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5,300 | Mitochondrial DNA maintenance in Drosophila melanogaster | All 37 mitochondrial DNA (mtDNA)-encoded genes involved with oxidative phosphorylation and intramitochondrial protein synthesis, and several nuclear-encoded genes involved with mtDNA replication, transcription, repair and recombination are conserved between the fruit fly Drosophila melanogaster and mammals. This, in addition to its easy genetic tractability, has made Drosophila a useful model for our understanding of animal mtDNA maintenance and human mtDNA diseases. However, there are key differences between the Drosophila and mammalian systems that feature the diversity of mtDNA maintenance processes inside animal cells. Here, we review what is known about mtDNA maintenance in Drosophila, highlighting areas for which more research is warranted and providing a perspective preliminary in silico and in vivo analyses of the tissue specificity of mtDNA maintenance processes in this model organism. Our results suggest new roles (or the lack thereof) for well-known maintenance proteins, such as the helicase Twinkle and the accessory subunit of DNA polymerase γ, and for other Drosophila gene products that may even aid in shedding light on mtDNA maintenance in other animals. We hope to provide the reader some interesting paths that can be taken to help our community show how Drosophila may impact future mtDNA maintenance research. |
5,301 | SRI3D: Two-stream inflated 3D ConvNet based on sparse regularization for action recognition | Although most state-of-the-art action recognition models have adopted a two-stream 3D convolutional structure as a backbone network, few works have studied the impact of loss functions on action recognition models. In addition, sparsity is used as a key prior knowledge in many fields. However, as far as is known, no one has studied the influence of the sparsity of network output on the output of deep learning-based action recognition models. Therefore, this paper proposes a novel two-stream inflated 3D ConvNet based on the sparse regularization (SRI3D) model for action recognition. In order to allow the network to learn the sparsity of output, the l(1) norm is embedded in the loss function in regularization form in a plug-and-play manner. It can make the classification result after the fusion of the two-stream network only be the category with the highest confidence in one of the streams and not the other cases. The proposed loss function based on sparse regularization makes the output vector of the neural network as sparse as possible so that the classification results will not be ambiguous. Experimental results show that compared with other state-of-the-art models, this SRI3D has a competitive advantage on Kinetics-400, Something-Something V2, UCF-101 and HMDB-51. |
5,302 | Binding interaction of SGLT with sugar and thiosugar by the molecular dynamics simulation | The human sodium-glucose co-transporter 2 (hSGLT2) is a transporter responsible for reabsorption of glucose in the proximal convoluted tubule of the kidney. hSGLT2 inhibitors, including luseogliflozin, have been developed as drugs for type 2 diabetes mellitus. Only luseogliflozin contains a thiosugar ring in its chemical structure, while other hSGLT2 inhibitors contain glucose rings. Consequently, we focused on the binding interactions of hSGLT2 with sugars and thiosugars. We first revealed that the binding affinities of thiosugars are stronger than those of sugars through molecular dynamics simulations of Vibrio parahaemolyticus, sodium-galactose co-transporter, and human hSGLT2. We then demonstrated that Na(+) dissociates from the protein to the cytoplasmic solution more slowly in the thiosugar system than in the sugar system. These differences between sugars and thiosugars are discussed on the basis of the different binding modes due to the atom at the 5-position of the sugar and thiosugar rings. Finally, as a result of Na(+) dissociation, we suggest that the dissociation of thiosugars is slower than that of sugars. |
5,303 | Occurrence and ecological risks of brominated flame retardants and dechlorane plus in sediments from the Pearl River Estuary and Daya Bay, South China | Considering the phasing-out of polybrominated diphenyl ethers (PBDEs), environmental concerns of PBDE alternatives and dechlorane plus (DP) are rising. Accordingly, this study investigates occurrence and ecological risks of PBDEs, PBDE alternatives and DPs in sediments of two littoral regions, the Pearl River Estuary (PRE) and Daya Bay (DYB), in southern China. Total PBDEs concentrations in surface sediments of the PRE and DYB were in the range (mean) of 0.30-28.7 (8.71) and 0.29-43.4 (6.05) ng/g dw, respectively. DP levels in surface sediments of the PRE (0.004-0.27 ng/g dw) were significantly higher than those in the DYB (0.005-0.24 ng/g dw) (p < 0.05). BDE 209 was the predominant component, followed by DBDPE, exhibiting regional variations in BFRs usage. Vertical profiles of BFRs and DP in the PRE and DYB sediment cores exhibited clear anthropogenic influences. Risk quotients suggest critical ecological risks of tetra-, penta- and deca-BDE congeners in all the surface sediments. |
5,304 | Efficient Hardware Implementation of Real-Time Low-Power Movement Intention Detector System Using FFT and Adaptive Wavelet Transform | The brain-computer interfacing (BCI), a platform to extract features and classify different motor movement tasks from noisy and highly correlated electroencephalogram signals, is limited mostly by the complex and power-hungry algorithms. Among different techniques recently devised to tackle this issue, real-time onset detection, due to its negligible delay and minimal power overhead, is the most efficient one. Here, we propose a novel algorithm that outperforms the state-of-the-art design by sixfold in terms of speed, without sacrificing the accuracy for a real-time, hand movement intention detection based on the adaptive wavelet transform with only 1 s detection delay and maximum sensitivity of 88% and selectivity of 78% (only 7% loss of sensitivity). |
5,305 | Kronecker-Markov Prior for Dynamic 3D Reconstruction | Recovering dynamic 3D structures from 2D image observations is highly under-constrained because of projection andmissing data, motivating the use of strong priors to constrain shape deformation. In this paper, we empirically show that the spatiotemporal covariance of natural deformations is dominated by a Kronecker pattern. We demonstrate that this pattern arises as the limit of a spatiotemporal autoregressive process, and derive a Kronecker Markov Random Field as a prior distribution over dynamic structures. This distribution unifies shape and trajectory models of prior art and has the individual models as its marginals. The key assumption of the Kronecker MRF is that the spatiotemporal covariance is separable into the product of a temporal and a shape covariance, and can therefore bemodeled using thematrix normal distribution. Analysis on motion capture data validates that this distribution is an accurate approximation with significantly fewer free parameters. Using the trace-norm, we present a convex method to estimate missing data from a single sequence when the marginal shape distribution is unknown. The Kronecker-Markov distribution, fit to a single sequence, outperforms state-of-the-art methods at inferring missing 3D data, and additionally provides covariance estimates of the uncertainty. |
5,306 | Kernel Regression for Matrix-Variate Gaussian Distributed Signals Over Sample Graphs | Recent advances of kernel regression assume that target signals lie over a feature graph such that their values can be predicted with the assistance of the graph learned from training data. In this article, we propose a novel kernel regression framework whose outputs follow a matrix-variate Gaussian distribution (MVGD) such that the kernel matrix can he viewed as the column covariance matrix of outputs, and the hyperparameters of a chosen kernel can be optimized using gradient methods. Furthermore, in contrast to the state-of-the-art kernel regression algorithms over graph (KRG), a sample graph of target outputs is introduced to work with regression coefficients and hyperparameters of a chosen kernel in our algorithms. The proposed KRG framework is decomposed into two stages, including the estimation of row and column covariance matrices of MVGD and graph learning along with the estimation of regression coefficients. Numerical approaches are developed to tackle the corresponding optimization problems. Experimental results over synthetic and real-world datasets demonstrate that the performance of the proposed algorithms is superior to that of the state-of-the-art methods. |
5,307 | Random GUI Testing of Android Application Using Behavioral Model | Automated GUI testing based on behavioral model is one of the most efficient testing approaches. By mining user usage, test scenarios can be generated based on statistical models such as Markov chain. However, these works require static analysis before starting the exploration which requires too much prerequisites and time. To address these challenges, we propose a behavioral-based GUI testing approach for mobile applications that achieves faster and higher coverage. The proposed approach does not conduct static analysis. It creates a behavioral model from usage logs by applying a statistical model. The events within the behavioral model are mapped to GUI components in a GUI tree. Finally, it updates the model dynamically to increase the probability of an event that rarely or never occurs when users use the application. The proposed approach was evaluated on four open-source Android applications, and compared with the state-of-the-art tools and manual testing. The main evaluation criteria are code coverage and ability to and errors. The proposed approach performed better than the current state-of-the-art automated testing tools in most aspects. |
5,308 | Characteristics and Long-Term Outcome of Cerebellar Strokes in a Single Health Care Facility in Mexico | Objective The purpose of this study was to analyze and discuss the clinical characteristics, long-term outcome, and prognostic factors of cerebellar strokes treated in a single health care facility in Mexico. Methods We retrospectively reviewed the medical records of adult patients admitted to our hospital with diagnosis of cerebellar ischemic and hemorrhagic stroke between 2018 and 2020. Baseline data included sociodemographic and radiological variables, treatment (surgical versus conservative), and Glasgow Coma Scale on arrival (GCSOA). The final neurological outcome was evaluated with the Glasgow Outcome Scale (GOS) six months after hospital discharge. Results Ten patients (seven male and three female) with a mean age of 57.9 ± 9.3 years were included, six with cerebellar ischemic infarction and four with cerebellar hemorrhage. Out of the 10 patients, four underwent surgery (suboccipital decompressive craniectomy {SDC} ± ventriculostomy). The outcome was favorable in four cases (40%) and unfavorable in six (60%). Patients who underwent surgical treatment fared worse with all four cases associating poor outcome. The comparison between good and poor outcome groups showed significant differences in the presence of obstructive hydrocephalus (one versus six, p = 0.05) and poorer GCSOA (6.16 ± 1.72 versus 12.5 ± 3.6, p = 0.05), associating poorer outcome. Conclusion There is still controversy regarding the appropriate management of cerebellar strokes. The presence of obstructive hydrocephalus and poorer GCSOA are associated to worse outcomes. |
5,309 | Evidence for a fragile X messenger ribonucleoprotein 1 (FMR1) mRNA gain-of-function toxicity mechanism contributing to the pathogenesis of fragile X-associated premature ovarian insufficiency | Fragile X-associated premature ovarian insufficiency (FXPOI) is among a family of disorders caused by expansion of a CGG trinucleotide repeat sequence located in the 5' untranslated region (UTR) of the fragile X messenger ribonucleoprotein 1 (FMR1) gene on the X chromosome. Women with FXPOI have a depleted ovarian follicle population, resulting in amenorrhea, hypoestrogenism, and loss of fertility before the age of 40. FXPOI is caused by expansions of the CGG sequence to lengths between 55 and 200 repeats, known as a FMRI premutation, however the mechanism by which the premutation drives disease pathogenesis remains unclear. Two main hypotheses exist, which describe an mRNA toxic gain-of-function mechanism or a protein-based mechanism, where repeat-associated non-AUG (RAN) translation results in the production of an abnormal protein, called FMRpolyG. Here, we have developed an in vitro granulosa cell model of the FMR1 premutation by ectopically expressing CGG-repeat RNA and FMRpolyG protein. We show that expanded CGG-repeat RNA accumulated in intranuclear RNA structures, and these aggregates were able to cause significant granulosa cell death independent of FMRpolyG expression. Using an innovative RNA pulldown, mass spectrometry-based approach we have identified proteins that are specifically sequestered by CGG RNA aggregates in granulosa cells in vitro, and thus may be deregulated as consequence of this interaction. Furthermore, we have demonstrated reduced expression of three proteins identified via our RNA pulldown (FUS, PA2G4 and TRA2β) in ovarian follicles in a FMR1 premutation mouse model. Collectively, these data provide evidence for the contribution of an mRNA gain-of-function mechanism to FXPOI disease biology. |
5,310 | Anthrax Meningoencephalitis and Intracranial Hemorrhage | The neurological sequelae of Bacillus anthracis infection include a rapidly progressive fulminant meningoencephalitis frequently associated with intracranial hemorrhage, including subarachnoid and intracerebral hemorrhage. Higher mortality than other forms of bacterial meningitis suggests that antimicrobials and cardiopulmonary support alone may be insufficient and that strategies targeting the hemorrhage might improve outcomes. In this review, we describe the toxic role of intracranial hemorrhage in anthrax meningoencephalitis. We first examine the high incidence of intracranial hemorrhage in patients with anthrax meningoencephalitis. We then review common diseases that present with intracranial hemorrhage, including aneurysmal subarachnoid hemorrhage and spontaneous intracerebral hemorrhage, postulating applicability of established and potential neurointensive treatments to the multimodal management of hemorrhagic anthrax meningoencephalitis. Finally, we examine the therapeutic potential of minocycline, an antimicrobial that is effective against B. anthracis and that has been shown in preclinical studies to have neuroprotective properties, which thus might be repurposed for this historically fatal disease. |
5,311 | Decolorization of Dye-Containing Textile Industry Effluents Using Ganoderma Lucidum IBL-05 in Still Cultures | A locally isolated white rot fungus Ganoderma lucidum IBL-05 was used for development of a bioremediation process for original textile industry effluents. Dye-containing effluents of different colors were collected from the Arzoo (maroon), Ayesha (yellow), Ittemad (green), Crescent (navy blue) and Magna ( yellowish) textile industries of Faisalabad, Pakistan. G. lucidum IBL-05 was screened for its decolorization potential on all the effluents. Maximum decolorization (49.5%) was observed in the case of the Arzoo textile industry (ART) effluent (lambda(max) = 515 nm) on the 10th day of incubation. Therefore, the ART effluent was selected for optimization of its decolorization process. Process optimization could improve color removal efficiency of the fungus to 95% within only 2 days, catalyzed by manganese peroxidase (1295 U/mL) as the main enzyme activity at pH 3 and 35 degrees C using 1% starch supplemented Kirk's basal medium. Nitrogen addition inhibited enzyme formation and effluent decolorization. The economics and effectiveness of the process can be improved by further process optimization. Water Environ. Res., 82, 357 (2010). |
5,312 | Bilateral Primary Non-Hodgkin's Lymphoma of the Lacrimal Sac: A Case Report | Primary non-Hodgkin's lymphoma of the lacrimal sac is extremely rare, usually representing secondary involvement of systemic malignancy. We report a case of bilateral primary non-Hodgkin's lymphoma of the lacrimal sac presenting with bilateral medial canthal swelling for one month which was preceded by a history of chronic bilateral epiphora and a recurrent history of dacryocystitis. The symptoms partially responded to systemic antibiotics for the past three years. Clinical examination revealed bilateral diffuse erythematous medial canthal swelling extending to the upper cheeks. CT of the orbits and paranasal sinuses demonstrated soft tissue masses involving bilateral lacrimal sacs and ducts. Endoscopic dacryocystorhinostomy (DCR) with excision biopsy of both lacrimal sac was performed and histopathologically confirmed the diagnosis of extranodal marginal zone B-cell lymphoma. She completed six cycles of chemotherapy. The symptoms subsided and radiologically showed a significant reduction of soft tissue mass at bilateral nasolacrimal sacs and ducts after completion of chemotherapy. Recurrent atypical presentation of dacryocystitis with suboptimal response to standard treatment should raise a suspicion of secondary cause. Histopathological examination is therefore crucial to avoid delays in diagnosis and treatment. |
5,313 | Rotation Invariant Localization of Duplicated Image Regions Based on Zernike Moments | This paper proposes a forensic technique to localize duplicated image regions based on Zernike moments of small image blocks. We exploit rotation invariance properties to reliably unveil duplicated regions after arbitrary rotations. We devise a novel block matching procedure based on locality sensitive hashing and reduce false positives by examining the moments' phase. A massive experimental test setup benchmarks our algorithm against state-of-the-art methods under various perspectives, examining both pixel-level localization and image-level detection performance. By taking signal characteristics into account and distinguishing between "textured" and "smooth" duplicated regions, we find that the proposed method outperforms prior art in particular when duplicated regions are smooth. Experiments indicate high robustness against JPEG compression, blurring, additive white Gaussian noise, and moderate scaling. |
5,314 | Interdisciplinary palimpsest: visual representations of coastal change combining digital craft and geomorphology | From rocks to clay, a shared interest in natural materials and their physical transformation provided the initial common ground for an interdisciplinary art-geoscience collaborative project that also opened up a novel and engaging public communication channel. Scientific data collected for a location-based geomorphology mapping project was collaboratively re-interpreted and re-presented as a craft installation by using digital technologies and hand-crafted processes. The project explored how creative practice can uncover and broaden narratives, layering interpretations whilst respecting and embracing the need for accurate visual representation of scientific data. As the practice-based element of a broader digital craft PhD research programme, the project effectively demonstrated an enlarged field of practice for digital craft. The collaboration resulted in a large-scale, porcelain panelled, wall-mounted installation for public exhibition and has led to subsequent significant unforeseen developments in the scope and outlook of research work undertaken by the collaborators. This paper reflects on the synergies between disciplines that were uncovered and how project challenges were met. We conclude that the project work acted as a 'boundary object' for the two collaborating parties, able to represent different values and fulfil different objectives for each party at the same time, while also moving forward practice for both. |
5,315 | Cutting our own keys: New possibilities of neurodivergent storying in research | A lot of people who do research are also neurodivergent (such as being autistic or attention deficit hyperactivity disorder), but neurodivergent people do not always feel welcome in research spaces which are often shaped around neurotypical people. Some neurotypical researchers lack confidence in talking to neurodivergent people, and others feel like neurodivergent people might not be able to do good research about other people who are like them without being biased. We think it is important that all researchers are able to work well together, regardless of whether they are neurotypical, autistic, or attention deficit hyperactivity disorder (or any other neurotype) - in truly 'neurodiverse' teams. In this article we talk about how to create better spaces for all researchers, where we feel valued for who we are and take each others' needs into account. We do this using some approaches from other areas of research and talking about how they relate to our personal experiences of being neurodivergent researchers with our own personal stories. This article adds to a growing work on how we can work with people who are different from us, in more respectful and kind ways. |
5,316 | Layered approach for improving the quality of free-viewpoint depth-image-based rendering images | In free-viewpoint rendering systems, one of the most challenging goals is the creation of virtual views based on available color texture (RGB) and depth data. Conventional depth-image-based rendering (DIBR) approaches have assumed that the virtual camera can only be displaced horizontally, thus leading to fairly simple disocclusion artifacts. However, in free-viewpoint DIBR, the virtual camera can be positioned in an arbitrary way and the respective disocclusion artifacts can exhibit complicated anisotropic appearances. Consequently, conventional approaches for compensating disocclusion holes usually fail in such arbitrary camera motion. We present a disocclusion compensation technique based on texture inpainting. We propose a layered representation of both the color and depth images in local foreground, background, and undefined segments (a trimap). This representation allows for employing an efficient alpha-matting approach for reconstructing the underlying opacity layer followed by a background compensation and layered rendering. The performance of the proposed method is evaluated with respect to the state-of-the-art through objective and subjective tests. The achieved results, especially for large camera displacements, outperform the state-of-the-art. Those results assess the effectiveness of the proposed method and highlight the need for new quality metrics able to address the impairments of this type of content. (C) 2019 SPIE and IS&T |
5,317 | Fault detection and fuzzy rule extraction in AC motors by a neuro-fuzzy ART-based system | This paper introduces a system for fault detection and classification in AC motors based on soft computing. The kernel of the system is a neuro-fuzzy system, FasArt (Fuzzy Adaptive System ART-based), that permits the detection of a fault if it is in progress and its classification, with very low detection and diagnosis times that allow decisions to be made, avoiding definitive damage or failure when possible. The system has been tested on an AC motor in which 15 nondestructive fault types were generated, achieving a high level of detection and classification. The knowledge stored in the neuro-fuzzy system has been extracted by a fuzzy rule set with an acceptable degree of interpretability and without incoherency amongst the extracted rules. (c) 2005 Elsevier Ltd. All rights reserved. |
5,318 | Boundary-Aware Supervoxel-Level Iteratively Refined Interactive 3D Image Segmentation With Multi-Agent Reinforcement Learning | Interactive segmentation has recently been explored to effectively and efficiently harvest high-quality segmentation masks by iteratively incorporating user hints. While iterative in nature, most existing interactive segmentation methods tend to ignore the dynamics of successive interactions and take each interaction independently. We here propose to model iterative interactive image segmentation with a Markov decision process (MDP) and solve it with reinforcement learning (RL) where each voxel is treated as an agent. Considering the large exploration space for voxel-wise prediction and the dependence among neighboring voxels for the segmentation tasks, multi-agent reinforcement learning is adopted, where the voxel-level policy is shared among agents. Considering that boundary voxels are more important for segmentation, we further introduce a boundary-aware reward, which consists of a global reward in the form of relative cross-entropy gain, to update the policy in a constrained direction, and a boundary reward in the form of relative weight, to emphasize the correctness of boundary predictions. To combine the advantages of different types of interactions, i. e., simple and efficient for point-clicking, and stable and robust for scribbles, we propose a supervoxel-clicking based interaction design. Experimental results on four benchmark datasets have shown that the proposed method significantly outperforms the state-of-the-arts, with the advantage of fewer interactions, higher accuracy, and enhanced robustness. |
5,319 | Romantic Unions and Mental Health: The Role of Relationship Churning | The stress process perspective suggests that romantic relationship transitions can be stressors that impair mental health. Research on romantic relationships and mental health has ignored one common stressor, on-again/off-again relationships, or churning. Using five waves of data from the Fragile Families and Child Wellbeing Study (N = 3,176), we examine associations between relationship churning and mothers' mental health. We find that mothers experiencing relationship churning have worse mental health than mothers in stably together relationships, net of characteristics associated with selection into relationship instability; these associations persist over four years. Mothers experiencing relationship churning have similar mental health as their counterparts who experience union dissolution (with or without repartnering). Current relationship status and quality explain some of the differences between churning and stably together mothers. Findings emphasize attending to multiple types of family stressors-even stressors and instability in ongoing relationships-and the micro-level ecological factors that shape mental health. |
5,320 | Ensemble Modeling of the Baltic Sea Ecosystem to Provide Scenarios for Management | We present a multi-model ensemble study for the Baltic Sea, and investigate the combined impact of changing climate, external nutrient supply, and fisheries on the marine ecosystem. The applied regional climate system model contains state-of-the-art component models for the atmosphere, sea ice, ocean, land surface, terrestrial and marine biogeochemistry, and marine food-web. Time-dependent scenario simulations for the period 1960-2100 are performed and uncertainties of future projections are estimated. In addition, reconstructions since 1850 are carried out to evaluate the models sensitivity to external stressors on long time scales. Information from scenario simulations are used to support decision-makers and stakeholders and to raise awareness of climate change, environmental problems, and possible abatement strategies among the general public using geovisualization. It is concluded that the study results are relevant for the Baltic Sea Action Plan of the Helsinki Commission. |
5,321 | Real-Time Multi-Guidewire Endpoint Localization in Fluoroscopy Images | The real-time localization of the guidewire endpoints is a stepping stone to computer-assisted percutaneous coronary intervention (PCI). However, methods for multi-guidewire endpoint localization in fluoroscopy images are still scarce. In this paper, we introduce a framework for real-time multi-guidewire endpoint localization in fluoroscopy images. The framework consists of two stages, first detecting all guidewire instances in the fluoroscopy image, and then locating the endpoints of each single guidewire instance. In the first stage, a YOLOv3 detector is used for guidewire detection, and a post-processing algorithm is proposed to refine the guidewire detection results. In the second stage, a Segmentation Attention-hourglass (SA-hourglass) network is proposed to predict the endpoint locations of each single guidewire instance. The SA-hourglass network can be generalized to the keypoint localization of other surgical instruments. In our experiments, the SA-hourglass network is applied not only on a guidewire dataset but also on a retinal microsurgery dataset, reaching the mean pixel error (MPE) of 2.20 pixels on the guidewire dataset and the MPE of 5.30 pixels on the retinal microsurgery dataset, both achieving the state-of-the-art localization results. Besides, the inference rate of our framework is at least 20FPS, which meets the real-time requirement of fluoroscopy images (6-12FPS). |
5,322 | Photochemical and microbial transformation of particulate organic matter depending on its source and size | Particulate organic matter (POM) in water systems can be converted into dissolved organic matter (DOM) through various pathways depending on its properties and transformation. Thus, information on the behavior of POM is crucial for fully understanding water systems and the carbon cycle. In this study, the effects of particle size and the source of POM, as well as photochemical and microbial changes in DOM characteristics subsequently released from POM were evaluated using various spectral indices, excitation-emission matrix combined with parallel factor analysis components, and principal component analysis. The amount of dissolved organic carbon (DOC) released from POM during suspension was significantly associated with the carbon content of POM (p < 0.05). The amount of DOC (mg-C/g-SS) decreased in mineral-bound POM as a result of microbial degradation but increased in biogenic POM as a result of microbial dissolution, owing to the structural differences in organic matter from different sources. Mineral-bound POM showed more DOC production by photochemical desorption than microbial degradation, whereas biogenic POM displayed the opposite trend. The DOM derived from fine POM had more humified terrestrial humic-like substances than those derived from coarse POM. Principal components 1 and 2 were associated with DOC production and degree of humification, respectively. The increase in the degree of aromaticity and humification of organic matter was higher in mineral-bound POM by photochemical desorption of highly humified organic matter and in the biogenic POM by microbial dissolution. In conclusion, this study was able to provide basic information on the transformation of POM, thus, it is expected to broaden the knowledge of the biogeochemical cycle of organic matter. |
5,323 | Second Hand Smoke Exposure among Children in Indian Homes: Findings from the Global Adult Tobacco Survey | Children are vulnerable to second hand smoke (SHS) exposure because of limited control over their indoor environment, especially at homes. This study determines the magnitude, patterns and determinants of SHS exposure in the home among children in India. Data collected under the Global Adult Tobacco Survey (GATS) data, a household survey of adults ≥15 years of age during 2016-2017 conducted in India were analyzed to estimate the proportion of children exposed to SHS in their homes. GATS estimates and national census population projections for 2020 were also used to estimate the number of children exposed to SHS in the homes. Nearly half (46.5%) of the children <15 years of age were exposed to SHS in their homes in India which extrapolates to nearly an estimated 170 million. Children living in rural households, north-east and central regions and households with an adult smoker were more likely to be exposed to SHS. SHS exposure among children in home is high in India which calls for adoption of voluntary smoke-free homes initiative and promoting cessation among smokers. |
5,324 | Plant-associate interactions and diversification across trophic levels | Interactions between species are widely understood to have promoted the diversification of life on Earth, but how interactions spur the formation of new species remains unclear. Interacting species often become locally adapted to each other, but they may also be subject to shared dispersal limitations and environmental conditions. Moreover, theory predicts that different kinds of interactions have different effects on diversification. To better understand how species interactions promote diversification, we compiled population genetic studies of host plants and intimately associated herbivores, parasites, and mutualists. We used Bayesian multiple regressions and the BEDASSLE modeling framework to test whether host and associate population structures were correlated over and above the potentially confounding effects of geography and shared environmental variation. We found that associates' population structure often paralleled their hosts' population structure, and that this effect is robust to accounting for geographic distance and climate. Associate genetic structure was significantly explained by plant genetic structure somewhat more often in antagonistic interactions than in mutualistic ones. This aligns with a key prediction of coevolutionary theory that antagonistic interactions promote diversity through local adaptation of antagonists to hosts, while mutualistic interactions more often promote diversity via the effect of hosts' geographic distribution on mutualists' dispersal. |
5,325 | Use and storage of pesticides at home in France (the Pesti'home survey 2014) | Some epidemiological studies have raised health concerns following the chronic exposure of pregnant women and children to pesticides in the domestic environment. In France very little is known about potential exposure to pesticides at home. An observational study called Pesti'home was carried out in continental France between July and November 2014. The residential use of pesticides was investigated and an inventory of pesticides and active ingredients used and stored at home was drawn up. Plant protection products, biocides, and human and animal external pest control products were listed during face-to-face interviews. A random sample of households including at least one adult (18-79 years old) was selected following a two-stage stratified random sampling method using the national census database. Within each household, an adult was appointed to answer survey questions. Data related to the interviewee's sociodemographic and housing characteristics, the reported use of pesticides at home, and a visual inventory of all stored pesticides were collected. Overall, 1507 households participated. The participation rate was between 36% and 57% according to the definition chosen. Over the previous 12 months, 75% of households declared that they had used at least one pesticide. Households who used and stored at least one product most frequently used an insecticide (84%). The active ingredients most frequently used by these households as insecticides were pyrethroids, namely tetramethrin and permethrin. The Pesti'home survey collected detailed data on the residential use of pesticides for risk assessment at national and European levels. |
5,326 | Active paradoxical and pulmonary emboli in a first trimester pregnancy | Capturing a paradoxical embolism in real-time has been a challenge in recent literature. We present the unique case of a 33-year-old, G3P2 female at 8 weeks gestation presenting with dyspnea. An active thrombus through an undiagnosed patent foramen ovale was found requiring emergent surgical intervention with a positive outcome. The presence of a deep vein thrombosis, inferior vena caval thrombus, patent foramen ovale, and pulmonary artery thrombi was contemporarily documented. To our knowledge, there is minimal literature with this presentation. |
5,327 | A Functional Regression Approach to Facial Landmark Tracking | Linear regression is a fundamental building block in many face detection and tracking algorithms, typically used to predict shape displacements from image features through a linear mapping. This paper presents a Functional Regression solution to the least squares problem, which we coin Continuous Regression, resulting in the first real-time incremental face tracker. Contrary to prior work in Functional Regression, in which B-splines or Fourier series were used, we propose to approximate the input space by its first-order Taylor expansion, yielding a closed-form solution for the continuous domain of displacements. We then extend the continuous least squares problem to correlated variables, and demonstrate the generalisation of our approach. We incorporate Continuous Regression into the cascaded regression framework, and show its computational benefits for both training and testing. We then present a fast approach for incremental learning within Cascaded Continuous Regression, coined iCCR, and show that its complexity allows real-time face tracking, being 20 times faster than the state of the art. To the best of our knowledge, this is the first incremental face tracker that is shown to operate in real-time. We show that iCCR achieves state-of-the-art performance on the 300-VW dataset, the most recent, large-scale benchmark for face tracking. |
5,328 | An Optimized Logarithmic Converter With Equal Distribution of Relative Errors | State-of-the-art piecewise logarithmic converters employ nonuniform segments to reduce the variance of relative errors, particularly for small inputs. However, it is difficult to have an optimized algorithm to accurately choose the nonuniform segments for a required approximation error. In this brief, we present a relative error equal distribution (REED) algorithm that performs the nonuniform piecewise linear interpolation of logarithm. It is able to precisely set the nonuniform piecewise points so that the relative error of each segment is within an upper bound, and finally produce a flat relative error distribution. It can be applied to any number of segments, even if the number is not the power of 2. Experimental results show that our REED algorithm achieves over 70% reduction of average relative errors for the benchmark graphics application, compared to both the state-of-the-art uniform and nonuniform methods. Synthesis results show that our hardware resources are comparable to that of the state-of-the-art nonuniform methods. |
5,329 | Benchmarking equivariance for Deep Learning based optical flow estimators | The Optical Flow (OF) estimation is an important but challenging task used in various computer vision applications. Recently, the introduction of Deep Learning models has resulted in a veritable paradigm shift. However, such an approach can be biased towards the specific training data, which can lead to a considerable inaccuracy of the estimated OF in real world applications. This paper proposes a novel benchmark that can be used to identify and measure different biases of Deep Learning models for OF estimation. The benchmark focuses on testing the network equivariance, i.e. the model capability to handle data transformations. We have performed experiments based on public datasets to (1) investigate to what extent the state-of-the-art networks lack spatial equivariance when reflections are applied to the data; (2) propose new metrics and a methodology to assess the phenomenon; and (3) benchmark the state-of-the-art optical estimators and their core components for equivariance. The results show that some state-of-the-art Deep Learning techniques present a substantial degree of bias towards certain directions of motion. The proposed framework can help researchers and practitioners to develop more effective models for OF estimation. The testing and training scripts provided at https://github.com/stsavian/benchmarking_equivariance_for_of_estimators can be used to evaluate and compare different models for OF estimation. |
5,330 | Molecular evidence for decreased synaptic efficacy in the postmortem olfactory bulb of individuals with schizophrenia | Multiple lines of evidence suggest altered synaptic plasticity/connectivity as a pathophysiologic mechanism for various symptom domains of schizophrenia. Olfactory dysfunction, an endophenotype of schizophrenia, reflects altered activity of the olfactory circuitry, which conveys signals from olfactory receptor neurons to the olfactory cortex via synaptic connections in the glomeruli of the olfactory bulb. The olfactory system begins with intranasal olfactory receptor neuron axons synapsing with mitral and tufted cells in the glomeruli of the olfactory bulb, which then convey signals directly to the olfactory cortex. We hypothesized that olfactory dysfunction in schizophrenia is associated with dysregulation of synaptic efficacy in the glomeruli of the olfactory bulb. To test this, we employed semi-quantitative immunohistochemistry to examine the olfactory bulbs of 13 postmortem samples from schizophrenia and their matched control pairs for glomerular expression of 5 pre- and postsynaptic proteins that are involved in the integrity and function of synapses. In the glomeruli of schizophrenia cases compared to their matched controls, we found significant decreases in three presynaptic proteins which play crucial roles in vesicular glutamate transport - synapsin IIa (-18.05%, p=0.019), synaptophysin (-24.08% p=0.0016) and SNAP-25 (-23.9%, p=0.046). Two postsynaptic proteins important for spine formation and glutamatergic signaling were also decreased-spinophilin (-17.40%, p=0.042) and PSD-95 (-34.06%, p=0.015). These findings provide molecular evidence for decreased efficacy of synapses within the olfactory bulb, which may represent a synaptic mechanism underlying olfactory dysfunction in schizophrenia. |
5,331 | The Application of Nanotechnology and Nanomaterials in Cancer Diagnosis and Treatment: A Review | Cancer is one of the deadliest diseases worldwide in present times, with its incidence on a tremendous rise. It is caused by uncontrolled cell growth. Cancer therapies have advanced substantially, but there is a need for improvement in specificity and fear of systemic toxicity. Early detection is critical in improving patients' prognosis and quality of life, and recent advancements in technology, especially in dealing with biomaterials, have aided in that surge. Nanotechnology possesses the key to solving many of the downsides of traditional pharmaceutical formulations. Indeed, significant progress has been made in using customized nanomaterials for cancer diagnosis and treatment with high specificity, sensitivity, and efficacy. Nanotechnology is the integration of nanoscience into medicine by the use of nanoparticles. The advent of nanoscience in cancer diagnosis and treatment will help clinicians better assess and manage patients and improve the healthcare system and services. This review article gives an account of the clinical applications of nanoscience in the modern management of cancer, the different modalities of nanotechnology used, and the limitations and possible side effects of this new tool. |
5,332 | Algorithmic Advancements and a Comparative Investigation of Left and Right Looking Sparse LU Factorization on GPU Platform for Circuit Simulation | Sparse LU factorization is a key tool in the solution of large linear set of algebraic equations encompassing a wide range of computing applications. Recent advances in this field exploit the massively parallel architecture of the GPUs via left-looking algorithm (LLA) and right-looking algorithm (RLA). In this paper, adaptive cluster mode is proposed to improve the state-of-the-art in LLA for GPU platforms. The proposed method takes into consideration of varying sparsity at different levels during cluster mode execution, to adaptively configure the GPU block size and the number of parallel columns. The new refinements for LLA are also integrated with the dynamic parallelism that is available in modern GPU architectures. The paper also provides a comprehensive performance comparison of the LLA and hybrid RLA along with state-of-the-art advances on the same GPU platform. The results indicate that, when implemented with similar refinements and on a same platform, LLA provides better performance compared to the hybrid-RLA. The results would be useful to the scientific community while making decision on adopting LLA or RLA algorithms for sparse LU factorization. |
5,333 | Robot-Assisted Surgery in Gynecology | The advancement of robotics-based procedures in the medical industry is the subject of this review article. The purpose of the surgical robot is to increase surgical abilities and address human shortcomings. The robot's success has been predicated on its ability to accurately and consistently repeat tasks. The following are a few objectives and quantifiable benefits of robotic technology improving surgical maneuverability and physical capabilities. In 2005, the FDA granted gynecological surgery approval for the Da Vinci surgical system. It has been quickly embraced and has already taken on a significant role at many of the locations where it is offered. It consists of a cart with robotic branches next to the patient and a high-resolution three-dimensional (3D) vision system. This study covers laparoscopy via robots in benign gynecological surgeries, myomectomy surgery, hysterectomies, endometriosis, tubal anastomosis, and sacrocolpopexy. The appropriate published studies were evaluated after a PubMed search was conducted. Additionally, procedures that may be used in the future are highlighted. In benign gynecological illness, most currently available research does not show a substantial benefit over traditional laparoscopic surgery. Robotics, however, does provide help in more complicated operations. Compared to laparoscopy, robotic assistance has a lower conversion rate to open procedures. Endo wrist movement of an automated machine during myomectomy surgery can perform proper and better suturing than traditional laparoscopy. The automated program is a noticeable improvement over laparoscopic surgery and, if price issues are resolved, can gain popularity among gynecological surgeons around the globe. |
5,334 | Inclusion of curcumin in b-cyclodextrin: a promising prospective as food ingredient | In the present work, the inclusion complexes between curcumin (CC) and β-cyclodextrin (β-CD) were obtained through co-precipitation at different times of magnetic stirring and simple mixing. The stoichiometric ratio between CC and β-CD was ascertained to be 1:2. The samples prepared by co-precipitation (24 h magnetic stirring and 24 h cold static precipitation) and by simple mixing, showed the best performance in terms of powder recovery (72 and 97%, respectively), encapsulation efficiency (72 and 95%, respectively) and tinting power, while no significant differences were revealed in terms of loading capacity (about 14%). Using either inclusion method, the complexation of CC into β-CD make the colorant 20-fold more water soluble than pure CC. The pigment stability was also enhanced under different storage conditions (high temperature and light exposure), either when applied in liquid or gel state. However, after 30 days under natural light exposure, an appreciable colour change from yellow to orange was revealed to an extent probably perceptible by an inexperienced observer. |
5,335 | Change of algal organic matter under different dissolved oxygen and pressure conditions and its related disinfection by-products formation potential in metalimnetic oxygen minimum | Most of the reservoirs or lakes will form a metalimnetic oxygen minimum (MOM) with the characterization of a substantial fraction of dissolved oxygen (DO) depleted below the epilimnion. The effect of intracellular organic matter (IOM) of algal cells transformed under MOM conditions is completely different from that of the original IOM on water quality. In this study, the IOM changes of Microcystic aeruginosa under different MOM conditions and its related disinfection by-products formation potentials (DBPFPs) were investigated by changing the pressure and DO concentration of MOM. Total Fmax increased slightly and then decreased under different pressure conditions, finally decreasing by no more than 22.0%. Under aerobic condition, dissolved organic carbon (DOC) and total Fmax decreased significantly, and decreased by 60.4% and 38.8% within the first 2 days. The results of specific UV absorbance (SUVA) and UV250/UV365 indicated that aromatic compounds and average molecular weight of IOM were gradually increased under different MOM conditions. The total DBPFPs increased firstly and then decreased under different pressure conditions, and finally decreased by 26.2%-33.1%. The decrease of total DBPFPs was significantly higher under aerobic condition than that under anoxic condition, which finally decreased by 64.5%. Redundancy analysis showed that the fluorescence parameter (protein-like and humic-like fluorescence) could be expected as an index to predict the DBPFPs. Moreover, the results revealed that with the decrease of DO, the activity and diversity of natural microbial consortium decreased, which prevented the further degradation and utilization of organic matter by natural microbial consortium. Therefore, lower DO was a key player for the deterioration of water quality under MOM conditions. |
5,336 | Postprocessor for five-axis machining of STL surfaces based on Nagata interpolation and optimization of rotation angles | This paper proposes a postprocessor which applies the appropriate rotation rules to reduce the kinematic error (KE). Our first contribution is an algorithm which minimizes the KE using the Hausdorff distance. The shortest path algorithm includes the constraints relevant to the limits of the linear and the rotation axis. The proposed procedure is compared with state-of-the-art methods. It demonstrates an advantage in terms of the kinematic error for test surfaces characterized by a sharp curvature. The second contribution is testing interpolation methods of the STL surfaces. The first step of this procedure is the evaluation of the tessellation error (TE), i.e., the difference between the actual surface and the local or global interpolation obtained from the STL file. The numerical results show that a simple local interpolation using normal vectors proposed by Nagata performs well. The method has been tested against several state-of-the-art interpolation procedures, demonstrating a significant advantage. The proposed elements are integrated into a postprocessor. The experiments have been performed on a virtual and the actual tilt-table five-axis machining center (Haas VF-2TR). |
5,337 | A Sensor Data Processing Algorithm for Wind Turbine Hydraulic Pitch System Diagnosis | Modern wind turbines depend on their blade pitch systems for start-ups, shutdowns, and power control. Pitch system failures have, therefore, a considerable impact on their operation and integrity. Hydraulic pitch systems are very common, due to their flexibility, maintainability, and cost; hence, the relevance of diagnostic algorithms specifically targeted at them. We propose one such algorithm based on sensor data available to the vast majority of turbine controllers, which we process to fit a model of the hydraulic pitch system to obtain significant indicators of the presence of the critical failure modes. This algorithm differs from state-of-the-art, model-based algorithms in that it does not numerically time-integrate the model equations in parallel with the physical turbine, which is demanding in terms of in situ computation (or, alternatively, data transmission) and is highly susceptible to drift. Our algorithm requires only a modest amount of local sensor data processing, which can be asynchronous and intermittent, to produce negligible quantities of data to be transmitted for remote storage and analysis. In order to validate our algorithm, we use synthetic data generated with state-of-the-art aeroelastic and hydraulic simulation software. The results suggest that a diagnosis of the critical wind turbine hydraulic pitch system failure modes based on our algorithm is viable. |
5,338 | Molecular profiling identifies distinct subtypes across TP53 mutant tumors | Tumor protein 53 mutation (TP53mut) is one of the most important driver events facilitating tumorigenesis, which could induce a series of chain reactions to promote tumor malignant transformation. However, the malignancy progression patterns under TP53 mutation remain less known. Clarifying the molecular landscapes of TP53mut tumors will help us understand the process of tumor development and aid precise treatment. Here, we distilled genetic and epigenetic features altered in TP53mut cancers for cluster-of-clusters analysis. Using integrated classification, we derived 5 different subtypes of TP53mut patients. These subtypes have distinct features in genomic alteration, clinical relevance, microenvironment dysregulation, and potential therapeutics. Among the 5 subtypes, COCA3 was identified as the subtype with worst prognosis, causing an immunosuppressive microenvironment and immunotherapeutic resistance. Further drug efficacy research highlighted olaparib as the most promising therapeutic agents for COCA3 tumors. Importantly, the therapeutic efficacy of olaparib in COCA3 and immunotherapy in non-COCA3 tumors was validated via in vivo experimentation. Our study explored the important molecular events and developed a subtype classification system with distinct targeted therapy strategies for different subtypes of TP53mut tumors. These multiomics classification systems provide a valuable resource that significantly expands the knowledge of TP53mut tumors and may eventually benefit in clinical practice. |
5,339 | Visitors of two types of museums: A segmentation study | Market segmentation comprises a wide range of measurement tools that are useful for the sake of supporting marketing and promotional policies also in the sector of cultural economics. This paper aims to contribute to the literature on segmenting cultural visitors by using the Bagged Clustering method, as an alternative and effective strategy to conduct cluster analysis when binary variables are used. The technique is a combination of hierarchical and partitioning methods and presents several advantages with respect to more standard techniques, such as k-means and LVQ. For this purpose, two ad hoc surveys were conducted between June and September 2011 in the two principal museums of the two provinces of the Trentino-South Tyrol region (Bolzano and Trento), Northern Italy: the South Tyrol Museum of Archaeology in Bolzano (OTZI), hosting the permanent exhibition of the "Iceman" Otzi, and the Museum of Modern and Contemporaneous Art of Trento and Rovereto (MART). The segmentation analysis was conducted separately for the two kinds of museums in order to find similarities and differences in behaviour patterns and characteristics of visitors. The analysis identified three and two cluster segments respectively for the MART and OTZI visitors, where two OTZI clusters presented similar characteristics to two out of three MART groups. Conclusions highlight marketing and managerial implications for a better direction of the museums. (C) 2012 Elsevier Ltd. All rights reserved. |
5,340 | Theoretical Circuit Design of an Efficient Spintronic Random Number Generator With an Internal Postprocessing Unit | In this letter, a spintronic true random number generator (TRNG) is designed using the stochastic switching feature of the magnetic tunnel junction device in the subcritical current regime. The proposed structure consumes low power and occupies a small area. Also, to improve the quality of random numbers production and compensate for the impact of process variations on the quality of the random output, the proposed TRNG includes an internal postprocessing unit. Compared to state-of-the-art designs, using an internal postprocessing unit reduces the proposed generator's area overhead and power consumption. The simulation results show that the TRNG proposed in this letter consumes up to 68% less power and occupies up to 64% smaller area than the state-of-the-art design. Also, due to the existence of the efficient postprocessing unit, the proposed TRNG successfully passes the National Institute of Standards and Technology random number tests even in the presence of the fabrication process variations. |
5,341 | Hand gesture recognition using topological features | Hand Gestures Recognition (HGR) is one of the main areas of research for Human Computer Interaction applications. Most existing approaches are based on local or geometrical properties of pixels. Still, there are some serious challenges on HGR methods such as sensitivity to rotation, scale, illumination, perturbation, and occlusion. In this paper, we study HGR from graph viewpoints. We introduce a set of meaningful shape features based on a graph constructed by Growing Neural Gas (GNG) algorithm. These features are constructed from topological properties of this graph. Graph properties in conserving topological features improve stability against different deformations, scale, and noise. We evaluate our method on NTU Hand Digits dataset with state-of-the-art methods. We also prepared a comprehensive dataset (SBU-1) for different hand gestures containing 2170 images. This dataset includes many possible deformations and variations and some articulations. Most of the existing datasets don't capture these variations. We show the robustness of the algorithm to scale, rotation and noise, while preserving similar recognition rate in comparison with the state-of-the-art results. |
5,342 | CNF+CT: Context Network Fusion of Cascade-Trained Convolutional Neural Networks for Image Super-Resolution | A novel cascade learning framework to incrementally train deeper and more accurate convolutional neural networks is introduced. The proposed cascade learning facilitates the training of deep efficient networks with plain convolutional neural network (CNN) architectures, as well as with residual network (ResNet) architectures. This is demonstrated on the problem of image super-resolution (SR). We show that cascade-trained (CT) SR CNNs and CT-ResNets can achieve state-of-the-art results with a smaller number of network parameters. To further improve the network's efficiency, we propose a cascade trimming strategy that progressively reduces the network size, proceeding by trimming a group of layers at a time, while preserving the network's discriminative ability. We propose context network fusion (CNF) as a method to combine features from an ensemble of networks through context fusion layers. We show that CNF of an ensemble of CT SR networks can result in a network with better efficiency and accuracy than that of other fusion methods. CNF can also be trained by the proposed edge-aware loss function to obtain sharper edges and improve the perceptual image quality. Experiments on benchmark datasets show that our proposed deep convolutional networks achieve state-of-the-art accuracy and are much faster than existing deep super-resolution networks. |
5,343 | First-time mothers' experiences of foetal reduction in pregnancy following assisted reproductive technology treatment in Taiwan: a qualitative study | Background Foetal reduction-removal of one or more foetuses to reduce the number of foetuses in multiple conceptions-is a procedure used for improving pregnancy outcomes following assisted reproductive technology (ART) treatment. While there is a recognition of the importance of understanding the experiences of women who undergo foetal reduction to offer appropriate help and support, studies that provide relevant insights are sparse. Our aim was to gain an in-depth understanding about first-time mothers' experiences of foetal reduction following ART treatment in Taiwan. Methods We adopted a qualitative design based on a phenomenological approach for this study. In-depth semi-structured interviews were conducted with seven first-time mothers who underwent foetal reduction following ART treatment at a fertility centre in Taipei, Taiwan. All interviews were recorded, transcribed and analysed using the Colaizzi strategy. Results The views and experiences relating to foetal reduction reflected five key themes: hesitation, ambivalence and distress; the guilt of knowingly terminating a life; rituals and ceremonies to ease the sense of guilt; persuading oneself to consider the 'big picture'; and wishing for a reunion in next pregnancy. Mothers often regretted that they took clinical advice to implant multiple embryos and then having had to resort to foetal reduction. There was a sense of hesitation, ambivalence and distress reflected in the views from all participants. They believed that they ended the fetuses' lives knowingly and expressed strong feelings of guilt. Mothers often tried to persuade themselves to look at foetal reduction within the 'big picture' of the overall pregnancy outcome. Losing their unborn babies was as an unforgettable incident for most mothers, and they wished for a reunion with the lost baby in the next pregnancy. Conclusion Findings indicate the need for ART providers to undertake a more sensitive approach that involves detailed discussions with women and their families to tailor the embryo transfer processes to suit individual needs. Women who undergo foetal reduction should be provided with tailored interventions towards enhancing their coping strategies before and after foetal reduction taking into account the cultural and religious context. |
5,344 | Do Discounts in Ticket Prices Induce Sustainable Profit to Performing Arts Suppliers? | This study investigates the effect of price promotions for musicals on consumer perception of fairness toward other similar musicals and the role of consumer involvement in performing arts as a moderating variable. A threshold regression estimation which was performed using data from a survey on South Korean consumers showed a decrease in consumers' fairness perception once they became aware of discounts on similar performing arts and, consequently, a decrease in their intent to purchase tickets at regular prices. The results also showed that the samples can be split into low- and high-involvement groups, with the effect of fairness perception on purchase intention statistically significant for both groups, however, larger for the high-involvement group; the high-involvement group is expected to consume more performing arts products than the low-involvement group. These results imply that consumer perception of unfairness regarding ticket price discounts may negatively affect the long-term profits of performing arts suppliers. |
5,345 | Constant-Parameter Interfacing of Induction Machine Models Considering Main Flux Saturation in EMTP-Type Programs | The state-of-the-art magnetically linear voltage-behind-reactance (VBR) and phase-domain induction machine models for nodal-analysis-based electromagnetic transients programs (EMTP-type) offer an excellent combination of numerical stability, accuracy, and efficiency. However, incorporation of magnetic saturation in these models renders their interfacing circuits dependent on the operating segment of the piecewise-linear saturation characteristics. Consequently, refactorization of the network's conductance matrix is required during simulations, which reduces the numerical efficiency of the overall solution and limits the models' range of application. This paper presents a new VBR squirrel-cage induction machine model that includes main flux saturation and possesses a saturation-independent constant-parameter interfacing circuit. Case studies in PSCAD/EMTDC demonstrate that the proposed model offers similar numerical stability and accuracy to the state-of-the-art models, while considerably increasing simulation speed for practical multimachine systems. |
5,346 | A preliminary study on the association between social media at night and sleep quality: The relevance of FOMO, cognitive pre-sleep arousal, and maladaptive cognitive emotion regulation | Research shows that nighttime social media is negatively associated with sleep quality and that it might be utilized to cope with aversive psychological states related to cognitive pre-sleep arousal (i.e., transdiagnostic psychopathology variables, referring to maladaptive repetitive thought), namely Fear of Missing Out (FoMO). The use of nighttime social media to cope with other aversive cognitive states (i.e., worry/rumination), their relationship with FoMO, and these variables' association with sleep are not fully understood. This study explored the relationships between nighttime social media, sleep quality, FoMO, cognitive pre-sleep arousal, and maladaptive cognitive emotion regulation (i.e., worry/rumination). The present correlational study followed a cross-sectional design. Participants were 525 university students, ranging in age from 18 to 64 (M = 22.39, SD = 5.62). Measures of sleep quality, morningness/eveningness, cognitive pre-sleep arousal, worry, rumination, FoMO, nighttime screen, and social media use were collected online or in pencil-paper format. Multiple linear regression analyses were performed. Nighttime social media and FoMO were associated with rumination, worry (H1) and cognitive pre-sleep arousal. Both FoMO and worry predicted higher levels of cognitive pre-sleep arousal (H2) and nighttime social media use (H3). Nighttime social media use independently predicted poor sleep quality (H4). These results suggest that worry and FoMO may potentially affect sleep quality by increasing cognitive pre-sleep arousal and nighttime social media. A possible explanation for these findings is that nighttime social media might be used as a strategy to cope with aversive cognitive states. These conclusions may contribute to improving sleep intervention in this population. |
5,347 | A Bayesian Inference Based Hybrid Recommender System | The large mass of various products/services accessible on the Internet has motivated the development of recommender systems to refine the selection of items aligned with users' expectations. Recommender systems have been developed to tackle the item targeting problem. They are crucial tools that quickly target items fitting users' needs, thus allowing them to easily identify the items that fit their tastes and preferences. Following state-of-the-art methods, a distinction is made between content-based recommender approaches and collaborative filtering-based recommender approaches. Collaborative filtering-based recommender approaches are the most widely adopted methods. They are divided into memory-based methods that show the advantage of their easy-understandability, and model-based methods that are data sparsity resilient and high-accurate. In this paper, we propose a hybrid model-based recommendation approach, a combination of a user-based approach and an item-based approach. Our method estimates the probability with which a user would rate an item. It performs a Bayesian inference of future end-user interests and shows the advantage of the easy-understandability of memory-based methods and the effectiveness of model-based methods. Experiments are conducted on real-world datasets and show that our method outperforms several state-of-the-art recommendation methods regarding the prediction accuracy and the recommendation quality. |
5,348 | Occurrence and ecological risk assessment of antibiotic residues in urban wastewater discharged into the coastal environment of the Persian Gulf (the case of Bandar Abbas) | This is the first attempt to detect antibiotic residues released into the Persian Gulf marine environment. In particular, this study quantifies and assesses the ecological risks of amoxicillin (AMX) and azithromycin (AZM) residues in wastewater outfalls from Bandar Abbas, one of the major coastal cities in southern Iran. The wastewater effluent samples were collected from two main wastewater discharging stations, Gursuzan and Suru, between December 2020 and February 2021. High-performance liquid chromatography (HPLC) analysis revealed the average concentration (± 95% CL) of AMX were 460 ± 230.0 μg L-1 and 280 ± 100.6 μg L-1 in Gursuzan and Suru stations. Mean AZM concentrations were also 264 ± 10.59 μg L-1 and 295 ± 89.75 μg L-1 in these stations, respectively. Pooled data indicated that there are 335.17 ± 105.11 and 288.17 ± 37.94 μg of AMX and AZM residues in the wastewater per liter. The values of potential ecological risk, hazard quotient (HQ), were extensively above 10 (AMX: 90,586.5 and AZM: 5541.7) which suggest that these substances have a high health risk for the ecosystem and public. Given that Bandar Abbas wastewater treatment plant (WWTP) outlets are discharged at about 500 to 700 L s-1, the daily maximum potential AMX and AZM released were estimated to be 19.05 (± 0.283) × 103 and 14.74 (± 0.113) × 103 g day-1, respectively (α = 0.05). Our findings show that there is a concerning volume of antibiotic residues released into the northern Persian Gulf, and hence urgent policies and actions are necessary to reduce this pollution. |
5,349 | Activating Data through Eco-Didactic Design in the Public Realm: Enabling Sustainable Development in Cities | This paper explores how design in the public realm can integrate city data to help disseminate the information embedded within it and provide urban opportunities for knowledge exchange. The hypothesis is that such art and design practices in public spaces, as places of knowledge exchange, may enable more sustainable communities and cities through the visualization of data. To achieve this, we developed a methodology to compare various design approaches for integrating three main elements in public-space design projects: city data, specific issues of sustainability, and varying methods for activating the data. To test this methodology, we applied it to a pedogeological project where students were required to render city data visible. We analyze the proposals presented by the young designers to understand their approaches to design, data, and education. We study how they "educate" and "dialogue" with the community about sustainable issues. Specifically, the research attempts to answer the following questions: (1) How can we use data in the design of public spaces as a means for sustainability knowledge exchange in the city? (2) How can community-based design contribute to innovative data collection and dissemination for advancing sustainability in the city? (3) What are the overlaps between the projects' intended impacts and the 17 United Nations Sustainable Development Goals (SDGs)? Our findings suggest that there is a need for such creative practices, as they make information available to the community, using unconventional methods. Furthermore, more research is needed to better understand the short- and long-term outcomes of these works in the public realm. |
5,350 | Comparison of Early Urinary Continence, Oncological Outcomes, and Postoperative Complications in Retzius-Sparing and Standard Approach Robot-Assisted Radical Prostatectomy | Background: The aim of the study is to compare the results of early urinary continence (UC), pathological results, console time (CT), and perioperative morbidity in patients who underwent transperitoneal robot-assisted radical prostatectomy (TR-RARP) and Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) surgeries in the treatment of clinically localized prostate cancer. Methods: A total of 120 patients, 60 (Group 1) with the TR-RALP technique and 60 (Group 2) with the RS-RALP technique, who had no statistical difference in their preoperative demographic data, were selected retrospectively. Perioperative and postoperative data, and continence rates in the first, third and sixth months were compared between the 2 groups. Results: There was no significant difference between the groups in terms of CT, hemoglobin change, and perioperative and postoperative data. There was a statistically significant difference between the 2 groups in favor of RS-RARP in terms of UC in the first and third months, whereas there was no statistically significant difference between the groups at month 6 (P = .001, P = .002, and P = .245, respectively). Conclusion: This study demonstrates that the RS-RARP technique is a promising approach to achieve early continence without compromising oncological principles and without increased complication rates. |
5,351 | NEC ASL/SX series mathematical libraries on the SX-6 supercomputer | With the evolution of the computing capabilities of supercomputers, there are growing and diversified demands for numerical modeling of natural phenomena and engineering problems. Fast and robust numerical algorithms are essential as a basis for scientific applications. NEC has been developing the ASL/SX Series mathematical libraries to facilitate the state-of-art numerical algorithms in building scientific and engineering application programs. This paper gives an outline of the features and performance of the ASL/SX Series. |
5,352 | Primary synovial sarcoma of the prostate: A case report and literature review | Synovial sarcoma arising from the prostate is extremely rare. Synovial sarcoma of the prostate is usually identified at a late stage and makes the treatment challenging. Here, we report a case of 30-year-old man with advanced metastatic synovial sarcoma of prostate gland at diagnosis and his poor prognosis. |
5,353 | Nanotechnological approaches for diagnosis and treatment of ovarian cancer: a review of recent trends | Formulations from nanotechnology platform promote therapeutic drug delivery and offer various advantages such as biocompatibility, non-inflammatory effects, high therapeutic output, biodegradability, non-toxicity, and biocompatibility in comparison with free drug delivery. Due to inherent shortcomings of conventional drug delivery to cancerous tissues, alternative nanotechnological-based approaches have been developed for such ailments. Ovarian cancer is the leading gynecological cancer with higher mortality rates due to its reoccurrence and late diagnosis. In recent years, the field of medical nanotechnology has witnessed significant progress in addressing existing problems and improving the diagnosis and therapy of various diseases including cancer. Nevertheless, the literature and current reviews on nanotechnology are mainly focused on its applications in other cancers or diseases. In this review, we focused on the nanoscale drug delivery systems for ovarian cancer targeted therapy and diagnosis, and different nanocarriers systems including dendrimers, nanoparticles, liposomes, nanocapsules, and nanomicelles for ovarian cancer have been discussed. In comparison to non-functionalized counterparts of nanoformulations, the therapeutic potential and preferential targeting of ovarian cancer through ligand functionalized nanoformulations' development has been reviewed. Furthermore, numerous biomarkers such as prostatic, mucin 1, CA-125, apoptosis repeat baculoviral inhibitor-5, human epididymis protein-4, and e-cadherin have been identified and elucidated in this review for the assessment of ovarian cancer. Nanomaterial biosensor-based tumor markers and their various types for ovarian cancer diagnosis are explained in this article. In association, different nanocarrier approaches for the ovarian cancer therapy have also been underpinned. To ensure ovarian cancer control and efficient detection, there is an urgent need for faster and less costly medical tools in the arena of oncology. |
5,354 | Musical development during adolescence: Perceptual skills, cognitive resources, and musical training | Longitudinal studies on musical development can provide very valuable insights and potentially evidence for causal mechanisms driving the development of musical skills and cognitive resources, such as working memory and intelligence. Nonetheless, quantitative longitudinal studies on musical and cognitive development are very rare in the published literature. Hence, the aim of this paper is to document available longitudinal evidence on musical development from three different sources. In part I, data from a systematic literature review are presented in a graphical format, making developmental trends from five previous longitudinal studies comparable. Part II presents a model of musical development derived from music-related variables that are part of the British Millennium Cohort Study. In part III, data from the ongoing LongGold project are analyzed answering five questions on the change of musical skills and cognitive resources across adolescence and on the role that musical training and activities might play in these developmental processes. Results provide evidence for substantial near transfer effects (from musical training to musical skills) and weaker evidence for far-transfer to cognitive variables. But results also show evidence of cognitive profiles of high intelligence and working memory capacity that are conducive to strong subsequent growth rates of musical development. |
5,355 | STAT3 promotes CD1d-mediated lipid antigen presentation by regulating a critical gene in glycosphingolipid biosynthesis | Cytokines that regulate the immune response signal through the Janus kinase / signal transducer and activation of transcription (JAK/STAT) pathway, but whether this pathway can regulate CD1d-mediated lipid antigen presentation to natural killer T (NKT) cells is unknown. Here, we found that STAT3 promotes antigen presentation by CD1d. Antigen-presenting cells (APCs) in which STAT3 expression was inhibited exhibited markedly reduced endogenous lipid antigen presentation to NKT cells without an impact on exogenous lipid antigen presentation by CD1d. Consistent with this observation, in APCs where STAT3 was knocked down, dramatically decreased levels of UDP glucose ceramide glucosyltransferase (UGCG), an enzyme involved in the first step of glycosphingolipid biosynthesis, were observed. Impaired lipid antigen presentation was reversed by ectopic expression of UGCG in STAT3-silenced CD1d(+) APCs. Hence, by controlling a fundamental step in CD1d-mediated lipid antigen presentation, STAT3 signalling promotes innate immune responses driven by CD1d. |
5,356 | Emulating biological strategies for uncontrolled face recognition | Face recognition technology is of great significance for applications involving national security and crime prevention. Despite enormous progress in this field, machine-based system is still far from the goal of matching the versatility and reliability of human face recognition. In this paper, we show that a simple system designed by emulating biological strategies of human visual system can largely surpass the state-of-the-art performance on uncontrolled face recognition. In particular, the proposed system integrates dual retinal texture and color features for face representation, an incremental robust discriminant model for high level face coding, and a hierarchical cue-fusion method for similarity qualification. we demonstrate the strength of the system on the large-scale face verification task following the evaluation protocol of the Face Recognition Grand Challenge (FRGC) version 2 Experiment 4. The results are surprisingly well: Its modules significantly outperform their state-of-the-art counterparts, such as Gabor image representation, local binary patterns, and enhanced Fisher linear discriminant model. Furthermore, applying the integrated system to the FRGC version 2 Experiment 4, the verification rate at the false acceptance rate of 0.1 percent reaches to 93.12 percent. (C) 2010 Elsevier Ltd. All rights reserved. |
5,357 | Incidence Rate and Risk Factors for Tuberculosis among People Living with HIV: A 2015-2017 Cohort from Tashkent, Uzbekistan | People living with the human immunodeficiency virus (PLHIV) have a higher risk of developing active tuberculosis (TB) disease, and TB remains a major cause of death in PLHIV. Uzbekistan is facing a substantial TB epidemic, which increases the risk of PLHIV developing active TB. Our retrospective cohort study aimed to evaluate the incidence rate and assess the risk factors for developing active TB among PLHIV. We collected secondary data extracted from medical charts of all patients, newly diagnosed at the AIDS Center in Tashkent, during the period of 2015-2017. The incidence rate of TB among PLHIV was 5.1 (95% CI: 4.5-6.0) per 1000 person/month. Adjusted regression analysis showed three major risk factors for TB, namely, being less than 15 years old (hazard ratio (HR) 5.83; 95% CI: 3.24-10.50, p value = 0.001),low CD4 count (adjusted hazard ratio(aHR) 21.0; 95% CI: 9.25-47.7, p value < 0.001), and antiretroviral therapy (ART) interruption/not receiving ART (aHR 5.57; 95% CI: 3.46-8.97 and aHR 6.2; 95% CI: 3.75-10.24, p value < 0.001, respectively) were significantly associated with developing active TB among PLHIV. Our findings indicate that taking prescribed ART without interruptions and maintaining CD4cell counts higher than 320 cells/mu L are essential to prevent the development of active TB among PLHIV. |
5,358 | Sensitivity of state-of-the-art and high efficiency crystalline silicon solar cells to metal impurities | For the first time, the sensitivity to impurities of the solar cell conversion efficiency is reported for a state-of-the-art (i.e., 18%) and advanced device architecture (i.e., 23%). The data are based on the experimental results obtained in the CrystalClear project for the state-of-the-art cell process and extrapolated to a device with excellent front and rear surface passivation. Both device structures are not assumed to work in low injection level as several studies assumed before, but real operating conditions are considered. This is a fundamental difference with the past and required for modeling future high efficiency devices. The impurity with highest impact is Ti, followed by Cu, Cr, Ni and Fe, which form together a group two order of magnitude less sensitive than the former. In high efficiency devices, a large reduction of the impurity impact is visible for impurities with large capture cross-section ratio like Fe, which reduces its relative difference in comparison with, for example, Cr, which has a small capture cross-section ratio. In general, advanced devices will be more sensitive to the impurity content than the state-of-the-art cell design. This effect is partly compensated by a reduction of the substrate thickness. The impurity sensitivity as function of the substrate thickness is reported. Copyright (c) 2012 John Wiley & Sons, Ltd. |
5,359 | Ethylglucuronide in maternal hair as a biomarker of prenatal alcohol exposure | While direct ethanol metabolites, including ethylglucuronide (EtG), play an important role for the confirmation of prenatal alcohol exposure (PAE), their utility is often limited by their short half-lives in blood and urine. Maternal hair allows for a retrospective measure of PAE for up to several months. This study examined the validity of hair EtG (hEtG) relative to self-reporting and five other biomarkers in 85 pregnant women. Patients were recruited from a UNM prenatal clinic, which provides care to women with substance abuse and addiction disorders. The composite index, which was based on self-reported measures of alcohol use and allowed us to classify subjects into PAE (n = 42) and control (n = 43) groups, was the criterion measure used to estimate the sensitivity and specificity of hEtG. Proximal segments of hair were collected at enrollment (average 22.0 gestational weeks) and analyzed by LC-MS/MS. At the same visit, maternal blood and urine specimens were collected for analysis of GGT, %dCDT, PEth, uEtG, and uEtS. The study population included mostly opioid-dependent (80%) patients, a large proportion of ethnic minorities (75.3% Hispanic/Latina, 8.2% American Indian, 4.7% African-American), and patients with low education (48.2% < high school). The mean maternal age at enrollment was 26.7 ± 4.8 years. Hair EtG demonstrated 19% sensitivity and 86% specificity. The sensitivities of other biomarkers were comparable (5-20%) to hEtG but specificities were higher (98-100%). Hair EtG sensitivity improved when combined with other biomarkers, especially with GGT (32.5%) and PEth (27.5%). In addition, validity of hEtG improved in patients with less frequent shampooing and those who did not use hair dyes/chemical treatments. These data suggest that hEtG alone is not a sufficiently sensitive or specific biomarker to be used separately for the identification of PAE, but might be useful in a battery along with other maternal biomarkers. |
5,360 | Spatially Directed Biosynthesis of Quantum Dots via Spidroin Templating in Escherichia coli | Spatially directed synthesis of quantum dots (QDs) is intriguing yet challenging in organisms, due to the dispersed feature of templating biomolecules and precursors. Whether this task could be accomplished by biomolecular condensates, an emerging type of membraneless compartments in cells remains unknown. Here we report synthetic protein condensates for templated synthesis of QDs in bacterium Escherichia coli. This was realized by overexpression of spider silk protein to bind precursor ions and recruit other necessary components, which induced the spidroin to form more β-sheet structures for assembly and maturation of the protein condensates. This in turn enabled formation and co-localization of the fluorescent QDs to "light up" the condensates, and alleviated cytotoxicity of the precursor heavy metal ions and resulting QDs. Thus, our results suggest a new strategy for nanostructure synthesis and deposition in subcellular compartments with great potential for in situ applications. |
5,361 | Content-Based Medical Image Retrieval System for Skin Melanoma Diagnosis Based on Optimized Pair-Wise Comparison Approach | Medical image analysis for perfect diagnosis of disease has become a very challenging task. Due to improper diagnosis, required medical treatment may be skipped. Proper diagnosis is needed as suspected lesions could be missed by the physician's eye. Hence, this problem can be settled up by better means with the investigation of similar case studies present in the healthcare database. In this context, this paper substantiates an assistive system that would help dermatologists for accurate identification of 23 different kinds of melanoma. For this, 2300 dermoscopic images were used to train the skin-melanoma similar image search system. The proposed system uses feature extraction by assigning dynamic weights to the low-level features based on the individual characteristics of the searched images. Optimal weights are obtained by the newly proposed optimized pair-wise comparison (OPWC) approach. The uniqueness of the proposed approach is that it provides the dynamic weights to the features of the searched image instead of applying static weights. The proposed approach is supported by analytic hierarchy process (AHP) and meta-heuristic optimization algorithms such as particle swarm optimization (PSO), JAYA, genetic algorithm (GA), and gray wolf optimization (GWO). The proposed approach has been tested with images of 23 classes of melanoma and achieved significant precision and recall. Thus, this approach of skin melanoma image search can be used as an expert assistive system to help dermatologists/physicians for accurate identification of different types of melanomas. |
5,362 | 3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images | Accurate and reliable segmentation of the prostate gland using magnetic resonance (MR) imaging has critical importance for the diagnosis and treatment of prostate diseases, especially prostate cancer. Although many automated segmentation approaches, including those based on deep learning have been proposed, the segmentation performance still has room for improvement due to the large variability in image appearance, imaging interference, and anisotropic spatial resolution. In this paper, we propose the 3D adversarial pyramid anisotropic convolutional deep neural network (3D APA-Net) for prostate segmentation in MR images. This model is composed of a generator (i.e., 3D PA-Net) that performs image segmentation and a discriminator (i.e., a six-layer convolutional neural network) that differentiates between a segmentation result and its corresponding ground truth. The 3D PA-Net has an encoder-decoder architecture, which consists of a 3D ResNet encoder, an anisotropic convolutional decoder, and multi-level pyramid convolutional skip connections. The anisotropic convolutional blocks can exploit the 3D context information of the MR images with anisotropic resolution, the pyramid convolutional blocks address both voxel classification and gland localization issues, and the adversarial training regularizes 3D PA-Net and thus enables it to generate spatially consistent and continuous segmentation results. We evaluated the proposed 3D APA-Net against several state-of-the-art deep learning-based segmentation approaches on two public databases and the hybrid of the two. Our results suggest that the proposed model outperforms the compared approaches on three databases and could be used in a routine clinical workflow. |
5,363 | Frequency Guided Generalized Adaptive Notch Filtering-Tracking Analysis and Optimization | Generalized adaptive notch filters (GANFs) are estimators of coefficients of quasi-periodically time-varying systems, encountered e.g., in RF applications when Doppler effect takes place. Current state of the art GANFs can deliver highly accurate estimates of system variations' frequency, but underperform in terms of accuracy of system coefficient estimates. The paper proposes a novel multistage GANF with improved coefficient tracking properties and smaller sensitivity to choice of estimation gains. The processing pipeline consists of three stages. First, a pilot filter computes preliminary frequency estimates. Second, a special linear filter reshapes the pilot frequency estimates. Third, a frequency guided GANF works out final estimates of system coefficients. A nontrivial design of the second stage filter assures that the proposed solution has a considerably better performance than current stage of the art solutions or a simpler two-stage approach consisting of the pilot and the frequency guided filter only. |
5,364 | Multivariate online kernel density estimation with Gaussian kernels | We propose a novel approach to online estimation of probability density functions, which is based on kernel density estimation (KDE). The method maintains and updates a non-parametric model of the observed data, from which the KDE can be calculated. We propose an online bandwidth estimation approach and a compression/revitalization scheme which maintains the KDE's complexity low. We compare the proposed online KDE to the state-of-the-art approaches on examples of estimating stationary and non-stationary distributions, and on examples of classification. The results show that the online KDE outperforms or achieves a comparable performance to the state-of-the-art and produces models with a significantly lower complexity while allowing online adaptation. (C) 2011 Elsevier Ltd. All rights reserved. |
5,365 | Post-traumatic growth in adult patients with systemic lupus erythematosus: a cross-sectional study in China | This cross-sectional study aims to evaluate the post-traumatic growth (PTG) level and explores its predictors among adult patients with SLE in China. From April 2020 to April 2021, 135 hospitalized adult SLE patients completed the questionnaire including sociodemographic and disease-related data, Post-traumatic Growth Inventory (PTGI), Medical Coping Modes Questionnaire (MCMQ), Social Support Rating Scale (SSRS), Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale (HADS), and Self-Perceived Burden Scale (SPBS). Descriptive analysis, pearson's correlation analysis, and forward multiple line regression analysis were used for analysis by SPSS 22.0. Results showed that, the mean PTGI score was 57.52 ± 20.82. Pearson correlation analysis showed that, complicated autoimmune hemolytic anemia (r = - 0.185), CD4 +/CD8 + (r = - 0.383), acceptance-resignation (r = - 0.185), poor PSQI (r = - 0.215), and depression (r = - 0.322) were negatively associated with total PTGI score; while the relationship with lupus nephritis (r = 0.247), confrontation (r = 0.313), avoidance (r = 0.379), and SSRS (r = 0.242) were positive (all P < 0.05). The total score of PTGI and its five sub-dimensions were not correlated with anxiety and self-perceived burden. Further, CD4 +/CD8 +, confrontation of MCMQ, and SSRS could explain 30.3% of the variance in total PTGI (F = 6.646, P < 0.01). In summary, Chinese adults with SLE experience moderate levels of PTG. Clinical nurses need pay attention to the current disease status and individual characteristics of patients, as well as their mental health, to promote their growth experience, so that they can cope with the future life in a better state and coexist well with SLE. |
5,366 | View-based 3D object retrieval via multi-modal graph learning | Content-based 3D object retrieval has wide applications in various domains, ranging from virtual reality to computer aided design and entertainment With the rapid development of digitizing technologies, different views of 3D objects are captured, which requires for effective and efficient view-based 3D object retrieval (V3DOR) techniques. As each object is represented by a set of multiple views, V3DOR becomes a group matching problem. Most of state-of-the-art V3DOR methods use one single feature to describe a 3D object, which is often insufficient. In this paper, we propose a feature fusion method via multi-modal graph learning for view-based 3D object retrieval. Firstly, different visual features, including 2D Zernike moments, 2D Fourier descriptor and 2D Krawtchouk moments, are extracted to describe each view of a 3D object Then the Hausdorff distance is computed to measure the similarity between two 3D objects with multiple views. Finally we construct multiple graphs based on different features and learn the optimized weights of each graph automatically for feature fusion task. Extensive experiments are conducted on the ETH-80 dataset and the National Taiwan University 3D model dataset. The results demonstrate the superior performance of the proposed method, as compared to the state-of-the-art approaches. (C) 2014 Elsevier B.V. All rights reserved. |
5,367 | Emission Characteristics and Formation Mechanism of Carbonyl Compounds from Residential Solid Fuel Combustion Based on Real-World Measurements and Tube-Furnace Experiments | This study updated carbonyl compound (CC) emission factors (EFs) and composition for residential solid fuel combustion based on real-world measurements of 124 fuel/stove combinations in China and explored the CC formation mechanism using tube-furnace experiments with 19 fuels and low/high temperatures to explain the impact of fuel and stove on CC emission characteristics. The average EFCC values for straw, wood, and coal were 1.94 ± 1.57, 1.50 ± 0.88, and 0.40 ± 0.54 g/kg, respectively. Formaldehyde and acetaldehyde were the most abundant species, accounting for 40-60% of CCs, followed by acetone (∼20%), aromatic aldehydes (∼10%), and unsaturated aldehydes (∼5%). Different from formaldehyde and acetaldehyde, other species showed significant variation among fuel types. All these characteristics could be explained by the difference in the volatile content and chemical structure of fuel, such as aromatic in coal versus lignin in biomass. The improvement in stove technology reduced CC emissions by 30.4-69.7% (mainly formaldehyde and acetaldehyde) among fuels but increased the proportion of aromatic aldehydes by 24.3-89.4%. Various CC species showed different formation mechanisms related to fuel property and burning temperature. The volatile matter derived from thermal pyrolysis of fuel polymers determined CC composition, while higher temperature preferentially degraded formaldehyde and acetaldehyde but promoted the formation of acetone and aromatic aldehydes. This study not only revealed emission characteristic of CCs from RSFC but also contributed to the improvement of clean combustion technology. |
5,368 | A new approach to clustering data with arbitrary shapes | In this paper we propose a clustering algorithm to cluster data with arbitrary shapes without knowing the number of clusters in advance. The proposed algorithm is a two-stage algorithm. In the first stage, a neural network incorporated with an ART-like training algorithm is used to cluster data into a set of multi-dimensional hyperellipsoids. At the second stage, a dendrogram is built to complement the neural network. We then use dendrograms and so-called tables of relative frequency counts to help analysts to pick some trustable clustering results from a lot of different clustering results. Several data sets were tested to demonstrate the performance of the proposed algorithm. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved. |
5,369 | Monkeypox in Pregnancy: Susceptibility, Maternal and Fetal Outcomes, and One Health Concept | An overlooked endemic zoonosis in Africa, monkeypox infection, which has spread to multiple non-endemic countries since early May 2022, was declared a Public Health Emergency of International Concern by the World Health Organization on July 23, 2022. As of August 8, 2022, over 28,000 confirmed and probable monkeypox cases were reported globally, including 6 deaths from the African continent and 4 deaths from the non-endemic regions. Although the current outbreak mostly belongs to the West African clade, which has a lower-case fatality ratio of <1%, there is limited data among immune-weakened individuals infected with monkeypox. It is still unknown if pregnant people are more susceptible to monkeypox. In addition, it is unclear whether having monkeypox increases the risk of birth defects. This commentary addresses reported cases of monkeypox infection in pregnancy and the possible maternal and fetal outcomes, including congenital monkeypox, miscarriage, or stillbirth. Factors behind the escalating global monkeypox outbreak, as well as the prevention and control of monkeypox via the One Health approach, are discussed to shed light on curbing the continuous emergence of monkeypox. |
5,370 | Identification and characterization of novel abdominal and pelvic brown adipose depots in mice | Brown adipose tissue (BAT) generates heat through non-shivering thermogenesis, and increasing BAT amounts or activity could facilitate obesity treatment and provide metabolic benefits. In mice, BAT has been reported in perirenal, thoracic and cranial sites. Here, we describe new pelvic and lower abdominal BAT depots located around the urethra, internal reproductive and urinary tract organs and major lower pelvic blood vessels, as well as between adjacent muscles where the upper hind leg meets the abdominal cavity. Immunohistochemical, western blot and PCR analyses revealed that these tissues expressed BAT markers such as uncoupling protein 1 (UCP1) and CIDEA, but not white adipose markers, and β3-adrenergic stimulation increased UCP1 amounts, a classic characteristic of BAT tissue. The newly identified BAT stores contained extensive sympathetic innervation with high mitochondrial density and multilocular lipid droplets similar to interscapular BAT. BAT repositories were present and functional neonatally, and showed developmental changes between the neonatal and adult periods. In summary, several new depots showing classical BAT characteristics are reported and characterized in the lower abdominal/pelvic region of mice. These BAT stores are likely significant metabolic regulators in the mouse and some data suggests that similar BAT depots may also exist in humans. |
5,371 | Rock temperatures as an indicator of weathering processes affecting rock art | To aid rock art conservation, rock temperatures have been monitored at different depths and at low (30 min) and high (1 min) acquisition rates in a painted rock shelter in the uKhahlamba-Drakensberg Park (South Africa). Preliminary data for winter (cold and dry) show that in that season cryoclasty is unlikely to occur (rare subzero thermal events and probable reduced moisture availability) and thermal shocks are improbable (highest measured Delta T/Delta t < 2 degrees C min(-1)). High amplitude (about 30 degrees C) rock temperature cycles accompanied by reversals of the thermal gradient have been observed to occur almost daily and hint at the possibility of thermal stress fatigue. Copyright (c) 2006 John Wiley & Sons, Ltd. |
5,372 | Toward Accurate Binarized Neural Networks With Sparsity for Mobile Application | While binarized neural networks (BNNs) have attracted great interest, popular approaches proposed so far mainly exploit the symmetric sign function for feature binarization, i.e., to binarize activations into -1 and +1 with a fixed threshold of 0. However, whether this option is optimal has been largely overlooked. In this work, we propose the Sparsity-inducing BNN (Si-BNN) to quantize the activations to be either 0 or +1, which better approximates ReLU using 1-bit. We further introduce trainable thresholds into the backward function of binarization to guide the gradient propagation. Our method dramatically outperforms the current state-of-the-art, lowering the performance gap between full-precision networks and BNNs on mainstream architectures, achieving the new state-of-the-art on binarized AlexNet (Top-1 50.5%), ResNet-18 (Top-1 62.2%), and ResNet-50 (Top-1 68.3%). At inference time, Si-BNN still enjoys the high efficiency of bit-wise operations. In our implementation, the running time of binary AlexNet on the CPU can be competitive with the popular GPU-based deep learning framework. |
5,373 | Noise Parameter Estimation for Poisson Corrupted Images Using Variance Stabilization Transforms | Noise is present in all images captured by real-world image sensors. Poisson distribution is said to model the stochastic nature of the photon arrival process and agrees with the distribution of measured pixel values. We propose a method for estimating unknown noise parameters from Poisson corrupted images using properties of variance stabilization. With a significantly lower computational complexity and improved stability, the proposed estimation technique yields noise parameters that are comparable in accuracy to the state-of-art methods. |
5,374 | A new family of CMOS inverter-based OTAs for biomedical and healthcare applications | This paper presents a new family of innovative operational transconductance amplifier (OTA) topologies based on CMOS inverter structures, with improved gain and energy-efficiency. This new family of OTA designs is suitable for biomedical and healthcare circuits and systems, due to the high energy-efficiency, improved gain and low level of noise contribution, when compared to the state-of-the-art in this field. In this paper, two fully-differential implementations are presented, a first one with a double CMOS branch biased by two pairs of voltage-combiners structures in both NMOS and PMOS configurations, and a second one with folded voltage-combiners specifically targeting low voltage applications, e.g., supplies below 1 V. The usage of voltage-combiners to bias the OTAs improves the gain and the gain-bandwidth product, therefore improving the energy-efficiency figure-of-merit. High values of figure-of-merit are achieved in both implementations, i.e., more than 1600 MHz x pF/mA and 2000 MHz x pF/mA, gain values above 53 dB and 50 dB under supply sources of 2 V and 0.7 V respectively. The folded voltage-combiners biased OTA is able to operate correctly under a voltage supply down to 0.7 V with proper DC biasing. The results are finally compared with state-of-the-art in this field and the potential of the circuits is fulfilled using a state-of-the-art layout-aware integrated-circuit optimization framework, AIDA, particularly relevant in order to overcome the device stacking problematic for lower voltages. |
5,375 | Differences in trunk control between early and late pregnancy during gait | The aim of this study was to compare gait characteristics, including the functional ability of the trunk, between women before and during the third trimester of pregnancy. Gait measurements were performed on 27 pregnant women, who were divided into two groups using the threshold of 28 gestational weeks. The subjects were instructed to walk at their preferred speed. In addition to stride-time coefficient of variation, root mean square (RMS) and autocorrelation coefficient, coefficient of attenuation (CoA) of acceleration was computed as an index to assess the functional ability of the trunk. Differences of gait characteristics between the groups were determined by the Mann-Whitney U test. Gait characteristics that showed a significant difference between the groups were further analyzed with adjustment by age, height, weight and gait velocity by using multiple regression analysis. Women during the third trimester of pregnancy showed significantly smaller RMS in the anteroposterior direction at the lower trunk than those before the third trimester of pregnancy, even after adjusting for age, height, weight and gait velocity [β=0.47; 95% confidence interval (CI) 0.07-0.25]. CoA in the anteroposterior direction was also significantly lower in women during the third trimester of pregnancy than in those before the third trimester of pregnancy after adjustment by age, height, weight and gait velocity (β=0.44; 95% CI 0.39-18.52). The present cross-sectional study suggests the possibility that the functional ability of the trunk during gait declines in late pregnancy. |
5,376 | A seasonal pulse of ungulate neonates influences space use by carnivores in a multi-predator, multi-prey system | The behavioral mechanisms by which predators encounter prey are poorly resolved. In particular, the extent to which predators engage in active search for prey versus incidentally encountering them has not been well studied in many systems and particularly not for neonate prey during the birth pulse. Parturition of many large herbivores occurs during a short and predictable temporal window in which young are highly vulnerable to predation. Our study aims to determine how a suite of carnivores responds to the seasonal pulse of newborn ungulates using contemporaneous global positioning system (GPS) locations of four species of predators and two species of prey. We used step-selection functions to assess whether coyotes, cougars, black bears, and bobcats encountered parturient adult female ungulates more often than expected by chance in a low-density population of mule deer and a high-density population of elk. We then assessed whether the carnivore species that encountered parturient prey more often than expected by chance did so by shifting their habitat use toward areas with a high probability of encountering neonates. None of the four carnivore species encountered GPS-collared parturient mule deer more often than expected by chance. By contrast, we determined that cougar and male bear movements positioned them in the proximity of GPS-collared parturient elk more often than expected by chance which may provide evidence of searching behavior. Although both male bears and cougars exhibited behavior consistent with active search for neonates, only male bears used elk parturition habitat in a way that dynamically tracked the phenology of the elk birth pulse suggesting that maximizing encounters with juvenile elk was a motivation when selecting resources. Our results suggest that there is high interspecific and intersexual variability in foraging strategies among large mammalian predators and their prey. |
5,377 | P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning | Semi-supervised learning (SSL) methods for classification tasks exhibit a significant performance gain because they combine regularization and pseudo-labeling methods. General pseudo-labeling methods only depend on the model's prediction when assigning pseudo-labels, but this approach often leads to the generation of incorrect pseudo-labels, due to the network being biased toward easy classes or to the presence of confusing samples in the training set, which further decreases model performance. To address this issue, we propose a novel pseudo-labeling framework that dramatically reduces the ambiguity of pseudo-labels for confusing samples in SSL. We operate our method, called Pruning for Pseudo-Label (P-PseudoLabel), using the Easy-to-Forget (ETF) Sample Finder, which compares the outputs of the model and the pruned model to identify confusing samples. Next, we perform negative learning using the confusing samples to decrease the risk of providing incorrect information and to improve performance. Our method achieves better performance than those of recent state-of-the-art SSL methods on the CIFAR-10, CIFAR-100, and Mini-ImageNet datasets, and is on par with the state-of-the-art methods on SVHN and STL-10. |
5,378 | MBL2 gene polymorphisms related to HIV-1 infection susceptibility and treatment response | Human Mannose-binding lectin (MBL) is a protein encoded by MBL2 gene involved in the activation of the lectin-complement pathway. Several studies emphasized the role of MBL2 gene in several infectious diseases' susceptibility, including HIV-1 infection. We aim to investigate the impact of 10 MBL2 gene polymorphisms located in the promoter, 5'UTR and exon 1 regions on HIV-1 physiopathology. The polymorphisms genotyping of 400 individuals, which 200 were HIV-1 positive patients and 200 were controls, was performed by PCR-sequencing. Our results showed that rs503037 and rs1800451 polymorphisms are associated with a high risk of HIV-1 infection susceptibility while rs7096206 and rs11003123 showed a protective effect. A significant association between haplotype CGA and HIV-1 infection susceptibility was also found in the exon 1 region. Moreover, rs11003124, rs7084554, rs36014597 and rs11003123 polymorphisms revealed an association with treatment response outcome as measured by RNA viral load. This study highlights the importance of MBL2 polymorphisms in the modulation of HIV-1 infection susceptibility and the contribution to treatment response outcomes among Moroccan subjects. |
5,379 | Optimism of the Will. Antonio Gramsci Takes in Max Weber | Responding to Max Weber's dour predictions, we enlist Antonio Gramsci's optimism to suggest how culture can spike development. Weber's sociological focus took culture to mean shared beliefs and practices. As a culture that derives from the Protestant Ethic, capitalism waged a war on pleasure. Weber warned that this unfeeling rationality would generate an iron cage to trap our humanity, but his book has been read, paradoxically, as a manual for the lock down. Gramsci, on the contrary, understood culture in its humanistic sense, as a field of aesthetic pleasure, innovation, and debate. For him, a precondition for transformational social change was the broad engagement of masses as empowered collectives (Weber favored charismatic leaders); and pleasure in idiosyncratic forms of artistic as well as rooted expression was the fuel for participating in personal and shared advances. This pleasure in art and collective interpretation contrasts with the exclusionary rituals of commodified pleasure typical of capitalist consumerism. Gramsci's confidence in the transformational role of creative culture provides a framework for understanding a new wave of inclusive artistic practices that originate in the Global South and that revive the arts as vehicles for active citizenship. Participatory art can re-enchant today's sorely disenchanted socio-cultural world of mature capitalism. |
5,380 | RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations | Accurate surgery duration estimation is necessary for optimal OR planning, which plays an important role in patient comfort and safety as well as resource optimization. It is, however, challenging to preoperatively predict surgery duration since it varies significantly depending on the patient condition, surgeon skills, and intraoperative situation. In this paper, we propose a deep learning pipeline, referred to as RSDNet, which automatically estimates the remaining surgery duration (RSD) intraoperatively by using only visual information from laparoscopic videos. The previous state-of-the-art approaches for RSD prediction are dependentonmanual annotation, whose generation requires expensive expert knowledge and is time-consuming, especially considering the numerous types of surgeries performed in a hospital and the large number of laparoscopic videos available. A crucial feature of RSD-Net is that it does not depend on any manual annotation during training, making it easily scalable to many kinds of surgeries. The generalizability of our approach is demonstrated by testing the pipelineon two large datasets containing different types of surgeries: 120 cholecystectomy and 170 gastric bypass videos. The experimental results also show that the proposed network significantly outperforms a traditional method of estimating RSD without utilizing manual annotation. Further, this paper provides a deeper insight into the deep learning network through visualization and interpretation of the features that are automatically learned. |
5,381 | ArtiaX: An electron tomography toolbox for the interactive handling of sub-tomograms in UCSF ChimeraX | Cryo-electron tomography analysis involves the selection of macromolecular complexes to be used for subsequent sub-tomogram averaging and structure determination. Here, we describe a plugin developed for UCSF ChimeraX that allows for the display, selection, and editing of particles within tomograms. Positions and orientations of selected particles can be manually set, modified and inspected in real time, both on screen and in virtual reality, and exported to various file formats. The plugin allows for the parallel visualization of particles stored in several meta data lists, in the context of any three-dimensional image that can be opened with UCSF ChimeraX. The particles are rendered in user-defined colors or using colormaps, such that individual classes or groups of particles, cross-correlation coefficients, or other types of information can be highlighted to the user. The implemented functions are fast, reliable, and intuitive, exploring the broad range of features in UCSF ChimeraX. They allow for a fluent human-machine interaction, which enables an effective understanding of the sub-tomogram processing pipeline, even for non-specialist users. |
5,382 | Adaptive Decoupling of Nonideal Machine and Sensor Properties for Extraction of Fine Details When Using the Motor Drive as a Diagnostic Sensor | This paper presents methods to enhance the quality of spatial information that can be extracted when using the motor drive as a diagnostic sensor. When using the state-of-the-art motor drive-based techniques for extracting spatial information related to the state of wear in a gear train driven by an ac machine, position sensor-induced periodic position measurement errors and machine-induced spatial harmonic torque ripple can degrade the quality and the detail of the information that can be extracted. In this work, this degradation of information is displayed experimentally, and it is demonstrated that the quality of the spatial information extracted can be significantly improved through implementation of existing model reference adaptive system (MRAS)based nonideal sensor property decoupling techniques and newly developed MRAS-based spatial harmonic torque ripple decoupling techniques. Furthermore, it is identified and demonstrated in this work that by removing the gear mesh harmonic component from the gear wear information extracted using the state-of-the-art techniques, and then calculating the spatial rate of change of this new information, a new signal is generated that strongly correlates to local gear tooth defects in a gear train driven by an ac machine. |
5,383 | Nearest-Neighbor based Metric Functions for indoor scene recognition | Indoor scene recognition is a challenging problem in the classical scene recognition domain due to the severe intra-class variations and inter-class similarities of man-made indoor structures. State-of-the-art scene recognition techniques such as capturing holistic representations of an image demonstrate low performance on indoor scenes. Other methods that introduce intermediate steps such as identifying objects and associating them with scenes have the handicap of successfully localizing and recognizing the objects in a highly cluttered and sophisticated environment. We propose a classification method that can handle such difficulties of the problem domain by employing a metric function based on the Nearest-Neighbor classification procedure using the bag-of-visual words scheme, the so-called codebooks. Considering the codebook construction as a Voronoi tessellation of the feature space, we have observed that, given an image, a learned weighted distance of the extracted feature vectors to the center of the Voronoi cells gives a strong indication of the image's category. Our method outperforms state-of-the-art approaches on an indoor scene recognition benchmark and achieves competitive results on a general scene dataset, using a single type of descriptor. (C) 2011 Elsevier Inc. All rights reserved. |
5,384 | Segmentation of farmlands in aerial images by deep learning framework with feature fusion and context aggregation modules | Automated segmentation of farmland patterns in high resolution aerial images is very crucial for smart farming. Recently, deep learning techniques have achieved tremendous success in various semantic segmentation tasks, however, little efforts have been made in farmland semantic segmentation in high resolution aerial images. Farmland semantic segmentation in aerial images is a challenging task due to large variation in scales and shapes of agriculture patterns. Furthermore, different agriculture patterns share similar visual features that usually result in mis-classifications of pixels. To efficiently tackle these problems, we propose a deep learning framework that captures scene context and aggregate multi-scale information from different convolutional blocks. Generally, the framework consists of two main modules:(1) feature fusion module and (2) global contextual module. Feature fusion module combines the feature maps of different convolutional blocks to capture wide variation in object scales, while global contextual module aggregate rich contextual information from different regions of the image by employing pyramid pooling module. We gauge the performance of proposed framework on challenging benchmarks dataset, Agriculture-vision and also compare our results with various state-of-the-art methods. From experiment results, we demonstrate that the proposed framework achieves best performance in identifying various complex agriculture patterns and supersedes state-of-the-art methods. |
5,385 | A Joint Framework for Denoising and Estimating Diffusion Kurtosis Tensors Using Multiple Prior Information | Diffusion kurtosis imaging (DKI) has been shown to be valuable in a wide range of neuroscientific and clinical applications. However, reliable estimation of DKI tensors is often compromised by noise, especially for the kurtosis tensor (KT). Here, we propose a joint denoising and estimating framework that integrates multiple sources of prior information, including nonlocal structural self-similarity (NSS), local spatial smoothness (LSS), physical relevance (PR) of the DKI model, and noise characteristics of magnitude diffusion MRI (dMRI) images for improved estimation of DKI tensors. The local and nonlocal spatial smoothing constraints are complementary to each other, making the proposed framework highly effective in reducing the noise fluctuations on DKI tensors, especially KT. As an additional refinement, we propose to impose a physically relevant constraint within our joint denoising and estimation framework. We further adopt the first-moment noise-corrected fitting model ((MNCM)-N-1) to remove the noncentral chi-distribution noise bias. The effectiveness of integrating multiple sources of priors into the joint framework is verified by comparing the proposed (MNCM)-N-1-NSS-LSS-PR method with various versions of (MNCM)-N-1-based estimators and two state-of-the-art methods. Results show that the proposed method outperformed the compared methods in simulations and in-vivo dMRI datasets of both spatially stationary and nonstationary noise distributions. The in-vivo experiments also show that the proposed (MNCM)-N-1-NSS-LSS-PR method was robust to the number of diffusion directions. |
5,386 | A Fast Method for High-Resolution Voiced/Unvoiced Detection and Glottal Closure/Opening Instant Estimation of Speech | We propose a fast speech analysis method which simultaneously performs high-resolution voiced/unvoiced detection (VUD) and accurate estimation of glottal closure and glottal opening instants (GCIs and GOIs, respectively). The proposed algorithm exploits the structure of the glottal flow derivative in order to estimate GCIs and GOIs only in voiced speech using simple time-domain criteria. We compare our method with well-known GCI/GOI methods, namely, the dynamic programming projected phase-slope algorithm (DYPSA), the yet another GCI/GOI algorithm (YAGA) and the speech event detection using the residual excitation and a mean-based signal (SEDREAMS). Furthermore, we examine the performance of the aforementioned methods when combined with state-of-the-art VUD algorithms, namely, the robust algorithm for pitch tracking (RAPT) and the summation of residual harmonics (SRH). Experiments conducted on the APLAWD and SAM databases show that the proposed algorithm outperforms the state-of-the-art combinations of VUD and GCI/GOI algorithms with respect to almost all evaluation criteria for clean speech. Experiments on speech contaminated with several noise types (white Gaussian, babble, and car-interior) are also presented and discussed. The proposed algorithm outperforms the state-of-the-art combinations in most evaluation criteria for signal-to-noise ratio greater than 10 dB. |
5,387 | A Randomized, Double-Blind, Prospective Study to Evaluate the Effect of Oral Pregabalin in Upper Limb Surgeries Under Brachial Plexus Block | Context The oral pregabalin administration preoperatively has been reported to reduce acute postoperative pain and prolong the duration of anesthesia produced by single-injection peripheral nerve blockade. Aim To study the effect of single dose pregabalin on duration of brachial plexus block Settings and design Prospective, randomised, double blind, comparative study Material and methods Patients were divided into two groups (groups A and B), with each group having 50 patients. In group A, the patient received a pregabalin capsule of 300 mg orally two hours before surgery with a sip of water. Group B received a placebo (vitamin B complex capsule) orally two hours before surgery. Brachial plexus block was performed, and data was collected. Statistical analysis Data analysis was done using SPSS version 21.0 statistical analysis software. Demographic data and clinical variables were compared using the student's t-test, chi-square test, and Mann-Whitney U test. Results The requirement of the first dose of analgesia was significantly earlier in group B as compared to group A (4:56±0:20 vs. 8:01±0:30 hours). Group B patients, as compared to group A patients, had significantly higher levels of pain after two hours of surgery (0.32±0.47 vs. 0.00±0.00) and at four hours of surgery (2.42±0.50 vs. 0.34±0.59). Conclusions Oral pregabalin prolongs analgesia from brachial plexus block without significant effect on the motor block. In addition, premedication with oral pregabalin increases the sensory block of brachial plexus block. |
5,388 | The Role of Landscape Art in Cultural and National Identity: Chinese and European Comparisons | The depiction of landscape in art has played a major role in the creation of cultural identities in both China and Europe. Landscape depiction has a history of over 1000 years in China, whilst in Europe its evolution has been more recent. Landscape art (shan shui) has remained a constant feature of Chinese culture and has changed little in style and purpose since the Song dynasty. In Europe, landscape depictions have been significant in the modern determination of cultural and national identities and have served to educate consumers about their country. Consideration is given here to Holland, England, Norway, Finland and China, demonstrating how landscape depictions served to support a certain definition of Chinese culture but have played little political role there, whilst in Europe landscape art has been produced in a variety of contexts, including providing support for nationalism and the determination of national identity. |
5,389 | Cone-beam reprojection using projection-matrices | This paper addresses reprojection of three-dimensional (3-D) reconstructions obtained from cone-beam scans using a C-arm imaging equipment assisted by a pose-determining system. The emphasis is on reprojecting without decomposing the estimated projection matrix (P-matrix) associated with a pose. Both voxel- and ray-driven methods are considered. The voxel-driven reprojector follows the algorithm for backprojection using a P-matrix. The ray-driven reprojector is derived by extracting from the P-matrix the equation of the line joining a detector-pixel and the X-ray source position. This reprojector can be modified to a ray-driven backprojector. When the geometry is specified explicitly in terms of the physical parameters of the imaging system, the projection matrices can be constructed. The resulting "projection-matrix method" is advantageous, especially when the scanning trajectory is irregular. The algorithms presented are useful in iterative methods of image reconstruction and enhancement procedures, apart from their well-known role in visualization and volume rendering. Reprojections of 3-D patient data compare favorably with the original X-ray projections obtained from a prototype C-arm system. The algorithms for reprojection can be modified to compute perspective maximum intensity projection. |
5,390 | Hardware-efficient color correlation-adaptive demosaicing with multifiltering | Color demosaicing is a key image processing step aiming to reconstruct the missing pixels from a recorded raw image that has a color filter array (CFA) pattern. The color correlation-based guided filters, such as minimized-Laplacian residual interpolation (MLRI), are known as the state-of-the-art demosaicing techniques. However, in the conventional guided filter-based techniques, the artifacts are generated in areas with low color correlation. Furthermore, a large number of line memories are required in the hardware implementation of a conventional guided filter-based technique because of the large effective field size. To overcome these two problems, we propose a color correlation-adaptive demosaicing algorithm that selectively applies a specific intracolor demosaicing to regions with low color correlation. We also propose an algorithm structure that reduces the effective field size in the vertical direction to reduce the number of line memories, while maintaining the image quality performance during the hardware implementation. The experimental results show that the proposed scheme can reduce the line memory to one-third while showing marginal performance degradation compared to the state-of-the-art MLRI weighted framework in terms of the color peak signal-to-noise ratio for the IMAX datasets. (C) 2019 SPIE and IS&T |
5,391 | VMD-DMD coupled data-driven approach for visual saliency in noisy images | Human visual system is endowed with an innate capability of distinguishing the salient regions of an image. It do so even in the presence of noise and other natural disturbances. Conventional8 computational saliency models in the literature assume that the input images are clean, though an explicit treatment of noise is missing. In this paper, we propose a coupled data-driven approach for estimating saliency map for a noisy input using Variational Mode Decomposition (VMD) and Dynamic Mode Decomposition(DMD. Variational Mode Decomposition (VMD) is a well received technique explored for denoising in the literature. VMD modes with high entropy (randomness) are removed and the residual modes are employed to generate a scalar valued saliency map. The proposed method is compared against seven state-of-the-art methods over a wide range of noise strengths. The submitted approach furnished comparable results with respect to state-of-the art methods for clean and noisy images in terms of various benchmark performance measures. |
5,392 | Characterization of Arachidonate 5S-Lipoxygenase from Danio rerio with High Activity for the Production of 5S- and 7S-Hydroxy Polyunsaturated Fatty Acids | A recombinant putative lipoxygenase (LOX) from Danio rerio (zebrafish), ALOX3c protein with 6-histidine tag, was purified using affinity chromatography, with a specific activity of 17.2 U mg-1 for arachidonic acid (AA). The molecular mass of the native ALOX3c was 156 kDa composed of a 78-kDa dimer by gel-filtration chromatography. The product obtained from the conversion of AA was identified as 5S-hydroxyeicosatetraenoic acid (5S-HETE) by HPLC and LC-MS/MS analyses. The specific activity and catalytic efficiency of the LOX from D. rerio for polyunsaturated fatty acids (PUFAs) followed the order AA (17.2 U mg-1, 1.96 s-1 μM-1) > docosahexaenoic acid (DHA, 13.6 U mg-1, 0.91 s-1 μM-1) > eicosapentaenoic acid (EPA, 10.5 U mg-1, 0.65 s-1 μM-1) and these values for AA were the highest among the 5S-LOXs reported to date. Based on identified products and substrate specificity, the enzyme is an AA 5S-LOX. The enzyme exhibited the maximal activity at pH 8.0 and 20 °C with 0.1 mM Zn2+ in the presence of 10 mM cysteine. Under these reaction conditions, 6.88 U mL-1 D. rerio 5S-LOX converted 1.0 mM of AA, EPA, and DHA to 0.91 mM 5S-HETE, 0.72 mM 5S-hydroxyeicosapentaenoic acid (5S-HEPE), and 0.68 mM 7S-hydroxydocosahexaenoic acid (7S-HDHA) in 25, 30, and 25 min, corresponding to molar conversion rates of 91, 72, and 68% and productivities of 2.18, 1.44, and 1.63 mM h-1, respectively. To the best of our knowledge, this study is the first to describe the bioconversion into 5S-HETE, 5S-HEPE, and 7S-HDHA for the application of biotechnological production. |
5,393 | The complete mitochondrial genome of the Pundamilia nyererei (Perciformes, Cichlidae) | Pundamilia nyererei (Perciformes, Cichlidae) is a member of Cichlid fishes that lives in the Great Lakes of East Africa. Fishes of the Cichlidae family can adapt spectacular trophic radiations and provide good potential examples of vertebrate adaptive radiations. Here, we firstly assembled the complete mitochondrial genome (mitogenome) of Pundamilia nyererei. The mitgenome was 16 761 bp in length, including 13 protein-coding genes, 22 transfer RNA genes, 2 ribosomal RNA genes and 1 putative control region. Most of these protein-coding genes started with a traditional ATG codon except for COX1, which initiated with an infrequent start codon GTG instead, and terminated with the mitochondrial stop codon (TAA/AGG/AGA) or a single T base. The mitogenome structural organization is identical to other Cichlid fish. The overall GC content is 45.25%, which is lower than the AT content. According to these new determined mitogenome sequences and 10 other species under the same family or order, we have constructed the species phylogenetic tree to verify the accuracy of newly assembled mitogenome sequences. We accept that by taking the advantage of full mitogenome, we can address taxonomic issue and study the related evolutionary events. Our current data are going to provide important resources for the research of Cichlid fishes mitochondrial evolution and energy metabolism. |
5,394 | Multi-Dimensional Flow-Preserving Compressed Sensing (MuFloCoS) for Time-Resolved Velocity-Encoded Phase Contrast MRI | 4-D time-resolved velocity-encoded phase-contrast MRI (4-D PCI) is a fully non-invasive technique to assess hemodynamics in vivo with a broad range of potential applications in multiple cardiovascular diseases. It is capable of providing quantitative flow values and anatomical information simultaneously. The long acquisition time, however, still inhibits its wider clinical use. Acceleration is achieved at present using parallel MRI (pMRI) techniques which can lead to substantial loss of image quality for higher acceleration factors. Both the high-dimensionality and the significant degree of spatio-temporal correlation in 4-D PCI render it ideally suited for recently proposed compressed sensing (CS) techniques. We propose the Multi-Dimensional Flow-preserving Compressed Sensing (MuFloCoS) method to exploit these properties. A multi-dimensional iterative reconstruction is combined with an interleaved sampling pattern (I-VT), an adaptive masked and weighted temporal regularization (TMW) and fully automatically obtained vessel-masks. The performance of the novel method was analyzed concerning image quality, feasibility of acceleration factors up to 15, quantitative flow values and diagnostic accuracy in phantom experiments and an in vivo carotid study with 18 volunteers. Comparison with iterative state-of-the-art methods revealed significant improvements using the new method, the temporal normalized root mean square error of the peak velocity was reduced by 45.32% for the novel MuFloCoS method with acceleration factor 9. The method was furthermore applied to two patient cases with diagnosed high-grade stenosis of the ICA, which confirmed the performance of MuFloCoS to produce valuable results in the presence of pathological findings in 56 s instead of over 8 min (full sampling). |
5,395 | Survey on GAN-based face hallucination with its model development | Face hallucination aims to produce a high-resolution face image from an input low-resolution face image, which is of great importance for many practical face applications, such as face recognition and face verification. Since the structure of the face image is complex and sensitive, obtaining a super-resolved face image is more difficult than generic image super-resolution. Recently, with great success in the high-level face recognition task, deep learning methods, especially generative adversarial networks (GANs), have also been applied to the low-level vision task - face hallucination. This work is to provide a model evolvement survey on GAN-based face hallucination. The principles of image resolution degradation and GAN-based learning are presented firstly. Then, a comprehensive review of the state-of-art GAN-based face hallucination methods is provided. Finally, the comparisons of these GAN-based face hallucination methods and the discussions of the related issues for future research direction are also provided. |
5,396 | Improving the performance of pedestrian detectors using convolutional learning | We present new achievements on the use of deep convolutional neural networks (CNN) in the problem of pedestrian detection (PD). In this paper, we aim to address the following questions: (i) Given non-deep state-of-the-art pedestrian detectors (e.g. ACF, LDCF), is it possible to improve their top performances?; (ii) is it possible to apply a pre-trained deep model to these detectors to boost their performances in the PD context? In this paper, we address the aforementioned questions by cascading CNN models (pre-trained on Imagenet) with state-of-the-art non-deep pedestrian detectors. Furthermore, we also show that this strategy is extensible to different segmentation maps (e.g. RGB, gradient, LUV) computed from the same pedestrian bounding box (i.e. the proposal). We demonstrate that the proposed approach is able to boost the detection performance of state-of-the-art non-deep pedestrian detectors. We apply the proposed methodology to address the pedestrian detection problem on the publicly available datasets INRIA and Caltech. (C) 2016 Elsevier Ltd. All rights reserved. |
5,397 | Application of Adaptive Resonance Theory neural networks to monitor solar hot water systems and detect existing or developing faults | Reliability is the Achilles' heel of domestic solar hot water (SHW) systems, which otherwise offer a cost-effective way of reducing energy consumption and related emissions. Using a solar hot water system reliability testbed developed for this purpose, novel neural-network-based monitoring and fault detection methods were developed. It is argued that these methods could easily be incorporated in control or supervisory software, thereby allowing rapid detection and correction of faults. This would in turn prevent further damage, and ensure continued energy savings. In particular, the Adaptive Resonance Theory (ART) class of neural networks was used to detect and classify anomalies. Compared with other network types, ART networks are fast, efficient learners and retain memory while learning new patterns. Various ART networks were trained using simulation, and tested in the field using the testbed. The results show that simulation-based training is representative of real-life operating conditions, and that faults are correctly detected in the field. Using this technology, it will be possible to improve the reliability of SHW systems with little or no additional sensing equipment compared to typical installations. (c) 2012 Elsevier Ltd. All rights reserved. |
5,398 | Protective roles of tRNA-derived small RNA tRF-Ile-AAT-019 in pathological progression of psoriasis | Psoriasis is a chronic recurrent inflammatory skin disease that is characterized by abnormal proliferation and differentiation of keratinocytes (KCs), angiogenesis and skin inflammation. Transfer RNA fragments (tRFs) are tRNA-derived small RNAs (tsRNAs), which possess regulatory functions in many diseases. Their potential roles in the pathological development of psoriasis have not been established. We first identified differentially expressed (DE) tRFs from psoriatic skin lesions using small RNA sequencing, and collected additional clinical samples for validation. Then, we investigated the function and mechanism of target tRFs in vitro. As a result of our investigation: we identified 234 DE transcripts in psoriatic skin lesions compared with normal controls. Further functional analysis showed the downregulation of tRF-Ile-AAT-019 in psoriatic lesions plays a critical role in pathogenesis since it could target 3'UTR of the serine protease serpin protein E1 (SERPINE1) gene. We next demonstrated that tRF-Ile-AAT-019 could suppress SERPINE1, thus leading to decreased expressions of vascular endothelial growth factor but increased expressions of keratinocytes (KCs) differentiation markers including Keratin1 and Involucrin. In conclusion, tRF-Ile-AAT-019 plays a protective role in the pathological progression of psoriasis via targeting SERPINE1, resulting in regulation of KCs differentiation and vascular proliferation biomarkers and providing a potential novel targeting pathway for the disease treatment. |
5,399 | 300-mm Monolithic Silicon Photonics Foundry Technology | A competitive 300-mm silicon photonics foundry technology has been developed by GLOBALFOUNDRIES for general availability, which takes advantage of advanced CMOS process technology and provides a manufacturing scale. A state-of-the-art process design kit offers a codesign environment with access to a comprehensive photonics device library along with a mono-lithically integrated SOI CMOS device library. Advances in automated wafer-level optical test enable statistical photonic device characterization for development, photonic modeling, and manufacturing controls. The key challenges and solutions in developing a manufacturable photonic technology with state-of-the-art performance are described, as well as a roadmap for next generation high-performance monolithic silicon photonics are outlined. |
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