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5,000 | High-Performance Thin-Film Transistor with Atomic Layer Deposition (ALD)-Derived Indium-Gallium Oxide Channel for Back-End-of-Line Compatible Transistor Applications: Cation Combinatorial Approach | In this paper, the feasibility of an indium-gallium oxide (In2(1-x)Ga2xOy) film through combinatorial atomic layer deposition (ALD) as an alternative channel material for back-end-of-line (BEOL) compatible transistor applications is studied. The microstructure of random polycrystalline In2Oy with a bixbyite structure was converted to the amorphous phase of In2(1-x)Ga2xOy film under thermal annealing at 400 °C when the fraction of Ga is ≥29 at. %. In contrast, the enhancement in the orientation of the (222) face and subsequent grain size was observed for the In1.60Ga0.40Oy film with the intermediate Ga fraction of 20 at. %. The suitability as a channel layer was tested on the 10-nm-thick HfO2 gate oxide where the natural length was designed to meet the requirement of short channel devices with a smaller gate length (<100 nm). The In1.60Ga0.40Oy thin-film transistors (TFTs) exhibited the high field-effect mobility (μFE) of 71.27 ± 0.98 cm2/(V s), low subthreshold gate swing (SS) of 74.4 mV/decade, threshold voltage (VTH) of -0.3 V, and ION/OFF ratio of >108, which would be applicable to the logic devices such as peripheral circuit of heterogeneous DRAM. The in-depth origin for this promising performance was discussed in detail, based on physical, optical, and chemical analysis. |
5,001 | THz Properties of Typical Woods Important for European Forestry | Terahertz (THz) properties of seventeen types of wood typically growing within the European area are investigated. The samples include both coniferous and deciduous timbers. The determined properties can be useful for further THz studies on samples consisting completely or partially of wood, for example, art objects. Especially in the field of art conservation, THz spectroscopy is an excellent non-destructive evaluation method, which shows considerable analysis potential. |
5,002 | Predictability of Music Descriptor Time Series and its Application to Cover Song Detection | Intuitively, music has both predictable and unpredictable components. In this paper, we assess this qualitative statement in a quantitative way using common time series models fitted to state-of-the-art music descriptors. These descriptors cover different musical facets and are extracted from a large collection of real audio recordings comprising a variety of musical genres. Our findings show that music descriptor time series exhibit a certain predictability not only for short time intervals, but also for mid-term and relatively long intervals. This fact is observed independently of the descriptor, musical facet and time series model we consider. Moreover, we show that our findings are not only of theoretical relevance but can also have practical impact. To this end we demonstrate that music predictability at relatively long time intervals can be exploited in a real-world application, namely the automatic identification of cover songs (i.e., different renditions or versions of the same musical piece). Importantly, this prediction strategy yields a parameter-free approach for cover song identification that is substantially faster, allows for reduced computational storage and still maintains highly competitive accuracies when compared to state-of-the-art systems. |
5,003 | Intravenous immunoglobulin therapy in children with severe atopic dermatitis | Children with severe atopic dermatitis (AD) can benefit from intravenous immunoglobulin (IVIG) therapy. This study aimed to identify the efficacy and safety of IVIG therapy in children with severe AD. Twenty pediatric AD patients were enrolled in this study. Patients with an Investigator's Global Assessment score of 0 or 1 or a reduction of 2 points after treatment were defined as high-responders (HRs), otherwise, they were defined as low-responders (LRs). Twelve patients (60%) achieved an excellent treatment response after 2 months, while eight (40%) had a low response. The Scoring Atopic Dermatitis index had improved significantly at 2 months post-treatment compared with baseline (p < 0.001). Baseline total serum IgE levels and eosinophil counts were elevated in all subjects and decreased significantly at 2 months post-treatment (p = 0.004 and 0.021, respectively). Baseline IgE levels were significantly higher in the HR group compared with the LR group (p = 0.020). The treatment was well tolerated. Fever was the most common adverse event and occurred in five patients (25%). In conclusion, IVIG could be a safe and effective therapy for children with severe AD and may be more effective in patients with higher IgE levels. Further studies are needed to investigate the different therapeutic responses in patients with different AD phenotypes. |
5,004 | A 3D Tubular Flux Model for Centerline Extraction in Neuron Volumetric Images | Digital morphology reconstruction from neuron volumetric images is essential for computational neuroscience. The centerline of the axonal and dendritic tree provides an effective shape representation and serves as a basis for further neuron reconstruction. However, it is still a challenge to directly extract the accurate centerline from the complex neuron structure with poor image quality. In this paper, we propose a neuron centerline extraction method based on a 3D tubular flux model via a two-stage CNN framework. In the first stage, a 3D CNN is used to learn the latent neuron structure features, namely flux features, from neuron images. In the second stage, a light-weight U-Net takes the learned flux features as input to extract the centerline with a spatial weighted average strategy to constrain the multi-voxel width response. Specifically, the labels of flux features in the first stage are generated by the 3D tubular model which calculates the geometric representations of the flux between each voxel in the tubular region and the nearest point on the centerline ground truth. Compared with self-learned features by networks, flux features, as a kind of prior knowledge, explicitly take advantage of the contextual distance and direction distribution information around the centerline, which is beneficial for the precise centerline extraction. Experiments on two challenging datasets demonstrate that the proposed method outperforms other state-of-the-art methods by 18% and 35.1% in F1-measurement and average distance scores at the most, and the extracted centerline is helpful to improve the neuron reconstruction performance. |
5,005 | Convolutional neural network with joint stepwise character/word modeling based system for scene text recognition | Text recognition in the wild is a challenging task in the field of computer vision and machine learning. Existing optical character recognition engines cannot perform well in the natural scene. In this context, deep learning models have emerged as a powerful state-of-the-art technique in the classification and recognition process. This study proposes a new Convolutional Neural Network based system for scene text reading. We investigate how to combine the character recognition module followed by the word recognition module to achieve the overall system goal. The first module analyzes characters within multi-scale images by relaying on the power of the convolutional network and the fully connected network for character recognition. The second module relies on the Viterbi search to find the closest word to a given characters sequence. For the sake of more precision, a bigram based linguistic module is applied. The proposed system achieves the state-of-the-art performance on three standard scene text recognition benchmarks: chars74k, ICDAR 2003 and ICDAR 2013. In particular, this performance is proven on both of character and word recognition accuracy as well as speed aspects via a comparative study between different deep learning architectures. |
5,006 | The Demographic Data and Prevalence of Thromboembolic Events Among Inflammatory Bowel Disease Patients in Buraydah, Al-Qassim Region | Introduction Inflammatory bowel diseases (IBD) (Crohn's disease (CD) and ulcerative colitis (UC)) are considered among the commonest gastrointestinal (GI) tract diseases manifesting with chronic, recurring episodes of gut inflammation, especially in the colon. Each disease has its pattern, symptoms, severity of pain, extension, management, and prognosis. However, these diseases share most of the various complications, including the GI tract and extending it to other systems such as musculoskeletal, skin, liver, and pulmonary systems. Objectives We aim to identify the demographic data, prevalence, risk factors, clinical presentation, and management (medications given and investigations ordered) of thromboembolic events (TEE) among inflammatory bowel disease patients at King Fahad Specialist Hospital (KFSH) in Buraydah, Al-Qassim, Saudi Arabia. Materials and methods This is a retrospective, cross-sectional study. All included patients with IBD who meet the inclusion criteria between January 2020 and January 2022 in KFSH were reviewed, and data were analyzed using the Statistical Package for the Social Sciences (SPSS) Statistics version 23.0 (IBM Corp., Armonk, NY, USA). Results A total of 187 participants were included in the current study. The mean age of the participants ± standard deviation (SD) was 28.7 ± 10.8 years old. Of the participants, 107 (57.2%) were males. A total of 121 (64.7%) participants were diagnosed with Crohn's disease (CD), 56 (29.9%) with ulcerative colitis (UC), and 10 (5.3%) with both CD and UC. In 156 (83%) participants, the duration of the disease was 1-5 years. Among the IBD patients, two (1.1%) had TEE in the interval resolution middle and left portal vein, as well as the inferior mesenteric vein. The majority of the participants (73.3%) were with no history of comorbid conditions. The most reported clinical symptoms were chest pain as reported by 3.2% of the participants. Abdominal computed tomography (CT) was the most reported method of diagnosis as reported by 35.8% of the participants. Of the participants, 8.6% used heparin prophylactically, 0.5% used heparin as a treatment, and 0.5% used enoxaparin as a treatment. Moreover, 20.3% of the participants used prophylactic treatment, whereas about 79.7% did not use prophylactic treatment. Old age, extensive disease, colorectal surgery, and pregnancy were not found to be associated with thromboembolic events (p = 1.000, 0.400, 0.164, and 0.053, respectively). Age, gender, and nationality were not significantly associated with thromboembolic events (p = 0.915, 1.000, and 1.000, respectively). Conclusion Despite IBD being one of the emerging health concerns in the Kingdom of Saudi Arabia, records showed that the prevalence of thromboembolic events was found to be lower when compared to the prevalence reported in the relevant multinational studies. The was no difference in factors affecting the development of thromboembolic events between IBD patients and the general population. Recommendations We should stress raising awareness of IBD patients about their condition, the increased risks of developing thromboembolic events, and the proper prevention methods. |
5,007 | Low-Dose CBCT Reconstruction Using Hessian Schatten Penalties | Cone-beam computed tomography (CBCT) has been widely used in radiation therapy. For accurate patient setup and treatment target localization, it is important to obtain high-quality reconstruction images. The total variation (TV) penalty has shown the state-of-the-art performance in suppressing noise and preserving edges for statistical iterative image reconstruction, but it sometimes leads to the so-called staircase effect. In this paper, we proposed to use a new family of penalties-the Hessian Schatten (HS) penalties-for the CBCT reconstruction. Consisting of the second-order derivatives, the HS penalties are able to reflect the smooth intensity transitions of the underlying image without introducing the staircase effect. We discussed and compared the behaviors of several convex HS penalties with orders 1, 2, and +infinity for CBCT reconstruction. We used the majorization-minimization approach with a primal-dual formulation for the corresponding optimization problem. Experiments on two digital phantoms and two physical phantoms demonstrated the proposed penalty family's outstanding performance over TV in suppressing the staircase effect, and the HS penalty with order 1 had the best performance among the HS penalties tested. |
5,008 | Retinal Microaneurysm Detection Through Local Rotating Cross-Section Profile Analysis | A method for the automatic detection of microaneurysms (MAs) in color retinal images is proposed in this paper. The recognition of MAs is an essential step in the diagnosis and grading of diabetic retinopathy. The proposed method realizes MA detection through the analysis of directional cross-section profiles centered on the local maximum pixels of the preprocessed image. Peak detection is applied on each profile, and a set of attributes regarding the size, height, and shape of the peak are calculated subsequently. The statistical measures of these attribute values as the orientation of the cross-section changes constitute the feature set that is used in a naive Bayes classification to exclude spurious candidates. We give a formula for the final score of the remaining candidates, which can be thresholded further for a binary output. The proposed method has been tested in the Retinopathy Online Challenge, where it proved to be competitive with the state-of-the-art approaches. We also present the experimental results for a private image set using the same classifier setup. |
5,009 | A Novel Single-Step Approach for Self-Coherent Tomography Using Semidefinite Relaxation | This letter presents a novel single-step approach for self-coherent tomography using semidefinite relaxation. Phase retrieval for scattered fields is not required. The general solver can be used to solve the corresponding convex optimization problem and image the target. Both man-made and experimental data is exploited to demonstrate the performance of the proposed approach. The imaging results illustrate the benefit of bringing the state-of-the-art mathematics to inverse scattering or diffraction tomography. |
5,010 | Sound Event Detection Using Multiple Optimized Kernels | Sound event detection (SED) has been widely applied in real world applications. Convolutional recurrent neural network based SED approaches have achieved state-of-the-art performance. However, the convolution process is typically performed by using a fixed sized kernel, which adversely affects the detection accuracy especially when the acoustic features of different event classes are characterized by high variations. To deal with this, this article proposes a sound event detection technique using a convolutional recurrent neural network framework with multiple convolutional kernels of different sizes. The top performing kernels are selected from a kernel pool based on the unsupervised clustering errors and the accuracies of the temporarily trained models. Afterwards, the selected kernels are fed to multiple convolution layers to deal with the acoustic feature variations. Experimental results on different subsets of AudioSet, namely the DCASE Challenge 2017 Task 4 and DCASE Challenge 2018 Task 4, demonstrate the performance of the proposed approach compared to state-of-the-art systems. |
5,011 | A 210 GHz dual-gate FET mixer MMIC with > 2 dB conversion gain, high LO-to-RF isolation, and low LO-drive requirements | We demonstrate the first active mixer monolithic microwave integrated circuit (MMIC) with Positive conversion gain beyond 200 GHz. The presented dual-gate topology is realized in a 100 nm gate length metamorphic high electron mobility transistor technology. Without any pre- or post-amplification, the down-conversion mixer achieves >2 dB conversion gain and >16 dB local oscillation to radio frequency (LO-to-RF) isolation at 210 GHz, outperforming state-of-the-art resistive MMIC mixers. The conversion gain becomes positive for LO power levels larger than 0 dBm, making the mixer suitable for being driven by an MMIC-based frequency doubler. A comparison to state-of-the-art G-band mixers is given. |
5,012 | Histone deacetylase inhibitors as antidiabetic agents: Advances and opportunities | The loss of function or dysfunction of β-cells in the pancreas, attributed to the development of diabetes, involve alterations in genetic and epigenetic signatures. Recent evidences highlight the pathophysiological role of histone deacetylases (HDACs) in type 1 and type 2 diabetes. Indeed, most HDAC members have been linked to critical pathogenic events in diabetes, including redox imbalance, endoplasmic reticulum (ER) homeostasis perturbation, onset of oxidative stress and inflammation, which ultimately deteriorate β-cell function. Accumulating evidence highlights the inhibition of HDACs as a prospective therapeutic strategy. Several chemically synthesized small molecules have been investigated for their specific ability to inhibit HDACs (reffered as HDAC inibitors) in various experimental studies. This review provides insights into the critical pathways involved in regulating different classes of HDACs. Further, the intricate signaling networks between HDACs and the stress mediators in diabetes are also explored. We exhaustively sum up the inferences from various investigations on the efficiency of HDAC inhibitors in managing diabetes and its associated complications. |
5,013 | Genome-wide identification, characterization, and expression analysis of UDP-glycosyltransferase genes associated with secondary metabolism in alfalfa ( Medicago sativa L.) | Uridine diphosphate glycosyltransferases (UGTs) are enzymes that catalyze glycosylation modifications and play an essential role in regulating plant metabolism. Alfalfa (Medicago sativa L.) is the most important legume in the world due to its high yields and protein content; however, the UGT genes in alfalfa have not yet been studied. Identifying UGT genes with metabolic roles in alfalfa is essential for identifying and modifying genetic traits that are relevant to yield and quality. In this study, 90 of the 239 UGT genes identified from the alfalfa "Zhongmu No. 1" genome database were found to be related to secondary metabolism, and a series of gene family characterization analyses were conducted on each. The results demonstrated that all 90 UGT genes were unevenly distributed on eight chromosomes with few introns and that tandem duplications were the crucial driving force expanding the UGT family in alfalfa. Notably, the 90 UGT genes can be clustered into ten evolutionary groups which contain specific PSPG motifs, and genes in these ten groups have specific tissue expressions. This suggests that the UGT genes in each group could have similar glycosylation roles corresponding to analogous secondary metabolites in alfalfa. Additionally, multiple cis-acting elements found in MsUGT promoter regions, such as phytohormone and flavonoids, indicate that 90 UGT members could be induced by these features, which are also related to secondary metabolism. Therefore, our study identified 90 UGT members inten evolutionary groups that are likely related to glycosylation modifications with secondary metabolites in alfalfa. These findings help uncover pivotal regulatory mechanisms associated with secondary metabolism in plant yield and quality and contribute to genetic modification and breeding in alfalfa and other plant species. |
5,014 | Metabolic labeling of cardiomyocyte-derived small extracellular-vesicle (sEV) miRNAs identifies miR-208a in cardiac regulation of lung gene expression | Toxoplasma gondii uracil phosphoribosyltransferase (UPRT) converts 4-thiouracil (4TUc) into 4-thiouridine (4TUd), which is incorporated into nascent RNAs and can be biotinylated, then labelled with streptavidin conjugates or isolated via streptavidin-affinity methods. Here, we generated mice that expressed T. gondii UPRT only in cardiomyocytes (CM UPRT mice) and tested our hypothesis that CM-derived miRNAs (CM miRs) are transferred into remote organs after myocardial infarction (MI) by small extracellular vesicles (sEV) that are released from the heart into the peripheral blood (PB sEV). We found that 4TUd was incorporated with high specificity and sensitivity into RNAs isolated from the hearts and PB sEV of CM UPRT mice 6 h after 4TUc injection. In PB sEV, 4TUd was incorporated into CM-specific/enriched miRs including miR-208a, but not into miRs with other organ or tissue-type specificities. 4TUd-labelled miR208a was also present in lung tissues, especially lung endothelial cells (ECs), and CM-derived miR-208a (CM miR-208a) levels peaked 12 h after experimentally induced MI in PB sEV and 24 h after MI in the lung. Notably, miR-208a is expressed from intron 29 of α myosin heavy chain (αMHC), but αMHC transcripts were nearly undetectable in the lung. When PB sEV from mice that underwent MI (MI-PB sEV) or sham surgery (Sham-PB sEV) were injected into intact mice, the expression of Tmbim6 and NLK, which are suppressed by miR-208a and cooperatively regulate inflammation via the NF-κB pathway, was lower in the lungs of MI-PB sEV-treated animals than the lungs of animals treated with Sham-PB sEV or saline. In MI mice, Tmbim6 and NLK were downregulated, whereas endothelial adhesion molecules and pro-inflammatory cells were upregulated in the lung; these changes were significantly attenuated when the mice were treated with miR-208a antagomirs prior to MI surgery. Thus, CM UPRT mice enables us to track PB sEV-mediated transport of CM miRs and identify an miR-208a-mediated mechanism by which myocardial injury alters the expression of genes and inflammatory response in the lung. |
5,015 | Correlation-aware adversarial domain adaptation and generalization | Domain adaptation (DA) and domain generalization (DG) have emerged as a solution to the domain shift problem where the distribution of the source and target data is different. The task of DG is more challenging than DA as the target data is totally unseen during the training phase in DG scenarios. The current state-of-the-art employs adversarial techniques, however, these are rarely considered for the DG problem. Furthermore, these approaches do not consider correlation alignment which has been proven highly beneficial for minimizing domain discrepancy. In this paper, we propose a correlation-aware adversarial DA and DG framework where the features of the source and target data are minimized using correlation alignment along with adversarial learning. Incorporating the correlation alignment module along with adversarial learning helps to achieve a more domain agnostic model due to the improved ability to reduce domain discrepancy with unlabeled target data more effectively. Experiments on benchmark datasets serve as evidence that our proposed method yields improved state-of-the-art performance. (C) 2019 Elsevier Ltd. All rights reserved. |
5,016 | An Autoregressive Doppler Spread Estimator for Fading Channels | Doppler spread causes a significant performance degradation in fast-fading mobile communication systems. This paper proposes a novel Doppler estimation scheme that uses a damped sinusoid to approximate the autocorrelation of the fading channel. Subsequently, an Autoregressive (AR) model is used for the damped sinusoid and the parameters of the model are related to the Doppler value. The superiority of the proposed estimation method over existing state-of-the-art methods is demonstrated using numerical simulations. The proposed scheme is promising in vehicular communication systems. |
5,017 | A Robust Edge-Preserving Stereo Matching Method for Laparoscopic Images | Stereo matching has become an active area of research in the field of computer vision. In minimally invasive surgery, stereo matching provides depth information to surgeons, with the potential to increase the safety of surgical procedures, particularly those performed laparoscopically. Many stereo matching methods have been reported to perform well for natural images, but for images acquired during a laparoscopic procedure, they are limited by image characteristics including illumination differences, weak texture content, specular highlights, and occlusions. To overcome these limitations, we propose a robust edge-preserving stereo matching method for laparoscopic images, comprising an efficient sparse-dense feature matching step, left and right image illumination equalization, and refined disparity optimization. We validated the proposed method using both benchmark biological phantoms and surgical stereoscopic data. Experimental results illustrated that, in the presence of heavy illumination differences between image pairs, texture and textureless surfaces, specular highlights and occlusions, our proposed approach consistently obtains a more accurate estimate of the disparity map than state-of-the-art stereo matching methods in terms of robustness and boundary preservation. |
5,018 | IGF-1 Regulates Vertebral Bone Aging Through Sex-Specific and Time-Dependent Mechanisms | Advanced aging is associated with increased risk of bone fracture, especially within the vertebrae, which exhibit significant reductions in trabecular bone structure. Aging is also associated with a reduction in circulating levels of insulin-like growth factor (IGF-1). Studies have suggested that the reduction in IGF-1 compromises healthspan, whereas others report that loss of IGF-1 is beneficial because it increases healthspan and lifespan. To date, the effect of decreases in circulating IGF-1 on vertebral bone aging has not been thoroughly investigated. Here, we delineate the consequences of a loss of circulating IGF-1 on vertebral bone aging in male and female Igf(f/f) mice. IGF-1 was reduced at multiple specific time points during the mouse lifespan: early in postnatal development (crossing albumin-cyclic recombinase [Cre] mice with Igf(f/f) mice); and in early adulthood and in late adulthood using hepatic-specific viral vectors (AAV8-TBG-Cre). Vertebrae bone structure was analyzed at 27 months of age using micro-computed tomography (μCT) and quantitative bone histomorphometry. Consistent with previous studies, both male and female mice exhibited age-related reductions in vertebral bone structure. In male mice, reduction of circulating IGF-1 induced at any age did not diminish vertebral bone loss. Interestingly, early-life loss of IGF-1 in females resulted in a 67% increase in vertebral bone volume fraction, as well as increased connectivity density and increased trabecular number. The maintenance of bone structure in the early-life IGF-1-deficient females was associated with increased osteoblast surface and an increased ratio of osteoprotegerin/receptor-activator of NF-κB-ligand (RANKL) levels in circulation. Within 3 months of a loss of IGF-1, there was a 2.2-fold increase in insulin receptor expression within the vertebral bones of our female mice, suggesting that local signaling may compensate for the loss of circulating IGF-1. Together, these data suggest the age-related loss of vertebral bone density in females can be reduced by modifying circulating IGF-1 levels early in life. |
5,019 | The Use of Psychedelics in the Treatment of Medical Conditions: An Analysis of Currently Registered Psychedelics Studies in the American Drug Trial Registry | Although early therapeutic research on psychedelics dates back to the 1940s, this field of investigation was met with many cultural and legal challenges in the 1970s. Over the past two decades, clinical trials using psychedelics have resumed. Therefore, the goal of this study was to (1) better characterize the recent uptrend in psychedelics in clinical trials and (2) identify areas where potentially new clinical trials could be initiated to help in the treatment of widely prevalent medical disorders. A systematic search was conducted on the clinicaltrials.gov database for all registered clinical trials examining the use of psychedelic drugs and was both qualitatively and quantitatively assessed. Analysis of recent studies registered in clinicaltrials.gov was performed using Pearson's correlation coefficient testing. Statistical analysis and visualization were performed using R software. In totality, 105 clinical trials met this study's inclusion criteria. The recent uptrend in registered clinical trials studying psychedelics (p = 0.002) was similar to the uptrend in total registered clinical trials in the registry (p < 0.001). All trials took place from 2007 to 2020, with 77.1% of studies starting in 2017 or later. A majority of clinical trials were in phase 1 (53.3%) or phase 2 (25.7%). Common disorders treated include substance addiction, post-traumatic stress disorder, and major depressive disorder. Potential research gaps include studying psychedelics as a potential option for symptomatic treatment during opioid tapering. There appears to be a recent uptrend in registered clinical trials studying psychedelics, which is similar to the recent increase in overall trials registered. Potentially, more studies could be performed to evaluate the potential of psychedelics for symptomatic treatment during opioid tapering and depression refractory to selective serotonin reuptake inhibitors. |
5,020 | A Coherence-Based Algorithm for Optimizing Rank-1 Grassmannian Codebooks | Aniterative algorithm for the numerical optimization of rank-1 Grassmannian codebooks is presented. This algorithm achieves the same results as the current state-of-the-art algorithm, but requires a median of 9.52 times less computation time. This improvement is achieved by reformulating the optimization problem to directly minimize coherence instead of maximizing the Euclidean distance between codewords, thereby removing the need to consider large numbers of complex antipodals. The runtime improvement achieved allows the optimization of the larger codebooks required in many applications. |
5,021 | PLADE: A Plane-Based Descriptor for Point Cloud Registration With Small Overlap | Traditional point cloud registration methods require large overlap between scans, which imposes strict constraints on data acquisition. To facilitate registration, users have to carefully position scanners to ensure sufficient overlap. In this article, we propose to use high-level structural information (i.e., plane/line features and their interrelationship) for registration, which is capable of registering point clouds with small overlap, allowing more freedom in data acquisition. We design a novel plane-/line-based descriptor dedicated to establishing structure-level correspondences between point clouds. Based on this descriptor, we propose a simple but effective registration algorithm. We also provide a data set of real-world scenes containing a larger number of scans with a wide range of overlap. Experiments and comparisons with state-of-the-art methods on various data sets reveal that our method is superior to existing techniques. Though the proposed algorithm outperforms state-of-the-art methods on the most challenging data set, the point cloud registration problem is still far from being solved, leaving significant room for improvement and future work. |
5,022 | Congenital Pseudarthrosis of the Clavicle: A Case Report and a Hypothesis for the Right-Side Predominance | Congenital pseudarthrosis of the clavicle (CPC) is rare. It predominantly affects the right side for an unknown reason. Most of the reported cases are diagnosed outside the neonatal period. Only two CPC cases have been reported in Saudi Arabia, where both were diagnosed during childhood. Here, we present the case of a Saudi male newborn with right-sided CPC. The diagnosis was made shortly after birth because of the uneventful cesarean delivery and painless clavicular lump. Fetuses prefer keeping their head in a right lateral position which may be a plausible explanation for the right-side predominancy in the CPC. |
5,023 | Modeling Techniques and Control Strategies for Jack-Up Rig: A State of the Art and Challenges | In recent years, for many offshore projects, including offshore oil and gas exploration and offshore wind farm construction, it is necessary to control the position of elevating of Jack-up Rig (JuR) in stable and balanced control. Designing the elevating control systems of JuR is an upcoming technology, which is extensively used in offshore drilling and other marine structures. To maintain the position of platforms from displacement, the jacking system is used automatically to control and stabilize the position of the JuR in sea state disturbances. In recent years, the theory of modern control has been studied and developed in terms of robustness and stability to achieve greater accuracy and reduce the movement of the platform caused by environmental disturbance and other affecting factors. This paper presents a state-of-the-art review of approaches for JuR control strategies and architectures. In addition, it recommends possible control principles and makes a matching between the advantages and disadvantages of existing literature. Some details for future research on control challenges are discussed in this paper. |
5,024 | Age Synthesis and Estimation via Faces: A Survey | Human age, as an important personal trait, can be directly inferred by distinct patterns emerging from the facial appearance. Derived from rapid advances in computer graphics and machine vision, computer-based age synthesis and estimation via faces have become particularly prevalent topics recently because of their explosively emerging real-world applications, such as forensic art, electronic customer relationship management, security control and surveillance monitoring, biometrics, entertainment, and cosmetology. Age synthesis is defined to rerender a face image aesthetically with natural aging and rejuvenating effects on the individual face. Age estimation is defined to label a face image automatically with the exact age (year) or the age group (year range) of the individual face. Because of their particularity and complexity, both problems are attractive yet challenging to computer-based application system designers. Large efforts from both academia and industry have been devoted in the last a few decades. In this paper, we survey the complete state-of-the-art techniques in the face image-based age synthesis and estimation topics. Existing models, popular algorithms, system performances, technical difficulties, popular face aging databases, evaluation protocols, and promising future directions are also provided with systematic discussions. |
5,025 | Self-Defensive Antimicrobial Surfaces Using Polymyxin-Loaded Poly(styrene sulfonate) Microgels | Self-defensive antimicrobial surfaces are of interest because they can inhibit bacterial colonization while minimizing unnecessary antimicrobial release in the absence of a bacterial challenge. One self-defensive approach uses self-assembly to first deposit a submonolayer coating of polyelectrolyte microgels and subsequently load those microgels by complexation with small-molecule antimicrobials. The microgel/antimicrobial complexation strength is a key parameter that controls the ability of the antimicrobial both to remain sequestered within the microgels when exposed to medium and to release in response to a bacterial challenge. Here we study the relative complexation strengths of two FDA-approved cationic antibiotics─colistin (polymyxin E) and polymyxin B─with microgels of poly(styrene sulfonate) (PSS). These polymyxins are similar cyclic polypeptides with +5 charge at pH 7.4. However, polymyxin B substitutes an aromatic ring for a dimethyl moiety in colistin, and this aromaticity can influence complexation via π and hydrophobic interactions. Coarse-grained molecular dynamics shows that the free-energy change associated with polymyxin B/PSS complexation is more negative than that of colistin/PSS complexation. Experimentally, in situ optical microscopy of microgel deswelling shows that both antibiotics load quickly from low-ionic-strength phosphate buffer. The enhanced polymyxin B/PSS complexation strength is then manifested by subsequent exposure to flowing antibiotic-free buffer with varying NaCl concentration. Microgels loaded with polymyxin B remain stably deswollen to higher salt concentrations than do colistin/PSS microgels. Importantly, exposing loaded microgels to E. coli in nutrient-free-flowing phosphate buffer shows that bacteria are killed by physical contact with the loaded microgels consistent with the contact-transfer mechanism of self-defensiveness. In vitro culture experiments show that these same surfaces, nevertheless, support the adhesion, spreading and proliferation of human fetal osteoblasts. These findings suggest a pathway to create a self-defensive antimicrobial surface effective under physiological conditions based on the nonmetabolic bacteria-triggered release of FDA-approved antibiotics. |
5,026 | Spatial Regulation Control of Oxygen Metabolic Consumption in Mouse Brain | The mammalian brain relies on significant oxygen metabolic consumption to fulfill energy supply, brain function, and neural activity. In this study, in vivo electrochemistry is combined with physiological and ethological analyses to explore oxygen metabolic consumption in an area of the mouse brain that includes parts of the primary somatosensory cortex, primary motor cortex, hippocampus, and striatum. The oxygen levels at different locations of this boundary section are spatially resolved by measuring the electrical current in vivo using ingeniously designed anti-biofouling carbon fiber microelectrodes. The characteristics of the current signals are further interpreted by simultaneously recording the physiological responses of the mice. Additionally, ethological tests are performed to validate the correlation between oxygen levels and mouse behavior. It is found that high-dose caffeine injection can evoke spatial variability in oxygen metabolic consumption between the four neighboring brain regions. It is proposed that the oxygen metabolic consumption in different brain regions is not independent of each other but is subject to spatial regulation control following the rules of "rank of brain region" and "relative distance." Furthermore, as revealed by in vivo wireless electrochemistry and ethological analysis, mice are at risk of neuronal damage from long-term intake of high-dose caffeine. |
5,027 | The soundscapes of Baja California Sur: Preliminary results from the Canon de Santa Teresa rock art landscape | This article argues that the recent emphasis on quantitative methods should also include the application of rigorous science-based methodologies for the study of sound and acoustics among past communities. The benefits of including methods developed in acoustical physics have been shown with the analysis of the rock art landscape in the Canon de Santa Teresa gorge in Baja California Sur (Mexico), where the Great Mural rock art tradition was produced. Thanks to a thorough examination of a series of monaural and binaural acoustic parameters, we have been able to conclude that the artists selected the best sonic landscapes in which to create their rock art, both paintings and carvings, especially the latter. We have also been able to demonstrate that the sector of the canyon with a special concentration of two profusely painted caves, Cueva Pintada and Las Flechas, is precisely that with the most favorable acoustic conditions in the whole tested area. |
5,028 | Generative-Discriminative Basis Learning for Medical Imaging | This paper presents a novel dimensionality reduction method for classification in medical imaging. The goal is to transform very high-dimensional input (typically, millions of voxels) to a low-dimensional representation (small number of constructed features) that preserves discriminative signal and is clinically interpretable. We formulate the task as a constrained optimization problem that combines generative and discriminative objectives and show how to extend it to the semi-supervised learning (SSL) setting. We propose a novel large-scale algorithm to solve the resulting optimization problem. In the fully supervised case, we demonstrate accuracy rates that are better than or comparable to state-of-the-art algorithms on several datasets while producing a representation of the group difference that is consistent with prior clinical reports. Effectiveness of the proposed algorithm for SSL is evaluated with both benchmark and medical imaging datasets. In the benchmark datasets, the results are better than or comparable to the state-of-the-art methods for SSL. For evaluation of the SSL setting in medical datasets, we use images of subjects with mild cognitive impairment (MCI), which is believed to be a precursor to Alzheimer's disease (AD), as unlabeled data. AD subjects and normal control (NC) subjects are used as labeled data, and we try to predict conversion from MCI to AD on follow-up. The semi-supervised extension of this method not only improves the generalization accuracy for the labeled data (AD/NC) slightly but is also able to predict subjects which are likely to converge to AD. |
5,029 | Engineering a thermostable biosensor based on biomimetic mineralization HRP@Fe-MOF for Alzheimer's disease | The development of disease detection by biosensors represents one of the key components of medical science. However, millions of people are still misdiagnosed each year due to the poor efficacy and thermal instability of biosensors. Using horseradish peroxidase (HRP) as a paradigm, we offer a rational design strategy to optimize the thermostability and activity of biosensors by biomimetic mineralization. To overcome the weak thermostability of the biosensor, the mineralization of Fe-MOF forms an armor on HRP that protects against high temperature. Additionally, the biomimetic mineralization HRP@Fe-MOF can double-catalyze the TMB/H2O2 chromogenic system for color development. The biosensor can also be recycled through simple heat treatment due to the thermally stable aptamer and biomimetic mineralization HRP@Fe-MOF. The optical biosensor based on this sensitive spectral transformation was successfully developed for the measurement of AβO with an outstanding linear range (0.0001-10 nM) and a low limit of detection (LOD) of 0.03 pM. This promising platform will open up new avenues for the detection of AβO in the early diagnosis of Alzheimer's disease (AD). |
5,030 | Preparation and properties of nano silica-based bioactive glass/apatite/sodium alginate composite hydrogel | In this paper, given the lack of osteogenic activity of sodium alginate (SA) hydrogel and to simulate the composition of natural bone, ionic-crosslinking NBG/n-HA/SA hydrogel scaffolds were prepared by using nano bioactive glass (NBG) and nano hydroxyapatite (n-HA) with high bioactivity as composite calcium sources and reinforcement phases, and D-gluconic acid δ-lactone (GDL) as the coagulant. The results showed that the mixture of the precursor forming the network had good injectability and plasticity. When the dosage of GDL was 0.75 g, the gelling time of the composite hydrogel could be regulated within 4-8 min, and the hydrogel had high compressive strength (170-220 kPa), as well. When the mass ratio of calcium source to SA was 1:1, the crosslinking network was relatively uniform with a considerable number of large pores around 40 μm in the structure. In the immersion experiment in vitro, it was found that the composite hydrogel could promote the deposition of bone-like apatite on the material's surface. Meanwhile, the cell experiments in vitro verified that the NBG/n-HA/SA composite hydrogel had good cytocompatibility without cytotoxicity. Moreover, the composite hydrogel could enhance the activity of ALP of mouse bone marrow mesenchymal stem cells, and thus, it had good osteogenic activity. |
5,031 | Sustainable operation of membrane distillation for hypersaline applications: Roles of brine salinity, membrane permeability and hydrodynamics | This study aims to explore the role of brine salinity in achieving sustainable operation of membrane distillation (MD), particularly in hypersaline applications where highly concentrated or saturated solutions are treated. Given the state-of-the-art MD modeling work mainly focused on the mass and heat transfer phenomena for dilute systems, our simulation work predicts the trends of permeation flux in direct contact MD (DCMD) with elevated feed concentrations up to saturation, by a newly-developed exponential decay function. Also, a semi-empirical equation of the solute transport coefficient Sherwood number (Sh) is derived as Sh = (alpha(1)omega(F) + alpha(2)) Re-beta Sc-0.33, which for the first time incorporates the influence of feed concentration into the concentration polarization calculation in MD. Numerical analysis on the supersaturation ratio, concentration factor and concentration polarization effect showed that low to modest membrane permeability, reasonably high feed temperature and modest hydrodynamics (500 < Re < 2000) may help to prevent supersaturation and potentially reduce membrane scaling in hypersaline applications. |
5,032 | Advanced Ferromagnetic Materials in Power Electronic Converters: A State of the Art | Currently, the design of power electronic converters (PECs) is in a stage which looks increasing its efficiency and reducing its dimensions from basic topologies through precise analysis of losses in each device that conforms. Although there have been important advances to improve the active components of PECs, passive components, particularly inductors, have changed very little since several decades ago, and those begin a limiting factor, when a high efficiency at very high power and switching frequency, are required. It is for the foregoing that this paper reviews new ferromagnetic materials to construct inductors and achieve a substantial increasing in efficiency through magnetic permeability and hysteresis improvements. Therefore, the main objective of this work is to position the reader in the state of the art of advanced ferromagnetic materials used in PECs. Details about how they are constructed and qualitative comparison of their dynamic behavior are provided. Also, estimation methods of energy losses, applications for different types of material, and its influence on the performance of some basic PECs are presented. |
5,033 | Aberrant mesolimbic dopamine-opiate interaction in obesity | Dopamine and opioid neurotransmitter systems share many functions such as regulation of reward and pleasure. μ-Opioid receptors (MOR) modulate the mesolimbic dopamine system in ventral tegmental area and striatum, key areas implicated in reward. We hypothesized that dopamine and opioid receptor availabilities correlate in vivo and that this correlation is altered in obesity, a disease with altered reward processing. Twenty lean females (mean BMI 22) and 25 non-binge eating morbidly obese females (mean BMI 41) underwent two positron emission tomography scans with [(11)C]carfentanil and [(11)C]raclopride to measure the MOR and dopamine D2 receptor (DRD2) availability, respectively. In lean subjects, the MOR and DRD2 availabilities were positively associated in the ventral striatum (r=0.62, p=0.003) and dorsal caudate nucleus (r=0.62, p=0.004). Moreover, DRD2 availability in the ventral striatum was associated with MOR availability in other regions of the reward circuitry, particularly in the ventral tegmental area. In morbidly obese subjects, this receptor interaction was significantly weaker in ventral striatum but unaltered in the caudate nucleus. Finally, the association between DRD2 availability in the ventral striatum and MOR availability in the ventral tegmental area was abolished in the morbidly obese. The study demonstrates a link between DRD2 and MOR availabilities in living human brain. This interaction is selectively disrupted in mesolimbic dopamine system in morbid obesity. We propose that interaction between the dopamine and opioid systems is a prerequisite for normal reward processing and that disrupted cross-talk may underlie altered reward processing in obesity. |
5,034 | A survey of object-oriented Petri nets and analysis methods | Petri nets are a well-known graphical and modeling tool for concurrent and distributed systems, and there have been many results on the theory, and also on practical applications. In the last decade, various Object-Oriented Petri nets (OO-nets) are proposed. As object orientation was adopted for programming languages, extension to OO-nets inspired from object-oriented programming is a natural flow. This article presents state-of-the-art on OO-nets. |
5,035 | Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition | We present a hardware architecture that uses the neural engineering framework (NEF) to implement large-scale neural networks on field programmable gate arrays (FPGAs) for performing massively parallel real-time pattern recognition. NEF is a framework that is capable of synthesising large-scale cognitive systems from subnetworks and we have previously presented an FPGA implementation of the NEF that successfully performs non linear mathematical computations. That work was developed based on a compact digital neural core, which consists of 64 neurons that are instantiated by a single physical neuron using a time multiplexing approach. We have now scaled this approach up to build a pattern recognition system by combining identical neural cores together. As a proof of concept, we have developed a handwritten digit recognition system using the MNIST database and achieved a recognition rate of 96.55%. The system is implemented on a state-of-the-art FPGA and can process 5.12 million digits per second. The architecture and hardware optimisations presented offer high-speed and resource-efficient means for performing highspeed, neuromorphic, and massively parallel pattern recognition and classification tasks. |
5,036 | Nanoneedles Induce Targeted siRNA Silencing of p16 in the Human Corneal Endothelium | Nanoneedles can target nucleic acid transfection to primary cells at tissue interfaces with high efficiency and minimal perturbation. The corneal endothelium is an ideal target for nanoneedle-mediated RNA interference therapy aimed at enhancing its proliferative capacity, necessary for tissue regeneration. This work develops a strategy for siRNA nanoninjection to the human corneal endothelium. Nanoneedles can deliver p16-targeting siRNA to primary human corneal endothelial cells in vitro without toxicity. The nanoinjection of siRNA induces p16 silencing and increases cell proliferation, as monitored by ki67 expression. Furthermore, siRNA nanoinjection targeting the human corneal endothelium is nontoxic ex vivo, and silences p16 in transfected cells. These data indicate that nanoinjection can support targeted RNA interference therapy for the treatment of endothelial corneal dysfunction. |
5,037 | Series Resonator Mode Switching for Area-Efficient Octave Tuning-Range CMOS LC Oscillators | Integrated oscillators with octave frequency tuning range (FTR) are desirable for wireless transceivers supporting multiple frequency bands. In this paper, we describe a wide-FTR CMOS voltage-controlled oscillator (VCO) based on a novel area-efficient series resonator mode-switching scheme that preserves resonator quality factor Q across the entire octave tuning range. This allows the CMOS VCO to simultaneously achieving wide FTR, area efficiency, and low phase noise, demonstrating state-of-the-art figure of merit (FoM) for >10-GHz octave-tuning range VCOs. We also analyze the relationship between Q and FTR across common resonator band-switching schemes, quantifying performance limits and highlighting the benefits of using mode-switching for wide-FTR VCOs. The proposed approach is demonstrated through a 6.4-14-GHz (74.6% FTR) VCO implemented in 65-nm CMOS that achieves 186-188-dB VCO FoM, demonstrating good FoM across the entire FTR. The scalability of this approach toward achieving even larger FTR is also demonstrated by a triple-mode 2.2-8.7-GHz (119% FTR) CMOS VCO. Area efficiency of the proposed mode-switching scheme is demonstrated by the state-of-the-art 197-dB FoM area achieved by the 14-GHz VCO. |
5,038 | Hyper-Redundant Manipulators for Operations in Confined Space: Typical Applications, Key Technologies, and Grand Challenges | In this article, we review the state of the art in hyper-redundant manipulators for applications in confined space such as ON-orbit services. With their multiple degrees of freedom and slender links, hyper-redundant manipulators can offer superior dexterity and excellent operability. They can traverse freely, manipulate objects flexibly, and conform to curvilinear paths accurately in confined spaces. The by-design separation of the mechanical and electrical parts in these manipulators also offers inherent structural compliance and miniaturization. Due to the elastic characteristics of driving cables, hyper-redundant manipulators have both stiffness and flexibility. In this article, the overviews of the current state of the art in this field are provided from the perspectives of both typical applications and key technologies. We detailed the relevant studies on the configuration, obstacle avoidance, path planning, and control technologies for hyper-redundant manipulators and highlight the use of these studies in the development of practical applications. Furthermore, we propose several aspects that need to be further studied, namely efficient inverse kinematics solution, strong coupled dynamics modeling, variable stiffness control, and multiobjective trajectory optimization. Breakthroughs in these areas will provide valuable solutions for complex path planning and control of hyper-redundant manipulators.(1) |
5,039 | Hybrid Ageing Patterns for face age estimation | Wrinkles can be embedded in several image-based applications as a descriptor for human skin. However, wrinkle-based age estimation research has not been widely addressed. In this paper, we introduce a Multi scale Wrinkle Patterns (MWP) representation, investigate the effect of wrinkles on face age estimation and propose Hybrid Ageing Patterns (HAP) for face age estimation. To define the wrinkle regions more precisely, a template consisting of 10 regions constructed relatively to a set of automatically located facial landmarks is used. We extract the multi-scale wrinkles in each region and encode them into MWP. We use Support Vector Regression to estimate age from the combination of such patterns. The performance of the algorithms is assessed by using Mean Absolute Error (MAE) on three state-of-the-art datasets-FG-NET, FERET and MORPH. We observe that MWP produces a comparable MAE of 4.16 on FERET to the state of the art. Finally we propose HAP, which combines the features from MWP and the facial appearance model (FAM), and demonstrate improved performance on FERET and MORPH with MAE of 3.02 (2.92) and 3.68 (2.98), respectively. Therefore, we conclude that MWP is an important complementary feature for face age estimation. (C) 2017 Elsevier B.V. All rights reserved. |
5,040 | Projected Iterative Soft-Thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging | Compressed sensing (CS) has exhibited great potential for accelerating magnetic resonance imaging (MRI). In CS-MRI, we want to reconstruct a high-quality image from very few samples in a short time. In this paper, we propose a fast algorithm, called projected iterative soft-thresholding algorithm (pISTA), and its acceleration pFISTA for CS-MRI image reconstruction. The proposed algorithms exploit sparsity of the magnetic resonance (MR) images under the redundant representation of tight frames. We prove that pISTA and pFISTA converge to a minimizer of a convex function with a balanced tight frame sparsity formulation. The pFISTA introduces only one adjustable parameter, the step size, and we provide an explicit rule to set this parameter. Numerical experiment results demonstrate that pFISTA leads to faster convergence speeds than the state-of-art counterpart does, while achieving comparable reconstruction errors. Moreover, reconstruction errors incurred by pFISTA appear insensitive to the step size. |
5,041 | Concentrations, Compound Profiles, and Possible Sources of Organic UV Filters in Human Milk in China | Ultraviolet (UV) filters are of great concern due to their wide occurrence, bioaccumulation, and toxicity. Little is known about human exposure to UV filters. A total of 3467 individual human milk samples from 24 Chinese provinces were collected during 2017-2019. The concentrations of 12 UV filters in 100 pooled milk samples were determined. The total UV filter concentration was 78-846 (mean 235 ± 120) ng/g lipid weight. The highest and lowest total mean concentrations were for samples from Qinghai and Sichuan provinces, respectively. A significant positive correlation was found between UV radiation levels and UV concentrations in the samples. The dominant UV filters were 2-(2-hydroxy-5-methylphenyl) benzotriazole (UV-P) and ethylhexyl methoxycinnamate (EHMC), which contributed means of 32 and 22%, respectively, to the total concentrations. Plastic products and sunscreens were probably the sources of UV-P and EHMC in the human milk from China, respectively. The mean 2-(3,5-di-tert-amyl-2-hydroxyphenyl) benzotriazole (UV-328) concentration was 2.6 ± 2.6 ng/g lipid weight. The UV filter profiles were similar to profiles for samples from Japan, the Philippines, and Switzerland but not for samples from Korea and Vietnam. The estimated daily UV filter intake for breastfed infants was below the corresponding reference dose. This was the first large-scale study of UV filters in human milk and will help assess the risks posed. |
5,042 | TanDEM-X Forest Mapping Using Convolutional Neural Networks | In this work, we face the problem of forest mapping from TanDEM-X data by means of Convolutional Neural Networks (CNNs). Our study aims to highlight the relevance of domain-related features for the extraction of the information of interest thanks to their joint nonlinear processing through CNN. In particular, we focus on the main InSAR features as the backscatter, coherence, and volume decorrelation, as well as the acquisition geometry through the local incidence angle. By using different state-of-the-art CNN architectures, our experiments consistently demonstrate the great potential of deep learning in data fusion for information extraction in the context of synthetic aperture radar signal processing and specifically for the task of forest mapping from TanDEM-X images. We compare three state-of-the-art CNN architectures, such as ResNet, DenseNet, and U-Net, obtaining a large performance gain over the baseline approach for all of them, with the U-Net solution being the most effective one. |
5,043 | Inflammation and plaque vulnerability | Atherosclerosis is a maladaptive, nonresolving chronic inflammatory disease that occurs at sites of blood flow disturbance. The disease usually remains silent until a breakdown of integrity at the arterial surface triggers the formation of a thrombus. By occluding the lumen, the thrombus or emboli detaching from it elicits ischaemic symptoms that may be life-threatening. Two types of surface damage can cause atherothrombosis: plaque rupture and endothelial erosion. Plaque rupture is thought to be caused by loss of mechanical stability, often due to reduced tensile strength of the collagen cap surrounding the plaque. Therefore, plaques with reduced collagen content are thought to be more vulnerable than those with a thick collagen cap. Endothelial erosion, on the other hand, may occur after injurious insults to the endothelium instigated by metabolic disturbance or immune insults. This review discusses the molecular mechanisms involved in plaque vulnerability and the development of atherothrombosis. |
5,044 | Scrotal Abdomen: Case Report and Management Principles | Hernias extending beyond the midpoint of the inner thigh in the standing position are called giant inguinal hernias or scrotal abdomen. They are rarely seen in common surgical practice. Huge inguinal hernias occur after years of neglect by the patient or in areas that are inaccessible to surgical services. Two cases of giant inguinal hernias which were managed successfully are presented here. Case 1: 80-year-old male patient presented with left giant scrotal abdomen for the past 12 years. Preoperatively, the pulmonary function test was found to be normal for his age. He was given incentive spirometry for a week. Perioperatively, the sac contained the entire small bowel, sigmoid colon, and omentum with inter bowel loop adhesions. Adhesions were released and it was repaired by hernioplasty with left orchidectomy. In the postoperative period, the patient was put on non-invasive ventilation for two days and then later was weaned off. Case 2: 42 years male patient presented with right-sided giant inguinoscrotal swelling for the past 15 years. The swelling was extending below midthigh. All the preoperative investigations were normal. Perioperatively, the sac contained omentum and small bowel and it was repaired by right hernioplasty. The postoperative period was uneventful and the patient recovered well. These are interesting cases of giant inguinal hernias. The occurrence of such potentially dangerous surgical problems is more common in low-to-middle income countries owing to the unavailability of surgical services. The management involves specific measures to prepare the patient adequately preoperatively especially to prevent respiratory complications in the postoperative period. Giant inguinal hernias can be comfortably managed if the patients are prepared adequately in the preoperative period. Their postoperative period will be uneventful if their pulmonary functions are normal. |
5,045 | Reduced penetrance of MODY-associated HNF1A/HNF4A variants but not GCK variants in clinically unselected cohorts | The true prevalence and penetrance of monogenic disease variants are often not known because of clinical-referral ascertainment bias. We comprehensively assess the penetrance and prevalence of pathogenic variants in HNF1A, HNF4A, and GCK that account for >80% of monogenic diabetes. We analyzed clinical and genetic data from 1,742 clinically referred probands, 2,194 family members, clinically unselected individuals from a US health system-based cohort (n = 132,194), and a UK population-based cohort (n = 198,748). We show that one in 1,500 individuals harbor a pathogenic variant in one of these genes. The penetrance of diabetes for HNF1A and HNF4A pathogenic variants was substantially lower in the clinically unselected individuals compared to clinically referred probands and was dependent on the setting (32% in the population, 49% in the health system cohort, 86% in a family member, and 98% in probands for HNF1A). The relative risk of diabetes was similar across the clinically unselected cohorts highlighting the role of environment/other genetic factors. Surprisingly, the penetrance of pathogenic GCK variants was similar across all cohorts (89%-97%). We highlight that pathogenic variants in HNF1A, HNF4A, and GCK are not ultra-rare in the population. For HNF1A and HNF4A, we need to tailor genetic interpretation and counseling based on the setting in which a pathogenic monogenic variant was identified. GCK is an exception with near-complete penetrance in all settings. This along with the clinical implication of diagnosis makes it an excellent candidate for the American College of Medical Genetics secondary gene list. |
5,046 | Modified ART 2A growing network capable of generating a fixed number of nodes | This paper introduces the Adaptive Resonance Theory under Constraint (ART-C 2A) learning paradigm based on ART 2A, which is capable of generating a user-defined number of recognition nodes through online estimation of an appropriate vigilance threshold. Empirical experiments compare the cluster validity and the learning efficiency of ART-C 2A with those of ART 2A, as well as three closely related clustering methods, namely online K-Means, batch K-Means, and SOM, in a quantitative manner. Besides retaining the online cluster creation capability of ART 2A, ART-C 2A gives the alternative clustering solution, which allows a direct control on the number of output clusters generated by the self-organizing process. |
5,047 | Structural studies of SALL family protein zinc finger cluster domains in complex with DNA reveal preferential binding to an AATA tetranucleotide motif | The Spalt-like 4 transcription factor (SALL4) plays an essential role in controlling the pluripotent property of embryonic stem cells via binding to AT-rich regions of genomic DNA, but structural details on this binding interaction have not been fully characterized. Here, we present crystal structures of the zinc finger cluster 4 (ZFC4) domain of SALL4 (SALL4ZFC4) bound with different dsDNAs containing a conserved AT-rich motif. In the structures, two zinc fingers of SALL4ZFC4 recognize an AATA tetranucleotide. We also solved the DNA-bound structures of SALL3ZFC4 and SALL4ZFC1. These structures illuminate a common preference for the AATA tetranucleotide shared by ZFC4 of SALL1, SALL3, and SALL4. Furthermore, our cell biology experiments demonstrate that the DNA-binding activity is essential for SALL4 function as DNA-binding defective mutants of mouse Sall4 failed to repress aberrant gene expression in Sall4-/- mESCs. Thus, these analyses provide new insights into the mechanisms of action underlying SALL family proteins in controlling cell fate via preferential targeting to AT-rich sites within genomic DNA during cell differentiation. |
5,048 | Grinding and fine finishing of future automotive powertrain components | The automotive industry is undergoing a major transformation driven by regulations and a fast-paced electrification. A critical analysis of technological trends and associated requirements for major automotive powertrain components is carried out in close collaboration with industry - covering the perspectives of OEMs, suppliers, and machine builders. The main focus is to review the state of the art with regard to grinding, dressing, texturing and fine-finishing technologies. A survey of research papers and patents is accompanied by case studies that provide further insights into the production value chain. Finally, key industrial and research challenges are summarized. (c) 2021 The Author(s). Published by Elsevier Ltd on behalf of CIRP. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
5,049 | Multiple endocrine neoplasia type 2 (MEN2) and RET specific modifications of the ACMG/AMP variant classification guidelines and impact on the MEN2 RET database | The Multiple Endocrine Neoplasia type 2 (MEN2) RET proto-oncogene database, originally published in 2008, is a comprehensive repository of all publicly available RET gene variations associated with MEN2 syndromes. The variant-specific genotype/phenotype information, age of earliest reported medullary thyroid carcinoma (MTC) onset, and relevant references with a brief summary of findings are cataloged. The ACMG/AMP 2015 consensus statement on variant classification was modified specifically for MEN2 syndromes and RET variants using ClinGen sequence variant interpretation working group recommendations and ClinGen expert panel manuscripts, as well as manuscripts from the American Thyroid Association Guidelines Task Force on Medullary Thyroid Carcinoma and other MEN2 RET literature. The classifications for the 166 single unique variants in the MEN2 RET database were reanalyzed using the MEN2 RET specifically modified ACMG/AMP classification guidelines (version 1). Applying these guidelines added two new variant classifications to the database (likely benign and likely pathogenic) and resulted in clinically significant classification changes (e.g., from pathogenic to uncertain) in 15.7% (26/166) of the original variants. Of those clinically significant changes, the highest percentage of changes, 46.2% (12/26), were changes from uncertain to benign or likely benign. The modified ACMG/AMP criteria with MEN2 RET specifications will optimize and standardize RET variant classifications. |
5,050 | A Neuro-Fuzzy System to Detect IPv6 Router Alert Option DoS Packets | Detecting the denial of service attacks that solely target the router is a maximum security imperative in deploying IPv6 networks. The state-of-the-art Denial of Service detection methods aim at leveraging the advantages of flow statistical features and machine learning techniques. However, the detection performance is highly affected by the quality of the feature selector and the reliability of datasets of IPv6 flow information. This paper proposes a new neuro-fuzzy inference system to tackle the problem of classifying the packets in IPv6 networks in crucial situation of small-supervised training dataset. The proposed system is capable of classifying the IPv6 router alert option packets into denial of service and normal by utilizing the neuro-fuzzy strengths to boost the classification accuracy. A mathematical analysis from the fuzzy sets theory perspective is provided to express performance benefit of the proposed system. An empirical performance test is conducted on comprehensive dataset of IPv6 packets produced in a supervised environment. The result shows that the proposed system overcomes robustly some state-of-the-art systems. |
5,051 | At the crossroad: A new approach to the Upper Paleolithic art in the Western Pyrenees | The main corridor that has acted as an entrance to the Iberian Peninsula through the Western Pyrenees was as an important communication route in Western Europe during the Paleolithic. This is an area where, despite having documented intense human occupation during different periods of the Upper Paleolithic, the symbolic activity seems incomprehensibly limited compared to other regions, such as the Cantabrian, the Northern Pyrenees, or Dordogne. The reactivation of research during this last decade, when referring to cave art, leads to a very different model than the one that had been previously posed for this region, mainly due to a series of new discoveries, some of which are worth mentioning, such as Askondo and Lumentxa, or others of lower interest such as Astigarraga, Praile Aitz, and Aitzbitarte IV. The re-examination and revision of previously known representations has also contributed to the development of this new model, especially thanks to the research carried out in sites such as Santimamine, Altxerri, Isturitz, Oxocelhaya, Sasiziloaga, Sinhikole, or Sainte Colome, as has the revision of the great amount of portable art, mainly from Isturitz, as well as the discovery of new objects from Antolina, Ekain, Praile Aitz, Aitzbitarte III, Santa Catalina, Arlanpe, and Bourrouilla. Due to these advances, the image that we have of the artistic activity around the epicentre that was the Gulf of Biscay has substantially varied in a way that allows us to carry out a more detailed approximation to a series of relevant questions such as the chronology of the artistic representations, the variability of their contexts, the technical and formal relations among different neighbouring regions, and their relation to the non-symbolic archaeological record. (C) 2014 Elsevier Ltd and INQUA. All rights reserved. |
5,052 | Caught in the act-Visualizing ribonucleases during eukaryotic ribosome assembly | Ribosomes are essential macromolecular machines responsible for translating the genetic information encoded in mRNAs into proteins. Ribosomes are composed of ribosomal RNAs and proteins (rRNAs and RPs) and the rRNAs fulfill both catalytic and architectural functions. Excision of the mature eukaryotic rRNAs from their precursor transcript is achieved through a complex series of endoribonucleolytic cleavages and exoribonucleolytic processing steps that are precisely coordinated with other aspects of ribosome assembly. Many ribonucleases involved in pre-rRNA processing have been identified and pre-rRNA processing pathways are relatively well defined. However, momentous advances in cryo-electron microscopy have recently enabled structural snapshots of various pre-ribosomal particles from budding yeast (Saccharomyces cerevisiae) and human cells to be captured and, excitingly, these structures not only allow pre-rRNAs to be observed before and after cleavage events, but also enable ribonucleases to be visualized on their target RNAs. These structural views of pre-rRNA processing in action allow a new layer of understanding of rRNA maturation and how it is coordinated with other aspects of ribosome assembly. They illuminate mechanisms of target recognition by the diverse ribonucleases involved and reveal how the cleavage/processing activities of these enzymes are regulated. In this review, we discuss the new insights into pre-rRNA processing gained by structural analyses and the growing understanding of the mechanisms of ribonuclease regulation. This article is categorized under: Translation > Ribosome Biogenesis RNA Processing > rRNA Processing. |
5,053 | Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores | Studies have shown that there is a tight connection between cognition skills and brain morphology during infancy. Nonetheless, it is still a great challenge to predict individual cognitive scores using their brain morphological features, considering issues like the excessive feature dimension, small sample size and missing data. Due to the limited data, a compact but expressive feature set is desirable as it can reduce the dimension and avoid the potential overfitting issue. Therefore, we pioneer the path signature method to further explore the essential hidden dynamic patterns of longitudinal cortical features. To form a hierarchical and more informative temporal representation, in this work, a novel cortical feature based path signature neural network (CF-PSNet) is proposed with stacked differentiable temporal path signature layers for prediction of individual cognitive scores. By introducing the existence embedding in path generation, we can improve the robustness against the missing data. Benefiting from the global temporal receptive field of CF-PSNet, characteristics consisted in the existing data can be fully leveraged. Further, as there is no need for the whole brain to work for a certain cognitive ability, a top K selection module is used to select the most influential brain regions, decreasing the model size and the risk of overfitting. Extensive experiments are conducted on an in-house longitudinal infant dataset within 9 time points. By comparing with several recent algorithms, we illustrate the state-of-the-art performance of our CF-PSNet (i.e., root mean square error of 0.027 with the time latency of 518 milliseconds for each sample). |
5,054 | Monocular Visual Scene Understanding: Understanding Multi-Object Traffic Scenes | Following recent advances in detection, context modeling, and tracking, scene understanding has been the focus of renewed interest in computer vision research. This paper presents a novel probabilistic 3D scene model that integrates state-of-the-art multiclass object detection, object tracking and scene labeling together with geometric 3D reasoning. Our model is able to represent complex object interactions such as inter-object occlusion, physical exclusion between objects, and geometric context. Inference in this model allows us to jointly recover the 3D scene context and perform 3D multi-object tracking from a mobile observer, for objects of multiple categories, using only monocular video as input. Contrary to many other approaches, our system performs explicit occlusion reasoning and is therefore capable of tracking objects that are partially occluded for extended periods of time, or objects that have never been observed to their full extent. In addition, we show that a joint scene tracklet model for the evidence collected over multiple frames substantially improves performance. The approach is evaluated for different types of challenging onboard sequences. We first show a substantial improvement to the state of the art in 3D multipeople tracking. Moreover, a similar performance gain is achieved for multiclass 3D tracking of cars and trucks on a challenging dataset. |
5,055 | An Ensemble Colorization Method | Colorization is a well established problem concerning recovering the potential colors of monochrome images. In the past decade several highly effective computer-assisted methods have been proposed for solving the colorization problem, among which two methods achieved the state-of-the-art performance. The two methods are totally different, and each of them has its advantages and disadvantages. We propose an ensemble method unifying the two state-of-the-art methods to better exploit their advantages. Empirical results demonstrate the superiority of our ensemble method over using each of the two methods alone. |
5,056 | Flood or Non-Flooded: A Comparative Study of State-of-the-Art Models for Flood Image Classification Using the FloodNet Dataset with Uncertainty Offset Analysis | Natural disasters, such as floods, can cause significant damage to both the environment and human life. Rapid and accurate identification of affected areas is crucial for effective disaster response and recovery efforts. In this paper, we aimed to evaluate the performance of state-of-the-art (SOTA) computer vision models for flood image classification, by utilizing a semi-supervised learning approach on a dataset named FloodNet. To achieve this, we trained son 11 state-of-the-art (SOTA) models and modified them to suit the classification task at hand. Furthermore, we also introduced a technique of varying the uncertainty offset lambda in the models to analyze its impact on the performance. The models were evaluated using standard classification metrics such as Loss, Accuracy, F1 Score, Precision, Recall, and ROC-AUC. The results of this study provide a quantitative comparison of the performance of different CNN architectures for flood image classification, as well as the impact of different uncertainty offset lambda. These findings can aid in the development of more accurate and efficient disaster response and recovery systems, which could help in minimizing the impact of natural disasters. |
5,057 | Differential Evolutionary Superpixel Segmentation | Superpixel segmentation has been of increasing importance in many computer vision applications recently. To handle the problem, most state-of-the-art algorithms either adopt a local color variance model or a local optimization algorithm. This paper develops a new approach, named differential evolutionary superpixels, which is able to optimize the global properties of segmentation by means of a global optimizer. We design a comprehensive objective function aggregating within-superpixel error, boundary gradient, and a regularization term. Minimizing the within-superpixel error enforces the homogeneity of superpixels. In addition, the introduction of boundary gradient drives the superpixel boundaries to capture the natural image boundaries, so as to make each superpixel overlaps with a single object. The regularizer further encourages producing similarly sized superpixels that are friendly to human vision. The optimization is then accomplished by a powerful global optimizer-differential evolution. The algorithm constantly evolves the superpixels by mimicking the process of natural evolution, while using a linear complexity to the image size. Experimental results and comparisons with eleven state-of-the-art peer algorithms verify the promising performance of our algorithm. |
5,058 | Segmentation of the True Lumen of Aorta Dissection via Morphology-Constrained Stepwise Deep Mesh Regression | The lumen of aortic dissection (AD) has important clinical value for preoperative diagnosis, interoperative intervention, and post-operative evaluation of AD diseases. AD segmentation is challenging because (i) fitting its irregular profile by using traditional models is difficult, and (ii) the size of the AD image is usually so big that many algorithms have to perform down-sampling to reduce the computational burden, thereby reducing the resolution of the result. In this paper, an automatic AD segmentation algorithm, in which a 3D mesh is gradually moved to the surface of AD based on the offset estimated by a deep mesh deformation module, is presented. AD morphology is used to constrain the initial mesh and guide the deformation, which improves the efficiency of the deep network and avoids down-sampling. Moreover, a stepwise regression strategy is introduced to solve the mesh folding problem and improve the uniformity of the mesh points. On an AD database that involves 35 images, the proposed method obtains the mean Dice of 94.12% and symmetric 95% Hausdorff distance of 2.85 mm, which outperforms five state-of-the-art AD segmentation methods. The average processing time is 16.6 s, and the memory used to train the network is only 0.36 GB, indicating that this method is easy to apply in clinical practice. |
5,059 | Research, Development and Simulation of Quantum Cryptographic Protocols | Cryptography is the art of hiding information. Quantum cryptography is the next level in cryptography. This paper presents the development and the software simulation of BB84 without eavesdropper, BB84 with eavesdropper, BB84 with QBTT eavesdropper detection method and BSPA quantum cryptographic communication protocol. |
5,060 | A Robust and Reliable Point Cloud Recognition Network Under Rigid Transformation | Point cloud recognition is an essential task in industrial robotics and autonomous driving. Recently, several point cloud processing models have achieved state-of-the-art performances. However, these methods lack rotation robustness, and their performances degrade severely under random rotations, failing to extend to real-world scenarios with varying orientations. To this end, we propose a method named self-contour-based transformation (SCT), which can be flexibly integrated into various existing point cloud recognition models against arbitrary rotations. SCT provides efficient rotation and translation invariance by introducing contour-aware transformation (CAT), which linearly transforms the Cartesian coordinates of points to translation and rotation-invariant representations. We prove that CAT is a rotation- and translation-invariant transformation based on the theoretical analysis. Furthermore, the frame alignment module is proposed to enhance the discriminative feature extraction by capturing contours and transforming self-contour-based frames into intraclass frames. Extensive experimental results show that SCT outperforms the state-of-the-art approaches under arbitrary rotations in effectiveness and efficiency on synthetic and real-world benchmarks. Furthermore, the robustness and generality evaluations indicate that SCT is robust and is applicable to various point cloud processing models, which highlights the superiority of SCT in industrial applications. |
5,061 | ATP-binding cassette transporter A7 (ABCA7) loss of function alters Alzheimer amyloid processing | The ATP-binding cassette transporter A7 (ABCA7) has been identified as a susceptibility factor of late onset Alzheimer disease in genome-wide association studies. ABCA7 has been shown to mediate phagocytosis and affect membrane trafficking. The current study examined the impact of ABCA7 loss of function on amyloid precursor protein (APP) processing and generation of amyloid-β (Aβ). Suppression of endogenous ABCA7 in several different cell lines resulted in increased β-secretase cleavage and elevated Aβ. ABCA7 knock-out mice displayed an increased production of endogenous murine amyloid Aβ42 species. Crossing ABCA7-deficient animals to an APP transgenic model resulted in significant increases in the soluble Aβ as compared with mice expressing normal levels of ABCA7. Only modest changes in the amount of insoluble Aβ and amyloid plaque densities were observed once the amyloid pathology was well developed, whereas Aβ deposition was enhanced in younger animals. In vitro studies indicated a more rapid endocytosis of APP in ABCA7 knock-out cells that is mechanistically consistent with the increased Aβ production. These in vitro and in vivo findings indicate a direct role of ABCA7 in amyloid processing that may be associated with its primary biological function to regulate endocytic pathways. Several potential loss-of-function ABCA7 mutations and deletions linked to Alzheimer disease that in some instances have a greater impact than apoE allelic variants have recently been identified. A reduction in ABCA7 expression or loss of function would be predicted to increase amyloid production and that may be a contributing factor in the associated Alzheimer disease susceptibility. |
5,062 | Comparing stakeholder incentives across state-of-the-art renewable support mechanisms | Traditional support policies for green energy have greatly contributed to the rise in prosumer numbers. However, it is believed that they will soon start to exert negative impact on stakeholders and on the grid. Policy makers advise to phase out two of the most widely applied policies - net metering and feed-in tariff, in favor of support policies that scale better with rising renewable generation. This work quantifies the impact of these traditional policies in future "what-if" scenarios and confirms the need for their replacement. Based on simulations with real data, we compare net metering and feed-in tariff to four state-of-the-art market-based mechanisms, which involve auction, negotiation and bitcoin-like currency. The paper examines the extent to which each of these mechanisms motivates not only green energy production but also its consumption. The properties and characteristics of the above mechanisms are evaluated from the perspective of key stakeholders in the low voltage grid - prosumers, consumers and energy providers. The outcome of this study sheds light on current and future issues that are relevant for policy makers in the evolving landscape of the smart grid. (C) 2018 Elsevier Ltd. All rights reserved. |
5,063 | Liver Metastasis of Thymoma: Case Report and Review of the Literature | The 2021 "World Health Organization (WHO) Classification of Thoracic Tumours" classifies epithelial tumors of the thymus (thymomas) based on cytomorphology. Thymomas with benign cytomorphology are classified as type A, AB, B1, B2, and B3, while those with malignant cytomorphology are classified as thymic carcinoma. Although all thymomas have malignant potential, extra-thoracic metastasis of thymomas is exceedingly rare and the exact incidence is not known. Literature review demonstrated 39 cases of thymoma with extra-thoracic metastases reported since the publication of the 1999 WHO Classification of Thoracic Tumours. Nine of these cases presented with metastasis to the liver in the setting of concurrent metastasis to other organs, while only three cases metastasized solely to the liver. We herein report a well-documented case of type B1 thymoma with relatively limited stage (IIb) with an isolated, single liver metastasis occurring seven years after primary resection in a patient with concomitant myasthenia gravis. The following report includes a review of the literature, a discussion of thymoma classification and its relevance to prognosis, and an overview of other extra-thoracic metastatic thymoma cases. |
5,064 | Food waste-Energy-Water-Emissions (FEWE) nexus in the food service sector: Comparing a restaurant meal from imported ingredients versus an imported ready-to-eat meal | The food service sector (FSS) is expanding due to the tendency of people to eat out. The growth of the FSS raises sustainability concerns about different activities across the life cycle of food systems. Analysing energy and material flows in the food systems enables decision-makers to prioritise procurement, kitchen management, and menu design. This study adopted Food waste-Energy-Water-Emissions (FEWE) nexus framework based on the life cycle assessment (LCA) methodology to evaluate the environmental impacts of two different systems of FSS. The effects of pasta cooked at Landmark Mandarin Oriental Hotel (LMO) in Hong Kong using imported ingredients were determined. Then the impacts of the pasta cooked at Artisan Food Company (ART) in Australia and shipped to Hong Kong as a ready-to-eat meal were found. Lastly, we discussed the FEWE nexus trade-offs among the impact results. The ART meal's indirect global warming potential (GWP) causes higher carbon emissions than the LMO meal. Also, the indirect cumulative energy demand (CED) of the ART and LMO meals showed no energy footprint difference. Similarly, indirect water consumption (WC) of the ART and LMO meals do not differ. The direct CED of the ART meal is higher than that of the LMO meal. While the ART meal has higher direct GWP than the LMO, the direct WC of the ART and LMO meals do not differ. Moreover, the indirect ART food waste (FW) is less than the LMO one, while direct FW for both ART and LMO meals is negligible. Conclusively, the localisation of meal preparation in Hong Kong results in better environmental performance than importing ready-to-eat meal. |
5,065 | Toward Edge-Assisted Video Content Intelligent Caching With Long Short-Term Memory Learning | Nowadays video content has contributed to the majority of Internet traffic, which brings great challenge to the network infrastructure. Fortunately, the emergence of edge computing has provided a promising way to reduce the video load on the network by caching contents closer to users.But caching replacement algorithm is essential for the cache efficiency considering the limited cache space under existing edge-assisted network architecture. To investigate the challenges and opportunities inside, we first measure the performance of five state-of-the-art caching algorithms based on three real-world datasets. Our observation shows that state-of-the-art caching replacement algorithms suffer from following weaknesses: 1) the rule-based replacement approachs (e.g., LFU,LRU) cannot adapt under different scenarios; 2) data-driven forecast approaches only work efficiently on specific scenarios or datasets, as the extracted features working on one dataset may not work on another one. Motivated by these observations and edge-assisted computation capacity, we then propose an edge-assisted intelligent caching replacement framework <italic>LSTM-C</italic> based on deep Long Short-Term Memory network, which contains two types of modules: 1) four basic modules manage the coordination among content requests, content replace, cache space, service management; 2) three learning-based modules enable the online deep learning to provide intelligent caching strategy. Supported by this design, LSTM-C learns the pattern of content popularity at long and short time scales as well as determines the cache replacement policy. Most important, LSTM-C represents the request pattern with built-in memory cells, thus requires no data pre-processing, pre-programmed model or additional information. Our experiment results show that LSTM-C outperforms state-of-the-art methods in cache hit rate on three real-traces of video requests. When the cache size is limited, LSTM-C outperforms baselines by on average respectively, which are fast enough for online operations. |
5,066 | Association investigations between ACE1 and ACE2 polymorphisms and severity of COVID-19 disease | Due to the unique affinity of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to the angiotensin-converting enzyme 2 (ACE2) receptor in patients, the foremost recent evidence indicated that ACE1 and ACE2 polymorphisms could affect the susceptibility of individuals to SARS-CoV-2 infection and also the disease outcome. Here, we aimed to assess the possible association between two polymorphisms and the severity of disease in patients. In the present study, 146 patients with COVID-19 who were admitted to the Mazandaran University of Medical Sciences hospitals between March 2020 and July 2020 were enrolled in this case-control study. The patients were divided into four groups based on clinical symptoms and severity of the diseases (mild, moderate, severe, and critical). After DNA extraction, the ACE gene I/D polymorphism (rs4646994) and ACE2 gene polymorphism (rs2285666) were genotyped using Gap-PCR and PCR-RFLP techniques, respectively. Then, five samples from each obtained genotype were confirmed by Sanger sequencing technique. Data were analyzed with SAS software version 9.1 using appropriate statistical procedures. The ACE gene I/D polymorphism (rs4646994) genotypes were classified into three types: I/I, I/D, and D/D. Our finding indicated that the prevalence of ACE1 D/D genotype was significantly higher in severe and critical COVID-19 patients (P = 0.0016). Additionally, the analysis revealed a remarkable association between rs4646994 SNP and the HB and ESRI levels in patients (P < 0.05). Although the ACE2 rs2285666 SNP was not related to the severity of disease, this variant was significantly associated with ALT, ESRI, and P. These results provide preliminary evidence of a genetic association between the ACE-D/D genotype and the D allele of ACE1 genotype and the disease severity. Therefore, our findings might be useful for identifying the susceptible population groups for COVID-19 therapy. |
5,067 | On the Quasi-Saturation in State-of-the-Art Power MOSFETs | The quasi-saturation (QS) effect in a power MOSFET has been discovered several decades ago. As the field has evolved and the dimensions in power MOSFETs have changed from tens of micrometers to submicrometer levels, and the gate geometry has evolved from planar to trench, the origin and the effect of the QS need to be re-assessed. This letter first discusses the origin of the QS effect in the state-of-the-art power MOSFETs and subsequently analyses the phenomenon of majority carrier injection (or diffusion) and its contribution to the increased carrier concentration in the drift region, specific to quasi-saturation. |
5,068 | [Counter-Experts: Environment, Activism and the Regional Epistemologies of Social Movements] | With the demand for "counter-knowledge" in the social movements of the 1970s and 1980s, "counter-experts" became an integral part of politics. In the field of environmental activism, counter-experts were particularly well represented in regions and agglomerations with high levels of industrial pollution. This essay argues that awareness correlated with a mode of knowledge production that was typical for the environmental sciences in the twentieth century. The history of the environmental sciences throughout that period was shaped by regional epistemologies, often emerging in the context of large-scale infrastructural projects. Many counter-experts therefore had strong ties with the field of the environmental sciences. The article traces three influential counter-experts in the Frankfurt Main region by 1980: the pastor Kurt Oeser; scientific green activist Jutta Ditfurth; and the project of a "social natural science" related to the Darmstadt philosopher Gernot Böhme. |
5,069 | Convolutional Weighted Parametric Multichannel Wiener Filter for Reverberant Source Separation | In this letter, we address the problem of simultaneous separation and dereverberation of overlapped speech recorded in reverberant conditions. The majority of state-of-the-art techniques are tailored for either of the two problems, which for the joint task leads to sub-optimum performance or solutions which involve subsequent, cascade processing. In contrast, we propose a jointly optimum approach in which we formulate a single optimization criterion that minimizes variance of undesired signal components at the output of a convolutional filter, weighted with the desired speech variance, subject to a constraint which allows to control the amount of distortions in the estimated speech signal. We then derive a closed-form solution of the proposed convolutional weighted parametric multichannel Wiener (CW-PMW) filter which integrates linear-prediction based dereverberation and speech-distortion weighted Wiener filtering in a jointly optimum manner. The results of experiments performed using measured and simulated data indicate superior performance of the proposed approach in comparison with state-of-the-art, which includes sub-optimum cascades of optimum filters for individual tasks, as well as the recently presented jointly optimum, weighted power minimization distortionless response (WPD) beamformer. |
5,070 | Targeting human thymidylate synthase: Ensemble-based virtual screening for drug repositioning and the role of water | A drug repositioning computational approach was carried to search inhibitors for human thymidylate synthase. An ensemble-based virtual screening of FDA-approved drugs showed the drugs Imatinib, Lumacaftor and Naldemedine to be likely candidates for repurposing. The role of water in the drug-receptor interactions was revealed by the application of an extended AutoDock scoring function that included the water forcefield. The binding affinity scores when hydrated ligands were docked were improved in the drugs considered. Further binding free energy calculations based on the Molecular Mechanics Poisson-Boltzmann Surface Area method revealed that Imatinib, Lumacaftor and Naldemedine scored -130.7 ± 28.1, -210.6 ± 29.9 and -238.0 ± 25.4 kJ/mol, respectively, showing good binding affinity for the candidates considered. Overall, the analysis of the molecular dynamics trajectory of the receptor-drug complexes revealed stable structures for Imatinib, Lumacaftor and Naldemedine, for the entire simulation time. |
5,071 | Electromagnetic field diffraction of a paraboloidal mirror under oblique incidence | Asymptotic ray theory (ART) or Geometrical optics approximation shows singularity in the focal region of focusing systems. Maslov's method is a technique which overcomes the defect of asymptotic ray theory (ART). In this research work, electromagnetic field expressions for a paraboloidal mirror are derived in which incident electromagnetic field is considered to be oblique. In this work polarization of the incidence wave are studied under two cases, when the field is parallel and perpendicular to the assumed meridional plane of incidence. The procedure used to calculate the electromagnetic field in the focal region of paraboloidal mirror is Maslov's method. The numerical integration is performed for the integrals obtained by this technique in order to get information about intensity of field in focal region. |
5,072 | ECOLOGICAL INTEGRATION OF LARGE-SCALE LANDSCAPE OPERA FROM THE PERSPECTIVE OF ECOLOGICAL ART | The landscape live performance is a newly emerging form of performance in recent years. While gaining positive benefits in politics, economy and culture, the negative problems of ecological environment have also aroused widespread concern. Based on the principle of ecological art, this paper discusses the integration of large-scale landscape opera and environment. Therefore, the research results should establish the concept of sustainable development, through self-innovation, ecological awareness, return to the essence of art, and extend the industrial chain, so as to make it develop along a healthy and benign track. |
5,073 | Candidate List Reduction Based on the Analysis of Fingerprint Indexing Scores | This correspondence proposes new candidate list reduction criteria for fingerprint indexing approaches. The basic idea is that, given a query fingerprint, the initial set of scores produced by an indexer could contain useful information to reduce the candidate list. Novel reduction criteria have been proposed, and extensive experiments have been carried out over five publicly available benchmarks, using two state-of-the-art fingerprint indexing techniques. Although quite simple, the proposed criteria achieved remarkable results, allowing a substantial reduction of the candidate list: for instance, at 1% error rate, the average penetration rate of a state-of-the-art minutiae-based indexer decreases from 27% to 3.9% on FVC2000 DB2. The new reduction criteria are applicable to any indexing approach, since they only require a list of scores as input. |
5,074 | Estimation of dietary intake of 90Sr in Japan after the Fukushima Daiichi Nuclear Power Plant accident: market basket study, 2013-2018 | Radionuclide contamination in foods has been a public concern in Japan after the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident. To estimate time and regional trends of daily intake and annual committed effective dose of strontium-90 (90Sr) after the accident, we analysed Market basket samples using a low background 2π gas-flow counter. Samples were collected from six regions, once a year from 2013 to 2018. There appeared to be little variation in estimated daily intake and annual committed effective dose of 90Sr across the time periods and regions. The estimated maximum annual committed effective dose of 90Sr was 0.00076 mSv/year, a value sufficiently lower than the intervention exemption level, 1 mSv/year, in foods in Japan. There was no noticeable difference between the range of estimated daily intake of 90Sr in this study compared with daily intake measured before the FDNPP accident. These results suggested that no obvious increase in dietary intake of 90Sr was observed after the FDNPP accident, and that the effects on commercial foods from 90Sr due to the FDNPP accident were negligible. |
5,075 | Western gray whale behavioral response to seismic surveys during their foraging season | Gray whales utilizing their foraging grounds off northeastern Sakhalin Island, Russia, have been increasingly exposed to anthropogenic activities related to oil and gas development over the past two decades. In 2015, four seismic vessels, contracted by two operators, conducted surveys near and within the gray whale feeding grounds. Mitigation and monitoring plans were developed prior to the survey and implemented in the field, with real-time data transfers to assist the implementation of measures aimed at minimizing impacts of acoustic exposure. This study examined the behavioral response of gray whales relative to vessel proximities and sounds generated during seismic exploration. Five shore-based teams monitored gray whale behavior from 1 June to 30 September using theodolite tracking and focal follow methodologies. Behavioral data were combined with acoustic and benthic information from studies conducted during the same period. A total of 1270 tracks (mean duration = 0.9 h) and 401 focal follows (1.1 h) were collected with gray whales exposed to sounds ranging from 59 to 172 dB re 1 μPa2 SPL. Mixed models were used to examine 13 movement and 10 respiration response variables relative to "natural," acoustic, and non-acoustic explanatory variables. Water depth and behavioral state were the largest predictors of gray whale movement and respiration patterns. As vessels approached whales with increasing seismic/vessel sound exposure levels and decreasing distances, several gray whale movement and respiration response variables significantly changed (increasing speed, directionality, surface time, respiration intervals, etc.). Although the mitigation measures employed could have reduced larger/long-term responses and sensitization to the seismic activities, this study illustrates that mitigation measures did not eliminate behavioral responses, at least in the short-term, of feeding gray whales to the activities. |
5,076 | Intravenous tryptophan administration attenuates cortisol secretion induced by intracerebroventricular injection of noradrenaline | This study was conducted to investigate the possibility of suppression of stress-induced cortisol (CORT) secretion by tryptophan (TRP) administration and to better understand its regulatory mechanisms by using a noradrenaline (NA) injection into the third ventricle (3V) as a stress model in cattle. A total of 25 Holstein steers with a cannula in the 3V were used. First, the increase in CORT secretion was observed following a NA injection into the 3V in a dose-dependent manner, verifying the appropriateness of this treatment as a stress model of CORT secretion (Experiment 1). The effect of prior-administration of TRP into peripheral blood with a dose that has been demonstrated to increase brain 5-hydroxytryptamine levels on the elevation of plasma CORT induced by NA or corticotropin-releasing hormone (CRH) was then examined (Experiment 2). The prior administration of TRP suppressed NA-induced, but not CRH-induced, CORT elevation. These results suggest that an increase in TRP absorption into peripheral blood could suppress the stress-induced CORT secretion in cattle via the attenuation of the stimulatory effect of NA on the hypothalamic CRH release. |
5,077 | Venous Thromboembolism Prophylaxis in Inflammatory Bowel Disease: A Two-year Retrospective Study of Patients Presenting With Inflammatory Bowel Disease to a Community Hospital | Objective We set out to determine the rate of pharmacological venous thromboembolism (VTE) prophylaxis among patients admitted with inflammatory bowel disease (IBD) and indirectly compare it to national trends. We also assessed the demographic and clinical correlates for non-prescription of pharmacologic VTE prophylaxis among IBD patients with and without a flare. Methods We extracted data from 123 patients admitted to our facility with IBD from September 2018 to August 2020 retrospectively. Out of this cohort, 26 patients were excluded and 96 were included in our analysis. Baseline characteristics were analyzed using descriptive statistics. Multiple logistic regression was used to evaluate the correlates of pharmacological VTE prophylaxis use in individuals with IBD and to analyze the predictors of VTE prophylaxis use in patients with IBD flares. Results Out of the 96 patients with IBD included in this study, 61 (63.5%) presented with an IBD flare, and among those with a flare, 26/61 (42.6%) received VTE prophylaxis. IBD patients aged ≥ 65 years and of Black race were less likely to be placed on pharmacological VTE prophylaxis (adjusted odds ratio (AOR) 0.20, 95% CI (0.06 - 0.70), p-value 0.012) and (AOR 0.16, 95% CI (0.05 - 0.50), p-value 0.002) respectively. Among those with a flare, the presence of bright red bleeding per rectum was associated with a low rate of pharmacologic VTE use (AOR 0.01, 95% CI (0.00 -1.78), p-value 0.001). Overall the rate of VTE prophylaxis use in the IBD patient cohort was 56.3% and this was irrespective of flare status. Conclusion Our study showed the low rate of pharmacologic VTE prophylaxis use in IBD patients at this center and this finding was in line with national trends. Interestingly age and the race of patients played a major role in the decision to provide pharmacological VTE prophylaxis but the reason for this finding was not explored by our study. A larger multi-center study is needed to further evaluate these relationships. |
5,078 | The impact of perceived and internalised stigma on clinical and functional recovery among people with mental illness | The present study aimed to develop and validate a conceptual model linking public and internalised stigma to recovery attitudes, processes and outcomes among people with mental illness. Specifically, we sought to examine whether perceptions of public stigma (i.e., perceived stigma) would affect experiences of internalised stigma (i.e., self-stigma) and thereby influence recovery attitudes (i.e., recovery orientation), recovery processes (i.e., service engagement) and recovery outcomes (i.e., clinical recovery and functional recovery). A total of 205 people with mental illness from Hong Kong, China, completed questionnaire measures on perceived stigma, self-stigma, recovery orientation, service engagement, clinical recovery and functional recovery. The associations among these variables were analysed using path analyses and bootstrap analyses. Path analyses showed that perceived stigma was related to greater self-stigma, which was, in turn, linked to lower recovery orientation and then lesser service engagement and ultimately poorer clinical recovery and functional recovery. Bootstrap analyses further demonstrated that perceived stigma had significant indirect effects on recovery orientation via self-stigma, on service engagement via self-stigma and recovery orientation and on clinical recovery and functional recovery via self-stigma, recovery orientation and service engagement. Theoretically, our findings reveal how public and internalised stigma may adversely affect recovery attitudes, processes and outcomes among people with mental illness. Practically, our findings point to the vital and urgent need to develop effective interventions to mitigate stigma and self-stigma at community and individual levels in order to reduce the deleterious impact of stigma on recovery. |
5,079 | Use of intraoperative coronary angiography to guide surgical intervention in coronary artery bypass graft surgery | Following coronary artery bypass graft surgery, graft patency is a major factor contributing to patient morbidity and mortality. There are several modalities available for assessing graft patency intra-op used by both the anesthesiologist and surgeon. However, these modalities have their own advantages and disadvantages which will be summarized in this case report. As illustrated by this case, angiography continues to be the gold standard for coronary anatomy assessment and can be performed easily using a portable digital fluoroscopic system. |
5,080 | Spatio-Temporal Feature Extraction/Recognition in Videos Based on Energy Optimization | Videos are spatio-temporally rich in static to dynamic objects/scenes, sparse to dense, and periodic to non-periodic motions. Particularly, the dynamic texture (DT) exhibits complex appearance and motion changes that remain a challenge to deal with. This paper presents an energy optimization method for feature extraction and recognition in videos. For noise and background jitter, the Tikhonov regularization with eigen-vector and Frenet-Serret formula-based energy constraints is also proposed. The different periodicity of DT can be adapted by the time-varying number of learning temporal frames. The optimal duration of an image sequence is determined from the temporal property of its eigen-values. Unlike the state-of-the-art recognition methods, i.e., sparse coding and slow feature analysis, the proposed method can capture the physical property of objects and scenes: velocity, acceleration, and orientation. Also, the static and dynamic image regions can be locally classified. Owing to these spatio-temporal features, stability, robustness, and accuracy of feature extraction and recognition are enhanced. Using DT videos, the superiority of the proposed method compared to the state-of-the-art recognition methods is experimentally shown. |
5,081 | Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition | In general image recognition problems, discriminative information often lies in local image patches. For example, most human identity information exists in the image patches containing human faces. The same situation stays in medical images as well. "Bodypart identity" of a transversal slice-which bodypart the slice comes from-is often indicated by local image information, e.g., a cardiac slice and an aorta arch slice are only differentiated by the mediastinum region. In this work, we design a multi-stage deep learning framework for image classification and apply it on bodypart recognition. Specifically, the proposed framework aims at: 1) discover the local regions that are discriminative and non-informative to the image classification problem, and 2) learn a image-level classifier based on these local regions. We achieve these two tasks by the two stages of learning scheme, respectively. In the pre-train stage, a convolutional neural network (CNN) is learned in a multi-instance learning fashion to extract the most discriminative and and non-informative local patches from the training slices. In the boosting stage, the pre-learned CNN is further boosted by these local patches for image classification. The CNN learned by exploiting the discriminative local appearances becomes more accurate than those learned from global image context. The key hallmark of our method is that it automatically discovers the discriminative and non-informative local patches through multi-instance deep learning. Thus, no manual annotation is required. Our method is validated on a synthetic dataset and a large scale CT dataset. It achieves better performances than state-of-the-art approaches, including the standard deep CNN. |
5,082 | K-Means-Based Multigroup Differential Evolution Optimization Framework for Design of MIMO Antenna With Decoupling Elements | A novel differential evolution optimization method named K-means-based multigroup differential evolution (KMGDE) framework is proposed for multiple-input-multiple-output (MIMO) antenna design. The KMGDE algorithm divides the population into three groups using the K-means clustering method in each iteration. Different mutation strategies are assigned for each group according to its average fitness value. The groups are then combined for crossover operation with an adaptive crossover rate value to balance local search and global search. The fitness function considering the characteristics of the MIMO antenna is proposed to speed up optimization. The performance of the proposed method is evaluated and compared with six state-of-the-art optimization algorithms using an MIMO antenna example. The optimization results and the experimental results show that the proposed KMGDE algorithm has a faster convergence than state-of-the-art optimization algorithms, which significantly improves the efficiency of MIMO antenna design. |
5,083 | Art-Science Collaborative Competencies: A Mixed-Methods Pilot Study for Improving Problem Solving for Sustainability Challenges | The complexity and interconnectedness of sustainability issues has led to the joining of disciplines. This effort has been primarily within the sciences with minimal attention given to the relationship between science and art. The exclusion of art is problematic since sustainability challenges are not only scientific and technical; they are also cultural, so the arts, as shapers of culture, are critical components that warrant representation. Hence, it stands to reason that understanding art-science integration will benefit sustainability's focus on use-inspired basic research. In this paper, we focus on artist-scientist team dynamics and the impact of those team dynamics on the quality of their outputs, in service of gleaning insight into how interdisciplinary teams can better work together to address sustainability challenges. In other words, we ask the question "How do art-science teams reason together, validate ideas, and produce robust outcomes when facing a task related to complex socio-ecological systems, which sit at the crux of sustainability challenges?" To address this question, we conducted a small-group pilot study of artist-scientist teams tasked with developing interpretive signage for the Tres Rios wetland site. We collected survey and ethnographic data to account for intra- and interpersonal interactions in teams. Specifically, this study focuses on variables we call barriers or carriers, which aid or hinder the collaborative interactions of deeply diverse teams. We found that successful art-science collaborations appear to result in improved communication skills, better problem articulation, more creative problem solving, and the questioning of personal and disciplinary mental models. |
5,084 | Enhanced conversion of induced neuronal cells (iN cells) from human fibroblasts: Utility in uncovering cellular deficits in mental illness-associated chromosomal abnormalities | The novel technology of induced neuronal cells (iN cells) is promising for translational neuroscience, as it allows the conversion of human fibroblasts into cells with postmitotic neuronal traits. However, a major technical barrier is the low conversion rate. To overcome this problem, we optimized the conversion media. Using our improved formulation, we studied how major mental illness-associated chromosomal abnormalities may impact the characteristics of iN cells. We demonstrated that our new iN cell culture protocol enabled us to obtain more precise measurement of neuronal cellular phenotypes than previous iN cell methods. Thus, this iN cell culture provides a platform to efficiently obtain possible cellular phenotypes caused by genetic differences, which can be more thoroughly studied in research using other human cell models such as induced pluripotent stem cells. |
5,085 | Six years of continuous mechanical circulatory support following chronic graft failure | Re-transplantation is the preferred treatment for patients with chronic heart transplant failure. If re-transplantation is not a viable option due to the patient's comorbidities, left ventricle assist device can be used as the destination treatment. An interdisciplinary approach with thorough follow-up can help in the early detection and treatment of complications associated with LVAD. |
5,086 | ParIS plus : Data Series Indexing on Multi-Core Architectures | Data series similarity search is a core operation for several data series analysis applications across many different domains. Nevertheless, even state-of-the-art techniques cannot provide the time performance required for large data series collections. We propose ParIS and ParIS+, the first disk-based data series indices carefully designed to inherently take advantage of multi-core architectures, in order to accelerate similarity search processing times. Our experiments demonstrate that ParIS+ completely removes the CPU latency during index construction for disk-resident data, and for exact query answering is up to 1 order of magnitude faster than the current state of the art index scan method, and up to 3 orders of magnitude faster than the optimized serial scan method. ParIS+ (which is an evolution of the ADS+ index) owes its efficiency to the effective use of multi-core and multi-socket architectures, in order to distribute and execute in parallel both index construction and query answering, and to the exploitation of the Single Instruction Multiple Data (SIMD) capabilities of modern CPUs, in order to further parallelize the execution of instructions inside each core. |
5,087 | Medical evacuations out of the U.S. Central and U.S. Africa Commands, active and reserve components, U.S. Armed Forces, 2021 | The proportions of evacuations out of USCENTCOM that were due to battle injuries declined substantially in 2021. For USCENTCOM, evacuations for mental health disorders were the most common, followed by non-battle injury and poisoning, and signs, symptoms, and ill-defined conditions. For USAFRICOM, evacuations for non-battle injury and poisoning were most common, followed by disorders of the digestive system and mental health disorders. |
5,088 | The weights initialization methodology of unsupervised neural networks to improve clustering stability | A study on initialization of connection weights of neural networks is expected to be needed because various deep neural networks based on deep learning have attracted much attention recently. However, studies on the relation between the output value of the active function and the learning performance of the neural network with respect to the connection weight value have been conducted mainly on the supervised learning model. This paper focused on improving the efficiency of autonomous neural network model by studying the connection weight initialization as the neural network model of supervised learning. Adaptive resonance theory (ART) is a major model of autonomous neural network that tries to solve the stability-plasticity dilemma by using bottom-up weights and top-down weights. The conventional weights initialization method of ART was to uniformly set all weights, but the proposed method is to initialize by using pre-trained weights. Experiments show that the ART, which initializes the connectivity weights through the proposed method, performs clustering more reliably. |
5,089 | [Bowel Sounds Detection Method and Experiment Based on Multi-feature Combination] | Bowel sounds is an important indicator to monitor and reflect intestinal motor function, and traditional manual auscultation requires high professional knowledge and rich clinical experience of doctors. In addition, long-time auscultation is time-consuming and laborious， which may lead to misjudgment caused by subjective error. To solve the problem, firstly, the wavelet transform is used to preprocess the bowel sounds signal for noise reduction and enhancement. Secondly, three typical features of intestinal sound were extracted. According to the combination of these features, a three-stage decision was designed to carry out multi-parameter and multi-feature joint threshold detection. This algorithm realized the detection of bowel sound signal and the location of its start and end points, making it possible that the complete bowel sound signal was extracted effectively. In this study, a large number of clinical data and label of bowel sounds were collected, and a new effective evaluation method was proposed to verify the proposed method. The accuracy rate is 83.51%. Results of this study will provide systematic support and theoretical guarantee for the diagnosis of intestinal diseases and the monitoring of postoperative intestinal function recovery of patients. |
5,090 | Place-Sensing through Haptic Interfaces: Proposing an Alternative to Modern Sustainability Education | In this article we address the issue of how an instrumental approach to sustainability education has dominated the scientific debate of the last 20 years. By conducting interviews and focus group interviews, we have investigated a community arts initiative in the Flemish city of Antwerp in which artists together with local inhabitants engaged in activities around two art installations and address the sustainability of a particular living environment. Our empirical study of this place-based initiative that we call a 'critical zone observatory' has been enriched by the work of Bruno Latour, Richard Sennett and Hans Schildermans. We conclude that a temporal and spatial shift in sustainability education (research) is needed from (1) development (a steady movement towards a planned future) and (2) human stewardship (the capability of people to shape their passive living environments) to (1) what we call co-sperity (a collective hope in the present) and (2) inhabitation (an attached and undetermined engagement with the dynamic of one's habitat). By proposing a collective study pedagogy as an alternative to individual training, we suggest a need for future research on critical zone observatories. |
5,091 | Stable Overlapping Replicator Dynamics for Brain Community Detection | A fundamental means for understanding the brain's organizational structure is to group its spatially disparate regions into functional subnetworks based on their interactions. Most community detection techniques are designed for generating partitions, but certain brain regions are known to interact with multiple subnetworks. Thus, the brain's underlying subnetworks necessarily overlap. In this paper, we propose a technique for identifying overlapping subnetworks from weighted graphs with statistical control over false node inclusion. Our technique improves upon the replicator dynamics formulation by incorporating a graph augmentation strategy to enable subnetwork overlaps, and a graph incrementation scheme for merging subnetworks that might be falsely split by replicator dynamics due to its stringent mutual similarity criterion in defining subnetworks. To statistically control for inclusion of false nodes into the detected subnetworks, we further present a procedure for integrating stability selection into our subnetwork identification technique. We refer to the resulting technique as stable overlapping replicator dynamics (SORD). Our experiments on synthetic data show significantly higher accuracy in subnetwork identification with SORD than several state-of-the-art techniques. We also demonstrate higher test-retest reliability in multiple network measures on the Human Connectome Project data. Further, we illustrate that SORD enables identification of neuroanatomically-meaningful subnetworks and network hubs. |
5,092 | Detection and characterisation of microplastics and microfibres in fishmeal and soybean meal | Aquaculture is an increasingly important source of nutrition for global food security, which is reliant on animal- and plant-based feeds. Anthropogenic particles, including microplastics and semi-synthetic cellulosic fibres, are prolific marine pollutants that are readily consumed by marine organisms, including small pelagic fish commonly used in fishmeal. Conversely, there is no indication plants can accumulate anthropogenic microparticles. We explore whether aquaculture feed presents a route of contamination for farmed fish. Commercially-sourced aquaculture feedstocks, including fishmeals and soybean meal, were processed (KOH digestion and ZnCl2 density separation) and anthropogenic particles characterised using microscopy and spectroscopic methods. Both fishmeal and soybean meals contained anthropogenic particles, with concentrations ranging 1070-2000 particles kg-1. The prevalence of anthropogenic particles in plant-based feeds indicates that the majority of contamination occurs post-harvest. Based on our findings, farmed Atlantic salmon may be exposed to a minimum of 1788-3013 anthropogenic particles from aquaculture feed across their commercial lifespan. |
5,093 | VPS-SLAM: Visual Planar Semantic SLAM for Aerial Robotic Systems | Indoor environments have abundant presence of high-level semantic information which can provide a better understanding of the environment for robots to improve the uncertainty in their pose estimate. Although semantic information has proved to be useful, there are several challenges faced by the research community to accurately perceive, extract and utilize such semantic information from the environment. In order to address these challenges, in this paper we present a lightweight and real-time visual semantic SLAM framework running on board aerial robotic platforms. This novel method combines low-level visual/visual-inertial odometry (VO/VIO) along with geometrical information corresponding to planar surfaces extracted from detected semantic objects. Extracting the planar surfaces from selected semantic objects provides enhanced robustness and makes it possible to precisely improve the metric estimates rapidly, simultaneously generalizing to several object instances irrespective of their shape and size. Our graph-based approach can integrate several state of the art VO/VIO algorithms along with the state of the art object detectors in order to estimate the complete 6DoF pose of the robot while simultaneously creating a sparse semantic map of the environment. No prior knowledge of the objects is required, which is a significant advantage over other works. We test our approach on a standard RGB-D dataset comparing its performance with the state of the art SLAM algorithms. We also perform several challenging indoor experiments validating our approach in presence of distinct environmental conditions and furthermore test it on board an aerial robot. Video: https://vimeo.com/368217703 Released Code: https://bitbucket.org/hridaybavle/semantic_slam.git |
5,094 | Structure of the BoNT/A1--receptor complex | Botulinum neurotoxin A causes botulism but is also used for medical and cosmetic applications. A detailed molecular understanding of BoNT/A--host receptor interactions is therefore fundamental for improving current clinical applications and for developing new medical strategies targeting human disorders. Towards this end, we recently solved an X-ray crystal structure of BoNT/A1 in complex with its neuronal protein receptor SV2C. Based on our findings, we discuss the potential implications for BoNT/A function. |
5,095 | High Performance Adaptive Algorithms for Single-Group Multicast Beamforming | The single-group multicast beamforming problem is NP-hard, and the available approximations do not always achieve favorable performance-complexity tradeoffs. This paper introduces a new class of adaptive multicast beamforming algorithms that features guaranteed convergence and state-of-the-art performance at low complexity. Each update takes a step in the direction of an inverse signal-to-noise ratio (SNR) weighted linear combination of the SNR-gradient vectors of all the users. Convergence of this update to a Karush-Kuhn-Tucker (KKT) point of proportionally fair beamforming is established. Simulations show that the proposed approach can enable better performance than the prior state-of-art in terms of multicast rate, at considerably lower complexity. This reveals an interesting link between max-min-fair and proportionally fair multicast beamforming formulations. For cases where there is no initial channel state information at the transmitter, an online algorithm is developed that simultaneously learns the user channel correlation matrices and adapts the beamforming vector to maximize the minimum (long-term average) SNR among the users, using only periodic binary SNR feedback from each receiver. The online algorithm uses the analytic center cutting plane method to quickly learn the user correlation matrices with limited signaling overhead. |
5,096 | Quality of Life and Conformity to Gender Norms in Women Receiving Assisted Reproductive Technologies as a Potential Indicator of Mental Health | The prevalence of depression, stress, or anxiety in people receiving assisted reproductive technologies (ART) has been demonstrated. However, knowledge about the influence of gender norms on quality of life (QofL) during infertility treatment is limited. The main objective of this study was to confirm that patients undergoing ART present a vulnerable mental state, which may be an indicator of risk. For this purpose, a quasi-experimental cross-sectional study was carried out in the Assisted Reproduction Unit of the Hospital Politecnico Universitario de la Fe (Spain) in which a total of 438 women participated: 256 in pre-treatment and 182 in treatment. Two questionnaires were administered, FertiQol and CFNI-23, assessing self-perceived QofL and conformity to gender norms, respectively. The results showed significant differences between the pre-treatment and treatment groups on the FertiQol and its subscales. Significant associations were also found between the CFNI-23 factors and the FertiQol subscales. The results suggest that gender norms and ART interfere with women's mental health and QofL and should be considered as possible risk indicators by professionals preventively before the prenatal or perinatal stages. Future research should design prospective studies aimed at estimating the impact of clinical and sociodemographic variables on women and other groups receiving ART. |
5,097 | A New Robust Approach for Reversible Database Watermarking with Distortion Control | Nowadays information is crucial in many fields such as medicine, science and business, where databases are used effectively for information sharing. However, the databases face the risk of being pirated, stolen or misused, which may result in a lot of security threats concerning ownership rights, data tampering and privacy protection. Watermarking is utilized to enforce ownership rights on shared relational databases. Many reversible watermarking methods are proposed recently to protect rights of owners along with recovering original data. Most state-of-the-art methods modify the original data to a large extent, result in data quality degradation, and cannot achieve good balance between robustness against malicious attacks and data recovery. In this paper, we propose a robust and reversible database watermarking technique, Genetic Algorithm and Histogram Shifting Watermarking (GAHSW), for numerical relational database. The genetic algorithm is used to select the best secret key for grouping database, where the watermarking can be embedded with balanced distortion and capacity. The histogram of the prediction error is shifted to embed the watermark with good robustness. Experimental results demonstrate the effectiveness of GAHSW and show that it outperforms state-of-the-art approaches in terms of robustness against malicious attacks and preservation of data quality. |
5,098 | Deep Multi-View Feature Learning for Person Re-Identification | Person re-identification aims to identify the same pedestrians across different camera views at different locations. This important yet difficult intelligent video analysis problem remains a vigorous area of research due to demands for performance improvements. Person re-identification involves two main steps: feature representation and metric learning. Handcrafted features, such as color and texture histograms, are frequently used for person re-identification, but most handcrafted features are limited by not being directly applicable to practical problems. Deep learning methods have obtained the state-of-the-art performance in a wide variety of applications, including image annotation, face recognition, and speech recognition. However, deep learning features are heavily dependent on large-scale labeling of samples. In this paper, by utilizing the Cross-view Quadratic Discriminant Analysis (XQDA) metric learning, we propose a novel scheme called deep multi-view feature learning (DMVFL), which exploits the collaboration between handcrafted and deep learning features in a simple but effective way. Furthermore, we prove that the XQDA is a robust algorithm. Extensive experiments on two challenging person re-identification data sets (VIPeR and GRID) demonstrate that DMVFL improves on current state-of-the-art methods. |
5,099 | Parallel evolution of semicircular canal form and sensitivity in subterranean mammals | The vertebrate vestibular system is crucial for balance and navigation, and the evolution of its form and function in relation to species' lifestyle and mode of locomotion has been the focus of considerable recent study. Most research, however, has concentrated on aboveground mammals, with much less published on subterranean fauna. Here, we explored variation in anatomy and sensitivity of the semicircular canals among 91 mammal species, including both subterranean and non-subterranean representatives. Quantitative phylogenetically informed analyses showed significant widening of the canals relative to radius of curvature in subterranean species. A relative canal width above 0.166 indicates with 95% certainty that a species is subterranean. Fluid-structure interaction modelling predicted that canal widening leads to a substantial increase in canal sensitivity; a reasonably good estimation of the absolute sensitivity is possible based on the absolute internal canal width alone. In addition, phylogenetic comparative modelling and functional landscape exploration revealed repeated independent evolution of increased relative canal width and anterior canal sensitivity associated with the transition to a subterranean lifestyle, providing evidence of parallel adaptation. Our results suggest that living in dark, subterranean tunnels requires good balance and/or navigation skills which may be facilitated by more sensitive semicircular canals. |
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