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2,300 | Sinkhorn Adversarial Attack and Defense | Adversarial attacks have been extensively investigated in the recent past. Quite interestingly, a majority of these attacks primarily work in the l(p) space. In this work, we propose a novel approach for generating adversarial samples using Wasserstein distance. Unlike previous approaches, we use an unbalanced optimal transport formulation which is naturally suited for images. We first compute an adversarial sample using a gradient step and then project the resultant image into Wasserstein ball with respect to original sample. The attack introduces perturbation in the form of pixel mass distribution which is guided by a cost metric. Elaborate experiments on MNIST, Fashion-MNIST, CIFAR-10 and Tiny ImageNet demonstrate a sharp decrease in the performance of state-of-art classifiers. We also perform experiments with adversarially trained classifiers and show that our system achieves superior performance in terms of adversarial defense against several state-of-art attacks. Our code and pre-trained models are available at https://bit.ly/2SQBR4E. |
2,301 | RootsGLOH2: embedding RootSIFT 'square rooting' in sGLOH2 | This study introduces an extension of the sGLOH2 local image descriptor inspired by RootSIFT 'square rooting' as a way to indirectly alter the matching distance used to compare the descriptor vectors. The extended descriptor, named RootsGLOH2, achieved the best results in terms of matching accuracy and robustness among the latest state-of-the-art non-deep descriptors in recent evaluation contests dealing with both planar and non-planar scenes. RootsGLOH2 also achieves a matching accuracy very close to that obtained by the best deep descriptors to date. Beside confirming that 'square rooting' has beneficial effects on sGLOH2 as it happens on SIFT, experimental evidence shows that classical norm-based distances, such as the Euclidean and Manhattan distances, only provide suboptimal solutions to the problem of local image descriptor matching. This suggests matching distance design as a topic to investigate further in the near future. |
2,302 | Plenoptic Face Presentation Attack Detection | The vulnerability of current face recognition systems to presentation attacks significantly limits their application in biometrics. Herein, we present a passive presentation attack detection method based on a complete plenoptic imaging system which can derive the complete plenoptic function of light rays using a single detector. Moreover, we constructed a multi-dimensional face database with 50 subjects and seven different types of presentation attacks. We experimentally demonstrated that our approach outperforms the state-of-the-art methods on all types of presentation attacks. |
2,303 | Physical and Sedentary Activities in Association with Reproductive Outcomes among Couples Seeking Infertility Treatment: A Prospective Cohort Study | Background: The aim of this study was to investigate the association of physical activity (PA) with assisted reproductive technology (ART) treatment and pregnancy outcomes among couples seeking infertility treatment. Methods: This prospective cohort study was carried out among 128 infertile individuals (64 couples), entering the infertility clinic for ART procedures. Baseline PA (before entering any treatment) was assessed using accelerometry for both women and men. For every couple the infertility treatment outcomes were recorded. Results: The couples that required invasive ART procedures such as in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) spent less time in vigorous PA (-73 min/week per couple, woman + man) than those couples who became spontaneously pregnant after entering the study (p = 0.001). We observed no significant associations between the time spent in physical activities and positive pregnancy test or live birth. Conclusions: Our results do not support a positive nor negative relation between the time the couples spent in physical activities and the chances of getting pregnant or having a baby among patients seeking infertility treatment. However, couples undergoing invasive ART procedures did less vigorous PA than couples that became spontaneously pregnant, suggesting that PA may interfere with their reproductive health. |
2,304 | Patterns of Population Structure and Introgression Among Recently Differentiated Drosophila melanogaster Populations | Despite a century of genetic analysis, the evolutionary processes that have generated the patterns of exceptional genetic and phenotypic variation in the model organism Drosophila melanogaster remains poorly understood. In particular, how genetic variation is partitioned within its putative ancestral range in Southern Africa remains unresolved. Here, we study patterns of population genetic structure, admixture, and the spatial structuring of candidate incompatibility alleles across a global sample, including 223 new accessions, predominantly from remote regions in Southern Africa. We identify nine major ancestries, six that primarily occur in Africa and one that has not been previously described. We find evidence for both contemporary and historical admixture between ancestries, with admixture rates varying both within and between continents. For example, while previous work has highlighted an admixture zone between broadly defined African and European ancestries in the Caribbean and southeastern USA, we identify West African ancestry as the most likely African contributor. Moreover, loci showing the strongest signal of introgression between West Africa and the Caribbean/southeastern USA include several genes relating to neurological development and male courtship behavior, in line with previous work showing shared mating behaviors between these regions. Finally, while we hypothesized that potential incompatibility loci may contribute to population genetic structure across the range of D. melanogaster; these loci are, on average, not highly differentiated between ancestries. This work contributes to our understanding of the evolutionary history of a key model system, and provides insight into the partitioning of diversity across its range. |
2,305 | Assessing SIRT7 Activity In Vivo and In Vitro in Response to DNA Damage | The class III histone deacetylase (HDACs) also known as sirtuins (SIRTs 1-7) are ubiquitously expressed, but SIRT7 mainly resides as nucleolar protein. In this chapter a couple of methods are described that are used to detect modulation of SIRT7 in response to DNA damage. SIRT7 is localized in the nucleoli and binds to the chromatin after DNA damage. Therefore, a protocol was optimized by our lab for chromatin fractionation. By this method, the movement of SIRT7 can be detected from the soluble part (cytosol+nucleoplasm) to the solid part (chromatin) of the cell. Change of SIRT7 expression levels, in different cells or after different treatment, can be detected by isolating whole-cell lysate followed by Western blotting. For analyzing binding of SIRT7 to other substrates, we have also optimized manual immunoprecipitation assays by using 1% NP40 buffer. This protocol is very helpful to pull down SIRT7 and associated proteins by using a single buffer. SIRT7 is a deacetylase, and its deacetylation activity can be checked both inside the cell by in vivo deacetylation assay and outside the cell by in vitro deacetylation assays. Recently it was also discovered that SIRT7 has desuccinylase activity which can be detected by histone desuccinylation assay. This chapter provides the methodology of SIRT7 detection in the whole cell lysate, binding of SIRT7 to the chromatin and other proteins for performing deacetylation and desuccinylation activity. |
2,306 | The complete chloroplast genome sequences of three lilies: genome structure, comparative genomic and phylogenetic analyses | We sequenced and analyzed the complete chloroplast genomes of Lilium amoenum, Lilium souliei, and Nomocharis forrestii in detail, including the first sequence and structural comparison of Nomocharis forrestii. We found that the lengths and nucleotide composition of the three chloroplast genes showed little variation. The chloroplast genomes of the three Lilium species contain 87 protein coding genes (PCGs), 38 tRNAs, and 8 rRNA genes. The only difference is that Nomocharis forrestii had an additional infA pseudogene. In the sequence analysis of the Lilium chloroplast genomes, 216 SSRs, 143 pairs of long repeats, 571 SNPs, and 202 indels were detected. In addition, we identified seven hypervariable regions that can be used as potential molecular markers and DNA barcodes of Lilium through complete sequence alignment. The phylogenetic tree was constructed from the three chloroplast genome sequences of Lilium obtained here and 40 chloroplast genome sequences from the NCBI database (including 35 Lilium species, 4 Fritillaria species, and one species of Smilax). The analysis showed that the species clustering of the genus Lilium essentially conformed to the classical morphological classification system of Comber, but differences in the classification of individual species remained. In our report, we support the reclassification of Lilium henryi and Lilium rosthorniiy in the genus Lilium. In general, this study not only provides genome data for three Lilium species, but also provides a comparative analysis of the Lilium chloroplast genomes. These advances will help to identify Lilium species, clarify the phylogenetic analysis of the Lilium genus, and help to solve and improve the disputes and deficiencies in the traditional morphological classification. |
2,307 | Piper longum L.: A comprehensive review on traditional uses, phytochemistry, pharmacology, and health-promoting activities | Piper longum (family Piperaceae), commonly known as "long-pepper" or "Pippali" grows as a perennial shrub or as an herbaceous vine. It is native to the Indo-Malaya region and widely distributed in the tropical and subtropical world including the Indian subcontinent, Sri Lanka, Middle-East, and America. The fruits are mostly used as culinary spice and preservatives and are also a potent remedy in various traditional medicinal systems against bronchitis, cough, cold, snakebite, and scorpion-sting and are also used as a contraceptive. Various bioactive-phytochemicals including alkaloids, flavonoids, esters, and steroids were identified from the plant extracts and essential oils from the roots and fruits were reported as antimicrobial, antiparasitic, anthelminthic, mosquito-larvicidal, antiinflammatory, analgesic, antioxidant, anticancer, neuro-pharmacological, antihyperglycaemic, hepato-protective, antihyperlipidaemic, antiangiogenic, immunomodulatory, antiarthritic, antiulcer, antiasthmatic, cardioprotective, and anti-snake-venom agents. Many of its pharmacological properties were attributed to its antioxidative and antiinflammatory effects and its ability to modulate a number of signalling pathways and enzymes. This review comprehensively encompasses information on habit, distribution, ethnobotany, phytochemistry, and pharmacology of P. longum in relation to its medicinal importance and health benefits to validate the traditional claims supported by specific scientific experiments. In addition, it also discusses the safety and toxicity studies, application of green synthesis and nanotechnology as well as clinical trials performed with the plant also elucidating research gaps and future perspectives of its multifaceted uses. |
2,308 | UESTS: An Unsupervised Ensemble Semantic Textual Similarity Method | Semantic textual similarity (STS) is the task of assessing the degree of similarity between two texts in terms of meaning. Several approaches have been proposed in the literature to determine the semantic similarity between texts. The most promising work recently presented in the literature was supervised approaches. Unsupervised STS approaches are characterized by the fact that they do not require learning data, but they still suffer from some limitations. Word alignment has been widely used in the state-of-the-art approaches. From this point, this paper has three contributions. First, a new synset-oriented word aligner is presented, which relies on a huge multilingual semantic network named BabelNet. Second, three unsupervised STS approaches are proposed: string kernel-based (SK), alignment-based (AL), and weighted alignment-based (WAL). Third, some limitations of the state-of-the-art approaches are tackled, and different similarity methods are demonstrated to be complementary with each other by proposing an unsupervised ensemble STS (UESTS) approach. The UESTS incorporates the merits of four similarity measures: proposed alignment-based, surface-based, corpus-based, and enhanced edit distance. The experimental results proved that the participation of the proposed aligner in STS is effective. Over all the evaluation data sets, the proposed UESTS outperforms the state-of-the-art unsupervised approaches, which is a promising result. |
2,309 | Prehistoric Bird Watching in Southern Iberia? The Rock Art of Tajo de las Figuras Reconsidered | This paper studies the relationship between humans and birds in the recent prehistory of the Southern Iberian Peninsula. With its high number of bird, mammal, and anthropomorphic paintings, a small rock shelter -Tajo de las Figuras- provides an excellent case study to address this topic. The cave is situated in an ecosystem that, as we will argue, favoured human-bird interactions and enabled prehistoric groups to engage with a diverse and rich bird community at particular times of the year. Even though the recorded depictions can generally be integrated into the wider 'Schematic' style regime characterising the recent prehistory of the region, they exhibit some outstanding features including a highly distinct naturalism. This naturalism enables us to identify the represented birds, not only at the family but also at the species level. Our contribution describes these pictorial data and contextualises them with the ecology, archaeology, and archaeozoology of the area. We intend to show that the singularity of the image-corpus registered at Tajo de las Figuras mirrors the unique conditions of human-bird interactions at the time. We suggest that the significance of the images derives from the special location of the cave in the wider landscape encouraging early practices of bird watching. |
2,310 | A general framework for time-aware decision support systems | In this paper we present a general framework for time-aware decision support systems. The framework uses the state-of-the-art tOWL language for the representation of temporal knowledge and enables temporal reasoning over the information that is represented in a knowledge base. Our approach uses state-of-the-art Semantic Web technology for handling temporal data. Through such an approach, the designer of a system can focus on the application intelligence rather than enforcing/checking data related restrictions manually. Also, there is an increased support for reuse of temporal reasoning tools across applications. We illustrate the applicability of our framework by building a market recommendations aggregation system. This system automatically collects market recommendations from online sources and, based on the past performance of the analysts that issued a recommendation, generates an aggregated recommendation in the form of a buy, hold, or sell advice. We illustrate the flexibility of our proposed system by implementing multiple methods for the aggregation of market recommendations. (C) 2012 Elsevier Ltd. All rights reserved. |
2,311 | Risk Factors for Interstage Mortality Following the Norwood Procedure: Impact of Sociodemographic Factors | Interstage mortality remains significant for patients undergoing staged palliation for hypoplastic left heart syndrome and other related single right ventricle malformations (HLV). The purpose of this study was to identify factors related to demographics, socioeconomic position, and perioperative course associated with post-Norwood hospital discharge, pre-stage 2, interstage mortality (ISM). Medical record review was conducted for patients with HLV, born from 1/2000 to 7/2009 and discharged alive following the Norwood procedure. Sociodemographic and perioperative factors were reviewed. Patients were determined to have ISM if they died between Norwood procedure hospital discharge and stage 2 palliation. Univariable and multivariable logistic regressions were performed to identify risk factors associated with ISM. A total of 273 patients were included in the analysis; ISM occurred in 32 patients (12%). Multivariable analysis demonstrated that independent risk factors for interstage mortality included teen mothers [adjusted odds ratio (AOR) 6.6, 95% confidence interval (CI) 1.9-22.5], single adult caregivers (AOR 4.1, 95% CI 1.2-14.4), postoperative dysrhythmia (AOR 2.7, 95% CI 1.1-6.4), and longer ICU stay (AOR 2.7, 95% CI 1.2-6.1). Anatomic and surgical course variables were not associated with ISM in multivariable analysis. Patients with HLV are at increased risk of ISM if born to a teen mother, if they lived in a home with only one adult caregiver, suffered a postoperative dysrhythmia, or experienced a prolonged ICU stay. These risk factors are identifiable, and thus these infants may be targeted for interventions to reduce ISM. |
2,312 | SWIN transformer based contrastive self-supervised learning for animal detection and classification | The subdomain of computer vision applications is Image Classification which helps in categorizing the images. The advent of handheld devices and image sensors leads to the availability of a huge amount of data without labels. Hence, to categorize these images, a supervised learning algorithm won't be suitable as it requires labels. On the other hand, unsupervised learning uses clustering that also not useful as its accuracy is not reliable as the data are not labeled in advance. Self-Supervised Learning techniques can be used to overcome this problem. In this work, we present a novel Swin Transformer based Contrastive Self-Supervised Learning (Swin-TCSSL), where the paired sample is formed using the transformation of the given input image and this paired sample is passed to the Swin-T transformer which produces a feature vector. The maximum Mutual Information of these feature vectors is used to form robust clusters and these cluster labels get propagates to the Swin Transformer block until the appropriate clusters are obtained. It is then followed by contrastive learning and finally produces the classified output. The experimental results prove that the proposed system is invariant to occlusion, viewpoint variation, and illumination effects. The proposed Swin-TSSCL achieves state-of-the-art results in 5 benchmark datasets namely CIFAR-10, Snapshot Serengeti, Stanford dogs, Animals with attributes, and ImageNet dataset. As evident from the rigorous experiments, the proposed Swin-TCSSL has set a new global state-of-the-art with an average accuracy of 97.63%, which is comparatively higher than the state-of-the-art systems. |
2,313 | Pricing Theater Seats: The Value of Price Commitment and Monotone Discounting | We examine the value of price commitment in a non-profit organization using individual-level purchases over a series of concert performances. To decide on a pricing policy, the performing arts organization must be able to accurately measure when each ticket will be sold and what type of audience will purchase the tickets for each performance. We use a competing hazards framework to model the timing of ticket purchases when customer segments differ in their valuations and arrival times. We show that the customer purchase likelihoods change based on the prices observed earlier in the season. Hence, price commitment can aid in improving sales, revenues, and customer visits. In particular, we show that price commitment to a decreasing monotone discount policy can improve the revenues in the range 2.1%-6.7% per concert. |
2,314 | Martial Arts, Dancing and Sports dataset: A challenging stereo and multi-view dataset for 3D human pose estimation | Human pose estimation is one of the most popular research topics in the past two decades, especially with the introduction of human pose datasets for benchmark evaluation. These datasets usually capture simple daily life actions. Here, we introduce a new dataset, the Martial Arts, Dancing and Sports (MADS), which consists of challenging martial arts actions (Tai-chi and Karate), dancing actions (hip-hop and jazz), and sports actions (basketball, volleyball, football, rugby, tennis and badminton). Two martial art masters, two dancers and an athlete performed these actions while being recorded with either multiple cameras or a stereo depth camera. In the multi-view or single-view setting, we provide three color views for 2D image-based human pose estimation algorithms. For depth-based human pose estimation, we provide stereo-based depth images from a single view. All videos have corresponding synchronized and calibrated ground-truth poses, which were captured using a Motion Capture system. We provide initial baseline results on our dataset using a variety of tracking frameworks, including a generative tracker based on the annealing particle filter and robust likelihood function, a discriminative tracker using twin Gaussian processes [1], and hybrid trackers, such as Personalized Depth Tracker [2]. The results of our evaluation suggest that discriminative approaches perform better than generative approaches when there are enough representative training samples, and that the generative methods are more robust to diversity of poses, but can fail to track when the motion is too quick for the effective search range of the particle filter. The data and the accompanying code will be made available to the research community. (C) 2017 Elsevier B.V. All rights reserved. |
2,315 | Development of an α-synuclein fibril and oligomer specific tracer for diagnosis of Parkinson's disease, dementia with Lewy bodies and multiple system atrophy | The development of specific disease-associated PET tracers is one of the major challenges, the realization of which in neurodegenerative diseases would enable not only the efficiency of diagnosis but also support the development of disease-modifying therapeutics. Parkinson's disease (PD) is the most common neurodegenerative movement disorder and is characterized by neuronal fibrillary inclusions composed of aggregated α-synuclein (α-syn). However, these deposits are not only found in PD, but also in other related diseases such as multiple system atrophy (MSA) and dementia with Lewy bodies (DLB), which are grouped under the term synucleinopathies. In this study, we used NGS-guided phage display selection to identify short peptides that bind aggregated α-syn. By surface plasmon resonance (SPR)-based affinity screening, we identified the peptide SVLfib-5 that recognizes aggregated α-syn with high complex stability and sequence specificity. Further analysis SPR showed that SVLfib-5 is not only specific for aggregated α-syn, but in particular recognizes fibrillary and oligomeric structures. Moreover, fluorescence microscopy of human brain tissue sections from PD, MSA, and DLB patients with SVLfib-5 allowed specific recognition of α-syn and a clear discrimination between diseased and non-diseased samples. These findings provide the basis for the further development of an α-syn PET tracer for early diagnosis and monitoring of disease progression and therapy progress. |
2,316 | Microvesicle-inspired oxygen-delivering nanosystem potentiates radiotherapy-mediated modulation of tumor stroma and antitumor immunity | The efficacy of radiotherapy is greatly challenged by intense hypoxia, intricate stroma and suppressive immune microenvironments in tumors. Herein, we rationally designed a microvesicle-inspired oxygen-delivering polyfluorocarbon nanosystem loading DiIC18(5) and halofuginone (M-FDH) with prominent capacity of improving tumor oxygenation and intratumor distribution, synergizing radiation to disrupt tumor stroma and boost antitumor immunity for combinational cancer therapy. M-FDH produced a 10.98-fold enhancement of tumor oxygenation and caused efficient production of reactive oxygen species (ROS) upon radiation. M-FDH + X ray treatment resulted in notable DNA damages, over 90% elimination of cancer-associated fibroblasts (CAFs) and major components of extracellular matrix, significant enhancement of tumoricidal CD3+CD8+ T cells, and profound elimination of suppressive immune cells in 4T1 tumors. The therapeutic benefits of M-FDH + X ray on suppressing tumor growth were confirmed in two murine tumor models. Therefore, this study provides an encouraging microvesicle-inspired strategy to target cancer cells and CAFs in tumors and synergize radiotherapy for effective cancer treatment. |
2,317 | One-step backtracking for occlusion detection in real-time visual tracking | Occlusion is a challenging problem in real-time visual object tracking. Most state-of-the-art methods learn the inaccurate appearance of the target when it becomes occluded by other objects in the scene. To address this issue, a novel one-step backtracking (OB) tracker for occlusion detection is proposed, which backtracks to one previous frame and detects occlusion by comparing the tracking result with OB result in each frame. An adaptive learning model update scheme is further proposed by computing the peak-to-sidelobe ratio of the response maps to improve the tracking performance. Experiments on several benchmark sequences show that the proposed tracker outperforms state-of-the-art approaches and achieves real-time visual tracking. |
2,318 | M-estimators for robust multidimensional scaling employing l(2,1) norm regularization | Multidimensional Scaling (MDS) has been exploited to visualise the hidden structures among a set of entities in a reduced dimensional metric space. Here, we are interested in cases whenever the initial dissimilarity matrix is contaminated by outliers. It is well-known that the state-of-the-art algorithms for solving the MDS problem generate erroneous embeddings due to the distortion introduced by such outliers. To remedy this vulnerability, a unified framework for the solution of MDS problem is proposed, which resorts to half-quadratic optimization and employs potential functions of M-estimators in combination with 2,1 norm regularization. Two novel algorithms are derived. Their performance is assessed for various M-estimators against state-of-the-art MDS algorithms on four benchmark data sets. The numerical tests demonstrate that the proposed algorithms perform better than the competing alternatives. (C) 2017 Elsevier Ltd. All rights reserved. |
2,319 | Insulin Downregulates the Expression of ATP-binding Cassette Transporter A-I in Human Hepatoma Cell Line HepG2 in a FOXO1 and LXR Dependent Manner | ATP-binding cassette transporter A-I (ABCA1) is an ubiquitously expressed protein whose main function is the transmembrane transport of cholesterol and phospholipids. Synthesis of ABCA1 protein in liver is necessary for high-density lipoprotein (HDL) formation in mammals. Thus, the mechanism of ABCA1 gene expression regulation in hepatocytes are of critical importance. Recently, we have found the insulin-dependent downregulation of other key player in the HDL formation-apolipoprotein A-I gene (J. Cell. Biochem., 2017, 118:382-396). Nothing is known about the role of insulin in the regulation of ABCA1 gene. Here we show for the first time that insulin decreases the mRNA and protein levels of ABCA1 in human hepatoma cell line HepG2. PI3K, p38, MEK1/2, JNK and mTORC1 signaling pathways are involved in the insulin-mediated downregulation of human ABCA1 gene. Transcription factors LXRα, LXRβ, FOXO1 and NF-κB are important contributors to this process, while FOXA2 does not regulate ABCA1 gene expression. Insulin causes the decrease in FOXO1, LXRα and LXRβ binding to ABCA1 promoter, which is likely the cause of the decrease in the gene expression. Interestingly, the murine ABCA1 gene seems to be not regulated by insulin in hepatocytes (in vitro and in vivo). We suggest that the reason for this discrepancy is the difference in the 5'-regulatory regions of human and murine ABCA1 genes. |
2,320 | TGM2-mediated histone transglutamination is dictated by steric accessibility | Recent studies have identified serotonylation of glutamine-5 on histone H3 (H3Q5ser) as a novel posttranslational modification (PTM) associated with active transcription. While H3Q5ser is known to be installed by tissue transglutaminase 2 (TGM2), the substrate characteristics affecting deposition of the mark, at the level of both chromatin and individual nucleosomes, remain poorly understood. Here, we show that histone serotonylation is excluded from constitutive heterochromatic regions in mammalian cells. Biochemical studies reveal that the formation of higher-order chromatin structures associated with heterochromatin impose a steric barrier that is refractory to TGM2-mediated histone monoaminylation. A series of structure-activity relationship studies, including the use of DNA-barcoded nucleosome libraries, shows that steric hindrance also steers TGM2 activity at the nucleosome level, restricting monoaminylation to accessible sites within histone tails. Collectively, our data indicate that the activity of TGM2 on chromatin is dictated by substrate accessibility rather than by primary sequence determinants or by the existence of preexisting PTMs, as is the case for many other histone-modifying enzymes. |
2,321 | Generative Model With Dynamic Linear Flow | Flow-based generative models are a family of exact log-likelihood models with tractable sampling and latent-variable inference, hence conceptually attractive for modeling complex distributions. However, flow-based models are limited by density estimation performance issues as compared to state-of-the-art autoregressive models. Autoregressive models, which also belong to the family of likelihood-based methods, however suffer from limited parallelizability. In this paper, we propose <italic>Dynamic Linear Flow (DLF)</italic>, a new family of invertible transformations with partially autoregressive structure. Our method benefits from the efficient computation of flow-based methods and high density estimation performance of autoregressive methods. We demonstrate that the proposed DLF yields state-of-the-art performance on ImageNet $32\times 32$ and $64\times 64$ out of all flow-based methods. Additionally, DLF converges significantly faster than previous flow-based methods such as Glow. |
2,322 | Classifying Maqams of Qur'anic Recitations Using Deep Learning | The Holy Qur'an is among the most recited and memorized books in the world. For beautification of Qur'anic recitation, almost all reciters around the globe perform their recitations using a specific melody, known as maqam in Arabic. However, it is more difficult for students to learn this art compared to other techniques of Qur'anic recitation such as Tajwid due to limited resources. Technological advancement can be utilized for automatic classification of these melodies which can then be used by students for self-learning. Using state-of-the-art deep learning algorithms, this research focuses on the classification of the eight popular maqamat (plural of maqam). Various audio features including Mel-frequency cepstral coefficients, spectral, energy and chroma features are obtained for model training. Several deep learning architectures including CNN, LSTM, and deep ANN are trained to classify audio samples from one of the eight maqamat. An accuracy of 95.7% on the test set is obtained using a 5-layer deep ANN which was trained using 26 input features. To the best of our knowledge, this is the first ever work that addresses maqam classification of Holy Qur'an recitations. We also introduce the "Maqam-478" dataset that can be used for further improvements on this work. |
2,323 | SLAP: A Secure and Lightweight Authentication Protocol for machine-to-machine communication in industry 4.0 | Fourth industrial revolution aims to provide a platform which enables machines to collect data, analyze them and make an appropriate decision. Machine-to-machine communication in industry 4.0 helps in better decision-making by monitoring and analyzing different real-time data. Internet Engineering Task Force defines a standard '6LoWPAN' to promote such type of machine-to-machine communication. Although 6LoWPAN attempts to solve important issues, security is not properly addressed and is a major concern during communication. To improve the security and efficiency in the existing state of the arts, we have proposed SLAP, a new secure and lightweight authentication protocol using only hash operation and XOR operation. Our analysis demonstrates that the proposed protocol is safe with respect to various known attacks (i.e., replay attack, man-in-the-middle attack, impersonation attack, modification attack, tracing attack) and efficient compared to the existing state of the arts. |
2,324 | CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation | Sufficient data with complete annotation is essential for training deep models to perform automatic and accurate segmentation of CT male pelvic organs, especially when such data is with great challenges such as low contrast and large shape variation. However, manual annotation is expensive in terms of both finance and human effort, which usually results in insufficient completely annotated data in real applications. To this end, we propose a novel deep framework to segment male pelvic organs in CT images with incomplete annotation delineated in a very user-friendly manner. Specifically, we design a hybrid loss network derived from both voxel classification and boundary regression, to jointly improve the organ segmentation performance in an iterative way. Moreover, we introduce a label completion strategy to complete the labels of the rich unannotated voxels and then embed them into the training data to enhance the model capability. To reduce the computation complexity and improve segmentation performance, we locate the pelvic region based on salient bone structures to focus on the candidate segmentation organs. Experimental results on a large planning CT pelvic organ dataset show that our proposed method with incomplete annotation achieves comparable segmentation performance to the state-of-the-art methods with complete annotation. Moreover, our proposed method requires much less effort of manual contouring from medical professionals such that an institutional specific model can be more easily established. |
2,325 | Automatic High-Level Data-Flow Synthesis and Optimization of Polynomial Datapaths Using Functional Decomposition | This paper concentrates on high-level data-flow optimization and synthesis techniques for datapath intensive designs such as those in Digital Signal Processing (DSP), computer graphics and embedded systems applications, which are modeled as polynomial computations over Z(2n1) x Z(2n2) x ... x Z(2nd) to Z(2m). Our main contribution in this paper is proposing an optimization method based on functional decomposition of multivariate polynomial in the form of f(x) = g(x) o h(x) + f(0) = g(h(x)) + f(0) to obtain good building blocks, and vanishing polynomials over Z(2m) to add/delete redundancy to/from given polynomial functions to extract further common sub-expressions. Experimental results for combinational implementation of the designs have shown an average saving of 38.85 and 18.85 percent in the number of gates and critical path delay, respectively, compared with the state-of-the-art techniques. Regarding the comparison with our previous works, the area and delay are improved by 10.87 and 11.22 percent, respectively. Furthermore, experimental results of sequential implementations have shown an average saving of 39.26 and 34.70 percent in the area and the latency, respectively, compared with the state-of-the-art techniques. |
2,326 | Sparse-plus-dense-RANSAC for estimation of multiple complex curvilinear models in 2D and 3D | The detection of multiple complex structures in noisy, outlier-rich two- and three-dimensional data is a challenging model estimation problem. In this paper, we build on the RANSAC method to select multiple model instances, focusing especially on curve estimation. Estimation of complex curves such as splines has so far received little attention in the context of model estimation, but has primarily been considered as a segmentation problem. Our proposed curve estimation is based on Sparse-Plus-Dense RANSAC, a framework in which estimation is performed on sparse points, guided by dense image data. This approach is extended to complex curvilinear models, in two- and three-dimensional data. The estimation is hierarchical, based on a merging step that uses an intuitive cost function. Results are presented on synthetic and real X-ray data, showing that the proposed approach performs comparably to state-of-the-art multiple model estimation in the synthetic data, while it significantly outperforms state-of-the-art in the real X-ray sequences. It also achieves correct localization of the model endpoints, which is a crucial aspect in the context of the clinical application. (C) 2012 Elsevier Ltd. All rights reserved. |
2,327 | Accounting for predator species identity reveals variable relationships between nest predation rate and habitat in a temperate forest songbird | Nest predation is the primary cause of nest failure in most ground-nesting bird species. Investigations of relationships between nest predation rate and habitat usually pool different predator species. However, such relationships likely depend on the specific predator involved, partly because habitat requirements vary among predator species. Pooling may therefore impair our ability to identify conservation-relevant relationships between nest predation rate and habitat. We investigated predator-specific nest predation rates in the forest-dependent, ground-nesting wood warbler Phylloscopus sibilatrix in relation to forest area and forest edge complexity at two spatial scales and to the composition of the adjacent habitat matrix. We used camera traps at 559 nests to identify nest predators in five study regions across Europe. When analyzing predation data pooled across predator species, nest predation rate was positively related to forest area at the local scale (1000 m around nest), and higher where proportion of grassland in the adjacent habitat matrix was high but arable land low. Analyses by each predator species revealed variable relationships between nest predation rates and habitat. At the local scale, nest predation by most predators was higher where forest area was large. At the landscape scale (10,000 m around nest), nest predation by buzzards Buteo buteo was high where forest area was small. Predation by pine martens Martes martes was high where edge complexity at the landscape scale was high. Predation by badgers Meles meles was high where the matrix had much grassland but little arable land. Our results suggest that relationships between nest predation rates and habitat can depend on the predator species involved and may differ from analyses disregarding predator identity. Predator-specific nest predation rates, and their relationships to habitat at different spatial scales, should be considered when assessing the impact of habitat change on avian nesting success. |
2,328 | A 0.83-mu W QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0.35-mu m CMOS | Healthcare electronics count on the effectiveness of the on-patient signal preprocessing unit to moderate the wireless data transfer for better power efficiency. In order to reduce the system power in long-time ECG acquisition, this work describes an on-patient QRS detection processor for arrhythmia monitoring. It extracts the concerned ECG part, i.e., the RR-interval between the QRS complex for evaluating the heart rate variability. The processor is structured by a scale-3 quadratic spline wavelet transform followed by a maxima modulus recognition stage. The former is implemented via a symmetric FIR filter, whereas the latter includes a number of feature extraction steps: zero-crossing detection, peak (zero-derivative) detection, threshold adjustment and two finite state machines for executing the decision rules. Fabricated in 0.35-mu m CMOS the 300-Hz processor draws only 0.83 mu W, which is favorably comparable with the prior arts. In the system tests, the input data is placed via an on-chip 10-bit SAR analog-to-digital converter, while the output data is emitted via an off-the-shelf wireless transmitter (TI CC2500) that is configurable by the processor for different data transmission modes: 1) QRS detection result, 2) raw ECG data or 3) both. Validated with all recordings from the MIT-BIH arrhythmia database, 99.31% sensitivity and 99.70% predictivity are achieved. Mode 1 with solely the result of QRS detection exhibits 6 x reduction of system power over modes 2 and 3. |
2,329 | N6-methyladenosine modification in trophoblasts promotes circSETD2 expression, inhibits miR-181a-5p, and elevates MCL1 transcription to reduce apoptosis of trophoblasts | Preeclampsia (PE) is an obstetric disorder. N6-methyladenosine (m6A) modification is related to PE trophoblast biological behaviors. This study explored the mechanism of m6A-modified circSETD2 in trophoblast biological behaviors. Chorionic trophoblast apoptosis and circSETD2 expression in PE rat models were detected. HTR8/SVneo cells were induced by CoCl2 to establish PE trophoblast models. circSETD2 was silenced or overexpressed to evaluate its effect on cell proliferation, invasion, and apoptosis. m6A level of circSETD2 in trophoblasts was changed by pcDNA3.1-METTL3 and pcDNA3.1-FTO. The targeting relations among miR-181a-5p, circSETD2, and MCL1 were verified by dual-luciferase assay. miR-181a-5p and MCL1 expressions were interfered with to confirm the effect of m6A-modified circSETD2. m6A methylation level was changed in PE rats for in vivo validation. PE rats showed diminished circSETD2 expression and increased apoptosis index. circSETD2 overexpression promoted trophoblast proliferation and invasion, and reduced apoptosis. METTL3 overexpression increased total m6A, circSETD2 m6A, and circSETD2 levels. m6A modification mediated circSETD2 upregulation. circSETD2 was a sponge of miR-181a-5p to elevate MCL1 transcription. miR-181a-5p overexpression or MCL1 silencing annulled the role of m6A-modified circSETD2. circSETD2 inhibition negated suppression of METTL3 overexpression on chorionic trophoblast apoptosis in vivo. Collectively, m6A modification of circSETD2 suppressed miR-181a-5p and increased MCL1 transcription, thus regulating trophoblasts. |
2,330 | How to interpret a meta-analysis? | There is an enormous and ever-growing quantity of healthcare information available and practitioners must transform it into knowledge to be able to use it in their clinical practice. Even readers who do not conduct scientific studies themselves need to understand the scientific method in detail to be able to critically evaluate scientific articles. Evidence-based healthcare (EBH) can be defined as the link between good scientific research and clinical practice and systematic reviews constitute one of the forms of research excellence proposed within EBH. Systematic reviews employ rigorous methods that reduce the occurrence of bias. Systematic reviews with meta-analyses generally optimize the results found, because quantitative analysis of the studies included in the review yields additional information. In this paper, we will discuss how to interpret a meta-analysis and how to apply subset and sensitivity analysis strategies and we will also describe possible sources of heterogeneity and common errors that can affect a meta-analysis. |
2,331 | Molecular Detection for Unconcentrated Gas With ppm Sensitivity Using 220-to-320-GHz Dual-Frequency-Comb Spectrometer in CMOS | Millimeter-wave/terahertz rotational spectroscopy of polar gaseous molecules provides a powerful tool for complicated gas mixture analysis. In this paper, a 220-to-320-GHz dual-frequency-comb spectrometer in 65-nm bulk CMOS is presented, along with a systematic analysis on fundamental issues of rotational spectrometer, including the impacts of various noise mechanisms, gas cell, molecular properties, detection sensitivity, etc. Our comb spectrometer, based on a high-parallelism architecture, probes gas sample with 20 comb lines simultaneously. It does not only improve the scanning speed by 20x, but also reduces the overall energy consumption to 90 mJ/point with 1 Hz bandwidth (or 0.5 s integration time). With its channelized 100-GHz scanning range and sub-kHz specificity, wide range of molecules can be detected. In the measurements, state-of-the-art total radiated power of 5.2 mW and single sideband noise figure of 14.6-19.5 dB are achieved, which further boost the scanning speed and sensitivity. Finally, spectro-scopic measurements for carbonyl sulfide (OCS) and acetonitrile (CH3CN) are presented. With a path length of 70 cm and 1 Hz bandwidth, the measured minimum detectable absorption coefficient reaches alpha(gas,min) = 7.2 x 10(-7) cm(-1). For OCS that enables a minimum detectable concentration of 11 ppm. The predicted sensitivity for some other molecules reaches ppm level (e.g., 3 ppm for hydrogen cyanide), or 10 ppt level if gas preconcentration with a typical gain of 10(5) is used. |
2,332 | Impact of negative pressure wound drainage compared with natural wound drainage after thyroid tumour surgery: A meta-analysis | We conducted a meta-analysis to compare the effectiveness of negative pressure wound drainage to that of spontaneous wound drainage after thyroid tumour surgery. A thorough analysis of the literature up to July 2022 revealed that, of the 1234 patients who used surgery for thyroid tumours, 615 used negative pressure wound drainage and 619 used natural wound drainage. To measure the influence of negative pressure wound drainage in comparison to natural wound drainage following thyroid tumour surgery, mean difference (MD) and odds ratio (OR) with 95% confidence intervals (CIs) were measured using the contentious and dichotomous approaches with a random or fixed-effect model. Subjects who used negative pressure wound drainage had significantly higher averages for drained material (OR, 12.52; 95% CI, 6.78-18.26, P = 0.001), shorter drain placement times (MD, -1.06; 95% CI, 1.57 to -0.55, P = .001), lower rates of infection at the surgical site (OR, 0.17; 95% CI, 0.05-0.60, P = .006), higher rates of wound healing (OR, 5.91; 95% CI, 1.56-22.34, P = .009), and lower rate of wound seroma (OR, 0.21; 95% CI, 0.10-0.42, P < .001) in subjects after thyroid tumour surgery in comparison to subjects who used natural wound drainage after thyroid tumour surgery. Those who used negative pressure wound drainage had significantly higher averages of drained material, shorter drain placement times, lower rates of wound infection at the surgical site, higher rates of wound healing, and lower rates of wound seroma. Care must be used when analysing the results because of the small sample size of 7 of the 13 studies included in the meta-analysis and the lack of studies in several comparisons. |
2,333 | Spinal CircKcnk9 Regulates Chronic Visceral Hypersensitivity of Irritable Bowel Syndrome | Dysregulation of circular RNAs (circRNAs) has been reported to be functionally associated with chronic pain, but it is unknown whether and how circRNAs participate in visceral hypersensitivity. The expression of circKcnk9 was increased in spinal neurons of irritable bowel syndrome (IBS)-like rats. ShcircKcnk9 attenuated visceral hypersensitivity and inhibited c-Fos expression in IBS-like rats, whereas overexpression of spinal circKcnk9 induced visceral hypersensitivity and increased c-Fos expression in control rats. Furthermore, circKcnk9 was found to act as a miR-124-3p sponge. MiR-124-3p antagomir restored pain responses downregulated by shcircKcnk9 in IBS-like rats. Finally, the signal transducer and activator of transcription 3 (STAT3), validated as a target of miR-124-3p, could play a critical role in visceral hypersensitivity by regulating NSF/GluR2. PERSPECTIVE: Spinal circKcnk9 functions as a miR-124-3p sponge to promote visceral hypersensitivity by regulating the STAT3/NSF/GluR2 pathway. This pathway might provide a novel epigenetic mechanism of visceral hypersensitivity and a potential circRNA therapeutic target for IBS. |
2,334 | High-performance semiconductor optical amplifier modules at 1300 nm | Semiconductor-based optical amplifiers (SOAs) offer solutions to a variety of amplification requirements covering operational wavelengths ranging from 600 to 1600 nm. This letter reports on the design and performance of buried heterostructure SOA modules exhibiting state-of-the-art performance within the 1300-nm operational window. The first, a high-gain variant, is optimized for preamplification applications while the second is designed for use as a booster amplifier. Record low noise figure performances for packaged devices are reported. |
2,335 | Sedimentary processes, metal enrichment and potential ecological risk of metals in lacustrine sediments of Svalbard, Arctic | The Svalbard archipelago is a glacial environment bestowed with various lakes that act as a natural archive for understanding environmental conditions. The accumulation of sediments in lake basins and their distribution are affected by different mechanisms. Therefore, to understand the distribution of sediments, factors controlling the transport and metal enrichment in the lake environment, core sediments were studied from four lakes (L-A, L-1, L-2 and L-3). Also, the potential ecological risk index (PERI) was computed to determine the impact of metal enrichment on the sediment-associated biota. The results obtained showed that the distribution of trace elements was mainly controlled by the major elements like Al, Ti, Fe, and Mn attributed to their lithogenic origin. Index of geoaccumulation (Igeo) of all four lakes showed a moderate level of enrichment of metals like Cr and Cd indicating an enhanced supply of these metals probably from the catchment rocks and anthropogenic activities. A comparison of metals with Arctic Sediment Quality Guidelines (ASQGs) showed that Cd, Cr and Cu were enriched in the sediments of all the cores indicating the occurrence of adverse biological effects. Furthermore, a potential ecological risk index (PERI) revealed high Cd indicating considerable potential ecological risk to the sediment-associated biota. Thus, trace element influx to the lakes needs to be monitored with due emphasis on Cd contamination. |
2,336 | Real-time Semantic Segmentation with Context Aggregation Network | With the increasing demand of autonomous systems, pixelwise semantic segmentation for visual scene understanding needs to be not only accurate but also efficient for potential real-time applications. In this paper, we propose Context Aggregation Network, a dual branch convolutional neural network, with significantly lower computational costs as compared to the state-of-the-art, while maintaining a competitive prediction accuracy. Building upon the existing dual branch architectures for high-speed semantic segmentation, we design a high resolution branch for effective spatial detailing and a context branch with light-weight versions of global aggregation and local distribution blocks, potent to capture both long-range and local contextual dependencies required for accurate semantic segmentation, with low computational overheads. We evaluate our method on two semantic segmentation datasets, namely Cityscapes dataset and UAVid dataset. For Cityscapes test set, our model achieves state-of-the-art results with mIOU of 75.9%, at 76 FPS on an NVIDIA RTX 2080Ti and 8 FPS on a Jetson Xavier NX. With regards to UAVid dataset, our proposed network achieves mIOU score of 63.5% with high execution speed (15 FPS). |
2,337 | Blockchain Interoperability in Unmanned Aerial Vehicles Networks: State-of-the-Art and Open Issues | The breakthrough of blockchain technology has facilitated the emergence and deployment of a wide range of unmanned aerial vehicles (UAV) networks-based applications. Yet, the full utilization of these applications is still limited due to the fact that each application is operating on an isolated blockchain. Thus, it is inevitable to orchestrate these blockchain fragments by introducing a cross-blockchain platform that governs the inter-communication and transfer of assets in the UAV networks context. In this paper, we survey the literature on the state-of-the-art cross blockchain frameworks to highlight the latest advances in the field. We also provide an up-to-date review of blockchain-based UAV networks applications. Based on the outcomes of our survey, we introduce a spectrum of scenarios related to UAV networks that may leverage the potentials of the currently available cross-blockchain solutions. Finally, we identify open issues and potential challenges associated with the application of a cross-blockchain scheme for UAV networks that will hopefully guide future research directions. |
2,338 | Phase I dose-escalation study of milademetan in patients with relapsed or refractory acute myeloid leukemia | Long-term survival in patients with acute myeloid leukemia (AML) remains low, and current treatment modalities are inadequate. Milademetan (DS-3032, RAIN-32), a small-molecule specific murine double minute 2 inhibitor, has shown a p53 status-dependent antitumor effect in vitro studies. This is the first phase I study report of milademetan monotherapy in relapsed/refractory (R/R) AML patients evaluating the safety, tolerability, pharmacokinetics, and preliminary tumor response for further clinical development. Fourteen patients received 90 (starting dose, n = 4), 120 (n = 6), or 160 mg (n = 4) of oral milademetan once daily in a 14/28 treatment cycle. The median total treatment duration was 1.5 cycles. Dose-limiting toxicity did not occur, and the maximum tolerated dose was not reached. Thus, the recommended dose was defined as 160 mg. The most common adverse events (AEs) were decreased appetite (64.3%), febrile neutropenia (50%), nausea (42.9%), and anemia (35.7%). No deaths or AEs leading to treatment discontinuation occurred. Five serious treatment-emergent AEs occurred in 4 patients. Plasma concentration increased linearly with milademetan dose. However, trends in the safety and efficacy of oral milademetan in patients with R/R AML warrant further clinical investigation. This study can inform future milademetan studies in hematologic malignancies. |
2,339 | Detection of double-compression in JPEG images for applications in steganography | This paper presents a method for the detection of double JPEG compression and a maximum-likelihood estimator of the primary quality factor. These methods are essential for construction of accurate targeted and blind steganalysis methods for JPEG images. The proposed methods use support vector machine classifiers with feature vectors formed by histograms of low-frequency discrete cosine transformation coefficients. The performance of the algorithms is compared to selected prior art. |
2,340 | Towards farm-level health management of offshore wind farms for maintenance improvements | This paper studies a conceptual architecture for health management of offshore wind farms. To this aim, various necessary enablers of a health management system are presented to improve reliability and availability while optimizing maintenance costs. The main focus lies on improving existing condition monitoring systems based on concepts of condition-based maintenance and reliability centered maintenance. A brief review of the relevant state-of-the-art is presented and gaps to be filled towards realization of such health management system are discussed. |
2,341 | Face detection by structural models | Despite the successes in the last two decades, the state-of-the-art face detectors still have problems in dealing with images in the wild due to large appearance variations. Instead of leaving appearance variations directly to statistical learning algorithms, we propose a hierarchical part based structural model to explicitly capture them. The model enables part subtype option to handle local appearance variations such as closed and open month, and part deformation to capture the global appearance variations such as pose and expression. In detection, candidate window is fitted to the structural model to infer the part location and part subtype, and detection score is then computed based on the fitted configuration. In this way, the influence of appearance variation is reduced. Besides the face model, we exploit the co-occurrence between face and body, which helps to handle large variations, such as heavy occlusions, to further boost the face detection performance. We present a phrase based representation for body detection, and propose a structural context model to jointly encode the outputs of face detector and body detector. Benefit from the rich structural face and body information, as well as the discriminative structural learning algorithm, our method achieves state-of-the-art performance on FDDB, AFW and a self-annotated dataset, under wide comparisons with commercial and academic methods. (C) 2013 Elsevier B.V. All rights reserved. |
2,342 | The growing need for reliable online health information during lockdown in Europe: An infodemiologic analysis of myocardial infarction management in the COVID-19 era | I n t r o d u c t i o n: The COVID-19 pandemic has put healthcare systems worldwide under huge strain, resulting in a significant loss of their capacity and availability. Patients have become more reluctant to contact their doctors or call an ambulance in case of myocardial infarction (MI) symptoms onset. It has been accompanied by a significant decrease in the number of coronary angiography and PCI procedures performed. O b j e c t i v e s: The aim of the study is to evaluate the role of online health information in the patient- dependent phase of MI management during the COVID-19 lockdown in Europe. Methods: We analyzed Google Trends data on the popularity of phrases related to MI symptoms, respiratory tract infection, urological complaints, and terms unrelated to health, for the period of the first COVID-19 lockdown, along with the data from the corresponding weeks from 2017-2019 in seven European countries. R e s u l t s: The search volume for particular symptoms of myocardial infarction increased in all studied countries, compared to the analogous period from 2017-2019, with a significant increase in for chest pain, shortness of breath, fear, and palpitations in most countries. These changes have not been accompanied by increased interest in terms related to respiratory tract infection symptoms and urological complaints. C o n c l u s i o n s: Our findings suggest that during lockdown, patients with MI symptoms may have tried to manage their complaints on their own, using information from the Internet. This demonstrates the growing role of the Internet in the patient's decision-making process in the emergency situation, indicating a growing need for reliable and freely available online information provided by healthcare professionals. |
2,343 | Network Flow Integer Programming to Track Elliptical Cells in Time-Lapse Sequences | We propose a novel approach to automatically tracking elliptical cell populations in time-lapse image sequences. Given an initial segmentation, we account for partial occlusions and overlaps by generating an overcomplete set of competing detection hypotheses. To this end, we fit ellipses to portions of the initial regions and build a hierarchy of ellipses, which are then treated as cell candidates. We then select temporally consistent ones by solving to optimality an integer program with only one type of flow variables. This eliminates the need for heuristics to handle missed detections due to partial occlusions and complex morphology. We demonstrate the effectiveness of our approach on a range of challenging sequences consisting of clumped cells and show that it outperforms state-of the-art techniques. |
2,344 | MMP-12 knockdown prevents secondary brain damage after ischemic stroke in mice | We previously reported that increased expression of matrix metalloproteinase-12 (MMP-12) mediates blood-brain barrier disruption via tight junction protein degradation after focal cerebral ischemia in rats. Currently, we evaluated whether MMP-12 knockdown protects the post-stroke mouse brain and promotes better functional recovery. Adult male mice were injected with negative siRNA or MMP-12 siRNA (intravenous) at 5 min of reperfusion following 1 h transient middle cerebral artery occlusion. MMP-12 knockdown significantly reduced the post-ischemic infarct volume and improved motor and cognitive functional recovery. Mechanistically, MMP-12 knockdown ameliorated degradation of tight junction proteins zonula occludens-1, claudin-5, and occludin after focal ischemia. MMP-12 knockdown also decreased the expression of inflammatory mediators, including monocyte chemoattractant protein-1, tumor necrosis factor-α, and interleukin-6, and the expression of apoptosis marker cleaved caspase-3 after ischemia. Overall, the present study indicates that MMP-12 promotes secondary brain damage after stroke and hence is a promising stroke therapeutic target. |
2,345 | Efficient full-flow process simulation for 3D structures including stress modeling | The need to use 3D process simulation increases as device dimensions shrink and new 3D device designs emerge. Moreover, many state-of-the art CMOS devices employ some sort of stress engineering, which necessitates 3D stress simulations. To perform these simulations efficiently and quickly, new methodologies need to be employed. In this paper we demonstrate several applications of the next generation TCAD tools to 3D simulation problems critical for understanding and development of modern devices. |
2,346 | Dermoid Cyst Spillage Resulting in Chemical Peritonitis: A Case Report and Literature Review | A dermoid cyst, also called a mature teratoma, is a benign tumor of the ovary derived from pluripotent germ cells. It is often asymptomatic; however, it can be expressed by several complications, including infection, adnexal torsion, and rupture. Rarely ovarian dermoid cysts can also transform into malignant degeneration. A ruptured teratoma is a rare and life-threatening complication and may arise spontaneously. However, cystic rupture is often secondary to surgical procedures such as ovarian cystectomy, leading to acute peritonitis and surgical emergency. Herein, we report a case of acute peritonitis in a female resulting from ovarian dermoid cyst spillage. Her clinical picture and radiological imaging were consistent with a ruptured ovarian cyst leading to chemical peritonitis, and a histopathological examination confirmed an ovarian dermoid cyst. |
2,347 | Minimum margin loss for deep face recognition | Face recognition has achieved great success owing to the fast development of deep neural networks in the past few years. Different loss functions can be used in a deep neural network resulting in different performance. Most recently some loss functions have been proposed, which have advanced the state of the art. However, they cannot solve the problem of margin bias which is present in class imbalanced datasets, having the so-called long-tailed distributions. In this paper, we propose to solve the margin bias problem by setting a minimum margin for all pairs of classes. We present a new loss function, Minimum Margin Loss (MML), which is aimed at enlarging the margin of those overdose class centre pairs so as to enhance the discriminative ability of the deep features. MML, together with Softmax Loss and Centre Loss, supervises the training process to balance the margins of all classes irrespective of their class distributions. We implemented MML in Inception-ResNet-v1 and conducted extensive experiments on seven face recognition benchmark datasets, MegaFace, FaceScrub, LFW, SLLFW, YTF, IJB-B and IJB-C. Experimental results show that the proposed MML loss function has led to new state of the art in face recognition, reducing the negative effect of margin bias. (C) 2019 Elsevier Ltd. All rights reserved. |
2,348 | Altered intrinsic organisation of brain networks implicated in attentional processes in adult attention-deficit/hyperactivity disorder: a resting-state study of attention, default mode and salience network connectivity | Deficits in task-related attentional engagement in attention-deficit/hyperactivity disorder (ADHD) have been hypothesised to be due to altered interrelationships between attention, default mode and salience networks. We examined the intrinsic connectivity during rest within and between these networks. Six-minute resting-state scans were obtained. Using a network-based approach, connectivity within and between the dorsal and ventral attention, the default mode and the salience networks was compared between the ADHD and control group. The ADHD group displayed hyperconnectivity between the two attention networks and within the default mode and ventral attention network. The salience network was hypoconnected to the dorsal attention network. There were trends towards hyperconnectivity within the dorsal attention network and between the salience and ventral attention network in ADHD. Connectivity within and between other networks was unrelated to ADHD. Our findings highlight the altered connectivity within and between attention networks, and between them and the salience network in ADHD. One hypothesis to be tested in future studies is that individuals with ADHD are affected by an imbalance between ventral and dorsal attention systems with the former playing a dominant role during task engagement, making individuals with ADHD highly susceptible to distraction by salient task-irrelevant stimuli. |
2,349 | Design and implementation of environmental design based on new energy technology | In recent years, China's new energy industry has developed rapidly. The role of new energy in promoting the economy is also becoming more and more obvious. Over time, the world's energy structure will undergo earth-shaking changes. This paper aims to study how to conduct research on environmental design based on new energy technologies. This paper presents the basic concepts of new energy technology and environmental design. The experimental results of this paper show that although the energy consumption of traditional environmental art design is not increasing all the time, the general trend is rising. From about 65% at the beginning to about 90% at the end, it shows that the energy consumption generated by traditional environmental art design is very huge. This also leads to increased environmental design costs and damage to the environment. The overall energy consumption of environmental art design based on new energy technology is only between 20% and 30%. Whether it is viewed from the perspective of the sustainable development of the economy and society and the protection of the earth's ecological environment on which human beings depend, or the practical energy supply for some special purposes, the development of new energy is of great strategic significance. This shows that the new energy technology saves a lot of cost for environmental art design, and has little damage to the environment. It can be seen that it is very meaningful to apply new energy technology to environmental design.(c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
2,350 | RERBEE: Robust Efficient Registration via Bifurcations and Elongated Elements Applied to Retinal Fluorescein Angiogram Sequences | We present RERBEE (robust efficient registration via bifurcations and elongated elements), a novel feature-based registration algorithm able to correct local deformations in high-resolution ultra-wide field-of-view (UWFV) fluorescein angiogram (FA) sequences of the retina. The algorithm is able to cope with peripheral blurring, severe occlusions, presence of retinal pathologies and the change of image content due to the perfusion of the fluorescein dye in time. We have used the computational power of a graphics processor to increase the performance of the most computationally expensive parts of the algorithm by a factor of over 1300, enabling the algorithm to register a pair of 3900 3072 UWFV FA images in 5-10 min instead of the 5-7 h required using only the CPU. We demonstrate accurate results on real data with 267 image pairs from a total of 277 (96.4%) graded as correctly registered by a clinician and 10 (3.6%) graded as correctly registered with minor errors but usable for clinical purposes. Quantitative comparison with state-of-the-art intensity-based and feature-based registration methods using synthetic data is also reported. We also show some potential usage of a correctly aligned sequence for vein/artery discrimination and automatic lesion detection. |
2,351 | Res2Net: A New Multi-Scale Backbone Architecture | Representing features at multiple scales is of great importance for numerous vision tasks. Recent advances in backbone convolutional neural networks (CNNs) continually demonstrate stronger multi-scale representation ability, leading to consistent performance gains on a wide range of applications. However, most existing methods represent the multi-scale features in a layer-wise manner. In this paper, we propose a novel building block for CNNs, namely Res2Net, by constructing hierarchical residual-like connections within one single residual block. The Res2Net represents multi-scale features at a granular level and increases the range of receptive fields for each network layer. The proposed Res2Net block can be plugged into the state-of-the-art backbone CNN models, e.g., ResNet, ResNeXt, and DLA. We evaluate the Res2Net block on all these models and demonstrate consistent performance gains over baseline models on widely-used datasets, e.g., CIFAR-100 and ImageNet. Further ablation studies and experimental results on representative computer vision tasks, i.e., object detection, class activation mapping, and salient object detection, further verify the superiority of the Res2Net over the state-of-the-art baseline methods. The source code and trained models are available on https://mmcheng.net/res2net/. |
2,352 | [Options for reconstruction after injuries in the head and neck region] | Reconstruction of lesions in the head and neck region must be both functionally and esthetically adequate, as the exposed anatomic position can easily lead to social stigmatization after injury. Distortion of symmetry, e.g., by a crooked nose, enophthalmos, or a (partial) amputation of the outer ear, is easily visible. On the other hand, limitations to nasal breathing and olfaction or diplopia may significantly reduce quality of life, and restoration of form and function continues to be challenging. This review discusses the treatment options for trauma of the external nose and the lateral midface, including the orbital floor and the auricle. |
2,353 | Vehicle Detection under Adverse Weather from Roadside LiDAR Data | Roadside light detection and ranging (LiDAR) is an emerging traffic data collection device and has recently been deployed in different transportation areas. The current data processing algorithms for roadside LiDAR are usually developed assuming normal weather conditions. Adverse weather conditions, such as windy and snowy conditions, could be challenges for data processing. This paper examines the performance of the state-of-the-art data processing algorithms developed for roadside LiDAR under adverse weather and then composed an improved background filtering and object clustering method in order to process the roadside LiDAR data, which was proven to perform better under windy and snowy weather. The testing results showed that the accuracy of the background filtering and point clustering was greatly improved compared to the state-of-the-art methods. With this new approach, vehicles can be identified with relatively high accuracy under windy and snowy weather. |
2,354 | An RNA-Seq-based reference transcriptome for Citrus | Previous RNA-Seq studies in citrus have been focused on physiological processes relevant to fruit quality and productivity of the major species, especially sweet orange. Less attention has been paid to vegetative or reproductive tissues, while most Citrus species have never been analysed. In this work, we characterized the transcriptome of vegetative and reproductive tissues from 12 Citrus species from all main phylogenetic groups. Our aims were to acquire a complete view of the citrus transcriptome landscape, to improve previous functional annotations and to obtain genetic markers associated with genes of agronomic interest. 28 samples were used for RNA-Seq analysis, obtained from 12 Citrus species: C. medica, C. aurantifolia, C. limon, C. bergamia, C. clementina, C. deliciosa, C. reshni, C. maxima, C. paradisi, C. aurantium, C. sinensis and Poncirus trifoliata. Four different organs were analysed: root, phloem, leaf and flower. A total of 3421 million Illumina reads were produced and mapped against the reference C. clementina genome sequence. Transcript discovery pipeline revealed 3326 new genes, the number of genes with alternative splicing was increased to 19,739, and a total of 73,797 transcripts were identified. Differential expression studies between the four tissues showed that gene expression is overall related to the physiological function of the specific organs above any other variable. Variants discovery analysis revealed the presence of indels and SNPs in genes associated with fruit quality and productivity. Pivotal pathways in citrus such as those of flavonoids, flavonols, ethylene and auxin were also analysed in detail. |
2,355 | Dynamic Dominating Set and Turbo-Charging Greedy Heuristics | The main purpose of this paper is to exposit two very different, but very general, motivational schemes in the art of parameterization and a concrete example connecting them. We introduce a dynamic version of the DOMINATING SET problem and prove that it is fixed-parameter tractable (FPT). The problem is motivated by settings where problem instances evolve. It also arises in the quest to improve a natural greedy heuristic for the DOMINATING SET problem. |
2,356 | Optically induced static power in combinational logic: Vulnerabilities and countermeasures | Physical attacks, namely invasive, observation, and combined, represent a great challenge for today's digital design. Successful class of strategies adopted by industry, allowing hiding data dependency of the side channel emissions in CMOS is based on balancing. Although attacks on CMOS dynamic power represent a class of state-ofthe-art attacks, vulnerabilities exploiting data dependency in CMOS static power and light-modulated static power were recently presented. In this paper, we describe structures and techniques developed to enhance and balance the power imprint of the traditional static CMOS bulk structures under invasive light attack. The novel standard cells designed according to the presented techniques in the TSMC180nm technology node were used to synthesize the dual-rail AES SBOX block. The behavior of the AES SBOX block composed of the novel cells is compared to classical approaches. Usage of novel cells enhances circuit security under invasive light attack while preserving comparable circuit resistance against state-of-the-art power attacks. |
2,357 | Identification of Key Genes during Ca2+-Induced Genetic Transformation in Escherichia coli by Combining Multi-Omics and Gene Knockout Techniques | The molecular mechanism of the Ca2+-mediated formation of competent cells in Escherichia coli remains unclear. In this study, transcriptome and proteomics techniques were used to screen genes in response to Ca2+ treatment. A total of 333 differentially expressed genes (317 upregulated and 16 downregulated) and 145 differentially expressed proteins (54 upregulated and 91 downregulated) were obtained. These genes and proteins are mainly enriched in cell membrane components, transmembrane transport, and stress response-related functional terms. Fifteen genes with these functions, including yiaW, ygiZ, and osmB, are speculated to play a key role in the cellular response to Ca2+. Three single-gene deletion strains were constructed with the Red homologous recombination method to verify its function in genetic transformation. The transformation efficiencies of yiaW, ygiZ, and osmB deletion strains for different-size plasmids were significantly increased. None of the three gene deletion strains changed in size, which is one of the main elements of microscopic morphology, but they exhibited different membrane permeabilities and transformation efficiencies. This study demonstrates that Ca2+-mediated competence formation in E. coli is not a simple physicochemical process and may involve the regulation of genes in response to Ca2+. This study lays the foundation for further in-depth analyses of the molecular mechanism of Ca2+-mediated transformation. IMPORTANCE Using transcriptome and proteome techniques and association analysis, we identified several key genes involved in the formation of Ca2+-mediated E. coli DH5α competent cells. We used Red homologous recombination technology to construct three single-gene deletion strains and found that the transformation efficiencies of yiaW, ygiZ, and osmB deletion strains for different-size plasmids were significantly increased. These results proved that the genetic transformation process is not only a physicochemical process but also a reaction process involving multiple genes. These results suggest ways to improve the horizontal gene transfer mechanism of foodborne microorganisms and provide new ideas for ensuring the safety of food preservation and processing. |
2,358 | Additional balloon aortic valvuloplasty to overcome the difficult removal of a self-expandable transcatheter aortic valve system due to valve infolding | Transcatheter aortic valve replacement (TAVR) is a well-established treatment for severe aortic stenosis. Advances in the devices used and operators' technique have reduced the frequency of complications. However, valve infolding is a rare but serious outcome after the implantation of self-expanding prostheses. We report a case of a successful bailout of a device that was difficult to remove because of valve infolding. TAVR using a 26 mm Evolut PRO+ system (Medtronic) was planned for a 91-year-old woman with severe aortic stenosis. After the valve was deployed in a satisfactory position on the second release, the system could not be removed because the nose cone was hooked to the basal frame of the deployed valve. To overcome this situation, an additional balloon was inserted from the contralateral femoral side and inflated, and we extracted the system successfully by pulling out the device while simultaneously deflating the balloon. Postoperative computed tomography revealed valve infolding, which was considered to cause the difficulty in system removal. Infoldings of self-expandable prostheses should be considered when faced with difficulty in removing the catheter system, and the method elucidated in this case report can be effective to manage it. |
2,359 | A 0.0023 mm(2)/ch. Delta-Encoded, Time-Division Multiplexed Mixed-Signal ECoG Recording Architecture With Stimulus Artifact Suppression | This article demonstrates a scalable, time-division multiplexed biopotential recording front-end capable of real-time differential- and common-mode artifact suppression. A delta-encoded recording architecture exploits the power spectral density (PSD) characteristics of Electrocorticography (ECoG) recordings, combining an 8-bit ADC, and an 8-bit DAC to achieve 14 bits of dynamic range. The flexibility of the digital feedback architecture is leveraged to time-division multiplex 64 differential input channels onto a shared mixed-signal front-end, reducing channel area by 2x compared to the state-of-the-art. The feedback DAC used for delta-encoding also serves to cancel differential artifacts with an off-chip adaptive loop. Analysis of this architecture and measured silicon performance of a 65 nm CMOS test-chip implementation, both on the bench and in-vivo, are included with this paper. |
2,360 | Stumped by the Mystery: A Case Report of Progressive Shortening of Bone Following an Above-Knee Amputation | Several studies have investigated the anatomical adaptations in amputation stumps. In this study, we present a case report of a patient who underwent an above-the-knee amputation and, over the course of time, the length of the residual bone spontaneously shortened. The patient had undergone a total hip replacement in the same leg, and the cement mantle of the hip replacement, which could be seen within the medullary canal in the early postoperative X-rays, protruded due to bone resorption one year after the amputation. Although changes in bone microarchitecture in amputation stumps are well established, this is the first report of macroscopic changes in its actual length. |
2,361 | Single Nucleotide Polymorphism-Based Real-Time PCR Screening Assay for Rapid Tracking of Bacterial Infection Clusters To Complement Whole-Genome Sequencing Efforts during Outbreak Investigations | Infection clusters of multidrug-resistant bacteria increase mortality and entail expensive infection control measures. Whereas whole-genome sequencing (WGS) is the current gold standard to confirm infection clusters, PCR-based assays targeting cluster-specific signatures, such as single nucleotide polymorphisms (SNPs) derived from WGS data, are more suitable to initially screen for cluster isolates within large sample sizes. Here, we evaluated four software tools (SeqSphere+, RUCS, Gegenees, and Find Differential Primers) regarding their efficiency to find SNPs within WGS data sets that were specific for two bacterial monospecies infection clusters but were absent from a WGS reference data set comprising several hundred diverse genotypes of the same bacterial species. Cluster-specific SNPs were subsequently used to establish a probe-based real-time PCR screening assay for in vitro differentiation between cluster and noncluster isolates. SeqSphere+ and RUCS found 2 and 24 SNPs for clusters 1 and 14 and 24 SNPs for cluster 2, respectively. However, some signatures detected by RUCS were not cluster specific. Interestingly, all SNPs identified by SeqSphere+ were also detected by RUCS. In contrast, analyses with the remaining tools either resulted in no SNPs (with Find Differential Primers) or failed (Gegenees). Design of six cluster-specific real-time PCR assays enabled reliable cluster screening in vitro. Our evaluation revealed that SeqSphere+ and RUCS identified cluster-specific SNPs that could be used for large-scale screening in surveillance samples via real-time PCR, thereby complementing WGS efforts. This faster and simplified approach for the surveillance of bacterial clusters will improve infection control measures and will enhance protection of patients and physicians. IMPORTANCE Infection clusters of multidrug-resistant bacteria threaten medical facilities worldwide and cause immense health care costs. In recent years, whole-genome sequencing (WGS) has been increasingly applied to detect and to further control bacterial clusters. However, as WGS is still expensive and time-consuming, its exclusive application for screening and confirmation of bacterial infection clusters contributes to high costs and enhanced turnaround times, which many hospitals cannot afford. Therefore, there is need for alternative methods that can enable further surveillance of bacterial clusters that are initially detected by WGS in a faster and more cost-efficient way. Here, we established a system based on real-time PCR that enables rapid large-scale sample screening for bacterial cluster isolates within 7 days after the initial detection of an infection cluster, thereby complementing WGS efforts. This faster and simplified surveillance of bacterial clusters will improve infection control measures and will enhance protection of patients and physicians. |
2,362 | 3DFCNN: real-time action recognition using 3D deep neural networks with raw depth information | This work describes an end-to-end approach for real-time human action recognition from raw depth image-sequences. The proposal is based on a 3D fully convolutional neural network, named 3DFCNN, which automatically encodes spatio-temporal patterns from raw depth sequences. The described 3D-CNN allows actions classification from the spatial and temporal encoded information of depth sequences. The use of depth data ensures that action recognition is carried out protecting people's privacy, since their identities can not be recognized from these data. The proposed 3DFCNN has been optimized to reach a good performance in terms of accuracy while working in real-time. Then, it has been evaluated and compared with other state-of-the-art systems in three widely used public datasets with different characteristics, demonstrating that 3DFCNN outperforms all the non-DNN-based state-of-the-art methods with a maximum accuracy of 83.6% and obtains results that are comparable to the DNN-based approaches, while maintaining a much lower computational cost of 1.09 seconds, what significantly increases its applicability in real-world environments. |
2,363 | Three-Dimensional Vessels-on-a-Chip Based on hiPSC-derived Vascular Endothelial and Smooth Muscle Cells | Blood vessels are composed of endothelial cells (ECs) that form the inner vessel wall and mural cells that cover the ECs to mediate their stabilization. Crosstalk between ECs and VSMCs while the ECs undergo microfluidic flow is vital for the function and integrity of blood vessels. Here, we describe a protocol to generate three-dimensional (3D) engineered vessels-on-chip (VoCs) composed of vascular cells derived from human induced pluripotent stem cells (hiPSCs). We first describe protocols for robust differentiation of vascular smooth muscle cells (hiPSC-VSMCs) from hiPSCs that are effective across multiple hiPSC lines. Second, we describe the fabrication of a simple microfluidic device consisting of a single collagen lumen that can act as a cell scaffold and support fluid flow using the viscous finger patterning (VFP) technique. After the channel is seeded sequentially with hiPSC-derived ECs (hiPSC-ECs) and hiPSC-VSMCs, a stable EC barrier covered by VSMCs lines the collagen lumen. We demonstrate that this 3D VoC model can recapitulate physiological cell-cell interaction and can be perfused under physiological shear stress using a microfluidic pump. The uniform geometry of the vessel lumens allows precise control of flow dynamics. We have thus developed a robust protocol to generate an entirely isogenic hiPSC-derived 3D VoC model, which could be valuable for studying vessel barrier function and physiology in healthy or disease states. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Differentiation of hiPSC-VSMCs Support Protocol 1: Characterization of hiPSC-NCCs and hiPSC-VSMCs Support Protocol 2: Preparation of cryopreserved hiPSC-VSMCs and hiPSC-ECs for VoC culture Basic Protocol 2: Generation of 3D VoC model composed of hiPSC-ECs and hiPSC-VSMCs Support Protocol 3: Structural characterization of 3D VoC model. |
2,364 | Deterioration processes affecting prehistoric rock art engravings in granite in NW Spain | Prehistoric rock art sites are endangered despite conservation efforts. The lack of scientific documentation regarding weathering agents affecting rock art and the absence of specific diagnostic protocols hinder the development of conservation strategies. The aim of this research was to investigate active deterioration processes in a granite petroglyph site located in Mougas (Galicia, NW Spain) by characterizing the granite, conducting a geotechnical study of the outcrop and describing and analysing the main weathering processes. Two main deterioration factors were identified. First, water favours block disjunction at the massif scale and causes pitting and surface erosion at the millimetre scale that affects the readability of the engravings. Second, high temperatures associated with wildfires cause mineral transformations that increase the susceptibility of the rock to weathering. Identifying deterioration factors is a first step in developing appropriate preventive conservation measures, which should aim to reduce rock contact time with water (technically affordable in the short term) and to reduce the probability of wildfire occurrence (technically more complex and possibly with longer-term results). Copyright (c) 2018 John Wiley & Sons, Ltd. |
2,365 | Bandwidth-enhanced differential VCO and varactor-coupled quadrature VCO for mmWave applications | This paper presents a bandwidth-enhanced differential LC-Voltage Controlled Oscillator (LC-VCO) and varactor-coupled Quadrature VCO (QVCO) designed and simulated in high-performance SiGe HBTs of the GlobalFoundries (GFs) 130 nm SiGe BiCMOS8HP process for mmWave applications. Using the proposed varactor circuit, the designed VCO is operated in wideband and also the two-identical free-running differential VCOs (DVCOs) are coupled through the proposed varactor to oscillate in quadrature. The device sizes in the coupling network are properly set to achieve low I/Q errors. In addition, all the VCOs are designed in class-C to further improve their performances both in term of low power and low phase noise. The post-simulation results show that the differential oscillator is tunable from 20.3- to 31.3-GHz as the tuning voltage is varied from 0 to 1.2 V, while consuming only 10 mA from 1.2 V supply, presenting the best state-of-the-art figure-of-merit (FoM(T)) of -188 dBc/Hz. Similarly, the QVCO can cover 40.2% oscillation bandwidth around 25.5 GHz oscillating frequency which is significantly wider than other state-of-the-art VCOs operating at comparable frequencies. (C) 2018 Elsevier GmbH. All rights reserved. |
2,366 | Multiple influences of working memory capacity on number comprehension: The interplay with metacognition and number-specific prerequisites | A wide literature has studied the predictors of number comprehension and early math learning by considering both domain-general and number-specific prerequisites. However, a consensus has not been reached regarding the specific contribution of these prerequisites. This study aimed to analyze the contribution and interplay of two domain-general functions, working memory (WM) and metacognitive abilities, and number-specific prerequisites in determining number comprehension. The participants, 126 Italian first-graders, were tested on two WM capacity tasks, an early metacognition questionnaire, five number-specific prerequisites tasks (e.g., quantity and/or size comparison; placement of Arabic numeral), and the Number Knowledge Test for whole-number comprehension. We hypothesized that WM capacity would predict number comprehension both directly and indirectly via metacognition and domain-specific prerequisites. This is because both metacognition and domain-specific prerequisites might place an information load on WM to establish schemes for declarative metamemory and metacognitive monitoring and for emerging counting skills, respectively. The results confirmed these hypotheses. WM capacity was positively associated with number comprehension both directly and via increased metacognition and domain-specific prerequisites. These findings offer a model for interpreting the interplay between domain-general and number-specific predictors of whole-number comprehension, but they also underline the multiple ways in which WM capacity affects it. |
2,367 | Skeletal interoception in bone homeostasis and pain | Accumulating evidence indicates that interoception maintains proper physiological status and orchestrates metabolic homeostasis by regulating feeding behaviors, glucose balance, and lipid metabolism. Continuous skeletal remodeling consumes a tremendous amount of energy to provide skeletal scaffolding, support muscle movement, store vital minerals, and maintain a niche for hematopoiesis, which are processes that also contribute to overall metabolic balance. Although skeletal innervation has been described for centuries, recent work has shown that skeletal metabolism is tightly regulated by the nervous system and that skeletal interoception regulates bone homeostasis. Here, we provide a general discussion of interoception and its effects on the skeleton and whole-body metabolism. We also discuss skeletal interoception-mediated regulation in the context of pathological conditions and skeletal pain as well as future challenges to our understanding of these process and how they can be leveraged for more effective therapy. |
2,368 | Medical students' perception of e-learning approach (MeSPeLA) - a mixed method research | There is a discrepancy between the research exploring e-learning at medical universities in Central/Eastern and Western European countries. The aim of the MeSPeLA study was to explore the understanding, experience and expectations of Polish medical students in terms of e-learning. Questionnaire containing open-ended and closed questions supplemented by focus group discussion was validated and performed among 204 medical students in Poland before COVID-19 pandemia. Several domains: understanding of e-learning definitions; students' experience, preferences, expectations and perceptions of e-learning usefulness, advantages and disadvantages were addressed. The qualitative data were analyzed using an inductive approach. 46.0% of students chose a communication-oriented definition as the most appropriate. 7.4% claimed not to have any experience with e-learning. 76.8% of respondents indicated they had contact with e-learning. The main reported e-learning advantages were time saving and easier time management. The most common drawback was limited social interactions. The acceptance of the usage of e-learning was high. Medical undergraduates in Poland regardless of the year of studies, gender or choice of future specialization showed positive attitudes towards e-learning. Students with advanced IT skills showed a better understanding of the e-learning definition and perceived e-learning to be a more useful approach. The expectations and perceptions about e-learning in Polish medical schools seems similar to some extent to that in Western European and the United States so we can be more confident about applying some lessons from these research to Poland or other post-communist countries. Such application has been accelerated due to COVID-19 pandemia. |
2,369 | A Neandertal dietary conundrum: Insights provided by tooth enamel Zn isotopes from Gabasa, Spain | The characterization of Neandertals' diets has mostly relied on nitrogen isotope analyses of bone and tooth collagen. However, few nitrogen isotope data have been recovered from bones or teeth from Iberia due to poor collagen preservation at Paleolithic sites in the region. Zinc isotopes have been shown to be a reliable method for reconstructing trophic levels in the absence of organic matter preservation. Here, we present the results of zinc (Zn), strontium (Sr), carbon (C), and oxygen (O) isotope and trace element ratio analysis measured in dental enamel on a Pleistocene food web in Gabasa, Spain, to characterize the diet and ecology of a Middle Paleolithic Neandertal individual. Based on the extremely low δ66Zn value observed in the Neandertal's tooth enamel, our results support the interpretation of Neandertals as carnivores as already suggested by δ15N isotope values of specimens from other regions. Further work could help identify if such isotopic peculiarities (lowest δ66Zn and highest δ15N of the food web) are due to a metabolic and/or dietary specificity of the Neandertals. |
2,370 | Development of transmission-reducing behaviour adherence measure (TRAM) for monitoring and predicting transmission-reducing behaviours during the pandemic | There is a need for a measure to monitor adherence to transmission-reducing behaviours (TRBs) during pandemics. An adherence measure can monitor current TRBs, assess change over time and, potentially, predict later behaviours. The TRB adherence measure (scale consisting of seven items) includes questions based on government behavioural directives in Scotland that were common internationally, i.e., physical distancing, face covering and hand hygiene. Data were collected weekly for 6 weeks at the beginning of the pandemic, including a later follow-up repeated measure of some participants, in 20-minute structured telephone surveys with a nationally representative random sample of adults in Scotland. A total of 2969 people completed the adherence items and were highly adherent. Confirmatory factor analysis supported a unidimensional scale (CFI = .95; TLI = .93; RMSEA = .08; SRMR = .08), although internal consistency was low (Cronbach's alpha = .49). The adherence score significantly predicted adherence to a validity test item (ΔR2 = .114, F(1,2964) = 379.76, p < .001). It also predicted adherence to TRBs later over and above personal habitual styles (Creature of Habit Scale: COHS). The adherence score has been developed for routine monitoring of adherence to TRBs during the COVID-19 pandemic. It can be used to predict future similar behaviours and adherence to other behaviours, although it may be necessary to explore adherence to the specific behaviours occasionally. Adherent behaviour for one TRB is likely to be associated with adherence to government directives to other TRBs. Importantly, these TRBs are likely to be crucial in reducing COVID-19 case numbers, as well as protecting against other infectious diseases including influenza and the common cold. |
2,371 | Goal-oriented top-down probabilistic visual attention model for recognition of manipulated objects in egocentric videos | We propose a new top down probabilistic saliency model for egocentric video content. It aims to predict top-down visual attention maps focused on manipulated objects, that are then used for psycho-visual weighting of features in the problem of manipulated object recognition. The model is probabilistically defined using both global and local appearance features extracted from automatically segmented arm areas and objects. A psycho-visual experiment has been conducted in a guided framework that compares our proposal and other popular state-of-the-art models with respect to human gaze fixations. The obtained results show that our approach outperforms several popular bottom-up saliency approaches in a well-known egocentric dataset Furthermore, an additional task-driven assessment for object recognition in egocentric video reveals that the proposed method improves the performance of several state-of-the-art techniques for object detection. (C) 2015 Elsevier B.V. All rights reserved. |
2,372 | Centralized and Decentralized Channel Estimation in FDD Multi-User Massive MIMO Systems | We design a centralized and a decentralized variational Bayesian learning (C- and D-VBL) algorithms for the base station (BS) of a frequency division duplex massive multiple input multiple output (mMIMO) cellular system, wherein users send compressed information for it to estimate their downlink channels. The BS in the decentralized algorithm consists of multiple processing units (PUs), and each PU separately estimates the channels of a group of users, by employing the proposed D-VBL algorithm. To reduce channel estimation error, the PUs exploit the structured sparsity inherent in multi-user mMIMO channels by exchanging information among themselves. We investigate the proposed C-VBL and low-complexity D-VBL algorithms and show that i) they substantially outperform the state-of-the-art centralized and decentralized algorithms in terms of the normalized mean squared error and the bit error rate. This is because they beneficially exploit the channel sparsity, while the existing state-of-the-art solutions fail to do so. The proposed D-VBL is also robust to PU failures, and provides a similar performance as its centralized counterpart (C-VBL), but with a much reduced complexity. |
2,373 | Neural and behavioral plasticity across the female reproductive cycle | Sex is fundamental for the evolution and survival of most species. However, sex can also pose danger, because it increases the risk of predation and disease transmission, among others. Thus, in many species, cyclic fluctuations in the concentration of sex hormones coordinate sexual receptivity and attractiveness with female reproductive capacity, promoting copulation when fertilization is possible and preventing it otherwise. In recent decades, numerous studies have reported a wide variety of sex hormone-dependent plastic rearrangements across the entire brain, including areas relevant for female sexual behavior. By contrast, how sex hormone-induced plasticity alters the computations performed by such circuits, such that collectively they produce the appropriate periodic switches in female behavior, is mostly unknown. In this review, we highlight the myriad sex hormone-induced neuronal changes known so far, the full repertoire of behavioral changes across the reproductive cycle, and the few examples where the relationship between sex hormone-dependent plasticity, neural activity, and behavior has been established. We also discuss current challenges to causally link the actions of sex hormones to the modification of specific cellular pathways and behavior, focusing on rodents as a model system while drawing a comparison between rodents and humans wherever possible. |
2,374 | A Hierarchical Criticality-Aware Architectural Synthesis Framework for Multicycle Communication | In deep submicron era, wire delay is no longer negligible and is becoming a dominant factor of the system performance. To cope with the increasing wire delay, several state-of-the-art architectural synthesis flows have been proposed for the distributed register architectures by enabling on-chip multicycle communication. In this article, we present a new performance-driven criticality-aware synthesis framework CriAS targeting regular distributed register architectures. To achieve high system performance, CriAS features a hierarchical binding-then-placement for minimizing the number of performance-critical global data transfers. The key ideas are to take time criticality as the major concern at earlier binding stages before the detailed physical placement information is available, and to preserve the locality of closely related critical components in the later placement phase. The experimental results show that CriAS can achieve an average of 14.26% overall performance improvement with no runtime overhead as compared to the previous art. |
2,375 | Arbitrary-Oriented Object Detection in Remote Sensing Images Based on Polar Coordinates | Arbitrary-oriented object detection is an important task in the field of remote sensing object detection. Existing studies have shown that the polar coordinate system has obvious advantages in dealing with the problem of rotating object modeling, that is, using fewer parameters to achieve more accurate rotating object detection. However, present state-of-the-art detectors based on deep learning are all modeled in Cartesian coordinates. In this article, we introduce the polar coordinate system to the deep learning detector for the first time, and propose an anchor free Polar Remote Sensing Object Detector (P-RSDet), which can achieve competitive detection accuracy via using simpler object representation model and less regression parameters. In P-RSDet method, arbitrary-oriented object detection can be achieved by predicting the center point and regressing one polar radius and two polar angles. Besides, in order to express the geometric constraint relationship between the polar radius and the polar angle, a Polar Ring Area Loss function is proposed to improve the prediction accuracy of the corner position. Experiments on DOTA, UCAS-AOD and NWPU VHR-10 datasets show that our P-RSDet achieves state-of-the-art performances with simpler model and less regression parameters. |
2,376 | Evaluation of Serum Selenium Level, Quality of Sleep, and Life in Pregnant Women With Restless Legs Syndrome | Restless legs syndrome (RLS) is a multifactorial disease that patients describe as restlessness in their legs, which creates a desire to move their legs, especially in the evening and at rest. This study aims to investigate serum selenium levels in RLS and document the quality of sleep and life in pregnant women with RLS according to International Restless Legs Syndrome Study Group (IRLSSG) diagnostic criteria. Thirty-eight moderate to severe RLS patients with pregnancy at 38-41 weeks of gestation were determined as the case group, and 38 women with healthy gestational age-matched pregnancies were determined as the control group. Maternal serum selenium levels were compared between the RLS case group and the group of healthy pregnant women at the time of hospitalization for delivery. The Pittsburgh Sleep Quality Index (PSQI) and The Quality of Life Scale (SF-36) were applied to the patients. The mean selenium level (µg/L) was statistically significantly lower in the RLS group (53.24 ± 10.28), compared to the healthy pregnant population (58.95 ± 11.29) (P = 0.024). The PSQI score was significantly higher in the RLS case group (P = 0.033). Especially sleep efficiency (P = 0.018) and daytime dysfunction (P = 0.032) sub-parameters were affected. The SF-36 questionnaire was examined and a significant difference was detected between the two groups in role emotional (P = 0.026), social functioning (P = 0.023), and body pain (P = 0.044) sub-parameters. Serum selenium level was significantly lower, the sleep quality of the RLS group was impaired and their quality of life was affected in pregnant women with RLS. Further studies are needed to determine whether selenium replacement in pregnant women with RLS is feasible or not. |
2,377 | Epipolar Geometry Estimation for Urban Scenes with Repetitive Structures | Algorithms for the estimation of epipolar geometry from a pair of images have been very successful in dealing with challenging wide baseline images. In this paper the problem of scenes with repeated structures is addressed, dealing with the common case where the overlap between the images consists mainly of facades of a building. These facades may contain many repeated structures that can not be matched locally, causing state-of-the-art algorithms to fail. Assuming that the repeated structures lie on a planar surface in an ordered fashion the goal is to match them. Our algorithm first rectifies the images such that the facade is fronto-parallel. It then clusters similar features in each of the two images and matches the clusters. From them a set of hypothesized homographies of the facade is generated, using local groups of features. For each homography the epipole is recovered, yielding a fundamental matrix. For the best solution, it then decides whether the fundamental matrix has been recovered reliably and, if not, returns only the homography. The algorithm has been tested on a large number of challenging image pairs of buildings from the benchmark ZuBuD database, outperforming several state-of-the-art algorithms. |
2,378 | Complete and Interpretable Conformance Checking of Business Processes | This article presents a method for checking the conformance between an event log capturing the actual execution of a business process, and a model capturing its expected or normative execution. Given a process model and an event log, the method returns a set of statements in natural language describing the behavior allowed by the model but not observed in the log and vice versa. The method relies on a unified representation of process models and event logs based on a well-known model of concurrency, namely event structures. Specifically, the problem of conformance checking is approached by converting the event log into an event structure, converting the process model into another event structure, and aligning the two event structures via an error-correcting synchronized product. Each difference detected in the synchronized product is then verbalized as a natural language statement. An empirical evaluation shows that the proposed method can handle real datasets and produces more concise and higher-level difference descriptions than state-of-the-art conformance checking methods. In a survey designed according to the technology acceptance model, practitioners showed a preference towards the proposed method with respect to a state-of-the-art baseline. |
2,379 | Murujuga Rockshelter: First evidence for Pleistocene occupation on the Burrup Peninsula | The Dampier Archipelago (including the Burrup Peninsula), now generally known as Murujuga, is a significant rock art province in north-western Australia which documents the transition of an arid maritime cultural landscape through time. This archipelago of 42 islands has only existed since the mid-Holocene, when the sea level rose to its current height. Previous excavations across Murujuga have demonstrated Holocene occupation sequences, but the highly weathered rock art depicting extinct fauna and early styles suggests a far greater age for occupation and rock art production. The archaeological record from the Pilbara and Carnarvon bioregions demonstrates human occupation through 50,000 years of environmental change. While the regional prehistory and engraved art suggests that people were producing art here since they first occupied these arid rocky slopes, no clear evidence of Pleistocene occupation has been found across Murujuga, until now. Murujuga Rockshelter (MR1) reveals that occupation of this shelter began late in the Last Glacial Maximum, when the Murujuga Ranges would likely have served as one of a network of Pilbara refugia. In the terminal Pleistocene/Early Holocene, and likely in tandem with the last stages of sea level rise, the proportion of artefacts manufactured on exotic lithologies declines sharply, revealing a changed foraging range and increasing territorial focus in this period of increased demographic packing as the coastline advanced. Abandonment of the site as early as 7000 years ago is indicated, suggesting a changing resource focus to the increasingly proximal coastline. This paper provides the first evidence of how Aboriginal people adapted their Pleistocene procurement strategies in response to significant environmental and landscape changes in Murujuga. This changing logistical strategy provides an explanation for the increased rock art production in the terminal Pleistocene/Early Holocene. (C) 2018 Elsevier Ltd. All rights reserved. |
2,380 | Management of Symptomatic Elastofibroma Dorsi: A Case Report and Literature Review | Elastofibroma dorsi (ED) is a rare tumor that most often occurs in the subscapular and infrascapular region between the thoracic wall, serratus anterior, and latissimus dorsi muscle. Based on a review of the literature, ED has been deemed an extremely rare entity. However, the incidence may be greater and is difficult to determine as the majority of ED being asymptomatic and therefore undiagnosed. Surgical excision is commonly performed when patients present with pain associated with ED. This being the case, it is important to evaluate the factors contributing to the pain seen in these patients and to evaluate the risks vs benefits of intervening in symptomatic ED patients who present for possible surgical intervention. We herein report a case of bilateral ED, situated in the upper back with only the right side being symptomatic in a 56-year-old male laborer. Due to pain in the right upper back, the patient underwent surgical removal of the ED. The postoperative course was uneventful and the patient had an excellent recovery. A review of the literature showed no correlation between pain on presentation and tumor size or location. Major complications of treating these patients include seroma or hematoma formation which according to the literature can be avoided using postoperative tube drainage and compressing bandages. |
2,381 | Periconceptional folic acid fortification for the risk of gestational hypertension and pre-eclampsia: a meta-analysis of prospective studies | Published literatures report controversial results about the association of folic acid-containing multivitamins with gestational hypertension and pre-eclampsia. A comprehensive search was performed to identify related prospective studies to assess the effect of folic acid fortification on gestational hypertension and pre-eclampsia. The Q test and I(2) statistic were used to examine between-study heterogeneity. Fixed or random effects models were selected based on study heterogeneity. A funnel plot and modified Egger linear regression test were used to estimate publication bias. Eleven studies conformed to the criteria. Pooled results indicated that folic acid fortification alone was not associated with the occurrence of gestational hypertension [relative risk (RR) = 1.03, 95% confidence interval (CI): 0.98-1.09, P = 0.267] and pre-eclampsia (RR = 0.99, 95% CI: 0.90-1.08, P = 0.738). However, supplementation of multivitamins containing folic acid could prevent gestational hypertension (RR = 0.57, 95% CI: 0.43-0.76, P < 0.001) and pre-eclampsia (RR = 0.64, 95% CI: 0.48-0.84, P = 0.001). The difference between folic acid fortification alone and multivitamins containing folic acid was significant. This meta-analysis suggests that periconceptional multivitamin supplementation with appropriate dose, not folic acid alone, is an appropriate recommendation for pregnant women. The effect should be further confirmed by conducting large-scale randomised controlled trials. |
2,382 | State-of-the-Art Different Evolution Algorithms Selection and Modifications for Difficult Functions | Differential evolution (DE) is powerful for global optimization problems and constantly improved. However, satisfactory solutions of some functions can be hardly obtained so far. According to the experimental data of many state-of-the-art DE algorithms from the literature and our pre-experiment, solutions for F12 among the 25 CEC 2005 benchmark functions have an outstanding large mean error to the optimal value, while solutions for F15, F21, and F23-F24 all fall into one or several values. It can be seen that, in the involved state-of-the-art DE algorithms, JADE obtains the best solutions for F15, while EDEV obtains the best solutions for F12. In this paper, we modify the two DE algorithms for the two functions, respectively. Experimental results show that our modifications leads to significant improvement on solutions. As a result, solutions for these two functions are improved to an unprecedented degree. |
2,383 | MIL-88B(Fe)/cellulose microspheres as sorbent for the fully automated dispersive pipette extraction towards trace sulfonamides in milk samples prior to UPLC-MS/MS analysis | MIL-88B(Fe)/cellulose microspheres (MIL-88B(Fe)/CMs) were characterized by the means of SEM, XRD, TGA and N2 adsorption-desorption test. The composite was used as the sorbent for fully automated dispersive pipette extraction (DPX), after introducing CMs as the support, the loss of MIL-88B(Fe) in DPX was avoided. Coupled to UPLC-MS/MS, the proposed method was employed for the analysis of trace sulfonamides (SAs) in milk samples. The parameters affecting the extraction efficiency, including pH of sample solution, the rate of aspiration and dispense, amount of the adsorbent, type and volume of elution solvent were optimized. Under the optimal conditions, good linearity (r ≥ 0.9978 for five analytes), high sensitivity (limit of detection: 0.00660-0.0136 μg kg-1) and satisfactory recovery (69.8%-100.9%) were achieved. Furthermore, the sorbent showed desirable reusability over eight extraction cycles. Compared with other methods for the pretreatment of SAs, the proposed method showed advantages of high sensitivity, less sorbent consumption, environmental friendliness and automation, providing a promising protocol for sample preparation. |
2,384 | A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending | Credit scoring is an efficient tool in handling the information asymmetry of peer-to-peer (P2P) lending. Credit scoring models are typically built only with the accepted applicants, which may cause sample bias and further hinder the predictive performances. Reject inference methods utilize the information contained in the rejected samples by inferring their potential status and incorporate them with the accepted samples. In this study, we propose a novel reject inference model (i.e., OD-LightGBM) that combines an outlier detection technique (i.e., isolation forest) and a state-of-the-art gradient boosting decision tree algorithm. The model is evaluated on two real-world P2P lending datasets, and the results of predictive performances demonstrate that our proposed model significantly outperforms the benchmarks in terms of discriminative capability. The analysis of computational cost shows the great potential of our proposed model in handling large-sized problems. The proposed framework remains robust under different parameter settings and provides stable results given various combinations of outlier detection algorithms and classifiers. |
2,385 | Autonomous solar powered membrane distillation systems: state of the art | Being a basic element for the every existence of any form of life on earth, water is one of the most abundant resources on earth, covering three-fourth of the planet's surface. However, there is a shortage of freshwater in many areas worldwide. Desalination seems to be the most suitable solution. Major conventional desalination processes, such as distillation and reverse osmosis, consume a large amount of energy derived from oil and natural gas as heat and electricity, which is responsible for harmful CO2 emission. Solar desalination has emerged as a promising renewable energy-powered technology for producing freshwater. Solar membrane distillation (MD) is the best option in decentralized regions with scattered population and lack of infrastructures jointly with hard climate conditions make it difficult or at least not cost-effective to scale down bigger desalination technologies, such as RO or MSF, designed for very big water productions. Moreover, MD compared to conventional thermal desalination is less demanding regarding vapor space and building material's quality leading to potential lower construction costs. The aim of this paper is to present the state-of-the-art review of developments in solar MD technology. In this review, membrane configurations, module design, and recent applications of this technology were discussed in detail. |
2,386 | 3D-printed conductive static mixers enable all-vanadium redox flow battery using slurry electrodes | State-of-the-art all-vanadium redox flow batteries employ porous carbonaceous materials as electrodes. The battery cells possess non-scalable fixed electrodes inserted into a cell stack. In contrast, a conductive particle network dispersed in the electrolyte, known as slurry electrode, may be beneficial for a scalable redox flow battery. In this work, slurry electrodes are successfully introduced to an all-vanadium redox flow battery. Activated carbon and graphite powder particles are dispersed up to 20 wt% in the vanadium electrolyte and charge-discharge behavior is inspected via polarization studies. Graphite powder slurry is superior over activated carbon with a polarization behavior closer to the standard graphite felt electrodes. 3D-printed conductive static mixers introduced to the slurry channel improve the charge transfer via intensified slurry mixing and increased surface area. Consequently, a significant increase in the coulombic efficiency up to 95% and energy efficiency up to 65% is obtained. Our results show that slurry electrodes supported by conductive static mixers can be competitive to state-of-the-art electrodes yielding an additional degree of freedom in battery design. Research into carbon properties (particle size, internal surface area, pore size distribution) tailored to the electrolyte system and optimization of the mixer geometry may yield even better battery properties. |
2,387 | Pension Plan Types and Social Security Knowledge: New Survey Evidence | Knowledge of the Social Security Old-Age and Survivors Insurance program affects people's work, consumption, and savings decisions before retirement and in turn impacts financial well-being in retirement. This study examines whether the type of employer-sponsored pension is associated with varying levels of Social Security knowledge using data from the Understanding America Study. Results indicate that people with various pension types are consistently more knowledgeable about disability benefits, age adjustment, claiming upon retirement, and spousal benefits, relative to pensionless individuals. Interventions to enhance Social Security knowledge may benefit from targeting the most financially vulnerable individuals, particularly women without a pension, for enhanced retirement security. |
2,388 | SEARCH PATHS AND SOLUTIONS FOR NEW FORMS OF MUSEUM EXHIBITION LIGHTING | The changed design status of exhibition environment electrical lighting has become the driver of innovative transformations and development of museum exhibitions. Light has become a real form-making and space-modelling tool. Formation of specific museum experience of lighting remains an interdisciplinary problem unifying technical aspects measured by quantitative indicators and qualitative criteria including aesthetical, psychological, and physiological aspects, forming the atmosphere of each exhibit. Museum exhibition lighting is designed using the conceptual design method, which includes conventional design tools and innovative digital technology. The conceptual design method expresses itself in interdisciplinary, synthetic and synaesthesia forms. Educational and art projects of the Stroganov Academy have accumulated a significant experience in solving different problems of museum environment light design on associative conceptual basis. A lighting system becomes: -An object of traditional art design; -A light design exhibit; An interactive light-and-colour environment of a museum; -A synthetic environment of a park museum; -A basis of new art styles like light art and science art, media installations and 3D mapping; -Creator of a new image of a digital museum, etc. As a result, light becomes a link connecting the entire humanitarian system of a museum: its scientific, historical, educational, aesthetical and engineering components. Interdisciplinary forms of light functioning (from conventional light design to digital media and interactive projects) are limitless and will grow providing the museum environment with more new forms of information presentation and perception constantly balancing between easel and applied versions. |
2,389 | Analog-to-Digital Converter Design Exploration for Compute-in-Memory Accelerators | This article comprehensively investigates analog-to-digital converter (ADC) design for compute-in-memory array. The authors show that 6-bit ADC precision is sufficient to guarantee no loss of accuracy for large arrays, while achieving the best tradeoff between hardware performance and area overhead, compared to prior state-of-the-art designs. |
2,390 | Fabrication and characterization of a succinyl mung bean protein and arabic gum complex coacervate for curcumin encapsulation | The present study developed a novel complex coacervate based on succinyl mung bean protein (SMBP) and gum arabic (GA) to encapsulate curcumin. The optimum pH and succinylprotein/polysaccharide ratio for complex coacervation were 3.0 and 1:1, respectively, measured by turbidity evaluation. Fluorescence spectroscopy depicted that the curcumin was loaded in the hydrophobic core of SMBP/GA. The evaluated FTIR and XRD showed that the encapsulation of curcumin in the complex coacervate hydrophobic core was successful, followed by minor changes in SMBP conformation caused by the succinylation process. The zeta potential showed that the succinylation of MBP led to a decrease in the zeta potential of SMBP and confirmed that the SMBP/GA was produced successfully at pH 3.0. The EE and LA of c-SMBP/GA were 99.79 ± 0.03 % and 24.94 ± 0.05 μg·mg-1, respectively, which were significant. SMBP showed enhanced antioxidant activity compared with MBP, and c-MBP/GA showed significant antioxidant activity measured by ABTS and DPPH radical scavenging assays. SMBP is a biopolymer that can be used to encapsulate bioactive compounds like curcumin and shows enhanced antioxidant activity. The c-SMBP/GA is a promising tool for encapsulating curcumin in food matrices with enhanced dispersity characteristics and release behavior. |
2,391 | Spatiotemporally Explicit Mapping of Built Environment Stocks Reveals Two Centuries of Urban Development in a Fairytale City, Odense, Denmark | The urban built environment stocks such as buildings and infrastructure provide essential services to urban residents, and their spatiotemporal dynamics are key to the circular and low-carbon transition of cities. However, spatiotemporally explicit characterization of urban built environment stocks remains hitherto limited, and previous studies on fine-grained mapping of built environment stocks often focus on an urban area without consideration of temporal dynamics. Here, we combined the emerging geospatial data and historical maps to quantify the spatially and temporally refined stocks of buildings and infrastructure and developed a novel indexing method to track the construction, demolition, and renovation for each building across various historical snapshots, with a case study of Odense, Denmark, from 1810 to 2018. We show that built environment stock in Odense increased from 80 t/cap in 1810 to 279 t/cap in 2018. Their dynamics appear overall in line with urban development of Odense over the past two centuries and well reflect the combined effects of industrialization, infrastructure development, socioeconomic characteristics, and policy interventions. Such spatiotemporally explicit stock mapping offers a physical and resource perspective for measuring urbanization and provides the public and government insight into urban spatial planning and related resource, waste, and climate strategies. |
2,392 | F-TIMER: Fast Tensor Image Morphing for Elastic Registration | We propose a novel diffusion tensor imaging (DTI) registration algorithm, called fast tensor image morphing for elastic registration (F-TIMER). F-TIMER leverages multiscale tensor regional distributions and local boundaries for hierarchically driving deformable matching of tensor image volumes. Registration is achieved by utilizing a set of automatically determined structural landmarks, via solving a soft correspondence problem. Based on the estimated correspondences, thin-plate splines are employed to generate a smooth, topology preserving, and dense transformation, and to avoid arbitrary mapping of nonlandmark voxels. To mitigate the problem of local minima, which is common in the estimation of high dimensional transformations, we employ a hierarchical strategy where a small subset of voxels with more distinctive attribute vectors are first deployed as landmarks to estimate a relatively robust low-degrees-of-freedom transformation. As the registration progresses, an increasing number of voxels are permitted to participate in refining the correspondence matching. A scheme as such allows less conservative progression of the correspondence matching towards the optimal solution, and hence results in a faster matching speed. Compared with its predecessor TIMER, which has been shown to outperform state-of-the-art algorithms, experimental results indicate that F-TIMER is capable of achieving comparable accuracy at only a fraction of the computation cost. |
2,393 | Aerobic granular sludge - state of the art | In September 2006, preliminary to the IWA biofilm conference, a second workshop about aerobic granular sludge was held in Delft, The Netherlands, of which a summary of the discussion outcomes is given in this paper. The definition of aerobic granular sludge was discussed and complemented with a few additional demands, Further topics were formation and morphology of aerobic granular sludge, modelling and use of the aerobic granular sludge in practice. |
2,394 | Sensitive colorimetric assay of hydrogen peroxide and glucose in humoral samples based on the enhanced peroxidase-mimetic activity of NH2-MIL-88-derived FeS2@CN nanocomposites compared to its precursors | By employing NH2-MIL-88 as a template, we synthesized the intermediate Fe@CN under high-temperature calcination and further fabricated the FeS2@CN nanocomposites in the presence of sulfur powder. Under varying temperatures (300-600 °C) and Fe@CN-to-S ratios (1:3-6), FeS2@CN500-5 nanocomposites had the highest peroxidase-mimetic activity. Under optimized conditions (incubation temperature 40 °C; solution pH 4.0 and nanocomposite concentration 10 μg/mL; 652-nm absorption), the Michaelis-Menten constant (Km) of FeS2@CN was much lower than that of horseradish peroxidase (HRP), therefore demonstrating that it had a higher affinity for both chromogenic substrates than conventional HRP. The limits of detection for H2O2 and glucose were 0.15 and 0.30 μmol/L, respectively, and the recoveries for glucose were 91.8-103% with RSDs <5.2%. The novelty of this study lies in (1) the FeS2@CN was confirmed to possess stronger enzyme-mimetic activity than its precursors (NH2-MIL-88 and Fe@CN); (2) the enhanced activity resulted from the unsaturated sites of N and S doping and the plentiful defects on the porous carbon surface; and (3) free radical trapping experiments evidenced that •OH played a major role in the catalytic reaction, while h+ and •O2- simultaneously participated in the catalytic process. These convincing performance metrics lead us to postulate that the FeS2@CN-based colorimetric biosensor provides a promising approach for several real-world applications, such as point-of-care diagnosis and workplace health evaluations. |
2,395 | Online Learning and Classification of EMG-Based Gestures on a Parallel Ultra-Low Power Platform Using Hyperdimensional Computing | This paper presents a wearable electromyographic gesture recognition system based on the hyperdimensional computing paradigm, running on a programmable parallel ultra-low-power (PULP) platform. The processing chain includes efficient on-chip training, which leads to a fully embedded implementation with no need to perform any offline training on a personal computer. The proposed solution has been tested on 10 subjects in a typical gesture recognition scenario achieving 85% average accuracy on 11 gestures recognition, which is aligned with the state-of-the-art, with the unique capability of performing online learning. Furthermore, by virtue of the hardware friendly algorithm and of the efficient PULP system-on-chip (Mr. Wolf) used for prototyping and evaluation, the energy budget required to run the learning part with 11 gestures is 10.04 mJ, and 83.2 mu J per classification. The system works with a average power consumption of 10.4 mW in classification, ensuring around 29 h of autonomy with a 100 mAh battery. Finally, the scalability of the system is explored by increasing the number of channels (up to 256 electrodes), demonstrating the suitability of our approach as universal, energy-efficient biopotential wearable recognition framework. |
2,396 | E-LOAM: LiDAR Odometry and Mapping With Expanded Local Structural Information | This paper investigates the real time LiDAR odometry and mapping (LOAM) problem in unstructured environments. We propose E-LOAM (LOAM with Expanded Local Structural Information), a paradigm which expands the pre-extracted geometric information with local point cloud information around the geometric feature points. State-of-the-art approaches usually extract pointed geometric features as the only correspondence primitives for point cloud scan-to-scan and scan-to-map registration. We argue that, in unstructured environments, sometimes, the extracted geometric features are too sparse for adequate point cloud registration. Therefore, E-LOAM expands the 'pointed' geometric correspondence primitives with the point clouds around them, i.e., the local point clouds in the voxel around the feature point. The local point clouds, approximated by a multivariate normal distribution, offer additional local structural information, on top of the pointed geometric information. Additionally, to enrich the sparse geometric features, we make use of the intensity information of point clouds, and extract the places with high intensity variations as additional feature points. Experimental results with the KITTI dataset show the efficacy of E-LOAM, when compared with state of the arts. We further implement E-LOAM on a real robot platform, and evaluate E-LOAM with in-field tests. |
2,397 | Wide Band-Gap Polymer Donors Functionalized with Unconventional Carbamate Side Chains for Polymer Solar Cells | Side-chain engineering with heteroatoms is not only effective in tuning frontier molecular orbitals, but also possible for forming secondary bonds which can be utilized to planarize the molecular backbone, hence, improving the photon absorption as well as charge-transport abilities of polymer solar-cell (PSC) materials. Herein, two types of unconventional side chains, namely carboxylate and carbamate, containing various heteroatoms are introduced to the thiophene bridges in high performance benzodithiophene (BDT) based donor polymers to from the novel polymers PTzTz-C and PTzTz-N, respectively. In these polymers, non-covalent O⋅⋅⋅S and N⋅⋅⋅H interactions induce a high tendency to aggregation. In a ternary-blend PSC with PTzTz-N added to the high-performance D18 : BTP-eC9 blend, complimentary absorption and improved thin-film morphology were observed with a top power conversion efficiency of 18.76 %, which is an improvement of almost 5 % over the D18 : BTP-eC9 binary blends. |
2,398 | ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising | With the advent of advances in self-supervised learning, paired clean-noisy data are no longer required in deep learning-based image denoising. However, existing blind denoising methods still require the assumption with regard to noise characteristics, such as zero-mean noise distribution and pixel-wise noise-signal independence; this hinders wide adaptation of the method in the medical domain. On the other hand, unpaired learning can overcome limitations related to the assumption on noise characteristics, which makes it more feasible for collecting the training data in real-world scenarios. In this paper, we propose a novel image denoising scheme, Interdependent Self-Cooperative Learning (ISCL), that leverages unpaired learning by combining cyclic adversarial learning with self-supervised residual learning. Unlike the existing unpaired image denoising methods relying on matching data distributions in different domains, the two architectures in ISCL, designed for different tasks, complement each other and boost the learning process. To assess the performance of the proposed method, we conducted extensive experiments in various biomedical image degradation scenarios, such as noise caused by physical characteristics of electron microscopy (EM) devices (film and charging noise), and structural noise found in low-dose computer tomography (CT). We demonstrate that the image quality of our method is superior to conventional and current state-of-the-art deep learning-based unpaired image denoising methods. |
2,399 | An efficient and light weight polynomial multiplication for ideal lattice-based cryptography | Ring-Learning With Errors (Ring-LWE) based cryptographic schemes such as signature, key exchange, and encryption require polynomial multiplication. This multiplication operation is the most time consuming and computationally rigorous process in Ring-LWE. In order to improve the efficiency of the Ring-LWE based schemes, most of the existing schemes use Fast Fourier Transform (FFT) based polynomial multiplication algorithm. It is known that Discrete Sine Transformation (DST) and Discrete Cosine Transformation (DCT) are faster than the FFT. The combination of DCT and DST is Discrete Trigonometric Transform (DTT). When we generalize DTT in terms of FFT form, it becomes Generalized Discrete Fourier Transform (GDFT). In this paper, we propose two new polynomial multiplication techniques using DTT and GDFT. When we applycircular convolutionandskew-circular convolutionon DTT or GDFT for the polynomial multiplication, it gives us wrong results. To overcome this issue, we usesymmetric convolutionoperation on DTT and GDFT. We implemented and compared the proposed polynomial multiplication schemes with the current state-of-the-art schemes in terms of computation and communication costs. The implementation results show that the proposed schemes DTT and GDFT perform more efficiently as compared to current state-of-the-art schemes in terms of computation and communication costs. |
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