Miracle-dz/UniFAR-FTUs huggingface dataset:
Cardiovascular Consequences of Obesity and Type 2 Diabetes Soluble epoxide hydrolase inhibition improves coronary endothelial function and prevents the development of cardiac alterations in obese insulin-resistant mice

Clothilde Roche, Marie Besnier,* Roméo Cassel,* Najah Harouki, David Coquerel, Dominique Guerrot, Lionel Nicol, Emmanuelle Loizon, Isabelle Remy-Jouet, Christophe Morisseau, Paul Mulder, Antoine Ouvrard-Pascaud, Anne-Marie Madec, Vincent Richard, and Jeremy Bellien Institut National de la Santé et de la Recherche Médicale (INSERM) U1096, Rouen, France; University of Rouen, Institute for Research and Innovation in Biomedicine, Rouen, France; INSERM U1060-CarMeN/INRA 1235/Université Claude Bernard Lyon 1, Oullins, France; Department of Nephrology, Rouen University Hospital, Rouen, France; Department of Entomology and Nematology, and UCD comprehensive Cancer Center, University of California, Davis, California; and Department of Pharmacology, Rouen University Hospital, Rouen, France
Prevalence and Risk Factors of Depression among a Population of Economically-disadvantaged Fishermen in Teluk Bahang, Penang

Aims: To determine the prevalence and identify the risk factors of depression among a population of economically-disadvantaged fishermen in Teluk Bahang, Penang. Study Design: The research design for this study was analytical cross-sectional design. Place and Duration of Study: This research was conducted at five fishing villages (Teluk Bahang, Batu Feringghi, Tanjung Bungah, Tanjung Tokong and Gurney Drive) covered by Teluk Bahang Fishermen’s Association during four consecutive weekends in January 2017. Methodology: Using simple random sampling technique, we selected 242 male fishermen from five fishing villages of Teluk Bahang, who were aged 18 to 75 years old and registered under fishermen’s association to participate in this study. An interview session using a set of pre-validated questionnaire (including socio-demographic characteristics, Patient Health Questionnaire-9, and Kendler’s Stressful Live Events) was conducted face-to-face with the respondents. We analyzed bivariate associations using chi-square test, and fitted multivariate Original Research Article regression models to determine predictors of depression among the study population, using SPSS version 22. Results: The prevalence of depression in our study population was 10.7%. Multivariate logistic regression analysis revealed that the predictors of depression in this study were the level of education (aOR = 0.20, 95% CI 0.055 – 0.754, p=0.017), monthly income (aOR = 3.44, 95% CI 1.044 – 11.348, p=0.04), serious injury due to accident (aOR = 4.97, 95% CI 1.467 – 16.810, p=0.01), and serious problem at work (aOR = 0.13, 95% CI 0.041 – 0.396, p<0.001). Conclusion: The prevalence of depression in this study was consistent with previous studies in Malaysia, and indicates that depression is a serious problem among fishermen. The findings from this study may be valuable and useful as a benchmark for the development of an effective program to raise awareness and to minimize the stigma associated with depression among the fishermen community.
Voxel-based investigations of regional cerebral blood flow abnormalities in Alzheimer's disease using a single-detector SPECT system.

PURPOSE To evaluate the feasibility of using the Statistical Parametric Mapping (SPM) program for an automated, voxel-by-voxel assessment of regional cerebral blood flow (rCBF) deficits in Alzheimer's disease (AD) subjects relative to age-matched controls studied with a conventional, single-detector SPECT system. METHODS We used a databank of 99mTc-HMPAO images of 19 patients with a diagnosis of probable AD and 15 elderly healthy volunteers; data were acquired using an Orbiter-Siemens single-detector SPECT system. Using SPM, images were transformed spatially, smoothed (12mm), and the data were compared on a voxel-by-voxel basis with t-tests. RESULTS There were significant rCBF reductions in AD patients relative to controls involving regions predicted a priori to be affected in AD, namely the left temporal and parietal neocortices, and the right posterior cingulate gyrus (p<0.05, corrected for multiple comparisons). DISCUSSION The location of rCBF reductions in AD subjects in our study is consistent with the deficits detected in previous functional imaging studies of AD using higher-resolution devices. This suggests the potential usefulness of using SPM for the analysis of data acquired with single-detector SPECT systems, despite the limited sensitivity and spatial resolution of such equipment.
On the Performance of Joint Processing Schemes over the Cluster Area

In this paper, three joint processing schemes for the downlink are characterized and compared within a cluster of base stations. The motivation of this study is to analyze the performance of these schemes over the cluster area, as a first step towards designing an adaptive joint processing scheme supporting dynamic usage scenarios. Each one of the analyzed schemes, the centralized, partial and distributed joint processing approaches, requires a different amount of available channel knowledge at the transmitter side, inter-base information exchange and feedback from the users. In addition, these schemes show varying capabilities to serve the users depending on their location in the cluster area. Therefore, in a real scenario, an adaptive joint processing scheme encompassing the three schemes could be used by the cluster of base stations. Simulation results show that, assuming coherent transmission, the centralized joint processing scheme outperforms with 25% the partial joint processing scheme and with 50% the distributed joint processing approach in the cell edge when a backhaul-load weighted average sum-rate per cell metric is taken into account.
View Independent Vehicle Make, Model and Color Recognition Using Convolutional Neural Network

This paper describes the details of Sighthound's fully automated vehicle make, model and color recognition system. The backbone of our system is a deep convolutional neural network that is not only computationally inexpensive, but also provides state-of-the-art results on several competitive benchmarks. Additionally, our deep network is trained on a large dataset of several million images which are labeled through a semi-automated process. Finally we test our system on several public datasets as well as our own internal test dataset. Our results show that we outperform other methods on all benchmarks by significant margins. Our model is available to developers through the Sighthound Cloud API at this https URL
Towards large-scale, open-domain and ontology-based named entity classification

Named entity recognition and classication research has so far mainly focused on supervised techniques and has typically considered only small sets of classes with regard to which to classify the recognized entities. In this paper we address the classication of named entities with regard to large sets of classes which are specied by a given ontology. Our approach is unsupervised as it relies on no labeled training data and is open-domain as the ontology can simply be exchanged. The approach is based on Harris’ distributional hypothesis and, based on the vector-space model, it assigns a named entity to the contextually most similar concept from the ontology. The main contribution of the paper is a systematic analysis of the impact of varying certain parameters on such a context-based approach exploiting similarities in vector space for the disambiguation of named entities.
MuJava: an automated class mutation system

Several module and class testing techniques have been applied to object‐oriented (OO) programs, but researchers have only recently begun developing test criteria that evaluate the use of key OO features such as inheritance, polymorphism, and encapsulation. Mutation testing is a powerful testing technique for generating software tests and evaluating the quality of software. However, the cost of mutation testing has traditionally been so high that it cannot be applied without full automated tool support. This paper presents a method to reduce the execution cost of mutation testing for OO programs by using two key technologies, mutant schemata generation (MSG) and bytecode translation. This method adapts the existing MSG method for mutants that change the program behaviour and uses bytecode translation for mutants that change the program structure. A key advantage is in performance: only two compilations are required and both the compilation and execution time for each is greatly reduced. A mutation tool based on the MSG/bytecode translation method has been built and used to measure the speedup over the separate compilation approach. Experimental results show that the MSG/bytecode translation method is about five times faster than separate compilation. Copyright © 2004 John Wiley & Sons, Ltd.
Modular deep Recurrent Neural Network: Application to quadrotors

A modular deep Recurrent Neural Network (RNN) is introduced to facilitate the process of deploying various architectures of RNNs, and to automatically compute derivatives for gradient-based learning methods. The modularity leads to a set of new architectures, one of which includes feedforward inter-layer connections. By adding feedforward inter-layer connections in a multi-layer RNN, it is observed that the capability of the RNN to learn and model high-order dynamics and nonlinearities is significantly improved. The problem of vanishing/exploding gradient in space for a multilayer RNN is also alleviated using feedforward connections. These results are demonstrated using a quadrotor case study, for which a model of the altitude dynamics is learned with our particular network structure, while existing methods are unable to generalize as quickly or at all.
Preoperative Anxiety and Emergence Delirium and Postoperative Maladaptive Behaviors

Based on previous studies, we hypothesized that the clinical phenomena of preoperative anxiety, emergence delirium, and postoperative maladaptive behavioral changes were closely related. We examined this issue using data obtained by our laboratory over the past 6 years. Only children who underwent surgery and general anesthesia using sevoflurane/O2/N2O and who did not receive midazolam were recruited. Children’s anxiety was assessed preoperatively with the modified Yale Preoperative Anxiety Scale (mYPAS), emergence delirium was assessed in the postanesthesia care unit, and behavioral changes were assessed with the Post Hospital Behavior Questionnaire (PHBQ) on postoperative days 1, 2, 3, 7, and 14. Regression analysis showed that the odds of having marked symptoms of emergence delirium increased by 10% for each increment of 10 points in the child’s state anxiety score (mYPAS). The odds ratio of having new-onset postoperative maladaptive behavior changes was 1.43 for children with marked emergence status as compared with children with no symptoms of emergence delirium. A 10-point increase in state anxiety scores led to a 12.5% increase in the odds that the child would have a new-onset maladaptive behavioral change after the surgery. This finding is highly significant to practicing clinicians, who can now predict the development of adverse postoperative phenomena, such as emergence delirium and postoperative behavioral changes, based on levels of preoperative anxiety.
Effect of Acid Hydrolysis Conditions on the Properties of Cellulose Nanoparticle-Reinforced Polymethylmethacrylate Composites

Cellulose nanoparticles (CNPs) were prepared from microcrystalline cellulose using two concentration levels of sulfuric acid (i.e., 48 wt% and 64 wt% with produced CNPs designated as CNPs-48 and CNPs-64, respectively) followed by high-pressure homogenization. CNP-reinforced polymethylmethacrylate (PMMA) composite films at various CNP loadings were made using solvent exchange and solution casting methods. The ultraviolet-visible (UV-vis) transmittance spectra between 400 and 800 nm showed that CNPs-64/PMMA composites had a significantly higher optical transmittance than that of CNPs-48/PMMA. Their transmittance decreased with increased CNP loadings. The addition of CNPs to the PMMA matrix reduced composite’s coefficient of thermal expansion (CTE), and CNPs-64/PMMA had a lower CTE than CNPs-48/PMMA at the same CNP level. Reinforcement effect was achieved with the addition of CNPs to the PMMA matrix, especially at higher temperature levels. CNPs-64/PMMA exhibited a higher storage modulus compared with CNPs-48/PMMA material. All CNP-reinforced composites showed higher Young’s modulus and tensile strengths than pure PMMA. The effect increased with increased CNP loadings in the PMMA matrix for both CNPs-64/PMMA and CNPs-48/PMMA composites. CNPs affected the Young’s modulus more than they affected the tensile strength.
An Extremal Inequality Motivated by Multiterminal Information Theoretic Problems

We prove a new extremal inequality, motivated by the vector Gaussian broadcast channel and the distributed source coding with a single quadratic distortion constraint problem. As a corollary, this inequality yields a generalization of the classical vector entropy-power inequality (EPI). As another corollary, this inequality sheds insight into maximizing differential entropy of a sum of jointly distributed random variables, generalizing a classical result of Cover and Zhang
Taxonomy Beats Corpus in Similarity Identification, but Does It Matter?

We present extensive evaluations comparing the performance of taxonomy-based and corpus-based approaches on SimLex- 999. The results confirm our hypothesis that taxonomy-based approaches are more suitable to identify similarity. We introduce two new measures of evaluation that show that all measures perform well on a coarse-grained evaluation and that it is not always clear which approach is most suitable when a similarity score is used as a threshold. This leads us to conclude that the inferior performance of corpus-based approaches may not (always) matter.
Countering Plagiarism by Exposing Irregularities in Authors' Grammar

Unauthorized copying or stealing of intellectual propierties of others is a serious problem in modern society. In case of textual plagiarism, it becomes more and more easier to find appropriate sources using the huge amount of data available through online databases. To counter this problem, the two main approaches are categorized as external and intrinsic plagiarism detection, respectively. While external algorithms have the possibility to compare a suspicious document with numerous sources, intrinsic algorithms are allowed to solely inspect the suspicious document in order to predict plagiarism, which is important especially if no sources are available. In this paper we present a novel approach in the field of intrinsic plagiarism detection by analyzing syntactic information of authors and finding irregularities in sentence constructions. The main idea follows the assumption that authors have their mostly unconsciously used set of how to build sentences, which can be utilized to distinguish authors. Therefore the algorithm splits a suspicious document into single sentences, tags each word with part-of-speech (POS) classifiers and creates POS-sequences representing each sentence. Subsequently, the distance between every distinct pair of sentences is calculated by applying modified sequence alignment algorithms and stored into a distance matrix. After utilizing a Gaussian normal distribution function over the mean distances for each sentence, suspicious sentences are selected, grouped and predicted to be plagiarized. Finally, thresholds and parameters the algorithm uses are optimized by applying genetic algorithms. The approach has been evaluated against a large test corpus of English documents, showing promising results.
Phase Transitions and Computational Difficulty in Random Constraint Satisfaction Problems

We review the understanding of the random constraint satisfaction problems, focusing on the q-coloring of large random graphs, that has been achieved using the cavity method of the physicists. We also discuss the properties of the phase diagram in temperature, the connections with the glass transition phenomenology in physics, and the related algorithmic issues.
Family Support of Immigrant Punjabi Women With Breast Cancer

Women with breast cancer have been found to rely heavily on family members for providing support during their illness experiences. There has been limited research on ethnocultural families' experiences of illness and how these families respond to a diagnosis of breast cancer. This study examined the experiences and responses of family members of immigrant Punjabi women diagnosed with breast cancer. Through interviews with 19 Punjabi women diagnosed with breast cancer and 18 family members, key practical and emotional support strategies were described. Recommendations for culturally appropriate, family-centered models of care are provided that acknowledge breast cancer as a family event.
Notch as a Possible Cell Differentiation Factor in Pleomorphic Adenomas

The expression of Notch in 30 cases of pleomorphic adenoma was examined by immunohistochemistry. Comparing the results of our study with previous literatures, from the partial CK7 expression and substantial Notch expression in ductal epithelial cells as well as the Notch expression in solid tumor nests, it can be inferred that Notch is involved in cell differentiation. CK13 expression was observed in cells undergoing squamous metaplasia and Notch expression was seen in the nucleus of basal and squamous cells. The intense Notch expression in basal cells and weak expression in squamous cells suggests that Notch is involved in the differentiation from basal to squamous cell. Moreover, the loss of nuclear expression on the inner layer would signify that differentiation is about to end or has been terminated. Notch was expressed in the cytoplasm of cartilage cells and in the cell membrane of mucous cells but not in the nucleus indicating that differentiation has been concluded. Notch involvement is suspected in cell differentiation in areas showing ductal structures and squamous metaplasia. In summary, Notch is involved in cell differentiation of ductal cells in PA. Nuclear expression was shown in tumor cells in solid nests and surrounding structures. Moreover, Notch is expressed by basal cells undergoing squamous metaplasia suggesting the participation of Notch in cell differentiation in PA.
Congenital Cataract Causing Mutants of αA-Crystallin/sHSP Form Aggregates and Aggresomes Degraded through Ubiquitin-Proteasome Pathway

Background Mutations of human αA-crystallin cause congenital cataract by protein aggregation. How mutations of αA-crystallin cause disease pathogenesis through protein aggregation is not well understood. To better understand the cellular events leading to protein aggregation, we transfected cataract causing mutants, R12C, R21L, R21W, R49C, R54C, R116C and R116H, of human αA-crystallin in HeLa cells and examined the formation of intracellular protein aggregates and aggresomes by confocal microscopy. Methodology/Principal Findings YFP-tagged human αA-wild-type (αA-wt) was sub-cloned and the mutants were generated by site-directed mutagenesis. The αA-wt and the mutants were individually transfected or co-transfected with CFP-tagged αA-wt or αB-wild-type (αB-wt) in HeLa cells. Overexpression of these mutants forms multiple small dispersed cytoplasmic aggregates as well as aggresomes. Co-expression of αB-wt with these mutants significantly inhibited protein aggregates where as co-expression with αA-wt enhanced protein aggregates which seems to be due to co-aggregation of the mutants with αA-wt. Aggresomes were validated by double immunofluorescence by co-localization of γ-tubulin, a centrosome marker protein with αA-crystallin. Furthermore, increased ubiquitination was detected in R21W, R116C and R116H as assessed by western blot analyses. Immunostaining with an ubiquitin antibody revealed that ubiquitin inclusions in the perinuclear regions were evident only in R116C transfected cells. Pulse chase assay, after cycloheximide treatment, suggested that R116C degraded faster than the wild-type control. Conclusions/Significance Mutants of αA-crystallin form aggregates and aggresomes. Co-expression of αA-wt with the mutants increased aggregates and co-expression of αB-wt with the mutants significantly decreased the aggregates. The mutant, R116C protein degraded faster than wild-type control and increased ubiquitination was evident in R116C expressing cells.
Ieee Transactions on Wireless Communications, Accepted for Publication on the Interplay between Spatial Reuse and Network Coding in Wireless Networks

—This paper studies the interplay between network coding and spatial reuse in wireless mesh networks. We present a method that attempts to maximize the system performance by exploiting effectively (and not greedily) coding opportunities through appropriate routing and achieving efficient spectrum reuse through opportunistic link scheduling. We show that judiciously selecting coding structures requires proper transmission power allocation to better manage cumulative interference in the network, and thus yield better spectrum spatial reuse and effective multi-hop system throughput. We present an optimization model for this complex design problem, which relies on the enumeration of all possible schedules and decompose it into subproblems which we can solve more efficiently. Our numerical results indicate that optimal joint coding and scheduling with proper power allocation yields a performance enhancement of more than 10% over that with maximal power transmission and more than 45% enhancement over a coding oblivious design model. Our results also revealed that network coding has only marginal benefits (∼ 6%) in a dense network and that in such networks managing interference through proper power allocation yields very good performance.
A new report of the early Palaeozoic hornblendite in South China and its tectonic significance

Outcrops of early Palaeozoic mafic rocks are limited in the South China Block (SCB), which become a barrier to unlock the related tectonic evolutionary history. We present a new report of early Palaeozoic Pengxi hornblendite at Xiajiang County, Jiangxi Province, in this paper. The Pengxi hornblendite has a concordant zircon U–Pb age of 433 ± 2 Ma (40 grains) which could represent its formation time. It is characterized by high MgO content (16.8–19.6 wt.%) and Mg# (78–80), compatible elements concentration (Ni = 280–506 ppm, Cr = 1,580–1,780 ppm), and evident depletions of Nb, Ta, and Ti which are similar to the arc‐related magmatism. Combining with the enriched Nd (εNd(t) = −5.3 to −7.8) isotopic feature, we suggest that the hornblendite was derived from partial melting of metasomatized subcontinental lithospheric mantle (SCLM). The lack of other field geological evidences in the study and adjacent areas, such as volcanic rocks, pyroclastic sedimentary rocks, and turbidites, did not support the contemporaneous subduction model. The study area is located near the boundary of the Yangtze and Cathaysia blocks which was a Neoproterozoic subduction belt characterized by ophiolites, volcanic rocks, and turbidites. Mafic rocks formed at different periods (e.g., 800, 500, and 430 Ma) in the SCB have similar enriched Nd isotopic compositions and La/Nb ratios which suggest that the Silurian hornblendite with arc‐like geochemical features may not be the result of contemporaneous subduction but likely inherited from the Neoproterozoic subduction. During Silurian post‐orogenic collapse event, the partial melting of enriched SCLM generated the Pengxi hornblendite. This work can provide new data to the further discussion of the controversies in the tectonic background of the SCB.