Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a brain computer interface interface using multi-frequency visual stimulation and deep neural networks

This work proposes a Brain Computer Interface based on using multi-frequency visual stimulation and deep neural networks for signals classification. The use of multi-frequency stimulation, combined with a new proposed coding method codifying up to 220 commands, which could be used to create a large multi-command brain computer interface. The advantages this method for commands codification and classification performance is analyzed in a five commands Brain computer interface. The classification of the electroencephalographic signals used in the interface was performed using several algorithms. The outcomes reveal that the best classification algorithm is a deep neural network, which gives a classification accuracy of 97.78 %. This algorithm, also, allows establishing the most relevant features of the electroencephalographic signal spectrums for the classification and information extraction from the evoked potentials.
Clinical implications of food allergen thresholds

Food allergy has increased in recent decades and has a major impact on patients’ quality of life. There is currently no treatment in routine clinical practice, and patients are often faced with accidental reactions. Precautionary allergen labelling (PAL) has been used by the food industry to attempt to minimize this risk, although not standardized and often ambiguous. Estimating the risk of reacting to traces in foods is complicated by heterogeneous amounts of allergens in foods with precautionary labelling and individual variability in reaction thresholds. In recent years, oral food challenge studies have shown that low individual reaction thresholds do not necessarily correlate with severe reactions, and current understanding of thresholds is evolving with novel low‐dose challenge protocols better adapted to estimate them. Future tools to provide a better estimation of minimal eliciting doses, including basophil activation tests, may improve our management of food‐allergic patients.
GDP: Using Dataflow Properties to Accurately Estimate Interference-Free Performance at Runtime

Multi-core memory systems commonly share resources between processors. Resource sharing improves utilization at the cost of increased inter-application interference which may lead to priority inversion, missed deadlines and unpredictable interactive performance. A key component to effectively manage multi-core resources is performance accounting which aims to accurately estimate interference-free application performance. Previously proposed accounting systems are either invasive or transparent. Invasive accounting systems can be accurate, but slow down latency-sensitive processes. Transparent accounting systems do not affect performance, but tend to provide less accurate performance estimates. We propose a novel class of performance accounting systems that achieve both performance-transparency and superior accuracy. We call the approach dataflow accounting, and the key idea is to track dynamic dataflow properties and use these to estimate interference-free performance. Our main contribution is Graph-based Dynamic Performance (GDP) accounting. GDP dynamically builds a dataflow graph of load requests and periods where the processor commits instructions. This graph concisely represents the relationship between memory loads and forward progress in program execution. More specifically, GDP estimates interference-free stall cycles by multiplying the critical path length of the dataflow graph with the estimated interference-free memory latency. GDP is very accurate with mean IPC estimation errors of 3.4% and 9.8% for our 4- and 8-core processors, respectively. When GDP is used in a cache partitioning policy, we observe average system throughput improvements of 11.9% and 20.8% compared to partitioning using the state-of-the-art Application Slowdown Model.
Full-Duplex Relaying With Quantize-Map-and-Forward

The quantize-map-and-forward (QMF) has been recently proved to achieve the capacity of arbitrary networks within a bounded gap and optimal diversity-multiplex tradeoff performance. This paper investigates and analyzes the QMF for the full-duplex (FD) relaying. Different from previous works, the relay has no access to any instantaneous channel state information (CSI), and only the statistical CSI of all channels is available. A closed-form expression for the outage probability is then derived. Due to the non-smoothness of the resulting expression, an approximate one with the smooth outage performance is further given. However, the resulting one is non-convex in general, and four suboptimal solutions of the quantizer design are derived. For comparison, the FD relaying with hybrid QMF/decode-and-forward is also studied. Besides, when the direct transmission (DT) is not available in both schemes, outage probability analysis and optimal quantizer design are also investigated. Simulation results demonstrate the correctness and tightness of the derived closed-form expressions for outage probabilities and close-to-optimal performance of the suboptimal quantizer design with DT.
Molecular Cytogenetic Characterization of New Wheat—Dasypyrum breviaristatum Introgression Lines for Improving Grain Quality of Wheat

As an important relative of wheat (Triticum aestivum L), Dasypyrum breviaristatum contains novel high molecular weight glutenin subunits (HMW-GSs) encoded by Glu-1Vb genes. We identified new wheat—D. breviaristatum chromosome introgression lines including chromosomes 1Vb and 1VbL.5VbL by fluorescence in situ hybridization (FISH) combined with molecular markers. We found that chromosome changes occurred in the wheat—D. breviaristatum introgression lines and particularly induced the deletion of 5BS terminal repeats and formation of a new type of 5B-7B reciprocal translocation. The results imply that the D. breviaristatum chromosome 1Vb may contain genes which induce chromosomal recombination in wheat background. Ten putative high molecular weight glutenin subunit (HMW-GS) genes from D. breviaristatum and wheat—D. breviaristatum introgression lines were isolated. The lengths of the HMW-GS genes in Dasypyrum were significantly shorter than typical HMW-GS of common wheat. A new y-type HMW-GS gene, named Glu-Vb1y, was characterized in wheat—D. breviaristatum 1Vb introgression lines. The new wheat—D. breviaristatum germplasm displayed reduced plant height, increased tillers and superior grain protein and gluten contents, improved gluten performance index. The results showed considerable potential for utilization of D. breviaristatum chromosome 1Vb segments in future wheat improvement.
Prevalence of mcr-type genes among colistin-resistant Enterobacteriaceae collected in 2014-2016 as part of the INFORM global surveillance program

A set of 908 clinically derived colistin-resistant Enterobacteriaeae isolates collected worldwide in 2014–2016 were screened for the presence of the plasmid-borne mcr-1, mcr-2, mcr-3, mcr-4 and mcr-5 genes. In total 3.2% (29/908) of the collection were positive for mcr, including 27 Escherichia coli, 1 Klebsiella pneumoniae and 1 Enterobacter cloacae. Twenty-four isolates possessed genes from the mcr-1 family, including the original mcr-1 (n = 22), as well as mcr-1.2 (n = 1) and mcr-1.5 (n = 1), which each differ from mcr-1 by encoding single amino acid variations. Genes from the mcr-3 family were found in isolates from Thailand, including mcr-3.1 (n = 3) and mcr-3.2 (n = 1). An E. coli isolated from a patient with a urinary tract infection in Colombia contained the recently discovered mcr-5. The full colistin-resistant collection was tested against a panel of antimicrobial agents with ceftazidime-avibactam and tigecycline exhibiting the highest activity.
OF HEALTH AND HUMAN SERVICES Food and Drug Administration

testing results and behaviors and sexual activities. Focus group discussions and in-depth interviews will be used to examine experiences of participants in the RCT. The duration of the eligibility screener is estimated to be 5 minutes; the study registration process 5 minutes; the baseline survey 15 minutes; the reporting of home-test results 5 minutes; the follow-up surveys 10 minutes; the focus group discussion 1 hour and 30 minutes; and the in-depth interviews 1 hour and 15 minutes.
The Safety Rotor—An Electromechanical Rotor Safety System for Drones

We propose a novel rotor safety mechanism for rotary-wing small unmanned aerial vehicles, such as quadrotors, that avoids problems associated with cages, rotor shrouds, and obstacle avoidance safety systems. The system works by using a passively spinning hoop as a mechanical interference sensor; changes in hoop speed are detected with a reflective IR sensor, which triggers an electrodynamic braking circuit. Experiments demonstrated that the system can rapidly detect incipient collisions and bring the rotors of a retrofitted DJI Phantom 3 to a halt from flight speed within 0.06 s of contact. In testing with finger proxies and surface collisions, the safety rotor provided an effective mechanism for reducing the severity of rotor injuries during impact.
Short Mood and Feelings Questionnaire for screening children and adolescents for plastic surgery: cross-cultural validation study

ABSTRACT CONTEXT AND OBJECTIVE: Patient-reported outcome measurements assessing the emotional state of children and adolescents who seek plastic surgery are important for determining whether the intervention is indicated or not. The aim of this study was to cross-culturally adapt and validate the Short Mood and Feelings Questionnaire (child/adolescent and parent versions) for Brazilian Portuguese, test its psychometric properties and assess the emotional state of children and adolescents who seek plastic surgery. DESIGN AND SETTING: Cross-cultural validation study conducted in a plastic surgery outpatient clinic at a public university hospital. METHODS: A total of 124 consecutive patients of both sexes were selected between September 2013 and February 2014. Forty-seven patients participated in the cultural adaptation of the questionnaire. The final version was tested for reliability on 20 patients. Construct validity was tested on 57 patients by correlating the Short Mood and Feelings Questionnaire (child/adolescent and parent versions) with the Strengths and Difficulties Questionnaire and the Rosenberg Self-Esteem scale. RESULTS: The child/adolescent and parent versions of the Short Mood and Feelings Questionnaire showed Cronbach’s alpha of 0.768 and 0.874, respectively, and had good inter-rater reliability (intraclass correlation coefficient, ICC = 0.757 and ICC = 0.853, respectively) and intra-rater reliability (ICC = 0.738 and ICC = 0.796, respectively). CONCLUSIONS: The Brazilian-Portuguese version of the Short Mood and Feelings Questionnaire is a reproducible instrument with face, content and construct validity. The mood state and feelings among children and adolescents seeking cosmetic surgery were healthy.
Convective Systems Over the South China Sea: Cloud-Resolving Model Simulations

Abstract The two-dimensional version of the Goddard Cumulus Ensemble (GCE) model is used to simulate two South China Sea Monsoon Experiment (SCSMEX) convective periods [18–26 May (prior to and during the monsoon onset) and 2–11 June (after the onset of the monsoon) 1998]. Observed large-scale advective tendencies for potential temperature, water vapor mixing ratio, and horizontal momentum are used as the main forcing in governing the GCE model in a semiprognostic manner. The June SCSMEX case has stronger forcing in both temperature and water vapor, stronger low-level vertical shear of the horizontal wind, and larger convective available potential energy (CAPE). The temporal variation of the model-simulated rainfall, time- and domain-averaged heating, and moisture budgets compares well to those diagnostically determined from soundings. However, the model results have a higher temporal variability. The model underestimates the rainfall by 17% to 20% compared to that based on soundings. The GCE model-simulat.
Gemstone spectral imaging: determination of CT to ED conversion curves for radiotherapy treatment planning

The monochromatic images acquired by Gemstone spectral imaging (GSI) mode on the GE CT750 HD theoretically determines the computed tomography (CT) number more accurately than that of conventional scanner. Using the former, the CT number is calculated from (synthesized) monoenergetic X‐ray data. We reasoned that the monochromatic image might be applied to radiotherapy treatment planning (RTP) to calculate dose distribution more accurately. Our goal here was to provide CT to electron density (ED) conversion curves with monochromatic images for RTP. Therefore, we assessed the reproducibility of CT numbers, an important factor on quality assurance, over short and long time periods for different substances at varying energy. CT number difference between measured and theoretical value was investigated. The scanner provided sufficient reproducibility of CT numbers for dose calculation over short and long time periods. The CT numbers of monochromatic images produced by this scanner had reasonable values for dose calculation. The CT to ED conversion curve becomes linear with respect to the relationship between CT numbers and EDs as the energy increases. We conclude that monochromatic imaging from a fast switching system can be applied for the dose calculation, keeping Hounsfield units (HU) stability. PACS numbers: 87.55. ‐x, 87.55. ne, 87.57. N‐, 87.59. bd
A semi‐parametric Bayesian approach to average bioequivalence

Bioequivalence assessment is an issue of great interest. Development of statistical methods for assessing bioequivalence is an important area of research for statisticians. Bioequivalence is usually determined based on the normal distribution. We relax this assumption and develop a semi‐parametric mixed model for bioequivalence data. The proposed method is quite flexible and practically meaningful. Our proposed method is based on a mixture normal distribution and a non‐parametric Bayesian approach using a Dirichlet process mixture prior. A numerical example illustrates the use of our procedure. Copyright © 2006 John Wiley & Sons, Ltd.
Bereaved Family Members’ Perceptions of the Distressing Symptoms of Terminal Patients With Cancer

Background: Few data are available on bereaved family members’ perspective on the frequency of symptoms and degree of distress among terminal patients with cancer. Methods: We sent a questionnaire to 1472 bereaved family members of terminal patients with cancer in 20 general hospitals. The questionnaire asked them (1) to indicate which symptoms the patients had, (2) to rate on a 4-point scale the extent to which the symptom was distressing, as follows: 1 = not distressing, 2 = slightly distressing, 3 = quite distressing, and 4 = very distressing at the point of 2 weeks before the patient had died. Results: We analyzed 805 questionnaires for this study. Anorexia was the commonest symptom among terminal patients with cancer experienced by bereaved family members, followed by somnolence, weight loss, fatigue, and pain. Anorexia was the most distressing symptom among terminal patients with cancer experienced by bereaved family members, followed by weight loss, pain, edema, and dyspnea. Conclusions: Anorexia and weight loss were frequent symptoms and bereaved family members felt very distressing. Furthermore, there are not means of effective treatment now. Thus, we think that further study in this field is necessary.
On the Holographic Bound in Newtonian Cosmology

The holographic principle sets an upper bound on the total (Boltzmann) entropy content of the Universe at around 10123kB (kB being Boltzmann’s constant). In this work we point out the existence of a remarkable duality between nonrelativistic quantum mechanics on the one hand, and Newtonian cosmology on the other. Specifically, nonrelativistic quantum mechanics has a quantum probability fluid that exactly mimics the behaviour of the cosmological fluid, the latter considered in the Newtonian approximation. One proves that the equations governing the cosmological fluid (the Euler equation and the continuity equation) become the very equations that govern the quantum probability fluid after applying the Madelung transformation to the Schroedinger wavefunction. Under the assumption that gravitational equipotential surfaces can be identified with isoentropic surfaces, this model allows for a simple computation of the gravitational entropy of a Newtonian Universe. In a first approximation, we model the cosmological fluid as the quantum probability fluid of free Schroedinger waves. We find that this model Universe saturates the holographic bound. As a second approximation, we include the Hubble expansion of the galaxies. The corresponding Schroedinger waves lead to a value of the entropy lying three orders of magnitude below the holographic bound. Current work on a fully relativistic extension of our present model can be expected to yield results in even better agreement with empirical estimates of the entropy of the Universe.
HEVC-EPIC: Fast Optical Flow Estimation From Coded Video via Edge-Preserving Interpolation

This paper presents a method leveraging coded motion information to obtain fast, high quality motion field estimation. The method is inspired by a recent trend followed by a number of top-performing optical flow estimation schemes that first estimate a sparse set of features between two frames, and then use an edge-preserving interpolation scheme (EPIC) to obtain a piecewise-smooth motion field that respects moving object boundaries. In order to skip the time-consuming estimation of features, we propose to directly derive motion seeds from decoded HEVC block motion; we call the resulting scheme “HEVC-EPIC”. We propose motion seed weighting strategies that account for the fact that some motion seeds are less reliable than others. Experiments on a large variety of challenging sequences and various bit-rates show that HEVC-EPIC runs significantly faster than EPIC flow, while producing motion fields that have a slightly lower average endpoint error. HEVC-EPIC opens the door of seamlessly integrating HEVC motion into video analysis and enhancement tasks. When employed as input to a framerate upsampling scheme, the average Y-PSNR of the interpolated frames using HEVC-EPIC motion slightly outperforms EPIC flow across the tested bit-rates, while running an order of magnitude faster.
DeepMVS: Learning Multi-view Stereopsis

We present DeepMVS, a deep convolutional neural network (ConvNet) for multi-view stereo reconstruction. Taking an arbitrary number of posed images as input, we first produce a set of plane-sweep volumes and use the proposed DeepMVS network to predict high-quality disparity maps. The key contributions that enable these results are (1) supervised pretraining on a photorealistic synthetic dataset, (2) an effective method for aggregating information across a set of unordered images, and (3) integrating multi-layer feature activations from the pre-trained VGG-19 network. We validate the efficacy of DeepMVS using the ETH3D Benchmark. Our results show that DeepMVS compares favorably against state-of-the-art conventional MVS algorithms and other ConvNet based methods, particularly for near-textureless regions and thin structures.
Hypertension and Associated Factors in Rural and Urban Areas Mali: Data from the STEP 2013 Survey

Background Our study aims to estimate hypertension (HTN) prevalence and its predictors in rural and urban area. Methods We conducted a cross-sectional population-based study involving subjects aged 15 to 65 years. Collected data (sociodemographic, blood pressure, weight, height, and blood glucose) were analyzed using SPSS version 20. A logistic regression was conducted to look for factors associated with HTN. Results Mean was 47 years. High blood pressure (HBP) prevalence was 21.1 and 24.7%, respectively, in rural and urban setting. In rural area age group significantly predicted hypertension with age of 60 years having more-than-4-times risk of hypertension, whereas, in urban area age group, sex and body mass index were predictors with OR: HTN raising from 2.06 [1.24–3.43] for 30–44 years old to 7.25 [4.00–13.13] for 60 years and more using <30 years as reference. Female sex was protective with OR of 0.45 [0.29–0.71] and using normal weight as reference OR for overweight was 1.54 [1.04–2.27] and 2.67 [1.64–4.36] for obesity. Conclusion Hypertension prevalence is high and associated factors were age group in rural area and age group, female sex, and body mass index in urban area.
A seismic reference model for the crust and uppermost mantle beneath China from surface wave dispersion

Weisen Shen,1 Michael H. Ritzwoller,1 Dou Kang,2 YoungHee Kim,3 Fan-Chi Lin,4 Jieyuan Ning,2 Weitao Wang,5 Yong Zheng6 and Longquan Zhou7 1Department of Physics, University of Colorado at Boulder, Boulder, CO 80309, USA. E-mail: weisen.shen@levee.wustl. edu 2Institute of Theoretical and Applied Geophysics, School of Earth and Space Sciences, Peking University, Beijing 100871, China 3School of Earth and Environmental Sciences, Seoul National University, Seoul 151-742, South Korea 4Department of Geology and Geophysics, University of Utah, Salt Lake City, UT 84112-0102, USA 5Institute of Geophysics, Chinese Earthquake Administration, Beijing 100045, China 6State Key Laboratory of Geodesy and Earth’s Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Science, Wuhan 43077, China 7Chinese Earthquake Network Center, Chinese Earthquake Administration, Beijing 100045, China
l 1 l 2 l 3 l 4 l 5 ( a ) Class-Agnostic Temporal

The ability to capture temporal information has been critical to the development of video understanding models. While there have been numerous attempts at modeling motion in videos, an explicit analysis of the effect of temporal information for video understanding is still missing. In this work, we aim to bridge this gap and ask the following question: How important is the motion in the video for recognizing the action? To this end, we propose two novel frameworks: (i) class-agnostic temporal generator and (ii) motion-invariant frame selector to reduce/remove motion for an ablation analysis without introducing other artifacts. This isolates the analysis of motion from other aspects of the video. The proposed frameworks provide a much tighter estimate of the effect of motion (from 25% to 6% on UCF101 and 15% to 5% on Kinetics) compared to baselines in our analysis. Our analysis provides critical insights about existing models like C3D, and how it could be made to achieve comparable results with a sparser set of frames.