Miracle-dz/UniFAR-FTUs huggingface dataset:
Person Depth ReID: Robust Person Re-identification with Commodity Depth Sensors

This work targets person re-identification (ReID) from depth sensors such as Kinect. Since depth is invariant to illumination and less sensitive than color to day-by-day appearance changes, a natural question is whether depth is an effective modality for Person ReID, especially in scenarios where individuals wear different colored clothes or over a period of several months. We explore the use of recurrent Deep Neural Networks for learning high-level shape information from low-resolution depth images. In order to tackle the small sample size problem, we introduce regularization and a hard temporal attention unit. The whole model can be trained end to end with a hybrid supervised loss. We carry out a thorough experimental evaluation of the proposed method on three person re-identification datasets, which include side views, views from the top and sequences with varying degree of partial occlusion, pose and viewpoint variations. To that end, we introduce a new dataset with RGB-D and skeleton data. In a scenario where subjects are recorded after three months with new clothes, we demonstrate large performance gains attained using Depth ReID compared to a state-of-the-art Color ReID. Finally, we show further improvements using the temporal attention unit in multi-shot setting.
Gouvernance des projets open source

and fork, we propose two sets of case studies, the first ones about major projects discussed in the scientific literature, the second ones about a set of forks. On this basis, we develop various ways to limit the risk of forks, identify four logics of open source governance, discuss the interest of inner source strategies to organize a transition between proprietary and open source strategies, show similarities in terms of needs in governance between open source software and open source innovation projects, and further stress the impact of the governance on competition.
The Impact of Combining Kinesthetic and Facial Expression Displays on Emotion Recognition by Users

Several studies have investigated the relevance of haptics to convey various types of emotions physically. This article investigates the improvement of the recognition rate of emotions using visuo-haptic feedback compared to facial and haptic expressions alone. Four experiments were conducted in which the recognition rates of emotions using facial, haptic and visuo-haptic expressions were tested. The first experiment evaluates the recognition rate of emotions using facial expressions. The second experiment collects a large corpus of 3D haptic expressions of certain emotions and subsequently identifies the relevant haptic expression for each emotion. The third experiment evaluates the selected haptic expressions through statistical and perceptive tests to retain the ones that result in the most accurate identification of the corresponding emotion. Finally, the fourth experiment studies the effect of visuo–haptic coupling on the recognition of the investigated emotions. Generally, emotions with high amplitudes of pleasure are better recognized in the visual modality. However, emotions with high activation are better recognized in the haptic modality. These results also highlighted the finding that participants are not equally aided by each modality when recognizing emotions efficiently. Beyond the recognition rate, multimodal expressions improved the sensation of presence and expressivity.
Combined RF and multilevel PWM switch mode power amplifier

This paper presents a novel power amplifier (PA) architecture based on the combination of radio frequency pulse width modulation (RFPWM) and multilevel PWM. The architecture provides better dynamic range at high carrier frequency compared to RFPWM. The benefits of this architecture over multilevel PWM are that it only requires a single PA and no combiner. The average efficiency for an 802.11g baseband signal is better than multilevel PWM. Our results also shows that the proposed technique exhibit a constant dynamic range at carrier frequency of 3, 4 and 5 GHz, in contrast to RFPWM which shows a decrease in dynamic range for increase in carrier frequency.
A consumer's guide to causal modeling: Part I.

their of the world. phenomena and design research studies to In in what certain outcomes to occur. direct way to establish cause and effect to design an experiment. In to be an experiment, the have a control (or comparison) group and at one experimental (or treatment) group; be assigned to groups randomly, by choice of the subject or the investigator; the the independent variable so that the experimental group gets the treatment and the control group
Sevoflurane reduces myocardial infarct size and decreases the time threshold for ischemic preconditioning in dogs.

BACKGROUND Recent evidence indicates that volatile anesthetics exert protective effects during myocardial ischemia and reperfusion. The authors tested the hypothesis that sevoflurane decreases myocardial infarct size by activating adenosine triphosphate-sensitive potassium (K(ATP)) channels and reduces the time threshold of ischemic preconditioning necessary to protect against infarction. METHODS Barbiturate-anesthetized dogs (n = 75) were instrumented for measurement of aortic and left ventricular pressures and maximum rate of increase of left ventricular pressure and were subjected to a 60-min left anterior descending (LAD) coronary artery occlusion followed by 3-h reperfusion. In four separate groups, dogs received vehicle or the K(ATP) channel antagonist glyburide (0.1 mg/kg intravenously), and 1 minimum alveolar concentration sevoflurane (administered until immediately before coronary artery occlusion) in the presence or absence of glyburide. In three additional experimental groups, sevoflurane was discontinued 30 min (memory) before the 60-min LAD occlusion or a 2-min LAD occlusion as an ischemic preconditioning stimulus was used with or without subsequent sevoflurane (with memory) pretreatment. Regional myocardial perfusion and infarct size were measured with radioactive microspheres and triphenyltetrazolium staining, respectively. RESULTS Vehicle (23 +/- 1% of the area at risk; mean +/- SEM) and glyburide (23 +/- 2%) alone produced equivalent effects on myocardial infarct size. Sevoflurane significantly (P < 0.05) decreased infarct size (13 +/- 2%). This beneficial effect was abolished by glyburide (21 +/- 3%). Neither the 2-min LAD occlusion nor sevoflurane followed by 30 min of memory were protective alone, but together, sevoflurane enhanced the effects of the brief ischemic stimulus and profoundly reduced infarct size (9 +/- 2%). CONCLUSION Sevoflurane reduces myocardial infarct size by activating K(ATP) channels and reduces the time threshold for ischemic preconditioning independent of hemodynamic effects in vivo.
Ocular associations of metabolic syndrome

Metabolic syndrome is a cluster of diseases including central obesity, dyslipidemia, hyperglycemia, and high blood pressure. People with metabolic syndrome have been shown to be at an increased risk of developing cardiovascular disease, beyond the risk associated with individual components of the syndrome. The association of diabetes and hypertension with retinopathy, cataract, and raised intraocular pressure is well known. This review highlights the association of metabolic syndrome, including all its components, with various ocular conditions such as retinopathy, central retinal artery occlusion, cataracts, and raised intraocular pressure.
Cognitive patterns and depression: Study of a Japanese university student population

Abstract According to Beck’s cognitive theory, individuals who endure negative self‐schemas (dysfunctional attitudes) are more likely to present automatic thoughts consisting of negative schemata of oneself and one’s world while experiencing depression. In order to examine the relationships between depression, automatic thought, and dysfunctional attitude, 329 Japanese university students were given a set of questionnaires, including the Center for Epidemiologic Studies Depression Scale (CES‐D), Automatic Thought Questionnaire‐revised (ATQ‐R), and Dysfunctional Attitude Scale (DAS). A structural equation model revealed that depression was predicted predominantly by automatic thought, which was in turn predicted by dysfunctional attitude. The male gender had a tendency to predict dysfunctional attitude. The link between a student’s depression and dysfunctional attitude was mediated by automatic thought.
Community metabolism, phytoplankton size structure and heterotrophic prokaryote production in a highly productive upwelling zone off northern Chile

We investigated the ecological factors affecting net ecosystem metabolism (as the ratio of gross primary production to community respiration) by studying functional relationships between total and fractionated autotrophic biomass, heterotrophic prokaryote production, nutrients and net ecosystem metabolism, considering short-term (daily) and seasonal scales of variability in oceano- graphic conditions and wind stress. These studies were performed at 2 coastal upwelling sites off northern Chile (Chipana, ~21° S; Mejillones, ~23° S) in winter 2005, summer 2006, winter 2006 and summer 2007. Changes in the direction and persistence of the upwelling, which is driven by wind stress on a synoptic scale (6 d), appeared to be an important factor modulating phytoplankton size structure. Gross primary production did not show seasonality, probably because of the permanent equatorward wind regime off northern Chile. The phytoplankton community was dominated by the microphytoplankton size fraction (>20 µm), which was largely responsible for the variability of the total phytoplankton biomass. We found that the increase in contribution of large phytoplankton cells could generate net autotrophy in response to increased nitrate concentrations in the mixed layer, emphasizing that the degree of decoupling between gross primary production and community respi- ration may be primarily controlled by upwelling. Our results showed that the degree of coupling between heterotrophic prokaryote production and gross primary production as well as the amount of organic matter processed by prokaryotes vary with changes in the dominance of autotrophic and het- erotrophic processes in the microplanktonic community.
Bulk statistics of stable and decaying Taylor-Couette turbulence

In this talk we focus on the velocity fluctuations in highly turbulent Taylor-Couette flow for the case of stable flow (constant rotation) and for decaying flow. Turbulent flows are generally characterized by the range of scales of their fluctuations, and a statistical description of the flow is often done by calculating the correlations of velocity fluctuations. These correlations are found to behave like power-laws over a range of scales, and their exponents characterize a certain geometry of flow. Many systems have been investigated carefully: Pipe-flow, Von Karman flow, Rayleigh Benard convection, \textit{et cetera}. There are, however, few reports \cite{lew99,she01} quantifying the turbulent properties in Taylor-Couette flow. In the presented work \cite{huisman2013b} we measure the longitudinal structure functions using laser Doppler anemometry, which is a non-intrusive technique and is able to measure the components of the velocity, and thus ideal for obtaining structure functions and the local velocity. We present the statistics of the turbulent velocity fluctuations for counter rotation for varying $a=-\omega_o/\omega_i$.
Introduction to R

This is a guide to getting started in R. First, basic le commands and R conventions are reviewed. Second, elementary statistical operations are illustrated. Third, the use of graphics packages are demonstrated. Fourthly, data creation, import, and manipulation are discussed. Finally, the use of editors, GUIs, and other R functions are brie y presented. This material was developed for the Introduction to R workshop, presented with Harrison Dekker, at the IASSIST Annual Conference, May 31, 2011, held in Vancouver, Canada. 1 Preliminaries This document presents illustrative examples of R code. A le (Intropduction_to_R.R) containing the R commands necessary to reproduce the results is available on my personal home page. This may be useful for executing commands via cut-and-paste, or for review. This workshop presents a compressed version of material used in my three-part workshop series at Rutgers. If you are interested in reviewing the longer version, see my R Libguide. There are many useful references to R, but this document in particular relies on the author's study of three books, R for SAS and SPSS Users (Mue09), Data Manipulation with R (Spe08), and Introductory Statistics with R (Dal08). In addition, the books ggplot2: Elegant Graphics for Data Analysis (Wic09) and Lattice: Multivariate Data Analysis with R (Sar08) provide comprehensive descriptions of their respective graphics packages, written by the authors of the packages themselves. If you do not already have R, obtaining and installing it is easy. Since R is open source software, licensed under the GPL, you can use it freely for just about anything except creating closed source software. Information about R is available at the R project site, and the software itself is downloadable from CRAN, the Comprehensive R Archive Network, comprised of synchronized mirror sites around the world. Also, the freedom of open source means that you can install R in as many locations as you like: all of your public workstations, your web servers, your home machines, your netbook,USB drives, your friends' machines, . you get the idea. You can download Windows, Linux, or Mac versions. The Windows version of the base package is a self-contained executable containing all necessary les to get your R installation running. The contrib package contains additional modules, or packages, as they are known in R parlance. It is usually easier to download and install packages individually as you need them, as explained below. In Linux, it is possible to install R from source, but it will usually be more convenient to wait for the latest version to be packaged for release in a major Linux distribution, such as Ubuntu or Fedora, and to download and install it using that distribution's tools. This simpli es the resolution of dependencies and staying current with updates. Rpms and . deb les are also available from CRAN, but may not always be in sync with the latest R version. The Mac version is also available at CRAN as a downloadable package, although the author has little experience with it.
COOLL: Controlled On/Off Loads Library, a Public Dataset of High-Sampled Electrical Signals for Appliance Identification

This paper gives a brief description of the Controlled On/Off Loads Library (COOLL) dataset. This latter is a dataset of high-sampled electrical current and voltage measurements representing individual appliances consumption. The measurements were taken in June 2016 in the PRISME laboratory of the University of Orleans, France. The appliances are mainly controllable appliances (i.e. we can precisely control their turn-on/off time instants). 42 appliances of 12 types were measured at a 100 kHz sampling frequency.
Direct dating of pottery from its organic residues: new precision using compound-specific carbon isotopes

Techniques for identifying organic residues in pottery have been refined over the years by Professor Evershed and his colleagues. Here they address the problem of radiocarbon dating these residues by accelerator mass spectrometry (AMS) which in turn dates the use of the pot. Fatty acids from carcass and dairy products cooked in the pot were isolated from early Neolithic carinated bowls found at the Sweet Track, Somerset Levels, England, and then dated by AMS. The results were very consistent and gave an excellent match to the dendrochronological date of the trackway. The method has wide potential for the precise dating of pottery use on sites.
A frequency-domain study of lock range of harmonic oscillators with multiple injections

This paper presents a frequency-domain study of the lock range of harmonic oscillators with multiple injections. The intrinsic relation between the lock range of harmonic oscillators with multiple injections and that with a single injection is obtained. We show that harmonic oscillators with multiple injections exhibit a larger lock range as compared with those with single injection if the phases of the injection signals is properly chosen. The findings are validated using LC oscillators with single injection and dual injections designed in IBM 130 nm 1.2 V CMOS technology.
MIMO Systems with Limited Rate Differential Feedback in Slowly Varying Channels

In this paper, an adaptive limited feedback linear precoding technique for temporally correlated multiple-input multiple-output (MIMO) channels is proposed, where the receiver has perfect channel knowledge but the transmitter only receives a quantized channel direction. To perform adaptation to the time correlation structure, we employ a differential feedback, where the "amount" of the perturbation added to the previous precoder is determined by the statistics of the directional variation. Based on random matrix quantization analysis, we develop a spherical cap codebook approach, where the cap is centered at the previous precoder and the radius of the cap is determined proportional to the identified directional variation. If the channel is highly correlated in time, it is shown that the proposed differential feedback scheme achieves significant throughput improvement in the large codebook size regime. The rest of the paper is devoted to developing a systematic spherical cap codebook generation method. The developed approach employs a feedback scheme that uses a differential rotation of the previously used precoder. Our codebook adaptation is based on generating a perturbation in Euclidean space and projecting the perturbation onto the unitary space. Simulation results show that the proposed adaptation scheme accurately tracks the channel using only a small rate of feedback.
Malic dehydrogenase. 8. Large scale purification and properties of supernatant pig heart enzyme.

Abstract A reproducible procedure for the large scale purification of pig heart supernatant malate dehydrogenase which yields up to 400 mg of homogeneous protein has been developed. The purity of the isolated enzyme is shown by acrylamide gel electrophoresis over a pH range from 4.9 to 9.2 as well as by detailed analysis of boundary spreading during sedimentation velocity experiments. Three enzymically active zones of enzyme were observed on gel electrophoresis at pH 4.9. Physical properties, including the partial specific volume, s20,w, apparent diffusion coefficient, molar extinction coefficient, and molecular weight, have been evaluated. Chemical determinations include a detailed quantitative amino acid analysis, amino end group analysis, and the preparation of peptide maps of tryptic digests of the enzyme. The results indicate that pig heart supernatant malate dehydrogenase is made up of two identical or very similar subunits.
Pre‐ and postsynaptic ATP‐sensitive potassium channels during metabolic inhibition of rat hippocampal CA1 neurons

Presynaptic and postsynaptic membrane activities during experimental metabolic inhibition were analysed in mechanically dissociated rat hippocampal neurons using nystatin‐perforated and conventional whole‐cell patch clamp recordings. NaCN, an inhibitor of mitochondrial ATP synthesis, induced an outward current across the postsynaptic soma membrane. This current was blocked by tolbutamide, a sulfonylurea, which blocks ATP‐sensitive K+ (KATP) channels. The presynaptic effect of metabolic inhibitors such as NaCN, NaN3, or glucose‐free solution was to increase the frequency of GABAergic miniature inhibitory postsynaptic currents (mIPSCs). Tolbutamide had no effect on this increase in mIPSC frequency induced by metabolic inhibition. Diazoxide, a KATP channel opener, evoked a similar somatic outward current in a dose‐dependent manner. In addition, diazoxide decreased the frequency of mIPSCs in a dose‐dependent fashion. Both these pre‐ and postsynaptic effects of diazoxide were reversed by tolbutamide, suggesting the existence of KATP channels on both pre‐ and postsynaptic membranes. These results confirm the presence of KATP channels on both the pre‐ and postsynaptic membranes but indicate that the channels have significantly different sensitivities to metabolic inhibition.
Combining labeled and unlabeled data in statistical natural language parsing

COMBINING LABELED AND UNLABELED DATA IN STATISTICAL NATURAL LANGUAGE PARSING Anoop Sarkar Supervisor: Professor Aravind Joshi Ambiguity resolution in the parsing of natural language requires a vast repository of knowledge to guide disambiguation. An effective approach to this problem is to use machine learning algorithms to acquire the needed knowledge and to extract generalizations about disambiguation decisions. Such parsing methods require a corpus-based approach with a collection of correct parses compiled by human experts. Current statistical parsing models suffer from sparse data problems, and experiments have indicated that more labeled data will improve performance. In this dissertation, we explore methods that attempt to combine human supervision with machine learning algorithms to try and extend accuracy beyond what is possible with the use of limited amounts of labeled data. In each case we do this by exposing a machine learning algorithm to unlabeled data in addition to the existing labeled data. Most recent research in parsing has shown the advantage of having a lexicalized model, where the word relationships mediate knowledge about disambiguation decisions. We use Lexicalized Tree Adjoining Grammars (TAGs) as the basis of our machine learning algorithm since they arise naturally from the lexicalization of Context Free Grammars (CFGs). We show in this dissertation that probability measures applied to TAGs retain the simplicity of probabilistic CFGs along with its elegant formal properties and that while PCFGs need additional independence assumptions to be useful in statistical parsing, no such changes need to be made to probabilistic TAGs.
User pose estimation based on multiple depth sensors

Despite the diverse application of motion capture technology, it is challenging to capture people's motions unless they are wearing relevant equipment. This paper proposes a method of estimating the joint positions based on depth data as well as optimal joint selection in restoring the pose with multiple Kinect sensors. The proposed method enhances the accuracy of pose restoration, enables real-time capture of dynamic motions such as Taekwondo and applies to training programs for the general public.
Prospects of Novel Species of Oral Veillonella in Human Saliva

The genus Veillonella consists of small, strictly anaerobic, gram-negative cocci lacking flagella, spores, and capsules that are characterized by their ability to obtain energy from shortchain organic acids [1,2]. Although 13 species have currently been established in the genus Veillonella, only 6 species (V. atypica, V. denticariosi, V. dispar, V. parvula, V. rogosae, and V. tobetsuensis) have been isolated from human oral cavities [2-9]. The main habitats of the oral Veillonella are tongue biofilms, dental biofilms, buccal mucosa, and saliva [10-12]. Oral Veillonella has been found in severe early childhood caries [13], apical root canals [14], and dental tubules [15]. Additionally, oral Veillonella are also predominantly found in saliva [16] and subgingival biofilm specimens [17] from patients who have chronic periodontitis.