Miracle-dz/UniFAR-FTUs huggingface dataset:
Acquisition 3D de visages par vision active : une solution de bout en bout

Cet article presente une nouvelle approche de numerisation tridimensionnelle de visages a base d’un capteur stereoscopique actif. Elle est destinee a la reconnaissance faciale, enrichie par des informations 3D. Apres une etape d’etalonnage en vue d’estimer les parametres intrinseques et extrinseques du capteur, la partie active, le video-projecteur, projette une lumiere structuree permettant la discrimination et la localisation sous-pixelique de deux ensembles de primitives. La mise en correspondance de ces ensembles se fait a l’aide de notre adaptation de la programmation dynamique, ou, l’exploitation de la geometrie epipolaire, associee a d’autres contraintes, permet de reduire la complexite du probleme d’appariement, d’un probleme bidimensionnel a un probleme monodimensionnel. Par la suite, l’information profondeur est calculee par triangulation optique, suivie d’interpolation et de maillage 3D, pour aboutir a des modeles partiels 2.5D de visage. Finalement, des etapes de registration, de fusion et de mappage de texture acheve la reconstruction du modele 3D. Une evaluation de nos resultats par rapport a ceux obtenus par une technologie laser est egalement presentee.
Population Genetics of Ochlerotatus eatoni (Diptera: Culicidae) Endemic Species to Two Macaronesian Islands

Abstract Analyses of 11 isoenzyme loci of Ochlerotatus eatoni (Edwards, 1916), endemic to two Macaronesian Islands (Madeira and Tenerife, Canary Islands), revealed substantial genetic structure in the study populations. Samples from sites on the south and north of Madeira displayed a significant reduction of variability compared with those from central Madeira and Tenerife. The Tenerife population exhibited a severe deficit of heterozygosity with similar magnitude across all the loci examined. The complex pattern of variation in Oc. eatoni is because of interplay of breeding structure, genetic drift, and geographical and historical factors. From these findings, we concluded that island colonization by Oc. eatoni was not marked by founder effect.
Unfairness Correction in P2P Grids Based on Residue Number System of a Special Form

This paper addresses error correction codes approach in order to improve the performance of BOINC under uncertainty of users' behavior. Redundant Residue Number System (RRNS) moduli set of the special form provides correction of user unfairness, reliability, decreased redundancy and load of the computing network. Error correction code in RRNS is improved by using error syndrome. It decreases the amount of computations required for data decoding up to 20/7 times compared to the projection methods. The proposed modification of the error syndrome allow to omit the assumption that clients are honest and reliable. The proposed approach decreases the execution time of the client programs asymptotically by 4 times. On the other hand, encoding with RRNS places some restrictions on the range of performed operations.
Expression of Tcf-1 mRNA and surface TCR-CD3 complexes are reduced during apoptosis of T cells.

When a T cell hybridoma, 70.7, was treated with a Ca2+ ionophore (A23187), apoptotic cell death was induced. Interestingly, we observed that the expression of Tcf-1, a T cell-specific transcription factor, mRNA was reduced by approximately 5-fold in the A23187-treated apoptotic cells compared to an ethanol-treated control. The hybridoma cells, however, did not display such a reduced expression of Tcf-1 mRNA upon treatment with buthionine sulfoxide, which is known to induce a necrosis-like cell death. When another T cell hybridoma, KMIs-8.3. 5, was treated with A23187 and phorbol myristate acetate, which leads to activation-induced apoptosis, Tcf-1 expression was again greatly reduced. However, a mutant line (KCIT1-8.5) derived from KMIs-8.3. 5, which produces IL-2 upon activation and is resistant to apoptosis, did not show such reduction in Tcf-1 expression. We also showed that the reduced expression level of CD3epsilon mRNA and surface TCR-CD3 complex in apoptotic T cells is caused by the reduced expression of Tcf-1. When 70.7 cells were transfected with a plasmid DNA pSVtcf-1, in which Tcf-1 gene expression is driven by the SV40 promoter, such reduction of the Tcf-1 mRNA and the surface expression of the TCR-CD3 complex were not observed upon apoptosis induction. Our results suggest that the reduced expression of Tcf-1 is specific for the apoptotic, but not for the activating, process of T cells and is also responsible for the reduced surface expression of the TCR-CD3 in apoptotic T cells.
The neuropeptide SIFamide in the brain of three cockroach species

The sequence as well as the distribution pattern of SIFamide in the brain of different insects is highly conserved. As a general rule, at least four prominent SIFamide‐immunoreactive somata occur in the pars intercerebralis. They arborize throughout the brain and the ventral nerve cord. Whereas SIFamide is implicated in mating and sleep regulation in Drosophila, other functions of this peptide remain largely unknown. To determine whether SIFamide plays a role in the circadian system of cockroaches, we studied SIFamide in Rhyparobia (= Leucophaea) maderae (Blaberidae), Periplaneta americana (Blattidae), and Therea petiveriana (Polyphagidae). Matrix‐assisted laser desorption/ionization–time of flight (MALDI–TOF) mass spectrometry revealed identical SIFamide sequences (TYRKPPFNGSIFamide) in the three species. In addition to four large immunoreactive cells in the pars intercerebralis (group 1), smaller SIFamide‐immunoreactive somata were detected in the pars intercerebralis (group 2), in the superior median protocerebrum (group 3), and in the lateral protocerebrum (group 4). Additional cells in the optic lobe (group 5) and posterior protocerebrum (group 6) were stained only in P. americana. Almost the entire protocerebrum was filled with a beaded network of SIFamide‐immunoreactive processes that especially strongly invaded the upper unit of the central body. Double‐label experiments did not confirm colocalizations with γ‐aminobutyric acid (GABA) or the circadian coupling peptide pigment‐dispersing factor (PDF). In contrast to locusts, colocalization of SIFamide and histamine immunoreactivity occurred not in group 1, but in group 4 cells. Because the accessory medulla displayed SIFamide immunoreactivity and injections of SIFamide delayed locomotor activity rhythms circadian time‐dependently, SIFamide plays a role in the circadian system of cockroaches. J. Comp. Neurol. 524:1337–1360, 2016. © 2015 Wiley Periodicals, Inc.
Measurement Of Radon Exhalation Rate And Radiation Doses From Some Building Construction Materials

For the measurements 19 samples of building materias used in construction activities in this region of India were collected from various sites. In the present investigations radon exhalation rates from some building materials like fly ash, cement, slag, Bottom ash, Sand, Bazari, Badarpur and flooring tiles have been estimated using sealed can technique. It can be observed that Radon activity, Radon exhalation rate and Effective dose equivalent are minimum for the tiles and maximum for slag samples.
Exact likelihood inference for autoregressive gamma stochastic volatility models 1

Affine stochastic volatility models are widely applicable and appear regularly in empirical finance and macroeconomics. The likelihood function for this class of models is in the form of a high-dimensional integral that does not have a closed-form solution and is difficult to compute accurately. This paper develops a method to compute the likelihood function for discrete-time models that is accurate up to computer tolerance. The key insight is to integrate out the continuous-valued latent variance analytically leaving only a latent discrete variable whose support is over the non-negative integers. The likelihood can be computed using standard formulas for Markov-switching models. The maximum likelihood estimator of the unknown parameters can therefore be calculated as well as the filtered and smoothed estimates of the latent variance.
Synchronous Spike Patterns in Macaque Motor Cortex during an Instructed-Delay Reach-to-Grasp Task

The computational role of spike time synchronization at millisecond precision among neurons in the cerebral cortex is hotly debated. Studies performed on data of limited size provided experimental evidence that low-order correlations occur in relation to behavior. Advances in electrophysiological technology to record from hundreds of neurons simultaneously provide the opportunity to observe coordinated spiking activity of larger populations of cells. We recently published a method that combines data mining and statistical evaluation to search for significant patterns of synchronous spikes in massively parallel spike trains (Torre et al., 2013). The method solves the computational and multiple testing problems raised by the high dimensionality of the data. In the current study, we used our method on simultaneous recordings from two macaque monkeys engaged in an instructed-delay reach-to-grasp task to determine the emergence of spike synchronization in relation to behavior. We found a multitude of synchronous spike patterns aligned in both monkeys along a preferential mediolateral orientation in brain space. The occurrence of the patterns is highly specific to behavior, indicating that different behaviors are associated with the synchronization of different groups of neurons (“cell assemblies”). However, pooled patterns that overlap in neuronal composition exhibit no specificity, suggesting that exclusive cell assemblies become active during different behaviors, but can recruit partly identical neurons. These findings are consistent across multiple recording sessions analyzed across the two monkeys. SIGNIFICANCE STATEMENT Neurons in the brain communicate via electrical impulses called spikes. How spikes are coordinated to process information is still largely unknown. Synchronous spikes are effective in triggering a spike emission in receiving neurons and have been shown to occur in relation to behavior in a number of studies on simultaneous recordings of few neurons. We recently published a method to extend this type of investigation to larger data. Here, we apply it to simultaneous recordings of hundreds of neurons from the motor cortex of macaque monkeys performing a motor task. Our analysis reveals groups of neurons selectively synchronizing their activity in relation to behavior, which sheds new light on the role of synchrony in information processing in the cerebral cortex.
Renal protective effects of induction of haem oxygenase‐1 combined with increased adiponectin on the glomerular vascular endothelial growth factor–nitric oxide axis in obese rats

What is the central question of this study? This study aimed to investigate whether induction of haem oxygenase‐1 (HO‐1) can protect the kidneys of obese rats by regulating the glomerular vascular endothelial growth factor–nitric oxide (VEGF–NO) axis by increasing the adiponectin concentrations. What is the main finding and its importance? Induction of HO‐1 reduces the degree of microalbuminuria and has renal protective effects by improving endothelial function and regulating the uncoupled glomerular VEGF–NO axis in diet‐induced obese rats. The mechanism may be related to increased activation of the HO‐1–adiponectin axis.
Genome Sequence of a Novel HIV-1 Circulating Recombinant Form (CRF77_cpx) Identified among Blood Donors in Malaysia

ABSTRACT We report here the first HIV-1 circulating recombinant form (CRF) complex identified among the blood donors in Malaysia. The CRF77_cpx mosaic genome consists of parental subtypes B′, C, and CRF01_AE and is structurally related to CRF07_BC. The identification of CRF77_cpx underlines the genetic complexity and mobility of HIV-1 among the blood donors.
Aprendizado por reforço e programação dinâmica aproximada com máquinas kernel para controle de sistemas não lineares

Aprendizado por reforco e programacao dinâmica aproximada sao paradigmas para o aprendizado de controle otimo. Um algoritmo on-line de iteracao de politica, em que e possivel obter politicas de controle quase-otimas sem que haja conhecimento a priori do modelo da dinâmica do sistema controlado e proposto. Nele, as melhorias de politica devem ser realizadas a cada poucas transicoes de estado, usando somente uma avaliacao incompleta da politica atual. Para a etapa de avaliacao de politica e proposto o uso de maquinas kernel como aproximador da funcao valor com o objetivo de melhorar a capacidade de generalizacao dos algoritmos de predicao de valor. Para esta etapa, sao propostos dois algoritmos: o primeiro usa uma versao on-line da maquina de vetores suporte para regressao para aproximar a funcao valor no algoritmo de diferenca temporal. O segundo algoritmo usa funcoes kernel Mercer para aproximar a funcao valor no algoritmo de diferenca temporal por minimos quadrados recursivo. Um procedimento de esparsificacao com base na dependencia linear aproximada das amostras e realizado para manter a esparsidade da solucao. Para demonstrar a eficacia dos algoritmos propostos, os comparamos com outros algoritmos de aprendizado por reforco em problemas simples de controle nao linear. Abstract
Resource Competition Affects Plankton Community Structure; Evidence from Trait-Based Modeling

Understanding the phenology of phytoplankton species is still a challenge and despite a lot of theoretical work on competition for ressources this process is under-represented in deterministic models. To study the main driver of the species selection, we thus used a trait-based model that keeps phenotypic variability through physiological trait parameterization. We next validate the results by using a key species, the toxic dinoflagellate Alexandrium minutum. Due to their monitoring, we show that harmful algae are ideal models for studying ecological niches and for contributing to this more global challenge. As a first step, a dimensionless model of an estuary (France) was built with water temperature and water exchanges deduced from a hydro-dynamic model. The biological parametrisation takes into account the size (from pico- to microphytoplankton) and the type of assimilation. The results show that temperature, competition for nutrients and dilution are important factors regulating the community structure and \textit{Alexandrium minutum} dynamics (more especially the bloom initiation and magnitude). These drivers contribute to determine the ecological niche of A. minutum, to influence the shape of its blooms and to provide potential explanations of its interannual variability. This approach mainly introduce more flexibility of the community structure to study how environmental forcing could drive its evolution.
Effects of metabolic rate and sperm competition on the fatty‐acid composition of mammalian sperm

The sperm membrane is a key structure affecting sperm function and thus reproductive success. Spermatozoa are highly specialized and differentiated cells that undergo a long series of processes in the male and female reproductive tracts until they reach the site of fertilization. During this transit, the sperm membrane is prone to damage such as lipid peroxidation. The characteristics and performance of the sperm membrane are strongly determined by the fatty‐acid composition of membrane phospholipids. Polyunsaturated fatty‐acids (PUFAs) are the most prone to lipid peroxidation. Lipid peroxidation and other types of oxidative damage increase with higher metabolism and with higher levels of sperm competition due to the increased ATP production to fuel higher sperm velocities. Consequently, we hypothesized that, in order to avoid oxidative damage, and the ensuing impairment of sperm function, sperm cells exhibit a negative relationship between PUFA content and mass‐specific metabolic rate (MSMR). We also hypothesized that higher sperm competition leads to a reduction in the proportion of sperm PUFAs. We performed a comparative study in mammals and found that high MSMR and high levels of sperm competition both promote a decrease in the proportion of PUFAs that are more prone to lipid peroxidation. The negative relationship between MSMR and these PUFAs in sperm cells is surprising, because a positive relationship is found in all other cell types so far investigated. Our results support the idea that the effects of MSMR and sperm competition on sperm function can operate at very different levels.
Hybrid driver IC for real-time TFT non-uniformity compensation of ultra high-definition AMOLED display

An UHD AMOLED display driver IC, enabling real-time TFT non-uniformity compensation, is presented with a hybrid driving scheme. The proposed hybrid driving scheme drives a mobile UHD (3840×1920) AMOLED panel, whose scan time is 7. 7μs at a scan frequency of 60Hz, through the load of 30kohm resistance and 30pF capacitance. A proposed accurate current sensor embedded in the column driver and a back-end compensation scheme reduce maximum current error between emulated TFTs within 0.94 LSB (37nA) of 8-bit gray scales. Since the TFT variation is externally compensated, a simple 3T1C pixel circuit is employed in each pixel.
Identifying a molecular phenotype for bone marrow stromal cells with in vivo bone‐forming capacity

The ability of bone marrow stromal cells (BMSCs) to differentiate into osteoblasts is being exploited in cell‐based therapy for repair of bone defects. However, the phenotype of ex vivo cultured BMSCs predicting their bone‐forming capacity is not known. Thus we employed DNA microarrays comparing two human bone marrow stromal cell (hBMSC) populations: One is capable of in vivo heterotopic bone formation (hBMSC‐TERT+Bone), and the other is not (hBMSC‐TERT–Bone). Compared with hBMSC‐TERT–Bone, the hBMSC‐TERT+Bone cells had an increased overrepresentation of extracellular matrix genes (17% versus 5%) and a larger percentage of genes with predicted SP3 transcription factor–binding sites in their promoter region (21% versus 8%). On the other hand, hBMSC‐TERT–Bone cells expressed a larger number of immune‐response‐related genes (26% versus 8%). In order to test for the predictive value of these markers, we studied the correlation between their expression levels in six different hBMSC‐derived clones and the ability to form bone in vivo. We found a significant correlation for decorin, lysyl oxidase‐like 4, natriuretic peptide receptor C, and tetranectin. No significant positive correlation was found for canonical osteoblastic markers Runx2, alkaline phosphatase, collagen type I, osteopontin, and bone sialoprotein. Prospective isolation of four additional hBMSC clones based on their expression levels of the molecular markers correlated with their in vivo bone‐formation ability. In conclusion, our data suggest an in vitro molecular signature predictive for hBMSCs' in vivo bone‐formation ability. Identifying more of these predictive markers would be very useful in the quality control of osteoblastic cells before use in therapy. © 2010 American Society for Bone and Mineral Research
Vehicle models identification based on the double updating support vector machine online learning algorithm

For the traditional online support vector machine classification algorithm based on the kernel function, the weight of the misclassified sample in the learning process of classification remains unchanged, which will inevitably affect the classification accuracy. This paper presents a Double Updating Online Support Vector Machine Learning Algorithm that can update the weight real-timely. According to the change of the training support vector set when the new sample is added, the algorithm can update the weights of misclassified sample and update the existing sample weights at the same time, making the algorithm achieve better classification performance in large-scale data situation. The online support vector machine double update algorithm is applied to the vehicle recognition, the added newly vehicle models classification and recognition can be done beautifully from the experiment, and the experiment proved the validity and feasibility of the algorithm robustness.
Physiology of Resistant Deinococcus geothermalis Bacterium Aerobically Cultivated in Low-Manganese Medium

ABSTRACT This dynamic proteome study describes the physiology of growth and survival of Deinococcus geothermalis, in conditions simulating paper machine waters being aerobic, warm, and low in carbon and manganese. The industrial environment of this species differs from its natural habitats, geothermal springs and deep ocean subsurfaces, by being highly exposed to oxygen. Quantitative proteome analysis using two-dimensional gel electrophoresis and bioinformatic tools showed expression change for 165 proteins, from which 47 were assigned to a function. We propose that D. geothermalis grew and survived in aerobic conditions by channeling central carbon metabolism to pathways where mainly NADPH rather than NADH was retrieved from the carbon source. A major part of the carbon substrate was converted into succinate, which was not a fermentation product but likely served combating reactive oxygen species (ROS). Transition from growth to nongrowth resulted in downregulation of the oxidative phosphorylation observed as reduced expression of V-type ATPase responsible for ATP synthesis in D. geothermalis. The battle against oxidative stress was seen as upregulation of superoxide dismutase (Mn dependent) and catalase, as well as several protein repair enzymes, including FeS cluster assembly proteins of the iron-sulfur cluster assembly protein system, peptidylprolyl isomerase, and chaperones. Addition of soluble Mn reinitiated respiration and proliferation with concomitant acidification, indicating that aerobic metabolism was restricted by access to manganese. We conclude that D. geothermalis prefers to combat ROS using manganese-dependent enzymes, but when manganese is not available central carbon metabolism is used to produce ROS neutralizing metabolites at the expense of high utilization of carbon substrate.
Stability Analysis of an Ordered Cognitive Multiple-Access Protocol

We investigate an ordered-access protocol for cognitive radios. The primary user (PU) operates in a time-slotted fashion and starts transmitting at the beginning of the time slot if its queue is nonempty. The secondary users, depending on their queues and spectrum sensing results, may start transmitting at times τ, 2τ, 3τ. relative to the beginning of the time slot, where τ is the sensing duration. Secondary user j is assigned rank or order i and possibly starts transmitting at time iτ relative to the beginning of the time slot with a certain probability designed to guarantee the stability of system queues. We consider two models. In the first model, which is denoted by S, only one secondary user is assigned a particular rank, whereas in the second model, which is denoted by Ŝ, there is less coordination, and some secondary users may have the same access order. We provide some analytical results for the case of two users and two ranks, under the assumption of perfect spectrum sensing. Our results show that system S is better than Ŝ in terms of the maximum stable throughput region. After considering perfect spectrum sensing, we provide outer and inner bounds on the maximum stable throughput region for the case of sensing errors. We then investigate the multiple-cognitive-user scenario. We prove the advantage of system Ŝ over a random access scheme, where all the secondary users access the channel probabilistically after a sensing period of duration τ, and the advantage of system S over a time-division multiple-access (TDMA) system, where each secondary user is individually assigned to a whole time slot for a certain fraction of the overall operational time and carries out spectrum sensing over duration τ.