Miracle-dz/UniFAR-FTUs huggingface dataset:
Comment former le client à son rôle de coproducteur ? Etude de l’influence de la formation et de ses caractéristiques sur les bénéfices de la coproduction

Cette recherche étudie l’impact de la formation du client à son rôle lors d’une rencontre de service. Elle examine l’influence de celle-ci sur les bénéfices de la coproduction en adoptant un regard croisé : celui de l’entreprise, à travers la productivité du personnel en contact, et celui du client, via sa satisfaction. La recherche se décompose en deux phases. Elle montre d’abord que globalement la formation accroît la productivité du personnel sans nuire à la satisfaction. Une fois l’intérêt de former le client avéré, elle s’intéresse à deux caractéristiques de la formation : son contenu (cognitif seul ou cognitif et affectif) et le moyen par lequel elle est délivrée (en personne ou numérique). La formation du client augmente la productivité particulièrement quand son contenu est à la fois cognitif et affectif alors que son moyen ne l’influence pas. Inversement, concernant la satisfaction, la formation donnée par du personnel a un impact plus important qu’une formation numérique tandis que son contenu ne l’affecte pas. Ces résultats donnent des pistes d’actions aux entreprises pour améliorer leurs bénéfices et ceux du client.
The cost of peer discovery and searching in the Gnutella peer-to-peer file sharing protocol

A lot of attention has been focused on peer-to-peer file sharing systems. Gnutella is a fully distributed peer-to-peer protocol without the need for a central entity. This increases the reliability of the system by avoiding a single point of failure as well making it more immune to legal attack. The two main features of the Gnutella protocol discovery of peers and searching for files are implemented by passing different types of messages between the nodes of the Gnutella overlay network. Due to its fully distributed nature, Gnutella relies on flooding to route most of these messages, which immediately raises the question of cost and scalability. We study these aspects of the Gnutella protocol by means of simulation also considering the influence of the topology of the Gnutella network.
Makeup-insensitive face recognition by facial depth reconstruction and Gabor filter bank from women's real-world images

In this paper, a new method was proposed to handle facial makeup in face recognition. To improve a face recognition method robust to facial makeup, features were extracted from facial depth in which facial makeup is not effective. Then, face depth features were added to face texture features to perform feature extraction. Accordingly, a 3D face was reconstructed from only a single 2D frontal image with/without facial expressions. Then, the texture and depth of the face were extracted from the reconstructed model. Afterwards, the Gabor Filter Bank (GFB) was applied to both texture and reconstructed depth of the face to extract the feature vectors from both texture and reconstructed depth images. Finally, by combining 2D and 3D feature vectors, the final feature vectors are generated and classified by the Support Vector Machine (SVM). Convincing results were achieved for makeup-insensitive face recognition on the available image database based on the present method compared to several state-of-the-art methods.
Chapter 1 A simple logic of trust based on propositional assignments

Cristiano Castelfranchi and Rino Falcone introduced an influential cognitive theory of social trust that is based on the concepts of belief, goal, ability, willingness and opportunity. In this paper we propose a simple logic of belief and action that allows to express these concepts. While our logic of belief is standard, our logic of action has a very simple kind actions: actions setting the truth value of a propositional variable to either true or false. We call such actions propositional assignments and argue that our logic provides a framework that is simple but expressive enough to account for Castelfranchi and Falcone’s concept. We prove its completeness and give a decision procedure.
Unsupervised self-testing of airway obstruction by forced oscillation at the patient's home

As active patient cooperation is not required, the forced oscillation technique (FOT) could be suitable for measuring airway obstruction in routine home applications. Nevertheless, FOT has never been used at the patient's home to date. The aim of this study was to assess the feasibility of FOT and the reproducibility of measured respiratory resistance (Rrs) in routine patient self-testing at home. Altogether, nine asthmatic patients self-measured their Rrs with a portable FOT device and spirometry for 10–14 days, in the morning and evening, and before and after bronchodilator inhalation. During each measurement session, the patients carried out four consecutive FOT measurements. Grubbs' discordancy test for detecting outliers was used to evaluate intermeasure reliability. Only 4.9% of Rrs data reported by patients were rejected as artefacts. The coefficient of variation of Rrs was 7.9±6.3% (mean±sd). When compared with spirometry, the per cent change in Rrs for detecting a positive bronchodilator response showed an 83% sensitivity and 72% specificity. Unsupervised self-measurement of respiratory resistance at the patient's home provided results similar to those obtained by a technician in a lung function lab. Forced oscillation technique could be a useful tool for the routine follow-up of asthmatic patients at home.
A 40-Gb/s, digitally programmable peaking limiting amplifier with 20-dB differential gain in 90-nm CMOS

A 40-Gb/s differential CMOS limiting amplifier in standard 90-nm technology is presented. The circuit dissipates as little as 80 mW from a 1 V power supply and has a differential gain of 20 dB. It can drive data at 40 Gb/s into multiple sampling circuits with a total input capacitance as high as 300 fF. The amplifier features a digitally programmable load resistor for the differential stages to control gain-peaking intensity. This can be used to cancel process variations or for active channel-compensation schemes. The output common mode voltage and circuit bias are controlled by a replica stage. The circuit occupies 0.033 mm2 of silicon real estate
Development of cardiac support bioprostheses for ventricular restoration and myocardial regeneration.

OBJECTIVES Ventricular constraint devices made of polyester and nitinol have been used to treat heart failure patients. Long-term follow-up has not demonstrated significant benefits, probably due to the lack of effects on myocardial tissue and to the risk of diastolic dysfunction. The goal of this experimental study is to improve ventricular constraint therapy by associating stem cell intrainfarct implantation and a cell-seeded collagen scaffold as an interface between the constraint device and the epicardium. METHODS In a sheep ischaemic model, three study groups were created: Group 1: coronary occlusion without treatment (control group). Group 2: postinfarct ventricular constraint using a polyester device (Acorn CorCap). Group 3: postinfarct treatment with stem cells associated with collagen matrix and the polyester device. Autologous adipose mesenchymal stem cells cultured in hypoxic conditions were injected into the infarct and seeded into the collagen matrix. RESULTS At 3 months, echocardiography showed the limitation of left ventricular end-diastolic volume in animals both treated with constraint devices alone and associated with stem cells/collagen. In Group 3 (stem cell + collagen treatment), significant improvements were found in ejection fraction (EF) and diastolic function evaluated by Doppler-derived mitral deceleration time. In this group, histology showed a reduction of infarct size, with focuses of angiogenesis and minimal fibrosis interface between CorCap and the epicardium due to the interposition of the collagen matrix. CONCLUSIONS Myocardial infarction treated with stem cells associated with a collagen matrix and ventricular constraint device improves systolic and diastolic function, reducing adverse remodelling and fibrosis. The application of bioactive molecules and the recent development of nanobiotechnologies should open the door for the creation of a new semi-degradable ventricular support bioprosthesis, capable of controlled stability or degradation in response to physiological conditions of the left or right heart.
The First Cellular Models Based on Frataxin Missense Mutations That Reproduce Spontaneously the Defects Associated with Friedreich Ataxia

Background Friedreich ataxia (FRDA), the most common form of recessive ataxia, is due to reduced levels of frataxin, a highly conserved mitochondrial iron-chaperone involved in iron-sulfur cluster (ISC) biogenesis. Most patients are homozygous for a (GAA)n expansion within the first intron of the frataxin gene. A few patients, either with typical or atypical clinical presentation, are compound heterozygous for the GAA expansion and a micromutation. Methodology We have developed a new strategy to generate murine cellular models for FRDA: cell lines carrying a frataxin conditional allele were used in combination with an EGFP-Cre recombinase to create murine cellular models depleted for endogenous frataxin and expressing missense-mutated human frataxin. We showed that complete absence of murine frataxin in fibroblasts inhibits cell division and leads to cell death. This lethal phenotype was rescued through transgenic expression of human wild type as well as mutant (hFXNG130V and hFXNI154F) frataxin. Interestingly, cells expressing the mutated frataxin presented a FRDA-like biochemical phenotype. Though both mutations affected mitochondrial ISC enzymes activities and mitochondria ultrastructure, the hFXNI154F mutant presented a more severe phenotype with affected cytosolic and nuclear ISC enzyme activities, mitochondrial iron accumulation and an increased sensitivity to oxidative stress. The differential phenotype correlates with disease severity observed in FRDA patients. Conclusions These new cellular models, which are the first to spontaneously reproduce all the biochemical phenotypes associated with FRDA, are important tools to gain new insights into the in vivo consequences of pathological missense mutations as well as for large-scale pharmacological screening aimed at compensating frataxin deficiency.
A Spontaneous, Recurrent Mutation in Divalent Metal Transporter-1 Exposes a Calcium Entry Pathway

Divalent metal transporter-1 (DMT1/DCT1/Nramp2) is the major Fe2+ transporter mediating cellular iron uptake in mammals. Phenotypic analyses of animals with spontaneous mutations in DMT1 indicate that it functions at two distinct sites, transporting dietary iron across the apical membrane of intestinal absorptive cells, and transporting endosomal iron released from transferrin into the cytoplasm of erythroid precursors. DMT1 also acts as a proton-dependent transporter for other heavy metal ions including Mn2+, Co2+, and Cu2, but not for Mg2+ or Ca2+. A unique mutation in DMT1, G185R, has occurred spontaneously on two occasions in microcytic (mk) mice and once in Belgrade (b) rats. This mutation severely impairs the iron transport capability of DMT1, leading to systemic iron deficiency and anemia. The repeated occurrence of the G185R mutation cannot readily be explained by hypermutability of the gene. Here we show that G185R mutant DMT1 exhibits a new, constitutive Ca2+ permeability, suggesting a gain of function that contributes to remutation and the mk and b phenotypes.
Mesh Enhanced Persistent Homology

We apply ideas from mesh generation to improve the time and space complexity of computing the persistent homology of a point set in R. The traditional approach to persistence starts with the α-complex of the point set and thus incurs the O(n) size of the Delaunay triangulation. The common alternative is to use a Rips complex and then to truncate the filtration when the size of the complex becomes prohibitive, possibly before discovering relevant topological features. Given a point set P of n points in R, we construct a new filtration, the α-mesh, of size O(n) in time O(n) with persistent homology approximately the same as that of the α-shape filtration. This makes it possible to compute the complete persistence barcode in O(n) time, where n is the number of points. Previously, this bound was only achievable (with exponentially worse constants) for computing partial barcodes from uniform samples from manifolds. The constants in this paper are all singly exponential in d, making them suitable for medium dimensions.
DoCluster: Efficient mining maximal biclusters without candidate maintenance in the function-resource matrix

The functional layer is the pillar of the PHM system or avionics safety system. Its effectiveness is the core of system task effectives. In this paper we proposed a new bicluster mining algorithm: DoCluster, to effectively mine all biclusters with maximal variant usage rate and low usage rate from the discrete function-resource matrix. Firstly, DoCluster algorithm constructs a sample weighted graph which includes all resource collections between two samples that meet the definition of variant usage rate or low usage rate; secondly, all biclusters with maximal variant usage rate and low usage rate satisfying the definition are mined by using sample-growth and depth-first method in the constructed weighted graph. To improve the mining efficiency of the algorithm, DoCluster algorithm uses multiple pruning strategies to ensure the mining of maximal bicluster without candidate maintenance. The experimental results show our algorithm is more efficient than other two algorithms.
The Determinants of International Equity Holdings: Information Versus Culture

I examine whether the effect of physical distance on the geography of international portfolio investments undergoes an informational or a cultural channel. Using two measures to disentangle the effects of the physical distance, namely the cultural distance proposed by Kogut and Singh (1988), and a new measure of the information distance, I analyze a panel dataset showing 24 source countries’ bilateral equity holdings in various destinations as of the end-2006. Regressions suggest that the effect of the geography on international portfolio investments is likely to be a phenomenon linked to information asymmetries rather than one reflecting the impact of the cultural proximity between countries.
Ripple Effect: an Improved Geographic Routing with Local Connectivity Information

One of the key challenges in geographic routing is how to deal with dead-ends, where greedy routing fails to find a neighbor node which is closer to the destination. Most existing geographic routing algorithms just switch to the deterministic face routing or limits its face searching range. In this paper, we demonstrate that we can improve routing performance by considering local connectivity status at each node before making routing decision. We present a protocol, Density Ripple Exchange (DRE), that maintains local density information at each node, and a new geographic routing algorithm, Geographic Ripple Routing (GRR), that achieves better routing performance in both hop stretch and transmission stretch than existing geographic routing algorithms by exploiting available connectivity information. Our simulations demonstrate that we increased the performance for GRR over Greedy Perimeter Stateless Routing (GPSR) by about 15%. The cost of this improved performance is a small amount of additional local connectivity information required for our algorithm.
Inference of Circadian Regulatory Networks

We assess the accuracy of various state-of-the-art methods for reconstructing gene and protein regulatory networks in the context of circadian regulation. Gene expression and protein concentration time series are simulated from a recently published regulatory network of the circadian clock in A. thaliana, which is mathematically described by a Markov jump process based on Michaelis-Menten kinetics. Our study provides relative network reconstruction accuracy scores for a critical comparative performance evaluation, quantifies the influence of system- atically missing values related to unknown protein concentrations and mRNA transcription rates, and investigates the dependence of the per- formance on the network topology and the degree of recurrency. An ap- plication to recent gene expression time series from qPCR experiments suggests new hypotheses about the structure of the central circadian gene regulatory network in A. thaliana.
DNMT 3 A special reference on mutations of ASXL 1 , TET 2 , IDH 1 , IDH 2 , and Cooperating gene mutations in childhood acute myeloid leukemia with

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Deep convolutional neural networks for detection of rail surface defects

In this paper, we propose a deep convolutional neural network solution to the analysis of image data for the detection of rail surface defects. The images are obtained from many hours of automated video recordings. This huge amount of data makes it impossible to manually inspect the images and detect rail surface defects. Therefore, automated detection of rail defects can help to save time and costs, and to ensure rail transportation safety. However, one major challenge is that the extraction of suitable features for detection of rail surface defects is a non-trivial and difficult task. Therefore, we propose to use convolutional neural networks as a viable technique for feature learning. Deep convolutional neural networks have recently been applied to a number of similar domains with success. We compare the results of different network architectures characterized by different sizes and activation functions. In this way, we explore the efficiency of the proposed deep convolutional neural network for detection and classification. The experimental results are promising and demonstrate the capability of the proposed approach.
Representation and Erasure of Bisexual People of Color: A Content Analysis of Quantitative Bisexual Mental Health Research

Bisexual people of color (BPOC) live with a complex intersection of identities, facing binegativity, racism, and invisibility. These issues result in a wide range of stressors that incorporate the intersecting stigmas they face in various contexts. Sexual minority research has limited applications to bisexual people, as most of the existing theories and approaches are based on research that included only lesbian and gay populations. The present study was designed to investigate the representation of BPOC in mental health research. To satisfy this objective, we extracted race/ethnicity data from a pool of quantitative studies on depression, anxiety, smoking, substance use, and suicidality that included bisexual participants, and conducted a content analysis with the resulting 324 articles. Seventy-two percent of studies reported the racial/ethnic makeup of their total sample; however, only 40% reported the number of BPOC present in the sample, and only 7% reported outcomes for BPOC separately from White participants and other sexual minority groups. Details on racial groups included, recruitment methods utilized in studies with diverse samples, and the nature of research involving racial/ethnic minority persons are presented and discussed. Results of this investigation reveal that there is marginal emphasis on people of color in bisexual research and that this representation has not seen significant progress over the last 2 decades.
Using hierarchical method to improve real time for audio-based surveillance system

The real-time is important to audio-based surveillance system. In this paper, we present a use of hierarchical method to improve the real-time for audio-based surveillance system. This method can improve the real-time by reducing the computation cost. Experiments conducted on different scenes of monitoring data show the benefits of proposed approach. The proposed method can improve the real-time from 0.1064xRT to 0.0197xRT in case of the performance degradation slightly.
Evaluation of Matrix Metalloproteinases, Cytokines and Their Potential Role in the Development of Ovarian Cancer

Background Ovarian cancer is the 5th most common cause of deaths in the women among gynecological tumors. There are many growing evidences that stress and other behavioral factors may affect cancer progression and patient survival. The purpose of this study is to determine the key role of matrix metalloproteinases (MMPs), and cytokines in the aggregation and progression of ovarian cancer. Methodology Stress variables (MDA, AGEs, AOPPs, NO), profile of antioxidants (SOD, Catalase, Vitamin E & A, GSH, GRx, GPx) and inflammatory biomarkers (MMP-9, MMP-2, MMP-11, IL-1α and TNF-α) were biochemically assessed from venous blood of fifty ovarian cancer patients and twenty healthy control subjects. The results of all parameters were analyzed statistically by independent sample t-test. Results The results of the study demonstrated that the levels of stress variables like MDA (3.38±1.12nmol/ml), AGEs (2.72±0.22 ng/ml), AOPPs (128.48±27.23 ng/ml) and NO (58.71±8.67 ng/ml) were increased in the patients of ovarian cancer as compared to control individuals whereas the profile of antioxidants like SOD, Catalase, Vitamin E, Vitamin A, GSH and GRx were decreased in ovarian cancer patients (0.11±0.08 μg/ml, 2.41±1.01μmol/mol of protein, 0.22±0.04 μg/ml, 45.84±9.07μg/ml, 4.88±1.18μg/ml, 5.33±1.26 μmol/ml respectively). But the level of GPx antioxidant was increased in ovarian cancer patients (6.58±0.21μmol/ml). Moreover the levels of MMP-9 (64.87±5.35 ng/ml), MMP-2 (75.87±18.82 ng/ml) and MMP-11 (63.58±8.48 ng/ml) were elevated in the patients. Similarly, the levels of various cytokines TNF-α and IL-1α were also increased in the patients of ovarian cancer (32.17±3.52 pg/ml and 7.04±0.85 pg/ml respectively). Conclusion MMPs are commonly expressed in ovarian cancer which are potential extrapolative biomarkers and have a major role in metastasis. Due to oxidative stress, different cytokines are released by tumor associated macrophages (TAMs) that result in the cancer progression. Consequently, tissue inhibitors of matrix metalloproteinases (TIMPs) are the valuable therapeutic approaches to complement conservative anticancer strategies.