Miracle-dz/UniFAR-FTUs huggingface dataset:
Direct rotor field-oriented control of a dual star induction machine

This article presents a direct control of the rotor field (DFOC) applied to the double star induction machine. The difficulty of control in the induction machine is due to the torque and flux coupling because the change in load torque inevitably induces flux variation and to ensure separation control of these two variables, field-oriented control is often used, in this reason the direct control centered on the field with the PI speed regulator is used to control this machine powered by two voltage source inverters. Then, the results obtained in the Matlab/Simulink environment have presented the performances of the system and are tested under different operating conditions.
An efficient approach to forensic investigation in cloud using VM snapshots

Cloud computing has recently emerged as a technology to allow users to access infrastructure, storage, software and deployment environment based on a pay-for-what-they-use model. Traditional digital forensics cannot handle the dynamic and multi-tenant nature of the cloud environment as it has to address various technical, legal, and organizational challenges typical to the cloud systems. The dynamic nature of cloud computing allows abundant opportunities to enable digital investigations in the cloud environment. This paper addresses the challenges of digital forensics in the cloud environment and existing solutions to ease some of the challenges. We propose an efficient approach to forensic investigation in cloud using Virtual Machine (VM) snapshots.
Effects of Probiotic Supplementation on Broiler Performance

A study on the effect of probiotic supplementation on broiler performance was carried out with 600 one day-old Avian broiler chicks. The duration of study was 35 days and a commercially prepared lactobacillus culture was given to the treated birds via drinking water throughout the 35 days. The results showed that the live weight of the treated bird was significantly (P<0.05) improved at 21, 28 and 35 days of age. Feed conversion ratio of the treated bird was significantly (P<O. 05) improved after the first week. The treated bird had a better, but not significantly different, daily live weight gain and total feed intake than the control bird. Probiotic supplementation via drinking water increases the income of the broiler farmer by as much as 11.76 cents/bird.
The Genetic Basis of Constitutive and Herbivore-Induced ESP-Independent Nitrile Formation in Arabidopsis1[W][OA]

Glucosinolates are a group of thioglucosides that are components of an activated chemical defense found in the Brassicales. Plant tissue damage results in hydrolysis of glucosinolates by endogenous thioglucosidases known as myrosinases. Spontaneous rearrangement of the aglucone yields reactive isothiocyanates that are toxic to many organisms. In the presence of specifier proteins, alternative products, namely epithionitriles, simple nitriles, and thiocyanates with different biological activities, are formed at the expense of isothiocyanates. Recently, simple nitriles were recognized to serve distinct functions in plant-insect interactions. Here, we show that simple nitrile formation in Arabidopsis (Arabidopsis thaliana) ecotype Columbia-0 rosette leaves increases in response to herbivory and that this increase is independent of the known epithiospecifier protein (ESP). We combined phylogenetic analysis, a screen of Arabidopsis mutants, recombinant protein characterization, and expression quantitative trait locus mapping to identify a gene encoding a nitrile-specifier protein (NSP) responsible for constitutive and herbivore-induced simple nitrile formation in Columbia-0 rosette leaves. AtNSP1 is one of five Arabidopsis ESP homologues that promote simple nitrile, but not epithionitrile or thiocyanate, formation. Four of these homologues possess one or two lectin-like jacalin domains, which share a common ancestry with the jacalin domains of the putative Arabidopsis myrosinase-binding proteins MBP1 and MBP2. A sixth ESP homologue lacked specifier activity and likely represents the ancestor of the gene family with a different biochemical function. By illuminating the genetic and biochemical bases of simple nitrile formation, our study provides new insights into the evolution of metabolic diversity in a complex plant defense system.
Characterization of Green Alga, Yeast, and Human Centrins

Centrins are a subfamily within the superfamily of Ca2+-modulated proteins that play a fundamental role in centrosome duplication and contraction of centrin-based fiber systems. We examined the individual molecular properties of yeast, green alga, and human centrins. Circular dichroism spectroscopy revealed a divergent influence of Ca2+ binding on the α-helical content of these proteins. Ca2+-free centrins were elongated in shape as determined by size exclusion chromatography. The presence of Ca2+ and binding peptide resulted in more spherical shaped centrins. In contrast to yeast calmodulin, centrins formed multimers in the Ca2+-bound state. This oligomerization was significantly reduced in the absence of Ca2+ and in the presence of binding peptide. The Ca2+-dependent polymerization of the green alga Scherffelia dubia centrin (SdCen) resulted in a filamentous network. This molecular property was mainly dependent on the amino-terminal subdomain and the peptide-binding site of SdCen. Finally, we analyzed whether SdCen and Cdc31p-SdCen hybrid proteins functionally substitute for the Saccharomyces cerevisiae centrin Cdc31p. Only hybrid proteins containing the amino-terminal subdomain or the third EF-hand of SdCen and the other subdomains from Cdc31p were functional in vivo.
A Novel Approach of Face Detection based on Skin Color Segmentation and PCA

Nowadays, face detection and recognition have gained importance in security and information access. In this paper, an efficient method of face detection based on skin color segmentation and principal components analysis(PCA) is proposed. Firstly, segmenting image using color model to filter candidate faces roughly; And then Eye-analogue segments at a given scale are discovered by finding regions which are darker than their neighborhoods to filter candidate faces farther; at the end, PCA method is used to extract the relevant information in human faces.
Arithmetic Cryptography

We study the possibility of computing cryptographic primitives in a fully black-box arithmetic model over a finite field F. In this model, the input to a cryptographic primitive (e.g., encryption scheme) is given as a sequence of field elements, the honest parties are implemented by arithmetic circuits that make only a black-box use of the underlying field, and the adversary has a full (non-black-box) access to the field. This model captures many standard information-theoretic constructions. We prove several positive and negative results in this model for various cryptographic tasks. On the positive side, we show that, under coding-related intractability assumptions, computational primitives like commitment schemes, public-key encryption, oblivious transfer, and general secure two-party computation can be implemented in this model. On the negative side, we prove that garbled circuits, additively homomorphic encryption, and secure computation with low online complexity cannot be achieved in this model. Our results reveal a qualitative difference between the standard Boolean model and the arithmetic model, and explain, in retrospect, some of the limitations of previous constructions.
Overexpression of Nerve Growth Factor in Skin Selectively Affects the Survival and Functional Properties of Nociceptors

Mice that overexpress nerve growth factor (NGF-OE) in the skin have double the normal number of cutaneous sensory neurons, have increased innervation of the skin and spinal cord, and are hyperalgesic. Here, we have asked whether the increased cutaneous NGF level results in a selective survival of only certain functional types of neurons and whether it changes the properties of cutaneous neurons. Using electron microscopy, we show that the number of both myelinated and unmyelinated nociceptors increases substantially in NGF-OE mice by a factor of 3.3 and 1.5, respectively. Using extracellular recordings from single units, we demonstrate that large myelinated (Aβ) fibers are unchanged in prevalence and receptive properties. In contrast, among thin myelinated (Aδ) fibers, the percentage of nociceptors increased from a normal 65 to 97%, consistent with a selective survival of nociceptors during embryogenesis. These afferents showed a twofold increase in their mechanical responsiveness, but their heat responsiveness remained normal. Among unmyelinated (C) fibers, there was a profound increase in the percentage of heat responsive neurons from a normal 42 to 96%. This change cannot be accounted for by a selective survival of heat-sensitive neurons. Unmyelinated nociceptors increased fourfold in their thermal responsiveness but decreased in mechanical responsiveness. Therefore, target-derived NGF selectively rescues nociceptors during the period of programmed cell death with different efficacy for thin myelinated or unmyelinated fibers. NGF also affects the response to noxious heat or mechanical stimuli in each group differently, implying specific regulations of transduction processes rather than general changes of excitability.
Classification du texte numérique et numérisé. Approche fondée sur les algorithmes d'apprentissage automatique. (Text and Image based classification of documents using machine and representation learning)

Differentes disciplines des sciences humaines telles la philologie ou la paleographie font face a des tâches complexes et fastidieuses pour l'examen des sources de donnees. La proposition d'approches computationnelles en humanites permet d'adresser les problematiques rencontrees telles que la lecture, l'analyse et l'archivage de facon systematique. Les modeles conceptuels elabores reposent sur des algorithmes et ces derniers donnent lieu a des implementations informatiques qui automatisent ces tâches fastidieuses. La premiere partie de la these vise, d'une part, a etablir la structuration thematique d'un corpus, en construisant des espaces semantiques de grande dimension. D'autre part, elle vise au suivi dynamique des thematiques qui constitue un reel defi scientifique, notamment en raison du passage a l'echelle. La seconde partie de la these traite de maniere holistique la page d'un document numerise sans aucune intervention prealable. Le but est d'apprendre automatiquement des representations du trait de l'ecriture ou du trace d'un certain script par rapport au trace d'un autre script. Il faut dans ce cadre tenir compte de l'environnement ou se trouve le trace : image, artefact, bruits dus a la deterioration de la qualite du papier, etc. Notre approche propose un empilement de reseaux de neurones auto-encodeurs afin de fournir une representation alternative des donnees recues en entree.
Spear: An open source toolbox for speaker recognition based on Bob

In this paper, we introduce Spear, an open source and extensible toolbox for state-of-the-art speaker recognition. This toolbox is built on top of Bob, a free signal processing and machine learning library. Spear implements a set of complete speaker recognition toolchains, including all the processing stages from the front-end feature extractor to the final steps of decision and evaluation. Several state-of-the-art modeling techniques are included, such as Gaussian mixture models, inter-session variability, joint factor analysis and total variability (i-vectors). Furthermore, the toolchains can be easily evaluated on well-known databases such as NIST SRE and MOBIO. As a proof of concept, an experimental comparison of different modeling techniques is conducted on the MOBIO database.
Neuroscience in middle schools: a professional development and resource program that models inquiry-based strategies and engages teachers in classroom implementation.

The Department of Neuroscience at the University of Minnesota and the Science Museum of Minnesota have developed and implemented a successful program for middle school (grades 5-8) science teachers and their students, called Brain Science on the Move. The overall goals have been to bring neuroscience education to underserved schools, excite students about science, improve their understanding of neuroscience, and foster partnerships between scientists and educators. The program includes BrainU, a teacher professional development institute; Explain Your Brain Assembly and Exhibit Stations, multimedia large-group presentation and hands-on activities designed to stimulate student thinking about the brain; Class Activities, in-depth inquiry-based investigations; and Brain Trunks, materials and resources related to class activities. Formal evaluation of the program indicated that teacher neuroscience knowledge, self-confidence, and use of inquiry-based strategies and neuroscience in their classrooms have increased. Participating teachers increased the time spent teaching neuroscience and devoted more time to "inquiry-based" teaching versus "lecture-based teaching. " Teachers appreciated in-depth discussions of pedagogy and science and opportunities for collegial interactions with world-class researchers. Student interest in the brain and in science increased. Since attending BrainU, participating teachers have reported increased enthusiasm about teaching and have become local neuroscience experts within their school communities.
Distinctions in Breast Tumor Recurrence Patterns Post-Therapy among Racially Distinct Populations

Background Clinical studies have revealed a higher risk of breast tumor recurrence in African-American (AA) patients compared to European-American (EA) patients, contributing to the alarming inequality in clinical outcomes among the ethnic groups. However, distinctions in recurrence patterns upon receiving hormone, radiation, and/or chemotherapy between the races remain poorly characterized. Methods We compared patterns and rates (per 1000 cancer patients per 1 year) of recurrence following each form of treatment between AA (n = 1850) and EA breast cancer patients (n = 7931) from a cohort of patients (n = 10504) treated between 2005–2015 at Northside Hospital in Atlanta, GA. Results Among patients who received any combination of adjuvant therapy, AA displayed higher overall rates of recurrence than EA (p = 0.015; HR: 1.699; CI: 1.108–2.606). Furthermore, recurrence rates were higher in AA than EA among stage I (p = 0.031; HR: 1.736; CI: 1.052–2.864) and T1 classified patients (p = 0.003; HR: 2.009; CI: 1.263–3.197). Interestingly, among patients who received neoadjuvant chemotherapy, AA displayed higher rates of local recurrence than EA (p = 0.024; HR: 7.134; CI: 1.295–39.313). Conclusion Our analysis revealed higher incidence rates of recurrence in AA compared to EA among patients that received any combination of adjuvant therapy. Moreover, our data demonstrates an increased risk of tumor recurrence in AA than EA among patients diagnosed with minimally invasive disease. This is the first clinical study to suggest that neoadjuvant chemotherapy improves breast cancer recurrence rates and patterns in AA.
Why has it been so difficult to prove the efficacy of alpha-1-antitrypsin replacement therapy? Insights from the study of disease pathogenesis

Alpha-1-antitrypsin is the most abundant circulating protease inhibitor. It is mainly produced by the liver and secreted into the circulation where it acts to prevent excessive proteolytic damage in the lungs by the enzyme neutrophil elastase. The most common severe deficiency allele is the Z mutation, which causes the protein to self-associate into ordered polymers. These polymers accumulate within hepatocytes to cause liver damage. The resulting lack of circulating α1-antitrypsin predisposes the Z homozygote to proteolytic lung damage and emphysema. Other pathways may also contribute to the development of lung disease. In particular, polymers of Z α1-antitrypsin can form within the lung where they act as a pro-inflammatory stimulus that may exacerbate protease-mediated lung damage. Researchers recognized in the 1980s that plasma α1-antitrypsin levels could be restored by intravenous infusions of purified human protein. Alpha-1-antitrypsin replacement therapy was introduced in 1987 but subsequent clinical trials have produced conflicting results, and to date there remains no widely accepted clinical evidence of the efficacy of α1-antitrypsin replacement therapy. This review addresses our current understanding of disease pathogenesis in α1-antitrypsin deficiency and questions why this treatment in isolation may not be effective. In particular it discusses the possible role of α1-antitrypsin polymers in exacerbating intrapulmonary inflammation and attenuating the efficacy of α1-antitrypsin replacement therapy.
Regulation of MMP13 by antitumor microRNA-375 markedly inhibits cancer cell migration and invasion in esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive malignancies. Recently developed molecular targeted therapies are not available for patients with ESCC. After curative surgical resection, patients frequently suffer distant metastasis and recurrence. Exploration of novel ESCC metastatic pathways may lead to the development of new treatment protocols for this disease. Accordingly, we have sequentially identified microRNA (miRNA)-mediated metastatic pathways in several cancers. Our past studies of miRNA expression signatures have shown that microRNA-375 (miR-375) is frequently reduced in several types of cancers, including ESCC. In the present study, we aimed to investigate novel miR-375-mediated metastatic pathways in ESCC cells. The expression of miR-375 was downregulated in ESCC tissues, and ectopic expression of this miRNA markedly inhibited cancer cell migration and invasion, suggesting that miR-375 acted as an antimetastatic miRNA in ESCC cells. Our strategies for miRNA target searching demonstrated that matrix metalloproteinase 13 (MMP13) was directly regulated by miR-375 in ESCC cells. Overexpression of MMP13 was observed in ESCC clinical tissues, and the expression of MMP13 promoted cancer cell aggressiveness. Moreover, oncogenic genes, including CENPF, KIF14 and TOP2A, were shown to be regulated downstream of MMP13. Taken together, these findings demonstrated that the antitumor miR-375/oncogenic MMP13 axis had a pivotal role in ESCC aggressiveness. These results provide novel insights into the potential mechanisms of ESCC pathogenesis.
Expression of Thymidine Phosphorylase in Human Gastric Carcinoma

The activity of thymidine phosphorylase (dThdPase) has heen reported to increase in several types of malignant tumors. Experimental evidence has shown that dThdPase is identical to platelet‐derived endothelial cell growth factor, and that dThdPase has angiogenic activity. We examined the expression of dThdPase to investigate whether the expression of dThdPase correlates with angiogenesis, clinicopathologic features and the prognosis of patients with human gastric carcinomas. Microvessels were assessed by immnnostaining endothelial cells for factor VIII. We counted microvessels in the tumors of 158 patients whose tumors were completely removed surgically. Microvessels were counted in a × 400 field in the most active areas of neovascularization. We purified a monoclonal antibody (TMA‐1) against dThdPase and studied the expression of dThdPase using TMA‐1 in the same serial sections as those used for the detection of factor VIII. The correlation between angiogenesis and dThdPase, and the clinicopathological significance of dThdPase, in patients with gastric carcinoma were examined. The positive expression of dThdPase was more frequent (P<0.001) in gastric carcinomas (67/158, 43.4%) than that in normal tissues (12/158, 7.6%). The average microvessel count in dThdPase‐positive gastric carcinomas was higher (P<0.001) than that in dThdPase‐negative carcinomas. The percentage of gastric carcinoma cells expressing dThdPase was significantly correlated with the microvessel count (P<0.001). Further, the average size of dThdPase‐positive carcinomas was significantly larger (P<0.001) than that of negative carcinomas and the mean microvessel count in dThdPase‐positive gastric carcinomas was also significantly higher (P<0.001) than that in dThdPase‐negative carcinomas. There was a significant correlation between the positive expression of dThdPase and microvessel count (P<0.001) or lymph node metastasis (P=0.013) by multivariate logistic analysis. Further, patients with dThdPase‐positive carcinoma showed a significantly worse prognosis than those with dThdPase‐negative carcinoma overall and in stage III. These findings indicate that the expression of dThdPase in gastric carcinomas is related to progression and metastasis, and this enzyme affects the prognosis of some patients with the disease.
An extensible rule transformation model for XQuery optimization - rules pattern for XQuery tree graph view

Efficient evaluation of XML Query Languages has become a crucial issue for XML exchanges and integration. Tree Pattern (Sihem et al., 2002; Jagadish et al., 2001; Chen et al., 2003) are now well admitted for representing XML Queries and a model -called TGV (Travers, 2006; Travers et al., 2006; Travers et al., 2007c)has extended the Tree Pattern representation in order to make it more intuitive, respect full XQuery specification and got support to be manipulated, optimized and then evaluated. For optimization, a search strategy is needed. It consists in generating equivalent execution plan using extensible rules and estimate cost of plan to find the better one. We propose the specification of extensible rules that can be used in heterogeneous environment, supporting XML and manipulating Tree Patterns.
Tolerating Faults in Disaggregated Datacenters

Recent research shows that disaggregated datacenters (DDCs) are practical and that DDC resource modularity will benefit both users and operators. This paper explores the implications of disaggregation on application fault tolerance. We expect that resource failures in a DDC will be fine-grained because resources will no longer fate-share. In this context, we look at how DDCs can provide legacy applications with familiar failure semantics and discuss fate sharing granularities that are not available in existing datacenters. We argue that fate sharing and failure mitigation should be programmable, specified by the application, and primarily implemented in the SDN-based network.
Online Adaptive Neuro-Fuzzy Based Full Car Suspension Control Strategy

Suspension system of a vehicle is used to minimize the effect of different road disturbances for ride comfort and improvement of vehicle control. A passive suspension system responds only to the deflection of the strut. The main objective of this work is to design an efficient active suspension control for a full car model with 8-Degrees Of Freedom (DOF) using adaptive soft-computing technique. So, in this study, an Adaptive Neuro-Fuzzy based Sliding Mode Control (ANFSMC) strategy is used for full car active suspension control to improve the ride comfort and vehicle stability. The detailed mathematical model of ANFSMC has been developed and successfully applied to a full car model. The robustness of the presented ANFSMC has been proved on the basis of different performance indices. The analysis of MATLAB/SMULINK based simulation results reveals that the proposed ANFSMC has better ride comfort and vehicle handling as compared to Adaptive PID (APID), Adaptive Mamdani Fuzzy Logic (AMFL), passive, and semi-active suspension systems. The performance of the active suspension has been optimized in terms of displacement of seat, heave, pitch, and roll.