Miracle-dz/UniFAR-FTUs huggingface dataset:
LE « SMART-METERING » EN SUISSE ROMANDE : conditions sociales d’acceptation et d’appropriation

La nouvelle strategie energetique de la Confederation Suisse pose la question de l’efficacite energetique comme un defi majeur pour les annees a venir. L’installation de « compteurs communicants » (CC) permettant de mesurer la consommation en temps reel et a distance est regulierement presentee comme une solution pour reduire la consommation energetique. Cependant, cette nouvelle technologie pose egalement des questions quant a la liberalisation du marche de l’energie, a la repartition des couts de mise en œuvre et la protection des donnees individuelles. L’objectif de cette recherche est d’accompagner les etapes de developpement de ces nouvelles technologies dites « intelligentes » en insistant sur les conditions sociales de l’implantation des premiers compteurs numeriques en Suisse Romande. L’approche sociologique nous invite a considerer cette innovation comme un reseau sociotechnique en formation, impliquant des producteurs, des institutions, des usagers et des objets techniques (Latour, 1992 ; Gaglio, 2010). Dans cette etude, on s’interesse en particulier a la reception des CC par les consommateurs. Quels sont les facteurs sociaux qui conditionnent le succes d’une innovation technologique ? Quels sont les moteurs de l’innovation pour les compteurs communicants en Suisse? Quelles sont les motivations pour leur deploiement ? Comment les premiers compteurs communicants ont-ils ete recus par les premiers usagers ? Dans la premiere partie de ce travail, on montrera que le processus de « traduction » entre les differents acteurs aux interets et aux modes de communication heterogenes est emaille de nombreuses controverses. Dans la deuxieme partie, on passera a l’etude des aspects sociaux et comportementaux de la consommation energetique. La troisieme partie, dediee a l’etude de cas « Green E-Value » a Gland (Vaud), invitera le lecteur a decouvrir les profils des usagers et a saisir leurs perceptions et reactions face a l’installation des CC dans leurs immeubles. Les principales conclusions de ce travail sont que, si effectivement les CC sont une innovation technique, ils ne sont pas encore une innovation sociale a proprement parler. La « clef du succes » des CC n’est pas contenue dans la technologie elle-meme mais dans l’environnement d’implantation. Ce sont finalement les conditions d’appropriation par les usagers qui determineront leur utilite sociale. Aussi reste-t-il a creer des conditions cadres au deploiement des CC et mettre en place des mesures accompagnatrices – tant de la part des pouvoirs publics que des fournisseurs – pour que les CC puissent reellement tenir leurs promesses d’efficacite energetique. En guise de conclusion on proposera des pistes d’action aux fournisseurs ainsi qu’a l’attention de l’administration publique.
Silymarin nanoparticle prevents paracetamol-induced hepatotoxicity

Silymarin (Sm) is a polyphenolic component extracted from Silybum marianum. It is an antioxidant, traditionally used as an immunostimulant, hepatoprotectant, and dietary supplement. Relatively recently, Sm has proved to be a valuable chemopreventive and a useful antineoplastic agent. Medical success for Sm is, however, constrained by very low aqueous solubility and associated biopharmaceutical limitations. Sm flavonolignans are also susceptible to ion-catalyzed degradation in the gut. Proven antihepatotoxic activity of Sm cannot therefore be fully exploited in acute chemical poisoning conditions like that in paracetamol overdose. Moreover, a synchronous delivery that is required for hepatic regeneration is difficult to achieve by itself. This work is meant to circumvent the inherent limitations of Sm through the use of nanotechnology. Sm nanoparticles (Smnps) were prepared by nanoprecipitation in polyvinyl alcohol stabilized Eudragit RS100® polymer (Rohm Pharma GmbH, Darmstadt, Germany). Process parameter optimization provided 67.39% entrapment efficiency and a Gaussian particle distribution of average size 120.37 nm. Sm release from the nanoparticles was considerably sustained for all formulations. Smnps were strongly protective against hepatic damage when tested in a paracetamol overdose hepatotoxicity model. Nanoparticles recorded no animal death even when administered after an established paracetamol-induced hepatic necrosis. Preventing progress of paracetamol hepatic damage was traced for an efficient glutathione regeneration to a level of 11.3 μmol/g in hepatic tissue due to Smnps.
SiTAKA at SemEval-2017 Task 4: Sentiment Analysis in Twitter Based on a Rich Set of Features

This paper describes SiTAKA, our system that has been used in task 4A, English and Arabic languages, Sentiment Analysis in Twitter of SemEval2017. The system proposes the representation of tweets using a novel set of features, which include a bag of negated words and the information provided by some lexicons. The polarity of tweets is determined by a classifier based on a Support Vector Machine. Our system ranks 2nd among 8 systems in the Arabic language tweets and ranks 8th among 38 systems in the English-language tweets.
Genomic and phenotypic architecture of a spruce hybrid zone (Picea sitchensis × P. glauca)

Interspecific hybridization may enhance the capacity of populations to adapt to changing environments, and has practical implications for reforestation. We use genome‐wide estimates of admixture and phenotypic traits for trees in a common garden to examine the extent and direction of gene flow across a Picea hybrid zone, testing assumptions of the bounded hybrid superiority and tension zone models of hybrid zone maintenance. Seeds were collected from the ecological transition zone spanning from maritime to continental climates across the Picea sitchensis–P. glauca contact zone, and 721 trees were planted in a common garden experiment within the hybrid zone. Individuals were genotyped using a panel of 384 candidate‐gene single nucleotide polymorphisms (SNPs) putatively associated with adaptive traits in Picea, and phenotyped at age ten for height and autumn cold hardiness. Low interspecific heterozygosity in hybrids indicated that intrinsic reproductive barriers were too weak to prevent widespread recombination, although introgression appeared asymmetric with P. sitchensis dominating the zone. Whereas marker‐based hybrid index was strongly correlated with climate and geography, phenotypic traits exhibited weak or no significant clines. Our results indicated that exogenous selection appeared to play a strong role in the distribution and structure of this hybrid zone, indicative of an environmentally determined bounded hybrid superiority model of hybrid zone maintenance, although endogenous mechanisms could not be ruled out. This study provides insight into the mechanisms underlying adaptation across ecologically transitional hybrid zones that will ultimately provide an additional tool in managing these economically important tree species.
The Aquila Digital Community The Aquila Digital Community Inversion of Diffraction Data for Amorphous Materials Inversion of Diffraction Data for Amorphous Materials

The general and practical inversion of diffraction data–producing a computer model correctly representing the material explored–is an important unsolved problem for disordered materials. Such modeling should proceed by using our full knowledge base, both from experiment and theory. In this paper, we describe a robust method to jointly exploit the power of ab initio atomistic simulation along with the information carried by diffraction data. The method is applied to two very different systems: amorphous silicon and two compositions of a solid electrolyte memory material silver-doped GeSe 3 . The technique is easy to implement, is faster and yields results much improved over conventional simulation methods for the materials explored. By direct calculation, we show that the method works for both poor and excellent glass forming materials. It offers a means to add a priori information in first-principles modeling of materials, and represents a significant step toward the computational design of non-crystalline materials using accurate interatomic interactions and experimental information. analyzing peaks In conclusion, we have introduced a new and practical method that enables the joint exploitation of exper- imental information and the information inherent to ab initio total-energy calculations, and a powerful new approach, to the century-old problem of structural inversion of diffraction data. The method is simple and robust, and independent of the systems, the convergence of which has been readily obtained in two highly distinct systems, both known to be challenging and technologically useful. By direct calculation, we show the network topol- ogy of a-Si, implied by the atomic pair correlations and accurate total energies, is: structurally similar to WWW models, including the bond-angle distribution. Using only the total structure-factor (or pair-correlation) data and SIESTA/VASP, we obtain models of unprecedented accuracy for a difficult test case ( a -Si) and a technologically important memory material (GeSe 3 Ag). The inclusion of a priori experimental information emphasized here may also be developed into a scheme to include other information for materials optimization. It is easily utilized with any interatomic potentials, including promising current developments in “machine learning” 36 . The method is unbiased in the sense that it starts from a completely random configuration and explore the configuration space of a total-energy functional aided by additional experimental information to arrive at a stable amorphous state. Beside these attributes, it requires fewer force calls to the expensive ab initio interactions.
Equivalence Checking in Embedded Systems Design Verification using PRES+ model

In this paper we focus on some aspects related to modeling and formal verification of embedded systems. Many models have been proposed to represent embedded systems. These models encompass a broad range of styles, characteristics, and application domains and include the extensions of finite state machines, data flow graphs, communication processes and Petri nets. In this report, we have used a PRES+ model (Petri net based Representation for Embedded Systems) as an extension of classical Petri net model that captures concurrency, timing behaviour of embedded systems; it allows systems to be representative in different levels of abstraction and improves expressiveness by allowing the token to carry information. Modeling using PRES+, as discussed above, may be convenient for specifying the input behaviour because it supports concurrency. However, there is no equivalence checking method reported in the literature for PRES+ models to the best of our knowledge. In contrast, equivalence checking of FSMD models exist. As a first step, therefore, we seek to devise an algorithm to translate PRES+ models to FSMD models and we seek to hand execute our algorithm on a real life example and we have to translate two versions of PRES+ models to FSMD models. Then using existing equivalence checker we have checked the equivalence between two FSMD models.
Fraud detection in health insurance using data mining techniques

Fraud is widespread and very costly to the healthcare insurance system. Fraud involves intentional deception or misrepresentation intended to result in an unauthorized benefit. It is shocking because the incidence of health insurance fraud keeps increasing every year. In order to detect and avoid the fraud, data mining techniques are applied. This includes some preliminary knowledge of health care system and its fraudulent behaviors, analysis of the characteristics of health care insurance data. Data mining which is divided into two learning techniques viz., supervised and unsupervised is employed to detect fraudulent claims. But, since each of the above techniques has its own set of advantages and disadvantages, by combining the advantages of both the techniques, a novel hybrid approach for detecting fraudulent claims in health insurance industry is proposed.
Control parental e intento de suicidio en adolescentes mexicanos

The purpose of this study is to analyze differences in parental control among adolescents who have and have not attempted suicide. A non-probabilistic sample of 507 adolescents (54,3% male and 45,7% female), high school students, ranging between 11 to 15 years of age were selected. The Betancourt Scale for Adolescent Parental Control (2007) was used to obtain the data. This scale consists of two scales, one for mothers and one for fathers. The maternal scale is made up of five dimensions: psychological control, communication, monitoring, overprotection and supervision friends. The paternal scale includes seven dimensions: behavioral control, psychological control, overprotection, reasoning, punishment, physical punishment and permissiveness. Both scales are Likert with four multiple choice answers, ranging from never to always. The suicide attempt was assessed with five frequency indicators, the method that was employed, and the reason for it, the age and the graveness. The results showed that 11,2% of adolescents reported at least one suicide attempt in their lifetime, while 4,4% said they had tried more than once. Student t tests for independent samples were performed, with the purpose of comparing those who have attempted suicide and have no regard to the dimensions of parental control. The results showed significant differences, so we can say that generally young people who have attempted suicide perceived greater psychological control and less behavioral control from their parents than those who have not attempted suicide. © Revista Colombiana de Ciencias Sociales.
The Genome Sequence of Taurine Cattle: A Window to Ruminant Biology and Evolution

A survey of genetic diversity of cattle suggests two domestication events in Asia and selection by husbandry. Not Just Dinner on Legs Several thousand years ago, human beings realized the virtues of domesticating wild animals as easy meat. Soon other possibilities became apparent, and as revealed in a series of papers in this issue, early pastoralists became selective about breeding for wool, leather, milk, and muscle power. In two papers, Gibbs et al. report on the bovine genome sequence (p. 522; see the cover, the Perspective by Lewin, and the Policy Forum by Roberts) and trace the diversity and genetic history of cattle (p. 528), while Chessa et al. (p. 532) survey the occurrence of endogenous retroviruses in sheep and map their distribution to historical waves of human selection and dispersal across Europe. Finally, Ludwig et al. (p. 485) note the origins of variation in the coat-color of horses and suggest that it is most likely to have been selected for by humans in need of good-looking transport. To understand the biology and evolution of ruminants, the cattle genome was sequenced to about sevenfold coverage. The cattle genome contains a minimum of 22,000 genes, with a core set of 14,345 orthologs shared among seven mammalian species of which 1217 are absent or undetected in noneutherian (marsupial or monotreme) genomes. Cattle-specific evolutionary breakpoint regions in chromosomes have a higher density of segmental duplications, enrichment of repetitive elements, and species-specific variations in genes associated with lactation and immune responsiveness. Genes involved in metabolism are generally highly conserved, although five metabolic genes are deleted or extensively diverged from their human orthologs. The cattle genome sequence thus provides a resource for understanding mammalian evolution and accelerating livestock genetic improvement for milk and meat production.
Building Blocks for an Elastic Mobile Core

The mobile core is currently served by gateways having a convoluted control plane and data plane. We abstract and modularize the key functions of these gateways, and separate the control and data plane in nwEPC, an open source implementation of the mobile access network gateways. We use our custom load balancer for the control plane to demonstrate the elasticity offered by our implementation.
Combined photodynamic therapy and intravitreal triamcinolone injection for the treatment of choroidal neovascularisation secondary to pathological myopia: a pilot study

Intravitreous triamcinolone associated with PDT should preferably be used among elderly patients who usually show lower visual acuity and a poorer response to PDT, or among patients with recurrent or greater CNVs High myopia is a major cause of legal blindness in many developed countries, affecting 2% of the general population. Myopic maculopathy, mainly in the form of subfoveal choroidal neovascularisation (CNV), is the most common cause of vision loss in patients with high myopia. The appearance of lacquer cracks and the presence of high levels of vascular endothelial growth factor and pigment epithelium-derived factor1 are probably involved in the development of myopic CNV. These findings have given way to new theories and approaches to the treatment of myopic CNV. Different therapeutic approaches have been tried for this condition. Photocoagulation2 and surgical removal of subfoveal or juxtafoveal myopic CNV3 are no longer performed because of poor final visual acuity. During the past few years, the two main approaches to subfoveal myopic CNV have been macular translocation4 and photodynamic therapy (PDT). PDT has been a major advance in the management of this condition after the good results achieved by the Verteporfin in Photodynamic 1 Study.5,6 The response of myopic CNV to PDT is considerably better than that of age-related macular degeneration (AMD), requiring less PDT sessions and resulting in better final visual acuity.7 This is probably related to the aetiopathogenic mechanism of myopic CNV, …
Méthodes d'apprentissage pour la recherche de catégories dans des bases d'images. (Learning methods for category retrieval in image databases)

La diminution du cout de stockage et la disponibilite de techniques de numerisation de haute qualite permettent aussi aujourd'hui de constituer de tres grandes bases d'images dans des domaines varies. Ces bases sont souvent immenses et generalement sous-exploitees faute d'outils pour acceder a l'information qu'elles contiennent. Dans cette these, nous proposons un ensemble de techniques d'apprentissage pour la recherche de categories d'images, regroupees au sein du systeme RETIN 2. Du point de vue de l'indexation, nous proposons une methode de quantification d'un tres grand nombre de vecteurs pour la construction de signatures sous la forme d'histogrammes, ainsi qu'une approche de la similarite par fonction noyau. Du point de vue de la recherche interactive, nous etudions de nombreuses techniques de classification, et presentons l'apprentissage actif, qui offre un cardre formel pour la selection des images a faire annoter par l'utilisateur. Nous proposons plusieurs methodes au sein d'une architecture d'apprentissage actif qui permettent de faire face aux carateristiques particulieres de la recherche interactive d'images. Le dernier point important que nous avons etudie concerne la re-utilisation des annotations que les utilisateurs fournissent lors des sessions de recherche. Nous presentons le caractere faiblement supervise de ce probleme d'apprentissage dans notre contexte. Nous proposons deux methodes qui s'appuient sur une modification des similarites entre les images dans le cadre de l'utilisation de fonctions noyaux. Le systeme est evalue sur une base d'images generaliste de plusieurs milliers d'images.
Psychological and sociodemographic predictors of premature discontinuation of a 1-year multimodal outpatient weight-reduction program: an attrition analysis

Objective Attrition rates of up to 77% have been reported in conservative weight-reduction programs for the treatment of obesity. In view of the cost of such programs to the health system, there is a need to identify the variables that predict premature discontinuation of treatment. Previous studies have focused mainly on somatic and sociodemographic parameters. The prospective influence of psychological factors has not been systematically investigated to date. Methods A total of 164 patients (138 of whom were women) with a mean age of 45 years and a mean body mass index of 39.57 participated in a 1-year outpatient weight-reduction program at the Charité – Universitätsmedizin Berlin University Hospital. The program included movement therapy, dietary advice, psychoeducational and behavioral interventions, relaxation procedures, and consultations with a specialist in internal medicine and a psychologist. Patients also underwent regular laboratory and psychological testing. The results were evaluated using a t-test, χ2-test, and logistic regression analysis. Results Seventy-one of the 164 patients (61 women, mean age = 43 years, mean body mass index = 39.53) withdrew before the end of the program (attrition rate = 43.3%). While there were no differences between the somatic and metabolic characteristics of those who withdrew and those who remained, the sociodemographic and psychological factors had some relevance. In particular, “expectation of self-efficacy” (Fragebogen zu Selbstwirksamkeit, Optimismus und Pessimismus [SWOP]), “not working,” “tiredness” (Berliner Stimmungsfragebogen [BSF]), “pessimism” (SWOP) and “positive reframing” (Brief-COPE) were found to play a role in whether participants subsequently dropped out of the treatment. “Support coping” (Brief-COPE) and “older age” prior to the start of treatment were identified as variables that promoted treatment adherence. Conclusion The results are discussed in light of previous findings and with regard to whether the modules of the weight-reduction program should be adapted.
Clinical significance of ALDH2 rs671 polymorphism in esophageal cancer: evidence from 31 case-control studies

Background Aldehyde dehydrogenase 2 (ALDH2), a critical enzyme for the detoxification of alcohol, is associated with many types of cancers. To verify the relationship of ALDH2 rs671 G>A polymorphism and esophageal cancer (EC), we performed a meta-analysis of a total of 31 published data including 8,510 patients and 16,197 controls. Methods The pooled odds ratio (OR) and the 95% confidence interval (CI) were calculated using a fixed or random-effects model. Heterogeneity (PH), publication bias, and sensitivity analysis were also determined. Results Although a protective effort was found in the rs671 homozygote comparison (AA/GG: OR=0.69; 95% CI=0.48–0.98), the heterozygote comparison was apparently associated with the risk of EC, particularly in the Chinese population (AG/GG: OR=1.39; 95% CI=1.03–1.87). Alcohol consumption remarkably increased this risk, especially in the AG genotype. Drinking men with the AG genotype appeared to show a higher risk (AG/GG: OR=4.39; 95% CI=1.24–6.55) than drinking women. Conclusion The present meta-analysis provided advanced information regarding the association of the ALDH2 A>G polymorphism and EC. Taken together, insights from this study suggested an enhanced effect on the development of EC through a genetic–environmental interaction.
Improving Naïve Bayes classifier for software architecture reconstruction

Documentation of software architecture is a good approach to understand the architecture of a software system and to match it with the changes needed during the software maintenance phase. In several systems like legacy or older systems these documents are not available or if available; they are not up-to-date and usable. So, reconstruction of architecture in order to maintain these systems is a necessary activity. When we talk about software architecture, usually we are looking for a modular view of architecture with low coupling and high cohesion. In this paper, we try to improve the algorithm of machine-learning which is presented before for architecture recovery, and we propose using it for architecture reconstruction in order to obtain optimum modularity in the architecture with low coupling and high cohesion. The proposed algorithm is evaluated in a case study, and its results are presented.