Miracle-dz/UniFAR-FTUs huggingface dataset:
Spatiotemporal Load-Analysis Model for Electric Power Distribution Facilities Using Consumer Meter-Reading Data

The load analysis for the distribution system and facilities has relied on measurement equipment. Moreover, load monitoring incurs huge costs in terms of installation and maintenance. This paper presents a new model to analyze wherein facilities load under a feeder every 15 min using meter-reading data that can be obtained from a power consumer every 15 min or a month even without setting up any measuring equipment. After the data warehouse is constructed by interfacing the legacy system required for the load calculation, the relationship between the distribution system and the power consumer is established. Once the load pattern is forecasted by applying a clustering and classification algorithm of temporal data-mining techniques for the power customer who is not involved in automatic meter reading, a single-line diagram per feeder is created, and power-flow calculation is executed. The calculation result is analyzed by using various temporal and spatial analysis methods, such as the Internet geographic information system, single-line diagram, and online analytical processing.
Transmissible substrate-utilizing ability in enterobacteria.

Three of 152 strains of Escherichia coli transmitted their ability to utilize sucrose (Sac+) to other strains by conjugation. The transfer factor of one of them and of a Sac+ Salmonella thompson strain was thermosensitive. The raffinose-utilizing ability of 27 of 163 E. coli strains was also transmissible. Transmissible raffinose-utilizing ability was a feature of porcine enterpathogenic strains possessing the K88 antigen. The determinants controlling raffinose utilization (Raf) and K88 antigen production were commonly transmitted together from these strains; so also was the determinant controlling enterotoxin production, but to a lesser extent. It was not possible to transfer lactose-utilizing ability from 320 strains of E. coli, salicin-utilizing ability from 12 strains of E. coli or dulcitol-utilizing ability from 99 strains of E. coli and 88 strains of salmonellae. Sucrose- and raffinose-utilizing ability were transmitted separately to several Salmonella sp. , including Salm. typhi, to Shigella flexneri and Sh. sonnei and to a variety of strains of E. coli. A strain of Salm. typhimurium in which Sac had been established and a strain of E. coli in which Raf had been established survived less well in the alimentary tract of chickens than their Sac minus or Raf minus parent strains.
AIRE Recruits P-TEFb for Transcriptional Elongation of Target Genes in Medullary Thymic Epithelial Cells

ABSTRACT AIRE is a transcriptional activator that directs the ectopic expression of many tissue-specific genes in medullary thymic epithelial cells, which plays an important role in the negative selection of autoreactive T cells. However, its mechanism of action remains poorly understood. In this study, we found that AIRE regulates the step of elongation rather than initiation of RNA polymerase II. For these effects, AIRE bound and recruited P-TEFb to target promoters in medullary thymic epithelial cells. In these cells, AIRE activated the ectopic transcription of insulin and salivary protein 1 genes. Indeed, by chromatin immunoprecipitation, we found that RNA polymerase II was already engaged on these promoters but was unable to elongate in the absence of AIRE. Moreover, the genetic inactivation of cyclin T1 from P-TEFb abolished the transcription of AIRE-responsive genes and led to lymphocytic infiltration of lacrimal and salivary glands in the CycT1−/− mouse. Our findings reveal critical steps by which AIRE regulates the transcription of genes that control central tolerance in the thymus.
Pathology of Trichuris suis infection in pigs fed an inulin- and a non-inulin-containing diet.

Pathology of the colon in pigs infected with Trichuris suis and fed an inulin and a non-inulin containing diet was studied to investigate the inflammatory response induced and the influence of inulin on this. Twenty-nine pigs were allocated into four groups (N-7, I-7, N-9 and N/I-9). Groups N-7, N-9 and N/I-9 were given a diet with non-fermentable carbohydrates, and group I-7 was fed a diet including fermentable carbohydrates (inulin). After 2 weeks, all pigs were inoculated with 2000 T. suis eggs. Seven weeks post-infection (p.i.), groups N-7 and I-7 were killed and group N/I-9 changed to inulin diet to study the influence of inulin on already established T. suis. Nine weeks p.i. , groups N-9 and N/I-9 were killed. Trichuris suis were collected from the colon for enumeration. Tissues from the colon of each pig were taken for histological and immunohistochemical quantitative and semi-quantitative evaluations of heterophils, eosinophils, mast cells, IgA(+), IgG(+), IgM(+) and CD3(+) cells. The findings were compared with tissues from seven uninfected pigs of the same age. Pigs fed inulin had significantly fewer worms compared with pigs on the non-fermentable carbohydrate diet. The number of inflammatory cells in the colonic mucosa was increased in all T. suis-infected pigs compared with uninfected controls. The numbers of eosinophils, mast cells, IgA(+), IgG(+) and CD3(+) cells were significantly lower in pigs fed inulin than pigs fed non-fermentable carbohydrate. Whether this is a direct effect of inulin or a secondary effect due to the lower parasitic burden in inulin fed pigs is not known.
Wave-Based Algorithms and Bounds for Target Support Estimation

Abstract : In this research program we developed novel analytical and computational methods to estimate the support of radiating sources and scatterers from knowledge of the corresponding far field radiation pattern or scattering amplitude. The focus was the development of methods to estimate the so-called minimum source region or scattering support of a far field. The support of any source that generates the given far field must contain this minimum source region. The results were derived in the framework of the Helmholtz equation. The derived methodology consisted of two components, one for the estimation of convex support information, and a subsequent procedure to estimate the nonconvex support. This project also led to new theoretical and computational developments in estimation-theoretic assessment of radar target separation estimability from far field data as well as to a new change detection method called the optical theorem detector, which is relevant to detect unknown targets and changes in random and complex media.
Effect of Eight Weeks Continuous Resistance Trainings on Excretions of Urinary Proteins in Rest Time and in Response to one Turn of Resistance Exercise in Active Young Women

The purpose of the present study was determination of acute and chronic effect of 8 weeks intermittent resistance trainings on amounts of Albumin, Total protein, β-2 microglobulin, creatinine, and Protein to creatinine ratio and urinary red globules of active young women. 14 student girls of Tehran city with ages of 20-25 years old were purposefully chosen and randomly divided to 2 groups of intermittent resistance training (7 persons) and control (7 persons). They attended 48 hr before and 48 hr after progressive intermittent resistance in test session, which urinary samples were taken from the training group, immediately then and 1 hr after one session intermittent resistance activity with similar intensity to before and after the trainings period, and from the control one, without doing any activity. For each sample, amounts of total protein, albumin, β-2 microglobulin, creatinine and red globules of urine and also amount of urinary protein to creatinine ratio were measured and calculated. In order to investigate variations of variables in the training group, T paired test was used, and to compare relaxation levels of variables between the training group and the control one, independent T test was utilized. The training group showed greater albuminuria, Total proteinuria, and β-2 microglobulinuria to the control one (P 0.05). Urinary protein to creatinine ratio and hematuria in intermittent resistance training group increased, significantly (P<0.05). According to these results, intermittent resistance trainings might cause increase in hematuria, tubular and glomerular proteinuria. However, proteinuria of the present study was lower than nephrotic domain. Hence, intermittent resistance trainings couldn’t limit activity and it’s different from pathologic conditions.
Microsatellite Instability in Tumor and Nonneoplastic Colorectal Cells from Hereditary Non-Polyposis Colorectal Cancer and Sporadic High Microsatellite-Instable Tumor Patients

Genetic alterations such as loss of heterozygosity (LOH) and microsatellite instability (MSI) have been frequently studied in various tumor types. Genetic heterogeneity of nonneoplastic cells has not yet been sufficiently investigated. However, genomic instability in normal cells could be a potentially important issue, in particular when these cells are used as reference in LOH and MSI analyses of tumor samples. In order to investigate possible genetic abnormalities in normal colorectal cells of tumor patients, MSI analyses of normal colonic mucosa were performed. Up to 15 different laser-microdissected normal regions containing 50–150 cells were investigated in each of 15 individual microsatellite-stable, sporadic high microsatellite-instable (MSI-H) and hereditary non-polyposis coli cancer (HNPCC) colorectal cancer patients. Frequent MSI and heterogeneity in the MSI pattern were found both in normal and tumor cells from 10 HNPCC and sporadic MSI-H tumor patients whose tumors had defect mismatch repair protein expressions. This observation shows that MSI can also occur in nonneoplastic cells which has to be considered in MSI analyses for molecular HNPCC screening. In addition, considerable genetic heterogeneity was detected in all MSI-H (sporadic and HNPCC) tumors when analyzing five different regions with less than 150 cells, respectively. These differences were not detectable in larger tumor regions containing about 10,000 cells. Thus, heterogeneity of the MSI pattern (e.g. intratumoral MSI) is an important feature of tumors with the MSI-H phenotype.
An Efficient Numerical Resolution for MRI Rician Denoising

We consider a variational Rician denoising model for Magnetic Resonance Images (MRI) that we solve by a semi-implicit numerical scheme, which leads to the resolution of a sequence of Rudin, Osher and Fatemi (ROF) models. This allows to implement efficient numerical gradient descent schemes based on the dual formulation of the ROF model which are compared with a direct semi-implicit approach for the primal problem recently proposed for model validation. In this new framework the total variation operator is exactly solved as opposed to the approximating problems which must be considered when the primal problem is dealt with. The comparison among the above methods is performed using synthetic and real MR brain images and the results show the effectiveness of the new method in both, the accuracy and the speeding up of the algorithm.
Exponential functionals of Brownian motion, II: Some related diffusion processes

This is the second part of our survey on exponential functionals of Brownian motion. We focus on the applications of the results about the distributions of the exponential functionals, which have been discussed in the rst part. Pricing formula for call options for the Asian options, explicit expressions for the heat kernels on hyperbolic spaces, diusion processes in random environments and extensions of L evy's and Pitman's theorems are discussed. AMS 2000 subject classications: Primary 60J65; secondary 60J60,
Posatirelin for the treatment of late‐onset Alzheimer's disease: a double‐blind multicentre study vs citicoline and ascorbic acid

Introduction ‐ Posatirelin (L‐pyro‐2–aminoadipyl‐L‐leucil‐L‐prolinamide) a new synthetic tripeptide with cholinergic, catecholaminergic and neurotrophic properties, was investigated in the treatment of Alzheimer's disease. Material and methods ‐ A multicentre, double‐blind study vs citicoline (reference drug) and ascorbic acid (inactive drug) was carried out in elderly patients suffering from late‐onset Alzheimer's disease. The once daily intramuscular treatment lasted for three months followed by one‐month oral treatment with a placebo. Subscales and factors of GBS (Gottfries‐Bråne‐Steen) Rating Scale were identified as primary measures for efficacy assessment. Results ‐ At the end of the treatment, GBS subscale and factor scores assessing intellectual and emotional impairments, orientation and memory, ability to perform activities of daily living, depression‐anxiety, attention and motivation were improved in the posatirelin group, showing significant differences with respect to the citicoline and/or ascorbic acid groups. Tolerability was good in all groups. Conclusions ‐ The improvement in the GBS Rating Scale scores observed in the posatirelin group is clinically relevant. It is worth verifying the drug‐induced functional improvements, in further studies with large samples.
Can Fuzzy Relational Calculus Bring Complex Issues in Selection of Examiners into Focus?

Abstract The examinee and the examiner play pivotal roles in the educational grading system. Students’ academic performance evaluation by multiple experts involves epistemic uncertainty, which can be modeled using a fuzzy set theory. How many evaluators/experts are almost similar in their perceptual subjective evaluation of the students answer paper? In other words, how many experts are reliable for a particular evaluation task with a defined possibility level? In this paper, the focus is on object’s features (students’ marks) as a basis in the subjective evaluation process to identify the degree of similarity among the domain experts. The case study reveals that 11 out of 20 evaluators are similar in their decision making of students’ academic performance with possibility (α-level cut, 0.98). The inter-rater reliability (κ-coefficient) among the selected 11 teachers is 0.41, which signifies a fair/moderate agreement in the evaluation process. This paper proposes an approach that is useful for the selection of experts having similar perceptions in judgment. This paper demonstrates a case study showing how it is useful to educational policy makers in the selection of examiners.
An Analysis of Classification of Imbalanced Datasets by Using Synthetic Minority Over-Sampling Technique

Abstract—Analysing unbalanced datasets is one of the challenges that practitioners in machine learning field face. However, many researches have been carried out to determine the effectiveness of the use of the synthetic minority over-sampling technique (SMOTE) to address this issue. The aim of this study was therefore to compare the effectiveness of the SMOTE over different models on unbalanced datasets. Three classification models (Logistic Regression, Support Vector Machine and Nearest Neighbour) were tested with multiple datasets, then the same datasets were oversampled by using SMOTE and applied again to the three models to compare the differences in the performances. Results of experiments show that the highest number of nearest neighbours gives lower values of error rates.
Contribuição do estudo fitoquímico dos extratos de Solanum melongena (Berinjela)

Resumo: Solanum melongena, conhecida popularmente como berinjela, e uma hortalica nativa da India, pertencente da familia solanaceae . Esta especie e cultivada ha seculos no mundo e foi introduzida no Brasil pelos portugueses. Ela tem origem vegetal, contendo varios tipos desse fruto o qual pode ser diferenciado pelas suas diversas cores, com baixo valor calorico e de uso medicinal. Com grandes propriedades medicinais pode ser usado em varias doencas tais como reducao das taxas de gorduras e de colesterol no sangue, em tratamentos de asma, diabete, colera, bronquite entre outras. O presente trabalho teve como objetivo realizar o estudo fitoquimico de Solanum melongena a partir do extrato de eter de petroleo e etanolico das folhas, fruto e cascas. Com os extratos foram feitos os testes fitoquimicos, como fenois e taninos, flavonoides, esteroides e triterpenos (teste de Liberman-Buchard), catequinas e flavonas, flavonois e xantonas, e saponinas. Atraves dos testes foi identificado a presenca de flavonas, flavonois, xantonas, esteroides livres e saponinas.
Um mecanismo cognitivo para adaptação automática da taxa de transmissão em redes IEEE 802.11

A utilizacao das redes sem fio vem se tornando cada vez mais frequente, e o IEEE 802.11 e o padrao escolhido pela maioria dos dispositivos. Com o objetivo de adaptar-se as condicoes instaveis dos canais de transmissao sem fio, este padrao especifica diversos esquemas de codificacao e modulacao de dados que devem ser, obrigatoriamente, implementados pelas interfaces sem fio. Como consequencia, essas interfaces passam a suportar multiplas taxas de transmissao, definidas em funcao da combinacao entre a codificacao e a modulacao utilizada. Entretanto, nao faz parte da especificacao o processo para a escolha dinâmica de qual taxa de transmissao utilizar, deixando livre para os fabricantes a definicao de um algoritmo para solucionar este problema, conhecido por adaptacao automatica da taxa de transmissao. Apesar de diversas solucoes terem sido propostas na literatura, o desempenho alcancado por elas esta limitado por fatores como a dificuldade na estimativa da qualidade do canal e o compartilhamento injusto dos recursos entre as estacoes da rede. Para lidar com estes desafios, este trabalho apresenta um mecanismo cognitivo para adaptacao automatica da taxa de transmissao denominado Cognitive Rate Adaptation (CORA). Este e um mecanismo completamente distribuido, capaz de equipar as estacoes da rede com as funcionalidades de autoconfiguracao e auto-otimizacao da taxa de transmissao. O CORA e capaz de reagir rapidamente as mudancas nas condicoes do canal para evitar a degradacao do desempenho, alem de convergir para a melhor taxa de transmissao durante os periodos de estabilidade. Para isso, o mecanismo utiliza uma abordagem simplista para avaliar a qualidade do canal sem fio, alem de apresentar caracteristicas especificas que contribuem com a justica no compartilhamento dos recursos entre as estacoes. O mecanismo proposto e avaliado atraves de simulacoes, e os resultados sao comparados com algumas solucoes existentes na literatura e tambem com algoritmos utilizados nos dispositivos comerciais. Os resultados obtidos confirmam o bom desempenho do mecanismo proposto em relacao aos demais algoritmos avaliados Abstract
Determinación de parámetros de la transfomada Wavelet para la clasificación de señales del diagnóstico scattering Thomson

En el proceso de clasificacion de senales existen dos grandes fases a implementar: la primera consiste en realizar un procesamiento de las senales, para extraer las caracteristicas diferenciadoras atenuando el ruido presente, y la segunda etapa realiza la clasificacion de las senales a partir de las caracteristicas obtenidas. El presente trabajo, situado en un contexto de senales especifico, analiza los efectos que tiene la aplicacion de la Transformada Wavelet como herramienta de procesamiento de senales en el rendimiento de la clasificacion. Ademas se determinan los parametros de la Transformada Wavelet que presentan los mejores resultados para el ambito del problema.
Conditional Density Growth (CDG) model: a simplified model of RRT coverage for kinematic systems

SUMMARY It has been shown before that the Rapidly Exploring Random Tree (RRT) algorithm is probabilistically and resolution complete; and that the probability of finding a particular solution path can be related to the number of nodes. However, little analysis exists on the rate at which the tree covers the configuration space. In this paper, we present a stochastic difference equation which models how the tree covers the configuration space as a function of the number of nodes in the tree. Using two simplifying assumptions, appropriate for holonomic, kinematic systems in expansive configuration spaces, we derive closed-form solutions for the expected value and variance of configuration space coverage, which only depend on two easily computable parameters. Using a grid-based coverage measurement, we present experimental evidence supporting this model across a range of dimensions, obstacle densities, and parameter choices. Collecting data from 1000 RRTs, we provide evidence that configuration space coverage concentrates tightly around the expected coverage predicted by the model; and the results of the Chi-squared test suggest that the distribution of coverage across these runs is highly Gaussian. Together these results enable one to predict the expected coverage, along with a confidence interval, after a certain number of nodes have been added to the tree. We also applied the model to an example with extremely narrow passages and to a system with non-holonomic kinematics. The expected value prediction is still qualitatively accurate; but the rate constant is reduced and the variance is higher. Overall, in addition to its theoretical value, the model may find future application as an online measure of search-progress and problem difficulty, useful for adaptive variants of the basic RRT algorithm.
Uma Abordagem Interdisciplinar do Entretenimento Digital

Resumo: Nesta comunicacao vamos trabalhar ideias de modo interdisciplinar para desenvolver um pensamento que permita a curto prazo servir de base a criacao de um grupo de trabalho na area especifica do Entretenimento Digital (videojogos, jogos digitais, electronicos e de computador). Tendo em conta a complexidade desta area derivada da sua interdisciplinaridade que une fortemente as ciencias humanas as ciencias da computacao vamos apresentar nao apenas um quadro de trabalho que possibilite a analise e estudo de artefactos existentes mas que crie tambem uma base metodologica que promova o design e desenvolvimento de novos artefactos.
Sélection de modèles à l'aide des chemins de régularisation pour l'objectivation mono et multi-prestations. Application à l'agrément de conduite

La these, menee en convention CIFRE avec RENAULT, traite de l'objectivation des prestations. Dans le domaine de l'automobile, on appelle « prestation » ce sur quoi le client s'exprime subjectivement. Le but de la methodologie est de determiner quelles sont les variables physiques qui expliquent cette reponse subjective. Dans ce contexte de selection de variables, nous avons propose une methode inspiree des recents travaux autour de la methode populaire du Lasso. Le Lasso est le nom donne au probleme d'estimation des moindres carres dans leur version penalisee L1 (ajout d'une constante fois la norme L1 des coefficients). Nous avons developpe un algorithme de calcul de ce chemin dans le cas de la regression logistique avec penalisation L1. Au lieu de repondre au probleme (difficile et non resolu) du choix de la constante de regularisation, on propose de construire a partir du chemin de regularisation une suite croissante de modeles et ensuite de selectionner le meilleur modele via le critere BIC. On a remarque que la lecture du chemin de regularisation interesse en lui-meme les ingenieurs metier. C'est pourquoi on se propose egalement d'etudier le comportement asymptotique du chemin en tant que fonction de la « constante » de regularisation. Cet outil de construction du chemin et selection via critere BIC a par ailleurs ete implemente et est utilise en interne chez RENAULT. Une autre attente de RENAULT est de pouvoir traiter le cas ou il n'y a plus une reponse subjective mais plusieurs reponses a analyser simultanement : c'est le cas de la multi-prestations. On se propose donc egalement d'adapter l'outil que nous avons developpe pour pouvoir repondre a cette problematique.