Miracle-dz/UniFAR-FTUs huggingface dataset:
Uso del conocimiento científico de estudiantes de pregrado de educación diferencial

espanolLos objetivos del estudio fueron describir el conocimiento cientifico de estudiantes de pregrado de Educacion Diferencial y compararlos con otros estudios nacionales. Se estudio a 79 estudiantes de Educacion Diferencial de una Universidad de Santiago (Chile). Fueron seleccionados de forma no probabilistica (intencionada) 79 (02 hombres y 77 mujeres) estudiantes de pre grado de ingreso ano 2017 de la carrera de Educacion Diferencial de la Universidad Catolica Silva Henriquez (UCSH) de Santiago de Chile. El rango de edad oscila entre 17 a 27 anos. Se utilizo la tecnica de la encuesta y el instrumento utilizado fue un cuestionario del uso del conocimiento cientifico. Los resultados indican que el uso del conocimiento cientifico de los alumnos que estudian Educacion Diferencial es similar en relacion a sus contrapartes de otra universidad. Ademas, los niveles alcanzados en la busqueda de informacion, la transferencia del conocimiento y la contribucion al conocimiento en relacion a otras carreras profesionales de ciencias de la educacion, tambien son similares. Los resultados sugieren insentivar con mayor profundidad las habilidades y actitudes investigativas desde los niveles iniciales en los estudiante de Educacion Diferencial, para que en el futuro puedan desempenarse con exito en sus actividades profesionales. EnglishThe objectives of the study were to describe the scientific knowledge of undergraduate students of differential education and to compare with other national studies. We studied 79 students of differential education from a University of Santiago (Chile). Seventy-nine (02 male and 77 female) undergraduate students were selected in a non-probabilistic (intentional) manner in 2017 of the differential education ca- reer at the Universidad Catolica Silva Henriquez (UCSH) in Santiago, Chile. The age range ranges from 17 to 27 years. The technique of the survey was used and the instrument used was a questionnaire of the use of scientific knowledge. The results indicate that the use of scientific knowledge of students studying differential education is similar in relation to their counterparts from another university. In addition, the levels reached in the search of information, the transfer of knowledge and the contribution to the knowledge in relation to other professional careers of education sciences are also similar. The results suggest more deeply insightful research skills and attitudes from the initial levels in differential education students, so that in the future they can perform successfully in their professional activities.
Soy diets containing varying amounts of genistein stimulate growth of estrogen-dependent (MCF-7) tumors in a dose-dependent manner.

We have demonstrated that the isoflavone, genistein, stimulates growth of estrogen-dependent human breast cancer (MCF-7) cells in vivo (C. Y. Hsieh et al., Cancer Res., 58: 3833-3838, 1998). The isoflavones are a group of phytoestrogens that are present in high concentrations in soy. Whether consumption of genistein from soy protein will have similar effects on estrogen-dependent tumor growth as pure genistein has not been investigated in the athymic mouse tumor implant model. Depending on processing, soy protein isolates vary widely in concentrations of genistein. We hypothesize that soy isolates containing different concentrations of genistein will stimulate the growth of estrogen-dependent cells in vivo in a dose-dependent manner. To test this hypothesis we conducted experiments in which these soy protein isolates were fed to athymic mice implanted s.c. with estrogen-dependent tumors. Genistein content (aglycone equivalent) of the soy isolate diets were 15, 150, or 300 ppm. Positive (with 17beta-estradiol pellet implant) and negative (no 17beta-estradiol) control groups received casein-based (isoflavone-free) diets. Tumor size was measured weekly. At completion of the study animals were killed and tumors collected for evaluation of cellular proliferation and estrogen-dependent gene expression. Incorporation of bromodeoxyuridine into cellular DNA was used as an indicator of cell proliferation, and pS2 mRNA was used as an estrogen-responsive gene. Soy protein diets containing varying amounts of genistein increased estrogen-dependent tumor growth in a dose-dependent manner. Cell proliferation was greatest in tumors of animals given estrogen or dietary genistein (150 and 300 ppm). Expression of pS2 was increased in tumors from animals consuming dietary genistein (150 and 300 ppm). Here we present new information that soy protein isolates containing increasing concentrations of genistein stimulate the growth of estrogen-dependent breast cancer cells in vivo in a dose-dependent manner.
Are visual dictionaries generalizable?

Mid-level features based on visual dictionaries are today a cornerstone of systems for classification and retrieval of images. Those state-of-the-art representations depend crucially on the choice of a codebook (visual dictionary), which is usually derived from the dataset. In general-purpose, dynamic image collections (e.g., the Web), one cannot have the entire collection in order to extract a representative dictionary. However, based on the hypothesis that the dictionary reflects only the diversity of low-level appearances and does not capture semantics, we argue that a dictionary based on a small subset of the data, or even on an entirely different dataset, is able to produce a good representation, provided that the chosen images span a diverse enough portion of the low-level feature space. Our experiments confirm that hypothesis, opening the opportunity to greatly alleviate the burden in generating the codebook, and confirming the feasibility of employing visual dictionaries in large-scale dynamic environments.
The Mite VM : bridging the complexity gulf

Stand-alone VMs are increasingly used as platforms for code generation and execution. The most popular, such as the JVM, are functionally complex and rich, and tend to force their world view on the code they execute. At the other end of the scale is Machine Forth, whose design is so simple as to be impoverished, and which lacks several features necessary for efficient portable code. Mite attempts to bridge this gulf, being simple yet sufficient for the task of portable code generation and execution. It also attempts to bridge the cultural divide which separates the abovementioned systems, by being on the one hand familiar in design and compatible with conventional ideas on code generation and execution, and on the other hand giving users a considerable degree of freedom in its use and integration with other systems.
Controlling a power assist robot for lifting objects considering human's unimanual, bimanual and cooperative weight perception

We developed a 1 DOF power assist robot for lifting objects. We hypothesized that human's perception of weight due to inertial force might be different from the perceived weight due to gravitational force for lifting an object with a power assist robot. We established psychophysical relationships between the actual weights and the power-assisted weights for the objects lifted with the robot, and also determined the excess in load forces that the subjects applied for three independent lifting schemes or grasp configurations: (i) unimanual lift, (ii) bimanual lift, and (iii) cooperative lift. We also compared the weight perceptual and load force features for the unimanual lifts to that for the bimanual and cooperative lifts. We then modified the power-assist control using a novel control strategy based on the weight perceptual and load force features. The control modification reduced the excessive load forces applied by the subjects in each lifting scheme and thus enhanced maneuverability, naturalness, ease of use, stability, safety etc. of the robot system significantly. Finally, we proposed using the findings to design human-friendly power assist robots for carrying heavy objects in various industries.
Identifying Evidence-Based Practices for Behavior: Analysis of Studies Reviewed by the What Works Clearinghouse

ABSTRACT Prior concerns have been raised about the ability of schools to access evidence-based practices, however, these practices are instrumental for addressing behavior concerns. This is particularly true at the secondary level, where students are more likely to be disproportionately identified for school removal. This review investigates studies of behavior intervention programs reviewed by the What Works Clearinghouse (WWC), founded by the US Department of Education's Institute of Education Sciences. Three studies meet the WWC evidence standards for middle or high school students. The limited number of studies meeting evidence standards and the demographic samples of those studies meeting evidence standards lowers access to robust practice.
Facilitating Knowledge Sharing With Groupware among Faculty Communities in Higher Learning Institution

Knowledge is power. Most of the organizations today are looking on this matter as a very important issue and try to search the best way to manage or organize this knowledge for sustain a high rate of continuous improvement. While Knowledge management system (KMS) is a system that related to the process of knowledge capture, re-use, searching and representation to the people in a variety of form. This role of KMS could be determined by looking on the issues of the right knowledge could be disseminated to the right people at the right time in the faster ways that based on the simplest command or agent given to the system in order to getting the relevant knowledge. Besides that, KMS also could be looking on how the knowledge could be shared by using the facilitation of groupware for the benefits of faculty communities in higher learning institution (HLI) in order to promote knowledge sharing, stored and captured as well as presenting the knowledge. This paper also will examine the concept and approach of KMS implementation in faculties of HLI and discusses a variety issues that related to its involvement, so that it will help organizations to increase productivity and quality as well as to gain return on investment (ROI).
The Composition of Microbiome in Larynx and the Throat Biodiversity between Laryngeal Squamous Cell Carcinoma Patients and Control Population

The throat is an ecological assemblage involved human cells and microbiota, and the colonizing bacteria are important factors in balancing this environment. However, this bacterial community profile has thus been poorly investigated. The purpose of this study was to investigate the microbial biology of the larynx and to analyze the throat biodiversity in laryngeal carcinoma patients compared to a control population in a case-control study. Barcoded pyrosequencing analysis of the 16S rRNA gene was used. We collected tissue samples from 29 patients with laryngeal carcinoma and 31 control patients with vocal cord polyps. The findings of high-quality sequence datasets revealed 218 genera from 13 phyla in the laryngeal mucosa. The predominant communities of phyla in the larynx were Firmicutes (54%), Fusobacteria (17%), Bacteroidetes (15%), Proteobacteria (11%), and Actinobacteria (3%). The leading genera were Streptococcus (36%), Fusobacterium (15%), Prevotella (12%), Neisseria (6%), and Gemella (4%). The throat bacterial compositions were highly different between laryngeal carcinoma subjects and control population (p = 0.006). The abundance of the 26 genera was significantly different between the laryngeal cancer and control groups by metastats analysis (p<0.05). Fifteen genera may be associated with laryngeal carcinoma by partial least squares discriminant analysis (p<0.001). In summary, this study revealed the microbiota profiles in laryngeal mucosa from tissue specimens. The compositions of bacteria community in throat were different between laryngeal cancer patients and controls, and probably were related with this carcinoma. The disruption of this bio-ecological niche might be a risk factor for laryngeal carcinoma.
A Deployment Tool for Public Safety Ad-hoc Networks

Public protection and disaster relief is a promising application area for ad-hoc networks. We propose architecture and show a prototype implementation of an application for helping network deployment on the scene. The application has a graphical interface showing network status and proposing actions for additional measures to ensure the uninterrupted and reliable operation of the network. The tool is designed for a user with no experience of network planning
A swarm based approach for task allocation in dynamic agents organizations

One of the well-studied issues in multi-agent systems is the standard action-selection and sequencing problem where a goal task can be performed in different ways, by different agents.Tasks have constraints while agents have different characteristics such as capacity, access to resources, motivations, etc. This class of problems has been tackled under different approaches. Moreover, in open, dynamic environments, agents must be able to adapt to the changing organizational goals, available resources, their relationships to another agents, and so on. This problem is a key one in multi-agent systems and relates to models of learning and adaptation, such as those observed among social insects. The present paper tackles the process of generating, adapting, and changing multiagent organization dynamically at system runtime, using a swarm inspired approach. This approach is used here mainly for task allocation with low need of pre-planning and specification, and no need of explicit coordination. The results of our approach and another quantitative one are compared here and it is shown that in dynamic domains, the agents adapt to changes in the organization, just as social insects do.
Estimation-based control law for appproximating Takagi-Sugeno-based controller

This paper aims to manage the problem of matrix inversion in advanced Takagi-Sugeno-based controllers such as most of the non-Parallel Distributed Compensation. These controllers are difficult to use in embedded computers that have limited performances due to technologic resources. The originality of the proposed method is to use an observer written under the descriptor form for approximating the fuzzy matrix inversion. Thanks to such an observer, the advanced controller can be approximated in both steady and transient phases. Consequently, an Estimation-based Control Law for Approximating Takagi-Sugeno-based (ECLATS) controller is developed using Lyapunov stability analysis and Linear Matrix Inequalities formulation. This ECLATS controller can provide similar performances than the advanced fuzzy ones, but without any matrix inversion. Numerical examples prove the efficiency of the estimation by comparison.
Inhibition of thymidine phosphorylation and DNA and histone synthesis in Ehrlich ascites carcinoma.

Summary The time course of phosphorylation of thymidine and the effects of various inhibitors on the phosphorylation of thymidine and on DNA synthesis in Ehrlich ascites carcinoma cells in vitro were studied with a double-isotope labeling method. Hydroxyurea, mitomycin C, cycloheximide, puromycin, 1-β-d-arabinofuranosylcytosine, 5-fluoroorotic aldehyde, and the thiosemicarbazones of 2-phthalimido aliphatic aldehydes inhibit incorporation of thymidine-2- 14 C into DNA and produce an accumulation of label in thymidine 5′-triphosphate in Ehrlich ascites carcinoma cells in vitro . A concentration (0.01 mm) of 1-β-d-arabinofuranosyl-cytosine that inhibits incorporation of thymidine into DNA by 75% also depresses incorporation of labeled glycine into slightly lysine-rich histones (70%), lysine-rich histones (30%), and arginine-rich histones (20%); incorporation of labeled glycine into total cytoplasmic proteins is not inhibited by this concentration of 1-β-d-arabinofuranosylcytosine in short-term experiments.
Orientation de soi à l'adolescence : ses relations avec l'estime de soi et la compétence sociale

Cette recherche met en evidence les rapports entre les processus de personnalisation et l'elaboration du projet chez l'adolescents. Partant d'une conception de la personnalite comme systeme organise, nous exposons un modele de la dynamique personnelle lie a la theorie de l'interstructuration du sujet et des institutions. Nous avons choisi de nous interesser tout particulierement a la question de la realisation dans le projet, tout en nous centrant sur l'etude de deux point d'encrage de la personnalite, a savoir l'identite (dans son aspect valorisation de soi) et la competence sociale. L'identite est ici concue comme un sous-systeme de la personnalite qui intervient , tout au long de l'existence, dans la gestion du developpement de la personne. Pour definir la competence sociale, nous nous referons a un modele de resolution de problemes interpersonnels. L'etude a ete realisee aupres d'adolescents ages de quatorze a seize ans. Nous avons utilise pour le recueil des donnees : une echelle d'estime de soi, une epreuve de competence sociale, une epreuve de mise en evidence des strategies de projet et un questionnaire permettant d'apprehender l'extension des perspectives temporelles, les references aux ages de la vie et les projets. L'analyse des resultats montre qu'un niveau eleve d'estime de soi est lie a un rapport au temps meilleur (projets plus elabores et plus investis, perspectives plus etendues) et qu'un niveau eleve de competence sociale oriente le choix de strategies de projet restructurantes.
1 Taking stock of a global shock : the nature and extent of the crisis

The world is experiencing a dramatic rise in food prices. The upturn began gradually in 2006 and has now escalated into a massive surge of food price inflation around the world. It has caused hunger, protests, riots and even fears for international security. Low-income, fooddeficit countries have been hardest-hit, but the problem is global. Reports of the impact of high food prices on the poor across many developing countries have led to calls for international action to reverse the slide towards increased poverty and malnutrition. Aid agencies have encountered difficulties in meeting the higher costs of purchasing food for distribution and have appealed for additional funds.
ASCA Observations of Three Shakhbazyan's Compact Groups of Galaxies

X-ray observations of three Shakhbazyan's Compact Groups of Galaxies are presented for the first time. Extended X-ray emission was detected from SCGG 202 and SCGG 223 with 0.5-2 keV luminosity of 1 x 10 42 erg s _1 and 3 x 1042 erg s _1 (for HQ = 75 km s _1 Mpc -1 ), respectively, while no significant emission was detected from SCGG 205 with an upper limit of 0.7 x 10 42 erg s _1 . The X-ray spectra of SCGG 202 and SCGG 223 can be described with thin-thermal plasma emission with a temperature of about 1 keV. The X-ray properties of SCGG 202 and SCGG 223 are in good agreement with those of other known groups of galaxies, proving the physical nature of their grouping.
Landmark navigation in low illumination using omnidirectional camera

Landmark based vision navigation for mobile robot is critically dependent on successful recognition of landmarks. Landmarks, artificial or natural, are subjected to sufficient illumination in order for a successful recognition. Sufficient illumination is even more critical when the mobile robot is used for indoor. In this paper, experiments were conducted to recognize artificial landmarks using omnidirectional vision under low illumination. The objective of this paper is to demonstrate that landmark navigation in low illumination can be conducted without illumination invariance step and without images distortion correction. This landmark recognition performance thus demonstrates the robustness of landmarks especially under low light condition. The landmarks used were standard (ISO15417) Code-128 barcodes. The barcodes are placed besides turning machine and the illuminance is measured by a luxmeter on each barcode.
RIMS-1807 Anomalous random walks and diffusions : From fractals to random media By

We present results concerning the behavior of random walks and di↵usions on disordered media. Examples treated include fractals and various models of random graphs, such as percolation clusters, trees generated by branching processes, Erdős-Rényi random graphs and uniform spanning trees. As a consequence of the inhomogeneity of the underlying spaces, we observe anomalous behavior of the corresponding random walks and di↵usions. In this regard, our main interests are in estimating the long time behavior of the heat kernel and in obtaining a scaling limit of the random walk. We will overview the research in these areas chronologically, and describe how the techniques have developed from those introduced for exactly self-similar fractals to the more robust arguments required for random graphs. Mathematics Subject Classification (2010). Primary 60J45; Secondary 05C81, 60K37.
Complementary strategy of New Physics searches in B-sector

We discuss a strategy for NP searches at LHC based on comparison of particular CKM matrix elements, which can be obtained from the processes of different topology. This analysis is complementary to the standard formalism of the unitarity triangle. We stress the utmost importance of lattice computations of some particular set of hadronic inputs (relevant for NP searches) with respect to others that provide no essential information about possible NP effects.
Simulation of 5 kw / 20 khz Soft Switched DC-DC Converter

This paper presents the design and simulation of a Full Bridge Soft Switched DC-DC Converter, working with an internal frequency of 20khz with an output power of 5kw. Since the ZVS range is independent of the switch capacitance, IGBT’S are used by adding the external capacitors to the switches without increasing the switching losses. However, it is not easy to design a hard-switched converter structure using these devices to operate at such high switching frequencies and voltages. Soft-switching strategies offer an attractive alternative, but converter design using these strategies is still quite challenging. Design details, theoretical predictions, and experimental results are presented in this paper for the conversion system that was developed.
Language modeling for automatic turkish broadcast news transcription

The aim of this study is to develop a speech recognition system for Turkish broadcast news. State-of-the-art speech recognition systems utilize statistical models. A large amount of data is required to reliably estimate these models. For this study, a large Turkish Broadcast News database, consisting of the speech signal and corresponding transcriptions, is being collected. In this paper, information about this database and experiments performed using the system developed on the collected data are presented. In addition to the baseline system, various sub-word language models are investigated. Lexical stem-endings are proposed as a novel unit for language modeling and are shown to perform better than surface stem-endings and morphs. Currently, our best systems have lower than 20% error on clean speech.