Miracle-dz/UniFAR-FTUs huggingface dataset:
Entrepreneurial Attitudes and Entrepreneurial Intentions: A Cross-Culturals Study of Potential Entrepreneurs in India, China, Thailand and Australia

The intention of an individual to behave entrepreneurially arises because the entrepreneur perceives self-employment (or entrepreneurial behaviour within an organization) to be utility-maximizing, and thus forms the motivation to behave entrepreneurially. As argued elsewhere, the intention to behave entrepreneurially depends on the human capital of the individual. Here we argue that human capital includes not only personal abilities and social capital but also innate attitudes to aspects of entrepreneurship, such as independence, firm ownership and risk. Thus the motive for pursuing self employment (or any other entrepreneurial behaviour) is considered as a function of an individual’s abilities and attitudes. This study investigated the relationship between entrepreneurial attitudes and abilities and entrepreneurial intentions across four countries, viz: India, China, Thailand and Australia. We find that entrepreneurial attitudes are significant in explaining career decisions in all four countries with some variation in the relative importance of each of these attitudes. We also find cross-cultural differences in the degree to which entrepreneurial attitudes explain entrepreneurial intentions.
TRILINGUAL LEARNING MODEL THROUGH TRADITIONAL GAMES: AN OVERVIEW FROM AN INDONESIAN KINDERGARTEN

This study proposes the application of trilingual learning model that employs Sundanese traditional playing as the learning strategy. This article is a part of a bigger ongoing research project investigating the establishment of trilingual learning model in kindergarten. It focuses on the development of lesson plans for the application of the teaching and learning using three languages, namely; Sundanese, Indonesian and English. Qualitative method is employed as the research method. The subjects of the study are three teachers who are fresh graduates from Study Program of Early Childhood Education Teacher (henceforth, PGPAUD) Universitas Pendidikan Indonesia (UPI) Kampus Cibiru. Those teachers are asked to apply this learning model to Kindergarten children in one of Indonesian kindergarten in Bandung. The result of the study suggests that there are three stages in trilingual lesson plan development. The stages are: 1) determining indicators of developmental aspects based on 2013 Indonesian Early Childhood Education (ECE) curriculum, 2) modifying Sundanese traditional playing to be applicable for kindergarten children and designing the applicability of those playing to be implemented in trilingual, 3) designing trilingual learning media and 4) designing the assessment process to observe children’s developmental aspects.
Escribiendo Para Desahogarme: Release and Resistance in a Middle School Bilingual Writing Workshop

iv Dedication . v Acknowledgements . vi Figures . xii Appendices . xiv Chapter 1: Introduction 1.1 Mi historia/ My Story . 1 1.2 Statement of the Problem . 5 1.3 The Origins of My Research Project & Research Questions . 10 Chapter 2: Theoretical Framework & Review of the Literature 2.
An XML-to-Relational User-Driven Mapping Strategy Based on Similarity and Adaptivity

As XML has become a standard for data representation, it is inevitable to propose and implement techniques for efficient managing of XML data. A natural alternative is to exploit features and functions of (object-)relational database systems, i.e. to rely on their long theoretical and practical history. The main concern of such techniques is the choice of an appropriate XML-to-relational mapping strategy. In this paper we focus on enhancing of userdriven techniques which leave the mapping decisions in hands of users. We propose an algorithm which exploits the user-given annotations more deeply searching the user-specified “hints” in the rest of the schema and applies an adaptive method on the remaining schema fragments. We describe the algorithm theoretically, discussing the key ideas of the approach, chosen solutions, their reasons, and consequences. Finally, we overview the open issues related to implementation of the proposed algorithm and its experimental testing on real XML data.
PROPIEDADES PSICOMÉTRICAS DE LA ESCALA DE MOTIVACIÓN DEPORTIVA EN DEPORTISTAS ESPAÑOLES PSYCHOMETRIC PROPERTIES OF THE SPORTS MOTIVATION SCALE IN SPANISH ATHLETES

The psychometric properties (factorial validity, reli- ability, and construct validity) of the Spanish version of the Sports Motivation Scale (SMS; Pelletier et al., 1995) were stud- ied in a sample of 301 Spanish athletes. The hypothesized 7- factor structure of the Spanish version of the SMS was confirmed and all subscales demonstrated satisfactory internal reliability. Support for 5- and 3-factor structures was also obtained. Inter- correlations between subscales revealed a simplex pattern, pro- viding evidence for the self-determination continuum and the construct validity of the Spanish SMS. Gender differences in sport motivation emerged with female athletes showing lower levels of external regulation and lower non-motivation.
Role of Areca Nut Induced TGF-β and Epithelial-Mesenchymal Interaction in the Pathogenesis of Oral Submucous Fibrosis

Areca nut consumption has been implicated in the progression of Oral Submucous fibrosis (OSF); an inflammatory precancerous fibrotic condition. Our previous studies have demonstrated the activation of TGF-β signaling in epithelial cells by areca nut components and also propose a role for epithelial expressed TGF-β in the pathogenesis of OSF. Although the importance of epithelial cells in the manifestation of OSF has been proposed, the actual effectors are fibroblast cells. However, the role of areca nut and TGF-β in the context of fibroblast response has not been elucidated. Therefore, to understand their role in the context of fibroblast response in OSF pathogenesis, human gingival fibroblasts (hGF) were treated with areca nut and/or TGF-β followed by transcriptome profiling. The gene expression profile obtained was compared with the previously published transcriptome profiles of OSF tissues and areca nut treated epithelial cells. The analysis revealed regulation of 4666 and 1214 genes by areca nut and TGF-β treatment respectively. The expression of 413 genes in hGF cells was potentiated by areca nut and TGF-β together. Further, the differentially expressed genes of OSF tissues compared to normal tissues overlapped significantly with areca nut and TGF-β induced genes in epithelial and hGF cells. Several positively enriched pathways were found to be common between OSF tissues and areca nut +TGF-β treated hGF cells. In concordance, areca nut along with TGF-β enhanced fibroblast activation as demonstrated by potentiation of αSMA, γSMA and collagen gel contraction by hGF cells. Furthermore, TGF-β secreted by areca nut treated epithelial cells influenced fibroblast activation and other genes implicated in fibrosis. These data establish a role for areca nut influenced epithelial cells in OSF progression by activation of fibroblasts and emphasizes the importance of epithelial-mesenchymal interaction in OSF.
Conhecimento de mundo por meio da leitura digital: um estudo com universitários

Na sociedade contemporânea, as praticas humanas estao relacionadas as Tecnologias da Informacao e Comunicacao (TIC), isto e, estamos vivendo a cibercultura. A educacao formal nao esta isolada do movimento e das transformacoes ocasionadas pelo acesso e utilizacao das TIC. Os estudantes do Ensino Superior utilizam os celulares e notebooks na universidade continuamente, tanto para exigencias academicas quanto para comunicacao e entretenimento. Diante desse contexto, o presente estudo teve como objetivo principal analisar qual conhecimento de mundo a leitura na internet proporciona aos universitarios, uma vez que o ato de ler supera o mero habito da leitura ou decodificacao de palavras, pois, enquanto necessidade humanizadora, permite aos leitores se apropriar da cultura e ter um conhecimento de mundo de modo cientifico. Como procedimento investigativo foi aplicado um questionario semiestruturado de seis questoes com dez estudantes de diferentes cursos de uma universidade privada na regiao Sul do Brasil. O tratamento dos dados foi qualitativo, baseado na abordagem critico-dialetica. Os resultados coincidiram com uma pesquisa de nivel nacional, a qual aponta leituras digitais de formas e conteudos variados, com enfase em redes sociais e sites de noticias, e pouco destaque para livros e jornais. A leitura de material academico foi expressa por 100% dos estudantes, no entanto, sobre o conhecimento de mundo propiciado pelas leituras no suporte tela, as respostas se reduziram as atualizacoes do mundo, da profissao e outros, sem a mencao de um entendimento critico e reflexivo da realidade que desperte a necessidade de transformacao.
HIV-1, human interaction database: current status and new features

The ‘Human Immunodeficiency Virus Type 1 (HIV-1), Human Interaction Database’, available through the National Library of Medicine at http://www.ncbi. nlm.nih. gov/genome/viruses/retroviruses/hiv-1/interactions, serves the scientific community exploring the discovery of novel HIV vaccine candidates and therapeutic targets. Each HIV-1 human protein interaction can be retrieved without restriction by web-based downloads and ftp protocols and includes: Reference Sequence (RefSeq) protein accession numbers, National Center for Biotechnology Information Gene identification numbers, brief descriptions of the interactions, searchable keywords for interactions and PubMed identification numbers (PMIDs) of journal articles describing the interactions. In addition to specific HIV-1 protein–human protein interactions, included are interaction effects upon HIV-1 replication resulting when individual human gene expression is blocked using siRNA. A total of 3142 human genes are described participating in 12 786 protein–protein interactions, along with 1316 replication interactions described for each of 1250 human genes identified using small interfering RNA (siRNA). Together the data identifies 4006 human genes involved in 14 102 interactions. With the inclusion of siRNA interactions we introduce a redesigned web interface to enhance viewing, filtering and downloading of the combined data set.
Generalized preemptive RANSAC making preemptive RANSAC feasible even in low resources devices

This paper examines a generalized version of Preemptive RANSAC for visual motion estimation. The approach described employs the BRUMA function for dealing with varying block sizes and the percentages of hypotheses to be removed during the hypotheses rejection phase. The generation of a flexible number of hypotheses is also performed in order to balance the preemption scheme. Experiments were performed for both forward and side-wise motions in synthetic environment by using simulation and the ground-truth used to compare the Standard Preemptive RANSAC and its generalized version. Simulations confirmed that the quality of the results produced by the Standard Preemptive RANSAC degrade as the hardware resources used are decreased, as opposed to the results produced by the Generalized Preemptive RANSAC, with the results of the Standard Preemptive RANSAC having errors up to eleven times larger than the Generalized Preemptive RANSAC.
Demystifying the Digital Adaptive Filters Conducts in Acoustic Echo Cancellation

A digital sound system resembles the wireless network link transmission system. A wireless network link is affected by several disturbing factors: fading, attenuation, non-linear distortion and noise. These factors are also unavoidable in acoustic echo cancellation. A few number of digital adaptive filter algorithms are approached to detect and cancel the noise in a system. Among these algorithms Least Mean Square, Block Frequency Domain Adaptive Filter and Kalman Filter are widely used to predict and remove the noise or unwanted signals. It is found that performances of these filters varied and depends upon the system of application. Therefore, a detailed performance analysis is exigent. The goal of this paper is to use an approach to analyze and figure out the best performed filter by performance evaluation in the context of acoustic echo cancellation.
A novel piecewise linear segmentation for time series

Time series representation is one of the fundamental tasks in Time Series Data Mining (TSDM). Due to the advantage of easy understanding and implementation, Piecewise Linear Representation (PLR) has been widely used in compression, indexing, and similarity measurement of time series data. In this paper, we introduce a novel online PLR segmentation method. It is based on determining the cumulative radian error for each data point. The proposed method is demonstrated by applying to real stock market indices data and shows its effectiveness and superiority.
Empowerment among generations

The study investigates differences in people’s attitudes towards empowerment among generations and other demographic variables as there are only few insights available so far. Therefore, a combination of a hierarchical and a non-hierarchical cluster analysis is used, leading to two clusters termed ‘empowered employees’ and ‘less empowered employees’. Chi-square tests are applied to investigate the differences in the demographic variables among the clusters. Furthermore, a discriminant analysis is carried out to check the segmentation strength and the consistency of the clusters. Additionally, multivariate ordinary least squares (OLS) and logit estimations are used as a robustness check. Results indicate that people from Generation X and the Post-war Generation are more likely to tend towards empowerment than Baby Boomers.
One-click detection of coronary artery ostia from three-dimensional CTA data

In this paper, an one-click method for coronary artery ostia extraction from computed tomography angiography (CTA) scans is presented and a strict definition of coronary artery ostia in geometric graphics is given. Due to the presence of diverse anatomical structures surrounding the heart of cardiacCTA data, computerized segmentation of the coronary arteries is a challenging procedure. Many coronary segmentation algorithms need start point(s). And the proposed method can automatically locate artery ostia as start points by simply selecting any point inside the aorta of the top slice. It is much efficient andconvenient so that it is not need to search the start point(s) by slices. Region growing algorithm is firstly used to acquire the region of interest. Then the multi-scale filtering and morphologic opening operation are used, whose responds act as the input of the proposed ostia identification function. The method is developed and tested on 32 clinical datasets.And the result showed that our method is able to detect the ostia with a high detection rate of 96.88%.
A game-theoretic approach to power allocation in frequency-selective gaussian interference channels

This paper defines a rate maximization power allocation game in a frequency selective Gaus- sian interference channel, after assuming a suboptimal but pragmatic multi-user coding scheme. We show that the Nash equilibrium always exists in this game. We consider a distributed power allocation scheme (l, Section IV.), and provide a sufficient condition for the convergence of the distributed algorithm. The condi- tion for the convergence is also a sufficient condition under which the Nash equilibrium is unique. I. PROBLEM FORMULATION
The effect of hydroalcoholic extract of Coriandrum sativum on rat appetite

Objective: Losing weight in consequence of appetite loss can be a sign of a serious underlying condition. Currently, the most widely prescribed medication for anorexia is cyproheptadine hydrochloride. However, the clinical use of cyproheptadine hydrochloride is limited by its side effects. In Iranian traditional medicine, Coriandrum sativum stimulates the appetite. Therefore, the effect of Coriandrum sativum (coriander) hydroalcoholic extract was investigated on food intake in rats. Material and Methods: Thirty male Wistar rats were randomly divided into five groups. Two control groups were used, one group received 0.5 ml water per day (vehicle group), and another group did not receive anything (control group). The other 3 groups were daily treated by 50, 100 or 150 mg/kg of coriander for 7 days, respectively. The daily amount of the food eaten by each rat was measured for 10 days. The amount of energy intake of each rat was also calculated for 7 days during the intervention. The difference in energy intake was calculated and compared between groups. Result: There was no significant change in energy intake between control and vehicle groups. The change in energy intake after treatment by 100 and 150 mg/kg of the extract was significantly higher than other groups (p=0.030 and p=0.007) Conclusion: This study indicated that coriander had positive effects on appetite of rats. Future studies are needed to evaluate the mechanisms of the effects of this plant on appetite.
Incremental volume reconstruction and rendering for 3-D ultrasound imaging

In this paper, we present approaches toward an interactive visualization of a real time input, applied to 3-D visualizations of 2-D ultrasound echography data. The first, 3 degrees-of- freedom (DOF) incremental system visualizes a 3-D volume acquired as a stream of 2-D slices with location and orientation with 3 DOF. As each slice arrives, the system reconstructs a regular 3-D volume and renders it. Rendering is done by an incremental image-order ray- casting algorithm which stores and reuses the results of expensive resampling along the rays for speed. The second is our first experiment toward real-time 6 DOF acquisition and visualization. Two-dimensional slices with 6 DOF are reconstructed off-line, and visualized at an interactive rate using a parallel volume rendering code running on the graphics multicomputer Pixel-Planes 5.
Serie Research Memoranda Wage dispersion and mobility

This paper examines the influence of wage dispersion on job mobility. An on-the-job search model is used to describe the strategy of working individuals. We derive and estimate elasticities with respect to moments of the wage offer distribution. For this we do not need to assume a specific parametric form of this distribution, nor do we have to estimate the whole distribution. We also examine what happens to mobility if, in addition to a change of the wage offer distribution, the present wage changes by an amount proportional to the difference of the wage and the mean of the wage offer distribution. The results suggest that the effects depend on whether the present wage is smaller or larger than the mean wage offer. (OSA) is acknowledged for providing the data. Rob Aalbers provided valuable computing assistance.
LDA Topic Model with Soft Assignment of Descriptors to Words

The LDA topic model is being used to model corpora of documents that can be represented by bags of words. Here we extend the LDA model to deal with documents that are represented by bags of continuous descriptors. Given a finite dictionary of words, our extended LDA model allows for the soft assignment of descriptors to (many) dictionary words. We derive variational inference and parameter estimation procedures for the extended model, which closely resemble those obtained for the original model, with two important differences: First, the histogram of word counts is replaced by a histogram of pseudo word counts, or sums of responsibilities over all descriptors. Second, parameter estimation now depends on the average covariance matrix between these pseudocounts, reflecting the fact that with soft assignment words are not independent. We use this approach to address the detection of novel video events, where we seek to identify video events with low posterior probability. Using a benchmark dataset for novelty detection, we show a very significant improvement in the detection of novel events when using our extended LDA model with soft assignment to words as against hard assignment (the original model), achieving state of the art novelty detection results.
PCA in On-Line Handwriting Recognition of Whiteboard Notes: A Novel VQ Design for Use with Discrete HMMs

In this work we further evaluate a recently published, novel vector quantization (VQ) design for discrete HMM-based on-line handwriting recognition of whiteboard notes. To decorrelate the features, a principal component analysis (PCA) is applied. The novel VQ design ensures a lossless representation of the pressure information while modeling the statistical dependencies between the pressure and the remaining features. This is necessary because standard k-Means VQ systems cannot quantize this binary feature adequately although they have been decorrelated, which is shown in this paper. Our experiments show that the new system provides a relative improvement of r = 2.8 % in character level accuracy and a relative improvement of r = 3.3 % in word level accuracy compared to a standard k-means VQ system. Additionally our system is compared and proven to be competitive to a stateof-the-art continuous HMM system yielding a relative improvement of r = 1.4 %. A relative improvement of up to r = 0.8 % in word level accuracy can be reported when using decorrelated features compared to a system omitting the decorrelation.
A Comparison of Secular and Religious Versions of Cognitive Therapy with Depressed Christian College Students

This study was designed to answer two related questions: (a) Could Beck's cognitive-behavioral treatment of depression be efficaciously employed in a religious population, and (b) would the efficacy of Beck's cognitive-behavioral treatment of depression be enhanced if it was integrated with the subjects’ religious beliefs? A multiple cutoff procedure was utilized in the selection of subjects for a secular cognitive behavior modification group, a religious cognitive behavior modification group, and a waiting list control group. The results indicated that the secular and the religious cognitive behavior modification groups were significantly more effective than the waiting list control group in alleviating depression. No significant differences were found between secular and the religious cognitive behavior modification groups. The reductions in depression were maintained at a one-month follow-up. The results relevant to Beck's cognitive-behavioral therapy of depression and to the treatment of religious patients are discussed.