Miracle-dz/UniFAR-FTUs huggingface dataset:
DEVELOPMENT OF ONLINE-PROBLEM BASED LEARNING MODEL IN STATISTICAL METHOD COURSE

This study aims to produce a valid and effective Online-Problem Based Learning (Online-PBL) Model in Statistical Method Course. Research and development, wich consist of four stages: pre-investigation, design, realization/construction, testing/evaluating & revision, was implemented in this study. The developed Online-PBL Model was judged two expert and a user and was tested againts 15 students of Statistical Method Class in Departement Mathematics of Education, Faculty of Mathematics and natural Science, Ganesha University of Education. The results of the analysis were: (1) based on the evaluation of the expert and the user, the Online-PBL has been developed was valid, (2) the Online-PBL Model was effective to increase students’ learning outcome. Key words: Problem based learning, online learning, Statistical Method
Towards a dimension space for musical devices

While several researchers have grappled with the problem of comparing musical devices across performance, installation, and related contexts, no methodology yet exists for producing holistic, informative visualizations for these devices. Drawing on existing research in performance interaction, human-computer interaction, and design space analysis, the authors propose a dimension space representation that can be adapted for visually displaying musical devices. This paper illustrates one possible application of the dimension space to existing performance and interaction systems, revealing its usefulness both in exposing patterns across existing musical devices and aiding in the design of new ones.
A nonparametric multiplicative hazard model for event history analysis (strongly modified and revised version of Discussion Paper 12)

A major issue in exploring and analyzing complex life history data with multiple states and recurrent events is the development and availability of flexible models and methods that allow to discover unknown dynamics of underlying transition intensities, to model and to estimate nonlinear functional forms of covariates and time-varying effects, to include time-dependent covariates, and to deal with multivariate time scales. In this paper we propose and develop a nonparametric multiplicative hazard model that takes into account these aspects. Embedded in the counting process framework, estimation is based on penalized likelihoods and splines. We illustrate our approach by an application to sleep-electroencephalography data with multiple recurrent states of human sleep.
Neural Networks in Organizational Research: Applying Pattern Recognition to the Analysis of Organizational Behavior

While the term neural networks may be unfamiliar to many organizational psychologists, exciting new applications of artificial intelligence are attracting notice among organizational behavior researchers. In "Neural Networks in Organizational Research: Applying Pattern Recognition to the Analysis of Organizational Behavior", authors David Scarborough and Mark Somers bring researchers, academics, and practitioners up to speed on this emerging field, in which powerful computing capabilities offer new insights into longstanding, complex I/O questions such as employee selection and behavioral prediction. Neural networks mimic the way the human brain works, using interconnected nodes and feedback loops to "learn" to recognize even subtle patterns in vast amounts of data. They can process data far more quickly and efficiently than conventional techniques can, and produce better empirical results. They are especially useful for modeling nonlinear processes. The book traces the development of this methodology and demonstrates how it opens up new ways of thinking about traditional problems. Academic researchers will gain a design template for studying both the linear and non-linear elements of a given problem, and thus enhance their own research.
A complete 5 Gb/s throughput quadrature subcarrier system featuring zero-latency carrier and data synchronization

We have demonstrated a complete quadrature subcarrier system with 5 Gb/s throughput suitable for within-building multimode fibre applications. By using a 5.1 GHz pilot tone and referencing the data to a prescaled version of the carrier, a zero-latency synchronisation scheme has been realised which is scaleable to higher data rates and upgrades to existing infrastructure.
The neural decoder for convolutional codes on the mobile channel

This paper analyses the possibility of decoding convolutional codes (CC) by means of the multilayer perception neural network (NN) trained with the error backpropagation (EBP) algorithm. The result of the simulation shows: the best performance of the NN decoder is obtained when the reference codeword position is at the center of the working window and the performance does not improve considering larger window sizes. The random strategy success is encouraging because it offers a way to overcome the training procedure's complexity. The better performance of the adaptivity and redundancy fault tolerance of the NN is shown on the larger NN scale. The system is widely recommended, because its scale is minimum for a window width equal to 3. The Viterbi decoding does not suit the mobile channel.
Linear space-time multiuser receivers for wireless CDMA systems

We derive and evaluate the performance of two minimum mean-squared error (MMSE) multiuser multi-antenna detectors for multipath channels. We consider the case of synchronous BPSK data signals for which the two detectors differ in the order of the "real" operation (r) and the linear transformation (T) for mitigating multi-access interference. In the adaptive implementations of these detectors, the Tr detector does not require prior channel estimates whereas the rT does. We show that as the noise floor vanishes, these MMSE detectors are equivalent to respective rT and Tr decorrelating (zero-forcing) detectors. If the channel parameters are known exactly, we show that the performance of the rT decorrelating detector uniformly outperforms the Tr decorrelator. Semi-analytic results demonstrate the capacity gains achieved using these multiantenna detectors.
Surfable Surveys: Using Web-Based Technology to Reach Newsroom Respondents

This study deconstructs some of the challenges and successes in using Web-based tools to survey three groups of broadcast news personnel: news directors, producers, and show directors. In conducting two recent newsroom-based research projects, we found that Web-based survey methods offer many conveniences, including ease of design, the elimination of the data-entry phase of the project, and flexibility in question type, question order, and skip patterns. Although broadcast news personnel use a great deal of technology in their day-to-day work and are comfortable with Web interface, the use of this method in survey research didn't result in higher response rates. Significant follow-up communication to nonrespondents was still necessary. Another primary difficulty in the use of Web-based survey methods in newsrooms was the inability to easily access e-mail and contact information for potential respondents. The unspoken obstacle in newsroom survey research is the reluctance of industry professionals to dedicate time to research initiatives and the academic approach dictating certain protocols. On the basis of our experiences in fielding these two projects, several logistical suggestions for the creation and deployment of Web surveys are offered.
Supervised Machine Learning with a Novel Pointwise Density Estimator

This article proposes a novel density estimation based algorithm for carrying out supervised machine learning. The proposed algorithm features O(n) time complexity for generating a classifier, where n is the number of sampling instances in the training dataset. This feature is highly desirable in contemporary applications that involve large and still growing databases. In comparison with the kernel density estimation based approaches, the mathe-matical fundamental behind the proposed algorithm is not based on the assump-tion that the number of training instances approaches infinite. As a result, a classifier generated with the proposed algorithm may deliver higher prediction accuracy than the kernel density estimation based classifier in some cases.
The impact of teachers' understanding of division on students' division knowledge

This paper reports on a study that investigated children's knowledge of division and its relationship to the depth of their teacher's conceptual understanding of division. In particular, it examined the extent to which this translated into student understanding and how this was manifested in an ability to solve division problems. A paper and pencil test was administered to 79 Year 7 students and 15 of their teachers in four schools. Following the testing, six students from each school and all of the teachers were interviewed. Both the testing instrument and the interviews provided insight into the teachers' conceptual understanding and their students' knowledge of division. Results from this study indicate that while many students have considerable facility with division most rely on following a procedure with limited understanding. Their teachers displayed some conceptual understanding of division. However, they demonstrated a bias for procedural knowledge, both in the paper and pencil test and during the interviews.
Card stories on YouTube: a new frame for online self-disclosure

This paper deals with the phenomenon of so-called (note) card stories on YouTube. Card stories can be described as self-disclosing videos or confessions, using a new frame for telling one’s own story audio-visually to the public by combining ‘old’ (hand-written messages) and ‘new’ media (video, computer mediated communication). In 2012/13, a qualitative and exploratory study with a sample of 25 card story videos on YouTube was conducted. The content and visual analysis revealed (1) that these videos are bound to a very specific frame of presentation, (2) that they deal with specific topics, and (3) that the presenter does not remain (visually) anonymous. These findings question previous research results that stressed a strong correlation between online self-disclosure and (visual) anonymity; further, the findings show that this special frame of textual confessions via video supports deep self-disclosures.
Análisis de la escala de motivación deportiva en la categoría sub16 de la escuela de fútbol „El Nacional‟

espanolEl presente articulo presentara resultados obtenidos en encuestas realizadas a diferentes deportistas, con la finalidad de establecer los diferentes rangos de introversion, extroversion, estabilidad emocional, inestabilidad emocional, motivacion y concentracion. En esta investigacion se aplico un test de Escala de motivacion deportiva (SMS/EMD) (Pelletier et al, 1995; Balaguer, Castillos y Duda, 2003 y 2007) a una muestra de 19 deportistas de la Escuela de Futbol El Nacional. Los resultados nos indican que el 81% de los deportistas tiene motivacion intrinseca, el 72% es motivacion extrinseca y el 44% no tiene motivacion. Con los datos obtenidos se establecen las correspondientes conclusiones. EnglishThis article presented results of surveys of different athletes, in order to establish different ranges of introversion, extroversion, emotional stability, emotional instability, motivation and concentration. In this research we will apply a test of sports motivation scale (SMS/EMD) (Pelletier et al, 1995; Balaguer, Castillos and Duda, 2003 and 2007) to a sample of 19 athletes from the El Nacional soccer school. The results indicate that 81 % of athletes have intrinsic motivation; extrinsic motivation is 72 % and 44 % have no motivation. With data from the corresponding conclusions are established.
The Comparison of Keyword of Articles in Journal of the Korean Society of Physical Medicine with MeSH

Purpose The purpose of this study was to investigate the coincidence between keywords of Journal of the Korean Society of Physical Medicine (JKSPM) and MeSH terms, a controlled vocabulary used in MEDLINE. Methods A total of 838 keywords used in 252 papers of JKSPM from Vol.1, No.1, 2006 to Vol.7, No.1, 2012 were compared with MeSH terms. All of keywords are classified to three large categories; complete coincidence, incomplete coincidence, and complete incoincidence.Results The keywords in complete coincidence category were 183(21.8%), the keywords in incomplete coincidence category were 378(45.1%), and the keywords in complete incoincidence category were 277(33%). The most used keyword in complete coincidence category was 'stroke' and in complete incoincidence category was ‘balance’. The most used keyword matching entry terms in incomplete coincidence category was ‘elderly’. Conclusion The rate of complete coincidene of keywords with MeSH terms was not higher than the rates of incomplete coincidence and complete incoincidence. It is necessary to understand MeSH terms more accurately and specifically. The JKSPM should ask the authors to use MeSH terms as keyword when they submit the paper.KeyWords：Medical subject headings(MeSH), MEDLINE, Keywords
A Fuzzy Approach for Integrated Measure of Object-Oriented Software Testability

For large software systems, testing phase seems to have profound effect on the overall acceptability and quality of the final product. The success of this activity can be judged by measuring the testability of the software. A good measure for testability can better manage the testing effort and time. Different Object Oriented Metrics are used in measurement of object-oriented testability but none of them is alone sufficient to give an overall reflection of software testability. Thus an integrated measure considering the effect of all these measures is required to well define the testability. The paper combines OO software metric values into a single overall value (called Testability Index) that can be used to calculate the testability of a class. The approach uses fuzzy techniques and concepts (fuzzification of crisp metric values, inference and aggregation, defuzzification of fuzzy output). We include empirical data of testing time of 25 different Java classes, which proves that individual metric values are not sufficient to arrive at the testability of a class and validates the testability index as a good integrated measure for arriving at the testability of the class.
Access to Equal Opportunities: building of a virtual classroom within two ‘conventional’ schools

ABSTRACT The development of information and communication technologies has made it possible to establish inter‐institutional electronic networks to enhance the quality of education in small schools in sparsely populated countries like Finland. Along with this development, new kinds of virtual classrooms have emerged in symbiosis with conventional schools. A virtual classroom in a school context is a new, mostly uninvestigated, phenomenon. This article reports results of a Finnish project which linked two lower secondary classrooms to one virtual classroom. The article presents five practical settings in which the virtual classroom took place: Classroom ‐, school ‐, local ‐, regional ‐, and state contexts The rapid development of pragmatism, together with intellectual and social partnership were considered as major pedagogical advantages of the virtual classroom. Two major disadvantages are also analyzed: First, pupils inability to tolerate the electronic lack of intimacy, and second, the difficulties some pupils had with self‐discipline and self‐monitoring in the face of learning tasks in the virtual classroom
Measuring service quality in an academic library: an Indian case study

Purpose – The aim of this study is to measure the perceptions of the Jawaharlal Nehru University (JNU) library users as they relate to quality service and to determine how far the JNU library has succeeded in delivering such service to its users.Design/methodology/approach – The research was carried out among the students and faculty members of the JNU. A questionnaire was used as the data gathering instrument. The instruments for data collection consisted of structured questions. All the closed ended questions were designed to elicit responses on a five point Likert scale to measure both respondent satisfaction and perception of service quality. Analysis of the collected data made use of the chi‐square method.Findings – The results would appear to indicate that the JNU library is not lacking in quality of service. However, we need to note that quality information service is about helping users to define and satisfy their information needs, building their confidence in using information retrieval systems,.
Chinese EFL Learners’ Actual Word Processing and Lexical Learning in Performing a Collaborative Output Task

Abstract The word processing depth hypothesis implies a positive association between learners’ word processing and their lexical learning. In research, learners’ task-inherent involvement load (i.e., word processing) has not been found to be consistently associated with their lexical learning. Meanwhile, existing studies have not obtained consensus results, either, from directly associating learners’ actual word processing and their lexical learning. Against this backdrop, this paper reports a study investigating the association between Chinese EFL learners’ actual word processing and their lexical learning in performing a collaborative oral output task. Interactional and statistical analyses revealed that the participants engaged in four types of word processing; their overall word processing was significantly correlated with both their productive and receptive word acquisition and retention; their different types of word processing were significantly correlated with their productive word learning, but showed variances in correlations with their receptive word learning. The findings were discussed from the perspectives of word processing in collaborative output, word processing and lexical learning, and word processing and different modes of lexical learning.
Going the distance: a non-linear approach to change in language development

‘Transities in de vroege taalontwikkeling. ’ Psychon Ontwikkelingspsychologie (Congres of the Dutch Developmental Psychology Society), March 18-19 1993. Dalfsen, The Netherlands. ‘The development of function words. ’Dutch-German Colloquium on Language Acquisition, September 1-2 1994. Groningen, The Netherlands. ‘Transities in de vroege taalontwikkeling. ’ SGW Ontwikkelingspsychologie (Congres of the Dutch Developmental Psychology Society), May 18-19 1995. Dalfsen, The Netherlands. ‘Closed class words in motion. ’ KNAW symposium Non-linear approaches to development, Januari 29-31 1997. Amsterdam, The Netherlands. ‘Transities in functiewoorden. ’ SGW Ontwikkelingspsychologie (Congres of the Dutch Developmental Psychology Society), April 17-18 1997. Leusden, The Netherlands.
Explaining Intraurban Variations of Commuting by Job Proximity and Workers' Characteristics

Based on the Census for Transportation Planning Package (CTPP) 1990, in this paper I will attempt to explain intraurban variations of commuting time and distance in Columbus, OH. Whereas commuting times are directly available from the CTPP, commuting distances are recovered by GIS network techniques as the shortest-time distances through the urban road network. Explanations of commuting are first attempted by measures of job proximity such as distances from employment centers and a gravity-based index accounting for job competition among workers. The influence of employment centers on commuting sheds new light on polycentric urban models. The variation of commuting distance is well explained by the gravity-based job proximity index. That is to say, how far people commute is explainable to a large extent by urban land use. However, how much time people spend on commuting is complicated by their socioeconomic status, which affects their choice of commuting modes. Finally the research demonstrates the promise of explaining commuting times by workers' characteristics such as percentage of black workers, female labor participation ratio, percentage of multiple-worker households, home-ownership status, educational attainment, and wage rate. In the analyses, spatially lagged dependent variables are introduced to control for the effect of spatial autocorrelation.
Developmental Systems Science: Exploring the Application of Systems Science Methods to Developmental Science Questions

Developmental science theorists fully acknowledge the wide array of complex interactions among biology, behavior, and environment that together give rise to development. However, despite this conceptual understanding of development as a system, developmental science has not fully applied analytic methods commensurate with this systems perspective. This article provides a brief introduction to systems science, an approach to problem solving that involves the use of methods especially equipped to handle complex relationships and their evolution over time. In addition, a rationale is provided for why and how these methods can serve the needs of the developmental science research community.
Implications of the Dunbar Number in Collective Intelligence based on Social Network Services

This study establishes a simple Causal Map in order to understand the structure of Social Network Services(SNS). From this, the paper proposes a simulation with drawing Simulation Model and it examines whether a Dunbar Number is available for the emergence of collective intelligence based on an on-line network. Through my analytical research, it turn out both Closed SNS and Open SNS have their own Dunbar Number. However, it appear that Open SNS can expand infinitely as it has a unique property namely weak tie. This implies that it is significant for a system or policy to be developed in order to overcome the problem of Dunbar Number, whereas restricting the extension of a network by considering the Dunbar Number would have a negative impact on emergence of collective intelligence.
Two quantitative methods of studying phraseology in English

Word frequency lists are a standard resource for many theoretical, descriptive and applied questions. However, due to severe problems of definition, there are no equivalent lists which give the frequency of phrases. This paper proposes two independent methods of studying the frequent phraseology of English. First, using a data-base of the most frequent collocations between word-forms in a 200-million word corpus, the strength of attraction between pairs of content words is discussed. Second, using a corpus of 2.5 million words, some of the most frequent phrases, in the sense of strings of uninterrupted word-forms, are identified, and their lexical, grammatical and semantic features are discussed.