Miracle-dz/UniFAR-FTUs huggingface dataset:
Web 2.0 Technologies and Building Online Learning Communities: Students' Perspectives.

The purpose of this action research was to explore students’ perspectives regarding using Web 2.0 technologies to develop a community of learners. The course described in this study was a fully online course in an Educational Learning Technologies master’s program at a medium-sized university in the U.S. Southwest. A variety of Web 2.0 tools (Twitter, Google Docs, Skype, blogs, and wikis) were used throughout the course to enhance students’ sense of community. The methods of data collection in this study included students’ reflective journaling activities, the researcher’s journal and field notes, and students’ comments on each other’s reflections. Students indicated that using Google Docs, wikis, blogs, and Twitter gave them a sense of a learning community while using Skype did not. Google Docs and wikis had the most impact on students’ sense of a learning community in the course. Findings suggest that faculty interested in building learning communities in online environments need to use variety of Web 2.0 technologies in order to make students aware of those technologies’ promise for supporting communication.
Selt-Tuning Intelligent Control of Hydrogenerator Set Based on Wavelet Neural Networks

Considering of the highly nonlinear, time-variable and complex dynamics and the easy variance of hydrogenerator set system’s structure and parameters, a new selt-tuning control approach for hydrogenerator set system based on the learning characteristic of neural network and the function approximation ability of the wavelet analysis is studied. The selt-tuning control system consists of two wavelet neural networks, one realizes active identification and another control for hydrogenerator set. Theory and simulation results show that it is valid not only to the litter dynamic condition of hydrogenerator set systems, but also to the big dynamic condition, and it is more effective improve the dynamic and stationary performance than those based on neural networks.
Clutter modeling in infrared images using genetic programming

Background clutter characterization in infrared imagery has become an actively researched field, and several clutter models have been reported. These models attempt to evaluate the target detection and recognition probabilities that are characteristic of a certain scene when specific target and human visual perception features are known. The prior knowledge assumed and required by these models is a severe limitation. Furthermore, the attempt to model subjective and intricate mechanisms such as human perception with general mathematical formulas is controversial. In this paper, we introduce the idea of adaptive models that are dynamically derived from a set of examples by a supervised learning mechanism based on genetic programming foundations. A set of characteristic scene and target features with a demonstrated influence on the human visual perception mechanism is first extracted from the original images. Then, the correlations between these features and detection performance results obtained by visual observer tests on the same set of images are captured into models by a learning algorithm. The effectiveness of the adaptive modeling principle is discussed in the final part of the paper.
Emerging collaborative and cooperative practices in 1:1 schools

In this article, the authors explored how laptops used in 1:1 classrooms affect cooperation and collaboration practices. Based on an observational time study, the authors found that the most common activity in 1:1 classrooms is group work using the computer. They also found that, despite what the concept 1:1 alludes to about one student working with one computer, most laptop use takes on other forms such as two students working with one computer (1:2) or two students working together using two laptops (2:2). The findings reported in this article about the various different collaboration arrangements have implications for both research and practice. For practice, because teachers can arrange activities based on an awareness of the different student–laptop constellations that emerge when students are given a laptop. Research is likewise informed about the various group work constellations and can build on this knowledge for further analysis of the pros and cons with the different collaborative forms.
Bat algorithm: a novel approach for global engineering optimization

– Nature‐inspired algorithms are among the most powerful algorithms for optimization. The purpose of this paper is to introduce a new nature‐inspired metaheuristic optimization algorithm, called bat algorithm (BA), for solving engineering optimization tasks. , – The proposed BA is based on the echolocation behavior of bats. After a detailed formulation and explanation of its implementation, BA is verified using eight nonlinear engineering optimization problems reported in the specialized literature. , – BA has been carefully implemented and carried out optimization for eight well‐known optimization tasks; then a comparison has been made between the proposed algorithm and other existing algorithms. , – The optimal solutions obtained by the proposed algorithm are better than the best solutions obtained by the existing methods. The unique search features used in BA are analyzed, and their implications for future research are also discussed in detail.
Advanced coordinated voltage control strategies for active distribution network operation

An advanced approach for voltage control in distribution networks is introduced that allows the number of DERs (distributed energy resources) connected to a distribution network to be increased. This contribution discusses the approach comprehensively with simulation results and guidelines for practical implementations. The methodology presented attains the objective of controlling the voltage in distribution networks with high shares of decentralized generation while maintaining a good compromise between simplicity and performance. Possibilities of implementation in a demonstration phase are also presented.
The Design Implications of Social Interaction in a Workplace Setting

Space has been traditionally conceptualised as a passive host to its user activities. Increasingly, however, it is recognised that patterns of human interaction are derivative of the spatial configuration of which they are an integral part. This work is almost wholly confined to computational statistics of undifferentiated interactional encounters. In this paper specifically qualitative techniques will be used to extend and refine this model in order to demonstrate empirically that user behaviour may be more usefully conceptualised as a complex coalition of human behaviour and environmental resources. It is concluded that the relationship between partners of social interaction and spatial layout is more diverse and complex than previously understood, and that this complexity can only be fully accessed by a microanalytic qualitative methodology.
What Do Students Learn When Collaboratively Using A Computer Game in the Study of Historical Disease Epidemics, and Why?

The use of computer games and virtual environments has been shown to engage and motivate students and can provide opportunities to visualize the historical period and make sense of complex visual information. This article presents the results of a study in which university students were asked to collaboratively solve inquiry-based problems related to historical disease epidemics using game-based learning. A multimethod approach to the data collection was used. Initial results indicated that students attended to visual information with more specificity than text-based information when using a virtual environment. Models of student’s decision-making processes when interacting with the world confirmed that students were making decisions related to these visual elements, and not the inquiry process. Building on theories from the learning sciences, such as learning from animations/visualizations and computer-supported collaborative learning, in this article, the authors begin to answer the question of why students learned what they did about historical disease epidemics.
Myocardial Production of C-Type Natriuretic Peptide in Chronic Heart Failure

Background—C-type natriuretic peptide (CNP) is a vasodilator produced by the vascular endothelium. It shares structural and physiological properties with the cardiac hormones atrial natriuretic peptide and brain natriuretic peptide (BNP), but little is known about its pathophysiological role in chronic heart failure (CHF). We assessed the hypothesis that CNP is produced by the heart in patients with CHF. Methods and Results—Myocardial CNP production was determined (difference in plasma levels between the aortic root and coronary sinus [CS]) in 9 patients undergoing right and left heart catheterization as part of their CHF assessment (all male, age 59±9 years; New York Heart Association class 2.2±0.1; left ventricular ejection fraction 29±5%; creatinine 105±8 &mgr;mol/L [all values mean±SEM]). BNP, established as originating from myocardium, was assessed from the same samples as a positive control. Analyses were performed by a blinded operator using a standard competitive radioimmunoassay kit (Peninsula Laboratories, Bachem Ltd UK). A step-up (29%) in plasma CNP concentration was found from the aorta to the CS (3.55±1.53 versus 4.59±1.54 pg/mL, respectively;P =0.035). The mean increase in CNP was 0.90±0.35 pg/mL (range 0.05 to 2.80 pg/mL). BNP levels increased by 57% from aorta to CS (86.0±20.5 versus 135.0±42.2 pg/mL;P =0.01). CS CNP levels correlated with mean pulmonary capillary wedge pressure (r =0.82, P =0.007). Conclusions—We have shown that CNP is produced by the heart in patients with CHF. Although further evaluation is required to define its full pathophysiological role in this condition, CNP may represent an important new local mediator in the heart.
Serving Non-Traditional Students in E-Learning Environments: Building Successful Communities in the Virtual Campus

Online education has grown substantially and now must be adaptable to a variety of student cultures, concerns and needs. The current study was designed to describe the efforts of faculty who teach courses online to adapt their curriculum to meet the needs of students who fall outside of the traditional college student population that is defined as someone aged 18-24 and enrolled on a full-time basis. Utilizing survey research methods, the findings largely reinforced the notion that faculty members who teach in online, e-learning environments see differences in the way traditional and non-traditional students learn and, to the best of their abilities, work to accommodate these learning differences. Servant les étudiants non-traditionnels dans des environnements de e-apprentissage : construire des communautés réussies dans un campus virtuel. L’éducation en ligne a grandi avec succès et doit être maintenant adaptable À une variété d’étudiants ayant des cultures, des problèmes et des besoins différents. La présente étude a été élaborée pour décrire les efforts des enseignants de la faculté qui donnent des cours en ligne pour dapter leur curriculum pour répondre aux besoins des étudiants qui n’appartiennent pas À la population traditionnelle des collèges définis comme étant Âgés de 18 À 24 ans et travaillant À plein temps. Utilisant les méthodes d’enquête les résultats renforcent largement la notion que les member de la faculté qu enseignent en ligne, les environnements e-apprentissage voient les différences entre la facon don’t apprennent les étudiants traditionnels et non-traditionnels et au mieux de leurs compétences travaillent pour tenir compte de ces différences. Unterstützung von « nicht-traditionellen » Studenten in E-Learningumgebungen : Aufbau erfolgreicher Gemeinschaften im virtuellen Campus. Die Nutzung von Online-Bildung hat erheblich zugenommen und muss nun an eine Vielzahl von Studentenkulturen, Belange und Bedürfnisse angepasst werden, Die vorliegende Studie wurde durchgeführt, um die Anstrengungen der Fakultäten, die Kurse online anbieten, in Bezug auf die Angleichung ihrer Curricula an die Bedürfnisse von Studenten, die nicht der Standardpopulation (18\x9624 Jahre alt, Vollzeitstudent) entsprechen. Unter Benutzung wissenschaftlicher Erhebungsmethoden bestätigte sich, dass Lehrer, die online und mit Hilfe von e-learning-Umgebungen lehren, Lernunterschiede zwischen traditionellen und anderen Studenten feststellen und dass sie daran arbeiten, diese Lernunterschiede nach Möglichkeit abzubauen.
Unerwünschte Arzneimittelwirkungen (UAW) und Arzneimittel-Interaktionen - Definition und Einteilung

Unerwunschte Arzneimittelwirkungen treten in der Regel bei allen Arzneimitteltherapien auf, bei denen systemische Konzentrationen erreicht werden. Die meisten dieser Nebenwirkungen sind jedoch als leicht bis moderat einzustufen. Schwerwiegende Nebenwirkungen fuhren haufig zu Krankenhauseinweisungen und Intensivaufenthalten und sollten deshalb unbedingt vermieden werden. Arzneimittelinteraktionen konnen beispielsweise durch Enzymhemmung zu einer Akkumulation der Wirksubstanz und damit erhohter Inzidenz und Schwere von unerwunschten Arzneimittelwirkungen fuhren oder durch eine Enzyminduktion eine Wirkabschwachung bis hin zum Wirkverlust hervorrufen. Die Kenntnis der Mechanismen tragt zu einer Verminderung oder Vermeidung der unerwunschten Arzneimittelwirkungen bei.
[Prediction of the metastatic potential of sarcomas on the basis of a gene expression signature related to genome complexity].

> L’evolution metastatique des cancers, et des sarcomes en particulier, reste aujourd’hui le facteur pejoratif majeur dans la prise en charge des patients. En effet, la dissemination des cellules tumorales puis l’envahissement d’organes vitaux, comme les poumons, le foie ou encore les os, entrainent, dans la majorite des cas, le deces du patient. Toutes les tumeurs ne possedent pas le meme potentiel metastatique (capacite a developper des metastases). De grandes disparites existent d’un type tumoral a un autre, mais egalement d’une tumeur a une autre pour un meme type. Ainsi les sarcomes des tissus mous forment un groupe tumoral heterogene puisqu’il rassemble plus de 50 types et sous-types de tumeurs mesenchymateuses malignes [1]. Il est donc primordial, au moment du diagnostic, qu’une evaluation fiable de ce potentiel metastatique soit realisee, celle-ci conditionnera alors la prise en charge therapeutique.
Unknown Word Detection via Syntax Analyzer

A knowledge resource is the central repository of data for all Natural Language Processing (NLP) applications and development of NLP applications mostly depend on coverage of knowledge resources. The multipurpose Myanmar Language Lexico-conceptual Knowledge Resource (ML2KR) and Myanmar function tagged corpus were developed as initial resources by using semiautomatic approach. ML2KR consists of Myanmar WordNet, Myanmar English bilingual computational lexicon and morphological processor. Myanmar language is morphologically rich and agglutinative language. Therefore, it is usually required to segment Myanmar texts prior to further processing. Segmentation has two main problems, word ambiguity that more than one meaning and unknown word occurrence that a word does not have in the lexicon. In this paper, we address on the unknown word occurrence issue. To detect the new unrestricted character patterns of words, character based parsing syntax analyzer is built by using Context Free Grammar (CFG). Firstly, unknown words are considered as a Name by Name Entity Recognition with forward and backward rule based approach. If the name does not agree with syntax analyzer, all possible unknown words are verified to update the lexicon and Myanmar WordNet. DOI: http://dx.doi. org/10.11591/ij-ai.v2i3. 1802 Full Text: PDF
Syntactic change in Germanic

This study examines certain features of Dutch syntax between approximately 1300 and 1650. Of central importance are the overall developments in the word order patterning and the various changes they entail elsewhere in the grammar, such as in the negative construction. After an introductory chapter providing goals and background for the study, the quantitative analysis of the data is presented in Chapter 2. Considerable attention is paid to contextual considerations and the pragmatic aspect of word order. Chapter 3 deals specifically with the question of exbraciation; Chapter 4 returns to the functional aspect of word order and discusses the importance of the notion 'topic'. Chapter 5 provides a detailed analysis of the development of negation supported by comparative data from related Germanic languages and in a wider context of overall typological change. The concluding chapter discusses possible explanations of the findings. Two Appendices are added to the book, one providing a sketch grammar of Dutch, the other an annotated list of the corpus used. This study is purposefully eclectic in its approach, drawing upon many different traditions and areas in linguistics. This multifaceted approach is a major strength of the book, which moreover makes an important contribution to theoretical issues by presenting a vast descriptive data base for Dutch.
CMOS voltage references using lateral bipolar transistors

Two bandgap references are presented which make use of CMOS compatible lateral bipolar transistors. The circuits are designed to be insensitive to the low beta and alpha current gains of these devices. Their accuracy is not degraded by any amplifier offset. The first reference has an intrinsic low output impedance. Experimental results yield an output voltage which is constant within 2 mV, over the commercial temperature range (0 to 70/spl deg/C), when all the circuits of the same batch are trimmed at a single temperature. The load regulation is 3.5 /spl mu/V//spl mu/A, and the power supply rejection ratio (PSRR) at 100 Hz is 60 dB. Measurements on a second reference yield a PSRR of minimum 77 dB at 100 Hz. Temperature behaviour is identical to the first circuit presented. This circuit requires a supply voltage of only 1.7 V.
Impact of Data-Centre And User-Base Location On Overall Response-Time In A Cloud-Computing Environment

Cloud computing is a key component as well as a measure of success for various organizations today. Apart from benefits obtained, it is important to take into account the location of user-base and data-centre, which is essential for performance and security reasons. This information is required since the location of data-centre and user-base can impact the overall response time. In this paper we evaluate the effect on overall response time, of relevant factors such as the location of data-centre and the serviced user-base.
Classic and New Diagnostic Approaches to Childhood Tuberculosis

Tuberculosis in childhood differs from the adult clinical form and even has been suggested that it is a different disease due to its differential signs. However, prevention, diagnostics, and therapeutic efforts have been biased toward adult clinical care. Sensibility and specificity of new diagnostic approaches as GeneXpert, electronic nose (E-nose), infrared spectroscopy, accelerated mycobacterial growth induced by magnetism, and flow lateral devices in children populations are needed. Adequate and timely assessment of tuberculosis infection in childhood could diminish epidemiological burden because underdiagnosed pediatric patients can evolve to an active state and have the potential to disseminate the etiological agent Mycobacterium tuberculosis, notably increasing this worldwide public health problem.
The INFORMATION USES AND NEEDS OF SOCIAL SCIENTISTS: AN OVERVIEW OF INFROSS

When INFROSS began in the autumn of 1967, although a large number of studies had been conducted into the requirements of scientists for information, very little had been done in the field of social science information. There are a number of possible reasons for this. Social scientists, faced with a much smaller total volume of information, were much less information‐conscious and less inclined to seek for solutions. There are very few specialist libraries in the social sciences, and few librarians were therefore confronted with social scientists' information needs in the same way as librarians in scientific libraries were confronted with users and their problems. Finally, until OSTI came along there was little in the way of funds to support this kind of research. This almost total absence of previous research had its disadvantages and advantages. There were very few clues to guide us, and we were therefore working to a certain extent in the dark. On the other hand, we had a clean and open field uncorrupted by confusing and non‐comparable studies. There is something to be said for being one of the first in a field. (For an extended review of relevant work previously carried out, Michael Brittain's book should be consulted.)
Implementing data placement strategies for the CMS experiment based on a popularity model

During the first two years of data taking, the CMS experiment has collected over 20 PetaBytes of data and processed and analyzed it on the distributed, multi-tiered computing infrastructure on the WorldWide LHC Computing Grid. Given the increasing data volume that has to be stored and efficiently analyzed, it is a challenge for several LHC experiments to optimize and automate the data placement strategies in order to fully profit of the available network and storage resources and to facilitate daily computing operations. Building on previous experience acquired by ATLAS, we have developed the CMS Popularity Service that tracks file accesses and user activity on the grid and will serve as the foundation for the evolution of their data placement. A fully automated, popularity-based site-cleaning agent has been deployed in order to scan Tier-2 sites that are reaching their space quota and suggest obsolete, unused data that can be safely deleted without disrupting analysis activity. Future work will be to demonstrate dynamic data placement functionality based on this popularity service and integrate it in the data and workload management systems: as a consequence the pre-placement of data will be minimized and additional replication of hot datasets will be requested automatically. This paper will give an insight into the development, validation and production process and will analyze how the framework has influenced resource optimization and daily operations in CMS.
An Improved Animal Migration Optimization Algorithm for Clustering Analysis

Animal migration optimization (AMO) is one of the most recently introduced algorithms based on the behavior of animal swarm migration. This paper presents an improved AMO algorithm (IAMO), which significantly improves the original AMO in solving complex optimization problems. Clustering is a popular data analysis and data mining technique and it is used in many fields. The well-known method in solving clustering problems is -means clustering algorithm; however, it highly depends on the initial solution and is easy to fall into local optimum. To improve the defects of the -means method, this paper used IAMO for the clustering problem and experiment on synthetic and real life data sets. The simulation results show that the algorithm has a better performance than that of the -means, PSO, CPSO, ABC, CABC, and AMO algorithm for solving the clustering problem.