Miracle-dz/UniFAR-FTUs huggingface dataset:
A MOBILE CONTEXT-AWARE FRAMEWORK FOR SUPPORTING SELF-REGULATED LEARNERS

We have previously developed a mobile context-aware learning schedule (mCALS) framework, which provides a potential effective learning approach for supporting self-regulated students. This framework uses the learner’s learning schedule to retrieve their location and available time contexts in order to suggest appropriate materials to them based on these, at the time of usage. The user’s learning styles and knowledge level contexts are also considered. A suggestion mechanism selects appropriate learning objects to students from a learning object repository. Our interview study has been conducted and the purpose of this paper is to present the data analysis relating to participants’ learner characteristics and their usage of learning schedules for supporting time management of studies as well as their views regarding m-learning. Results showed that 1) participants who closely followed their learning schedules were learners with self-regulated learning characteristics, 2) the act of planning study-related events had helped self-regulated participants to motivate their studies, and 3) a strong significant positive correlation was obtained between participants who were more enthusiastic to m-learning and those who enjoyed studies more. The results corroborate that the learning schedule within our mCALS framework can be used successfully as a motivating learning approach for supporting self-regulated learners.
L'explicitation de l'action

L'A. centre sa communication sur une pratique d'entretien particuliere qui doit permettre d'aider, a posteriori, le passage du faire au dire : il s'agit de l'entretien de l'explicitation de l'action. La description de l'activite cognitive est ainsi envisagee du point de vue du sujet qui la met en œuvre. La demarche repose sur la mediation d'un animateur qui, a partir d'une expression initiale, va canaliser la mise en mots, guider vers un approfondissement de la description de l'action en levant des implicites inherents a toute action effective
Genetic-IDGKA: Genetic ID-Based Group Key Agreement Protocol for Large MANETs

Abstract The Research works on Key Management Schemes in Mobile Ad-Hoc Networks (MANETs) are attracting more and more attention to Researchers. Proving secured communication in MANET is extremely challenging one as it is dynamic in nature and the lack of centralized management. To address these issues, several researchers have proposed Key Management Schemes. In this work, we have identified and thoroughly studied three popular Key Management Schemes namely i. ID-based Multiple Secrets Key Management Scheme ii. RSA Certificate-Based Cryptography and iii. ID-Based Authenticated Group Key Agreement Protocol. We have proposed an efficient Genetic Model to optimize the performances of Key Management Schemes in terms of Key Initialization, Selecting Random Number Generator, Key Updation Timing, Packet Size, Computing Future Session Key and Session Group Key and forming Dynamic Clustering Group. The proposed Genetic Model was successfully implemented with VC++ and integrated with the above mentioned Key Management Schemes. From our experimental results, we revealed that the Genetic Model Based Key Management Schemes achieving higher security level as compared with ordinary Key Management Schemes, particularly the Genetic ID-Based Authenticated Group Key Agreement Protocol outperforms all the other two identified Key management Schemes in terms of Mobility Robustness, Computational and Message Overhead, Strength of Security, Key Exchange Time, Power Consumption and Key Update Time.
The Effect of Interactive Educational Workshops with or Without Standardized Patients on the Self-Efficacy of Midwifery Students in Sexual Health Counseling

Background & aim: Modifications in learning systems based on the concepts of self-efficacy and self-esteem are among the suggested strategies to bridge the gap between knowledge and practice. The aim of this study was to compare the effect of two interactive educational workshops with or without standardized patients (SPs) on midwifery students' self-efficacy in providing sexual health counseling at Mashhad University of Medical Sciences, Mashhad, Iran in 2014. Methods:In this quasi-experimental study, 62 B.Sc. and M.Sc. students of midwifery at Mashhad School of Nursing and Midwifery were randomly divided into two groups. The groups were trained, using one of two interactive educational workshops (with or without SPs) on sexual health counseling (10 hours). Data were collected, using a demographic questionnaire and a self-efficacy assessment tool. For data analysis, paired and independent t-tests were performed, using SPSS version 16. Results: The mean scores of students' self-efficacy in providing sexual health counseling in the two groups were not significantly different at the beginning of the study (P=0.587), while two weeks after the intervention, the scores were significantly higher in students who participated in SP-based workshops (76.0±10.9 vs. 66.7±5.9, P<0.0001). Conclusion: Although both methods could promote students' self-efficacy, the impact of workshops with SPs was more significant. Therefore, integration of this training method in midwifery educational curricula is recommended.
The Benefit of Integrating Technology into the Classroom

This article discusses a study of technology rich learning approach to promote mathematics teaching. Research suggests that technology used inappropriately have a significant effect in teaching and learning. Integrating technology into the classroom is an approach to develop better understanding of basic concepts provided it is applied appropriately. Based on the research of literatures cited in this article, we have explored some specific techniques using instructional techniques and stategies that we believe may be useful to promote meaningful learning in mathematics. Our thought is to apply the appropriate technology along with analytical query to accompany learning via analytical, graphical and visual approaches.
An embedded 240-mW 10-b 50-MS/s CMOS ADC in 1-mm2

A distributed-gain preamplifier uses averaging to improve resolution by 4 b in differential nonlinearity (DNL) and 2 b in integral nonlinearity (INL) in a flash analog-to-digital converter (ADC). Fabricated in a 0.5-/spl mu/m, triple-metal, single-poly CMOS process, the circuit measures 1.4 mm/spl times/1.4 mm including a bandgap and a sample-and-hold (SH), while the ADC itself occupies 1-mm/sup 2/. At a conversion rate of 50-MS/s the ADC dissipates 170 mW, the SH dissipates 70 mW, and the untrimmed ADC-plus-SH exhibits 54 dB S/(N+D) with a 12-MHz 90% full-scale input.
Recognition system for automatic diagnosis of knee ligaments

A recognition system for diagnosis of knee ligaments is described. Information about the knee is obtained by holo-interferometry. Fringe patterns on the reconstructed image are analyzed using image processing and pattern recognition techniques. Methods and algorithms for segmenting fringe area, extracting knee features, and classifying abnormal knees have been developed and tested. Twenty-five holo-interferograms have been inspected using the system. Automatic recognition of abnormal knees has been, realized. The degree of correct recognition is 84%. Only macro features of the original fringes are used in the analysis. <<ETX>>
Development of a realistic computer model of the human ventricles for the study of reentrant arrhythmias

De contracties van het hart worden veroorzaakt door elektrische golven van excitatie die door het hartweefsel propageren. De overdracht van informatie door excitatiegolven is een vaak voorkomend fenomeen in de biologie, en vindt plaats in zenuw- en spierweefsel, zoals het hart. Modelleren in de elektrofysiologie is een van de belangrijkste en boeiendste voorbeelden van de toepassing van theoretische en computationele fysica in de geneeskunde en biologie. Deze tak van de wetenschap ontstond meer dan vijftig jaar geleden met het Hodgkin-Huxley model voor de propagatie van excitatie in zenuwcellen [Hodgkin and Huxley 1952], dat de Nobelprijs won in 1963. Later werd het modelleren eveneens toegepast op hartweefsel door Noble [1962] en FitzHugh [1961], en deze modellen werden verder verfijnd naarmate de experimentele technieken om de eigenschappen van celmembranen te onderzoeken, verbeterd werden [Beeler and Reuter 1977, Luo and Rudy 1991, 1994, Noble et al. 1998]. Het bleek dat onregelmatigheden in de pulspropagatie in het hart aan de basis liggen van de gevaarlijkste hartritmestoornissen en plotse hartstilstanden, die een sterfgeval op tien in geindustrialiseerde landen op hun rekening nemen [Winfree 1994].
Monetary policy strategies: abandonment, adoption, and performance

De keuze van een monetair beleidsstrategie is een gewichtig onderwerp van onderzoek binnen de economische wetenschappen en de beleidsvorming van centrale banken. Vanwege het feit dat landen doorgaans niet vasthouden aan een bepaalde monetaire strategie, maar van tijd tot tijd veranderen, kan men zich afvragen wat de keus voor monetair beleidsstrategie beinvloed en wat de mogelijke macro-economische gevolgen zijn van dergelijke keuzes. Dit proefschrift richt zich op de analyse van twee monetaire beleidsstrategieen die uitgevoerd worden door centrale banken, namelijk: monetary targeting en inflation targeting. In het proefschrift onderzoek ik welke macro-economische, fiscale, externe, financiele en institutionele factoren van invloed zijn in de besluitvorming om monetary targeting te verlaten of om inflation targeting te implementeren. Daarnaast wordt in dit werk een uitgebreide analyse gepresenteerd over de effecten van inflation targeting op inflatie.
French Grammar And Usage

Thank you very much for reading french grammar and usage. As you may know, people have look hundreds times for their chosen books like this french grammar and usage, but end up in harmful downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they cope with some harmful bugs inside their laptop. french grammar and usage is available in our book collection an online access to it is set as public so you can download it instantly. Our digital library saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the french grammar and usage is universally compatible with any devices to read.
Neonatal Administration of Fluoxetine Decreased Final Sertoli Cell Number in Wistar Rats

The aim of the present study was to test the hypothesis that the application of fluoxetine – a highly selective serotonin reuptake inhibitor (SSRI) – in rats during the suckling period induces changes in testicular development. Groups of newborn male rats were randomly assigned with different doses of fluoxetine 24 hours after birth. Each litter stayed with its respective mother during 21 days. Body weight (BW) was measured daily from the 1st -21 day to calculate daily doses of fluoxetine. 5 mg (T1), 10 mg (T2) 20 mg (T3) or deionized water, were injected intraperitoneally. On the 21 day, animals were heparinized, anesthetized and blood was collected by cardiac puncture to determine by radioimmunoassay the follicle stimulating hormone (FSH) levels. Testis were removed, weighed, and processed for morphometric analysis. Fluoxetine groups presented decreased body and testicular weight when compared with the control group on the 21st day. Our findings show that the manipulation of the serotoninergic system with fluoxetine during the critical period of testicular development alters the Sertoli cell population and all testicular parameters related to this cell.
A Method to Detect Data Stream Changes in the Wireless Sensor Network using the Gossiping Protocol

Background: Due to the increasing volume of data, data models and identifying events that may lead to a lot of damage over time, identifying data changes has become an important issue. Methods: In this paper, first, sensor networks, their features and applications in various fields have been discussed. Then, data change algorithms and their properties are discussed. Next, algorithms concerning identifying changes in sensor networks are analyzed, and ultimately, an efficient way to detect environmental changes using the gossiping protocol is dealt with. Results: The purpose of this study is to optimize the propagation time of environmental changes among sensors, network loading concerning data volume transmitted between the sensors, performance efficiency of sensors and accuracy of detecting changes in the environment. Simulation results show that the proposed method (optimization of data stream changes identification in a wireless sensor network using the gossiping protocol) is better in comparison with other methods. Conclusion: The superiorities include reducing propagation time of environmental changes to sensors, data volume transmitted among sensors, the effect of low efficiency of a specific sensor on the performance of other sensors and increasing the accuracy of event identification.
Evaluation of a speech driven interface

Experiments performed on a prototype speech-driven word processor under development at ISDIP (the intelligent speech-driven interfaces project) based at Hatfield Polytechnic, are described. The objectives of the experiments were to: determine whether there is an increased level of user satisfaction associated with a speech-driven interface; determine whether there is an enhanced learnability factor associated with a speech-driven interface; determine whether the dialogue provided by the speech driven interface can instill confidence in the user in error retrieval; test the hypothesis that attitudes vary with different user groups; determine whether users experience inhibitions when using a speech-driven interface, and if so, whether the degree of inhibition differs with the physical location of the interface; and determine which evaluation criteria users themselves consider important for the evaluation of a speech-driven interface. A methodology is developed for user dependent evaluation of speech-driven interfaces based on the results of experimentation. >
Gaze-contingent automatic speech recognition

There has been progress in improving speech recognition using a tightly-coupled modality such as lip movement; and using additional input interfaces to improve recognition of commands in multimodal human–computer interfaces such as speech and pen-based systems. However, there has been little work that attempts to improve the recognition of spontaneous, conversational speech by adding information from a loosely–coupled modality. The study investigated this idea by integrating information from gaze into an automatic speech recognition (ASR) system. A probabilistic framework for multimodal recognition was formalised and applied to the specific case of integrating gaze and speech. Gaze-contingent ASR systems were developed from a baseline ASR system by redistributing language model probability mass according to the visual attention. These systems were tested on a corpus of matched eye movement and related spontaneous conversational British English speech segments (n=1355) for a visual-based, goal-driven task. The best performing systems had similar word error rates to the baseline ASR system and showed an increase in keyword spotting accuracy. The core values of this work may be useful for developing robust speech-centric multimodal decoding system functions.
The expected metric principle for probabilistic information retrieval

Traditionally, information retrieval systems aim to maximize the number of relevant documents returned to a user within some window of the top. For that goal, the Probability Ranking Principle, which ranks documents in decreasing order of probability of relevance, is provably optimal. However, there are many scenarios in which that ranking does not optimize for the user’s information need. One example is when the user would be satisfied with some limited number of relevant documents, rather than needing all relevant documents. We show that in such a scenario, an attempt to return many relevant documents can actually reduce the chances of finding any relevant documents. In this thesis, we introduce the Expected Metric Principle, which generalizes the Probability Ranking Principle in a way that intimately connects the evaluation metric and the retrieval model. We observe that given a probabilistic model of relevance, it is appropriate to rank so as to directly optimize these metrics in expectation. We consider a number of metrics from the literature, such as the rank of the first relevant result, the %no metric that penalizes a system only for retrieving no relevant results near the top, and the diversity of retrieved results when queries have multiple interpretations, as well as introducing our own new metrics. While direct optimization of a metric’s expected value may be computationally intractable, we explore heuristic search approaches, and show that a simple approximate greedy optimization algorithm produces rankings for TREC queries that outperform the standard approach based on the probability ranking principle. Thesis Supervisor: David R. Karger Title: Professor of Computer Science
A QVT model transformation language represented by graph production systems

English Model transformation is the key in MDA, Model Driven Architecture. In MDA, there are Platform Independent Models (PIMs), which are models that are independent of any implementation languages. There are also Platform Specific Models (PSMs), which are models specified in a certain implementation language. Finally there is the programming code. The main goal of MDA is to automatically transform these three core models into each other. OMG has issued a Request For Proposals, called QVT (Queries, Views, Transformations), in order to define a language to specify transformations of models with a given source meta-model (a model of a model) to models with a given target metamodel. The source and target meta-models are fixed for each transformation definition, but not for the transformation language. Graph transformations are about changing graphs into other graphs. The semantics of how to change one graph into another are represented by graph transformation rules. A graph transformation rule describes a change that transforms certain graphs into others. A set of graph transformation rules is usually called a graph production system. This thesis takes the QVT proposal by IBM and partners, and defines a way to represent any arbitrary transformation definition as a graph production system. The intentions of the IBM proposal are kept as much as possible. Also a tool is made which can perform the graph transformations for any arbitrary transformation definition. Dutch Modeltransformaties is de kern van MDA, Model Driven Architecture. In MDA, zijn er Platform Independent Models (PIMs), modellen die onafhankelijk van implementatietalen zijn. Er zijn ook Platform Specific Models (PSMs), modellen gespecificeerd in een bepaalde implementatietaal. Ten slot is er de programmeercode. Het hoofddoel van MDA is om deze drie kernmodellen automatisch in elkaar te laten transformeren. OMG, de Object Management Group, heeft een Request For Proposals uitgegeven, genaamd QVT (Queries, Views, Transformations), om een taal te definiëren om transformaties van modellen met een gegeven bron-metamodel (een model van een model) naar modellen met een gegeven doel-metamodel te specificeren. De bronen doel-metamodellen staan vast voor elke transformatiedefinitie, maar niet voor de transformatietaal. Graaftransformaties gaan over het veranderen van graven in ander graven. De semantiek van hoe een graaf in een andere graaf veranderd moet worden, wordt gerepresenteerd door graaftransformatieregels. Een graaftransformatieregel beschrijft een verandering, welke bepaalde grafen transformeert in andere grafen. Een set van graaftransformatieregels wordt een graafproductiesysteem genoemd. Deze scriptie neemt het QVT-voorstel van IBM en partners als uitgangspunt en definieert een manier om elke willekeurige transformatiedefinitie te representeren als een graafproductiesysteem. De intenties van het IBM voorstel worden, voor zover mogelijk, in ere gehouden. Een programma, dat de graaftransformaties kan uitvoeren voor elke willekeurige transformatie definitie, is ook gemaakt.
EFFECTS OF ENHANCEMENT METHODS ON DIAGNOSTIC QUALITY OF DIGITAL MAMMOGRAM IMAGES

Background: Breast cancer is one of the most important diseases in females. Malaysian women have not excluded. According to the Malaysian Oncology Society [1], about 4% of women (who are 40 years old and above) have involved by breast cancer. Masses and microcalcifications are two important signs for breast cancer diagnosis on mammography. According to our estimation, radiologists could diagnose breast cancer on mammogram screening program, with approximately 75% accuracy. About 25% of breast cancers have missed on mammograms. This study aimed to explore the effects of enhancement methods on digital mammograms. Methods: SPSS software have used for data analysis. Wilcox on ranked test and ROC have used to compare the original and manipulated images. In this study, 60 digital mammogram images which include 20 normal and 40 confirmed diagnosed cases of breast cancer (masses), have selected and manipulated by using histogram equation, histogram stretching and median filter. Results: The results have shown that the histogram stretching and median filter methods could improve image quality for detection of masses with increased sensitivity and specificity by 5%. Conclusion: The sensitivity and specificity have improved by using histogram stretching and median filter. The results of this study have shown results as below ; the histogram equation have improved the sensitivity up to 97.5% ,while the median filter could improve sensitivity (97.5%) and specificity (85.5%). It means that the median filter could be more effective than the other enhancement methods.
The Passion for Music: A Sociology of Mediation

Contents: Preface Introduction Lasting things: Durkheim as a founding father of the sociology of culture Transition: restoring the mediators: one method for two programmes Before mediation: social readings of arts Sociology and the art object: belief, illusion, artefacts The social history of art: reinserting the works into society The new history of art: the social in the art work Transition: linear causes or circular causalities? The Baroque case: musical upheavals Transition: 'unhappy music' which 'fade[s] away as soon as it is born'. : painting-and-objects versus music-and-society? 'What can you hear? ': an ethnographic study of a solfege lesson Transition: music as a theory of mediation 'Bach today' Intermezzo: a sociologist at the Zenith concert hall. Music lovers: taste as an activity Conclusion: the representation of music: in praise of musical artifice Epilogue: 'Vor deinen Thron'. Bibliography Index.
NATURAL LANGUAGE PROCESSING THROUGH DIFFERENT CLASSES OF MACHINE LEARNING

The internet community has been benefitting tremendously from the works of various researchers in the field of Natural Language Processing. Semantic orientation analysis, sentiment analysis, etc. has served the social networks as well as companies relying on user reviews well. Flame identification has made the internet less hostile for some users. Spam filtering has made the electronic mail a more efficient means of communication. But with the incessant growth of the internet, NLP using machine learning working on massive sets of raw and unprocessed data is an ever-growing challenge. Semi-supervised machine learning can overcome this problem by using a large set of unlabeled data in conjunction with a small set of labeled data. Also, focusing on developing NLP systems that can contribute to developing a unified architecture could pave the way towards General Intelligence in the future.