bluuebunny/crossref_metadata_2025 huggingface dataset:
Rétablir le « Tu » intérieur dans le témoignage du trauma
Authors: Laub Dori
Published: April 2015

Au plus profond du cœur de l’expérience traumatique extrême (par exemple, un génocide ou des abus sexuels sur enfants) réside la destruction de la dyade internalisée et empathique de la communication. Comme le bourreau ne tient pas compte des supplications des victimes et procède impitoyablement à leur exécution, le « Tu » intérieur, l’adresse avec laquelle un dialogue intérieur peut prendre place – un élément indispensable à la symbolisation et à la constitution d’un monde intérieur – cesse d’exister. Sans ce dialogue interne, la représentation psychique de l’expérience traumatique ne peut exister et un récit pouvant se raconter à quelqu’un d’autre ne peut se constituer. En conséquence et dans une large mesure, le témoin « ne sait pas » ce qu’il sait de son expérience de l’extrême. C’est seulement à travers le processus du témoignage, en compagnie d’un écoutant intime, d’un écoutant totalement présent, que le « Tu » intérieur perdu peut commencer à être rétabli et qu’un processus de dialogue interne, de symbolisation et de formation d’un récit peut reprendre. Une mémoire est ainsi créée qui peut, à la fois, être reprise et oubliée. L’intervention du témoignage vidéo décrite ici a un effet thérapeutique, à la fois en créant la possibilité d’un passé remémoré, et aussi, en libérant un espace émotionnel disponible au présent. Le discours du trauma est parcouru d’essais infructueux de mise en narration du trauma, allant de trous de mémoire temporaires à des états de dissociation voire de mutisme total : on donnera des exemples de telles « crises du témoignage ».
Le stress prénatal et le développement humain : une réponse adaptative à un environnement adverse ou un effet tératogène au développement de l’enfant ?
Authors: Garon-Carrier Gabrielle
Published: April 2015

Le stress est souvent considéré comme un facteur prédisposant à plusieurs pathologies physiques et mentales. Durant la période de la grossesse, il peut affecter le développement du fœtus de diverses manières, entre autres, par une transmission hormonale de la mère au fœtus, une réduction de la circulation sanguine reliée au placenta ou encore, une modification dans les habitudes de vie de la mère. De plus en plus d’études effectuées sur les humains tendent à montrer un effet délétère du stress prénatal sur le développement de l’axe hypothalamo-hypophyso-surrénal (HHS), et dont les conséquences associées à un dysfonctionnement de cet axe se manifestent dans plusieurs sphères développementales au long cours (sociale, cognitive, physique). Néanmoins, le stress est aussi associé à des effets bénéfiques chez l’individu et selon la conception évolutive, permettrait d’assurer la survie de l’espèce. En ce sens, est-ce que le stress prénatal n’a que des conséquences néfastes ? Selon l’hypothèse de la programmation fœtale, le stress prénatal est adaptatif et favorise la survie de l’individu si l’enfant se retrouve dans un environnement postnatal stressant et hostile. D’après le modèle diathèse-stress, le stress prénatal constitue une vulnérabilité dont les conséquences ne se manifestent qu’en présence d’un environnement postnatal adverse. Puis, selon l’hypothèse de la susceptibilité à l’influence environnementale, les effets du stress prénatal relève d’une différence individuelle dans la plasticité de l’individu.
Anxiété de séparation maternelle et le développement social de l’enfant
Authors: Pessoa e Costa Inês , Torres Nuno , Monteiro Ligia , Tereno Susana , Veríssimo Manuela
Published: April 2015

Le principal objectif de cette étude est de déterminer quels sont les effets de l’anxiété de la séparation maternelle sur le développement social de l’enfant, notamment, sur ses compétences sociales. Les données ont été recueillies auprès de 312 mères dont leurs enfants étaient en école maternelle. Deux échelles ont été utilisées : l’échelle d’anxiété de séparation maternelle (MSAS - Hock, McBride et Gneza, 1989) et l’échelle de compétence sociale et d’évaluation du comportement (SCBE – La Freniere et Dumas, 1996). Les résultats montrent que des niveaux élevés d’anxiété maternelle de séparation entraînent des baisses des compétences sociales, surtout pour les garçons.
Brevet et politiques de développement : regards sur l’exploitation locale des droits
Authors: Yamthieu Sylvestre
Published: April 2015

Pendant longtemps, la théorie du contrat a été avancée pour expliquer le droit du brevet. Ce fondement philosophique met en exergue l’idée d’un équilibre entre les droits de l’inventeur et ceux de la société. La protection par brevet correspond alors non seulement à une idée de justice en faveur du créateur, mais plus encore à une pensée d’intérêt social. Cela s’explique encore par le fait que le droit conféré doit favoriser le progrès industriel du pays. Or la standardisation des règles matérielles du brevet au-delà des frontières a pour conséquence leur inadaptation aux réalités locales, en particulier dans les pays en développement (PED). D’une part, les titulaires de brevets dans ces pays sont en grande majorité des ressortissants des pays industrialisés. D’autre part, la mise en œuvre du système actuel de brevet n’est pas favorable au transfert de technologie et donc au développement des pays du Sud. Dans ce contexte, l’objectif de cette étude est de montrer comment et en quoi l’exploitation locale du brevet peut contribuer au développement des pays du Sud. Cette démarche se justifie d’autant qu’au regard de la montée des accords bilatéraux contenant des clauses de propriété intellectuelle, il est difficile d’envisager des solutions (réalistes) en dehors du système international. Dans cette perspective, il s’agit de dégager des arguments sur lesquels les PED pourraient se fonder pour faire de l’exploitation locale du brevet un levier pour leur développement socio-économique.
Concurrence normative en Europe : quelle attractivité pour les droits nationaux ?
Authors: Defromont Julien-Alexis , Menétrey Séverine
Published: April 2015

Cet article retrace les origines de la concurrence normative qui s’inscrit dans l’analyse économique du droit et confronte ce discours économiste essentiellement nord-américain au discours intégrationniste européen. La concurrence normative, qui repose sur une logique utilitariste d’optimisation des intérêts privés, n’est pas étrangère à l’Union européenne, mais la dialectique entre harmonisation du droit et autonomie des États membres réduit la portée de cette concurrence pensée uniquement en termes économiques. De manière prospective, elle invite à s’interroger sur l’émergence d’une attractivité des droits nationaux fondée sur des valeurs autres qu’économiques.
La lutte contre le sida : le face à face des associations et de l’État
Authors: Saout Christian
Published: April 2015

L’usage courant de l’expression « face à face » laisse présager la confrontation ou l’affrontement. Mais ce serait alors réduire les relations entre les associations et l’État dans le domaine de la lutte contre le sida. Historiquement, c’est un jeu d’acteurs plus complexe qui s’est organisé, au sein duquel le « face à face », relayé par les médias, a plutôt servi de long point d’appui pour passer du « dos à dos » initial aux partenariats observés aujourd’hui.
L’éveil médical au conflit des hôpitaux (1982-1983)
Authors: Denormandie Philippe
Published: April 2015

Le monde de la santé a été marqué en 1983 par une grande grève menée par les internes et les chefs de clinique des hôpitaux de ville de faculté. Des craintes, de l’espoir puis ensuite une grande déception expliquent l’importance, la durée et parfois la violence de ce mouvement. Il a été marqué par plusieurs étapes et a nécessité de relever de nombreux défis, en particulier gagner l’adhésion de la population, maintenir l’unité du mouvement et comprendre comment et avec qui négocier au sein du gouvernement. Ce fut une aventure positive pour toute une génération.
“Ras la seringue”, le premier conflit infirmier
Authors: Maillard Christine
Published: April 2015

Auteur de Infirmière, la passion de l’hôpital , Michelle Bressand, cadre infirmier « faisant partie de cette communauté infirmière engagée qui surveillait l’évolution de la profession » en 1988, avant de devenir par la suite la première infirmière inspectrice générale de la santé, a témoigné de sa participation à ce conflit – « l’ayant beaucoup suivi, voire, dit-elle, un peu encouragé » – lors de la première conférence du cycle 2014 de la Chaire santé de Sciences Po dont on lira ici le compte rendu. À l’annonce du décret Barzach, qui permettait aux non-bacheliers de présenter le concours d’entrée à l’école d’infirmières, cette contestation, déclenchée par la Coordination nationale des infirmières et soutenue par les cadres infirmiers, a mis en lumière combien les autorités sanitaires étaient en décalage avec cette profession, « donnant l’impression de n’avoir rien compris à son évolution ».
Incarcerated Grynfeltt-Lesshaft Hernia
Authors: Scheffler Max , Renard Julien , Bucher Pascal , Botsikas Diomidis
Published: April 2015

Superior lumbar triangle hernia, also known as Grynfeltt-Lesshaft hernia, denotes a subtype of abdominal wall hernia, and more specifically of lumbar hernia, occurring between the 12th rib, the internal oblique muscle, and the quadratus lumborum muscle. We report the case of a 92-year-old female patient in which this form of hernia occurred, complicated by incarceration and acute bowel obstruction. The discussion contains a short résumé of the different kinds of abdominal wall hernias.
Building and Maintenance of Social Capital in Rural Farming Community of the Western Hills of Nepal
Authors: Shrestha Ram Krishna , Cameron Donald Charles , Coutts Jeff , Cavaye Jim
Published: April 2015

Farmers' cooperatives are considered social capital dependent organization. Fostering the development of social capital and its maintenance would help improve the performance of farmers' cooperatives. Multiple case studies of agriculture cooperatives from Western Hills of Nepal were carried out to explore what prompts the building of the social capital and what factors influence the maintenance of this capital in farming communities. Finding shows that ‘extension and rural development intervention', ‘access to external supports and benefits', and ‘existing economic potential' in the form of market-oriented vegetable production were the drivers of social capital building. Similarly, ‘leadership', ‘good governance', and ‘members' commitment' influenced maintenance of social capital within the framework of case study cooperatives. The finding concluded that channelizing extension services through cooperatives had a strong bearing on social capital building and that internal dynamics of cooperatives were critical in the maintenance of social capital. Some policy implications are given.
Calcifications Attenuation in Left Coronary Artery CT Images Using FDA Domain
Authors: Mithun Kumar PK  , Rahman Mohammad Motiur
Published: April 2015

The calcification plaque is a one kind of artifacts or noises, which is occurred in the Computed Tomography (CT) images as a very high attenuation coefficient. Computed Tomography (CT) images are more helpful than other modalities (e.g. Ultrasonic Imaging, Magnetic Resonance Imaging (MRI) etc.) for disease diagnosis but unfortunately, CT image is an affected sometime by calcification plaque. Medical image segmentation cannot be optimum because of having calcification in the CT images, which is absolutely unexpected. The calcification plaque is the major problem for optimal organ segmentation and detection. This proposed task is a subjective as well as an effective for calcification alleviation from CT images. In this paper, Firstly, we applied the Fisher's Discriminant Analysis (FDA) for optimal threshold value estimation. Secondly, the proposed optimal threshold value is used for the optimal threshold image extraction. After this, the morphological operation is used for heavy calcification erosion and the XOR operation is used for adjusting the optimal threshold image with the input image. Finally, we implemented the Extra-Energy Reduction (EER) Function to smooth the desired image. Therefore, our investigated method is the most significant and articulate in order to attenuate calcification plaque from CT images.
Model Simulating the Heat Transfer of Skin
Authors: Jarløv Anders , Jensen Tim Toftgaard
Published: April 2015

The relationship between surface temperature and heat transfer in a section of isotropic material with plane parallel sides, in this context simulating human skin, can be attained by means of analogue models. A model, in the form of electric circuits, enables the analogue functions to be recorded as electrical signals. Analogue heat transfer rates derived by processing voltage data from the models can be used for the determination of analogue measures of blood perfusion of the skin, which is generally stated in terms of ml blood flow per 100 ml tissue per minute. Analogue time scales can be compressed, reducing recording times of analogue functions, and inaccessible sites of actual tissues can be made accessible for observation in a model version. Lengthy calculations and the development of formulas can be substituted with the recording of analogue functions. The ability of a perfusable material to simulate the skin model is estimated by how well the material, when subjected to known perfusions with water, exhibit surface temperatures that agree with the corresponding analogue properties of the electrical model. The materials and methods are tentatively applied to recordings of perfusion of human skin.
Personal Financial Aggregation and Social Media Mining
Authors: Gupta Vipul , Khanna Sameer , Kim Iljoo
Published: April 2015

Consumers have been banking and trading online for several years now. More ambitious and tech savvy consumers have also been constructing an overview of their financial life by using Personal Finance software like Quicken and online tools such as Yodlee and Mint.com. Since late 1999, Personal Financial Aggregators (PFAs) have started offering internet based services to automate this process of account aggregation. This web account aggregation allows individuals to log onto one Web site and view all of their online accounts in one place. Online accounts that can be aggregated include financial sites (bank, credit card, brokerage, insurance, etc.) as well as lifestyle-based sites (travel awards, email, chat rooms, etc.). The idea behind Personal Financial Aggregation is to offer consumers their own personal portal from which they can see all their finances at a glance, balance and rebalance accounts, make investments, pay bills, etc. In addition to this Web data aggregation, consumers are relying on social media sites such as facebook, tweeter and other internet forums to get financial advice from each other and also to critique various financial products and services. As a result, many Financial Institutions (FIs) are using social media analysis and mining to shape their businesses. FIs include consumer banks, brokerages, insurance, wealth management firms, etc. This paper presents a framework for financial institutions that combines social media mining, web mining, online advice engines, and web aggregation. This framework can be utilized by FIs to analyze online buzz about their products/services and combine those insights with web aggregation and online advice to create different revenue streams and to offer personalized bundled products and services. The authors conducted interviews with various executives at the Global Financial institutions and insurance companies to test and validate this framework. A comprehensive review of top service providers and vendors that can enable and drive this framework is also discussed in this paper, followed by managerial implications, benefits and challenges.
Factors Influencing Office-Workers' Purchase Intention though Social Media
Authors: Liang Chih-Chin , Dang Hanh Thi
Published: April 2015

Social media (SM) are currently gaining rapid and widespread popularity. SM have been recognized as effective marketing tools that can influence customer behavior; however, the literature neglects this topic. This investigation proposed an integrated and modified framework derived from the technology acceptance model to systematically analyze and investigate the critical influences on the intention of office-workers to make a purchase via SM when SM are used for marketing communications. This study surveyed 400 office-workers from businesses in Taiwan. The findings demonstrate that factors such as perceived ease of use, SM experience, social influence, gender difference, and product/service information are important influences on SM shopping predisposition. Additionally, three clusters of shoppers are identified based on their purchase intention. Each cluster has different demographic and behavioral characteristics and exhibits significant concerns regarding the above factors. Specific marketing strategies are provided for each of the three clusters to help companies better target their customers.
Investigating the Relationship between Educational Quality and Students' Satisfaction
Authors: Omran Sally Kamel Ali
Published: April 2015

This research aims at investigating the relationship between higher educational quality and students' satisfaction who are studying in the professional programs (MBA, DBA, and Diploma) offered by Faculty of Commerce, Cairo University. The research depends on stratified random sample of 235 students. The response rate is 83.9% and data is analyzed by different statistical methods. The research ends with the following results: (a) there is positive, strong, and significant relationship between higher educational quality and students' satisfaction level; (b) there is positive, strong and significant relationship between functional quality, technical quality, college image and the overall higher educational quality; (c) there is positive, strong, and significant relationship between functional quality, technical quality, college image and students' satisfaction level; (d) technical quality is the strongest determinant of the educational quality followed by college image and finally functional quality. Finally, the research ends with some suggested points for future research.
Clausewitz and the Utility of Cyberattacks in War
Authors: Jacobsen Jeppe Teglskov
Published: April 2015

There is no cyberwar. This observation, however, does not render cyberattacks unimportant. This article returns to Clausewitz's On War (1832) and examines the utility of cyberattacks in future wars. In doing so, the article not only targets the misunderstandings and exaggerations prevalent in the literature, but also demonstrates that On War, albeit two centuries old, is a key work in understanding the relationship between cyberattacks and war. Drawing on Clausewitz, the article finds that cyberattacks can be useful tools particularly in the initial phase of war. However cyberattacks remain inferior to conventional military weaponry, ultimately rendering cyberwar unlikely.
Intellectual Property Protection in Small Knowledge Intensive Enterprises
Authors: Kulmala Riikka , Kettunen Juha
Published: April 2015

Knowledge-based assets, intellectual property, and capital play a fundamental role in an enterprise's competitiveness, especially in small knowledge intensive enterprises. Small knowledge intensive enterprises need to create new ways of operating in order to manage the intellectual and knowledge-based assets in their organizations more efficiently. Organizational knowledge and intellectual property can be protected, either formally via IPR, or informally via efficient knowledge management. Successful IP protection requires systematic intellectual property and knowledge management. Intellectual property protection via efficient knowledge management affects the entire organization rather than being just a separate task. It needs to be embedded in organizational work routines, practices, and processes as an overall operational strategy. When embedded in organizational work processes, IP protection and knowledge management become a continuous part of work routines and tasks in the enterprise, not a separate action.
Survey of Digital Forensics Technologies and Tools for Android based Intelligent Devices
Authors: Wan Xuejiao , He Jingsha , Liu Gongzheng , Huang Na , Zhu Xingye , Zhao Bin , Mai Yonghao
Published: April 2015

During the rapid development of mobile wireless technologies and applications, the Android operating system, due to its open-source characteristics, has become the most popular development platform in the smartphone market. Meanwhile, as Android-based intelligent mobiles devices experience a rapid increase in numbers, high-tech crimes involving such devices have become more versatile, affecting an ever increasing amount of data, thus making digital evidence an indispensable part of the evidence that needs to be seriously dealt with during crime investigations. Consequently, understanding the internal structure of Android and the various data operations in the file systems becomes necessary in Android-based digital forensics. In this paper, we survey the state-of-the-art of technologies in Android-based digital forensics and some popular tools in the aspects of data recovery and acquisition, file system analysis and data analysis. We also discuss some technical challenges and point out future research directions in Android-based digital forensics.
Implementation of a RFID-based System for Library Management
Authors: Fujisaki Kiyotaka
Published: April 2015

Using electromagnetic coupling, an RFID tag can get power supplier by a reader and communicate with it for data exchange. Because the RFID system enables non-contact communication, various services and applications including the management of a library catalogue are possible. However, the system is affected easily by neighboring environment and the resonant frequency, thus the communication performance is degraded. In this paper, is used 13.56MHz RFID system for the management of the library. We evaluate the influence that papers or other RFID tags give to the resonant frequency of an RFID tag.
Design and Implementation of a Visualization System for Wireless Mesh Networks
Authors: Kumata Yuki , Shoji Shuji , Koyama Akio
Published: April 2015

Wireless Mesh Networks (WMNs) consist of several Access Points (APs) of Wireless Local Area Networks (WLANs) interconnected through wireless links. It is necessary to monitor the networks in order to properly operate WMNs. However, it is very difficult to always monitor WMNs. Although several researches for visualization system of WMNs were done, there are some problems such as lack of dynamic information and past information. Our previous system also had problems such as lack of visualization information and inefficient information collection method. In this paper, we propose an extended visualization system for WMNs called Mesh Net Viewer II (MNVII). MNVII can visualize not only network topology and link stability degree but also packet flow, route information and past information of WMNs. Furthermore, we have improved visualization information collection method of our previous system. In the performance evaluation, we verified visualization accuracy and real time characteristics of MNVII.
Delay Tolerant Navigation Method for Fast Evacuation in Poor Communication Environment at the Time of Disaster
Authors: Takayama Yuki , Miwa Hiroyoshi
Published: April 2015

It is very important to evacuate quickly to evacuation sites in order to minimize the number of victims in the event of a disaster. However, since only information about the locations of evacuation sites is presented before a disaster, in the event of a disaster, people present at various places will not be sure about the evacuation routes that they should take individually. Accordingly, there is a need for a method for quickly determining evacuation routes and guiding people in accordance with the status of the locations of evacuation sites, the location of impassable road section, and the congestion caused by vast number of evacuees. However, in poor communication environments such as disaster area, since information distribution is very difficult and delays are inevitable, a method for determining evacuation routes must consider delays in information distribution. In this paper, we propose a method of determining evacuation guidance routes in consideration of delays that occur in information distribution, and we evaluates the influence of the delays on evacuation guidance and the performance of the proposed method through simulation.
Gpop
Authors: Seddiki Manel , Benchaïba Mahfoud
Published: April 2015

Unstructured overlays such as P2P networks and social networks stimulate many research areas. This kind of overlays is composed of a set of self-manageable entities which share objects between them in a spontaneous way. Getting a global knowledge such as popularity of shared objects or reputation of the entity is a challenging task because in such overlays, entities have only partial knowledge about the overlay state. In this paper, the authors focus on the file popularity measurement because this parameter can be efficiently used to improve object replication and object search performances. Some research works are proposed to measure this parameter, but these measurements are only based on local knowledge of peers. The authors propose Gpop, a global file popularity measurement for unstructured P2P networks which considers both local knowledge of the peer and knowledge of the other peers participating in the network to gain a global-like knowledge. Simulation results reinforce the authors' theoretical propositions and show that our measurement is closer to the real file popularity.
A Survey of Recent Trends in Wireless Communication Standards, Routing Protocols, and Energy Harvesting Techniques in E-Health Applications
Authors: Rezaei Fahimeh , Hempel Michael , Sharif Hamid
Published: April 2015

One of the most rapidly growing technology areas is the advances in sensing, networking, and miniaturization in medical domain, which enables innovative new applications. This is especially apparent in e-Health and telemedicine. There is an enormous demand for innovation in wireless sensor networking, body area networks, network security and routing, and many other areas, attracting the attention of numerous researchers. With all the advances it can be challenging to identify trends and areas with opportunities for research engagement. In this paper, the authors therefore review the state-of-the-art in wireless communication used in telemedicine and e-Health applications – ranging from the Wide Area Networks to Body Area Networks – and discuss the studies and literature that employ these technologies for e-Health applications. Moreover, recent routing protocols and techniques that are used for Body Area Networks are investigated. One key challenge for e-Health applications, particularly for mobile or patient-worn devices, is energy consumption and supply. One possible solution is found in energy harvesting, and our survey encompasses current challenges and accomplishments in its application to e-Health and discuss various promising techniques.
Interval-Valued Bimatrix Game Method for Engineering Project Management
Authors: Fei Wei
Published: April 2015

The bimatrix game theory is concerned with how two players make decisions when they are faced with known exact payoffs. The aim of this paper is to develop a simple and an effective bilinear programming method for solving bimatrix games in which the payoffs are represented by intervals. Because the payoffs of the bimatrix game are intervals, the values of the bimatrix game for both players are intervals as well from the viewpoint of logic. Based on the definition of the values of the bimatrix game for players, the game values may be regarded as functions of payoffs belonging to the payoff intervals, which are proven to be monotonic non-decreasing. A pair of auxiliary bilinear programming models is formulated to obtain the upper bound and the lower bound of the interval-type values of the interval-valued bimatrix game by using the upper bounds and the lower bounds of the payoff intervals, respectively. A real example of the engineering project management problem is used to illustrate the applicability and effectivity of the proposed models and method.
Fuzzy Dynamic Load Balancing in Virtualized Data Centers of SaaS Cloud Provider
Authors: Nine Md. S. Q. Zulkar , Azad Abul Kalam , Abdullah Saad , Rahman Rashedur M.
Published: April 2015

Cloud computing provides a robust infrastructure that can facilitate computing power as a utility service. All the virtualized services are made available to end users in a pay-as-you-go basis. Serving user requests using distributed network of Virtualized Data Centers is a challenging task as response time increases significantly without a proper load balancing strategy. As the parameters involved in generating load in the Virtualized Data Center has imprecise effect on the overall load of Virtual Machine, a fuzzy load balancing strategy is required. This paper proposes two efficient fuzzy load balancing methods - Fuzzy Active Monitoring Load Balancer (FAM-LB) and Fuzzy Throttled Load Balancer (FT-LB) for the distributed SaaS cloud provider. The authors implemented a cloud model in simulation environment and compared the results of otheir novel approach with the existing techniques. Among them FT-LB has provided better performance compared to other scheduling algorithms.
QoS Oriented Enhancement based on the Analysis of Dynamic Job Scheduling in HPC
Authors: Raveendran Reshmi , Saravanan D. Shanthi
Published: April 2015

With the advent of High Performance Computing (HPC) in the large-scale parallel computational environment, better job scheduling and resource allocation techniques are required to deliver Quality of Service (QoS). Therefore, job scheduling on a large-scale parallel system has been studied to minimize the queue time, response time, and to maximize the overall system utilization. The objective of this paper is to touch upon the recent methods used for dynamic resource allocation across multiple computing nodes and the impact of scheduling algorithms. In addition, a quantitative approach which explains a trend line analysis on dynamic allocation for batch processors is depicted. Throughout the survey, the trends in research on dynamic allocation and parallel computing is identified, besides, highlights the potential areas for future research and development. This study proposes the design for an efficient dynamic scheduling algorithm based on the Quality-of-Service. The analysis provides a compelling research platform to optimize dynamic scheduling of jobs in HPC.
Local and Global Latent Semantic Analysis for Text Categorization
Authors: Ghanem Khadoudja
Published: April 2015

In this paper the authors propose a semantic approach to document categorization. The idea is to create for each category a semantic index (representative term vector) by performing a local Latent Semantic Analysis (LSA) followed by a clustering process. A second use of LSA (Global LSA) is adopted on a term-Class matrix in order to retrieve the class which is the most similar to the query (document to classify) in the same way where the LSA is used to retrieve documents which are the most similar to a query in Information Retrieval. The proposed system is evaluated on a popular dataset which is 20 Newsgroup corpus. Obtained results show the effectiveness of the method compared with those obtained with the classic KNN and SVM classifiers as well as with methods presented in the literature. Experimental results show that the new method has high precision and recall rates and classification accuracy is significantly improved.
X-CM
Authors: Chin Swee-Mei , Haw Su-Cheng , Chua Fang-Fang
Published: April 2015

The emergence of XML as the de facto for data exchange in the World Wide Web and the increase popularity of XML in the business application have urge momentum research on way to generate a well-formed XML document to store and maintain it in the databases. Thus, a good schema such as XML schema is undeniable needed in order to define the syntax and structure of the XML instance to ensure data integrity. Nevertheless, schemas serve as logical model rather than conceptual model where semantics of the underlying document are hardly expressed. As such, in this paper, the authors proposed X-CM, a new conceptual modeling for XML as the mechanism to model components of XML conceptually and to express the underlying semantic explicitly. First, the authors reviewed the semantics and structure of conceptual modeling of existing approaches. Then, the authors proposed their X-CM modeling construct and implemented X-CM in a university based scenario. Lastly, the authors summarized the evaluation result and comments provided by the XML database experts and evaluators based on the authors proposed model.
A Hybrid Recommendation Approach for Personalized Retrieval of Research Articles
Authors: Omisore Olatunji Mumini
Published: April 2015

Trends of researches in information filtering has advanced the use of Recommender Systems (RSs) in many E-business sites, and re-shaped their commercial activities. Recommendations made by such systems are casted within an informal community of users and social context. As a result, a number of RS techniques have been proposed. Single and hybrid RSs have been applied to enhance recommendation. In this study, a hybrid recommendation approach for personalized retrieval of research articles was propose to improve researchers' accuracy in research article retrieval. Collaborative, Context-Based, and Knowledge Based filtering approaches of RS are integrated. Results obtained from the filters are amalgamated with an averaging technique to produce optimal result from which top-N are recommended to researchers. Evaluation of results obtained from experimental study shows the model was able to recommend articles with notable precise relevance.
A Hybrid Classification Approach Based on Decision Tree and Naïve Bays Methods
Authors: Muqasqas Saed A. , Radaideh Qasem A. Al , Abul-Huda Bilal A.
Published: April 2015

Data classification as one of the main tasks of data mining has an important role in many fields. Classification techniques differ mainly in the accuracy of their models, which depends on the method adopted during the learning phase. Several researchers attempted to enhance the classification accuracy by combining different classification methods in the same learning process; resulting in a hybrid-based classifier. In this paper, the authors propose and build a hybrid classifier technique based on Naïve Bayes and C4.5 classifiers. The main goal of the proposed model is to reduce the complexity of the NBTree technique, which is a well known hybrid classification technique, and to improve the overall classification accuracy. Thirty six samples of UCI datasets were used in evaluation. Results have shown that the proposed technique significantly outperforms the NBTree technique and some other classifiers proposed in the literature in term of classification accuracy. The proposed classification approach yields an overall average accuracy equal to 85.70% over the 36 datasets.
On the Configuration of Crowdsourcing Projects
Authors: Hosseini Mahmood , Phalp Keith , Taylor Jacqui , Ali Raian
Published: April 2015

Crowdsourcing is an emerging paradigm, facilitated by the ease and scale of online connectivity, which harnesses the power of the crowds to solve problems and contribute knowledge. Crowdsourcing has been tried in practice and there are several commercial general-purpose crowdsourcing platforms on the web. Although the paradigm feasibility and impact have become evident, we still lack engineering methods and principles which aid the construction of quality crowdsourcing-based solutions. One of these aspects is the compatibility between the various configuration choices of the elements of a crowdsourcing project. In a previous work, the authors surveyed the literature and extracted a taxonomy of the various features which describes each of the four pillars of crowdsourcing: the crowd, the crowdsourcer, the crowdsourced task and the crowdsourcing platform. In this paper, the authors study the inter-relations between these features when configuring a crowdsourcing project. They start with an initial template and then confirm and enhance it by an expert study which involves 37 experts who applied crowdsourcing in practice and published research results. Their study helps crowdsourcers and crowdsourcing platform developers to better understand the several peculiarities that may arise by combining these features and thus assist them in the configuration of crowdsourcing projects with more awareness.
Social Impact of Osteoporotic Fractures
Authors: Muratore Maurizio , Conversano Francesco , Renna Maria Daniela , Pisani Paola , Villani Valeria , Casciaro Sergio
Published: April 2015

Osteoporosis affects about 200 million subjects in the world and is responsible for 8.9 million fractures each year. The frequency of osteoporotic fractures is rising in many countries, due to the increased longevity of the population. In Europe, the annual cost of all osteoporotic fractures has been estimated to be 30 billion of Euros. In this paper, after an overview of the socioeconomic impact of osteoporosis in the world and in Italy, with particular focus on Apulia region, the most important techniques used to assess the fracture risk are briefly described. Moreover, the most commonly used pharmacological agents for the treatment of osteoporosis are reported. The aim of this review is to analyze the main factors causing the huge impact of osteoporosis on healthcare system, in terms of diagnosis and therapies, and to illustrate recent advances for treatment and prevention of this “silent disease”.
Effectiveness of GSP-Aided Instruction
Authors: Tai Chin-Hsiu , Leou Shian , Hung Jeng-Fung
Published: April 2015

The objective of this study was to determine the effectiveness of the Geometer's Sketchpad (GSP) in teaching the area of triangles to elementary students. The authors adopted a pretest-posttest research design with 2 equivalent groups. The subjects of the experiment comprised fifth-grade students from an elementary school in Pingtung County, divided into an experimental group of 26 students and a control group of 25 students. Both groups attended six 40-min lessons over a month, with the experimental group receiving GSP-aided instruction and the control group receiving traditional lecture instruction. The authors revised the test instrument based on , and the instrument was further reviewed and revised by experts. They conducted a third revision of the contents after performing a pilot test. The difficulty index of the test ranged between 0.18 and 1, and the discrimination index ranged between 0.13 and 0.88. The split-half reliability of the test was 0.8723. The results revealed the following: (a) in learning the area of triangles, the experimental group performed significantly better than the control group; (b) the results of the formative assessments indicated a superior performance in the experimental group compared with the control group in all of the lessons, with the exception of the second lesson; and (c) the male and female students in the experimental group and the control group exhibited no significant differences. Based on these results, the authors suggest that students be offered the opportunity to use concrete teaching aids or computer simulations when learning the area of triangles.
Vignettes of Pedagogical Practices with iPads
Authors: Wright Noeline
Published: April 2015

This paper, describes vignettes of three different secondary school subject teachers' practices as they work with iPads shared across three specific junior classes. The paper demonstrates that counter to the accepted doxa that mobile devices transform pedagogy, they actually help reinforce current practices. The vignettes, inspired by framework where she showcases teachers' practices, illustrate emerging findings about individual teacher's pedagogical practices as their classes use both wifi and iPads. The findings suggest that these pedagogical practices are not necessarily altered, let alone transformed, by the use of mobile devices for learning.
Maximizing the Percentage of On-Time Jobs with Sequence Dependent Deteriorating Process Times
Authors: Ruiz-Torres Alex J. , Paletta Giuseppe , Perez-Roman Eduardo
Published: April 2015

The paper addresses the problem of maximizing the percentage of on-time jobs in a parallel machine environment with sequence dependent deterioration. The deterioration of each machine (and therefore of the job processing times) is a function of the sequence of jobs that have been processed by the machine. Two machine loading strategies are combined with a set of list scheduling algorithms to solve the identical and unrelated machine versions of the problem. The proposed solutions approaches are tested using a large set of problem instances that consider various levels of the number of jobs and machines, the due date tightness, and the deterioration effect. The results indicate that the approach based on loading considering all machines simultaneously and assigns jobs by due date is the most effective.
A Novel Approach for Analyzing Single Buffer Queueing Systems with State-Dependent Vacation and Correlated Input Process under Four Different Service Disciplines
Authors: Lee Thomas Yew Sing
Published: April 2015

The author presents performance analysis of a single buffer multiple-queue system. Four different types of service disciplines (i.e., non-preemptive, pre-emptive repeat different, state dependent random polling and globally gated) are analyzed. His model includes correlated input process and three different types of non-productive time (i.e., switchover, vacation and idle time). Special cases of the model includes server with mixed multiple and single vacations, stopping server with delayed vacation and stopping server with alternating vacation and idle time. For each of the four service disciplines the key performance measures such as average customer waiting time, loss probability, and throughput are computed. The results permit a detailed discussion of how these performance measures depends on the customer arrival rate, the customer service time, the switchover time, the vacation time, and the idle time. Moreover, extensive numerical results are presented and the four service disciplines are compared with respect to the performance measure. Previous studies of the single buffer multiple-queue systems tend to provide separate analysis for the two cases of zero and nonzero switchover time. The author is able to provide a unified analysis for the two cases. His results generalize and improve a number of known results on single buffer multiple-queue systems. Furthermore, this method does not require differentiation while it is needed if one uses the probability generating function approach. Lastly, the author's approach works for all single buffer multiple-queue systems in which the next queue to be served is determines solely on the basis of the occupancy states at the end of the cycle time.
A Follow up to Semi-Automatic Systems for Exchanging Health Information
Authors: Emmanouil Dimitrios , Mourtzikou Antonia
Published: April 2015

The present research is an attempt to explore the applicability of the best possible service in the area of organized health care services, at fixed predefined points of service. The suggestion is that there should be a system that will receive and provide information about health matters of general public concern. Thus following the lead of Citizen Service Centers in Greece, it can be extended conveniently to mobile devices. The main survey was conducted on a sample of Municipalities and Citizens in the year 2013. The results indicate that the new proposed system could be more secure for citizens for future use, based on supervising procedure by proper employee who will provide more help to the users, instead of a fully automatic system.
Software Defect Prediction Based on GUHA Data Mining Procedure and Multi-Objective Pareto Efficient Rule Selection
Authors: Mishra Bharavi , Shukla K.K.
Published: April 2015

Software defect prediction, if is effective, enables the developers to distribute their testing efforts efficiently and let them focus on defect prone modules. It would be very resource consuming to test all the modules while the defect lies in fraction of modules. Information about fault-proneness of classes and methods can be used to develop new strategies which can help mitigate the overall development cost and increase the customer satisfaction. Several machine learning strategies have been used in recent past to identify defective modules. These models are built using publicly available historical software defect data sets. Most of the proposed techniques are not able to deal with the class imbalance problem efficiently. Therefore, it is necessary to develop a prediction model which consists of small simple and comprehensible rules. Considering these facts, in this paper, the authors propose a novel defect prediction approach named GUHA based Classification Association Rule Mining algorithm (G-CARM) where “GUHA” stands for General Unary Hypothesis Automaton. G-CARM approach is primarily based on Classification Association Rule Mining, and deploys a two stage process involving attribute discretization, and rule generation using GUHA. GUHA is oldest yet very powerful method of pattern mining. The basic idea of GUHA procedure is to mine the interesting attribute patterns that indicate defect proneness. The new method has been compared against five other models reported in recent literature viz. Naive Bayes, Support Vector Machine, RIPPER, J48 and Nearest Neighbour classifier by using several measures, including AUC and probability of detection. The experimental results indicate that the prediction performance of G-CARM approach is better than other prediction approaches. The authors' approach achieved 76% mean recall and 83% mean precision for defective modules and 93% mean recall and 83% mean precision for non-defective modules on CM1, KC1, KC2 and Eclipse data sets. Further defect rule generation process often generates a large number of rules which require considerable efforts while using these rules as a defect predictor, hence, a rule sub-set selection process is also proposed to select best set of rules according to the requirements. Evolution criteria for defect prediction like sensitivity, specificity, precision often compete against each other. It is therefore, important to use multi-objective optimization algorithms for selecting prediction rules. In this paper the authors report prediction rules that are Pareto efficient in the sense that no further improvements in the rule set is possible without sacrificing some performance criteria. Non-Dominated Sorting Genetic Algorithm has been used to find Pareto front and defect prediction rules.
Route-Planning Algorithms for Amusement-Park Navigation
Authors: Ohwada Hayato , Okada Masato , Kanamori Katsutoshi
Published: April 2015

This paper describes route-planning algorithms for navigation in amusement parks (e.g. Disneyland). Unlike conventional shortest-path-finding used for traveling salesman problems, the authors provide several algorithms that consider waiting time estimates in real time, exploit the reservation facilities of an attraction such as Fastpass in Disneyland, and balance a series of enjoyment types such as excitement or relaxation. These features make the new shortest-path algorithms more flexible and dynamic for supporting the cognitive aspects of enjoyment. The authors developed a navigation tool as a Web application in which users select their attractions of interest and the application suggests reasonable and enjoyable routes. An experiment was conducted to demonstrate the performance of this application, focusing on well-known attractions in Tokyo Disneyland.