Miracle-dz/UniFAR-FTUs huggingface dataset:
Arnold : the education of a bodybuilder

Five-time Mr. Universe, seven-time Mr. Olympia, and Mr. World, Arnold Schwarzenegger is "the" name in bodybuilding. Here is his classic bestselling autobiography, which explains how the Austrian Oak came to the sport of bodybuilding and aspired to be the star he has become. "I still remember that first visit to the bodybuilding gym. I had never seen anyone lifting weights before. Those guys were huge and brutal . The weight lifters shone with sweat; they were powerful looking, Herculean. And there it was before me my life, the answer I'd been seeking. It clicked. It was something I suddenly just seemed to reach out and find, as if I'd been crossing a suspended bridge and finally stepped off onto solid ground. " Arnold shares his fitness and training secrets demonstrating with a comprehensive step-by-step program and dietary hints how to use bodybuilding for better health. His program includes a special four-day regimen of specific exercises to develop individual muscle groups each exercise illustrated with photos of Arnold in action. For fans and would-be bodybuilders, this is Arnold in his own words. "
Learning strategies applied by the students in writing English text

This study is aimed at verifying the finding of a study on what learning strategies applied by the students in writing text and the impact of learning strategies toward the students’ writing score. This is a qualitative descriptive study, and it is conducted at Communication Science Department of the Muhammadiyah University of Ponorogo. The instruments used to collect the data were observation, documentations, and questionnaire. After analyzing the data, it is found that the learning strategies used by the students in writing English text are metacognitive strategies, compensation strategies, cognitive strategies, affective strategies, memory strategies, and social strategies. The students use learning strategies in moderate level which means they sometimes use these learning strategies. Moreover, learning strategies influence the students’ writing score; the students who get good score use metacognitive strategies and the students who get fair score use affective strategies.
Synthesis and Animation of Dynamic Hand Gestures for Sign Language Generation

In this paper, we present a method for synthesizing hand gestures with the help of computer, which may enable a normal person to convey a message to a hearing impaired person more easily without any knowledge of sign language. The proposed technique requires training the system before its operation. Training involves the extraction of a quantitative description for every sign in the dictionary from a typical gesture sequence representing the sign. The process includes the calculation of hand parameters, like the position of fingers, the location of metacarpophalangeal joints of fingers, and the bent angles of the fingers, for every pose in a gesture sequence. Once trained, the system is now ready for gesture synthesis during which a desired sign is created by animating the corresponding gesture sequence using the information obtained in training. In our experiments, we create gesture animation with hand pose exactly same as the real gesture thereby demonstrating the efficiency of the proposed system.
SAT0451 Disease course patterns in systemic lupus erythematosus

Background Previous studies described three patterns of disease activity over time in systemic lupus erythematosus (SLE), namely long quiescent, relapsing remitting and persistently active. However, they enrolled prevalent patients, many of whom in the late stages of the disease. As such, the patterns of disease course since diagnosis are not known. Objectives The aim of the present study was to assess the prevalence and characteristics of such patterns over 10 years of follow-up in an inception cohort. Methods The inception patients of a large lupus cohort (enrolled within 18 months of diagnosis, n=883), with at least 10 years of follow-up and no time interval >18 months between consecutive visits, were investigated. Monophasic (M) pattern was defined as a clinical SLEDAI-2K=0 [serology (anti-dsDNA antibodies and C3/C4 levels) excluded], achieved within five years since enrollment and maintained for ≥10 years after that. Relapsing-remitting (RR) pattern was defined based on ≥2 remission periods (a remission period equals two consecutive visits with a clinical SLEDAI-2K=0), while patients with no remission were categorised as persistently active (PA). Descriptive and regression analyses were used to compare the different groups regarding cumulative damage at 10 years, mortality and flare rate beyond 10 years. Results Of 267 patients who fulfilled the inclusion criteria, 27 (10.1%) were monophasics, 180 (67.4%) RR and 25 (9.4%) PA. Thirty-five patients (13.1%) had only one remission period (“hybrid”). There were no significant differences regarding the demographic, clinical, immunological and therapeutic characteristics among groups at enrollment. At 10 years, PA patients had received significantly more glucocorticosteroids [39.4±24.3 g vs. 16.6±10.7 g and 27.3±18.4 g for the M and RR groups, p<0.001] and accumulated significantly more damage [SLICC/DI=2.36±1.6 vs. 0.93±1.07 and 1.22±1.33, respectively, p<0.001]. A trend for higher mortality was observed in the PA patients [24% vs. 13.3% and 11.1% for the RR and M patients respectively, p=0.22] whereas death occurred earlier [18.4±4.4 vs. 20.1±7.2 and 24±4.1 years, p=0.11]. Beyond 10 years, the annual flare rate was higher for the PA and RR patients as compared to the monophasics [0.50±0.40 vs. 0.47±0.57 vs. 0.10±0.18 respectively, p<0.001]. Multinomial regression analysis for group membership showed Black race [OR=2.78, 95%CI=1.05–7.31, p=0.039] and higher adjusted mean SLEDAI-2K over the first two years [OR=1.21, 95%CI=1.11–1.32, p<0.0001] to be associated with a more severe disease course. Conclusions Approximately 70% of lupus patients followed a relapsing remitting course from diagnosis onwards, while 10% displayed a monophasic and another 10% a persistently active course. Black race and more severe disease over the first two years were associated with a worse disease course. Disclosure of Interest K. Tselios: None declared, D. Gladman: None declared, Z. Touma: None declared, J. Su: None declared, N. Anderson: None declared, M. Urowitz Consultant for: Consultant GlaxoSmithKline
Neural networks in face recognition for juridical communication process

Automatic Juridical Communication Recognition (AJCR) is presented as a system for juridical communication recognition based on artificial neural networks (ANN). The whole system is implemented on a signal processor. Signal preprocessing is ensured, mainly by its Fourier transform, after which features obtained classifiers are applied to neuron architecture in corelation with subject and juridical juridicals.
Data Mining for Information Professionals

Data mining or knowledge discovery refers to the process of finding interesting information in large repositories of data. The term data mining also refers to the step in the knowledge discovery process in which special algorithms are employed in hopes of identifying interesting patterns in the data. These interesting patterns are then analyzed yielding knowledge. The desired outcome of data mining activities is to discover knowledge that is not explicit in the data, and to put that knowledge to use. Librarians involved in digital libraries are already benefiting from data mining techniques as they explore ways to automatically classify information and explore new approaches for subject clustering (MetaCombine Project). As the field grows, new applications for libraries are likely to evolve and it will be important for library administrators to have a basic understanding of the technology. A wide variety of data mining techniques are also employed by industry and government. Many of these activities pose threats to personal privacy. As professionals ethically bound to ensure that individual privacy is safe-guarded, data mining activities should be monitored and kept on every librarian’s radar. This paper is written for information professionals who would like a better understanding of knowledge discovery and data mining techniques. It explains the historical development of this new discipline, explains specific data mining methods, and concludes that future development should focus on developing tools and techniques that yield useful knowledge without invading individual privacy.
The Fight over Food: Producers, Consumers and Activists Challenge the Global Food System by Wynne Wright and Gerad Middendorf (eds)

been “translated into some dozen languages” (111) – begs further questions, such as, “what did Learning from Las Vegas mean and how was it received beyond its North American context? ” Although not exhaustive, Relearning from Las Vegas and I Am A Monument provide stimulating reconsiderations of a classic text and moment that still resonate strongly today. Clearly we have not yet finished learning from Las Vegas, or from Venturi, Scott Brown, and Izenour.
Sensor e-textiles: person centered co-design for people with late stage dementia

Purpose – The purpose of this paper is to present design research investigating the development of sensory textiles with embedded electronics to support the wellbeing of people with late stage dementia in residential care. Design/methodology/approach – The research presented is qualitative and uses a mixed method approach informed by grounded practical theory and positive design methodologies. It uses an inclusive and participatory co-design process involving people with dementia and their families with an interdisciplinary team of experts. Findings – Both the co-design process and the artefacts developed have been beneficial in supporting wellbeing. The textile artefacts have been found to soothe, distract and comfort people with dementia. They have also been shown to facilitate in the moment conversational bridges between family members and carers with persons with dementia. Research limitations/implications – The findings are based on a small cohort of participants, observational reports and descriptiv.
Web News Multi-document Summarization Based on Event Extraction

State-of-the-art automatic summarization is based on text segment clustering to avoid redundancy defects in the traditional approaches.But some of the text segments in the web news are irrelevant to the subject,which affects the result of clustering and damages the conciseness of summarization.This paper introduces the event extraction technology and proposes an event extraction based web news multi-document summarization method.Firstly,the method distinguishes event and non-event from the news through a binary classifier.Then,the original documents' physical division based on paragraphs or sentences are transformed into event based content logical division through clustering.Finally,the summarization is derived from the extraction,taxis and embellishment of the major events.Experimental results demonstrate the effectiveness of the proposed method,which improves summarization quality significantly.
Travel Data Sequence from Multi-Source Recommendation System

Due to different sort of preferences and restrictions of a trip such as time source limitation and every tourist’s destination points the travel based recommendation has become a challenging task. Most importantly the data generated by the geo-tagged social channel from the geo based tag tweets, snapshots of credentials. Due to examining this, extended data allows us to invent the profiles, daily mobility patterns, and results of the user’s. To resolve the issues and challenges of capacity providing their personalized and sequential travel to make package recommendation to a topical package model and to take using social media info in which mechanically mine person travel interest with another quality like time, cost, and period of wayfaring. Here, we had a proposal that a travel data sequence after a multi source recommendation system. We implemented a location recommendation system that derives personal preferences while accounting for restraints irremissibly by road capacity in order to change the demand of travel. We first infer unobserved preferences using a machine learning technique from data mining records. It extends our method to provide personalized suggestions based on user geo co-ordinates points. By utilizing the tree based hierarchal graphs (TBHG), location histories of the multiple users’ have been modeled. In order to collect the selected places interest level and travel knowledge of user’s, the HITS model had developed based on TBHG. Finally, hybrid filtering approach based on HITS is utilized to get the global positioning system (GPS) based personalized recommendation system. And for image based search similar images with the tag information are retrieved for the query image users.
Alprazolam and Cognitive Behavior Therapy in Treatment of Panic Disorder

Panic is an often incapacitating and chronic disorder. Cognitive behaviour therapy (CBT) and alprazolam have been shown to be effective in the treatment of panic disorder. Patients who met the DSM-III-R criteria for panic disorder, were randomized and given 16 weeks of double-blind treatment with CBT (n=16), or alprazolam of up to 6 mg/day (n=18). The 17-item HAM-D and HAM-A scales were administered to all the subjects before and after treatment, which took place over 16 weeks, and the changes in the scores were analyzed. The patients' anxiety levels and numbers of panic attacks were assessed at the beginning of treatment, and then at weeks 4,8,12 and 16 by means of self-monitoring. On the basis of HAM-D, HAM-A, anxiety level, and panic number, the CBT and alprazolam groups showed a significant improvement at the end of treatment. When compared to each other, the groups showed no significant differences at the end of the treatment. In the last month, 10/16 (62.5%) of the CBT patients and 11/18 (61.1%) of the alprazolam patients were panic-free.
Wireless Energy Harvesting with Amplify-and-Forward Relaying and Link Adaptation under Imperfect Feedback Channel

Energy harvesting is an alternative approach to extend the lifetime of wireless communications and decrease energy consumption, which results in fewer carbon emissions from wireless networks. In this study, adaptive modulation with EH relay is proposed. A power splitting mechanism for EH relay is used. The relay harvests energy from the source and forwards the information to the destination. A genetic algorithm (GA) is applied for the optimisation of the power splitting ratio at the relays. Two scenarios are considered namely, perfect and imperfect feedback channels. Results show that the spectral efficiency (SE) degradation, which is due to an imperfect feedback channel, was approximately 14% for conventional relays. The use of energy harvesting results in a degradation in the performance of SE of approximately 19% in case of a perfect feedback channel. Finally, an increase in the number of energy harvesting relays enhances the SE by 22%.
Heroic Leadership: An Influence Taxonomy of 100 Exceptional Individuals

Series Foreword by Georgia Sorenson & Ronald E. Riggio 1. Introduction 2. Trending Heroes 3. Transitory Heroes 4. Transitional Heroes 5. Tragic Heroes 6. Transposed Heroes 7. Transparent Heroes 8. Traditional Heroes 9. Transfigured Heroes 10. Transforming Heroes 11. Transcendent Heroes 12. Conclusion
Enterprise architectonics as a conceptual device to support a fundamental understanding of enterprise architecture

iii DEDICATION . iv PREFACE . v ACKNOWLEDGEMENTS . vi STATEMENT OF ORIGINALITY . viii TABLE OF CONTENTS . ix LIST OF FIGURES . xvii LIST OF TABLES . xx CHAPTER 1: INTRODUCTION . 1 1.
Working with Police to Help Children Exposed to Violence

Children's exposure to community and domestic violence is a major problem in OUT country. Exposure to violence can contribute to negative short- and longer-term outcomes for children that includes significant risk for later violent behavior. Prevention and intervention programs for children exposed to violence benefit from creative strategies and collaborations to identify and reach children earlier in order to prevent or reduce the risk. This article describes the development and implementation of the Violence Intervention Program for Children and Families, which represents a partnership with the New Orleans Police Department. It was designed. to raise awareness, provide training; identify children earlier after the trauma, and provide interventions and treatment services for traumatized children and families. Over the course of the 10 years of the program, the results of the education and collaboration showed increased sensitivity of police officers to traumatized children and greater success in early referrals for intervention and treatment. Raising awareness at local and national levels of the important preventive role that police-mental-health collaborations can play is a crucial component of the work. With recognition of the effects of trauma and appropriate interventions, it is possible to help children stay on track developmentally by supporting positive social and emotional development and preventing the risk of later violence.
Distributing Synchronous Programs on a Loosely Synchronous, Distributed Architecture

In this short note we discuss the distribution of synchronous programs on distributed, asynchronous architecture of the type preferred for embedded real-time control applications. In such architectures, no global clock is broadcast. Instead, the bus, as well as its users are triggered by local periodic clocks. To improve fault-tolerance and robust-ness, these clocks are not synchronized, neither physically nor logically. Therefore such an architecture has some (restricted) degree of asynchrony, we call it loosely synchronous. A typical example of such architecture is the osek protocol, used for embedded electronics in automotive industry. In this note we show how synchronous programs can be safely distributed on loosely synchronous architectures. The method described here may not be novel to some communities, but it aims at ensuring awareness of the community of engineers in the area of real-time, embedded control systems. Distribution de programmes synchrones sur une architecture mollement synchrone R esum e : Cette note pr esente une approche tr es simple pour la r epartition de programmes synchrones sur des architectures typiques des bus de terrain en automatique temps-r eel (un exemple connu est osek dans le domaine de l' electronique embarqu ee en automobile). De telles architectures peuvent ^ etre vues comme un bus dot e d'une horloge p eriodique. Les usagers du bus proc edent egalement a des acc es p eriodiques. Le point important est que 1/ toutes ces horloges sont purement locales et non synchronis ees, et 2/ rien ne doit ^ etre bloquant. Il s'agit donc d'architectures r eparties qui ne satisfont pas au mod ele des langages synchrones, car elle n'assure pas d'horloge logique globale. Nous qualiions ces architectures de mollement synchrones. Dans cette note, nous proposons donc une approche tr es simple pour r epartir, de mani ere correcte par construction, des programmes synchrones sur une architecture mollement syn-chrone.
Placement of Virtual Network Functions in Hybrid Data Center Networks

Hybrid data center networks (HDCNs), where each ToR switch is installed with a directional antenna, emerge as a candidate helping alleviate the over-subscription problem in traditional data centers. Meanwhile, as virtualization techniques develop rapidly, there is a trend that traditional network functions that are implemented in hardware will also be virtualized into virtual machines. However, how to place virtual network functions (VNFs) into data centers to meet the customer requirements in a hybrid data center network environment is a challenging problem. In this paper, we study the VNF placement in hybrid data center networks, and provide a joint VNF placement and antenna scheduling model. We further simplify it to a mixed integer programming (MIP) problem. Due to the hardness of a MIP problem, we develop a heuristic algorithm to solve it, and also give an on-line algorithm to meet the requirements from real-time scenarios. To the best of our knowledge, this is the first work concerning VNF placement in the context of HDCNs. Our extensive simulations demonstrate the effectiveness of the proposed algorithms, which make them a promising solution for VNF placement in HDCN environment.
Discovery and Validation for Composite Services on the Semantic Web

1 1 Why Service Discovery and Validation are needed? 3 1.1 Research Issues with Discovery and Validation . 5 1.2 Limitations of Existing Approaches . 7 1.3 Thesis Contributions . 9 Service Descriptions . 9 Service Discovery . 10 Service Validation . 11 1.4 Thesis Structure . 12 2 Composite Services on the Semantic Web 14 2.1 Web Services . 14 2.2 Service Descriptions . 16 2.2.1 Description Logic (DL) . 16 2.2.2 π-calculus . 17 2.2.3 Control Flow Patterns . 19 2.3 The Semantic Web and Ontologies . 23 2.3.1 Meta-Ontology . 24 2.3.2 Context Matching Technique . 28 2.4 Summary . 29 3 Creating Accurate Functional and Behavioural Descriptions 30 3.1 Motivation . 30 3.2 Interval Time Logic (ITL) . 35
Individual differences in the use of colloquial vocabulary: the effects of sociobiographical and psychological factors

The eleven chapters of Vocabulary in a Second Language are written by the world’s leading researchers in the field of vocabulary studies in second language acquisition. Each chapter presents experimental research leading to new conclusions about and insights into the selection, the learning and teaching, or the testing of vocabulary knowledge in foreign languages. This book is intended as an up-to-date overview of the important domain of the lexicon for researchers in the field of second language acquisition, teacher trainers and professional teachers of second or foreign languages.
Metabolic complications of HIV infection and its therapy in children

HIV infection has become a chronic disease in pediatric patients, with the potential for longer term survival and exposure to combination antiretroviral therapy for two decades longer than HIV-positive adults. However, body shape and metabolic abnormalities are frequently observed during antiretroviral therapy. These abnormalities have been poorly evaluated in HIV-infected children and their long-term consequences are not yet well assessed. This review summarizes our current understanding of the epidemiology, diagnosis and management of body shape abnormalities, dyslipidemia, disorders of glucose metabolism and vascular dysfunction in HIV-infected children and adolescents.
Inside Microsoft Windows 2000

From the Publisher: Windows 2000 is the next generation operating system platform that provides high availability, advanced scalability, and large memory support based on the Intel 64-bit chip with its extensive multiprocessing features, powerful floating-point arithmetic extensions, and multimedia-specific instructions. Windows 2000 is designed to address the most demanding business needs of today's Internet-based world including e-commerce, data mining, online transaction-processing, memory-intensive high-end graphics, complex mathematics, and high-performance multimedia applications.