Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Insulin on Serum Levels of Apo A-I Containing Lipoprotein Particles in Syndrome X Patients With Coronary Heart Disease

Syndrome X consists of low serum high density lipoprotein-cholesterol (HDL-C), raised serum triglyceride, glucose intolerance, increased blood pressure, abdominal obesity and insulin resistance which is associated with increased risk of coronary heart disease (CHD). Apolipoprotein (apo) A-I containing lipoprotein particles, lipoprotein A-I (Lp A-I) and lipoprotein A-I:A- II (Lp A-I:A-II.) may have different metabolic functions. The purpose of this study was to evaluate the relationship between insulin and apo A-I containing lipoproteins in syndrome X patients with or without CHD. We selected 38 male patients with syndrome X and divided into two groups: The one with CHD (n=21) and the other without CHD (n=17). Third group including 22 normal male subjects was the control group. We measured fasting blood glucose, cholesterol, triglyceride, low density lipoprotein- cholesterol (LDL-C), HDL-C, apo A-I, apo B, Lp A-I, Lp A-I:A-II and insulin, and 2-h glucose and insulin levels after a 75 g oral glucose tolerance test in all subjects. In both syndrome X groups, serum levels of triglyceride, apo B, fasting glucose and insulin, and 2-h glucose and insulin were significantly increased (p<0.01 for fasting insulin, p<0.001 for others) in comparison with the control group, whereas HDL-C, apo A-I and Lp A-I concentrations were significantly lower (p<0.001 for all). However Lp A-I:A-II levels were not different between three groups. Syndrome X group with CHD had significantly higher 2-h and fasting insulin levels than syndrome X group without CHD (p<0.02). Lp A-I and Lp A-I:A- II levels were correlated inversely with triglyceride, fasting and 2-h insulin levels (varying degrees between p<0.05 and p<0.001) only in syndrome X group with CHD. These results suggest that (1), low HDL-C levels observed in syndrome X patients could be attributed to only decreased Lp A-I concentration; (2), the serum levels of apo A-I containing lipoproteins can be effected by insulin; (3), the greater insulin levels observed in syndrome X patients with CHD may be responsible in part for increased risk of CHD.
Distributed Sensor Data Models and Their Impact on Energy Consumption of Wireless Sensor Networks

Keywords: Wireless Sensor Network ; energy efficiency ; sensor data model ; distributed processing ; automatic generation of distributed code ; TinyOS ; IMPERIA These Ecole polytechnique federale de Lausanne EPFL, n° 5364 (2013)Programme doctoral Informatique, Communications et InformationFaculte informatique et communicationsInstitut d'informatique fondamentaleLaboratoire de systemes d'information repartisJury: M. Grossglauser (president), J. Beutel, P.R. Chevillat, P.J.M. Havinga Public defense: 2013-2-18 Reference doi:10.5075/epfl-thesis-5364Print copy in library catalog Record created on 2012-12-24, modified on 2017-05-12
Photo Documentation Image Quality Scoring System in the Evaluation of Female Genital Injuries Following Sexual Assault

The sexual assault nurse examiner (SANE) not only evaluates and treats injuries following sexual assault but also notes injuries on preprinted traumagrams and in forensic photographs. Forensic photographic images are used by interprofessional teams to evaluate and improve the quality of SANE practice. However, there is no tool to rate the quality or utility of a forensic photographic image. The Photo Documentation Image Quality Scoring System (PDIQSS; Ernst) was developed to evaluate the quality of photographic evidence using images of female genital injuries following sexual assault. The purpose of the study was to (1) develop a scoring system to rate actual images from sexual assault case with female genital injuries and (2) establish face and content validity as well as preliminary reliability of the PDIQSS, a quality scoring system for photographic images. When reviewing forensic photography for quality improvement and peer review, the PDIQSS tool is valuable in standardizing the scoring of image quality in photographs between and among providers.
Semiotics of art reception: In between semiotic translation and synesthetic response

Humans — and artists — are capable of complex semiotic and experiential translations: we can translate reality, be it nature or culture, into an experience of sound, image, touch, smell, mime, emotion. We speak about ‘semiotic’ translation when we translate artistic work into another semiotic medium, when we translate the outer conditions of the experience — e.g. translating a novel into a movie, a painting into a song, a performance into a narrative. But before experiencing semiotic translation, humans experience ‘synesthetic’ translation, moving beyond different possibilities of inner responses towards an artistic setting: for example by way of feeling, smelling, or hearing what can be seen. One holistic perception of artistic expression can be transposed into different modes, each one enriching the other. Both translations originate in the human possibilities of multimodal experience (e.g. blending theory of Turner and Fauconnier), cognitive fluidity (Mythen 1998) — both theories referring to complex neurological responses. Since long, semiotics has analyzed translation on the level of the sign or sign system, neglecting the (neurological) origins/counterparts of these processes. This presentation will consider the importance of the human synesthetic possibilities and integrate these into a broader account of semiotic theory (Kress 1998, p76). It will analyse the complex experience of an artistic manifestation realized by way of an ‘outer’ and an ‘inner’ semiotic translation: at one hand an ‘outer’ complex comprehension which encompasses memory, cultural and aesthetic conventions, personal narratives, knowledge and expectations (Zeki & Lamb 1994), at the other hand the ‘inner’, rich synesthetic and multimodal cognitive and kinesthetic responses in body and brain acknowledged by recent neuropsychological and cognitive research (Spence 2001, Edelman & Tononi 2000, Thibault 2004).
The Understanding of Convolutional Neuron Network Family

Along with the development of the computing speed and Artificial Intelligence, more and more jobs have been done by computers. Convolutional Neural Network (CNN) is one of the most popular algorithms in the field of Deep Learning. It is mainly used in computer identification, especially in voice, text recognition and other aspects of the application. CNNs have been developed for decades. In theory, Convolutional Neural Network has gradually become more mature. However, in practical applications, it is limited by various conditions. This paper will introduce the course of Convolutional Neural Network’s development today, as well as the current more mature and popular architecture and related applications of it, to help readers have more macro and comprehensive understanding of Convolutional Neural Networks.
Cryptographic Protocol Verication via Supercompilation

It has been known for a while [35, 36, 12] that program transformation techniques, in particular, program specialization, can be used to prove the properties of programs automatically. For example, if a program actually implements (in a given context of use) a constant function suciently powerful and semantics preserving program transformation may reduce the program to a syntactically trivial \constant" program, pruning unreachable branches and proving thereby the property. Viability of such an approach to verication has been demonstrated in previous works [16, 19, 18] where it was applied to the verication of parameterized cache coherence protocols and Petri Nets models [11, 20]. In this paper we further extend the method and present a case study on its application to the verication of a cryptographic protocol. The protocol is modeled by functional programs at dierent levels of abstraction and verication via program specialization is done by using Turchin’s supercompilation method.
Correcting Measurement Errors in Transition Models Based on Retrospective Panel Data

We propose in this paper a dynamic n-state transition model to correct for measurement error, that could arise for example from recall and/or design bias, in retrospective panels. Our model allows the correction of measurement errors, when very little auxiliary information is available, over a long period of time taking into consideration the conjuncture fluctuations. The technique suggested shows that it is sufficient to have population moments (for at least one point in time) to correct over- or under-reporting biases. Using a Simulated Method of Moments, one can estimate a transition- and time-specific correction matrix for the labor market flows in a biased retrospective panel. Using retrospective and contemporaneous data from Egypt, we estimate the model and show the significance and robustness of our correction. We show through a reform evaluation that neglecting measurement error in the data would have produced significantly different and misleading results.
High speed detection of fundus optical disc

In this paper a fast method has been proposed for the detection of optical disc in retinal fundus image using mean intensity values, to be used in retinal image based person authentication system. The proposed method uses pixel intensity in green channel of RGB image and candidate based approach to detect optical disc location. Proposed system has been successfully tested on DRIVE, MESSIDOR, VARIA, VICAVR and DIARETDB_01 publicly available standard databases and produced 97.5%, 97.8%, 94%, 93.1% and 86.5% accuracy respectively.
EXAMINING CHRONIC NON-CANCER PAIN AMONG A SAMPLE OF INDIVIDUALS IN OPIOID TREATMENT PROGRAMS

OF DISSERTATION EXAMINING CHRONIC NON-CANCER PAIN AMONG A SAMPLE OF INDIVIDUALS IN OPIOID TREATMENT PROGRAMS National rates of chronic non-cancer pain (CNCP) are rising alongside increasing reports of prescription opioid abuse and mortality. Associations between the rise in CNCP and in opioid abuse seem logical, yet research on CNCP among individuals with opioid dependence is currently limited due to the complicated nature of comorbid conditions in research and treatment. This study aims to expand the CNCP knowledge base by responding to the question: Do individuals with CNCP participating in an opiate treatment program have better or worse treatment outcomes than individuals without CNCP? This study used a secondary dataset including 483 adults from Kentucky’s Opiate Recovery Treatment Outcome Study. Individuals in the sample met DSM-IV-TR criteria for opioid dependence and were in treatment at a licensed opiate treatment program (OTP). Analysis compared cases with and without CNCP on national treatment outcome measures including substance use, recovery support, education, employment, mental health symptoms, and criminal justice system involvement. Results indicated no differences at follow-up between the CNCP (n=163) and non-CNCP (n=320) individuals on substance abstinence, recovery supports, education level, or criminal justice system involvement. At baseline and follow-up there were more unemployed individuals and individuals receiving disability benefits in the CNCP group than the non-CNCP group. Reported anxiety and depression symptoms increased at follow-up, while use of prescription medicine for mental health symptoms declined for both groups (non-significant differences). The only predictors for CNCP cases in this sample were tobacco use and presence of a chronic medical condition. Recommendations include expansion of smoking cessation programs in substance abuse treatment settings. Future research might examine integrated treatment and medical home health models to better address biopsychosocial components of clients with comorbid conditions like opioid dependence and CNCP.
Safety and Efficacy of Radioimmunotherapy with 90Yttrium-rituximab in Patients with Relapsed CD20+ B cell Lymphoma: A Feasibility Study

Purpose: Both anti-CD20 antibodies (ibritumomab; ZEVALIN® and tositumomab; BEXXAR®) currently used for radioimmunotherapy of B cell non-Hodgkin's lymphoma are murine immunoglobulins. The aim of this feasibility study was to evaluate the safety and efficacy of radioimmunotherapy with a human chimeric anti-CD20 antibody labelled with Yttrium-90 ( 90 Y-rituximab) in patients with B cell lymphoma. Methods: Patients with CD20+ B-cell lymphoma in partial remission or with progressive disease after at least one line of therapy were included. 90 Y-rituximab was administered according to a similar schedule as currently approved by the European Medicines Agency for the treatment with 90 Y-ibritumomab tiuxetan (ZEVALIN ® ): a first infusion of rituximab 250 mg/m² is repeated one week later and directly followed by the injection of 90Y-rituximab (14,8 MBq/kg). 18 FDG-PET/CT was performed before treatment and repeated 3 months after for response assessment. Results: Twenty-six patients were treated with 90 Y-rituximab. Disease histologies included mainly follicular lymphomas (53%). Toxicity was primarily haematological. The incidence of grade 3-4 neutropenia, thrombocytopenia and anemia were 34%, 38%, and 8% respectively, with spontaneous recovery in all but one patient that needed autologous stem cell transplant for refractory thrombocytopenia. Among the relevant long-term side effects, one patient developed secondary myelodysplasia 2 years after the treatment. The overall response rate was 88% (95% CI: 70%-98%), including 65% complete metabolic responses and 23% partial metabolic responses. After a median follow-up of 29.6 months, the Kaplan-Meier estimated median progression-free survival was 9.1 months (95% CI 6.1-17.9). Median time to next treatment was 24 months (95% CI: 12.8-28).
Korean Semantic Role Labeling Using Structured SVM

Semantic role labeling (SRL) systems determine the semantic role labels of the arguments of predicates in natural language text. An SRL system usually needs to perform four tasks in sequence: Predicate Identification (PI), Predicate Classification (PC), Argument Identification (AI), and Argument Classification (AC). In this paper, we use the Korean Propbank to develop our Korean semantic role labeling system. We describe our Korean semantic role labeling system that uses sequence labeling with structured Support Vector Machine (SVM). The results of our experiments on the Korean Propbank dataset reveal that our method obtains a 97.13% F1 score on Predicate Identification and Classification (PIC), and a 76.96% F1 score on Argument Identification and Classification (AIC).
Ontology based Semantic Web Technologies in E-learning Environment using Protégé

The rapid advanced development of mobile phone usage has been increased very sharply. A semantic web is major concept about creation of Meta data. Most of the web page oriented application like HTML and XML uses the concept of Meta data. This paper proposes class concept hierarchy method for implementing and retrieving information about e-learning domain through PROTEGE tools and also shows RDFS and OWL based samples method implementation for e-learning domains in these tools. It produced the result like number of course material prepared by tutor, total number of student registration and number of exam, quiz, assignment conducted by particular tutor using SPARQL query language.
Web-based lecture technologies and learning and teaching: a study of change in four Australian universities

The uptake of web-based lecture technologies for recording and delivering live lectures has increased markedly in recent years. Students have responded positively, and for many their use has transformed learning – freeing them up from rigid timetables by providing choice in lecture attendance and supporting learning by extending the lecture experience and enabling them to revisit key concepts and ideas in their own time. Less transformational has been the impact on teaching. Although changing attendance patterns and disquiet about the quality of learning are of concern to many, lecturers have largely responded by simply modifying lectures. For most, the challenges of catering for the learning needs of a cohort with variable lecture attendance have not been addressed at a whole of the curriculum level. The technologies have been added on, rather than integrated into the curriculum. This paper will review the changes taking place in learning and teaching, explore the reluctance to embrace more wholesale change to the curriculum, and discuss the implications for institutions in the face of ongoing change.
Proceedings of interactive meet on harmonisation of drug proving programme

An interactive meet for harmonisation of drug proving programme of the CCRH was held on 17 September 2013 with an objective to exchange information on standards and methods of proving in the USA, Europe and India and promote international collaboration and harmonisation of drug proving protocol. The Council is in the process of revising its drug proving protocol based on the deliberations of the meet.
Knowledge-Based Approaches to the Segmentation of Oral History Interviews

This paper applies discourse knowledge to the segmentation of speech transcripts. The paper reviews literature on discourse structure, as well as approaches used in text segmentation and speech segmentation, identifies what features are used and how the features are combined in these approaches. After reviewing the literature, a three-part study is conducted to answer the following three research questions: • Are discourse-markers indicators of segment boundaries in oral history interviews? • Are questions good indicators of segment boundaries? Could questions be used as segment boundary or segment continuation indicators? • Do the discourse structures proposed by Labov and Waletzky (1967, 1997) and Stein and Glenn (1979) hold for oral history interviews? How could this knowledge be used in automatic segmentation? Methodology, results and analysis of each part of the study are described. Major findings include trends in segmentation and answers to these questions. Limitation of the study is discussed. The paper also suggests future research topic relates to segmentation and discourse analysis. Pengyi Zhang Segmentation of Oral History Interviews 3
More! a social discovery tool for researchers

Science 2.0 is the result of Web 2.0 tools and trends influencing the research area. In this paper, we focus on a scenario where a researcher is interested in the topic and speaker at a conference: finding more information about them is far from instantaneous. Thus, we identified a need to not only find speaker and paper information during the presentation, but also to subscribe to feeds that keep the attendee informed about ongoing work from the speaker. This work presents the development of a mobile application that groups all the relevant information of a speaker in a way that can be easily exposed and integrated in the normal workflow of the audience. The result is a frictionless blending of the face-to-face event that a conference or workshop presentation represents with the rich interaction and alerting services that a web2.0 environment provides.
DIRECT NUMERICAL AND LARGE-EDDY SIMULATIONS OF TURBULENT FREE- SURFACE FLOWS

Direct numerical simulations and large-eddy simulations of free- surface turbulence are performed to investigate the turbulent structure near the free surface, the roughening of the surface, and the dissipation and scattering of waves by turbulence. Recent laboratory measurements that show tendency of two-dimensional turbulence at the free surface are not supported by these numerical simulations. In the absence of waves, the surface disturbance (surface roughness) is directly proportional to the component of the pressure that is induced by the vortical portion of the subsurface flow. Simple formulas for predicting surface roughness, which include the effects of hydrostatics and capillarity, are provided. The scattering and dissipation rates of wave energy due to turbulence are the same order as laminar dissipation for a 5cm gravity-capillary wave at a moderate Froude number. Turbulent scattering and dissipation are dominated by the effects of parasitic capillary waves and surfactants. In the far wake of a ship the effects of turbulent scattering and dissipation are minimal.
Behavior Analysis of Malware by Rewriting-based Abstraction - Extended Version

We propose a formal approach for the detection of high-level program behaviors. These behaviors, defined as combinations of patterns in a signature, are detected by model-checking on abstracted forms of program traces. Our approach works on unbounded sets of traces, which makes our technique useful not only for dynamic analysis, considering one trace at a time, but also for static analysis, considering a set of traces inferred from a control flow graph. Our technique uses a rewriting-based abstraction mechanism, producing a high-level representation of the program behavior, independent of the program implementation. It allows us to handle similar behaviors in a generic way and thus to be robust with respect to variants. Successfully applied to malware detection, our approach allows us in particular to model and detect information leak.
Product Data Management and Software Configuration Management - Similarities and Differences

Preface This report has been written by support of The Association of Swedish Engineering Industries (Sveriges Verkstadsindustrier, VI). The questions the report is trying to answer have been formulated by the 'Teknikråd 12', and of the steering committee for the study. The study has been sponsored by The Association of The Swedish Engineering Industries. The study was performed from October 2000 until September 2001 by a working team and a steering committee. The report is based on interviews from persons from the industry, study of scientific and industrial literature, discussions with vendors and consultancy firms of PDM systems, discussions with researchers in the SCM and PDM area, study of literature in the areas, and experiences from the steering committee and the authors.
Design and control of an integrated haptic interface for touch screen applications

Le manque de retour tactile est un probleme important pour les ecrans tactiles actuels. Sans retour tactile, les utilisateurs doivent compter sur leur sens visuel pour interagir avec les ecrans. En consequence, les performances en interaction des utilisateurs sont deteriorees et la charge de travail visuel est tres importante. Cette these presente la conception et l’evaluation d’un dispositif a retours de force et tactile pour ameliorer l’interaction avec les ecrans. Le dispositif est compose d’un retour d’effort a câbles et d’un retour tactile base sur l’effet « squeeze film ». Le systeme a câbles comporte 4 câbles pour appliquer des efforts sur un ou deux doigts, grâce au controle de la tension des câbles. Il peut fournir du retour d’effort a l’utilisateur lorsque celui-ci attrape un objet virtuel et interagit avec d’autres objets. Le systeme a retour tactile est base sur la reduction controlee du frottement d’une surface par effet « squeeze film ». Nous en proposons une modelisation analytique pour estimer la consommation energetique ; nous avons utilise ce modele pour concevoir un stimulateur tactile large (198mm x 138mm) equipe de peu de piezo-ceramiques pour sa mise en vibration, afin de diminuer la consommation. Ces deux systemes peuvent etre utilises separement et aussi de facon couplee pour fournir les deux retours simultanement lorsque l’utilisateur touche une surface. Le systeme haptique complet a ete evalue sur la simulation d’une frontiere. Par comparaison avec la configuration habituelle (retour d’effort seul), le dispositif haptique complet permet une amelioration de la stimulation en laissant percevoir la frontiere de facon plus raide et plus nette.