Miracle-dz/UniFAR-FTUs huggingface dataset:
Michel Foucault, éthique et politique

On peut affirmer que, depuis deux siecles environ, les sciences sociales ont pose leur rapport a l’ethique d’une seule facon. Qu’elle ait seulement cherche a comprendre le monde ou qu’elle ait eu pour objectif de le transformer, la pratique de la science a toujours eu pour fondement un systeme de valeurs considere comme universel. L’ethique definit alors un certain usage de la connaissance et du savoir. Les travaux de Michel Foucault ont tente, et c’est l’hypothese que nous voulons defendre, de redefinir le rapport entre la politique et l’ethique. Le philosophe francais n’a pas cherche un autre fondement - plus universel - a la politique. D’ailleurs, en faisant cela, il n’aurait rien change d’essentiel a notre facon d’engager le combat politique. En fait, il montre qu’il n’y a pas a chercher de fondement ethique a la politique, mais que le travail ethique, du moins un certain travail ethique, est politique. Autrement dit, Foucault refuse de penser la politique dans les formes d’une morale, c’est-a-dire a partir d’une theorie politique donnee, d’un systeme de valeurs considere comme universel, et il fait de ce refus une condition a l’action politique.
Obstacle detection for a vehicle using optical flow

A novel approach to obstacle detection using optical flow without recovering range information has been developed. This method can be used for ground vehicles to navigate through man-made roadways or natural outdoor terrain or for air vehicles to land on known or unknown terrain. A linear relationship, plotted as a line and called a reference flow line, has been found. This reference flow line can be used to detect discrete obstacles above or below the reference terrain. Slopes of surface regions are also computed. The approach is simple, fast, and robust because: (1) the only required information is one component of the optical flow, (2) each image line can be processed in parallel, and (3) the error sources involved are reduced to a minimum. An initial experiment using noisy synthetic data is also included to demonstrate the applicability and robustness of the method. <<ETX>>
Width of The Third Ventricle as Assessed by Transcranial Sonography is Associated with Future Relapses in Mild Multiple Sclerosis

Background: The role of transcranial brain parenchyma sonography (TCS) is evolving. While hyperechogenicity of the substantia nigra as a marker of idiopathic Parkinson’s disease can be considered established, other parenchymal TCS findings need further evaluation. Among these, the width of the third ventricle might be relevant for patients with multiple sclerosis (MS). To explore its value, we performed an observational study of a cohort of mildly diseased MS patients over a period of 3 years with TCS examinations at study entry. Methods and findings: A total of 45 patients with relapsing-remitting MS [males, 12; females 33; at entry: mean age, 41 ± 10 years; mean disease duration, 6.7 ± 6.0 years; mean Expanded Disability Rating Scale (EDSS), 2.0 ± 1.32] under disease modifying therapy underwent at study entry an assessment of the 3rd ventricle width by means of TCS. Thereafter, regular clinical follow up was performed over 3 years. Normal 3rd ventricular width (mean 3.4 ± 0.80 mm) was generated from healthy volunteers (n=70, mean age 41 ± 15 years) at study entry. The mean ventricular width plus 1 SD of the controls was used for dichotomizing ventricular width. After 3 years, compared with patients with a ventricular width ≤4.2 mm, patients with a ventricular width >4.2 mm had suffered significantly more relapses [9/18 vs 5/27; odds ratio 4.4 (95% CI: 1.15–16.80); p<0.05]. Conclusion: In this cohort of mildly diseased MS patients, 3rd ventricular enlargement assessed by TCS was associated with relapse occurrence within 3 years.
Information Systems modelling from Flowcharts to process model

Business process modelling has always been at the core of both organizational design and information system. Business process modelling aims for the transformation of business perspective of enterprise into IT perspective, which require business process model of the possible set of business process operation of the enterprise. Business process model provides the comprehensive understanding of a process through which an enterprise can be analyzed and integrated, which necessitate the importance of modelling correctly. With the existence of variety of business process modelling language we have to perform the evaluation of various business process modelling languages for accessing the acceptability criteria according to specialized needs of the enterprise business process operation as each and every modelling language has its own perspective and represent different features of the processes. This paper presents the review of five popular modelling languages which are widely used today.
Usability heuristics for grid computing applications

— Usability evaluation for applications based on emerging information technology brings new challenges. Grid Computing is a relatively new, distributed computing technology, based on sharing different types of computational resources, located in various geographic locations. Technical knowledge of grid users is expected to decrease in the future; that is why the usability of Grid Computing applications will become a main issue. There is a need for new usability evaluation methods or at least for the use of traditional evaluations in novel ways. A set of heuristics is proposed and validated, in order to help the heuristic evaluations of Grid Computing applications.
Affordable Care Act Will Expand Mental Health and Substance Use Disorder Benefits and Parity Protections for 62 Million Americans

The Affordable Care Act will provide one of the largest expansions of mental health and substance use disorder coverage in a generation. Beginning in 2014 under the law, all new small group and individual market plans will be required to cover ten Essential Health Benefit categories, including mental health and substance use disorder services, and will be required to cover them at parity with medical and surgical benefits. The Affordable Care Act builds on the Paul Wellstone and Pete Domenici Mental Health Parity and Addiction Equity Act of 2008 (MHPAEA, or the federal parity law), which requires group health plans and insurers that offer mental health and substance use disorder benefits to provide coverage that is comparable to coverage for general medical and surgical care.
CMOS analog integrated circuits based on weak inversion operations

A simple model describing the DC behavior of MOS transistors operating in weak inversion is derived on the basis of previous publications. This model includes only two parameters and is suitable for circuit design. It is verified experimentally for both p- and n-channel test transistors of a Si-gate low-voltage CMOS technology. Various circuit configurations taking advantage of weak inversion operation are described and analyzed: two different current references based on known bipolar circuits, an amplitude detector scheme which is then applied to a quartz oscillator with the result of a very low-power consumption (<0.1 /spl mu/W at 32 kHz), and a low-frequency bandpass amplifier. All these circuits are insensitive to threshold and mobility variations, and compatible with a CMOS technology dedicated to digital low-power circuits.
Social Media Cyberbullying Detection using Machine Learning

With the exponential increase of social media users, cyberbullying has been emerged as a form of bullying through electronic messages. Social networks provides a rich environment for bullies to uses these networks as vulnerable to attacks against victims. Given the consequences of cyberbullying on victims, it is necessary to find suitable actions to detect and prevent it. Machine learning can be helpful to detect language patterns of the bullies and hence can generate a model to automatically detect cyberbullying actions. This paper proposes a supervised machine learning approach for detecting and preventing cyberbullying. Several classifiers are used to train and recognize bullying actions. The evaluation of the proposed approach on cyberbullying dataset shows that Neural Network performs better and achieves accuracy of 92.8% and SVM achieves 90.3. Also, NN outperforms other classifiers of similar work on the same dataset.
Visualization of the medical imaging data in 3D space using portable format

Medical imaging is a set of specific examination procedures taking advantage of physical effects for determination of changes that occurred in patient’s body. It’s a domain of biomedical engineering to define the methods of acquiring, analyzing and visualizing medical images in the way useful for diagnostic, therapeutic, educational or research purposes. This work describes an effective method of automatic creation of 3D objects from the DICOM images. At the beginning DICOM images are read. Then tissues are segmented with a simple thresholding algorithm and filtered. After filtering preliminary 3D model is created. Afterwards obtained geometry is smoothed and decimated to relax the model and reduce the size of data. Such prepared model is embedded into PDF file with use of additional scripts. As the result of this work software called DICOM2PDF3D, combining described above stages of building 3D model in a single procedure, was developed. With use of 3D PDF additional measurements of created geometry were made. Measurements confirmed values obtained from standard preoperative evaluation. The presented solution allows creating and opening three-dimensional visualizations on every desktop computer even by inexperienced users. Created 3D PDF can be used for preoperative evaluation as an assistance for standard procedures.
Modular Data Center

Providing the circulation amount can be precisely controlled heating of the modular data center. Data center module having: a housing 30 which includes an intake port 31a and the exhaust port 31b; the racks 33, 33a which accommodates the electronic apparatus; and a blower 32, which is externally introduced into the housing 31a via the intake port 30 air, and the air flow from one side toward the other surface side of the rack 33. Further, the exhaust port 31b arranged side includes a change in an open state or closed state of the shielding plates 51, and independently driven drive means such shielding plate unit 36 ​​of a shielding plate. Further, the space within the housing 30 is separated into a first space between the chassis 33 and the intake port 31a 41,42, the frame 33 between the exhaust port 31b and the second space 43, and the rack 33 arranged above the space 43 and contact the second and third spaces 41, 42 between the first space 44.
Improving document relevancy using integrated language modeling techniques

This paper presents an integrated language model to improve document relevancy for text-queries. To be precise, an integrated stemming-lemmatization (S-L) model was developed and its retrieval performance was compared at three document levels, that is, at top 5, 10 and 15. A prototype search engine was developed and fifteen queries were executed. The mean average precisions revealed the S-L model to outperform the baseline (i.e. no language processing), stemming and also the lemmatization models at all three levels of the documents. These results were also supported by the histogram precisions which illustrated the integrated model to improve the document relevancy. However, it is to note that the precision differences between the various models were insignificant. Overall the study found that when language processing techniques, that is, stemming and lemmatization are combined, more relevant documents are retrieved.
The Art of Molecular Dynamics Simulation: Basic molecular dynamics

Introduction This chapter provides the introductory appetizer and aims to leave the reader new to MD with a feeling for what the subject is all about. Later chapters will address the techniques in detail; here the goal is to demonstrate a working example with a minimum of fuss and so convince the beginner that MD is not only straightforward but also that it works successfully. Of course, the technique for evaluating the forces discussed here is not particularly efficient from a computational point of view and the model is about the simplest there is. Such matters will be rectified later. The general program organization and stylistic conventions used in case studies throughout the book are also introduced. Soft-disk fluid Interactions and equations of motion The most rudimentary microscopic model for a substance capable of existing in any of the three most familiar states of matter – solid, liquid and gas – is based on spherical particles that interact with one another; in the interest of brevity such particles will be referred to as atoms (albeit without hint of their quantum origins). The interactions, again at the simplest level, occur between pairs of atoms and are responsible for providing the two principal features of an interatomic force. The first is a resistance to compression, hence the interaction repels at close range. The second is to bind the atoms together in the solid and liquid states, and for this the atoms must attract each other over a range of separations.
Software Process and Quality Evaluation for Semantic Web Applications

ABSTRACT Semantic Web applications offer the benefit of providing reusable machine understandable content in the form of an ontology. Machine understandability is one of the most important aspects that differentiate Semantic Web based applications from traditional software. Hence, there is a need to adapt several features of the Software Engineering paradigm to Semantic Web based application development in order to make development and delivery of the latter, more efficient. In this paper, a rigorous review of the state of the art in this area has been presented. The existing works on Software Engineering processes for Semantic Web application development, on the process for reengineering web applications to Semantic Web applications, and on the quality assessment of Semantic Web applications have been reviewed with discussion on the brief process, tools used, contribution, limitations, and some other features of each work. In addition to identified research gaps in these directions, some observations have also been drawn.
The Pattern of Psychiatric Morbidity in Chronic Obstructive Pulmonary Disease: A Cross-Sectional, Case–Control Study from a Tertiary Care Hospital in Kashmir, North India

ABSTRACT Introduction: Psychiatric morbidity has an increased prevalence in chronic obstructive pulmonary disease (COPD). Patients overall psychosocial status plays an important role in the development of depression which, when major, is said to occur in 19%–42% of cases of COPD. We aimed to study patterns of psychosocial issues in patients with COPD. Materials and Methods: This study was conducted over a period of 6 months in an Outpatient Department of Government Chest Disease Hospital Srinagar. A total of 100 COPD patients and 100 sex- and age-matched controls were included in this study and compared. The diagnosis of COPD was assessed by spirometry. Patterns of psychiatric morbidities were assessed using the Mini-International Neuropsychiatric Interview. Results: The frequency of psychiatric comorbidities was significantly higher (P < 0.001) in COPD patients (47%) as compared to controls (12%). The highest frequency of psychiatric morbidities in COPD patients was major depressive episode in 28% in comparison to 9% of controls. Other morbidities include panic disorder, dysthymia, generalized anxiety disorder, and suicidality. Conclusion: The frequency of psychiatric morbidities is increased in COPD patients as compared to controls. We recommend that all patients with COPD should be screened for psychiatric morbidity as there is enough scope for psychiatric services to be made available to these patients.
Implementation of BP Algorithm Using Matlab Based on Vehicle Type Recognition

Vehicle type recognition has a wide future application prospect.BP artificial neural network can improve the recognition rate of vehicle type in the vehicle type automatic recognition system.Any vehicle type can be Abstracted into a "工"-shaped mode.Three relative parameters are used as the input parameters of BP ANN.A three layered 3-8-3 BP ANN is adopted and is trained by 14 pair input parameters.The BP ANN is tested by 4 pair input parameters and then some expected values are obtained in this processing.
APPLICATION OF DISTRIBUTED GENERATION REACTIVE POWER CONTROL MODES TO INCREASE SYSTEM STABILITY

With 940MW of Distributed Generation (DG) currently connected to the NIE Networks’ distribution system and a summer valley demand of c505MW it is essential that generation is operated in a manner that ensures system stability is not jeopardised. This paper presents the application of various Distributed Generation (DG) reactive power control modes, with specific focus on the innovative variants of voltage control employed within NIE Networks’, in order to improve local and global system stability.
Measuring Hospital Performance through Data Envelopment Analysis

Attempting to assess the performance of organisations that are health service providers is not only a difficult task, but also requires specialised evaluation techniques because of the non-parametric measurable characteristics of their product. Data envelopment analysis (DEA) is a unique technique used for studying the comparative operating efficiency of an organisation in terms of scale and technical efficiencies that are beyond the scope of conventional measures of performance. The knowledge of these efficiencies reveal those ‘black spots’ that can then be targeted for improvement. Though being a very powerful methodology for evaluation of health service providers, DEA is not observed to have attracted the interest of research scholars and professionals working in the field of health care. Perhaps, it may be because of incomprehensible mathematical derivations that seldom provide insight as to how, why and what is actually happening in the shadows of such complicated manipulations. The purpose of this article is merely to unwind the minutely spun structure of the model and provide researchers a ‘feel’ for the hidden fibres of operating efficiencies that are at the very core of DEA model. By doing so we hope to help novice researchers in the field of health care, who are less accustomed with quantitative techniques, yet are more alive and knowledgeable about the concepts dealt in this methodology.
Visual Texture-Based 3-D Roughness Measurement for Additive Manufacturing Surfaces

In this paper, for evaluating the 3-D roughness of the additive manufacturing surfaces, we constructed a 3-D reconstruction system of structured light scanner. By calibrating the system, the center line of structured light is extracted online to reconstruct the profile of additive manufacturing and realize data registration. A dynamic texture coarseness algorithm is proposed, which combines 3-D data with 2-D Gaussian filtering and texture coarseness characteristics to transform 3-D roughness into visual image texture coarseness. The algorithm is applied to evaluate 3-D weld roughness with low delay. The validity of the algorithm is verified by roughness comparison specimens and the actual material adding experiment. The result of roughness is reliable and conforms to the evaluation standard of weld quality. At the same time, the position of structured light is optimized in the process of on-line detection, which reduces the complexity of extracting contour centerline and ensures the low delay characteristic of roughness calculation.
Information Use Behavior of Decision-Makers for Food Security in the English-Speaking Caribbean: A Study of Trinidad and Tobago, Belize, and Barbados

Abstract Information required by food security decision-makers is multidisciplinary and must be timely and accurate. A survey conducted in three Caribbean countries determined that e-resources are highly important; print, frequently used; and e-mail, used daily. There is a distrust of social media, and problems accessing reliable, local, up-to-date information. Some interviewees (33.3%) evaluated online resources and 95.0% consider access to food and agricultural information professionals an asset. Though 84.3% rated themselves as competent or better at finding information, 89.3% would attend information literacy training. The results reveal the need for improved information management systems and understanding of the workplace information environment.
A P2P Approach to SIP Registration and Resource Location

This document outlines the motivation and requirements for a Peer-to- Peer (P2P) based approach for SIP registration and resource discovery using distributed hash tables and presents the architectural design for such a system. This design removes the need for central servers from SIP, while offering full backward compatibility with SIP, allowing reuse of existing clients, and allowing P2P enabled peers to communicate with conventional SIP entities. A basic introduction to the concepts of P2P is presented, backward compatibility issues addressed, and the security considerations are considered. This work is one possible implementation of the the protocol being discussed for creation in the proposed P2PSIP WG. In the context of the work being proposed, this draft would represent a concrete proposal for the P2PSIP Peer Protocol, using modified SIP as the underlying protocol. In this architecture, no P2PSIP Client Protocol is needed, rather unmodified SIP is used for access by non-peers. This is early work, and is less secure in many ways than the traditional approach to SIP, but has certain other interesting characteristics that may make it desirable in some situations. This work is being discussed on the p2psip@cs.columbia. edu mailing list.
Risk to human health related to the presence of perfluorooctane sulfonic acid and perfluorooctanoic acid in food

Abstract The European Commission asked EFSA for a scientific evaluation on the risks to human health related to the presence of perfluorooctane sulfonic acid (PFOS) and perfluorooctanoic acid (PFOA) in food. Regarding PFOS and PFOA occurrence, the final data set available for dietary exposure assessment contained a total of 20,019 analytical results (PFOS n = 10,191 and PFOA n = 9,828). There were large differences between upper and lower bound exposure due to analytical methods with insufficient sensitivity. The CONTAM Panel considered the lower bound estimates to be closer to true exposure levels. Important contributors to the lower bound mean chronic exposure were ‘Fish and other seafood’, ‘Meat and meat products’ and ‘Eggs and egg products’, for PFOS, and ‘Milk and dairy products’, ‘Drinking water’ and ‘Fish and other seafood’ for PFOA. PFOS and PFOA are readily absorbed in the gastrointestinal tract, excreted in urine and faeces, and do not undergo metabolism. Estimated human half‐lives for PFOS and PFOA are about 5 years and 2–4 years, respectively. The derivation of a health‐based guidance value was based on human epidemiological studies. For PFOS, the increase in serum total cholesterol in adults, and the decrease in antibody response at vaccination in children were identified as the critical effects. For PFOA, the increase in serum total cholesterol was the critical effect. Also reduced birth weight (for both compounds) and increased prevalence of high serum levels of the liver enzyme alanine aminotransferase (ALT) (for PFOA) were considered. After benchmark modelling of serum levels of PFOS and PFOA, and estimating the corresponding daily intakes, the CONTAM Panel established a tolerable weekly intake (TWI) of 13 ng/kg body weight (bw) per week for PFOS and 6 ng/kg bw per week for PFOA. For both compounds, exposure of a considerable proportion of the population exceeds the proposed TWIs.