Miracle-dz/UniFAR-FTUs huggingface dataset:
Modalités pratiques de l ’ insulinothérapie en réanimation Intensive insulin therapy in the ICU in practice

Critical illness associated hyperglycemia is a common problem in the intensive care unit. Its mechanisms are still unclear. The very early phase of critical illness induced stress is associated with exaggerated hormone response including high circulating levels of adrenaline, glucagon and cortisol. These hormones activate glycogenolysis and neoglucogenesis. Subsequently, insulin resistance develops within muscles, adipose and liver tissues contributing further the rise in the blood glucose levels. The mechanisms of the insulin resistance likely involve breakdown in GLUT 4 levels in cells as a consequence of pro-inflammatory cytokines induced down regulation of GLUT 4 gene transcription. Hyperglycemia with levels exceeding 2 g/l are very likely contributing to mitochondrial dysfunction and critical illness associated morbid-mortality. Tight control of glucose levels may then help improving ICU patients outcome. Nonetheless, the potential serious side effects associated with severe hypoglycemia should urge physicians to be cautious in managing patients with intensive insulin therapy. So far, except in selected surgical ICU patients, physicians should not target normo-glycemia and only avoid blood glucose to exceed 2 g/l. Ongoing clinical trials will help clarifying in the next future which category of ICU patients benefits more from normo-glycemia. © 2006 Société de réanimation de langue française. Publié par Elsevier Masson SAS. Tous droits réservés. Mots clés : Réanimation ; Insuline ; Glucose
Multi feature space combination for authorship clustering : Notebook for PAN at CLEF 2016

The Author Identification task for PAN 2016 consisted of three different Sub-tasks: authorship clustering, authorship links and author diarization. We developed a machine learning approaches for two of three of these tasks. For the two authorship related tasks we created various sets of feature spaces. The challenge was to combine these feature spaces to enable the machine learning algorithms to detect these difference authors across multiple feature spaces. In the case of authorship clustering we combine these feature spaces and use a two-step approach for clustering. Then we use results of the clustering, and employ new feature space to determine links between documents in given problems.
On the Rectangular Knapsack Problem - Approximation of a Speciﬁc Quadratic Knapsack Problem

In this article, we introduce the rectangular knapsack problem as a special case of the quadratic knapsack problem consisting in the maximization of the product of two separate knapsack proﬁts subject to a cardinality constraint. We propose a polynomial time algorithm for this problem that provides a constant approximation ratio of 4.5. Our experimental results on a large number of artiﬁcially generated problem instances show that the average ratio is far from theoretical guarantee. In addition, we suggest reﬁned versions of this approximation algorithm with the same time complexity and approximation ratio that lead to even better experimental results.
Using avatars for improved authentication with challenge questions

We present a novel method for improving the security of challenge question authentication, which tradition- ally requires a user to answer questions such as "What is your Mother's Maiden Name? ". In our method, users create an Avatar representing a fictitious person, and later use the Avatar's information to authenticate themselves. The Avatar Profile consists of basic identifying information (e.g., name, address) as well as personality information (e.g., pets, interests). This info is pseudo-randomly generated from a large corpus of information. For authentication purposes, a small amount of the Avatar Profile information is used to respond to challenge questions. In terms of security, the use of information that is not personally associated with the user is intended to thwart observation attacks such as, for example, knowing the user's mother's maiden name. In terms of usability, our design establishes a bond between the user and their Avatar using graphical images and periodic associations by, for example, presenting an image of the Avatar at each login. This nurturing of the bond between a user and their Avatar leverages known psychological phenomena. At the same time it also provides a novel adaptation to security of the emotional investments that users exhibit in virtual worlds and massively multi-user online graphical environments. In this paper, we describe our work- in-progress towards an Avatar Authentication design, partially guided by an initial pilot experiment. Our initial results are promising and point to a possible future for the use of avatars for authentication. Keywords-authentication; avatar; security; usability.
Operationalizing Pro-Poor Growth : Bangladesh as a Case Study

This paper belongs to a series of 14 country case studies spanning Africa, Asia, Latin America and Eastern Europe. The series is part of the ‘Operationalising Pro-Poor Growth (OPPG)’ work programme, a joint initiative of AFD, BMZ (GTZ, KfW Entwicklungsbank), DFID, and the World Bank. The OPPG work programme aims to provide better advice to governments on policies that facilitate the participation of poor people in the growth process. Other outputs of the OPPG initiative include a joint synthesis report, a note on methodological approaches to analysing the distributional impact of growth, cross-country econometric work, literature reviews, and six synthesis papers on: macroeconomics and structural policies, institutions, labour markets, agriculture and rural development, pro-poor spending, and gender. The country case studies and synthesis papers will be disseminated in 2005.
SMALL AREA ESTIMATES OF OVERWEIGHT PREVALENCE USING THE THIRD NATIONAL HEALTH AND NUTRITION EXAMINATION SURVEY (NHANES III)

Using a hierarchical model, we estimate the overweight prevalence for U.S. adults using NHANES III data. We provide a model-based justification for the use of the statistical weights for estimation through subsampling. We compare our model-based estimates with design-based estimates at the national level and obtain agreement. Also, we display the model-based prevalence estimate by state.
3D Reconstruction of Cuboid-Shaped Objects from Labeled Images

In this thesis, my goal is to determine a rectangular 3D cuboid that outlines the boundaries of a cuboid-shaped object shown in an image. The position of the corners of each cuboid are manually labeled, or annotated, in a 2D color image. Given the color image, the labels, and a 2D depth image of the same scene, an algorithm extrapolates a cuboid's 3D position, orientation, and size characteristics by minimizing two quantities: the deviation of each estimated corner's projected position from its annotated position in 2D space and the distance from each estimated surface to the observed points associated with that surface in 3D space. I found that this approach successfully estimated the 3D boundaries of a cuboid object for 72.6% of the cuboids in a data set of 1,089 manually-labeled cuboids in images taken from the SUN3D database [12]. Thesis Supervisor: Antonio Torralba Title: Associate Professor
A KALMAN FILTER APPROACH TO LABOR FORCE ESTIMATION USING SURVEY DATA

A new time series method for estimating employment and unemployment in 40 States was introduced by the Bureau of Labor Statistics in 1989. It uses the Kalman filter to combine current period State-wide estimates from the Current Population Survey with past sample estimates and auxiliary data from the unemployment insurance system and the Current Employment Statistics payroll survey. The purpose is to reduce high variance in the CPS labor force estimates due to small sample sizes. This paper discusses the basic time series approach used and presents the unemployment model as an example.
Pediatric Liver Transplantation Outcomes for Metabolic and Non-metabolic Diseases in Turkey: A Single Center Experience

Ad dress for Cor res pon den ce Miray Karakoyun MD, Ege University Faculty of Medicine, Department of Pediatric Gastroenterology, Division of Hepatology and Nutrition, İzmir, Turkey Phone: +90 505 869 96 91 E-mail: miray.karakoyun35@gmail.com ORCID ID: orcid.org/0000-0002-6533-6256 Re cei ved: 13.03. 2018 Ac cep ted: 15.10. 2018 1Ege University Faculty of Medicine, Department of Pediatric Gastroenterology, Division of Hepatology and Nutrition, İzmir, Turkey 2Ege University Faculty of Medicine, Department of Inborn Defects of Metabolism, İzmir, Turkey 3Ege University Faculty of Medicine, Department of Pediatrics, İzmir, Turkey 4Ege University Faculty of Medicine, Department of Pediatric Surgery, İzmir, Turkey 5Kent Hospital, Clinic of Transplantation and General Surgery, İzmir, Turkey Miray Karakoyun1, Ebru Canda2, Sirmen Kızılcan3, Orkan Ergün4, Murat Kılıç5, Funda Çetin1, Sema Aydoğdu1
Depth Perception in Media Design: From Sensory Psychology Cues to Interactive Tools

Abstract Considerable research in sensory psychology has demonstrated the ability to generate depth perception in media by manipulating the physical presentation, relative motion, or pictorial qualities of objects. These research results can enable educational developers to create more realistic educational materials when depth perception is key to comprehension. Developers may also utilize research results and modern software tools to create exploratory environments for learners to alter, position, or interact with spatial elements in a scene.
Hypersexual Disorder-A Case Report and Analysis

The concept of hypersexuality or Hypersexual Disorder (HD) has been around for some time but has been mostly bracketed within the category or as a symptom of bipolar mania. Controversy surrounds however the true place of hypersexual disorders amongst the various disorders in both the Diagnostic & Statistical Manual (DSM) and the International Classification of Diseases (ICD). Clinical practice and shared opinion would suggest that it may belong in the category of Mood Disorders, Impulse Control Disorders, Paraphilic Disorders or even Obsessive-Compulsive Disorders. The aim of this article is to shed light on hypersexual disorder as an entity separate and apart from the realm of a comorbid psychiatric illness and present it as a psychiatric phenomenon capable of causing significant psychological and social distress to patients suffering this disorder.
Internal Control Weaknesses and Financial Reporting Fraud American Accounting Association

The American Accounting Association is the copyright holder of this article and retains the worldwide rights to publish, reproduce, distribute, publicly display and/or license the Material in this article for any future editions and versions of this Work, derivative works based on this article (including translations and adaptations), related ancillaries and supplements, and in promotional materials in all print, digital and wireless and/or electronic formats.
A ug 2 01 7 On the Protection of Private Information in Machine Learning Systems : Two Recent Approaches ( Invited Paper )

The recent, remarkable growth of machine learning has led to intense interest in the privacy of the data on which machine learning relies, and to new techniques for preserving privacy. However, older ideas about privacy may well remain valid and useful. This note reviews two recent works on privacy in the light of the wisdom of some of the early literature, in particular the principles distilled by Saltzer and Schroeder in
Exogenous H 2 S reduces apoptosis and myocardial fibrosis in isoproterenol-induced rats by inhibiting activation of CaMKII / NF-κB signaling pathways

Purpose: This study aimed to figure out the effects of exogenous hydrogen sulfide (H2S) on isoproterenol (ISO)-induced myocardial fibrosis and to verify potential mechanisms of cardiomyocyte apoptosis. Methods: Male Sprague-Dawley rats were randomly assigned into the control group, ISO group, ISO + H2S group, and H2S group. ISO was injected into the abdominal cavities of rats for 7 consecutive days to establish animal models of heart failure. Cardiac collagen deposition and collagen volume fraction (CVF) were measured by Masson’s staining. Cardiomyocyte apoptosis was observed by TUNEL staining. Expression of related proteins in CaMKII/NF-κB signaling pathways, apoptosis, and MMPs/TIMPs was detected with the method of Western blotting. Expression of apoptosisrelated miRNAs was detected through RT-qPCR. Results: Compared to the control group, expression of CaMKII/ NF-κB, caspase2, and caspase3 proteins, as well as proapoptotic miRNAs, were significantly upregulated in the ISO group, while expression was downregulated in the ISO + H2S group. Expression of Bcl-2 proteins was decreased in the ISO group but increased in the ISO + H2S group. Masson’s staining results showed that cardiac collagen deposition and CVF were significantly increased in the ISO group but decreased in the ISO + H2S group. Findings obtained from TUNEL staining indicated that the ratio of TUNEL-positive cell nuclei in the ISO + H2S group was lower than that in the ISO group. Conclusion: The current study highlights that exogenous H2S can inhibit myocardial fibrosis and cardiomyocyte apoptosis in ISO-induced rats. The mechanisms may be associated with downregulation of CaMKII/ NF-κB signaling pathways and expression of apoptosis-related miRNAs.
RELATIONSHIP BETWEEN FAMILY ATTITUDE , SYMPTOMS ’ SEVERITY AND SOCIAL FUNCTIONING OF PEOPLE SUFFERING FROM SCHIZOPHRENIA OVER 20 YEARS

Purpose: The aim of the study was to assess the relationship between the family attitude and clinical and social outcome measures in the group of 45 people diagnosed with schizophrenia during 20 years of illness. Methods: For the evaluation of clinical and social variables, the Anamnestic and Catamnestic Questionnaire, the BPRS scale and the scale of social functioning according to the DSM-III axis V were used. The family attitude during the first hospitalisation was measured with CFI. In subsequent measurement points, a 4-stage clinical scale based on the CFI categories (warmth and kindness, criticism, hostility, emotional overinvolvement) was used, which was then analysed as a dichotomous variable: favourable/unfavourable attitude. Results: A significant tendency to improve the family attitude within years of illness was observed. In women, the change in the family attitude was faster than in case of men. The unfavourable family attitude was associated with more frequent relapses and rehospitalisations after 3 and 12 years after the first hospitalisation. The severity of symptoms and the level of social functioning were not related to the family attitude at any measurement point. Conclusions: In the community treatment program, during the 20-year course of schizophrenia, the unfavourable family attitude improved among both women and men, but beneficial changes occurred faster in women. Depending on the time of disease, there was a relationship between the unfavourable family attitude and more frequent relapses, re-hospitalisations and lack of connection with the severity of symptoms and the general level of social functioning.
Evaluación inteligente de interfaces Interfaces intelligent assessment

One of the main causes of failure of some applications of 3D virtual reality, is not able to efficiently evaluate care or end-user ease in front of the application developed, this is usually due to problems assessment costs or simply because the standards are not nests very well, achieving particular applications as low demand after lag behind. Therefore, this article proposes a way of automatic evaluation by stochastic programming after application can be considered inexpensive. Finally we show some statistical evidence and the confrontation of the results.
Optimalization of Natural Resources And Cultural Heritage As Ceramic Industry Business Development Strategy

The objective of the research is explore the business of ceramic industry in Malang City, whether internal and external factors were influential toward the development of the ceramic industry, and how to optimize natural resources and cultural heritage to develop the ceramic industry. The object of the research was the ceramic center in Dinoyo Village Lowokwaru District Malang City, the population were the entire 32 ceramic industry craftsmen/business owners, and the census and questioner method were used to collect data. The SWOT analysis technique was used to analyze the data using the descriptive qualitative approach. SWOT analysis on the internal (strength and weaknesses) and external factors (opportunities and threats) indicated weakness as compared to the strength and little opportunities as compared to the threats against the ceramic industry. Meaning that the challenges in managing the ceramic industry is tremendous which influence the development and competitiveness. Internal factors which are determined by production development (natural resources, art & culture), marketing, human resources, and financial, impacted the development of small scale ceramic industry.External factors determined by local competitors, consumers, foreign products (China) impacted the development of small scale ceramic industry.
AGE VARIATIONS IN THE MICROSTRUCTURE OF HUMAN TIBIAL CANCELLOUS BONE

Introduction : The architectural anisotropy and connectivity of cancellous bone attract increasing interest in mechanics-architecture relationships, as the biomechanical competence of cancellous bone depends not only on the absolute amount of bone present but also the trabecular microstructure. The recently developed three-dimensional (3-D) techniques have made possible true, unbiased and free of assumptions quantification of cancellous bone architecture, such as anisotropy, and connectivity, and enable a detailed and versatile quantification of 3-D architecture. All the age-related studies on trabecular structure have focused mainly on central vertebral or iliac cancellous bone. To our knowledge, no study on the age variation in human peripheral (tibial) cancellous bone microstructure has been published. The aim of this study was to use 3-D methods to quantify age variations in human tibial cancellous bone microstructure.
Observations using Cray Graph Engine and Apache GraphX on computer network data

Graph analytics are useful for overcoming real-world analytic challenges such as detecting cyber threats. Our Urika-GX system is configured to use both the Cray Graph Engine (CGE) and Apache Spark for developing and executing hybrid workflows utilizing both Spark and Graph analytic engines. Spark allows us to quickly process data, stored in HDFS, powering flexible analytics in addition to graph analytics for cyber threat detection. Apache Spark’s GraphX library offers an alternative graph engine to CGE. In this paper, we will compare the available algorithms, challenges, and performance of both CGE and GraphX engines in the context of a real-world client use case utilizing 40 billion RDF triples. (Abstract)
A STUDY OF VARIOUS BRAIN TUMOR DETECTION TECHNIQUES

The brain tumor detection is a very important application of medical image processing. This paper has presented a review on various brain tumor detection techniques. The overall objective of this paper is to explore the various limitations of earlier techniques. The literature survey has shown that the most of existing methods has ignored the poor quality images like images with noise or poor brightness. Also the most of the existing work on tumor detection has neglected the use of object based segmentation. This paper ends up with the suitable future directions.
An Online Music Recommendation System Based on Annotations about Listeners' Preference and Situation

Automatic playlist generation is one of the powerful intermediaries for music providing services. Many people can be promoted to music contents. In this paper, we propose a playlist generation scheme. By using lyrics and annotation, musical similarity and user’s similarity is found. Then it generates a playlist according to a user’s preference and situation. Additionally, the user can provide a feedback such as a favorite music and whether the playlist is recommendable. The system transform the characteristic values concerning the user’s preference and situation so that it adapts to each user.
Remote computation of size features on images of Martian soils acquired by the Mars Exploration Rovers

A procedure to compute the size distribution of images obtained remotely from Martian soils by the Opportunity rover is presented. The process is generally based on the morphological opening and some variations (connected operators, attribute openings) are being applied and evaluated under different experimental conditions. The results obtained so far on a set of images with distinct soil features demonstrate their potentiality and usefulness.
Policy-basierte Internetregulierung durch Router

Diese Arbeit beschreibt den Entwurf und die Implementierung eines Software-Routers fur eine Policy-basierte Internetregulierung. Die Grundlage bildet die von Kasten und Scherp beschriebene Ontologie InFO. InFO dient der System-unabhangigen Beschreibung von Regulierungsmasnahmen. Zudem ermoglicht InFO eine transparente Regulierung durch Verknupfung der Regulierungsmasnahmen mit Hintergrundinformationen. Die InFO-Erweiterung RFCO erweitert die Ontologie um Router-spezifische Entitaten. Es wird ein Software-Router entwickelt, der die RFCO auf IP-Ebene umsetzt. Die Regulierung wird transparent gestaltet, indem betroffene Nutzer vom Router uber Regulierungsmasnahmen informiert werden. Die Router-Implementierung wird exemplarisch in einer virtuellen Netzwerkumgebung getestet.
Comparisons of Wind Tunnel Experiments and Computational Fluid Dynamics Simulations

This paper describes the architecture of an image and data level comparative visualization system and experiences using it to study computational fluid dynamics data and experimental wind tunnel data. We illustrate how the system can be used to compare data sets from different sources, data sets with different resolutions and data sets computed by using different mathematical models of fluid flow. We include recent improvements including use of the comparison of vector fields, ability to interactively interrogate the comparisons, addition of new metrics, the latest FEL2.0 and VisTech libraries, and GUI for a calculator module.
Customized Service Path Oriented Segment Routing Based Flow Transmission System

Current network routing system could not satisfy the increasing traffic diversity and growing demand of customized service path. Based on the service path customizing oriented SR technology and software-based SDN architecture, a prototype of Customized Service Path Oriented Segment Routing based Flow Transmission System is developed, which is designed on programmable routing control platform ONOS. Compared to other routing system, this system could provide service customization support, and also has a better performance on data transmission and controller cost. Keyword-Software-defined Networking; segment routing; service path customization; control plane; data plane.