Miracle-dz/UniFAR-FTUs huggingface dataset:
Confusion Class Discrimination Techniques for Text Classification

This paper analyzes confusion class phenomena existing in text classification procedure, and studies further confusion class discrimination techniques to improve the performance of text classification. In this paper, firstly a technique for confusion class recognition based on classification error distribution is proposed to recognize confusion class sets existing in the pre-defined taxonomy. To effectively discriminate confusion classes, this paper proposes an approach to feature selection based on discrimination capability in the procedure of which each candidate feature's discrimination capability for class pair is evaluated. At last, two-stage classifiers are used to integrate baseline classifier and confusion class classifiers, and in which the two output results from two stages are combined into the final output results. The confusion class classifiers in the second stage could be activated only when the output class of the input text assigned by baseline classifier in the first stage belongs to confusion classes, then the confusion class classifiers are used to discriminate the testing text again. In the comparison experiments, Newsgroup and 863 Chinese evaluation data collection are used to evaluate the effectiveness of the techniques proposed in this paper, respectively. Experimental results show that the methods could improve significantly the
Mining Binary Diagram Rules

Mining association rules was introduced as a novel framework of Data Mining by Agrawal et al. [1] and some e cient heuristic algorithms for mining all association rules have been devised [2]. Based on such research, some systems for mining association rules have been already in commerce and have succeeded in discovering a rule like \if a customer buys a swimsuit and a pair of ippers then the customer buys goggles too in 90% of the cases" from huge databases. This method is obviously applicable to genomic data and a successful result has been reported for nding simple association rules from signals found in mammalian promoter sequences [4]. In order to increase the diversity and expressibility of rules, we introduce a rule in a more general form, Binary Diagram Rule (BDR, shortly), so that a rule like \at teatime, if a person
THE OXYGEN SUPPLY OF THE LIVER

1. In the cat the liver obtains about two-thirds of its oxygen from the portal vein under normal conditions of blood-pressure. Obstruction of the portal vein to a lobe causes central degeneration in the lobules. 2. When the blood-pressure is lowered by haemorrhage and shock, the oxygen content of the portal venous blood is proportionately diminished, and the liver becomes more and more dependent on the hepatic artery for its oxygen. 3. In the rabbit the liver is almost entirely dependent on the hepatic artery for its oxygen, and gets only an insignificant amount from the portal blood. 4. Irritation of the hepatic nerves by a ligature may cause a temporary diminution of the flow through the liver by causing vasoconstriction of the portal venules within the liver. This effect, however, is so transient that it does not play any significant part in determining the liver degeneration which results from ligature of the hepatic artery. 5. Temporary occlusion of the hepatic artery does not lead to reactive hyperaemia in the liver. The expenses of this Research have been partly defrayed by a grant from the Medical Research Council.
Introduction: Economics Of Higher Education

The four articles hereafter are related to an international conference held in Mons, Belgium, in December 2005 and whose topic was ‘Higher Education, Multijurisdictionality and Globalisation'. That conference was organised within the framework of the Interuniversity Attraction Poles Programme of the Belgian Ministry of Science Policy.
Automatic estimation the number of clusters in hierarchical data clustering

Emergent pattern recognition is crucially needed for a real-time monitoring network to recognize emerging behavior of a physical system from sensor measurement data. To achieve effective emergent pattern recognition, one of the challenging problems is to determine the number of data clusters automatically. This paper studies the performance of the model-based clustering approach and using the knee of an evaluation graph for the estimation of the number of clusters. The working principle of these two methods is presented in the article. Both methods have been used for the classification of damage patterns for a benchmark civil structure. The performance of these two methods on determining the number of clusters and classification success rate is discussed. c 2010 IEEE.
A construction of vector quantizers for noisy channels

Recently, vector quantization has become noted as a highly efficient coding method of image and voice data. So far, many of the highly efficient coding problems, or service coding problems, have been studied separately from channel coding problems. This paper reconsiders vector quantization jointly optimizing source coding and channel coding, and proposes a new vector quantizer for noisy channels. Vector quantizers for binary symmetric channels are designed for memoryless Gaussian source, Gauss-Markov source and the real images, and are compared with the conventional vector quantizer which does not take account of channel errors. As a result, it is shown that the performance of the proposed vector quantizer is improved without adding the redundancy for error correction, and the improvement of the performance of the proposed vector quantizer for noisy channels over the conventional vector quantizer becomes significant for highly correlated sources and longer block length.
Une synthèse des variantes du lancer de rayons et du lancer de faisceaux

L'algorithme de lancer de rayons est considere comme l'un des plus interessants pour creer des images de synthese realistes. Cependant, deux inconvenients majeurs le caracterisent : le probleme de l'aliassage (marches d'escalier, disparition des petits objets et petites ombres) et celui des importants temps de calcul. Pour resoudre ces deux problemes, de nombreuses voies ont ete explorees. Certaines d'entre elles sont des echecs, d'autres ameliorent la qualite des images et d'autres encore optimisent les temps de calcul. Nous nous proposons, dans cet article de passer en revue les differentes variantes du lancer de rayons : les solutions fondees uniquement sur des rayons d'epaisseur infinitesimale, celles fondees sur une approche volumique des rayons, appeles “faisceaux” et celles combinant ces deux types de rayons. Nous presentons aussi deux methodes utilisant ponctuellement des rayons volumiques. L'une optimise le calcul des ombres portees et l'autre la visibilite entre deux carreaux dans un algorithme de radiosite.
Nuclear factor-&kgr;B as a predictor of treatment response in breast cancer

Purpose of review To examine the links of nuclear factor-&kgr;B (NF-&kgr;B) to treatment-induced signaling in breast cancer and to propose further studies to elucidate the role of NF-&kgr;B in breast cancer response to chemotherapy and radiation. Recent findings The authors' group and others have investigated the clinical relevance of ubiquitously expressed NF-&kgr;B in breast cancer. Possibly through its effects on apoptosis, NF-&kgr;B has been implicated in tumor resistance to chemotherapy and radiation in many types of tumors. Furthermore, both in vitro and in vivo studies have shown that targeted inhibition of NF-&kgr;B can sensitize tumor cells to chemotherapy and radiation. Summary The molecular mechanisms involved in chemotherapy-induced and radiation-induced cell death in breast cancer are not fully known, nor are the mechanisms of treatment resistance. NF-&kgr;B is a transcription factor for a number of genes involved in tumor progression and resistance to systemic therapies and is a major regulator of the apoptotic pathway. Gaining further insights into molecular factors such as NF-&kgr;B as biomarkers for treatment response may help clinicians predict treatment outcome and lead to the development of targeted therapeutics.
Integrating Theatrical Strategies into Sonic Interaction Design

The Workshop on 'Sonic Interaction Design and its relation to Film and Theatre Sound Design’ was organised as part of the European COST project on Sonic Interaction Design (COST-SID). The aim of the workshop was to explore how existing practices in theatre can inform the design and evaluation of sonic interfaces. In this paper we describe the process of creating the sound design for a short theatre scene and the process of directing and creating the final performance, which involved a high degree of improvisation. We also describe the listening process constructed for the workshop. The scene was played to the audience in the dark and they were asked for responses regarding understandings of the scene, the sources of the sounds, the emotional content and their expectations based on the sounds alone. The sound design was then played again but this time with an accompanying performance in which the actor interacted with various objects. More feedback was gathered after this second performance looking at how the perception of the sounds, the audience expectations and the emotional content of the piece was changed. Finally the Sound Designer, the Theatre Director and the Actor explained their processes and a discussion gathered comments on this “theatrical” method for testing and evaluating sonic interaction designs. We finish with reflections on what we have learnt from this workshop about the ways that theatre can be used to experiment, prototype and sketch sonic interaction designs, and conclude with directions for future work.
Impact of collaborative and multidisciplinary care on management of hypertension in chronic kidney disease outpatients

Objective In patients with chronic kidney disease (CKD), blood‐pressure (BP) control is crucial. ProFiL, a training and communication‐network programme, is designed to optimize community pharmacists' management of drug‐related problems among CKD outpatients. This study evaluates the impact of ProFiL on BP control and management of hypertension treatment.
L'open data comme nouvelle forme de gouvernance numérique : enjeux, marchés, modèles, idéologies.

Le phenomene de l'open data, ouvrant les donnees numeriques des administrations a l'espace public, s'est developpe tres rapidement aux Etats Unis avant de gagner l'Angleterre, la France et de nombreux autres pays . Pour Tim Berner Lee le phenomene de l'open data devrait constituer le futur logique des developpements du web 2.0. Il s'est developpe tres rapidement aux Etats Unis avant de gagner l'Angleterre, la France et l'ensemble des pays europeens. A l'heure ou 94 % de notre memoire est devenue numerique, et ou la question de l'eco-citoyennete est devenue incontournable, la question des ressources informationnelles devient centrale pour la survie et la gouvernance des societes d'inspiration democratique dont l'un des piliers sera celui de la " soutenabilite " numerique. C'est a la discussion des questions portant sur les enjeux, marches, modeles et ideologies de l'open data que se consacrera cet article.
Contemporary Issues in the Ethics of Data Analytics in Ride-Hailing Service

Big data technology has brought about the establishment of transportation network companies (TNCs), such as Uber in the USA, and Didi in China, who provide the ride hailing services (RHS's) which allows the individuals to act as independent contractors serving customers via a smartphone app. The RHS system installed gigantic databases which can store enormous data and its equipment can collect various kinds of data at any time. Additionally, data analysis technologies in TNCs such as behavioral analysis, heatmap optimization surge pricing and the automatic order assignment mechanisms, can make the RHS more efficient. However, along with achievements big data technology offers, we are struggling towards the ethical problems, including privacy, inequity and safety.
A New Tool-Kit for Designing Complex Material Handling Systems Using IEC61499 Function Blocks

Abstract The model-driven approach to software development has been increasingly applied to manage the growing complexity in modern manufacturing systems. With this approach, a model of a system is first created at a high-level of abstraction. The model is then converted into an executable program by means of automatic code generation tools. Models can be simulated and visualized throughout the entire design flow of the system, thereby increasing confidence of the design's correctness and its adherence to user requirements. Moreover, since the design is specified at a higher level of abstraction, the description itself is easier to understand, and consequently, less prone to errors. However, automated code generation from high-level models have typically been inefficient compared to hand-crafted code. In this paper, we demonstrate an approach for generating efficient code for systems modelled using IEC 61499 function blocks. We have also developed a tool chain that allows complex material handling systems to be modelled, visualized, and synthesized in a seamless fashion. Experimental evaluations show that our approach produces significantly faster and smaller code compared to an existing tool.
Research of hall for workshop of metasynthetic engineering

The approach of metasynthesis from qualitative to quantitative, proposed by Chinese scientists from the point view of systematology, is a method for solving complex giant systems like economic systems and their decision making. The hall for workshop of metasynthetic engineering inherited from the above methodology is proposed in 1992, which statement is definitely declared. Due to the development of Internet and Information Technology, the limitation of attendees are broadened from expert's individual and group to the public in this paper. The public's ideas are also paid attention and collected in the hall. The hall for workshop of metasynthetic engineering can be established based on Internet network and Internet technologies, which is distributed throughout the world. Some key points of metasynthetic engineering are discussed in this paper, such as human computer cooperation, from quantitative to qualitative, discussion processes, etc. We argue that the hall for workshop of metasynthetic engineering can be an informational, scientific, and democratic decision support system.
A Model for Robust Aircraft Maintenance Routing Problem

An MIP model is established for the aircraft maintenance routing problem. In this model, two objectives, i.e., minimizing the number of used aircrafts and total flight delay costs, are considered. In terms of solution method, a VNS is proposed and experimental results show that it can find much better solutions quickly in reasonable time than CPLEX.
Corpora and data collection

This book presents a detailed description of Spoken Language Translator (SLT), one of the first major projects in the area of automatic speech translation. The SLT system can translate between English, French, and Swedish in the domain of air travel planning, using a vocabulary of about 1500 words, and with an accuracy of about 75%. The greater part of the book describes the language processing components, which are largely built on top of the SRI Core Language Engine, using a combination of general grammars and techniques that allow them to be rapidly customized to specific domains. Speech recognition is based on Hidden Markov Mode technology, and uses versions of the SRI DECIPHER system. This account of the Spoken Language Translator should be an essential resource both for those who wish to know what is achievable in spoken-language translation today, and for those who wish to understand how to achieve it.
Teaching vocabulary and letter knowledge in Arabic early literacy programs : what works?

This exploratory study compares the efficiency of two Arabic early literacy curricula that vary in the order they introduce letters and the level of emphasis placed on fostering vocabulary and comprehension skills. School-1 introduces letters in an innovative order, teaches vocabulary in context, and fosters listening comprehension while School-2 introduces letters earlier but in their alphabetic order and often introduces vocabulary in lists. The reading programs were implemented in two schools teaching Arabic as a second language in a southwestern state. Twenty-seven 1 grade students were assessed individually for 15-20 minutes at the beginning of the academic year 2014-2015 and again in mid-spring. Measures included letter naming, syllable reading, word reading, rapid naming of unique letters, rapid naming of confusing letters, listening comprehension, firstsound isolation phonological awareness, and odd-word identification phonological awareness subtasks. In addition to the assessment, two classroom observations were conducted in each school.
Índice leuco-glucémico como predictor de mortalidad en la insuficiencia cardiaca

Introduction : currently, risk factors are looked for to predict results in emergency medicine. The prognosis indexes have been widely applied to heart failure, with uneven results. Objectives : to test the leuko-glycaemic index as mortality indicator in heart failure, as well as to calculate the cut-off value. Material and methods : a retrospective, longitudinal analytical study was carried out with all the patients who entered the Emergency Intensive Care Unit of the Military Hospital “Carlos J. Finlay” because of decompensated heart failure, from January 2017 until June 2017, and fulfilled the inclusion and exclusion criteria. Results : the average age was 79±12 years. Global mortality was around 29 %. The sample was composed by 17 women and 14 men. The error rate in mortality prediction by leuko-glycaemic index is only 5.6 %. The area below the ROC curve is 0,995; IC 95 % (0,979;1); it is evidenced a cut-off point in 1934; therefore, leuko-glycaemic index result higher than this value has a sensibility of 88.9 % and a specificity of 100 % to detect possible deceases. Conclusions : leuko-glycaemic index may be an element to take into account in this prognosis. It has a high sensibility and specificity in detecting patients at risk of dying due to heart failure.
Real-time point cloud data transmission in Kinect point cloud data based telerehabilitation system

REAL-TIME POINT CLOUD DATA TRANSMISSION IN KINECT POINT CLOUD DATA BASED TELEREHABILITATION SYSTEM Real-time monitoring is a key aspect of Telemedicine. Using Kinect sensor for remote video based rehabilitation diagnosis has been a low cost, convenient, and effective technology. However, point cloud data from Kinect sensors are usually quite large (90MB/s). Therefore, how to ensure the quality of service (QoS) of data transmission under limited bandwidth is a challenging issue. In this thesis, we propose a selfadaptive and hybrid mode with both patient self-management and doctor remote diagnosis based telemedicine framework. The core of this framework is a Kinect differential octree based point cloud data dynamic algorithm, point cloud detail compression, frame skipping, dynamic compression and etc. We performed numerical analysis and simulation. Results show the system has good effective and feasibility under limited bandwidth. In addition, a Speed-based Telerehabilitation System was proposed as test system for dynamic algorithm. Yilin Chen December 2015 REAL-TIME POINT CLOUD DATA TRANSMISSION IN KINECT POINT CLOUD DATA BASED TELEREHABILITATION SYSTEM
Cuándo y Cómo usar la Realidad Virtual en la Enseñanza

Se propone una guia que oriente al educador o instructor a decidir cuando usar la Tecnologia de Realidad Virtual y como relacionarla con la Tecnologia Educacional. Se analizaron las propiedades que posee esta tecnologia, en especial aquellas relacionadas con la educacion, como es el caso de la “inmersion”. Ademas, se estudio su relacion con las Tecnicas de Ensenanza, Objetivos Educacionales, y Estilos de Aprendizaje, los cuales se deben tener en cuenta al momento de disenar software instruccional que use como base esta Tecnologia. Los resultados de este estudio indicaron que las caracteristicas de la Realidad Virtual hacen de esta una herramienta casi “natural” para el proceso de ensenanza/aprendizaje; sin embargo, las aplicaciones virtuales educacionales deben considerar ademas las Tecnicas de Ensenanza, los Objetivos Educativos, y los Estilos de Aprendizaje con la finalidad de desarrollar aplicaciones centradas en el alumno y no solo en el contenido.
Uso de la vasopresina en el estado de choque

La arginina-vasopresina (VP) tambien conocida como hormona antidiuretica es esencial para mantener el equilibrio hidrico. Su sintesis y liberacion depende de la interaccion de estimulos osmoticos, hipovolemicos, hormonales y no osmoticos. Se ha demostrado que en estados de choque es fundamental para mantener la homeostasis cardiovascular a traves de la regulacion del tono vasomotor, el cual determina las resistencias vasculares sistemicas y la presion arterial media, a traves de los receptores V1. El estado de choque con vasodilatacion refractaria que se presenta en sepsis, respuesta inflamatoria sistemica, hipovolemia, paro cardiaco, politraumatismo, etc. Se caracteriza por una fase inicial en la que hay liberacion y aumento en los niveles sericos de VP, esta es seguida por una segunda fase en la que se presentan niveles inapropiadamente bajos de la hormona y estos se asocian con refractariedad al manejo con volumen, inotropicos y vasopresores. Se ha demostrado, en estudios experimentales y clinicos, que en esta condicion el tratamiento con vasopresina exogena incrementa la resistencia vascular sistemica, la presion de perfusion y el aporte de oxigeno a los tejidos perifericos lo cual hace posible la disminucion y suspension de los vasopresores e incrementa la supervivencia
Early Bronze Age Pottery Covered with Lime-Plaster: Technological Observations

With the emergence of urban culture in the southern Levant in the Early Bronze Age, new types of pottery and ceramic techniques appeared, among them pottery (usually combed) coated with a white material. A selection of sherds from Early Bronze strata was studied in an attempt to analyze this material. Using microscopy and various other methods, the authors were able to determine that the white material was a lime-plaster applied to the vessels after firing. The paper contends that the most likely reason for applying the lime-plaster was functional—to decrease permeability and protect the contents of the vessels.
Banner Click Through Rate Classification Using Deep Convolutional Neural Network

In banner advertising, Click Through Rate (CTR) is one of the most important indicators to evaluate one advertisement’s quality. Advertisers create massive number of banner candidates in empirical ways, then proceed to actual tests by delivering advertisement to measure each banner’s effectiveness. This process is expensive and therefore our CTR prediction helps reducing online advertising costs. In this work, we propose a method to classify ‘effective’ and ‘ineffective’ advertising banners based on image processing using state-of-the-art CNN. We first focus only on images then conduct experiments including metadata (product, advertiser, etc) to increase the CTR prediction accuracy and demonstrate which metadata is the most influential. Subsequently, each approach is compared to human performance. In the second part of our work, we detect which parts of the image contribute predominantly to increase the CTR by generating heat maps for each classes. This work leads to a deeper understanding of a banner advertising success and helps making decisions on how to improve it.