Miracle-dz/UniFAR-FTUs huggingface dataset:
OPINION MINING AND SENTIMENT CLASSIFICATION: A SURVEY

With the evolution of web technology, there is a huge amount of data present in the web for the internet users. These users not only use the available resources in the web, but also give their feedback, thus generating additional useful information. Due to overwhelming amount of user's opinions, views, feedback and suggestions available through the web resources, it's very much essential to explore, analyze and organize their views for better decision making. Opinion Mining or Sentiment Analysis is a Natural Language Processing and Information Extraction task that identifies the user's views or opinions explained in the form of positive, negative or neutral comments and quotes underlying the text. Text categorization generally classifies the documents by topic. This survey gives an overview of the efficient techniques, recent advancements and the future research directions in the field of Sentiment Analysis.
An Adapted Approach for User Profiling in a Recommendation System: Application to Industrial Diagnosis

In this paper, we propose a global architecture of a recommender tool, which represents a part of an existing collaborative platform. This tool provides diagnostic documents for industrial operators. The recommendation process considered here is composed of three steps: Collecting and filtering information; Prediction or recommendation step; evaluating and improvement. In this work, we focus on collecting and filtering step. We mainly use information result from collaborative sessions and documents describing solutions that are attributed to the complex diagnostic problems. The developed tool is based on collaborative filtering that operates on users' preferences and similar responses.
An Optimization Problem of Internet Routing

As the Internet usage grows, existing network infrastructure must deal with increasing demand. One way to deal with this is to increase network capacity, and another, is to set network parameters appropriately. In this dissertation we contribute to the latter approach by determining the unique network paths data must flow over from its origin to its destination, while accounting for an Active Queue Management method, Random Early Detection (RED). We formulate a mixed integer non-linear program to determine the data paths, referred to as a routing policy. We prove that determining an optimal routing policy that accounts for RED is NP-Hard. Furthermore, in order for the generated routing policies to be real-world implementable, also known as realizable, we must determine weights for all arcs in the network such that solving the all pairs shortest path problem using these weights reproduces the routing policies. We show that determining if our generated routing policies are realizable is NP-Hard. Fortunately, using traffic data from three real-world networks, we are able to find realizable routing policies for these networks that account for RED, using an off-the-shelf solver, and policies found perform better than those used in those networks at the time the data was collected.
Document forensic, the fiqh and the Syariah Courts

Technological progress has made falsification of documents increasingly sophisticated and the need for forensic experts or Ra'yu al-Khabir indispensable in the Syariah Courts. This paper discusses the concept and methods of forensic document authentication by experts according to the Islamic law (fiqh). This study combined quantitative and qualitative approaches whereby 181 key informants comprising randomly sampled syariah and civil law experts and practitioners underwent in-depth interviews . Content analysis of the study revealed that respondent knowledge of document authentication methods according to the Islamic law was at the intermediate level with the mean = 3.59 and sd = 0.63 which was not enough to help the Syariah Courts cope with the rapid increase in the falsification rate of documents. This situation needs urgent redress and calls for the establishment of a comprehensive forensic model to provide adequate guidelines for judges and practitioners of the Syariah Courts.
Levels of processing in appraisal : evidence from computer game generated emotions

L'objectif de ce projet a ete de tester empiriquement certaines hypotheses derivees des descriptions initiales des modeles a niveaux multiples de l'appraisal. Les experiences effectuees donnent quelques suggestions sur comment les systemes de reponse emotionnelle, plus particulierement le systeme nerveux autonome et les expressions faciales, pourraient etre influences differemment par le processus d'appraisal. De plus, les donnees indiquent que les differents appraisals seraient plus ou moins susceptibles de devenir schematises ou automatises. Meme si la premisse de base des theories d'appraisal a multiples niveaux de traitement est tres prometteuse, les modeles courants ont besoin de plus amples specifications des mechanismes qui sont a la base du declenchement des emotions, afin de permettre une elaboration d'hypotheses verifiables. Ce travail propose egalement l'incorporation des connaissances et preuves provenant des neurosciences, qui pourrait permettre une meilleure specification et une amelioration de la definition des modeles d'appraisal a multiples niveaux.
Influence of regional differences and hospital characteristics on health outcomes for inpatient hospitalization of venous thromboembolism patients in the United States

Venous thromboembolism (VTE) results in a tremendous health economic burden. Objectives: To determine if there is a significant association between: 1) hospital census region, teaching status, location, bedsize, and health outcomes for VTE, 2) mortality and race, gender, and payer status respectively. Methods: A retrospective database analysis was done using the Healthcare Cost & Utilization Project, Nationwide Inpatient Sample 2003 data of hospital discharges in the US. Multiple and logistic regression models were employed to study the possible associations. Results: Unlike previous analyses, this study found that Northeast has the highest mean charge per discharge, greater than that in the West, and hospital census region is not a significant predictor of mortality for VTE hospitalizations. Rural location, non-teaching status, small and medium size hospitals are associated with lesser total charge. Medicare and private insurance were positively associated with increased length of stay. Conclusion: Hospital characteristics influence health outcomes for VTE.
Sentence Similarity Computation in Information Retrieval

【Abstract 】 】 】 】It is a difficulty problem that how to improve the recall and the accuracy ratio simultaneously on information searching. In view of this question, this paper proposes one kind of improved sentence similarity algorithm which based on the semantic interdependence degree. IT analyses the characteristics of algorithm based on semantic interdependence similarity, adds the semantic role labeling information through determining weights of the sentences effective collocation, and then weights the algorithm of keyword similarity calculation, then proves this algorithm feasibility with the example, makes re-sorting with the improve d algorithm for inquiry results, which founded on enhancing the inquiry system recall. Thus enhance the accuracy ratio of the first K returns results. Experiment proves that this algorithm improves accuracy ratio of system, the first 20 of re-sorting compared with the before of system sorti ng, to enhance 3.6 %. 【Key words 】
Utilizing external resources for enriching information retrieval

Information retrieval (IR) seeks to support users in finding information relevant to their information needs. One obstacle for many IR algorithms to achieve better results in many IR tasks is that there is insufficient information available to enable relevant content to be identified. For example, users typically enter very short queries, in text-based image retrieval where textual annotations often describe the content of the images inadequately, or there is insufficient user log data for personalization of the search process. This thesis explores the problem of inadequate data in IR tasks. We propose methods for Enriching Information Retrieval (ENIR) which address various challenges relating to insufficient data in IR. Applying standard methods to address these problems can face unexpected challenges. For example, standard query expansion methods assume that the target collection contains sufficient data to be able to identify relevant terms to add to the original query to improve retrieval effectiveness. In the case of short documents, this assumption is not valid. One strategy to address this problem is document side expansion which has been largely overlooked in the past research. Similarly, topic modeling in personalized search often lacks the knowledge required to form adequate models leading to mismatch problems when trying to apply these models improve search. This thesis focuses on methods of ENIR for tasks affected by problems of insufficient data. To achieve ENIR, our overall solution is to include external resources for ENIR. This research focuses on developing methods for two typical ENIR tasks: text-based image retrieval and personalized web data search. In this research, the main relevant areas within existing IR research are relevance feedback and personalized modeling. ENIR is shown to be effective to augment existing knowledge in these classical areas. The areas of relevance feedback and personalized modeling are strongly correlated since user modeling and document modeling in personalized retrieval enrich the data from both sides of the query and document, which is similar to query and document expansion in relevance feedback. Enriching IR is the key challenge in these areas for IR. By addressing these two research areas, this thesis provides a prototype for an external resource based search solution. The experimental results show external resources can play a key role in enriching IR.
Integrating traditional healers into a tuberculosis control programme in Hlabisa South Africa.

Our findings suggest that traditional healers are a potentially important resource to integrate into TB control programmes. In Hlabisa alone there are 290 traditional healers across the district. In Africa south of the Sahara the ratio of traditional healers to the population is approximately 1:500 in contrast to the doctor to population ratio of 1:40000. Perhaps the greatest hurdle to overcome in developing a closer working relationship between traditional healers and health authorities is the level of distrust that still exists between some members of the two groups. It has also been our impression from meetings with other researchers and health care providers from Africa that there is substantial reluctance to accept the idea of working with traditional healers. (excerpt)
Heart disease prediction system using k-Nearest neighbor algorithm with simplified patient's health parameters

Heart disease is the primary cause of death nowadays. Treatments of heart disease patients have been advanced, for example with machine-to-machine (M2M) technology to enable remote patient monitoring. To use M2M to take care remote heart disease patient, his/her medical condition should be measured periodically at home. Thus, it is difficult to perform complex tests which need physicians to help. Meanwhile, heart disease can be predicted by analysing some of patient's health parameters. With help of data mining techniques, heart disease prediction can be improved. There are some algorithms that have been used for this purpose like Naive Bayes, Decision Tree, and k-Nearest Neighbor (KNN). This study aims to use data mining techniques in heart disease prediction, with simplifying parameters to be used, so they can be used in M2M remote patient monitoring purpose. KNN is used with parameter weighting method to improve accuracy. Only 8 parameters are used (out of 13 parameters recommended), since they are simple and instant parameters that can be measured at home. The result shows that the accuracy of these 8 parameters using KNN algorithm are good enough, comparing to 13 parameters with KNN, or even other algorithms like Naive Bayes and Decision Tree.
Adaptive dynamic path re-planning RRT algorithms with game theory for UAVs

The main aim of this paper is to describe an adaptive re-planning algorithm based on a RRT and Game Theory to produce an efficient collision free obstacle adaptive Mission Path Planner for Search and Rescue (SAR) missions. This will provide UAV autopilots and flight computers with the capability to autonomously avoid static obstacles and No Fly Zones (NFZs) through dynamic adaptive path replanning. The methods and algorithms produce optimal collision free paths and can be integrated on a decision aid tool and UAV autopilots.
Image indexing based on web page segmentation and clustering

Thousands of images are nowadays available on the web. These images are accompanied by a wide range of textual descriptors, such as image file names, anchor texts and, of course, surrounding text. Existing systems that attempt to mine information for images using surrounding text suffer from several problems, such as the inability to correctly assign all relevant text to an image and discard the irrelevant. In this paper, we propose a novel method for indexing web images which is based on textual descriptors. The web document is segmented into visual blocks of text and then each block of text is assigned to the closet image. The text extraction is improved by assigning the text to an image following the intuitive understanding of how close two visual blocks are. The evaluation confirms the validity of the proposed method and demonstrates its possible extensions.
Acupuncture to Prevent Prolonged Postoperative Ileus: A Randomized Controlled Trial

ABSTRACT Background: Prolonged postoperative ileus (PPI) is the inability to tolerate an oral diet, pass flatus, or have a bowel movement after postoperative day 3. Acupuncture has been used to treat gastrointestinal problems. Objective: To determine if acupuncture is effective in preventing PPI among cancer patients undergoing ileostomy/colostomy closure. Design, Setting, and Patients: Randomized clinical trial comparing bowel function, quality of life, and cost between inpatients treated with acupuncture after surgery and controls (no acupuncture). Participants (n = 78) were recruited from the Department of Surgical Oncology at the University of Texas M. D. Anderson Cancer Center between September 2003 and March 2006. All participants completed follow-up. Intervention: Patients in the treatment group (n = 38) received acupuncture twice a day, starting on postoperative day 1, for up to 4 consecutive days. Main Outcome Measures: Outcomes measured included bowel function, pain, use of opioid analgesics, na.
Tarot for writers

Kick-start your creativity as a writer by calling upon the inspirational powers of the tarot. Used by famous authors such as Stephen King and John Steinbeck, tarot is an excellent tool for unleashing creative thinking and imagination. Applicable to short stories, poetry, non-fiction, novels, and more, this unique guide will enliven your writing at every stage, from fleshing out a premise to submitting a proposal. Breathe new life into an existing project; brainstorm character, dialogue, and plot development ideas; and, break through writer's block-all with idea-stimulating tarot spreads and card descriptions. Featuring a clear introduction to all 78 cards in the tarot deck, this down-to-earth guide is fun and accessible for all, from beginners to advanced users. Try your hand at writing prompts and exploratory games that call upon the archetypal imagery and rich symbolism in each tarot card . and let the wellspring of inspiration flow!
RLIDS Based Goal Improvement in Emotional Control

In this paper, a goal improvement approach based on experiences for handling external disturbances is proposed. The suggested method uses reinforcement learning by an actor-critic mechanism in order to adapt the system to disturbance and uncertainty. Goal improvement is achieved via IDS. IDS is a powerful method in information-handling processes. It has a fast convergence and simple underlying, away from complex formulas. Temporal Difference (TD) learning is utilized in updating both Stress-Evaluator and the goal of emotional controller. As a benchmark to evaluate our method, inverted pendulum and simple submarine systems are used. Results show that the proposed method responds better to external tackling disturbances in comparison with the former fixed goal model.
Avaliação nutricional do paciente cirrótico: comparação entre diversos métodos Nutritional evaluation of cirrhotic patients: comparison between several methods

Aims: To compare the differents methods of nutritional assessment for classification of malnutrition in cirrhotic patients. Methods: Cirrhotic patients were studied in the Complexo Hospitalar da Irmandade Santa Casa de Misericordia de Porto Alegre, Porto Alegre, RS, Brazil. The methods used for nutritional assessment were anthropometry, body mass index, triceps skinfold thickness, mid-upper arm circumference and mid-arm muscle circumference, subjective global assessment, hand grip strength dynamometer measurement and adductor pollicis muscle thickness. Results: We studied 119 adult outpatients with an average age of 56.3±12.0 years, of whom 67 (56.3%) were men. The most frequent etiologies of cirrhosis were: hepatitis C (42%) and alcohol (25.2%). According the severity of the disease classified by Child-Pugh score, 72 patients (60.5%) were A, 43 (36.1%) were B, and 4 (3.4%) were C. The method of nutritional assessment that identified more malnourished patients was the hand-grip strength dynamometer measurement (58.8%), followed by triceps skinfold thickness (34.5%), mid-upper arm circumference (31.1%), mid-arm muscle circumference (29.4%), adductor pollicis muscle thickness (14.3 %), subjective global assessment (6.7%) and body mass index (5.9%). No method detected the association of malnutrition with the severity of disease assessed by Child-Pugh score. Conclusions: Nutritional assessment in cirrhotic patients had a wide variation between the different methods, and the hand grip strength dynamometer measurement was the method that best identified malnutrition. A method of nutritional assessment considered the gold standard for these patients still does not exist. We suggest the combined use of methods of nutritional assessment associated with functional assessment for patients with cirrhosis.
The problem state bottleneck: modeling the behavoral and neural signatures of a cognitive bottleneck in human multitasking

Deze samenvatting, en ook grote delen van dit proefschrift, zijn geschreven met behulp van het programma ‘Concen- trate’1. Concentrate is geen normaal programma, het kan niet gebruikt worden om mee te chatten, te schrijven, of te internetten. Nee, Concentrate zorgt er juist voor dat er niet teveel dingen tegelijkertijd gedaan kunnen worden, het dwingt monotasking af. Want terwijl in onze samenleving multitasken langzamerhand tot de standaard wordt verheven – hoe vaak zie je wel geen bellende fietsers? – hebben wetenschappers juist laten zien dat mensen vaak minder goed presteren als ze meerdere dingen tegelijkertijd doen. Dit proefschrift gaat over een van de oorzaken van multitaskingproblemen: een beperking in het verwerken van tussenresultaten (bijvoorbeeld ‘3x = 12’ wanneer ‘3x – 7 = 5’ opgelost moet worden) . We laten zien dat als mensen een tussenresultaat voor meerdere taken tegelijkertijd moeten onthouden, hun prestatie op deze taken sterk vermindert. Volgens onze theorie worden de tussenresultaten namelijk opgeslagen in de zogeheten werkgeheugen-module in ons brein. Deze module kan echter maar een tussenresultaat tegelijkertijd opslaan, en fungeert dus als een beperkende factor in het multitasken wanneer mensen meerder tussenresultaten nodig hebben. Als dat het geval is moeten de tussenresultaten namelijk constant uitgewisseld worden tussen de werkgeheugen-module en het gewone geheugen. Deze uitwisseling kost tijd en kan soms misgaan, en leidt daarom tot een verminderde multitaskingprestatie. In deze samenvatting zal ik proberen duidelijk te maken hoe we deze beperking in het verwerken van tussenresultaten (door ons de problem state bottleneck genoemd) onderzocht hebben, en wat de specifieke resultaten waren. Ik zal eerst de onderzoeksmethoden toelichten die we gebruikt hebben, gevolgd door de resultaten en onze uiteindelijke theorie.
Rendering in pen and ink

Arthur L. Guptill's classic "Rendering in Pen and Ink" has long been regarded as the most comprehensive book ever published on the subject of ink drawing. This is a book designed to delight and instruct anyone who draws with pen and ink, from the professional artist to the amateur and hobbyist. It is of particular interest to architects, interior designers, landscape architects, industrial designers, illustrators, and renderers. Contents include a review of materials and tools of rendering; handling the pen and building tones; value studies; kinds of outline and their uses; drawing objects in light and shade; handling groups of objects; basic principles of composition; using photographs, study of the work of well-known artists; on-the-spot sketching; representing trees and other landscape features; drawing architectural details; methods of architectural rendering; examination of outstanding examples of architectural rendering; solving perspective and other rendering problems; handling interiors and their accessories; and finally, special methods of working with pen including its use in combination with other media. The book is profusely illustrated with over 300 drawings that include the work of famous illustrators and renderers of architectural subjects such as Rockwell Kent, Charles Dana Gibson, James Montgomery Flagg, Willy Pogany, Reginald Birch, Harry Clarke, Edward Penfield, Joseph Clement Coll, F.L. Griggs, Samuel V. Chamberlain, Louis C. Rosenberg, John Floyd Yewell, Chester B. Price, Robert Lockwood, Ernest C. Peixotto, Harry C. Wilkinson, Bertram Grosvenor Goodhue, and Birch Burdette Long. Best of all, Arthur Guptill enriches the text with drawings of his own. "From the Trade Paperback edition. "
Enhancing spectral synthesis techniques with performance gestures using the violin as a case study

En esta tesis se investigan nuevas tecnicas de sintesis de sonidos de instrumentos musicales, poniendo el violin como caso de estudio, Es una investigacion multidisciplinar que cubre varios campos como sintesis espectral, aprendizaje automatico, gestos musicales y acustica musical. Se ocupa de la produccion de sonido a traves de un enfoque muy empirico, basado en el analisis de gestos interpretativos musicales asi como en la medicion de propiedades acusticas del violin. Debido a las caracteristicas de los principales elementos vibradores del violin, el estudio se divide en dos partes, a saber, vibracion de la cuerda frotada y radiacion de sonido del cuerpo del violin.Respecto a la cuerda frotada, nos interesa modelar la influencia de los controles del arco en el espectro de la vibracion de la cuerda. Para poderlo llevar a cabo, se desarrollo un sistema de medida que permite la adquisicion de parametros de control de arco durante interpretaciones musicales reales. El analisis de estas interpretaciones permiten un mejor conocimiento del espacio de control, su uso por los violinistas y el efecto de dichos controles en el sonido producido. Ademas, tecnicas de aprendizaje automatico son usadas para disenar un modelo generativo de timbre que es capaz de predecir envolventes espectrales correspondientes a una secuencia de controles de arco. Estas envolventes pueden posteriormente ser rellenadas con componentes armonicos y con ruido para producir una senal sintetica de vibracion de la cuerda.En cuanto al cuerpo del violin, se diseno un nuevo metodo para medir respuestas acusticas a impulso, basado en grabaciones de glissandi y en un algoritmo de deconvolucion desenales no impulsivas.