Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating the clinical applications of visual evoked potentials in patients presenting with visual dysfunctions - A retrospective study

Background: The clinical applicability of visual evoked potential (VEP) tests has been progressively extending in neuro-ophthalmological workups. The role in monitoring and follow-ups are emerging as even more useful applications. Aims and Objectives: The present study aimed to assess the clinical role of pattern-reversal VEP (PRVEPs) in visual disorders with presumptive optic nerve involvement. Materials and Methods: PRVEP records of 58 patients with unilateral/bilateral visual loss in a study period of 1½ year were retrospectively analyzed. P100 latencies and N75-P100 amplitudes were compared with those of 60 age and sex-matched controls. Variations beyond three standard deviations were applied to define significant abnormalities. PRVEP records obtained by follow-up in some conditions were also assessed. Results: Traumatic optic neuropathy (32.76%) was the most common condition confronted, with major PRVEP finding as absent waveforms/reduced amplitudes. Monitoring of VEP records revealed improvement in 50% of patients on corticosteroid therapy. Functional visual disorders constituted 27.6% with 93.75% of subjects confirmed by PRVEP. Ethambutol-induced toxic optic neuropathy (20.69%) was associated with significant P100 delay bilaterally, in the majority. Out of which, 50% showed improved PRVEP records after 1 month of cessation of drug. Multiple sclerosis and optic neuritis though rarer conditions (3.44% and 6.89%, respectively) exhibited characteristic electrophysiological findings which helped confirming the diagnosis. Diabetic optic neuropathy (3.4%) and some very rare conditions also constituted the referrals. Conclusion: VEPs provides sensitive adjuncts to diagnosis in various visual disorders and contributes as important monitoring tools for objectively assessing the recovery and ophthalmological status.
Optimization of Process Parameters for Production of Alkaline Protease by OVAT Method Using Isolated Strain Alternaria alternata TUSGF1

Aim: The current study aimed at studying the optimum fermentation conditions and nutritional conditions for alkaline protease production by submerge fermentation using Alternaria alternata TUSGF1, isolated from poultry farm soil. Study Design: The results of environmental and nutritional parameters for protease production by OVAT method was analyzed by origin 6.1 software. Place and Duration of Study: Department of Food technology and Biochemical Engineering, Jadavpur University, Kolkata, West Bengal, India between March 2017 and May 2017. Methodology: A protease producing microorganism was isolated from a poultry farm soil and identified as Alternaria alternata TUSGF1. Various environmental and nutritional process parameters such as volume of medium, fermentation time, temperature, age of inoculums, agitation and carbon sources and nitrogen sources were standardized for the maximum yield of alkaline protease. Results: The optimum conditions of protease activity was 30°C at volume of medium 60 ml with 7 days age of inoculum in the medium containing 168 h of incubation and 120 rpm agitation rate. Peptone, casien, skimmed milk, urea and yeast extract were good nitrogen sources whilst maltose, fructose, starch, and sucrose were appropriate for enzyme production by submerge fermentation. Conclusion: Alkaline protease production by a newly isolated Alternaria alternata TUSGF1 from poultry farm soil was studied in shake flask conditions by submerge fermentation. It was established that the optimum protease production was recorded at 30°C, 60 ml volume of medium leaves and incubation time of 168 h. The best carbon and nitrogen sources for protease production were fructose and casein, respectively.
Consumo de cannabis y otros factores ambientales en el primer episodio de psicosis

Se han identificado distintos factores ambientales de riesgo y predictores del curso de esquizofrenia. Entre los factores ambientales de riesgo, el consumo de cannabis y el haber sido victima de trauma infantil son los dos que despiertan mas interes. Entre los predictores del curso, la duracion de la psicosis sin tratar ha demostrado una relacion modesta con el curso de la enfermedad. En la presente tesis doctoral, constituida por el reagrupamiento de tres trabajos de investigacion publicados (Barrigon et al., 2010; Ruiz-Veguilla et al., 2012; Ruiz-Veguilla et al., 2013) y uno enviado para publicar (Barrigon et al.), se replican hallazgos relativos a la confirmacion de los dos factores de riesgo mencionados y se estudian algunos factores que pueden influir en la duracion de la psicosis sin tratar.
The New Handbook of Counseling Supervision

Contents: Preface. Supervision Models and Principles. Initial Supervisory Sessions. Supervision Interventions. Group Supervision. Supervisory Relationship and Process Issues. Ethical Issues in Supervision. Evaluation of the Supervisee. Technology in Supervision. Appendices: Standards for Counseling Supervisors. Curriculum Guide for Training Counseling Supervisors. Ethical Guidelines for Counseling Supervisors. (Dye & Borders, 1990) Standards for Counseling Supervisors Association for Counselor Education and Supervision. (Borders et al, 1991) Curriculum Guide for Training Counseling Supervisors Association for Counselor Education and Supervision. (Hart et al, 1995) Ethical Guidelines for Counseling Supervisors Association for Counselor Education and Supervision.
Social Environment: Towards an Intuitive User Interface

In this paper we describe a scenario for a so called “Social Environment” which allows for a more intuitive man-machine communication by using the entire space in front of a large back-projection screen. Computer vision, recognizing movements, gestures and posture, and speech recognition are used, placing the user in a non-intrusive environment. The interaction is related to the location and movement of the user within this space and is described in two exemplary applications. For a pointing gesture we will describe a simple algorithm that is based on the intersection of planes. The interface has a special focus on the needs of people in creative fields such as visual arts or film.
The Quality-Volume Relationship: Comparing Civilian and MHS Practice

Abstract : The literature shows that the best outcomes occur when patients get their health care in high-volume settings. High-volume surgeons are more proficient. High volume hospitals are safer. These findings have changed how civilian health care is delivered. Civilian hospitals, insurance companies, governments, and institutions all focus on volume as an indicator of quality. The Military Health System (MHS) lags by comparison. Fewer MHS patients have their procedures in high-volume settings. MHS also misses opportunities to consolidate low-volume hospitals into higher-volume regional facilities. For many product lines, most operations are done by surgeons who perform the procedure infrequently. There are nearly 10 million TRICARE beneficiaries, and thus ample opportunities for MHS to set up high-volume center of excellence programs to meet existing beneficiary demand for services. Such initiatives could improve average patient outcomes while supporting clinical currency for MHS physicians.
Budgeted Classification-based Policy Iteration

This dissertation is motivated by the study of a class of reinforcement learning (RL) algorithms, called classification-based policy iteration (CBPI). Contrary to the standard RL methods, CBPI do not use an explicit representation for value function. Instead, they use rollouts and estimate the action-value function of the current policy at a collection of states. Using a training set built from these rollout estimates, the greedy policy is learned as the output of a classifier. Thus, the policy generated at each iteration of the algorithm, is no longer defined by a (approximated) value function, but instead by a classifier. In this thesis, we propose new algorithms that improve the performance of the existing CBPI methods, especially when they have a fixed budget of interaction with the environment. Our improvements are based on the following two shortcomings of the existing CBPI algorithms: 1) The rollouts that are used to estimate the action-value functions should be truncated and their number is limited, and thus, we have to deal with bias-variance tradeoff in estimating the rollouts, and 2) The rollouts are allocated uniformly over the states in the rollout set and the available actions, while a smarter allocation strategy could guarantee a more accurate training set for the classifier. We propose CBPI algorithms that address these issues, respectively, by: 1) the use of a value function approximation to improve the accuracy (balancing the bias and variance) of the rollout estimates, and 2) adaptively sampling the rollouts over the state-action pairs.
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A CRISPR Interference of CBP and p300 Selectively Induced Synthetic Lethality in Bladder Cancer Cells In Vitro

The transcriptional coactivator CREB-binding protein (CBP) and p300 are adenoviral E1A-binding proteins involved in various cellular processes, including embryonic development, homeostasis, cell differentiation and transcription activation. Previous study suggested that synthetic lethality between CBP and p300 inhibition in lung and hematopoietic cancers. However, the underlying mechanism of CBP and p300 paralog in bladder cancer remains unknown. In this study, we discovered that combined CBP and p300 inhibition impaired cell proliferation and induced apoptosis of bladder cancer cells and normal bladder urothelial cell via decreasing c-Myc expression. Then, we employed the dCas9-KRAB system, hTERT promoter and hUPII promoter to construct an CRISPR interference system which could specifically repress CBP and p300 expression and cause lethality in bladder cancer cells in vitro. The CRISPR interference system we constructed could specifically inhibit the progression of bladder cancer, providing a novel strategy to fight against bladder cancer.
Language dependency of candidate and reference voice coders in the STANAG 4591 selection procedure

When developing international standards for voice coding algorithms, it should be kept in mind that many different languages are likely to be used. Narrow band voice coders are sometimes subjectively experienced to suffer from language dependency: the performance of a coder (in terms of speech intelligibility) may depend on the language spoken. In the STANAG 4591 voice coder selection procedure, language dependency was included as a performance criterion. Out of nine candidate and reference vocoders, two were found to be significantly language dependent. By extension of the number of languages in the test from four to five, the sensitivity of the test was increased.
Linear transformation on x‐vector for text‐independent speaker verification

Total variability model-based i-vector and deep neural network-based embedding x-vector are both widely used for text-independent speaker verification. In this Letter, a novel model is proposed, which can contain information of both i-vector and x-vector by using parallel factor analysis. The authors aim to obtain a linear transformation expression for x-vectors based on background i-vectors and x-vectors, and consider the linearly transformed x-vector as the novel model, thus they name it as x l -vector. The novel x l -vector can maximise intra and minimise inner speaker variability, in addition, it can improve the system performance without latency. Experiments were conducted on NIST 2010 dataset, and in terms of equal error rate, they observe up to 37.27 and 53.38% relative improvement of the authors proposed x l -vector model compared to the i-vector and x-vector models, respectively.
Prevalence Of Gingivitis And Periodontitis In Mugappair Population – Chennai, Tamilnadu

Aims of this study were to assess the oral hygiene status and to determine the prevalence of gingival and periodontal diseases in patients visiting Thai Moogambigai dental college, Mugappair, Chennai, Tamil Nadu. A total of 7378 patients visited the dental college in the period of June 2010 to June 2011. They were evaluated by questionnaires related to oral hygiene practices and clinical examination by using oral hygiene index simplified (OHI-S),Gingival index and Russell’s periodontal index. Out of 7378 examined, 4011 were male patients and 3367 were female patients. Patients were divided in to two age groups (15-30 years and 31-60 years). Prevalence of gingival and periodontal diseases was 36% and 64% in male patients and 47% and 53% in female patients respectively. Male patients were more affected than female patients. Prevalence of Gingivitis and Periodontitis was highly significant in patients belonging to 31-60 years group. Good oral hygiene status was seen in 20% of total population examined. 30% had poor oral hygiene status and the rest 50% showed fair hygiene status.
CLUSTER ANALYSIS OF MEDICAL TEXT DOCUMENTS BY USING SEMI-CLUSTERING APPROACH BASED ON GRAPH REPRESENTATION

The development of Internet resulted in an increasing number of online text re-positories. In many cases, documents are assigned to more than one class and automatic multi-label classification needs to be used. When the number of labels exceeds the number of the documents, effective label space dimension reduction may signifi-cantly improve classification accuracy, what is a major priority in the medical field. In the paper, we propose document clustering for label selection. We use semi-clustering method, by considering graph representation, where documents are represented by vertices and edge weights are calculated according to their mutual similarity. Assigning documents to semi-clusters helps in reducing number of labels, further used in multilabel classification process. The performance of the method is examined by experiments conducted on real medical datasets.
An Automated Approach for Mapping Bug Reports to Source Code and Bug Triaging

: The bug means the coding mistake that occurs in the software developing stage. It may occurs because of many reasons and some of the reasons are version mismatch, network incompatibility, and unavailability of supporting documents. Then the system will cause incorrect or unexpected behavior in the program. And bug report means a user level description about a bug, which is affected on the computer program. A bug report mainly having a bug id, summery about a bug and a detailed description about the bug. A tool for ranking all the source files with respect to how likely they are to contain the cause of the bug would enable developers to narrow down their search and improve productivity. The ranking is done on the basis of comparing the source code and the bug report, here 19 features are considering for the bug mapping procedure. And bug triaging refers to the process of assigning a bug to the most appropriate developer in order to fix the bug. The process of bug triaging is based on the interest of the developer and the bug mapping history of each developer. And also avoiding the chances of occurrence of duplication in repository. This method is very useful for java projects working in the Netbeans, Eclipse, Tomcat platforms.
Sentiment Analysis Approaches on Different Data set Domain: Survey

The growth of social website and electronic media contributes vast amount of user generated content such as customer reviews, comments and opinions. Sentiment Analysis term is referred to the extraction of others (speaker or writer) opinion in given source material (text) by using NLP, Linguistic Computation and Text mining. Sentiment classification of product and service reviews and comments has emerged as the most useful application in the area of sentiment analysis. This paper focuses on the comparative study (1997 – 2012) of different sentiment classification techniques performed on different data set domain such as web discourse, reviews and news articles etc. The most popular approaches are Bag of words and feature extraction used by researchers to deal with sentiment analysis of opinion related to movies, electronics, cars, music etc. The sentiment analysis is used by manufacturers, politicians, news groups, and some organization to know the opinions of customer, people, and social website users.
A data sharing protocol for Desktop Grid projects

A membership function observation device capable of reducing the number of observation terminals and reducing the time required for measurement and control so that the interrelationship among membership functions can be understood. Pairs of membership functions output from the adjacent twos of a plurality of membership function generator circuits are supplied to respective minimum value circuits to obtain respective minimum values. These minimum values are supplied to a first maximum value circuit to obtain a maximum value. In turn, all the membership functions are supplied to a second maximum value circuit to obtain the maximum value of the membership functions. The outputs of the first and second maximum value circuits are synthesized to observe all the original membership functions at the same time.
An interactive multimodal facial animation system

These Ecole polytechnique federale de Lausanne EPFL, n° 1183 (1993)Institut des systemes informatiques et multimediasLaboratoire de realite virtuelle Reference doi:10.5075/epfl-thesis-1183Print copy in library catalog Record created on 2005-03-16, modified on 2017-05-12
I See You Sisters Like Yesterday Today: The Unnatural and Accidental Women

This paper argues that Marie Clements’ play, The Unnatural and Accidental Women, promotes a (re)creation of a women’s community that empowers women and nurtures individual identity. Inspired by the true story of women murdered by a serial killer in Vancouver, British Columbia, Clements focuses on the indigenous women victims whose stories were not told in the media.
A Novel Modified Turn-on Angle Control Scheme for Torque-ripple Reduction in Switched Reluctance Motor

In recent years, Switched Reluctance Motors (SRM) have been dramatically considered with both researchers and industries. SRMs not only have a simple and reliable structure, but also have low cost production process. However, discrete torque production of SRM along with intensive magnetic saturation in stator and rotor cores are the major drawbacks of utilizing in variety of industrial applications and also causes the inappropriate torque ripples. In this paper, a modified logical-rule-based Torque Sharing Function (TSF) method is proposed considering turn-on angle control. The optimized turn-on angle for conducting each phase is achieved by estimating the inductance curve in the vicinity of unaligned position and based on an analytical solution for each phase voltage equation. Simulation results on a four-phase switched reluctance motor and comparison with the conventional methods validates the effectiveness of the proposed method.
L’extraction d’entités nommées : une opportunité pour le secteur culturel ?

[etude] Les champs de metadonnees non structures tels que « description » offrent une plus-value considerable a la comprehension pour les utilisateurs finals. Neanmoins, leur caractere non structure les rend peu exploitables dans un contexte electronique et d’automatisation. Cet article explore les possibilites et les limitations de la reconnaissance d’entites nommees (« Named-Entity Recognition », NER) et de l’extraction terminologique (« Term Extraction », TE) dans la prospection de donnees non structurees afin d’en extraire des concepts significatifs. Ces concepts permettent de tirer parti d’une recherche et d’une navigation ameliorees, mais peuvent egalement jouer un role tres important dans la recherche en humanites numeriques. A travers une etude de cas basee sur les champs de description des archives historiques de la ville de Quebec, les auteurs, Simon HENGCHEN, Seth van HOOLAND, Ruben VERBORGH et Max DE WILDE, proposent une evaluation de quatre services tiers d’extraction d’entites afin de promouvoir l’experimentation de la reconnaissance d’entites nommees et l’extraction terminologique. Dans le but de couvrir autant le NER que la TE, ils utilisent, pour l’evaluation des entites nommees, une approche quantitative basee sur la precision, le rappel et le F-score calcules sur la base d’un referent manuel (« gold standard corpus »). Une seconde approche, plus qualitative, permet ensuite de prendre en compte la pertinence des termes extraits et aborde la question du multilinguisme.
Silver Phosphate/Graphene Oxide Aerogel Microspheres with Radially Oriented Microchannels for Highly Efficient and Continuous Removal of Pollutants from Wastewaters

Silver phosphate/graphene oxide aerogel microspheres (SGAMs) with radially oriented microchannels are constructed by electrostatically spraying the as-prepared silver phosphate/graphene oxide/chitosan (Ag3PO4/GO/CS) suspension into numerous microdroplets followed by freezing, lyophilization and cross-linking for highly efficient and continuous removal of pollutants from wastewaters. The resultant aerogel microspheres exhibit both high adsorption rate and large adsorption capacity because of their short internal diffusion pathway and high specific surface area. The synergy between adsorption and visible light photocatalysis endows the porous microspheres an outstanding efficiency of removing pollutants under both static and continuous water treatment conditions. Furthermore, the presence of graphene oxide (GO) efficiently improves the recyclability of Ag3PO4 due to the fast electronic transfer at the interface. More than 95% Rhodamine B (50 mg L–1) is adsorbed by SGAMs in 5 min, and bisphenol A (10 mg L–1).
Uso de Scratch y Lego Mindstorms como Apoyo a la Docencia en Fundamentos de Programación

Los cursos de pregrado relacionados con fundamentos de programacion de computadores tienen frecuentemente altas tasas de reprobacion. Por otro lado, el uso de material didactico tal como Scratch y Robots Lego, tienen un alto potencial para desarrollar una aplicacion mas tangible y concreta de las habilidades requeridas para la programacion. En este articulo presentamos la experiencia del curso de estos elementos en el curso de Fundamentos de Programacion, el cual esta dirigido a estudiantes de Ingenieria en Informatica de una universidad chilena. Los resultados muestran un incremento considerable en la tasa de aprobacion de los estudiantes que cursan la asignatura por primera oportunidad.
The Study of DBaaS Hub System for Integration of Database In the Cloud Environment

In the cloud environment, the company needs data integration and analysis to make decision and policy. If new system is added to this environment, a lot of time and cost is needed due to disparate properties among systems when data is integrated. Therefore, in this paper, we propose a DBaaS hub system for multi-database service. The DBaaS may require a different database and need data integration for relevant service. Using the ontology, we propose a metadata query to resolve the interoperability issues between data of DBaaS. The meta-query is not a query to access the real data, but the query for the upper level. This metho d provides data integration by accessing the data with the converted query through an ontology when we access the actual database.We also constructs a document-oriented database system using the metadata.