Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Olive Leaves and its Extracts by Two Methods on Diabetic Rats.

The present review was directed to research the impact of olive leaves and its concentrates by two strategies on diabetic rats, moreover, to decide the fundamental phenolic mixes display in dried olive takes off. The results showed that, the highest concentrations of phenolic compounds in dried olive leaves were Rutin, Quercetin and Oleuropein. Liver and kidney (weights), serum glucose, lipid profile except HDL-c, kidney functions and liver enzymes increased in diabetic group, than these of the control negative group. , On the other hand food intake, body weight gain (BWG%), HDL-c, superoxide dismutase (SOD) and glutathione peroxidase (GPx) decreased in diabetic group, than these of the control negative group. All treatments, with the two dosages of decoction extract, aqueous extract and olive leaves powder showed improve in all parameters, especially the groups which were treated with 4ml aqueous extract of olive leaves and 10% of olive leaves powder. In conclusion, olive leaves powder and olive leaves extracts improved the nutritional and biological status of diabetic rats.
SENTIMENT ANALYSIS OF REVIEWS USING HADOOP

Sentiment analysis is concerned with the automatic extraction of sentiment related information from text. Although most sentiment analysis model addresses commercial tasks, such as product reviews, there is increasing interest in the effective dimension of the social media websites. The current sentiment analysis models are not ideally suited for service reviews. This model will collect opinions of service users from social media; it will identify sentiment and process it. Hence, such model will be successful in the sense of performing than current ones.
Construction conjointe d’un corpus et d’un classifieur pour les registres de langue en français (Joint building of a corpus and a classifier for language registers in French)

Les registres de langue sont un trait stylistique marquant dans l’appréciation d’un texte ou d’un discours. Cependant, il sont encore peu étudiés en traitement automatique des langues. Dans cet article, nous présentons une approche semi-supervisée permettant la construction conjointe d’un corpus de textes étiquetés en registres et d’un classifieur associé. Cette approche s’appuie sur un ensemble initial et restreint de données expertes. Via une collecte automatique et massive de pages web, l’approche procède par itérations en alternant l’apprentissage d’un classifieur intermédiaire et l’annotation de nouveaux textes pour augmenter le corpus étiqueté. Nous appliquons cette approche aux registres familier, courant et soutenu. À l’issue du processus de construction, le corpus étiqueté regroupe 800 000 textes et le classifieur, un réseau de neurones, présente un taux de bonne classification de 87 %.
El conocimiento especializado del profesor de matemáticas como fruto del cambio

Varios son los posibles sujetos del cambio mencionado en el titulo. Uno puede ser el conjunto de investigadores en Educacion Matematica. Del interes en el aprendizaje, propio de mediados del siglo XX, se ha pasado a un amplio campo de intereses donde el conocimiento del profesor ha emergido, en el plano internacional, como una linea de investigacion a la que se han sumado muchos investigadores. Otros sujetos pueden ser los profesores, como los de nuestro grupo de investigacion educativa PIC (Proyecto de Investigacion Colaborativa), integrado por profesores de Educacion Infantil, Educacion Primaria y Educacion Secundaria, estudiantes de master y de doctorado, e investigadores, quienes (nos referimos a los profesores) al principio de nuestra comun andadura (ano 1999) eran reacios a cuestionarse su conocimiento matematico y al cabo de los anos reconocieron la necesidad de incrementar su conocimiento para posibilitar su desarrollo profesional.
Simulated speaking environments for language learning: insights from three cases

ABSTRACT Recent CALL technology reviews cover a plethora of technologies available to language learners to improve a variety of skills, including speaking. However, few technology-enhanced self-access tools are available for pragmatic development, especially in oral modality. Recognizing the benefits of structured practice for second language development, we demonstrate how such practice can be incorporated into three recently developed simulated speaking environments that vary on the targeted L2 (French, English), domain of use (academic or everyday interaction), emphasis on higher-order and/or lower-order skills, and accommodation of multiple L2 varieties. In the spirit of finding synergies and learning from each other's experiences in specific local contexts, we address the following research questions: (1) How does the local context, researcher and learner goals, and technological possibilities influence the design of each computer application? (2) Based on the examination of the three programs, what can we learn in view of redesign options and suggest to future developers of such programs?
Secure Palmprint Verification System

The usage of biometric characteristics (e.g., palmprints, fingerprints, irises) for individual recognition is becoming increasingly popular and many applications are already available. This form of recognition has many advantages over the traditionally used methods (e.g., password, smart card), because a biometric characteristic cannot be forgotten or shared, as it is intrinsically associated with the individual. However, due to this property, some security issues arise. One of the most concerning vulnerabilities in biometric recognition systems is that biometric templates, when stored in an unencrypted form, are an easy target for an attack. Once a biometric template is jeopardized, it cannot be reissued and the biometric characteristic associated to that template is compromised forever. An attacker could then gain access to all the services, applications or areas that use the same biometric characteristic. Since each individual has a limited number of biometric characteristics, some measures must be taken to overcome the security issues in biometric recognition systems. This dissertation presents a biometric recognition system with a secure template storage scheme. The generation of different templates based on the same biometric data is supported, as well as cancellable templates. Furthermore, it is not possible to recover the original biometric data from the data stored in the system’s database.
Infrastructure Update According to Schedule

Integrated xed-interv al timetables (IFIT) are a very simple class of periodic timetables. At selected stations, the trains of all lines meet at a pre-dened time. If the running times between the selected stations allow such a timetable, an IFIT can indeed represent an attractive service. But what happens, when the running times are not appropriate? In practice, running times are often adapted to match with the requirements of such an IFIT system | often involving a very expensive upgrade of the infrastructure. In addition to the cost of the investments, further drawbacks, such as a very inexible system showing a highly unbalanced utilization, are a consequence. Moreover, midterm maintenance can only be responded in a limited way. Finally, in some way, gradual improvements to the system are even obstructed. Instead of such infrastructure upgrades according to schedule, we propose to apply a exible planning software, which computes mathematically optimized periodic timetables, that meet the individual requirements of every planning period. This is the only adequate approach to implement the concept of the managing director of DB Personenverkehr GmbH: The hardware of a rail system are infrastructure and rolling stock, of which the timetable as exible software has to make most ecien t use (ETR 03/2004).
Simulação de realidade virtual imersiva no procedimento de punção venosa periférica para coleta de sangue a vácuo

SOUZA-JUNIOR, V. D. Immersive virtual reality simulation in the peripheral venipuncture procedure for vacuum blood collection. 2018. 132 p. Doctoral Dissertation. Ribeirão Preto College of Nursing, University of São Paulo, Ribeirão Preto, 2018. Peripheral venipuncture is the insertion of a peripheral venous device to access bloodstream, such as in blood collection for tests; although it is a common procedure in in-hospital treatment, it is complex and requires professional competence. Failure to perform this procedure may put the patient's health at risk, and may cause several complications to his/her treatment. This study aimed to develop and validate the first version of an immersive virtual reality (VR) simulator for the peripheral venipuncture procedure for vacuum blood collection in adult patient. Teaching strategies of peripheral venipuncture in nursing were verified through an integrative literature review. Then, a study with a methodological design was performed to develop and validate the first version of the simulator. The use of technological resources such as teaching strategies in nursing is expanding; however, the simulation with VR, mainly in the teaching of peripheral venipuncture, is still a vast field to be explored. The first version of a VR simulator for vacuum blood collection in adult patient was developed – VIDA-Enfermagem v1.0, which was evaluated by professionals and undergraduate nursing students. 79.6% of the items evaluated by the professionals and 66.7% of the items evaluated by the undergraduate students were considered valid. The suggestions proposed by the research subjects for system improvements, for the most part, may be included in the following versions. Although it was necessary to review several items, in the evaluation of the participants, the simulator was considered a promising and innovative tool for the teaching of the peripheral venipuncture procedure for vacuum blood collection in adult patients, for nursing undergraduate students who are beginning the study of the subject and technique, as a strategy to be combined with the resources already used in the teaching of the procedure. It is relevant to invest in innovative and motivating strategies for application in nursing teaching, especially with the use of immersive virtual reality.
Expression patterns of pathogenicity genes during Phytophthora pisi infection of pea roots

The genus Phytophthora (phylum Oomycota), contains destructive plant pathogens that cause enormous economic damage to many important crop species. These fungus-like microorganisms employ diverse mechanisms to break down plant defences. Understanding of the strategies by which these pathogens colonize their host is essential to establish improved methods for controlling Phytophthora infection. P. pisi is a new species of Phytophthora that causes root rot in pea and is a putatively devastating pathogen for cultivation of pea in many parts of the world. Furthermore, like other species of oomycetes such as P. infestans and P. sojae this species can be used as a model in molecular plant-microbe interactions research. This study was planned to provide an insight into the transcriptome of P.pisi during the infection process of pea roots and also on necrotic material. Thus, pea roots were inoculated with P. pisi and then harvested at six different time points. Colonization levels of P. pisi in pea roots as well as the expression of genes possibly involved in the infection process were monitored using different DNA-based methods (quantitative PCR and (RT)-PCR). Ten candidate pathogenicity genes were identified and sequenced for P. pisi and their expression was measured during the infection process using quantitative reverse transcription (RT)-PCR. The putative pathogenicity genes cystein protease (Pro1), putative endo 1,3; 1,4 beta glucanase (Glu1), phosphoenolpyrovate carboxykinase (Pck1), enzyme inhibitors (Gip1) and (Epi1), crinkler-like protein (Crn1) and putative ABC-transporter (Pdr1), were expressed during infection. Transcript levels of Pro1, Glu1, Pdr1 and Crn1 increased over the experimental period, while transcript profiles of Gip1 and Epi1 showed high expression during the first 2-6 hours following inoculation. No expression was detected for pyruvate dehydrogenase (Pdh1), or the putative effector genes Avr1b-1 or Nip1. In a follow-up experiment, Pro1 expression was higher during P. pisi growth on dead pea roots at 20 hours post-inoculation when compared with growth on living roots. Epi1 was only expressed on live host material. Domain structure analysis revealed that P. pisi Pro1 protease contains three conserved domains, a peptidase domain, an inhibitor domain and a lipid binding domain. Phylogenetic analysis of P. pisi protease revealed that this protein is most closely related to a homologue from P. sojae and likely belongs to a cathepsin-L-like group from the C1A subfamily of peptidases.
Oral health problems in patients receiving orthodontic treatment - A survey

Orthodontic treatments are done to correct malocclusions and craniofacial abnormalities, by providing proper alignment of teeth, provide harmony between occlusal and jaw relationship, help improve mastication, phonation, with beneficial effects on the general and oral health, individual’s comfort and selfesteem, and having a positive role in improving their quality of life. Orthodontic treatment is also done to improve their facial esthetics. [1] The main goal of this treatment is to improve dental occlusion and make teeth in proper alignment, which restores the normal function of dentition. [2] A persons occlusion status is generally determined by two major characteristics: Intra-arch relationship which is the relationship of the teeth each arch which leads to a smoothly curving Research Article
Online Integration of Semistructured Data

Data integration systems play an important role in the development of distributed multi-database systems. Data integration collects data from heterogeneous and distributed sources, and provides a global view of data to the users. Systems need to process user’s applications in the shortest possible time. The virtualization approach to data integration systems ensures that the answers to user requests are the most up-to-date ones. In contrast, the materialization approach reduces data transmission time at the expense of data consistency between the central and remote sites. The virtualization approach to data integration systems can be applied in either batch or online mode. Batch processing requires all data to be available at a central site before processing is started. Delays in transmission of data over a network contribute to a longer processing time. On the other hand, in an online processing mode data integration is performed piece-by-piece as soon as a unit of data is available at the central site. An online processing mode presents the partial results to the users earlier. Due to the heterogeneity of data models at the remote sites, a semistructured global view of data is required. The performance of data integration systems depends on an appropriate data model and the appropriate data integration algorithms used. This thesis presents a new algorithm for immediate processing of data collected from remote and autonomous database systems. The algorithm utilizes the idle processing states while the central site waits for completion of data transmission to produce instant partial results. A decomposition strategy included in the algorithm balances of the computations between the central and remote sites to force maximum resource utilization at both sites. The thesis chooses the XML data model for the representation of semistructured data, and presents a new formalization of the XML data model together with a set of algebraic operations. The XML data model is used to provide a virtual global view of semistructured data. The algebraic operators are consistent with operations of relational algebra, such that any existing syntax based query optimization technique developed for the relational model of data can be directly applied. The thesis shows how to optimize
Approaches for Improving Hindi to English Machine Translation System

Objectives: To provide approaches for effective Hindi-to-English Machine Translation (MT) that can be helpful in inexpensive and ease implementation of and MT systems. Methods/Statistical Analysis: Structure of the Hindi and English languages have been studied thoroughly. The possible steps towards the Natural languages have also been studied. The methods, rules, approaches, tools, resources etc. related to MT have been discussed in detail. Findings: MT is an idea for automatic translation of a language. India is the country with full of diversity in culture and languages. More than 20 regional languages are spoken along with several dialects. Hindi is a widely spoken language in all the states of country. A lot of literature, poetries and valuable texts are available in Hindi which gives opportunities to retranslate into English. However, new generation is learning English rapidly and also showing keenness to learn it in simplified lucid manner. Several efforts have been made in this direction. A large number of approaches and solutions exist for MT still there is a huge scope. The paper addresses the challenges of MT and solution efforts made in this direction. This motivates researchers to implement new Hindi-to-English Machine translation systems. Application/Improvements: Efficient, inexpensive and ease translation for available Hindi literature, poetries and other valuable texts into English. Children can easily learn the culture through the poetries and literatures hence the Machine Translation of these will bring wonderful impact.
Arbitrary-scales continuous wavelet transform for emotional voice conversion

Recently, the study of voice conversion (VC) has attracted wide attention in the field of speech processing. Many statistical approaches have been proposed for spectral conversion in the past few decades. Among these approaches, a Gaussian Mixture Model (GMM) has been commonly used. Other VC methods, such as those based on non-negative matrix factorization (NMF), have also been proposed. The NMF and GMM methods are based on linear functions. For better VC performance, the VC technique needs to train more complex nonlinear features, some approaches construct non-linear mapping relationships using neural networks (NNs) to train the mapping dictionaries between the source and target features [1], whereas others use deep belief networks (DBNs) to achieve non-linear deep transformation [2]. Results have shown that these deep architecture models have better performance than shallow conversion in some complex voice feature conversion. In our recent work [3], inspired by the ability of deep learning models to perform well in complex nonlinear feature conversion [2] and the ability of CWT to improve F0 feature conversion, we proposed a novel method that used NNs to train the CWTF0 for converting the prosody of the emotional voice. In the current paper, we extend our earlier work [3] to systematically capture the F0 features of different temporal scales, which can then represent different prosodic levels ranging from micro-prosody to the sentence levels. We achieve this by using the Arbitrary-scales-CWT(AS-CWT) method to decompose the F0 contour into several temporal scales, which can more approximately represent each level of individual prosodics. Given that the DBNs can effectively perform spectral envelope conversion, we train the MCC features for spectral feature conversion by using DBNs proposed by Nakashika et.al. [2]. We chose different models to separately convert the spectral features and F0 feature. This is be-
Ressource touristique et enjeux territoriaux évolution et re-définition de la route touristique des gorges de l'Ardèche

Considerant l'environnement du sud Ardeche, la route touristique des gorges fait figure d'axe structurant a plus d'un titre. Axe routier surplombant les falaises, elle donne a voir les gorges jusque la reservees a un nombre limite d'inities. Des le projet de construction, ces perspectives esthetiques s 'associent a des visees economiques, l'un des objectifs majeurs etant de capter les flux touristiques empruntant l'axe de la vallee du Rhone. Rapidement, cette fonction de distribution des flux va se traduire par une dissociation des plateaux rive gauche et rive droite, l'essentiel de l'activite se concentrant aux abords de la route touristique, essentiellement autour des noyaux preexistants, Vallon-Pont-d'Arc et Saint-Martin-d' Ardeche. Cette fonction structurante se retrouve dans la mise en place des mesures de preservation des gorges. Par un jeu de prevention/compensation, sa construction a alimente une reflexion en terme de protection des paysages, amenant a la creation de la reserve naturelle en 1980. Facteur de developpement touristique et element declencheur des politiques de protection de l'environnement, la route touristique apparait comme un axe structurant complexe autour duquel se greffent des politiques de rehabilitation aux orientations multiples. Ainsi, s'il est dans un premier temps question de corriger des modes de circulation, cette route est peu a peu envisagee comme levier de transformation des pratiques touristiques, dans la perspective plus generale d'asseoir la lisibilite du territoire des «gorges de l 'Ardeche».
Methods to Choose Best Metamorphic Relations

Software is an arrangement of directions used to perform particular undertaking. Errors happen in the product program and impact its quality, to beat this issue we utilize Software testing which guarantees its quality. Test prophet is utilized to recognize issues, yet it is not generally conceivable as it is regularly occupied and entirely costly. Without oracle, the viability of Software testing gets blocked. This is known as oracle issue. For instance when a project's input output relation is perplexing and difficult to catch formally. Metamorphic Testing has been proposed which is extremely pertinent in recognizing bugs without oracle and it depends on the properties of target capacity. These properties infer a few relations which creates follow-up experiments taking into account unique experiments that is source test cases. These relations are called metamorphic relations. The presentation of metamorphic relations in 1998, numerous commitments on metamorphic testing have been made, and the strategy has seen fruitful applications in an assortment of areas, going from web administrations to PC design. Metamorphic relations are generally in light of distinguished transformative relations and changeable relations are recognized physically by analyzers as there is no appropriate procedure to recognize them. Metamorphic relations are utilized to perlustrate a few projects viably. For any problem, more than one metamorphic relation is clarifying, distinctive transformative relations have curious viability in descry flaws, yet illustrating transformative relations can be strenuous. Good Metamorphic relations give viability in distinguishing bugs to lessen the expense. It is imperative to know how to develop and produce great metamorphic relations to spare time and assets. This paper audits its difficulties and strategies like experimental study, code scope, arrangement of metamorphic relations, mechanized metamorphic testing, change investigation to develop and produce likely Metamorphic relations. This paper has a substantial degree and gives rules to the development of good metamorphic relations and era of likely metamorphic relations to upgrade the capacity of uncovering disappointments and decrease the expense of testing report.