Miracle-dz/UniFAR-FTUs huggingface dataset:
COBRA , a Demo

COBRA is a tool for performing context-based reasoning in OWL ontologies, with an emphasis on its applications. COBRA is built on top of standard OWL reasoning tools, and uses the OWL-API, which makes it easy to use, maintain, and keep up-to-date with reasoning technologies. To understand the behaviour of COBRA, we must first explain the idea of context-based reasoning. We consider as input for the system an annotated OWL ontology. Intuitively, this annotated ontology is a compact representation of a class of ontologies, which we call contexts. More precisely, every axiom in an OWL ontology is annonated, using the owl:annotation tag, with a list of labels that express the contexts that this axiom belongs to. For example, if we have two contexts C1 and C2 containing axioms α1 and α2; and α2 and α3, respectively, then the annotated input ontology O will contain three axioms α1, α2, and α3 annotated with {c1}, {c1, c2}, and {c2}, respectively. One of the main goals of context-based reasoning is to identify the class of contexts that entail a given logical consequence. An obvious method for solving this reasoning problem would be to first extract all the different contexts from the annotated ontology, and perform standard reasoning in all of them. Given the speed of state-of-the-art OWL reasoners, this approach, in the following called the näıve approach produces a very efficient reasoning procedure for realistic OWL ontologies, assuming that the number of contexts is small. However, as the number of contexts grows, so does the total execution time of the näıve method, by a linear factor. To handle cases where the number of contexts is high (e.g., above a thousand) more effective methods based on axiom-pinpointing, for detecting large clusters of contexts entailing the consequence, through only one call to the reasoner, and a variant of Reiter’s Hitting Set Tree (HST) algorithm [3] for ensuring that all possible contexts have been detected through a systematic search. Specifically, we use the HST approach for computing the so-called boundary of a consequence described in [1]. Notice that in this case, the HST approach can be further optimized, since the background lattice required in [1] corresponds to the class of all sets of labels, with union and intersection as operators, which are easier to compute. COBRA implements the näıve and the HST methods via a sequence of blackbox calls to standard OWL reasoners. For the HST method, it must call a rea-
The Study of Moderated Mediating Model on SEM: Focusing on Expectancy Disconfirmation, Satisfaction and Continuous Usage Intention of LBS Application

This study examined the concept and usage moderated mediating model in structural equation modeling. The theoretical model and hypothesis were developed based on the Location-Based application's Expectancy disconfirmation, Location-Based application's satisfaction, Location-Based application's continuous usage intention, service trust. The statistical results of the two model were compared: one was free model(positive/negative) and the other was the Moderated Mediating Model(positive/negative). A structure equation model analysis was carried out to test the research model. Further studies are necessary to Ssupport the research hypotheses.
Factores que Influyen en el Aprendizaje del Idioma Inglés de Nivel Inicial en una Universidad Chilena

espanolEl objetivo de este estudio es conocer el efecto que tienen el profesor, las herramientas de apoyo y la dependencia educacional de procedencia en el aprendizaje del ingles. El impacto se midio a traves de un estudio descriptivo-correlacional, utilizando el Oxford Placement Online Test como pre y post a una muestra de 132 estudiantes de nivel inicial del idioma ingles de diversas carreras de la Universidad de Talca en Chile. Los estudiantes fueron divididos en cursos con tres herramientas de apoyo diferentes entre medicion. Los resultados indican que no hay diferencias significativas entre las herramientas de apoyo utilizadas en el rendimiento de los estudiantes. Tampoco se observa influencia al analizar la dependencia educacional de procedencia, siendo el profesor el unico factor que resulta relevante en este proceso. De esta forma se puede concluir que a pesar del desarrollo de sistemas computacionales para el aprendizaje, el profesor sigue siendo un factor determinante dentro de este ambito. EnglishThe aim of this study was to know the effects of the teacher, support tools and educational dependency on the process of teaching and learning of English. The impact was measured through a correlational descriptive study using the Oxford Placement Test as pre- and post-testing tool administered to a sample of 132 beginner level of English students, all belonging to different careers at the University of Talca in Chile. The results show no significant difference in the use of support tools or educational dependency in students’ performance. It is the teacher who emerges as the only relevant factor in this process. Thus, it can be concluded that despite the development of computer systems for learning, the teacher continues to remain a determining factor in this area.
Study and Implementation of a Two-Phase Interleaved Bidirectional DC/DC Converter for Vehicle and DC-Microgrid Systems

The objective of this paper is to implement a two-phase, interleaved, bidirectional DC/DC converter topology with an improved voltage conversion ratio for electric vehicle (EV) and DC-microgrid systems. In this study, a two-phase interleaved charge-pump topology is introduced to achieve a high voltage conversion ratio with very simple control circuits. In discharge mode, the circuit topology acts as a voltage-multiplier boost converter to achieve a high step-up conversion ratio (48 V to 240 V). In charge mode, the circuit topology acts as a voltage-divider buck converter to achieve a high voltage step-down conversion ratio (240 V to 48 V). The circuit configuration, operating principle, steady-state analysis and the closed-loop control of the proposed converter are presented. Experiments conducted on a laboratory prototype with 500 W power-rating are presented to verify the effectiveness. The maximum efficiency levels in discharge and charge modes are about 97.7% and 98.4% respectively.
AgriAcT: Agricultural Activity Training using multimedia and wearable sensing

There has been immense work in past on the human activities detection and context recognition using the wearable sensing technologies. However, a more challenging problem of providing training on the activities to the users with the help of wearable sensors has not been adequately attempted. Specially, in the agriculture applications, an appropriate training to the farmers on performing the agricultural activities would result in the sustainable agriculture practices for achieving higher and better quality yield. In this paper, a novel first-of-a-kind, multimedia and wearable sensors based Agricultural Activity Training (AgriAcT) system has been proposed for the dissemination of agricultural technologies to the remotely located farmers. In the proposed system, a training video of an expert farmer performing an activity is captured along with the gesture data obtained from the wearable motion sensors from the expert's body while the activity is being performed. A trainee farmer, can learn a selected activity by watching the multimedia content of the expert performing that activity on the mobile phone and subsequently perform the activity by wearing the required motion sensors. We present a novel K-Nearest Neighbor based Agriculture Activity Performance Score (KAAPS) engine to generate an Activity performance score (AcT-Score) which suggest how efficiently the activity had been performed by the trainee as compared to the expert's performance. The exhaustive experimental results by collecting data from eight experts and ten trainees for two different activities are used to present the inferences on the impact made by the Act-Score on the performance of the trainee farmers.
A Machine Learning System for Understanding Appraisal in Design Documents

This thesis describes a machine learning system for understanding appraisal in design documents. In linguistics, analysis of attitudes expressed in text is known as appraisal, which is the writer's subjective attitude (i.e., the opinion, sentiment or attitude expressed) toward the semantic meaning. Semantic orientation is the aspect of appraisal that expresses the positive or negative stance of the author to the semantic meaning. Computational linguistics methods have been introduced into the area of understanding appraisal. In computational linguistics, the analysis of appraisal is known as sentiment
DEFINING RELATIONS IN PRECISIATION OF NATURAL LANGUAGE PROCESSING FOR SEMANTIC WEB

As we know people using semantic web which facilitates them to organize, locate and process content. The content access by people comfortably is the natural language which we all use in our day to day life. The Semantic Web aims at complementing the current text-based web with machine interpretable semantics to facilitate automated processing and integration of the vast amount of available information. Given the enormous amount of textual data that is available online, it seems natural that these methods rely largely on the use of natural language processing techniques. The field of NLP has matured over the last decade to a point at which robust and scalable applications are possible in a variety of areas, and current Semantic Web projects are now poised to exploit this development. In this paper we define relations enables precisiation of natural language for question answer systems and to deduce answers for questions.
ANALYSIS OF FLEXIBLE MULTIPLIER USING RAZOR BASED DYNAMIC VOLTAGE SCALING FOR FILTER DESIGN

In this paper, we present flexible multiprecision multiplier that combined variable precision, parallel processing (PP), razor based dynamic voltage scaling (DVS), and dedicated MP operand scheduling to provide optimum performance for variety of operating conditions. All of the building blocks of proposed flexible multiplier can either work as independent small precision multiplier or parallel to perform higher-precision multiplier. While still maintain full through-put, the dynamic voltage and frequency scaling management unit configures the multiplier to operate at the proper precision and frequency. Adapting to the run-time workload for targeted application, that flexible multiplier can used to design IIR filter for DSP application. Razor flip-flops together with a dithering voltage unit then configure the multiplier to achieve the lowest power consumption. The single-switch dithering voltage unit and razor flip-flops help to reduce the voltage margin and over head typically associated to DVS to lowest level. Finally, the proposed high speed flexible multiplier can further benefits from an operand scheduler that rearranges the input data, hence determine the optimum voltage and frequency operating conditions for minimum for power consumption. As well suited to design IIR filter design for DSP application. KeywordsComputer arithmetic, dynamic voltage scaling, low power design, multi-precision multiplier.
The Effect of Equisetum Arvense (Horse Tail) Ointment on Wound Healing and Pain Intensity After Episiotomy: A Randomized Placebo-Controlled Trial

Background: Episiotomy, a common surgical practice in midwifery, is accompanied with high levels of pain and discomfort for mothers. The importance of medicinal herbs and traditional medicine in wound healing cannot be neglected. Objectives: Considering the positive effects and easy accessibility of Equisetum arvense, this study examined the effectiveness of topical application of Equisetum arvense ointment in wound healing, reduction of inflammation and pain relief after episiotomy in nulliparous mothers. Patients and Methods: This double-blind clinical trial was performed on 108 postpartum nulliparous mothers (54 women in horsetail group and 54 women in placebo group) in Alzahra Educational-Medical Center (Tabriz, Iran). About 5 ± 1 and 10 ± 1 days after the childbirth, the primary outcomes of episiotomy, i.e. wound healing and pain intensity, were assessed based on redness, edema, ecchymosis, discharge and approximation of the edges (REEDA) scale and a visual analogue scale (VAS), respectively. The secondary outcomes evaluated in the current research were the number of used painkillers and the adverse events during the 10-day period of the study. Data was analyzed using independent t and Mann-Whitney U tests. Results: The case and control groups had no significant differences in for the mean wound healing score (5.0 ± 1.6 vs. 4.1 ± 1.6) and mean pain intensity (5.7 ± 2.4 vs. 5.3 ± 2.2) at baseline. During both follow-up sessions (5 ± 1 and 10 ± 1days after delivery), the mean scores were significantly lower in the case group than the control group. The adjusted pain score difference (MD) after 5 ± 1 and 10 ± 1 days was -2.3 (95% CI: -3.2 to -1.3) and 3.8 (95% CI: -4.7 to -3.0), respectively. The mean numbers of acetaminophen pills used in the control and case groups during the 10-day period of the study were 6.8 ± 4.4 and 11.6 ± 7.1, respectively (P < 0.001). Conclusions: According to our findings, 3% Equisetum arvense ointment promoted wound healing and relieved pain during the 10-day period after episiotomy. Since this study was the first to assess the effects of Equisetum arvense ointment on wound healing and pain intensity following episiotomy in humans, further research is warranted to fully clarify the beneficial effects of prepared ointment.
Prepubertal Exposure to Genistein Alleviates Di-(2-ethylhexyl) Phthalate Induced Testicular Oxidative Stress in Adult Rats

Di-(2-ethylhexyl) phthalate (DEHP) is the most widely used plastizer in the world and can suppress testosterone production via activation of oxidative stress. Genistein (GEN) is one of the isoflavones ingredients exhibiting weak estrogenic and potentially antioxidative effects. However, study on reproductive effects following prepubertal multiple endocrine disrupters exposure has been lacking. In this study, DEHP and GEN were administrated to prepubertal male Sprague-Dawley rats by gavage from postnatal day 22 (PND22) to PND35 with vehicle control, GEN at 50 mg/kg body weight (bw)/day (G), DEHP at 50, 150, 450 mg/kg bw/day (D50, D150, D450) and their mixture (G + D50, G + D150, G + D450). On PND90, general morphometry (body weight, AGD, organ weight, and organ coefficient), testicular redox state, and testicular histology were studied. Our results indicated that DEHP could significantly decrease sex organs weight, organ coefficient, and testicular antioxidative ability, which largely depended on the dose of DEHP. However, coadministration of GEN could partially alleviate DEHP-induced reproductive injuries via enhancement of testicular antioxidative enzymes activities, which indicates that GEN has protective effects on DEHP-induced male reproductive system damage after prepubertal exposure and GEN may have promising future in its curative antioxidative role for reproductive disorders caused by other environmental endocrine disruptors.
Arbovirus Prevalence in Mosquitoes, Kenya

Few studies have investigated the many mosquito species that harbor arboviruses in Kenya. During the 2006–2007 Rift Valley fever outbreak in North Eastern Province, Kenya, exophilic mosquitoes were collected from homesteads within 2 affected areas: Gumarey (rural) and Sogan-Godud (urban). Mosquitoes (n = 920) were pooled by trap location and tested for Rift Valley fever virus and West Nile virus. The most common mosquitoes trapped belonged to the genus Culex (75%). Of 105 mosquito pools tested, 22% were positive for Rift Valley fever virus, 18% were positive for West Nile virus, and 3% were positive for both. Estimated mosquito minimum infection rates did not differ between locations. Our data demonstrate the local abundance of mosquitoes that could propagate arboviral infections in Kenya and the high prevalence of vector arbovirus positivity during a Rift Valley fever outbreak.
Dual-Collector Lateral Bipolar Magnetotransistor: Negative Sensitivity and Galvanomagnetic Effects

The results of measurement of the dual-collector lateral bipolar magnetotransistor, generated in a uniformly doped substrate or in a diffused well were compared and it was established that the collector voltage difference under the influence of a magnetic field has a different sign. The effect is interpreted using the concept of the magnetic sensitivity sign. By means of device-technological simulation we investigated the distribution of charge carriers, current density and recombination speed in a magnetotransistor generated in a well with external connection of substrate and well contacts. It is shown that at a planar arrangement of substrate contacts is responsible for the volumetric concentration-recombination mechanism of negative relative magnetic sensitivity due to Galvanomagnetic effects.
Las cosas no siempre son lo que parecen: Uso inapropiado de las estadísticas en los deportes y las investigaciones de salud

espanolLas estadisticas son a veces objeto de abusos en la investigacion en deporte y salud. Al igual que hay muchos medios excelentes y muy utiles para transformar los datos, tambien hay varias tecnicas que llevan a la confusion. Independientemente de que estos errores sean intencionales o no, el resultado final es el mismo en el sentido de que influyen negativamente sobre practica clinica y el avance de la ciencia. Por desgracia, la revision por los pares no siempre es capaz de sacar a la luz estos errores. Por lo tanto, la publicacion de un manuscrito no garantiza que los datos que contiene hayan sido analizados correctamente. Por otra parte, estas practicas incorrectas pueden a veces ser tomadas como modelo por los estudiantes e investigadores noveles que citan trabajos anteriores y asumen que la tecnica es aceptable "porque estudios anteriores en este area las han utilizado". El proposito de este documento es describir algunas de estas practicas. Con este documento pretendemos aumentar la conciencia acerca de estas tecnicas, asi como alentar a los investigadores a utilizar sus propias habilidades de pensamiento critico. EnglishStatistics are sometimes abused in sport and health research. Just as there are many excellent and extremely useful ways to transform data, there are also several techniques that lead to misinformation. Regardless of whether these mistakes are intentional or unintentional, the end result is the same in the sense that it negatively influences clinical practice and the advancement of science. Unfortunately, peer review does not always catch these mistakes. Thus, publication of a manuscript does not guarantee that the data were analyzed properly. Furthermore, these incorrect practices can sometimes be adopted by students and beginning researchers that cite previous work and assume that the technique is acceptable “because previous studies in this area have used it”. The purpose of this paper is to describe some of these practices. It is our hope that this paper will increase awareness of these techniques, and encourage researchers to use their own critical thinking skills.
Real-time event based visualization of multivariate abstract datasets : Implementing and evaluating a dashboard visualization prototype

As datasets in general grow in size and complexity over time while the human cognitive ability to interpret said datasets essentially stays the same, it becomes important to enable intuitive visualization methods for analysis. Based on previous research in the field of information visualization and visual analytics, a dashboard visualization prototype handling real-time event based traffic was implemented and evaluated. The real-time data is collected by a script and sent to a self-implemented web server that opens up a websocket connection with the dashboard client where the data is then visualized. Said data consisted of transactions and related metadata of an ecommerce retail site applied to a real customer scenario.The dashboard was developed using an agile method, continuously involving the thesis supervisor in the design and functionality process. The final design also depended on the results of an interview with a representative from one of the two target groups. The two target groups consisted of 5 novice and 5 expert users to the field of information visualization and visual analytics. The intuitiveness of the dashboard visualization prototype was evaluated by conducting two user studies, one for each target group, where the test subjects were asked to interact with the dashboard visualization, answer some questions and lastly solving a predefined set of tasks. The time spent solving said tasks, the amount of serious misinterpretations and the number of wrong answers was recorded and evaluated.The results from the user study showed that the use of colors, icons, level on animation, the choice of visualization method and level of interaction were the most important aspects for carrying out an efficient analytical process according to the test subjects. The test subjects desired to zoom in on each component, to filter the contents of the dashboard and to get additional information about the components on-demand. The most important result produced from developing the dashboard was how to handle the scalability of the application. It is highly important that the websocket connection remain stable when scaling out to handle more concurrent HTTP requests. The research also conclude that the dashboard should handle visualization methods that are intuitive for all users, that the real-time data needs to be put into relation to historical data if one wishes to carry out a valid analytical process and that real-time data can be used to discover trends and patterns in an early-as-possible stage. Lastly, the research provides a set of guidelines for scalability, modularity, intuitiveness and relations between datasets.
MicroRNA-Regulated Proinflammatory Cytokines in Sarcopenia

Sarcopenia has been defined as the aging-related disease with the declined mass, strength, and function of skeletal muscle, which is the major cause of frailty and falls in elders. The activation of inflammatory signal pathways due to diseases and aging is suggested to reveal the critical impact on sarcopenia. Several proinflammatory cytokines, especially interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α), play crucial roles in modulation of inflammatory signaling pathway during the aging-related loss of skeletal muscle. MicroRNAs (miRNAs) have emerged as the important regulators for the mass and functional maintenance of skeletal muscle through regulating gene expression of proinflammatory cytokines. In this paper, we have systematically discussed regulatory mechanisms of miRNAs for the expression and secretion of inflammatory cytokines during sarcopenia, which will provide some novel targets and therapeutic strategies for controlling aging-related atrophy of skeletal muscle and corresponding chronic inflammatory diseases.
How and Why Affordable Virtual Reality Shapes the Future of Education

—This paper presents an analysis of how and why a new generation of virtual reality peripherals affect virtual reality in general, and its uses for education in particular. We describe a method to bring psychological principles, such as positive learning and cognitive dynamics into the best utilization of VR in the classroom and present the technique of emotional modulation aimed to help students in absorbing the information they are presented with more efficiently. Edutainment is made available by a range of new devices to support different modalities of interaction. We present taxonomy of low-cost, yet advanced IO devices and show how the future of education will be shaped by these factors. Finally, we describe an architecture called the Virtual Human Interface used as a generalized framework for building new educational content and conclude with showing practical examples and psychiatric evaluation of how our system was used to address real-life applications.