Reviewerly/exHarmony huggingface dataset:
Low cost EPTS (Electronic Performance &amp; Tracking System) development using IoT devices

Today is common the interest in monitoring the behavior of groups of different types in order to reach different objectives: improving individual and collective performance, tracing and monitoring, optimizing the performance of a task, pattern analysis, coordinated work, etc. In all these situations, we are faced with the challenge of equipping each person or entity with a device capable of collecting, storing and transmitting different parameters about their behavior for further analysis. Actually, there exist different EPTS (Electronic Performance & Tracking System), being usual applying them to study sport teams' behaviour. However, due to their elevated price and that previous infrastructure may be required, have led to the impossibility of using them, except for professional sport teams.Open-source electronic prototyping platforms' spreading, becoming cheaper sensors, and improving on wireless technologies, offer new opportunities on developing low cost EPTS. The present work focuses on the construction of a complete low-cost monitoring system, and consequently accessible for non-professional clubs or collectives, being this technology extrapolated to other non-sports fields. Compounding these systems and the application of appropriate software algorithms, will allow obtaining data related to the behavior of the individual with respect to the group, to improve his individual performance, resulting in a collective improvement in the execution of tasks.
Blueprint : Book Page Self-Holder / Azim Azri Zairus Effendi

Book Page Self-Holder is mainly targeted to students varying from elementary schools to higher-education institutions such as universities, colleges and matriculations. In addition, this product innovation also targets avid readers.The product is made from polycarbonate plastic. The reasons for choosing this material is because it have high strength making it resistant to impact and fracture, and further providing safety and comfort. It is also lightweight, easily worked, molded, and thermoformed. Book Page Self-Holder has functions and advantages not found in today's market, thus providing a competitive advantage over more established competitors
Application of Intelligent Recognition Technology in Image Processing

With the development of science and technology, intelligent recognition technology is more and more widely used in many industries, as well as in image processing. Making full use of related technologies can effectively improve the efficiency of image processing. However, due to the limitations of technology, there is still a lot of room for improvement in the application of related technologies. On the one hand, it can improve and optimize the intelligent recognition technology itself, on the other hand, it can improve the efficiency of image processing. In this paper, combined with the reality of image processing in China, the intelligent recognition technology is studied as the breakthrough point.
Automated Human Action Recognition Model

Human Activity Recognition (HAR) is an important research area in the field of computer vision and machine learning. Human activity recognition (HAR) is the outcome of a similar motive. Recent times have seen the theory of Human Activity Recognition (HAR) catering to multiple challenging applications built on the increase in ubiquitous, persuasive computing. Human Activity recognition has become an important technology that is changing the landscape of people’s daily routine contributing to a wide range of applications as assistive technology, health and fitness tracking, elder care and automated surveillance to name a few. However, as the field is rich in practical applications, the challenges emerging for activity recognition are multi fold. Human action recognition is defined as automatic understating of what actions occur in a video performed by a human.
An Empirical Study E-Mentoring Activities In Github Education Community

In this study, we focus on online programming communities, and we aim at identifying and understanding e-mentoring activities carried out in this context. We performed a qualitative study on an education community from GitHub and identified a total of 29 different activities organized into 9 categories of activities. The results of our study provide insights into e-mentoring activities performed in GitHub Education community. We compare these results to our previous study performed on Stack Overflow and discuss the (dis)similarities between these two online programming communities.
Imbalanced data classification using support vector machine based on simulated annealing for enhancing penalty parameter

For pattern cataloguing and regression issues, the support vector machine (SVM) is an eminent and computationally prevailing machine learning method.It's been effectively addressing several concrete issues across an extensive gamut of domains.SVM possesses a key aspect called penalty factor C. The choice of these aspects has a substantial impact on the classification precision of SVM as unsuitable parameter settings might drive substandard classification outcomes.Penalty factor C is required to achieve an adequate trade-off between classification errors and generalisation performance.Hence, formulating an SVM model having appropriate performance requires parameter optimisation.The simulated annealing (SA) algorithm is employed to formulate a hybrid method for evaluating SVM parameters.Additionally, the intent is to enhance system efficacy to obtain the optimal penalty parameter and balance classification performance at the same time.Our experiments with many UCI datasets indicate that the recommended technique could attain enhanced classification precision.
The Influence of Organizational Justice on Job Commitment in the Jordanian Ministries

The aim of this study was to investigate the impact of organizational justice on job commitment in Jordanian ministries. Data were collected through a questionnaire distributed to 450 employees in three Jordanian ministries, namely, the Ministry of Education; Ministry of Health; and Ministry of Awqaf Islamic Affairs and Holy Places. Data were analyzed via descriptive, simple linear regression analysis, and stepwise multiple linear regression analysis. The hypotheses of the research were tested and the probabilities of their acceptance were rejection. Findings revealed a statistically significant impact between organizational justice and job commitment. Results also indicated that informational justice has the highest influential effect on employee job commitment, while procedural justice had the lowest impact on it. Furthermore, this study reports differences between the dimensions of the (OJ) in their impacts on the dimensions of job commitment. Moreover, the study found that the three dimensions of organizational justice (information justice, personal justice, and distributive justice) combined had a higher predictive capacity of job commitment than that of any independent dimension or two dimensions of organizational justice. In view of the results, the researcher gives some recommendations to the decision makers in Jordanian ministries that may guide them to promote the concept and practice of organizational justice in their ministries such as the need for increasing the levels of organizational justice, especially the distributive justice, and focusing on compatibility of income of the employee with their academic level and practical experience, in addition to necessity of improving the system of rewards in the Jordanian ministries because the rewards have a significant impact on the employees' perception of justice and on her/his interest in supporting her/his colleagues when doing additional work in the ministry. In other respects, this study has practical implications for future research such as attracting attention to the need to study job satisfaction and job engagement as mediating variables of association of employee’s job commitment with organizational justice. This is in addition to conducting studies similar to the present one in different environments inside and outside Jordan.
Distributed representations for multilingual language processing

Distributed representations are a central element in natural language processing. Units of text such as words, ngrams, or characters are mapped to real-valued vectors so that they can be processed by computational models. Representations trained on large amounts of text, called static word embeddings, have been found to work well across a variety of tasks such as sentiment analysis or named entity recognition. More recently, pretrained language models are used as contextualized representations that have been found to yield even better task performances.Multilingual representations that are invariant with respect to languages are useful for multiple reasons. Models using those representations would only require training data in one language and still generalize across multiple languages. This is especially useful for languages that exhibit data sparsity. Further, machine translation models can benefit from source and target representations in the same space. Last, knowledge extraction models could not only access English data, but data in any natural language and thus exploit a richer source of knowledge.Given that several thousand languages exist in the world, the need for multilingual language processing seems evident. However, it is not immediately clear, which properties multilingual embeddings should exhibit, how current multilingual representations work and how they could be improved.This thesis investigates some of these questions. In the first publication, we explore the boundaries of multilingual representation learning by creating an embedding space across more than one thousand languages. We analyze existing methods and propose concept based embedding learning methods. The second paper investigates differences between creating representations for one thousand languages with little data versus considering few languages with abundant data. In the third publication, we refine a method to obtain interpretable subspaces of embeddings. This method can be used to investigate the workings of multilingual representations. The fourth publication finds that multilingual pretrained language models exhibit a high degree of multilinguality in the sense that high quality word alignments can be easily extracted. The fifth paper investigates reasons why multilingual pretrained language models are multilingual despite lacking any kind of crosslingual supervision during training. Based on our findings we propose a training scheme that leads to improved multilinguality. Last, the sixth paper investigates the use of multilingual pretrained language models as multilingual knowledge bases.
FonAPP: An Interactive Application for the Therapeutic Intervention of Children with Dyslalia from Embedded Devices and Robotic Assistants

According to various studies conducted in Cuenca, Ecuador, most school children with speech disorders have dyslalia pathologies. However, in Ecuador, most special education/rehabilitation centers continue to use traditional materials to carry out therapy sessions for children with dyslalia. This situation is due to the few existing tools commonly are developed in other countries (such as Spain) and not address the patient's needs (context, idiosyncrasy, and local vocabulary). For these reasons, we present an educational application that can be used by speech-language therapists during the therapy sessions (face-to-face or online). This tool is designed to be executed in both, desktop computers and embedded devices that control educational robots (such as Raspberry PI or similar boards). Currently, the application contains several exercises and activities related to the 27 phonemes of the Spanish language. In the same way, the application includes an Automatic Speech Recognition (ASR) module that can work with online/offline servers. To evaluate the accuracy and app features, we conducted an experiment with a team of experts in the speech-language therapy area.
Methodological challenges for digital ethnographers. Reflecting on teenager practices mediated by mobile devices: Reflecting on teenager practices mediated by mobile devices

espanolEste articulo aborda los desafios que enfrenta la etnografia digital al analizar practicas cotidianas especificas mediadas por dispositivos moviles que son parte de las culturas de ninos y jovenes. El uso de herramientas digitales requiere transformar las actividades de investigacion desde una doble perspectiva. En primer lugar, porque las practicas de comunicacion movil median en las practicas de ninos y adolescentes que les permiten participar en entornos en linea combinados con sus escenarios cotidianos fuera de linea. En segundo lugar, Internet y otras tecnologias digitales proporcionan nuevas herramientas EnglishThis paper focuses on the challenges digital ethnography faces when analyzing specific mobilemediated everyday practices that are part of children and youth cultures. The use of digital tools requires transforming research activities from a double perspective. Firstly, because children and adolescent practices are mediated by mobile communication tools that allow them to participate in online environments combined with their everyday offline scenarios. Secondly, the Internet and other digital technologies provide new analytical tools that interact with developmental and literacy theories and even transform the basic principles of traditional methodologies such as ethnography. We explore the methodological challenges taking our own research as an example. We focus on eleven workshops which took place in a community center and more specifically on Nadia, one of the nine-year-old girls who participated on those workshops. Focusing on the use of multimodal discourses we adopt the concepts of internal and external grammars of digital discourses and adopt several units of analysis (from macro to micro perspectives) to explore those
LibGuides at Priddy Library: ECED 360: Early Literacy: Search Strategies

Emerging literacy process in children, birth to age five. Examination of strategies, materials, and experiences for literacy development
Agile Approach to Assuring Software for NASA's Orion Spacecraft

Agile software development is prevalent throughout the Government, and NASA is no exception. NASA's Orion spacecraft is being developed to return Astronauts to the moon in the next 5 years, and the role of software in achieving the ambitious mission objectives has expanded dramatically in the last few decades. This presentation is the story of how the Independent Verification and Validation team for Orion adapted to the Agile approach that the Orion Program was using to develop the flight software. Consider attending this session if you are working with software developers utilizing Agile development approaches, or are interested in learning about Agile and Lean principles that could help improve communication within your own team.
Seerahbot: An Arabic Chatbot about Prophet’S Biography

Chatbots have become very popular in our times and are used in several fields. The emergence of chatbots has created a new way of communicating between human and computer interaction. In this study, we have developed a Chatbot in Arabic language, which is a program that can understand and analyze Arabic language. The Chatbot developed in this study contributes to its users about the Prophet’s biography and provide them with valuable information. SeerahBot will be the first chatbot dedicated to the Prophet’s biography. We implemented this system by using two methods first build retrieval based chatbot from scratch using natural language processing NLP and machine learning techniques and second technique we used a chatbot design platform. To facilitate access to SeerahBot, we have made it available on Telegram. SeerahBot was tested, and the results were acceptable.
APLIKASI SMARTPHONE SEBAGAI MEDIA PEMBELAJARAN BAHASA

The advance of technology grows very fast recently as newest trend where teachers must be able to utilize information, communication and technology (ICT) in learning. In this case is the use of smartphone applications. This study aims to determine the perceptions of students of the English Education Department Program on the use of smartphones as a language learning media. This study uses a qualitative approach. In collecting data, researchers used the data collecting technique such as; questionnaire, interview and observation. The results showed that various positive effects of usability smartphone , namely;  easier for students to access information and communication that support the learning process, interaction and collaboration with other students, supporting independent learning skills, and  increasing students’ motivation in studying.
Implementation of Fuzzy Mamdani Method in Diabetes

Fuzzy Logic is the extension of classical logic that has a value of vagueness or fuzziness between True and False. But how much true and Falsity of a value depends on the weight of its Membership value. To design a Fuzzy Logic in Diabetes of Human beings is focused in this paper. Generally Diabetes can occur when a body does not produce enough insulin or it cannot use insulin. This paper describes Mamdani Single Rule with Single Antecedent and Single rule with multiple antecedents with Fuzzy input value and Crisp input values in Diabetes data Fuzzy Set and verify how the output comes using Composition of Max-Min and Max-Product. To diagnosis the Diabetes different systems are used by the most of the researchers. But their accuracy is not accurate because the diabetes based some other parameters are not discussed so far.
Threat Hunting Early Experiment through Event Correlation and Memory Forensic

The cyber threat landscapes nowadays are dynamically evolving over time, the cyber security practitioner in corporations need to adapt with more sophisticated way with the latest cyber threat attacks are launched. Cyber Threat Intelligence is one of the tools that can be utilized as a cyber threat detection. Generally, CTI operates by integrating its directory with events collected from Security Information and Event Management (SIEM) to correlates all of the appliances logs within corporation and providing summarized and meaningful information that can be reviewed to identify legitimate malicious cyber threat activity. However, relying only CTI subscription that only contains blacklist domain and ip addresses integrated with SIEM will only provide passive detection for known cyber threats. The needs for proactive cyber threat detection is required to compete with the modern threat landscape. This research work will try to explore the possibility of detecting unknown or undetected cyber threats using network event correlation and memory forensic to validate its existence. Throughout this research time span, we’re able to discover malicious network pattern that is proven to be undetected within internal organization endpoint protection. Therefore, this research will provide baseline for threat hunting activity based on network behavioural pattern.
Penerapan Model Pembelajaran Kooperatif Teknik Think Pair Square (TPS) untuk Meningkatkan Hasil Belajar Matematika Siswa Kelas XII IPS 2 SMA Negeri 1 Bangko Kabupaten Rokan Hilir

This study aims to provide an overview that the application of the Think Pair and Square (TPSq) Cooperative Learning Model can improve student learning at probabilities subject in Class XII IPS2 SMAN 1 BANGKO Rokan downstream. This research is a classroom action research (CAR) which is carried out in 2 cycles. For learning outcomes in the first cycle, 37.5% of students reached the KKM and in the second cycle, 54.2% of students reached the KKM. The basic score of students who reach the KKM is 29.2%. The basic score in this study is the daily test score on the previous subject, namely statistics. The conclusion obtained from this study is that the application of the Think Pair Square Cooperative Learning Model can improve student learning outcomes.
Pedagogical and Psychological Features of The Use of A Differentiated Approach in The Teaching of Law (On The Example Of Didactic Games)

The following article describes the results of scientific research on the pedagogical and psychological features of the use of a differentiated approach in the teaching of law in academic lyceums, and analyzed the use of didactical games in the medium of classrooms
LSC-Tomball: Library Research Guides: Electrical Technology: Books and Audiovisuals

Electrical Technology provides practical training to students who want to learn about construction or maintenance electrical work, electrical interfaces with wiring and telecommunications systems, or who desire training to passthe Texas State Licensing
IMPROVING STUDENTS’ SPEAKING SKILLS THROUGH MENTORING

This study is generally attempted to find the effectiveness of mentoring method on students’ speaking skills at the eleventh grade of MA Rahmatul Ummah NW Sukaraja academic year 2018/2019. Speaking skill is one of the four basic skills in leraning foreign language besides listening,reading,and writing.It   is not easy for the students  to communicate in English. Mentoring Method is one of techniques can be used to improve speaking students because in this technique students will discuss with the In this research, the writer used pre-experiment method by using one group pre-test and post-test design. Where the writer did an experiment in a single group only, the sample of this research was 24 and used one group. The technique of collecting data was done by administered pre-test and post-test to determine the mean score, and paired sample t-test was used to analysis whether the alternative hypothesis was accepted or not. The result of this research pre-test was 45.2500 whereas the post-test 57.0833. In testing hypothesis the present research found that the significance value of the result of mentoring method was lower than 0.05,so that null hypothesis was rejected and the alternative hypothesis was accepted. It implies that mentoring method was significantly effective in teaching speaking skills.
A Survey on Deep Learning Techniques for Sentiment Analysis

Social media is a rich source of information nowadays. If we look into social media, sentiment analysis is one of the challenging problems. Sentiment analysis is a substantial area of research in the field of Natural Language Processing. This survey paper reviews and provides the comparative study of deep learning approaches CNN, RNN, LSTM and ensemble-based methods.