Reviewerly/exHarmony huggingface dataset:
Real-Time Hand Gesture Detection Using Convex Hull and Contour Edge Detection

Hand gesture is a way of communicating through sign languages and presently it has been a hot research topic in the field of Artificial intelligence and Data Science. Contemporary methods for detecting the hand gesture uses optical/mechanical sensors, actuator & accelerometer attached with the glove. This paper proposes a novel method for gesture identification for various hand gestures without using additional equipment (such as sensors or gloves). The proposed method captures the image of the hand gesture then segments it. The real-time hand gesture is tracked down by the convex hull. Convolutional Neural Network is used to detect the area of hand gestures in real-time. The results of the experimental evaluation of the proposed method gave 80% accuracy.
Impact of COVID - 19 Pandemic on Moral Disengagement Models Adopted by Hospitality Operations: A Case Study of Cairo, Egypt

COVID - 19 caused a lot of economic, political and social conflicts to all world populations and states. Many researches to explored the impacts of COVID - 19 on these perspectives. However, few if any were focused to measure the shift in moral models adopted due to this pandemic. This paper targets to explore the moral shifts in these models as a result of moral disengagement caused by the pandemic. The impacts on total performance, reputation, present and future image of operations and the role of accumulated experience to mitigate these impacts are also in focus. A questionnaire tool built in five -point Likert scale was distributed and 202 forms were validated via Survey Monkey. Online ANOVA, percentages and Pearson correlation were used. Conclusions indicate the importance of accumulated experience to limit immoral decisions resulting from disengagement. Findings also show strong correlations among disengagement and reputation and present and future image of the business.
Diag-Skills: A Diagnosis System Using Belief Functions and Semantic Models in ITS

This work is related to the diagnosis process in intelligent tutoring systems (ITS). This process is usually a complex task that relies on imperfect data. Indeed, learning data may suffer from imprecision, uncertainty, and sometimes contradictions. In this paper, we propose Diag-Skills a diagnosis model that uses the theory of belief functions to capture these imperfections. The objective of this work is twofold: first, a dynamic diagnosis of the evaluated skills, then, the prediction of the state of the non-evaluated ones. We conducted two studies to evaluate the prediction precision of Diag-Skills. The evaluations showed good precision in predictions and almost perfect agreement with the instructor when the model failed to predict the effective state of the skill. Our main premise is that these results will serve as a support to the remediation and the feedbacks given to the learners by providing them a proper personalization.
GER-e-TEC Study: An Innovative Geriatric Risk Remote Monitoring Project

Telemedicine can help in the management of patients suffering from chronic pathologies, particularly elderly patients with numerous comorbidities. Elderly residents in nursing homes usually have multiple comorbidities, including cognitive and psycho-behavioral pathologies, cardiac disorders, diabetes, chronic obstructive pulmonary disease, and kidney disease, and use multiple medications. This implies the need for regular monitoring, and a high level of medical and multidisciplinary expertise for the healthcare team. The GER-e-TEC (GERIATRICS and e-TECHNOLOGY) project aims to provide these fragile elderly patients with telemedicine tools, more specifically telemonitoring, backed by a well defined and personalized protocol. The tools use non-invasive communication sensors and artificial intelligence techniques, allowing daily monitoring with the ability to detect any abnormal changes in the patient’s condition promptly. The GER-e-TEC project specifically considers the challenges of aging residents, especially those who are in nursing homes, with a major focus on falls, malnutrition, cognitive-behavioral disorders, and iatrogenic conditions.
Workshop Pembuatan Kalkulator Akuntasi Berbasis Android Pada SMK PGRI Kota Pagaralam

The purpose of the implementation of community service activities is toprovide knowledge and basic skills in the field of application for accountingcalculator based on Android as supporting learning. The development ofinformation technology that supports the implementation of the activities(supporters) of the current work very much and offers facilities to their respectiveexcellence, the positive development of technology will make a good thing fortechnology users to facilitate daily activities. One technology that supports is asmartphone. Most students/I SMK PGRI City Pagar Alam already has a lot ofsmartphone based on Android. But here students/I SMK PGRI still not muchunderstand well in the use of Android learn especially the field of accounting.Method of implementation that is played in direct dedication come to the field toconvey the material through a workshop on making an Android-based accountingcalculator for students/I SMK PGR City Pagar Alam with the source of 1 personlecturer of Informatics Engineering Study Program and accompanied 1 studentsprogram Informatics Engineering STT Pagaralam. Conclusion in the report ofdevotion carried out in accordance with the prescribed procedures and cancontribute in the form of science to the students SMK PGRI and also can increasethe professionalism of lecturers in the Environment of Informatics EngineeringProgram of high School technology Pagar Alam. Results of the activities in SMKPGRI Siswa/I can increase knowledge and understanding especially the field oftechnology based on Android
Solicitation of Knowledge Graph Enhanced Neural Network Objects Detection by Sentiment Analysis

In the machine learning technique, the knowledge graph is advancing swiftly; however, the basic models are not able to grasp all the affluence of the script that comes from the different personal web graphics, social media, ads, and diaries, etc., ignoring the semantic of the basic text identification. The knowledge graph provides a real way to extract structured knowledge from the texts and desire images of neural network, to expedite their semantics examination. In this study, we propose a new hybrid analytic approach for sentiment evaluation based on knowledge graphs, to identify the polarity of sentiment with positive and negative attitudes in short documents, particularly in 4 chirps. We used the tweets graphs, then the similarity of graph highlighted metrics and algorithm classification pertain sentimentality pre-dictions. This technique facilitates the explicability and clarifies the results in the knowledge graph. Also, we compare our differentiate the embeddings n-gram based on sentiment analysis and the result is indicated that our study can outperform classical n-gram models, with an F1-score of 89% and recall up to 90%.
보육교사의 직무스트레스와 심리적 소진의 관계에서 회복탄력성의 매개효과

This study examined the mediating effect of childcare teacher’s resilience on their job stress and burnout. The subjects were 251 childcare teachers. Three survey instruments were used: Burnout scale (Maslach & Jackson 1981), job stress scale (Shin 2004), and resilience scale (Shin et al. 2009). SPSS 21.0 was utilized for Pearson’s correlation analysis and regression analysis proposed by Baron and Kenny (1986). As a result, job stress showed a significant positive correlation with burnout, but a significant negative correlation with resilience. In addition, childcare teachers’ resilience was found to mediate partially the effect of job stress on burnout. These findings should be considered when developing teacher education programs and related policies to reduce childcare teachers’ burnout.
La descrizione delle risorse bibliografiche in linked data

The article is an appendix of the volume Come lavorare con Wikidata in biblioteca = How to work with Wikidata in the library , written by Alessandra Boccone and Tania Maio, published by Editrice Bibliografica in April 2021. In this article, after a brief introduction to Wikidata and to the construction of an element, the tables of the WikiProject Books and Periodicals are reported. They have been translated, revised and expanded by the author, for the benefit of librarians who wish to approach the creation of items of bibliographic interest, such as authors, monographs, journals, articles in linked open data. It ends with a brief reflection on the possibilities offered by Wikidata in the field of authority control.
LibGuides: ENGLISH 1005 - College Writing and Research - Chipman: Find Research

Pathways to the highest quality news, research, and books. A guide to best techniques for searching the Internet and library databases. Baffled? Ask your librarian a question!
PROTOTIPE AUGMENTED REALITY PENGENALAN TATA SURYA BERBASIS ANDROID DENGAN METODE MARKER BASED TRACKING

Augmented reality is a device in combining objects between 2D and 3D virtual worlds, there is information that has not been implemented directly to the user, then by providing a respons..Develops using projectors and laptops as information technology, besides the development of mobile (cellular) or android-based information technology that can make it easier for learning, especially the introduction of the solar system, the beginning of the solar system introduced various celestial bodies, both planets and surrounding celestial bodies, in class VI who received the material as a basis before going to the next level, but the teaching and learning process there are several factors that influence i if it is examined that there are elderly teachers who have difficulty keeping up with technological developments, from learning media support tools such as projectors and teaching aids are still very limited, and not all teachers use information technology as a learning medium, the purpose of which is to make an introduction to AR learning media applications android-based solar system for class VI, based on these 3 problems as a solution an educational application is needed that supports learning activities using android augmented reality for the introduction of the solar system with the marker based tracking method, the marker becomes a marker of 3D objects to bring up objects from the virtual world to the real which contains information on each of these objects, in other words visualizing the results of the marker directly into the real world, the final result is the creation of an AR application for learning the introduction of the solar system.
PELATIHAN PEMBELAJARAN BERBASIS INTERNET BAGI GURU DI YAYASAN MUJAHIDIN KABUPATEN MALANG

The purpose of this training is that the teachers at the Mujahidin Foundation can use the internet as a medium for learning.Community Service Activities were carried out on Sunday 3 November 2019 at the Mujahidin Foundation in Malang Regency. This activity is divided into several stages consisting of the preparation phase, the training phase and the preparation of activity reports.The material provided in this training covers the understanding of internet based learning, the scope, advantages and disadvantages of internet based learning as well as practicing the internet based learning process.During the training process the situation is educational, conducive and fun. This can be seen from the enthusiasm of the participants, the question and answer process and the complete participation of the participants from the beginning until the completion of the training event so that the material can be completed as a whole.
KAJIAN KELAYAKAN OPERASI DAN FINANSIALRENCANA PEMBANGUNAN PEMBANGKIT LISTRIK TENAGA PELET SAMPAH DI KEPULAUAN SERIBU, JAKARTA

Waste is a problem faced by Kepulauan Seribu Jakarta, because waste itself can harm the community in terms of aesthetics, environmental cleanliness, health and other social impacts. The increase in population growth rate is one of the factors increasing the volume of waste. The purpose of this study is to find out how to utilize the existing waste in Kepulauan Seribu to be used as fuel for power plant, waste will be processed into pellets where the waste has gone through the process of peuyeumization to increase the heat value of the waste. The results of the laboratory show that the heat produced by waste pellets is 3,802 Kcal Kg equivalent to soft coal, in the results of research conducted on Kepulauan Seribu where the total power demand in Kepulauan Seribu is 2,506 MW so that a generator with a capacity of 3 MW can meet the power requirements. From the research results which the waste pellets power plant compared with the PLN network that previously existed in Kepulauan Seribu got good losses results where 45.7 kW and 91.6 kW and smaller voltage drops of 0.65% and 0.81%. In terms of the operational and financial analysis of waste pellets power plants is feasible to be built on Kepulauan Seribu.
E-Learning Through Smart Phone Media in Education

Networked based modern technology which help the user such as internet and world wide web are dramatically changing education learning and teaching style. The advancement of technology help visually challenged user to compete with the visualized people in the field of education and research. It offers high-quality learning resources, exchanging information and making learning groups virtually. The articles discusses on e-learning through mobile application. E- and mobile learning provide enormous possibilities for closing the gap between learners and teachers or the teaching institution, to overcome the misconception of distance learning as an isolated form of learning. M-learning is e-learning through mobile computational devices. Mobile learning devices are defined as handheld devices and can take the form of personal digital assistants, mobile phones, smart phones, audio players, video and multimedia players. They should be connected wirelessly, thus ensuring mobility and flexibility. Innovation in education refers to the changes in teaching and learning as a consequence of the tremendous impact of technological advances. An advanced form in education might mean that in education certain models or patterns no longer exist, because new models and have substituted them. The media applied in distance learning influence the form and nature of interaction and communication, the level of independence and flexibility, as well as scalability and therefore access and costs of distance learning courses.
A Question Answering System Based on Multi-Granularity Semantic Interaction Neural Network

To solve the problem that existing machine reading comprehension system can't understand and interact with the semantics of articles and questions, this paper proposes a multi-granularity semantic interaction neural network model. The model introduces granular attention interaction and self-attention interaction mechanism to multi-granularity semantic representation model. Experiments on the SQuAD dataset prove that our proposed model is superior to traditional models in terms of exact match rate and F1 value. In conclusion, the model's performance is improved by multi-granularity semantic understanding, reasoning and interaction.
Oportunidades para el desarrollo profesional docente

One of the most relevant characteristics of the Information and Knowledge Society is the fact that learning no longer takes place merely in regulated training institutions, but also in non-formal and informal spaces. Digital technologies give us the possibility to learn at any time and in any place. This breaks space-time barriers generating learning experiences which nowadays are unlimited. Thus, the present work aims to analyse how the different learning and training opportunities contribute to the professional development of teachers. This qualitative piece of research adopted a case study design. The participants were four Early Childhood Education teachers from the province of A Coruna (Spain). Data were collected through in-depth interviews. The information was processed through content analysis strategies. The results show that teachers carry out multiple training activities to keep up-to-date including courses offered by the educational administration, through the Training and Resource Centres, and meetings with other professionals. Learning Ecologies are presented as a useful framework from which it is possible to integrate and optimize various learning experiences, understanding holistically the manyfold elements that determine the professional development of the four teachers in the case study and the potential of their synergies.
THE SITUATION OF ENGLISH TEACHERS FOSTERING ACTIVITIES AT SECONDARY SCHOOLS IN KE SACH DISTRICT, SOC TRANG PROVINCE, VIETNAM

&lt;p&gt;This article aims to provide scientific, accurate and overall information on the English teachers fostering activities at secondary schools in Ke Sach district, Soc Trang province. Via the sociological survey method and direct interview, this article has informed comprehensively about the status of teachers’ quality and students’ results in learning English, English teachers’ awareness of fostering activities, implementing teaching contents under the teaching and learning foreign languages project, as well as English teachers fostering activity methods, and forms of English teachers fostering activities of educational managers. The results of the study are the basis to improve the quality of teaching and learning foreign languages for students at secondary schools in Ke Sach district, Soc Trang province.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0951/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Pet shops left behind as Amazon, Chewy reap benefits from adoption surge

As more people spend time at home and invest in fuzzy friends amid the pandemic, the pet industry ballooned to $100 billion just last year with sales up 9% year over year. However, the profits have disproportionately favored digital retailers, leaving brick-and-mortar pet shops in a rough patch.??
Classification of prospective borrowing customers to reduce the risk of bad deposits in sharia cooperatives using the FK-NNC method

Objective: Assisting cooperatives in determining the classification of prospective financing members to reduce non-performing deposits in sharia cooperativesDesign/method/approach: The Fuzzy K-Nearest Neighbor in Every Class method is used to classify prospective financing members. System development using the waterfall method.Results: Based on the implementation and the results of tests carried out using the confusion matrix, the results show that using the Fuzzy K-Nearest Neighbor in Every Class method can classify prospective financing members with an average accuracy rate of 80% with a value of k=1 to k=10. Stable accuracy results of 80%. It shows that adding k theory to the Fuzzy K-Nearest Neighbor in Every Class method can improve the theory of assigning k values to the previous method, namely K-Nearest Neighbor and Fuzzy K-Nearest Neighbor.Authenticity/state of the art: Based on previous research carried out, the research themes and characteristics are relatively the same, but in the research conducted, there are differences in terms of the methods used, case study data, preprocessing data, and research outputs. Previous research with the same object, namely the classification of cooperative customers by applying the K-Nearest Neighbor method by determining two classes of classification results, namely traffic jams and smooth, while this study will apply the development of the K-Nearest Neighbor method using the Fuzzy K-Nearest Neighbor in Every method. The class with the output specifies three outcomes: crash, sometimes crash, and smooth. This study uses the data preprocessing stage with fuzzification and data transformation techniques using the min-max normalization method. In contrast, the previous research used the z score normalization method.
THE EFFECT OF ONLINE LEARNING AND DIRECT FACE-TO-FACE TO MATHEMATICS LEARNING ACHIEVEMENT

This study aimed to determine the effect of learning media on student achievement in mathematics. The learning media used include learning using Zoom Meeting, Google Classroom, and face-to-face in class. The research method used was an experiment with a quantitative approach. The samples were 30 Year 9 students divided into three different treatments in learning: learning using Zoom Meeting, learning using Google Classroom, and face-to-face learning in class. The instrument used was a description of the essay questions used to measure student achievement. Data were analyzed using one-way ANOVA and Tukey's - HSD test. The results showed a significant or different effect between the use of learning media on student achievement (Fcount = 3.665 &gt; Ftable = 3.35) of α= 5%. Furthermore, further tests were carried out using the Tukey's - HSD test to examine which learning media had a different effect. Further test results showed that learning using Google Classroom with face-to-face learning in the class had a different effect on students' mathematics learning achievement. Meanwhile, student achievement between Zoom Meeting and face-to-face learning and Zoom meeting and Google Classroom was not significantly different. The average student learning achievement in face-to-face learning was greater than those using Google Classroom.
COURSE RECONSTRUCTION OF DATA STRUCTURE AND ALGORITHM DRIVEN BY EDUCATIONAL MODERNIZATION

Abstract. This paper pointed out the problems existing in the teaching of data structure and algorithm, and expounded the teaching innovation of teaching environment, teaching mode, teaching organization, teaching content and teaching method based on the problem orientation. The teaching environment relied on digital campus + smart classroom + learning through teaching wisdom software, and the teaching mode adopted the blending teaching model of online and offline. The teaching team was established to construct the course, and the division of teaching tasks was carried out. The classroom was integrated into the grouping teaching, and the high-quality teaching resources were integrated. The localization design was carried out, and the grouping, inquiry, participation and cooperation teaching methods were integrated into the traditional heuristic and case teaching. Finally, the form of data comparison showed the effectiveness of teaching innovation.
PENGGUNAAN FITUR WORDCLOUD DAN DOCUMENT TERM MATRIX DALAM TEXT MINING

Much information and data can be extracted from social media differences, with more and more social media users. Data in 2019 states that there are 150 million users of social media in Indonesia. Based on the number of active users of social media, it can be exploited for deeper information extraction and analysis. One way that can be done is by taking comment data on social media for further processing or mining. In this research, we do data crawling and utilize the Term Document Matrix and Word Cloud features to find the most frequently written words on Facebook and Twitter social media. The words that appear most often based on the Word Cloud feature will be analyzed to infer from words written on social media. In this study the word that often appears on Facebook is the word garuda for 3621 words and on Twitter is the Indonesian word for 1572. On the Facebook platform the resulting word has a positive tendency because the topics discussed are still around airlines, while on Twitter it has a negative tendency because of the word what appears is a personal name that has a negative tendency for the company.