Reviewerly/exHarmony huggingface dataset:
Build Awareness With an Online Scavenger Hunt

The Membership Management ReportVolume 17, Issue 2 p. 3-3 Directory Ideas Build Awareness With an Online Scavenger Hunt First published: 31 December 2020 https://doi.org/10.1002/mmr.31649Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume17, Issue2February 2021Pages 3-3 RelatedInformation
The Application of Speaking Development on the Establishment of Object Vocabulary in Student with Hearing Impairment

This study aims to determine the increase in the results of the application of speech development to the formation of object vocabulary in deaf children. The approach used is a quantitative approach with the Single Subject Research (SSR) experimental method in the A-B-A design. The A-B-A design used has three phases: 1) Before the intervention/treatment is given, 2) when the treatment/intervention is given in the form of speech development (B), 3) after the treatment is given (A2). The results of the study showed the mean level of the baseline-1 phase (A-1) 43.43%, the intervention phase 47.07%, and the baseline-2 phase (A-2) 51.48%. Then, in the intervention phase (B) to baseline-1 (A-1), there was a 50% overlap, while in the intervention (B) to baseline-2 (A-2) there was no 0% overlap. Each session experienced an increase, although not significantly. The influence of the intervention on the formation of the object vocabulary of deaf children can still be said to be quite increasing because it has increased both before being treated and after being given treatment. Thus it can be concluded that the application of speech development is sufficient to increase the formation of object vocabulary in deaf children. The application of speech development is very important for deaf children so that deaf children are able to function their speech organs well and so that deaf children are able to communicate with other people, both the implementation of speech development is carried out in class or providing additional classes outside of class hours.
CORRECTIONAL AND DEVELOPMENTAL TECHNOLOGIES OF REMOTE SPEECH THERAPY SUPPORT FOR STUDENTS

Annotation:The distance learning format is the most productively changing component of the educational space.The speech therapist reveals the organizational and fundamental aspects of providing developmental approaches in the distance learning format.
APPLICATION OF COOPERATIVE LEARNING MODEL JIGSAW IN INCREASING STUDENTS LEARNING ACHIEVEMENT OF SOCIAL SCIENCE SUBJECT

This Classroom Action Research (CAR) aims to determine the improvement in social studies learning achievement of the fifth grade students of SDN 15 Cakranegara in the 2018-2019 school year, totaling 23 people, consisting of 14 boys and 9 girls. The research method used is: Cooperative Learning Model Jigsaw technique, with data collection techniques in the form of observation and evaluation tests, then analyzed qualitatively by comparing the success rates between cycles. The results of this study indicate an increase in the number of students who complete learning or get a score of 63, namely 15 students in the first cycle to 18 students in the second cycle. An increase also occurred in the average value of the evaluation test given after the learning process was over, namely: 70.21 in the first cycle, to 72.39 in the second cycle. While the percentage of student learning completeness in each cycle, which is 66.67% in the first cycle, increased to 80.00% in the second cycle. In addition, the application of this method can also increase the activities of teachers and students which increase from cycle I to cycle II. This is evidenced by the percentage of teacher activity which increased from 69.10% in the first cycle with a fairly good category, to 87.85% in the second cycle with a good category. The increased student activity was marked by 68.74% in the first cycle with a fairly good category, to 82.71% in the second cycle with a good category. The Jigsaw Cooperative Learning Model has been able to improve the social studies learning achievement of fifth graders at SDN 15 Cakranegara for the 2018-2019 school year.
AR &amp; VR Marketing: when and where?

Abstract Marketers have been trying to find the means to innovate and introduce technology as much as they can in their line of work in order to convince consumers to acquire their products or services and due to recent outcomes, it has become harder for certain fields to benefit from conventional marketing strategies and implementations. Augmented Reality and Virtual Reality have the possibility to help fields that are overlooked in Online based marketing and even bring new light to presenting products and services to consumers. In this article, we will try to identify the advantages and disadvantages of using these technologies in marketing strategies, where they have been used successfully and where they can be used to innovate. We will be reviewing research papers that have been published in the field of virtual reality and augmented reality that are connected with marketing strategies with an emphasis on tourism, education and marketing, presenting the findings and relating our opinions on further developing these aspects.
A Framework for Online Teacher Competences

This chapter proposes a framework of necessary competences for those teaching online. Due to recent societal and technological developments many teachers have been using digital tools without necessary preparation and support. Pedagogical, andragogic or senior teaching competences are necessary to ensure a certain level of online teaching in terms of knowledge, skills and attitudes. The competences presented in this chapter are based on the Tuning methodology and were derived from existing studies and projects, but are not exhaustive and adaptations to specific contexts will be necessary. Teacher education and training is essential for gaining these competences. A checklist and examples are presented for others wishing to adopt this approach to prepare teachers to teach online.
The Changing Nature of New Employees’ Orientation: “Staff Retention and Turnover Reduction” An Empirical Study In The Gambia's Public And Private Sectors

Purpose: One of the major areas on HRM is how to develop employees and get the most efficient out of them by retaining employees and reducing an organization's turnover rate. People leave organizations all the times, depending on various reasons that might be personal and out of the control of the employee, and/or either due to conflict of interest of employees seeking a change in their careers. There are various possible factors of the range of control of the organization. However, it has been observed that organizations can keep their employees longer if they are oriented and welltrained. In this paper, investigation will be on the impact of employees' orientation as a tool towards reducing high turnover rates. Methodology: Both primary and secondary data were used to gather information for this investigation. The secondary data was obtained from articles, blogs, papers online, and textbooks. The questionnaires were sent to respondents electronically via Google forms. A link was produced: Https://forms.gle/GEgBCklkmlkMXmL9 after the survey was built, it was shared amongst respondents with an attached letter of clarification explaining the process of participation which was on voluntary basis. The survey was opened for a span of one week and within a week 144 surveys were filled and submitted above the benchmark which targeted 100 participates. The targeted audience was a random selection of The Gambia’s workforce, there was no specific organization under reviewed. Findings: The Statistics of this survey shows that very few numbers of employees stayed with an organization for more than 5 years of employment which indicates a high turnover. Over 73% of the respondents received orientation prior to job engagement with little and/or less information about how to do their jobs. Whereas, over 27% of employees never received any orientation. Results also show that management does not get involved often in ensuring that their newly hired employees understand what-to-do? And how-to-do-their jobs, rather most employees ended up learning their jobs by themselves. Finally, this survey recorded 38% for employees’ feedback and 66% of the time management does not respond to staff feedback. Feedback is one of the most ideal ways of improvement but management concentrates less on it. On the side of training and development, 42% of the respondents believe that orientation helps in reducing the rate at which people leave an organization. While 36% feel neutral about this statement and 50% of the respondents believe that orientation helps in retaining employees. Keywords: Employee Retention, Organization's Turnover Rate, Employment
Teknik Penerjemahan Dalam Buku Terjemahan Pengantar Sistem Informasi Perspektif Bisnis Dan Manajerial Pendekatan Kelompok Nomina Linguistik Sistemik Fungsional

This study is qualitative which aims at identifying translation technique in Introduction to Information System that translated into Bahasa Indonesia and the impact its acceptability. The data was sentences, contains of the term of information system. Technique data collection was questionnaire and in dept interview. Meanwhile, technique data analysis was domain analysis, taxonomic analysis, componential analysis and theme analysis. The result showed that highest translation technique used is literal with 24,60% and naturalized borrowing 24% (see table 1). Furthermore, in line with translation technique findings, there was an impact in using this translation technique. The findings show that this book has high acceptability on its translation. As seen in Table II that 77,77% of the data has good acceptability. Hence, it can be said that, the use of literal technique and natural borrowing are appropriate in translating this text, since it will contribute to create good acceptability of specific term in target language, based on the context of the text.
MATERIALS AND RESOURCES FOR TEACHING ITALIAN PRAGMATICS

This study aims to describe the materials and the resources utilized for teaching Italian pragmatics, both in foreign and second language contexts. 139 teachers of Italian answered an online questionnaire which elicited information about the materials and resources they used in the classroom as well as information regarding their teaching techniques. Their answers were clustered into five main categories. The results revealed that the most commonly used materials were printed, audiovisual, self-produced, students’ oral production and digital materials. Within these categories, textbooks (printed materials) and videos (audiovisual material) were considered as the most preferred materials by the teachers. Regarding teaching techniques, the most frequently used by teachers were role plays, watching videos and listening exercises. The findings of the present study suggest that textbooks, the main resource for teaching pragmatics, should be implemented with specific activities on this topic. By receiving guidelines, teachers could appropriately teach pragmatics in their classes without the need to create their own materials.&#x0D; &#x0D; Materiali e risorse per l’insegnamento della pragmatica italiana&#x0D; Questo studio mira a descrivere i materiali e le risorse utilizzate per l’insegnamento della pragmatica italiana, sia in contesti di lingua straniera che di lingua seconda. 139 insegnanti di italiano hanno risposto a un questionario online predisposto allo scopo di raccogliere informazioni sui materiali e le risorse che usavano in classe e sulle loro tecniche di insegnamento. Le risposte degli insegnanti sono state raggruppate in cinque principali categorie. I risultati hanno rivelato che i materiali più comunemente usati sono a stampa, audiovisivi, autoprodotti, produzione orale degli studenti e digitali. All’interno di queste categorie, i libri di testo (materiali stampati) e i video (materiale audiovisivo) sono i materiali preferiti dagli insegnanti. Per quanto riguarda le tecniche di insegnamento, le più utilizzate dagli insegnanti risultano essere i giochi di ruolo, la visione di video e gli esercizi di ascolto. I risultati del presente studio suggeriscono che i libri di testo, la risorsa principale per l’insegnamento della pragmatica, dovrebbero essere implementati con attività specifiche a questo dedicate. Disponendo di linee guida, gli insegnanti potrebbero insegnare in modo appropriato la pragmatica nelle loro classi senza avere la necessità di creare materiali propri.
Dense ResNet Based Human Action Recognition using Novel Trajectory Maps on 3D Skeletal Data

The machine learning research community is presently working on human action/activity recognition issue in real-time videos, and facing several hundreds of confronts. In this scenario, deep convolutional neural networks have initiated their powerful role in strengthen the numerous vision-based HAR systems. In recent years there has been impressive performance and great potential for imaging tasks with introducing residual connections along with a traditional CNN model in a single architecture known as the Residual Network (ResNet). In this paper we propose to use skeletal trajectory maps for the detection of human actions. A new ResNet based algorithm named dense ResNet has been proposed to perform the classification task. The trajectories of 3D joint locations are converted into color coded RGB images. These trajectory plotted images are able to capture the spatio-temporal evolutions of 3D motions from skeleton sequences and can be efficiently learned by deep learning algorithms. We then train the proposed dense ResNet to learn the features from these color coded RGB trajectory information of the human body 3D joint locations. The novelty of the proposed method is evaluated on MSR Action 3D, UTKinect-Action3D, G3D and NTU RGB-D datasets. Experimental results shows that the proposed architecture attains good recognition rates with less computation resource.
Research on a Multimedia Video Image Coding Method Based on Machine Learning

Due to the defects of the existing video image coding methods, the coding time is too long, and the video image size reduction rate is too low. Therefore, this study proposes a multimedia video image coding method based on machine learning. To meet the needs of different users, target detection is carried out in massive multimedia video, and the video image containing the target is extracted. Then, on this basis, the video image description method is determined, and the video image coding features are extracted based on the F-score packaging method. Finally, the machine learning technology-SVM algorithm is selected to formulate the multimedia video image coding program and realize video image coding. The experimental results show that after applying this method, the video image coding time is shorter and the video image size reduction rate is higher, which fully proves that this method has good application performance.
Investigation of the process of binarization of images using local values of the threshold

The use of global binarization thresholds in image processing does not always give the correct result. This is especially common when processing images with uneven illumination. In some areas of the image, the automatically determined binarization threshold makes it possible to obtain sufficiently well visualized objects, while in other areas, the objects necessary for analysis become "overexposed" or, conversely, "shaded". In cases where it is necessary to localize all objects of interest in the image, binarization plays a very important role, especially in cases where the object of interest contains information that will be used in the next stages of processing. Multi-gradation images can contain many objects of interest, such as car license plates, train car numbers, people's faces, and defects in manufactured products. Each of these cases requires high-quality processing for subsequent recognition. If there are noises on the processed image or the brightness indicators are unevenly distributed, then the binarization process can lead to the loss of important information – the loss of a part of the symbol, the breakage of the object's contour, or, conversely, the emergence of new areas that are mistakenly added to the object of interest – shadows of other objects, dirt on the license plate sign. Therefore, the binarization process requires a very accurate preliminary calibration for all possible shooting conditions – daylight and dark hours of the day, taking into account possible noise (interference in signal transmission), extreme situations (strong hail or rain). In this article, the authors investigate the process of binarization of images with uneven illumination using several local binarization thresholds instead of one global one. It is proposed to check the histograms of the obtained fragments for the number of peaks or "modes". If the histogram of a binarized fragment is single-mode, then the given fragment is not subject to further processing and the binarization threshold on it is defined correctly. The study of the relationship between the binarization threshold and such image parameters as dispersion and smoothness has been carried out. On those fragments where the value of the average brightness measure differs from the average for all fragments, the binarization threshold is determined incorrectly. If you set the threshold value higher, closer to the average value for all fragments, then as a result binarization will be carried out correctly.
Improvised Collaborative Filtering for Recommendation System

Collaborative filtering (CF) is one of the most important techniques of recommendation system and has been utilized by many e-commerce businesses to provide recommendation to its users. This paper sheds light on CF and its methods. This paper demonstrates a practical algorithm by leveraging data on user ratings for mobile phone devices and then provides recommendations to the target user based on the ratings given by similar users. It also elaborates an algorithm of CF that overcomes some of the common limitations faced by other algorithms. To explain the methodology of collaborative filtering this research paper looks at mobile phone data, especially the mapping of users (buyers) and the rating they provide for mobile phones they purchase. The model first evaluate multiple collaborative filtering techniques (variations of user based and item based filtering) by use of ROC curve and then provide recommendation to the user based on the best identified technique. Collaborative filtering is best utilized where the information on “users” and/or item is limited. For example, you can imagine the hotel booking website that provides recommendation to the website visitor, even though the user has never visited the website before (first time user). In such a situation as the information about user is limited the website algorithms are still able to utilize collaborative filtering methodology to provide recommendations.
A New Interest-Based Protocol to Hide and Protect Servers in IP Networks

In this paper, we propose a new interest-centric and no-IP-based technique using the Radnet protocol to hide and protect communication among servers and network appliances. In particular, we carry out experiments considering log servers protection, which contains one of the most valuable assets for both network administrators and attackers, since the former can audit and learn about the attacks, and the latter can cover their actions during an attack. Using graphical analysis, we demonstrate that our approach does not have a significant impact on the performance of applications in a real datacenter environment.
Research on a Comprehensive Evaluation Method of Business Administration Performance Based on Big Data Analysis

In order to overcome the problems of low accuracy and long time consuming of traditional methods in evaluating business management performance, a comprehensive evaluation method of business administration performance based on big data analysis is proposed. According to the systematic principle, scientific principle, the principle of representativeness and operability principles, using big data analysis methods to analyze business and management in the purchasing, production and sales of part of the present situation of working capital management data, according to the three link select multiple business management performance evaluation indicators, analytic hierarchy process is used to determine the index weigh. The regression analysis of business management performance data and panel data is carried out by using big data analysis, and the evaluation model of business management performance is built to realize the comprehensive evaluation of business management performance. The experimental results show that the proposed method can not only improve the evaluation accuracy, but also reduce the evaluation time and have better performance.
Pengaruh Efektifitas Pembelajaran Jarak Jauh (PJJ) Mata Pelajaran Pai Terhadap Motivasi Belajar Anak Di Cluster Koba Village Purwakarta

Distance Learning, especially PAI subjects which are carried out online or online. Indirectly this change in learning methods resulted in the effectiveness of learning and learning outcomes. Therefore, researchers observe how important the role of motivation for students in carrying out learning is, with the hope that learning effectiveness can continue to be carried out optimally if learning motivation is also considered good. The results of the instrument validation analysis using the product moment correlation formula with a significance level of 0.05 indicate that the variable x has 30 statement items, 15 valid items and 15 invalid items, while the y variable has 30 statement items with 18 valid items. and 12 valid items. . The value of the reliability coefficient with an rtable of 0.022 obtained a variable x 0.327 and a variable y 0.362. The score of respondents' questionnaire answers was 78 children on the x variable (distance learning effectiveness) of 87.6% and the y variable (Student Learning Motivation) of 85.7%. The results of hypothesis testing were obtained with rcount with a correlation coefficient of -0.082. This value is in the interval 0.00 – 0.199, namely between the x variable (distance learning effectiveness) and the y variable (student learning motivation) with a very low correlation. The percentage of the relationship is 0.007 which means that the variable x (distance learning effectiveness) to the variable y (student learning motivation) is influenced by the variable x by 72.25% and the remaining 27.75% is influenced by other factors outside the variable x. (distance learning effectiveness). far). The value of Fcount = 0.557 while Ftable with df1 = k – 1 (2 – 1 = 1) and df2 = n – 2 = 78 – 2 = 76 with an error rate of 5% then the value of Ftable is 3.978 if fcount &gt; ftable then Ha is accepted and Ho rejected. Meanwhile, if Fcount &lt; Ftable, then Ha is rejected and Ho is accepted. Based on the comparison of the values ​​above, Fcount &gt; Ftable, it can be concluded that Ho is accepted and Ha is rejected, meaning that there is no significant effect between the x variable (distance learning effectiveness) on the y variable (student learning motivation).