Reviewerly/exHarmony huggingface dataset:
Necessary and Sufficient Condition for the Existence of Neural Network Models for Logic Circuits

In this paper, a new approach for logic circuit modeling using neural networks is proposed. Using the Hopfield model, the constrained energy equations are established based on the truth table of a logic device. Using linear equations theory, the necessary and sufficient condition for the existence of its neural network is derived, from which the general neural parameter expression for a basic logic gate is obtained.
EFFECT OF MULTIMEDIA UTILIZATION AND LEARNING STYLE TOWARD PRESTATION OF SOCIAL STUDIES (Experiment Study At Class VI Of State Unior High School 1 Rejang Lebong Regency)

The aims of this research to know; 1) a significant or no different between social study result at learning media experiment class,  and the globe dan map at 7th class social study learning, Unior High School 1 Rejang Lebong Regency.2) a significant or no different between social study prestation which have visual and auditory learning style at 7th class social study learning, Unior High School 1 Rejang Lebong Regency, 3) a significant or no different between learning media toward social study prestation at 7th class social study learning, Unior High School 1 Rejang Lebong Regency. In this research which is used experimental research design Two Ways Anava. Data collection technique used questionaire and test. This research uses a quantitative approaching, data collection technique used questionnaire and test    to    find    out    the     learning    media utilization and learning style toward prestation of social studies. To examines the research's hypothesis is using T-test analysis and Variancy Two Ways by calculates the instrument validity eachvariabels. The research's result shows there are: (1) a significant influence between learnign media utilization, and learning style toward prestation of social studies, (2) no different significant influecnce prestation of social studies which have visual and auditory learning style. (3) no different significant influence the learning media utilizationand learning style toward prestation of social studies
MODEL OF EMPLOYEE PERFORMANCE EVALUATION SYSTEM BASED ON FUZZY LINEAR PROGRAMMING METHOD WITH 10 FACTORS

This study aims to measure employee performance with 10 factors of qualitative and fuzzy. Measurement of employee performance is usually done periodically by a company but its measurements only considers the factors that are assertive such as education level, length of work, and ignoring the fuzzy traits such as work quality, employee honesty, initiative, attendance, attitude, cooperation, reliability, knowledge of work, responsibility, and time utilization. The method used by this study is a fuzzy linear programming with 10 fuzzy factors. This study discusses 10 fuzzy factors as parameters where each factor has 5 levels. This employee performance appraisal with 5 criteria and are compiled in 4 assumptions to complete the assessment. Further determine the restrictions and rules that have been set and create a linear programming model. To determine the optimal solution is solved by linear programming in QM for Windows and the results of using these 5 benchmarks have a 100% confidence level.
Formation of the Personality of Future Teachers for the Implementation of Professional Activities in Modern Conditions

The article is devoted to one of the pressing topics of modern society. Since the modern developing world makes qualitatively new demands on the training of teaching staff. Modern society, which has embarked on innovative social, scientific and technological development, presents new requirements for a person in a changing sociocultural space. In the context of updating all spheres of human life, ever higher demands are placed on the education system as an effective mechanism for the preparation of a competent, mobile specialist. In this regard, educational institutions are called upon to solve a whole range of problems, including the education of a purposeful, active, creative, responsible, strong-willed person, striving to constantly increase their potential capabilities. Currently, the search for new opportunities to improve the professional level of teachers and the creation and implementation of appropriate conditions for their professional growth is being intensified. Since a modern teacher should be ready to change his pedagogical thinking, as well as to the paradigm of modern education, he must develop ways of continuous professional development. Vocational education is a specially organized process of attracting individuals to professional activities in the process of vocational training as the subject of this activity. It includes the formation of students' professional direction, professional competencies and professional skills. The professional direction of the personality of the future specialist includes an interest in the chosen profession, an understanding of the social and personal significance of pedagogical activity, a conscious and creative attitude to the chosen profession. Professional competence can be defined as the correspondence of professionalism and personal quality and the complexity of professional issues.
Measuring accuracy of Dataset using Deep Learning Algorithm RMSProp Algorithm

Abstract: Over the last few years, there have been many significant improvements in the field of AI, machine learning, deep learning are being used in various industries and research. In order to train the deep learning models learning of parameters plays a major role, here the reduction of loss incurred during the training process is the main objective. In a supervised mode of learning, a model is given the data samples and their respective outcomes. When a model generates an output, it compares it with the desired output and then takes the difference of generated and desired outputs and then attempts to bring the generated output close to the desired output. This is achieved through optimization algorithms. Though many kinds of clinical methods have been employed to detect whether patients have heart disease or not by number of features from patients. but it’s still a challenging task due to the multitude of data elements involved. The motive of our project is to save human resources in medical centers and improve accuracy of diagnosis. In our project we used an RMS prop optimizer. The purpose is to decide how many hidden layers need to be selected and how many neurons need to be selected in each and every hidden layer by looking at the dataset and to give the application of deep learning to the health care sector so that we can minimize the costs of treatment and help in proactive actions. We want to show that we can increase the accuracy of the project by taking stability along with accuracy into consideration. Index Terms: RMS Prop, Machine Learning, Deep Learning, number of features, proactive actions
Audio steganography based on LSB algorithm with 4D grid multi-wing hyper-chaotic system

Although variety in hiding methods used to protect data and information transmitted via channels but still need more robustness and difficulty to improve protection level of the secret messages from hacking or attacking. Moreover, hiding several medias in one media to reduce the transmission time and band of channel is the important task and define as a gain channel. This calls to find other ways to be more complexity in detecting the secret message. Therefore, this paper proposes cryptography / steganography method to hide an audio / voice message (secret message) in two different cover medias: audio and video. This method is use Least Significant Bits (LSB) algorithm combined with 4D grid multi-wing hyper-chaotic (GMWH) system. Shuffling of an audio using key generated by GMWH system and then hiding message using LSB algorithm will provide more difficulty of extracting the original audio by hackers or attackers. According to analyses of obtained results in the receiver using PSNR/MSE and sensitivity of encryption key, the proposed method has more security level and robustness. Finally, this work will provide extra security to the mixture base of crypto-steganographic methods.
Books for Congo, Democratic Republic of the Congo

Eastern Congo has suffered from over 25 years of war. According to Books for Congo, ‘children and youth in the eastern region of the Democratic Republic of the Congo grow up with limited access to books. Books for Congo have 18 partners in the city of Goma, and also partners in Beni, Kanyabayonga, Bukavu, Uvira and Rugari. The work of Books for Congo is so important because it responds to a real and tangible need that Congolese people have prioritised. Many people drop out of school because they are unable to pay school fees. Literacy is both letters as well as numbers, and many rural Congolese sell their products in small markets, and the more literate they are, the better they can handle transactions. Books for Congo also supported the libraries in fact-checking rumours that circulated on social media, and accurate information was shared by the libraries on social media and via text/WhatsApp with their patrons.
Explanations for Occluded Images

Existing algorithms for explaining the output of image classifiers perform poorly on inputs where the object of interest is partially occluded. We present a novel, black-box algorithm for computing explanations that uses a principled approach based on causal theory. We have implemented the method in the DEEPCOVER tool. We obtain explanations that are much more accurate than those generated by the existing explanation tools on images with occlusions and observe a level of performance comparable to the state of the art when explaining images without occlusions.
HUMAN RESOURCES DEVELOPMENT IN THE IMPLEMENTATION OF SERVICE EXELLENCE AT THE LIBRARY AND ARCHIVES DEPARTEMENT OF SUKABUMI REGENCY

The research was motivated by the suspicion that the development of Human Resources in applying service excellence at Libraray and Archives Department of Sukabumi regency had not run optimally. Meanwhile, the research was aimed at determining: (1) the strategy of Human Resources development in implementing service excellence at Libraray and Archives Department of Sukabumi regency, (2) Obstacles encountered in developing Human Resources in implementing service excellence at Libraray and Archives Department of Sukabumi regency, and (3) efforts to overcome the obstacles in the develoment of human resources in implementing service excellence at Libraray and Archives Department of Sukabumi regency.The reserach applied qualitative approach. The informants of the research were Head of Sub-section of Personnel and General Affairs, Head of Archives Processing Division, Head of Promotion and Development of Reading Culture Section, Head of Human Resources Development Section, Archivists, and Librarians. The results of the research are (1) Human Resource Development at the Archives and Library Department of Sukabumi Regency is carried out through the implementation of a proportional transfer, promotion, training and performance appraisal system, (2) There are internal and external obstacles in developing human resources at the Archives and Library Department of Sukabumi Regency, and (3) There have been efforts made to overcome both internal and external obstacles in developing human resources at the Archives and Library Department of Sukabumi Regency.Based on the results of the research, the management of the Archives and Library Department of Sukabumi Regency is advised to: (1) Improve the competency of archival and library human resources through formal, non-formal, and informal education related to their work field, (2) Structural officials are to be more technically understanding about procedures and techniques for processing archives and library as this can help carry out the smooth running of official activities, and (3) develop and maintain the consistency of existing facilities and infrastructure in compliance with standardization so that they can better support archival and library human resources in performing official activities.
A study on research trends in speech studies of Japanese learners with text mining

In the AI era, it is important to extract some keywords of a particular field in order to grasp trends of research and classify them in order to lead to a new research theme.<BR> In this study, we use text mining to analyze speech studies of Japanese learners.<BR> We search 669 previous researches published from the 1980s to the 2010s on Google Scholar with the keywords, ‘Japanese’, ‘Learners’, ‘Speech’, and ‘Pronunciation.’<BR> As a result of the search, we observed how its trend has changed.<BR> For text mining we use KH Coder, a free software.<BR> 1) As a result of conducting analysis of frequent words, we found a lot of more research regarding formation than perceptual parts of pronunciation.<BR> 2) As a result of analyzing the co-occurrence network of frequently occurring words, it was possible to visualize the frequency of research themes.<BR> 3) We also analyzed how research trends have been changing since the 1980s to the 2010s. The number of researches published has been increased, and themes have also become further diversified since the 1990s. During the 2000s, research in relation to speech recognition became outstanding with some useful techniques of it. Since the 2010s there has been a lot of research in regard to speech education and accent education.
Academic Leadership in the New Normal

The Department ChairVolume 32, Issue 2 p. 29-30 Book Review Academic Leadership in the New Normal Joe P. Dunn, Joe P. DunnSearch for more papers by this author Joe P. Dunn, Joe P. DunnSearch for more papers by this author First published: 01 October 2021 https://doi.org/10.1002/dch.30419Read 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. Volume32, Issue2Fall 2021Pages 29-30 RelatedInformation
Effects of Airline In-flight Attendants’ Job Competency on Brand Image and Reuse Intention

초록·키워드 목차 오류제보하기 The purpose of this study is to analyze the effect of airline cabin crew"s job competency on brand image and passenger"s intentions to reuse. For the empirical analysis of the study, 260 copies of data were collected by conducting a survey targeting those who had experience using domestic/foreign aircraft. 249 copies were used for the final analysis, and the programs used were SPSS v.18 and AMOS v.18. The findings are summarized as follows. First, it was found that the safety management competency, safety responsibility competency, and service competency of airline cabin crew have a positive effect on brand image formation. Second, it was found that airline cabin crew"s safety management competency, safety responsibility competency, and service competency have a positive effect on reuse intention. Third, the brand image was found to have a positive effect on the intention to reuse. These results are expected to be used as basic data for understanding the mechanisms among airline cabin crew"s job competency, brand image, and performance, and for preparing competency reinforcement strategies to improve airline personnel service levels. #Airline Cabin Crew #Job Competency #Brand Image #Reuse Intention AbstractⅠ. 서론Ⅱ. 이론적 배경Ⅲ. 연구설계Ⅳ. 실증분석Ⅴ. 결론참고문헌
Facial Recognition in Public Areas

The security of information nowadays is very significant and difficult, so there are a number of ways to improve security. Especially in public areas like airports, railway stations, Universities, ATMs, etc. and security cameras are presently common in these areas. So, in this paper, we are presenting how Facial recognition can be used in public areas like airports, toll gates, offices, etc. We are comparing or matching a face of a person who we want to detect, with the video which is recorded through CCTV. There are certain algorithms to detect faces from video like through HAAR cascades, eigenface, fisher face, etc. open-source computer vision library is used for facial recognition.
The Influence of Word Search Puzzle on Students’ Vocabulary Mastery at Seventh Grade of 10 Junior High School Serang (SMP Negeri 10 Kota Serang)

The objective of this research was to find out the influence of using words search puzzle in students’ vocabulary mastery at the seventh grade of SMP Negeri 10 Kota Serang. The quantitative method was used in collecting the data with quasi experimental design. The population of this research was the seventh-grade students in SMP Negeri 10 Kota Serang. The cluster random sampling technique was conducted to choose the sample in this research. The result was the sample of this research was the students of VII D as control class and VII A as an experimental class. In collecting the data, the researcher conducted pre-test and post-test. In analyzing the data, the researcher used a T-test. The result of the calculation showed the t-count is higher than the t-table (12.87 ≥ 2.02) with the significant level of 0.05. Therefore, it can be concluded that there was an influence of using words search puzzle as a teaching technique on students’ vocabulary mastery. Furthermore, the researcher would like to suggest the English teachers use words search puzzle in teaching vocabulary.
Webinar as one of the infopreneur products during the pandemic

Considering the current pandemic, one of the activities that is most often carried out now is webinars. With the help of technology, seminars can now be conducted without having to meet face to face. This is what makes online seminars known as webinars. The main objective of this paper is to know webinar as an information product and webinar as an integrated tools during the pandemic. The subjects of this research are 30 college students who doing a webinar during online class in Universitas Widyatama, and the object of this research is webinar activity. The research method used is quantitative method. This research is divided into two levels, namely webinar as an information product and webinar as an integrated tool. The results show that there are positive and significant results between webinar as information product and pandemic era and there are positive and significant results between webinar as integrated tools and pandemic era.
Examining the effect of Readtheory on EFL students’ reading proficiency

Read theory has been used by over 14,000,000 users but little is known about the effect of Readtheory on students’ reading proficiency. This study examines the use of Readtheory in an EFL Reading class. It involved 72 first-year EFL university students in Indonesia. To measure the baseline and the end line, a free android-based app called EnglishScore was utilized. Readtheory exercises were conducted in one semester as an outclass activity, embed in a regular reading course. The Readtheory program report that consists of text Lexile level progress, the grade level progress, and the ELA standards (key ideas and details, craft and structure, and integration of knowledge) were analyzed to take a deeper dive into students’ comprehension levels. As an online resource that is also commonly linked to ER programs, this study also took a survey on the degree of enjoyment that students feel during the Readtheory program. The results of the data analysis show that Readtheory increased not only students’ general reading proficiency but also grammar, vocabulary, and listening proficiency. At the micro-level, the comprehension level of the students on key ideas and details, craft and structure, and integration of knowledge were presented. The students also reported their enjoyment in three out of four dimensions that were asked in the questionnaire. The study implied that extending reading practices beyond the classroom is beneficial and free online resources which offer ease of monitoring should be endorsed and be made as part of school policy or curriculum.
Fraudulent Transactions Predictions using Ensemble Method with Features Extractions Techniques

The purpose of this research is to present a method to predict fraudulent transactions, adopt ensemble method and feature extraction by researching bitcoin trading data from Stanford University where published a total of 59,788 records for public use. There are three methods for predicting fraudulent transactions comprise with (1) ensemble method combines and feature extraction with Node2Vec and centrality, (2) ensemble method and feature extraction with N ode2Vec and (3) ensemble method and feature extraction with centrality. In each method, the data imbalance is solved by using SMOTE method and data sharing for the performance testing of the model using 10-fold cross-validation and modeling with ensemble method. The model performance is measured with the F1 Score, precision, and recall. The results of each method reveal that method 3 is the most effective in predicting accuracy.
A Study on Pakdasht’s Schools from Complexity, Centrality and Formality Perspective

The main objective of the present study is to study Pakdasht’s schools from complexity, centrality, and formality. The population of this study was all teachers and school managers of Pakdasht amounted to 314 subjects. The sample size was determined using the Cochran formula and 173 teachers and school managers were selected through random sampling.  The data collection tool includes a standard questionnaire, school's organizational structure questionnaire. The organizational structure questionnaire has acceptable validity and reliability of the questionnaire in the organizational structure section is determined as 0.89 using Cronbach’s alpha and Kolmogorov-Smirnov Test was applied to assess the normality of data and SPSS software and one-sample t-test was used to test hypothesis and access to objectives of the study. Results of the study indicated that Pakdasht’s organizational structure is somewhere between organic and mechanics from complexity, centrality, and formality perspective.
Study on the relationship between college English and global citizenship

The purpose of this study is to investigate the relationship between college English education and global citizenship, and to present the meaning and future direction of English curriculum as college English. To achieve the research goals, a questionnaire survey was conducted on 190 college students who are taking a compulsory English course. The collected data was analyzed through t-test and ANOVA. The result of the analysis showed that first, the group with high English proficiency had higher level of global citizenship than the group with low English proficiency; second, the group with high interest in English had higher global citizenship than the low group; third, the group with high interest in foreign languages had higher global citizenship than the low group’ fourth, the start time of English learning did not lead to differences in level of the global citizenship; fifth, the students who had experience in staying abroad more than one month had the higher level of global citizenship than the ones who had visited abroad only one or two times. These results imply that English education is closely related to global citizenship. Lastly, the direction of future college English courses was discussed based on the results.