Reviewerly/exHarmony huggingface dataset:
Creating A Reader-based Digital Gallery

School libraries are knowledge centers and platforms for teachers and students in campuses. Readers can be resource takers also producers under the implement of school knowledge management strategy. The NEHS library created a reader-based digital gallery to catch readers’ eye ,to inspire their participation , trying to make a Library 2.0 platform for 3000 k-to-12th readers, to make them not only readers but also writers, not only resource takers but also producers and sharers. Action Research is the approach to practice with for 2 years. Changes happened to readers. Precise evidence and criteria need more efforts and further research.
Theoretical Foundations of the Principles of Increasing the Effectiveness of Teaching Information and Communication Technologies Based on Didactic Laws

The article examines the subject, functions and main categories of didactics. The essence of the ICT process. Description of educational processes, their relationship in the educational process. The effectiveness of pedagogical and information technologies depends on compliance with the laws of education, creates a wide range of opportunities for the creation and implementation of a system of objective assessment of the quality of the educational process and training.
Analyzing an Interactive Media English in Teaching Kindergarten

This research is aimed at children who are actively involved in technology for educational reasons. Interactive media is considered as an inseparable part of the language learning process to support the efficiency of the learning process by taking into account the needs and achievements of students. Therefore, the application of the information and communication technology (ICT) curriculum in early childhood education is one of the efforts to develop the education sector to improve and support the learning, language and literacy of students with ICT. This descriptive research aims to describe learning English for Mathematics with ICT for kindergarten students. In addition, the description can be one of the basic forms of developing interactive learning based on student independent learning. In addition, this learning arrangement also aims to improve the learning habits and independence of students.
Engraved digit detection using HOG–real AdaBoost and deep neural network

This paper proposes a framework for recognizing sequences of digits engraved on steel plates. These digits are normally blurred, dirty, not clear, tilted, and sometimes overlapped by other digits. Several digits in a string with uneven spacing and different sizes are detected at the same time. The framework consists of two main components called histogram of oriented gradient-real AdaBoost module and deep neural network module. The first component is used to detect digit windows, and the second component is employed to recognize digits inside the detected windows. Experimental results demonstrated that the proposed framework could be a potential solution to recognize the engraved digits.
Audit Infrastruktur IT Dalam Memenuhi Kebutuhan Bisnis

The audit of the Information Technology infrastructure in this journal uses the ISO 27001 standard which iscarried out at a company engaged in the service sector in West Sumatra Province. As a company that is quitedeveloped and already has an adequate IT infrastructure in running its business, it is felt necessary to carryout an IT audit to ensure whether the IT devices they have already have adequate internal controls and at thesame time as preventive measures for business risks such as: operational, reputation , legal, compliance andstrategic. Given that IT is an important asset in operations that can increase the added value andcompetitiveness of a company while its implementation contains various risks, companies need toimplement IT Governance.
타이완 한국어 교육의 회고와 전망 - 중국과의 비교를 겸하여 -

This study briefly outlines the 64 years of Korean language education in Taiwan and examines the current situation of Korean language education. In addition to the characteristics of the three universities with Korean language departments installed, I also look for suggestions that can raise the level of Korean language education in Taiwan in the current situation in 2020. In addition, by comparing Korean language education in China, which is a Chinese-speaking speaker, it also looks for a point where Korea and Taiwan share the geopolitical peculiarity of the two- Korea and Taiwan-China bilateral relationship. The purpose of this study is to contribute to the continuous development of Taiwanese Korean language education, a beautiful island of Formosa, which belongs to Northeast Asia politically and economically and Southeast Asia culturally and geographically. To this end, it is proposed to open the Korean language department of the National Taiwan (Normal) University. In addition, through the establishment of the Taiwan Korean Language Education Association, I hope that there will be more active exchanges and cooperation with the established Korean Language Education Research Association in China.(Yonsei University)
Implementasi Data Mining Untuk Prediksi Penyakit Diabetes Dengan Algoritma C4.5

Diabetes is a worldwide health problem with an estimated 120 million sufferers. This figure will increase if there is ignorance of the general public about the factors that can trigger diabetes. In this study, the aim of this research is to make a prediction model using Data Mining Algorithm C4.5 which produces a decision tree and tests carried out using Rapidminner so that diabetes prevention can be done as soon as possible. In this study, there are several classification attributes, namely body weight, age, blood pressure, pulse and blood sugar levels. The results of this study will be used as a reference to be able to see whether a person is at risk of diabetes or not based on predetermined attributes.
Analysis of the effectiveness of WhatsApp in improving online learning English

This research was a quantitative study using a questionnaire instrument. This study aimed to determine the responses of students of SMP Negeri in Bandar Lampung in the learning process using the WhatsApp application and to analyzed its effectiveness from the results of the questionnaire. Students involved in this study amounted to 30 students. Students were asked to fill out a questionnaire that has been made by the researcher, which amounts to 20 statements. dx.doi.org/10.23960/aksara/v21i2.pp185 -190
The Reconciliation of Secondary Liability for Trademark and Copyright Law Through Tort Law in Different E-Commerce Situations. a Comparative Study Between Us and EU Systems.

Over the last twenty years, IP infringements in online platforms and e-commerce Intermediaries have been fast growing. Since direct infringers are usually posting content online anonymously, trademark and copyright holders try to seek enforcement under secondary liability against Internet Intermediaries. Internet services providers (ISPs), search engines, and online marketplaces are the most prominent intermediaries.There is no harmonization of secondary liability under International IP law. US and EU lawmakers have enacted consistent regulations, aimed at balancing IP protection and innovation. Such safe harbors exempt Internet Intermediaries from liability unless they are aware of and do not adequately impede infringing content. But, how can an ISP become aware of IP infringing content on its platform? Even though they do not have a legal obligation to monitor illegal content, legislators kindly invite Intermediaries to track user activity for current and upcoming infringement.Secondary liability is further recognized by US and EU Courts; however, the case law is still in the process of fine-tuning. Despite the fact that every country names their own secondary liability theories (US applies the contributory and vicarious liability doctrines, while the EU applies general principles of civil, tort, competition and criminal laws), they both focus on similar standards: 1) the standard knowledge and awareness of the infringement, and 2) the right and ability to supervise.Current US and EU secondary liability standards do not address all reasonable factors to trigger secondary liability. This influences legislation and case law, setting an uncertain secondary liability outcome of IP infringement cases against Internet Intermediaries’. I suggest that tort law can tackle this problem.
The Implementation of Podcast Media for Listening Skills Learning Medium of Class XI Student in SMAN 1 Tumpang

This article was conducted with the aim of describing the learning process of applying Podcast media as a learning medium to train the listening skills of class XI language SMAN 1 Tumpang and also to determine student responses to Podcast media. This research method uses descriptive qualitative method and the source of the data in this study were the students of class XI Language, totaling 20 people on German subjects with the theme Essen und Trinken which is done online via WhatsApp group and Google Form. The data on the application was obtained through questionnaires and field note instrument. The results of this study indicate that the application of Podcast media in learning goes well, students feel helped in practicing listening skills. Student responses to the application of Podcast media showed positive results. Through the application of Podcast media, students get new vocabulary on the theme Essen und Trinken.
Validitas Konstruk Peabody Picture Vocabulary Test-Edisi Keempat (PPVT-4) pada Anak dengan Sindrom Down

Receptive language is importance to facilitate the acquisition of language skills. Measuring receptive language skills is crucial, especially for children with language limitations, such as children with Down Syndrome (DS). This study aims to examine the construct validity of the Peabody Picture Vocabulary Test - Fourth Edition (PPVT-4) in children with DS. The research respondents consisted of 98 children with DS who are members of Persatuan Orang Tua Anak dengan Down Syndrome (POTADS) in the Jakarta, Bandung and Padang. Data were collected individually and administered by a psychologist. Data were analyzed using confimatory factor analysis (CFA). The results show that the one-factor model for set-1 to set-10 fit with the data and all items were valid, except for item 106. The implication is the PPVT-4 can be used to measure receptive language abilities of children with DS and estimate of the age equivalent of receptive language abilities.
Corporate Governance, Gender Diversity and Bank Performance: Evidence from Ghana

The study examined the impact of corporate governance and gender diversity on financial performance of commercial banks in Ghana. The study sampled 23 banks over a 9-year period using balanced data extracted from the annual report of the banks. The study used both correlation analysis as well as panel regression analysis to measure the objectives of the study. The regression analysis shows that BS, NED, FBC, FRB does not significantly influence financial performance of commercial banks in Ghana. Furthermore, FCEO had a positive and significant relationship with ROE and ROA. The results of the study indicate that, banks with female CEOs, have significant improvements in their financial performances. It appears that females have positive and significant influence on banking policies and strategies which translate to higher performance. The study recommends that banks should consider gender balance when composing their boards. More females should also be considered for the positions such CEO; where females appear to make significant contributions.
DEFT: Distilling Entangled Factors.

Disentanglement is a highly desirable property of representation due to itssimilarity with human understanding and reasoning. However, the performance ofcurrent disentanglement approaches is still unreliable and largely depends onthe hyperparameter selection. Inspired by fractional distillation in chemistry,we propose DEFT, a disentanglement framework, to raise the lower limit ofdisentanglement approaches based on variational autoencoder. It applies amulti-stage training strategy, including multi-group encoders with differentlearning rates and piecewise disentanglement pressure, to stage by stagedistill entangled factors. Furthermore, we provide insight into identifying thehyperparameters according to the information thresholds. We evaluate DEFT onthree variants of dSprite and SmallNORB, showing robust and high-leveldisentanglement scores.
Substation Behavior Recognition Technology Based on Deep Learning

In the field of computer vision, human behavior recognition technology is still a hot topic. Especially in the field of electric power, in order to identify the behavior of the staff in the power grid area, it is necessary to use human behavior recognition algorithm to establish behavior recognition model. In order to solve the problem of behavior recognition of Substation Scene staff, this paper proposes the use of deep learning action classification technology to realize the behavior analysis of personnel, and selects 3D convolution neural network to identify the behavior of personnel in the video. Firstly, the influence of different feature extraction networks and different network parameters on behavior recognition is studied. The network is improved by adjusting network parameters and model optimization method, and the 3D network parameters that are most conducive to behavior recognition are selected. Then, the spatial flow information and time flow information in video data are extracted as the input of behavior recognition model, so as to further improve the behavior recognition Finally, the video data collected from substation is used to verify the model. The experimental results show that: the deep learning based human behavior recognition technology can accurately identify the behavior of people from the video region.
위해평가를 통한 치즈에서의 Listeria monocytogenes 식중독 발생 가능성 분석

Listeria monocytogenes is a highly pathogenic gram-positive bacterium that is easily isolated from cheese, meat, processed meat products, and smoked salmon. A zero-tolerance (n=5, c=0, m=0/25 g) criteria has been applied for L. monocytogenes in cheese meaning that L. monocytogenes must not be detected in any 25 g of samples. However, there was a lack of scientific information behind this criteria. Therefore, in this study, we conducted a risk assessment based on literature reviews to provide scientific information supporting the baseline and to raise public awareness of L. monocytogenes foodborne illness. Quantitative risk assessment of L. monocytogenes for cheese was conducted using the following steps: exposure assessment, hazard characterization, and risk characterization. As a result, the initial contamination level of L. monocytogenes was -4.0 Log CFU/g in cheese. The consumption frequency of cheese was 11.8%, and the appropriate probability distribution for amount of cheese consumed was a Lognormal distribution with an average of 32.5 g. In conclusion, the mean of probabilities of foodborne illness caused by the consumption of cheese was 5.09×10-7 in the healthy population and 4.32×10-6 in the susceptible population. Consumption frequency has the biggest effect on the probability of foodborne illness, but storage and transportation times have also been found to affect the probability of foodborne illness; thus, management of the distribution environment should be considered important. Through this risk assessment, scientific data to support the criteria for L. monocytogenes in cheese could be obtained. In addition, we recommend that further risk assessment studies of L. monocytogenes in various foods be conducted in the future.
Correction to: Red Earth, Green Glass, and Compositional Data: A New Procedure for Solid-State Elemental Characterization, Source Discrimination, and Provenience Analysis of Ochres

The Online First version of this article unfortunately contained an error in the dimensions of LiBo fused bead shards described in the section “Lithium Borate Fusion Methods”.
Intellectual potential of the youth: coceptualization of meaning and methodological bases of research

Analyzed are scientific researches, the authors of which substantiate the concept of intellectual potential and determine methodological foundations for the diagnosis and development of the intellectual potential of youth. The authors of the article considered the concept of “intellectual potential” from the standpoint of various methodological approaches, showing advantages of young people in formation of intellectual potential: speed of mastering new competencies, high creativity, low reproductive inhibition during the development of activities. Problems of development of intellectual potential of Russian young people are revealed. The components of intellectual potential are highlighted, among which a special place is for motivation for mastering knowledge, abilities, skills, willingness to take risks and uncertainty, information culture, etc. It is proposed to determine intellectual potential of young people, based on levels of development of its components. Requirements for educational environment for development of intellectual potential of modern youth are described as well. The conclusion is made, that intellectual potential of modern youth must be formed in a specific educational environment with specific conditions.
DEVELOPMENT OF INNOVATIVE POTENTIAL OF STUDENTS IN THE EDUCATIONAL PROCESS

Изменения, происходящие в обществе, усложнение профессиональных задач делают актуальным запрос к высшими учебными заведениями о подготовке специалистов к инновационной деятельности. Для развития инновационного потенциала студентов современный образовательный процесс в высшем учебном заведении должен иметь личностно-профессиональную направленность. Значимым фактором развития инновационного потенциала студентов является образовательная среда и психолого-педагогическое сопровождение образовательного процесса. Changes in society, the complexity of professional tasks actualize the request to universities to train specialists who are ready for innovation. To develop the innovative potential of students, the modern educational process in universities should be focused not only on the professional training of students, but also on the development of personality. Innovative activities, solving creative tasks to create new products and technologies require active work of the intellect, motivation and will, and this stimulates the development and selfdevelopment of a person. An important factor in the development of innovative potential of students is the educational environment. The functioning of this environment should be based on a systematic analysis of the object, subject, processes, and conditions of innovative development. In addition, it is important to determine the criteria for the effectiveness of the innovation environment, as well as to implement the principle of ensuring the continuous development of students. For the development of innovative potential, it is necessary to use psychological and pedagogical support of the educational process. The main principle of psychological and pedagogical support of the educational process is to take into account the individual characteristics and capabilities of students, the development of their resources. Psychological and pedagogical support of the educational process should be aimed primarily at the actualization of personal competencies that determine innovative activity. For the development of innovative potential, students should participate in the choice of an individual educational trajectory, show educational initiatives and implement them in research activities.
ONLINE LEARNING OF INDONESIAN LANGUAGE IN CLASS IV MI MUHAMMADIYAH 2 ON INSTRUCTION TEXT IN COVID-19 PANDEMIC

The research aimed to described (1) Online learning scenarios which is doing by teachers during the COVID-19 pandemic on instruction text learning, (2) Difficulties of students and teachers experience when implementing on instruction text learning in the pandemic,(3) Student and teacher responses to online learning during the pandemic on instruction text learning, and  (4) Differences in students’ knowledge and skills of instruction text learning in online learning. The research was conducted for 1 month in September 2020. The subjects of study are two teachers and fourth grade students of MI Muhammadiyah 2. The research procedure used was descriptive statistics. Data collection techniques in this research through online interviews. The results of MI Muhammadiyah 2 online learning research during the COVID-19 pandemic show that : (1) Online learning scenarios which is doing by teachers during the COVID-19 pandemic are Distance Learning and continue to make lesson plants that are simply arranged and contain the main things including pre–activities, core activities and post–activities. (2) Difficulties of students and teachers experience when implementing on the instruction text learning in the pandemic were 80% in the moderate category and 20% in the low category, 3) Student and teacher responses to online learning during the  COVID-19 pandemic was 20% showing positive responses, 40% showed neutral responses and 40% showed negative responses. (4)The results of the calculation of Asymp (2 – Failed) reached 0,118. The data shows that 0,118 is greater than 0,05. So it can be concluded that students have different knowledge and skills of instruction text learning in online learning Keywords : distance Learning, COVID-19, Online learning
RecSal : Deep Recursive Supervision for Visual Saliency Prediction.

State-of-the-art saliency prediction methods develop upon model architectures or loss functions; while training to generate one target saliency map. However, publicly available saliency prediction datasets can be utilized to create more information for each stimulus than just a final aggregate saliency map. This information when utilized in a biologically inspired fashion can contribute in better prediction performance without the use of models with huge number of parameters. In this light, we propose to extract and use the statistics of (a) region specific saliency and (b) temporal order of fixations, to provide additional context to our network. We show that extra supervision using spatially or temporally sequenced fixations results in achieving better performance in saliency prediction. Further, we also design novel architectures for utilizing this extra information and show that it achieves superior performance over a base model which is devoid of extra supervision. We show that our best method outperforms previous state-of-the-art methods with 50-80% fewer parameters. We also show that our models perform consistently well across all evaluation metrics unlike prior methods.
Design Optimization of Induction Motor Using On-Line Improved Genetic Algorithms

The main objective of this work is the application of a new architecture of genetic algorithms to the induction machine design in order to improve their performance. The latter is proposed by our research team based on modified crossing and mutation operators who have fixed values for conventional genetic algorithms. In addition, this version is characterized by a double loop and a random crossover. Firstly, to demonstrate the ability to locate the global optimum with this version algorithm a mathematical function was used. Then we approached the second phase which its application in real time to the induction motor optimized design problem. Knowing that, the machine is a highly coupled with multivariable system and constraints. Finally, the results obtained have been analyzed where we have found that satisfactory and can be declared that adaptation algorithm is effective in locating rapidly the region in which the global optimum exists in relation to the classical genetic algorithm.