Reviewerly/exHarmony huggingface dataset:
The evolution of managerial skills set against the rise of artificial intelligence: A mixed methods approach

Our article examines the impact of AI on managerial skills. Our data was collected from AI experts via a qualitative study (Study 1 — 40 respondents), which was then confirmed by a quantitative study (Study 2 — 103 other respondents). Our findings highlight the managerial skills that are bound to be replaced or augmented, as well as the technical and non-technical skills that managers need in order to work with AI.
A Comprehensive Study on Different Methodologies and Features in Synonym Identification for Language Processing

Choosing the wrong word may convey unintended connotations, meanings or attitudes in a mach-ine translation or natural language generation system. Identifying near synonyms like near, closer, almost and close by -- words that share the same core meaning but differ in their nuances— can be made only if knowledge about their differences is available. Identifying such  synonym of a word/entity in the given context is a critical and trending concept in Natural Language Processing (NLP) which has immense application in various fields like word sense disambiguation, text summarization, document retrieval etc. There are wide variety of technique and methodologies have been proposed for identification of synonyms in a given context by utilizing various dataset or corpus. Identifying synonym in a given context has become more trending topic in a research field of NLP. In this paper we try to discuss various technique and works that has been used to solve automatic synonyms retrieval problem.
SPECIFICATION OF A BUSINESS TRAINING MODEL USING THE VIRTUAL CLASSROOM BEFORE COVID-19

Since its inception, the Internet has been a hegemonic factor in academic and professional training, although its use as a tool for information processing has not even been explored. In this sense, the objective of this work was to establish the reliability and validity of an instrument that measured the perception of Internet use. A non-experimental work was carried out with a non-probabilistic selection of 340 students from a public university in central Mexico. The results show a total percentage of variance explained by two perceptual dimensions that allude to the search and selection of information, although the type of design limited the results to the research scenario, suggesting the inclusion of factors related to the beliefs of use of Internet and the provisions as determinants of intentions and the use of digital networks.
Optimization Of An Online Store Price Recommendation System Using Hybrid

Recommender Systems (RSs) are software tools and techniques that provide suggestions for items that are most likely of interest to a particular user. We take a look at the online-store price recommendation system, the processes and methodology and the steps taken to design the system. We will also evaluate the research methodology and elaborate on the basic functionalities of the recommendation system. Store price Recommender Systems (RSs) are software tools and techniques that provide suggestions for products that are most likely of interest to a particular user. This paper aim to design and develop an online store price recommendation system using Hybrid techniques, its goal is to suggest viable products to users and also provide real time cost/price of products. The system is based on user’s evaluation of items or previous purchases records. However, this has been known to expose two major issues: sparsity problem and scalability problem The proposed system is designed using the Object-Oriented Analysis and Design Methodology (OOADM) owing to the fact that it is a data driven methodology and concentrates on several views and perspectives of data. The system to be developed is an online web application that allows interaction from both user and administrator.
Not Forgetting – 80s Style

Keeping in mind the work done by data librarians is key to understanding the importance of providing open and free access to data. Standards such as persistent identifiers (PIDs) were created to provide long-lasting access to all types of digital materials and resources. Providing new ways to inform and instruct researchers and other users on the importance of making data available for sharing, reproducibility, and re-use helps in driving good and effective social policy for researchers.
Peningkatan Kemampuan Membaca Permulaan Melalui Permainan Huruf dan Kata dengan Menggunakan Gaya Belajar Visual, Auditori dan Kinestetik

The purpose of this research was to describe the implementation process play letter and word and to understand improving early reading ability of children in group B1 through play letter and word. The study was conducted on group B Kindergarten with of fiftten children. This study used action research methods by Kemmis and Taggart which consist of 4 stages (plan, action, observation and reflection). This study consisted of two cycles, each cycles consisting of 8 sessions. Data collecting techniques used observation, field notes and documentation. Data analysis using quantitative and qualitative data. Quantitative data analysis with descriptive statistics that compare the result obtained from the first cycle and the second cycle. Analysis of qualitative data by analizing data from the observation, fields notes and documentation during the study to the steps of data reduction, data display and data verification. The result of this study showed that there was the improving early reading ability through play letter and word using learning style visual, auditory and kinesthetic with score in pre cycle 34,8 had improvement to 51,4 and become 63,5 in cycle II and excellent growing category Keywords: early reading ability, playing letter and word, learning style visual, auditory and kinesthetic
Important factors in learning English as a foreign language

It is clear that learners learn or acquire languages differently. Some learners learn a language with less efforts in short time but many learners learn with very hard work in long time. Even English language is learned in numerous ways in the classroom by learners. Specifying the ways and factors can help instructors to treat differently with their learners to learn target language naturally. This study was done in English language department of Parwan University that involves introduction, learning style and personality, methods, oral assessment, writing assessment and conclusion to determine the factors that could help learners to learn English language. The aim of this research is to investigate effective factors that cause to learn English as foreign language fluently and accurately. The data was collected by doing semi structured interview and reviewing some valid books, academic articles and journals from libraries and internet. The qualitative research method is used in conducting this research for analyzing and interpreting the data. It is concluded with the elements which can be effective to improve them in the teaching process for acquiring and learning target languages fluently and correctly.
Establishment of an early warning system for international trade tensions in the Heilongjiang province of China

In 2020, the global economic and trading environment has undergone major changes due to the impact of the global epidemic of the COVID-19. It is not only the world economy that has seriously suffered, protectionism in international trade is growing, and economic and trade frictions between countries with many factors have sharply worsened. Faced with a new situation and new challenges, accelerating the construction of an early warning system for international trade conflicts in Heilongjiang Province has become an important strategic issue of general importance.
Load Redistribution Strategy Based on Dynamic Information to Cascading Failures

The global collapse caused by overload is a hot topic in the research of the robustness of thedependent networks. Compared with the homogeneous dependent networks, the research of the robustnessof the heterogeneous dependent networks is less. In this paper, based on the study of the robustness of thehomogeneous dependent networks, the dependent networks composed of different types of heterogeneousnetworks are generated, and the corresponding strategies are proposed to improve the network robustness inthe case of overload. Simulation tests show that the overall robustness of the dependent heterogeneousnetwork is affected by the degree of heterogeneity of a single network, and highly related to the types ofconnections between networks. When the connection between networks is function dependent, theconnection strength should be reduced in case of cascading failure; the load redistribution strategy based onthe medium number is easy to cause the failure of the central node and reduce the overall robustness of thenetwork. Simulation results show that the strategy is effective to improve the overall robustness of thedependent heterogeneous network
특허 마이닝을 이용한 국방과학기술 연결망 연구

Purpose: The purpose of this paper is to analyze the technology convergence and its characteristics, focusing on the defense technologies in South Korea.Methods: Patents applied by the Agency for Defense Development (ADD) during 1979~2019 were utilized in this paper. Information Entropy analysis has been conducted on the patents to analyze the usability and potential for development. To analyze the trend of technology convergence in defense technologies, Social Network Analysis(SNA) and Association Rule Mining Analysis were applied to the co-occurrence networks of International Patent Classification (IPC) codes.Results: The results show that sensor, communication, and aviation technologies played a key role in recent development of defense science and technology. The co-occurrence network analysis also showed that the convergence has gradually enhanced over time, and the convergence between different technology sectors largely emerged, showing that the convergence has been diversified.Conclusion: By analyzing the patents of the defense technologies during the last 30 years, this study presents the comprehensive perspectives on trends and characteristics of technology convergence in defense industry. The results of this study are expected to be used as a guideline for decision making in the government''s R&D policies in defence industry.
Road Damage Identification Using Deep Learning Method Convolutional Neural Networks Model

Roads are an important infrastructure for daily human life in land transportation. All land transportation activities run on roads so that roads have great benefits for human life. The road network has a strategic role in development, for that it must be managed as well as possible so that its function can be felt as expected (Directorate of Public Works, 2005). All of these road uses are very beneficial for the smooth running of human activities, but there is a risk of accidents that can occur on the road. One of the reasons is because the road conditions are not suitable for use due to damaged road conditions. As many as 10 to 20 percent of road accidents are caused by road damage (Bambang Susanto to Kompas, 2016). Monitoring of road conditions has obstacles because the number of roads that have been built is so many that it can slow down the time needed to find out the current road conditions. The use of DL for object identification has been widely used, one of which is the application of the CNN model to identify road damage (Maeda, 2018). The CNN model generated in this study was used to identify road damage along Jalan Karangrejo to Jalan Lamongan Raya and Jalan Setia Budi to Jalan Perintis Kemerdekaan. The results of model identification are then analyzed for the accuracy of the results from the CNN model with validation data. The resulting output is the type of road damage and the location of the damage. The CNN model produced was able to identify as many as 205 road damage points from the research location along 11.7 kilometers along with the damage class. The results of the application of this CNN model based on the validation results have spatial accuracy with an RMSE value of 8.38 meters and have an overall accuracy value of 85.34% and a kappa of 82.36% using a confusion matrix. This shows that the resulting road damage identification model is feasible to use and is able to help efficiency in monitoring current road conditions so that road repairs can be carried out immediately.
SISTEM INFORMASI PEMBAYARAN KLAIM BPJS FKTP PERSALINAN PUSKESMAS DI KABUPATEN LAMPUNG UTARA PADA BPJS KESEHATAN KOTABUMI MENGGUNAKAN METODE WATERFALL

The Social Security Administering Body (BPJS) of Health is a public legal entity established to organize a health insurance program for all Indonesians, both among the lower and upper levels and employees of private and non-private companies. BPJS Health of Kotabumi branch in cooperation with Health Facility of First Level (FKTP) of Puskesmas in Regency of Lampung Utara, amounting to 26 Puskesmas. Based on the total number of Puskesmas, BPJS Health has activity in every month that is payment of BPJS Health claim specially on delivery at Puskesmas in North Lampung Regency. In the implementation of BPJS Health claim payments on report generation is still done using Microsoft Excel. The problems found in these activities are as in collecting separate data, the occurrence of error in human error in recording data claims payments because often the occurrence of redundancy of data repeatedly caused duplication of data caused by the user in doing penginputan data.Based on these problems then the researcher makes a payment system BPJS FKTP claims of labor by using waterfall method and Visual Basic 6.0 to make the application. Data collection methods are interview method, observation method, literature study method, with the purpose of assisting in making the required reports obtained quickly, precisely and facilitate the search data that can improve the effectiveness of work.
Grantee guide to repository deposit Bill & Melinda Gates Foundation open access repository deposit

Grantee Guide for how to upload an author accepted manuscript to an open access repository in order to comply with the Bill & Melinda Gates Foundation Open Access Policy.
The Relationship between Stress, Self-Esteem and Learning Attitudes of Female Middle School Students

The purpose of this study was to examine the relationship between stress, self-esteem, and learning attitude of female middle school students. The participants of this study were composed of 367 female middle school students. The stress inventory, self-esteem scale, and learning attitude inventory were used after verifying reliability and validity. The collected data were analyzed through SPSS 23.0 and the significance level was set to .05. The results of this study were as follows. First, there was no significant difference in stress, self-esteem, and learning attitude of female middle school students according to grades. Second, it was found that the stress of female middle school had a negative effect on self-esteem. Third, it was found that female middle school students’ stress had a negative effect on their learning attitude. Fourth, it was found that the self-esteem of female middle school students had a positive effect on their learning attitude. In this study, various methods to positively affect the stress, self-esteem, and learning attitude of female middle school students were discussed.
Analysis and Design of Employee Attendance Applications at the Regional Revenue Service Office of Cirebon Regency

This study contains the analysis and design of attendance applications at the Cirebon district revenue office with the aim of assisting the process of recording employee attendance data at the Regional Revenue Service and minimizing the possibility of fraudulent processes that may occur during absenteeism. The method of analysis and software design used in this paper is 2 stages in the waterfall method according to the pressman which consists of stages of analysis, design, testing, and implementation. The representation of the analysis phase uses a flowmap and data flow diagram, the database design uses an Entity Relationship Diagram (ERD).
PERCEPTION OF FACILITATORS ON THE INTRODUCTION OF THE USE OF MOBILE PHONE FOR INSTRUCTION IN ADULT LITERACY PROGRAMMES IN IBADAN METROPOLIS

This study investigated the perception of facilitators on the use of mobile phone for instruction in adult literacy programmes. The survey research design was adopted and the purposive sampling technique used in selecting fifty (50) participants for the study. Data collected through a set of researcher-designed questionnaire were analysed using descriptive statistics of simple percentages and frequency counts. Results revealed that facilitators have a positive perception on the use of mobile phone for administrative and instructional purposes (Weighted Average (WA) = 3.15). Challenges likely to be faced by adult literacy facilitators in the use of mobile phones in adult literacy programmes include lack of adequate training (mean=3.24), limited number of file formats supported by a specific mobile phone (mean=3.00), additional time needed to develop learning materials for delivery on mobile phone (mean=3.20), risk of distraction (mean=3.00), insufficient knowledge and skills of facilitators on mobile phone use (mean=2.84) and the appropriate content and language of instruction (mean=3.04, SD=0.75). It was recommended based on these findings that government at all levels should endeavour to organise regular and adequate training for facilitators on the use of mobile phone for adult learning.&#x0D; &#x0D; &#x0D;
Visualización de los ajustes curriculares implementados en aula durante la crisis sanitaria COVID-19 en una región de Chile

The educational process during 2020 was directly affected by the COVID-19 health crisis, after being considered a pandemic according to the World Health Organization (WHO, 2020). The objective of the research is to visualize the methodological and work settings used in the classroom during this time. The methodology of this study is quantitative and the data were obtained through a descriptive survey, applied to 14 high school teachers that make up the teaching staff of an establishment in the Maule-Chile Region. The main results indicate the effectiveness of curricular prioritization, the incorporation of ICT as a tool for the content delivery, and the increase in workload, hindering the teaching-learning process compared to 2019. It is concluded that the way of working during the pandemic in the Chilean educational system, although it is not exempt from complications, indicated that teachers manage to adapt to the changes that are presented to them, looking for different strategies, incorporating work tools, and bending the effort, identifying the successes and difficulties to teach during the health crisis.
Health Calorie Counter Application Development Using Progressive Web Apps

The purpose of this research is to develop a calorie counter application using the principles and technology of progressive web apps, which can help users to calculate calorie intake and calories burned. The development method used is extreme programming. Extreme programming provides an agile approach to developing applications. The conclusion of this study is that users can easily calculate the calories burned and calorie intake by using this application and this application can be used on any platform with user experience like a native application.
학령인구 감소에 따른 대학 인근 원룸 수익률 변동과 대안 - 충북 제천시 사립대학 중심으로 -

This study was carried out at the point when college quota reduction began in earnest by focusing on the impact of universities on the local community and the reduction of the student-age population, an absolute risk factor for local universities. Based on the perspective of studio providers around local universities, the percentage of local university quota reductions that will take place over the next 10 years was predicted and further reflected in the studio vacancy rate. The diagnosis of one-room business feasibility around colleges was conducted after net present value(NPV) and internal rate of return (IRR) that were calculated based on the estimated one-room operating income for each year, and then a comparative analysis was carried out with the previously guaranteed rate of return. Finally, a countermeasure according to the results was presented. According to the difference in distance from the university, after selecting 3 sample studios and analyzing the returns, the lower the capital input ratio and the farther away from the university, the worse the financial soundness due to the increase in the vacancy rate. In addition, the decline in demand for one-rooms around the university district due to the decrease in the number of colleges and excess supply of the one-rooms around the university are consistent at an appropriate level, so one-rooms with weak competitiveness have not secured the feasibility of investment as a rental business ,and faced a crisis of being eliminated according to market principles. Therefore, a detailed approach was made to awaken the risk factors of the one-room supplier around the university through a detailed approach to the win-win plan using industry-academia linkages between local communities and universities. Also, before social chaos, the necessity of business conversion through alteration of the purpose of use was confirmed and recommended.
Encoding disorder gold nanorods for multi-dimensional optical data storage

The digital data created by human being grows exponentially in time. Conventional magnetic storage technologies are difficult to meet this challenge. It means that new storage technologies with higher capacity, higher security and longer storage time should be developed to meet the challenge in information age. With the invention of lasers and the rapid development of nanotechnology, multidimensional optical data storage based on the polarization and wavelength dependent responses of gold nanorods was demonstrated to be capable of meeting these requirements. We will review the recent progresses about five-dimensional optical data storage and multilevel storage utilizing disorder gold nanorod from the structured matter point of view and super resolution storage from the structured light point of view, respectively. We also provide outlooks for how to further increase the capacity of the five dimensional optical data storage and our future prospective of this technology.
Influencers y mensajes de odio: jóvenes y consumo de contenidos autocensurados

Although hate messages are nothing new, today they resurface with more vigor than ever. The intensity with which they spread can undoubtedly be largely attributed to social media. One of the most recent phenomena to emerge from these platforms are those known as “influencers”, people with the ability to influence and even modify opinions, mainly among younger audiences. They are also one of the main recipients of hate messages on the Internet. What consequences does this have on the content they generate? The present research aims to detect the reaction of the main influencers in Spain to the hate messages they receive and to study the perception of these reactions by young people who follow them. For this, the methodological triangulation made up of the participant observation, discussion group and survey tools has been used. The results show that some influencers self-censor their content to avoid receiving hateful messages. Young people are aware of self-censorship and, although they believe that there are opinions that deserve it, they see negatively the “spiral of silence” effect that this has generated on social networks.
From teachers’ technological competence to teachers’ professionalism

The purpose of this study is to disclose the theoretical foundations of technological competence and its role in the development of foreign language teachers’ professionalism. The article examines the content and structure of the technological competence which consists of three components: resource, operational and personal. The analysis of both teachers’ and students’ survey data are discussed.