Reviewerly/exHarmony huggingface dataset:
Performance Evaluation and Comparison of Models for Predicting Global Solar Radiation in Ethiopia: A Case Study of Two sites

Accurate estimation of the global solar radiation on a horizontal surface at a place is essential to design and check the performance of solar energy devices. This study focused on evaluating monthly average daily global solar radiation (DGSR) and monthly average global solar radiation (GSR), as well as comparing the six models used in the estimations, over Lalibela and Sirinka in Northern Ethiopia. The best models were selected according to the values of statistical performance evaluation. For Lalibela the best model to estimate DGSR was LO-model with values of MBE=-0.092 KWh/m2day, RMSE= 0.402 KWh/m2day, MPE=-1,969 % and for Sirinka- GM model with values of MBE=-0.575 KWh/m2day, RMSE= 0.643 KWh/m2day, MPE=-9.764 %. The best estimator of monthly average GSR over Lalibela was AP model with values of MBE=0.159 KWh/m2day, RMSE= 0.245 KWh/m2day, MPE=2.802 % and for Sirinka- LO model with values of MBE=- 0.007 KWh/m2day, RMSE= 0.522 KWh/m2day, MPE=0.033 %. At Lallibela site, the estimated monthly average DGSR range from 4.38 KWh/m2 (in August) to 7.16 KWh/m2 (in March) and the monthly average GSR estimated is 4.96 KWh/m2 (in July) and 6.69 KWh/m2 (in March). The estimated monthly mean DGSR range from a 3.80 KW/m2 (in January) to a 5.97 KW/m2 (in May) while the predicted monthly mean GSR varies from a 4.48 KW/m2 (in January) to a 6.75 KW/ m2 (in May) for Sirinka site. Most importantly, results show that estimation of DGSR and GSR not only takes into account meteorological data but also includes the latitudinal difference between the sites (GM model) and values of Nnh (LO model). The overall results suggest that the sunshine based empirical models had better performance compared with the temperature based empirical models for both study sites. Finally, Lalibela site has a higher global solar radiation potential than Sirinka.
Exploring Your First Project

In Chapter 3, I introduced you to setting up everything you needed to get your first Android application written and running on an AVD, with the goal of very quickly getting you immersed in Android Studio, emulators, and your first part of coding. We got results fast! But you almost certainly have a whole bunch of unanswered questions that cropped up as we zoomed through. In this chapter, we'll start a deeper dive into many of the topics, starting with the structure and features of your new Android project. This should start to answer those questions and build your knowledge.
The Menzerath–Altmann Law: Experimenting with Tatar Texts

The Menzerath–Altmann law on the relationship between the length of linguistic units and the length of their components is one of the important laws of quantitative linguistics. This law is a result of an advanced linguistic structures organization and is of great importance for the modern theory of language aimed at revealing the relations between qualitative features and quantitative parameters of the language. The validity of the Menzerath–Altmann law has been confirmed in a number of works on languages with different morphological structures. The main purpose of this paper is empirical testing of the Menzerath–Altmann law on the Tatar language with the help of various fiction texts (both poetry and prose). The distribution of word forms in the Tatar language by length, observed values of the average syllable length depending on the word length, average values of the syllable length predicted by the model, as well as the model parameters were investigated for the analyzed texts. To assess the goodness of fitting of the model, the coefficient of determination R2, which for different texts ranged from 0.676 to 0.999, was used. It was concluded that G. Altman’s formula is in good agreement with the data of the Tatar language. The model predicts not only the decreasing average syllable length with the increasing word length (function monotonicity), but also its subsequent increasing (change in the function monotonicity) for a number of texts.
Identifying Distracted Students using Computer Vision and Statistical Methods

Effective interaction between student and teacher makes a class meaningful. While teachers try their best in delivering the lectures, it is the students who need to be checked from time to time. Computer vision and statistical approaches are being rigorously used for the automation of various activities in our day-to-day life. While one helps to process and analyze visual data, the latter helps in arriving at conclusions. Nowadays, it can be easily seen that these technologies are being successfully used in different areas like facial recognition, biometrics, self-driving vehicles, etc. Hence, in this paper, we propose an application, which is a unique combination of computer vision and statistical techniques that can help respective authorities to identify students who are not concentrating in a class, in real-time, or on prerecorded videos.
"The Effects of Body Awareness on Emotional

The study was aimed at verifying the mediated effects of focusing manner in the effects of body awareness on emotional intelligence among college students majoring in dance. In order to achieve the purpose of this study, 191 dance major college students in the S city, K, C, K-do and J-do areas were selected in 2020. The three-step hierarchical regression method of Baron & Kenny(1986) was used to verify the mediated effect of focusing manner in the effect of body awareness on emotional intelligence among dance major college students. In addition, the significance verification of the parameter effects was verified by the Sobel test, and the results from this study were as follows: Body awareness of dance major college students was found to have a direct impact on focusing manner, and focusing manner had a direct impact on emotional intelligence. And in the relationship between body awareness and emotional intelligence, the focusing mmanner has been shown to play a mediating role. The results of this study suggested the need to improve the level of body awareness and focusing manner in order to raise the level of emotional intelligence among dance major college students.
ORGANIZATION OF SELF-ASSESSMENT OF STUDENTS WITH SEN IN INCLUSIVE EDUCATION BASED ON THE SMART PRINCIPLE (FOR EXAMPLE, MATHEMATICS LESSONS IN PRIMARY SCHOOL)

This article presents the technology for organizing self-assessment in inclusive education in primary school. Authors consider self-assessment as a holistic process in which achievement of educational goals is realistic if based on the principle of SMART. The authors of the article pay special attention to the fact that the purpose of assessment activity is to control students' performance and to form adequate self-esteem in them, which is greatly influenced by the teacher.At the same time, self-assessment should contribute to a change in the relationship between all participants in the educational process, making it more open, since the self-esteem skills of a younger student make it possible to independently set goals and objectives, establish causes of difficulties, and carry out work to correct mistakes.
Web development architectural design and its components

Intergroup and terms of inter collaborations have arisen from the exponential development of e-commerce and production systems. Orthodox software products seem unable in able to keep pace only with the entropy development of the new ERP system platform. A web framework (WF) or web application framework (WAF) is an engineering platform that assists developers in the building of interactive services such as internet applications, browser plugins, and web APIs. Social networks are a mandatory document for developing and implementing internet software. Network architectures seek to minimize the downtime involved with traditional digital marketing practices. Many design patterns, for starters, offer repositories including memory management, encapsulation protocols, and security configuration, and they also encourage development time. While they are often used to create unique postings, there often are useful to web blogs.
군집분석 및 반응표면분석법을 활용한 반도체 공정 수율향상에 관한 연구

Purpose: This study aims to conduct a systematic literature review to suitably identify wide and specific issues and topics on service quality in supply chain.Methods: This study is to investigate service quality in supply chain research using a systematic literature review methodology. In order to extract influential journals and papers, we used the SJR impact factor provided by the SCOPUS database. The collected 169 papers were analyzed using bibliometric analysis, citation analysis as well as keywords network.Results: We conducted a bibliometric analysis to identify top authors contributing to service quality in supply chain and their issues, and further examined important keywords and new emerging keywords. In addition, we extracted five influential papers by PageRank to clarify critical issues and divided into five clusters to identify topics of service quality in supply chain by using network-based approach. In order to examine comprehensive issues and topics of service quality in supply chain, we constructed a keyword network to observe difference in the classification of important keywords across network centrality measures.Conclusion: Our study reviewed literature on service quality in supply chain and explored the future directions and trends of service quality in supply chain.
A Study on Validation of an Instrument to Measure Citizenship for Pre-service Elementary Teachers

본 연구는 초등학교 예비교사가 갖춰야 할 시민성 구성요인을 탐색해보고 예비교사의 시민성 측정도구를 개발하여 타당화하는데 목적이 있다. 이를 위해 예비교사를 위한 시민성 측정도구에 포함될 하위구인들을 밝히고 예비교사의 시민성에 관한 문헌연구와 전문가 의견을 수렴하여 글로벌 시민성, 디지털 시민성, 학교 시민성 3개 영역에 대한 초기문항을 개발하였다. 그리고 신뢰도 분석을 통해 확정한 25개 문항에 대한 탐색적 요인분석으로 5요인을 추출해냈다. 이 과정에서 일부 요인의 문항내용이 미세하게 조정되었다. 이후 확인적 요인분석을 통해 예비교사의 시민성이 크게 연대, 비판, 실천, 공유, 참여로 구분된다는 선행연구를 근거로 고차 요인구조의 적합여부를 판단하였다. 그 결과 1요인 고차요인 모형의 측정문항이 5개 하위요인에서 안정적인 신뢰성을 나타내고 있음을 확인하였다. 이에 개발된 예비교사의 시민성 측정도구는 예비교사에게 꼭 필요한 교직역량에 관한 5개의 하위요인을 적절히 반영하고 있으며, 문항내용의 타당성이 잘 설명되었다고 볼 수 있었다. 결론적으로 본 예비교사를 위한 시민성 측정도구는 학생 시민(student citizen)의 위상과 역할이 주목받는 현시점에서 그 수준을 탐색할 수 있는 시험적 검사도구가 될 것으로 기대되었다. 또한 앞으로 예비교사의 시민성 역량을 강화하는 프로그램으로 시행하거나 개발할 때 유용한 기초정보를 제공해줄 것으로 기대되었다.The purpose of this study is to explore the elements of citizenship that elementary school pre-service teachers should have, and to develop and validate a pre-service teacher s citizenship measurement tool. To this end, we have identified sub-jobs to be included in the citizenship measurement tool for prospective teachers. In addition, by collecting literature research and expert opinions on citizenship of pre-service teachers, initial questions were developed in three areas: global citizenship, digital citizenship, and school citizenship. And 5 factors were extracted through exploratory factor analysis for 25 items confirmed through reliability analysis. In this process, the item content of some factors was finely adjusted. After that, through a confirmatory factor analysis, the suitability of the higher-order factor structure was judged based on previous studies that the citizenship of pre-service teachers was largely divided into solidarity, criticism, practice, sharing, and participation. As a result, the measurement items of the 1-factor high-order factor model showed stable reliability in 5 sub-factors. The developed tool for measuring citizenship of pre-service teachers appropriately reflects the five sub-factors related to teaching competency, which is essential for pre-service teachers, and it can be seen that the validity of the content of the item has been explained. In conclusion, this tool for measuring citizenship for pre-service teachers was expected to be a test tool to explore the level of student citizens at the present time, where the status and role of student citizens are attracting attention. In addition, it is expected to provide useful basic information when implementing or developing a program that strengthens the citizenship competency of prospective teachers in the future.
MAVROVO EARTHQUAKE, EXPERIENCE AND DYNAMIC STRUCTURAL RESPONSE

Aseismic design of structures in seismic prone regions is a complex process consisting of structural system definition, selection of foundation depth and type, definition of external impacts -both, gravitational and seismic, proper detailing and definition of stability and vulnerability level.Stability of a structure is controlled by the structural dynamic response under real seismic loads.In the period from 11.11.2020 to 12.11.2020 in the immediate vicinity of the national park "Mavrovo", a series of earthquakes occurred, which were felt by the local population.The main shock occurred on 11.11.2020 at 04:54 local time, with a moment magnitude MW = 5.0, and was followed by a series of aftershocks with a local magnitude in the range of 1.5 to 4.9.As a result of the seismic activity in this period, the instruments, which are part of the strong motion network in Republic of North Macedonia were activated.Strong motion data were recorded at fourteen different locations of instruments installed on bedrock.In the affected region, ground floor wooden structures are prevailing and therefore the damages due to the earthquake were very light.In this paper, comprehensive investigations regarding recorded time histories and different structural types are presented.Three structures of different geometry, structural system, different number of stories subjected to real accelerograms from Mavrovo earthquake have been analysed.Comparison and comments in respect to the results are made.Finally, based on the analysis results, a recommendation of the most appropriate time histories records from Mavrovo earthquake for specific types of structures have been defined.
Proposed Strategic Framework for Effective Artificial Intelligence Adoption in UAE

Artificial Intelligence is a significant technology that boosts the daily activities of social and economic life. The current study suggested a strategic framework for effective artificial adoption which is a requirement for successful business outcomes. This study is exploratory because of the contemporary phenomenon. The two types of artificial intelligence explored in this study are weak artificial intelligence and strong artificial intelligence. Artificial intelligence is not only restricted to science- fiction. The impact of Artificial Intelligence can be witnessed in the daily life routine while using voice-powered smart gadgets, for example, SIRI or Google Assistant helps to track or manage the information while using the gadgets. Artificial Intelligence has proved its significance around the globe by proving its impact on the social, educational, personal, professional, national, international, and political levels.
Access and use of information and communication technologies by the farmers: A case study of Punjab

Information and communication technology (ICT) is an emerging way of disseminating farm information. The present study was conducted to evaluate accessibility and usage pattern of ICTs among members of progressive farmers association. Data were collected from randomly selected 120 respondents with the help of structured interview schedule. All the respondents owned mobile phones and internet connections. Study revealed that WhatsApp was most preferably adopted ICT and accessed by 93.40 per cent respondents followed by use of YouTube (7 6.16%), Facebook (59.16%) and PAU farmer portal (29.17%) for acquiring farm information. ICT tools helped the respondents accessing information regarding availability of inputs, crop production, quality of inputs and marketing of produce. Each respondent were usually found to receive 94 WhatsApp messages, linked to 356 farmers through Facebook and farmers’ mean usage time for ICTs was also calculated. Age and farming experience of the respondents found to be negatively correlated to the ICT use, however education of the respondents exhibited significantly positive correlation. Study suggests strengthening of ICT based extension services and foster competency skills of stakeholders and extension personnel in use of ICT tools.
Language, Vision and Action are Better Together

Human knowledge and use of language is inextricably connected to perception, action and the organization of the brain, yet natural language processing is still dominated by text! More research involving language-including speech-in the context of other modalities and environments is needed, and there has never been a better time to do it. Without ever invoking the worn-out, overblown phrase ”how babies learn” in the talk, I’ll cover three of my team’s efforts involving language, vision and action. First: our work on speech-image representation learning and retrieval, where we demonstrate settings in which directly encoding speech outperforms the hard-to-beat strategy of using automatic speech recognition and strong text encoders. Second: two models for text-to-image generation: a multi-stage model which exploits user-guidance in the form of mouse traces and a single-stage one which uses cross-modal contrastive losses. Third: Room-across-Room, a multilingual dataset for vision-and-language navigation, for which we collected spoken navigation instructions, high-quality text transcriptions, and fine-grained alignments between words and pixels in high-definition 360-degree panoramas. I’ll wrap up with some thoughts on how work on computational language grounding more broadly presents new opportunities to enhance and advance our scientific understanding of language and its fundamental role in human intelligence.
Source Language Interference ofSpeaking Skill for English Education Department Students

Employing a qualitative research design, this study aims toinvestigate the source language interference in terms of its typealong with its factors in students' speaking skill. The participantsincluded 34 sixth semester students of English EducationDepartment who were determined through purposeful sampling.The data collection process included the participants‟ responsesduring the dialogue activity and their answers of three openendedquestions that focused on their experiences regarding withspeaking skill in target language. The data were analyzed bypreparing the data, reading and understanding the data, codingand classifying the data, interpret its meaning and finally drawconclusion. The findings indicated the occurrence ofinterference appears in all language components includingphonetic, grammatical, lexical, and semantic. This study alsoreveals that role fulfillment of teacher, language learner‟sparticipation, language social environment, target languagevocabulary, and language system gap trigger source languageinterference when students deliver their ideas. In the light ofthese findings, the study offers several suggestions for teacher,students, and future research in related field.
Perancangan Bahan Ajar Digital Untuk Mata Pelajaran Komputer Akuntansi di SMK Negeri 1 Tanjungpinang

Since the issues of Ministry of Education and Culture’s Circular Letter Number 4 of 2020 concerning Implementation of Education Policies in the Emergency of the Spread of Corona Virus Disease (Covid-19) in March 2020, which was later strengthened by General Secretary’s Circular Letter Number 15 of 2020 concerning Guidelines for Implementing Learning from Home during the Spread of Corona Virus Disease (Covid-19), schools and campuses have begun to close and carry out the teaching and learning process from their respective homes. Online learning is a learning system without face-to-face directly between teachers and students, but online using the internet network (Asmuni, 2020).The sudden change in the learning system from offline to online certainly makes most teachers need to prepare learning media in the form of digital teaching materials, no exception for the 11th grade computerized accounting subject’s teacher in Vocational High School Number 1 Tanjungpinang. Through this community service program, it is hoped that it can help the teacher in enriching digital teaching materials to support online learning. Digital teaching materials use qualitative data sourced from primary data. Primary data is obtained through interviews with the teacher. Not only through interview techniques, data collection also through content analysis techniques to compare the suitability of outputs with basic competencies prevailing in schools.The design of digital teaching materials was carried out from October to December 2020 resulting in two outputs, modules and videos. Module contains questions for transactions during one accounting cycle, each for service and trading companies. The video is in the form of a tutorial video for solving the module questions that have been made. Recommendations for the next person in designing teaching material is it can provide even more variations, not just modules and videos, and also expand the sources for reference in designing digital teaching material.
Career-oriented training of students within multi-ethnic groups at pedagogical university: a new vision of the individualized education

The phenomenon of multiethnic groups is becoming an urgent issue at the university level. An increased number of mixed groups of learners from different cultures highlights the lack of appropriate methods and means of planning the educational process and requires developing a newer scientific understanding of the education individualization as a strategy for training specialists at the pedagogical university. This paper deals with the theoretical foundations of the individualization in students training in the multiethnic group. The authors have set the objectives of studying the passport of the current national project «Education» by the Russian government; of analyzing the theoretical foundations of multicultural education; of developing some new principles which are to complete the author's concept of individualization of professional training of students at the pedagogical university; of describing the culture maps as a means of individualization of education within multiethnic groups. The authors come to the conclusion that even general understanding of students’ culture-specific behaviours in the educational environment, made into the culture map for each individual multiethnic university group of the university,can help to promote mutual understanding between the subjects of the educational process, which is a factor of the outer individualization. Besides, it can help students accurately understand the professional goals of their training at a Russian pedagogical university, and motivate students to develop an active social attitudes, which is a factor of the inner individualization of training. The authors emphasise the important role of the culture-specific factors in the process of individualization of professional training of students in the multiethnic group of a pedagogical university. The results obtained in the paper can be used in education in order to increase the attractiveness and competitiveness of the Russian universities in the international education industry.