Reviewerly/exHarmony huggingface dataset:
Examining the Relationship between SMEs Organizational Factors and Employee Creativity

Organizations with proper Human Resource (HR) practices play an exemplary role in developing their employees’ innovation. Though there is extensive literature on managing organizational innovation, even in today’s scenario some organizations barricade employees’ growth and innovation at the workplace. This study aimed to holistically explore the organizational factors affecting employee innovation using Principal Component Analysis (PCA) for factorizing sub-items and understand the relationship between various organizational factors and employee innovation using correlation analysis. The study executed a survey questionnaire and collected useful data from two hundred and fifty (250) respondents of various Saudi SME companies. The study developed sub-items and evolved into nine major organizational factors influencing employee innovation namely corporate structure, corporate culture and environment, organization strategy, innovation, employee, technology, resources, knowledge management, and management support. The hypotheses developed were tested with the collected data. The study found all the factors except corporate strategy and corporate culture and environment demonstrated a significant positive relation with employee innovation. The study recommended that any firm must focus on these factors to encourage employee innovation leading to overall organizational success. It also provides broad implications to HR managers, firm policymakers and top management to reassess and formulate the best organizational strategies to promote a culture of innovation in the organization.
Team Phoenix at WASSA 2021: Emotion Analysis on News Stories with Pre-Trained Language Models

Emotion is fundamental to humanity. The ability to perceive, understand and respond to social interactions in a human-like manner is one of the most desired capabilities in artificial agents, particularly in social-media bots. Over the past few years, computational understanding and detection of emotional aspects in language have been vital in advancing human-computer interaction. The WASSA Shared Task 2021 released a dataset of news-stories across two tracks, Track-1 for Empathy and Distress Prediction and Track-2 for Multi-Dimension Emotion prediction at the essay-level. We describe our system entry for the WASSA 2021 Shared Task (for both Track-1 and Track-2), where we leveraged the information from Pre-trained language models for Track-specific Tasks. Our proposed models achieved an Average Pearson Score of 0.417 and a Macro-F1 Score of 0.502 in Track 1 and Track 2, respectively. In the Shared Task leaderboard, we secured 4th rank in Track 1 and 2nd rank in Track 2.
Thoughts on the Digital Reading Service of University Libraries in the “Internet+” Era

Reading is the main route to impart scientific and cultural knowledge. It is not only related to personal growth, but also closely related to the construction of our society and the prosperity of the nation. University libraries must take on this important responsibility and strengthen the promotion of reading. In the "Internet+" era, university libraries need to focus on how to keep up with the development of the times and provide better digital reading services for teachers and students. The author studies and analyzes the main characteristics of digital reading in university libraries, and proposes the service strategy of digital reading for university libraries in the "Internet+" era, hoping to help with the university libraries playing their roles.
평생교육 관점에서 생애사 쓰기교육 - 칠곡군교육문화회관 평생교육 사례를 중심으로 -

This study focuses on the role of a life history writing class, which was offered as part of a lifelong education program; in doing so, it attempts to explore the meaning of writing about oneself in old age. To this end, one of the adult learners who participated in the adult writing class at the Chilgok Education and Culture Center was used as a primary example to analyze the writing experience and its meaning.During the class, we focused on autobiographical writing as a practice of self-care, and adjusted the direction of instruction through continuous interaction with participants. The participants were asked to write about their mothers, since it was agreed that writing about one’s mother is essential to understanding oneself.By analyzing the writing process, the outcome, and the post-interview, this study first presented the practical meaning of writing, special attention was paid to writing as a process of constructing meaning, the regressive process of writing, and making books. Secondly, we focused on the meaning of the term “mother” and the practice of self-care, which was revealed in the self-care writing session. Finally, we examined the meaning of writing life history as a healing practice.The implications of the role of interactions between participants in the autobiographical writing program for adult learners and the meaningful other (specifically the “mother”), which were revealed during these interactions, are expected to be used to design a life history writing program for adults.
Penerapan Algoritma K-Means Dalam Mengelompokkan Rata-Rata Konsumsi Kalori Menurut Provinsi

Calories are a source of energy that we get from food intake that contains nutrients and as a basic human need for humans to survive. The number of people who consume excessive calories and do not pay attention to the amount of calorie intake that is consumed will result in the emergence of various diseases that are bad for health. In this case the government does not have information about the data on the average calorie consumption per province by province. The purpose of this study is to determine the highest and lowest clusters, for that the authors use Data Mining with the K-Means Algorithm to classify Average Calorie Consumption per day by province. This test is carried out using RapidMiner software. The results were obtained from the average grouping of calorie consumption grouped by two clusters: high and low clusters, high clusters of 13 provinces and low clusters of 21 provinces. Provinces that are classified as low clusters are expected to be a contribution for the Indonesian government for decision making in an effort to maintain a balanced consumption of calories per day and create a healthy lifestyle program in the future.
Pratiche di mediazione non professionale degli studenti stranieri immigrati di prima o seconda generazione nel sistema scolastico italiano

The study investigates the extent and characteristics of the phenomenon of Child Language Brokering (CLB) in the Italian school system, namely the linguistic mediation of foreign students for their relatives and the institutions of the host country. A questionnaire administrated to 347 students of 36 nationalities of two secondary high schools of Perugia, detected the characteristics of CLB, foreign students’ attitude towards their language and culture of origin and those of the host country, and their relationship with the mediation practices. After an introduction and an overview of the literature on CLB, paragraphs 3 and 4 describe the materials and methods used and the results obtained. Finally, conclusions concern the enhancement of CLB in an inclusive perspective.
Impact of Temperature, Rainfall and Clearness Index on Global Solar Radiation at Nepalgunj in Nepal

This paper reports the first experimental results on global solar irradiance measured at the horizontal surface since 2017 using calibrated Pyranometer-2 at Nepalgunj (Lat.28.05°N, Lon.81.62°E) which is about 150m from the sea level. This paper explains the impact of temperature, rainfall and clearness Index on the intensity of global solar irradiation. The annual average measured value of GSR 16.02 MJ/m2/day which is sufficient to promote solar active and passive solar energy technology at Nepalgunj and other similar geographic allocations. The results of this research can be utilized for the conformation of variation of solar radiation with meteorological parameters and can be used for location of similar meteorological and geographical sites where solar data are not available.
Individual risk profiling for portable devices using a neural network to process the cognitive reactions and the emotional responses to a multivariate situational risk assessment

In this paper, we are presenting a novel method and system for neuropsychological performance testing that can establish a link between cognition and emotion. It comprises a portable device used to interact with a cloud service which stores user information under username and is logged into by the user through the portable device; the user information is directly captured through the device and is processed by artificial neural network; and this tridimensional information comprises user cognitive reactions, user emotional responses and user chronometrics. The multivariate situational risk assessment is used to evaluate the performance of the subject by capturing the 3 dimensions of each reaction to a series of 30 dichotomous questions describing various situations of daily life and challenging the user's knowledge, values, ethics, and principles. In industrial application, the timing of this assessment will depend on the user's need to obtain a service from a provider such as opening a bank account, getting a mortgage or an insurance policy, authenticating clearance at work or securing online payments.
The Effect of Latency on High Precision Micro Instructions in Mobile AR

The effectiveness of AR superimposed instructions with video see-through displays has been extensively explored due to the widespread availability of suitable handheld devices such as smartphones. However, looking through a camera lens in such devices affects users’ performance due to distortions in visual representation and hardware capacity. While the former have been studied in detail (distortion of binocular disparity, accommodation/vergence conflict, geometrical distortions), the latter, mainly affected by system latency, has not been explored much. In this work, we present a system to measure the latency and two user studies: one exploring how well users can perceive differences in system latency, and one exploring the effects of latency on completion time and accuracy in following high precision micro AR instructions. The results show that users start to notice the difference in two compared latencies at 69 ms and that latency did not affect the performance (times and accuracy were similar in all conditions). Nevertheless, when ranking the phones with different latencies users preferred the phones of latency values 132 ms or lower. Both results provide a guide for building the best possible human perceivable system for a given task.
Phase-shifting characteristics of refractive index change-based phase-shifting interferometer for optical imaging applications

We present spectral characteristics of the phase shifts in refractive index based phase-shifting interferometer. The conventional mechanical movement method cannot provide the same phase change for different wavelengths, which occurs phase information distortion in the incoherent interferometer. The refractive index-based phase-shifting method can adjust the uniform phase shift over a wide spectral window. Spectral phase-shifting errors of the proposed method were compared with those of the mechanical phase-shift method. The proposed method can be applied to eliminate unwanted phase-shifting errors and to obtain correct phase information of optical tomographic images.
Current Problems Of Modern Digital Education In Russia

The article is devoted to the problems of introduction of digital technologies in education in Russia within the framework of the Bolon process. Along with the advantages of technical means, they create risks: harm to health, opportunistic behavior of students and sometimes educational institutions, formalism, the formation of standardized thinking, the possibility of total control over the learning process, censorship, sensory hunger when replacing live communication with machine communication, technical errors, violation of communication channels due to insufficient quality of technology, deterioration of students ' memory, ability to analyze information and communicate, violation of traditional moral values, etc. There is an emerging gap between levels of education: cheaper e-education at the bachelor's level is being created for "ordinary" people, but the normal sphere of education remains for the elite. The article analyzes the financing of the education system and related indicators – the average age of teachers, material and technical base. It contains proposals for prevention and reduction of risks of using digital technologies and the Bologna process in General in Russian education. To return spirituality to the educational process, it is necessary to turn to traditional culture. You need to increase the number of classroom hours. Getting rid of excessive techno-logization is possible with a return to the achievements of the old education system in Russia (writing skills, oral counting, memory development). It is necessary to deal with excessive formalization. The methods used are economic and statistical analysis.
ANALYSIS of VULNERABILITY and SPATIO-TEMPORAL DISTRIBUTION TOWARD the SEVERITY LEVEL of COVID-19 in BENGKULU, INDONESIA

The pandemic caused by Covid-19 has had a huge effect in various parts of the world The global situation of COVID-19 as of January 20th, 2021 were 99 864 391 cases with a death rate of 2 2% with 183 countries infected by local transmission The COVID-19 situation in Indonesia as of January 27th, 2021 were 1 024 298 cases with a death rate of 2 8%, occurred within 182 regions by local transmission Bengkulu Province is one of the areas experiencing local transmission of Covid-19 since March 31st, 2020 and this condition continues to develop This study aimed to determine the regional vulnerability and temporal distribution of Covid-19 in Bengkulu There were 956 confirmed cases of Covid-19 within the period of July-October 2020 The overlay results between clustering analysis and population density were gathered by using the Kernel Density Estimation method and ArcGIS software version 10 3 The area that has a high risk of contracting the Covid-19 disease is Bengkulu City The use of technology-based information systems is indispensable in the digital era, including spatio-temporal analysis, disease and health mapping, geographic dimensions which can be the basis for decision making in an area
Decision tree-based estimation of the overlap of two probability distributions

A new nonparametric approach, based on a decision tree algorithm, is proposed to calculate the overlap between two probability distributions. The devised framework is described analytically and numerically. The convergence of the estimated overlap to the true value is proved along with some experimental results.
Pengaruh Kemampuan Akademik, Persepsi Profesi Akuntan Publik, Pertimbangan Pasar Kerja Dan Penerapan Ajaran Tri Nga Terhadap Minat Mahasiswa Akuntansi Memilih Karier Sebagai Akuntan Publik

This study aims to examine whether academic ability, perceptions of the public accounting profession, labor market considerations and application of Tri Nga affect the interest of accounting students in choosing careers as public accountants. This research uses a quantitative descriptive method with primary data using a questionnaire. This study took a sample of 140 accounting students from 3 universities in Yogyakarta, i.e. Sarjanawiyata Tamansiswa University, Sanata Dharma University and Indonesian Islamic University. The sampling technique used purposive sampling. Data collection was carried out by distributing questionnaires via google form. The number of questionnaires processed was 140 questionnaires. Data processing was performed using multiple linear regression analysis. The results of this study indicate that perceptions of the public accounting profession and labor market considerations have a positive effect on the interest of accounting students in choosing careers as public accountants, while academic ability and application of Tri Nga have no effect on the interest of accounting students in choosing careers as public accountants.&#x0D; &#x0D; Keyword : Academic Ability; Public Accountant Professional Perceptions; Labor Market Considerations; Application of Tri Nga; Student Interest
지방공무원의 인재육성을 위한 교육프로그램의 적절성에 관한 연구: 강원도 지방공무원을 중심으로

(Purpose) This study aims to evaluate the adequacy of education program for human resource development(HRD) of local public officials in Gangwon-do. In particular, this study aims to analyze a leadership education programs which was conducted for grade 6th and 7th officials by the Human Resource Development Center of Gangwon-do. (Design/methodology/approach) This study was analyzed the adequacy of HRD program through variables such as HRD program contents, HRD program application, education facility and environment, lecture and etc. This study conducted an email-based survey of 223 local public officials in Gangwon-do and used statistical methods including frequency analysis, correlation analysis and multiple regression analysis.(Findings) The correlation between variables constituting the research model was very high in the positive direction. And the relationship between all other variables except education facility and environment was statistically significant(p<0.01). In particular, the correlation coefficient of HRD program contents was very high(β=.577, p=.000).(Research implications or Originality) In order to maximize the effectiveness of education program for HRD of local public officials, continuous attention and innovation on various factors such as contents, applications, facility and environment, and lecture etc are needed. And to raise the adequacy of education programs for HRD of local public officials, policy considerations that can strengthen the contents and application related to the HRD programs are important. In particular, in order to cope with the era of the 4th industrial revolution characterized by hyper-connectivity, hyper-intelligence, and convergence, the development and operation of human resource development education programs that can diversify contents and maximize field application should be strengthened.
Domain Adaptation Approaches for Acoustic Modeling

In the recent years, with the development of neural network based models, ASR systems have achieved a tremendous performance increase. However, this performance increase mostly depends on the amount of training data and the computational power. In a low-resource data scenario, publicly available datasets can be utilized to overcome data scarcity. Furthermore, using a pre-trained model and adapting it to the in-domain data can help with computational constraint. In this paper we have leveraged two different publicly available datasets and investigate various acoustic model adaptation approaches. We show that 4% word error rate can be achieved using a very limited in-domain data.
CBI観点からのビジネス日本語教育に関する 一考察 －日韓ドラマ活用による授業実践を中心に－

In this paper, we take case examples of class practice in line with the concept of CBI(Content-Based Instruction), and consider the results and issues, so that it is not just language education for acquiring knowledge and skills but also language education as education. The purpose is to study the class design development of business Japanese language education with a focus on content-based instruction of language education.In order to do that, we conducted a project activity to learn honorific and corporate culture. This is an activity that investigates, announces, and evaluates the business honorifics, interpersonal relationships, manners, and the corporate culture of Japan- Korea, using dramas made in Japanese and Korean languages. By analyzing the results, problems and improvements from the perspective of CBI, we examined the possibility of business Japanese language education.As a result of the survey, problems and points of improvement were also pointed out, but there were many positive opinions and impressions. Through collaborative activities such as research, presentation skills, full use of Japanese language, discussion, PPT preparation, etc., learners can gain many experiences such as a sense of solidarity among members, a sense of accomplishment achieved, and discovery of new knowledge. Therefore, it turned out that there are many possibilities for the project activities for business Japanese language education using Japanese and Korean dramas from the viewpoint of CBI.
Video Activity Recognition for Surveillance Systems

This study presents the use and comparison of various machine learning methods in recognition of activities that are useful for inferring complex events in surveillance videos. In this respect, the study aimed to identify four basic activities for surveillance videos which are Run, Stand, Walk and Instant Move. Activity learning success was tested using Logistic Regression, Decision Trees Regression, Random Forest Classifier, Naive Bayes Classifier, SVM, Linear SVM, KNN and MLP machine learning methods. The methods were applied to different types of activities consisting of the BEHAVE dataset commonly used in surveillance video event recognition literature. The study shows the comparative performance of the machine learning methods used. Experimental results show that classification procedures have been achieved successfully. Although the percentages of performance obtained by the methods are approximately close to each other, SVM method yields the best activity recognition result.
한국어 읽기 텍스트 선정을 위한 텍스트 복잡성의 개념과 요인

The present study explores the issue of appropriate level of text to provide learners reading Korean. Therefore, the present study examines whether “text complexity” that has been researched in native language reading education is applicable as a principle for foreign language education, specifically in Korean reading education. This study focuses on the research findings of existing studies, examining each quantitative factors, qualitative factors, and reader and task factors as suggested by CCSS. Furthermore, this study discusses the aspects that must be considered in Korean language education. While discussions on the level of text have been focused on various concepts such as “readability” and “difficulty” in existing studies, they have not considered the reader and task factor. However, within texts that are presented to Korean language learners, text, reader, and task factors must be considered for an overall evaluation. The present paper shows that text complexity can be established as a theory of Korean reading education.(Yonsei University)
EFL 고등학생들의 영어 학습 재동기 요인: 영어 능력에 따른 차이

The purpose of this study was to investigate the patterns of motivational change and remotivating factors of EFL high school students who showed regaining of motivation from demotivation. It further examined differences in remotivational factors according to the students'' English proficiency level. The participants were asked to check the ups and downs of their English learning motivational histories from elementary to high school, complete a questionnaire, and take part in a follow-up interview. Results of the study showed that the students became most motivated in their elementary school years, while their motivation decreased consistently as time went by and they revealed the lowest motivation in high school years. College entrance exam preparation, improvement in test scores, experiences of success in English learning, and improvement in study skills were major factors remotivating the students. Subsequent qualitative content analyses also supported these quantitative results. Regardless of the students'' level of English proficiency, college entrance exam preparation was the main remotivation factor. Based on the findings, some recommendations are made to support EFL teaching and learning.