Reviewerly/exHarmony huggingface dataset:
The Impact of Firm’s Innovation-Oriented Culture and Dependency on Industry-University Cooperation and Industry-University Cooperation Commitment

Purpose The purpose of this study is to analyze the effect of a firm’s innovation-oriented culture and dependence on firm performance through Industry-University cooperation commitment. Design/Methodology/Approach Based on the literature on interorganizational relationships and organizational culture;the relationship between a firm’s dependence;innovation-oriented culture;Industry-University cooperation;Industry-University cooperation commitment and performance was established as 7 hypotheses;and a conceptual research model was created. The data required for the research model were collected through a survey of Daedeok Innopolis firms. Data from 107 firms under the Industry-University cooperation were used to test the research model;and partial least square was used for data analysis. Findings It was found that the dependence of a firm has a positive effect on Industry-University cooperation and Industry-University cooperation commitment. Moreover;the innovation-oriented culture of firms has a positive effect on Industry-University cooperation and Industry-University cooperation commitment. In addition;it was confirmed that Industry-University cooperation significantly affects the Industry-University cooperation commitment. Furthermore;Industry-University cooperation and Industry-University cooperation commitment significantly affect firm performance. Research Implications This study contributed academically in that it empirically revealed the structural relationship between a firm’s dependence;innovation-oriented culture;Industry-University cooperation;cooperation commitment and performance. In addition;these research results provide meaningful implications for promoting industry-university cooperation.
The Influence of Parents Socio-Economic Status to Learning Achievement Through Learning Motivation of High School Students In Kuantan Tengah Subdistrict

The aim of this study was to analyze the influence of parents’ socio-economic status on learning achievement through learning motivation of high school student at Subdistrict Kuantan Tengah. The population in this study was all high school students majoring in Social Science with the total of 426 students. Meanwhile, the total sample of this study was 206 students. The data were collected by using questionnaires. After that, the data were analyzed by using quantitative descriptive and path analysis. The results showed that the variables of parents’ socio-economic status had a significant influcence on learning achievement (directly), and it had a significant influence learning achievement through learning motivation (not directly) of high school students at Subdistrict Kuantan Tengah.
What Research Tells Us: Single Texts

Chapter 4 delves into research comparing reading single printed texts versus digital versions. The beginning section considers what we know about using digital books with young children for different purposes: social interaction, linguistic or cognitive development, or engagement. Most of the chapter focuses on research with school-age readers. The discussion is organized around four issues. First, what kind of measures were used? Variables include user perception studies versus experiments, type of experimental questions, and speed. Second, does the length or genre of the text affect results? Third, what is the role of technology, including digital paging versus scrolling, along with adaptive text display? And fourth, how much are experimental results explained by the mindset (metacognition) we bring to reading in print versus digitally? Among the considerations are students’ ability to correctly predict success when reading in the two media (calibration) and motivation for reading.
RESEARCH PROCESSES OF TRANSITION TO U-LEARNING IN THE SPHERE OF EDUCATION

O. Shirokova 1, M. Tumanova 2 1Moscow State University of Civil Engineering (MGSU) (RUSSIAN FEDERATION) 2K.G. Razumovsky Moscow State University of Technologies and Management (RUSSIAN FEDERATION)
Improving Engineering Students’ Ability in Writing Descriptive Text Using GBA

Writing is one of the English skills needed by engineering students to express their knowledge and skill relating to their major. Based on the researcher’s teaching experience, students still have low ability in writing. In this research, the researcher made an effort to improve their descriptive writing text in an engineering context. The aim was to increase their ability to make descriptive text using Genre Based Approach. The research was carried out in the Road and Bridge Planning Study Program in the Civil Engineering Department of a Polytechnic in Indonesia. The sample included the students of the study program. The design of the research was the Pre Test-Post Test Design. The result shows that the students’ writing ability can be increased by applying the GBA teaching procedure with adjustment to their major and level of English capability. This strategy can be used as an alternative to improve students’ ability to make descriptive texts in an engineering context.
Naive Automated Machine Learning -- A Late Baseline for AutoML

Automated Machine Learning (AutoML) is the problem of automatically finding the pipeline with the best generalization performance on some given dataset. AutoML has received enormous attention in the last decade and has been addressed with sophisticated black-box optimization techniques such as Bayesian Optimization, Grammar-Based Genetic Algorithms, and tree search algorithms. In contrast to those approaches, we present Naive AutoML, a very simple solution to AutoML that exploits important meta-knowledge about machine learning problems and makes simplifying, yet, effective assumptions to quickly come to high-quality solutions. While Naive AutoML can be considered a baseline for the highly sophisticated black-box solvers, we empirically show that those solvers are not able to outperform Naive AutoML; sometimes the contrary is true. On the other hand, Naive AutoML comes with strong advantages such as interpretability and flexibility and poses a strong challenge to current tools.
"A Review of Museum Education Programs for History Related Extracurricular Activities[Public History] - Focusing on one-day field study at the Daegu Museum of Education -"

This study has started from two interests: an interest in museums where educate public history, and an interest in whether educational programs by public institutions with a big budget are operated appropriately for the educational purpose. One-day field study of the Daegu Museum of Education (hereinafter referred to as “field study”) targets elementary and middle school students. The field study is required to ensure high quality of education and publicness. It is because the field study is linked to extracurricular activities at schools with annually about 10,000 student participants and a large scale of investment in budget and manpower. In order to confirm the educational effectiveness of the field trip, this study has researched the actual operation and analyzed problems of the filed study from 2018 to 2019 by focusing on the operation plan review and satisfaction survey result. As a result, the following problems have been confirmed. First, the field trip seems to be lack of sufficient consideration in the process of targeting participants and designing the program. Second, the program content may be inadequate to meet the education goals and themes. The program composition can be insufficient for the intended subject. Third, the linkage with school education seems not to be properly maintained. In order to improve these aspects, the followings are proposed: First, it is suggested to readjust the education target of the field trip. Considering the exhibition contents and curriculum in the museum, it would be more appropriate to range in the participant between the sixth grade of elementary school and the third grade of middle school. Second, the contents and composition of the museum program should be reorganized to fully utilize the exhibition materials and to strengthen hands-on experience. In other words, students should be given more chances to involve themselves in research activities of the museum exhibition and to learn from the direct engagement. Third, it is also required to strengthen the linkage with extracurricular activities at schools. There should be proper interaction between the museum and schools so as to develop both pre-activities and review session at school. Based on the above, this study would propose a new alternative program in order for the Daegu Museum of Education to secure its identity as a public museum and to attain the purpose of student education.
MOBILE TECHNOLOGY IN HIGHER EDUCATION: A THEMATIC LITERATURE REVIEW

The use of mobile technology for learning purposes has become an essential component of any higher education studies. Mobile devices complement the more traditional learning and teaching methodologies, and its usage has grown exponentially as a result of the covid19 pandemic. However, the predominance of mobile-assisted learning practices has also been subjected to intense public debate and opposition from students and parents. In this regard, there is a need for clarity and an integrated holistic understanding of the contribution of mobile technologies on the learning process in higher education as evidenced by empirical research. More specifically, the study aims to conduct a thematic review on the investigated effects/characteristics of mobile technology-assisted learning in the higher education domain drawing on research published in the last 20 years in journals indexed in the education categories of ISI Web of Science. Given the large number of published articles, an automated thematic content analysis was conducted. The findings of the literature revealed several relevant advantages of using mobile technologies related to an enhanced learning process (e.g. higher student motivation, involvement, autonomous learning, satisfaction with the teaching method) and improved student competencies and skills (e.g. collaboration, teamwork, communication). The paper also discusses practical implications for higher education institutions and lecturers.
Interest estimation method based on 2D pose features on security camera

This paper proposes a customer interest estimation method using security camera to meet the demand of the retail industry. In the field of retail industry, it is considered that the understanding of customers’ interests in the real store can be used for various marketing activities such as the product development and the layout of the store. Then, it is important to pay attention to customers’ behavior in the real store. Their behavior is often recorded by the cameras installed in the store for security purposes. A method for estimating their interests from the videos of the security camera is presented in this paper. The novelty of our method is three-fold. Firstly, the experimental data of subjects in our group were taken by using the security camera already installed in the real store. Secondly, we used a pre-trained posture estimation model and treated the results as the features to be trained by a two-layer neural network model. Finally, a professional have annotated the subjects’ interests. The effectiveness of our method was confirmed by comparing with benchmark supervised machine learning models.
Application of K-Means Cluster and Principal Component Analysis to Determine the Level of Priority for Acute Respiratory Infection (ARI)

This research is aimed to determine the priority levels of acute respiratory infection (ARI) vulnerability for subdistricts within Kupang district, East Nusa Tenggara Province, based on the main determining factor of ARI vulnerability. This research utilized the principal component analysis method and K-Means cluster analysis. The research enabled to determine five priority levels of ARI vulnerability and the identify districts referring to these priority levels and the main determinants of vulnerability to insecurity of acute respiratory infections (ARI) typical for each priority level.
Blockchain and Telecoms

How will blockchain technology impact telecoms policy and regulation? This short paper looks at the possible adoption of blockchain technology in the telecoms sector, both by industry and by regulators, and considers what impact this might have on the regulatory framework. It is published in IIC InterMedia Magazine, January 2019, Volume 46 Issue 04.
PEMANFAATAN METODE ELIMINATION AND CHOISE EXPRESSING REALITY (ELECTRE) PADA PENERIMA PROGRAM INDONESIA PINTAR TINGKAT SEKOLAH DASAR

The Smart Indonesia program is a refinement of the Poor Student Assistance program which is given in cash to school-age children (aged 6-21 years). In determining the priority of PIP recipients itself is still carried out subjectively. The purpose of this study is to design and build a decision support application that can make it easier for schools to determine the priorities of potential PIP recipients. In this study using the Waterfall method because the final result of the study is a product in the form of decision support software for determining potential PIP recipients. While the method used in decision support making is the method of Elimination and Choise Expressing Reality (Electre). The Electre method is a multi-criteria decision-making method based on each appropriate criterion. The criteria used are: Active Status of Students, Orphans , Parents 'Work, Parents' Income, Number of Dependents who are still in school, Persons with Disabilities, KIP Holders, KKS Holders, PKH holders, SKTM holders, victims of natural disasters. From the results of alpha testing using the Black Box Testing technique and beta testing, functionally the system built has been successful, acceptable, can produce output as expected and is good enough to meet eligibility for use Keywords: PIP; Electre Method; Decision Support System; Waterfall method .
ELECTRONIC EDUCATIONAL MODULE FOR THE BASICS OF METROLOGY

The Department of Technology and Information Technologies of the Pedagogical Faculty of UKF in Nitra prepares students for the measurement of various quantities within the bachelor's study. Students should learn the basics of working with various measuring instruments, master the process of measuring selected quantities and evaluate the measurement results. This knowledge is part of the subject Basics of Metrology. In order for the measurement of quantities to be carried out by the correct procedures and in accordance with the legislation, thorough preparation of students for the measurement is necessary. This training is usually carried out using instructions prepared by teachers and students' self-study. However, there is not always enough literature and relevant technical standards available to students. For this reason, we decided to use an e-learning course to prepare students. Our decision was further accelerated by the coronavirus pandemic, which "left" students at home and studying online. The course has actually become a necessity. In this article, we compare the study results of 45 students in the subject Basics of Metrology who were educated by an e-learning course with the results of students who were educated in full-time form. Although the course does not yet have a final form, the results show that there is no significant difference between these groups in their evaluation at the end of the semester.
Dual Online Stein Variational Inference for Control and Dynamics

Model predictive control (MPC) schemes have a proven track record for delivering aggressive and robust performance in many challenging control tasks, coping with nonlinear system dynamics, constraints, and observational noise. Despite their success, these methods often rely on simple control distributions, which can limit their performance in highly uncertain and complex environments. MPC frameworks must be able to accommodate changing distributions over system parameters, based on the most recent measurements. In this paper, we devise an implicit variational inference algorithm able to estimate distributions over model parameters and control inputs on-the-fly. The method incorporates Stein Variational gradient descent to approximate the target distributions as a collection of particles, and performs updates based on a Bayesian formulation. This enables the approximation of complex multi-modal posterior distributions, typically occurring in challenging and realistic robot navigation tasks. We demonstrate our approach on both simulated and real-world experiments requiring real-time execution in the face of dynamically changing environments.
Piloting the surge: Streaming Video and Academic Libraries

Chicago State University’s Gwendolyn Brooks Library decision to trial and acquire Kanopy, A Patro-Driven-Acquisition video streaming service, was completely a patron-demand-driven undertaking. The decision to obtain this service was led by faculty interest in the resource and ranged from the initial inquiry for a trial by a foreign language faculty member to its PDA model, which has allowed faculty to select the films purchased. The article discusses the acquisition process, set-up steps for making the trial and then the resource available to the CSU community, and the steps taken to promote the resource.
TECHCLASS DIGITAL ACADEMY AS AN ULTIMATE SOLUTION TO THE SHORTAGE OF SKILLED LABOR IN THE IT SECTOR

There is a need to be concerned about the availability of skilled labor in Finland. Already, before the COVID-19 pandemic, the shortage of skilled labor became a severe obstacle to companies' growth and a pillar of Finland's economic growth. The skills requirements of working life are changing at an ever-accelerating pace. Digitization and the rapid development of technology are changing the content of all work. Continuous, lifelong learning is strengthened as the norm of working life. Without diverse opportunities and motivation for continuous competence development, there is a threat of falling into the competence gap.For over five years, TechClass directly supported IT students from university students and non-university students to equip them with the necessary skills and knowledge aligned with the IT industry requirements. TechClass helped them pursue their careers in the IT industry and received excellent feedback and satisfaction percentages from the students. So far, delivering our services was limited to offering individual courses to the degree students as part of their degree programme, or online courses via our university partners' Open University Programmes.The knowledge achieved, together with promising results, gave us confidence and helped us design more in-depth expertise material. Now our training package educates, informs, and inspires. As a result, students receive full guidance and support to prepare for various IT roles and professions.In this paper, we are going to discuss in more detail our plan for TechClass Digital Academy.
SIMULATION OF TEMPORAL AND KINEMATIC MOVEMENT OF AR PASUA PA PERFORMANCE

AR PASUA PA (Augmented Reality Papua-Sunda-Aceh Performance Arts) presents a show using an application of augmented reality real time synchronization in the creation of performing arts 4.0. AR PASUA PA describes the cycle of human life starting from the Sunrise until the Sunset. AR PASUA PA as one of the strategies in order to preserve cultural arts heritage, especially performing arts from Papua, Sunda, and Aceh. AR PASUA PA development is an effort in order to conserve, reconstruct, and revitalize performing arts by utilizing augmented reality technology. AR PASUA PA provides opportunities for the development of performing arts 4.0 during the Covid-19 pandemic. The simulation of temporal and kinematic movement of a performance is one way to understand the movements of the Karwar dance (Papua), the Cikeruhan dance (Sundanese) and the Guel dance (Aceh). This research applied qualitative methods with simulation techniques and virtual motion analysis. The results of this study describe the temporal and kinematic movement of the AR PASUA PA performance. The understanding of dance movements was done virtually by studying the position and time derivative of the performance, as well as the movement simulations performed by the hands, feet and body of the dancers, both solo and in groups. Keywords : Simulation, Kinematic, Augmented Reality
Android-Base m-Voting Application Development With Simple Additive Weighting Method

This research arranged to build a m-voting android-based application and started the registration by input student's data.The students can use m-voting as a tool to vote one of the student governor candidates on the election executive governor based on their conscience in the campus.The vote count will be processed by simple additive weighting (SAW).Its criterias are vision, mission, leadership skill, experience, and attitude.The output will show the result from the voting process who is the student governor that has been chosen and the total of voters who have already accessed.Researchers using PIECES development system method to ensure the system has a good performance.
PEMODELAN PARAMETRIK KURVA PERTUMBUHAN EPIDEMI COVID-19 DI INDONESIA

The purpose of this study is to carry out parametric modeling of the COVID-19 epidemic growth curve so that the maximum value of the cumulative COVID-19 case and the time when it reaches that maximum point can be obtained. The data used in this study is the cumulative number of COVID-19 positive confirmed cases originating from www.covid19.go.id. The method used in this study is fitting data with the Logistic and Gompertz models. The results obtained from this study are (1) the Logistic and Gompertz mod-els are very fit in modeling the COVID-19 epidemic growth curve, indicated from the value of R2 (coefficient of determination) which reaches more than 99%, (2) From the Logistics model it is obtained that the estimated amount of the maximum cumulative case at the end of the COVID-19 epidemic is 7,714 positive confirmed cases, achieved in about 82 days (22 May 2020) from 2 March 2020 when the first positive COVID-19 case was announced by the Government. (3) From the Gompertz model, it is ob-tained that the estimated maximum cumulative case at the end of the COVID-19 epidemic is 33,975 positive confirmed cases, achieved in about 152 days (30 July 2020) from 2 March 2020 when the first positive COVID-19 case was announced by the Government. From this finding, the results of this study can be used as input to the Government to take steps in controlling the spread of COVID-19
Tracing Information Flow from Open Quantum Systems in Integrated Waveguides

Quantum simulation is one of the core areas in the development of quantum technologies. Among the various simulation platforms, integrated waveguides have proven to be a powerful and versatile tool. One important aspect of quantum simulation is the analysis of open quantum systems. In most practical applications it is in fact essential to understand and control the dynamics between the quantum system and its environment. Typical effects of interest for example involve decoherence or memory effects, which lead to non-Markovian behavior. In this work we establish integrated waveguides as a tool for the simulation of open quantum systems. Using polarization as well as a photon's path degree of freedom, we implement the coupling of a qubit with a low dimensional discrete environment. Based on a measure of non-Markovianity, we define and quantify specific types of information and information transfer between system and environment. Experimentally we implement and verify non-Markovian evolution in an optical waveguide array and analyze types of information flow between system and environment realizable through integrated photonics.