Reviewerly/exHarmony huggingface dataset:
The Learning Outcomes of Industry Expert Collaborative Teaching and Enterprise Visits on Students in Business Schools of Universities of Technology in Taiwan

Abstract Technological and vocational education has developed in Taiwan for over 60 years and played a crucial role in cultivating talents for infrastructure construction and driving industries and economic growth there. Universities and colleges across Taiwan have introduced resources from various industries and adopted the two-teacher system to strengthen their practical teaching in recent years. To be specific, these schools hire experts in various industries for collaborative teaching and encourage enterprise visits, thereby presenting more opportunities for students to get involved in experiential learning. This study explored the learning outcomes of industry expert collaborative teaching and enterprise visits on students studying in business schools of universities of technology in Taiwan. Moreover, policies announced by the Ministry of Education in Taiwan were introduced and analyzed. Finally, the specific suggestions proposed in this study can be served as a reference to industries, the government, universities, and institutions in their effort to innovate teaching methods and improve teaching quality. JEL classification numbers: A22, D83. Keywords: Technological and vocational education, Industry expert collaborative teaching, Enterprise visits, Learning outcomes.
Effect of Miner Incentive on the Confirmation Time of Bitcoin Transactions

Blockchain is a technology that provides a distributed ledger that stores previous records while maintaining consistency and security. Bitcoin is the first and largest decentralized electronic cryptographic system that uses blockchain technology. It faces a challenge in making all the nodes synchronize and have the same overall view with the cost of scalability and performance. In addition, with miners' financial interest playing a significant role in choosing transactions from the backlog, small fee or small fee per byte value transactions will exhibit more delays. To study the issues related to the system's performance, we developed an $M(t)/M^N/1$ model. The backlog's arrival follows an inhomogeneous Poison process to the system that has infinite buffer capacity, and the service time is distributed exponentially, which removes $N$ transactions at time. Besides validating the model with measurement data, we have used the model to study the reward distribution when miners take transaction selection strategies like fee per byte, fee-based, and FIFO. The analysis shows that smaller fee transactions exhibit higher waiting times, even with increasing the block size. Moreover, the miner transaction selection strategy impacts the final gain.
Evaluating the Use of a Contextual Information Extraction Technique to Identify Mineralized Zones in a Semi-Arid Environment from Aster Satellite Data

Identification of regions of mineralization by traditional techniques where spectral information of pixel alone is applied during classification, either at pixel or sub-pixel level, is usually accompanied by some level of un-satisfaction. Impulse noises that are usually experienced in digital images from sudden sharp disturbances in the signal degrade the output. This effect often referred to as the salt and pepper noise could further cause information loss, and change the colour of an RGB image. The use of filters (median and morphological) has not totally eliminated the effects. Object-based methods came in with higher filter smoothers to make it better yet, there is potential limitation because of possible negative impact of under segmentation. The errors of under-segmentation cannot be adjusted within a unit of features, which apparently affect the potential accuracy of the entire classification. Thus, this study evaluates the contribution of the contextual information to reduce the effects of noise in the data for effective mineral identification. Rule-based technique was applied for information extraction from a threshold values derived from band ratio (BR) transformation operations on ASTER data. The result indicates clay has the highest mineral density of 47% in the study area, with silicate having the least (3%), among others. This study provides a robust test for contextual cues as anticipated to be most effective and shall contribute towards reducing environmental impacts and protecting biodiversity which is one of the major aspects of sustainable development in relation to mining and mineral processing
Quality of Experience Experimentation Prediction Framework through Programmable Network Management

Quality of experience (QoE) metrics can be used to assess user perception and satisfaction in data services applications delivered over the Internet. End-to-end metrics are formed because QoE is dependent on both the users’ perception and the service used. Traditionally, network optimization has focused on improving network properties such as the quality of service (QoS). In this paper we examine adaptive streaming over a software-defined network environment. We aimed to evaluate and study the media streams, aspects affecting the stream, and the network. This was undertaken to eventually reach a stage of analysing the network’s features and their direct relationship with the perceived QoE. We then use machine learning to build a prediction model based on subjective user experiments. This will help to eliminate future physical experiments and automate the process of predicting QoE.
Teacher’s Strategies in Teaching Speaking to Students Third Grade at SMAN 1 Taliwang

Speaking instruction is a major concern in many language programs, and instructional strategy cannot be used to influence learning outcomes. In terms of teaching speaking strategies, it is paradoxical that the majority of students in third grade were unable to speak English. This study aims to determine the strategies used by teachers at SMAN 1 Taliwang in teaching speaking skills. This thesis used a qualitative descriptive method. The subjects of this study were two English teachers at SMAN 1 Taliwang. Data were collected by observing and interviewing teachers. Then, the data analysis procedures in this study include data compaction, data presentation, and drawing conclusions. The results of this study there are three types of strategies used by teachers, namely cognitive strategies, metacognitive strategies, and social strategies. The cognitive strategies used by the teacher’s consist of memorizing and drilling. Which are included the metacognitive strategies that the teacher uses are questions, outdoor learning, pre-evaluation, and giving stimulus. Included in the social strategies used by teachers are peer-to-peer, presentations and assignments, dialogues, and discussions and presentations.
Parental Knowledge and Attitudes when Managing their Child's Ametropia with Optical Correction

Introduction: Ametropias are represented by all situations where the optical system of the eye does not allow the image of an object to be focused on the retina. Material and Methods:This was a prospective observational study of the descriptive type carried out at the application centre of the postgraduate diploma in ophthalmology.The aim of the survey was to map parents' perceptions of their children's optical correction of ametropia.Results: Out of a total of 4987 consultations, 402 met our inclusion criteria, i.e. a frequency of 8.06%.The average age of the respondents was 41.38 ± 11.09 years with extremes of 17 and 75 years.Most (52.74%) of the parents were female, civil servants (29.60%) and married (74.13%).More than half (61.94%) of the parents were unhappy with the diagnosis and the high cost (50.98%)was the reason given.The parents' attitude was unfavourable following their children's diagnosis.Most parents advised (54.84%) or forced (25.80%) the child to accept glasses. Conclusion:Ametropias are frequent pathologies in ophthalmological consultations.An information strategy for parents must be carried out in order to change their attitude.
Internet Usage by Young Kids in India

ndia is one of the countries with the highest number of kids under the age of 18 years. This paper adds value in understanding the usage in the current covid scenario. The research objectives for the current study are to examine how young kids in India use their time on internet for varied purposes, to study how young kids find the websites that are of interest to them and to examine how young kids obtain information about sensitive issues. A cross-sectional web survey was conducted to examine the various aspects of the use of the Internet and traditional media (television/radio/magazines/newspapers/billboards) among kids in India. Data was collected through a structured questionnaire. The sampling method used in the study was purposive sample (522 kids). Internet emerged as the first choice of media for kids for all the nine selected activities that include homework, shopping, restaurant/food-ordering, travel and tour, information search, health related information, weather forecast, entertainment, and news/current events. Girl respondents as compared to boys have consumed Internet at a higher rate for learning about the fashion (trends) and health related issues such as seeking preventative health care and specific information about medical issues.
Strategic Leadership Practices and Sustainable Performance of Private Primary Schools in Turbo Sub County, Uasin Gishu County, Kenya

Purpose: This study sought to establish the influence of strategic leadership practices on sustainable performance of private primary schools in Turbo Sub County, Kenya. The study specifically aimed at establishing the influence of Strategic direction practices, human capital development practices, ethical leadership practices and Strategic communication practices on sustainable performance private primary schools in Turbo Sub County. The study was guided by the following theories; System Theory, Human Capital Theory, Path Goal Leadership Theory and Communication Theory.&#x0D; Methodology: This study used descriptive survey research design. The target population comprised of 93 private primary schools in Turbo Sub County, Uasin Gishu County. The unit of observation was both head teachers and senior teachers. All head teachers and one senior teacher from each primary school were targeted in the study making a total of 186 respondents. Research instruments used in this study was questionnaires. Descriptive and inferential statistics were used to analyse the data with the aid of the Statistical Package for Social Sciences (SPSS) version 26. Descriptive statistics included percentages, frequencies, mean and standard deviation. Inferential statistics comprising of correlations and regression were applied in assessing the relationship between the study variables.&#x0D; Findings: The study established that Strategic direction practices, Human Capital Development Practices, Ethical Leadership Practices and Strategic Communication bears a positive and significant influence on sustainable performance of private primary schools in Turbo Sub County, Kenya. This is shown by respective beta values of 0.296, 0.534, 0.628 and 0.335 and respective significant values of 0.003, 0, 0 and 0.&#x0D; Unique contribution to theory, practice and policy: The findings led to conclusions that Strategic direction practices, Human Capital Development Practices, Ethical Leadership Practices and Strategic Communication influences sustainable performance of private primary schools in Turbo Sub County to positive and significant level. The study recommended the management of private primary schools in the Sub County to enhance practices surrounding Strategic direction, Human Capital Development, Ethical Leadership and Communication since the practices results into improved sustainable performances.
Attitudes of Directors towards Governance Practices in Government Institutions and Companies in Jordan

This research paper aimed to examine the attitudes of directors towards governance practices in government institutions and companies in Jordan. The investigated governance practices included the following pillars: legal and institutional frameworks, strategy and performance management frameworks, human capital management frameworks, resource management frameworks and operational management frameworks. The examined pillars of governance practices were measured by developing and distributing a 5-point scale questionnaire to directors who are responsible for institutional development in government institutions and companies listed in the Budgets Law of Government Units for the fiscal year 2019, the number of which was 57 government institutions and companies. The response rate was 79%. The results of one-sample t-test indicate that the attitudes of directors towards governance practices and related pillars are well above the average level. Results of correlation test indicate that there are statistically significant correlations between the five pillars of governance practices at the 0.01 significance level. The research concluded that governance practices include adherence to specifications and compliance with frameworks, guidelines and standards, thus improving the quality of service delivery and at the same time improving the use of resources, which enhances people's trust in government institutions and companies.
Multiple Criteria Decision Analysis in HDMI Splitter Selection Using Complex Proportional Assessment Method

High-Definition Multimedia Interface (HDMI) technology is used for devices such as HDTVs, Projectors, and DVD players. One HDMI cable can only connect one device, even though, when needed, one computer or laptop can be displayed on several televisions or projectors using HDMI Splitter. HDMI Splitter is an accessory that displays content on multiple screens. HDMI Splitter has been circulated with various brands that offer different capabilities and specifications. Therefore, Therefore, thorough consideration is needed in choosing the right HDMI Splitter. This study aims to build a decision support system with the Multiple Criteria Decision Analysis (MCDA) approach using Complex Proportional Assessment (COPRAS). The COPRAS method solves the selection problem by calculating the utility level of alternatives, which shows the extent to which an alternative is better or worse than other alternatives through a comparison process. Based on existing studies, the utility values of each alternative were obtained, namely: Robot HDMI Splitter producing a value of 53.73%, Vention HDMI Splitter producing a value of 65.63%, Bafo HDMI Splitter producing a value of 97.13, and PX HDMI Splitter producing a value of 100%. Hence, based on testing through the black box, the best alternative is PX HDMI Splitter.
Impact of Information Sharing on Supply Chain Performance with Mediation of Trust

This paper investigates the impact of information sharing with suppliers on supply chain performance while mediating the effect of trust. In this descriptive study, quantitative research will involve a questionnaire as a research instrument with boundary-spanning managers involved in sharing information with suppliers. Multiple research papers in different industries are used to see the impact of information sharing. In this study, information sharing with suppliers is integral in improving supply chain performance, impacting the overall business performance. Trust as a mediating factor improves sharing of information, but it will not directly influence the enhancement of supply chain performance. The findings will help managers understand and evaluate the importance of information sharing with a supplier and its effect on supply chain performance and enable them to make better decisions that enhance supply chain performance. The study is conducted in a specified time frame which bound the research to a particular period. Geographical boundaries also limit the study as it determines the impact of the research on the pharmaceutical industry of Pakistan, located in Karachi. Organizations need to develop a system that promotes information sharing by investing in technologies that support exchanging information between partners. Building trust and forming collaborative ties will ensure progression in the results of the supply chain network.
Environment-Adaptive Object Detection Framework for Autonomous Mobile Robots

Object detection is an essential function for mobile robots, allowing them to carry out missions efficiently. In recent years, various deep learning models based on convolutional neural networks have achieved good performance in object detection. However, in cases in which robots have to carry out missions in a particular environment, utilizing a model that has been trained without considering the environment in which robots must conduct their tasks degrades their object detection performance, leading to failed missions. This poor model accuracy occurs because of the class imbalance problem, in which the occurrence frequencies of the object classes in the training dataset are significantly different. In this study, we propose a systematic solution that can solve the class imbalance problem by training multiple object detection models and using these models effectively for robots that move through various environments to carry out missions. Moreover, we show through experiments that the proposed multi-model-based object detection framework with environment-context awareness can effectively overcome the class imbalance problem. As a result of the experiment, CPU usage decreased by 45.49% and latency decreased by more than 60%, while object detection accuracy increased by 6.6% on average.
Nonparametric Estimators of Bivariate Distributions from Incomplete Samples and their Applications

A model of random censoring of bivariate observations and problem of estimating the survival function are considered. We propose estimators of exponential, product, and power types, and suggest its properties. These estimators are used to estimate mixtures of distributions and parameters of the Marshall–Olkin distribution.
Assessment of the Impact of School Inspections to Students’ Academic Performance in Primary Schools: The Case of Mvomero District

The purpose of this study was to assess the impact of school inspection on students’ academic performance in primary schools in Mvomero District. The study used mixed research approach. The sample size of this study was 179 respondents that include 122 ordinary teachers, 1district educational officer, 10 district inspectors, 13 assistant district primary school educational officers, 8 ward educational officers and 25 head teachers. Questionnaires were used to collect information from ordinary teachers, interview was used to collect information from the primary school head teachers, ward education officers, district primary school education officers and the district school inspection officers. Observation was used by the researcher in the field to collect information by observing. Quantitative data were analyzed by using descriptive statistics while qualitative data were analyzed through content analysis. The study found that inspecting of teaching and learning documents, students’ notes and marked exercises, students’ academic records, and providing feedback after inspection for improvements are used in assessing the process of school inspection in primary schools. The results further show that impacts of primary school inspection include improvement of academic performance of students, increase teachers’ accountability to their work of teaching, improve teacher-student academic relations, solve problems of teacher-students relation, and enhance proper use of teaching and learning resources.
THE FUTURE OF DISTANCE LEARNING IN HIGHER EDUCATION: A SOCIOLOGICAL ANALYSIS OF THE VIEWS OF THE EDUCATIONAL PROCESS SUBJECTS

The article examines the problems of distance learning development in higher education, as well as the prospects of introducing new distance learning technologies in Russian universities. The methodology used was content analysis of public speeches of rectors of leading Russian universities, secondary analysis of sociological research data and our own sociological research conducted by survey method.
DIALOGUE AS THE BASIS OF EDUCATION AND SOCIETY: TURNING TO THE LEGACY OF MARTIN BUBER

Well-known in the last century, philosopher, thinker, outstanding representative of existentialism and educator Martin Buber left a rich heritage: the evolution of the philosophy of dialogue and a new perception of a person, his education, the role of a teacher in the formation of a person’s character, personality in the period of searching for new values, spiritual foundations and guidelines in conditions complex modern social reality, the need for dialogue to comprehend the complex reality and search for opportunities for an adequate understanding of the present and future. The article discusses the role of lifelong education and the teacher in times of social, political and other changes. The article discusses Buber's dialogue philosophy of education, which remains invariably relevant for all spheres of society, and aims to teach students to be people, intellectuals, to understand their personal presence as a unique reality that interacts with society.
EFFECT OF FILLER NANO TITANIUM DIOXIDE (TiO2) PARTICLES ON FLEXURAL STRENGTH OF NYLON THERMOPLASTIC DENTURE BASE

Background: Treatment of missing teeth can be done by using dentures. One of the denture base materials is thermoplastic nylon. The advantage of thermoplastic nylon are flexible and deformable. Various attempts have been made to maximize the quality of the denture, for example, by adding TiO 2 . TiO 2 can be used as a filler. Filler is the process of adding TiO 2 to the denture base. The advantages of TiO 2 particles are non-toxic, antimicrobial, and increasing the mechanical strength of denture bases.TiO 2 can reduce the porosity of the denture. Method: the design study is a post test only control group with a total of 27 samples. Flexural test was performed using the UTM GD 1100. The statistical test used by the One Way Anova test. Result: The results showed that there were no significant effect on the flexural strength of thermoplastic nylon with the addition of 1% and 5% TiO 2 with the control group. The highest flexural strength was obtained in the treatment group of TiO 2 1 %, which was an average of 133.3867 N/mm 2 and the lowest flexural strength was obtained in the control group without the addition of TiO 2 , which was an average of 127.57378 N/mm 2 . The lowest flexural strength was found in the control group without the addition of TiO 2 , which was an average of 127.57378 N/mm 2 . Conclusion: There were no significant effect on the flexural strength of thermoplastic nylon with 1% and 5% TiO 2 added with the control group.