Reviewerly/exHarmony huggingface dataset:
Analyze of the Effects of Pre-Service Technology Teachers Flipped-Learning Lesson on the Self-Directed Learning, Learning Motivation, and Lesson Satisfaction

본 연구의 목적은 예비기술교사를 대상으로 한 문제풀이 중심의 강의식 교과목 수업에서 플립드러닝 수업을 병행하였을 때, 플립드러닝 수업 전과 수업 후의 자기주도학습, 학습 동기 및 수업 만족도에 미치는 영향을 분석하여 플립드러닝에 대한 시사점을 고찰하고자 하는 것이다. 25매의 설문지는 통계프로그램(SPSS 22)으로 분석하였으며, 이 연구를 종합한 결론은 다음과 같다. 첫째, 수업 전에 비대면으로 동영상을 시청하고, 대면 수업에서는 개인별로 문제 풀이와 모둠 토의를 실시하고, 미흡한 부분을 교수자가 보충 설명하는 플립드러닝 수업 전과 수업 후의 자기주도학습에 유의미한 차이를 보였다. 둘째, 플립드러닝 수업 전과 수업 후의 학습 동기는 유의미한 차이를 보였다. 이는 수업 중에 문제 풀이가 있다는 것을 인식하고 있으므로 수업 전에 동영상을 시청할 때 집중하는 경향을 보여 학습 동기에 영향을 끼친 것으로 사료된다. 셋째, 플립드러닝을 활용한 수업 만족도 분석 결과, 전체적으로 유의미한 차이를 보였다. 수업 만족도에서 가장 차이가 있는 문항은 ‘수업 전에 동영상 시청이 플립드러닝 수업에 도움이 됨’이며, 평균은 3.48에서 4.16으로 크게 향상되었다. 또한 ‘나는 수업 시간 및 그 외 시간에 친구들과 상의할 수 있어 좋았음’문항 평균은 3.36에서 3.96로 향상되어 플립드러닝 수업 만족도가 향상되었음을 보여준다. 본 연구 결과를 종합하면, 동영상을 시청한 뒤에 수업 시간에 문제 풀이, 토론 및 보충학습을 하는 플립드러닝 수업은 자기주도학습에 도움이 되었고, 학습동기를 부여했으며 수업 만족도를 향상시켰다. 그러나, 교과목에 따라 플립드러닝 수업은 기존의 수업 외에 추가적으로 동영상을 시청해야 하는 부담이 있으므로 수업 전체를 플립드러닝으로 진행하는 것보다는 단기간에 활용하는 방법이 좋다고 사료된다.The purpose of this study is to consider the implications of flipped learning by analyzing the effects on self-directed learning, learning motivation, and lesson satisfaction before and after lesson in flipped learning lessons for pre-service technology teachers with flipped learning is combined with lecture-type lessons. The 25 questionnaires are analyzed by a statistical program(SPSS ver.22), and the conclusions of this study are as follows. First, after watching the video before lesson, self-directed problem solving and group learning during lesson, the flipped learning lesson shows a significant difference in self-directed learning before and after lesson. Second, there is a significant difference in learning motivation before and after of the flipped learning lesson. This affects pre-service technology teachers’learning motivation to focus more on watching the video before lesson because they know there is a test in lesson. Third, as a result of the satisfaction analysis of lessons using flipped learning, there is a significant difference overall. The items with the most difference in satisfaction are ‘watching videos before lesson is helpful for flipped learning lesson’, and ‘I liked being able to discuss with my friends during lesson time and other times’. Summarizing the results of this study, the flipped learning: problem test, discussion, and supplementary learning after watching the video improves lesson satisfaction as well as giving motivation for learning and also enhances the quality of self-directed learning. It is considered that it is better to use in a short period of time rather than conducting the entire lesson through flipped learning.
Seq2CASE: Weakly Supervised Sequence to Commentary Aspect Score Estimation for Recommendation

Online users’ feedback has numerous text comments to enrich the review quality on mainstream platforms, such as Yelp and Google Maps. Reading through numerous review comments to speculate the important aspects is tedious and time-consuming. Apparently, there is a huge gap between the numerous commentary text and the crucial aspects for users’ preferences. In this study, we proposed a weakly supervised framework called Sequence to Commentary Aspect Score Estimation (Seq2CASE) to estimate the vital aspect scores from the review comments, since the ground truth of the aspect score is seldom available. The aspect score estimation from Seq2CASE is close to the actual aspect scoring; precisely, the average Mean Absolute Error (MAE) is less than 0.4 for a 5-point grading scale. The performance of Seq2CASE is comparable to or even better than the state-of-the-art supervised approaches in recommendation tasks. We expect this work to be a stepping stone that can inspire more unsupervised studies working on this important but relatively underexploited research.
Social and Techno-Economic Feasibility Study for The Implementation of An Educational Services Center in The Dominican Republic: Perspectives from A Comprehensive Methodology

This research work presents a comprehensive methodology based on a social, technical, and economic evaluation study of a proposal educational services center in the Dominican Republic. For this purpose, a social survey, a technical assessment and an economic were considereded and integrated with a multi-objective optimization analysis for the best decision making. The obtained results revealed that 98% of the respondents agreed with the implementation of the center, and the technical study determined that an initial investment of $ 31,200 USD is required. Moreover, the economic feasibility assessment indicated that an average bank loan percentage of 5.72 Â± 0.28% was the value where the initial investment is required, and the net present value are optimized. Also, the internal rate of the return value was 41.15%, the value of the payback period was 2.92 years, and the rate of investment and profitability index values were 63.18% and 1.62, respectively, which indicated that the project is highly viable since long-term economic benefits are obtained. Therefore, the comprehensive methodology presented in this work represents a valuable procedure for the best decision-making since it considers a holistic approach. Finally, this methodology can be used for its implementation in various frameworks as a plan for different investment projects in the educational, social, and health sectors in the Dominican Republic, and the obtained results demonstrated the acceptance and feasibility of the project within a local context for its integration and proliferation in the economic development of the country.
Imbalanced Open Set Domain Adaptation via Moving-Threshold Estimation and Gradual Alignment

Multimedia applications are often associated with cross-domain knowledge transfer, where Unsupervised Domain Adaptation (UDA) can be used to reduce the domain shifts. Open Set Domain Adaptation (OSDA) aims to transfer knowledge from a well-labeled source domain to an unlabeled target domain under the assumption that the target domain contains unknown classes. Existing OSDA methods consistently lay stress on the covariate shift, ignoring the potential label shift problem. The performance of OSDA methods degrades drastically under intra-domain class imbalance and inter-domain label shift. However, little attention has been paid to this issue in the community. In this paper, the Imbalanced Open Set Domain Adaptation (IOSDA) is explored where the covariate shift, label shift and category mismatch exist simultaneously. To alleviate the negative effects raised by label shift in OSDA, we propose Open-set Moving-threshold Estimation and Gradual Alignment (OMEGA) - a novel architecture that improves existing OSDA methods on class-imbalanced data. Specifically, a novel unknown-aware target clustering scheme is proposed to form tight clusters in the target domain to reduce the negative effects of label shift and intra-domain class imbalance. Furthermore, moving-threshold estimation is designed to generate specific thresholds for each target sample rather than using one for all. Extensive experiments on IOSDA, OSDA and OPDA benchmarks demonstrate that our method could significantly outperform existing state-of-the-arts.
Unlocking the potential of smart learning: exploring the impact of students' technological factors on remote access

Purpose The primary objective of this study is to examine how students' technological factors affect remote access (RA) in smart learning (SL) environments. Additionally, the paper explores the moderating effect of students' technical skills (TS) on RA and SL. Design/methodology/approach The study applied a quantitative research approach and collected 125 valid questionnaires from students in Oman's higher education institutions (HEIs). A structural equation model (SEM) was employed for data analysis using the Smart PLS 4 version to examine the influence of technological factors on RA in SL environments. Findings It was found that the use of cloud-based RA in SL is influenced by students' use of technology, technology competitiveness and the availability of institutional software (IS). Moreover, students' TS were found to play a crucial role in moderating RA and SL, as well as technical knowledge (TK) and SL. These findings highlight the importance of technical competencies and software availability in shaping students' RA experiences. Research limitations/implications The study's findings should be interpreted with caution due to the limited sample size, which may restrict the generalizability of the results. Practical implications The study suggests the technological learning capabilities of HEIs, which significantly improved by prioritizing critical technical factors, including knowledge and use of technology, availability of institutional software and RA antecedents in SL environments. Originality/value This paper offers practical and actionable directions for HEIs, universities, colleges and educators looking to incorporate technology into their practices in the dynamic and ever-evolving Fourth Industrial Era.
Benchmarking of SoC-Level Hardware Vulnerabilities: A Complete Walkthrough

Due to the increasing complexity of modern system-on-chips (SoCs) and the diversity of the attack surface, popular SoC verification approaches used in industry and academia for detecting security-critical vulnerabilities confront several challenges. Although novel SoC security verification techniques are being proposed to overcome these challenges, qualitative and quantitative critical comparisons among them are becoming increasingly difficult due to the lack of suitable, well-validated SoC-level hardware vulnerability benchmarks that can be used to evaluate the efficacy of these security verification techniques/tools on a level playing field. In this paper, we offer a comprehensive database of SoC vulnerabilities, with a particular emphasis on emerging hardware threats that may be exploited from the software layer by attackers to violate the security requirements of the system. In this regard, 32 register transfer level (RTL) hardware vulnerability benchmarks based on three distinct RISC-V-based ISA implementations have been established and made open-source to stimulate standardized research efforts in the community. In addition, we provide a comprehensive taxonomy of the benchmarks, complete with security implications and classifications. We also offer a discussion on exploitation strategies that attackers may employ, a set of security properties associated with each vulnerability in order to detect them formally, and the difficulties encountered by typical security verification methods when attempting to detect them.
Your First Job

After you have gathered enough information about web development, it is time to search for your first job. How exactly do you reach that point? What steps can you take to improve your chances of getting a job, and therefore, start your career in the IT industry?
SQL Basics

SQL is one of the most important languages when it comes to finding a job. I have had multiple jobs where my day-to-day work involved writing complex SQL scripts. So learning SQL means acquiring one of those skills that takes time to master, but opens a large number of doors.
Introduction

Welcome to your journey into the world of web development! Since you picked up this book, you must have some interest in the domain. That means that you most likely have what it takes to take your first steps in the fascinating world of programming. This chapter starts with an exploration of what web development is, how it works, and how you can be a part of it.
Evaluation of the Effects of Pyramid Model Training on the Attitudes and Practices of Early Childhood Educators

There is growing evidence of the effectiveness of the pyramid model (PM) in promoting young children’s social-emotional competence and reducing challenging behaviours. In the province of Quebec (Canada), as in many other regions, many children with special needs are integrated into early childhood settings where educators have not had specific training in managing challenging behaviours. The current project’s objective was to evaluate, using a mixed-methods design, the effects of a two-day training session in PM practices provided to 33 educators working in inclusive early childhood settings in the province of Quebec. Before the session, educators had reported that inclusion is beneficial for the child but not for the early childhood educator, demonstrating a need for more training and resources to be provided to early childhood educators. Following the session, their perceptions of the usefulness and social validity of the training in PM were positive, and their implementation of PM practices significantly increased. Their perceptions of how inclusion affected them also became more positive; however, no differences were found in their overall attitudes when comparing results from pre- to post-test, indicating the need for further support.
ANALISA LIFEBOAT PLACEMENT EFFECTIVENESS TERHADAP PROSES EVAKUASI KAPAL PENUMPANG MENGGUNAKAN METODE AGENT BASED MODELLING SIMULATION

The study of “Lifeboat placement effectiveness” which was applied to the evacuation process of passenger ships should be based on the regulation of IMO MSC.1/Circ.1533. The analysis of the evacuation duration was important considering the high number of fatalities in shipping accidents based on KNKT data, as many as 686 people died in the last 7 years. This study analyzed the duration of evacuation using a simulation method based on “Agent Based Modelling Simulation” with the purpose to obtain a modeling framework to simulate the evacuation process to the lifeboat in 3 dimensions. Simulations were applied to 4 cases with 2 different lifeboat positions. The results of the analysis showed that the total value of the evacuation duration for lifeboats placement on the navigation deck which was placed close to the main stair of the exit route was leading than the placement in the existing position, which as case 1 lead by 1 minute, case 2 lead by 1 minute 2 seconds, case 3 lead by 23 seconds, and case 4 a lead by 17 seconds. The calculation also showed that the total evacuation duration in each case was valued at 60 minutes, which met the IMO MSC.1/Circ.1533 standard.
KINERJA SISTEM PENYAPU TIPE GUTTER BROOMS PADA PROTOTIPE KENDARAAN PENYAPU JALAN

The performance of the gutter brooms sweeping system was studied by conducting an experimental sweeping test. The test is carried out by operating a sweeper system to sweep plastic, paper, and leaf waste. The test results show that at a broom rotation speed of 150,6 rpm, the sweeping of plastic obtained a 100% sweeping success rate with the three settings for the height of the broom, while the sweeping of leaf waste obtained a 100% sweeping success rate at the broom position ± 0 mm touching the road surface and the sweeping of paper waste obtained a 100% sweeping success rate at the broom position ± 15 mm pressing the road surface. The comprehensive system of the gutter brooms type of road sweeper vehicle prototype can show sweeping performance with a 100% success rate, although the success rate of the sweeping is uncertain for different sweeping situations.
FOREIGN LANGUAGE TEACHING IN A DIGITAL ENVIRONMENT: TEACHERS' ATTITUDES AND BELIEFS

Taking into account that traditional foreign language teaching is being moved to a virtual environment, the obligations of teachers are changing constantly. Their main tasks are to accept new technologies and develop their digital literacy. However, whether teachers will apply ICT in teaching practice depends on their personal and pedagogical attitudes and beliefs. When teachers’ attitudes and beliefs are positive, new technologies become one of their important teaching materials. The opposite of this, with negative attitudes and beliefs about applying ICT in teaching, teachers reject them and do not enable students to acquire new skills and knowledge in a virtual environment. In that sense, we wanted to examine the foreign language teachers’ attitudes about the use of ICT digital tools in Serbia. The results are obtained by the inferential analysis which is used to confirm or refute hypothesis about the possible conditioning of the identified factors. The results showed that positive attitudes of teachers have a positive effect on learning in a digital environment, but also that positive attitudes increase significantly with their education for the use of ICT. Finally, it was shown that teachers employed at the university have more negative attitudes about the advantages of language learning in a digital environment, in contrast to teachers employed in primary and secondary schools and in foreign language schools. In support of this, it is observed that training in this field is also necessary for teachers who work at faculties in order to increase awareness of the value of new technologies in the teaching process.
Performance Analysis of Classification and Regression Tree (CART) Algorithm in Classifying Male Fertility Levels with Mobile-Based

Fertility is the ability to produce offspring in a man or the ability of the reproductive organs to work optimally in fertilization. Fertility rates have declined drastically in the last fifty years. Machine Learning is a field devoted to understanding and building learning methods. This study will use machine learning algorithms to classify male fertility levels, namely the Classification and Regression Tree (CART) algorithm and the K-Fold Cross Validation validation method. The fertility dataset used in this study was obtained from the UCI Machine Learning website, with a total of 100 data and the variables used are Age, Childish diseases, Accident or serious trauma, Surgical intervention, High fevers in the last year, Frequency of alcohol consumption, Smoking habit, Number of hours spent sitting per day and Diagnosis. K-Fold Cross Validation can be used together with CART to measure the performance of the CART model on different data, so as to avoid overfitting or underfitting the CART model. Based on the calculation of the CART algorithm and the K-Fold Cross Validation validation method (K = 1 to K = 9), the average accuracy value for training data is 98.70% and the average accuracy value for testing data is 81.16%. The results of this study have proven that the CART algorithm can be used to classify the level of fertility in men well. In addition, the classification model formed can be implemented into a mobile application (android) so that it is easy to use and understand.
A wearable system to track vital signs communicated from the mother to the fetus

BACKGROUND: The monitoring of fetal heart rate (FHR) before intrapartum has been crucial in modern obstetrics. FHR has been used for about 300 years to determine fetal status, leading to the development of monitoring devices to prevent fetal death during gestation. While medical devices like fetal electrocardiograms exist for disease detection, their size and cost limit individual use. OBJECTIVE: To address cardiovascular issues during pregnancy, a mobile system is developed to display heart rates and blood pressure on mobile devices. The system is generated from a medical device with Bluetooth communication, supplementing traditional monitoring. METHOD: The study focuses on creating a mobile system that connects to mobile operating systems, enhancing treatment, diagnosis, and patient monitoring. The mobile system displays cardiovascular data obtained from the medical device. RESULTS: The results are expected to have an immediate impact on cases where abnormal measurement parameters of the monitoring system occur during pregnancy. The use of mobile systems or applications on smartphones is seen as beneficial in distributing processing and census of embedded health systems. CONCLUSION: The study highlights the potential benefits of mobile systems in distributing processing for health systems, particularly in addressing cardiovascular problems during pregnancy. The creation of a mobile system for displaying cardiovascular data could significantly improve monitoring and early detection.
A Novel Integral Transform :INEM - Transform

In this paper, we present a novel transform namely INEM – Transform , involving a lot of potential new or known transform basic characteristics of the new transform were examined in this work as special cases., authors first derived the INEM – transform of basic mathematical functions ,theorem of linearity ,theorem of derivatives and the definition of inverse formula .a novel transformation used to address specific initial value problems of higher order ,some illustrative examples, and use of application in two applications: finding the blood glucose concentration and finding the aortic pressure presented in this work.
Strategi Peningkatan Efektivitas Keputusan Pembelian Konsumen terhadap Produk Ramah Lingkungan Air Mineral “Aqua Life”

Consumer buying decisions are part of consumer behavior, namely the study of how individuals, groups, and organizations choose, buy, use, and how goods, services, ideas or experiences to satisfy their needs and desires. Purchasing decisions, namely consumers have a choice before taking action in buying an item or service. In other words, consumers who will make a choice must make a choice from various alternatives. This study aims to determine and analyze the effect of price, environmentally friendly marketing, and environmental awareness on purchasing decisions in the bottled drinking water industry, namely aqua life mineral water. The population in this study were all consumers who had purchased Aqua Life mineral water products. The data obtained were primary data. This sampling method is atechnique non-probabilty sampling and obtains a sample of 106 respondents. This type of research is quantitative using descriptive statistical methods. The analysis in this study uses theSmartPLS 3.0 program to analyze and test the data. Based on the results of the research conducted, the conclusions obtained are that price, environmentally friendly marketing and environmental awareness have a significant effect on purchasing decisions. The results of this study support research that has been carried out by previous researchers
Watching

Watching Andrew Lansdown (bio) I am watching, watching my fatherwalking … It catches me by surprise to see him totter into open spacewhere no handhold can steady or save him. He is like a man traversing a tightropefor the first time—and the last, should he fall. He is so absorbed in the exercisehe does not notice my absorption. I am taut as a rope stretched to breaking—any moment I might whip out to catch him. And all the while I am watching him,his walking-frame stands nearby, aghast. [End Page 122] Andrew Lansdown Andrew Lansdown is a widely published and award-winning Australian writer whose works include three novels, two short story collections, two children's poetry collections, two photography-and-poetry collections, and fifteen poetry collections. His most recent books are Kyoto Momiji Tanka: Poems and Photographs of Japan in Autumn (Rhiza Press, Queensland, 2019) and Abundance: New and Selected Poems (Cascade Books, Oregon, 2020). His website is www.andrewlansdown.com. Copyright © 2022 Wayne State University Press