Reviewerly/exHarmony huggingface dataset:
Entrepreneurship Education and Health-Stress Analysis of College Teachers and Students Using Backpropagation Neural Network Model

The purpose is to solve the problem of college students' employment difficulties. It is the development trend of the times to master the basic psychological pressure state of students and analyze students' problems by using modern technology and science. First, based on Marxist theory, the theory of entrepreneurship education and the characteristics of teachers and students in colleges are expounded, and the principle and algorithms of Backpropagation Neural Network (BPNN) are introduced. Second, from the perspective of entrepreneurship education and mental health factors of college students, the sample set of the BPNN model is collected using a Questionnaire Survey (QS). Then, the sample set is normalized to analyze the current college entrepreneurship education and the health and stress of college students. The results show that the comprehensive BPNN output of entrepreneurship education is 0.726, indicating that entrepreneurship education in colleges is at a moderate level. The proposed BPNN model can perform better than the traditional prediction methods in predicting college students' mental health, and the data fitting results are satisfactory. Overall, college students' entrepreneurship education should be improved, and schools should take more incentives to help adjust college students' mentality.
Utilization of E-Learning Media the Independence Learning of Elementary School Students

Research with the title Utilization of e-learning media the independence learning of elementary school students. This study aims to determine the relationship between the effectiveness of e-learning learning on the learning independence of elementary school students. This research was conducted in Grade V of elementary school, which consist of school, namely: MI Ahmad Dahlan Cipanas, SD Aisyiyah Islamic Center Cianjur, and SD Islamic Creative Cianjur Indonesia. The research method used in this study is a quantitative descriptive approach with a correlation method. The results showed that the variable utilization of e-learning learning media had a significant effect on the learning independence of elementary school students. Based on the statistical test results, the partial t test shows that the significance value of the effect of learning effectiveness (X1) on independence (Y) is 0.003&lt;0.5 and the value of tcount&gt;ttable=3,089&gt;1,980 then Ho1 is rejected and Ha1 is accepted which is means that there is an influence on the use of e-learning learning media (X1) on students learning independence (Y). And the results of the t-test (partial) show that the significance value has the effect of e-learning (X2) on student learning independence (Y) is 0.000&lt;0.05 and the value of tcount&gt;ttable =7,687&gt;1,980 then Ho2 is rejected and Ha2 is accepted which can be concluded that there is an influence on the use of e-learning learning media (X2) on the learning independence of elementary school students (Y). According to the results of the regression significance test (F-test) which shows that the value of sig. f-test of 0.000&lt;0.05, so that all independent variable consisting of the use of e-learning learning media have a simultaneous effect on the learning independence of elementary school students at MI Ahmad Dahlan students of SD Aisyiyah Islamic Center, and students of SD Islamic Creative Cianjur Indonesia.
OPTIMALIZING THE USE OF GO READING DIGITAL LIBRARY IN INCREASING STUDENT'S READING INTEREST IN ONLINE LEARNING

During the current covid-19 pandemic, students are required to be more independent in learning, especially increasing interest in reading because reading is a gateway to find information. This study aims to increase interest in reading through a digital library application called Go Reading. With Go Reading Students can easily access reading anytime and anywhere, without having to bother carrying piles of books. The research method used is Research and Development. Research and Development was modified by researchers only up to 6 steps. Based on the results of interviews and the distribution of response questionnaires to the use of the Go Reading digital library application to increase reading interest, the results with high criteria indicate that the use of the application can be categorized as optimally increasing students' reading interest. The conclusion is that in optimizing digital libraries, students must be actively involved in increasing their learning independence, and there is awareness in students and the role of parents and teachers in directing, supervising, guiding, and motivating students in optimizing the role of digital libraries in online learning.
Influence of Information Culture on Job Satisfaction of University Registry Personnel in South-West, Nigeria

&#x0D; &#x0D; &#x0D; This study aims to investigate the influence of information culture on job satisfaction. The study adopted survey research design. The population consisted of 2009 registry personnel working in federal, state and private universities in South-West, Nigeria. Stratified random sampling technique was used to select 715 personnel. A validated questionnaire was used for data collection. Response rate was 70%. The data were analysed using descriptive (mean and standard deviation) and inferential statistics (regression). Findings from the study showed that information sharing (β = 0.054; t(497) = 1.227; p &gt; 0.05), information proactiveness (β = -0.006; t(497) = -.132; p &gt; 0.05) and information control (β = 0.027; t(497) = .537; p &gt; 0.05) did not significantly influence job satisfaction. The study concluded that information culture contributed to the level of job satisfaction of university registry personnel in South-West, Nigeria in terms of quick access to relevant information to enhance service delivery and openness in information sharing. Consequently, it was recommended that the university management should improve on institutional information culture practice to enhance the job satisfaction of the university registry personnel.&#x0D; &#x0D; &#x0D;
Potential impact of coastal hazards: Case of Pahang, Malaysia

The National Water Research Institute of Malaysia (NAHRIM) projected that the annual rainfall will increase up to 10% in Kelantan, Terengganu, Pahang and North West Coast by 2050. In Pahang, almost 40% of the total rainfall occurs during the northeast monsoon season annually. Kuantan is the most crucial area in Pahang which is the capital of this State and very popular as a tourism destination. The present study aims to determine the potential impact of natural hazards in the coastal area of Pahang, Malaysia. Cherok Paloh, Taman Gelora, Pantai Sepat and Sungai Penor are highly vulnerable concerning household income and insurance vulnerability. The flooding of agriculturally-substantial areas causes massive damage, for example forestry, fisheries, animal shelters, fertilisers, stock and storage, agricultural tools and types of machinery. The most crucial and vulnerable location is Cherok Paloh because more people are under M40 and B40 groups in that particular region. The majority of the houses are very close to the sea, which indicates the exposure of the Pahang coastal communities to coastal hazards. The present study can be effective for the entire coast of Malaysia and other coastal regions as well.
LEARNING TO WRITE POETRY WITH IMAGINATION SUGGESTION USING NATURAL BEAUTY VIDEO MEDIA TO INCREASE LEARNING OUTCOME OF STUDENTS OF CLASS VIII E UPT SMPN 2

This research is a classroom action research conducted at UPT SMP Negeri 2 Talun. The results showed that the use of natural beauty video media suggestions could improve the poetry writing skills of eighth grade students of UPT SMP Negeri 2 Talun. Product improvement can be seen from the increase in students' poetry writing scores in each cycle. The average ability of students in writing poetry before the action was categorized as less. However, after implementing the action for two cycles, the average ability of students in writing poetry was in the good category. Improving the quality of the product/outcome can be seen from the comparison of the average scores of students' poetry writing in the pre-action to post-action stages of Cycle II. The average score of students in the pre-action stage was 16.53, in Cycle I it increased to 19.95 and in Cycle II it increased again to 22.31. The average score of students' skills has increased by 2.36. Thus, the poetry writing skills of grade VIII E UPT SMP Negeri 2 Talun students have improved both process and product after being given action using natural beauty video media.
Strategies For Teaching Through Technology And Internet In The Pandemic Context

The paper "Strategies for organizing and conducting teaching through technology and the Internet in the context of the COVID-19 pandemic" is based on the size of the application, how to capitalize on the relationship between the context of the COVID-19 pandemic and how to conduct teaching activities through technology and the Internet.The article envisages the connection between quality standards, the legislative, educational and curricular framework, which will facilitate at institutional level the organization and conduct of teaching through technology and the Internet in the context of the COVID-19 pandemic thus streamlining teaching and learning activities in a way as optimal as possible without side effects.In this educational context, teachers depending on the age, individual characteristics of students, but also taking into account the management of the classroom through methods, techniques and tools of digital teaching-learning online influenced the creation and development of digital content, levers effective in improving the educational process.This study considers the effective solutions that teachers have implemented in the teaching act, contributing to the creation of learning communities, to motivate educators for digital collaborative learning, to understand the added value that digital teaching has on the generation net.It also takes into account the concept of positive digital identity and the strategies that educators apply to manage the concept of digital well-being.
Actors and key resources in facilitating the transition of students from one school cycle to another

Currently, many researchers are focusing on the educational environment to assess the impact of the pandemic on the educational success of pre-university or even university students. Most of the hypotheses are related to the influence of the alternative teaching methods used during the pandemic on the school results, on the socio-emotional situation and on the resources available to students and teachers to respond better to the new format of teaching and assessment in times of crisis. In this context, it is highly unlikely that the results of such studies will be interpreted in light of the challenges already existing in a pre-pandemic education system. The paper we propose brings into question exactly this general context, offering researchers a benchmark in their analyzes regarding the impact of the pandemic on the Romanian educational environment. We base our approach on the results of a qualitative research undertaken in educational institutions in the North-East Region of Romania. The research included interviewing 60 teachers, using the in-depth interview to capture the difficulties that students and teachers face in successfully ensuring the school transition. The results of our study highlight aspects related to key actors that can support the successful implementation of the school transition, existing barriers and resources needed to facilitate the school transition.
The Use of Spelling Bee to Improve Vocabulary among Year 5 Pupils in an Online Environment

The value of vocabulary for ESL students has been demonstrated in numerous research throughout the years.However, there have been few research on the usage of board games, notably Spelling Bee, among young learners.The purpose of this research is to look into the use of Spelling Bee to help year 5 students enhance their vocabulary in an online setting.This action research was conducted with 30 Year 5 students from SK A in Kuala Lumpur.Participants were given pre-and post-tests to measure their level of enrichment in mastering the language learnt before and after.The findings demonstrated that the Spelling Bee is an effective method for improving vocabulary mastery among students.In addition, future research can target a greater number of people and use an experimental research design to improve the data's reliability and validity.it is perceived that the learners are more eager and interested in learning English, especially for the implementation of Spelling Bee game it was proved that this method influenced the learners' vocabulary mastery.It is believed that the findings would provide insight to teachers and students in the teaching and learning process, as well as add to the existing research.
APLIKASI TATA KELOLA BARANG INVENTARIS DI SDN SEMPU 2 KOTA SERANG BERBASIS WEB

SDN Sempu 2 Kota Serang is an institution engaged in the field of education. The inventory of goods at the school has a problem, namely the large number of inventory items should be managed so that some items sometimes escape the attention of officers and make it difficult to supervise the process. This is because SDN Sempu 2 Kota Serang still uses notebooks in the inventory management process so that information about school inventory items is difficult to know with certainty and quickly. Inventory report recapitulation is also still being carried out by recording in notebooks and in a period that makes it impossible to obtain information in real time or if needed at any time. This study aims that the application developed can provide convenience in monitoring inventory items owned by SDN Sempu 2 Kota Serang and provide a real time and accurate recapitulation of reports. The research method applied in this research is the waterfall method. The conclusion obtained is that making the application can facilitate and manage item data when needed so that item data will not be lost again. In addition, report generation is easier and more efficient.
Video captioning in Vietnamese using deep learning

&lt;p&gt;&lt;span&gt;With the development of today's society, demand for applications using digital cameras jumps over year by year. However, analyzing large amounts of video data causes one of the most challenging issues. In addition to storing the data captured by the camera, intelligent systems are required to quickly analyze the data to correct important situations. In this paper, we use deep learning techniques to build automatic models that describe movements on video. To solve the problem, we use three deep learning models: sequence-to-sequence model based on recurrent neural network, sequence-to-sequence model with attention and transformer model. We evaluate the effectiveness of the approaches based on the results of three models. To train these models, we use microsoft research video description corpus (MSVD) dataset including 1970 videos and 85,550 captions translated into Vietnamese. In order to ensure the description of the content in Vietnamese, we also combine it with the natural language processing (NLP) model for Vietnamese.&lt;/span&gt;&lt;/p&gt;
Interactive Technologies in the Educational Space of the Higher School

The relevance of the work is determined by the opportunity to use the case study method in the practice of clinical legal education using a strategy, which is based on a comprehensive analysis of individual cases of human interaction and solving problems through the application of professional methods. The nature of the method is interdisciplinary, which allows students to develop the ability to navigate issues that reflect professional orientation. The research aims to develop and implement interactive teaching methods to elaborate the fundamentally important qualities of future lawyers: (1) ability to understand interlocutors, their psychological characteristics, needs, motives, and personality states; (2) ability to change the communication style depending on the prevailing circumstances; and (3) ability to reach compromises, cooperation, and the development of agreements. The results of the application of the case study method have made it possible to provide psychological support for the program and practice of clinical legal education and contributed to the inclusion of psychological means of cognition in the legal sphere of knowledge.
Evaluation and Validation of the AusDiagnostics MT-Prep XL and AusDiagnostics Ultraplex-3 [SARS-CoV-2, Influenza and RSV 8-well Assay]

A validation study was conducted on the AusDiagnostics MT-Prep XL and AusDiagnostics SARS-CoV-2, Influenza and RSV 8-well assay performed on the AusDiagnostics Ultraplex 3 system.The Cycle threshold (Ct) of clinical patient samples spiked with a positive control, was compared to the reference laboratory standard, AusDiagnostics MT-Prep and Highplex System.The analytical performance was evaluated to establish the limit of detection (LOD), precision and agreement.There is an average difference in Ct of -0.883 and 0.078 between the nucleic extractors and MT-PCR systems, respectively.There was strong correlation (R-value ranging from 0.78 -0.91 for all gene targets) between the AusDiagnostics Ultraplex-3 and Highplex.Bland Altman analysis demonstrated the overall differences between the assays are within the limits of agreement (LoA).The AusDiagnostics MT-Prep XL has a processing time of 1.04 minute/sample and AusDiagnostics Ultraplex 3, 1.93 minute/sample, demonstrating a higher efficiency rate compared to the reference standard.RSV and SARS-CoV-2 detection in clinical samples were compared to the AusDiagnostics Highplex system as a reference standard.The assay demonstrated 99.10% overall agreement, with a PPA 100% and NPA of 99%.Kappa statistics of 0.95 (p < 0.05) suggests excellent agreement level between the two platforms.Moreover, precision study was conducted to observe the intra-run and inter-run assay variability.The calculated average Ct observed in all targets is 1.063% and 1.682%, respectively.The CV% is <2% suggesting high precision, low variability, and dispersion in data points.The commercialized AusDiagnostics MT-Prep XL and Ultraplex 3 is a viable platform, fit for purpose in detecting the SARS-CoV-2, Influenza A, Influenza B and RSV respiratory viruses.It's high efficiency rate and 96-sample capacity enhances laboratory throughput and enables faster time to result in comparison to the current reference standard.
A multithreaded hybrid framework for mining frequent itemsets

&lt;p&gt;&lt;span&gt;Mining frequent itemsets is an area of data mining that has beguiled several researchers in recent years. Varied data structures such as Nodesets, DiffNodesets, NegNodesets, N-lists, and Diffsets are among a few that were employed to extract frequent items. However, most of these approaches fell short either in respect of run time or memory. Hybrid frameworks were formulated to repress these issues that encompass the deployment of two or more data structures to facilitate effective mining of frequent itemsets. Such an approach aims to exploit the advantages of either of the data structures while mitigating the problems of relying on either of them alone. However, limited efforts have been made to reinforce the efficiency of such frameworks. To address these issues this paper proposes a novel multithreaded hybrid framework comprising of NegNodesets and N-list structure that uses the multicore feature of today’s processors. While NegNodesets offer a concise representation of itemsets, N-lists rely on List intersection thereby speeding up the mining process. To optimize the extraction of frequent items a hash-based algorithm has been designed here to extract the resultant set of frequent items which further enhances the novelty of the framework.&lt;/span&gt;&lt;/p&gt;
Modern Psychological and Teaching Technologies for Implementing the Educational Process in Higher Educational Institutions of Ukraine

The relevance of the subject under study lies in the use of the latest educational technologies in higher educational institutions of Ukraine. As a consequence, the study focuses on the concept of teaching technology in the psychological and educational literature and on identifying the most optimal teaching programme for institutions of higher education for the implementation of modern innovative technologies. The above listed objectives determine the purpose of this study — to establish and test a curriculum for the implementation of modern psychological and teaching technologies of the educational process in Ukrainian universities. The leading methods included the organisation of experimental research on the development and modelling of the curriculum using the latest technologies. During the establishing and controlling stages of this study, the cross-sectional method was employed to learn the features and regularities of the mental development of higher education students, using the latest psychological and teaching technology in education. The results of the study consider the present-day requirements and demonstrate the necessity of incorporating such technologies as self-development and distance learning. The programme includes recommendations for the most successful implementation of the educational process, guided by the student's personality. The main idea of this programme is “the students are taught by themselves, not by the teacher”. The significance of the results of this study is valuable for conscious students, teachers inspired by their craft, and Ukrainian universities that strive to fill the labour market with prominent specialists, as opposed to graduates with a “plastic diploma”.
Quality Enhancement of 3D Volumetric Contents Based on 6DoF for 5G Telepresence Service

In general, the importance of 6DoF (degree of freedom) 3D (dimension) volumetric contents technology is emerging in 5G (generation) telepresence service, Web-based (WebGL) graphics, computer vision, robotics, and next-generation augmented reality. Since it is possible to acquire RGB images and depth images in real-time through depth sensors that use various depth acquisition methods such as time of flight (ToF) and lidar, many changes have been made in object detection, tracking, and recognition research. In this paper, we propose a method to improve the quality of 3D models for 5G telepresence by processing images acquired through depth and RGB cameras on a multi-view camera system. In this paper, the quality is improved in two major ways. The first concerns the shape of the 3D model. A method of removing noise outside the object by applying a mask obtained from a color image and a combined filtering operation to obtain the difference in depth information between pixels inside the object were proposed. Second, we propose an illumination compensation method for images acquired through a multi-view camera system for photo-realistic 3D model generation. It is assumed that the three-dimensional volumetric shooting is done indoors, and the location and intensity of illumination according to time are constant. Since the multi-view camera uses a total of 8 pairs and converges toward the center of space, the intensity and angle of light incident on each camera are different even if the illumination is constant. Therefore, all cameras take a color correction chart and use a color optimization function to obtain a color conversion matrix that defines the relationship between the eight acquired images. Using this, the image input from all cameras is corrected based on the color correction chart. It was confirmed that the quality of the 3D model could be improved by effectively removing noise due to the proposed method when acquiring images of a 3D volumetric object using eight cameras. It has been experimentally proven that the color difference between images is reduced.