Reviewerly/exHarmony huggingface dataset:
The current practice of student’ soft skill training at Dong Thap University: From the perspectives of students and lecturers, educational managers

The article is aimed at assessing the current situation of soft skills training of students at Dong Thap University. The sample was composed of 600 students from eleven departments; 180 managers, lecturers and employees of Dong Thap University. At the same time, we also designed in-depth interviews with 15 students, 10 lecturers and 5 managers about the present situation of soft skills training at Dong Thap University in the 1st semester of the school year 2021-2022 who were chosen to complete a 27-item questionnaire on a Likert scale to measure their soft skill. The results of the assessment of the current state of soft skills training show an overview of students' soft skills. Based on the results, we could have some proposals to improve soft skills for students at Dong Thap University in order to help each student self-train necessary soft skills to meet the conditions of the realities, social requirements and employers’ expectations.
A Study on exploring the alternative paradigm of career education in middle school based on main thoughts advocated by Ivan Illich

Objectives Based on Ivan Illich's key ideas, this study explored an alternative paradigm for secondary career education.&#x0D; Methods The research method involved an inductive content analysis of four of Illich's works that cover education and labor.&#x0D; Results First, Illich's key ideas were divided into two main areas: insight and alternatives. The insight area comprised three factors (1. radical monopoly, 2. the decline of vernacular and commons, and 3. the birth of modern slavery) that reveal the hidden nature and violence of modern civilization. The alternative area consisted of institutional and cultural alternatives, with convivial retooling as the institutional factor and the recovery of the autonomous and creative life as the cultural factor. Second, an alternative paradigm for secondary career education in Korea based on Illich's key ideas emerged as a “journey toward autonomous and convivial life based on the local community” represented by a “horizontal and non-linear spider web” model.&#x0D; Conclusions To transition to an alternative paradigm based on Illich's key ideas, changes are required in the perception, system, and cultural dimensions of existing career education. First, in terms of perception, “career” needs to be understood as “a process of contemplating what is the best life for oneself,” and “career education” needs to be recognized as “providing an educational environment and support system to develop the capabilities and confidence needed for such a life.” Second, a new form of the career education system needs to be established, moving away from the entrenched existing educational system. Finally, in the cultural dimension, society needs to reflect on and transform the current career education system. Additionally, future research should examine a more diverse range of alternative cases, such as SOLE, Gaviotas, and Cuba's educational revolution, that has been overlooked by our education system due to social ideologies and other reasons.
The Effect of Self-Directed Learning on Career Adaptability of Adult Learners: Focusing on the Mediating Effect of Self-Efficacy in Career Decision

Objectives This study is to verify the mediating effect of career decision self-efficacy in the relationship between the influence of adult learners' self-directed learning on career adaptability.&#x0D; Methods For this purpose, 413 adult learners were selected as study subjects, and the data were analyzed using the SPSS 25 statistical program. Descriptive statistical analysis was conducted to identify the general characteristics and normality of the collected data, and reliability analysis and exploratory factor analysis were conducted to determine reliability and validity. In addition, a correlation analysis was performed to identify the correlation between major variables, and a regression analysis was conducted to verify the mediating effect of self-efficacy in career decision-making in the relationship between the effects of self-directed learning on career adaptability.&#x0D; Results First, the cognitive domain, affective domain, and behavioral domain, which are the sub-factors of adult learners' self-directed learning, had a significant effect on career adaptability. Second, the cognitive domain, affective domain, and behavioral domain, which are the sub-factors of adult learners' self-directed learning, showed a statistically significant level in career decision self-efficacy. Third, the verification of the mediating effect of self-efficacy in career decision-making was significant in the relationship between cognitive domain, affective domain, and behavioral domain, which are the sub-factors of adult learners' self-directed learning, on career adaptability.&#x0D; Conclusions Based on this, self-directed learning and career decision-making self-efficacy should be promoted in order to increase career adaptability of adult learners. Through this, it is intended to provide implications and basic data for lifelong education of adult learners.
Short text similarity calculation method based on word vector attention mechanism and CNN-BiPLSTM

Similarity calculation of short text is an important part of text classification. In view of the problem that statistical learning methods can only extract shallow features of short texts, but cannot express their deep semantics through the extracted features, a new method based on two-way mirror hole connection is proposed. A short text semantic similarity calculation model combining long short-term memory network (BiP-LSTM) and convolutional neural network (CNN). The word vector is pre-trained with the word vector attention mechanism, and the distance factor is introduced to solve the influence of the distance between words on the word sense association. When combining sentence-level features, an attention mechanism is added to make it contain more representative features. The experimental results show that, based on the Rotten_imdb and Quora Question Pairs datasets, the proposed short text similarity calculation method has an accuracy of 84.37% and an F1 value of 83.67%, which is better than other benchmark methods.
Keyword Network Analysis on Early Childhood Sex Education through Big Data

Objectives The purpose of this study is to analyze major issues and discourses related to early childhood sex education in our society by extracting and analyzing key keywords related to early childhood education from big data that can be collected in online space.&#x0D; Methods Using the Textom platform, texts related to ‘childhood sex education’ from July 2017 to June 2022 were mined and refined in the first and second stages. By analyzing the frequency of refined keywords, the basic properties of the network and the centrality of each keyword were analyzed using the top 50 keywords. Afterwards, Ucinet 6 was used to examine the types within the network.&#x0D; Results As a result of frequency analysis, ‘storybook’, ‘child’, ‘sex’, ‘education’, ‘book’, ‘parent’, ‘number’, ‘start’, ‘mom’, and ‘kindergarten’ were the highest in order. As a result of testing the significance of the network data between the top 50 keywords, a statistically significant relationship was found between the network data, there was a statistically significant relationship between network data, and the analysis of centrality showed that the top 26 keywords had similar values in closeness and betweenness centrality, so each keyword was closely connected to each other. As a result of the type analysis within the network, ‘early childhood sex education through the media’, ‘family demand for early childhood sex education’, ‘educational awareness of early childhood sex education’, and ‘early childhood sex education through lecture’ appeared.&#x0D; Conclusions Through the results of this study, we discussed the development plan by understanding the perception and social context of early childhood sexual education in Korea for the last 5 years. This study is meaningful as basic data for developing various sex education programs based on social understanding of early childhood sex education.
Markov-GWNN: Markov graph wavelet neural network for semi-supervised node classification

Graph wavelet neural network, as a popular method of graph neural networks, has achieved good result in representation learning. However, graph wavelet neural network faces the phenomenon of over-smoothing, which means that repeated propagation of multi-layer network makes node feature representation indistinguishable. The current methods to alleviate over-smoothing phenomenon of graph wavelet neural network have the problem of add more model parameters, which leads to running time become higher and training process more difficult. In order to solve the above problem, this paper proposes a new method called Markov graph wavelet neural network. On the one hand, Markov graph wavelet neural network decouples feature transformation and feature propagation. First, multi-layer perceptron is used for feature transformation, which reduces the number of model training parameters and reduces running time. On the other hand, Markov diffusion kernel is applied to k-order feature propagation, effectively obtains node local information and node global information. Besides, the influence of initial feature is considered to update target node representation, which effectively alleviates over-smoothing phenomenon. Finally, the experimental result of Markov graph wavelet neural network model on Cora, CiteSeer, PubMed exceeds the representative baseline algorithms, which fully demonstrates the superiority of Markov graph wavelet neural network.
Improve light weight convolutional neural networks for dace recognition with multi-style recalibration module

With the rapid development of deep learning, many areas have achieved impressive progresses. However, deep learning often suffers from complex computation paradigms and huge memory occupancies, lightweight networks attract gradually increasing attention recently. Various lightweight network models have emerged in recent years, and are also widely used in small mobile devices. Then, there is still a lack of expressive power for lightweight networks compared to deep networks. This study leverages multiple statistics as representative of a feature map and proposes a Multi-Style Recalibration Module of a channel attention mechanism to improve the accuracy of lightweight network model recognition without increasing their storage space. This mechanism is embedded on MobileFaceNet as a study case. We test the new model on LFW dataset for demonstration and find that its occupancy only increases 0.2 MB, while the accuracy is increased by 0.18%.
Comprehensive Analysis of Video Surveillance System and Applications

In this growing age of technology, various sensors are used to capture data from their nearby environments. The captured data is multimedia in nature. For example, CCTV cameras are used in those places where security matters or where continuous monitoring is required. Hence object detection, object recognition, and face recognition became key elements of city surveillance applications. Manual surveillance seems time-consuming and requires huge space to store the data; hence video surveillance has a significant contribution to unstructured big data. All surveillance techniques and approaches are based on Object Tracking, Target Tracking, Object Recognition, and Object Mobile Tracking Systems (OMTS). The main difficulty, however, lies in effectively processing them in real time. Therefore, finding a solution still needs careful consideration. This paper mainly targeting to the smart city surveillance system and inspects all existing surveillance systems based on various tremendous technologies like a wireless sensor network, machine learning, and Deep Learning. The author discovered the problems in the existing methods and summarized them in the paper. The motive is to point out the various challenges and offer new research prospects for the multimedia-oriented surveillance system over the traditional surveillance system for the smart city network architecture. The thorough survey in this paper starts with object recognition and goes toward action recognition, image annotation, and scene understanding. This comprehensive survey summarizes the comparative analysis of algorithms, models, and datasets in addition to targeting the methodologies.
Moléculas provisórias

Moléculas provisórias são espécies de peças gráficas, dispositivos sonoros não-cocleares, apresentados no formato partitura expandida. Acompanham um guia para leitura/escuta, LEGENDA/YES/NOT-ação, que propõe coordenadas para escutas imaginadas que podem ser escutados/executados através do ler/ver. A abertura dos signos imprime execuções em aberto, possibilitando a proliferação de outros sistemas e agenciamentos.Palavras-chave: escuta; palavra; desenho sonoro; forma partitura.Provisional molecules are a kind of graphic pieces, non-cochlear sound devices, presented in the expanded score format. They are accompanied by a reading/listening guide, LEGEND/YES/NOT-action, which proposes coordinates for imagined listening that can be listened/executed through reading/seeing. The opening of signs prints open executions, enabling the proliferation of other systems and assemblages.Keywords: listening; word; sound drawning; score.
A Case Study on the Play-Center Educational Practice Competency by Anji Play Kindergarten Teachers in China: Focusing on the K Kindergarten Case

Objectives This study examines the process by which the recognition of children's right to play, which explains the practical competency of play-centered education of Chinese Anji kindergarten teachers in a meaningful way, is formed and how it is implemented in the field of play-center education.&#x0D; Methods To this end, for about three weeks from March 14, 2022, to April 2, 2022, a study was conducted in Anji County, Huzhou City, Zhejiang Province, China, focusing on participatory observation, in-depth interviews, and literature data analysis. A case study was conducted at K Kindergarten.&#x0D; Results The meaning of play-center education practice for teachers at Anji K Kindergarten was defined as an ‘a teacher who constantly strives to support real play’, ‘belief in children, the core of play-center education’, ‘a compass for expanding children's exploration activities and play’, ‘going together for a long time’ was divided into 4 categories, and each of them was further divided into subcategories and presented as nomads. Specifically, first, teachers did not recognize children's right to play from the beginning and had a high competency in practicing play-centered education at K kindergarten. Second, K kindergarten teachers believe that the main character of the classroom is an infant, which is much better than the teacher thinks. They keep themselves safe in the midst of adventure and challenge and believe that all children have their own inherent speed in them. Third, teachers of K kindergarten are developing the children’ power to observe, record and through large group sharing. Fourth, one nursery school (保育员) who is in charge of cleaning and preparing meals for each class of K Kindergarten. As a kindergarten leader, constantly requested financial support necessary for education from the government and overcame difficulties to reach the current play-centered education system.&#x0D; Conclusions First, it was confirmed that the high level of play-center education practice competency of Chinese Anji kindergarten teachers was not achieved in a short period of time, but through many years of effort. Second, it was confirmed that Anji kindergarten teachers in China fully believed in children. Third, it was confirmed that Anji kindergarten teachers had enough opportunities to expand children's play and reflect on their experiences daily.
Risks, perceptions and the law: regulatory approaches to risk

Different perceptions of risk can lead to different approaches to risk assessment and risk management. From a general perspective, a distinction can be drawn between two main regulatory approaches. First, the ‘product’ or ‘vertical’ approach, which centres on the features of a finalized biotech product. The United States and many other countries follow this approach. Second, the ‘process’ or ‘horizontal’ approach, which focuses on the production process rather than on the final product and which inspires EU regulation. These alternatives have played a fundamental role, for example, in the regulation of new methods of genetic engineering. Some international instruments additionally allow to take the socio-economic impact of some biotech products (e.g. living modified organisms) into account. Regulations are normally justified on objective, scientific criteria. However, scientific evidence does not always provide certainty about risks and thus leaves a corridor for policy choices. In international law, the precautionary principle covers restrictive measures in the face of potential risks which have not yet been established conclusively.
Curriculum and Textbook Analysis of Nuclear Power in Major Countries: Focusing on Science and Social Studies

Objectives The purposes of this study were to analyze status, history and policy, science and social studies curriculum, textbooks of nuclear power in major countries.&#x0D; Methods In accordance with global nuclear policies, the United States and Japan were selected as countries to expand and maintain nuclear power plants. In the case of a country abolishing it, Korea, Germany, France were chosen. Australia is one of the countries that doesn't have it. We identified the current status of nuclear power through the number of nuclear power plants, generation, historical and policy data in major countries. And this study investigated nuclear power generation after collecting data from science and social studies curriculum and textbooks published by selected countries and discussed the implications.&#x0D; Results In terms of the curriculum, science subject was more than social studies subject, especially in high school physics and chemistry. Textbooks of the 2009 Revised Curriculum and US textbooks showed high in frequency. In domestic textbooks and foreign science textbooks, contents were many “pros and cons, and controversial situations of nuclear power generation”. In foreign social studies textbooks, contents were many “nuclear accident”.&#x0D; Conclusions In order to students to properly understand the issue of nuclear power generation, nuclear content and educational methods should be planned systematically from elementary school.
Improved YOLOv5 for breast mass detection based on attention mechanism

Because of the unclear boundaries and different shapes and sizes of breast masses, the accuracy of using traditional computer-aided diagnosis systems is low and it is difficult to meet the clinical requirements of physicians. In this paper, we propose a breast mass detection algorithm based on the combination of YOLOv5 and improved coordinate attention, to meet the clinical requirements of high accuracy and real-time. First, a novel backbone feature extraction network is constructed by combining the underlying backbone network and attention mechanism to fully learn useful features and suppress irrelevant features, thus enhancing the feature expression capability. Then a multi-path aggregation network is designed as the neck of feature fusion to fully fuse the feature information at different levels. Validation experiments are conducted on the DDSM breast mass dataset, and the results show that the network can accurately detect masses of different scales in different backgrounds with better real-time performance. Compared with the base YOLOv5, the network improves by 2.3% in accuracy.
A Study on How to Design Secondary Music Class Using Digital Media

Objectives The purpose of this study is to examine the types of digital media that can be used in the secondary music education field, discuss music class design strategies, and then present a teaching and learning guidance plan to find out how actual classes that apply them can be implemented.&#x0D; Methods Therefore, the types of digital media that can be effectively used in the secondary music education field were divided into 11 categories and considered, and pedagogical strategies for designing music classes to maintain the essence of the music curriculum while actively using digital media were examined. And lastly, I drew a blueprint for secondary music class design using digital media by presenting a lesson plan for ‘The Nutcracker Suite’ and ‘Daechwita’, which are loaded in secondary textbooks.&#x0D; Results The results of this study are six in total. Music education using digital arouses learners' interest, provides scaffolding to improve musical literacy, and expands digital literacy. The point is that it is important to integrate the design and the process, to study the textbook faithfully, and to secure the connection to learning. In addition, the points to be considered while expanding the digital element to secondary music classes include preventing learners from losing concentration in online classes, securing the safety of realistic content for learners' health, maintaining the essence of music subjects, and changing the educational field that has been changed by science and technology. It is necessary to think about the role of teachers.&#x0D; Conclusions It is necessary to think about the role of teachers. If a music class design plan using digital is actively carried out by reading the current trend, music education for secondary students will more actively permeate into their lives, leading to true understanding and enjoyment.
Investing Data Flow Issue by using Rayleigh Model in Cloud Computing

Programming groups benefit significantly from programming error forecasting, which also advances current achievement. Programming imperfection expectation has been the subject of experimental studies on both inside- and outside-project deformity forecast. However, current analyses dont appear to be able to provide a method for estimating the number of flaws in a soon-to-be-released product. This paper describes such an approach and determines the relationship between each indicator variable and the total number of defects using indicator variables obtained from the deformity speed increase, namely the imperfection thickness, deformity speed, and imperfection presentation time. We describe how a coordinated AI strategy was used in light of relapse models created using these indicator criteria. 3 distinct datasets with 228 occurrences were taken from the Kaggle store and subjected to analysis. The modified R-square for the relapse model developed as a component of the usual deformity speed was 98.6%, with a p-value of 0.001 being achieved. With a connection value of 0.98, the average deformity speed is clearly correlated with the number of flaws. As a result, it is demonstrated how this process might provide a framework for programmer testing in order to increase the viability of programming advancement activities.
Sleptsov Net Computing resolves problems of modern supercomputing revealed by Jack Dongarra in his Turing Award talk in November 2022

In his Turing Award Lecture, Jack Dongarra revealed a drastic problem of modern HPC – low efficiency on real-life task mixture, 0.8% for the best supercomputer Frontier. Born in Ukraine paradigm of Sleptsov net computing resolves this problem with the computing memory hardware implementation of an entirely graphical language of concurrent programming supplied with framework of formal methods for verification of concurrent programs.