Reviewerly/exHarmony huggingface dataset:
IB MYP school educational implementation aspects and challenges: Focusing on teachers IB program application experience

Objectives This study aimed to obtain educational implications for the settlement of IB public education by identifying the educational practice patterns and perceptions of teachers applying the program in IB MYP schools introduced into public education.&#x0D; Methods To this end, data were collected through group focus group interviews, class observations, and teachers' council visits with 16 IB MYP candidate schools and world school teachers (as of ΄21) in A region that are introducing the IB program in public education. Analyzed and organized.&#x0D; Results As a result, teachers' curriculum literacy improved in the process of understanding the national curriculum for the application of the IB program, and professionalism, autonomy, and responsibility increased in the composition of classes and assessments. Although the IB evaluation system was cited as the biggest factor in improving class instruction, under the current situation, they felt the burden of operating dual evaluation systems such as nice evaluation and summative evaluation, relative evaluation and absolute evaluation, and short answer and multiple choice evaluation. Most of the teachers said that systematic IB education contributes greatly to the development of teacher professionalism and the strengthening of students' competence, but it is very important to secure the research time necessary for teachers' class design and preparation. Teachers said that the ‘evaluation system’, ‘school quality management system’, and ‘structure that induces collaboration’ were attractive in IB education, while lack of research time, sense of responsibility and pressure for IB program application classes and evaluation, and individual feedback The large number of students managed and the burden as a leading teacher appeared as job stress. Teachers thought that the IB program was a very good educational device, but it should be accompanied by training support, work reduction, and changes in the form of entrance exams to secure teacher expertise.&#x0D; Conclusions Therefore, in this study, in order for IB education to stably settle in public education, the feasibility of introducing IB education and the formation of strong consensus among members on the educational effects, securing teacher research time, supporting IB teacher network establishment, and developing IB school teachers and student growth. Necessities such as development of measuring tools, improvement of teacher training system, accumulation of data on introductory evaluation method, and exploration of the IB program applied curriculum education implementation process were suggested.
Analysis of Factors Influencing Academic Slump in College Freshmen Using Lasso Regression Model and Random Forest Analysis Technique

Objectives This study aims to provide implications for university education policy research for the academic adjustment of freshmen by comprehensively analyzing the factors that affect academic underachievement of freshmen.&#x0D; Methods For this purpose, we used data from a total of 8,516 college freshmen who responded to the fourth-year survey conducted by the Korean Employment Panel, and applied machine learning techniques, namely Lasso regression analysis and Random Forest analysis.&#x0D; Results As a result of Lasso regression analysis, it was found that gender, implementation of the plan, and provision of company recruitment information were the variables that affected academic underachievement of college freshmen. As a result of random forest analysis, personal life culture, family background, and school environment were identified as major factors. As a result of examining the newly derived variables, the ability to use digital technology, learning habits and motivation, and emotional stability were confirmed. By comprehensively considering these variables, a more accurate understanding of academic underachievement can be sought.&#x0D; Conclusions The factors influencing academic underachievement of college freshmen are more complex and diverse. Individualized support and innovation in university education suitable for the digital native generation will be needed to prevent academic underachievement.
Design of Korean Language Education Communicative Competency Unit based on Understanding by Design: Focusing on ‘Discussing’

Objectives This study aims to design Korean language education communicative competency unit based on backward design, focusing on ‘discussing.’&#x0D; Methods The unit design was promoted according to the ADDIE model procedure. The analysis (A) step proceeded with a discussion on related theories, an analysis of preceding studies, and an analysis of the Korean language education curriculum. The design (D) step built up a unit design model reflecting three-step procedures of backward design to implement the learners’ ‘true understanding’ pursued by the backward design model. The development (D) step designed Korean language education communicative competency unit based on backward design, focusing on ‘discussing,’ going through the expert review process. The evaluation (E) step conducted a verification survey of validation of the unit design (draft) with Korean language education experts (12 persons).&#x0D; Results As a result of verification survey of validation of the unit design (draft), the CVR value of each item exceeded the standard value (.56). Thus, it was judged that this unit design (draft) secured the validity.&#x0D; Conclusions This study developed a Korean language education communicative competency unit based on backward design, focusing on ‘discussing.’ This study proposed a unit model in which the whole process of discussion could be systematically experienced in one unit by utilizing the Evaluation Index of Korean Language Education Communicative Competency. In addition, a discussion rubric was developed to develop an assessment tool for measuring learners. Hopefully, this study will help studies and practices of ‘competency-oriented Korean language education.’
A Plan to Build a Customized Support System of Education Innovation Level for Student Success: Focusing on Non-Subject Education Support at C University

Objectives In this study, we established a non-subject support roadmap based on the analysis of the status of non-subject education support as a way to build a customized support system for the level of education innovation for student success at C university.&#x0D; Methods For this purpose, this study analyzed the comparison and demand survey (question items 17) of students at local C university and the survey on the actual condition of non-subject support (question items 36) targeting faculty members of the non-subject management department.&#x0D; Results 422 students from local C university located were asked to present improvements and directions of support through a users satisfaction survey on non-curriculum education and consumer-centered opinions, and the overall operational status and actual conditions of non-curriculum education were identified by five faculty members of the non-curriculum management department to prepare a phased customized support roadmap for the non-curriculum for student success.&#x0D; Conclusions In order to establish a customized support system for the stage of student success education innovation, we prepared a comparative education roadmap and established a comparative education support system for C university.
A Study on Features of Morphemes’ Differences between Sino-Korean words and Chinese words from the perspective of Qualia Roles: Focused on ‘Two-Syllable Partial Heteromorphic and Synonymic Nouns’

Objectives This study aims to organize the meanings of two-syllable partial heteromorphic and synonymic nouns of Sino-Korean words and Chinese words and their morphemes, analyze the differences between morphemes’ meanings and find the characteristcs inside so as to make it better to distinguish the differences between Sino-Korean words and Chinese words for Chinese Korean learners.&#x0D; Methods Referring to the list of beginning and intermediate vocabularies of the Test of Proficiency in Korean, two-syllable partial heteromorphic and synonymic nouns were selected as the subjects of the study. After listing the meanings of Sino-Korean and Chinese words and the morphemes that constitutes those words, the features of the morphemes’ differences between the two languages will be analyzed from the perspective of qualia roles.&#x0D; Results Three features of the morphemes’ differences have been observed between the two languages’ nouns with two-syllable and partial heteromorphic synonyms. The first feature is that most of the differences can be explained and understood by the qualia roles ‘shape’ and ‘significant relationship’, which were belonging to ‘constitutive’ and ‘formal’. And the second feature is that the morphemes’ differences between the two languages’ words is closely related to the qualia roles about ‘action’ and ‘handle’. The last feature is that as a component of qualia roles, the ‘agentive’ could hardly be able to explain the morphemes’ differences between Sino-Korean words and Chinese words.&#x0D; Conclusions Lots of Chinese Korean learners do not fully recognize and understand the morphemes’ differences between Sino-Korean words and Chinese words, and they are tending to regarded heteromorphic synonyms as isomorphic synonyms, and this is one of the reasons why the errors in heteromorphic synonyms field are often occurred. So it’s necessary to make students recognize the morphemes’ differences between Sino-Korean words and Chinese words. It is expected that the results of this study will be activated used by helping learners to understand and distinguish those morphemes differences between the two languages. And the necessity of follow-up research on specific operation plans and other parts of speech is suggested.
Desenvolvimento de armação de óculos em impressão 3D para usuário com baixa visão: levantamento e análise de dados

The traditional manufacture of glasses through series production generally addresses functional issues, however, when it comes to accommodating the frame as an optical support for adapting loupes for low vision, this production neglects aspects of adaptability and comfort.With development and technological evolution, possibilities arise for the design of products focused on the user, aiming to meet specific needs for each ophthalmological condition.The objective of this research is to propose a study of the design process of eyeglass frames, based on the assumptions of user-centered design and inclusive design.The method is based on the Guidance Guide for Project Development (GGPD), configured by three moments and eight steps based on information collection, creative development, project execution, feasibility and final verification of the product.The proposal for a 3D-printed eyeglass frame is a contribution to the development of subnormal vision aid equipment, a custom-made frame meeting the user's needs.
A Dataset and Strong Baselines for Classification of Czech News Texts

Pre-trained models for Czech Natural Language Processing are often evaluated on purely linguistic tasks (POS tagging, parsing, NER) and relatively simple classification tasks such as sentiment classification or article classification from a single news source. As an alternative, we present CZEch NEws Classification dataset (CZE-NEC), one of the largest Czech classification datasets, composed of news articles from various sources spanning over twenty years, which allows a more rigorous evaluation of such models. We define four classification tasks: news source, news category, inferred author’s gender, and day of the week. To verify the task difficulty, we conducted a human evaluation, which revealed that human performance lags behind strong machine-learning baselines built upon pre-trained transformer models. Furthermore, we show that language-specific pre-trained encoder analysis outperforms selected commercially available large-scale generative language models.
Overview of international standards in the fi eld of quantum communications

Currently, quantum technologies are actively developing in the world. In the Russian Federation, the curator of this direction is JSC “Russian Railways”, which initiated the development of national standards in the field of quantum communications and quantum Internet. The article examines the main international organizations dealing with standardization issues in the field of quantum communications, provides the overview of the main international standards in the field of quantum communications.
A Covid-19 e a Saúde Mental dos Estudantes do Ensino Superior

With the emergence of Covid-19, prevention measures have been proposed by the World Health Organization (WHO) to inhibit the spread of the disease in several countries around the world.Among the measures was the social isolation that brought changes in the teaching methodology of several institutions and in the lives of university students.Thus, the objective of the present study was to identify in the national literature, which and how the research presents the main consequences of the Covid-19 pandemic on the mental health of higher education students and the main ways of coping.For this, an integrative literature review was carried out from the databases Virtual Health Library (VHL) and Coordination for the Improvement of Higher Education Personnel (CAPES).After analyzing the studies surveyed, 42 eligible studies were selected and then tabulated through Excel Software.According to the contents found, social isolation affected the life and routine of the students.They had to adapt to distance learning and deal with the lack of social contact with friends and family.Negative impacts such as fear of dying or being contaminated, fear of losing a loved one, hopelessness, loneliness and suicidal thoughts were generated.These factors have further contributed to mental illness and the emergence of psychological symptoms and illnesses such as depression, anxiety, and stress in the academic population.Strategies were developed by educational institutions and students themselves to help cope with the impacts generated by the pandemic on mental health.
Criminal Responsibility for Assault on Written Classifies (A Comparative Study)

The increase in attacks against written classified works at the present time especiallyafter the technological development witnessed by the societies which facilitated the attack on written classified works as well as increased them have derived us to look for legal regulation for the protection of written classified works in Iraq in comparison with Egypt and France, due to the fact that increasing attacks on written classified works lead to reducing authors’ innovations and consequently the deterioration of cultural and economic life in society. The French, Egyptian and Iraqi legislators have made clear efforts to protect written classified works by promulgating laws for the protection of intellectual property rights in general and written classified works as part of them. In spite of that, laws for the protection of written classified works have weakness that reduced their effectiveness in protecting written classified works. Weakness stems from the weakness of the criminal penalty provided for the attacking written classified works. Moreover, these laws did not contain rules of procedure for the protection of written classified works required by the nature of these crimes. Further, the laws wrote assaults on the written classified works exclusively and they were not successful in that, because it is not possible to count all the attacks on the written classified works.Therefore we hope that the Iraqi legislator provides rules of procedure for the protection of the author of written classified works according to the Iraqi copyright law No.3 of 1971 as amended by the coalition order No. 82 of 2004 as well as increase the criminal penalties against assaults on written classified works to achieve public and private deterrent as we hope researchers to demonstrate the ethics of scientific research, and commit to scientific integrity
Are Existing Mobile Writing Applications for Writing Difficulties Sufficient?

Students who struggle with writing may also struggle academically. Mobile applications play a vital and supportive role in addressing this issue. The purpose of this research is to examine mobile writing applications and to gather the opinions of teachers and experts on these applications in order to support the writing skills of 1st and 2nd-grade primary school students. In this way, the strengths and weaknesses of the existing applications will be evaluated, and a projection will be kept on the mobile writing application that should be. The researchers applied qualitative and quantitative methods. In order to reveal the needs in question, a number of applications from the Android and IOS stores were reviewed using a rubric devised by the researchers. Semi-structured interviews were conducted to gather opinions from primary school and special education teachers and subject matter experts in primary and special education. The study revealed the insufficiency of targeted applications to support writing skills, particularly regarding accessibility, audio, and visual elements. This finding emphasizes the need for new mobile applications to eliminate the limitations. This study provided vital insights into building a mobile application for addressing writing difficulties that might satisfy the needs. The results of this study include suggestions that will shed light on future research on mobile writing applications.
Improved fuzzy sparse multi-class least squares support vector machine

The classification problem is a key area of research in machine learning. The Least Squares Support Vector Machine (LSSVM) is an important classifier that is commonly used to solve classification problems. Its widespread use stems from its replacement of the inequality constraint in the Support Vector Machine (SVM) with the equality constraint, which transforms the convex quadratic programming (QP) problem of SVM into the solution of linear equations. However, when dealing with multi-class classification problems, LSSVM faces the challenges of lack of sparsity and sample noises, which can negatively impact its performance. Based on the modeling characteristics and data distribution of the multi-class LSSVM model, this paper proposes two improvements and establishes an improved fuzzy sparse multi-class least squares support vector machine (IF-S-M-LSSVM). The first improvement adopts a non-iterative sparse algorithm, which can delete training sample points to different degrees by adjusting the sparse ratio. The second improvement addresses the impact of sample noise on determining the optimal hyperplane by adding a fuzzy membership degree based on sample density. The advantages of the new model, in terms of training speed and classification accuracy, are verified through UCI machine learning standard data set experiments. Finally, the statistical significance of the IF-S-M-LSSVM model is tested using the Friedman and Bonferroni-Dunn tests.
FedLC: Accelerating Asynchronous Federated Learning in Edge Computing

Federated Learning (FL) has been widely adopted to process the enormous data in the application scenarios like Edge Computing (EC). However, the commonly-used synchronous mechanism in FL may incur unacceptable waiting time for heterogeneous devices, leading to a great strain on the devices' constrained resources. In addition, the alternative asynchronous FL is known to suffer from the model staleness, which will lead to performance degradation of the trained model, especially on <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">non-i.i.d.</i> data. In this paper, we design a novel asynchronous FL mechanism, named FedLC, to handle the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">non-i.i.d.</i> issue in EC by enabling the local collaboration among edge devices. Specifically, apart from uploading the local model directly to the server, each device will transmit its gradient to the other devices with different data distributions for local collaboration, which can improve the model generality. We theoretically analyze the convergence rate of FedLC and obtain the quantitative relationship between convergence bound and local collaboration. We design an efficient algorithm utilizing demand-list to determine the set of devices receiving gradients from each device. To handle the model staleness, we further assign different learning rates for various devices according to their participation frequency. The extensive experimental results demonstrate the effectiveness of our proposed mechanism.
Influence Of The Stoichiometric Ratio Of Chlorination Agents On Extraction Of Trace Elements From Goethite

In this paper, an investigation of the selective chlorination of targeted elements from goethite residues is performed.Goethite is an iron precipitated residue which results from the zinc industry, it contains many valuable elements as well as heavy elements.The recycling of these elements is economically and environmentally beneficial.The aims of this investigation are to recover the targeted valuable elements from the goethite which reduces the landfill, and to explain the fundamentals of the chlorination process.The effects of using different chlorination agents, such as aluminium chloride hexahydrate and magnesium chloride hexahydrate, as well as the influences of using various stoichiometric amounts of these agents, are studied with regard to how effectively the targeted elements are extracted.It was found that the targeted elements can be extracted more effectively using magnesium chloride hexahydrate.
Multi-Sensor Fusion for Proactive Anomaly Detection in Robot Navigation

Mobile robots frequently exhibit abnormal behaviors that can impair navigation despite the rapid progress of navigation algorithms. Modern robots need to be able to recognize these unusual behaviors in order to reach high levels of autonomy. Methods for reactive anomaly detection Detect anomalies poor task executions based on the current state of the robot and thus lack the capability to warn the robot before a malfunction actually happens. Due to the possibility of harm to the robot and the environment, such a warning delay is undesirable. For robot navigation in unstructured and uncertain situations, we suggest a proactive anomaly detection network (PAAD). Based on the anticipated movements from the predictive controller and the current observations from the perception module, PAAD forecasts the likelihood of future failure. Effective fusion of multi-sensor signals to provide reliable anomaly detection as seen in the field when there is sensor occlusion environments. Our tests on data from field robots show that our model can catch abnormal actions in real-time while retaining a low false detection rate in congested areas, outperforming earlier methods in failure identification IndexTerms - Face recognition, bias, fairness, soft-biometrics, analysis, privacy, biometrics