Reviewerly/exHarmony huggingface dataset:
Developing competence for professionals in vocational education

The article examines the process of forming competence among future professionals in the field ofvocational education, explores theoretical approaches to defining the essence and structure of professionalcompetence, as well as methods and strategies for its development. Professional competence is a crucial factorfor success in the job market and a defining quality of future professionals. In this context, the role of vocationaleducation in shaping this competence is discussed, emphasizing the need to combine theoretical knowledgewith practical skills.The impact of innovative teaching approaches on the formation of professional competence isinvestigated, including the use of information and communication technologies and active learning methods.It is determined that contemporary challenges in the economy and technological advancements require futureprofessionals to have a deeper understanding of the specifics of their field and the ability to adapt quickly tochanges6The article provides an analysis of the peculiarities of training specialists specializing in the field ofspecialization 015 «Vocational Education». The main problems arising during their training are identified, andproposed solutions are outlined, particularly those based on a competency-based approach to the formation ofprofessional competence in teachers. This approach is considered a key factor in enhancing the quality offuture professionals' training. The importance of further research in this area and the search for optimalmethods of forming competence in vocational education professionals is emphasized.The results of this study can be valuable for higher educational institutions, educators, and studentsaiming to improve the quality of vocational education and enhance their competitiveness in the job market.Given the complexity and multifaceted nature of the chosen topic, future research prospects include thedevelopment, testing, and implementation of innovative pedagogical methods in the educational environmentto ensure the high-quality training of vocational education professionals
Microthermometric characteristics of Şaphane (Oğuzlar-Çorum) Au mineralisation, Turkey

The study area is located in the Çorum province, in the Central-Inner Black Sea region, North-Central part of Turkey. In the Çorum region various continental blocks are found together. Devecidağ Complex, Artova Ophiolite Complex, Alacahöyük, Bayat, Kızılırmak, Dodurga and Bozkır formations and Dededağ granitoid and quartz veins are exposed in the vicinity of the study area. Extremely altered volcanic rocks, andesite-basalt-trachyte and tuffs are observed near the mineralisation. The silica veins associated with the mineralisation crop out in NE-SW direction southeast of Şaphane village. Pyrite, hematite, limonite and gold are the major ore minerals within the quartz veins.&#x0D; In the fluid inclusion studies, it was determined that hydrothermal solutions contain several salts such as NaCl, CaCl2 and MgCl2, the salinity values (wt.% NaCl) changed between 8% and 0.5% in quartz, from 7.4 and 1.4% in calcite, and the temperature of the solutions varied between 161 and 395°C. Available data indicate that the mineralisation in the region is associated with quartz veins and formed under epithermal-mesothermal conditions.
Methods of using computer technologies for activation of independent work of theoretical mechanics students

The article substantiates the necessity of students' independent work. An example of the use of computertechnologies and programs to activate and optimize their work is given.The purpose of the article is to substantiate the given methodology of using computer technologies andprograms to activate and optimize their independent work on theoretical mechanics.The main goal of higher education is to make a student a specialist who is capable of developing andmastering new knowledge in accordance with modern requirements. That is, the future specialist must not onlylearn knowledge, but also creatively apply it, be able to pose new problems, analyze options for theirimplementation and find the right optimal results. When working independently, the purpose of each task mustbe understood, that is, to complete the task, students rely on their knowledge, subject skills, experience instudying this discipline, as well as the ability to use teaching methods. In the process of independent work, thestudent can: learn theoretical material from this discipline; consolidate knowledge of the theoretical materialin a practical way (performance of calculation and graphic works (CGW), control works (CW) etc.); useacquired knowledge and practical knowledge to analyze the situation and work out the right decision, to formone's own position, theory, model. Therefore, the student's independent work is the basis of the educationalprocess and forms such personality traits as: independence; creative attitude to work; responsibility; ability to54plan work; the ability to choose the method (methods) of the fastest and most rational solution to the problem (task); the ability to quickly and qualitatively make corrections in the execution process and analyze the work performed and build ways for further work.It should be emphasized that independent work is performed in a higher educational institution, dormitory, home environment, computer center without the direct participation of a teacher. But when performing the work, the student relies on his knowledge, skills, experience in the discipline, which he receives under the guidance of the teacher.
Formation of readiness in future professionals in vocational education for the application of modern information technologies in professional activities

The article addresses the pressing issue of preparing future professionals in the field of vocationaleducation for the use of modern information technologies in their professional activities. Theoreticalapproaches to defining the essence and structure of professional competence are explored, along with methodsand strategies for its formation.The importance of cultivating students' readiness for using modern information technologies in theirprofessional endeavors is substantiated, as this competence becomes crucial in today's information society.The impact of innovative teaching approaches, including the use of information and communicationtechnologies and active teaching methods, on the development of future professionals' readiness is analyzed.The practical component of preparing future professionals for the application of modern informationtechnologies in their professional activities is investigated, particularly the utilization of the LCMS Moodlesystem for creating customized educational courses.It has been established that the formation of future professionals' readiness for the application of moderninformation technologies in their professional activities is a complex and multifaceted process that requires acomprehensive approach and the involvement of all participants in the educational process. The proposalspresented in this article will contribute to the effectiveness of this process and provide future professionalswith the necessary knowledge, skills, and abilities for successful professional activities in the context of today'sinformation society.The prospects for further research will focus on improving methods and tools for assessing the readinessof future professionals in vocational education for the application of modern information technologies in theirprofessional activities.
Using Machine Learning and Routing Protocols for Optimizing Distributed SPARQL Queries in Collaboration

Due to increasing digitization, the amount of data in the Internet of Things (IoT) is constantly increasing. In order to be able to process queries efficiently, strategies must, therefore, be found to reduce the transmitted data as much as possible. SPARQL is particularly well-suited to the IoT environment because it can handle various data structures. Due to the flexibility of data structures, however, more data have to be joined again during processing. Therefore, a good join order is crucial as it significantly impacts the number of intermediate results. However, computing the best linking order is an NP-hard problem because the total number of possible linking orders increases exponentially with the number of inputs to be combined. In addition, there are different definitions of optimal join orders. Machine learning uses stochastic methods to achieve good results even with complex problems quickly. Other DBMSs also consider reducing network traffic but neglect the network topology. Network topology is crucial in IoT as devices are not evenly distributed. Therefore, we present new techniques for collaboration between routing, application, and machine learning. Our approach, which pushes the operators as close as possible to the data source, minimizes the produced network traffic by 10%. Additionally, the model can reduce the number of intermediate results by a factor of 100 in comparison to other state-of-the-art approaches.
Using the Anna Karenina Principle to explain why cause favors negative-sentiment complements

This paper sets out to explain why the verb cause tends to occur with negative-sentiment complements (cause damage, cause problems), as observed by Stubbs 1995. Formalized using causal models (Pearl 2000, Halpern &amp; Pearl 2005, Schulz 2011), the analysis hinges on the asymmetric inference patterns licensed by necessary versus sufficient causes in the common scenario where some variables in a causal model remain uncertain. States of certainty/uncertainty are captured by subdividing the traditional definitions of necessity and sufficiency into a local version (all other variables fixed at particular values) and a global version (all other variables unsettled). C causes E is argued to entail that that C is locally sufficient for E, and to implicate that C is at least possibly locally necessary for E. With this definition, it is shown that C causes E can be truthfully applied to more uncertain contexts when C is a globally sufficient cause of E rather than a globally necessary one. Cause thus tends to occur with outcomes depending on a single globally sufficient cause -- outcomes which are moreover shown to be negative in sentiment, reflecting the independently motivated “Anna Karenina Principle” that bad outcomes tend to require single sufficient causes, thus indirectly explaining why cause prefers negative-sentiment complements. The meaning and collocational sentiment of cause are used to illuminate one another. EARLY ACCESS
Deepfake

A deepfake is a video, audio or other content (e.g. image) that is completely or partially fabricated or created by manipulating existing, real content. Just as fake news calls into question the authenticity of real news, deepfakes also call into question the authenticity of real content. At the same time, a deepfake has many advantages in addition to its often mentioned dangers. Following a historical overview of deepfakes, the study describes these benefits and dangers, and then discusses possible legal responses after presenting tools for detecting deepfakes.
Creation of a system for automating repetitive actions performed on a computer

As technology advances and time saves time, more and more tasks are being automated, reducing the need for manual work. The process of automation is beneficial in computer-based work as well. This article analyzes automation systems for mouse clicks, their benefits, and their applications in various fields. Project problem. The automated click systems do not provide flexible, reliable, and convenient algorithmic functions for the use of complex marketing systems, mobile games, or a broader market segment. The objective of this work is to create a system that simulates mouse clicks, swipes, and text input, allowing for repetitive actions, creating and saving action execution algorithms. The theoretical part discusses similar automated systems, their advantages and disadvantages, text and image recognition algorithms, and popular libraries. The compliance of the systems with the ISO/IEC 9126 standard is analyzed. The programming language chosen for development is C++, Qt framework, the Tesseract library is used for text recognition, while the OpenCV library is used for graphic objects. The practical part presents the project of the created automated action system, the development process, the system itself, and the system's application possibilities. The system includes 10 control tools: text, color, and image recognition systems, mouse click, text input, and swipe simulation systems, automated action deletion, algorithm execution/stop, settings selection, menu collapse/expand, and system shutdown. The system allows for the creation of mouse click, swipe, and text input algorithms, defining conditions, creating action instructions, and sharing instructions on a forum. The system recognizes texts, colors, and images. Keywords: automating click operations, automatic actions system, automated optical character recognition, automatic clicker.
Communications: PhotonicsViews 5/2023

PhotonicsViewsVolume 20, Issue 5 p. 13-17 CommunicationsFree Access Communications: PhotonicsViews 5/2023 First published: 17 October 2023 https://doi.org/10.1002/phvs.202370504AboutPDF ToolsExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Volume20, Issue5October/November 2023Pages 13-17 RelatedInformation
Deep learning to predict breast cancer sentinel lymph node status on INSEMA histological images

BackgroundSentinel lymph node status is a clinically important prognostic biomarker in breast cancer and is used to guide therapy, especially for hormone receptor-positive, HER2-negative cases. However, invasive lymph node staging is increasingly omitted before therapy and studies such as the randomized INSEMA trial address the potential for further de-escalation of axillary surgery. Therefore, it would be helpful to accurately predict the pre-therapeutic sentinel status using medical images.MethodsUsing a ResNet 50 architecture pre-trained on ImageNet and a previously successful strategy, we trained deep learning-based image analysis algorithms to predict sentinel status on Hematoxylin/Eosin-stained images of predominantly luminal, primary breast tumors from the INSEMA trial and three additional, independent cohorts (TCGA and cohorts from the University hospitals of Mannheim and Regensburg), and compared their performance with that of a logistic regression using clinical data only. Performance on an INSEMA hold-out set was investigated in a blinded manner.ResultsNone of the generated image analysis algorithms yielded significantly better than random areas under the receiver operating characteristic curves on the test sets, including the hold-out test set from INSEMA. In contrast, the logistic regression fitted on the Mannheim cohort, retained a better than random performance on INSEMA and Regensburg. Including the image analysis model output in the logistic regression did not improve performance further on INSEMA.ConclusionsEmploying deep learning-based image analysis on histological slides, we could not predict sentinel lymph node status for unseen cases in the INSEMA trial and other predominantly luminal cohorts.
STUDY ON LEARNING AUTONOMY STRATEGIES FOR ENGLISH SPEAKING SKILLS OF HIGH-QUALITY FIRST-YEAR STUDENTS, SCHOOL OF FOREIGN LANGUAGES, CAN THO UNIVERSITY, VIETNAM

This study examined the challenges of self-studying English-speaking skills for first-year English studies majors at Can Tho University. The study aimed to answer questions such as: What self-study strategies can first-year students majoring in high-quality English at School of Foreign Languages at Can Tho University apply to develop speaking skills? The target audience was 96 English studies majors who have studied speaking and listening at Can Tho University. A questionnaire and an interview with 13 students were used to collect data for this study. In order to support the quantitative data, a questionnaire was used, while an interview was used for the qualitative data. This study aimed to find out the difficulties encountered by students, thereby proposing solutions to overcome them and improve the quality of their learning autonomy or self-studying English-speaking skills.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0088/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
SKILLS TO COPE WITH LEARNING STRESS OF STUDENTS IN CAN THO UNIVERSITY, VIETNAM

The research on the topic has systematized the theoretical basis of students' skills to cope with stress in learning. Currently, students face a lot of pressure and stress in their studies, so coping skills are an extremely important issue and need attention. The study presents the manifestations of skills to cope with stress in the learning of students of School of Education at Can Tho University (CTU), Vietnam. The research mainly uses a questionnaire survey method with 400 students from various fields of study, SoE, CTU. According to survey results, there were many manifestations of stress that students encountered. The survey results are the basis for finding the causes so students can plan and manage their time, set specific goals to find effective remedies, adapt and manage better emotions. From the current situation of the problem, the study has proposed measures to support students' skills to cope with stress in their studies. This study provides recommendations to deploy and apply the research results to Can Tho University lecturers and students as well.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0061/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Mask Detection App Uses Haar Cascade and Convolutional Neural Network to Alert Comply with Health Protocols

This study aims to identify the face of a person whether wearing a mask or not wearing a mask accompanied by an appeal to the importance of wearing a mask. The contribution of this paper to science is to provide an overview of the results of accuracy, precision, recall used by the method used with data that can be accessed by many people, so that it can be developed further or can be compared. This system uses two techniques, namely the classification of whether a person is wearing a mask or not using the Convolutional Neural Network (CNN) model. The architecture used is DenseNet-12 to detect human face objects. The data used has a total of 2332 data sets, 200 of which were retrieved manually as research objects, and the rest were obtained from Kaggle. All data is evaluated using the camera in real-time. The test results show that testing scenario one has the highest score with an accuracy of 85% while testing scenario two gets results of 80%, the precision value in testing scenario one gets results of 75%, and testing scenario two has results of 88%. Scenarios 1 and 2 also have the same recall value of 100%. Based on the data analysis, it can be concluded that the use of the Haar Cascade approach and the Convolutional Neural Network with the DenseNet-121 architecture produces good performance in the case of real-time detection of masked and non-masked facial objects.
IMPLEMENTATION OF PHONETIC PLACEMENT METHOD ON ARTICULATION DISORDER OF DOWN SYNDROME CLIENT

down syndrome is the most common chromosomal disorder that causes intellectual disability. Articulation disorder is one of the symptoms found in down syndrome. The condition is affected by macroglossia, muscle hypotonia, lack of control over lips and tongue and motor deficiency. The need for early intervention through speech therapy, physiotherapy, and occupational therapy as well as medical attention for various health problems that occur. Method: using Single Subject Research, with one group pretest-posttest design. The participant was a female aged 8:5 years with articulation disorder on /p/ at the start of a word and had never received speech therapy. Data collection was done through interviews with the client's parents, direct observation of the client, tests, and document studies. Speech therapy was conducted for 10 sessions with an emphasis on bilabial phonetic placement exercises. Perceptual assessment by comparing the ability to produce /p/ at the start of a word before and after therapy. Results: in the post speech therapy assessment, there was an increase of 60%. Conclusion: Interventions given to clients to help articulation skills through the phonetic placement method. After the intervention was carried out for 10 sessions, a post test was carried out on the client and there were changes in the client's articulation ability in this case. Suggestion: further research is needed so that it can be a reference in handling articulation disorders in down syndrome conditions.
Institutional Repository of Academic Institutions in Kazakhstan

This study aimed to analyze the institutional repository of academic institutions in Kazakhstan in promoting open access with a focus on its history and development. The specific objectives of the study were to analyze the registration year of the institutional repository, the type of contents, and the subjects found in an institutional repository of each academic institution in the Open Directory of Open Access Repository. Both quantitative and qualitative approaches were employed. Webometrics and content analysis were methods used in data collection and analysis. Data was collected directly from the Directory of Open Access Repository. Microsoft Office Excel 2010 was used to analyze quantitative data. The findings of the study reveal the inconsistency of the registrations of the academic institutional repositories to the Open Directory of Open Access Repository in terms of the year. On the other hand, findings reveal the registration of only eight institutional repositories into the Open Directory of Open Access Repository among hundreds of academic institutions in Kazakhstan in which only one institutional repository among the top five rated universities was observed. Furthermore, findings indicate the dominance of journal articles as the main type of content that almost all institutional repositories added to the Open Directory of Open Access Repository. Additionally, findings show the dominance of arts, science, technology, humanities, social science, and health and medicine as the main subjects added by the majority of institutional repositories added to the Open Directory of Open Access Repository. The study concludes that when compared with findings of similar studies from foreign countries, the registration of institutional repositories of academic institutions in Kazakhstan to the Open Directory of Open Access Repository is not encouraging and therefore limits open access. The study therefore, recommends more registration of institutional repositories of academic institutions to the Open Directory of Open Access Repository particularly the top-ranked universities in order to increase the visibility of scholarly works globally and therefore increase the reputations and prestige of the universities of Kazakhstan more importantly to promote open access. Also, priority should be given to theses and dissertations to be added to the institutional repositories as they also contribute to increasing the reputations of the academic institutions.