Reviewerly/exHarmony huggingface dataset:
Series Editorial The Sixth Issue of the Series on Machine Learning in Communications and Networks

The fourth (and final) call for papers of the Series on Machine Learning in Communications and Networks has continued to receive a great number of high-quality papers covering various aspects of intelligent communications. In addition to those published in the August issue, we include in this issue 16 articles submitted to the call. In the following, we provide a brief review of these articles according to their topics.
Utlilizing ICT in English Language Teaching and Learning from the Perspective of Afghan EFL Tearchers

This study researched to determine Afghanistan public universities teachers’ perceptions and challenges towards ICT utilization in teaching and learning the English language. The study used a quantitative design to collect data from 50 Afghanistan public universities’ teachers through a questionnaire which was analysed through descriptive statistics (percentage, mean, standard deviation and frequency). The results of the study indicated that Afghanistan public universities teachers’ perceptions were positive towards ICT utilization in teaching and learning of the English language in spite of some major, mild and minor challenges which preclude them from using ICT in teaching. The study suggested that further research should be conducted to find out the perceptions and challenges of both private and public universities’ teachers towards ICT use in teaching and learning the English language. Finally, the finding of this study is significant for MOHE, MOE, and MOICT to integrate a successful ICT system in Afghanistan, especially in educational institutions.
Discovering the Challenges of Machine Translation from Dari Language into English Language

Machine translation involves the use of unnatural computer programs to translate from one language into another language without the involvement of human translators. It is not just about substituting words in one language for those in another. Machine translation involves the use of computational linguistic techniques to recognize and translate whole phrases while also considering the complex structure and figures of speech that are unique to each language.The current paper aims at casting a new light and exploring the problems of Machine Translator as an aid used by the students of translation to render from Dari into the English language. Also, the study aims at finding out such problems encountered by these students who study translation subject. To a achieve the objectives of the study, students who were enrolled in the translation subject in the faculty of language and literature, English department for female students during the academic year 2020/2021 who were randomly selected by the researcher. A questionnaire with multiple choices was administered. The collected data were analyzed properly. The study has come out with spectra of results among them are the followings: The students who were the sample of the study faced various types of problems such as syntactic and semantic problems while using machine translation for rendering their given tasks. The rendition of target language used in the machine translator is inaccurate. And translation some specific cultural terms through a machine translation were out of context.
Development Status and Project Interpretation of the Robotics Wushu Competition

The Robotics Wushu Competition is a robotics competition that integrates intelligent robotics technology with traditional Chinese Wushu culture, maker spirit, and ideas. It is a highly confrontational and ornamental project in robotics competitions. This paper discusses the current situation, development status, and project settings of the Robotics Wushu Competition in the three major national competitions, focusing on the interpretation of several major projects, such as humanoid autonomous fighting, body-feeling humanoid fighting, wheeled autonomous fighting, visual confrontation, and unmanned aerial vehicle (UAV) confrontation. Finally, suggestions are proposed to support the regular holding and development of the Robotics Wushu Competition.
Digitizing and Printing the Burgert Brothers Ledger Books: A Case Study in High-Volume Facsimile Production.

The goal of digitization is typically to create digital assets which represent the physical object as a means of digital preservation or access. On occasion, projects require bringing those digital images back into the physical world in the form of a facsimile. While reproducing objects for display and/or use is a common and well-established practice, there are unique cases that require innovative applications of existing tools and methods. Working closely with NEDCC&#x2019;s book conservation lab, we imaged eight ledger books and then printed two copies of each to be rebound into near-identical, usable copies. Using this project as a case study, we will share some of the successes and hurdles we encountered while working through this large volume of material, with particular attention to deviations in image capture and processing workflows when producing bound facsimiles.
Real-time Object Detection and Tracking Using Surveillance Video

Face detection is about finding or losing a face in a provided image and, if any, reestablishes the position of the image and the features of each face.Safety and security are two of the most significant human characteristics.In this article we have suggested face detection and a visual system that will be able to process images very quickly while achieving the highest level of face detection.Facial recognition is the process of identifying a person using a personal status to identify a person's personality.In this project, we propose a personal verification system that uses face recognition and generates an unauthorized person warning.The alert will be in the form of an unauthorized image that will be displayed in the application.The discovery was made with instantaneous video taken from a camera of mobile or laptop.People and things are being filmed in this video using Open CV, YOLO and Face Net.When a person is found, the system identifies the person.His identity will be transformed to audio and introduced to the user.Similarly, locally found objects will be presented in audio format to the user. .
Reading Literary Texts as a Technique to Build Critical Thinking Skills in Linguistics Majors

Background: Radical changes of the present day life challenge the higher educational community to help the student develop into a personality ready to actively and creatively perceive information, to optimally apply the necessary type of mental activity, to analyze information, to have independent opinion and to defend it, to apply the acquired knowledge. This research investigates the efficiency of reading literary texts critically with the purpose of building critical thinking skills of students. Purpose: The article aims at defining ‘critical thinking, specifying the distinctive features of literary texts the criteria applied to select the texts to be an effective tool in building critical thinking skills and suggest a sample set of assignments to help students improve their critical thinking skills. Methodology relies on the critical analysis of the available research on the topic as well as of the authors’ experience in using literary texts to teach critical thinking. Results and discussion: Reading literary text has proved to build students’ critical thinking skills, help develop both personally and professionally. The authors of the article offer a practical set of assignments to build students’ critical thinking skills through reading literary texts. These tasks are based on the critical thinking model by Lindsay Clandfield and correspond to the traditional stages resorted to when working with the text (Before reading, While reading and After reading). Each of the defined stages focuses on utilising some of the six levels of Bloom’s taxonomy of cognitive learning objectives through activities that promote these cognitive processes.In further research, it is necessary to experimentally verify the effectiveness of the critical reading of the literary texts to build critical skills with university language students.
ON THE SELECTION OF SUITABLE BLOCKCHAIN TECHNOLOGIES FOR SUPPLY CHAIN MANAGEMENT

In the ever-expanding field of software engineering, the challenge of trust between different users and stakeholders of a software solution is becoming more prevalent.Software end users aim to be fully certain that the solution and/or service is in accordance with their requirements, with no deviations in quality of the selected or ordered solution and/or service.All actors in such a system are incentivized to secure and protect their own data, which is ultimately stored, processed and transferred within such a software system.In this paper, we demonstrate the applicability of an innovative approach to data storing and processing, and information exchange by implementing blockchain technologies, presented in a supply chain management case study.After selecting the appropriate technology, we focus on the security aspects which blockchain technology provides for our use-case.Finally, we test the model with transparency and information integrity hypotheses, network security challenges, and inappropriate actor behavior.
Perancangan Pintu Ruang Start Arena Pacuan Kuda Menggunakan Sistem Pneumatik

Starting gate door is a tool used horse racing arena that serves as a star or space to take off before darting run to racetrack. Doors starting gate consists of a variety of forms and working method, from the manual to which use the automatic system, such as; mechanical, hydraulic, electric and pneumatic systems. Starting gate door with pneumatic system is a tool that is used to open and close starting gate door, the way it works is that a pneumatic cylinder is installed on the door, then pneumatic system functions to open and close the door. Pneumatic system is a tool that uses air as an energy source, components required in the pneumatic system: compressor or air supply unit, or air processing unit (Filter, regulator, and lubrication), regulator or valve unit and the main thing is the pneumatic cylinder serves as a tool which converts compressed air energy into mechanical energy (linear motion of the cylinder rod). In this study aims to be able to get the shape of the starting gate door using a pneumatic system, which can be used as a reference in making the actual door, so that in its application on the racetrack it can be used easily and the time it takes to release the horse becomes faster and the time it takes to release the horse becomes faster. From design results, it is known load that will work on the pneumatic cylinder is 4703.5 N, the inner diameter 100 mm, diameter cylinder rod is 25 mm, total air consumption required is 4,6 liter, compressor discharge is 0,39 liter/second, and compressor power is 0,5 HP.
Perceived Assimilative Integration Approach in Assessment Indicator Practices of Enhancing the Soft Skills of Students in a New Normal

In every educational intent, a student's soft skills and the teacher's approach are equally crucial.This is particularly relevant in a school context.Soft skills are crucial and will be necessary for success in the information systems industry.The purpose of this study was to ascertain whether the Assimilative Integration Approach-self-regulation, self-validation, and self-enhancement-have any bearing on improving the soft skills of LSPU-SPCC students including interpersonal, collaborative, communication, and critical-thinking abilities.The study used the descriptive-correlational research methodology.228 undergraduates from the university's colleges, ranging from the first year to the fourth year, participated in this survey as respondents.The survey's items were adapted and modified from research and writings by Martin, S. (2022); Half, R. ( 2022); and Worksheets on Self-Regulation in the Classroom.The independent and dependent variable questionnaire was provided via Google Forms and sent through email.Tests of significance and descriptive statistics were employed by the researchers.The statistical tools employed in this study were frequency, percentage, weighted mean, and Pearson's r correlation coefficient.Cronbach alpha was utilized to establish the instrument's validity.The results showed that the assimilative integration strategy is well regarded by the respondents in terms of selfvalidation, self-regulation, and self-enhancement.The respondents have an affirmative impression of Selfvalidation, Self-Regulation, and Self-Enhancement on the Assessment indicator practices in Interpersonal Skills, Collaborative Skills, Communication Skills, and Critical Thinking Skills.This study identified the strengths and weaknesses of both the teachers and the students.
Introducing PRIMRE's MRE Software Knowledge Hub.

Code Catalog is a searchable online platform for discovery of useful (open-source or commercial) software packages, tools, codes, and other software products. To gather information about the existing MRE software landscape, a software survey is being performed, the preliminary results of which are presented herein. Initially, the data collected in the MRE software survey will be used to populate the MRE Software knowledge hub on PRIMRE, and future work will use data from the survey to perform a gap analysis and develop a vision for future software development. Additionally, as one of PRIMRE's roles is to support development of MRE software within project partners, a silo of knowledge relating to best practices has been gathered. An early draft of new guidance developed from this knowledge is presented.
The Effect of Text Interrogation Skills On the Achievement and Literary Taste of “Literature and Texts” Subject for The Fourth-Grade Secondary Students

The research aims at assessing (the effects of text inquesting skills on The achievement and literary taste of Literature and texts subject for students of the fourth scientific grade). To achieve this, the researcher adopted an experimental design that falls in the field of partially controlled experimental designs, and two final tests for the two research groups, one experimental and the other controlling. The researcher intentionally chose (Al-Mithaq Preparatory School for Boys) located in the district of Ramadi, which belongs to Anbar Governorate, and in a random way, he chose Division C to represent the experimental group of (35) thirty-five students, and Division (D) to represent the control group of (37) students. Thirty-seven students. The researcher made parity between the students of the two groups in the following variables: (intelligence test scores, chronological age calculated in months, parents’ academic achievement, and Arabic language scores in the first semester of the 2019-2020 academic year, as well literature and texts scores). In light of the results, the searcher presented recommendations and suggestions.
Opening Remarks: "NFTs: Future or Fad?"

What exactly are Non-Fungible Tokens, commonly known as NFTs? In order to understand NFTs, we need to first discuss blockchain technology. I will start with that and then transition into what an NFT is, and that way I can set the stage for some of the discussions and the panels that you’re going to hear later this morning.
A Novel Joint Entity Relation Extraction Based on Capsule Network and Part-of-Speech Weighting

With the development of science and technology, science and technology policies are increasing year by year. Science and technology policies are literature existing in the form of texts, which are characterized by rigorous structure, clear hierarchy, and standard language. Mining template information from policies can optimize data templates and improve the efficiency of recommending data to users. This paper proposes a joint entity relation extraction model based on capsule networks and part-of-speech weighting. In order to learn more feature information from word vector, capsule network based on bidirectional gated cyclic unit is used to replace the traditional convolutional neural network. In view of the phenomenon of imperfect semantic expression of word vector, part-of-speech features are added to enrich text information. Meanwhile, in order to solve the weight distribution problem of word features and part-of-speech features, an artificial fish swarm algorithm is proposed to optimize the two feature weights by iterative optimization, and the effectiveness of the proposed model is proved by experiments.
Research on The Dynamic Mode of Second Classroom Education in Higher Vocational Colleges Based on Trait Factor Theory

The second classroom in higher vocational colleges is an important channel to implement the fundamental task of moral education, improve the adaptability of vocational education and improve the quality of personnel training. Aiming at the current key problems of the second classroom education in higher vocational college, such as the fuzzy orientation of training objectives, the unidirectional supply of curriculum items, and the single implementation of training, this paper constructed the dynamic training mode of DLFL in the second classroom education, the dynamic evaluation mechanism of training objectives, the dynamic selection mechanism of curriculum items, and the multi-party collaborative dynamic education mechanism, thus forming a dynamic model of second classroom education based on the theory of trait factor. This is conducive to the development of students' commonness and individuality in the same direction, thus achieving everyone brilliant.
The Correlation between EFL Students’ Vocabulary Mastery and Their Reading Ability

This study examines the correlation between students’ vocabulary mastery and their reading ability. The purpose of the research is to know whether the correlation is evident between students' vocabulary mastery and their reading ability at the second semester of eight grade of SMPN 4 Pare in the academic year of 2020/2021. The researcher used a quantitative approach through correlational research. The researcher used correlational research design by vocabulary and reading tests to the second year students of SMPN 4 Pare. The researcher used a test that consists of 57 items as an instrument of this study. There were 34 students of the second year students of SMPN 4 Pare participating in this study. The study reveals that there is a strong significant correlation between students’ vocabulary mastery and their reading ability at r=.8769, p&lt;.005. This study demonstrates that the vocabulary mastery is important for reading ability as vocabulary will enhance reading comprehension. Pedagogical implication of this study is discussed.
Mood Detection using Sentiment Analysis

Since this pandemic has taken place the world is not in a great condition physically and mentally.People are witnessing all kinds of unexpected circumstances.Under such circumstances, people tend to break down.Mental health is like a catalyst to physical health; it can either boost up or tank the entire recovery mechanism of a person.Everyone should have a healthy mindset toward life.Mood Trend is a system which aids users' mindset or mood with small amounts of positive reinforcements.In this way, we make a significant impact on users' lives in the long run.The website will detect the sentiment behind the user's words and provide content to enhance their mood.The user can view this content material to lighten his/her temper or to control stress.Mood Trend also has an option where the users can upload a picture of themselves and the system will detect sentiment.
Grouping of the Second Wave of Covid-19 Infection Areas in East Java Province Using K-Means Clustering

The second wave of Covid-19 Pandemic Attacks that occurred in June 2021 resulted in a drastic number of fatalities. This is due to reduced community responsibility, a sense of caring for each other, and a sense of mutual protection, resulting in the loosening of the health protocols implemented. There needs to be proper mitigation to handle the Covid-19 pandemic properly, one of which is by handling cases in each region with a low level of severity. With this grouping, it can provide a decision on which areas must be available in mitigating the Covid-19 pandemic. For grouping each region, the K-Means Clustering method can be used. From these clusters, there is one area with a severity level, eight areas with moderate severity, and 29 areas with low severity.
THEORETICAL APPROACHES TO «PLACE-BASED EDUCATION» IN FOREIGN PEDAGOGY

The paper considers the Place-based education as an actual format of modern foreign education. Place-based education is based on strong and diverse (cultural, social, artistic, economic, environmental, etc.) connections with local community and area where students live. The relevance of the study is due to the importance of systematic understanding of Place-based education foreign practices. Abroad, such pedagogy is actively developing on a theoretical and practical level: there are scientific pedagogical schools in this area, as well as educational institutions, where education is organized on this basis. Analysis of scientific literature on the research topic shows the importance of Place-based education in foreign educational practices. At the same time, Ukrainian pedagogical science has not yet fully implemented this positive didactic experience. This determines the purpose of the study, which is to critically review the theoretical approaches of foreign scholars to the Place-based education. The research methodology contains general theoretical and special methods. Place-based education has significant potential in terms of giving students greater autonomy and greater opportunities, so that they could identify complex local and global problems and take responsibility for solving them. Foreign experience in implementing education on the basis of Place-based one is useful for the Ukrainian educational system in terms of European integration processes. The child-centred approach that underlies school education reform involves the personalization of learning, the transition to a competency model, the active use of project-based learning, and the strengthening of patriotic education. As Place-based education combines personalized, competency-based and project-based learning, as well as promotes national consciousness and patriotism, this educational format can be considered to be effective for modern Ukrainian education. We see the prospects for further research in the study of the possibilities of implementing the principles of Place-based education in the process of teaching Ukrainian literature. Key words: Place-based education, child-centred approach, personalized learning, project-based learning, competence learning, development of national consciousness.
Performance Evaluation of Laboratory Management System Based on BP Neural Network

Due to the lack of scientific performance evaluation methods and effective performance management, many tax authorities’ performance evaluation and performance management are not perfect. The BP neural network has strong nonlinear mapping, self-learning, and self-adaptive abilities. It has been widely used in the field of numerical prediction and pattern recognition. Based on the exploration of neural network, this paper combines BP neural network with performance evaluation and applies BP neural network to the performance evaluation of university laboratories. Data envelopment analysis (DEA) is mainly used to evaluate the performance of other fields. This paper selects key laboratories as the research object. The performance evaluation of university laboratories based on BP neural network is studied. The existing laboratory evaluation system is scientifically and reasonably revised, reasonable scientific methods are introduced, and a complete and scientific evaluation scheme suitable for the current evaluation requirements is explored. This paper perfects the evaluation method system, so as to scientifically and reasonably allocate research resources, which can maximize the enthusiasm of research departments.