Reviewerly/exHarmony huggingface dataset:
SOFTWARE AND HARDWARE STAND AS A MODERN TOOL FOR TEACHING STUDENTS TO CONFIGURE WIRELESS NETWORKS

Goal. Theoretical justification and development of a software and hardware stand in order to train future information security specialists in setting up modern wireless networks.&#x0D; Work methodology or method. The study is based on scientific regulations of the practice-oriented learning organization. The competence-based approach was used as its methodological base, theoretical (comparison, analysis, generalization, concretization, modeling) methods were used. The development and implementation of a software and hardware stand in the educational process was carried out at Tyumen State University in 2021-2022 with the involvement of students from the “Computer Security” direction of training.&#x0D; Results. The authors have developed and applied in the educational process a software and hardware laboratory stand that combines virtualization tools for software and hardware components of a computer network.&#x0D; The stand is used to study the modern infrastructure of a computer network which is used in enterprises and companies by students of the “Computer Security” specialization. It can also be used while teaching modern wireless networks configuration for students of the directions: “Mathematical support and administration of information systems”, “Computer science and computer technology”, “Software engineering”.&#x0D; On the basis of the stand a cycle of laboratory works was developed for senior students of the “Computer security” specialization as part of the study of the “Wireless computer networks security” discipline.&#x0D; Scope of results. The results of the study can be applied in the field of training future IT-specialists in the higher education system.
Development DEVELOPMENT OF HYDRAULIC COURSE E-MODULES TO INCREASE STUDENTS' LEARNING INTEREST MECHANICAL ENGINEERING EDUCATION

The development of printed module teaching materials in the form of hard copies into electronic-based modules with an android system or better known as Android-based E-Modules, with this electronic media it can attract students' interest in reading because it makes it easier for students without connecting to the internet continuously. This electronic module can also help students study independently and is a good choice for developing a module. Electronic modules are innovative media that can increase interest in learning. Digital E-Module development uses a research and development (R&amp;D) approach, which is a process used to develop and validate products. Data collection techniques in validating learning material products are carried out by distributing questionnaires. This research was designed in three stages, namely (1) Research in the form of planning and formulation of learning objectives. (2) Development in the form of making E-Modules (3) Formative evaluation and revision by material experts, media experts, and learning design experts as well as one-to one evaluation, small group, and field trial. With these three stages of research and development, it is hoped that the resulting E-Module is feasible to implement and can attract students' learning interest to produce student knowledge in hydraulics not only in the field of education but also in the industrial sector.
An Efficient Approach for Patterns of Oriented Motion Flow Facial Expression Recognition from Depth Video

Patterns of directed motion flow (POMF) from optical flow data is a novel feature illustration method that we have a tendency to propose in this paper to recognize the correct facial expression from facial video.The POMF encodes the directional flow data with increased native texture small patterns and computes completely distinct directional motion data.It demonstrates its ability to recognize facial data by capturing the spatial and temporal changes caused by facial movements through optical flow and allowing it to examine both domestic and foreign structures.Finally, the hidden Markoff model (HMM) is trained on the expression model using the POMF bar graph.The objective sequences are generated by using the K-means agglomeration method to create a codebook in order to instruct through the HMM. Over RGB and depth camera-based video, the projected technique's performance has been evaluated. The results of the experiments show that the proposed POMF descriptor is more effective than other promising approaches at extracting facial information and has a higher classification rate.
VLSI-Based Electronic Voting Machine

Voting in the paper was a time-consuming and erroneous process. Voting by electronic voting machine (EVM) is a simple, secure, and time-saving technology. The proposed paper consists of the parties assigned to the election can be represented in the box along with the total number of contestants participating in the election process. Ahdar Biometric is also included in the machine which is a key role paid to avoid fraudulent voters and to prevent fraud. In the voting process begins when a voter votes for a particular party through the adhar bio metric process after the buzzer will display a notification of who voted for the party displayed on the screen. After the completion of the voting process the votes are confirmed by comparing the votes cast with the contestants in their respective The proposed method is usefull for college level to all election boards and digital voting system for real-time applications ranging from community college elections to university level elections, as it has the advantage of being able to be re-programmed to perform different functions according to the user's wishes, which helps to reduce prevalence. expenditures.
External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems

There are many possible ways to configure database management systems (DBMSs) have challenging to manage and set.The problem increased in large-scale deployments with thousands or millions of individual DBMS that each have their setting requirements. Recent research has explored using machine learning-based (ML) agents to overcome this problem's automated tuning of DBMSs. These agents extract performance metrics and behavioral information from the DBMS and then train models with this data to select tuning actions that they predict will have the most benefit. This paper discusses two engineering approaches for integrating ML agents in a DBMS. The first is to build an external tuning controller that treats the DBMS as a black box. The second is to incorporate the ML agents natively in the DBMS's architecture.
THE EFFECT OF HEADSPROUT EARLY READING PROGRAM (HERP) ON STUDENTS READING COMPREHENSION WITH INTELLECTUAL DISABILITY (Pre-Experimental at SLB Negeri 5 Kota Bengkulu)

This study aims to determine the differences in cognitive learning outcomes (in the form of pre-test and post-test scores) of students in class VII as experimental class at SLB Negeri 5 Kota Bengkulu, by providing treatment using the Headsprout Early Reading Program (HERP). This type of research is Pre-Experimental with Quantitative approach. The population is seventh grade students of SLB Negeri 5 Kota Bengkulu in the academic year 2020/2021 with 6 students were taken as samples. Research data were collected through Pre-test and Post-test and documentation. The results showed a significant change in the experimental class with an average value of post-test 76.1 while in the score pre-test an average value of 56.1. The post-test results show that the Headsprout Early Reading program can improve students' Reading Comprehension. Thus, the Headsprout Early Reading Program (HERP) can be one of effective program to increase students‟ reading comprehension specially with Intellectual Disability.
Components of self-evaluation of young learners at primary school

Student self-evaluation is a phenomenon that increasingly occupies the thoughts and interests of both educational workers and society as a whole. This is due to the fact that the educational process has lost its characteristics of evaluation and assessment in well-known didactic relations where teachers are the only evaluators and students are the exclusive objects in the implementation of that process. Relying on the modest results of previous studies and research of studentself-evaluation, empirical research was prepared and conducted with the aim of determining the connection between the components of self-evaluation of young learners at primary school. The research included 208 young learners at primary school. The method of theoretical analysis and synthesis, the research method as well as the analytical-descriptive method were applied in the interpretation of the obtained results. Based on the obtained results, it was found that students assessed the representation of individual components of self-evaluation as fairly equally represented (M = 3.90) and a statistically significant correlation was found among the assessed components of self-evaluation of young learners at primary school. The results of the research imply the need to introduce not only student self-evaluation into teaching practice with the aim of improving student success, but also the democratization of relations in teaching, which raises various questions for further scientific research.
Conceptualization of the Absurd in Philosophy From Logic to Logic of Sense

The article discusses the question of what absurd is. At first, the absurd seems to exist in two forms — semantic and existential. Semantic absurd is a characteristic of a statement, whilst existential absurd is a characteristic of a person's existence. However, the article shows that these are not two different entities but one. In antiquity, absurdity was synonymous with the falsity of a conclusion. In modern philosophy, Husserl, in Logical Investigations, believes that absurd objects cannot be understood. However, Tertullian's line appears already in early Christianity, linking absurd with an act of faith. In the 19th century, Kierkegaard was its representative. IIn the middle of the 20th century, Camus showed that the attitude to life as absurd is an honest view of life without illusions, followed by Nagel. In the 20th century, the absurd appeared in art, where it expanded the boundaries of consciousness. The new philosophy of the absurd takes into account its connection with novelty, creativity, liberation. It breaks established ties and makes the familiar new. Soviet scientist B.F. Porshnev points out that a particular act of thinking, “deabsurdization”, underlies logic. J. Deleuze in Logic of Sense demonstrates that nonsense provides the “gift of meaning”, comprehension always begins with some bewilderment; common sense is unproductive, but nonsense makes thought work. Before Deleuze, the absurd was an anthropological phenomenon, howbeit Deleuze gave it an ontological status. The modern philosophy of the absurd may even turn out to be theology.
The teacher's opinion about professional development in the teaching of the subject musical culture

The question of a permanent, lifetime worth of studying and improvement through formal, nonformal, and informal education has, in the last couple of years, become a more popular topic in various areas, including the area of education and teachers' and professors' professional development. In modern societies, the professional development of teachers and professors is seen as one of the key segments of contemporary education development and the development of the entire society which lies on the basis of the educational system. Individual and group professional development of teachers is a dominant form of permanent education and professional development of teachers in our country. Considering the countless potentials of Music culture instruction, and its opportunity to influence different elements of young school-age children's development, this paper focused on examining the opinions and practical steps of teachers related to the individual and professional development in the area of Music culture. The key results of this research indicate that the participants have a mostly positive opinion towards both individual and group professional development in the field of teaching the subject Music culture. Their specific activities in the context of individual and group professional development indicate the difference between the opinions and behavior of the participants. Namely, despite the positive opinion towards individual and professional training in the field of teaching the subject Music culture, the respondents included in this research take part relatively rarely.
DEVELOPING ENGLISH READING TEACHING MATERIALS WITH ISLAMIC MATERIALS AND VALUES FOR STUDENTS AT ISLAMIC BOARDING SCHOOLS BASED ON CONTEXTUAL TEACHING LEARNING

Most of students in class XI at Darussalam Kepahiang Modern Islamic Boarding School, Bengkulu, encountered many problems in reading skill. The main problem was there were not appropriate teaching English reading materials yet that give big portion and opportunity for the students to read actively based on their contextual or daily experiences in order to support teaching and learning process of English reading in Islamic boarding school. The objective of this research was developing a set of supplementary teaching English reading With Islamic Materials and Values for the students based on Contextual Teaching and Learning. This research used Research and Development design with the procedures: conducting need assessment, developing supplementary materials, conducting expert validation, revising the materials, trying out the materials, and revising the materials. The researcher collected the data by using questionnaires, interviews, analyzing the syllabus, and field notes. The product of this research is four units of supplementary teaching English reading class XI at Pondok Pesantren Modern Darussalam Kepahiang, Bengkulu, Indonesia
COLLOCATION KNOWLEDGE AND READING ABILITY: A CORRELATIONAL STUDY AT 5TH SEMESTER STUDENTS

Collocations are always present in every reading. Reading comprehension followed by collocation mastery. The objective of this research is (1) to investigate the students’ lexical mastery of collocation (2) to investigate the students’ reading comprehension achievement (3) to investigate significant correlation between students’ lexical mastery of collocation and their reading comprehension achievement in English Department at 5th Semester of UIN Fatmawati Sukarno Bengkulu. Correlational study was applied as a method. There were 30 students taken as the sample of this research. The data were collected by using lexical collocation and reading comprehension achievement test. In analyzing the data, this research used Pearson Product Moment Correlation and SPSS 25. The result showed that (1) the score of lexical collocation test was 93.3 % with category is poor (2) the score of reading comprehension test was 66.7% with category is very poor. Finally, it can be conclude that the correlation between students’ lexical mastery of collocation and their reading comprehension is fair. It means alternative (H1) was accepted while null (H0) was rejected. Moreover, since low lexical collocation mastery can affect low reading comprehension achievement, it is hoped that the knowledge and ability of students on lexical collocation can be improved better by the teacher.
كفاءة قراءة الفهم للنص العربي لتلاميذ الفصل العاشر المدرسة الخيرية العالية الإسلامية بسيمارانج عند نظرة تصنيف باريت "TAKSONOMI BARRET"

This study aims to determine the reading ability and understanding Arabic texts in Class X MA Al-Khoiriyyah Semarang according to Barrett's taxonomy. This study reveals students' reading ability Arabic texts comprehension according to Barrett's taxonomy theory. The type of research used in this research is quantitative research, and the research method used in this study is descriptive quantitative research using observational methods. And data collection in in this study use a test (multiple choice test).The result of this research is the average percentage of students' reading comprehension ability of Class X MA Al-Khoiriyyah Semarang is 46% with almost medium category. The number of students with reading comprehension skills with a perfect score is 1 person or 3%, with a good score there is 1 person or 3%, with an adequate score there are 9 people or 30%, with a moderate score there are 3 people or 10%, with an almost average score there is 1 person or 3%, with a low score there are 2 people or 7%, with a very low score there are 3 people or 10%, with a bad score there are 6 people or 20%, with a very bad score there are 4 people or 13%.الكلمات المحورية: Reading; comprehension; Barret’s taxonomy;
A Corpus-based Discourse Analysis of Elected News Reports in CNN

This paper aims at investigating the discourse characteristics of the CNN news report about the COVID-19. As we all known, news reports are influenced by specific political, economic, social, cultural and other factors. These news reports often imply specific attitudes of the media, and have leading effect on the public. Based on the self-built small corpus, this paper analyzes the English reports of the COVID-19 in CNN media from the perspective of CDA, starting from the three functions of word list, key word clusters and collocation of the corpus. The study found that CNN news reports showed different discourse characteristics. The news reports in CNN pay more attention to the catastrophic nature of the pandemic and the pressure it has brought to the people.
Speaking Competence of University Students

Speaking is an important language skill to be developed continually. This language skill enables students to communicate in English appropriately. This study aims at analysing students’ speaking competence to attain explicit knowledge concerning students’ speaking ability. This study used an ex post facto research design. The data were collected by conducting a speaking assessment of the selected samples, and the data were descriptively analysed. This study found that students speaking competence were sufficient. Some students still needed help expressing their ideas using correct grammar and appropriate language functions. Therefore, the study implies that the students' speaking competence needs to be developed progressively in the classroom to attain a higher level of competency
Fruit Ripeness Classification System Using Convolutional Neural Network (CNN) Method

The increasing consumer demand in the fruit industry has also demanded that various sectors of the fruit processing industry be able to adapt to this situation. The demand for good quality and fresh fruit requires technological advances and supporting systems that can be used in the fruit processing industry to produce the best quality fruit. Referring to this, this study aims to detect the type and maturity of fruit using machine learning with the CNN (Convolutional Neural Network) method using the function of a camera that is integrated with the program algorithm. This research is a refinement of previous research that has been made at the university by increasing the ability to read objects based on color with different methods. In this programming language, Python also requires several additional libraries to carry out the object detection process, namely by using the cvzone library as the main library. This study shows that the detection of fruit and ripeness using the CNN method was successful in detecting the type and maturity of the fruit. In the design and trial of this research, it can run well according to the algorithm created by the researcher. The success rate and accuracy of the detection of the type and maturity of this fruit reach 90%.
NEED FOR HOLISTIC APPLICATION OF COGNITIVE READINESS FOR PROJECT VALUE CREATION: COMPLETE LEADERSHIP FOR PROJECT TEAM SUCCESS

The purpose of this paper is to set forth a research plan and call for volunteers to engage in the research, initiated in the Research Conference of 2021, on an important issue impacting projects and programs, but more importantly society [4]. Given the proliferation of articles, publications, surveys, and other communication modes about stressing one character expression of a capability or skill of the three intelligences over other character expressions of the myriad of capabilities and skills that comprise cognitive readiness, one needs to understand the impact of such communications. The focus on one expression such as empathy or passion can leave a team not understanding the objectives, necessary team interactions, and other aspects of team leadership and management necessary for delivery of outputs and benefits for the organization, the market and society. Understanding the impact of this focus on areas of team interactions; team development, including both personal and professional; performance and resilience of teams during times of crisis and disruption; and various personnel decisions will be vital to directing training, course development, team communications, and other personnel interactions
ARTIFICIAL INTELLIGENCE IN BLOCKCHAIN-PROVIDE DIGITAL TECHNOLOGY

Artificial intelligence technologies, today, are rapidly developing and are an important branch of Computer Science. Artificial intelligence is at the heart of research and development of theory, methods, technologies, and applications for modeling and expanding human intelligence. Artificial intelligence technology has three key aspects, namely data, algorithm, and computing power, in the sense that training an algorithm to produce a classification model requires significant data, and the learning process requires improved computing capabilities. In the age of big data, information can come from a variety of sources (such as sensor systems, Internet of Things (IoT) devices and systems, as well as social media platforms) and/or belong to different stakeholders. This mostly leads to a number of problems. One of the key problems is isolated data Islands, where data from a single source/stakeholder is not available to other parties or training an artificial intelligence model, or it is financially difficult or impractical to collect a large amount of distributed data for Centralized Processing and training. There is also a risk of becoming a single point of failure in centralized architectures, which can lead to data intrusion. In addition, data from different sources may be unstructured and differ in quality, and it may also be difficult to determine the source and validity of the data. There is also a risk of invalid or malicious data. All these restrictions may affect the accuracy of the forecast. In practice, artificial intelligence models are created, trained, and used by various subjects. The learning process is not transparent to users, and users may not fully trust the model they are using. In addition, as artificial intelligence algorithms become more complex, it is difficult for people to understand how the result of training is obtained. So, recently there has been a tendency to move away from centralized approaches to artificial intelligence to decentralized ones.