Reviewerly/exHarmony huggingface dataset:
PEDAGOGICAL FORMATION OF STUDENTS' COGNITIVE ACTIVITY IN AN ADAPTIVE EDUCATIONAL ENVIRONMENT

In modern education, the independent work of students is a necessary and important part of the educational process. Because it not only helps to consolidate the knowledge and skills acquired in practical courses but also contributes to the strengthening of cognitive activity. As a rule, one of the platforms for organizing independent work of students is an adaptive learning environment. The purpose of the study was to develop and implement a training course on the organization of independent work of students in an adaptive educational environment to increase the level of their cognitive activity. Research hypothesis: the level of cognitive activity of students increases when organizing independent work in an adaptive educational environment. By the purpose and hypothesis, the authors defined the objectives of the study: theoretical analysis of scientific literature, the study of the formation of cognitive activity of students, the study of the concepts of «pedagogical conditions» and «adaptive educational environment», diagnosis of the level of formation of cognitive activity of students; prepare students for independent work on the Moodle platform; analyze the results of the study. The proposed course included personalized adaptive learning. Second-year students of the specialty «Information Systems» of Aktobe Higher Polytechnic College in the course of mastering the subject «Mathematics» carry out training in this course. The statistics obtained indicate that the application of the developed training course in an adaptive personalized educational environment has a positive effect on increasing the level of cognitive activity of students. The data obtained by the authors can be used by teachers of other educational institutions in the process of forming the cognitive sphere of students.
IMPROVING THE STUDENT’S SPEAKING SKILL USING ROLE PLAY AT X CULINARY 1 CLASS OF SMKN 8 SURABAYA

This study is about the use of role play to improve students’ speaking ability in the case of the X Culinary 1 Class of SMKN 8 Surabaya. The purpose of this study is to find out whether the use of Role Play to improve the students’ speaking ability.The object of this study was the X Culinary 1 Class of SMKN 8 Surabaya. Total of 36 students from the X Culinary 1 Class of SMKN 8 Surabaya were involved in this study. I used questionnaires to collect the necessary data. The data were in the form of questions, from which the data analysis was done. In conducting the research, I observed the students’ activities in the role play.From the observation, it was found out that with the use of role play students were more encouraged to speak English, they more often spoke in English, were able to give feedback to other speakers, and used their vocabulary more in order to make their speaking alive.The result of the analysis showed that students spoke more bravely and fluently than before while using role play. I suggested some ways to teach speaking using role play; the teacher should recognize the students’ experience to make a more simple activity because if they have ever had such a situation they could do the activity easily. The teacher should guide the students to do role play and how to do it well. The teacher should make the students understand the situation in details to give good performance, and if the treatment has done in a long time, it will get a better result.
Exploring the self-image of early childhood teachers practicing the 2019 revised Nuri curriculum

본 연구의 목적은 2019 개정 누리과정을 실천하는 과정에서 유아교사가 인식하는 자기이미지를 탐색해봄으로써 유아교사의 전문성 지원 방향을 모색하고자 한다. 이를 위해 9명의 유아교사를 면담하였다. 그 결과로 첫째, 유아교사들은 개정 누리과정을 받아들이고 새롭게 적응해가는 실천자의 이미지를 가지고 있었다. 유아교사들은 경력이 있는 교사임에도 불구하고 새로운 교육과정을 이해하기 위해 스스로 해석하고 공부하며, 교육현장을 이끌어가고 있었다. 둘째, 유아교사들은 놀이를 지원하기 위해 많은 생각을 하며 다양한 역할을 배워나가는 학습자의 이미지를 가지고 있었다. 유아교사들은 개정 누리과정의 적용과 실행을 위해 놀이상황 매순간마다 판단하여 결정하고, 놀이상황에 필요한 다양한 역할을 만들어 수행하고 있었다. 셋째, 유아교사들은 교육주체들과 함께 협력하며 조율해가는 문제해결자의 이미지를 가지고 있었다. 유아교사들은 동료교사들과 놀이중심을 실천해 나가기 위해 함께 배우고 연구하고, 관리자와 학부모가 바라보는 놀이중심 교육과정의 인식의 차이를 조율하기 위해 노력하고 있었다. 이러한 결과는 유아교사들이 2019 개정 누리과정 실천시 피로감에 지치지 않도록 교육과정 전문가로서 현재의 노력을 격려하고 지속해갈 수 있는 지원 방안이 필요함을 시사한다.The purpose of this study is to seek the direction of professional support for early childhood teachers by exploring the self-image in the process of practicing the 2019 revised Nuri Curriculum. For this purpose, 9 early childhood teachers were interviewed. For a result, firstly, Early childhood teachers had the image of practitioners accepting ad newly adapting the revised Nuri Curriculum. Even though they were teachers with experience, early childhood teachers were leading the educational field by interpreting and studying on their own to understand the new curriculum. Secondly, early childhood teachers had the image of learners engaging in various roles while thinking a lot to support play. In order to apply and implement the revised Nuri Curriculum, early childhood teachers judged and decided every moment, and created and performed various roles necessary for the play situation. Thirdly, early childhood teachers had the image of problem-solvers who cooperated and coordinated with educational subjects. Early childhood teachers were working with their fellow teachers to learn and study to practice play-centered education, and to reconcile differences in the perceptions of the play-centered curriculum perceived by administrators and parents. These results suggest that there is a need for a support plan that encourages and sustains current efforts for curriculum experts so that early childhood teachers do not become fatigued when practicing the 2019 Revised Nuri Curriculum.
Implementation of PJOK Learning Media at the Elementary School Level During the COVID-19 Pandemic in Padang Jaya District North Bengkulu

This study aims to determine the application of learning media and the implementation of PJOK learning during the Covid-19 period in Padang Jaya District, North Bengkulu. This type of research is qualitative. The subjects of this study involved 7 PJOK teachers, and 35 elementary school students. Instruments and data collection techniques using observation, questionnaires and interviews. The data analysis technique uses data reduction, data presentation, drawing/conclusion and verification. Based on the results of research on PJOK learning media during the Covid-19 pandemic that used learning media with whatsapp/online and did not get a percentage of 50% of the medium criteria. Based on the results of research from PJOK teachers, 62.32% good criteria and 69, 21% good criteria for students. The results obtained through observation.
THE USE OF BENGALI IN ENGLISH LANGUAGE TEACHING CLASSES: PROBLEMS AND PROSPECTS

In Bangladesh students learn English for about twelve years, but the proficiency level they reach is very low. For this reason, we tried to investigate whether the use of first language – the Bengali, is helpful in teaching English in English Language Teaching (ELT) classes in Bengali Medium Schools and Colleges of Bangladesh. This study was conducted among the teachers and students of 10 schools and colleges in Dhaka city through questionnaire survey. It revealed that that Bengali plays an important role in ELT classes and most of the teachers and students consider it helpful in learning English.
Adversarial Artificial Intelligence in Insurance: From an Example to Some Potential Remedies

Artificial intelligence (AI) is a tool that financial intermediaries and insurance companies use in most cases or are willing to use it in almost all their activities. AI can have a positive impact on almost all aspects of the insurance value chain.: pricing, underwriting, marketing, claims management, after-sales services. While it is very important and useful, AI is not free of risks, including its robustness against cyber-attacks and so-called adversarial attacks. Adversarial attacks are conducted by external entities to misguide and defraud the AI algorithms. The paper is designed to provide a review of adversarial AI and discuss its implications for the insurance sector. The study starts with a taxonomy of adversarial attacks and presents a fully-fledged example of claims falsification in health insurance. Some remedies, consistent with the current regulatory framework, are presented.
Legislative Immunity in Nigeria and the Arrest of Senator Rochas Okorocha by the Economic and Financial Crimes Commission: Interrogating the Law against the Sentiments

It is not unusual in Nigeria for persons to engage in confrontation with law enforcement officers in Nigeria at the point of attempt to arrest them. This nation became saddled with this development on the evening of the 24th day of May 2022 when virtually all the television channels in Nigeria and the social media was agog with live pictures from the Abuja, Federal Capital Territory residence of His Excellency Senator Rochas Okorocha. The operatives of the Economic and Financial Crimes Commission (hereinafter referred to as EFCC) with the Nigerian Police in an attempt to arrest the senator encountered resistance as he refused to surrender himself to the law enforcement agents but rather locked all the entrances to his residence. Reasonable force was deployed and some part of the roof and ceiling was pulled off in order to secure access to before he was arrested. This paper seeks to question the propriety or impropriety of the destruction of his property in an attempt to arrest the Senator without warrant of arrest; to examine the immunity of the senator from arrest being a serving senator and a former Governor of a State under the Nigerian laws in comparison with what obtains in foreign jurisdictions.
Using Open Access Research Discovery Solutions Dimensions &amp;amp; the Open Research Library to Increase Research Outputs &amp;amp; Visibility for Midlands State University Members

TCC Africa, Knowledge Unlatched, and Digital Science held a workshop for the Midlands State University academic community on open acces research discoverability solutions, Dimensions and the Open Research Library.
Blogosphere as a New Means of Communication

The paper is dedicated to the blogosphere as a means of communication in the conditions of modern media reality. The author states, that the blogs perform not only a function of interpersonal communication, but also an information function, approaching traditional mass media in this vein. They allow to search, distribute and discuss information on any topic, and business or political information is no exception. In this regard, many companies and major players in the global and domestic markets have turned their attention to this tool for interacting with the audience, developing their own social networks and blog sites and actively cooperating with popular bloggers, experts and opinion leaders as part of image building and reputation improvement, countering information challenges, promoting services and products. It is noted that the blogosphere in comparison with traditional media has a number of advantages: mobility, dynamism, nativity, and quick feedback. The possibilities of the blogosphere operating in a unique hyper-genre – a symbiosis of textual, visual and audio information are discussed. At the end, the author substantiates the necessity of studying the role of the blogosphere in the system of business and political communication, the principles and mechanisms of its influence and development.
Logics for “Non-Logical” Argumentation

On Gilbert’s multi-modal theory of argumentation, the “logical” is but one among many modes of argument, including the emotional, the visceral (physical), and the kisceral (intuitive). Yet, I argue that, properly understood, the logical is not one mode among many. Rather, it is better understood as the uber-mode of argument. What Gilbert calls the “logical mode” of argument—a linear, orderly, highly verbalizable, way of arguing—is made possible only to the extent that the logic of some space of reasons has been articulated. The “anti-logical” penchant of multi-modal argumentation is not found at the object-level—in its countenancing “non-logical” modes of argument, but at the meta-level—in its resistance, as a mistaken embracing of the “logical” mode, to using the logics governing the different modes to self-regulate the course of our arguings.
Open science in Italy: lessons learned en route to opening scholarship 

We identify four lessons, selected on a subjective basis following the analysis of the slow uptake of open science in Italy, that may be useful to scholars and research policy makers engaged in promoting the uptake of open science culture and practices in their own countries .
impact of remittances on economic growth in Republic of Kosovo

In the following analysis, a much debated topic has been analyzed with regard to remmitances and economic growth in Kosovo. The study is based on time series, quarterly data over the period 2010-2021. The methodology applied in the study is based on utilization of unrestricted VAR model and Granger Causality/Block exogeniety Wald test, in order to explore the direction of the causality between variables. Results show that there is bi-directional causality between remittances and economic growth in Kosovo in the short-run.
Connecting research-related FAIR Digital Objects with communities of stakeholders

The last few years have seen considerable progress in terms of integrating individual elements of the research ecosystem with the so-called FAIR Principles (Wilkinson et al. 2016), a set of guidelines to make research-related resources more findable, accessible, interoperable and reusable (FAIR). This integration process has lots of technical as well as social components and ramifications, some of which resulted in dedicated terms like that of a FAIR Digital Object (FDO) which stands for research objects (e.g. datasets, software, specimens, publications) having at least a minimum level of compliance with the FAIR Principles. As the volume, breadth and depth of FAIR data and the variety of FAIR Digital Objects as well as their use and reuse continue to grow, there is ample opportunity for multi-dimensional interactions between generators, managers, curators, users and reusers of data, and the scope of data quality issues is diversifying accordingly. This poster looks at two ways in which individual collections of FAIR Digital Objects interact with the wider FAIR research landscape. First, it considers communities that curate, generate or use data, metadata or other resources pertaining to individual collections of FAIR Digital Objects. Specifically, which of these community activities are affected by higher or lower compliance of a collection's FDOs with the FAIR Principles? Second, we will consider the case of communities that overlap across FAIR collections - i.e. when some community members are engaged with several collections, possibly through multiple platforms - and what this means in terms of challenges and opportunities for enhancing findability, accessibility, interoperability and reusability between and across FAIR silos.
The ecology of FAIR Digital Objects, with special attention to roundtripping and benchmarking across the research ecosystem

The more findable, accessible, interoperable and reusable (i.e. aligned with the FAIR Principles outlined by Wilkinson et al. 2016) a Digital Object is, the more likely it is to interact with other entities in the research ecosystem and beyond. As long as the interoperability of these entities is not perfect (and it rarely is), a variety of interactions with a given Digital Object (e.g. split, merge, aggregation, transformation, backup, upload, download, or updates of content, metadata, storage or permissions) will mean a variety of representations of it, with some closer to the original than others. This has consequences for how the information about Digital Objects or contained in them can move around the research ecosystem. In some contexts, multiple representations of a given original (or aspects of it) might exist, creating the need to assess similarities, differences and relationships and to include them in curation, management, education, dissemination and preservation workflows. In other contetxts, the sole copy of a Digital Object might exist on a legacy system with limited alignment to the FAIR Principles, which creates the need for generating more readily accessible backup copies and to adapt some of them for inclusion in contemporary workflows. In this presentation, we will look at the suitability of sets of FAIR Digital Objects to serve as indicators for several aspects of FAIRness across different elements of the research ecosystem. These sets could involve existing FAIR Digital Objects (e.g. data management plans, as per Mietchen 2021) as well as new or hypothetical ones, and inclusion or exclusion with respect to a given set could be defined using a wide range of criteria pertaining to the ecosystem elements of interest. Taking inspiration from tracing, monitoring, benchmarking and roundtripping activities in various research fields, we will then explore how far, how well and how quickly such sets - or their content - can travel through multiple elements of the research ecosystem (e.g. different databases or software pipelines or different stages of the research cycle) and what this means in terms of potential improvements to the FAIR Digital Objects themselves, to the sets and their contents, to the way the FAIR assessments are implemented or to relevant elements of the research ecosystem.
Spread of Pseudo-laws of the Criminal Subculture through the Internet as a Manifestation of Cybercrime

The article is devoted to certain issues of the spread of pseudo-laws of the criminal subculture by modern technologies of the Internet. The special danger of this phenomenon is pointed out as one of the mechanisms for the recovery of crime, including one of the most dangerous types of crime, namely organized crime. The works of most scientists in the field of criminology, both in Soviet times and today, are mentioned, pointing to the social danger of the spread of criminal subculture. It is noted that scientific and technical progress, beyond all its usefulness for society, simultaneously facilitated the process of spreading criminal subculture among the most diverse strata of the population. It is indicated that before the spread of the World Wide Web, the main mechanisms for the spread of criminal subculture have been mass criminalization of the population by mass media and individual criminalization of people and groups by the carriers of pseudo-laws of the criminal community. In the conditions of the availability of the World Wide Web, the spread of these pseudo-laws by popularizing a criminal lifestyle in social networks and other Internet resources comes to the fore. The subculture «AUE» spread in the Russian Federation and on the territory of Ukraine is analyzed as a specific organization, the main goal of which is to achieve the goals of the criminal community, in particular — the conversion of new members of the organization who profess the pseudo-laws of the criminal community, the collection of funds to ensure the functioning of criminal communities. The issue of the feasibility of considering the spread of criminal subculture through Internet resources as one of the manifestations of cybercrime is raised. The concept of cybercrime and its individual types is analyzed. In particular, two types of perception of cybercrime are offered — in a narrow sense (criminal offenses committed in the field of functioning of computer technologies) and in a broad sense — criminal offenses associated with the use of the Internet for the dissemination of socially harmful information. It is summarized that the use of Internet resources to popularize the criminal subculture in a broad sense is one of the manifestations of cybercrime.
DOMINANT FACIAL EMOTION RECOGNITION USING MTCNN IN PYTHON

Dominant Facial emotion recognition (FER) is important for human-computer interaction in the field of medical sciences and behaviour description of human emotions.Accurate and robust FER by computer models remains challenging due to the complexity of human faces and variations in images such as different facial pose and lighting.Among all techniques for FER, deep learning models, especially Multi Task cascaded Convolutional Neural Networks (MTCNNs) have shown great potential due to their powerful automatic feature extraction and computational efficiency in detecting human emotions.this paper presents the study of facial emotions using (MTCNNs) which is a good algorithm in detecting the feelings of the sentient beings around the internet.Furthermore, the system recognizes six facial emotions happy, sad, disgust, fear, surprise, and neutral with the proposed model.
Label Propagation Based on Bipartite Graph

Abstract Label propagation is a popular graph-based semi-supervised learning framework. Its effectiveness depends on the distribution of prior labels. If there are no objects with prior labels in parts of classes, the label propagation has a very bad performance. To get rid of this deficiency, we propose a label propagation based on bipartite graph algorithm. In this algorithm, we try to learn a bipartite graph as exemplar constraints that reflect the relations between objects and exemplars representing all the classes to guide the learning process, instead of label constraints in original label propagation. We provide a method to produce high-quality exemplars from two channels representing the known classes (where some objects have prior labels) and the missing classes (where all the objects have no prior labels), respectively. Based on the generated exemplars, the exemplar constraints can be learned by using relations in the known classes to evaluate that in the missing classes. Compared to other existing versions of the LP algorithms , we use different experiments to prove that the proposed algorithm can effectively overcome the label missing problem in some classes.
Blockchain Technology with Deep Learning Adoptation for Various Applications: Vision and Future Opportunities

Abstract A recent study has successfully focused on Deep Learning and Blockchain technologies because of their tremendous potential for producing reliable decisions. The bulk of contemporary deep learning techniques implemented on centralized servers gives operational transparency, traceability, reliability, security, and reliable data provenance qualities. Deep Learning models are therefore susceptible to the single point of failure problem since they are trained using centralized data. The advantages of merging Blockchain with Deep Learning algorithms are examined in this paper. Additionally, current research is examined to determine the best strategy to combine these two technologies for the best outcome.