Reviewerly/exHarmony huggingface dataset:
STUDYING BIODIVERSITY IN THE PROCESS OF TRAINING FUTURE BIOLOGY TEACHERS

This article discusses the issues of studying biological diversity in the process of preparing future teachers of biology. Currently, issues of biodiversity conservation are considered at the global, regional and local levels. The intensification of the use of natural resources, the growing rate of environmental pollution in the 20th century, led to crisis phenomena and in many cases caused environmental disasters. Anxiety for the future of the planet today is recognized by society and today it becomes obvious that it is impossible to ensure the stability of the biosphere with technical solutions, since the current environmental crisis is largely due to the crisis of culture. The interaction of man with nature, the sustainability of life on Earth will be possible if the achievements of science, education and culture as a whole are focused on developing an understanding of nature as a universal and absolute value. The key role in overcoming the crisis and transition to sustainable development belongs to the education system. Science and education are the core of modern civilization. The unity of the educational and scientific processes is a necessary condition for the development of the individual and the harmonious training of a highly qualified specialist. Determining the scientific foundations and developing a methodology for studying the content of biodiversity in the process of preparing future biology teachers at the university. The study of the content on biodiversity in the process of preparing biology students at a university can contribute to the successful formation of knowledge and skills that contribute to the formation of professional competencies of a biology teacher. The survey of students allowed us to obtain results indicating a low quality of assimilation of basic knowledge, revealing the content and related to the concept of “biodiversity”. At the ascertaining stage of the study, in order to identify the state of the problem of the formation of biological students' knowledge about biodiversity, a control cross-section of knowledge was conducted. The results of the control cross-section of knowledge indicate that the knowledge about the levels of biodiversity and approaches to biodiversity conservation is the weakest among students. The majority of students assimilated knowledge, the control of which was carried out within the framework of the ascertaining experiment, and corresponded to levels II and III, which in turn confirms the relevance of the research problem.
The Current State and Legal Issues of Online Crimes Related to Children and Adolescents

There are two categories of online crimes related to children and adolescents: those committed by adolescents and those committed against children and adolescents. While recent trends in criminal law show consensus on strengthening punishment in cases of crimes against children and adolescents, there are mixed stances in cases of juvenile delinquency. One perspective emphasizes strict punishment, whereas the other emphasizes dispositions aligned with human rights. While various forms of online crime share the commonality in that the main part of the criminal act occurs online, they can be categorized into three types: those seeking financial gain, those driven by sexual motives, and those engaged in bullying. Among these, crimes driven by sexual motives are the most serious. Second-hand trading fraud and conditional (sexual) meeting fraud fall under the category of seeking financial gain and occur frequently. Crimes driven by sexual motives include obscenity via telecommunication, filming with discrete cameras, child and adolescent sexual exploitation material, fake video distribution, and blackmail/coercion using intimate images/videos ("sextortion"). These crimes lead to various legal issues such as whether to view vulgar acronyms or body cams that teenagers frequently use as simple subcultures or crimes, what criteria should be applied to judge whether a recorded material induces sexual desire or shame, and at what stage sexual grooming becomes punishable. For example, sniping posts, KakaoTalk prisons, and chat room explosions are tricky issues, as they may or may not be punished depending on the case. Particular caution should be exercised against the indiscriminate application of a strict punishment-oriented approach to the juvenile justice system, which is being discussed in relation to online sexual offenses. In the punishment case of online crime, juvenile offenders with a high potential for future improvement and reform must be treated with special consideration.
A high performance computing technology powered multimedia fusion model in university English translation

Various forms of materials, such as pictures, videos and texts, have rapidly brought the college English translation teaching model into the era of multimedia integration. This makes it difficult for English teachers to improve college English translation by using unique materials, so as to form their own unique teaching style. In view of this, a multimedia comprehensive English translation framework based on the combination of big data technology and multimedia teaching mode is proposed. At the same time, the idea of building the framework is introduced from two perspectives: the integration of big data technology and multimedia, and the integration of multimedia and English teaching process. Then, a recursive neural network algorithm based on ant colony optimization algorithm is proposed and tested. Finally, the simulation results show that the proposed method has significantly improved the accuracy and retention rate, indicating the effectiveness of the framework.
To what extent can smart contracts replace traditional contracts in construction project?

Purpose The smart contract provides an opportunity to improve existing contract management practices in the construction projects by replacing traditional contracts. However, translating the contracts into computer languages is considered a major challenge which has not been investigated. Thus, it is necessary to: (1) identify the obstructing clauses in real-world contracts; and (2) analyze the replacement's technical and economic feasibility. This paper aims to discuss the aforementioned objectives. Design/methodology/approach This study identified the flexibility clauses of traditional contracts and their corresponding functions through inductive content analysis with representative standard contracts as materials. Through a speculative analysis in accordance to design science paradigm and new institutional economics, the economic and technical feasibility of existing approaches, including enumeration method, fuzzy algorithm, rough sets theory, machine learning and artificial intelligence, to transform respective clauses (functions) into executable codes are analyzed. Findings The clauses of semantic flexibility and structural flexibility are identified from the contracts. The transformation of semantic flexibility is economically and/or technically infeasible with existing methods and materials. But with more data as materials and methods of rough sets or machine learning, the transformation can be feasible. The transformation of structural flexibility is technically possible however economically unacceptable. Practical implications Given smart contracts' inability to provide the required flexibility for construction projects, smart contracts will be more effective in less relational contracts. For construction contracts, the combination of smart contracts and traditional contracts is recommended. In the long run, with the sharing or trading of data in the industry level and the integration of machine learning or artificial intelligence reducing relevant costs, the automation of contract management can be achieved. Originality/value This study contributes to the understanding of the smart contract's limitations in industry scenarios and its role in construction project management.
Impact of Environmental and Social Governance on Bank Financial Performance: Evidence from Tunisia

Environmental and social governance (ESG) refers to a company’s duty to conduct its business in a way that supports social initiatives in addition to its primary objective of making a profit. There is a perception that financial success and social responsibility are at odds. Interestingly, they work best together. The current study examines ESG in Tunisian private sector banks. This study examines the relationship between corporate social responsibility (ESG) and financial performance and the impact of ESG on the financial performance of Tunisian private banks. The current study found that only ESG expenditures and activities are related to return on assets, whereas only ESG expenditures are related to return on equity. The current study found that only ESG spending and ESG activities are related to return on assets, whereas only ESG spending is related to return on equity. In addition, the analysis found that ESG spending was the only ESG variable that impacted financial performance in terms of both ROA and ROE. Keywords: environmental and social governance, financial performance, business. https://doi.org/10.55463/issn.1674-2974.50.8.18
Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, Imputation and Domain Shift

Clinical MR imaging is typically qualitative, i.e. the observed signal reflects the underlying tissue contrast, but the measurements are not meaningful when taken in isolation. Quantitative MR imaging maps are rarely acquired due to time and complexity constraints but directly measure intrinsic tissue properties, allowing for explicit tissue characterisation and MR contrast simulation. A machine learning network trained on quantitative MRI would circumvent the need to design contrast-agnostic models, minimise domain shift issues, and reduce complex data pre-processing. Such models would also be future-proof by design, anticipating new qualitative sequence developments and changes in acquisition parameters. In this work, we propose a new Bloch-equation-based physics-informed unsupervised network that learns to map qualitative MR data to their quantitative equivalents without the need for paired qualitative-quantitative data. Furthermore, we make the proposed model robust to missing data, enabling us to map any arbitrary set of qualitative data from a patient into quantitative Multi-Parametric Maps (MPMs). We demonstrate that the estimated MPMs are a robust and invariant data representation, are self-consistent, enable missing data imputation, and facilitate data harmonisation from multiple sites while bridging algorithmic domain gaps.
THE ROLE OF THE PERSONALITY-CENTERED APPROACH IN TRAINING STUDENTS IN MEDIA EDUCATION

The article studies the importance of personality-centered approach in the training of students in the process of media education. The review of domestic and foreign scientific literature is carried out, the essence, the concepts of personality-centered approach and its role in the educational process are considered. The definitions of key words occurring in the text of the article are given. The urgency of developing critical and creative thinking, independent search and self-expression, continuous education and competitiveness of students, which are the main competences in today's digital and information society, is emphasized. In the conclusion of the article the possibilities of achieving the goal of personality-centered approach in the training of students in the process of media education are presented.
DEVELOPMENT OF LOGIC IN CHILDREN WITH MENTAL RETARDATION

The article deals with the problem of logic development in children with mental retardation in a comprehensive school, as the modern education system is designed to create conditions that meet the capabilities and needs of students with special educational needs. The development of thinking, including logical thinking, plays a special role in the senior preschool and school age. With the beginning of school, thinking becomes one of the key aspects among other cognitive processes. The lack of consistency of logical thinking leads to the fact that the knowledge acquired by the child turns out to be incomplete, which complicates the learning process and reduces its effectiveness. The greatest difficulties arise in children with mental retardation, who have a lag in visual-figurative and verbal-logical forms of thinking. The practical significance of our research lies in the fact that we have developed a set of joint classes for this category of children, aimed at teaching methods of logical thinking (analysis, comparison, classification, analogy, generalization, establishment of causal relationships), the development of memory, attention, fine motor skills of hands, interest in solving puzzles.
Social and Science Students’ Perception on the Use of Google Form as an Online Assessment

The purpose of this study was to determine the perceptions of social and science students on the use of Google Form as an online assessment in Senior High School Ploso. The method used in this research is quantitative method which using survey design from cross-sectional survey to 120 eleventh and twelfth grade students of SMAN Ploso, of which 60 social students and 60 science students. Close-ended questionnaire was used as an instrument in this study. The results show that social and science students have mean scores that fall into the medium and high categories. These two categories can be indicated into the category of positive perceptions. So the conclusion is social and science students have positive perceptions of using Google Form as an online assessment in Senior High School Ploso.
THE USE OF LEARNERS’ "ONE NIGHT SPEED SYSTEM" STUDYING METHODS ON ENGLISH LESSON

One Night Speed System (ONSS) is the only a model of study method to complete any task in one night. Meanwhile, the expert stated that the distance between learners' study time should be in accordance with what is the response to understanding school material. This study was made to find out the answer to whether there is an effect of ONSS on learning outcomes, especially English. This research was conducted specifically for the student population in Indonesia which is limited to 71 (18 males and 53 female) learners from various levels of education. This study uses a descriptive quantitative approach. data analysis using logistic regression analysis method. Based on the questionnaire, it was found that most of the learners thought that there was success from the application of the ONSS learning method in understanding English material. The results showed that there was success in understanding English lessons in the use of ONSS to learn English without an impact on the decline in grades. Even so, the understanding of the material obtained is not optimal and has more impact on learners' health problems.
THE USE OF INFORMAL LANGUAGE IN THESIS PROPOSAL: AN ANALYSIS OF EFL UNIVERSITY STUDENTS’ WRITINGS

Informal languages are often used in ordinary and casual communication in both written and spoken forms, but it is inappropriate if individuals use informal language in academic writing. In some cases, students still use informal expressions in academic writing such as thesis proposals. This study identified the use of informal languages in students’ thesis proposals. Specifically, the study examined the elements of informality and types of informal languages that students frequently use when writing a thesis proposal. By using a qualitative method, this study analyzed 15 students’ thesis proposals. The findings found that there are seven elements of informality covering pronouns, conjunction, listing expressions, contraction, adverbs, segment fragment, and direct questions. The types of informal language that students frequently use are pronouns, conjunctions, and listing expressions. The findings further indicate that the use of informal language is not only at a morphological but also syntactic level.
WebQuest as a Media in Teaching Vocabulary for Young Learners

One example of a web-based learning media format that enables teachers to assign a task to students so that they can explore and analyze information is WebQuest. By gathering and analyzing data from the internet, WebQuest can assist students in providing fresh perspectives on issues. Higher-order thinking abilities like problem-solving and critical analysis might result from a new understanding of something. Additionally, young learners can learn vocabulary with WebQuest. Moreover, WebQuest is also a means to teach vocabulary material to young learners. The researcher tries to find out effective media to teach English to young learners.&#x0D; After conducting research on the WebQuest media for young learners using qualitative research design, the research appears with significant results. The data was collected in SDN 1 Gedongan Mojokerto by involving the English teachers as subjects of this research. The English teacher comes from the Lecturer of Islamic State University of Sunan Ampel Surabaya and the elementary school teacher to find out whether this media is effective or conversely ineffective. As the researchers have established the research that used the R&amp;D method or which is well known as Research and Development method, the result is beyond the expectation of using WebQuest for English teaching media. For instance, the teacher confirms that this kind of digital media is eligible in becoming a medium for young learners. This statement is based on what WebQuest media is for. In the material design, this WebQuest is very flexible in maintaining the contents shown, like it will be able to be embedded in the other kinds of online platforms of media to fulfill the content materials needed. The teacher has also given the statement of admiration whereas the media of WebQuest is presumed as a creative breakthrough in this digital era principally for young learners.&#x0D; WebQuest is one of the web-based electronic media that can be implemented in teaching vocabulary to young learners. By researching and analyzing the information, WebQuest aims to assist students in developing their critical thinking and problem-solving skills. All in all, the implementation of WebQuest can be said to be effective to be used for teaching and learning processes for 3rd-grade elementary school.
DEVELOPMENT OF LEADERSHIP QUALITIES OF STUDENTS IN HIGHER EDUCATIONAL INSTITUTIONS

The purpose of the study is to substantiate the directions of the psychological and pedagogical activities of university employees in developing the leadership qualities of students. To achieve this goal, the following tasks were solved in the work: identifying the degree of expression of students' leadership qualities; determination of directions for the development of leadership qualities of students by means of psychological and pedagogical practice. The study showed that the leadership qualities of students are mostly at the average level and need to be developed. As possible directions for solving the problem of developing students' leadership qualities, it is proposed to introduce special disciplines into the educational process, use technologies and methods for organizing educational activities aimed at enhancing students' leadership potential.
A Fast Scenario Transfer Approach for Portrait Styles Through Collaborative Awareness of Convolutional Neural Network and Generative Adversarial Learning

The fast scenario transfer for portrait styles has been a universal concern in the area of image processing. Conventionally, it was realized mostly by manual manipulation based on expertise experience, which costs a large amount of human labor. To fit the growing business volume in the era of Internet 4.0, it is supposed to investigate reliable autonomous workflow that generates portrait-style results via intelligent algorithms. Therefore, this paper proposes a fast scenario transfer method for portrait styles through collaborative awareness of convolutional neural network (CNN) and generative learning (GAL). On the one hand, a CNN structure is designed to make feature extraction towards the initial images, which can be used for following image generation. On the other hand, the GAL is utilized to generate new images with post-transferred scenario styles, so that the expected scenario style transfer results can be output by generating new images through long-term iterations. Especially, the loss function is designed by simultaneously considering local and global characteristics. Finally, the analysis and experimental results show that the correction process can be completed by injecting the extracted input face features into the feature maps of corresponding sizes in the generation process using a pre-trained feature extractor. Thus, the face conversion efficiency can be improved.
Cascade AdaBoost Neural Network Classifier: Analysis and Design

In this paper, we propose a cascade AdaBoost neural network (CANN) based on concepts and construct of AdaBoost neurons and cascade structure. Compared with AdaBoost, CANN can represent complex relationships between features. In CANN, representation learning is performed through AdaBoost, and the method of random selection features is utilized to encourage the diversity of AdaBoost neurons. Through the cascade structure, CANN has the context structure for complex feature representation. At the same time, in order to avoid the problem of feature disappearance, shortcut connection is used to add the previous information to the later nodes. Furthermore, particle swarm optimization (PSO) algorithm is utilized to optimize the structure of CANN, it can obtain the number of iterations to achieve better performance. Two types of CANN are proposed based — binary-classification CANN (BCANN) or multi-classification CANN (MCANN). The performance of CANN is evaluated with two kinds of data sets: machine learning data sets and atrial fibrillation data set. A comparative analysis illustrates that the proposed CANN leads to better performance than the models reported in the literature.
MORAL AND PSYCHOLOGICAL CLIMATE OF THE COLLECTIVE AS THE BASIC NUCLEUS OF ORGANIZATIONAL PSYCHOLOGY

This article examines the moral and psychological climate of the team as one of the most important elements of organizational psychology. The essence of the concept of moral and psychological climate is clarified, the problems of organizational culture are revealed. It is emphasized that the moral and psychological climate in the work collective combines the interaction of all factors of intra-collective life: the attitude of team members to their professional duties, horizontal and vertical relations in the work collective, as well as the well-being and psychological expectations of all team members, the activities of managers and the style of organizational psychology. The effectiveness of organizational activities depends not only on the optimal realization of the capabilities of individual individuals, but also on the moral and psychological characteristics of the team itself.