Reviewerly/exHarmony huggingface dataset:
‘I’m not the same person now’: The psychological implications of online contact risk experiences for adults with intellectual disabilities

Understanding online risk for adults with intellectual disabilities is important to improve digital inclusion in society. Perceptions of online risk can determine behaviours that obstruct or facilitate Internet access and use. This current study aimed to qualitatively investigate the psychological implications of online victimisation risks, including online negative comments and/or messages for adults with intellectual disabilities, as a novel area yet explored in-depth. Semi-structured interview data was collected remotely. Template analysis found there to be both negative and positive psychological implications experienced in response to online risks. Specifically, participants reported a wide range of negative emotions but also positive growth in the form of learning from the experience and increased confidence. The attribution of blame process in cybervictimisation can involve both blaming the perpetrator but also internalised victim-blaming which may be a consequence of the type of online risk (i.e. sexual risks). Implications for both practice and research are suggested.
How Do Students Perform and Perceive Parallel Corpus Use in Translation Tasks? Evidence from an Experimental Study

This study investigates how the utilisation of a parallel corpus affects the perceptions and behavioural patterns of students in translation teaching. The research employed a pre-test, training, post-test experimental design, focusing on an experimental group from a master’s degree translation programme. During a four-week workshop, these students received training on utilising a parallel corpus as a translation aid, whilst a control group received no such training. Quantitative analysis of the post-test outcomes indicated that there was no significant impact on students’ Chinese-English translation; however, it did reveal a noticeable effect on English-Chinese translation. To gain deeper insights, qualitative analysis was conducted on the translation products of all students during the post-tests. In addition, semi-structured interviews were conducted with four focal students to delve into their perceptions and behavioural patterns when utilising the parallel corpus. The findings demonstrate that the use of a parallel corpus enhanced students’ awareness of translation problems and strategies, leading to improved resourcefulness. Overall, students considered the parallel corpus a valuable tool in their translation practice. Based on the findings, the study also identified and discussed challenges associated with corpus design and pedagogical planning, which are inherent in corpus-assisted translation teaching.
Enhancing Early Detection of Blood Disorders through A Novel Hybrid Modeling Approach

Blood disorders are such conditions that impact the blood’s ability to function correctly. There is a range of different symptoms depending on the type. There are several different types of blood disorders such as Leukemia, chronic myelocytic leukemia, lymphoma, myelofibrosis, polycythemia, thrombocytopenia, anemia, and leukocytosis. Some resolve completely with therapy or do not cause symptoms and do not affect overall lifespan. Some are chronic and lifelong but do not affect how an individual lives. Other blood disorders, like sickle cell disease and blood cancers, can be even fatal. There needs to be a capture of hidden information in the medical data for detecting diseases in the early stages. This paper presents a novel hybrid modeling strategy that makes use of the synergy between two methods with histogram-based gradient boosting classifier tree and random subspace. It should be emphasized that the combination of these two models is being employed in this study for the first time. We present this novel model built for the assessment of blood diseases. The results show that the proposed model can predict the tumor of blood disease better than the other classifiers.
A Primer on Underwater Quantum Key Distribution

The growing importance of underwater networks (UNs) in mission-critical activities at sea enforces the need for secure underwater communications (UCs). Classical encryption techniques can be used to achieve secure data exchange in UNs. However, the advent of quantum computing will pose threats to classical cryptography, thus challenging UCs. Currently, underwater cryptosystems mostly adopt symmetric ciphers, which are considered computationally quantum robust but pose the challenge of distributing the secret key upfront. Post-quantum public-key (PQPK) protocols promise to overcome the key distribution problem. The security of PQPK protocols, however, only relies on the assumed computational complexity of some underlying mathematical problems. Moreover, the use of resource-hungry PQPK algorithms in resource-constrained environments such as UNs can require nontrivial hardware/software optimization efforts. An alternative approach is underwater quantum key distribution (QKD), which promises unconditional security built upon the physical principles of quantum mechanics (QM). This tutorial provides a basic introduction to free-space underwater QKD (UQKD). At first, the basic concepts of QKD are presented, based on a fully worked out QKD example. A thorough state-of-the-art analysis of UQKD is carried out. The paper subsequently provides a theoretical analysis of the QKD performance through free-space underwater channels and its dependence on the key optical parameters of the system and seawater. Finally, open challenges, points of strength, and perspectives of UQKD are identified and discussed.
Symbiotic Ocean Modeling Using Physics‐Controlled Echo State Networks

Abstract We introduce a “symbiotic” ocean modeling strategy that leverages data‐driven and machine learning methods to allow high‐ and low‐resolution dynamical models to mutually benefit from each other. In this work we mainly focus on how a low‐resolution model can be enhanced within a symbiotic model configuration. The broader aim is to enhance the representation of unresolved processes in low‐resolution models, while simultaneously improving the efficiency of high‐resolution models. To achieve this, we use a grid‐switching approach together with hybrid modeling techniques that combine linear regression‐based methods with nonlinear echo state networks. The approach is applied to both the Kuramoto–Sivashinsky equation and a single‐layer quasi‐geostrophic ocean model, and shown to simulate short‐term and long‐term behavior better than either purely data‐based methods or low‐resolution models. By maintaining key flow characteristics, the hybrid modeling techniques are also able to provide higher quality initial conditions for high‐resolution models, thereby improving their efficiency.
Covariate-guided Bayesian mixture of spline experts for the analysis of multivariate high-density longitudinal data

With rapid development of techniques to measure brain activity and structure, statistical methods for analyzing modern brain-imaging data play an important role in the advancement of science. Imaging data that measure brain function are usually multivariate high-density longitudinal data and are heterogeneous across both imaging sources and subjects, which lead to various statistical and computational challenges. In this article, we propose a group-based method to cluster a collection of multivariate high-density longitudinal data via a Bayesian mixture of smoothing splines. Our method assumes each multivariate high-density longitudinal trajectory is a mixture of multiple components with different mixing weights. Time-independent covariates are assumed to be associated with the mixture components and are incorporated via logistic weights of a mixture-of-experts model. We formulate this approach under a fully Bayesian framework using Gibbs sampling where the number of components is selected based on a deviance information criterion. The proposed method is compared to existing methods via simulation studies and is applied to a study on functional near-infrared spectroscopy, which aims to understand infant emotional reactivity and recovery from stress. The results reveal distinct patterns of brain activity, as well as associations between these patterns and selected covariates.
Design and Implement Agri Market Place using Block chain Technology

Agri Market placed is a digital platform for Agriculture services under multiple areas. It's outstanding performance in husbandry. It'll directly connect growers and guests through digital platform. It's platform for growers to connect directly with their buyers for dealing their products at better competitive rates. It'll be easy for the buyers to get agrarian information, to compare the rates of products at one place and get profitable deals. It's an occasion for managing business from anywhere. The digitalization and internet spread in pastoral areas allow growers and guests to gain access to information, services and requests. And connect with the buyer. It'll lower the cost of transportation for the merchandisers. growers can connect with Agri- Experts for agrarian problems, results, etc. Digitalization will make these effects easy and accessible for growers and guests. Development of nation depends on development of husbandry.
Farming Assistant Android Application Service

This survey paper offers a comprehensive overview of various technologies and methodologies utilized in smart agriculture Web Application. We explore recent developments in Web Application For Farmers, product Delivery, Java Based Web Application, and their application in farming Assistant Web Service. Additionally, We Will Develope Farming Assitant Web Service For Farmers &amp; agriculture market trends. Using This Application farmer can be connected directly to the customer and the selling can be done accordingly.
Effective human–object interaction recognition for edge devices in intelligent space

To enable machines to understand human-centric images and videos, they need the capability to detect human–object interactions. This capability has been studied using various approaches, but previous research has mainly focused only on recognition accuracy using widely used open datasets. Given the need for advanced machine-learning systems that provide spatial analysis and services, the recognition model should be robust to various changes, have high extensibility, and provide sufficient recognition speed even with minimal computational overhead. Therefore, we propose a novel method that combines the skeletal method with object detection to accurately predict a set of 〈 human, verb, object 〉 triplets in a video frame considering the robustness, extensibility, and lightweight of the model. Training a model with similar perceptual elements to those of humans produces sufficient accuracy for advanced social systems, even with only a small training dataset. The proposed model is trained using only the coordinates of the object and human landmarks, making it robust to various situations and lightweight compared with deep-learning methods. In the experiment, a scenario in which a human is working on a desk is simulated and an algorithm is trained on object-specific interactions. The accuracy of the proposed model was evaluated using various types of datasets.
Communicative abilities of high school students from the perspective of ecopsychological types of agent-environment interactions

The paper is devoted to an empirical study of the communicative abilities of high school students in the context of ecopsychological types of agent-environment interactions. The relevance of this topic is explained by the need to develop in high school students the ability for dialogic communication in joint activities. Ecopsychological typology of agent-environment interactions and types of personality orientation in communication were used as theoretical premises. The study was conducted on 85 students in the 10th and 11th grades of Vladimir (30 boys and 55 girls) using the “Personality Orientation in Communication” method. The results obtained from this sample show that in 92.6% of cases the communicative abilities of high school students represent monological types of personality orientation. While the dialogic orientation, corresponding to the agent-generating and agent-joint types of interactions, is presented in only 7.4% of cases. The majority of high school students (56.9%) showed an average level of development of such communicative ability as personality orientation in communication. High school students are most likely to have a subjective position in communication. It is expressed in the desire to use communication to manipulate others (manipulative type of orientation), which corresponds to the agent-object type of communicative interactions. At the same time, a significant portion of high school students are characterized by a desire to take an objective position in communication, submitting to the opinions of others (conformal orientation), which corresponds to the agent-subject type of communicative interactions.
Data Stewardship by Data Trusts: A Promising Model for the Governance of the Data Economy?

This chapter addresses a rapidly growing debate in data policy: the call for new intermediaries between data “givers” and “data takers” to mitigate and redistribute power asymmetries. Data intermediaries such as data trusts are thought to fulfil several functions: (a) to think and act about collective forms of data governance, (b) to protect vulnerable populations from abuse, (c) to provide tools to counter the powers of large platforms, (d) to unlock new markets for data usage. These possible functions, however, are not without tensions. This chapter starts by providing an overview of several proposals for data trusteeship. Then it introduces a substantive data trusteeship model from the biomedical sector that predates current data trusteeship. Further, new models such as personal information management systems (PIMS), data cooperatives and other forms of data stewardship are discussed. Finally, these are evaluated in terms of their opportunities, risks and challenges for data governance, as well as potential non-intended effects.
Stages of university digital transformation in studies of foreign researchers

As a significant part of University 4.0 strategy, digital transformation is currently unfolding along with the trends of internationalization and export of education. These processes actualize the experience of foreign universities on the issue of digital transformation. The aim of the study is to describe and systematize the knowledge about the stages of the university digital transformation as presented in studies of foreign researchers. The authors analyzed researches conducted at universities in Latin America, Spain, and Romania over the past 4 years. In the works studied, digital transformation is understood as a purposefully organized complex process, not limited to digitalization and informatization. The experience of digital transformation at foreign universities allows us to trace a number of directions: development of infrastructure, human capital, innovation and networking with partner organizations. The studied works promote the idea of the uniqueness of digital transformation process for each particular university. The practical significance of the paper is the systematization of knowledge about the stages of digital transformation in the works of foreign scientists.
Didactic potential of the textbook in preparing students for self-regulated cognitive activity

The paper proves the relevance of the discussed topic in the view of modern reality and our understanding of education as a process in which a student is an active participant in their educational activities. The authors’ attention is focused on such concepts as «self-regulated cognitive activity», «metacognitive skills» and «person-centered teaching methods» revealing their interdependence in the learning process. The significant developmental potential of the academic discipline “Foreign Language” makes it possible to organize “constructive, cognitive and creative activity” of students striving for self-development. The aim of the research is to analyze the didactic potential of the textbook in preparing students for independent self-regulated cognitive activity and illustrate it with the examples of specific tasks. The authors examine the main characteristics of a foreign language textbook developed for a non-linguistic university. One of the important characteristics of a foreign language textbook is its focus on the development of self-regulated cognitive activity through methodological apparatus of the textbook. In this context, much attention is paid to person-centered tasks included in the foreign language textbooks. Such tasks include mini-projects, round tables, conferences, discussions, role-plays, case studies, etc. The practical value of the research is determined by the opportunity given by the textbook to apply the results for the effective development of students’ metacognitive skills that form the basis of self-education. The tasks presented and analyzed in the paper allow us to draw a conclusion about the importance and necessity of using person-centered technologies in the educational process with the aim of preparing students for independent self-regulated cognitive activity through the development of metacognitive skills.
Ethical aspects of educational activity in the digital environment: future teachers’ views

The era of digital transformation makes it necessary for pedagogical staff to deal with participants in the educational process in the digital environment, which leads to the creation of new situations of interaction and raises questions of its organizing in the educational process. The authors note that currently there is no common generally accepted list of standards for professional teachers in the digital environment. The aim of the study is to determine the provisions of the Code of Professional Teaching Workers in the Digital Environment based on an analysis of the views of future teachers. As research methods, the authors used formal logic, inductive and deductive analysis, study and generalization of the experience of future generations as part of the analysis of the products of their pedagogical activities (case technology), as well as questionnaires and pedagogical observation. Data for analysis were obtained within the framework of the All-Russian Student Olympiad in Pedagogy “FORSIGHT PEDAGOGY”. The result of the study is the identification of three sections of the Code of Ethics for Professional Workers in the Digital Environment. The first section of the Code is devoted to the standards of self-presentation of pedagogical products in the digital environment, the second section is devoted to tasks related to the standards for the development and implementation of electronic educational resources, the third section concerns the standards for organizing interaction in the digital environment. These sections are structured in a traditional way, reflecting professional and universal values: the image of a teacher, communication, information, freedom, corporate culture. The appendix provides explanations to the paragraph of the Code section. The research also presents the principles of work organization in the digital environment: fairness; transparency; honesty; security and privacy. The material presented in this paper is useful for the teaching process in pedagogical universities, as well as for current teaching staff and future teachers for monitoring and managing their work in the digital environment.
Educational potential of subject training of the future teacher in the conditions of modern educational policy

The relevance of the problem of the educational potential of the subject training of the future teacher is due to the growing interest in the problem of educating the younger generation. Geopolitical transformations have updated the search for value-semantic regulations of educational work in educational organizations. The aim of the study is to substantiate the educational potential of the subject training of the future teacher in the conditions of modern educational policy. The research methodology is represented by an axiological and activity approach. The main methods used were: comparative analysis of pedagogical and methodological literature, normative legal acts and methodological documents regulating the educational process in educational organizations; generalization and synthesis of the results obtained; questioning and observation. Based on monitoring research data, a portrait of the modern younger generation is presented, as well as characteristics of the “Alpha” generation, that is, children born after 2010 (in accordance with the concept of Mark McCrind). The scientific novelty of the study includes the identified components of the educational potential of the subject training of the future teacher. The value of the study lies in substantiating the educational potential of the subject training of the future teacher in the conditions of modern educational policy. The practical significance of the study is expressed in the presentation of pedagogical developments in the implementation of the educational potential of the subject training of the future teacher using the example of the academic discipline “History of Russia”.
Features of professional career motivation of the applicants enrolled in undergraduate pedagogical programs

The preparation of pedagogical staff who meet the demands of a dynamically developing world is a strategic task that determines the well-being of the society and the state. One of the effective ways to address this task may be to attract motivated applicants to university programs in pedagogical education who are aware of the significance and multi-faceted nature of the teacher’s work, are oriented towards the personal development of students, and are ready to embrace modern technologies and approaches. In this regard, the research focused on identifying the motivations for choosing a pedagogical profession, including career orientations, is especially relevant. The aim of this research is to identify the features of motivation for a professional career among applicants admitted to pedagogical programs and to determine the relationship between their career orientations and socio-demographic and motivational-professional characteristics. The empirical methods of the study included E. Schein’s «Career Anchors» methodology and questionnaire surveys. The study involved 107 applicants and 107 second-year students at Smolensk State University. The results obtained indicate stable trends in the motivation for choosing a pedagogical profession, expressed in the career orientations of «service» and «job stability», which are predominant among the subjects of both studied groups. In addition, applicants who consciously chose a pedagogical profession demonstrate readiness for professional development and overcome difficulties. The indicators of applicants who have experience in pedagogical activities and plans for work in the field, as measured by the scales of «professional competence» and «challenge», are statistically higher than those of individuals with predominantly external motivation for enrollment. These research findings confirm the feasibility of pre-professional training for future teachers.