Analysis Of Literature Research Articles

학급긍정훈육법을 활용한 초등 교육과정 연계 인성교육 프로그램 개발

Objectives The purpose of this study is to develop a character education program linked to the elementary school curriculum using positive classroom discipline. Methods The research method used to conduct this study was the ADDIE model, a representative ISD model. A design strategy was derived through requirements analysis such as literature analysis, case analysis, and expert interviews, and a draft of the program based on the design strategy was developed. An expert formative evaluation was conducted using FGI. Based on the results of the expert formative evaluation the program was modified and supplemented to produce the final version of the program. The final version of the program was verified for validity in five categories. Results The results of this study are as follows. First, a program design strategy was derived through literature analysis, case analysis, and needs analysis. Second, based on the program design strategy, a draft character edu-cation program using PDC was designed. Third, the final version of the program was derived through expert for-mative evaluation of the draft program. Fourth, as a result of verifying the program with a feasibility test tool, it was overall evaluated positively that the character education program using PDC had explanatory power, usefulness, validity, understanding, and universality. Conclusions As a result of the above research, it is expected that the character education program linked to the elementary curriculum using PDC developed in this study will be a useful program that can be used immediately by teachers in elementary schools. However, since this program consists of content suitable for use in upper grades, it is necessary to develop a program for lower grades of elementary school with easier questions and activities.

초등학교 저학년 신체활동교육에 관한 담임교사의 경험과 시사점

Objectives This study explored the reality of physical activity education in the lower grades through the experi-ences of elementary school teachers and made suggestions for strengthening and revitalizing physical activity ed-ucation in the lower grades. Methods Four lower elementary school classroom teachers interested in and experienced in physical activity edu-cation were selected as participants in the study, and data were collected through in-dept interviews and analysis of literature and documents. The collected data were analyzed through Yin’s five-step analytical cycle, and the an-alyzed data were subjected to triangulation, participant verification, and peer review to enhance the validity of the study. Results In “Students Growing Up Physically Active,” teachers believed that lower elementary students love to be physically active and that diverse and active physical education can help them adjust to school life and grow physi-cally, mentally, and emotionally. However, in “Teachers who are overwhelmed by physical activity,” teachers felt burdened and challenged to teach physical activity due to a variety of factors. In “Teaching Physical Activity Necessary,” there was a lack of physical activity in the lower elementary curriculum and a lack of physical activity education in schools. Conclusions In order to strengthen and revitalize physical activity education in the lower grades of elementary school, we suggested strengthening the importance of basic movement competency education in the lower grades, implementing systematic physical education in the lower grades, improving awareness of physical activity education in the lower grades, and improving the educational environment.

A grasp of police research: characteristics of empirical research on police careers based on multiple scoping reviews

PurposeThis article provides an overview of the literature characteristics of empirical research on topics related to police careers from 2000 to 2021. Methodology, distribution in time and space and types of publication are presented. Recommendations for new research avenues are given.Design/methodology/approachEight scoping reviews on specific topics were carried out by criminology students under the close guidance and supervision of the first author, an academic researcher. The reviews followed the same procedure, enabling an overarching reflection.FindingsThe scoping reviews resulted in 179 unique publications for analysis. It appears that the topic of police professional competencies is studied more often in the field of police careers (n = 55), in contrast to informal learning in police training (n = 4) which was studied the least frequently. Since 2012, there has been a noticeable increase in the number of publications. Publications in scientific journals are by far the most common (n = 153), as is a quantitative research design (n = 123). All topics have been studied in Europe and North America.Research limitations/implicationsMore qualitative research and international dissemination of empirical results are recommended to gain a deeper understanding of police careers. As for the limitations, specific topics were selected, which limits the scope of the findings. Working with students for data collection has its benefits in terms of workload, but comes with potential limitations in terms of quality. It is recommended to conduct a screening using the four-eyed principle, as was done here by the first and second authors. Additionally, the review protocol (e.g. keywords and databases) has an influence on the outcome. Different choices may lead to different results.Originality/valueA comprehensive analysis of police career literature is made based on eight scoping reviews that followed the same procedure. It allows to study the literature in a broad sense rather than studying one topic in depth.

THE NUANCES AND DYNAMICS OF THE FILIPINO EXPRESSION BAHALA NA AS AN EXPERIENCE OF CULTURE AND FAITH

In the face of challenging situations, Filipino Catholics manifest, through the expression of bahala na, certain cultural traits that portray Christian values, such as an attitude of undying faith in God. However, at some point, the same expression also reveals attitudes that are inconsistent with the Christian message and practices. Through the review and analysis of different literatures that have studied bahala na, the paper articulates the contrasting nuances that give the expression ambivalent dynamics while, at the same time, presenting its significant influence on the faith of Filipino Catholics. So, in terms of the expressions negative cultural nuances, the paper examines some distortions that could perpetuate Filipino Catholics interpretation of the Gospel message, particularly on their understanding of Divine will, Divine providence, and Christian discipleship, which, consequently, affects how some of them treat their personal freedom and responsibilities as somewhat insignificant in alleviating themselves from suffering, and in attaining salvation. KEYWORDS: culture, experience, suffering, bahala na, Filipino

UNDERSTANDING DEEPFAKE TECHNOLOGY: IMPLICATIONS, CHALLENGES AND CASE STUDIES

The rise in deepfake technology has sparked serious worries about how it may distort the facts, sway public opinion, and jeopardise personal privacy. This study explores the complex world of deepfakes, looking at its technological underpinnings, social effects, and moral ramifications. This study investigates the diverse uses of deepfake technology, spanning from political misinformation operations to entertainment, through an analysis of academic literature and case studies. Moreover, it explores the difficulties that deepfakes provide for media legitimacy, dependability, and the accuracy of visual proof. This research delves into the legal and regulatory frameworks pertaining to deepfakes and suggests some approaches to alleviate their adverse effects. Finally, by fostering a thorough knowledge of deepfakes, our research hopes to enable people, decision-makers, and technology developers to properly navigate this quickly changing digital terrain.

The value attitude of a person to their psychological health: approaches to the definition

The article is devoted to identification of the main characteristics that constitute the concept “value attitude of a person to their psychological health” that was conducted on the basis of the analysis of domestic and foreign literature. Firstly, the characteristic “health” was highlighted which is a state of the body characterised by internal comfort providing various functions of vital activity, creating mental, social and physical well-being that forms the basis of life quality. Secondly, the authors defined the characteristic “psychological health” as a psychological state of internal well-being of a person which depends on the individual-personal characteristics of a human, on their views and attitudes, on the degree of satisfaction of their needs and implementation of their own life plans. It is also seen as the ability of a person to withstand various stresses, changes in life and the ability to recover after that. Thirdly, the characteristic “value” was outlined. It is ideological orientation of the individual which is formed by their ideas of ideals, moral standards of behaviour in everyday life and which determines the personal meaning. Fourthly, the characteristic “attitude” was also studied. It is a conscious, selective, experience-based psychological connection of a person with reality which is expressed in actions, reactions and experiences and is formed in the process of activity. The final characteristic of the considered concept was the “value attitude”. It is defined as a one-sided relationship between a subject and an object when the subject assess the objects of reality according to their certain moral criteria. Thus, on the basis of the analysis of domestic and foreign psychological and pedagogical approaches, the authors have formulated the definition of the concept “value attitude of a person to their psychological health”.

IoT Security Challenges and Solutions for Data at Rest: A Systematic Literature Review

The rapid expansion of the Internet of Things (IoT) has significantly transformed both consumer and industrial domains, driving the urgent need for robust security measures to protect data at rest. SLR investigates into the challenges associated with securing IoT devices and data, exploring the limitations of existing security frameworks and the intricate requirements imposed by global data protection regulations such as GDPR. The researcher review current approaches, including privacy-by-design principles and the deployment of symmetrical data protection frameworks, as highlighted in recent studies. Through a comprehensive analysis of literature and existing technologies, we identify critical gaps in the protection strategies and propose enhanced methods for ensuring data security and privacy in IoT systems. The findings emphasize the role of developers in integrating privacy considerations early in the development process and the impact of regulatory complexities on the practical implementation of data protection measures. Furthermore, the paper evaluates innovative security solutions, such as full stack security architectures and adversarial training models, assessing their effectiveness in real-world applications. This study aims to provide a deeper understanding of the IoT security landscape and to suggest actionable strategies for improving data protection practices across the IoT ecosystem

The Impact of ChatGPT on Finance Technology

With the rapid development of science and technology, financial technology has risen rapidly around the world and has become a key driving force in the financial field. The emergence of natural language processing models such as ChatGPT, has brought new possibilities to financial services. This paper mainly studies the role and impact of ChatGPT in financial technology. Focus includes its applications in customer service, investment advice and risk management, as well as the potential impact of these applications on financial operations and user experience. The purpose of the research is to gain an in-depth understanding of the application of ChatGPT in the financial field, and reveal its potential contribution to improving financial service efficiency. This study uses literature analysis, case analysis and data analysis. Through systematic combing of relevant literature, we can understand the development status of ChatGPT in financial services. The research of this paper found that ChatGPT has a significant influence in the field of financial technology. Its application in customer service can improve service efficiency and provide users with faster and more personalized services. However, to ensure information security and privacy protection, financial institutions need to carefully weigh the pros and cons when adopting ChatGPT technology.

Data augmentation and transfer learning for cross-lingual Named Entity Recognition in the biomedical domain

AbstractGiven the increase in production of data for the biomedical field and the unstoppable growth of the internet, the need for Information Extraction (IE) techniques has skyrocketed. Named Entity Recognition (NER) is one of such IE tasks useful for professionals in different areas. There are several settings where biomedical NER is needed, for instance, extraction and analysis of biomedical literature, relation extraction, organisation of biomedical documents, and knowledge-base completion. However, the computational treatment of entities in the biomedical domain has faced a number of challenges including its high cost of annotation, ambiguity, and lack of biomedical NER datasets in languages other than English. These difficulties have hampered data development, affecting both the domain itself and its multilingual coverage. The purpose of this study is to overcome the scarcity of biomedical data for NER in Spanish, for which only two datasets exist, by developing a robust bilingual NER model. Inspired by back-translation, this paper leverages the progress in Neural Machine Translation (NMT) to create a synthetic version of the Colorado Richly Annotated Full-Text (CRAFT) dataset in Spanish. Additionally, a new CRAFT dataset is constructed by replacing 20% of the entities in the original dataset generating a new augmented dataset. We evaluate two training methods: concatenation of datasets and continuous training to assess the transfer learning capabilities of transformers using the newly obtained datasets. The best performing NER system in the development set achieved an F-1 score of 86.39%. The novel methodology proposed in this paper presents the first bilingual NER system and it has the potential to improve applications across under-resourced languages.

Concept of Smart Specialization as a Strategy for Sustainable Regional Development

The subject of this paper is a review of previous research on smart specialization as a concept which is one of the strategies for sustainable development of regions. Innovations are considered as one of the key drivers of growth. Recognition of innovation which was central point of strategy ‘Europe 2020’ where ‘smart specialization’ needs to make possible for the regions and countries pursue those industries in which they hold a comparative advantage and which have basis for further innovations. The main purpose of this paper is defining smart specialization and its role on the regional development. Analysis and comparison of the scientific literature and applications of smart specialization were used as methods for this paper. The main findings of this paper show that the basis of smart specialization are innovation, knowledge and research which are pillars of smart, sustainable development. Smart specialization means identifying the unique characteristics and potential of each country and region, with the aim of achieving competitive advantages and excellence. It also includes strengthening regional innovation systems, increasing knowledge exchange and spillover the benefits of innovation throughout the regional economy. By comparison method of the scientific literature this paper will contribute to the development of theoretical background of smart specialization as a strategic concept formed by a group of European Union experts with the aim of reducing the gap in competitiveness between the European Union and the United States, which arises from the lower economic and technological specialization of European countries, especially at the regional level. Also it will promote smart specialization as a concept that can contribute to strengthening regional innovation policy and regional development.

The Development of Creative Potential as a Condition for the Formation of the Competitiveness of the Future Specialist

Relevance. New requirements for the training of students in higher educational institutions are that acquiring only specialized professional knowledge is no longer sufficient for a future competitive specialist. It is necessary to develop such individual abilities that significantly reveal his individuality and creative potential.Goal of the work. To determine pedagogical conditions that contribute to the development of the creative potential of future specialists as a factor in the formation of their competitiveness.Objectives of the research: Based on the analysis of psychological and pedagogical literature, to find out the essence and content of the basic concepts of the study “personal competitiveness,” creative potential”; to justify the pedagogical conditions for the development of the creative potential of future specialists in the sociocultural space of higher education.Methodology. During the scientific search, the following research methods were used: systemic, analysis, synthesis, induction, deduction, generalization, comparison.Results. Based on the analysis of scientific sources, the concept of individual competitiveness is defined as a necessary set of professional and personal qualities that contribute to the possession of competitive advantages in current sociocultural conditions. The pedagogical conditions for the development of creative potential are determined as conditions for the formation of the competitiveness of a future specialist.Conclusions. Preparation for identifying and developing creative potential is possible provided that a creative learning environment is created that stimulates students' creative activity and students' motivation for creative activity.

A STUDY ON IMPACT OF DIGITAL MARKETING IN BRAND AWARENESS

This study investigates the influence of digital marketing strategies on brand awareness among consumers. Through a comprehensive review of literature and empirical analysis, the study reveals the significant role played by various digital marketing channels such as social media, search engine optimization, and content marketing in enhancing brand visibility and recognition. The findings suggest that companies leveraging digital marketing effectively experience higher levels of brand awareness compared to those relying solely on traditional marketing approaches.

"Incorporating large language models into academic neurosurgery: embracing the new era".

This correspondence examines how LLMs, such as ChatGPT, have an effect on academic neurosurgery. It emphasises the potential of LLMs in enhancing clinical decision-making, medical education, and surgical practice by providing real-time access to extensive medical literature and data analysis. Although this correspondence acknowledges the opportunities that come with the incorporation of LLMs, it also discusses challenges, such as data privacy, ethical considerations, and regulatory compliance. Additionally, recent studies have assessed the effectiveness of LLMs in perioperative patient communication and medical education, and stressed the need for cooperation between neurosurgeons, data scientists, and AI experts to address these challenges and fully exploit the potential of LLMs in improving patient care and outcomes in neurosurgery.

Speech, voice, and language outcomes following deep brain stimulation: A systematic review.

Deep brain stimulation (DBS) reliably ameliorates cardinal motor symptoms in Parkinson's disease (PD) and essential tremor (ET). However, the effects of DBS on speech, voice and language have been inconsistent and have not been examined comprehensively in a single study. We conducted a systematic analysis of literature by reviewing studies that examined the effects of DBS on speech, voice and language in PD and ET. A total of 675 publications were retrieved from PubMed, Embase, CINHAL, Web of Science, Cochrane Library and Scopus databases. Based on our selection criteria, 90 papers were included in our analysis. The selected publications were categorized into four subcategories: Fluency, Word production, Articulation and phonology and Voice quality. The results suggested a long-term decline in verbal fluency, with more studies reporting deficits in phonemic fluency than semantic fluency following DBS. Additionally, high frequency stimulation, left-sided and bilateral DBS were associated with worse verbal fluency outcomes. Naming improved in the short-term following DBS-ON compared to DBS-OFF, with no long-term differences between the two conditions. Bilateral and low-frequency DBS demonstrated a relative improvement for phonation and articulation. Nonetheless, long-term DBS exacerbated phonation and articulation deficits. The effect of DBS on voice was highly variable, with both improvements and deterioration in different measures of voice. This was the first study that aimed to combine the outcome of speech, voice, and language following DBS in a single systematic review. The findings revealed a heterogeneous pattern of results for speech, voice, and language across DBS studies, and provided directions for future studies.

Women's perspectives on mHealth behavior change interventions for the management of overweight, obesity, or gestational diabetes: A qualitative meta-synthesis.

mHealth interventions play an increasingly important role in health behavior change for gestational diabetes or peripartum obesity management. This qualitative systematic review and meta-synthesis aims to explore women's perceptions of mHealth behavior change interventions for gestational diabetes and/or overweight/obesity management during pregnancy and the postpartum period. Cumulative Index of Nursing and Allied Health Literature (CINAHL), Cochrane, Excerpta Medica Database (EMBASE), Medical Literature Analysis and Retrieval System Online (MEDLINE), and Psychological Information Database (PsycINFO) databases were searched using a Sample, Phenomenon of Interest, Design, Evaluation and Research type (SPIDER) concept framework through to February 2024. Included studies were quality assessed using the Critical Appraisal Skills Programme checklist. Study findings were evaluated using reflexive thematic analysis and GRADE-Confidence in the Evidence from Reviews of Qualitative Research (CERQual) checklist. We identified 29 studies, representing 604 women's views from one upper middle-income and nine high-income countries. Two themes were generated: mHealth as a supportive tool; and mHealth as a personalizable tool. Women highlighted the importance of self-monitoring, information trustworthiness, peer support, motivational tools (goal setting, risk awareness, and problem solving) and convenience in achieving behavior change using mHealth technology. They suggest mHealth programs incorporate these elements to support user engagement and improved health outcomes. Understanding what women want as mHealth users is particularly important for effective interventions in gestational diabetes, weight management, and chronic disease prevention. Creating a better, more woman-centered experience by addressing central engagement issues should result in improved maternal health outcomes.

Green HRM Practices

Green Human Resource Management (Green HRM) integrates environmental sustainability into core HR practices. It goes beyond just business operations and promotes eco-friendly practices throughout the organization. Green HRM encompasses the entire employee lifecycle, from attracting environmentally conscious talent during recruitment to influencing employee behavior through training and performance management. By effectively implementing Green HRM practices, organizations can not only reduce their carbon footprint through practices like reduced paper usage or energy-efficient buildings, but also cultivate a more environmentally responsible workforce. This can lead to significant benefits like cost savings and attracting top talent who value sustainability, ultimately enhancing the organization's reputation. However, challenges like initial investment costs or employee resistance can arise during implementation. Green HRM has emerged as a critical concept in recent times, seamlessly integrating ecological management with practices in business, urbanization, and industrialization. Its core focus lies in managing human resources effectively while ensuring good working conditions. Green HRM procedures are strategically designed to minimize the carbon footprint of both individual employees and the organization itself. This extends beyond just carbon reduction, as Green HRM also plays a vital role in encouraging employees to conserve resources, participate in waste management initiatives, and contribute to pollution control efforts. The growing importance of Green HRM necessitates increased awareness among companies regarding its multifaceted capabilities. Striking a balance between ecological sustainability and effective human resource management has become crucial. Businesses are now recognizing the significance of considering not just financial gains, but also the social and environmental impacts of their operations to ensure long-term sustainability. This growing recognition has recently captured the attention of academic researchers and practitioners, leading to a surge in scholarly studies on the subject. This research paper delves into Green HRM practices within organizations, drawing insights from a comprehensive analysis of current literature. The aim is to explore the importance of Green HRM concepts, practices, and strategies while acknowledging the challenges faced by businesses and other organizations in implementing them. By utilizing established research methodologies, the study will observe, collect, and analyze contemporary research on Green Human Resource Management, providing valuable insights into this evolving field.

A literature review of user privacy concerns in conversational chatbots: A social informatics approach: An Annual Review of Information Science and Technology (ARIST) paper

AbstractSince the introduction of OpenAI's ChatGPT‐3 in late 2022, conversational chatbots have gained significant popularity. These chatbots are designed to offer a user‐friendly interface for individuals to engage with technology using natural language in their daily interactions. However, these interactions raise user privacy concerns due to the data shared and the potential for misuse in these conversational information exchanges. Furthermore, there are no overarching laws and regulations governing such conversational interfaces in the United States. Thus, there is a need to investigate the user privacy concerns. To understand these concerns in the existing literature, this paper presents a literature review and analysis of 38 papers out of 894 retrieved papers that focus on user privacy concerns arising from interactions with text‐based conversational chatbots through the lens of social informatics. The review indicates that the primary user privacy concern that has consistently been addressed is self‐disclosure. This review contributes to the broader understanding of privacy concerns regarding chatbots the need for further exploration in this domain. As these chatbots continue to evolve, this paper acts as a foundation for future research endeavors and informs potential regulatory frameworks to safeguard user privacy in an increasingly digitized world.

Big data in transportation: a systematic literature analysis and topic classification

AbstractThis paper identifies trends in the application of big data in the transport sector and categorizes research work across scientific subfields. The systematic analysis considered literature published between 2012 and 2022. A total of 2671 studies were evaluated from a dataset of 3532 collected papers, and bibliometric techniques were applied to capture the evolution of research interest over the years and identify the most influential studies. The proposed unsupervised classification model defined categories and classified the relevant articles based on their particular scientific interest using representative keywords from the title, abstract, and keywords (referred to as top words). The model’s performance was verified with an accuracy of 91% using Naïve Bayesian and Convolutional Neural Networks approach. The analysis identified eight research topics, with urban transport planning and smart city applications being the dominant categories. This paper contributes to the literature by proposing a methodology for literature analysis, identifying emerging scientific areas, and highlighting potential directions for future research.

ХАРАКТЕРИСТИКА МАРШРУТНОЙ СЕТИ ОБЩЕСТВЕННОГО ТРАНСПОРТА ГОРОДА БАРНАУЛА

The development of a city is closely related to the state of its transport system and the spatial organization of urban public transport. In general, a number of transport problems can be noted for the city related to the waiting time for transport, the provision of various areas with urban public transport routes, etc. These problems have become particularly relevant in the 21st century and have become very actively discussed. The article is devoted to the analysis of the route network of the city of Barnaul, as well as the number of rolling stock on the routes. Particular attention is paid to routes where there is a shortage of rolling stock. The purpose of the work is to analyze the current state of the route network of the city of Barnaul and identify problems. The main methods were literature analysis, as well as monitoring public transport using the 2GIS service. In general, it can be noted that the city’s public transport runs stably and interruptions occur due to weather conditions (in particular freezing) or traffic situations (congestion in the morning and evening); there is also a dependence of preferential traffic to the city center and from the city center to depending on the time of day.

Digital Democracy: Exploring the Potential and Challenges of SIPOL in the 2024 Indonesian Election

This research discusses the use of the SIPOL application as a form of digital transformation carried out by the KPU in the registration process as a candidate for the 2024 Election. The use of SIPOL for preparation for the 2024 Election is the second year it has been used. Previously, SIPOL was also used in 2017 to prepare for the 2019 Election. As a result, this research found that the use of SIPOL for the 2024 Election was better than the use of SIPOL for the 2019 Election. It was also found that the use of SIPOL aims to increase public participation in the 2024 elections. Additionally, SIPOL contributes to transparent and accountable elections. However, in its implementation, researchers found that the use of SIPOL still encountered many problems, for example the recording of a person's Population Identification Number (NIK) by a political party to be registered as a party member. Furthermore, some political parties still faced challenges in accessing SIPOL. SIPOL is also considered to be unable to help the public monitor political parties in fulfilling the requirements regulated by law. This research aims to explain the application of SIPOL in the registration stages of candidate participants in the 2024 election and to identify opportunities and challenges associated with using the SIPOL application. This research uses a qualitative descriptive analysis method. Data collection was carried out through the interview method accompanied by literature analysis and reporting in online media.