Research Methodology Research Articles

ГРАДОСТРОИТЕЛЬНЫЕ ОСОБЕННОСТИ ВЫСОТНОГО СТРОИТЕЛЬСТВА В РЕСПУБЛИКЕ КРЫМ

The principles of design and construction of high-rise buildings in seismic areas, the influence of urban planning principles of designing such buildings on architecture and planning solutions of buildings, especially on the example of the Republic of Crimea, are considered. Based on the experience of previous studies, the author has identified the main types of seismic protection, features of their use, advantages and disadvantages that can be used when placing high-rise buildings in the design territories. The objectives of the study are determined by the development of earthquake-prone regions, in particular the Republic of Crimea, and the development of high-rise construction. The research methodology determines the ways to solve problems related to the design and construction of high-rise buildings and structures, taking into account the requirements of urban planning.

Task-generated processes in second language speech production: Exploring the neural correlates of task complexity during silent pauses

Abstract The last three decades have seen significant development in understanding and describing the effects of task complexity on learner internal processes. However, researchers have primarily employed behavioral methods to investigate task-generated cognitive load. Being the first to adopt neuroimaging to study second language (L2) task effects, we aimed to provide novel insights into the neural correlates of task-related variation in L2 oral production. To advance research methodology, we also tested the utility of a neuroimaging technique, functional magnetic resonance imaging (fMRI), in examining the impact of task-related variables on L2 speech production when combined with cognitive–behavioral tools (speech analysis, expert and learner judgments). Our research focus was the effects of task complexity on silent pausing. Twenty-four Japanese learners of English completed eight simple and complex versions of decision-making tasks, half in their first language and half in their L2. The dataset for the present study included the L2 speech and fMRI data, expert judgments, and participants’ difficulty ratings of the L1 and L2 tasks they completed. Based on our findings, we concluded that brain imaging and L1 task difficulty ratings were more sensitive to detecting task complexity effects than L2 self-ratings and pausing measures. These results point to the benefits of triangulating cognitive and neural data to study task-based neurocognitive processes.

Detection of Sleeping Pattern Using EEG Signals with Deep Learning

Background: Recorded brain activity analysis is a major tool used in modern medicine and sleep-based research. However, the volume and complexity of the data make manual investigation difficult. Furthermore, high inter-subject variability presents a challenge to deep learning techniques, especially in the detection of sleep-related EEG patterns and artifacts. Methods: Sleep Pattern Identifier (SPI), a hybrid classifier, was used in this study to address the aforementioned issues. SPI tests the efficacy of artifact detection while examining strategies and tactics used in real-world sleep research. A focus was on inter-subject variability, especially in data gathered from participants suffering from sleep disorders. For comparison and visual inspection of the data, formal statistical measures like accuracy, model loss, precision, recall, and ROC were employed. Results: With an accuracy of 94.85%, the suggested model outperformed current techniques and demonstrated higher accuracy. Further, the Sleep-EDF dataset was used in this investigation. Conclusion: The conclusion highlights the effectiveness of the SPI hybrid classifier in identifying EEG patterns, especially in situations where sleep research is conducted in the real world. Research methodologies based on sleep have made significant progress in handling artifacts and adapting to inter-subject variability.

Medical Demography and Access to Prenatal Care in the Foumbot Agricultural Production Basin (West Cameroon)

This article analyzes the dynamics of medical demography and access to prenatal care in the agricultural production basin of Foumbot, located in western Cameroon. This region, characterized by strong agricultural activity, presents particular challenges in terms of maternal and child health. Lack of adequate access to prenatal care is a major concern that can influence maternal and neonatal health indicators. In our work, we conducted a six-month study in the commune of Foumbot. We used a research methodology that included multidimensional analysis, drawing on data from field surveys of 140 randomly selected women in the villages of Baigom, Fosset, Foumbot 1, 2, 3, 4, 5, Maka, Momo and Njone. These data were analyzed using descriptive statistical techniques. This enabled us to highlight the variation in qualities of prenatal care according to environments and types of health facility. The results show a significant disparity in access to prenatal care according to different socio-economic and geographical factors. Only 70% of pregnant women made the minimum four visits required, 22% did not use prenatal care, while 8% had fewer than four visits. The study also reveals that the main obstacles are the remoteness of health centers, the costs associated with cares and cultural practices that can limit the use of available services. The impact of agricultural activity, which is often the main source of income and subsistence for local populations, exacerbates these challenges by reducing the time available for medical care and increasing economic constraints. In rural areas, the use of medicinal plants also predominates, at 30%. The maternal mortality rate rose from 20 to 25 deaths per 100,000 live births between 2020 and 2023. Life expectancy at birth is 56 years; the infant mortality rate is 54‰, and the adult literacy rate is 63%. This research sheds light on the challenges faced by rural populations in terms of prenatal cares, and proposes concrete avenues for strengthening the healthcare system in similar contexts. The results of this study could also serve as a reference for public health policies aimed at improving access to care in other rural areas of Africa.

Adoption of Advanced Systems for Digital Resource Management in Academic Institutions

In educational organizations, digital resource management refers to the organization and enhancement of electronic resources, including databases, libraries, and digital instructional materials. Excellent administration ensures optimal utilization, improves accessibility, and advances learning objectives. To achieve better institutional results, this approach entails incorporating digital tools, handling issues like data security and user training, and adjusting to new technological developments. Using an emphasis on the integration of digital libraries, e-learning platforms, and research databases, this study investigates the technologies and approaches used in maintaining digital resources within higher education circumstances. Through the use of a survey research design, this study employed a quantitative research methodology. Data gathered from a sample of 250 undergraduate students was utilized in this investigation. This study looks at the connections between teaching profile (TP), technology competence (TC), digital technology awareness (DTA), utility perception (UP), and usage motivation (UM). SPSS was utilized statistically to obtain the outcomes. Descriptive, correlation, and regression analysis were used to obtain the results utilizing data gathered from a sample of university participants. Significant of both conceptual and actual consequences have resulted from the findings.According to the study's findings, efficient use of digital resources in academic institutions greatly improves accessibility and resource utilization, both of which contribute to better learning outcomes.

Agama dan Identitas Sosial Dalam Praktek Pembelajaran Hadis di Langgar di Kabupaten Malang Jawa Timur

Abstract: This study examines the role of religion in shaping social identity through Hadith learning in the violations of Malang Regency, East Java. This study analyses how the teaching of Hadith in these places of worship affects individuals' perceptions of themselves and their communities. The research methodology involves in-depth interviews with teachers and pilgrims and content analysis of the learning materials used. The results of this study revealed that the practice of Hadith learning in Malang Regency has a significant role in shaping individual social identity. This manifests itself in the influence of religion on social norms, values, and community solidarity. The research also highlights the critical role of teachers in conveying religious messages and how these messages influence individual understanding and identity. This research provides in-depth insights into the complexity of the relationship between religion and social identity in the context of local communities. These findings may contribute to a better understanding of the role of religion in shaping social identity and guide learning efforts, as well as a better understanding of religion in diverse societies. Keywords: Religion, Social Identity, Hadith Learning, Langgar, East Java

Usability Analysis of Trello Using the System Usability Scale (SUS) at the UIN Jakarta Career Development Center

The UIN Jakarta Career Development Center is a dedicated unit focused on fostering the personal and professional growth of both current students and alumni of UIN Jakarta. Supported by student interns from diverse educational backgrounds and academic programs, the center operates daily to provide comprehensive services. These interns bring varied educational backgrounds and experiences, influencing their readiness to implement software for collaborative and coordinating purposes, replacing the previous system (Trello) at the UIN Jakarta Career Development Center. This study aims to evaluate Trello's effectiveness at the UIN Jakarta Career Development Center, intending to enhance the interns' performance and improve service delivery to uphold UIN Jakarta's reputation. The research methodology employs the System Usability Scale (SUS), with validity and reliability testing conducted using Cronbach's Alpha. Findings indicate that Trello's usability at the UIN Jakarta Career Development Center yields an average total score of 59.625 on the grade scale, categorizing usability as D with an adjective rating of OK and marginally acceptable. However, 37.5% respondents express skepticism regarding others' ability to quickly grasp Trello's use, while 55.5% state a need to acclimate themselves to Trello's usage. These insights underscore the importance of refining Trello's implementation to better support the center's operations and ensure a seamless user experience for interns and staff alike.

SUSTAINABLE FASHION DESIGN WITH GAZENNE WOVEN FABRIC THE CULTURAL HERITAGE OF KEMALIYE

This study explores garment design applications that enhance the sustainability of Gazenne fabric. The primary objective is to promote this fabric as a tangible cultural asset, integrating it with sustainable and slow fashion movements to embed it in daily life. The featured collection, “Boomerang,” embodies the theme of sustainability and caters to women who value longevity and versatility in their wardrobe. The collection showcases designs characterized by recyclable, sustainable, and interchangeable elements. It aims to create a nexus between historical and futuristic fashion by utilizing “Gazenne Weaving Fabric,” indigenous to the Kemaliye district of Erzincan. This fabric, which received its geographical indication in 2013, has revitalized traditional weaving techniques and provided new employment opportunities. A central goal of this research is to rejuvenate Gazenne weaving—an endangered intangible cultural heritage—and repurpose it for contemporary apparel. Accordingly, the collection comprises garments designed for durability and versatility, facilitating various combinations with other clothing pieces. The research methodology includes a collection design of ten outfits conceptualized under the “Sustainability” theme, supported by a literature review and an experimental design approach. Two selected garments from this collection exemplify the practical application of sustainable fashion principles, emphasizing the use of Gazenne woven fabric. Ultimately, this study underscores the potential positive impacts on sustainable fashion, cultural heritage preservation, and local economic development. These findings may inspire similar initiatives and encourage the adoption of more sustainable, responsible practices in the fashion industry.

Bridging theory and practice: Stakeholder insights on circular economy in the building life cycle

The world strives for sustainable development to minimize environmental impact and resource consumption, where circular economy (CE) is emerging as a promising approach to address environmental, economic and social challenges associated with the Architecture Engineering Construction (AEC) industry. This study focuses on the implementation of circular economy principles in the End-of-Life (EoL) phase of existing buildings, aiming to identify gaps between theory and practice, specifically for reuse and recycle processes in AEC. The focal point are business models, processes and the regulatory framework in Austria. The research methodology employs semi-structured interviews with different stakeholders involved in activities within the EoL value chain, including architects, contractors, material suppliers, waste management organizations, demolition companies and regulatory authorities. Based on a literature review which addresses seminal issues for the implementation of CE in the building life cycle, this study compares findings from 12 interviews and the results from literature research, identifying gaps between theory and practice, with recommendations for a path forward.

Negotiating Meaning with Machines: AI's Role in Doctoral Writing Pedagogy

AbstractThis paper examines the integration of generative artificial intelligence (AI) in doctoral writing pedagogy. It explores how AI augments traditional teaching and composition processes, fosters a new paradigm of cognitive engagement and collaborative academic writing, and the broader ethical and social implications of human-AI writing in doctoral writing pedagogy. A community-engaged participatory research methodology was employed within a Doctor of Healthcare Administration program. Data were collected through discussion board messages, self-assessment papers, student reflections, and a focus group interview, and analyzed using thematic analysis. The research unearthed a hybrid human-AI writing process characterized by dynamic brainstorming, continuous negotiation of meaning, and comparative evaluation. These practices enhanced students' cognitive and metacognitive engagement, confidence, and learner agency, signifying a shift toward a collaborative approach to academic writing. The findings highlight the need for academic institutions to adapt policies and curricula to incorporate AI technologies ethically and responsibly. Emphasis on AI literacy and academic integrity is crucial for preparing graduates for an AI-integrated workforce. This study contributes to the understanding of AI's role in doctoral education, specifically doctoral writing development, presenting a novel perspective on the synergistic collaboration between students and AI in academic writing and its implications for institutional policies and writing pedagogy.

Regulating the Acceptance of Witnesses in Corruption Cases within the Protection Program in the Saudi Law and its Obligations

In light of the development of the means of corruption crimes and the diversity of their methods including the use of modern technology in these crimes, and based on the growing idea of everyone's responsibility to address this crime and their right to do so, considering that the cooperation between members of society and the relevant state institutions is one of the most important ways to confront and address this crime, and since there is a potential threat to those who address reporting or witnessing the commission of these crimes, the Saudi Arabia has issued a new law for the protection of whistleblowers, witnesses, experts and victims, issued by Royal Decree No. (M/148) dated 8/8/1445 AH, which clarifies the mechanism for protecting whistleblowers, witnesses, experts and victims, and how they are subjected to the protection program, their responsibilities, and the forms of protection provided to them. In view of the vital role played by the witness in detecting and combating corruption crimes, and the emergence of a new law in the Kingdom that sets statutory rules for the protection of witnesses, this research aimed to answer a key question, what are the mechanisms for regulating the acceptance of witnesses in corruption cases within the protection program in the Saudi law and what are its obligations? This will be done using the descriptive and analytical research methodology, by studying the legal regulation of the admission of the witness to the witness protection program, and his obligations. The study reached several results, the most important of which are: the development of the Saudi regulation in corruption cases and the application of the necessary guarantees to ensure the protection of human rights, and highlighting the methods of its inclusion within the witness protection program in corruption cases and the limits of the witness's obligations, in the event when requesting for protection is approved.

Immersion tourism context: scale development and influence mechanism of tourist multiple interactions

ABSTRACT This research aims to clarify the core attributes of tourist multiple interactions, and how it may be possible to promote tourist well-being and citizenship behavior when traveling in an immersion tourism context. A mixed method with two studies was conducted to answer these questions. Study 1 developed and validated a scale for tourist multiple interactions through a mixed qualitative and quantitative research methodology, strictly following the steps of scale development. Survey data were acquired from travel notes, semi-structured interviews, and questionnaires in China. The results showed that tourist multiple interactions scale includes 3 dimensions and 18 items, including technology interactions, narrative empathy, and social interaction. To further verify the influence mechanism of scale, study 2 used a survey to explore the effect of tourist multiple interactions from the perspectives of both tourists and destinations. Survey data were acquired from 311 questionnaires in China. The results indicated that tourist multiple interactions were positively associated with well-being and tourist citizenship behavior. Tourist engagement mediated this relationship. Destination familiarity positively moderated the relationships between tourist multiple interactions and tourist engagement. Theoretically, the research provides extensive implications to tourist interaction and immersion tourism; whilst offering some actionable insights to tourism context.

Challenges and strategies of gamification in family businesses: the moderating effects of supervision and engagement

Purpose This paper aims to unravel how family businesses can harness the power of gamification and to illuminate the hurdles that obstruct this path to success. The research identifies these challenges providing valuable insights into the application of gamification in family businesses and the role of supervision and engagement as moderator variables in this relationship. Design/methodology/approach Using a structural modeling approach in a qualitative research methodology, the authors collected responses from n = 200 participants. The results were analyzed using Spearman’s test and multiple linear regression. Findings The research findings reveal that family businesses need to carefully redefine costs when introducing gamification, considering both fixed and variable expenses. The moderating effects of supervision are crucial for user evolution and the correlation, while user engagement influences user and useability experience. Additionally, a positive attitude enhances engagement. Finally, the five key challenges lead to difficulties when implementing gamification strategies. Practical implications This research provides valuable insights for the literature on gamification and family business and offers practical guidance for family business owners seeking to introduce a tailored value proposition adapted to their unique organizational needs and challenges. Originality/value A novel approach is proposed which, through the integration of gamification strategies with family business dynamics, explores the unique challenges and opportunities that arise within this context. By focusing specifically on family businesses, this study highlights how generational differences, ownership structures and cultural resistance can impact the successful implementation of gamification.

Relationship between artificial intelligence and legal education: A bibliometric analysis

This study aims to explore past research trends and identify key future directions at the intersection of artificial intelligence and legal education. The study’s data were gathered from the Scopus database, comprising 68 selected documents spanning from 1999 to 2024. The research methodology involves the use of VOSviewer software for bibliometric analysis. The results reveal that research on artificial intelligence and legal education, while still limited, has been undertaken in various countries, focusing on five primary research directions, including: (1) Improving technical education systems in colleges and universities through educational technology and modern legal learning systems; (2) Application of artificial intelligence and algorithms in the legal field; (3) Applying computational theory and e-learning technology in legal education; (4) Legal education and legal knowledge; (5) Digital transformation in the field of legal training. Based on the research results, five future research directions on this topic are also proposed, including: (1) Application of artificial intelligence in analyzing and predicting legal trends; (2) Artificial intelligence in personalizing the legal learning experience; (3) Artificial intelligence and legal professional ethics; (4) Development of artificial intelligence tools supporting legal teaching and research; and (5) Integration of artificial intelligence into online learning systems for legal education.

A bibliometric study on the effects of e-learning technologies on innovative competency development of university librarians and smart library services

Purpose The purpose of this study is to conduct a bibliometric analysis to discover the published information on the effects of e-learning technologies on innovative competency development of university librarians and smart library services. Design/methodology/approach This study is based on bibliometric research methodology. The data were retrieved from the leading database Web of Science to analyze the scholarly publications on the topic during 1965–2023. VOSviewer and Biblioshiny software were used to analyze the bibliometric data on the subject. Findings Results displayed that the topic of e-learning technologies in the domain of librarianship has been greatly used by several authors as a title to publish their research work. The dominance of countries such as the USA, China and the UK in research output reveals their leadership in advancing research and innovation in the field of e-learning technologies for university libraries. Originality/value To the best of the authors’ knowledge, this is the first bibliometric study that has been conducted to measure the productivity of literature at the international level on the effects of e-learning technologies on innovative competency development of university librarians and smart library services.

Advancing Aquaculture Sustainability: A Comprehensive Review of Biofloc Technology Trends, Innovative Research Approaches, and Future Prospects

ABSTRACTBiofloc technology (BFT), initially adapted for shrimp farming in the 1970s, represents a sophisticated ecosystem of microorganisms designed to enhance aquaculture productivity and sustainability. Despite its established history, research into BFT is surprisingly still at an early stage globally. This review conducted a bibliometric analysis of 612 articles from major aquaculture journals spanning 2008–2023 to systematically explore the development, trends, and focal points of BFT research. The analysis revealed that the bulk of significant contributions originates from Brazil and China, and highlighting areas of interest can be categorized into four hotspots, such as (1) efficient nitrogen transformation, (2) biofloc microbiology, (3) biofloc's immunostimulant properties, and (4) the evaluation of research methodologies. At the end, the microecology concept was introduced, and the cross‐discipline methods were promoted in the aquaculture field. Notably, much of the BFT research is still at an exploratory phase, with numerous functional bacteria unidentified and optimization strategies for BFT underdeveloped. These gaps present opportunities for enhancing aquaculture through improvements in wastewater management, product quality, safety, and yield. Furthermore, the review notes a growing trend in applying microbiome research and microecological analysis in aquaculture, with high‐throughput sequencing data increasingly used to understand microbial interactions and nitrogen transformation within bioflocs. This direction promises to unlock further insights into the complex microbial ecosystems of bioflocs and their applications in sustainable aquaculture.

Types of Legal Protection for Witnesses in Corruption Cases in the Saudi Law

In view of the vital role played by the testimony or witness in detecting and combating corruption crimes, the Saudi Arabia issued a new law for the protection of whistleblowers, witnesses, experts and victims, by Royal Decree No. (M/148) dated 8/8/1445 AH, and since there is a potential threat to those who dare to reporting or witnessing the commission of these crimes, the low dealt with the types and forms of protection provided to them, and this research tries to answer a key question, which is: What types of protections does the Saudi low guarantee to witnesses in corruption cases? This is done by using the descriptive , analytical research methodology, by characterizing and extrapolating the types of protection, and analyzing the texts of the low to identify the types and forms of protection contained therein. The study reached several results, the most important of which are: the interest of the Saudi regulator in protecting witnesses in this type of cases to provide the necessary guarantees for the protection of human rights, as it enacted a set of security, judicial, functional and social guarantees to protect the witness, and organized a number of new measures, including concealing the witness's identity and personal data, not attending him during the trial, and sufficiency, for example, with recordings without the possibility of discussing him.

Nexus between corporate governance and FinTech disclosure: a comparative study between conventional and Islamic banks

Purpose This study investigates the impact of corporate governance on FinTech disclosure levels in Jordanian conventional and Islamic banks. It aims to determine whether governance mechanisms affect disclosure practices in the FinTech sector, exploring the interplay between governance and transparency in financial innovations. Design/methodology/approach The research methodology entails a thorough analysis of data from all 15 Jordanian conventional and Islamic banks listed on the Amman Stock Exchange, covering the period from 2015 to 2022. This study uses manual content analysis using a custom FinTech Disclosure Index (FDI) and quantitative analysis with a two-way clustered error regression model. Findings The findings show that corporate governance mechanisms, particularly board size, board meetings and “Big4” audit firms, are crucial in enhancing FinTech disclosure across conventional and Islamic banks. However, Islamic banks consistently show higher disclosure levels than their conventional counterparts, attributed to their distinct governance structures that emphasize ethical governance and transparency. These results indicate an awareness among decision-makers about the importance of business model transformation toward FinTech. Originality/value This study pioneers the introduction of FDI, using it for a novel comparative analysis of FinTech disclosure levels between Islamic and conventional banks. By exploring how various governance structures influence FinTech disclosure, this research provides fresh insights into the interplay between corporate governance and financial technologies in the banking sector.

Энергоэффективность многоядерных процессоров: сравнительное исследование аппаратных технологий

Background: The constant increase in processing demand has prompted the development of multi-core processors, which are critical to obtaining high performance in a variety of computing devices. However, this growth in processing capacity comes at the expense of increased energy consumption, posing substantial problems for energy efficiency. Objective: The article will examine and compare several hardware solutions for improving energy efficiency in multi-core processors, offering a full overview of their effectiveness and application. Methods: We used a quantitative research methodology, simulating multi-core processing environments with various hardware optimization techniques such as Dynamic Voltage and Frequency Scaling (DVFS), Clock Gating, and Power Gating. Each technique was evaluated in a variety of operational circumstances to establish its effect on energy consumption and processing efficiency. Results: The findings show that DVFS provides significant energy savings with negligible performance trade-offs in cases with moderate workloads. In contrast, Clock Gating performed best in low workload settings, whereas Power Gating performed best in high-load conditions, dramatically reducing idle power consumption. Conclusion: The comparison research demonstrates that no single technique beats all others; rather, the choice of an effective energy efficiency strategy is significantly influenced by unique workload factors. A hybrid strategy, which combines both techniques depending on real-time workload demands, can greatly improve the energy efficiency of multi-core processors. This study advances our understanding of energy management in advanced computing systems, providing insights for future research and practical applications in the field of energy-efficient computing.

DEVELOPMENT OF LEARNING MEDIA ON THE MATERIAL OF PRACTICING PANCASILA VALUES IN THE FORM OF A SCRAPBOOK FOR FOURTH GRADE STUDENTS AT SD NEGERI 101961 TIMBANG DELI FOR THE 2023/2024 ACADEMIC YEAR

This research aims to: (1) Determine the development of learning media on the material of practicing Pancasila values in the form of a scrapbook for fourth-grade students, and (2) Assess the feasibility of the learning media developed on the same material. This study employs a Research and Development (R&D) methodology. The subjects of the research are 25 fourth-grade students from SD Negeri 101961 Timbang Deli, consisting of 11 boys and 14 girls. According to the material experts' assessment, the feasibility percentage is 94%, categorized as "Highly Feasible." The media experts' assessment shows a feasibility percentage of 96%, also categorized as "Highly Feasible." Student responses from the trials indicate a feasibility percentage of 91.04%, classified as "Highly Feasible." Similarly, based on teacher feedback, the feasibility percentage is 90.7%, with the same classification of "Highly Feasible." The media has been validated by both media and material experts, and it is deemed highly suitable for use as a learning tool for the material on practicing Pancasila values in the form of a scrapbook for fourth-grade students at SD Negeri 101961 Timbang Deli.