bluuebunny/crossref_metadata_2025 huggingface dataset:
The use of Google web applications to create a learning environment in war conditions
Authors: Voron Olha , Kichuk Yaroslav , Yemelianova Olena , Stepanov Sergii , Shevtsova Nataliia
Published: November 2024

Introduction: In the modern world the digitalization of educational trends offers many mechanisms for implementation. At the same time their use depends on many conditions. The purpose of this article is to study the peculiarities of using Google web applications to create an accessible and interactive learning environment in wartime. The main objective are using Google tools to implement education in wartime, describe the results of their use, finding its efficiency. Method: The realization of this goal involves the use of certain scientific methods. In particular, we are talking about the use of a survey and the method of content analysis of scientific literature, which made it possible to compare the Ukrainian experience with the existing paradigms of perception of Google tools in education. Results: The study results show that Google web applications are an important part of the modern educational process. All applications have a simple and user-friendly interface. The measurements showed that Google Classroom (33.33%) and Google Meet (26.67%) are the most used applications. This proves their important role in organizing online classes both at the organizational and direct learning levels. Teachers also use Google Drive, Google Docs, and Google Forms, which fulfill their function in organizing the modern educational process. Conclusion: The conclusions note that the importance of further research is dictated by the need to take into account new changes and capabilities of the tools.
Leveraging Smart Home Training Kits as an Innovative Educational Tool to Foster Higher-Order Thinking Skills
Authors: Sukardi  , Candra Oriza , Mirshad Emilham , Zaus Mahesi Agni , Islami Syaiful
Published: November 2024

This study aims to establish the impact of employing Smart Home Training Kits as a new approach to developing Higher-Order Thinking Skills (HOTS) in vocational education. Using a quasi-experimental design, the study involved two groups of vocational students: supporting them by an experimental group applying Smart Home Training Kits and a control group using conventional methods of instruction. Standard pre-tests and post-tests were administered among the students to evaluate the enhancement in the level of higher-order thinking skills, for aspects of critical thinking, problem-solving solving, and creativity. The findings also showed a work improvement in the experimental group compared to the group control group. The experimental group of students who were trained using the Smart Home Training Kits performed better when it came to the analysis, evaluation, and Synthesis of possible solutions regarding smart homes. Also, a number of the activity kits characterized the technical thing being taught in a detailed way that allowed the students to gain a more realistic understanding of the principles at work. The findings of this paper suggest that Smart Home Training Kits are one of the ways through which Higher-Order Thinking Skills can be effectively taught within the technical education training regime while closing the gap between theory and practical. This indicates that the assimilation of these kits in curricula could help the effective development of critical thinking and innovation at the expense of students to face the current world workplace challenges.
The mediating effect of blue ocean strategy on the relationship between management control system and competitive advantage
Authors: RAZZOUKI Mustapha , ZAMMAR Rachid , GAROHE Adil , SALAH-EDDINE Karima
Published: November 2024

This research examines the impact of management control systems on the competitive advantage of industrial companies, with a focus on the role of the blue ocean strategy as a mediating variable in this relationship. To achieve these objectives, a quantitative methodology was employed. Data was gathered through a structured questionnaire distributed online via Google Forms, and the analysis was performed using Smart PLS Version 4 software. The sample consisted of 405 Moroccan industrial companies. The analysis revealed that management control systems significantly impact competitive advantage, and the blue ocean strategy mediates this relationship. Based on these findings, future research should explore various approaches to implementing blue ocean strategies and their effects on company performance.
Emerging Themes, Leaders, and Collaboration in Library and Information Science Research
Authors: Wattanasiri Pornnisa , Manorom Paiboon , Chansanam Wirapong
Published: November 2024

Introduction: This study uses bibliometric methods to evaluate research articles within the library and information science (LIS) domain. The focus is to uncover trends and patterns in social network analysis related to LIS, particularly examining research collaborations and content within highly cited articles. By analyzing these aspects, the study seeks to identify influential authors, prominent research themes, and key contributors in the LIS field.
Methods: A dataset of 14,517 articles published between 1954 and 2023 was extracted from the Scopus database for bibliometric analysis. The study concentrated on publications in the LIS domain, focusing on the journal Library Philosophy and Practice. Multiple Correspondence Analysis (MCA) was used to identify clusters within the research field, while content analysis was performed to determine prevalent topics and disciplinary influences within the articles.
Results: The analysis revealed that China is home to many of the most influential authors in the LIS domain, with the United States, China, and the United Kingdom identified as the top contributing countries to LIS research. Common research themes include information science, bibliometrics, academic libraries, information literacy, and LIS education. Two main clusters emerged from the MCA: one focused on information-related concepts and the other on bibliometrics and scholarly communication. Content analysis indicated a significant presence of topics from physics, computer science, and information technology within LIS research.
Conclusions: This study highlights key trends and patterns in LIS research, with academic libraries, information literacy, LIS education, and librarians' roles identified as critical areas for future exploration. Expanding databases and refining keyword searches are recommended to enhance knowledge dissemination and educational adaptability in the LIS field. The findings aim to support LIS researchers, facilitate research planning, and promote global interinstitutional cooperation
Artificial intelligence and its impact on corporate social responsibility
Authors: Pardo Vásquez Caren Yuliet , Gómez Rodríguez Giovanni
Published: November 2024

Artificial intelligence has been a technology that is constantly innovating interaction, consumption and expression in society itself. It is essential to examine the interaction and link between corporate social responsibility and artificial intelligence. To analyze the impact of artificial intelligence on corporate social responsibility commitments and evaluate how these impacts are perceived by organizations, identifying possible benefits and threats. An exhaustive literature review was conducted on artificial intelligence and its influence on corporate social responsibility. This review allowed identifying the possible positive and negative aspects that organizations present when adapting to different social changes. It is necessary to evaluate the link between corporate social responsibility and human capital, since both areas are crucial and complement each other in an organization. It highlights an innovative approach to strategies that identifies the contributions of CSR to different aspects of human talent, both internal and external, and analyzes its influence on personnel performance, a critical factor in organizational decision-making
Labor inclusion of people with disabilities in Colombia
Authors: López Riaño María Alejandra , Cruz Castro Paula Valentina , Capera Culma Laura Stephania
Published: November 2024

The low participation of people with disabilities in the labor market has been a problem that has existed for many years, however, it was not always a relevant issue as it is today and that is why this article will highlight the factors. that must be taken into account so that they can actively participate in the workplace. Objective: determine the aspects that influence the adequate labor inclusion of people with disabilities in companies and identify their employability trend. Method: a documentary review was carried out of the research and documents published during the last 5 years in relation to labor inclusion and employability trends for people with disabilities in Colombia. This collection of information had the library as its main source. digital CUN from which much of the data contained in this document was extracted. Analysis and integration of information: For the analysis of the information, the background of the topic, the laws and regulations, as well as the data collected quantitatively and qualitatively, were taken into account. Conclusions: labor inclusion is a very broad issue in which both employing companies and the government play an important role since they must provide the necessary guarantees to achieve active participation in the business environment of people with disabilities
The role of vitamin d receptor gene polymorphisms in obesity: a systematic review and meta-analysis
Authors: Yuliawati Tri Hartini , Ratna Sari Dewi , Kencono Wungu Citrawati Dyah , Faizah Zakiyatul , Hamidah Berliana , Amanda Bella , Prasetiowati Lucky , Rimbun Rimbun , Eko Purwantari Kusuma , Darsini Ninik , Yusuf Ashari Faisal , Wan Taib Wan Rohani , Bin Alwi Zilfalil
Published: November 2024

Introduction: Obesity has become a major global issue since it can increase the risk of fatal disease.  Genetic variation in the vitamin D receptor (VDR) gene is a potential candidate for obesity, though findings are inconclusive. Objectives: This meta-analysis aims to determine the association between VDR polymorphisms and obesity risk.Methods: All relevant studies from 1990 to January 2024 were screened using PubMed, Web of Science, Science Direct, and Scopus. This meta-analysis included studies meeting PROSPERO-registered eligibility criteria. Pooled odds ratios (OR) with 95% confidence intervals (CI) for six VDR gene polymorphisms (BsmI, FokI, TaqI, ApaI, and Cdx2) were generated using RevMan 5.4.Results: This meta-analysis included 23 studies with 5715 obese/overweight and 4887 non-obese individuals from China, Malaysia, Egypt, Turkey, India, Iran, UAE, Saudi Arabia, Czech Republic, Greece, USA, Denmark, Hungary, and Belgium. The findings show an association between VDR ApaI polymorphism and reduced obesity risk in homozygous models [aa vs. AA: OR=0.76, CI=0.60-0.97; P=0.03]. The TaqI variant is linked to increased obesity risk in Europeans under allelic [t vs. T: OR=1.33, CI=1.11-1.60; P=0.002], homozygous [tt vs. TT: OR=1.68, CI=1.13-2.50; P=0.010], dominant [tt vs. TT+Tt: OR=1.47, CI=1.07-2.03; P=0.02], and recessive [Tt+tt vs. TT: OR=1.43, CI=1.08-1.89; P=0.01] models.Conclusions: This meta-analysis suggests the aa genotype of VDR ApaI polymorphism may protect against obesity across populations. In Europeans, the t allele of VDR TaqI polymorphism is identified as an obesity risk factor
Building Bright Minds: A Comprehensive Study on Developmentally Appropriate Practices for Enhancing Elementary Students' Mental Health
Authors: Minsih Minsih , Destya Anatri , Alfi Laila , Mohd Yasin Mohd Hanafi , Mujahid Imam , Helzi Helzi
Published: November 2024

Introduction: Quality learning is essential to achieve national education goals. However, current practices often neglect students’ mental health needs, and focus more on academic achievement.Objective: The purpose of this study was to analyze the need to develop a Developmentally Appropriate Practices (DAP) learning model that specifically targets the mental health of elementary school students.Method: This study used a qualitative case study design approach, involving 30 teachers and 3 mental health professionals from Surakarta city. Data were collected through in-depth interviews with educators and mental health professionals, as well as classroom observations. Data were analyzed thematically to identify relevant patterns and themes related to the development of the DAP learning model. Interview guides and observation sheets were used as research instruments.Results: The findings revealed three main problems: 1) lack of attention to mental health aspects in the curriculum and learning practices, with an exclusive focus on academic performance; 2) lack of trained personnel to address mental health needs in schools; and 3) students face challenges in adapting to academic and social demands, which can lead to stress and mental health problems. The DAP learning model can improve the mental health of elementary school students by integrating emotional, social, and academic aspects, thereby fostering a supportive environment that increases students' sense of connectedness and confidence in learning.Conclusion: The development of the Developmentally Appropriate Practices (DAP) learning model is essential to address the mental health needs of elementary school students. By incorporating emotional and social dimensions into educational practices
The Influence of Technology-Based Leadership Training for Women MSME Owners
Authors: Wulandari Dwi , Hilmi Prayitno Putra , Basuki Andi , Rahman Prasetyo Abdul , Aulia Fikri , Gunawan Ari , Baghiz Syafruddin Afis
Published: November 2024

MSMEs can strengthen Indonesia's prosperity, by creating added value and strengthening strategic economic sectors. Training for women business owners' skills needs to be supported by external factors that also significantly contribute to the development of business strategies. Business leaders, especially women leaders, play an essential role in bringing their businesses towards the desired goals. However, Women entrepreneurs are considered inferior in leading businesses because of their low abilities compared to men. Women entrepreneurs do not have access to leadership training, use current technology, and are uncertain about making MSME business decisions. The purpose of the study was to determine the relationship between the independent variable (leadership training), the dependent variable (business performance, digital competence, and business decision-making), and the moderating variable (business model innovation). This study involved 45 women entrepreneurs in East Java. Sampling showed a diverse demographic distribution in several districts and cities. The limited number of respondents is because the number of women entrepreneurs in Indonesia is only around 40%.This study uses Partial Least Squares Structural Equation Modeling (PLS-SEM) analysis to determine the relationship between those variables. The study's results showed that leadership training positively and significantly affected business performance, digital competence, and business decision-making. The moderating variable, business model innovation, has an impact on the variables that have been raised previously. This study impacts Women leadership development through training so that Women entrepreneurs can improve sustainable business performance and strategies
Development and Validation of the Asian AMD Age-Related Macular Degeneration Risk Scale
Authors: Ismayilova Inara , Korol Andrii , Aldasheva Neilya
Published: November 2024

Introduction: This study aimed to develop a method for predicting the risk of developing macular degeneration in the early stages by facilitating prompt intervention by medical professionals. Methods: Using a cross-sectional design, 455 age-related macular degeneration (AMD) patients from Kazakhstan were recruited via random sampling. Demographic traits, familial AMD history, medical history, and eye-related characteristics were collected through a systematic questionnaire.  The patient cohort comprised 169 Caucasians and 286 Asians, with 160 males and 295 females.  Results: Notably, 117 individuals (25.7%) were classified as high AMD risk, 322 (70.8%) as moderate risk, and 16 (3.5%) as low risk. Additionally, eye-related findings revealed high-risk factors, including bright iris colors, increased UV exposure, and cataract surgery, alongside presbyopia and myopia. The study underscores the need for national/regional AMD risk stratification to inform monitoring and screening programs. Recognizing high-risk individuals holds paramount significance from both public health and therapeutic perspectives, offering opportunities for early detection and management to mitigate permanent vision loss. Conclusions: The findings elucidate the interplay between risk factors, shedding light on their collective impact on AMD risk.  Overall, this study's predictive model and risk categorization framework have substantial implications for ophthalmological practice, enabling timely preventive measures and potentially revolutionizing AMD management.
Ethical Aspects in Occupational Health Research: A narrative review of the literature
Authors: Yáñez-Flores Kathia , Reynaldos-Grandón Katiuska
Published: November 2024

Introduction: The field of occupational health research is not immune to ethical concerns and has encountered challenges of an ethical and moral reflective nature. Consequently, the research methodologies employed in this area have been epidemiological, facilitating enhanced understanding and gaining insights that inform decisions regarding workers' safety, hygiene, and occupational health while also addressing the ethical considerations pertinent to this population. Objective: To determine which ethical aspects are involved in research in the field of occupational health. Methodology: narrative bibliographic review; the sources of information consulted were three databases: Web of Science, Scielo, and Pubmed, consulted during April and May 2024, in addition, normative documents of the Superintendence of Social Security and the International Commission on Occupational Health were incorporated; the keywords research, occupational health, and ethics were used. The data were analyzed according to content analysis. Results: Each author and their articles delineate the ethical considerations relevant to occupational health research and briefly describe these features. Conclusion: According to the analysis and discussion, it can be determined that ethical aspects are mandatory, and Emanuel's seven requirements could be considered as basic to complying with the ethical aspects of occupational health research.
Research trends related to road innovation in civil construction of public spaces
Authors: García Vinces Jimmy Jeffrey , Ross Lopera Claudio Ulise , Solórzano Villegas Lucy Elizabeth
Published: November 2024

Road innovation is transforming civil construction by introducing technologies and approaches that improve the efficiency, safety and sustainability of transportation infrastructure. These traffic management systems and real-time monitoring sensors optimize vehicular flow and minimize congestion. The objective of the research is to analyze research trends related to road innovation in civil construction of public spaces. The research approach is mixed, combining qualitative and quantitative methods. A descriptive and retrospective bibliometric analysis was carried out, which was complemented with a documentary review, developed in the Google academic database, Scielo and SCOPUS. The behavior of the researches was decreasing, characterized by a polynomial function with a maximum peak in 2020 of 27 researches. Research in environmental sciences in China predominated. Three lines of scientific research and their main thematic nuclei were identified and explored as key categories and systematized in order to recognize the trends of road innovation in the civil construction of public spaces. The main results were introduced in China with analysis of impacts on the population, use of geographic information systems, environmental pollution studies, among others. Despite international efforts to develop sustainable strategies for the construction and management of public spaces, there are still significant challenges to be addressed to ensure innovation and sustainability in this area.
How passion and workplace incivility impact job performance in China: the role of work-life balance
Authors: Zou Wenyi , Binti Abd Hamid Rawiyah , Arshad Muhammad Zulqarnain
Published: November 2024

Introduction- Private universities now face multiple pressing challenges, one of the reasons is the low job performance of academic staff. In order to solve the problem, this study considered the factors that affect job performance.Objective- Building on the Job Demand-Resource (JD-R) Theory, this study explored the underlying association between passion, workplace incivility, work-life balance and job performance of academic staff in China. Specifically, we tested the mediating mechanism of work-life balance that has received less consideration in the former literature.Methods- A sample of 385 private university academic staff from 21470 was selected. Questionnaires were distributed to them. Statistical techniques such as SPSS 27 and Smart-PLS 4 were applied for analysis.Results- The results revealed a positive relationship between passion and job performance and a negative relationship between workplace incivility and job performance. In addition, work-life balance mediated the relationship between passion, workplace incivility and job performance.Conclusions- This study contributed to the literature on work-life balance and job performance by stating how work-life balance could play a mediator role between the path of job resources and of job demands to job performance
Current Advertising Approaches in Tourism: Effects on Consumer Behaviour and the Advancement of Tourism Activities
Authors: Litovka-Demenina Svitlana , Tsepkalo Tetiana , Saichuk Viktor , Stamat Viktoriia , Boshota Nelia
Published: November 2024

Introduction: The relevance of the research topic is the need to adapt tourism enterprises to rapid changes in the advertising industry under the influence of digital technologies. In the context of the development of the modern advertising market, there is an active implementation of digital strategies, which allows to engage the audience more effectively and take into account changes in its behaviour. Objective: The study considers the following advertising strategies: content marketing, targeted advertising on social platforms, contextual advertising and personalised offers. Methods: The research methods included generalisation, synthesis, comparative analysis of the types of advertising strategies and statistical processing of quantitative data. A stratified sample of representatives of the tourism industry was used. Secondary data from consumers of different age groups were analysed. Statistics on modelling consumer behaviour were used to analyse the data. The article identifies effective advertising strategies in the digital environment. Results: The study results showed that companies invest 2 times more in personalised advertising and targeting. In 2023–2024, native advertising strategies and an individual approach will prevail, and it is predicted that media tools on social networks will become widespread in the coming years. Social platforms and personalised advertising have become critical factors in attracting new customers. Conclusions: Prospects for further research include a detailed analysis of the impact of automation on advertising campaigns.
The Effectiveness of Islamic Capital Market Schools in Enhancing Knowledge and Motivation towards Stock Investment in Generation Z
Authors: Hani Hasanah  , Kurniawati Ria
Published: November 2024

This research aims to determine the difference between before and after the implementation of the Shariah capital market school at Sheikh-Yusuf Islamic University Campus. This study is a quantitative research using the Mann-Whitney test as a differential test. Based on the research results, it is found that there is a difference in motivation and knowledge of the students at Sheikh-Yusuf Islamic University before and after the implementation of the Shariah capital market school activities.
Liquidity, Profitability, Firm Size and Leverage on Company Value
Authors: Febriana Hadijah , Anismadiyah Vega
Published: November 2024

This research aims to determine the effect of liquidity, profitability, firm size and leverage on company value in automotive and component sub-sector manufacturing companies on the Indonesia Stock Exchange with an observation period of 2012 - 2022. The method in this research uses panel data regression analysis and is tested using a program Eviews data processing 12. The population in this study were 13 companies in the automotive and components sub-sector listed on the Indonesia Stock Exchange and 3 companies were used as samples in this study. The partial research results show that: 1) the liquidity variable has no effect on firm value, 2) the profitability variable has a significant effect on firm value, 3) the firm size variable has no effect on firm value, 4) the leverage variable has no effect on firm value and the test results are simultaneously identified that liquidity, profitability, firm size and leverage have a significant effect on company value.
The Role of Public Relations at SMKN 3 Depok in Preparing Graduates Ready to Work in the World of Industry
Authors: Rajagukguk Djudjur Luciana , Lestari Karin Septia Dwi
Published: November 2024

This research aims to find out about the role of school public relations in preparing students to enter the industrial world. Of course, the role of Vocational High Schools cannot be underestimated, there is no longer the position of Vocational Schools as reserve schools which are the second choice, if you cannot enter the desired high school. This research uses descriptive qualitative methods with a constructivism paradigm. This research collects data through interviews, observation and documentation and data analysis by reducing data, presenting data and drawing conclusions. Talking about the role of public relations means discussing an industry or institution that communicates with the public or society. Two-way communication is established with the public to provide support for management functions and objectives by increasing the development of cooperation and fulfilling common interests. So the role of public relations will be seen as an Expert Preciber (management expert or advisor). Public relations practitioners are considered as experts who can provide solutions to the public relations problems of an organization and management. Communication Facilitator means that public relations practitioners act as intermediaries, liaisons, translators and mediators, and ensure the realization of two-way communication between the organization and its public, Problem Solving Process Facilitator means that public relations is involved in solving organizational problems even though its role is still in the communication corridor.
Violation of the Principle of Cooperation in the Film Hangout by Raditya Dika
Authors: Irfan Muhammad , Taiman  , Amin Arip
Published: November 2024

This study aims to identify violations of the principles of politeness in the film "Hangout" by Raditya Dika. This study uses a qualitative descriptive approach and a pragmatic analysis method based on Grice's cooperative principle theory. The main focus of this study is to explore the forms of violations of the cooperative principle in the film's dialogues, by examining several violated maxims. Referential matching and Dell Hymess' SPEAKING approach are used in data analysis, which are collected through observation and analysis of film documents using the Free Listening and Speaking (SBLC) technique. According to the findings of the analysis, there are 46 violations of the cooperative principle covering several maxims such as quantity, quality, relevance and implementation. The film "Hangout" has several examples of significant violations of the cooperative principle, which highlights the need to understand and apply these rules in everyday interactions to avoid miscommunication.
Utilization Of Wordwall In Formative Assessment To Improve Students' Learning Outcomes In Physics Subjects
Authors: Fajaryati Dewi , Ratnawati Eka , Bahari Yohanes , Warneri
Published: November 2024

In the era of modern education, the use of digital platforms can be designed to facilitate interactive learning and formative assessment. This study aims to examine the use of the wordwall platform in formative assessment to determine the level of learning outcomes in physics subjects. The scope of the study includes the application of digital-based formative assessment on the topic of measurement in class X. The study applies a quantitative method with a quasi-experimental approach using the Post-test Only Control Group design. The study population consisted of all 210 class X students at SMA Negeri 1 Selakau. The sample taken was 70 students consisting of two groups: 35 students from class XD as the control group and 35 students from class XE as the experimental group. The data were analyzed using parametric statistical tests to identify significant differences between the post-test results of the control group and the experimental group, which were assessed through multiple-choice questions. The results showed a significance value (2-tailed) of 0.00, which is smaller than 0.05, so there is a significant influence in the use of Wordwall media compared to Google Form. This finding identifies that Wordwall can be an effective formative assessment media in improving student learning outcomes, especially in physics subjects. Therefore, the use of Wordwall as a formative assessment media can be considered not only for physics subjects, but also for other subjects, in order to support a more interactive and efficient formative assessment process.
Integration of Calculator.oi Application in Improving Mathematics Learning Outcomes of Students in Elementary Schools
Authors: Astuti Yayuk Dwi , Nurdiana  , Bahari Yohanes , Warneri
Published: November 2024

This study aims to evaluate the effectiveness of the Calculator.oi application integration in improving students' mathematics learning outcomes in Elementary Schools. This study focused on fourth-grade students at SDN 22 Ketapang and used a quantitative approach with an experimental method. In this study, the experimental method was applied to compare the differences in students' learning outcomes before and after using the Calculator.oi application. Learning outcome data were collected and analyzed using the Wilcoxon test, after the normality test showed that the data were not normally distributed. The results showed a significant increase in students' mathematics learning outcomes after using the Calculator.oi application. Analysis of the differences between pre-test and post-test scores revealed that all students experienced significant progress in their understanding and achievement in mathematics. The significance value obtained from the statistical test was below 0.05, indicating that this application had a significant positive impact and was effective in improving students' learning outcomes. Based on these findings, it is recommended that the Calculator.oi application be integrated more widely into the mathematics learning process in Elementary Schools. The use of this application is considered an innovative and effective learning medium in supporting the understanding of mathematical concepts. Further research is recommended to involve a larger sample size and different class variations in order to obtain more comprehensive and representative results. In addition, exploration of students' perceptions regarding the use of this application as a learning tool is also important. This will provide a deeper understanding of how the Calculator.oi application can be accepted and utilized in a broader learning context.
Analyzing the Impact of Multiple Foundation Stiffness Correlation on the Natural Frequency of Offshore wind turbines
Authors: Abdelghani Laib , Bakhti Rachid , Baizid Benahmed
Published: November 2024

The analysis of wind turbine behavior should avoid unplanned resonance, as it can increase fatigue damage. It is essential to rigorously evaluate the natural frequency of wind turbines in the initial design stage. This estimation can be done through two steps, the first one is the computing of the fixed base natural frequency of the wind turbine. The second is the estimation of the foundation stiffness effect. This paper examines the error margin of four correlations of foundation stiffness namely Randolph, Davies and Budhu, DNV, and Higgins in the estimation of the natural frequency of wind turbines. The fixed base natural frequency was estimated in this paper using a special-purpose finite element computer program called TurbiSoft through beam and volume elements. A reference 5.0 MW offshore wind turbine and 9 other turbines from different wind farms have been analyzed. For the fixed base natural frequency, obtained results demonstrate the reliability of the finite element program TurbiSoft through an error margin between 1-4% for the reference 5.0 MW offshore wind turbine. For the natural frequency of the whole system, the estimated error marking was between 9-20% which is an important value.This significant error is attributed to the low accuracy of these four correlation formulas for predicting the foundation flexibility contribution. The results from the four correlation formulas used are quite similar, with a difference in the error margin of less than 1%. However, the largest error margins are observed with the Higgins formula, which has been originally developed for short monopiles, even though the analyzed monopiles can be considered short, with monopile slenderness ratios less than 8.
The Future Healthy Countdown 2030 consensus statement: core policy actions and measures to achieve improvements in the health and wellbeing of children, young people and future generations
Authors: Lycett Kate , Lane Hannah , Frykberg Georgie , Maury Susan , Wallace Carolyn , Taafua Luisa , Morris Bernie , Hollonds Anne , Sahlberg Pasi , Kapeke Kevin , Brown Ngiare , Cory Jordan , Sly Peter D , Olsson Craig A , Stanley Fiona J , Price Anna M H , Saw Planning , Muse Khalid , Azzopardi Peter S , Sawyer Susan M , Glauert Rebecca , Reeves Marketa , Dundas Roslyn , Demaio Sandro , Calder Rosemary , Goldfeld Sharon R
Published: November 2024

Introduction

This consensus statement recommends eight high‐level trackable policy actions most likely to significantly improve health and wellbeing for children and young people by 2030. These policy actions include an overarching policy action and span seven interconnected domains that need to be adequately resourced for every young person to thrive: Material basics; Valued, loved and safe; Positive sense of identity and culture; Learning and employment pathways; Healthy; Participating; and Environments and sustainable futures.

Main recommendations

Provide financial support to invest in families with young children and address poverty and material deprivation in the first 2000 days of life.

Establish a national investment fund to provide sustained, culturally relevant, maternal and child health and development home visiting services for the first 2000 days of life for all children facing structural disadvantage and/or adversity.

Implement a dedicated funding model for Aboriginal and Torres Strait Islander community‐controlled early years services across the country to ensure these services are fully resourced to provide quality early learning and integrated services grounded in culture and community.

Properly fund public schools, starting by providing full and accountable Schooling Resource Standard funding for all schools, with immediate effect for schools in communities facing structural disadvantage.

Establish legislation and regulation to protect children and young people aged under 18 years from the marketing of unhealthy and harmful products.

Amend the electoral act to extend the compulsory voting age to 16 years.

Legislate an immediate end to all new fossil fuel projects in Australia.

Establish a federal Future Generations Commission with legislated powers to protect the interests of future generations.

Changes in approach as a result of this statement

Together, these achievable evidence‐based policies would significantly improve children and young people's health and wellbeing by 2030, build a strong foundation for future generations, and provide co‐benefits for all generations and society.
Management of people after stroke in 383 Victorian general practices, 2014–2018: analysis of linked stroke registry and general practice data
Authors: Olaiya Muideen T , Kim Joosup , Pearce Christopher , Bam Kiran , Cadilhac Dominique A , Andrew Nadine E , Sanders Lauren M , Thrift Amanda G , Nelson Mark R , Gall Seana , Kilkenny Monique F
Published: November 2024

Objective

To evaluate the management in Victorian general practice of people who have been hospitalised with stroke or transient ischaemic attacks (TIA).

Study design

Retrospective observational study; analysis of linked Australian Stroke Clinical Registry (AuSCR) and general practice data.

Setting

383 general practices in the Eastern Melbourne, South Eastern Melbourne, and Gippsland primary health networks (Victoria), 1 January 2014 – 31 December 2018.

Participants

Adults who had been hospitalised with acute stroke or TIA and had at least two encounters with the same general practice during the observation period (7–18 months after the acute event).

Main outcome measures

Assessment of cardiometabolic risk factors (blood pressure, serum lipids, blood glucose, urinary protein); prescribing of guideline‐recommended prevention medications (blood pressure‐, lipid‐, or glucose‐lowering, antithrombotic agents); attainment of guideline targets for cardiometabolic risk factors at final assessment during observation period.

Results

During 2014–2018, 3376 eligible AuSCR registrants (1465 women, 43.4%) had at least two encounters with one of the 383 general practices during the observation period; median age at stroke onset was 73.9 (interquartile range, 64.4–81.9) years, 737 events were TIAs (21.8%). Blood pressure was assessed in 2718 patients (80.5%), serum lipids in 1830 (54.2%), blood glucose in 1708 (50.6%). Prevention medications were prescribed for 2949 patients (87.4%), including lipid‐lowering (2427, 71.9%) and blood pressure‐lowering agents (2363, 70.0%). Blood glucose targets had been achieved by 1346 of 1708 patients assessed for this risk factor (78.8%), blood pressure targets by 1935 of 2717 (71.2%), and serum lipid targets by 765 of 1830 (41.8%). The incidence of having risk factors assessed was lower among patients aged 60 years or younger (incidence rate ratio [IRR], 0.97; 95% confidence interval [CI], 0.92–1.03) and those over 80 years of age (IRR, 0.92; 95% CI 0.88–0.97) than for those aged 61–80 years, and for women (IRR, 0.91; 95% CI, 0.87–0.95) and people with dementia (IRR, 0.89; 95% CI, 0.81–0.98). The likelihood of having classes of prevention medication prescribed was lower for patients aged 60 years or younger (IRR, 0.92; 95% CI, 0.88–0.97) and those over 80 years of age (IRR, 0.96; 95% CI, 0.92–0.997) than for patients aged 61–80 years, and for women (IRR, 0.95; 95% CI, 0.91–0.98) and people with dementia (IRR, 0.88; 95% CI, 0.78–0.98).

Conclusions

The general practice management of people who have been hospitalised with stroke or TIA could be improved. Effective monitoring of cardiometabolic risk factors will enable general practitioners to optimise care for people who need careful attention to prevent adverse secondary events.
A proof of convergence and equivalence for 1D finite element methods and ReLU neural networks
Authors: Katende Ronald , Kasumba Henry , Kakuba Godwin , M. Mango John
Published: November 2024

This paper investigates the convergence and equivalence properties of the Finite Element Method (FEM) and Rectified Linear Unit Neural Networks (ReLU NNs) in solving differential equations. We provide a detailed comparison of the two approaches, highlighting their mutual capabilities in function space approximation. Our analysis proves the subset and superset inclusions that establish the equivalence between FEM and ReLU NNs for approximating piecewise linear functions. Furthermore, a comprehensive numerical evaluation is presented, demonstrating the error convergence behavior of ReLU NNs as the number of neurons per basis function varies. Our results show that while increasing the number of neurons improves approximation accuracy, this benefit diminishes beyond a certain threshold. The maximum observed error between FEM and ReLU NNs is 10-4, reflecting excellent accuracy in solving partial differential equations (PDEs). These findings lay the groundwork for integrating FEM and ReLU NNs, with important implications for computational mathematics and engineering applications.
Syrian Civil War and Its Implication on Regional Politics
Authors: Mujeeb Afira , Wakil Imran , Liaqat Bilal Bin , Nawaz Adnan
Published: November 2024

Syria's strategic location at the crossroads of the Middle East, combined with its rich cultural diversity, has long made it a key player in regional politics. The ongoing Syrian war, which is in its tenth year, has serious effects on regional stability and international security. This article explains the importance of Syria's geopolitical position, its historical background and the serious impact of the war on the political region. Examining the complexity of war, its consequences, and international cooperation, this article highlights the complexity of the conflict and its profound impact on the Middle East and beyond. Religious landscape as a concept of place also adds to the complexity of the conflict. It analyzes the role of various regional and international actors, including Iran, Russia, the United States, and the European Union, in exacerbating or easing the conflict. Additionally, the article discusses the humanitarian crisis, the rise of terrorist groups and the impact of the war on neighboring countries such as Lebanon, Jordan and Turkey. He emphasizes that a political solution is needed for long-term security and peace in the Middle East. Examining the war, its consequences, and international cooperation, this article sheds light on the ongoing conflict between Syria and the future of the region; It sheds light on policymakers, academics, and anyone trying to understand the complexity of this important issue.
Disinformation and Mutual Trust: An Economic Model
Authors: HARASHIMA Taiji
Published: November 2024

Information or disinformation is more likely to be believed when it originates from a trusted person or source, indicating that the impact of disinformation varies significantly based on the level of trust involved. Additionally, one individual's judgment can be influenced by the judgments of others, and conversely, an individual's judgment can influence those around them. To explore this dynamic, the author constructs a model for uncovering disinformation and integrates it with a model of disinformation dissemination. The findings show that as the level of mutual trust within an economy or society rises, the likelihood of uncovering disinformation increases. Furthermore, a high level of mutual trust significantly reduces the acceptance and belief in disinformation, which in turn enhances the efficiency of various economic activities. Thus, mutual trust emerges as a key factor in achieving high levels of economic, social, and potentially political performance.Copyright© 2024 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.
Service Quality in Voluntary Property Insurance: A SERVQUAL-Based Approach for Poland and the USA
Authors: BORKOWSKI Stanisław , DZIEKAŃSKI Paweł , GIERULSKI Wacław , SABAT Anna , WENANCJUSZ PRZYBYTNIOWSKI Jarosław
Published: November 2024

This study investigates the evolving dynamics of service quality in the voluntary property insurance market, focusing on the integration of Polish and USA insurance companies within their respective internal and external environments. The primary aim is to evaluate the competitiveness of this market from the perspective of individual clients, with a specific emphasis on improving service quality. Employing a SERVQUAL-based framework, this research diagnoses key factors influencing service excellence and explores the processes involved in enhancing the quality of voluntary property insurance services in both Poland and the USA.A key achievement of this work is the comprehensive analysis of literature, identifying definitional criteria and conceptual underpinnings related to service quality improvement. The findings highlight potential areas for action and unresolved issues in the ongoing efforts to elevate the standards of property insurance services. As a result, a novel model for improving the quality of insurance services has been developed and described. This model introduces a new perspective on service quality, offering new tools for measuring, analysing, and assessing the improvement process. The study provides valuable insights into service quality enhancement, offering a practical, research-driven framework that insurers and policymakers can leverage for advancing customer service standards in voluntary property insurance.Copyright© 2024 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.
Unveiling Extreme Dependencies between Oil Price Shocks and Inflation in Tunisia: Insights from a Copula Approach
Authors: BEN SALEM Leila , JEGUIRIM Khaled
Published: November 2024

We follow a non-linear dynamic correlation approach using a combination of a DCC-GARCH model and a copula model to capture the dependence between oil price changes and inflation in Tunisia. The case of Tunisia is particularly instructive since after having been an exporter and a major producer, it became a net oil importer in the 2000s. The study, based on monthly data spanning decades, selects a Gumbel copula and shows that beyond weak average dependencies, there is a strong correlation between extreme values, suggesting that inflation in Tunisia is more sensitive to extreme (positive) variations in oil prices than to average variations. The implications of these empirical results for economic policy are crucial for the Tunisian economy.Copyright© 2024 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.
Smart Grids: Impacts and Challenges on Energy Sector
Authors: ALBANESE Marina , VARLESE Monica
Published: November 2024

Digitalisation, driven by the transformative impact of digital technologies, has an important role in the energy transition process. Advancements in these technologies are bringing about significant changes in how energy is generated, transmitted, and utilised. In particular, digital technologies enable modern smart grids to optimise energy management by integrating renewable energy sources more effectively. In this context, the paper explores the effects of smart grids on the energy transition, emphasising their benefits and the key incentives that promote investment. Addition-ally, it reviews current trends in smart grid development across European countries, with a specific focus on Italy. The objective is to provide a comprehensive overview of the investments required to implement both existing and new smart grid projects. Copyright© 2024 The Author(s). This article is distributed under the terms of the license CC-BY 4.0., which permits any further distribution in any medium, provided the original work is properly cited.