bluuebunny/crossref_metadata_2025 huggingface dataset:
Using MCFC for capturing CO2 from flue gases and delivering to Sabatier reactor for SNG synthesis
Authors: Milewski Jaroslaw , Martsinchyk Aliaksandr
Published: September 2024

In contemporary power generation, enhancing efficiency and mitigating environmental contamination are of paramount importance. The imperative to curtail greenhouse gas emissions stands as a preeminent challenge within this sector. Concurrently, there is a marked surge in the exploitation of renewable energy sources, which, due to their intermittent nature, precipitates the imperative for advanced energy storage solutions. This paper introduces an integrated system designed to address both the reduction of CO2 emissions and the storage of energy. The advocated system integrates a Molten Carbonate Fuel Cell (MCFC), Solid Oxide Electrolysis Cell (SOEC), and a Sabatier reactor. The MCFC is employed for its proficient CO2 capture capabilities at the cathode, exhibiting remarkable efficiency, operational flexibility, and a high CO2 separation quotient. The SOEC is recognized for its effective hydrogen production, leveraging high operational temperatures to augment hydrogen output while diminishing electrical energy consumption through thermal energy substitution. The Sabatier reactor is utilized for catalytic methanation, transforming CO2 into Substitute Natural Gas—a compound predominantly comprising methane and hydrogen with minimal CO2 and water traces. This system facilitates the capture and utilization of over 80% of CO2 from exhaust fumes, achieving an overall energy efficiency of 71%. The system's design and off-design operational parameters were meticulously modeled and analyzed.
From boom to bust on the Atlantic fringe - copper supply networks in the Irish later Bronze Age : An introduction to a recently funded research project
Authors: Bottaini Carlo , Brandherm Dirk
Published: September 2024

A recently funded project aims to investigate and identify the primary ore sources employed in the production of copper during the Later Bronze Age (1500–800 BC) in Ireland. We introduce the project and its objectives, with a focus on analytical methodologies.
Pressure Based Power Generation System
Authors:   Student at Ramnarain Ruia College, University of Mumbai., Nalekar Anish M
Published: September 2024

The growing global population and technological advancements are leading to a sharp increase in energy demand. Simultaneously, energy is being wasted across various domains, particularly in transportation. Harnessing this lost energy and converting it into usable forms is critical for sustainability. This paper presents a novel system for generating power using the pressure exerted by tires of electric vehicles (EVs) via piezoelectric transducers. The generated energy is then wirelessly transmitted to charge EVs, utilizing resonant inductive coupling. This system not only helps recover energy from everyday driving but also offers a potential solution to energy wastage. Experiments demonstrate the feasibility of this approach, with power transmission efficiencies exceeding 90% at moderate distances. Key Words: pressure-based power generation, piezoelectric transducers, wireless power transfer, electric vehicles, resonant inductive coupling, energy harvesting.
Optimizing Small-Scale Farming: A Review of Manually Operated Vegetable Seed Sowing Machine Performance
Authors: Shinde Shweta S , Munde Pandit A , Solanki Smita N
Published: September 2024

Small-scale farming plays a crucial role in global vegetable production, particularly in regions where resources and mechanized equipment are limited. Traditional manual sowing methods are labor-intensive and often result in inconsistent seed placement, leading to suboptimal crop yields. This review paper examines the performance of manually operated vegetable seed sowing machines as a means to optimize small-scale farming practices. By analyzing recent advancements and evaluating key performance metrics—such as field capacity, seed placement accuracy, labor efficiency, and cost-effectiveness—this review highlights how these machines can enhance productivity and reduce labor costs. The paper also discusses the influence of various design features on machine performance, including seed metering mechanisms, furrow openers, and ergonomic considerations. Through a comprehensive analysis of existing literature and case studies, this review aims to provide insights into the effectiveness of these machines and offer recommendations for future improvements to better support small-scale farmers. The findings underscore the potential of manually operated seed sowing machines to contribute significantly to the optimization of vegetable production in resource-constrained settings. Keywords: Small-Scale Farming, Manually Operated Machines, Seed Sowing Performance, Field Capacity, Labor Efficiency, Cost-Effectiveness, Machine Design, Ergonomics, Manual Sowing Techniques, Agricultural Innovation, Performance Metrics
Exploring The Impact of Educational Leadership on Secondary School Teachers' Professional Growth: A Comprehensive Survey
Authors: Mondal Prodeep Kumar , Patra Sarita Rani
Published: September 2024

The study titled "Educational Leadership: A Survey on Secondary School Teachers" was conducted in the Sadar block of Balasore, Odisha, with a focus on 121 teachers from 19 secondary schools. A sample of 93 teachers, selected using the Raosoft sample size calculator at a 95% confidence level through stratified random sampling, participated. The research aimed to explore leadership qualities among secondary school teachers, specifically comparing the perceptions of science and humanities teachers. Using percentage analysis, the study analyzed quantitative and qualitative data collected via questionnaires and standardized tools. The findings revealed that teachers generally have a positive perception of leadership traits such as interpersonal relations, intellectual operations, and emotional stability. However, many indicated a need for improvement in ethical and moral strength. While communication adequacy and operational citizenship were rated positively, a minority of teachers gave lower ratings in these areas. The study concluded with recommendations for schools to offer professional development programs, mentorship initiatives, and collaborative efforts to enhance leadership skills. Access to workshops, relevant literature, and conferences was suggested as essential for fostering continuous growth in educational leadership among teachers. Key words: Educational Leadership, Secondary School Teachers, Teacher Perceptions, Leadership Qualities
Mádl Ferenc, az MTA Állam- és Jogtudományi Intézetének kutatója (1958–1968)
Authors: Domaniczky Endre
Published: September 2024

Mádl Ferenc de facto 1958-ban kezdett el dolgozni az Állam- és Jogtudományi Intézet számára, amely pár évvel korábban, „1955. május 1. napjával [került] a Magyar Tudományos Akadémia […] felügyelete alá.” Az átvétel igazgatóváltással és személycserékkel járt, valamint „[s]or került újabb osztály felállítására is”. 1957-ben érkezett meg „a polgári jogi osztály élére” Eörsi Gyula, aki korábban „az igazságügyminisztériumban »keményvonalas« volt”, itt viszont „liberálisabban” viselkedett.
„Nem csalás, hanem ámítás”
Authors: Niklai Patrícia Dominika
Published: September 2024

„Nem csalás, hanem ámítás.” E frappáns kijelentéssel összegezte habilitációs eljárásában tudományos előadását a stellionatus vizsgálatáról Korsósné Delacasse Krisztina 2022. december 7-én.
„…kegyelmesen visszaadandónak és visszaküldendônek lenni találtuk…”
Authors: Bató Szilvia
Published: September 2024

A magyar büntetőjog-történeti kutatások történetében ritka esemény a forráskiadás, legutóbb Király Tibor (1920–2021) fordításában jelent meg Vuchetich Mátyás (1767–1824) 1819-ben kiadott korszakos műve. Különösen igaz ez a latin nyelvű kodifikációs termékekmagyar fordításának közreadására, ilyen 51(!) évvel ezelőtt történt utoljára, 1971-ben Hajdu Lajos (1926–1992) az 1795. évi tervezet szövegét és annak példamutató monografikus feldolgozását tette közzé. Erdélyi büntető törvénykönyv tervezetének közzétételeis Hajdu nevéhez fűződik, egy rövid, de rendkívül információgazdag bevezetővel adta közre Gál László (1777–1848) 1839. évi munkáját.
A vármegyei önkormányzat felügyeletének gyakorlati tapasztalatai az 1886–1887-es években
Authors: Papp Csaba István
Published: September 2024

A közigazgatás reformjához kapcsolódóan a törvényhozás 1886-ban új törvényt fogadott el a törvényhatóságok rendezése tárgyában, amely az előző, 1870. évi XLII. tc.-hez képest jelentős változásokat eredményezett. A törvényhatóságokról szóló 1886. évi XXI. tc. az 1886. július 8-i kihirdetését követően a belügyminiszter 37.621 számú körrendelete alapján 1886. augusztus 15. napján lépett hatályba. A két törvényt összevetve alig tűnnek fel azok a lényegi változtatások, amelyek a továbbiakban meghatározták a középszintű közigazgatási egységek további működését. Tisza Kálmán miniszterelnök és belügyminiszter úgy fogalmazott, a változtatásokkal csupán az addig a gyakorlatban jelentkező hibákat kívánták kiküszöbölni. A kormány célkitűzése elsősorban a közigazgatás további centralizációja és a törvényhatóságok felett gyakorolt felügyelet erősítése volt az új törvény elfogadásával. Ennek eszközéül a főispán jogköreit kiterjesztette, amely által a belügyminiszter számos okból beavatkozhatott a felügyelet gyakorlása során. A centralizációs törekvések ellenére a törvényhatóság által alkotott szabályrendeletek felterjesztésére és azok miniszteri jóváhagyására vonatkozó rendelkezéseket az új törvényi szabályozás viszont lényegében nem érintette.
„1723 – A magyar alkotmánytörténet nagy esztendeje” – konferenciabeszámoló
Authors: Erdei Evelin , Mikus Dóra
Published: September 2024

Az 1723-as év a magyar jogtörténetben kiemelkedő jelentőségű, hiszen ebben az évben szentesítették a Pragmatica Sanctiót, ami a magyar alkotmánytörténet egyik legfontosabb, legnagyobb hatású dokumentuma. Szintén ekkor állították fel a Helytartótanácsot, illetve bírósági reformokat is bevezettek. Magyarország 2023-ban ünnepelte ennek 300. évfordulóját, így ebben az évben országszerte több, a felsoroltakat középpontjába helyező konferenciát szerveztek. Az emlékév eseményeibe bekapcsolódva 2023. október 4-én az Eötvös Loránd Tudományegyetem Állam- és Jogtudományi Karának tanácstermében gyűlt össze számos kiváló előadó és érdeklődőa kar Magyar Állam- és Jogtörténeti Tanszéke, az MTA IX. Osztály Jogtörténeti Albizottsága és a HUNREN–ELTE Jogtörténeti Kutatócsoport együttműködése által megszervezett konferencián. A megjelenteket Beliznai Kinga (PhD habilitált egyetemi docens) tanszékvezető asszony köszöntötte. Megnyitó beszédében felidézte az 1723-as év történéseit, azok jelentőségét, valamint ismertette, hogy a konferencia ezek közül a Pragmatica Sanctióval és a Helytartótanáccsal fog foglalkozni, ennek megfelelően a tudományos tanácskozás két szekcióra oszlik.
Develop fundamental principles for a strategic framework that incorporates the combination and integration of business ecosystems
Authors: Abdullah Edwin Hidayat , Sijabat Rosdiana , Susilo Wilhelmus Hary , Herusetya Antonius
Published: September 2024

This study aimed to investigate the fundamental strategic principles necessary for achieving a competitive advantage by promoting business growth through the identification of synergies within the business ecosystem and the comprehensive integration of the business environment. A qualitative research methodology was employed, with a design focused on an extensive literature review. The analysis was based on 32 pertinent scholarly articles related to the primary themes of interest. Data analysis was performed using NVivo software to facilitate the literature review process. The findings underscored the theoretical enhancement of business strategies among stakeholders to secure a competitive edge. This included an assessment of the impact of policies on strategic consolidation within the holding company, while highlighting the significance of the business ecosystem in bolstering competitiveness. The research emphasized the creation of synergies as a means to achieve a competitive advantage and the alignment of members through the integration of the business ecosystem.
Univariate vs multivariate predictability analysis of electricity consumption by LSTM approach: An empirical evaluation
Authors: Yaprakdal Fatma
Published: September 2024

Precise prediction of EC is crucial for planning, managing, and cost-effective operation of power grids, as it is a time series problem. In recent years, numerous studies have analyzed the behavior and quality of time series forecasts in different areas, including the EC. New models or variants of traditional algorithms have also been proposed, usually taking advantage of the increasing amount of data available and of today's computing power, such as LSTMs. One of the most important characteristics in the selection of a forecasting method is the number of variables that must be taken into account in the prediction of the time series since most of these variables are subject to external influences. EC is dependent on a number of external factors, such as climatic factors, economic factors, and the spot price of electricity. The EC dataset may be either univariate or multivariate. When dealing with univariate time series data, it's important to utilize specific methods that take only the historical values of the variable into consideration for accurately estimating its pattern. Prediction methods that analyze dependencies and correlations between variables to predict future values are also suitable for multivariate time series. Nevertheless, these approaches usually need more time to compute and train, and they might not even be the most appropriate way to go, because the increased complexity of the model used could outweigh any possible improvement in prediction accuracy. In this paper, a thorough comparison study was conducted to analyze the effectiveness of univariate and multivariate predictive analysis on two separate sets of EC data at hourly and daily intervals. To accomplish this, the LSTM algorithm was utilized, which has recently been widely used and recognized as the best-performing algorithm in EC forecasting studies. The comparative analysis is complemented by a comprehensive literature review, meticulously presented in a tabular format, to offer a comprehensive understanding of the univariate and multivariate forecasting methodologies and their respective outcomes. This study stands out due to its incorporation of an extensive literature review to support the experimental research, ensuring a thorough evaluation. Based on experimental studies, univariate forecasting analysis outperformed multivariate forecasting analysis for both hourly and daily interval data sets. Furthermore, the R-squared results of the univariate and multivariate predictive analyses conducted with the hourly data set are significantly higher than those of the same predictive analyses in the daily interval.
Forensic analysis of bad USB attacks: A methodology for detecting and mitigating malicious USB device activities
Authors: Fakiha Bandr Siraj
Published: September 2024

BadUSB is one of the most dangerous cybersecurity threats, given that it uses the firmware of USB devices to perform various undetectable actions with numerous tools. This research aims to evaluate the efficiency of different forensic approaches, such as signature-based detection, behavioral analysis, and the machine learning (ML) approach, in detecting and analyzing BadUSB attacks. Experiments were conducted with preconfigured USB peripherals to perform keystroke injection, data exfiltration, malware delivery, and network traffic manipulation. The analysis shows that the behavioral analysis and the ML-based methods show high detection accuracy and low false positives. Machine learning detection is the most efficient method. Behavioral analysis had higher accuracy in detecting abnormal device behavior but had a longer detection time than the ML methods. This research beneficently addresses the issues and challenges in the field of digital forensics and calls for further improvement in the detection methods. It proposes ways to implement these methods within the existing cybersecurity models. Future studies should focus on the best approaches to fine-tune these techniques, diversify datasets for machine learning detection methods, and advance methodologies in forensics to accommodate new generations of technologies like the Internet of Things and cloud systems.
Study on the protection of Mongolian Chor music as cultural heritage in Northern China
Authors: Chen Yao , Abidin Ahmad Hisham Bin Zainal , Muhid Syamsul Hirdi
Published: September 2024

The Mongolians in northern China have a vast distribution and a long history. Chor music is the cultural heritage of Mongolian in the north. After the rise of "Intangible Cultural Heritage upsurge" in the 21st century, scholars and folk artists rose to protect it and there were successively studies on Chor music theory, Chor music form and Chor historical evolution. However, scholars only focus on the research on the origin, classification, evolution and protection of Chor music, while the research on the relationship between Chor music and modern culture, summarizing that Chor music can be widely spread and recognized in modern society is lacking. This study mainly adopts qualitative methods in empirical research with literature research, field investigation and interview etc. to discusses the modern forms of Chor music, analyze the adaptation techniques in modern Chor works and identifies the musical elements recognized by the public. Therefore, we draw the conclusion of four-dimensional protection methods which includes preservation, innovation, crossover and communication.
Strategic design to ensure the sustainable productivity of military division government organization
Authors: Sari Rini Mulyani , Nugraha Evan
Published: September 2024

This study aims to analyze the impact of the balanced scorecard and good corporate governance on the productivity of military government organizations and develop strategies to ensure their sustainability. This research implements a mixed-methods strategy utilizing a sequential explanatory research plan. This process is followed by a Mapping strategy, culminating in the presentation of conclusions. One hundred individuals who worked in military government agencies were surveyed as part of this study. This analysis comprises quantitative and qualitative data collected from 100 personnel of the government agency within the military division. This study determined that the environment is the primary factor in guaranteeing the long-term productivity sustainability of government organizations within military divisions. The implication is that leaders need to conduct in-depth research and be aware of environmental changes, both internal and external, that occur in military departmental government organizations.
Information protection and cyber security in the public and financial sectors
Authors: Chumak Oleksandr , Holovkin Serhii , Piroh Oleksandr , Pushkar Tetiana , Diegtiar Oleg
Published: September 2024

The public sector faces increasing challenges in the field of cyber security and information protection, stimulated by the rapid development of digital technologies. A significant increase in the need for reliable protection of state data and information systems requires state institutions to implement complex information protection measures. The purpose of the study is to analyze modern approaches and technologies in the field of cyber security and the use of encryption, cryptography, and the use of cloud technologies that can be used in the public sector for effective information protection. The research methodology involves consideration of strategies that allow to increase the level of security and ensure the protection of critical infrastructure. The results of the study emphasize the need to adapt to the rapidly changing digital environment and involve modern technological solutions to create a reliable information network system in the public sector. The findings of the study draw attention to the importance of global cooperation and increased investment in the field of countering digital attacks, demonstrating examples of effective international cooperation and support in this direction. The need for the integration of international standards and practices in order to create a global digital space has been revealed. A promising area of research is the analysis of the impact of the latest technologies on data storage strategies, which contributes to the identification of ways for further innovations in the industry and the creation of flexible information network systems capable of effectively responding to changing conditions and challenges of modern cyberspace.
A study on the transformational leadership of madrasah principals from the perspective of educators and educational staff
Authors: Mulyadi Mus , Sobri Muhamad , Sobri Muhamad
Published: September 2024

This study aims to understand the perceptions of teachers and educational staff regarding the transformational leadership style of Madrasah Principals in Bengkulu Province, Indonesia. The study uses a descriptive research design with several variables: Madrasah level, position within the Madrasah, teacher expertise, educational qualifications, work experience, and gender. To achieve this goal, the researcher designed a questionnaire consisting of 6 indicators and 17 question items, distributed electronically at random from 03-02-2024 to 18-08-2024, with a total of 615 respondents. The results of the study indicate that the transformational leadership of Madrasah Principals in Bengkulu Province can be concluded as a leadership style that motivates teachers and educational staff, enabling them to grow and achieve optimal performance. The transformational leadership in these madrasahs is also characterized as charismatic, where subordinates place trust in their leaders. Additionally, the principals have successfully directed the staff to act in alignment with the shared goals. Furthermore, the principals have stimulated enthusiasm among subordinates for individual and group tasks, as well as addressing issues at hand. The madrasahs in Bengkulu Province have developed rapidly and have become a source of pride for the community. Madrasahs with transformational leadership are expected to maintain the quality of the institution, the vision and mission, and its flagship programs, thereby strengthening the quality of religious education for the younger generation.
Assessing the impact of climate variability on wheat yield in Bloemfontein wheat farms through time series analysis
Authors: Mohale Vincent Zibi , Obagbuwa Ibidun Christiana
Published: September 2024

Climate change, characterized by long-term shifts in global or regional weather patterns, is a consequence of natural processes and human activities. These shifts encompass al-terations in temperature, precipitation, wind patterns, and other climatic variables, all of which exert direct influence on crop growth, development, and overall agricultural productivity. Comprehending the intricate relationship between climate change and crop production is par-amount for formulating strategies to counteract adverse effects and adapt to evolving conditions. This study focuses on assessing the impact of climate variability on wheat yield in Bloemfontein wheat farms through rigorous time series analysis. The research involved the application of various time series models, including SARIMA, ARIMA, Facebook Prophet, LSTM, VAR, and Multiple Linear Regression. The investigation began with forecasting temperature patterns using SARIMA and Facebook Prophet models. SARIMA outperformed Facebook Prophet in this context, as evidenced by lower RMSE and MSE metrics. Subsequently, the study delved into predicting rainfall and precipitation, employing ARIMA and LSTM models. In this case, LSTM demonstrated superior predictive capabilities. Finally, wheat production yield was analyzed using VAR and Multiple Linear Regression, with VAR yielding more accurate predictions. The findings of this study hold profound implications for policymakers, farmers, and stakeholders deeply invested in agriculture and food security. By shedding light on the repercussions of climate change on crop production through the application of time series analysis, this project aspires to contribute to developing sustainable agricultural practices, robust farming systems and proactive policies de-signed to mitigate the adverse effects of climate change on global food production.
Metabolic syndrome and its clinical and laboratory indicators in relation to outdoor physical activities: walking, Nordic walking, and cycling
Authors: Sokolova Juliana , Požarskis Anatolijs , Požarska Rita
Published: September 2024

Aim of the study is to investigate the relationship between outdoor walking and sports activities and the clinical and laboratory indicators of metabolic syndrome. Data for the research were collected through the use of questionnaires, anthropometric measurements, and laboratory tests. Using the National Diabetes Federation guidelines, the data were analyzed to determine whether the respondent had metabolic syndrome. Data analysis was conducted on a sample of 380 patients with metabolic syndrome. The study was conducted through quantitative analysis of cross-sectional data. The descriptive part involved conducting variable frequency and cross-tabulation analysis. Odds ratios were calculated using univariate and multivariate logistic regression models. The odds of increased glycosylated hemoglobin (HbA1c) were 1.8-fold lower in the physically active group than in the non-exercise group (the adjusted odds ratio model for sex, age, and smoking (aOR) = 0.56, 95% confidence interval (CI) 0.34–0.95). The odds of reduced high-density cholesterol (HDL-cholesterol) were three times lower in the physically active group than in the non-exercise group (aOR = 0.29, 95% CI 0.18–0.48). The odds of obesity were 3.7 times lower among patients who exercised than among those who did not (aOR = 0.27, 95% CI 0.10–0.68). Outdoor physical activities have a statistically significant effect on HbA1c levels, HDL-cholesterol, and obesity in patients with metabolic syndrome. Metabolic syndrome patients can be advised to engage in physical activities in order to improve their health.
Impact of marketing capabilities on competitive advantage: A case of thai sme durian exporters
Authors: Kunanusorn Anusorn , Puttawong Duangporn , Li Shaoyun
Published: September 2024

Purposes of this study were to highlight the role of durian exporters’ marketing capabilities in achieving competitive advantage among Thai SMEs, and to describe the significance of a competitive advantage in achieving marketing goals by examining marketing capabilities. One hundred SME exporters were randomly selected from the list of firms listed on the Association of the Durian Exporters. Ninety-six questionnaires were included in this study. The PLS-SEM Program was used to analyze the collected data which was collected by using a mail questionnaire distributed to SME exporters. Results from data analysis were: 1) it indicated that all marketing capabilities, including product, price, distribution, and promotional capabilities, impacted competitive advantage; and 2) five competitive advantage forces were found to have statistically significant impacts. Moreover, the analysis confirmed that marketing capabilities and competitive advantages were related. Implications from this study were: 1) exporters find their endeavors to develop marketing strategies to achieve competitiveness in the global market; and 2) exporters could focus on distribution capabilities to survive and to expand their product to gain a competitive advantage in the marketplace. The limitation of this study was that this study did not involve quality assurance and variety of the durian, which would affect price capacity.
Competitiveness of Azerbaijan`S T&T industry and its impact on the regional economy
Authors: Ibrahimov Eltun Yulat , Alakbarov Ashraf Umud , Kerimova Flora Bahlul , Alakberov Rasul Safar
Published: September 2024

In the last few years, the World Tourism Organization (UNWTO) has reported that the tourism industry has expanded significantly. According to the annual survey of economic impact, despite a very complex and turbulent economic situation in 2023-2024, the travel and tourism sector recorded significant growth in global GDP last year, and this is forecast to repeat in 2025. Overall, tourism will remain a promising engine for greater economic development and sustainable growth across a wide geographic spectrum, with a particular focus on strengthening the position of the developing world as a sector of the economy. This global trend has a positive effect on the tourism profile of Azerbaijan, whose tourism industry has achieved significant development in recent years. Against the background of the new realities created by the post-pandemic era, the noticeable increase in tourism indicators in Azerbaijan brings the regional perspectives of its economic competitiveness to the fore. This article describes how competitive is Azerbaijan's T&T industry in today's global economic challenges. The possibilities of the tourism system of Azerbaijan to influence the South Caucasus are also analyzed.
Gifted students: Analysis among psychological problems, social, and emotional well-being
Authors: Suyitno Suyitno , Winarto  , Sulistiana Devita , Supriyono
Published: September 2024

Gifted and talented learners experienced life's storms and stresses just like their peers. However, because of their unique characteristics, they also dealt with some psychological issues such as anxiety, stress, and depression, which are closely related to their gifted characteristics. This research aims to examine: (a) psychological problems, (b) psycho-social and emotional well-being, and (c) the connection between gifted and talented students' wellbeing and psychological issues. This research design uses descriptive quantitative methods. A series of questions (DASS) were used to gather data from 112 gifted students, who were involved in this research and identified as gifted students. Next, the DASS and Social Well-Being questionnaires were collected and compared, to determine psychological problems and social well-being among gifted students. Descriptive (mean) and inferential analyzes were carried out on quantitative data. Analysis shows that there are psychological problems in gifted students at school, namely depression, stress and anxiety. The findings indicate that stress is one of the most prevalent issues (mean=33.8), followed by anxiety (mean=33.2) and depression (mean=24.9). Apart from that, the research results also show a negative correlation between psychological problems and well-being.
Evaluation of golfers’ performances in the ladies professional golf association tour based on bootstrapped data envelopment analysis and latent growth curve model
Authors: Kim Beom-Jin , Kim Taeho
Published: September 2024

A latent growth curve model and bootstrapped data envelopment analysis were used to examine the performance and changes in professional golfers on the Ladies Professional Golf Association tour. The panel data for both analyses were obtained for the last three seasons (from 2020 to 2022). The dependent variable was the official money list of players, whereas the independent variables consisted of efficiency factors, technical factors (number of birdies, eagles, and hole-in-ones), mental factors (driving and putting accuracies), and career length. Each factor, other than the efficiency factor, was determined by the weighted combination of parenthesized variables using principal component analysis and was measured as two latent variables of the intercept and the slope of the growth pattern for the three seasons. The efficiency factor was measured using data envelopment analysis and its z with the output factors of scoring average and the percentage of rounds in the 60s, and the input factors of driving distance, greens in regulation, number of putts per green hit in regulation, and sand savings. The results confirm the homogeneity in players’ efficiency and prove Penick’s claim that golf performance is dependent on various factors and that golf is psychological.
Sustainable leadership among financial managers in Spain: A gender issue
Authors: Bulmer Elene , Zamarrón Ivan , Yañez-Araque Benito
Published: September 2024

Finance plays a key role in supporting sustainable companies, thereby contributing, and supporting the transition towards a low carbon and circular economy. At the strategic level, finance can aid companies make decisions regarding the trade-offs between their sustainable goals. Therefore, key players in this respect are finance managers who need to take decisions regarding the latter. This study analyzed the level of sustainable leadership among financial managers in Spain. A total of 131 senior financial managers (106 men and 25 women), from various sectors in Spanish companies (a multi-sector study), responded to two scales: the Honeybee Sustainable Leadership Scale (focusing on stakeholder orientation and a vision of social and shared leadership) and the Locust Leadership Scale (primarily centered on achieving short-term profits at any cost). A descriptive analysis of the sample was conducted. The t-test was applied for comparing means and the Mann-Whitney U test statistical technique was used under conditions where the assumptions of normality and homogeneity of variance were violated. In the hypothesis testing, a significance level of p<0.05 was employed. The main finding was that female financial managers scored significantly higher on the Honeybee Leadership Scale compared to their male counterparts, signifying that female presence is key to sustainable leadership. Therefore, including women in higher corporate-level positions would contribute to a more sustainable approach in management. Furthermore, it was also found that the organizations in which the financial managers worked tended to undertake a hybrid approach to sustainable leadership. Most companies undertook a hybrid perspective incorporating elements of both diametrically opposed bee and locust leadership philosophies.
User experience testing methods: Conclusions from the literature
Authors: Koloszár László , Bednárik Éva , Erdős Ferenc , Thinakaran Rajermani , Takáts Alexandra
Published: September 2024

Industry 4.0 focuses on the digitalization of production processes and technological innovation. The concept of Industry 5.0 puts the focus on human-centricity, sustainability, and resilience at the heart of research and development and innovation (R&D&I) processes to allow industry to serve humanity with a long-term vision that considers planetary boundaries. Replacing the technology-driven approach with a fundamentally human-centric approach requires a deep understanding of the working environment and workers interacting with machines to optimize worker well-being, working conditions, and job outcomes. Analyzing computer work User eXperience (UX) in industrial environments is vital. However, user perceptions are usually hidden and a challenge to detect. Therefore, measuring and monitoring perceptions, emotional reactions, subjective elements, preferences, and attitudes in the relationships between usability, work performance, and workload is crucial. This study provides conclusions of a literature review on user experience studies focusing on UX testing methods and the disciplines linked to industrial diversification. Based on literature analysis, it identifies UX testing methods and create own grouping to analyze them. It also examines the disciplinary context of user experience testing.
The influence of Kahoot-based TBLT in improving the critical reading skills in higher education
Authors: Wibowo Amiruddin Hadi , Munir Ahmad , Suhartono
Published: September 2024

This study aimed to assess the effectiveness of Task-based language Teaching (TBLT) approach through Kahoot in improving EFL students’ critical reading skills. The study used a quasi-experimental method with a pre-experiment design involving a pre and post-test for one group. The research was conducted with 70 students (15 males and 65 females) from the Department of English Education at a Private University in Indonesia. The Kahoot-based TBLT approach was used to assess students' critical reading skills. The data were analyzed utilizing paired t-tests and N-gain to determine the effectiveness. The result showed a significant improvement in critical reading skills from the pre-test to the post-test after using the Kahoot-based TBLT model. the findings indicate that the Kahoot-based TBLT model is a successful approach in improving students' critical reading skills. Therefore, it can be concluded that Kahoot-based TBLT is effective in improving EFL students’ critical skill. Future research recommends the usage of Kahoot-based TBLT by educators to increase academic success in English language learning for higher education students.
Impact of over-the-top video providers on viewing satisfaction and its effect on watching a movie in cinema: Bridging preferences and challenges
Authors: Susilo Daniel , Hidayat Endik , Winarko Hilarius Bambang , Dalangin Jerico John G.
Published: September 2024

Netflix, Disney Hotstar, Amazon Prime, and VIU are projected to abolish cinema due to fierce competition. Traditional cinema businessmen blame the COVID-19 pandemic for exacerbating cinema's collapse. Streaming services are more like websites than TV and movie theatres in terms of distribution and accessibility. Streaming platforms provide users more control over content selection and consumption, changing how they watch TV and films. This study compares OTT video provider viewing pleasure to cinema viewing satisfaction.  Satisfaction is essential to understanding customer decisions and entertainment. Analysing and comparing both mediums' satisfaction levels will reveal what influences viewers' tastes and entertainment choices. This survey-based investigation was quantitative. OTT users and cinemagoers in Greater Jakarta (Jakarta-Bogor-Depok-Tangerang-Bekasi) were surveyed. June 2024's survey. This study compares OTT and cinema viewing satisfaction. 148 respondents were used in this investigation. This study sheds light on the changing dynamics between OTT video providers and traditional cinema experiences. The research will also help industry practitioners understand viewers' preferences and optimise their offers to increase satisfaction and competitiveness. This study compares OTT video providers' viewing satisfaction to cinema experiences to better understand viewers' leisure preferences. The findings will help industry players decide on content generation, distribution, and user experience improvements. This study contributes to the discussion over entertainment consumption's future and customer pleasure.
Research on the volatility forecasting model of KOSPI index returns using AR(M)-GARCH(P,Q) model
Authors: An Chang-Ho
Published: September 2024

In this study, we estimated the volatility of the KOSPI index returns and analyzed volatility trends. The data used in the study consisted of monthly observations from January 2005 to December 2022, and the KOSPI index raw data was transformed into log returns. The volatility estimation model used the AR(m)-GARCH(p,q) model, which combines the autoregressive error model and the GARCH model that explains the persistence of volatility at low orders. The goodness of fit of the model was confirmed using the Portmanteau Q-test and LM-test. Applying the autoregressive error model revealed significant autocorrelation in the log returns of the KOSPI index at lags 3 and 6. Residual analysis indicated that the residuals followed white noise, but the squared residuals exhibited heteroscedasticity. Therefore, after fitting the autoregressive error model, we applied the GARCH model and conducted residual analysis, finding both the residuals and squared residuals significant at a 5% significance level. The volatility forecasting results indicated a continuous increase in volatility. The findings of this study are expected to provide important implications for policymakers responsible for risk management in the Korean stock market.
Effects of marital intimacy, social support, and health status of middle-aged women on healthy aging
Authors: Lee Hyea-Kyung
Published: September 2024

The purpose of this study is to identify the factors affecting healthy aging among middle-aged women, focusing on marital intimacy, social support, and health status. The study participants were middle-aged women aged 40-59 residing in D city, Chungnam, and C city, Chungbuk, and 180 questionnaires were collected and analyzed. The study found that health status (β=-.273, p<.001), social support (β=.262, p<.001), lack of hobbies (β=-.199, p=.002), dissatisfaction with life (β=-.173, p=.006), having one chronic disease (β=.141, p=.020), and moderate life satisfaction (β=-.124, p=.050) were significant factors influencing healthy aging. Therefore, to promote healthy aging in middle-aged women, it is necessary to develop and apply health programs that include maintaining good health from middle age, strengthening social support, enjoying hobbies, increasing life satisfaction, and managing chronic diseases.
G20 culture power analysis study
Authors: Park Jeong-Bae
Published: September 2024

Focusing on brand equity, this study explored the impact of storytelling, a variable that influences local visual culture infrastructure, on customer satisfaction. Data for quantitative study were collected from four different cases including small-sized cinemas and public media centers. The collected data were analyzed using descriptive statistics, exploratory factor analysis, and structural equation modeling to identify causal relationships between variables. Through theoretical consideration, storytelling was extracted as the significant influencing variable on customer satisfaction in local visual culture infrastructure. This study found that the effects of storytelling are mediated by brand equity. Going forward, further research needs to be conducted to explore diversified variables influencing customer satisfaction in local visual culture infrastructure.
The impact of positive psychological capital, problem solving ability and clinical competence on career adaptability in nursing students
Authors: Shin Eun Hee , Lee Hyea Kyung
Published: September 2024

The purpose of this study is to identify the factors affecting career adaptability in nursing students, focusing on positive psychological capital, problem-solving ability, and clinical competence. The study participants were fourth-year nursing students from one university in Chungbuk and one university in Gyeongbuk, with 151 questionnaires analyzed. The results indicated that positive psychological capital (β=.87, p<.001) was the significant factor affecting career adaptability (F=197.050, p<.001), explaining 78.6% of the variance. Based on these findings, it is recommended to use this study as foundational data for developing nursing education programs to enhance career adaptability in nursing students.
Effects of field activities by age of 119 emergency response team on the blood pressure, pulse, respiration, and quality of cardiopulmonary resuscitation
Authors: Yi Seungku , Kong Hasung
Published: September 2024

This study analyzed the physical changes according to age and the quality of cardiopulmonary resuscitation through experiments by 119 EMT in transporting equipment at the first aid site and performing post-cardiopulmonary resuscitation. In all ages, cardiopulmonary resuscitation was performed without physical load and CPR was performed after moving the equipment, first, the pulse was significantly increased, and the average pulse was measured higher than in other higher age groups under the age of 30. Second, respiratory changes were significantly increased, and average breathing was measured higher than in other higher age groups when CPR was performed after wearing personal protective equipment and moving the equipment. Third, as for changes in blood pressure, all blood pressure rose, and the average blood pressure in the 40s and older was measured higher than that of the younger age. Fourth, in the quality change of cardiopulmonary resuscitation, the pressure rate was found to have a statistically significant difference in those under 30, 30 to 34, and 35 to 39 years of age, and it was measured that the speed was maintained without change in those over 40. Finally, there was a statistically significant difference in pressure depth between those under 30 and those under 35-39 years old, and the average depth was measured deeper than other higher age groups, so it is necessary to develop differentiated education and training methods at those under 30 years of relatively little experience.
Properties of core specimens according to core diameter and coarse aggregate volume
Authors: Lee Jeonho , Lee Jeongtaek , Jeon Eunyeong , Lee Sangsoo
Published: September 2024

Among methods for safety diagnosis of concrete, estimation of the compressive strength using core specimens, despite excellent accuracy, is less preferred than non-destructive testing methods due to a number of problems. Therefore, the object of the present study is to produce basic data for estimation of small-diameter core specimens by analyzing the ratio of compressive strength versus core specimen diameter, and analyzing the correlations between coarse aggregate volume and ultrasonic pulse velocity. Results showed that the compressive strength tends to decrease as the diameter of the core specimen decreases, and that the ultrasonic pulse velocity tends to increase with the coarse aggregate volume.
Factors influencing clinical reasoning competence in nursing students
Authors: Kim Jinju , Kang Gyun-Young
Published: September 2024

This study is a descriptive survey research aimed at identifying the factors influencing clinical reasoning competence among nursing students. The participants were 553 third-year students from nursing programs at three universities located in the K region of South Korea. The collected data were analyzed using the SPSS 23.0 program, employing Pearson’s correlation coefficient and multiple regression analysis. According to the research results, the factors affecting the participants' clinical reasoning competence were found to be communication skills (β = 0.23, p = 0.000), problem-solving processes (β = 0.50, p = 0.000), and self-efficacy (β = 0.10, p = 0.008). Therefore, it is necessary to assess the effectiveness of various educational programs and teaching methods for improving clinical reasoning competence. The study suggests developing and researching programs focused on enhancing communication skills, self-efficacy, and problem-solving processes to improve clinical reasoning competence among nursing students.
Performance evaluation of housing price index prediction model using DNN and SVR
Authors: An Chang-Ho
Published: September 2024

This study used the base interest rate, mortgage interest rate, deposit interest rate, consumer price index, exchange rate, and composite stock price index as variables to predict the housing price index. The variables were normalized using the min-max normalization method. Machine learning methods, Deep Neural Networks (DNN) and Support Vector Regression (SVR), were employed to construct a prediction model, and the fit of the model was evaluated using the Root Mean Square Error (RMSE). The analysis results of the DNN model indicated that when applying the softplus activation function, the RMSE was 0.1298, resulting in the smallest prediction error, and the correlation coefficient between the predicted and actual values was highest at 0.9342. The analysis results of the SVR model using the Gaussian RBF kernel showed that the RMSE was smallest at 0.2781 when the parameters were set to C=100 and Gamma=0.1. Therefore, the DNN model was found to be more fit for predicting the housing price index. Additionally, it was confirmed that the consumer price index had a non-linear effect with a positive relationship, and the base interest rate had a linear effect with a negative relationship.