Contribution Of Research Research Articles

Evaluating virtual reality technology in psychotherapy: impacts on anxiety, depression, and ADHD

BackgroundMental health issues pose a significant challenge for medical providers and the general public. The World Health Organization predicts that by 2030, mental health problems will become the leading cause of global disease burden, highlighting the urgent need for effective mental health interventions. Virtual reality-cognitive behavioral therapy (VR-CBT) has emerged as a promising treatment for neuropsychiatric disorders, offering immersive and engaging therapeutic experiences.ObjectiveThis study aims to assess the advancements in applying virtual reality (VR) technology for diagnosing and treating mental illnesses such as anxiety, depression, and attention deficit hyperactivity disorder (ADHD). It also explores the integration of artificial intelligence (AI) with VR technology in mental health treatment and introduces the CBT-CHAT Treatment Framework to enhance cognitive behavioral therapy.MethodA systematic search was conducted across the databases of Google Scholar, PubMed, and Web of Science, followed by a scoping review. Duplicates were removed using the EndNote literature management software. Each article was then carefully read and evaluated for its research content, methodology, results, and contribution to the application of VR technology in mental health domains.ResultsThe search retrieved 686 articles, and after applying inclusion and exclusion criteria, 32 articles were ultimately selected. These articles covered the application of VR in anxiety, depression, and ADHD. The research results indicate that VR shows promising outcomes in the diagnosis, treatment, and rehabilitation of anxiety, depression, and ADHD, particularly in the diagnosis, treatment, and rehabilitation of ADHD.ConclusionThe previously published studies consistently demonstrate that VR is an effective tool for supporting the treatment of mental illnesses across various settings and recommend its incorporation into clinical practice.

Understanding underwriter uncertainty in rugby league related concussion

ABSTRACT Purpose/Rationale The purpose of this exploratory paper is to critically explore the liability underwriting landscape for insuring concussion risks in rugby league in the UK. Design/Methodology/Approach The authors approached this study using a qualitative methodology via exploratory expert interviews with four experienced liability underwriters and interpreted the data using thematic analysis. Findings The issues of causation and volatility are of immediate concern for underwriters causing systemic uncertainty. The inherent risk relating to the game of rugby league, physiology of participants and degenerative diseases such as CTE are identified as significant risk factors when evaluating concussion liability risks in rugby league. Practical Implications The findings of this study have implications for rugby league stakeholders including the RFL leadership, scientists, doctors, lawyers, insurance brokers and risk managers, to produce scientific data for the underwriting community to greater understand the concussion exposure. Research Contribution Sports concussion research concerning the liability insurance market is drastically underexplored. This study is at the beginning of researching this specific field. These novel findings provide insights to help explain the current state of underwriting concussion liability in rugby league. Originality/Value The authors understand that this study is the first to be conducted with underwriters regarding the issue of concussion in rugby league. It is important to change the direction of travel between underwriters and rugby league.

Practice Brief: Academic Research Supports Translation Pathways for Clinical Impact in Structured Journal Clubs

Academic research plays a pivotal role in creating and sustaining pathways for clinical impact. Over nine years, a series of collaborative research projects informed the translation pathway for structured journal clubs within a tertiary health service. This pathway included conceptualisation, implementation, sustainability and spread of research evidence into practice within the innovative journal club initiative. This brief identifies four key stages of the pathway, summarising the contribution of research to support ongoing practice transformation.

Thermodynamic Models of Solid Oxide Fuel Cells (SOFCs): A Review

In the delicate context of climate change and global warming, new technologies are being investigated in order to reduce pollution. The SOFC stands out as one of the most promising fuel cell technologies for directly converting chemical energy into electrical energy, with the added benefit of potential integration into co-generation systems due to its high-temperature waste heat. They also offer multi-fuel flexibility, being able to operate on hydrogen, carbon monoxide, methane, and more. Additionally, they could contribute to carbon sequestration efforts and, when paired with a GT, achieve the highest efficiency in electricity generation for power plants. However, their development is still challenged by issues related to high-temperature materials, the design of cost-effective materials and manufacturing processes, and the optimization of efficient plant designs. To better understand SOFC operation, numerous mathematical models have been developed to solve transport equations coupled with electrochemical processes for three primary configurations: tubular, planar, and monolithic. These models capture reaction kinetics, including internal reforming chemistry. Recent advancements in modeling have significantly improved the design and performance of SOFCs, leading to a sharp rise in research contributions. This paper aims to provide a comprehensive review of the current state of SOFC modeling, highlighting key challenges that remain unresolved for further investigation by researchers.

Diversification in Business Valuation

Abstract The importance of the diversification and the related diversification factor in business valuation has not been studied in depth. In CAPM, due to the model assumptions, it is implied that an investor holds a perfectly diversified portfolio, which answers the question of diversification. The objective of this paper is to clarify the definition of diversification and to show how diversification effects can be incorporated into business valuation. Our research contribution entails demonstrating methods to capture the risk situation of an investor based on its asset allocation and then deriving the diversification effect from this assessment. As a methodological approach, we have opted for one that encompasses the most diverse degrees of diversification. Our analysis shows that this approach captures all non-hedged risks and thus performs a stand-alone valuation without diversification effects. If the diversification effect of a specific portfolio is to be included in the valuation, the analyst must shift from a stand-alone approach to a portfolio based approach, where the diversification factor cannot simply be equated with the correlation coefficient but must be calculated using various aggregation methods. Given that the conventional variance-covariance method excludes extreme risks, we propose the use of the copula approach. This approach can enhance risk modeling and yield more accurate results in diversification effect calculations. Our analysis demonstrates that it is possible to effectively model different diversification effects in business valuation. However, this entails substantial data expenses and demands a high degree of methodological expertise from the analyst.

Concept mapping perceptions of climate impacts on sport participation: perspectives from community-level managers

ABSTRACT Rationale Community sport is an important setting for managing sport participation, yet few studies have investigated the impacts of climate change on sport. Even fewer studies have investigated climate impacts from the perspectives of sport managers at the grassroots level. The research aim was to understand how frontline community sport managers perceive climate change impacts on their sports. Methods Concept Mapping (online) with managers at nineteen organisations delivering community sport situated across four Australian climate zones. Findings A five-cluster concept map was selected as the most appropriate representation of participants’ sorting data: (1) Management & Planning Impacts, (2) Financial & Infrastructure Impacts, (3) Changes to Events, (4) Emotional & Social Impacts, and (5) Health & Safety Impacts. These clusters were grouped into three impact domains: Management & Infrastructure Impacts; Activity Impacts; and People Impacts. Practical implications The five clusters of impacts shed new light on managing climate change complexity for community sport. The impact clusters can assist sport managers design interventions to reduce disruption to sport participation. Listening to the perspectives of frontline staff who deliver sport is essential for managing these impacts. Research contribution A cluster map of perceived climate impacts provides a new framework for scholars investigating climate change impacts on sport.

A bibliometric analysis of the Cheminformatics/QSAR literature (2000-2023) for predictive modeling in data science using the SCOPUS database.

A bibliometric analysis of the Cheminformatics/QSAR articles published in the present century (2000-2023) is presented based on a SCOPUS search made in October 2024 using a given set of search criteria. The obtained results of 52,415 documents against the specific query are analyzed based on the number of documents per year, contributions of different countries and Institutes in Cheminformatics/QSAR publications, the contributions of researchers based on the number of documents, appearance in the top-cited articles, h-index, composite c-score (ns), and the newly introduced q-score. Finally, a list of the top 50 Cheminformatics/QSAR researchers is presented. An analysis is also made for the content of the top-cited articles during the period 2000-2023 in comparison to those before 2000 to capture the trend of changes in the Cheminformatics/QSAR research. The limiting factors of any bibliometric analysis are also briefly presented.

Are large language models qualified reviewers in originality evaluation?

Large language models (LLMs) are a new generation of conversational language model with impressive semantic comprehension, text generation, and knowledge inference capabilities. LLMs are significantly influencing the development of science by assisting researchers in analyzing, understanding, and grasping original knowledge in scientific papers. This study investigates LLMs’ potential as qualified reviewers in originality evaluation in zero-shot learning, utilizing a unique, manually crafted prompt. Using biomedical papers as the data source, we constructed two evaluation datasets based on Nobel Prize papers and disruptive index. The evaluation performance of multiple LLMs of different types and scales on the datasets was scrutinized through the analysis of originality score (OS), originality type (OT), and originality description (OD), all of which were generated by the LLM. Our results show that LLMs can to some extent discern papers with distinct originality level via OS; however, they appear to be overly lenient reviewers. In LLMs’ evaluation mechanism, five distinct OTs reflecting varied research contributions do not manifest independently, but together they positively influence OS. Of all the LLMs analyzed, GPT-4 stood out as able to produce the most readable ODs, effectively explaining the inference process for both OS and OT from the perspectives of completeness, logicality, and regularity.

ADAPTIVE REUSE AND PEOPLE’S PERCEPTION OF CONTEMPORARY NEEDS: TOWARDS A DECISION-MAKING PROCESS TO INCLUDE PEOPLE IN REPURPOSING CAIRO’S HERITAGE

Previous studies have shown a strong correlation between people’s positive perception of functions for adaptive reuse buildings with their historical compatibility. With the growing significance of adaptive reuse in the MENA region, an investigation of three case-studies in Cairo was undertaken to uncover (1) the different typologies of function interventions, (2) people’s perception of functions in conjunction with their façades and relevance, (3) enhance the design-making process to incorporate people’s perception prior to conservation practices. An interpretive study with a purposive sample for survey and semi-structured interviews was conducted in Cairo followed by enhancing a decision-making process for people’s inclusion. The three case-studies were selected to represent different interventions of adaptive reuse: Bayt El-Kretliya, a medieval courtyard house becoming a museum; Consoleya Building, the French Consulate in colonial Egypt during the 1930s becoming co-working space; Dar El-Kotob, governmental institution in late 19th century becoming a contemporary museum and library archives. People’s perception to Dar El-Kotob’s inner-functions was the highest due to a number of issues: (1) a hybrid combination of insertions, installations and intervention, (2) the building’s new narrative aligns with the original function, (3) affordability of access. Based on the investigation, four aspects are key to people’s perception of adaptive reuse buildings (1) harmony, (2) relevance, (3) evolutionary. An enhanced decision-making process for developing inner-functions of adaptive reuse buildings has been introduced incorporating the four issues of research contribution for future application.

Impact of Price Fairness and Quality on Consumer Satisfaction towards Gluten-free Food: Mediating Role of Perceived Value

The demand for gluten-free products has grown tremendously in the past decade globally. In this regard, the present research aims to examine how consumer satisfaction (CS) toward gluten-free products is influenced by perceived quality (PQ), perceived price fairness (PPF), and perceived value (PV), with the use of the theory of cue utilization, dual entitlement, and S-O-R theory. The hypotheses were tested with maximum-likelihood estimation. The finding of this study revealed that PQ, PPF, and PV positively influence CS. Additionally, the partial meditation impact of PV was observed between PPF, PQ, and CS. Theoretical contribution, managerial implication, and scope for further research are discussed at the end of the paper.

Pengaruh Direktur Berkeahlian Keuangan, Nilai Keuangan, Ukuran Perusahaan Terhadap Penghindaran Pajak di Industri Jasa Sub Sektor Farmasi yang Terdaftar di Bei 2016-2022

This research aims to determine and analyze the influence of directors with financial expertise, company value and company size on tax avoidance listed on the Indonesia Stock Exchange for the 2016-2022 period. The independent variables used in this research are directors with financial expertise, company value and company size on the dependent variable, namely tax avoidance. The method for collecting data uses a purposive sampling technique with a total of 112 data from the Pharmaceutical Industry. Secondary data was obtained from the company's official website and the Indonesian Stock Exchange. The method used in this research is the multiple linear regression analysis method. Based on the results of this research, it shows that the director variable with financial expertise has a positive and significant effect on tax avoidance, company value proves that it has no effect on tax avoidance and company size has no effect on tax avoidance. (Added research contribution & accounting results)

Improving performance of air quality monitoring: a qualitative data analysis

This research aims to improve performance of air quality monitoring and understand the latest relevant technological developments. Employing the Kitchenham systematic literature review (SLR) method, the study examines 436 journal articles and conference proceedings published from 2019 to 2023, sourced from the Web of Science (WoS) and Scopus databases. The analysis was carried out using Leximancer 5.0 and identified research five themes; i) air quality, ii) artificial intelligence (AI), iii) pollution, iv) middleware, and v) smart environment. The results showed that only 48 journals had strict inclusion and exclusion criteria include relevance to the research theme, methodological quality, and contribution to the research field. In addition, this research integrates AI and middleware, which has significantly contributed to improving air quality. These findings can become the basis for the development of air quality monitoring technology that is more sophisticated and responsive to environmental needs. This research contributes to further understanding air quality monitoring technology trends and designing solutions to improve overall air quality.

Balancing Research and Practice Contributions in Pharmacy Faculty Performance Evaluations: A Narrative Review

Balancing Research and Practice Contributions in Pharmacy Faculty Performance Evaluations: A Narrative Review

PENDIDIKAN DALAM BELENGGU KONFLIK: STRATEGI DAN KONDISI PENDIDIKAN DI YAMAN

This research aims to understand the actual condition of the education sector in the Republic of Yemen, along with the strategies that have been prepared in the context of developing and improving the quality of education. The panorama that is being observed is not only a picture of Yemen which until now is still preoccupied by conflicts and political disputes. This paper is expected to be one of the scientific contributions for further research in related fields. The data in this paper was obtained using qualitative research methods by conducting literature studies from various sources. The data collected is presented as it is without providing any interpretation. From these various sources, some data was obtained from official documents. Although with the disclosure of the source of the document, statements or articles that are opinions are minimized so that scientific objectivity is maintained. Based on the studies that have been conducted, an important keyword has been found that covers development in all sectors (including education) in Yemen, namely the Yemen Strategic Vision 2025. Especially in the field of education, the Ministry of Education and Culture has prepared a set of plans and achievement parameters for a certain work period. This article is not proposed as a form of problem solving, but rather is intended as additional literature for a more comprehensive review.

Analyzing Learning Persistence Determinants in Virtual Learning Environments Using Mixed Methodology

This research analyzes the impact of various factors and their relatable aspects, such as contextual (academic), external (environmental), and internal (personal) of students' learning persistence in virtual environments as critical aspects of online learning advancement and academic success. Utilizing a mixed methodology approach that combines qualitative and quantitative methods, this study leverages an educational dataset from Harvard and MIT, employing a multinomial logistic regression (MLR) model to detect the correlation among diverse learning factors and online persistence classes with the triple class label (positive persistence, negative persistence, and absence of persistence). The classification accuracy achieved in the MLR model reached 96%. Supporting evidence from online surveys and expert interviews further underscores the combined influence of academic, demographic, and environmental factors on learning persistence. The quantitative analysis highlights the significant influence of contextual factors, particularly achievements and activities, on learning persistence, while internal factors like gender and birth year have minimal impact. Qualitative analysis reveals a mix of internal, external, and contextual factors affecting persistence, including academic support, peer communication, and family support. Expert interviews confirm the importance of multidimensional features and highlight challenges ranging from technological access to varied learning styles. Suggestions for enhancing persistence include implementing supportive online tools and intelligent tutoring systems. This research's contribution lies in its holistic examination of online persistence-influencing factors through a mixed methodology lens, facilitating the identification of learning persistence; it aims to enhance support mechanisms for students in virtual learning environments, potentially improving educational outcomes and online learning experience. This innovative approach underscores the importance of understanding and addressing the various influencers of learning persistence to foster more successful outcomes in digital education contexts.

THE EFFECT OF TECHNOLOGICAL CAPITAL DISCLOSURE ON MANUFACTURING COMPANIES EMPLOYEES

Technological transformation is mandatory for companies sustainability, but unfortunately it has potential negative impact on employees. This research examines the impact of technological capital disclosure on the number of employees and salary expenditure by expansive test. Using secondary data of 366 observations and 371 observations of expansive test with manufacturing industrial companies in 2015 - 2020, it was found that technological capital had a significant negative impact on the number of employees and salaries expenditure2. These results show highly technology used and the presence of directors with technical/technology education backgrounds can reduce number of employees and salary costs. For this reason, research contribution is additional consideration for companies director when investing in technology so the benefits are equally received by companies and employees, for example through technology training and similar development of human resources.

Influence of initial stress and gravity on fiber-reinforced thermoelastic solid using Moore–Gibson–Thompson generalized theory of thermoelasticity

PurposeThe purpose of this research contribution is to examine the thermoelastic interactions in a fiber-reinforced thermoelastic medium under the action of initial stress and gravity in which, the conventional Fourier’s law is modified, introducing a thermal relaxation parameter in the GN-III model of generalized thermoelasticity.Design/methodology/approachThe work presented in this manuscript proposes a thermoelastic problem where the Moore–Gibson–Thompson equation is used to model the thermal law. The technique of normal mode is employed to derive the exact expressions of various physical fields under consideration.FindingsUnder the application of moving thermal load, normal displacement, temperature distribution and stress components are calculated numerically with the help of MATLAB software and then presented graphically to support the theoretical formulation.Originality/valueField variables are affected by initial stress, gravity, fiber reinforcement, velocity of thermal load and time duration, according to numerical simulations. Some particular cases of interest have also been inferred from the present problem.

Updating neoclassical economics with contemporary conceptions of homo economicus: a bibliometric analysis

AbstractThe postulation of rationality pervading neoclassical economics, having found to be lacking in veracity, necessitates an update of Homo economicus in neoclassical economics. An empirical formulation of economics predicated on an evolutionary framework of cognitive development is widely akcnowledged to expand the application and utility of economic models and this study identifies the key research areas associated with the contemporisation of neoclassical economics and reviews the extant body of knowledge on the status of the endeavour. A co-occurring keyword procedure is used to perform a bibliometric analysis to evaluate the extent to which the body of knowledge has progressed with updating the conception of Homo economicus in neoclassical economics. Data obtained from the Scopus and Web of Science databases are subjected to treatment by the procedure which ultimately reflects the relevance and quantity of research output related to the objective of updating neoclassical economics. The results show that, apart from the area of cognitive biases, the research contribution from the identified focus areas are insufficient with 14 of the 18 fields contributing only 12% of the research ouput related to the updating of neoclassical economics. The key insight of this study is that while the failures of neoclassical economics have been well documented in the literature, the effort to improve economic predictions to better approach reality by updating the characterisation of Homo economicus with evidence based findings relating to human behaviour is still immature. It is recommended that the computational and analytical tools endowed by the digital revolution be employed to close the research gap enabling the creation of debiasing strategies and acucrate economic predictions.

A comprehensive science mapping of tourism and hospitality research: Tribes, territories and networks

This study aims to provide a comprehensive bibliographic analysis of the field of tourism and hospitality research by mapping the contributions of researchers, research institutions and evolution of research topics and collaboration networks. Metadata from 27 SSCI and 30 ESCI tourism and hospitality journals were collected from Web of Science. Data analysis was conducted utilizing R package of Bibliometrix and Biblioshiny, adhering to the guidelines of bibliometric analysis. The study identified topics of sustainability and IT technology applications in tourism and hospitality as the recent research fronts. An increasing number of Chinese origin researchers emerged in the author collaboration network, followed by Korean origin researchers. Authors and universities in China started to form distinctive clusters in the author and institutional collaboration networks. The results offer a holistic understanding of the field of tourism and hospitality research, and can help researchers develop personal strategies in research career planning and development.

Assessment of the piriformis muscle and piriformis syndrome via Web of Science database: A bibliometric analysis

Background: Piriformis syndrome, which is seen as the cause of 0.3% to 6% of low back pain, is a painful condition that occurs as a result of compression of the piriformis muscle on the sciatic nerve. Although there are many studies in the literature about piriformis syndrome, no bibliometric analysis has been found. This study aims to evaluate piriformis syndrome and conduct a bibliometric analysis of studies related to piriformis muscle and syndrome. Methods: This study was conducted on March 27, 2024, using data recorded in the Web of Science Core Collection Database. The search was made as “Topic = Piriformis OR Piriformis Syndrome.” Accordingly, 1345 results were found, and as a result of the necessary inclusion and exclusion criteria, 961 documents remained. The data was transferred to the VOSviewer software for further analysis. Results: 961 documents based on piriformis muscle or piriformis syndrome were obtained. The country with the most publications was reported to be the USA with 31.42%. Other countries are ranked at around 5% or less. While 9 of the top 10 most cited institutions are based in the USA, clinics that make significant research contributions also attract attention among these institutions. Journals that publish articles containing piriformis syndrome are prominently surgery, physical therapy, anatomy, and general medicine journals. The most repeated keywords were reported as piriformis syndrome, diagnosis, pain, muscle, sciatic nerve, and hip. In contrast, the most repeated clinical terms were reported as approach, surgery, piriformis muscle, injection, sciatica, and compression. Conclusion: The findings obtained in this study are thought to be important for understanding to providing literature with new perspectives on this subject. They will also focus on the missing parts of the subject from this perspective. Also, this study would provide a novel perspective to the studies about piriformis syndrome and contribute to the researchers about the limits of the topic, and being aware of the active journals that publish papers on this issue would facilitate the work of the researchers.