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Found 6289 publications
Analytical Study for Stagnation-Point Flow and Heat Transfer of MHD Nanofluid Over a Stretching Sheet in Porous Medium via Modified Adomian Decomposition Method
Publication Name: International Journal of Analysis and Applications
Publication Date: 2026-01-01
Volume: 24
Issue: Unknown
Page Range: Unknown
Description:
In the current study, we investigate the stagnation-point flow of a MHD nanofluid toward stretching sheet in porous media with suction or injection. Whereas, the contribution of the velocity, temperature, and nanoparticle distributions to identify the advantages or disadvantages that nanoparticles like bacteria, microbes and viruses, cause in the flow stretching sheet is what makes this work significan. A new procedure is suggested for the analytical treatment of the governing system of partial differential equations, where the boundary condition at infinity is converted from the unbounded domain to the bounded domain by using some transformations and then modified adomian decomposition method is utilized. The effects of parameters (porous medium, magnetic number, surface heat flux, suction or injection and Prandtl number) on velocity, temperature and concentration profiles are shown graphically and analyzed. Finally, we compared our obtained results with the other techniques used before in literature.
Open Access: Yes
Does Geopolitical Risk Induce Comparative Advantage in Low-Carbon Energy Trade? Insights on Climate Policy and Innovation Business Strategies
Publication Name: Business Strategy and the Environment
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Given the significant surge in greenhouse gas emissions over the past several decades, the demand for low-carbon energy products has increased globally. However, geopolitical risks and tensions have also been escalating, which can reshape the trade of low-carbon energy products. Despite growing work on geopolitical risk and energy transition, no study has yet examined how geopolitical tensions reshape countries' revealed comparative advantage in low-carbon energy trade. This study therefore aims to fill this research gap by providing an understanding of how geopolitical risk affects comparative advantage in low-carbon energy trade across 27 countries worldwide. Taking the data period from 2000 to 2021, the study implements several panel regression models to account for endogeneity as well as cross-country heterogeneity. The results reveal that geopolitical risk undermines a country's comparative advantage in international trade of low-carbon energy products, regardless of the model specification. Domestically adopted low-carbon energy innovation suggests a positive outcome for enhancing comparative advantage in this category, while low-carbon energy policy has no significant impact. These results imply that governments and firms aiming to build durable comparative advantage in low-carbon energy trade should complement innovation-support policies with strategies that reduce exposure to geopolitical disruptions in green value chains.
Open Access: Yes
DOI: 10.1002/bse.70587
Resilience-oriented seismic retrofit of heritage masonry minarets using hybrid base isolation and supplemental damping
Publication Name: Structures
Publication Date: 2026-01-01
Volume: 83
Issue: Unknown
Page Range: Unknown
Description:
Historic masonry mosques represent a highly vulnerable class of cultural heritage structures whose seismic fragility stems from their complex geometries, heterogeneous material composition, and rigid load-transfer mechanisms. This study presents a resilience-oriented seismic performance improvement of the historic masonry minaret of the Bayburt Grand Mosque, a structure with limited lateral deformation capacity that challenges the applicability of conventional strengthening measures. To address this limitation, a hybrid retrofitting strategy is introduced, integrating lead rubber bearings (LRBs) with supplemental viscous dampers (VDs) at the foundation level. This combined system—implemented for the first time in a historic masonry minaret—aims to enhance energy dissipation and displacement control through a minimally invasive and architecturally compatible approach. Finite element analyses (FEA), coupled with MATLAB-supported optimization routines, were used to calibrate isolator stiffness and damper coefficients. Three configurations were evaluated: fixed-base, LRB-isolated, and hybrid LRB–VD systems. Nonlinear time-history analyses (NTHAs) using the 1992 Erzincan (Otlukbeli) earthquake record quantified displacements, stress–strain responses, and damage progression. Results show that while base isolation mitigates seismic demand, it remains insufficient under restricted deformation capacity. The proposed hybrid system reduces peak horizontal displacements from 22 cm to 12 cm, limits drift ratios below 0.17 %, and lowers maximum tensile stresses from 4.890 MPa to 0.490 MPa—well below the masonry tensile strength of 0.880 MPa. Two iterative analytical design methodologies are additionally introduced to derive effective isolator stiffness and viscous damping coefficients, enabling systematic integration into resilience-focused evaluation frameworks. Overall, the study advances reliability-based, conservation-compatible retrofitting practices for historic masonry minarets and supports sustainable strategies for seismic risk mitigation.
Open Access: Yes
Understanding how sources of communication can shape digital purchase intention
Publication Name: Electronic Commerce Research
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Drawing on self-expansion theory, social identity theory, and social influence theory, this study examines how two sources of brand communication - offline friend communities and online communities—shape online purchase intention through self-expansion and brand identification. It also addresses a core limitation of dominant technology acceptance models, which treat social influence as monolithic and fail to capture source-level psychological effects. A quantitative survey of millennials (n = 224) is analyzed using partial least squares structural equation modelling and multi-group analysis. Results show that offline friend community belonging activates self-expansion, while online community belonging drives brand identification—two distinct pathways to purchase. A significant gender split emerges: both mechanisms predict purchase intention for males but not for females. Managerial implications include gender-specific budget allocation guidance between offline referral and online community strategies, and differentiated messaging to activate self-expansion and brand identification respectively.
Open Access: Yes
From complexity & research to cleanliness: The synergy of R&D investments, EV technologies and green complexity for sustainability
Publication Name: International Review of Economics and Finance
Publication Date: 2026-01-01
Volume: 105
Issue: Unknown
Page Range: Unknown
Description:
The developed and emerging countries strive for sustainability and focus on enhancing greener energy and electric products. Adopting electric vehicles and utilizing green energy sources are essential to this objective. This study examines the synergy between EV technologies, green energy, and sustainability in China using quarterly data from 2010Q1 to 2022Q4. In addition, it considers the policy-level roles of economic complexity and research and development efforts in the EV industry. The authors employ novel time-series methods to assess long-term associations, including unit root testing, the Bayer-Hanck cointegration test, FMOLS, and DOLS. Robustness is checked using both a parametric method (least squares with breaks) and a non-parametric method (quantile regression). The empirical results reveal that electric vehicle technologies, economic complexity, and R&D expenditures exert an unfavorable effect on greenhouse gas emissions. By contrast, green energy and economic globalization significantly reduce ecological emissions in the long run. The robustness check analysis through parametric and non-parametric provides robust and valid outcomes. Promoting the adoption of electric vehicles and investing in green energy, and research & development intiaitves have significant policy implications for attaining environmental sustainability. lastly, enhancing economic complexity and fostering economic globalization should be considered to ensure a stable environment and facilitate sustainable development and better environmental quality.
Open Access: Yes
Disinformation and disruption: Fake news in the events industry
Publication Name: Journal of Convention and Event Tourism
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
In recent years, the number of fake news stories significantly increased in the world, especially with the widespread use of social media. It has impacted several industries, including the events industry and events tourism. The spread of fake news can contribute to the reduction of attendance, visitor numbers and even damage the reputation of an event, contributing to economic loss. This research explores how misinformation shape public perception, how fake news appear in the events sector, and how it affects visitor trust and future attendance in the events industry, including concerts, festivals, sporting events, conferences. First, in a literature review, previous academic resources on fake news and its impact on visitors is collected and analyzed, to give a well-rounded view on the issue. It is followed by content analysis, which uses case studies and media coverage to identify patterns in the spread of fake news stories in the events industry. Initial findings suggest that fake news stories may lead to lower attendance rates, public safety concerns and may also lead to the damaged reputation of events and host destinations, which also contributes to economic loss. The study highlights the need for misinformation management by event organizers and the media.
Open Access: Yes
Hybrid Pythagorean Fuzzy Decision-Making Framework for Sustainable Urban Planning under Uncertainty
Publication Name: CMES Computer Modeling in Engineering and Sciences
Publication Date: 2026-01-01
Volume: 146
Issue: 1
Page Range: Unknown
Description:
Environmental problems are intensifying due to the rapid growth of the population, industry, and urban infrastructure. This expansion has resulted in increased air and water pollution, intensified urban heat island effects, and greater runoff from parks and other green spaces. Addressing these challenges requires prioritizing green infrastructure and other sustainable urban development strategies. This study introduces a novel Integrated Decision Support System that combines Pythagorean Fuzzy Sets with the Advanced Alternative Ranking Order Method allowing for Two-Step Normalization (AAROM-TN), enhanced by a dual weighting strategy. The weighting approach integrates the Criteria Importance Through Intercriteria Correlation (CRITIC) method with the Criteria Importance through Means and Standard Deviation (CIMAS) technique. The originality of the proposed framework lies in its ability to objectively quantify criteria importance using CRITIC, incorporate decision-makers' preferences through CIMAS, and capture the uncertainty and hesitation inherent in human judgment via Pythagorean Fuzzy Sets. A case study evaluating green infrastructure alternatives in metropolitan regions demonstrates the applicability and effectiveness of the framework. A sensitivity analysis is conducted to examine how variations in criteria weights affect the rankings and to evaluate the robustness of the results. Furthermore, a comparative analysis highlights the practical and financial implications of each alternative by assessing their respective strengths and weaknesses.
Open Access: Yes
Changes in antibiotic use in Hungarian large pig farms between 2022 and 2024
Publication Name: Magyar Allatorvosok Lapja
Publication Date: 2026-01-01
Volume: 148
Issue: 3
Page Range: 131-148
Description:
Background: The intensification of pig production systems has been associated with increased antimicrobial use (AMU), which remains a key driver of antimicrobial resistance (AMR) and a major concern for both veterinary and public health sectors. Monitoring and rationalizing antibiotic usage are crucial to prevent the selection of resistant bacterial strains that pose risks to both animal and public health. Objectives: The aim of this study was to assess the structure and magnitude of antibiotic use as well as related reduction strategies, in three large-scale Hungarian swine herds, based on farm data recorded between January 2022 and June 2024. Materials and Methods: Data were collected using a digital herd health monitoring system covering monthly animal health cases and antibiotic usage. Antibiotic use was evaluated by AMEG classification, active ingredient groups, route of administration (e.g. water, feed, injection), treatment type (therapeutic vs. metaphylactic) and age group (e.g. sows, weaners, fatteners). Quantitative indicators included total mass (mg) and mg/PCU values. Results and Discussion: Antibiotic use declined during the study period, particularly in weaned pigs by 87.6% (corrected mg/PCU: from 341.70 to 42.35). The most frequent clinical problems on the examined farms were enteric and respiratory disorders as well as arthritis. Drinking water medication remained dominant (93.8%), though individual treatments increased in frequency. In 2023, a major shift occurred toward targeted therapeutic use (83.7%) over metaphylaxis (16.3%). The increased proportion of AMEG C category antibiotics and reduced use of AMEG D category substances indicate changing prescribing patterns. Regular treatment logs, vaccination protocols, sensitivity testing and the use of organic acids and probiotics may contribute to a more prudent antibiotic approach. These results confirm the importance of diagnostics-driven treatment and farm-specific interventions in AMR mitigation.
Open Access: Yes
Exercise addiction: A review and evaluation of current research and theory
Publication Name: Journal of Behavioral Addictions
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Background and Aims: While regular physical activity provides many health benefits, exercise can cause more harm than good when done excessively to the point where a person loses control. This condition has been called various names, but the most accurate term is ‘exercise addiction’ (EA) because it reflects both compulsive behavior and dependence. EA is classified as a non-substance-related addictive disorder, or behavioral addiction, and has been the subject of research for over fifty years. However, it is not officially recognized in major diagnostic systems, mainly due to significant conceptual and measurement challenges. This paper provides an overview of current knowledge on EA, including its causes, assessment issues, epidemiology, associated conditions, negative effects, and options for treatment and prevention. Methods: An evaluation-driven narrative review was conducted which synthesized findings from empirical research and theoretical models adopted across EA research. It critically examined prevailing conceptualizations, methodological challenges, and potential treatment approaches. Results: Epidemiological findings are inconsistent and report inflated prevalence rates, partly due to reliance on self-report instruments that often fail to distinguish pathological exercise from passion. Etiological models emphasize the complex interplay between biological, psychological, and behavioral factors. Negative consequences include physical injury, emotional distress, and social strain. Evidence for effective interventions remains sparse. Discussion and Conclusions: Despite growing interest, progress remains slow. There is a need for larger, longitudinal, and experimental studies to advance understanding. Though not included in the DSM-5, greater clinical awareness is vital for early detection and prevention. EA is clinically relevant but still poorly defined, requiring robust empirical and theoretical work.
Open Access: Yes
