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Found 6289 publications
Exploring the interaction between auditing and reporting standards and governance in explaining home bias
Publication Name: Cogent Business and Management
Publication Date: 2026-01-01
Volume: 13
Issue: 1
Page Range: Unknown
Description:
This study investigates both the individual and interaction effects of the Strength of Auditing and Reporting Standards (SARS) and governance on home bias across 53 countries participating in the Coordinated Portfolio Investment Survey (CPIS) from 2012 to 2019. Drawing on publicly available data, we employ a range of statistical methods to conduct a comprehensive assessment of the key determinants of home bias. The findings reveal a significant negative association between SARS and home bias, indicating that stronger auditing and reporting standards help reduce investors’ domestic preference. Governance exhibits heterogeneous effects depending on the legal system, with notable interaction patterns between SARS and governance in civil law and mixed legal system countries. The analysis also highlights the role of cultural distance and business confidence in shaping these relationships, underscoring the multifaceted nature of home bias. These results suggest that policymakers should enhance auditing and reporting standards and reinforce governance frameworks to lower perceived risks and attract foreign investment. By establishing a clear conceptual link between SARS and home bias, this study contributes novel insights to the literature.
Open Access: Yes
Monocular Ground Normal Prediction for the Road Ahead
Publication Name: IEEE Open Journal of Vehicular Technology
Publication Date: 2026-01-01
Volume: 7
Issue: Unknown
Page Range: 1066-1080
Description:
Robust fusion of monocular and inertial data has the potential to offer a low-cost alternative for ground surface normal prediction ahead, compared to more expensive sensors, such as LiDAR. Yet robust camera-based prediction remains challenging, particularly for steep grades and texture-poor, homogeneous road surfaces. To address these issues, we propose an enhanced monocular camera-IMU fusion pipeline incorporating a lightweight transformer-based feature matcher for improved correspondence accuracy, and robust temporal filtering, using a spherical linear interpolation (SLERP) filter, to enhance consistency and reduce drift. To enable rigorous benchmarking and reproducibility, we also standardize the evaluation protocol and release a novel dataset containing synchronized camera, LiDAR, and IMU-derived pose data, specifically captured across diverse incline and decline scenarios. Extensive continuous validation demonstrates that our method significantly improves both accuracy and temporal stability over existing approaches, setting a new state of the art for robust, continuous ground normal estimation ahead.
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
Climate change reshapes agricultural game: Canada’s gains, Brazil’s losses, and the U.S. Dilemma
Publication Name: Frontiers in Sustainable Food Systems
Publication Date: 2026-01-01
Volume: 9
Issue: Unknown
Page Range: Unknown
Description:
The aim of the study is to examine three countries in the Americas with different economic and climatic conditions—Canada, Brazil and the United States. It focuses on the strategic decisions that countries make in the field of agricultural land use and export policies in response to climate change. The research uses a dynamic game theory model that takes into account changes in cropland, export potential and costs arising from environmental and geopolitical risks. Cluster analysis also helped to interpret the results. Based on this, three main strategic patterns can be identified: protective (self-protective), cooperative (cooperative) and non-cooperative (expansive) behavior. Based on the results, cooperation is rare and unstable, and a defensive, protective strategy dominates. Of the three countries, Canada’s situation is the most sustainable, while Brazil is in a losing position in the long run. The study highlights that the consequences of climate change are not only differentiated at the natural but also at the strategic level, and that a thoughtful international redesign of incentives is essential to foster cooperation.
Open Access: Yes
Greenhouse Gas Emissions in Agricultural Crops and Management Practices: The Impact of the Integrated Crop Emission Mitigation Framework on Greenhouse Gas Reduction
Publication Name: Agronomy
Publication Date: 2026-01-01
Volume: 16
Issue: 1
Page Range: Unknown
Description:
Greenhouse gas emissions from agricultural crops remain a critical challenge for climate change mitigation. This review synthesizes evidence on cropland management interventions and global N2 O mitigation potential. Agricultural practices such as cover cropping, agroforestry, reduced tillage, and diversification show promise in reducing CO2 , CH4 , and N2 O emissions, yet uncertainties in measurement, verification, and socio-economic adoption persist. This review highlights that biochar application reduces N2 O emissions by 16.2% (95% CI: 9.8–22.6%) in temperate systems, demonstrating greater consistency compared to no-till agriculture, which shows higher variability (11% reduction, 95% CI: −19% to +1%). Legume-based crop rotations reduce N2 O emissions by up to 39% through improved nitrogen efficiency and increase soil organic carbon by up to 18%. However, reductions in synthetic fertilizer use (65% lower in legume vs. cereal systems) can be offset by the effects of biological nitrogen fixation. Optimized nitrogen fertilization, when combined with enhanced-efficiency fertilizers, can reduce N2 O emissions by 55–64%. Complementing this, global-scale analysis underscores the dominant role of optimized nitrogen fertilization in curbing N2 O emissions while sustaining yields. To bridge gaps between practice-level interventions and global emission dynamics, this paper introduces the ICEMF, a novel approach combining field-based management strategies with spatially explicit emission modeling. Realistic implementation currently achieves 25–35% of technical potential, but bundled interventions combining financial incentives, training, and institutional support can increase adoption to 40–60%, demonstrating ICEMF’s value through integrated, context-adapted approaches. Only peer-reviewed articles published in English between 1997 and 2025 were selected to ensure recent and reliable findings. This review highlights knowledge gaps, evaluates policy and technical trade-offs, and proposes ICEMF as a pathway toward scalable and adaptive mitigation strategies in agriculture.
Open Access: Yes
Biomechanical effects of maximal footwear on running: a systematic review and network meta-analysis
Publication Name: Footwear Science
Publication Date: 2026-01-01
Volume: 18
Issue: 1
Page Range: 83-98
Description:
Running is widely recognised for its substantial health benefits; however, it is frequently associated with lower limb injuries caused by repetitive impact forces. To mitigate such injuries, maximal footwear has been developed; nevertheless, evidence comparing its biomechanical effects with those of other footwear types remains inconclusive. A Bayesian network meta-analysis of 14 studies (222 participants) was conducted, based on systematic searches of PubMed, Web of Science, the Cochrane Library, Scopus, and Embase (from inception to 12 November 2024). Multiple biomechanical parameters were evaluated, including vertical average loading rate, vertical instantaneous loading rate, impact peak, active peak and ankle peak eversion. The results revealed a complex and sometimes contradictory biomechanical profile for maximal footwear. Specifically, maximal footwear resulted in a significantly higher impact peak compared to both conventional and minimal footwear. In contrast, for the vertical average loading rate, it performed significantly better than minimal footwear but showed no significant difference compared to conventional footwear. For other impact metrics, no significant differences were observed. Notably, maximal footwear was associated with a significantly lower ankle peak eversion compared to minimal footwear, suggesting a potential for greater control of ankle motion.
Open Access: Yes
THE PHENOMENON OF STRATEGIC CATALYSTS AND BARRIERS IN EDUCATION TECHNOLOGY ENTREPRENEURSHIP: A MULTI-CASE STUDY AND COMPARATIVE ANALYSIS
Publication Name: Corporate and Business Strategy Review
Publication Date: 2026-01-01
Volume: 7
Issue: 2
Page Range: 196-204
Description:
Educational technology (EduTech) entrepreneurship in Bangladesh is expanding rapidly, yet growth remains uneven across income and urban-rural divides. Using an exploratory multi-case qualitative design, we compare three leading ventures (10 Minute School, Shikho, and Bohubrihi) through 27 semi-structured interviews and four focus groups, analyzed via reflexive thematic analysis with a hybrid codebook, constant comparison, and an audit trail. Two catalysts consistently supported scale: localized, curriculum-aligned content and cloud/artificial intelligence (AI)-enabled delivery that can lower cost-to-serve and guide learning progression. Two barriers constrained inclusive growth: device/data affordability tied to rural connectivity gaps, and governance/finance frictions that slow partnerships, approvals, and investment pipelines. A comparative lens from Malaysia suggests that coordinated policy rails, teacher professional-development pathways, and programmatic/blended finance can crowd in private capital and accelerate school integration. The study contributes to debates on governance and innovation in the education industry by showing why regulation and data governance shape whether digital learning systems translate into equitable outcomes (Xhafaj et al., 2022; Tridalestari & Prasetyo, 2024).
Open Access: Yes
Modeling Hepatitis B and Alcohol Effects on Liver Cirrhosis Progression
Publication Name: CMES Computer Modeling in Engineering and Sciences
Publication Date: 2026-01-01
Volume: 146
Issue: 1
Page Range: Unknown
Description:
Hepatitis B Virus (HBV) infection and heavy alcohol consumption are the two primary pathogenic causes of liver cirrhosis. In this paper, we proposed a deterministic mathematical model and a logistic equation to investigate the dynamics of liver cirrhosis progression as well as to explain the implications of variations in alcohol consumption on chronic hepatitis B patients, respectively. The intricate interactions between liver cirrhosis, recovery, and treatment dynamics are captured by the model. This study aims to show that alcohol consumption by Hepatitis B-infected individuals accelerates liver cirrhosis progression while treatment of acutely infected individuals reduces it. We proved that a unique solution of the proposed model exists, which is positive and bounded. Using the next-generation matrix approach, two basic reproductive numbers RA0 and RAmax are calculated to identify future recurrence. The equilibrium points are calculated, and both equilibria are proved locally and globally asymptotically stable when R0 is below and above one, respectively. It is shown that bifurcation exists at R0 = 1 and a detailed proof for forward bifurcation is given. Furthermore, we performed the sensitivity analysis of the model parameters on R0 . For the confirmation of analytical work, we performed numerical simulations, and the results indicate that the treatment and the inhibitory effects reduce the risk of developing liver cirrhosis in individuals, while heavy alcohol consumption accelerates markedly the liver cirrhosis progression in patients with chronic hepatitis B.
Open Access: Yes
Hijacked medical journals and the risk to scholarly integrity: a web analytics study of prevalence, traffic channels, and geographic origins of traffic
Publication Name: Diagnosis
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Objectives: The integrity of research and science is increasingly under threat from questionable journals. In particular, hijacked journals rapidly expand, propagating scam-based, non-peer-reviewed publications. While the academic literature offers discussions, developed methodologies, and block lists to combat these fraudulent journals, the most prevalent hijacked journals and their primary distribution channels remain ambiguous. Methods: To bridge this knowledge gap, the current study utilized a list of 380 previously detected hijacked journals and the web analytics platform Semrush to identify the most visited hijacked journals and their primary channels for attracting web traffic. This research first analyzes hijacked journals across various fields and then focuses specifically on hijacked medical journals. Results: Our findings demonstrate that over 50 % of previously detected hijacked journals are active, primarily attracting researchers via email, search engines, and artificial intelligence (AI) tools. Furthermore, the majority of visitors to these journal websites originate from India. The results for medical journals align with these overall trends. Conclusions: Addressing the significant problem these questionable journals pose necessitates implementing legal action and technological solutions.
Open Access: Yes
DOI: 10.1515/dx-2025-0158
