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Found 6515 publications
Energy poverty dynamics and geostrategic shocks: Moderation of financial markets
Publication Name: Energy Policy
Publication Date: 2026-08-01
Volume: 215
Issue: Unknown
Page Range: Unknown
Description:
Universal energy poverty is a key ingredient to social inequality, education barrier and poor health outcome. Therefore, it is crucial for policymakers to identify the factors that mitigates energy poverty. Present study examined the influence of geopolitical risk on energy poverty, focusing on financial market depth, access and efficiency in 42 economies, spanning 2000 to 2022, using instrument variable two stage least square (2SLS), three stage least square (3SLS) approach and double panel threshold regression. The estimation provides following observations. First, geopolitical risk significantly intensify energy poverty over time. Second, natural disasters is a more serious hindrance to energy access. Third, financial markets significantly moderates the favourable spillover effects of geopolitical risk on energy poverty, dampens negative effect of geopolitical risk, improving household energy access, and reducing vulnerability to external shocks. Alongside this, the research provide similar pattern in urban and rural concentration, indicating the severe effect of geopolitical and natural disaster risk in rural areas. Moreover, the research explored several other factors and prioritizes digitalization, economic growth and political liberty as the major attributes for mitigating energy poverty. Hence, this research, provides stronger support for the roles of financial markets and digitalization in mitigating the energy poverty in the long run. This paper further delves into the policy implications arising from the findings.
Open Access: Yes
Thermal characteristics of magnetic blood-based hexa-hybrid nanofluids in stenotic arteries with heat source/sink by applying Caputo-Fabrizio fractional derivatives
Publication Name: Results in Surfaces and Interfaces
Publication Date: 2026-08-01
Volume: 24
Issue: Unknown
Page Range: Unknown
Description:
The current examination explores the magnetohydrodynamic flow and transport behavior of a Casson-based blood-derived hexa-hybrid nanofluid via a vertically oriented, mildly stenotic artery using a fractional-order framework. The hexa-hybrid nanofluid is formulated by dispersing Au, Cu, ZnO, Ag, MgO and TiO2 nanoparticles into blood, and the flow is considered highly pulsatile. Mathematical modelling is developed from the conservation laws of mass, momentum, and energy, followed by nondimensionalization under the mild-stenosis approximation. To extend the classical model to its fractional form, the Caputo–Fabrizio fractional derivative is incorporated, enabling closed-form analytical expressions for velocity and temperature through combined Laplace and Hankel transforms. The graphical results highlight the influence of key physical factors on velocity, temperature, and entropy production. The inclusion of hexa-hybrid nanoparticles notably enhances the thermal characteristics of blood due to the substantial rise in effective thermal conductivity. The velocity increases with higher Casson parameter values, whereas temperature decreases as the fractional-order parameter intensifies. Furthermore, entropy generation is found to rise with increasing thermodynamic parameters, while the Bejan number correspondingly decreases, reflecting dominant irreversibility effects within the system.
Open Access: Yes
Beyond attention spans: Cognitive lock-in and awe experiences in short-video advertising among informavores
Publication Name: Acta Psychologica
Publication Date: 2026-08-01
Volume: 268
Issue: Unknown
Page Range: Unknown
Description:
Short videos are reshaping the digital landscape and opening a new frontier in digital marketing. By fostering binge-watching tendencies, cognitive lock-in, and stronger influence over consumer attention and choice, short videos create conditions for sustained engagement. Drawing on Media Systems Dependency Theory (MSDT), this study introduces a new zone phase construct and advances an integrative conceptual model that explains how the psychological mechanisms operating among short video users generate immersive experiences. Using a mixed-methods design that combined inductive exploration with deductive testing, we developed and empirically validated the model through statistical analysis. The study clarifies the drivers of habitual short video use and offers creative, actionable insights for practice. Overall, the findings yield clear implications for digital marketing strategy and make a compelling case for the strategic deployment of short videos to enhance commercial viability.
Open Access: Yes
Neuro-computing analysis of MHD bioconvective ternary nanofluid flow over a curved stretching surface
Publication Name: Results in Surfaces and Interfaces
Publication Date: 2026-08-01
Volume: 24
Issue: Unknown
Page Range: Unknown
Description:
Objective Magnetically influenced bioconvective flow of ternary nanofluid induced by the expansion of curved surface by incorporating thermophoresis, Brownian motion, chemical species, activation energy and motile microbes to elucidate complex thermal fluid transport phenomena. Method ology: The mathematical model describing flow mechanism was formulated in sense of PDEs (partial differential equations), which are converted in ODEs (ordinary differential equations) by employing similar set of variables. Numerical technique by integrating the shooting method and RK-4 approach is employed to obtain the outcomes of study. Afterwards, neuro-computing model is designed to forecast Nusselt number for mono, hybrid and ternary nanoparticles comparatively. Key findings Findings of the analysis indicate that velocity of fluid intensifies by uplifting curvature factor while thermal profile goes down. Thermophoretic and Brownian diffusion factors cause the temperature of the fluid to rise but lower the associated flux. Higher curvature and activation energy factors elevate concentration distribution, whereas microbe density depreciates versus Peclet and bioconvective Lewis numbers. The MSE values obtained during training (2.79e-08, 7.63e-08, and 1.55e-07) demonstrate the model's robustness. Applications It is concluded that heat and mass transportation phenomenon is superior with the induction of ternary nanoparticles as compared to mono and hybrid, giving valuable insights for the design of improved thermal energy storage and bioconvective transference mechanism in engineering and biomedicine utilizations.
Open Access: Yes
ANN-based modeling and comparative analysis of two-phase dusty fluid flow over a Riga curved surface under modified Fourier law
Publication Name: Results in Surfaces and Interfaces
Publication Date: 2026-08-01
Volume: 24
Issue: Unknown
Page Range: Unknown
Description:
Purpose Magnetohydrodynamic (MHD) flows are widely applied in electromagnetic casting, magnetic drug targeting, plasma confinement and nuclear reactor cooling. The model can be used in microelectronic heat management, electromagnetic cooling, and aircraft thermal systems. The purpose of this study is to analyze the momentum and heat transport characteristics of a two-phase dusty nanofluid flowing over a curved Riga surface under the modified Fourier (Cattaneo–Christov) heat flux model. Methodology The governing equations are converted into ordinary differential equations by similarity transformations after being created with suitable boundary conditions. Using the bvp4c method, numerical results are obtained. An artificial neural network (ANN) based on the Backpropagated Levenberg–Marquardt method and Bayesian Regularisation is created using the collected numerical data in order to envisage flow behaviour under several physical factors. Results The flow is greatly restricted by the suspension of dust particles of uniform size, leading to decrease in heat transfer rate and reduction in velocity, depending on the curvature and magnetic field parameters. While decreasing the velocity of dust-phase, increasing the curvature parameter increases the velocity of fluid-phase. Originality and conclusion The originality of this work lies in integrating a dusty two-phase model, a curved Riga surface, and an ANN-based predictive framework under the modified Fourier law. This work is novel because it combines an ANN approach with a dusty two-phase Riga curved flow and the Modified Fourier heat flux model. The results demonstrate that dust loading and surface curvature strongly influence MHD flow behavior, while LM modeling provides an efficient and accurate alternative to traditional numerical approaches. The findings demonstrate that while Bayesian Regularisation outperforms the Levenberg–Marquardt algorithm in terms of prediction accuracy, the adjusted Hartmann parameter decreases velocity. For complicated nonlinear thermal-fluid transport phenomena, the suggested methodology offers both intelligent and numerical predictive analysis.
Open Access: Yes
Thermal ablation for early-stage breast cancer: cryoablation, microwave ablation, radiofrequency ablation, high-intensity focused ultrasound ablation, and laser ablation — a systematic review
Publication Name: Breast
Publication Date: 2026-08-01
Volume: 88
Issue: Unknown
Page Range: Unknown
Description:
Background: Thermal ablation techniques have been proposed as minimally invasive alternatives to surgery for early-stage breast cancer (BC), with the potential to reduce treatment burden while preserving oncological outcomes. The aim of this review was to evaluate the available evidence on the effectiveness and safety of thermal ablation techniques in patients with early-stage BC. Methods: We conducted a systematic review and narrative synthesis in accordance with PRISMA guidelines. MEDLINE, Embase, the Cochrane Library, and the INAHTA database were searched for studies published between 2014 January and 2026 May. Eligible studies included randomised controlled trials, non-randomised comparative studies, and prospective single-arm studies enrolling adult patients with early-stage BC treated with cryoablation (CYA), microwave ablation (MWA), radiofrequency ablation (RFA), high-intensity focused ultrasound ablation (HIFU), or laser ablation (LA), with or without standard care. Risk of bias was assessed using RoB 2.0 and ROBINS-I, and certainty of evidence was evaluated using GRADE. Results: Twenty-two trials (in 24 publications) were included: twelve on CYA, five on MWA, three on RFA, two on HIFU, and one on LA, with one trial evaluating both CYA and MWA. Comparative evidence was available for CYA, MWA, and RFA, while HIFU and LA were evaluated exclusively in single-arm studies. Across interventions, recurrence rates were generally low, overall survival was high, reported adverse events were predominantly mild to moderate. Most studies were small, had short follow-up, and frequently included post-ablation surgical resection, limiting causal attribution. Certainty of evidence ranged from very low to moderate, depending on intervention and outcome. Conclusion: Thermal ablation techniques demonstrate favourable short-term safety profiles and promising oncological outcomes in selected patients with early-stage BC. Current evidence is limited by low certainty, heterogeneous study methodologies, and limited long-term comparative data. High-quality comparative studies with standardised assessment methods and long-term follow-up are required to elucidate the comparative clinical evidence of thermal ablation techniques and inform their role in routine clinical practice.
Open Access: Yes
Identifying necessary and sufficient conditions for enhancing NEV policy support: A combined PLS-SEM and NCA approach
Publication Name: Research in Transportation Business and Management
Publication Date: 2026-08-01
Volume: 68
Issue: Unknown
Page Range: Unknown
Description:
As global concern about environmental issues increases, new energy vehicles (NEVs) are considered a key factor in reducing carbon emissions. However, among the factors influencing consumer adoption of NEVs, value orientation is an important driver of attitudes and behaviors. This study takes Xi'an as an example to address this gap by incorporating value orientation factors into a structural equation model to re-examine how egoistic (EV) and altruistic values (AV) affect attitudes toward purchasing NEVs and their impact on support for local government policies (SIG) and offer practical insights for policymakers and marketers using a combined PLS-SEM and NCA (necessary condition analysis) method. The results show that EV/AV positively predict attitude toward policy (ATP) and perceived consumer effectiveness (PCE) but not direct attitude (ATT); PCE drives ATT, which in turn boosts SIG. Education moderates the EV/AV-ATP link, and NCA identifies AV, ATP, PCE, and ATT as critical necessary conditions for SIG (EV non-necessary). Additionally, by integrating TPB and value theory, this research contributes to the literature by addressing key gaps in how value orientations, particularly among the young generation, shape NEV adoption behaviors. In conclusion, this study highlights the important role of value orientations in shaping perceptions of NEV policies and offers marketing insights to promote NEVs.
Open Access: Yes
Advanced sentiment analysis approaches with decision-making models and picture fuzzy rough environments
Publication Name: Complex and Intelligent Systems
Publication Date: 2026-08-01
Volume: 12
Issue: 8
Page Range: Unknown
Description:
The advanced approach to cross-domain sentiment recognition plays a crucial role in enhancing the robustness and adaptability of sentiment analysis (SA) models across domains with varying linguistic patterns and vocabularies. An intelligent decision-making model is applied to evaluate the authenticity of preferences under different conflicting criteria and with insufficient expert information. This manuscript presents a novel approach, the picture fuzzy rough set (PFRS), to address uncertainty and vagueness in human judgments and during integration. Besides the theoretical concepts of picture fuzzy rough (PFR) information, some feasible operations of the Frank t-norm and t-conorm are also formulated within the PFR framework. We developed a family of robust mathematical methodologies of Frank aggregation operators, namely picture fuzzy rough Frank weighted average (PFRFWA) and picture fuzzy rough Frank weighted geometric (PFRFWG) operators. To highlight the validation and compatibility of derived approaches, some special cases and dominant properties are also discussed. To address complexities in real-life applications and numerical examples, an intelligent decision-making approach is established based on the evaluation distance from the average solution (EDAS) method and the PFR framework. Some deep fusion approaches are evaluated using decision-making methodologies with numerical examples. Sensitivity analysis demonstrates the robustness and superiority of the derived mathematical approaches. Finally, a summary of the article is provided at the end.
Open Access: Yes
Development of slit friction–yielding dampers for enhanced seismic energy dissipation in building structures
Publication Name: Structures
Publication Date: 2026-08-01
Volume: 90
Issue: Unknown
Page Range: Unknown
Description:
This study introduces the Slit Hybrid Frictional-Yield Damper (SHFYD), an innovative energy-dissipating device designed to reduce seismic forces during earthquakes. Combining frictional and yielding mechanisms, the SHFYD provides a two-phase response: frictional behavior for minor seismic events and yielding behavior for severe earthquake. Using finite element (FE) modeling in ABAQUS, a parametric analysis was conducted to evaluate its hysteretic behavior, failure modes, and the effects of key geometric and frictional parameters, including rib thickness (t), strip width (b), number of strips (n), strip height (h), bolt clamping force (Fp), radius (R), and slot width (S). Energy dissipation primarily occurs through the controlled plastic deformation in the steel strips, aligning with the capacity design principles. Increasing Fp enhances the damping ratio by up to 51%, but it remains below the strip's yield strength to maintain the two-stage mechanism. Thicker plates (8–20 mm) increase energy dissipation during the yielding phase by 113.96%, wider strips (7.5–22.5 mm) would yield the greater absorption by 344%, increasing the number of strips (1−6) results in a 375% rise in cumulative energy dissipation, and shorter strip heights (65–95 mm) improve energy dissipation by 67%. A numerical framework using nonlinear time-history analyses was developed in OpenSees to assess a 20-story high-rise building equipped with the hybrid system. The performance of the SHFYD was compared with the bare frame (BF) and a conventional damper (CSFYD) under suites of ground motions at Design Basis Earthquake (DBE) and Maximum Considered Earthquake (MCE) levels. Results show that the SHFYD outperforms both reference systems, reducing inter-story drifts and residual deformations. At the DBE level, the maximum mean IDR decreased from 2.68% (BF) to 1.20% (SHFYD), and at the MCE level from 5.44% to 1.70%, satisfying performance targets. A two-phase analytical framework was developed to predict the friction-to-yielding transition, confirming the damper’s hysteretic behavior.
Open Access: Yes
