Search Results (7,596)

Earthquake-induced landslides represent a critical threat to transportation infrastructure in tectonically active mountainous regions, particularly in tropical volcanic settings where weak, highly weathered geomaterials dominate. This study develops an integrated framework that directly links physically based seismic threshold modelling with real-time landslide monitoring and operational early warning. The approach is demonstrated in the Cugenang area of Cianjur Regency, West Java, Indonesia, which was severely impacted by the moment magnitude (Mw) 5.6 earthquake in 2022. Slopes composed of highly weathered pyroclastic deposits [Plasticity Index (PI) = 54–68%; porosity > 60%] exhibit low shear strength and high sensitivity to seismic loading. Limit equilibrium analysis using the Morgenstern–Price method that combines the influence of seismic loading and groundwater conditions suggests that a horizontal seismic coefficient (kh) of approximately 0.06, corresponding to a Peak Ground Acceleration (PGA) of about 0.12 gravitational acceleration (g), is a critical threshold for initial landsliding. This comparatively low threshold challenges commonly reported values and demonstrates that slope failure in tropical volcanic terrains can occur under moderate ground shaking, reinforcing the need for site-specific hazard characterisation. The derived thresholds are operationalised within a multi-sensor early warning system integrating Micro-Electro-Mechanical Systems (MEMS) accelerometers and inclinometer measurements. Three hazard levels—Normal (<0.06 g), Alert (0.06–0.12 g), and Emergency (≥0.12 g)are combined with deformation thresholds [<10 milimeter (mm), 10–30 mm, >30 mm] to capture progressive failure processes and minimise false alarms. By coupling geotechnical modelling and real-time monitoring, this study provides a transferable and scalable framework for enhancing infrastructure resilience in landslide-prone regions. Full article

The article investigates damage in textile-reinforced rubber conveyor belts caused by impact loading. The study aims to evaluate how impact conditions and belt structural properties affect severe damage formation and to develop predictive models for identifying critical operating conditions. Damage assessment was performed using visual inspection and computed tomography (CT), with CT serving as a reference method due to its ability to detect internal defects in the load-bearing carcass. CT identified more severe damage cases than visual inspection, confirming its higher sensitivity. Experimental tests were carried out with impact heights between 0.8 and 2.6 m and impact weights from 50 to 100 kg. The results showed that impact energy is the dominant factor influencing damage formation, as higher impact heights and weights significantly increased the probability of severe damage. Belt structural characteristics also affected damage resistance, especially the thickness of the top cover, which reduced the risk of failure. To predict severe damage, Logistic Regression, Random Forest, and XGBoost models were applied, all achieving excellent performance (AUC > 0.95). Logistic Regression (AUC = 0.994) additionally enabled the estimation of damage probability and the identification of critical impact conditions. The proposed approach supports safer operating limits, risk assessment, and predictive maintenance in conveyor systems. Full article

This study aimed to examine the relationship between post-traumatic stress symptoms following cryptocurrency loss and early maladaptive schemas in physicians. This cross-sectional study was conducted using a relational screening model and included 94 physicians across Türkiye who reported financial loss in cryptocurrency markets between 15 April and 15 July 2022. Data were collected online using a sociodemographic information form, the Young Schema Questionnaire–Short Form 3, and the Impact of Event Scale-Revised. Participants with an Impact of Event Scale–Revised total score of 33 or higher were classified as having elevated IES-R symptoms, reflecting elevated event-related distress according to a screening cutoff rather than a clinical diagnosis of PTSD. Eighteen participants (19.1%) were classified into this group. While no significant differences were found in age, marital status, employment status, or investment duration, the proportion of savings allocated to crypto was higher among participants with elevated IES-R symptoms. The elevated IES-R symptom group had higher scores in Failure, Pessimism, Dependence/Enmeshment, Punitiveness, Defectiveness, and Vulnerability to Harm, and additional correlation analyses showed that the IES-R total score was positively associated with Pessimism, Punitiveness, Dependence/Enmeshment, and Failure after false discovery rate correction. However, in the exploratory logistic regression analysis, none of these variables independently predicted elevated IES-R symptom status. These findings suggest that cryptocurrency loss may represent not only a financial stressor but also a significant experience associated with post-traumatic stress symptoms and maladaptive schema patterns in physicians. Full article

Background/Objectives: Rifampicin-resistant tuberculosis (RR-TB) and HIV co-infection remain major contributors to morbidity and mortality, particularly in high-burden settings. HIV-related clinical factors, including viral suppression, CD4-defined immune status, HIV drug resistance, virological failure, and ART failure, may influence RR-TB treatment response; however, existing evidence remains fragmented. This systematic review and meta-analysis protocol aims to synthesize evidence on the impact of HIV viral suppression, immune status, and HIV drug resistance/ART resistance status on RR-TB treatment outcomes. Methods: This protocol was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols guidelines. Published peer-reviewed studies and relevant grey literature from January 2005 to December 2025 will be searched in PubMed/MEDLINE, Cochrane Library, Embase, Web of Science, ScienceDirect, EBSCOhost, PsycINFO, Google Scholar, and other relevant sources. No language restriction will be applied at the search stage. Where feasible, non-English records will be translated for title/abstract and full-text screening. Two reviewers will independently screen studies, extract data, and assess study quality, with disagreements resolved by a third reviewer. Study-level risk of bias will be assessed using design-appropriate tools, and the certainty of evidence for each outcome will be evaluated using GRADE. Results: Evidence will be synthesized narratively and, where studies are sufficiently homogeneous, quantitatively through meta-analysis. Outcomes of interest will include treatment success, treatment failure, mortality, treatment completion, microbiological cure, and adverse events. Subgroup analyses will be considered by viral suppression status, CD4-defined immune status, HIV drug resistance/ART resistance status, geographic region, and treatment regimen where data permit. Conclusions: This review will provide evidence on how HIV viral suppression, immune status, and HIV drug resistance/ART resistance influence RR-TB treatment outcomes. The findings may inform integrated TB/HIV care, clinical monitoring, and treatment strategies for individuals co-infected with HIV and RR-TB. Full article

Peacekeeping operations in sub-Saharan Africa continue to be impacted by malaria both in-country and among returning service members. The Royal Thai Army (RTA) deploys an engineering company to Juba and Rumbek, South Sudan to conduct peacekeeping operations as part of the UN Mission in South Sudan (UNMISS). Each deployment is approximately 12 months long. The unit is given doxycycline one week before travel before switching to the UN-provided mefloquine during deployment and for four weeks after returning. The RTA routinely conducts post-deployment screening for malaria by microscopy and PCR for units returning from UNMISS. High rates of prophylaxis failure were observed from both during-mission and post-deployment screening cases, with cumulative malaria attack rates of 11.4% (31 cases out of 271 personnel), 18.2% (49 cases out of 270 personnel), and 23.1% (63 cases out of 273 personnel) for 2023, 2024, and 2025, respectively, with 98% of cases being due to P. falciparum. Furthermore, post-deployment screening revealed high rates of sub-microscopic and sub-clinical parasitemia with 40% of all malaria cases being identified as asymptomatic during post-deployment screening, and 61% of those asymptomatic cases being detected by PCR only. While factors underlying the high prophylaxis failure rate, as well as the high rate of sub-microscopic and sub-clinical parasitemia are unclear, these findings highlight the limitations of relying on clinical symptoms or microscopy for detecting malaria in military units returning from endemic regions and underscore the importance of unit-wide post-deployment molecular screening. Full article

Background/Objectives: Pelvic organ prolapse (POP) management requires precise patient selection for surgical techniques to balance clinical efficacy and safety. The primary aim of this study was to evaluate the role of preoperative 3D/4D transperineal ultrasound in the risk stratification of POP recurrence. We analyzed the impact of levator ani muscle (LAM) injuries, specifically avulsion and ballooning, as identified by ultrasound, on both anatomical and subjective success rates, comparing native tissue repair versus mesh-augmented surgery. Methods: A prospective, multicenter observational study was conducted over a five-year period, January 2021 to December 2024 (recruitment), with follow-up completed in December 2025, ensuring a minimum follow-up of 12 months for all participants. The cohort included 276 women scheduled for primary surgery for symptomatic POP stage ≥ 2. Prior to intervention (116 underwent native tissue repair and 160 received mesh), all patients underwent 3D/4D transperineal ultrasound for standardized volume acquisition. Using this preoperative functional imaging technique, we measured the hiatal area and diagnosed the presence of hiatal ballooning (≥25.0 cm²) or levator muscle avulsion. Results: Ultrasound assessment revealed significant differences in surgical success based on the diagnosed baseline site-specific defects. Hiatal ballooning was the sonographic finding that demonstrated the greatest impact on risk stratification. Among patients with preoperative ballooning, mesh use significantly reduced both subjective recurrence (5.7% vs. 21.4%, p = 0.001) and objective recurrence (21.4% vs. 35.7%, p = 0.040) compared to native tissue repair. Furthermore, in women without ultrasound-documented avulsion, mesh also decreased objective recurrence (17.9% vs. 33.0%, p = 0.024). Multivariate analysis, adjusted for age, BMI, menopausal status, and parity, confirmed that, after stratifying by these preoperative ultrasound findings, a native tissue approach remains the primary independent predictor of surgical failure (OR 1.752 for objective recurrence; p = 0.041). Conclusions: In conclusion, native tissue repair was identified as the primary independent predictor of surgical failure. While 3D/4D transperineal ultrasound helps identify high-risk phenotypes such as hiatal ballooning, these sonographic findings did not maintain independent significance in the multivariate model. Therefore, ultrasound should be considered a complementary tool for surgical planning rather than a definitive predictor of recurrence. Full article

The objective of this study is to mitigate the bottom-out failure and improve the energy absorption of conventional helmet liners during high-energy impacts, thereby reducing the risk of head injuries. To this end, a locally reinforced Primitive-type triply periodic minimal surface (P-TPMS) energy-absorbing liner is proposed for the helmet forehead region, which facilitates progressive energy dissipation through layer-by-layer buckling deformation. A finite element model of a helmet–head coupling was created based on a previously verified high-fidelity head model and subsequently validated against the ECE 22.06 standard drop-test methodology. Three critical design parameters—outer protective layer thickness, triply periodic minimal surface (TPMS) unit cell size, and wall thickness—were optimized employing the Box–Behnken Design (BBD) response surface methodology, resulting in quadratic regression models for the head injury criteria (HIC) and peak linear acceleration (PLA) with good fit ($R^2$ > 0.97). Optimal parameter combinations were established using multi-objective optimization, with protective efficacy carefully assessed from both head dynamic response and biomechanical response perspectives. The ideal P-TPMS liner possesses an outer protective layer thickness of 14.95 mm, a TPMS unit cell size of 12.23 mm, and a wall thickness of 3.93 mm. Compared to the traditional expanded polystyrene (EPS) liner, the optimized P-TPMS liner significantly reduces HIC (by ∼16%) and PLA (by ∼14%) while extending the impact duration. More critically, it transitions both intracranial pressure and brain tissue strain below their respective clinical injury thresholds, substantially lowering the risks of skull fracture and mild traumatic brain injury (mTBI). The P-TPMS construction facilitates continuous energy dissipation during impacts via incremental layer-by-layer buckling deformation, hence extending impact duration and markedly improving helmet protective efficacy. These findings offer theoretical foundations and technical direction for the creation of localized heterogeneous liner designs in advanced high-performance helmets, although the results are limited to frontal flat-anvil impact conditions. Full article

Localized failures of structural components can lead to serious social, economic, and environmental consequences, such as the collapse of an entire structure or part of it. Therefore, it is important to thoroughly investigate and justify the acceptance criteria for these components, taking into account their performance in extreme conditions. However, the scientific literature lacks a systematic analysis of how various factors can affect the resistance of structures and influence acceptance criteria under extreme conditions. Therefore, this study investigates the typical substructures of reinforced concrete frame buildings in areas that are potentially prone to local collapse. To assess their resistance and structural robustness, an analytical model has been developed. The results of 22 tests on typical substructures of monolithic and precast frames, reported in various research studies, were used to validate this model. Further, this analytical model was used to conduct a parametric study on the impact of various factors on the performance of substructures under extreme conditions. These factors included the depth-to-span ratio of the beam, the strength of the bond between the steel reinforcement and the concrete, the stiffness of the horizontal bracing within the substructure, and the proportion of the effective depth to the total depth of the beam section. It has been found that the ultimate rotation angle in the plastic hinge of beams increases as the ratio of the beam’s cross-sectional depth to the span increases. An increase in the bond strength between the reinforcement and concrete leads to a decrease in the ultimate rotation angles in the plastic hinge at the flexural and arch stages of resistance and, in some cases, to reinforcement rupture without transitioning to the catenary stage of resistance. A decrease in the ratio of the effective depth of the beam section to its overall depth leads to an increase in the load-bearing capacity at the catenary stage of 19%. Full article

This study investigates the structural performance and shear capacity of reinforced concrete (RC) columns characterized by diverse material and detailing deficiencies. Using a numerical modeling approach for an 8-story RC building, the research evaluates the vulnerability of a critical ground-story corner column through a nonlinear static pushover analysis. The investigation systematically examines the impact of isolated variables, including low-strength concrete, insufficient transverse reinforcement spacing, inadequate concrete cover, and the use of plain bars. The analysis demonstrates that each deficiency, when evaluated independently, induces a shear demand that exceeds capacity. Furthermore, under combined deficiency scenarios, the Performance Ratio (PR) escalates to 4.17. Two primary strengthening strategies, Fiber Reinforced Polymer (FRP) wrapping and RC jacketing, were assessed for their effectiveness in restoring structural integrity. The results demonstrate that while FRP wrapping successfully reduces the PR values to safe limits (0.40–0.56) across all models, localized RC jacketing remains insufficient, with PR values exceeding the unity threshold. These findings highlight the superior efficiency of FRP in mitigating brittle shear failures in deficient RC structures and provide critical insights for element-based retrofitting practices. Full article

Aortic stenosis is predominantly treated through transcatheter bioprosthetic heart valve implantation. However, the materials used in these devices are prone to premature failure. Polymer heart valves provide an alternative to current commercial devices, offering materials with greater durability and customisation through fibre reinforcement. Given the wide range of available materials and structures, there is a need for a systematic and efficient approach to designing and optimising novel bioinspired polymeric leaflets. This work presents a framework that employs computational modelling and Design of Experiments (DOE) tools to optimise bioinspired, 3D-printed, fibre-reinforced polymer leaflets made using melt electrowriting (MEW). Here, finite element (FE) models are created to represent MEW fibre-reinforced polymer leaflets for application in a transcatheter aortic heart valve. The behaviour of this valve under physiological loading conditions is modelled to predict valve performance and leaflet material response. These models were first used to investigate the impact of fibre orientation on valve performance and leaflet response, thereby demonstrating the benefits of a bioinspired fibre reinforcement structure. Using a DOE approach, the structural combination of MEW fibre reinforcement and an elastomeric matrix was optimised to improve valve performance and reduce leaflet stress and strain. Overall, the framework offers an efficient and versatile methodology for optimising fibre-reinforced polymer leaflets using an in silico approach, thereby reducing the need for physical prototyping and testing of these next-generation devices during early product development. Full article

A trend toward comorbid conditions is seen in around 50% of gynecological patients, with a significant contribution made by endometriosis as a common and incurable gynecological condition. Over the last decades, the global burdens of different forms of endometriosis have shown a progressive increase, while their diagnosis and management present persistent and significant challenges. Currently, endometriosis is divided into two primary types: genital (adenomyosis and external genital endometriosis, including ovarian endometriosis) and extragenital endometriosis. Regardless of the location of endometriosis, lesions or ectopic endometrium follow a consistent pathological process characterized by active proliferation, local inflammation, neoangiogenesis, and extracellular matrix remodeling. These pathogenetic patterns are associated not only with process progression, but also with the impact on the eutopic endometrium. External genital or extragenital endometriosis and adenomyosis (an internal genital endometriosis) are currently considered as a major cause of infertility and implantation failures due to the negative impact on the eutopic endometrium. However, it has been proven that the pathogenetic pathways for the development of eutopic endometrium dysfunction in these endometriosis phenotypes (despite the common pathophysiology of the ectopic endometrium) differ significantly. This narrative review is focused on highlighting the relevance and pathogenetic patterns of the two most frequently diagnosed forms of endometriosis—adenomyosis and ovarian endometrioid cysts—as key areas of research interest relating to their relevance, specific pathophysiology and impacts on the eutopic endometrium. Full article

Short circuits and subsequent fires resulting from objects impacting the bottom of vehicle power battery packs considerably jeopardize electric vehicle (EV) operations. This study investigated underbody impacts in EVs and the overall mechanical properties of battery cells. Key features of road debris were extracted and simplified to establish a geometric parameter structure model and determine realistic battery pack responses to debris impact. Quasi-static compression and dynamic impact tests on a prismatic lithium-ion battery (LIB) and power battery pack followed. Macroscopic mechanical responses, deformation failure modes, and internal jellyroll damage of cells and packs were evaluated, and constitutive equations and failure parameters were derived to develop a finite element model, whose effectiveness and reliability were verified by comparing simulation results with experimental data. Finally, a homogenized model of the prismatic LIB and power battery pack was constructed, which effectively predicted the macroscopic mechanical response and internal short-circuit failure under mechanical loading. However, simulation and test results revealed certain deviations in cell indentations under battery pack bottom impacts, presumably because the FEMs neglect the dynamic strain rate effects of electrolyte and cooling liquid. Overall, this study elucidates safety risks to cells and their key components under power battery pack bottom impacts. Full article

Strong seismic waves induced by drill-and-blast tunnel excavation threaten the structural integrity of adjacent existing tunnels; however, prevailing safety evaluation methods mostly simplify tunnel linings as homogeneous continua, failing to accurately characterize the meso-scale uncoordinated dynamic response between rebar and concrete under blast impact. To fill this research gap, a 1:1 full-scale separated three-dimensional finite element model of reinforced concrete composite linings was established using the LS-DYNA explicit dynamic numerical algorithm, which was verified by previous 1:25 scaled physical model tests. This study systematically quantifies the spatiotemporal evolution of lining dynamic responses under two core parameters—tunnel clear distance (10 m to 60 m) and single-delay detonating charge quantity (10.8 kg to 28.8 kg)—to validate the response differences between materials. It is abstracted that the structural failure is dominated by axial tensile stress, with the embedded rebar being significantly more sensitive to internal stress surges (reaching 3.5 times the peak stress of concrete), while the concrete is more sensitive to particle vibration velocity amplification, a mismatch that is particularly acute within a 30 m clear distance. This study highlights the severe interfacial stress gradient between rebar and concrete, providing an indirect but critical indicator for the potential risk of interface debonding under adjacent blasting, and offers a quantitative theoretical basis for extending safety assessments from macro-surface vibration control to refined meso-scale internal stress monitoring. Full article

Wind turbine gearbox failures lead to substantial downtime and high maintenance costs. Although condition-monitoring systems are widely used, traditional life-extension methods that simply reduce power output often decrease revenue. Current research frequently treats life optimization and power generation independently, and as such lacks a quantitative link between control strategies and remaining useful life. To address this gap, this paper proposes a novel life-extension strategy that optimizes power generation by dynamically adjusting rotor speed and pitch angle. A transfer learning–long short-term memory model enhanced by multi-source information fusion is developed to predict remaining useful life accurately under conditions with limited fault data. Utilizing real operational data from 2 MW wind turbines in Northeast China, the study quantitatively analyzes the impact of variable-speed and pitch control. The results demonstrate that while both strategies extend life, variable-speed control offers superior effectiveness in improving remaining useful life. Furthermore, maximum power generation is achieved not at full capacity, but when the output is reduced to approximately 70% of the nominal power. At this optimal point, the proposed strategy increases power generation by up to 7.3%. This establishes a dynamic balance between operational safety and economic efficiency, overcoming the limitations of conventional methods. Full article

This study investigates the shear damage mechanisms in reinforced concrete (RC) beams through non-linear numerical modeling. Using the Finite Element Method (FEM) in ABAQUS, a Concrete Damaged Plasticity (CDP) framework was validated against experimental results and subsequently utilized for a 36-model parametric investigation. The study isolated the influence of stirrup spacing, diameter, and yield strength to evaluate their roles in ultimate shear capacity. The results indicated that while increasing stirrup diameter yielded modest capacity enhancements of approximately 7%, the impact of increasing yield strength was negligible, as the failure modes were primarily governed by concrete web crushing before reinforcement yielding could occur. These physical limit states were compared against the linear Truss Analogy adopted by major design standards—including ACI 318-19, Eurocode 2, and TS 500—to quantify discrepancies in heavily reinforced sections. The findings reveal that, strictly within the investigated parameter space (a/d = 2.67, f’_c = 28.5 MPa), current linear equations can significantly overestimate the physical capacity gains provided by reinforcement modifications. These observations are configuration-specific and highlight the need for cautious application of linear models in heavily reinforced scenarios. Furthermore, the study suggests that utilizing 3D beam elements for transverse reinforcement provides a more nuanced representation of shear transfer mechanisms, such as dowel action, compared to standard truss models. Full article