Search Results (9,794)

The M_L4.9 Wang Nua earthquake on 20 February 2019 is the largest earthquake to occur in Lampang Province in the past four decades and identifies the potential seismic hazard of previously unmapped faults in northern Thailand. We reanalyzed this earthquake sequence using waveform-based matched-filter detection and double-difference relocation techniques. The enhanced catalog increases the number of small earthquakes by 2.5 times compared with the official record. It also reveals microearthquakes down to M_L–0.3, including a previously unreported foreshock sequence beginning approximately four hours before the mainshock. Relocated hypocenters define an 8 km long, near-vertical N-S striking rupture zone at depths of 0.7–10.6 km. The focal mechanism of the mainshock indicates right-lateral strike-slip motion (strike ~189°, dip ~77°, rake ~–150°), aligned with the kinematics of other extensions of the Phayao Fault Zone. These results indicate that the sequence occurred on a previously unrecognized fault segment. This highlights the importance of high-resolution seismic analysis for improving hazard assessment in regions with concealed fault systems Full article

Accurate detection and efficient loss assessment serve as critical technical foundations for disaster evaluation by agricultural insurance providers. However, existing detection methods often face limitations such as low detection accuracy and high missed detection rates when dealing with small-scale sunburn lesions in the trellis cultivation environment of kiwifruit, due to unclear texture features and severe canopy obstruction. This study proposes the YOLO-ST-OD model, an improved version of YOLOv11s, for detecting sunburned kiwifruit fruits with small targets in different complex environments. By dynamically adjusting the receptive field via the LSKNet module to achieve the precise detection of key features and suppression of background noise, and by coordinating with the multi-branch spatial and channel enhancement mechanism of the MCSEAM module to effectively compensate for feature loss caused by overlapping leaves or fruits, the system utilizes the RFAMPS module to fuse sub-pixel convolution with dynamic attention for high-fidelity spatial reconstruction. The experimental results show that the precision rate (P) of the YOLO-ST-OD model reaches 0.862, the mean average precision (mAP) reaches 0.837, and the recall rate reaches 0.818. Compared with mainstream models such as YOLOv5s, YOLOv7, YOLOv8s, YOLOv9, YOLOv10s and Faster CNN, it has better comprehensive performance in terms of precision, mAP and floating-point computation. Compared with the baseline model YOLOv11s, which achieved accuracy of 0.813, mAP of 0.752 and recall of 0.792, the YOLO-ST-OD model saw improvements of 6.03%, 8.78% and 5.68% in average accuracy, recall and mAP, respectively. The experimental results also demonstrated the robust performance of YOLO-ST-OD across varying levels of occlusion, fruit densities and imaging altitudes. This research can provide technical support for the rapid assessment of sunscald damage to kiwifruit, enabling faster post-disaster assessments and reducing costs for insurers. Full article

Reinforced concrete (RC) buildings in coastal seismic regions are exposed to coupled deterioration processes driven by chloride-induced corrosion and earthquake loading. This interaction is particularly critical along the Mexican Pacific coast, where persistent marine exposure coincides with high seismic hazard. Nevertheless, current models lack a consistent multi-physics framework that integrates chloride transport, electrochemical heterogeneity (including galvanic interactions), and seismic structural response. This study quantifies the influence of corrosion on seismic collapse probability by explicitly modeling the coupled mechanisms of moisture transport, chloride ingress, and electrochemical potential distribution in RC members. A three-dimensional mechanistic framework is adopted to capture the spatial variability in corrosion, including galvanic interactions between passive and active reinforcement regions. A representative scenario is examined in which a corner column remains in continuous contact with seawater, promoting localized chloride accumulation and sustained corrosion activity. The resulting nonuniform section loss is incorporated into nonlinear structural models subjected to mainshock–aftershock sequences. The results show that corrosion-induced heterogeneity, amplified by galvanic coupling between passive and active zones, accelerates strength and stiffness degradation. Compared to conventional uniform corrosion assumptions, this effect leads to a significant increase in early collapse probability, with values increasing from near-zero levels to approximately $0.6$–$0.9$ at moderate seismic intensity levels. These findings emphasize the need to account for coupled transport and electrochemical processes, as well as localized exposure conditions, in the seismic assessment of RC structures in aggressive coastal environments. Full article

Background: The prognostic significance of histological transformation (HT) in treatment-naive diffuse large B-cell lymphoma (DLBCL) remains controversial. This study aimed to evaluate the clinical outcomes and failure patterns of treatment-naive transformed DLBCL (trDLBCL) compared with de novo DLBCL using a large-scale cohort. Methods: We retrospectively analyzed 1735 consecutively enrolled treatment-naive DLBCL patients (118 trDLBCL and 1617 de novo). Propensity score matching (PSM) was performed to balance baseline characteristics. Survival outcomes were assessed using Kaplan–Meier and Cox proportional hazards models. Subgroups were defined by pathology (t-FL vs. t-MZL) and pattern: concurrent (synchronous indolent lymphoma and DLBCL components at diagnosis)vs. pure transformation (DLBCL occurring as the sole histology in patients with a prior history of untreated indolent lymphoma). Results: In the overall cohort, trDLBCL was associated with significantly inferior progression-free survival (PFS) compared with de novo disease and remained an independent adverse prognostic factor in multivariable analysis (HR 1.754, p < 0.001). These findings were confirmed in a 1:1 propensity score-matched cohort (108 pairs), where trDLBCL continued to show worse PFS (p < 0.01), while overall survival (OS) was comparable (p = 0.99). Within trDLBCL patients, the underlying indolent subtype (t-FL vs. t-MZL) did not significantly affect survival (PFS p = 0.17, OS p = 0.35), whereas “pure transformation” was associated with markedly inferior PFS (p = 0.005) and OS (HR 2.56, p = 0.02) compared with concurrent transformation. Failure pattern analysis revealed a higher risk of early progression in trDLBCL (POD24: 30.56% vs. 18.52%; OR 1.94, 95% CI: 1.05–3.56), whereas central nervous system (CNS) involvement was low and comparable between groups (2.78% vs. 0.93%, p = 0.62). Conclusions: Treatment-naive trDLBCL is associated with inferior PFS driven by early progression, whereas OS is comparable due to effective salvage therapies. Pure transformation appeared to define a higher-risk subgroup with inferior disease control, supporting the need for future prospective studies to evaluate risk-adapted frontline, consolidation, or maintenance strategies. Full article

Background: Anterior cranial fossa dural arteriovenous fistulas (ACF DAVFs) usually receive ethmoidal dural supply. Pial arterial supply has been described in intracranial DAVFs, including ACF DAVFs, but a dominant orbitofrontal pial feeder can create diagnostic overlap with mixed pial-dural arteriovenous malformation and make endovascular treatment hazardous. Case Presentation: A 75-year-old man with atrial fibrillation presented with right middle cerebral artery occlusion and underwent intravenous thrombolysis followed by mechanical thrombectomy. During right internal carotid angiography, transient arterial-phase opacification of a contralateral frontal draining vein through the anterior communicating artery prompted post-recanalization angiography. A high-grade left ACF DAVF was diagnosed, with dominant supply from the left orbitofrontal artery, minor anterior ethmoidal supply, two venous drainage routes, cortical venous reflux, and a varix. Although the DAVF was incidental to the ischemic presentation, it was considered to require treatment because of high-risk angioarchitecture, including Borden type III/Cognard type IV drainage, cortical venous reflux, and venous ectasia. No intraparenchymal nidus or normal venous-phase use of the refluxing veins was identified. Because pial transarterial access and complete transvenous closure were considered unsafe or uncertain, microsurgical draining-vein disconnection was performed. Postoperative angiography confirmed complete obliteration. Conclusions: In this case, microsurgical disconnection achieved angiographic cure, and the patient was transferred for rehabilitation with a modified Rankin Scale score of 1. The central diagnostic and therapeutic issue in pial-feeder-dominant ACF DAVF is not rarity alone, but angiographic differentiation from mixed pial-dural arteriovenous malformation and assessment of whether the shunt can be closed without compromising normal pial arteries or venous outflow. The thrombectomy angiogram provided the route to diagnosis, whereas pial arterial dominance and divided venous drainage determined the curative strategy. Full article

Bangladesh is an extremely climate-exposed country, with erosion, accretion, tidal surges, and cyclones continuously modifying coastal districts. Shoreline change in Bangladesh is crucial for sustainable coastal management and disaster resilience. Therefore, the objectives of this research are as follows: (i) to assess accretion- and erosion-based shoreline changes of the Bangladesh delta adjacent to the Bay of Bengal for 2021–2025 using a fixed 2021 reference shoreline and a 2025 shoreline proxy extracted from Landsat 8/9 imagery, and (ii) to explore onshore change dynamics from satellite-derived NDVI, NDBI, and NDWI for 2022–2025. The study covers 14 coastal districts and integrates the 2021 baseline shoreline, Survey of Bangladesh geospatial datasets, and 17,055 Ground Reference Points (GRPs) to support geometric consistency and spatially explicit reporting at the delta scale. Three spectral indices—Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), and Normalized Difference Built-up Index (NDBI)—were applied to assess vegetation health, surface water distribution, and built-up/exposed land characteristics. Results indicate spatial variability in coastal change, with 383.49 km² of land gained through accretion and 124.12 km² lost to erosion, resulting in a neat accretion of 259.37 km² between 2021 and 2025; 8747.91 km² remained geomorphologically stable. Spectral index trends show minimal inter-annual NDVI and NDWI variability, suggesting stable vegetation cover and no long-term expansion of surface water. In contrast, a slight increase in NDBI indicates localized exposure of new sediments or small-scale land-use transitions along emerging coastal zones. Spearman correlation analysis highlights consistent negative relationships between NDVI and NDWI and moderate contrasts between NDVI and NDBI, reinforcing the coexistence of vegetation recovery, water withdrawal, and sediment-driven land emergence. The novelty of this study lies in the provision of consistent, near-real-time coastal change inventory for the full ~710 km Bangladesh delta coastline by combining a common 2021 baseline shoreline with harmonized Landsat 8/9 OLI surface reflectance (2022–2025) and linked onshore spectral-index dynamics over the same period. Overall, this short-term assessment reveals a sedimentary system that is active but balanced, with accretion surpassing erosion despite cyclone-affected disturbances, underscoring the value of operational satellite monitoring for coastal management, hazard preparedness, and climate-adaptive planning. Full article

Road intersection crashes remain a major contributor to injuries due to complex conflict patterns and multimodal interactions. Among the factors influencing intersection safety, inadequate intersection sight distance (ISD) attributed to roadside sight obstructions can limit drivers’ ability to respond to conflicting movements, potentially affecting crash injury outcomes. Despite its importance, visual obstruction has rarely been examined as a distinct context in traffic crash injury severity modeling. This study investigates crash injury severity at visually obstructed intersections using an ordinal probit modeling framework applied to 951 intersection crashes documented with sight obstruction as a contributing factor in Wyoming over the period 2014 through 2023. Crash data were analyzed to identify the effects of driver behavior, vehicle characteristics, roadway geometry, environmental conditions, and traffic control on ordered injury severity outcomes ranging from property damage only (PDO) to fatal and serious injury. Nonparametric bootstrap resampling with 1000 iterations was employed to assess parameter stability and construct empirical confidence intervals. Average marginal effects were estimated to quantify the change in probability of each injury severity level associated with key predictors. The results indicate that alcohol involvement produces the largest severity shift, reducing the probability of PDO outcomes by 51.2 percentage points while increasing the probability of fatal and serious injury by 34.2 percentage points. Hillcrest grade locations increase fatal and serious injury risk by 14.4 percentage points, while adverse road surface conditions, including snowy, icy, and wet pavements, consistently reduce fatal and serious injury probability by 12.5 to 15.1 percentage points, reflecting behavioral adaptation to visually salient hazard cues. Bootstrap validation confirms strong parameter stability across all estimates, with 94% of parameters showing bootstrap standard errors within 25% of their asymptotic counterparts. By formally establishing visually obstructed intersections as a dedicated severity modeling context and integrating systematic bootstrap validation, this study contributes both substantive and methodological insights to support evidence-based prioritization of intersection safety improvements. Full article

Polychlorinated biphenyls (PCBs) persist in the environment as complex mixtures and undergo extensive biotransformation, yet the developmental toxicity of PCB metabolites remains poorly defined. We evaluated developmental, neurobehavioral, and molecular effects of parent PCBs, hydroxylated, methoxylated, and sulfated metabolites, and environmentally relevant mixtures using embryonic zebrafish. This study employed a high-throughput screening approach using nominal exposure concentrations to enable rapid hazard identification and prioritization across a large chemical series. Morphological abnormalities and photomotor behavior were assessed across early development, followed by targeted cyp1a reporter analysis and transcriptomic profiling for a subset of potent exposures. Most chemicals induced morphological effects, with hydroxylated and sulfated metabolites producing effects more frequently and at lower benchmark concentrations than parent congeners. Behavioral alterations were more prevalent in embryonic photomotor response than larval photomotor response and generally co-occurred with morphological effects. Environmental mixtures elicited broad phenotypic profiles comparable to highly active individual compounds. Transcriptomic analyses revealed minimal responses for parent PCBs but robust, exposure-specific gene expression changes for select metabolites, particularly 5-OH-PCB11, and mixtures. Differentially expressed genes were enriched for xenobiotic metabolism, immune signaling, and neuroactive pathways, alongside consistent downregulation of circadian regulators. Together, these results demonstrate contributions of PCB metabolites and mixtures to toxicity. Full article

Brominated flame retardants (BFRs) are widely used in automotive polymers and electronic components, yet vehicles remain an under-characterized and potentially high-exposure microenvironment, particularly in hot climates. This study provides the first comprehensive assessment of BFR occurrence, sources, and exposure risks in vehicle dust from Saudi Arabia, addressing a critical regional data gap. This study systematically investigates the occurrence, compositional patterns, sources, and human exposure risks of polybrominated diphenyl ethers (PBDEs) and selected alternative BFRs in dust from 80 vehicles (domestic cars and taxis; model years 2015–2022) operating in Jeddah, Saudi Arabia. Dust samples were collected using a standardized vacuuming protocol, extracted and cleaned using solvent extraction and silica SPE, and analyzed via GC–NCI–MS. Both legacy PBDE congeners and emerging alternatives (including DBDPE and TBB) were consistently detected, with BDE-209 dominating the overall BFR burden with mean concentrations of 6560 ng/g in domestic vehicles and 5454 ng/g in taxis, with maximum values reaching 220,860 ng/g. Lower-brominated PBDEs occurred at substantially lower concentrations, reflecting the ongoing global transition away from Penta- and Octa-BDE formulations. Taxis exhibited generally higher concentrations than domestic vehicles, likely due to prolonged occupancy, increased usage intensity, and enhanced dust resuspension dynamics. Multivariate analysis (PCA and correlation) revealed two distinct source categories: (i) legacy Penta-BDE-related congeners associated with polyurethane foam and textile materials and (ii) high-brominated PBDEs and DBDPE linked to hard plastics and electronic components. Human exposure assessment demonstrated that dust ingestion is the dominant exposure pathway, while dermal and inhalation routes contribute minimally. Non-carcinogenic hazard indices (HI) were well below unity for all compounds (HI < 1.67 × 10⁻⁶), and incremental lifetime cancer risks (ILCR) for BDE-209 remained within or near accepted risk thresholds (7.52 × 10⁻⁶–1.04 × 10⁻⁵), although occupational exposure among taxi drivers was consistently higher. Overall, the results demonstrate that modern vehicle cabins act as significant microenvironments for chronic BFR exposure, particularly under high-temperature conditions. Despite generally low estimated risks, the combined effects of chemical persistence, bioaccumulation potential, and mixture toxicity—amplified by extreme in-cabin temperatures—highlight vehicles as overlooked yet significant exposure environments. These findings provide the first comprehensive dataset for the Arabian Peninsula and emphasize the need for climate-sensitive exposure assessment, safer material design, and targeted mitigation strategies in vehicle interiors. Full article

Background: Immunotherapy has become an integral part of systemic treatment for cervical cancer (CC). This study assessed the safety profile of cemiplimab and the association between immune-related adverse events (irAEs) and treatment outcomes in patients with persistent, recurrent or metastatic CC. Methods: This ambispective, multicenter, real-world cohort study included 101 patients treated in 13 reference oncology centers as part of the PCCIG-01 study. We evaluated the frequency and severity of irAEs and their association with progression-free survival (PFS) and overall survival (OS). Survival outcomes were analyzed using the Kaplan–Meier method and Cox proportional hazards models, with p < 0.05 considered statistically significant. Results: After a median follow-up of 7.5 months, adverse events occurred in 45 patients (44.6%) and were mostly grade (G) 1–2. IrAEs were observed in 34 patients (33.7%). Endocrine toxicities predominated (n = 24, 58.5% of irAEs), followed by hepatic (n = 5, 12.2%) and gastrointestinal events (n = 4, 9.8%). G3 irAEs occurred in 8 patients (7.9%). Median PFS was 3.9 months (95% CI 2.9–5.6) in patients without irAEs and 10.9 months (95% CI 5.7–16.3) in those with irAEs (p = 0.03). Median OS was 15.3 months (95% CI 8.6–25.9) in patients without irAEs and was not reached in those with irAEs (95% CI 11.6-NR; p = 0.11). The development of irAEs was associated with a 54% reduction in the risk of progression (HR 0.46, 95% CI 0.27–0.80), with no statistically significant impact on OS. Conclusions: In exploratory analyses, the occurrence of irAEs was associated with improved PFS in cemiplimab-treated patients with persistent, recurrent or metastatic CC. Cemiplimab showed a manageable safety profile, with most toxicities being G1–G2. Full article

Micro(nano)plastics (MNPs) represent a pervasive and escalating threat to global ecosystems and human health. This review provides a critical synthesis of MNPs’ exposure risks across marine, atmospheric, and terrestrial compartments, with a distinct emphasis on identifying cross-media linkages and methodological inconsistencies that limit current risk assessments. Within marine environments, pollution hazard indices reveal significant spatial heterogeneity, yet their utility is constrained by the absence of toxicity weighting and particle characteristic integration. Atmospheric exposure profiles show variable risks, and the MNPs’ concentration in indoor air (up to 15.8 particles/m³) is significantly higher than in outdoor environments, posing a greater inhalation risk to infants and children who spend more time indoors. A marked increase in MNPs’ concentrations within agricultural soils is identified, where the MNP content in mulched soils (average: 570.2 particles/kg) is more than twice that of non-mulched soils (259.6 particles/kg). Critically, studies have now detected MNPs within human tissues, including the blood, intestines, liver, kidneys, tonsils, and brain, highlighting an urgent need to elucidate their multi-organ toxicity mechanisms, with a novel synthesis of gut–brain axis disruption and transgenerational effects. By integrating exposure dynamics with mechanistic toxicity data, this review advances a cross-system framework that identifies priority research directions, namely standardized detection methodologies, combined pollutant toxicity, and cross-system toxicity mechanisms, which are essential for informing mitigation strategies amid this escalating public health crisis. Full article

Real-time crash risk assessment is a key component of proactive road safety management, enabling the identification of hazardous conditions within short temporal intervals before crashes occur. Traditional crash-based models are unsuitable for such applications due to the rarity, reporting delay, and stochastic nature of crash data. Traffic conflicts, capturing near-miss interactions between road users, provide a practical alternative for real-time safety analysis. Over the past decade, numerous modelling approaches have been developed to translate conflict information into crash risk estimates; however, the literature remains fragmented and lacks a unified analytical synthesis. This review presents a state-of-the-art, model-centric analysis of conflict-based approaches, classifying them into five paradigms: statistical/regression-based, Bayesian, extreme value theory (EVT), machine learning (ML), and hybrid models. Beyond classification, the study conducts a structured cross-paradigm comparison across key dimensions, including conflict representation, data characteristics, temporal modelling, uncertainty treatment, validation strategies, computational complexity, and operational readiness. The paradigms are further interpreted through the complementary lenses of conflict frequency and severity. The review identifies key research gaps, including fragmented conflict definitions, challenges in modelling rare and extreme events, incomplete treatment of uncertainty and spatiotemporal dynamics, and limitations in validation, transferability, and deployment. Emerging research directions include standardized and adaptive conflict indicators, EVT–machine learning integration, integrated uncertainty-aware frameworks, advanced spatiotemporal modelling, transferable models, and scalable real-time implementation. By combining structured evidence mapping and cross-paradigm synthesis, this study supports model selection, development, and deployment for dynamic crash risk assessment. Full article

Background: Peripheral artery disease (PAD) impacts more than 200 million individuals globally. Despite its prevalence, management remains suboptimal, partly due to the lack of reliable blood-based biomarkers. The ankle–brachial index (ABI), the current gold-standard test for PAD, is limited by inter-operator variability, misinterpretation, and reduced accuracy in patients with diabetes. Fatty acid binding protein 3 (FABP3) has emerged as a potential biomarker for PAD; however, its prognostic performance relative to ABI remains unclear. This study compared FABP3 and ABI for predicting PAD outcomes using statistical and machine learning approaches. Methods: A total of 1001 participants were prospectively recruited, including 644 patients with PAD and 357 without PAD. The primary outcome was 2-year major adverse limb event (MALE), defined as a composite of vascular intervention, major amputation, or acute limb ischemia. At enrollment, plasma FABP3 was quantified using a validated multiplex immunoassay. Kaplan–Meier analysis of MALE-free survival was performed across pre-specified FABP3 tertiles (high [>3.55 ng/mL], moderate [1.55–3.55 ng/mL], and low [<1.55 ng/mL]) and ABI tertiles (severe [<0.40], moderate [0.40–<0.70], and mild [0.70–0.90]), with curve separation assessed using log-rank tests. Multivariable Cox proportional hazards modelling was used to evaluate the independent relationships of FABP3 and ABI with 2-year MALE after adjustment for baseline demographic and clinical covariates. To assess predictive performance for 2-year MALE, an extreme gradient boosting (XGBoost) classification model incorporating 10-fold cross-validation was trained using a combination of clinical covariates, plasma FABP3 levels, and ABI. Discriminatory performance was assessed using the area under the receiver operating characteristic curve (AUC). Results: The average participant age was 68 years (SD 12), and 34% (n = 340) were women. Mean ABI was 0.75 ± 0.25 and mean FABP3 concentration was 2.97 ± 2.06 ng/mL. Among the 644 participants with PAD, 558 (86.6%) had complete time-to-event data for MALE status, FABP3, and ABI. Over the median follow-up period of 2 years, 140 (25.1%) participants with PAD experienced MALE. Kaplan–Meier analyses demonstrated significant separation in MALE-free survival across FABP3 tertiles (log-rank p < 0.001). At 24 months, MALE-free survival was 100.0% in the FABP3 < 1.55 group, compared with 71.1% in the FABP3 1.55–3.55 group and 67.7% in the FABP3 > 3.55 group. In contrast, ABI severity groups showed less pronounced separation, with 24-month MALE-free survival rates of 80.3% for mild ABI, 73.2% for moderate ABI, and 71.3% for severe ABI, without a statistically significant overall difference (p = 0.170). In adjusted Cox proportional hazards models, FABP3 demonstrated strong prognostic performance for 2-year MALE. A 1 SD increase in log-transformed FABP3 was independently associated with a higher risk of 2-year MALE (HR 1.90, 95% CI 1.60–2.25; p < 0.001), with minimal change after additional adjustment for ABI (HR 1.90, 95% CI 1.60–2.24; p < 0.001). Machine learning analyses similarly favored FABP3 over ABI, with the FABP3-based model achieving an AUC of 0.773 compared to 0.686 for the ABI-based model. Adding ABI to the FABP3 model did not improve discrimination. Conclusions: Circulating plasma levels of FABP3 are strongly associated with PAD outcomes. Specifically, FABP3 demonstrated a stronger and more robust association with 2-year MALE compared to ABI. This study validates the prognostic value of FABP3 for PAD outcomes in comparison to ABI. Full article

Containerized mobile power supplies (CMPS), a critical energy replenishment carrier for all-electric ships, have caused severe economic losses via frequent fire and explosion accidents during temporary port storage in recent years. Existing literature focuses on battery thermal runaway under laboratory conditions and maritime transport risk analysis, but its conclusions are not directly applicable to port temporary storage. Port storage, featuring full-charge quiescent placement and high turnover, differs significantly from maritime transport, while its high-temperature and humid environment is distinct from laboratory settings. Furthermore, no system safety-based risk assessment framework exists, failing to deliver targeted mitigation strategies for practical operations. To address these issues, fault tree analysis (FTA), Bayesian network (BN), and attack–defense game theory were combined to build a systematic safety risk assessment framework. FTA clarified the hazard factors’ correlation mechanism; based on FTA, BN conducted a quantitative evaluation. Extended from BN results, attack–defense game theory identified key risk evolution paths and formulated targeted prevention and control measures. The main conclusions are as follows: Combined with similar accident features and port storage scenario attributes, internal correlations between hazard-inducing factors were clarified via FTA. Based on expert evaluations and BN calculation, the target port’s fire accident occurrence probability was determined as 2.41%, with two core root nodes identified via sensitivity analysis. Two critical risk evolution paths corresponding to IE1 (thermal runaway initiation) and IE2 (failure of protection and emergency response systems) were identified via game theory and traversal method, with occurrence probabilities of 1.50% and 1.77%, respectively. Targeted prevention and control measures adapted to the port storage scenario were proposed based on path triggering mechanisms. These findings provide theoretical support for port enterprises to improve CMPS fire prevention and emergency response capabilities, elevate port safety management levels, and promote the safe development of the all-electric vessel shipping industry. Full article

Heavy metal contamination in soils threatens ecosystem stability, agricultural productivity, and human health due to its persistence, toxicity, and ecological risks. Microbial remediation has emerged as a sustainable and cost-effective strategy, but the knowledge structure and research trends in this field remain insufficiently summarized. This study conducted a bibliometric analysis of publications on microbial remediation of heavy metal-contaminated soils retrieved from the Web of Science Core Collection from 2000 to 2025. VOSviewer (version 1.6.20), CiteSpace (version 7.0.R0), and the bibliometrix package (version 4.5.0) were used to analyze publication trends, major contributors, influential journals, and keyword evolution. The results showed that the number of publications increased continuously, with rapid growth after 2020. China, India, and the United States were the leading contributors, while Poland, Spain, and the United States played important bridging roles in international collaboration. Ravi Naidu was the most cited author, and Journal of Hazardous Materials was the most productive journal. Keyword analysis revealed a shift from pollutant degradation and microbial screening toward plant–microbe synergistic remediation, co-contaminated soil treatment, microbial community responses, and ecological risk assessment. Future research should emphasize multi-omics-based mechanisms, long-term in situ applications, and integrated evaluation frameworks. Full article