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40 pages, 3222 KB  
Review
Biotechnological Advances for Enhancing European Chestnut Resistance to Pests, Diseases, and Climate Change
by Patrícia Fernandes, Susana Serrazina, Vera Pavese, Angela Martín, Claudia Mattioni, MaTeresa Martínez, Pablo Piñeiro, Margarita Fraga, Beatriz Cuenca, Andrea Moglia, Rita Lourenço Costa and Elena Corredoira
Horticulturae 2026, 12(1), 11; https://doi.org/10.3390/horticulturae12010011 (registering DOI) - 23 Dec 2025
Abstract
Biotechnological tools have emerged as key alternatives for the protection, improvement, and sustainable use of forest species. This paper analyzes the main biotechnological strategies applied to the European chestnut, a species of significant ecological, economic, and cultural importance in many temperate regions. However, [...] Read more.
Biotechnological tools have emerged as key alternatives for the protection, improvement, and sustainable use of forest species. This paper analyzes the main biotechnological strategies applied to the European chestnut, a species of significant ecological, economic, and cultural importance in many temperate regions. However, in recent decades, it has been seriously threatened by various factors, including devastating diseases such as chestnut blight and ink disease, as well as the impacts of climate change. First, classical and assisted breeding techniques are discussed, including controlled hybridization and the use of molecular markers to accelerate the selection of genotypes of interest. In the field of molecular biotechnology, studies related to the identification of key genes, the development of genetic markers (e.g., SSRs and SNPs), and the omics characterization of chestnut are reviewed. The use of micropropagation techniques for the clonal multiplication of elite individuals is also included. Furthermore, advances in genetic modifications are explored, highlighting the introduction of resistance genes through transgenic and cisgenic approaches, as well as emerging technologies such as CRISPR/Cas9. In the future, the integration of classical breeding with advanced genomics will enable the precise selection and accelerated development of European chestnut varieties, combining traditional trait improvement with genomic tools such as marker-assisted selection, genomic prediction, and gene editing to enhance disease resistance and climate resilience. Full article
(This article belongs to the Special Issue 10th Anniversary of Horticulturae—Recent Outcomes and Perspectives)
16 pages, 1150 KB  
Article
Analysis of Clinical Features in Children with Vasovagal Syncope Complicated by Convulsions or Incontinence
by Wenrui Xu, Chunyu Zhang, Junbao Du, Hongfang Jin and Ying Liao
Biomedicines 2026, 14(1), 36; https://doi.org/10.3390/biomedicines14010036 (registering DOI) - 23 Dec 2025
Abstract
Objective: Vasovagal syncope (VVS) complicated by convulsions or incontinence (atypical VVS) has distinct manifestations prone to misdiagnosis. This study sought to investigate the clinical manifestations and contributing risk factors of atypical VVS in pediatric patients, with the goals of providing a scientific [...] Read more.
Objective: Vasovagal syncope (VVS) complicated by convulsions or incontinence (atypical VVS) has distinct manifestations prone to misdiagnosis. This study sought to investigate the clinical manifestations and contributing risk factors of atypical VVS in pediatric patients, with the goals of providing a scientific basis for early identification and improving diagnostic accuracy. Methods: We carried out a case–control study focusing on children with a diagnosis of VVS who received inpatient care in the Pediatric Department of Peking University First Hospital from January 2021 to June 2025. Patients who experienced convulsions or incontinence during syncopal episodes were assigned to the atypical VVS group, while those without these symptoms formed the control group. The clinical data of the two groups were compared, and logistic regression analysis was utilized to detect factors associated with atypical VVS. Results: A total of 393 qualified patients were recruited; there were 68 cases in the atypical VVS group and 325 cases in the control group. The age of the first syncopal episode in children with atypical VVS was significantly lower than that in the control group [9.5 (7.0, 12.0) vs. 11.0 (8.0, 13.0) years, p < 0.05]. Additionally, the atypical VVS group showed higher rates of syncope-related trauma (22.1% vs. 9.2%, χ2 = 7.905, p < 0.01), positive syncope-related family history (35.3% vs. 22.8%, χ2 = −4.067, p < 0.05), and syncope triggered by central factors (33.8% vs. 19.7%, χ2 = 5.721, p < 0.05). The Holter monitoring results revealed that the minimum heart rate was significantly reduced in the atypical VVS group [48.0 (44.8, 52.0) vs. 50.0 (47.0, 54.0) beats/min, p < 0.01]. The analysis of heart rate variability (HRV) showed that the index of the percentage of adjacent normal-to-normal interval differences greater than 50 ms [pNN50; 23.4 (16.6, 34.2) vs. 20.1 (13.1, 28.4), p < 0.05)] and the root mean square of successive differences between adjacent normal cycles [rMSSD; 47.5 (41.0, 64.0) vs. 45.0 (36.0, 56.0), p < 0.05)] was significantly higher in the atypical VVS group than in the control group. Two independent factors associated with atypical VVS were detected with multivariate logistic regression: age at the first episode (OR = 0.874, 95% CI 0.802–0.952, p < 0.01) and minimum heart rate (OR = 0.921, 95% CI 0.879–0.965, p < 0.01). Conclusions: Pediatric patients with atypical VVS present with lower minimum heart rate and a higher incidence of syncope induced by central triggers. Compared with children with typical VVS, those with atypical VVS exhibit more pronounced autonomic nervous system imbalance, characterized by enhanced vagal tone. For children with VVS showing these clinical features, careful differential diagnosis, close follow-up, and vigilance against prolonged asystole during syncopal episodes are recommended. Full article
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16 pages, 1962 KB  
Article
Hierarchical Analysis for Construction Risk Factors of Highway Engineering Based on DEMATEL-MMDE-ISM Method
by Peng Zhang, Yandong He, Yibo Zhang, Rong Li and Biao Wu
Sustainability 2026, 18(1), 116; https://doi.org/10.3390/su18010116 - 22 Dec 2025
Abstract
To effectively mitigate risks in highway construction and thereby ensure the sustainable development of the transportation sector, this study identifies 27 risk factors across five dimensions—human–machine–environment–process–management—through a combination of literature review, construction accident case analyses, and expert interviews. The Decision-Making Trial and Evaluation [...] Read more.
To effectively mitigate risks in highway construction and thereby ensure the sustainable development of the transportation sector, this study identifies 27 risk factors across five dimensions—human–machine–environment–process–management—through a combination of literature review, construction accident case analyses, and expert interviews. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) method, combined with the Maximum Mean Deviation Entropy (MMDE) approach for threshold determination, quantifies centrality and causality of these factors. An Interpretive Structural Modeling (ISM) is employed to construct a multi-level hierarchical framework. The research reveals that highway construction safety risks follow a seven-tier structure: “risk characterization-process assurance-source governance-driven”. Safety education and regulatory systems serve as fundamental drivers, while hazard identification and mitigation, extreme weather response protocols, and equipment compliance form critical safeguard mechanisms. Building on this framework, the study proposes a risk control pathway of “source governance–process interruption–terminal response”, offering practical recommendations for safety management and providing new perspectives for engineering risk assessment and method optimization. Full article
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22 pages, 14323 KB  
Article
Study on the Health Assessment of Rivers and Lakes on the Qinghai Plateau Based on an AHP–TOPSIS Model
by Yongxi Zhang, Shaofeng Jia and Runjie Li
Sustainability 2026, 18(1), 79; https://doi.org/10.3390/su18010079 (registering DOI) - 20 Dec 2025
Viewed by 46
Abstract
Under global environmental change, the health of rivers and lakes on the “Asian Water Tower”—the Qinghai–Tibetan Plateau—is facing mounting pressures. This study examines Qinghai Lake, the Huangshui River, the Golmud River, and the Qinghai reach of the Yangtze River. By integrating the Water [...] Read more.
Under global environmental change, the health of rivers and lakes on the “Asian Water Tower”—the Qinghai–Tibetan Plateau—is facing mounting pressures. This study examines Qinghai Lake, the Huangshui River, the Golmud River, and the Qinghai reach of the Yangtze River. By integrating the Water Quality Index (WQI) with the AHP–TOPSIS framework, we develop a multidimensional assessment system encompassing water resources, water environment, aquatic ecology, and management functions. The WQI results reveal pronounced spatial heterogeneity in water quality, with conditions ranked as Golmud River > Yangtze River > Huangshui River > Qinghai Lake. Dominant controlling factors also shift from dissolved oxygen in riverine systems to total phosphorus in the lake environment. The comprehensive AHP–TOPSIS evaluation further shows a health ranking of Yangtze River (0.736) > Golmud River (0.602) > Qinghai Lake (0.404) > Huangshui River (0.297), leading to the identification of four distinct management pathways: ecological conservation, natural restoration, nutrient control, and pollution remediation. By moving beyond single-parameter diagnostics, this study provides a robust methodological basis for differentiated river–lake management. The proposed “one river (lake), one strategy” framework, coupled with red-line management recommendations grounded in key indicators, offers direct scientific support for systematic protection and precise governance of aquatic ecosystems on the Qinghai–Tibetan Plateau, contributing to national ecological security and high-level environmental stewardship. Full article
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30 pages, 20127 KB  
Article
Enrichment Law and Controlling Factors of CBM in the Xishanyao Formation of the Hedong Mining Area, Urumqi
by Xiang Zhou, Xinyue Wen, Liyuan Wang, Haichao Wang, Xin Li, Shuxun Sang, Shuguang Yang, Yibing Wang, Na Zhang, Peng Lai and Yongyong Feng
Processes 2026, 14(1), 21; https://doi.org/10.3390/pr14010021 - 20 Dec 2025
Viewed by 41
Abstract
The enrichment laws and key controlling factors of coalbed methane (CBM) in the Xishanyao Formation of the Hedong mining area remain unclear, restricting exploration progress. Based on well data and experimental analyses, this study investigates CBM enrichment characteristics and geological controls using genetic [...] Read more.
The enrichment laws and key controlling factors of coalbed methane (CBM) in the Xishanyao Formation of the Hedong mining area remain unclear, restricting exploration progress. Based on well data and experimental analyses, this study investigates CBM enrichment characteristics and geological controls using genetic identification diagrams. Results demonstrate that CBM exhibits a “high in northwest and low in southeast” planar distribution. Vertically, CBM content is extremely low above 360 m due to weathering oxidation and burnt zone effects, increases within the 360–950 m interval (peaking at 750–950 m), and declines from 950 to 1200 m because of limited gas contribution. Genetic analysis indicates predominantly primary biogenic gas, with a minor component of early thermogenic gas. Enrichment is controlled by structure and hydrogeology: the medium-depth range (358–936 m) on the northern syncline limb and western part of the northern monoclinal zone forms a high-efficiency enrichment zone due to compressive stress from reverse faults and high mineralization groundwater (TDS > 8000 mg/L). While the southern limb, characterized by high-angle tensile fractures and active groundwater runoff, suffers gas loss and generally low gas content (<3.5 m3/t). This study clarifies CBM enrichment laws and enrichment mechanisms, supporting exploration of low-rank CBM in the Hedong mining area. Full article
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14 pages, 2427 KB  
Article
Influence of Major Environmental Parameters on Patulin Production by Penicillium expansum OM1 and Its Growth on Apple Puree Agar Media
by Haiyi Yu, Sung-Yong Hong, Ji-Yeon Koo and Ae-Son Om
Toxins 2026, 18(1), 1; https://doi.org/10.3390/toxins18010001 - 19 Dec 2025
Viewed by 103
Abstract
Patulin is a mycotoxin produced mainly by Penicillium expansum on apples. P. expansum is a fruit pathogen that can cause apple soft rot. However, much is unknown about the characteristics of P. expansum and influence of major environmental parameters on its patulin production [...] Read more.
Patulin is a mycotoxin produced mainly by Penicillium expansum on apples. P. expansum is a fruit pathogen that can cause apple soft rot. However, much is unknown about the characteristics of P. expansum and influence of major environmental parameters on its patulin production and growth on apple puree agar media (APAM). In this study, we evaluated the influence of pH, temperature, and relative humidity (RH) on patulin production by P. expansum OM1 and its growth (colony diameter and mycelial dry weight) on APAM after isolation and identification of the patulin-producing fungal strain from an apple. The fungal isolate produced the largest quantity of patulin on APAM under 15 °C, pH 4.0, and RH 98%, while it had the highest growth rates on the same media under 25 °C, pH 4.0–6.0, and RH 98%. Our data demonstrated that three important physicochemical factors (pH, temperature, and RH) substantially influenced the patulin production by the fungal species and its growth on APAM. Moreover, our results revealed that patulin was not detected on APAM at 5 °C after 7 days of incubation and that a trace amount of patulin was produced by the fungal strain along with its slow growth on the same media at 5 °C after 14 days. It suggests that patulin contamination by P. expansum on apples could be controlled during postharvest storage below 5 °C. These findings could provide fundamental knowledge for development of efficient strategies to prevent the occurrence of apples contaminated with patulin produced by P. expansum on them during postharvest storage. Full article
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23 pages, 1232 KB  
Article
Integrating System-Theoretic Process Analysis and System Dynamics for Systemic Risk Analysis in Safety-Critical Systems
by Ahmed Shaban, Ahmed Abdelwahed, Islam H. Afefy, Giulio Di Gravio and Riccardo Patriarca
Infrastructures 2026, 11(1), 3; https://doi.org/10.3390/infrastructures11010003 - 19 Dec 2025
Viewed by 114
Abstract
This paper presents a novel integration of System-Theoretic Process Analysis (STPA) and System Dynamics (SD) for hazard and resilience analysis in safety-critical infrastructure systems. The methodology is applied iteratively to assess the safety and continuity of a hospital’s oxygen supply system, a key [...] Read more.
This paper presents a novel integration of System-Theoretic Process Analysis (STPA) and System Dynamics (SD) for hazard and resilience analysis in safety-critical infrastructure systems. The methodology is applied iteratively to assess the safety and continuity of a hospital’s oxygen supply system, a key element of critical health infrastructure, addressing both technical and managerial factors. STPA identifies unsafe interactions between system components, which are systematically translated into a system dynamics simulation model. This dynamic perspective allows for the exploration of how hazards evolve over time and how control strategies influence overall system resilience. Unlike previous conceptual approaches, this study applies the integrated framework to a real-world incident of oxygen supply failure. The model structure is derived from STPA artifacts and validated using expert input and incident data. Simulation experiments uncovered emergent risk patterns, such as alarm delays, staff stress, and insufficient training, that are not evident through STPA alone. These insights support targeted interventions, including enhanced drill frequency and resource allocation, to strengthen infrastructure resilience. By embedding dynamic simulation within the STPA framework, this research moves beyond static hazard identification to enable scenario-based testing and conditional estimation of system response to support risk-informed decision-making. The resulting methodology is traceable, repeatable, and adaptable, offering a practical and generalizable tool for systemic risk analysis in critical infrastructures. Full article
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19 pages, 9978 KB  
Article
Research on Water Pollution Monitoring and Qualitative Source Identification in a Typical Coastal River Network
by Shuangshuang Ying, Pengcheng Yao, Ziming Wang, Yangyang Luo, Baichang Zhao, Ruoxuan Guan, Min Cao, Mingyu Xuan, Ranyun Xu, Yunfei He, Hangjun Zhang and Jiafeng Ding
Environments 2026, 13(1), 1; https://doi.org/10.3390/environments13010001 - 19 Dec 2025
Viewed by 172
Abstract
This study focuses on a rapidly urbanizing coastal plain where river networks serve as critical pathways for pollutant transport to nearshore waters. Under frequent sluice control and sluggish hydrodynamics, pollutants accumulate in channels and are subsequently flushed during intense rainfall or sluice-opening events, [...] Read more.
This study focuses on a rapidly urbanizing coastal plain where river networks serve as critical pathways for pollutant transport to nearshore waters. Under frequent sluice control and sluggish hydrodynamics, pollutants accumulate in channels and are subsequently flushed during intense rainfall or sluice-opening events, increasing pollutant loads in downstream estuaries. Based on 2017–2024 water quality monitoring data, integrated multi-source environmental factor analysis and unmanned patrol boat technology, systematic water quality assessment and pollution source identification were conducted. Significant spatial heterogeneity was observed: phosphorus and nitrogen pollution dominated in the eastern region, whereas the permanganate index was more prominent in the western part of the network. Identification of abrupt water quality change sections revealed industrial wastewater as the primary contributor to phosphorus and nitrogen, whereas permanganate index pollution originated widely from aquaculture, agriculture, and industrial discharges. Atmospheric deposition likely provides a non-negligible contribution to phosphorus and nitrogen input, with fluxes strongly correlated to rainfall. Sediment release posed internal risks of carbon and phosphorus, with intensity positively linked to pollution levels. This study elucidates the water quality characteristics and multi-source pollution mechanisms in typical coastal river networks under rapid economic development. Therefore, it provides a scientific basis for precise regional water environment management and coastal water quality protection. Full article
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37 pages, 2504 KB  
Review
Molecular Biochemistry and Physiology of Postharvest Chilling Injury in Fruits: Mechanisms and Mitigation
by Hansika Sati, Priyanka Kataria, Sunil Pareek and Daniel Alexandre Neuwald
Agronomy 2025, 15(12), 2914; https://doi.org/10.3390/agronomy15122914 - 18 Dec 2025
Viewed by 175
Abstract
Postharvest chilling injury (PCI) is a significant limitation in the storage of temperature-sensitive fruits, leading to quality deterioration and reduced marketability. However, low temperatures delay senescence—consistent with the Q10 principle, where metabolic reaction rates change 2–3-fold per 10 °C—and chilling-sensitive fruits experience membrane [...] Read more.
Postharvest chilling injury (PCI) is a significant limitation in the storage of temperature-sensitive fruits, leading to quality deterioration and reduced marketability. However, low temperatures delay senescence—consistent with the Q10 principle, where metabolic reaction rates change 2–3-fold per 10 °C—and chilling-sensitive fruits experience membrane destabilization, oxidative imbalances, and structural degradation under cold stress. Physiological assessments consistently report elevated electrolyte leakage, increased malondialdehyde accumulation, and reduced membrane fluidity, coupled with disruptions in respiration and cellular energy metabolism. Biochemically, PCI is characterized by enhanced ROS production and a 20–50% decline in key antioxidant enzymes, along with disturbances in calcium signaling and hormone regulation. At the molecular level, chilling-responsive transcription factors such as CBF, CAM, HSF, and WRKY show strong induction, while lipid remodeling and epigenetic modifications further shape cold adaptation responses. Advances in multi-omics, including transcriptomics, proteomics, metabolomics, lipidomics, and volatilomics, have revealed chilling-associated metabolic shifts and regulatory cascades, enabling the identification of potential biomarkers of tolerance. Emerging mitigation strategies, including physical and chemical treatments, as well as CRISPR-based interventions, have shown a 30–60% reduction in PCI in controlled studies. This review synthesizes recent progress in physiology, molecular biochemistry, and postharvest technology to support future research and practical PCI management. Full article
(This article belongs to the Section Plant-Crop Biology and Biochemistry)
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15 pages, 496 KB  
Article
Asthma Is Associated with Overweight, Obesity and Residential Grey Space in an Italian General Population Sample
by Ilaria Stanisci, Anna Antonietta Angino, Sara Maio, Giuseppe Sarno, Patrizia Silvi, Sofia Tagliaferro, Giovanni Viegi and Sandra Baldacci
Sustainability 2025, 17(24), 11300; https://doi.org/10.3390/su172411300 - 17 Dec 2025
Viewed by 93
Abstract
Background: Overweight and obesity frequently occur as comorbid conditions in people with asthma, particularly among those with poor disease control or more severe clinical profiles. However, the extent to which exposure to grey spaces may influence the link between overweight/obesity and asthma remains [...] Read more.
Background: Overweight and obesity frequently occur as comorbid conditions in people with asthma, particularly among those with poor disease control or more severe clinical profiles. However, the extent to which exposure to grey spaces may influence the link between overweight/obesity and asthma remains insufficiently explored. Aim: To assess the association between overweight/obesity and asthma in an Italian general population sample and the influence of residential grey space on such relationship. Methods: A total of 2841 individuals (54.7% women; age range 8–97 years) residing in Pisa, Italy, were surveyed in 1991–1993 using a standardised questionnaire on health conditions and relevant risk factors. The proportion of grey space within a 1000 m buffer around each participant’s home was quantified using the CORINE Land Cover database. Multinomial logistic regression models were applied to assess the association between asthma status (1. asthma symptoms without doctor diagnosis, 2. diagnosis ± symptoms, 3. no diagnosis/symptoms − reference category) and overweight/obesity, adjusting for sex, age, educational level, smoking, physical activity and grey space exposure. Analyses were further stratified according to high vs. low grey space exposure (above vs. below 63%, corresponding to the second tertile). Mediation and interaction analyses were also performed. Results: The prevalence of asthma diagnosis ± symptoms, overweight and obesity was 18.7%, 35.8% and 12.8%, respectively. In the full sample, asthma symptoms without medical diagnosis were positively associated with overweight (Odds Ratio—OR 1.43; 95% Confidence Interval—CI 1.08–1.88), obesity (OR 1.99; 95% CI 1.38–2.88) and residential grey space (OR 1.06; 95% CI 1.01–1.13). Stratified models showed that, among participants with high exposure to grey areas, asthma symptoms were linked to both overweight (OR 2.03; 95% CI 1.29–3.19) and obesity (OR 2.57; 95% CI 1.36–4.86). In individuals with low grey space exposure, an association was observed only with obesity (OR 1.80; 95% CI 1.15–2.82). Mediation analysis did not reveal any weight-related effect modification. Measures of additive interaction indicated that 32% of asthma symptoms were attributable to the interaction between excess body weight and high grey space exposure. Conclusions: This study showed that overweight/obesity and grey space exposure are factors associated with asthma symptoms. These findings advocate for an early identification of overweight/obese-asthma symptom phenotype since it may help prevent the onset or worsening of asthma, particularly in urban environments. These insights highlight the need for integrated public health and urban planning strategies to promote more sustainable, health-supportive environments. Full article
(This article belongs to the Section Pollution Prevention, Mitigation and Sustainability)
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32 pages, 7211 KB  
Article
Risk Assessment of Roof Water Inrush in Shallow Buried Thick Coal Seam Using FAHP-CV Comprehensive Weighting Method: A Case Study of Guojiawan Coal Mine
by Chao Liu, Xiaoyan Chen, Zekun Li, Jun Hou, Jinjin Tian and Dongjing Xu
Water 2025, 17(24), 3571; https://doi.org/10.3390/w17243571 - 16 Dec 2025
Viewed by 138
Abstract
Roof water inrush is a major hazard threatening coal mine safety. This paper addresses the risk of roof water inrush during mining in the shallow-buried Jurassic coalfield of Northern Shaanxi, taking the Guojiawan Coal Mine as a case study. A systematic framework of [...] Read more.
Roof water inrush is a major hazard threatening coal mine safety. This paper addresses the risk of roof water inrush during mining in the shallow-buried Jurassic coalfield of Northern Shaanxi, taking the Guojiawan Coal Mine as a case study. A systematic framework of “identification of main controlling factors–coupling of subjective and objective weighting–GIS-based spatial evaluation” is proposed. An integrated weighting system combining the Fuzzy Analytic Hierarchy Process (FAHP) and the Coefficient of Variation (CV) method is innovatively adopted. Four weight optimization models, including Linear Weighted Method, Multiplicative Synthesis Normalization Method, Minimum Information Entropy Method, and Game Theory Method, are introduced to evaluate 10 main controlling factors, including the fault strength index and sand–mud ratio. The results indicate that the GIS-based vulnerability evaluation model using the Multiplicative Synthesis Normalization Method achieves the highest accuracy, with a Spearman correlation coefficient of 0.9961. This model effectively enables five-level risk zoning and accurately identifies high-risk areas. The evaluation system and zoning results developed in this paper can provide a direct scientific basis for the design of water prevention engineering and precise countermeasures in the Guojiawan Coal Mine and other mining areas with similar geological conditions. Full article
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29 pages, 12360 KB  
Article
Vision-Guided Dynamic Risk Assessment for Long-Span PC Continuous Rigid-Frame Bridge Construction Through DEMATEL–ISM–DBN Modelling
by Linlin Zhao, Qingfei Gao, Yidian Dong, Yajun Hou, Liangbo Sun and Wei Wang
Buildings 2025, 15(24), 4543; https://doi.org/10.3390/buildings15244543 - 16 Dec 2025
Viewed by 174
Abstract
In response to the challenges posed by the complex evolution of risks and the static nature of traditional assessment methods during the construction of long-span prestressed concrete (PC) continuous rigid-frame bridges, this study proposes a risk assessment framework that integrates visual perception with [...] Read more.
In response to the challenges posed by the complex evolution of risks and the static nature of traditional assessment methods during the construction of long-span prestressed concrete (PC) continuous rigid-frame bridges, this study proposes a risk assessment framework that integrates visual perception with dynamic probabilistic reasoning. By combining an improved YOLOv8 model with the Decision-making Trial and Evaluation Laboratory–InterpretiveStructure Modeling (DEMATEL–ISM) algorithm, the framework achieves intelligent identification of risk elements and causal structure modelling. On this basis, a dynamic Bayesian network (DBN) is constructed, incorporating a sliding window and forgetting factor mechanism to enable adaptive updating of conditional probability tables. Using the Tongshun River Bridge as a case study, at the identification layer, we refine onsite targets into 14 risk elements (F1–F14). For visualization, these are aggregated into four categories—“Bridge, Person, Machine, Environment”—to enhance readability. In the methodology layer, leveraging causal a priori information provided by DEMATEL–ISM, risk elements are mapped to scenario probabilities, enabling scenario-level risk assessment and grading. This establishes a traceable closed-loop process from “elements” to “scenarios.” The results demonstrate that the proposed approach effectively identifies key risk chains within the “human–machine–environment–bridge” system, revealing phase-specific peaks in human-related risks and cumulative increases in structural and environmental risks. The particle filter and Monte Carlo prediction outputs generate short-term risk evolution curves with confidence intervals, facilitating the quantitative classification of risk levels. Overall, this vision-guided dynamic risk assessment method significantly enhances the real-time responsiveness, interpretability, and foresight of bridge construction safety management and provides a promising pathway for proactive risk control in complex engineering environments. Full article
(This article belongs to the Special Issue Big Data and Machine/Deep Learning in Construction)
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11 pages, 392 KB  
Communication
Does Podoplanin (PDPN) Reflect the Involvement of the Immunological System in Coronary Artery Disease Risk? A Single-Center Prospective Analysis
by Tomasz Urbanowicz, Joanna Rupa-Matysek, Ewelina Wojtasińska, Beata Krasińska, Maciej Zieliński, Malwina Grobelna, Paweł Zawadzki, Ryszard Staniszewski, Zbigniew Krasiński, Elżbieta Paszyńska and Andrzej Tykarski
Int. J. Mol. Sci. 2025, 26(24), 12051; https://doi.org/10.3390/ijms262412051 - 15 Dec 2025
Viewed by 102
Abstract
Coronary artery disease remains a significant global health challenge, driven by a multifactorial pathophysiology, including immunological activation. The identification and management of potential risk factors are crucial for improving prevention opportunities. In this study, the role of novel, innate immune system response markers, [...] Read more.
Coronary artery disease remains a significant global health challenge, driven by a multifactorial pathophysiology, including immunological activation. The identification and management of potential risk factors are crucial for improving prevention opportunities. In this study, the role of novel, innate immune system response markers, such as podoplanin 38, in atherosclerosis was investigated. A total of 150 consecutive patients (87 (58%) male; median age of 68 (61–76) years) with chronic coronary symptoms (anginal equivalent, e.g., exertional dyspnea) who underwent clinical evaluation and de novo coronary angiography for a prospective single-center analysis were included. Demographic and clinical data, combined with echocardiographic and coronary angiography results, were analyzed in conjunction with laboratory results from admission, including serum podoplanin (PDPN) concentrations. Serum PDPN concentrations were significantly lower in the coronary artery disease group (238 (174–360) pg/mL) compared to the control group (428 (207–1381) pg/mL, p = 0.002). A negative correlation was observed between PDPN and the number of involved coronary arteries in the atherosclerotic process (R = −0.27, p < 0.01). In diabetic populations, glycemic hemoglobin (Hb1Ac) is correlated with the podoplanin concentration (r = −0.51, p = 0.001). A correlation between PDPN and the left ventricular ejection fraction was noted in both the control (r = 0.33, p < 0.01) and CAD groups (r = 0.37, p < 0.001). Podoplanin (PDPN) can be considered a novel marker for coronary atherosclerosis. Low serum podoplanin concentrations characterized patients with coronary artery disease. Full article
(This article belongs to the Special Issue Cardioimmunology: Inflammation and Immunity in Cardiovascular Disease)
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19 pages, 5149 KB  
Article
Priority Control of Agricultural and Traffic Sources of Soil Heavy Metals: An Integrated Source-Oriented Risk Assessment in the Drawdown Zone of the Danjiangkou Reservoir
by Houkuan Ding, Dahai Zeng, Yunni Gao, Xucong Lyu, Jialin Jin, Huatao Yuan, Jingxiao Zhang, Jing Dong, Xiaofei Gao, Penghui Zhu, Xuejun Li and Michele Burford
Toxics 2025, 13(12), 1073; https://doi.org/10.3390/toxics13121073 - 13 Dec 2025
Viewed by 236
Abstract
In recent years, the public environmental protection consciousness has improved regarding the source of drinking water. However, the risk status and sources of heavy metals (HMs) in the soil around drinking water sources remain unclear. The typical Drawdown Zone (DZ) of Danjiangkou Reservoir [...] Read more.
In recent years, the public environmental protection consciousness has improved regarding the source of drinking water. However, the risk status and sources of heavy metals (HMs) in the soil around drinking water sources remain unclear. The typical Drawdown Zone (DZ) of Danjiangkou Reservoir is taken as an example in this study. Pollution levels of HMs and associated ecological and human health risks were evaluated under four land-use types during the low-water-level period. The sources of 10 HMs were determined using the positive matrix factorization (PMF) model and correlation analysis. Quantitative source-oriented risk identification was then conducted by integrating risk characteristics with source apportionment. The results indicate that soils in the study area are generally slightly polluted, with comprehensive potential ecological risks at a medium level. Farmland soils exhibit the highest pollution and ecological risk levels, particularly for Hg and Cd. Our Monte Carlo simulation-based human health risk assessment shows that, compared with non-carcinogenic risks, carcinogenic risks should be given further attention. Farmland poses higher health risks than other land-use types, and children are more vulnerable than adults. Four main sources were identified: transportation sources (29.5%), agricultural activities (32%), natural sources (19.3%), and atmospheric deposition (19.2%). The source-oriented risk assessment indicates that agricultural activities are the priority control source for ecological risks (64.7%), with Hg as the primary control element. Transportation and agricultural sources are the primary contributors to carcinogenic risks in children (57.1%) and adults (57.1%), with Ni as the primary control element. Full article
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Article
Clinical Characteristics and Early Evolution of Neonates with Perinatal Gram-Negative Bacterial Infections
by Mihaela Zaharie, Aniko Maria Manea, Marioara Boia, Oana Costescu, Daniela Cioboata, Timea Brandibur and Daniela Iacob
Children 2025, 12(12), 1692; https://doi.org/10.3390/children12121692 - 13 Dec 2025
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Abstract
Background/Objectives: Perinatal infections caused by Gram-negative bacteria pose a significant risk to neonatal health, especially in low-resource settings. These infections often lead to severe complications due to diagnostic and therapeutic challenges. This study aimed to clinical characterize, early outcomes, and risk factors [...] Read more.
Background/Objectives: Perinatal infections caused by Gram-negative bacteria pose a significant risk to neonatal health, especially in low-resource settings. These infections often lead to severe complications due to diagnostic and therapeutic challenges. This study aimed to clinical characterize, early outcomes, and risk factors associated with Gram-negative infections in neonates admitted to the tertiary neonatal intensive care unit (NICU) at “Louis Turcanu” Children’s Hospital, Timisoara. Methods: A retrospective, case–control study was conducted at a tertiary neonatal care unit in Timișoara, Romania, including neonates with microbiologically confirmed Gram-negative infections (n = 44) and a matched control group without infection (n = 47). Clinical, laboratory, and microbiological data were analyzed. Statistical comparisons and logistic regression analyses were used to evaluate risk factors and outcomes. Results: Male sex (79.5% in infected vs. 57.4% in controls; p = 0.0418) and vaginal delivery (43.2% vs. 17.0%; p = 0.00001) were significantly associated with infection. Respiratory distress (72.7%) and digestive symptoms (75.0%) were common in infected neonates. C-reactive protein and procalcitonin levels were markedly elevated in infected infants. Escherichia coli was the most common pathogen, with multidrug-resistant strains observed in bloodstream infections. Mechanical ventilation was required in 75% of infected neonates compared with 16.2% in controls (p < 0.0001). Mortality was higher among infected neonates (25% vs. 4.3% in the control group), although not statistically significant. Conclusions: Gram-negative perinatal infections are associated with considerable morbidity, particularly in male neonates and those delivered vaginally. Early identification, antimicrobial stewardship, and intensive respiratory support are essential to improving outcomes in this vulnerable population. Full article
(This article belongs to the Section Pediatric Neonatology)
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