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26 pages, 1388 KB  
Article
Spatial Heterogeneity and Responses of Wildfire Drivers Across Diverse Climatic Regions in China
by Xiaoxiao Feng, Huiran Wang, Zhiqi Zhang, Shenggu Yuan, Ruofan Jiang and Chaoya Dang
Remote Sens. 2026, 18(7), 1007; https://doi.org/10.3390/rs18071007 - 27 Mar 2026
Abstract
Wildfires are a major natural hazard causing extensive ecological damage and endangering human survival. Previous studies on wildfires in China have mostly focused on specific regions or individual drivers, with limited systematic assessments at the long-term and national scales. The spatiotemporal patterns of [...] Read more.
Wildfires are a major natural hazard causing extensive ecological damage and endangering human survival. Previous studies on wildfires in China have mostly focused on specific regions or individual drivers, with limited systematic assessments at the long-term and national scales. The spatiotemporal patterns of wildfires and their multiple driving mechanisms under China’s diverse climatic regimes remain insufficiently understood. To bridge this gap, we combined MCD64A1 burned area data (2001–2023) with multi-source natural (meteorological, vegetation, and topographic) and anthropogenic factors, using random forest models at both the national and regional scales to examine the spatiotemporal patterns, dominant drivers, and response mechanisms of wildfires in China. The results revealed that: (1) Spatially, wildfires were concentrated in northeastern and southern China, which accounted for 86.20% of the total burned area. Temporally, northern wildfires were primarily a spring-dominated fire regime, with peak activity in March and April, whereas southern wildfires were winter-dominated, peaking in February. (2) At the national scale, elevation was the key topographic factor influencing wildfire occurrence (relative importance = 0.49), with low-elevation and gentle-slope areas being more fire-prone. At the regional scale, the driving factors exhibit spatial differentiation, forming a spatial pattern of topography-dominated and climate-dominated. (3) Partial dependence plot analysis revealed nonlinear and threshold responses. Fire probability increases rapidly when the soil moisture is below 20 mm, while extremely high land surface temperatures in arid regions suppress fire occurrence due to fuel limitations. This study enhances the understanding of spatially heterogeneous wildfire drivers in China and provides a scientific basis for region-specific wildfire prevention and management strategies. Full article
18 pages, 1721 KB  
Review
The Complement System in the Setting of Critical Illness—A Narrative Review
by Kleio Ampelakiotou, Ioanna Nikitopoulou, Stelios Kokkoris, Anastasia Kotanidou, Ioanna Dimopoulou and Maria G. Detsika
Biomolecules 2026, 16(4), 505; https://doi.org/10.3390/biom16040505 - 27 Mar 2026
Abstract
The complement system is a key component of innate immunity, known primarily as an immune surveillance mechanism. However, it is also widely known as a modulator of immune responses and inflammation, and its activation has been reported in a wide array of conditions [...] Read more.
The complement system is a key component of innate immunity, known primarily as an immune surveillance mechanism. However, it is also widely known as a modulator of immune responses and inflammation, and its activation has been reported in a wide array of conditions that can lead to admission to the intensive care unit (ICU). Furthermore, various ICU monitoring practices and treatment interventions of the ICU needed to sustain vital organ function may disrupt complement homeostasis. In this review, we will describe in detail the role of the complement system in various critical care settings, with emphasis on major ICU-related conditions such as bacterial and viral sepsis, trauma and burn. Additionally, we will address the potential value of this complex cascade as a prognosis tool and the possible implications for clinical practice as well as its potential as a target for future innovative therapeutic strategies. Full article
(This article belongs to the Collection Feature Papers in Section 'Molecular Medicine')
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21 pages, 1912 KB  
Article
Porous Activated Carbons from Olive Stone-Derived Biochar and Hydrochar: Production, Characterization and Application for Amoxicillin Removal
by Ahmed Bourafa, Meriem Belhachemi, Emna Berrich Kilani, Salah Jellali and Mejdi Jeguirim
Processes 2026, 14(7), 1064; https://doi.org/10.3390/pr14071064 - 26 Mar 2026
Abstract
The sustainable management of olive wastes represents an important environmental challenge. Biochars and hydrochars derived from biomass are promising adsorbents for removing emerging pollutants from water. In the present work, olive stone wastes were converted into biochar and hydrochar by using pyrolysis (500 [...] Read more.
The sustainable management of olive wastes represents an important environmental challenge. Biochars and hydrochars derived from biomass are promising adsorbents for removing emerging pollutants from water. In the present work, olive stone wastes were converted into biochar and hydrochar by using pyrolysis (500 °C for 30 min) and hydrothermal carbonization (HTC) processes (220 °C for 10 h). Then, the obtained materials were physically activated by using CO2 gas (750 °C for 30, 60 and 180 min). Various analytical techniques were applied for the chemical, textural and structural characterization of these carbonaceous materials (i.e., ultimate and proximate analysis, scanning electron microscopy (SEM), BET surface area, Raman spectroscopy, X-ray diffraction, and Fourier transform infrared spectroscopy). Afterwards, the selected activated biochar and hydrochar were applied for the removal of amoxicillin from aqueous solutions. The experimental results show that the generated hydrochar has many microspheres on its surface and inside, while the produced biochar exhibits a porous structure with irregular forms. CO2 physical activation has induced an important improvement of the biochar and hydrochar’s structural, textural, and surface chemistry properties. For instance, the activated biochar samples show a highly porous structure, with large specific surface areas that increase with the burn-off, reaching 1349.3 m2 g−1 following 3 h of activation. Regarding the activated hydrochar samples, they exhibit a spherical morphological structure with an important specific surface area, which increased to 846.7 m2 g−1 after 3 h of activation. Moreover, both activated materials have an amorphous structure with low oxygen surface groups. The selected novel CO2-activated biochar and hydrochar efficiently remove amoxicillin from aqueous solutions under wide experimental conditions, with adsorption capacities of 386.4 and 215.9 mg g−1, respectively. These efficiencies are higher than those reported for various activated biochars derived from lignocellulosic biomass, from sewage sludge, and from animal manure. Future research works are required to assess these materials’ effectiveness in treating real pharmaceutical effluents, to optimize the regeneration of the amoxicillin-loaded materials, and to design full-scale devices for a real application. Full article
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19 pages, 715 KB  
Article
Comparative Evaluation of Hanging Objects as Environmental Enrichment Tools on Broiler Behavior, Welfare, Growth, Serum Chemistry, and Meat Quality Traits
by Taslim Amin, Sobia Alyas, Muhammad Usman, Muhammad Abbas Khan, Tarek Amin Ebeid, Muhammad Waqas, Muhammad Muneeb, Mudassir Ahmad, Ali R. Al Sulaiman, Sohail Ahmad and Ala E. Abudabos
Vet. Sci. 2026, 13(4), 321; https://doi.org/10.3390/vetsci13040321 - 26 Mar 2026
Abstract
This study evaluated the effects of different environmental enrichment tools on broiler chickens from 1 to 21 days of age. A total of 120,000 one-day-old broiler chicks were randomly assigned to five treatments, each consisting of four replicates with 6000 birds per replicate. [...] Read more.
This study evaluated the effects of different environmental enrichment tools on broiler chickens from 1 to 21 days of age. A total of 120,000 one-day-old broiler chicks were randomly assigned to five treatments, each consisting of four replicates with 6000 birds per replicate. Replicates were housed in pens measuring approximately 362 m2. The treatments included: T1, green balls (approximately 40 balls per pen); T2, hanging toys (8–10 toys per pen); T3, hanging strings (8–10 string bundles per pen); T4, rotational use of green balls, hanging toys, and strings at equivalent densities; and T5, a control group without enrichment. Data were collected on growth performance, foot health, behavioral activity, serum biochemical parameters, and carcass and meat quality traits. Birds provided with hanging enrichment tools showed significantly improved growth performance (p ≤ 0.05) compared with the control group. Among enriched treatments, T2 yielded the highest body weight and weight gain, as well as the lowest feed conversion ratio. Enrichment treatments also resulted in significant improvements (p ≤ 0.05) in carcass characteristics and selected meat quality parameters, including lightness (L*) and pH stability. Behavioral observations indicated substantially higher activity levels in enriched groups relative to the control. Toe damage scores differed significantly among treatments (p = 0.004), with the lowest scores observed in T1 and the highest in T4; however, no significant differences were detected in footpad dermatitis or hock burn scores (p > 0.05). In conclusion, hanging environmental enrichment tools, particularly hanging toys, can effectively enhance growth performance, behavioral activity, and selected carcass and meat quality traits in broiler production systems, while their effects on footpad health appear limited under the conditions of this study. Full article
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15 pages, 2324 KB  
Article
The Association of Rose Bengal with Macrophage Polarization and Oxidative Stress Response in Full-Thickness Excisional and Grafted Burn Wounds: A Porcine In Vivo Study
by Julia Kleinhapl, Juquan Song, Ye Wang, Kan Nakamoto, Gabor Toro, Isabelle Bergman, Ludwik K. Branski, Steven E. Wolf and Amina El Ayadi
Medicina 2026, 62(4), 629; https://doi.org/10.3390/medicina62040629 - 26 Mar 2026
Viewed by 70
Abstract
Background and Objectives: Burn wounds are associated with delayed healing, infection, and pathological scarring. Effective repair requires tightly regulated immune and oxidative stress responses, including macrophage polarization. This study evaluated the association of the photosensitizer Rose Bengal, delivered in a hydrogel vehicle, [...] Read more.
Background and Objectives: Burn wounds are associated with delayed healing, infection, and pathological scarring. Effective repair requires tightly regulated immune and oxidative stress responses, including macrophage polarization. This study evaluated the association of the photosensitizer Rose Bengal, delivered in a hydrogel vehicle, with macrophage polarization and oxidative stress after burn injury. Materials and Methods: Three female red Duroc pigs underwent full-thickness contact burns followed by excision and autografting. Wounds received 20% Pluronic F-127 hydrogel containing 0.1% Rose Bengal sodium, hydrogel alone, or PBS (phosphate-buffered saline) on days 1, 7, and 14 post-burn. Biopsies from days 7 and 120 were analyzed by immunohistochemistry for pan-macrophage marker, CD206 (M2 macrophages), CD3E (T-cell infiltration), and 4-hydroxynonenal (4-HNE; oxidative stress marker). Mean fluorescence intensity was analyzed using two-way ANOVA with Tukey’s post hoc test (mean ± SD, p < 0.05). Results: At day 120, Rose Bengal treatment showed higher pan-macrophage expression (0.80 ± 0.07) compared with PBS (0.62 ± 0.10; p = 0.0034), whereas the difference versus hydrogel (0.68 ± 0.07; p = 0.0628) was not significant. CD206 expression was similarly higher in Rose Bengal-treated wounds (0.77 ± 0.06) compared with PBS (0.62 ± 0.05; p = 0.0277); hydrogel also differed from PBS (p = 0.0287), without a difference between hydrogel and Rose Bengal. For CD3E, a significant main effect of treatment was observed (F(2,12) = 8.346, p = 0.0054), with lower values in Rose Bengal versus PBS at day 120 (p = 0.0360). No differences in 4-HNE were detected. Conclusions: Rose Bengal–hydrogel treatment was associated with increased macrophage presence and enhanced M2 polarization without increased T-cell infiltration. Effects were significant versus PBS but not hydrogel, suggesting Rose Bengal may contribute to a pro-regenerative immune microenvironment without excessive adaptive activation. Full article
(This article belongs to the Section Surgery)
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18 pages, 1702 KB  
Article
Valorization of Pistacia lentiscus L. Hydrodistillation By-Products: Phytochemical Profile and Multitarget Anti-Aging Activity of an Aqueous Extract
by Antonella Fais, Francesca Pintus, Benedetta Era, Sonia Floris, Giulia Urru, Enrico Sanjust, Emma Cocco, Andrea Maxia, Valentina Masala and Carlo Ignazio Giovanni Tuberoso
Plants 2026, 15(7), 1013; https://doi.org/10.3390/plants15071013 - 26 Mar 2026
Viewed by 77
Abstract
Pistacia lentiscus L. is widely reported in the ethnobotanical literature for its use in treating various pathologies, particularly skin disorders such as burns, inflammation, and wounds. These traditional applications suggest broader potential anti-aging activity and support the exploration of simple and sustainable extraction [...] Read more.
Pistacia lentiscus L. is widely reported in the ethnobotanical literature for its use in treating various pathologies, particularly skin disorders such as burns, inflammation, and wounds. These traditional applications suggest broader potential anti-aging activity and support the exploration of simple and sustainable extraction strategies. In this study, an aqueous extract obtained from leaf hydrodistillation residues, representing a by-product of essential oil production, was chemically characterized by LC-ESI-QToF-MS/MS and HPLC-PDA. The analysis identified 32 compounds, including 8 gallic acid derivatives, accounting for 70.7% of the total extract, and 24 flavonol glycosides. High total phenolic and flavonoid contents were associated with strong antioxidant activity, confirmed by the ABTS assay and by a dose-dependent intracellular ROS reduction in keratinocytes. The extract exhibited significant inhibitory activities against key skin-aging-related enzymes, with IC50 of 33.8 µg/mL and 17.4 µg/mL, respectively for tyrosinase and elastase. Notably, strong anti-hyaluronidase activity, IC50 4.3 µg/mL, is reported here for the first time, while no collagenase inhibition was observed. The cytotoxicity assay demonstrated a favorable safety profile at biologically active concentrations. Overall, these results highlight the bioactivity of the P. lentiscus phenolic phytocomplex and support the valorization of hydrodistillation aqueous residues as a sustainable source of multifunctional bioactive compounds for dermocosmetic applications. Full article
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12 pages, 7795 KB  
Article
AI-Based Modeling of Post-Fire Evapotranspiration Using Vegetation Recovery Indicators: Application to the 2022 Chongqing Burned Areas
by Ziyan Zhao and Rongfei Zhang
Forests 2026, 17(4), 410; https://doi.org/10.3390/f17040410 - 25 Mar 2026
Viewed by 170
Abstract
The 2022 Chongqing wildfires, occurring during an unprecedented heatwave, severely degraded subtropical forest ecosystems and disrupted hydrological cycling. We developed an integrated artificial intelligence framework combining Long Short-Term Memory and Transformer architectures to simulate post-fire evapotranspiration (ET) dynamics using 37 months of field [...] Read more.
The 2022 Chongqing wildfires, occurring during an unprecedented heatwave, severely degraded subtropical forest ecosystems and disrupted hydrological cycling. We developed an integrated artificial intelligence framework combining Long Short-Term Memory and Transformer architectures to simulate post-fire evapotranspiration (ET) dynamics using 37 months of field observations (2022–2025) across 24 plots with four burn severities. The Penman–Monteith–Leuning model provided physically based benchmarks. Results revealed three distinct recovery phases: destruction/stagnation (0–7 months, ET at 6%–10% of pre-fire levels), rapid recovery (8–19 months), and stabilization (20–37 months, reaching 100% ET recovery). The coupled LSTM–Transformer ensemble achieved superior performance (RMSE = 0.10 mm·day−1, NSE = 0.98), outperforming single models by 31% in uncertainty reduction. SHAP analysis identified phase-dependent factor shifts: soil water content dominated Stage I (42.5%), while leaf area index (LAI) controlled Stages II–III (>48%). A bimodal LAI time-lag effect emerged: 4–7 days (leaf water potential equilibrium, 27.7% contribution) and 8–14 days (root uptake compensation, 21.7%). Burn severity significantly extended time-lags (severe burns: 12/21 days vs. unburned: 5/12 days), indicating hydraulic system reconstruction requirements. Despite equivalent LAI recovery, severe burns maintained 12%–15% ET reduction, suggesting lasting hydraulic limitations. This study demonstrates that physics-constrained AI models effectively capture complex post-fire ecohydrological dynamics while providing mechanistic interpretability, advancing understanding of vegetation–water coupling reconstruction under increasing fire frequency. Full article
(This article belongs to the Special Issue Hydrological Modeling with AI in Forests)
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16 pages, 2890 KB  
Article
Occurrence of Organic Contaminants and Microbial Community Structure in River Sediments and Mollusks from an E-Waste Recycling Area in Southeast China
by Lingxi Zhan, Chaofeng Shen, Fei Li, Feng Zhang, Xia Ma, Chao Wu, Xin Xu, Jiang Zhang and Xiaodan Yang
Water 2026, 18(7), 773; https://doi.org/10.3390/w18070773 - 25 Mar 2026
Viewed by 198
Abstract
This study investigated the characteristics and interrelationships of polycyclic aromatic hydrocarbons (PAHs), phthalate esters (PAEs), and microbial communities in coastal river sediments and benthic mollusks collected from an e-waste recycling area in Taizhou, Zhejiang Province. In sediments, 16 PAHs and six PAEs were [...] Read more.
This study investigated the characteristics and interrelationships of polycyclic aromatic hydrocarbons (PAHs), phthalate esters (PAEs), and microbial communities in coastal river sediments and benthic mollusks collected from an e-waste recycling area in Taizhou, Zhejiang Province. In sediments, 16 PAHs and six PAEs were detected, with concentrations ranging from 2.66 to 379.99 μg/kg and 76.5 to 3426.57 μg/kg, respectively. Four-ring PAHs (particularly fluoranthene and pyrene) and Bis(2-ethylhexyl) phthalate (DEHP) were dominant, with DEHP posing a potential risk, especially at site 10, warranting further attention. In contrast, only eight PAHs and four PAEs were detected in mollusks, with concentrations of 60.14–523.10 μg/kg and 144.55–3005.71 μg/kg, respectively. Two-ring PAHs (particularly naphthalene) and Dibutyl phthalate (DBP) were dominant, likely derived directly from the overlying water. The PAHs in sediments primarily originated from fossil fuel combustion, biomass burning, and coal combustion, while PAEs were likely derived from the release of plastic waste from solid waste recycling. Lower concentrations and fewer PAH and PAE species were observed in the sediments near the ocean and at greater distances from the e-waste recycling sites. Significant differences were observed in microbial communities between sediment and mollusk samples. Dominant phyla shared by both sample types include proteobacteria, bacteroidetes, firmicutes, and acidobacteria. The concentration of low-ring PAHs was correlated with the microbial communities, particularly in mollusk samples. Relationships were also identified between microbial communities and DEHP concentrations in sediments or DBP concentrations in mollusks. Full article
(This article belongs to the Special Issue Fate and Transport of Contaminants in Soil and Water)
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20 pages, 2556 KB  
Article
Variability of Properties of Wood Biomass Combustion Waste During the Heating Season in the Context of Their Environmental Use
by Elżbieta Rolka, Anna Skorwider-Namiotko and Radosław Szostek
Materials 2026, 19(7), 1295; https://doi.org/10.3390/ma19071295 - 25 Mar 2026
Viewed by 214
Abstract
The use of wood chips in the heating sector leads to the generation of combustion waste with variable properties, which poses challenges for their rational management. To determine the variability of combustion waste, samples were collected over a 13-week period during the heating [...] Read more.
The use of wood chips in the heating sector leads to the generation of combustion waste with variable properties, which poses challenges for their rational management. To determine the variability of combustion waste, samples were collected over a 13-week period during the heating season, as weekly aggregate samples from a biomass bioheating plant burning wood chips. Three waste fractions were obtained for analysis: residue from the grate (B1), dust from the dust collector (B2), and boiler dust (B3). Dry matter (DM), reaction (pHKCl), electrolytic conductivity (EC), content of total carbon (TC), total nitrogen (TN), macronutrients (P, K, Mg, Ca, Na), and heavy metals (Fe, Mn, Zn, Cu, Pb, Cd, Cr, Co, Ni) were determined in the collected samples. All waste fractions were characterized by an alkaline reaction. Regardless of the waste fraction, the macronutrient content was dominated by Ca, K, and Mg, with significantly lower levels of P and Na. Among heavy metals, Fe, Mn, and Zn had the highest recorded contents, and the lowest by far was Cd. With respect to sampling dates, the least diversified chemical composition was observed for B1 samples, more diversified for B2, and the most diversified for B3. In turn, regardless of the waste fraction, the most diversified results were observed for Cd and Pb, and the least for pH, DM, and TC. Concerning environmental management of combustion waste, fraction B1 deserves attention, as it was characterized by the richest chemical composition (TN, P, K, Mg, Ca, Na, Mn, Zn, Cu, Co, Ni). However, due to the highest content of undesirable heavy metals (Pb, Cd) and the highest salinity, it requires constant monitoring of the composition. Full article
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20 pages, 2636 KB  
Article
Inferring Wildfire Ignition Causes in Spain Using Machine Learning and Explainable AI
by Clara Ochoa, Magí Franquesa, Marcos Rodrigues and Emilio Chuvieco
Fire 2026, 9(4), 138; https://doi.org/10.3390/fire9040138 - 24 Mar 2026
Viewed by 206
Abstract
A substantial proportion of wildfires in Mediterranean regions continue to be recorded without information about the cause or source of ignition, limiting our ability to understand ignition drivers and design effective prevention strategies. In this study, we develop a spatially harmonised wildfire database [...] Read more.
A substantial proportion of wildfires in Mediterranean regions continue to be recorded without information about the cause or source of ignition, limiting our ability to understand ignition drivers and design effective prevention strategies. In this study, we develop a spatially harmonised wildfire database for mainland Spain by integrating ignition records from the Spanish General Fire Statistics (EGIF) with fire perimeters generated from satellite images. We then apply a Random Forest classifier to infer ignition causes for events lacking cause attribution. To interpret model behaviour, we use Shapley Additive Explanation (SHAP) values at both global and local scales. Results indicate that human-caused ignitions are dominant, with intentional and negligence-related fires accounting for 52.13% of all known events, although they are associated with contrasting climatic and land-use settings. Negligence-related fires tend to occur under hot, dry and windy conditions, often in agricultural interfaces, whereas intentional fires are more frequent under cooler and wetter conditions and in areas with higher population density and land-use change. Lightning-caused fires represent a small fraction of total ignitions (3%) but exhibit a distinct climatic signature, occurring primarily in sparsely populated areas, under intermediate moisture conditions, and often leading to larger burned areas. Despite strong overall model performance (F1-score = 0.82), minority classes (e.g., lightning and fire rekindling, 0.17%) remain challenging to classify, reflecting both data imbalance and uncertainty in causal attribution. Overall, the combined use of machine learning and explainable AI provides a coherent spatial characterisation of wildfire ignition drivers across mainland Spain, highlights systematic differences among ignition causes, and identifies key limitations in existing fire cause records. This framework represents a practical step towards improving fire cause information by integrating remote sensing products with field-based fire reports, thereby supporting more targeted and evidence-based fire risk management. Full article
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25 pages, 10489 KB  
Article
An Unsupervised Machine Learning-Based Approach for Combining Sentinel 1 and 2 to Assess the Severity of Fires over Large Areas Using a Google Earth Engine
by Ciro Giuseppe Riccardi, Nicodemo Abate and Rosa Lasaponara
Remote Sens. 2026, 18(6), 956; https://doi.org/10.3390/rs18060956 - 23 Mar 2026
Viewed by 338
Abstract
Wildfires represent a significant global environmental challenge, necessitating advanced monitoring and assessment techniques. This study explores the integration of Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 optical data within a Google Earth Engine (GEE) framework to enhance wildfire detection, burned area estimation, and [...] Read more.
Wildfires represent a significant global environmental challenge, necessitating advanced monitoring and assessment techniques. This study explores the integration of Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 optical data within a Google Earth Engine (GEE) framework to enhance wildfire detection, burned area estimation, and severity assessment. By leveraging SAR’s capability to penetrate atmospheric obstructions and optical data’s spectral sensitivity to vegetation changes, the proposed methodology addresses limitations of single-sensor approaches. The results demonstrate strong correlations between SAR-based indices, such as the Radar Vegetation Index (RVI) and Dual-Polarized SAR Vegetation Index (DPSVI), and traditional optical indices, including the Normalized Burn Ratio (NBR) and differenced NBR (ΔNBR). Despite challenges related to terrain influence, sensor resolution differences, and computational demands, the integration of multi-sensor data in a cloud-based environment offers a scalable and efficient solution for wildfire monitoring. During the peak of the fire events, significant atmospheric obstruction was technically verified using Sentinel-2 metadata and the QA60 cloud mask band, which confirmed persistent cloud cover and thick smoke plumes over the study areas. This interference limited the reliability of purely optical monitoring, further justifying the integration of SAR data. Future research should focus on refining data fusion techniques, incorporating additional datasets such as thermal infrared imagery and meteorological variables, and enhancing automation through artificial intelligence (AI). This study underscores the potential of remote sensing advancements in improving fire management strategies and global wildfire mitigation efforts. Full article
(This article belongs to the Special Issue Advances in Remote Sensing for Burned Area Mapping)
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17 pages, 896 KB  
Systematic Review
Histopathological Changes Following Bromelain-Based Enzymatic Debridement (NexoBrid®): A Comprehensive Systematic Review of Preclinical and Clinical Evidence
by Stefana Avadanei-Luca, Dan-Cristian Moraru, Andra-Irina Bulgaru-Iliescu, Raluca Tatar, Iulia Nacea, Alexandru Hristo Amarandei, Mihai-Codrin Constantinescu and Mihaela Pertea
Med. Sci. 2026, 14(1), 157; https://doi.org/10.3390/medsci14010157 - 23 Mar 2026
Viewed by 117
Abstract
Background: NexoBrid® (NXB; MediWound Ltd., Yavne, Israel) (anacaulase-bcdb) is a bromelain-based enzymatic debriding agent approved for eschar removal in burn care. Despite widespread clinical use, histological evidence of tissue-level changes after enzymatic debridement remains limited. This systematic review aimed to evaluate [...] Read more.
Background: NexoBrid® (NXB; MediWound Ltd., Yavne, Israel) (anacaulase-bcdb) is a bromelain-based enzymatic debriding agent approved for eschar removal in burn care. Despite widespread clinical use, histological evidence of tissue-level changes after enzymatic debridement remains limited. This systematic review aimed to evaluate preclinical and clinical studies describing histological findings following bromelain-based enzymatic debridement of thermal burns. Methods: Following PRISMA 2020 guidelines, we performed parallel systematic searches of preclinical (animal) and clinical (human) studies across PubMed, Embase, CENTRAL, Web of Science, and Scopus. Included studies reported thermal burns treated with bromelain-based enzymatic debridement and tissue biopsies with histological analysis. Quality was assessed using the SYRCLE Risk of Bias Tool (preclinical) and JBI Critical Appraisal Checklists (clinical). Results: Six preclinical studies (five porcine, one rat) met inclusion criteria. Findings included: selective eschar removal with dermal preservation; protection of the zone of stasis (67% partial- vs. 100% full-thickness necrosis; p = 0.05); viable dermal thickness of 1.1 ± 0.7 mm; and accelerated re-epithelialization (7.4 ± 0.8 vs. 9.1 ± 2.1 days; p < 0.05). Only two clinical studies (n = 9 patients) met the inclusion criteria: one case series (n = 8) and one case report. Clinical findings showed upper dermal homogenisation with preserved deep dermis, vascular congestion correlating with pinpoint bleeding, and pseudoeschar formation via transepidermal elimination. Conclusions: Preclinical evidence supports selective enzymatic debridement with dermal preservation. However, clinical histological data are limited to nine patients after over 13 years of use. This highlights a critical translational gap and underscores the need for prospective clinical histological studies. Full article
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20 pages, 4274 KB  
Article
Wildfire Risk Assessment in the Mediterranean Under Climate Change
by Ioannis Zarikos, Nadia Politi, Effrosyni Karakitsou, Εirini Barianaki, Nikolaos Gounaris, Diamando Vlachogiannis and Athanasios Sfetsos
Fire 2026, 9(3), 135; https://doi.org/10.3390/fire9030135 - 23 Mar 2026
Viewed by 302
Abstract
This study presents a comprehensive wildfire risk assessment framework for Rhodes Island, Greece, aimed at quantifying the impacts of climate change on hazard levels and vulnerability in a typical Mediterranean environment. The approach integrates Fire Weather Index (FWI) data, detailed fuel-type mapping, and [...] Read more.
This study presents a comprehensive wildfire risk assessment framework for Rhodes Island, Greece, aimed at quantifying the impacts of climate change on hazard levels and vulnerability in a typical Mediterranean environment. The approach integrates Fire Weather Index (FWI) data, detailed fuel-type mapping, and multiple vulnerability indicators covering ecological, socioeconomic, and population factors, enabling spatially explicit estimates of current and future wildfire risk. Historically, Rhodes mostly faces moderate wildfire risk, mainly in central and northeastern regions, with localised areas of higher risk near settlements and key economic sites. Climate forecasts for 2025–2049 predict a notable increase in hazard, with areas experiencing extreme fire weather (FWI > 50) increasing from 15.19% to 66–72%, across all emission scenarios. Ecological vulnerability is particularly alarming, as 93% of the island is already highly susceptible; fire-prone forest and agricultural zones are expected to move into the highest ecological risk categories, especially in the central mountain areas. The devastating 2023 wildfire, which burned over 17,600 hectares, caused more than €5.8 million in direct damages and led to the largest evacuation in the island’s history, closely aligning with high-risk zones modelled in the framework. An important insight is the limited spatial variation in near-future risk between RCP 4.5 and RCP 8.5, indicating that significant wildfire intensification is largely unavoidable by mid-century, emphasising the urgent need for quick adaptation and risk mitigation efforts for Mediterranean critical infrastructure and communities. Full article
(This article belongs to the Topic Disaster Risk Management and Resilience)
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19 pages, 2458 KB  
Article
Concentrations and Health Risk Assessment of Ambient PM2.5-Bound Elements in Windsor, Ontario, Canada
by Tianchu Zhang, Yushan Su, James Gilmore, Jerzy Debosz, Michael Noble, Anthony Munoz, Chris Charron and Xiaohong Xu
Atmosphere 2026, 17(3), 328; https://doi.org/10.3390/atmos17030328 - 23 Mar 2026
Viewed by 183
Abstract
Hourly concentrations of PM2.5-bound elements were continuously monitored in Windsor, Canada, from April 2021 to April 2023. Health risk assessment methods of the USEPA were utilized to quantify lifetime cumulative cancer risks (CRs) using six PM2.5-bound elements, and chronic [...] Read more.
Hourly concentrations of PM2.5-bound elements were continuously monitored in Windsor, Canada, from April 2021 to April 2023. Health risk assessment methods of the USEPA were utilized to quantify lifetime cumulative cancer risks (CRs) using six PM2.5-bound elements, and chronic non-cancer hazard quotients (HQs) using 11 elements, for each season, each source factor, and each hour of day. The two-year average PM2.5 mass concentration was 9.2 μg/m3, slightly exceeding Ontario’s Ambient Air Quality Criteria of 8.8 μg/m3. A discernible diurnal concentration pattern was noted for most elements, peaking during morning rush hours and tapering during the daytime, largely attributed to local human activities and changes in atmospheric mixing heights. Despite this, both the total lifetime cumulative CR (4.1 × 10−5) and non-cancer total HQ (0.82) from exposure to ambient elements remained below the corresponding USEPA-acceptable levels. The seasonal variation in CRs and HQs was minimal. However, the diurnal variation was strong, with higher risks during morning rush hours (6:00–8:00) when traffic volume peaks, and lower risks during the daytime (12:00–20:00) when atmospheric mixing height is enhanced. Metal processing emerged as the most significant contributor to the total CR (52%) and HQ (60%), followed by coal/heavy oil burning (19% and 16%, respectively), and vehicular exhaust (19% and 12%, respectively). The remaining two source factors accounted for 10% of CR and 12% of HQ. Cd (62%) was the largest contributor to CRs, followed by Cr(VI) (25%), Co (6%), As (5%), Ni (2%), and Pb (<0.1%). Similarly, Cd dominated HQs (73%), followed by Mn (11%), Ni (6.3%), with the remaining eight elements collectively contributing 9.7%. Although levels of CRs and HQs are low, efforts to mitigate ambient Cd emissions from metal processing sources will help reduce exposure and protect the environment and human health, given Cd is the primary contributor to the total CR and HQ during the study period. Full article
(This article belongs to the Special Issue Air Pollution: Health Risks and Mitigation Strategies)
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Article
Vertical Variability and Source Apportionment of Black and Brown Carbon During Urban Seasonal Haze
by Samita Kladin, Parkpoom Choomanee, Surat Bualert, Thunyapat Thongyen, Nattakit Jintauschariya and Wladyslaw W. Szymanski
Atmosphere 2026, 17(3), 325; https://doi.org/10.3390/atmos17030325 - 22 Mar 2026
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Abstract
This study investigates the vertical variation and temporal characteristics and indicates the sources of black carbon (BC) and brown carbon (BrC) within particulate matter fraction PM1 during light (November–December 2024) and heavy (January–February 2025) haze episodes in Bangkok, Thailand, a topic where [...] Read more.
This study investigates the vertical variation and temporal characteristics and indicates the sources of black carbon (BC) and brown carbon (BrC) within particulate matter fraction PM1 during light (November–December 2024) and heavy (January–February 2025) haze episodes in Bangkok, Thailand, a topic where data are still limited data regarding Southeast Asian megacities. Continuous measurements were conducted at 30 and 110 m above ground level, together with particle size distribution measurement, micrometeorological observations, and backward air mass trajectory analysis. During the haze periods, the highest particle number concentrations occurred in the 0.3–0.4 µm size range, indicating dominant contributions from combustion-related emissions and secondary aerosol formation. Mean PM1 mass concentrations during the heavy haze episodes were more than 2.5 times higher than those during light haze. BC concentrations increased substantially during heavy haze, while the BC fraction of PM1 remained relatively constant (~10%). In contrast, the BrC fraction reached nearly 20%, reflecting an increasing influence of biomass burning emissions associated with regional transport. Combined analyses of BC/BrC relationships, wind-direction dependence, and air mass trajectories demonstrate mixed contributions from local fossil fuel combustion and long-range transport of biomass burning aerosols during severe haze events. Full article
(This article belongs to the Section Air Quality and Health)
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