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29 pages, 3011 KB  
Systematic Review
Climate-Related Extreme Weather and Urban Mental Health: A Traditional and Bayesian Meta-Analysis
by Teerachai Amnuaylojaroen, Nichapa Parasin and Surasak Saokaew
Earth 2026, 7(1), 14; https://doi.org/10.3390/earth7010014 (registering DOI) - 25 Jan 2026
Abstract
Climate change-induced extreme weather events increasingly threaten public health, with a particularly acute impact on the mental well-being of urban populations. This study evaluates regional disparities in mental health outcomes associated with climate-induced extreme weather in urban environments, where social and infrastructural vulnerabilities [...] Read more.
Climate change-induced extreme weather events increasingly threaten public health, with a particularly acute impact on the mental well-being of urban populations. This study evaluates regional disparities in mental health outcomes associated with climate-induced extreme weather in urban environments, where social and infrastructural vulnerabilities exacerbate environmental stressors. We synthesized data from cohort and cross-sectional studies using both traditional frequentist and Bayesian meta-analytic frameworks to assess the mental health sequelae of extreme weather events (e.g., heatwaves, floods, droughts, and storms). The traditional meta-analysis indicated a significant increase in the odds of adverse mental health outcomes (OR = 1.32, 95% CI: 1.07–1.57). However, this global estimate was characterized by extreme heterogeneity (I2 = 95.8%), indicating that the risk is not uniform but highly context-dependent. Subgroup analyses revealed that this risk is concentrated in specific regions; the strongest associations were observed in Africa (OR = 2.23) and Europe (OR = 2.26). Conversely, the Bayesian analysis yielded a conservative estimate, suggesting a slight reduction in odds (mean OR = 0.92, 95% CrI: 0.87–0.98). This divergence is driven by the Bayesian model’s shrinkage of high-magnitude outliers toward the high-precision data observed in resilient, high-income settings (e.g., USA). Given the extreme heterogeneity observed (I2 = 95.8%), we caution against interpreting either pooled estimate as a universal effect size. Instead, the regional subgroup findings—particularly the consistently elevated risks in Africa and Europe—offer more stable and policy-relevant conclusions. These findings emphasize urgent, context-specific interventions in urban areas facing compounded climate social risks. Full article
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11 pages, 517 KB  
Article
Pulse Oximetry Histogram Profiles Before and After Red Blood Cell Transfusion in Very Preterm Infants: A Prospective Observational Cohort
by Nevra Çolak, Murat Konak and Saime Sündüs Uygun
Children 2026, 13(2), 167; https://doi.org/10.3390/children13020167 (registering DOI) - 25 Jan 2026
Abstract
Background/Objectives: Red blood cell (RBC) transfusion is frequently used to treat anemia of prematurity, yet bedside metrics that capture its short-term impact on oxygenation stability are limited. We assessed whether pulse oximetry histogram-derived oxygen saturation (SpO2) exposure changes after transfusion and [...] Read more.
Background/Objectives: Red blood cell (RBC) transfusion is frequently used to treat anemia of prematurity, yet bedside metrics that capture its short-term impact on oxygenation stability are limited. We assessed whether pulse oximetry histogram-derived oxygen saturation (SpO2) exposure changes after transfusion and whether responses differ across clinical subgroups. Methods: This prospective observational cohort included preterm infants born <32 weeks’ gestation who received a standardized RBC transfusion (15 mL/kg). Continuous SpO2 histograms quantified the percentage of monitored time spent in hypoxemia (<85%), normoxemia (86–95%), and hyperoxemia (≥96%) during four intervals: 24 h pre-transfusion and 24, 48, and 72 h post-transfusion. Repeated-measures and subgroup analyses (BPD, sex, birth weight < 1000 g) were performed. Results: Thirty-three infants were analyzed (gestational age 29.4 ± 2.1 weeks; birth weight 1220.6 ± 316.9 g). Hemoglobin increased from 8.6 ± 1.1 to 11.7 ± 1.0 g/dL (p < 0.001). Cohort-level histogram shifts were modest: normoxemia increased from 68.4 ± 12.1% to 72.6 ± 11.4% at 24 h (p = 0.18), hypoxemia decreased from 10.3 ± 6.5% to 6.6 ± 4.8% (p = 0.09), and hyperoxemia remained stable (21.3 ± 9.2% to 20.8 ± 8.5%; p = 0.44). Infants with BPD and those <1000 g showed persistently higher hypoxemia and/or hyperoxemia at 72 h compared with counterparts. Exploratory ROC analyses showed modest discrimination of 24 h hypoxemia for ROP (AUC 0.71) and 72 h hyperoxemia for BPD (AUC 0.74). Conclusions: RBC transfusion corrected anemia but did not produce a consistent cohort-level improvement in SpO2 histogram stability. Histogram metrics may help characterize heterogeneous oxygenation responses and support hypothesis generation for individualized monitoring strategies. Full article
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19 pages, 2323 KB  
Review
Advancing Efficiency and Sustainability in Road Construction: A Bibliometric Review of Recent Innovations and Challenges
by Kornel Nagy, Bernadett Bringye and Zoltan Karoly Lakner
Appl. Sci. 2026, 16(3), 1205; https://doi.org/10.3390/app16031205 (registering DOI) - 24 Jan 2026
Abstract
It is well documented that road construction is a pillar of well-balanced socioeconomic development worldwide. The first decades of the new millennium have witnessed unprecedented development in road construction activities in emerging economies and the Global South. At the same time, the construction [...] Read more.
It is well documented that road construction is a pillar of well-balanced socioeconomic development worldwide. The first decades of the new millennium have witnessed unprecedented development in road construction activities in emerging economies and the Global South. At the same time, the construction industry is widely considered to be a rather conservative one, based on traditional technologies and materials. However, the development of materials science increases the possibilities and volumes of by-products from various technologies, and the selective collection of garbage necessitates innovation in the road construction sphere. The goal of this paper is to provide a broad overview of innovations in road construction. Based on a bibliometric approach, the article analyses the various trends in round construction, where the increasing pressure to reduce costs and the environmental footprint drives deep-rooted innovation through the use of new materials and the optimisation of technologies and management methods. Our results highlight the potential for significant improvements in road construction efficiency, environmental impact, and cost-effectiveness through the adoption of these technologies and methodologies, as well as a trend towards more efficient, sustainable, and technologically advanced road construction practices, with a focus on overcoming traditional inefficiencies and environmental concerns. Future research should continue to focus on addressing these challenges and developing comprehensive, adaptable solutions for the road construction industry, while leveraging the latest findings in this area. Full article
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29 pages, 1012 KB  
Article
Smart Agriculture Development: How Can Rural Digital Transformation Enhance the Resilience of Food Security?
by Yingjie Song, Yi Song and Qiusu Wang
Foods 2026, 15(3), 426; https://doi.org/10.3390/foods15030426 (registering DOI) - 24 Jan 2026
Abstract
The essential prerequisite for the state to ensure the stable production and supply of grain and other key agricultural products is to enhance food security resilience and transform traditional agricultural production and management models. This study utilizes panel data from major grain-producing counties [...] Read more.
The essential prerequisite for the state to ensure the stable production and supply of grain and other key agricultural products is to enhance food security resilience and transform traditional agricultural production and management models. This study utilizes panel data from major grain-producing counties in China from 2012 to 2023. Adopting the 2020 “National Digital Rural Pilot Program” as a quasi-natural experiment, it applies a difference-in-differences (DID) model to assess the program’s impact on food security resilience and its underlying mechanisms. The results demonstrate that digital rural development has a significant driving effect on food security resilience, with more pronounced effects observed in Southern regions, areas endowed with abundant labor resources, and regions with lower economic development levels. Mechanism analyses indicate that digital rural development plays a role in enhancing food security resilience through scaled grain operations and agricultural technological progress. Furthermore, resource allocation efficiency and fiscal transparency exert a positive regulatory effect in impacting food security resilience through digital rural development. This study elucidates the mechanism through which digital rural development enhances food security resilience, offering valuable policy insights for the coordinated advancement of rural revitalization and agricultural digitization. Full article
(This article belongs to the Section Food Security and Sustainability)
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13 pages, 259 KB  
Article
Posttraumatic Stress Symptoms and Anger Among Police Officers Following a Fatal Knife Attack on a Team Member
by Anna Koch-Scharwatt and Ulrich Wesemann
Healthcare 2026, 14(3), 295; https://doi.org/10.3390/healthcare14030295 (registering DOI) - 24 Jan 2026
Abstract
Mental disorders and impairments are part of the occupational risk for emergency personnel. This study examines the impact of a deadly knife attack on police officers’ mental health. Aims: We hypothesized that police officers who knew the deceased team member would report [...] Read more.
Mental disorders and impairments are part of the occupational risk for emergency personnel. This study examines the impact of a deadly knife attack on police officers’ mental health. Aims: We hypothesized that police officers who knew the deceased team member would report higher levels of psychological distress compared to those who did not, regardless of the deployment status. Methods: Six months after a fatal knife attack in which a police officer was killed, a total of N = 254 officers participated in the study. Of these, n = 115 reported knowing the victim personally, n = 126 did not (n = 78 deployed; n = 176 not deployed), while n = five did not provide any information. Posttraumatic stress disorder (PTSD), posttraumatic stress symptoms (PTSS), anger and adverse childhood experiences (ACEs) were assessed using questionnaires. Chi-square tests examined group differences in probable PTSD prevalence; t-tests assessed differences in anger and Posttraumatic Stress Disorder Checklist for DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition; DSM-5; PCL-5) symptom scores. Linear regression analyses tested deployment, acquaintance with the victim, gender, and childhood emotional neglect as predictors. Results: Police officers who personally knew the deceased colleague exhibited significantly higher PTSS scores. In addition, the deployed group showed significantly higher trait anger than the non-deployed. Acquaintance with the victim and emotional neglect in childhood were significantly related to negative cognitions, whereas deployment to the knife attack or gender were not. Discussion: Police officers with a personal connection to the deceased showed significantly higher mental health impact than those with direct exposure alone, placing them in a higher-risk group due to increased exposure to feelings of guilt and shame due to their professional role. Police officers who were emotionally neglected in their childhood may be more prone to negative cognitions in adulthood, when faced with critical events. These results underline the importance of addressing risk factors in both pre-deployment training and post-event debriefing, especially with regard to anger management after major critical incidents. Full article
15 pages, 2107 KB  
Article
Anaerobic Digestate as a Fertiliser: A Comparison of the Nutritional Quality and Gaseous Emissions of Raw Slurry, Digestate, and Inorganic Fertiliser
by Cathy L. Thomas, Stephan M. Haefele and Ilan Adler
Agronomy 2026, 16(3), 287; https://doi.org/10.3390/agronomy16030287 - 23 Jan 2026
Abstract
Anaerobic digestate (AD) has the potential to partially replace inorganic fertiliser, containing readily available nitrogen and other macro- and micronutrients. However, these properties vary with the feedstock. The objectives of this study were to analyse the chemical composition of AD materials and measure [...] Read more.
Anaerobic digestate (AD) has the potential to partially replace inorganic fertiliser, containing readily available nitrogen and other macro- and micronutrients. However, these properties vary with the feedstock. The objectives of this study were to analyse the chemical composition of AD materials and measure their effects on plant growth and greenhouse gas emissions. Anaerobic digestate came from a conventional reactor using vegetable waste and maize as feedstock (‘food AD’) and from a biogas system on a smallholder dairy farm using manure feedstock (‘manure AD’). Undigested cattle slurry (‘manure slurry’) and a complete mineral fertiliser were used as controls. These were applied to wheat plants grown in a glasshouse. Wheat grown with the food AD had a higher yield than the complete mineral fertiliser control, even when applied at a lower rate of nitrogen. Wheat grown with both the food AD and manure AD had macronutrient concentrations equal to or higher than the complete mineral fertiliser treatment. Furthermore, the wheat P concentration was significantly greater with the manure AD treatment, which was unrelated to a biomass dilution effect. However, food AD caused high ammonia emissions, and residual methane was emitted with manure AD, indicating incomplete digestion in the latter. Optimal yields and reduced greenhouse emissions were obtained with mixtures of AD and mineral fertiliser in a 1:1 ratio, indicating the potential to greatly reduce the costs and environmental impact of fertiliser application. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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22 pages, 9173 KB  
Article
Three-Dimensional Model Reconstruction and Layout Optimization in Virtual Museums Using Spatial Intelligence Algorithms: An Analysis of User Visual Impact
by Shuo Zhu, Ying Li, Ye Tang and Heng Yuan
Appl. Sci. 2026, 16(3), 1196; https://doi.org/10.3390/app16031196 - 23 Jan 2026
Abstract
Digital technology has facilitated substantial progress in the development and implementation of virtual museums. Despite these advancements, current virtual museums continue to face challenges in spatial layout and information presentation, including limited exhibit hierarchy, inefficient spatial organization, low information display efficiency, and sub-optimal [...] Read more.
Digital technology has facilitated substantial progress in the development and implementation of virtual museums. Despite these advancements, current virtual museums continue to face challenges in spatial layout and information presentation, including limited exhibit hierarchy, inefficient spatial organization, low information display efficiency, and sub-optimal visual experiences. To address these challenges, spatial intelligence algorithms are utilized to reconstruct three-dimensional models of selected cultural relics for scene creation and to optimize the spatial layout of virtual museum exhibits. The layout optimization approach considers both symmetrical and asymmetrical arrangements, as well as visual hierarchy and information density. This approach aims to establish a more complex exhibit hierarchy, rational spatial organization, and enhanced visual information display. Comparative experiments and analyses of the visual impact from symmetrical layout optimization, along with other spatial layout optimizations, are conducted. User evaluations and eye-tracking experiments indicate that spatial intelligence-optimized algorithms improve both spatial layout and information display in virtual museums, leading to a more positive user visual experience. Full article
(This article belongs to the Topic 3D Documentation of Natural and Cultural Heritage)
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21 pages, 3206 KB  
Article
scIRT: Imputation and Dimensionality Reduction for Single-Cell RNA-Seq Data by Combining NMF with SMOTE
by Yunwen Mou, Shuchao Li and Guoli Ji
Int. J. Mol. Sci. 2026, 27(3), 1173; https://doi.org/10.3390/ijms27031173 - 23 Jan 2026
Abstract
The establishment and development of single-cell RNA-sequencing (scRNA-seq) technology has accelerated the analysis of cell genome characteristics down to the single-cell level. Despite the rapid development of scRNA-seq technology, we cannot obtain a complete gene expression matrix in the biological experiments, and the [...] Read more.
The establishment and development of single-cell RNA-sequencing (scRNA-seq) technology has accelerated the analysis of cell genome characteristics down to the single-cell level. Despite the rapid development of scRNA-seq technology, we cannot obtain a complete gene expression matrix in the biological experiments, and the scRNA-seq data obtained from experiments also have a high dropout rate. Unfortunately, gene expression analysis and clustering tools require a complete matrix of gene expression values for classification or clustering calculations. Most imputation methods focus on the impact of the imputed high-dimensional expression matrix on clustering and cannot obtain the low-dimensional representation matrix, which may have an even better guiding effect on clustering. To this end, we designed an iterative imputation pipeline called scIRT to estimate dropout events for scRNA-seq and achieve dimensionality reduction simultaneously by combining the synthetic minority over-sampling technique (SMOTE) and non-negative matrix factorization (NMF). The adaptation of SMOTE effectively imputes missing data, while NMF performs dimensionality reduction and feature extraction on high-dimensional data. Using several scRNA-seq datasets, we demonstrated that this new approach achieved better and more robust performance than the existing approaches. We also compared the different effects of the imputed matrix and the low-dimensional representation matrix on clustering. ScIRT is a tool that can be used to preprocess scRNA-seq data. It can effectively recover missing data from scRNA-seq to facilitate downstream analyses such as cell type clustering and visualization. Full article
(This article belongs to the Section Molecular Biology)
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24 pages, 1973 KB  
Article
Assessing the Impact of Dietary Calcium–Magnesium Ratio on Calciotrophic Hormones and Body Composition Using Validated Food Frequency Questionnaires
by Emad Aldeen Alsayed, Patricia A. Shewokis, Jennifer Nasser and Deeptha Sukumar
Dietetics 2026, 5(1), 7; https://doi.org/10.3390/dietetics5010007 (registering DOI) - 23 Jan 2026
Abstract
Background: Calcium (Ca) and magnesium (Mg) are essential micronutrients integral to metabolic processes and cardiovascular health. Emerging evidence suggests that the dietary Ca:Mg ratio may influence chronic disease risk, yet variability in this ratio across diverse demographic groups and its relationship to body [...] Read more.
Background: Calcium (Ca) and magnesium (Mg) are essential micronutrients integral to metabolic processes and cardiovascular health. Emerging evidence suggests that the dietary Ca:Mg ratio may influence chronic disease risk, yet variability in this ratio across diverse demographic groups and its relationship to body composition and vitamin D status remain unclear. Methods: Dietary intakes of Ca and Mg were assessed using validated Food Frequency Questionnaires (FFQs) and body composition was quantified via Dual-energy X-ray Absorptiometry (DXA) scans. Relationships between dietary Ca:Mg ratios and demographics, body composition parameters (lean and fat mass), and vitamin D and parathyroid hormone (PTH) levels were examined statistically using SPSS ver. 29.0 and R ver. 4.5.1 (2025) employing Kruskal–Wallis, regression, and moderated mediation analyses. Results: We examined 155 healthy adults with a mean age of 36.6 ± 12.5 years. Only 16.8% had adequate intakes of Mg compared with 45.8% who had adequate dietary Ca intakes. Significant differences in the Ca:Mg ratio were observed across racial groups (p = 0.023) and age groups (p = 0.017). South Asian Indians exhibited the highest median Ca:Mg ratio (4.83), whereas African Americans exhibited the lowest (2.67). Interestingly, our moderated mediation analysis indicated that African Americans were the most sensitive to the impact of PTH changes on the balance of Ca:Mg (indirect effect = −0.762, 95% CI [−1.298, −0.234]), indicating that even slight shifts in their Ca:Mg balances cause significant elevation in the PTH, which, in turn, leads to lowering of their vitamin D levels. Young adults (ages 18–29) had the highest median Ca:Mg ratio (4.73). No statistically significant differences were detected based on Gender (p = 0.425 and BMI (p = 0.744) on Ca:Mg ratios. Additionally, dietary Ca:Mg ratios were positively associated with sPTH in males (r = 0.203, p < 0.05), but not with body composition. Conclusion: Important variations in dietary Ca:Mg ratios exist across racial and age demographics, notably among young adults, and specific ethnic groups exhibited elevated ratios. Tailored nutritional interventions may be necessary for these populations to optimize Ca:Mg balance and support metabolic and cardiovascular health outcomes in these populations. Full article
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19 pages, 266 KB  
Article
“I Was Thinking About Food All the Time, I Didn’t Have Enough”: Understanding the Multidimensional Nature of Food Insecurity Among Undergraduates at an Urban U.S. Campus
by Gabby Headrick, Julia Blouin, Mackenzie Konyar, Lily Amorosino, Matea Mandic, Anna Razvi, Kaleigh Steigman, Sean Watley, Douglas Frazier and Jennifer Sacheck
Nutrients 2026, 18(3), 375; https://doi.org/10.3390/nu18030375 - 23 Jan 2026
Abstract
Background: Food insecurity among college students is a multidimensional challenge shaped by individual, interpersonal, institutional, community, and policy factors. Although many campuses require or provide meal plans, students may experience food insecurity when barriers related to agency (choice and autonomy), utilization (nutrition security), [...] Read more.
Background: Food insecurity among college students is a multidimensional challenge shaped by individual, interpersonal, institutional, community, and policy factors. Although many campuses require or provide meal plans, students may experience food insecurity when barriers related to agency (choice and autonomy), utilization (nutrition security), and availability persist. This study explored how undergraduate students at a private, urban U.S. university experience and navigate the multiple dimensions of food insecurity. Methods: We conducted in-depth, semi-structured interviews via Zoom between December 2024 and January 2025 with n = 22 undergraduate students recruited based on food security status, determined by a Fall 2024 longitudinal survey using the USDA Six-Item Short Form. Transcripts were double-coded by trained research assistants in ATLAS.ti using an inductive codebook. Thematic analyses followed a phronetic, iterative approach, organizing findings within a socio-ecological determinants framework and comparing themes by food security status. Results: We identified nine themes across four domains (individual, interpersonal, institutional and community, and political). At the individual level, constrained personal resources for groceries and cooking, time scarcity leading to skipped meals, and health impacts that detracted from academics emerged as key themes. Interpersonally, reliable family financial support was protective and informal support from peers/coaches filled gaps sporadically for some. At the institutional and community level, dining hall hours misaligned with student schedules, perceived limited variety and nutrition quality reduced food agency and utilization, and transportation impeded use of the sole grocery partner accepting university meal plan benefits. Notably, meal plans including unlimited meal swipes provided stable access but did not guarantee food security when food agency and utilization barriers persisted. Many students relied on campus events for free food; formal assistance (e.g., food pantry) was largely underused. At the policy level, Supplemental Nutrition Assistance Program (SNAP) awareness and enrollment was limited among our sample. Conclusions: Meal plan access alone is insufficient to ensure food security. Campus strategies should extend beyond access to prioritize flexibility, variety, and alignment with students’ schedules and preferences, while strengthening communication and eligibility support for external benefits. Future work should design and evaluate interventions that integrate all dimensions of food security and address institutional policies affecting students’ basic needs. Full article
(This article belongs to the Section Nutrition and Public Health)
26 pages, 4905 KB  
Article
Passive Cooling Strategies for Low-Energy Rural Self-Construction in Cold Regions of China
by Mingzhu Wang, Kumar Biswajit Debnath, Degang Duan and Miguel Amado
Sustainability 2026, 18(3), 1170; https://doi.org/10.3390/su18031170 - 23 Jan 2026
Abstract
Rural self-constructed homes in China’s cold-temperate regions often exhibit poor energy performance due to limited budgets and substandard construction, leading to a high reliance on active systems and low climate resilience. This study assesses four passive cooling strategies, nighttime natural ventilation (NNV), envelope [...] Read more.
Rural self-constructed homes in China’s cold-temperate regions often exhibit poor energy performance due to limited budgets and substandard construction, leading to a high reliance on active systems and low climate resilience. This study assesses four passive cooling strategies, nighttime natural ventilation (NNV), envelope retrofitting (ER), window shading (WS), and window-to-wall ratio adjustment (WWR), under 2040–2080 representative future climate conditions using energy simulation, multi-objective optimization, sensitivity analysis, and life-cycle cost assessment. Combined measures (COM) cut annual cooling demand by ~43% and representative peak cooling loads by ~50%. NNV alone delivers ~37% cooling reduction with rapid payback, while ER primarily mitigates heating demand. WS provides moderate cooling but slightly increases winter energy use, and WWR has minimal impact. Economic and sensitivity analyses indicate that COM and NNV are robust and cost-effective, making them the most suitable strategies for low-energy, climate-resilient retrofits in cold-climate rural residences. Since statistically extreme heat events are not explicitly modeled, the findings reflect relative performance under representative climatic conditions rather than guaranteed resilience under extreme heatwaves. Full article
12 pages, 268 KB  
Article
Use of Daptomycin for the Treatment of Infective Endocarditis Due to Methicillin-Susceptible Staphylococcus aureus (MSSA): A Multicenter Retrospective Study
by Andrea Tommasi, Cesare Bolla, Laura Curci, Serena Penpa, Giovanni Genga, Cristina Sarda, Elisabetta Svizzeretto, Andrea Salvaderi, Giorgia Piceni, Giuseppe Vittorio De Socio, Daniela Francisci, Antonio Maconi, Guido Chichino and Carlo Pallotto
Microbiol. Res. 2026, 17(2), 29; https://doi.org/10.3390/microbiolres17020029 (registering DOI) - 23 Jan 2026
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Abstract
Infective endocarditis (IE) due to methicillin-susceptible Staphylococcus aureus (MSSA) still represents a clinical and therapeutic issue. Discrepancies between guidelines, clinical studies and clinical practice have already been highlighted, especially regarding daptomycin use in MSSA cases. The aim of this study was to evaluate [...] Read more.
Infective endocarditis (IE) due to methicillin-susceptible Staphylococcus aureus (MSSA) still represents a clinical and therapeutic issue. Discrepancies between guidelines, clinical studies and clinical practice have already been highlighted, especially regarding daptomycin use in MSSA cases. The aim of this study was to evaluate daptomycin’s impact on outcomes in this setting. This was a retrospective observational study. We enrolled all patients with MSSA IE admitted from 2015 to 2023. Patients were divided into two groups according to daptomycin administration. We enrolled 76 patients, with 49 in group A (standard treatment) and 27 in group B (treated with daptomycin). The in-hospital crude mortality was 14.3% and 29.6% in group A and B, respectively (p = 0.191). Only heart failure was significantly associated with negative outcome in the univariate and multivariate analyses (OR 6.424, 95% CI, 1.680–24.559; p = 0.007). In this study population, daptomycin treatment for IE due to MSSA was not associated with a reduced mortality rate. Heart failure was the only independent risk factor associated with in-hospital mortality. Full article
21 pages, 3146 KB  
Article
Seasonal Variability, Sources and Markers of the Impact of PAH-Bonded PM10 on Health During the COVID-19 Pandemic in Krakow
by Rakshit Jakhar, Przemysław Furman, Alicja Skiba, Dariusz Wideł, Mirosław Zimnoch, Lucyna Samek and Katarzyna Styszko
Atmosphere 2026, 17(2), 120; https://doi.org/10.3390/atmos17020120 - 23 Jan 2026
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Abstract
The main objective of this research was to evaluate the seasonal variability of PM10-bound polycyclic aromatic hydrocarbons (PAHs), their sources, and analyse their health impacts We confirmduring the COVID-19 pandemic period. The chemical composition of PM10 in terms of PAH [...] Read more.
The main objective of this research was to evaluate the seasonal variability of PM10-bound polycyclic aromatic hydrocarbons (PAHs), their sources, and analyse their health impacts We confirmduring the COVID-19 pandemic period. The chemical composition of PM10 in terms of PAH content was carried out using the gas chromatography-mass spectrometry (GC-MS) technique. PM10 samples were collected in Krakow from 2020 to 2021. A total of 92 samples of particulate matter (PM10 fraction) were analysed. The analyses contained 16 basic PAHs identified by the United States Environmental Protection Agency (U.S. EPA) as the most harmful. The information obtained on the concentrations of PAHs was used to determine the profiles of pollution sources, exposure profiles, and the values of toxic equivalency factors recommended by the EPA: mutagenic equivalent to B[a]P (ang. mutagenic equivalent, MEQ), toxic equivalent to B[a]P (ang. toxic equivalent, TEQ), and carcinogenic equivalent to 2,3,7,8-tetrachlorodibenzo-p-dioxin (ang. carcinogenic equivalent, CEQ). In Kraków, heavy PAHs accounted for over 90% of the total PAHs detected in the PM10 samples. In addition, air trajectory frequency analysis was performed to obtain information on the possibility of transporting pollutants from selected areas in the vicinity of the studied site. Interpreting the trajectory results provided information on the nature of air pollution sources. Analysis of Kraków’s air mass trajectory showed that the highest daily concentration of PM10 in the air flow was from the southwest and east for days. Full article
(This article belongs to the Special Issue Observation and Properties of Atmospheric Aerosol)
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27 pages, 4524 KB  
Article
Landscape-Based Approaches to Post-Earthquake Reconstruction in the Inland Areas of Central Italy
by Massimo Angrilli, Valentina Ciuffreda and Ilaria Matta
Sustainability 2026, 18(3), 1163; https://doi.org/10.3390/su18031163 - 23 Jan 2026
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Abstract
This paper analyses the role of landscape as a fundamental dimension of post-earthquake recovery in the inland areas of Central Italy, arguing that reconstruction must be understood not only as the repair of damaged buildings but as a broader territorial process affecting identity, [...] Read more.
This paper analyses the role of landscape as a fundamental dimension of post-earthquake recovery in the inland areas of Central Italy, arguing that reconstruction must be understood not only as the repair of damaged buildings but as a broader territorial process affecting identity, spatial organization, and long-term settlement trajectories. In this sense, post-earthquake recovery is also interpreted as a strategic opportunity to reinforce coast–inland relationships, acknowledging the structural interdependence between inland Apennine areas and coastal urban systems. Drawing on insights from applied research conducted in the L’Aquila 2009 crater and on the conceptual framework developed within the PRIN TRIALS project, the paper discusses how seismic events accelerate pre-existing territorial dynamics and produce enduring transformations, particularly in the proximity landscapes surrounding historic centres. Rather than presenting empirical findings, the contribution offers a theoretical and operational framework aimed at integrating landscape considerations into reconstruction processes. It outlines key concepts such as landscape quality, transformative resilience, and permanent temporariness; reviews critical normative aspects linked to emergency procedures; and proposes a set of landscape-oriented guidelines and criteria for the contextual integration of reconstruction projects. These include landscape quality objectives, multiscalar readings of identity values, and operational tools such as visual-impact assessment, Project Reference Context analysis, and principles for managing transformations in peri-urban and historic environments. Overall, the paper argues that adopting a landscape-based perspective can strengthen territorial cohesion, support the sustainable redevelopment of historic centres and their surroundings, and embed post-earthquake reconstruction within broader coast–inland territorial strategies aimed at long-term resilience and balanced regional development in Apennine communities. Full article
(This article belongs to the Special Issue Landscape Planning Between Coastal and Inland Areas)
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29 pages, 1072 KB  
Systematic Review
Ethical Responsibility in Medical AI: A Semi-Systematic Thematic Review and Multilevel Governance Model
by Domingos Martinho, Pedro Sobreiro, Andreia Domingues, Filipa Martinho and Nuno Nogueira
Healthcare 2026, 14(3), 287; https://doi.org/10.3390/healthcare14030287 - 23 Jan 2026
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Abstract
Background: Artificial intelligence (AI) is transforming medical practice, enhancing diagnostic accuracy, personalisation, and clinical efficiency. However, this transition raises complex ethical challenges related to transparency, accountability, fairness, and human oversight. This study examines how the literature conceptualises and distributes ethical responsibility in [...] Read more.
Background: Artificial intelligence (AI) is transforming medical practice, enhancing diagnostic accuracy, personalisation, and clinical efficiency. However, this transition raises complex ethical challenges related to transparency, accountability, fairness, and human oversight. This study examines how the literature conceptualises and distributes ethical responsibility in AI-assisted healthcare. Methods: This semi-systematic, theory-informed thematic review was conducted in accordance with the PRISMA 2020 guidelines. Publications from 2020 to 2025 were retrieved from PubMed, ScienceDirect, IEEE Xplore databases, and MDPI journals. A semi-quantitative keyword-based scoring model was applied to titles and abstracts to determine their relevance. High-relevance studies (n = 187) were analysed using an eight-category ethical framework: transparency and explainability, regulatory challenges, accountability, justice and equity, patient autonomy, beneficence–non-maleficence, data privacy, and the impact on the medical profession. Results: The analysis revealed a fragmented ethical landscape in which technological innovation frequently outperforms regulatory harmonisation and shared accountability structures. Transparency and explainability were the dominant concerns (34.8%). Significant gaps in organisational responsibility, equitable data practices, patient autonomy, and professional redefinition were reported. A multilevel ethical responsibility model was developed, integrating micro (clinical), meso (institutional), and macro (regulatory) dimensions, articulated through both ex ante and ex post perspectives. Conclusions: AI requires governance frameworks that integrate ethical principles, regulatory alignment, and epistemic justice in medicine. This review proposes a multidimensional model that bridges normative ethics and operational governance. Future research should explore empirical, longitudinal, and interdisciplinary approaches to assess the real impact of AI on clinical practice, equity, and trust. Full article
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