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17 pages, 2231 KB  
Article
Genome-Wide Identification and Expression Analysis of the ClHMGB Gene Family in Watermelon Under Abiotic Stress and Fusarium oxysporum Infection
by Changqing Xuan, Mengli Yang, Yufan Ma, Xue Dai, Shen Liang, Gaozheng Chang and Xian Zhang
Int. J. Mol. Sci. 2026, 27(1), 157; https://doi.org/10.3390/ijms27010157 - 23 Dec 2025
Abstract
High-Mobility Group B (HMGB) proteins are conserved non-histone nuclear proteins involved in DNA replication, transcription, recombination, repair; plant growth and development; and stress responses. In this study, we identified nine ClHMGB genes in watermelon using genome-wide search. Phylogenetic and homology analyses classified them [...] Read more.
High-Mobility Group B (HMGB) proteins are conserved non-histone nuclear proteins involved in DNA replication, transcription, recombination, repair; plant growth and development; and stress responses. In this study, we identified nine ClHMGB genes in watermelon using genome-wide search. Phylogenetic and homology analyses classified them into four distinct classes. Synteny analysis revealed that ClHMGB genes share closer evolutionary relationships with dicots than with monocots. Tissue-specific expression profiling showed that eight ClHMGB members exhibit higher transcript levels in female and/or male flowers, suggesting that they play essential roles in floral organ development. Under drought, low-temperature, and salt stresses, ClHMGB members displayed distinct expression patterns. For instance, ClHMGB4 and ClHMGB8 were downregulated under drought and low-temperature stress but upregulated under salt stress, indicating potential functional specialization in response to different abiotic stresses. The highly virulent Fusarium oxysporum f. sp. niveum race 2 (Fon R2) induced the upregulation of more ClHMGB genes than the less virulent race 1 (Fon R1). Four members (ClHMGB1, 4, 6, and 7) were consistently upregulated by both races, suggesting that they may play fundamental roles in disease resistance. This study provides a foundation for further investigation into the roles of ClHMGB genes in growth, development, and stress responses of watermelon. Full article
(This article belongs to the Special Issue Plant Responses to Biotic and Abiotic Stresses)
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17 pages, 655 KB  
Article
Confidence Intervals for Two Proportions—A Generalized Estimation and Information Assessment
by Qiang Wu and Paul Vos
Mathematics 2026, 14(1), 45; https://doi.org/10.3390/math14010045 - 23 Dec 2025
Abstract
This paper develops profile score confidence intervals (i.e., z-standard intervals) by inverting orthogonalized score estimators for comparing two independent binomial proportions in rate difference, rate ratio, or odds ratio and utilizes a generalized estimation framework of Vos and Wu (Inf. Geom. 8: [...] Read more.
This paper develops profile score confidence intervals (i.e., z-standard intervals) by inverting orthogonalized score estimators for comparing two independent binomial proportions in rate difference, rate ratio, or odds ratio and utilizes a generalized estimation framework of Vos and Wu (Inf. Geom. 8: 99–123, 2025) to evaluate different confidence interval methods. The orthogonalized score estimators dominate other generalized estimators in Λ-efficiency for distinguishing parameter values around the truth, so the z-standard intervals become more efficient and acquire coverage closer to the nominal level than other types of confidence intervals. In addition, the degrees of freedom and small-sample corrections (applied to the profile nuisance parameter estimates) are expected to improve the coverage of the z-standard intervals and help maintain them above the nominal level. Computational algorithms are developed to find the z-standard intervals using R’s polyroot function. Numerical studies are conducted to compare both coverage and endpoints of different types of confidence intervals. Full article
(This article belongs to the Section D1: Probability and Statistics)
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39 pages, 4207 KB  
Article
Ensemble Learning-Driven Flood Risk Management Using Hybrid Defense Systems
by Nadir Murtaza and Ghufran Ahmed Pasha
AI 2026, 7(1), 2; https://doi.org/10.3390/ai7010002 - 22 Dec 2025
Abstract
Climate-induced flooding is a major issue throughout the globe, resulting in damage to infrastructure, loss of life, and the economy. Therefore, there is an urgent need for sustainable flood risk management. This paper assesses the effectiveness of the hybrid defense system using advanced [...] Read more.
Climate-induced flooding is a major issue throughout the globe, resulting in damage to infrastructure, loss of life, and the economy. Therefore, there is an urgent need for sustainable flood risk management. This paper assesses the effectiveness of the hybrid defense system using advanced artificial intelligence (AI) techniques. A data series of energy dissipation (ΔE), flow conditions, roughness, and vegetation density was collected from literature and laboratory experiments. Out of the selected 136 data points, 80 points were collected from literature and 56 from a laboratory experiment. Advanced AI models like Random Forest (RF), Extreme Boosting Gradient (XGBoost) with Particle Swarm Optimization (PSO), Support Vector Regression (SVR) with PSO, and artificial neural network (ANN) with PSO were trained on the collected data series for predicting floodwater energy dissipation. The predictive capability of each model was evaluated through performance indicators, including the coefficient of determination (R2) and root mean square error (RMSE). Further, the relationship between input and output parameters was evaluated using a correlation heatmap, scatter pair plot, and HEC-contour maps. The results demonstrated the superior performance of the Random Forest (RF) model, with a high coefficient of determination (R2 = 0.96) and a low RMSE of 3.03 during training. This superiority was further supported by statistical analyses, where ANOVA and t-tests confirmed the significant performance differences among the models, and Taylor’s diagram showed closer agreement between RF predictions and observed energy dissipation. Further, scatter pair plot and HEC-contour maps also supported the result of SHAP analysis, demonstrating greater impact of the roughness condition followed by vegetation density in reducing floodwater energy dissipation under diverse flow conditions. The findings of this study concluded that RF has the capability of modeling flood risk management, indicating the role of AI models in combination with a hybrid defense system for enhanced flood risk management. Full article
(This article belongs to the Special Issue Sensing the Future: IOT-AI Synergy for Climate Action)
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8 pages, 2778 KB  
Proceeding Paper
A Model for Data–Pilot Biases in Presence of Satellite and Receiver Imperfections
by Christoph Enneking, Steffen Thölert, Peter Steigenberger and Oliver Montenbruck
Eng. Proc. 2025, 88(1), 78; https://doi.org/10.3390/engproc2025088078 - 22 Dec 2025
Abstract
The data and pilot channel of the Global Positioning System (GPS) L5 signal and other modernized signals of the global navigation satellite system (GNSS) are subject to an intra-signal bias. This tracking-mode-dependent bias causes problems for the harmonized usage of receiver network data, [...] Read more.
The data and pilot channel of the Global Positioning System (GPS) L5 signal and other modernized signals of the global navigation satellite system (GNSS) are subject to an intra-signal bias. This tracking-mode-dependent bias causes problems for the harmonized usage of receiver network data, such as from the International GNSS Service (IGS). While previous studies have focused on exhaustive numeric analysis of the data–pilot bias, this work takes a closer look at the possible causes at satellite and receiver level. Our findings indicate that the data–pilot bias on GPS L5 can be well explained with a small set of parameters that are all related to the payload. These parameters include the digital distortion of the data and pilot component, plus a relative shift of the two components. Furthermore, our numerical results indicate that the according inter-signal corrections (ISCs) may need more frequent updates. Full article
(This article belongs to the Proceedings of European Navigation Conference 2024)
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14 pages, 5418 KB  
Article
Organic Amendments Regulate Soil Bacterial Diversity and Cooperative Network Structure in Reclaimed Coal Gangue Soil
by Zeyu Zeng, Tao Kong, Gang Lv, Haotian Cheng, Sinuo Bao and Lin Xiao
Microorganisms 2026, 14(1), 17; https://doi.org/10.3390/microorganisms14010017 - 20 Dec 2025
Viewed by 64
Abstract
Restoring soil microbial functioning in reclaimed coal gangue soils is critical for ecosystem recovery, yet how different organic amendments, particularly industrial by-products, regulate bacterial communities remains unclear. Here, we tested three organic inputs—the residue after evaporation (RAE) from vitamin C production, Trichoderma inoculation, [...] Read more.
Restoring soil microbial functioning in reclaimed coal gangue soils is critical for ecosystem recovery, yet how different organic amendments, particularly industrial by-products, regulate bacterial communities remains unclear. Here, we tested three organic inputs—the residue after evaporation (RAE) from vitamin C production, Trichoderma inoculation, and cattle manure—applied alone and in combination in a photovoltaic agroforestry system on coal gangue spoil. Our results indicate that the treatment based on manure increased bacterial α-diversity and favored taxa associated with organic matter transformation, including Actinobacteria and Acidobacteriota, suggesting expanded niche partitioning in response to heterogeneous substrates and nutrients. RAE alone supported communities closer to non-manure controls but, when co-applied with manure, further enhanced network connectivity and the prevalence of positive associations, indicating strengthened cooperative interactions and functional redundancy. In contrast, RAE combined with Trichoderma in the absence of manure reduced diversity, and simplified the co-occurrence network, suggesting resource monopolization and antagonism. Overall, RAE acted as a key driver of microbial cooperation and potential ecosystem resilience, and RAE-based amendments, particularly when integrated with manure, appear to be effective strategies for improving soil microbial functionality in degraded coal gangue soils. Full article
(This article belongs to the Special Issue Microorganisms Around Coal Mines and Their Application, 2nd Edition)
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16 pages, 476 KB  
Review
Bioresorbable Scaffolds for Coronary Revascularization: From Concept to Clinical Maturity
by Angeliki Bourazana, Alexandros Briasoulis, Christos Kourek, Toshiki Kuno, Ioannis Leventis, Chris Pantsios, Vasiliki Androutsopoulou, Kyriakos Spiliopoulos, Grigorios Giamouzis, John Skoularigis and Andrew Xanthopoulos
J. Cardiovasc. Dev. Dis. 2026, 13(1), 2; https://doi.org/10.3390/jcdd13010002 - 19 Dec 2025
Viewed by 65
Abstract
Over the past decades, coronary revascularization has evolved dramatically with the introduction of bioresorbable scaffolds (BRSs), designed to provide temporary vessel support, elute antiproliferative drugs, and then fully resorb, ideally restoring natural vasomotion and eliminating long-term foreign-body reactions. Early enthusiasm for first-generation polymeric [...] Read more.
Over the past decades, coronary revascularization has evolved dramatically with the introduction of bioresorbable scaffolds (BRSs), designed to provide temporary vessel support, elute antiproliferative drugs, and then fully resorb, ideally restoring natural vasomotion and eliminating long-term foreign-body reactions. Early enthusiasm for first-generation polymeric devices, such as the Absorb bioresorbable vascular scaffold, was tempered by increased rates of scaffold thrombosis and late adverse events, largely attributed to thick struts, suboptimal implantation techniques, and unpredictable degradation kinetics. Subsequent developments in polymeric (e.g., MeRes-100, NeoVas) and metallic magnesium-based scaffolds (e.g., Magmaris) have focused on thinner struts, improved radial strength, and refined resorption profiles. Clinical trials and meta-analyses, including ABSORB, AIDA, BIOSOLVE, and BIOSTEMI, reveal that optimized procedural strategies, especially the “PSP” approach (Prepare–Size–Post-dilate) and routine intravascular imaging, substantially reduce thrombosis and restenosis rates, aligning outcomes closer to those of contemporary drug-eluting stents (DESs). Nonetheless, challenges persist regarding inflammatory responses to degradation by-products, mechanical fragility in complex lesions, and patient selection. Ongoing innovations include hybrid polymer–metal designs, stimuli-responsive drug coatings, and AI-assisted imaging for precision implantation. While early-generation BRSs demonstrated both promise and pitfalls, next-generation platforms show steady progress toward achieving the dual goals of transient scaffolding and long-term vessel restoration. The current trajectory suggests that bioresorbable technology, supported by optimized technique and material science, may soon fulfill its original vision; offering safe, effective, and fully resorbable alternatives to permanent metallic stents in coronary artery disease. This review provides an updated synthesis of the design principles, clinical outcomes, and procedural considerations of drug-eluting bioresorbable scaffolds (BRSs). It integrates recent meta-analytic evidence and emerging insights on device mechanics, including the influence of strut thickness on radial strength and the potential role of non-invasive imaging in pre-implantation planning. Special focus is given to magnesium-based scaffolds and future directions in patient selection and implantation strategy. Full article
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25 pages, 12574 KB  
Article
Features of the Structural Design of Welded Joints of Superelastic Nitinol Wires
by Viktor Kvasnytskyi, Anastasiia Zvorykina, Leonid Zvorykin, Constantine Zvorykin and Yevgenia Chvertko
Materials 2026, 19(1), 7; https://doi.org/10.3390/ma19010007 - 19 Dec 2025
Viewed by 86
Abstract
The object of the study is a permanent joint of thin wires made of nitinol alloy. The problem of ensuring the formation of a joint of wires made of nitinol alloy was solved based on minimising changes in the structure of the welded [...] Read more.
The object of the study is a permanent joint of thin wires made of nitinol alloy. The problem of ensuring the formation of a joint of wires made of nitinol alloy was solved based on minimising changes in the structure of the welded joint material relative to the materials being joined. The properties of the welded joint material of the nitinol were studied using scanning electron microscopy and micro-X-ray spectral analysis. The studied permanent joint was obtained by TIG, microplasma (PAW) and capacitor discharge (CDW) welding. It was found that TIG welding can ensure the proximity of the microstructures of the wire and welded joint materials under conditions of sufficient protection in an argon atmosphere. Such TiNi welded joints have a welded joint material that retains its superelastic properties (within the limits of the shape memory effect). Capacitor discharge welding allows the joint to be brought closer to the required level of microstructure of the weld material. The results of mechanical tests demonstrated the limited capabilities of joints made of thin nitinol wires. At the same time, the appearance of only newly formed TiNi + TiNi3 eutectics in the weld material and a sufficient level of restoration of the welded joint shape give reason to consider capacitor discharge welding promising for joining thin nitinol wires. PAW leads to the formation of a significant amount of oxides in the weld and an increase in the number of Ti2Ni inclusions, which leads to brittle fracture of the welded joint even at low degrees of deformation. The results of the study can be used, in particular, for the manufacture of nitinol wire joints in medical devices. Full article
(This article belongs to the Section Metals and Alloys)
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18 pages, 3688 KB  
Article
Assessing Artificial Shading and Evaporative Cooling for Enhanced Outdoor Thermal Comfort at the American University of Beirut
by Zahraa Diab, Hadi Kachmar and Nesreen Ghaddar
Sustainability 2025, 17(24), 11365; https://doi.org/10.3390/su172411365 - 18 Dec 2025
Viewed by 112
Abstract
Urban environments, particularly university campuses, are increasingly exposed to thermal discomfort due to the Urban Heat Island (UHI) effect and intense solar radiation. This study evaluates the effectiveness of passive and hybrid cooling strategies, specifically sun-sail shading and mist cooling, in enhancing outdoor [...] Read more.
Urban environments, particularly university campuses, are increasingly exposed to thermal discomfort due to the Urban Heat Island (UHI) effect and intense solar radiation. This study evaluates the effectiveness of passive and hybrid cooling strategies, specifically sun-sail shading and mist cooling, in enhancing outdoor thermal comfort (OTC) in a university courtyard. The Van Dyck courtyard at the American University of Beirut, located on the East Mediterranean coast, was selected due to its heavy use between 10 am and 2 pm during summer, when ambient temperatures ranged between 32 and 36 °C and relative humidity between 21 and 33%. Thermal variations across four seating areas were analyzed using ENVI-met, a high-resolution microscale model validated against on-site data, achieving Mean Absolute Percentage Errors of 4% for air temperature and 5.2% for relative humidity. Under baseline conditions, Physiological Equivalent Temperature (PET) exceeded 58 °C, indicating severe thermal stress. Several mitigation strategies were evaluated, including three shading configurations, two mist-cooling setups, and a combined system. Results showed that double-layer shading reduced PET by 17.1 °C, mist cooling by 1.2 °C, and the combined system by 20.7 °C. Shading minimized radiant heat gain, while mist cooling enhanced evaporative cooling, jointly bringing thermal sensations closer to slightly warm–comfortable conditions. These cooling interventions also have sustainability value by reducing dependence on mechanically cooled indoor spaces and lowering campus air-conditioning demand. As passive or low-energy measures, shading and mist cooling support climate-adaptive outdoor design in heat-stressed Mediterranean environments. Full article
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20 pages, 869 KB  
Review
The Conservation Crisis of Ophiocordyceps sinensis: Strategies, Challenges, and Sustainable Future of Artificial Cultivation
by Zhoujian He, Meng Ye, Huaxue Wu, Dan Liang, Jie Huan, Yuan Yao, Xinyue Wu and Xiaomei Luo
J. Fungi 2025, 11(12), 892; https://doi.org/10.3390/jof11120892 - 18 Dec 2025
Viewed by 343
Abstract
Ophiocordyceps sinensis, a fungus revered in traditional Asian medicine, is critically endangered due to climate change and overharvesting. Artificial cultivation is thus essential to meet demand and promote conservation. This review systematically analyses the decline of wild O. sinensis and evaluates the [...] Read more.
Ophiocordyceps sinensis, a fungus revered in traditional Asian medicine, is critically endangered due to climate change and overharvesting. Artificial cultivation is thus essential to meet demand and promote conservation. This review systematically analyses the decline of wild O. sinensis and evaluates the two primary cultivation strategies: in vitro mycelial fermentation and in vivo inoculation. We find that in vitro fermentation, while scalable and standardized, yields a chemical profile distinct from that of wild fungi. In vivo inoculation can produce fruiting bodies morphologically and chemically closer to wild specimens but is hampered by technical challenges in host rearing and low infection rates. By dissecting these bottlenecks, this review provides a framework for the sustainable cultivation of O. sinensis, crucial for preserving both a cornerstone of traditional medicine and the ecological balance of its native habitats. Full article
(This article belongs to the Collection Fungal Biodiversity and Ecology)
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15 pages, 1237 KB  
Article
Epigenome-Wide Search for Distinctive Methylation Biomarkers of Endothelial and Leukocyte DNA
by Valeria A. Korolenya, Maxim L. Filipenko and Mariya A. Smetanina
Epigenomes 2025, 9(4), 53; https://doi.org/10.3390/epigenomes9040053 - 17 Dec 2025
Viewed by 145
Abstract
The endothelium, as the inner layer of the vascular wall, is in constant contact with blood components, so that leukocytes have the ability to adhere to endotheliocytes and penetrate to the subendothelial space. When studying heterogenic vascular samples containing endothelial cells or pathological [...] Read more.
The endothelium, as the inner layer of the vascular wall, is in constant contact with blood components, so that leukocytes have the ability to adhere to endotheliocytes and penetrate to the subendothelial space. When studying heterogenic vascular samples containing endothelial cells or pathological processes related to inflammation within the endothelium, it may be necessary to distinguish DNA by endothelial and leukocyte origin, which is possible due to its specific epigenetic modifications. To identify CpG loci that could serve as markers for endothelial cells, we searched for their distinctive stable methylated or demethylated states by applying marginal filtering (selecting CpG loci with methylation Beta values closer to 0 and 1) to the microarray data and identified 47 CpG loci with relatively stable methylation/demethylation status that differentiate endothelial (HUVEC, HCMEC, HPAEC, HPMEC, and LSEC) DNA from leukocyte (granulocytes, monocytes, and lymphocytes) DNA. In addition, we compared CpG loci with high and low levels of DNA methylation between different types of endothelial cells and leukocytes. We believe that the obtained data will hopefully facilitate further studies on endothelial dysfunction. Full article
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18 pages, 1799 KB  
Article
Heavy Metal Accumulation and Human Health Risk in Mediterranean Mussels from the Southern Marmara Sea, Türkiye
by Saadet Hacısalihoğlu
Toxics 2025, 13(12), 1084; https://doi.org/10.3390/toxics13121084 - 17 Dec 2025
Viewed by 215
Abstract
This study evaluated the accumulation of heavy metals (As, Cd, Cu, Hg, Pb, and Zn) in Mediterranean mussels (Mytilus galloprovincialis) collected from five coastal stations (Küçükkumla, Kurşunlu, Güzelyalı, Mudanya, and Zeytinbağı; n = 20 mussels per station; composited into one sample [...] Read more.
This study evaluated the accumulation of heavy metals (As, Cd, Cu, Hg, Pb, and Zn) in Mediterranean mussels (Mytilus galloprovincialis) collected from five coastal stations (Küçükkumla, Kurşunlu, Güzelyalı, Mudanya, and Zeytinbağı; n = 20 mussels per station; composited into one sample per site) along the southern coast of the Marmara Sea (Bursa, Türkiye), and assessed the associated potential health risks. Analyses using ICP-OES revealed spatial variations in metal concentrations among stations. Statistical analyses (p < 0.05) showed no significant differences in As levels, whereas Cd, Cu, Hg, Pb, and Zn concentrations differed significantly. Mudanya exhibited the highest levels of Zn and Hg, while Cd was particularly elevated in Mudanya and Güzelyalı. Kurşunlu showed the highest Cu concentrations, and Küçükkumla had the highest Pb levels. Human health risk assessments for the adult population (EDI, EWI, THQ, HI) were all below 1.0, indicating no appreciable non-carcinogenic risk under the assumed adult dietary exposure scenario, based on internationally recognized toxicological reference values (FAO/WHO, JECFA, and EC Regulation 1881/2006). However, relatively higher HI values in Mudanya (0.695) and Küçükkumla (0.646) suggest the need for closer monitoring. Overall, the findings demonstrate that mussels serve as effective bioindicators of coastal metal contamination in the southern Marmara Sea and underscore the importance of continuous biomonitoring to safeguard both ecosystem and public health. Full article
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22 pages, 660 KB  
Article
Intergovernmental Transfers as Determinants of Municipal Fiscal Sustainability: A Review of Theory and Empirical Evidence from Polish Municipalities
by Krzysztof Kluza and Katarzyna Wójtowicz
Sustainability 2025, 17(24), 11284; https://doi.org/10.3390/su172411284 - 16 Dec 2025
Viewed by 185
Abstract
Intergovernmental transfers play a crucial role in shaping the fiscal position of local governments, especially in countries where municipalities, such as those in Poland, exhibit a high dependence on central funding. Recent reforms and the increasing reliance on discretionary revenues transferred from the [...] Read more.
Intergovernmental transfers play a crucial role in shaping the fiscal position of local governments, especially in countries where municipalities, such as those in Poland, exhibit a high dependence on central funding. Recent reforms and the increasing reliance on discretionary revenues transferred from the central budget have motivated a closer examination of how these instruments influence local fiscal sustainability. This article analyses how different types of transfers—general subsidies and targeted grants—affect the fiscal sustainability of Polish municipalities across several dimensions, including autonomy, solvency, efficiency and economic resilience. Using panel data, five sets of models test the crowding-out effect, developmental impact, pro-cyclicality, fiscal discipline, and fiscal replacement mechanisms. Results show that general subsidies crowd out local tax revenues, particularly in less developed municipalities, while targeted grants strengthen the tax base in rural areas. Transfers have mixed effects: targeted grants strongly stimulate investment and support local development but tend to increase debt; general subsidies weaken local tax capacity and reduce fiscal autonomy, although they improve short-term fiscal discipline. In municipalities with limited fiscal independence, transfers act as short-term compensatory tools, fostering dependence on state aid rather than self-reliance. A macroeconomic crowding-out effect also appears, as higher transfers reduce private sector resources. Regarding fiscal discipline, equalization and compensatory subsidies decrease debt levels, whereas targeted grants can raise debt in urban municipalities with co-financing obligations. General subsidies show fiscal replacement effects, substituting local revenue sources. The findings provide insights for designing transfer systems that balance financial support with incentives for local autonomy and sustainable development. Full article
(This article belongs to the Section Economic and Business Aspects of Sustainability)
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10 pages, 1143 KB  
Article
APACHE II and NUTRIC Scores for Mortality Prediction in Chronic Critical Illness: A “Right-Side” Prognostic Modeling Approach
by Dmitrij V. Zhidilyaev, Levan B. Berikashvili, Mikhail Ya. Yadgarov, Petr A. Polyakov, Alexey A. Yakovlev, Artem N. Kuzovlev and Valery V. Likhvantsev
Diagnostics 2025, 15(24), 3218; https://doi.org/10.3390/diagnostics15243218 - 16 Dec 2025
Viewed by 188
Abstract
Background/Objectives: Accurate prognostication for patients with chronic critical illness (CCI) following brain injury remains challenging. Conventional scoring systems like the Acute Physiology and Chronic Health Evaluation II (APACHE II) and the Nutrition Risk in the Critically Ill (NUTRIC) score are validated as “left-side” [...] Read more.
Background/Objectives: Accurate prognostication for patients with chronic critical illness (CCI) following brain injury remains challenging. Conventional scoring systems like the Acute Physiology and Chronic Health Evaluation II (APACHE II) and the Nutrition Risk in the Critically Ill (NUTRIC) score are validated as “left-side” models for risk stratification at intensive care unit (ICU) admission but may not capture the evolving trajectory of prolonged illness. This study aimed to evaluate the prognostic performance of APACHE II and NUTRIC as “right-side” models—assessed at intervals closer to the outcome—by testing the hypothesis that their predictive accuracy for in-hospital mortality improves when measured nearer to the time of death. Methods: In this real-world data analysis study, data were extracted from the electronic health records (Russian Intensive Care Dataset [RICD] v. 2.0) of 328 adult patients with CCI following brain injury. The discriminative ability of repeatedly assessed APACHE II and NUTRIC scores for predicting mortality was analyzed by calculating the area under the receiver operating characteristic curve (AUROC) for three predefined intervals before death: within ≤7 days, 8–14 days, and ≥15 days. Results: Among the 328 patients (median age 64 years; 18.3% in-hospital mortality), a total of 380 paired score assessments were analyzed. The predictive performance for both scores was highest within 7 days of death (APACHE II AUROC: 0.883; NUTRIC AUROC: 0.839). Discriminatory ability declined at 8–14 days (APACHE II AUROC: 0.807; NUTRIC AUROC: 0.778) and was poorest at ≥15 days before death (APACHE II AUROC: 0.671; NUTRIC AUROC: 0.681). The NUTRIC score consistently demonstrated higher AUROC values than APACHE II across all intervals, though the differences were not statistically significant. Conclusions: In patients with CCI following brain injury, the prognostic accuracy of APACHE II and NUTRIC scores is time-dependent, peaking immediately before death and offering poor long-term prediction from admission. These findings underscore the limitation of static, admission-based models and highlight the necessity for developing dynamic, personalized and time-sensitive prognostic tools tailored to the evolving course of chronic critical illness. Full article
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53 pages, 1902 KB  
Review
Edge AI for Smart Cities: Foundations, Challenges, and Opportunities
by Krishna Sruthi Velaga, Yifan Guo and Wei Yu
Smart Cities 2025, 8(6), 211; https://doi.org/10.3390/smartcities8060211 - 16 Dec 2025
Viewed by 463
Abstract
Smart cities seek to improve urban living by embedding advanced technologies into infrastructures, services, and governance. Edge Artificial Intelligence (Edge AI) has emerged as a critical enabler by moving computation and learning closer to data sources, enabling real-time decision-making, improving privacy, and reducing [...] Read more.
Smart cities seek to improve urban living by embedding advanced technologies into infrastructures, services, and governance. Edge Artificial Intelligence (Edge AI) has emerged as a critical enabler by moving computation and learning closer to data sources, enabling real-time decision-making, improving privacy, and reducing reliance on centralized cloud infrastructure. This survey provides a comprehensive review of the foundations, challenges, and opportunities of edge AI in smart cities. In particular, we begin with an overview of layer-wise designs for edge AI-enabled smart cities, followed by an introduction to the core components of edge AI systems, including applications, sensing data, models, and infrastructure. Then, we summarize domain-specific applications spanning manufacturing, healthcare, transportation, buildings, and environments, highlighting both the softcore (e.g., AI algorithm design) and the hardcore (e.g., edge device selection) in heterogeneous applications. Next, we analyze the sources of sensing data generation, model design strategies, and hardware infrastructure that underpin edge AI deployment. Building on these, we finally identify several open challenges and provide future research directions in this domain. Our survey outlines a future research roadmap to advance edge AI technologies, thereby supporting the development of adaptive, harmonic, and sustainable smart cities. Full article
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14 pages, 2527 KB  
Article
Genome-Wide Identification and Expression Pattern of the SPP Gene Family in Cotton (Gossypium hirsutum) Under Abiotic Stress
by Cuijie Cui, Chao Wang, Shangfu Ren and Huiqin Wang
Genes 2025, 16(12), 1500; https://doi.org/10.3390/genes16121500 - 15 Dec 2025
Viewed by 141
Abstract
Background: Sucrose metabolism plays a crucial role in plant responses to abiotic stresses such as drought and high temperatures, significantly influencing plant growth and yield formation. In higher plants, the second step in sucrose bioconversion involves sucrose phosphate phosphatase (SPP) hydrolyzing sucrose-6-phosphate to [...] Read more.
Background: Sucrose metabolism plays a crucial role in plant responses to abiotic stresses such as drought and high temperatures, significantly influencing plant growth and yield formation. In higher plants, the second step in sucrose bioconversion involves sucrose phosphate phosphatase (SPP) hydrolyzing sucrose-6-phosphate to form sucrose. This study determined the number of SPP gene family members in upland cotton (Gossypium hirsutum), systematically analyzed their fundamental characteristics, physicochemical properties, phylogenetic relationships, chromosomal localization, and expression patterns across different tissues and under various abiotic stresses. Methods: The SPP gene family in hirsutum was identified using Hidden Markov Models (HMMER) and the NCBI Conserved Domain Database (NCBI CDD), and its physico-chemical properties were analyzed via the SOPMA online analysis website. Phylogenetic relationships were determined using MEGA 12.0 software. Promoter regions were analyzed with PlantCARE, sequence patterns were identified via MEME, and transcriptome data were downloaded from the CottonMD database. Results: This study identified four members of the hirsutum SPP gene family, with amino acid lengths ranging from 335 to 1015, molecular weights between 38.38 and 113.28 kDa, and theoretical isoelectric points (pI) between 5.39 and 6.33. These genes are localized across four chromosomes. The SPP gene family in hirsutum exhibits closer phylo-genetic relationships with SPP genes in Arabidopsis thaliana and Chenopodium quinoa. Their promoter regions are rich in cis-elements associated with multiple abiotic stress resistance functions, and their expression patterns vary across different tissues and under different abiotic stress conditions. Conclusions: The GhSPP gene may play an important role in the growth and development of upland cotton and its responses to salt stress and drought. Therefore, it could be considered as a candidate gene for future functional analysis of cotton resistance to salt and drought stress. Full article
(This article belongs to the Collection Feature Papers in Bioinformatics)
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