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Background/Objectives: To examine the importance of a composite measure incorporating the Geriatric Nutritional Risk Index (GNRI) and total cholesterol (TC), termed TC-GNRI, in predicting pneumonia mortality in community-dwelling aged individuals. Methods: A longitudinal analysis of the Tsurugaya cohort in Japan, including 1124 participants
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Background/Objectives: To examine the importance of a composite measure incorporating the Geriatric Nutritional Risk Index (GNRI) and total cholesterol (TC), termed TC-GNRI, in predicting pneumonia mortality in community-dwelling aged individuals. Methods: A longitudinal analysis of the Tsurugaya cohort in Japan, including 1124 participants aged 70 years or older, was used for tracking pneumonia-related deaths for an 11-year period. Total cholesterol thresholds were set at 171 mg/dL (males) and 192 mg/dL (females), classified into higher- and lower-groups. GNRI was divided into higher (≥100.64) and lower (<100.64) groups. A combined index (TC-GNRI) was then created by integrating these indices into three levels: high (both values at or above the thresholds), intermediate (one value above and one below), and low (both below). Cox proportional hazards models estimated hazard ratios (HRs) for pneumonia mortality, adjusting for age, gender, smoking, the Timed Up and Go test, %FVC, and tuberculosis, using high groups as references. Results: Kaplan–Meier curves showed that lower total cholesterol and lower GNRI were associated with higher pneumonia mortality than in the respective higher groups. The intermediate- and low-TC-GNRI groups had poorer survival rates than the high group. After adjustment, lower total cholesterol (HR = 3.03, 95% CI 1.41–6.52) and lower GNRI (HR = 2.69, 95% CI 1.21–5.99) were each associated with greater pneumonia mortality than the higher groups. The intermediate- (HR = 2.81, 95% CI 1.18–6.70) and low-TC-GNRI (HR = 6.17, 95% CI 2.15–17.74) groups showed greater pneumonia mortality than the high group. Conclusions: TC-GNRI may provide additional value in indicating pneumonia mortality risk than total cholesterol or GNRI alone. TC-GNRI may be a valuable tool for identifying older adults at particularly high risk of pneumonia mortality.
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Robson de Jesus Santos, Marilza Neves do Nascimento, Romeu da Silva Leite, Gabriela Torres-Silva, Uasley Caldas De Oliveira, Aritana Alves da Silva, Maryelle Vanilla de Abreu Cerqueira and Gabrielly dos Santos Lima Oliveira
Horticulturae2026, 12(2), 172; https://doi.org/10.3390/horticulturae12020172 (registering DOI) - 30 Jan 2026
Drought is the primary stress factor in semiarid environments. Consequently, selecting plant genetic resources capable of tolerating temporary periods of water scarcity, such as Physalis angulata, becomes essential. This study aimed to identify P. angulata accessions with potential for use under water
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Drought is the primary stress factor in semiarid environments. Consequently, selecting plant genetic resources capable of tolerating temporary periods of water scarcity, such as Physalis angulata, becomes essential. This study aimed to identify P. angulata accessions with potential for use under water deficit conditions by evaluating plant water status and physiological and biochemical responses. Five accessions, including two from Bahia (BA1 and BA2), Pará-PA, Rio de Janeiro-RJ, and Piauí-PI, were grown under well-watered and water deficit conditions. Relative water content, gas exchange parameters, and organic solute accumulation were assessed. All accessions exhibited changes in plant water status and reductions in CO2 assimilation, stomatal conductance, and leaf transpiration under water deficit. The accumulation of compatible solutes varied among accessions, with notable contrasts between Bahia accession 2 and Pará accession, particularly for total soluble sugars and reducing sugars. These findings highlight the complexity of the species and the distinct mechanisms underlying its response to limited water availability. Overall, gas exchange was the trait most sensitive to water restriction, followed by alterations in biochemical attributes. Therefore, the Physalis angulata accessions from Bahia accession 2 and Pará accession show potential for use under water-deficit conditions and could provide valuable insights, particularly through transcriptome analysis.
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We propose and develop a unified framework for Weyl-type symmetry in von Neumann algebras. Motivated by recent automorphism-rigidity phenomena that identify finite Weyl groups inside automorphism groups of crossed products arising from lattice actions on homogeneous spaces, we introduce the Weyl group of [...] Read more.
We propose and develop a unified framework for Weyl-type symmetry in von Neumann algebras. Motivated by recent automorphism-rigidity phenomena that identify finite Weyl groups inside automorphism groups of crossed products arising from lattice actions on homogeneous spaces, we introduce the Weyl group of an inclusion, for a unital inclusion of von Neumann algebras, and investigate its structure across several rigidity regimes. Our main results (1) prove finiteness or triviality of for large classes of nonamenable crossed products, including hyperbolic and product-type actions with spectral gap and malleability; (2) establish a subgroup-normalizer rigidity principle for inclusions that identifies with a discrete group controlled by ; (3) show that permutation-type symmetry for product/tensor decompositions is the only possible nontrivial symmetry of the underlying group subalgebras; and (4) extend the analysis to type III factors via Maharam extensions and unique-Cartan phenomena, proving that is discrete and often trivial, leaving only modular flows as outer symmetries. Consequences include new computations of outer automorphism groups, constraints on intermediate subalgebras, and classification consequences for crossed products and amalgamated free products. The methods combine Popa’s intertwining-by-bimodules, spectral-gap and s-malleable deformations, boundary/ucp-map rigidity, and groupoid/Cartan techniques.
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Organic photovoltaic materials and nonlinear optical materials share inherent commonalities in molecular characteristics—such as strong light absorption, high charge carrier mobility, and tunable energy levels. Therefore, this study selects a bithiophene-fused ring system with photovoltaic application potential as the research subject. Using TTTTB6-2CHO
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Organic photovoltaic materials and nonlinear optical materials share inherent commonalities in molecular characteristics—such as strong light absorption, high charge carrier mobility, and tunable energy levels. Therefore, this study selects a bithiophene-fused ring system with photovoltaic application potential as the research subject. Using TTTTB6-2CHO (TB1) and IDTTB6-2CHO (TB2) as comparative molecules, their nonlinear optical properties in the near-infrared region were systematically investigated. Transient absorption spectroscopy results demonstrate that TB1 exhibits strong and persistent excited-state absorption within the spectral range of 650–900 nm, endowing it with excellent two-photon absorption performance (a cross-section of up to 5591 GM at 650 nm) and an ultralow optical limiting threshold (0.00147 J/cm2 under 800 nm femtosecond laser irradiation). The findings of this study not only confirm the feasibility of developing nonlinear optical materials from photovoltaic candidate molecules but also highlight the effectiveness of the “thiophene-for-benzene substitution” strategy in significantly enhancing optical nonlinearity. These results provide valuable design principles for the development of multifunctional organic optoelectronic materials, particularly for application scenarios such as laser protection.
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Background/Objectives: The National Comprehensive Cancer Network (NCCN) classifies prostate cancer with PSA > 20 ng/mL as high risk; however, outcomes within this group are heterogeneous. Emerging data suggest that men with PSA > 20 ng/mL as the sole high-risk feature may have more
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Background/Objectives: The National Comprehensive Cancer Network (NCCN) classifies prostate cancer with PSA > 20 ng/mL as high risk; however, outcomes within this group are heterogeneous. Emerging data suggest that men with PSA > 20 ng/mL as the sole high-risk feature may have more favorable disease biology. We evaluated outcomes of men with prostate cancer treated with definitive radiation therapy (RT), focusing on the prognostic significance of individual high-risk factors. Methods: We analyzed 742 men with prostatic adenocarcinoma treated with curative-intent RT between 2005 and 2021, including 282 meeting traditional NCCN high-risk criteria. Treatment consisted of dose-escalated RT (median 78 Gy), with androgen deprivation therapy (ADT) administered to 94% (median duration 28 months). Primary endpoints were freedom from biochemical failure (FFBF) and distant metastasis (FFDM). Outcomes were assessed using Kaplan–Meier methods and Cox proportional hazards modeling. Results: At 5 years, high-risk patients demonstrated FFBF of 83% and FFDM of 89%, with significantly worse outcomes among very high-risk subgroups. Men with PSA > 20 ng/mL as their only high-risk feature (n = 49) achieved superior outcomes compared with other high-risk patients (5-year FFBF 94% vs. 74%; FFDM 97% vs. 82%; both p = 0.05), comparable to intermediate-risk disease. On multivariable analysis, Gleason score and clinical T-stage independently predicted poorer outcomes, whereas PSA >20 alone did not. Conclusions: PSA > 20 ng/mL as an isolated high-risk feature is associated with favorable outcomes following definitive RT and appears to be the weakest NCCN high-risk criterion. These findings support refined risk stratification and raise the possibility of treatment de-escalation in select patients.
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The use of cannabis during pregnancy is increasing, in line with its growing societal acceptance and legalization. Cannabis use mainly concerns its active components Δ9-tetrahydrocannabinol (THC) and cannabidiol (CBD). While cannabis has therapeutic effects on pain, nausea, and vomiting, its impact
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The use of cannabis during pregnancy is increasing, in line with its growing societal acceptance and legalization. Cannabis use mainly concerns its active components Δ9-tetrahydrocannabinol (THC) and cannabidiol (CBD). While cannabis has therapeutic effects on pain, nausea, and vomiting, its impact on fetal development remains a significant public health concern. Given the existence of a local endocannabinoid system (ECS) in the placenta, with proven effects on placental development and blood flow, it is likely that THC and CBD exert effects via interference with the placental ECS. This review summarizes how cannabis use affects the placental ECS and describes the consequences of such use on placental function and fetal development. It starts with discussing the placental ECS, the effects of THC and CBD on placental function, and the pharmacokinetics of cannabinoids during pregnancy. It then describes the effects of both paternal and maternal cannabis use and provides epidemiological data linking placental insufficiency, impaired fetal growth, and preeclampsia to cannabis use. It also raises awareness for the possibility that cannabis use, by altering DNA methylation, might result in transgenerational effects. It is concluded that current evidence supports abstaining from cannabis use during preconception, pregnancy, and lactation to optimize maternal, fetal, and intergenerational health outcomes.
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Introduction: Parkinson’s disease can influence oral health by impairing motor function and altering salivary composition, potentially affecting the oral microbiome. Materials and Methods: The objectives of this study are fourfold: (a) to compare the prevalence of bacterial species associated with periodontal disease in
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Introduction: Parkinson’s disease can influence oral health by impairing motor function and altering salivary composition, potentially affecting the oral microbiome. Materials and Methods: The objectives of this study are fourfold: (a) to compare the prevalence of bacterial species associated with periodontal disease in patients with and without Parkinson’s disease (PD), (b) to assess whether the coexistence of periodontal disease in PD patients contributes to an imbalance in the oral microbiome, (c) to evaluate the correlation between periodontal clinical indices (plaque index, tartar index, bleeding index, and probing depth) and the concentrations of specific periodontopathogenic bacterial species, and (d) to explore the potential implications of these evidences for clinical management and preventive strategies in Parkinson’s patients. The main objective of this study is to compare periodontal clinical indices (plaque index, tartar index, bleeding index, and probing depth) and the bacterial profile of patients with periodontal and Parknson’s disease. Two groups were included: 15 patients with periodontal disease (control group) and 16 patients with both periodontal and Parkinson’s disease (study group). Microbial samples were collected from the periodontal pockets at baseline and analyzed using the Polymerase Chain Reaction (PCR) Perio-Ident 12 kit to detect major periodontal pathogens. Results: Periodontal indices showed no statistically significant differences between groups, although the study group presented lower mean tartar index (49.31% vs. 67.4%, p = 0.069), bleeding on probing (44.31% vs. 56.67%, p = 0.137), and plaque index (66% vs. 68.93%, p = 0.754). Median bacterial loads were generally higher in control group, with Tannerella forsythia, but without statistically significant difference (p = 0.072). Significant correlations between plaque index and multiple pathogens occurred only in control gorup, suggesting disrupted plaque–pathogen dynamics (p < 0.05). Conclusions: The results highlight the potential value of integrating clinical and microbiological assessment when managing periodontal disease in patients with Parkinson’s disease.
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Granite residual soil (GRS) is highly susceptible to water-induced softening, posing significant risks of slope instability and collapse. Conventional impermeable grouting often exacerbates these hazards by blocking groundwater drainage. This study investigates the efficacy of a permeable water-reactive polyurethane (PWPU) in stabilizing GRS,
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Granite residual soil (GRS) is highly susceptible to water-induced softening, posing significant risks of slope instability and collapse. Conventional impermeable grouting often exacerbates these hazards by blocking groundwater drainage. This study investigates the efficacy of a permeable water-reactive polyurethane (PWPU) in stabilizing GRS, aiming to resolve the conflict between mechanical reinforcement and hydraulic conductivity. Uniaxial compression tests were conducted on specimens with varying initial water contents (5%, 10%, and 15%) and PWPU contents (5%, 10%, and 15%). To reveal the multi-scale failure mechanism, synchronous acoustic emission (AE) monitoring and digital image correlation (DIC) were employed, complemented by scanning electron microscopy (SEM) for microstructural characterization. Results indicate that PWPU treatment significantly enhances soil ductility, shifting the failure mode from brittle fracturing to strain-hardening, particularly at higher moisture levels where failure strains exceeded 30%. This enhancement is attributed to the formation of a flexible polymer network that acts as a micro-reinforcement system to restrict particle sliding and dissipate strain energy. An optimal PWPU content of 10% yielded a maximum compressive strength of 4.5 MPa, while failure strain increased linearly with polymer dosage. SEM analysis confirmed the formation of a porous, reticulated polymer network that effectively bonds soil particles while preserving permeability. The synchronous monitoring quantitatively bridged the gap between internal micro-crack evolution and macroscopic strain localization, with AE analysis revealing that tensile cracking accounted for 79.17% to 96.35% of the total failure events.
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Facial beauty prediction (FBP) is a significant research direction in the field of computer vision; however, the performance of models developed for this task is often constrained due to the scarcity of high-quality annotated data. Generative adversarial networks (GANs) are efficient image generation
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Facial beauty prediction (FBP) is a significant research direction in the field of computer vision; however, the performance of models developed for this task is often constrained due to the scarcity of high-quality annotated data. Generative adversarial networks (GANs) are efficient image generation networks that are capable of rapidly generating facial images. This study proposes an FBP method—named FBP-GAN—which aims to address this shortage of data by generating high-quality synthetic facial images. First, we construct a facial image generation network based on StyleGAN2-ADA to generate diverse and realistic facial images. Second, we combine transfer learning and data augmentation techniques to utilize the synthesized images for training set augmentation while optimizing the category distribution to enhance the generalization ability and prediction accuracy of the classification network. The experimental results demonstrate that, when using MobileViT or ResNeXt as the classification network, our proposed approach achieves prediction accuracies of 76.38% and 77.94% on the SCUT-FBP5500 dataset, respectively, representing improvements of 0.55% and 1.65% over the baseline models’ 75.83% and 76.29%. The proposed approach effectively improves the accuracy of FBP under data-scarce scenarios and opens new avenues for the application of GANs in computer vision tasks.
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Fireworks are an important element of celebrations globally, and while there are multiple reports of their negative impact on both domestic and wild animals, there is limited data directly linking them to casualties. In this article, we present a case of mass bird
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Fireworks are an important element of celebrations globally, and while there are multiple reports of their negative impact on both domestic and wild animals, there is limited data directly linking them to casualties. In this article, we present a case of mass bird deaths (over 1000) in a forest near a town following New Year’s Eve fireworks. The necropsies showed multiple fractures, organ lacerations, and internal hemorrhages. Rapid tests for avian influenza were negative, and there were no suspicious substances in the gastrointestinal tracts or on the X-ray images. This suggests the most likely reason for the deaths was severe traumatic collision injury induced by unexpected nocturnal disturbance from the fireworks nearby.
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To investigate the health risks of particulate matter during spring dust storms in Beijing, this study selected atmospheric particulate samples collected during a typical dust storm event in March 2021. The DNA damage rates induced by PM2.5 and PM10 were measured
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To investigate the health risks of particulate matter during spring dust storms in Beijing, this study selected atmospheric particulate samples collected during a typical dust storm event in March 2021. The DNA damage rates induced by PM2.5 and PM10 were measured using the Plasmid Scission Assay (PSA) and were used as an indicator of their oxidative potential. Water-soluble heavy metal elements (WSHM) in the samples were analyzed using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). Results indicate that due to the influence of the dust storm, the monthly average PM2.5 mass concentration in March 2021 reached as high as 83 μg/m3, which could potentially raise the difficulty of air pollution control. It was found that during the dust storm event, PM2.5 induced a higher DNA damage rate (mean 42.35% at an experimental dose of 200 μg/mL in the PSA) than PM10 (mean 40.46% under the same experimental dosage). The DNA damage rates of dust storm particles showed a positive correlation trend (r = 0.60) with total WSHM concentrations. Exposure toxicity, calculated by multiplying the DNA damage rates under certain experimental PM doses by the PM mass concentrations, showed that the exposure risk of PM2.5 during dust storms even exceeded that of PM2.5 during haze events. This study reveals the potential toxicity and health risks associated with PM during dust storms, which calls for increased attention.
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Understanding how inner development capacities are embodied at biological levels remains an underexplored dimension of planetary health research. The aim of this viewpoint is to provide transdisciplinary integration across neuroscience, cell biology, education, and social systems toward addressing planetary health challenges. Despite growing
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Understanding how inner development capacities are embodied at biological levels remains an underexplored dimension of planetary health research. The aim of this viewpoint is to provide transdisciplinary integration across neuroscience, cell biology, education, and social systems toward addressing planetary health challenges. Despite growing recognition of the Inner Development Goals (IDG) framework as complementary to the UN Sustainable Development Goals, the biophysical dynamics underlying personal and collective transformation remain largely unexplored. This viewpoint presents key molecular pathways that may underpin the Embodied Neuroplastic Resilience Model (ENRM) via calcium signaling and hyaluronan (the CHA axis). This viewpoint explores educational and therapeutic implications while simultaneously illuminating how socioeconomic inequalities constrain access to neuroplasticity-supporting practices. Four key conclusions emerge: (1) The CHA axis provides a compelling mechanistic framework for understanding how bodily experiences can reshape neural circuits through calcium signaling and hyaluronic acid matrix dynamics; (2) Mapping molecular mechanisms to complex human inner development capacities remains provisional, requiring further interdisciplinary investigation; (3) Socioeconomic inequality creates structural barriers to neuroplasticity and inner development, necessitating an integrated approach that connects mechanistic understanding with equitable access to transformative practices; (4) Enhanced understanding of embodied neuroplasticity must serve compassion and systemic transformation, moving beyond individual optimization toward collective well-being. By bridging neuroscience and sustainability frameworks, this viewpoint calls for a nuanced understanding of inner development that transcends individual optimization and emphasizes collective transformation.
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Subsistence family farming in Peru is increasingly constrained by ecosystem degradation, climate variability, and limited access to productive services, particularly where environmental exposure is high. This study develops an Agro-productive and Territorial Vulnerability Index (IVAPT) to evaluate environmental, ecosystem, and socioeconomic vulnerability of
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Subsistence family farming in Peru is increasingly constrained by ecosystem degradation, climate variability, and limited access to productive services, particularly where environmental exposure is high. This study develops an Agro-productive and Territorial Vulnerability Index (IVAPT) to evaluate environmental, ecosystem, and socioeconomic vulnerability of subsistence agriculture at the district level nationwide. The index integrates district-level agricultural survey data (ENA-2024) with multi-temporal MODIS NDVI series (2000–2024) and comprehensive climatic, topographic, land-cover, and accessibility indicators, processed through multivariate statistics. Three objective weighting schemes (ENTROPY, CRITIC, PCA) construct thematic sub-indices of Environmental Exposure (EnvExp), Ecosystem Condition (EcoCond), and Socioeconomic Capacity (SocioCap). Results show more than half of Peru’s 1552 districts fall within moderate to very high vulnerability, with highest concentration in the Amazon region (Loreto, Ucayali, Madre de Dios), Andean-Amazonian transitions, and highland districts (Huancavelica, Apurímac, Ayacucho, Puno) where biophysical constraints, ecosystem pressure, and socioeconomic isolation converge. Dimensional spatial complementarity EnvExp peaking on coast, EcoCond in Amazon, SocioCap in Andes demonstrates effective vulnerability reduction requires dimension-specific interventions. Despite divergent weighting schemes, spatial patterns remained consistent, validating identified hotspots. IVAPT provides a reproducible framework supporting evidence-based territorial planning and targeted investments in water infrastructure, ecosystem restoration, and climate adaptation.
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Comprehensive monitoring of gas extraction parameters is crucial for the safe production of coal mines. However, it is a challenge to collect the overall gas drainage network parameters with limited sensors due to technical and econoincorporating mic constraints. To address this issue, a
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Comprehensive monitoring of gas extraction parameters is crucial for the safe production of coal mines. However, it is a challenge to collect the overall gas drainage network parameters with limited sensors due to technical and econoincorporating mic constraints. To address this issue, a nonlinear model for gas confluence structure is construed for the conservation of mass, energy, and gas state properties. Considering exogenous variables such as frictional loss correction coefficient (α) and air leakage resistance coefficient (β), as well as the iterative structure of drainage networks, a hybrid PSO–Newton algorithm framework is designed. This framework realizes iterative solutions for multi confluence structures by combining global optimization (PSO) and local nonlinear solving (Newton’s method). A case study using historical monitoring data from the 11,306 working face of S Coal Mine was conducted to evaluate the proposed algorithm at both branch and drill field scale. The results show that key parameters such as gas flow velocity, concentration, and density align with actual observation trends, with most deviations within 10%, verifying the accuracy and effectiveness of the algorithm. A deviation comparison between the standalone Newton’s method and the PSO–Newton algorithm further demonstrates the stability of the latter. By enabling the derivation of comprehensive network parameters from limited monitoring data, this study provides strong support for the intelligent management of coal mine gas extraction.
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In this study, a three-dimensional (3D) model is developed based on an actual small forestry crawler tractor, to analyze its overturning and rollover behaviors, and a corresponding simulation model is constructed. The accuracy of the 3D model is validated by comparing its dimensions
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In this study, a three-dimensional (3D) model is developed based on an actual small forestry crawler tractor, to analyze its overturning and rollover behaviors, and a corresponding simulation model is constructed. The accuracy of the 3D model is validated by comparing its dimensions and center of gravity with those of the physical tractor, and the fidelity of the simulation model is verified using static sidelong falling angle, minimum turning radius, and driving tests. The developed simulation framework was employed to investigate the dynamic behavior of the small forestry crawler tractor, focusing on roll and pitch angular velocities across different obstacle heights, slope angles, and driving speeds. Backward rollover was not observed within the tractor’s realistic operating speed range, indicating that backward rollover is not the dominant risk mode. In contrast, lateral overturning occurs under all driving scenarios, and increases in driving speed and obstacle height lead to higher roll angular velocities, increasing the risk of lateral overturning. Across all conditions, the likelihood of lateral overturning surges when the roll angular velocity enters the 80–100°/s range, with obstacle height exerting the greatest influence. In conclusion, the small forestry crawler tractor is more prone to lateral overturning than backward rollover when driving on inclined surfaces. A distinct threshold roll angular velocity is identified as the onset point of lateral overturning, which will vary according to the tractor’s specifications. This study is a quantitative study of a small forestry crawler tractor and does not correlate with a full-scale tractor. While angular velocity values vary during lateral overturning and backward rollover, this study was conducted to identify trends under various driving conditions. Further work is required to apply the proposed analysis methodology to full-scale agricultural and forestry machinery and validate it with real-world operational data.
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This study presents an edge-based intrusion detection methodology designed to enhance cybersecurity in Internet of Things environments, which remain highly vulnerable to complex attacks. The approach employs an Auxiliary Classifier Generative Adversarial Network capable of classifying network traffic in real-time while simultaneously generating
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This study presents an edge-based intrusion detection methodology designed to enhance cybersecurity in Internet of Things environments, which remain highly vulnerable to complex attacks. The approach employs an Auxiliary Classifier Generative Adversarial Network capable of classifying network traffic in real-time while simultaneously generating high-fidelity synthetic data within a unified framework. The model is implemented in TensorFlow and deployed on the energy-efficient NVIDIA Jetson Orin Nano, demonstrating the feasibility of executing advanced deep learning models at the edge. Training is conducted on network traffic collected from diverse IoT devices, with preprocessing focused on TCP-based threats. The integration of an auxiliary classifier enables the generation of labeled synthetic samples that mitigate data scarcity and improve supervised learning under imbalanced conditions. Experimental results demonstrate strong detection performance, achieving a precision of 0.89 and a recall of 0.97 using the standard 0.5 decision threshold inherent to the sigmoid-based binary classifier, indicating an effective balance between intrusion detection capability and false-positive reduction, which is critical for reliable operation in IoT scenarios. The generative component enhances data augmentation, robustness, and generalization. These results show that combining generative adversarial learning with edge computing provides a scalable and effective approach for IoT security. Future work will focus on stabilizing training procedures and refining hyperparameters to improve detection performance while maintaining high precision.
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SF3B1-mutated myelodysplastic syndrome (MDS) is a distinct entity associated with a favorable prognosis. Recent data suggest that certain SF3B1 variants portend a worse prognosis. Our study aims to (1) describe SF3B1-MDS patients from a single tertiary center in Singapore and (2)
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SF3B1-mutated myelodysplastic syndrome (MDS) is a distinct entity associated with a favorable prognosis. Recent data suggest that certain SF3B1 variants portend a worse prognosis. Our study aims to (1) describe SF3B1-MDS patients from a single tertiary center in Singapore and (2) determine if variant type holds prognostic value. We identified MDS patients with SF3B1 variants via next-generation sequencing (NGS) performed from 1 November 2021 to 31 October 2025 at Singapore General Hospital. Extracted genomic material from marrow or blood samples was amplified. Libraries were prepared, sequenced, and analyzed, and the hematological parameters, mutation profiles, and outcomes were evaluated. Twenty-five patients had SF3B1-MDS. Ten SF3B1 variants were found, and the three most prevalent were K700E (42%), K666N (19%), and R625C (7.7%). The median variant allele frequency (VAF) was 30% (IQR: 11–36%). Twelve patients (48%) had ≥1 co-mutations. Variant type and VAF had no impact on disease progression; only the presence of ≥1 co-mutations increased the progression chances. In our study, the analysis of SF3B1 variant type was inconclusive and showed no demonstrable statistical association with disease progression. However, the number of co-mutations affected the prognosis of patients. As SF3B1-MDS is heterogenous, further studies are needed to capture its diversity and identify features required to improve risk stratification and personalized treatment.
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Jongheon Jung, Ji Hyun Lee, Sung-Hyun Kim, Jae Hoon Lee, Kwai Han Yoo, Young Rok Do, Ho-jin Shin, Kihyun Kim, Sang Eun Yoon, Dok Hyun Yoon, Hyungwoo Cho, Hye Jin Kang, Ja Min Byun, Jae-Cheol Jo, Seung-Shin Lee, Won Sik Lee, Je-Jung Lee, Sung-Hoon Jung, Myung-Won Lee, Jun Ho Yi, Ju-Hyun Park, Chang-Ki Min, Hyeon-Seok Eom and on behalf of the Korean Multiple Myeloma Working Party (KMMWP)add
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Cancers2026, 18(3), 471; https://doi.org/10.3390/cancers18030471 (registering DOI) - 30 Jan 2026
Background: Second salvage autologous stem cell transplantation (SAT) is a therapeutic option for patients with multiple myeloma (MM) who relapse after a first autologous stem cell transplantation (ASCT) in the era of novel agents. However, the clinical context in which SAT provides benefit
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Background: Second salvage autologous stem cell transplantation (SAT) is a therapeutic option for patients with multiple myeloma (MM) who relapse after a first autologous stem cell transplantation (ASCT) in the era of novel agents. However, the clinical context in which SAT provides benefit relative to contemporary salvage regimens remains unclear. Methods: We retrospectively analyzed 51 patients who underwent SAT after novel agent-based induction and first ASCT, and salvage re-induction, and compared outcomes with 113 patients treated with salvage carfilzomib–lenalidomide–dexamethasone (KRd) without SAT. Results: Median interval from first ASCT to relapse was 27 months. In the SAT cohort, median progression-free survival (PFS) and overall survival (OS) from initiation of salvage therapy were 30 and 99 months, respectively. A time to relapse ≥18 months after first ASCT and receipt of SAT as second-line of therapy were associated with significantly longer PFS and OS. In multivariate analysis, administration of SAT at later lines was independently associated with inferior outcomes, while a time to relapse ≥18 months after first ASCT was associated with significantly longer OS. Compared with the KRd-only cohort, SAT was associated with longer OS, whereas PFS was numerically longer without statistical significance. Among patients who had received both a proteasome inhibitor and an immunomodulatory drug as salvage induction, SAT was associated with longer PFS and OS. Conclusions: SAT may provide clinical benefit in selected patients with MM, particularly those with a durable response to first ASCT and those undergoing SAT at an earlier line of relapse in the novel agent era.
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This article presents an improved formulation of Newton’s law of cooling using the conformable fractional derivative to model long-term thermal behavior more accurately. A key feature of our approach is the use of the fractional time variable , which introduces a
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This article presents an improved formulation of Newton’s law of cooling using the conformable fractional derivative to model long-term thermal behavior more accurately. A key feature of our approach is the use of the fractional time variable , which introduces a simple scaling symmetry: the structure of the model remains unchanged even when time is proportionally stretched or compressed. This symmetry-based property provides additional flexibility compared to the classical formulation and enables the derivation of analytical solutions under both constant and non-constant ambient temperature. In particular, we incorporate sinusoidal models for ambient temperature to capture realistic environmental fluctuations over extended periods. Experimental measurements confirm that the conformable model achieves significantly better accuracy than traditional integer-order models. These results highlight the relevance of symmetry and fractional calculus in describing physical processes and demonstrate the potential of conformable methods for improving long-term thermal predictions.
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To investigate the regulatory mechanisms of arbuscular mycorrhizal fungi (AMF) on the growth, cadmium (Cd) uptake and translocation of plants with distinct mycorrhizal dependency (MD), a pot experiment was conducted using Paspalum notatum (high MD) and Lolium perenne (low MD) under two Cd
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To investigate the regulatory mechanisms of arbuscular mycorrhizal fungi (AMF) on the growth, cadmium (Cd) uptake and translocation of plants with distinct mycorrhizal dependency (MD), a pot experiment was conducted using Paspalum notatum (high MD) and Lolium perenne (low MD) under two Cd gradients (5 mg·kg−1, 50 mg·kg−1) with AMF-inoculated/non-inoculated treatments, with 0 mg·kg−1 set as the control group. AMF significantly enhanced the dry weight and colonization rate of both plant species, and the MD of Paspalum notatum remained consistently higher. The growth-promoting effect of AMF (quantified by MD) exceeded the toxicity induced by Cd stress, thereby mitigating growth inhibition by promoting hyphal growth in the rhizosphere. AMF improved the root bioconcentration factor (BCF) and total Cd extraction capacity of the plants, which was correlated with the plants’ inherent Cd absorption capacity but not with MD. AMF exerted species-specific regulatory effects on the translocation factor (TF): the TF of Paspalum notatum increased after inoculation, while that of Lolium perenne decreased.
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Dmitriy A. Medvedev, Elena Yu. Zvychaynaya, Polina A. Guseva, Margarita A. Danilova, Andrey S. Zaitsev, Daniil I. Korobushkin, Ruslan A. Saifutdinov, Konstantin B. Gongalsky and Maxim I. Degtyarev
Diversity2026, 18(2), 85; https://doi.org/10.3390/d18020085 (registering DOI) - 30 Jan 2026
The study of Palaearctic enchytraeid taxonomic richness revealed the limitations of applying morphological identification methods to certain species of the genus Cognettia. The use of molecular approaches enabled the identification of individuals belonging to C. chlorophila among immature and fragmented enchytraeids that
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The study of Palaearctic enchytraeid taxonomic richness revealed the limitations of applying morphological identification methods to certain species of the genus Cognettia. The use of molecular approaches enabled the identification of individuals belonging to C. chlorophila among immature and fragmented enchytraeids that had initially been identified morphologically as C. sphagnetorum s.l. These findings substantially extend the known distribution range of C. chlorophila eastward. Reliable distribution data for C. chlorophila and C. sphagnetorum s.s., obtained through genetic analysis, complement existing evidence of their coexistence in shared habitats and highlight questions concerning their biotopic preferences. It is hypothesized that the relatively low level of genetic diversity in these species is associated with potential postglacial dispersal routes of C. sphagnetorum s.l. from Scandinavian refugia and with species-specific biological characteristics.
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Microbe–mineral interactions in lacustrine environments play a critical role in controlling carbonate diagenesis and preserving organic matter, particularly under the influence of hydrothermal processes. To improve the understanding of such processes, this study focuses on the diagenesis of different types of carbonates from
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Microbe–mineral interactions in lacustrine environments play a critical role in controlling carbonate diagenesis and preserving organic matter, particularly under the influence of hydrothermal processes. To improve the understanding of such processes, this study focuses on the diagenesis of different types of carbonates from the upper section of the Bayingebi Formation in the Yin’e Basin, revealing the association between lacustrine sedimentation and hydrothermal activity. According to mineralogical and geochemical evidence, the carbonates in the studied interval can be broadly classified into hydrothermal, hydrothermal-biogenic, and sedimentary types on the basis of their dominant genetic signatures. Hydrothermal carbonates are dominated by crystalline dolomite, with associated hydrothermal minerals rich in Fe, Ba, and Mg, while 87Sr/86Sr values are close to mantle source values, indicating substantial mantle hydrothermal fluid contributions. Hydrothermal-biogenic carbonates are dominated by mud-crystalline and spherical dolomite enriched in Mg, Na, and P. The 87Sr/86Sr values fall between the typical mantle-derived and paleolake water ranges, indicating a mixed hydrothermal signal, with possible microbial involvement indicated by mineralogical and textural features. Sedimentary carbonates are predominantly crystalline calcite, with 87Sr/86Sr values close to crustal source values, indicating the influence of terrestrial inputs. Moreover, there are significant relationships between different types of diagenetic carbonates and organic matter. Intense hydrothermal activity is associated with low TOC values and relatively unfavorable conditions for organic matter preservation. In contrast, sections with mild hydrothermal activity have higher TOC contents, and the nutrient contents and water temperatures are more conducive to enrichment with organic matter. Although based on a single fully cored borehole from the upper section of the Bayingebi Formation, this study provides a framework for understanding the coupling between carbonate diagenesis and organic matter enrichment in hydrothermally influenced lacustrine systems, with implications for future studies involving multi-core investigations across the basin.
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Background/Objective: Hand hygiene is a cornerstone of infection prevention; however, compliance is inconsistent in intensive care units (ICUs), particularly in resource-constrained settings. This study evaluated whether a low-cost, multimodal quality improvement intervention could improve process-level hand hygiene compliance using routine, episode-based audits embedded
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Background/Objective: Hand hygiene is a cornerstone of infection prevention; however, compliance is inconsistent in intensive care units (ICUs), particularly in resource-constrained settings. This study evaluated whether a low-cost, multimodal quality improvement intervention could improve process-level hand hygiene compliance using routine, episode-based audits embedded in the ICU practice. Methods: We conducted a single-cycle Plan-Do-Study-Act quality improvement project in a 12-bed mixed medical–surgical ICU in Pakistan (December 2023–January 2024). Hand hygiene performance was assessed using the unit’s routine weekly episode-based audit protocol, aligned with the WHO Five Moments framework. A targeted multimodal intervention comprising education, point-of-care visual reminders, audit feedback, and leadership engagement was implemented between the pre- and post-intervention phases (four weeks each). Non-applicable moments were scored as “compliant by default” according to the institutional protocol. A sensitivity analysis was performed excluding these moments to calculate pure adherence. Compliance proportions were summarized using exact 95% Clopper–Pearson confidence intervals without inferential testing. Results: A total of 942 audit episodes (471 per phase) generated 4710 moment-level assessments were generated. Composite hand hygiene compliance increased from 63.1% pre-intervention to 82.0% post-intervention [absolute increase: 18.9 percentage points (pp)]. Sensitivity analysis excluding non-applicable moments demonstrated pure adherence improvement from 54.2% to 82.5% (+28.3 pp), confirming a genuine behavioral change rather than a measurement artifact. Compliance improved across all five WHO moments, with the largest gains in awareness-dependent moments targeted by the intervention: before touching the patient (+27.0 pp) and after touching patient surroundings (+40.0 pp). Week-by-week compliance remained stable within both phases, without immediate post-intervention decay. Conclusions: A pragmatic, low-cost multimodal intervention embedded in routine ICU workflows was associated with substantial short-term improvements in hand hygiene compliance over a four-week observation period, particularly for awareness-dependent behaviors. Episode-based audit systems can support directional process monitoring in resource-limited critical care settings without the need for electronic surveillance. However, its long-term sustainability beyond one month and generalizability to other settings remain unknown. Sensitivity analyses are essential when using “compliant by default” scoring to distinguish adherence patterns from measurement artifacts.
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This article analyzes the long-term relationship between Islam and media in Indonesia through the lens of mediatization. While most research on the mediatization of religion is grounded in Western secular contexts, this study examines how the process unfolds in Indonesia, the world’s largest
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This article analyzes the long-term relationship between Islam and media in Indonesia through the lens of mediatization. While most research on the mediatization of religion is grounded in Western secular contexts, this study examines how the process unfolds in Indonesia, the world’s largest Muslim-majority country, whose religious life and cultural dynamics differ significantly from the Arab world. Using a historical approach, this study traces the evolution of Islamic media from the early twentieth century to the digital era, encompassing prints, broadcast programming, and social media platforms. The findings show that the interaction between Islam and media in Indonesia is a gradual, negotiated transformation shaped by political shifts, technological change, and evolving religious authority. Instead of producing secularization, successive media formats have enabled the continual rearticulation and popularization of Islamic values. New actors such as televangelists and digital preachers have emerged, challenging traditional authorities and prompting adaptations in religious practice to fit media formats and audience expectations. Although commercialization and algorithms sometimes result in a banalized expressions of religion, media developments also create new participatory spaces for religious engagement and personal piety. The study offers a non-Western model of mediatization grounded in Indonesia’s unique media and religious landscape.
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Renata Kołodziejska, Hanna Pawluk, Agnieszka Tafelska-Kaczmarek, Mateusz Pawluk, Krzysztof Koper, Antoni Godlewski, Julia Kuk, Krzysztof Sergot, Natalia Kurhaluk and Alina Woźniak
Int. J. Mol. Sci.2026, 27(3), 1424; https://doi.org/10.3390/ijms27031424 (registering DOI) - 30 Jan 2026
Ischemic stroke accounts for approximately 80–85% of all stroke cases and triggers a complex cascade of metabolic, immunological, and neurodegenerative processes. Among the key mediators involved, TNF-α occupies a central position due to its distinctly dual and phase-dependent actions. Importantly, the biological effects
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Ischemic stroke accounts for approximately 80–85% of all stroke cases and triggers a complex cascade of metabolic, immunological, and neurodegenerative processes. Among the key mediators involved, TNF-α occupies a central position due to its distinctly dual and phase-dependent actions. Importantly, the biological effects of TNF-α are not static but evolve dynamically over time following ischemic insult. During the acute phase of ischemia, a rapid increase in TNF-α levels, primarily originating from activated microglia, leads to the predominant activation of the TNFR1 receptor. This results in enhanced apoptosis and necroptosis, disruption of the blood–brain barrier, increased leukocyte recruitment, and the progression of secondary neuronal injury. In later phases, the role of TNF-α shifts, with signaling through TNFR2 becoming more prominent, thereby supporting reparative mechanisms, including neurogenesis, angiogenesis, and synaptic remodeling. The dual nature of TNF-α means that both its excessive activation and complete inhibition may produce detrimental effects. Notably, the therapeutic relevance of TNF-α critically depends on the timing of intervention relative to stroke onset. A comprehensive analysis of current evidence underscores the central, temporally and contextually dependent role of TNF-α in the pathophysiology of ischemic stroke. It also indicates that future therapeutic strategies should aim to selectively suppress the harmful TNFR1-mediated signaling while preserving or enhancing TNFR2-dependent neuroprotective pathways. Such time-sensitive and receptor-selective modulation holds promise for limiting acute ischemic injury and promoting endogenous repair processes, representing a compelling direction for the development of next-generation neuroprotective therapies.
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Background/Objectives: Chronic inflammation and oxidative stress are key contributors to colorectal cancer (CRC) development. However, prospective evidence in Asian populations remains limited. This study aimed to investigate the associations between circulating inflammatory cytokines, oxidative markers, and CRC risk in a Korean population.
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Background/Objectives: Chronic inflammation and oxidative stress are key contributors to colorectal cancer (CRC) development. However, prospective evidence in Asian populations remains limited. This study aimed to investigate the associations between circulating inflammatory cytokines, oxidative markers, and CRC risk in a Korean population. Methods: We conducted a case–cohort study nested within the Korean National Cancer Community (KNCCC) Cohort to investigate associations between inflammatory cytokines, oxidative stress markers, and CRC risk. A total of 128 incident CRC cases and 822 subcohort participants were included. Serum levels of interleukin (IL)-6, tumor necrosis factor-α (TNF-α), IL-1β, interferon-γ (IFN-γ), IL-10, reactive oxygen species (ROS), and nitric oxide (NO) were measured. Hazard ratios (HRs) were estimated using the Cox proportional hazards models with Barlow’s weighting. Results: Higher serum IL-6 levels were strongly associated with increased CRC risk, with HRs of 6.20 (95% CI: 2.38–16.19), 8.31 (3.24–21.33), and 10.22 (3.95–26.46) for the second through fourth quartiles, compared to the lowest. Detectable levels of IL-1β and IFN-γ were also significantly associated with CRC risk (HRs: 2.16 and 1.53, respectively). Stratified analysis showed that IL-6 and IL-1β were associated with CRC risk in both obese and non-obese participants, while TNF-α, IL-10, and NO were associated with increased risk only among obese individuals. No significant associations were observed for ROS. Conclusions: Elevated levels of inflammatory cytokines (IL-6, IL-1β, IFN-γ) and NO were associated with higher CRC risk, suggesting their potential as early biomarkers. Obesity may modify the associations between certain markers and CRC risk. These findings highlight the role of systemic inflammation and oxidative stress in colorectal carcinogenesis.
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