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59 pages, 7081 KB

Open AccessArticle

ICDL-Agent: A Tool-Augmented LLM Agent for Automatic Instrument Workflows in Incoherent Doppler LiDAR Analysis

by Jiawei Li, Yuli Han, Chong Chen, Tingdi Chen, Xianghui Xue, Liangyu Pu, Zhaowang Su, Hengjia Liu, Shuhua Zhang, Jing Yang and Dongsong Sun

ISPRS Int. J. Geo-Inf. 2026, 15(6), 238; https://doi.org/10.3390/ijgi15060238 (registering DOI) - 26 May 2026

Abstract

Large language models (LLMs) offer new possibilities for natural-language interaction with geospatial analysis systems, but their use in remote sensing instrument data analysis remains limited by weak execution control, poor reproducibility, and limited integration with domain-specific computation. The paper presents an agent for [...] Read more.

Large language models (LLMs) offer new possibilities for natural-language interaction with geospatial analysis systems, but their use in remote sensing instrument data analysis remains limited by weak execution control, poor reproducibility, and limited integration with domain-specific computation. The paper presents an agent for Incoherent Doppler wind LiDAR (ICDL) data analysis, named ICDL-Agent, a tool-augmented LLM framework for remote sensing instrument workflows. The system maps conversational user requests to executable analysis pipelines for wind retrieval, uncertainty estimation, visualization, and higher-level diagnostics through structured planning over a registry of domain-specific tools. To improve execution reliability, the system combines schema-constrained workflow generation, shared-state reuse of intermediate scientific products, and validation with bounded repair. In addition to supporting routine LiDAR processing, the framework can generate new tools when required and adapt to related analytical tasks through domain-aware guidance and procedural documentation. We evaluate the system on multiple atmospheric wind-observation datasets in China and show that it faithfully reproduces the refined Doppler wind-retrieval pipeline, achieving representative R²/MAE values of 0.52/3.73 m/s against ERA5 and 0.80/2.31 m/s against radiosonde observations, while supporting downstream analyses such as profile comparison, climatological interpretation, and gravity-wave diagnostics. More broadly, this study demonstrates how constrained LLM orchestration can support LiDAR researchers, remote-sensing instrument teams, and geospatial analysts seeking transparent, reproducible, and automated scientific data-processing workflows. Full article

(This article belongs to the Special Issue LLM4GIS: Large Language Models for GIS)

19 pages, 1427 KB

Open AccessArticle

Pollen Analysis of Bees’ Crop Nectar as an Effective Method to Determine Nectar Sources: Comparison with Traditional Approaches

by Nandita Das, Rajib Mondal, Ujjwal Layek and Prakash Karmakar

Appl. Biosci. 2026, 5(2), 42; https://doi.org/10.3390/applbiosci5020042 (registering DOI) - 26 May 2026

Abstract

Identifying the nectar sources of stingless bees is essential for understanding plant–pollinator interactions and for promoting sustainable meliponiculture. Traditionally, this has been achieved through melissopalynological analysis of honey; however, this approach has certain limitations. Here, we aimed to evaluate whether pollen analysis of [...] Read more.

Identifying the nectar sources of stingless bees is essential for understanding plant–pollinator interactions and for promoting sustainable meliponiculture. Traditionally, this has been achieved through melissopalynological analysis of honey; however, this approach has certain limitations. Here, we aimed to evaluate whether pollen analysis of bee crop nectar can reliably identify nectar sources for stingless bees. We conducted palynological analyses of honey samples (n = 12) and crop nectar samples (n = 757, considering individual foragers), and conducted field surveys to determine nectar sources for the stingless bee Tetragonula pagdeni in West Bengal, India. From the honey analysis, 42 pollen types were identified, with Eucalyptus tereticornis as the predominant pollen type. In contrast, 67 pollen types were recorded from the crop nectar samples. The most frequently occurring pollen types were Acacia auriculiformis, Borassus flabellifer, Eucalyptus tereticornis, Peltophorum pterocarpum, Tridax procumbens, and Ziziphus mauritiana. Through field surveys, 73 plant species were identified as nectar sources. By integrating these methods, 85 plant species were recognised as nectar sources for stingless bees. The findings indicate that palynological analysis of bees’ crop nectar is an effective method for identifying the nectar sources of a bee species. Furthermore, combining palynological analysis of crop nectar with melissopalynological analysis of honey provides a more comprehensive and potentially more accurate assessment of nectar sources than reliance on honey analysis alone. Full article

34 pages, 10700 KB

Open AccessArticle

Heat Propagation Through Fins Made of Polymeric Materials Manufactured by 3D Printing

by Florin Negoescu, Vasile Merticaru, Andrei Marius Mihalache, Vasile Ermolai, Oana Dodun, Nicolae-Răzvan Mititelu, Gheorghe Nagîț, Marius-Ionuț Rîpanu, Adelina Hrițuc and Laurențiu Slătineanu

Polymers 2026, 18(11), 1315; https://doi.org/10.3390/polym18111315 (registering DOI) - 26 May 2026

Abstract

To investigate simultaneously both the effect of fin cross-sectional shape on heat transfer and the influence of different polymeric materials, test samples were manufactured by 3D printing in the form of bushings with attached radial fins of varying cross-sections. Through the research undertaken, [...] Read more.

To investigate simultaneously both the effect of fin cross-sectional shape on heat transfer and the influence of different polymeric materials, test samples were manufactured by 3D printing in the form of bushings with attached radial fins of varying cross-sections. Through the research undertaken, the aim was to obtain information regarding the length of the fin at which a certain temperature is reached; therefore, the length that ensures efficient heat transfer to the external environment. Dedicated testing equipment was designed and built to test the thermal transfer in fins made of three different materials (polylactic acid (PLA)-based materials, i.e., standard PLA, PLA with carbon black (protopasta), and PLA with graphene (prografen)) and, respectively, with different sizes and shapes of the cross-section (circular, square, equilateral triangular, and rectangular). The experimental results were mathematically processed to develop empirical models that illustrate both the direction and the intensity of the influence of the input factors on the fin length at which a specific temperature is reached. Under certain conditions, radial components with a circular cross-sectional area of 20 mm² showed significant differences depending on the polymer type. For the polylactic acid material, this length was 42% higher than for prografen and 25% higher than for protopasta. Full article

(This article belongs to the Section Polymer Processing and Engineering)

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16 pages, 2921 KB

Open AccessArticle

Characterization of Novel Lachancea thermotolerans Strains for Application in Table Olive Fermentation

by Patricia Gil-Flores, David Penco-Parra and Joaquín Bautista-Gallego

Foods 2026, 15(11), 1883; https://doi.org/10.3390/foods15111883 (registering DOI) - 26 May 2026

Abstract

Lachancea thermotolerans is a non-Saccharomyces yeast characterized by its biotechnological potential, due, among other reasons, to its capacity to produce L-lactic acid and its impact on the organoleptic profiles of final fermented products. While its traits have been widely studied in fermented [...] Read more.

Lachancea thermotolerans is a non-Saccharomyces yeast characterized by its biotechnological potential, due, among other reasons, to its capacity to produce L-lactic acid and its impact on the organoleptic profiles of final fermented products. While its traits have been widely studied in fermented beverages and vinification, its potential use in other fermented foods, such as table olives, has been poorly studied. For this reason, the characterization and laboratory screening of Lachancea thermotolerans strains were performed in the present study. In this context, the potential use of forty L. thermotolerans strains in Spanish-style table olives was discussed based on pH and salt concentration tolerance, two key stress factors in the production process. Furthermore, the effect of oleuropein—the most abundant polyphenol in raw drupes—on L-lactic acid production was described to better understand and predict the behavior of L. thermotolerans under real conditions. In addition to stress resistance and L-lactic acid production, the suitability of the strains was assessed through their resistance to cycloheximide and copper, key indicators of tolerance to antimicrobial agents and agricultural residues. Finally, Principal Component Analysis of mixed data (PCAmix) and Hierarchical Clustering on Principal Components (HCPC) were performed to stratify and describe the intraspecific variability of this species, leading to the preselection of fifteen promising L. thermotolerans strains for use as starter cultures in Spanish-style table olive elaboration. Full article

(This article belongs to the Special Issue Microorganisms in Fermented Foods: Diversity, Function, and Safety)

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30 pages, 1509 KB

Open AccessReview

End-Effector Technologies for Fruit Harvesting Robots: A Review of Structures, Actuation, and Field Deployability

by Senming Zhong, Chen Shu, Liancai Shen, Zhangjun Wu, Minglong Xue, Xiaojun Wang and Weiwei Zhu

Sensors 2026, 26(11), 3382; https://doi.org/10.3390/s26113382 (registering DOI) - 26 May 2026

Abstract

This review summarizes the research on the end effectors of agricultural harvesting robots (2010–2025) and extracts two core design principles. First of all, the selection of end effectors must follow the biological characteristics of fruits: rigid grippers are suitable for hard skinned and [...] Read more.

This review summarizes the research on the end effectors of agricultural harvesting robots (2010–2025) and extracts two core design principles. First of all, the selection of end effectors must follow the biological characteristics of fruits: rigid grippers are suitable for hard skinned and regular fruits; soft grippers can reduce the damage of fragile crops to a certain extent; suction cups are suitable for smooth, barrier free surfaces; the envelope type is suitable for soft and lossless picking scenes; the combined suction and grip design is more suitable for unstructured environments. Secondly, the separation mode should match the characteristics of the stem: motion separation (torsion/pull) is suitable for weak stems, while cutting is mainly used for hard stems. Unlike previous literature, this review provides a field deployability checklist (including dust/water proofing, cleanliness, maintenance, aging prevention, and aspiration prevention) to narrow the results of the laboratory and the real field environment. The three future directions of multimodal perception, variable stiffness driving and reinforcement learning are logically related to the analysis in this paper: multimodal perception optimizes the perception limit, variable stiffness solves the rigid–flexible trade-off, and reinforcement learning provides adaptive strategies for different crops. This framework can match the end effector design with the crop-specific field conditions. Full article

(This article belongs to the Section Smart Agriculture)

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12 pages, 3198 KB

Open AccessArticle

First Report of Leaf Spot of Spinacia oleracea Caused by Alternaria burnsii: Aerobiological Implications and Enzymatic Virulence Factor

by Tayyaba Afzal and Roshaan Ahmed

Aerobiology 2026, 4(2), 11; https://doi.org/10.3390/aerobiology4020011 (registering DOI) - 26 May 2026

Abstract

Spinacia oleracea L. cultivation in South Asia is severely compromised by leaf spot disease caused by fungal plant pathogens, resulting in significant yield and quality losses. In this study, we report the first molecularly confirmed case of an Alternaria burnsii leaf spot on [...] Read more.

Spinacia oleracea L. cultivation in South Asia is severely compromised by leaf spot disease caused by fungal plant pathogens, resulting in significant yield and quality losses. In this study, we report the first molecularly confirmed case of an Alternaria burnsii leaf spot on S. oleracea in Pakistan. Symptomatic S. oleracea leaves exhibiting necrotic lesions with concentric rings were collected during a field survey across Bahawalpur district, Punjab, Pakistan in 2024. After isolation, purification and morphological identification it was identified that it belongs to the Alternaria genus. For the confirmation of species, molecular identification was performed; using the ITS and GAPDH primer revealed that the fungal plant pathogen causing leaf spot of S. oleracea is A. burnsii which was also confirmed by phylogenetic analysis. Koch’s postulates were carried out to confirm pathogenicity on detached leaf assays. To assess the virulence of A. burnsii enzymatic analysis was performed. Notably, enzymatic virulence profiling demonstrated a markedly increased production of polygalacturonase (PG: 16.0 ± 0.8 AU), pectin lyase (PNL: 12.0 ± 0.6 AU) and cellulase (CL: 14.0 ± 0.7 AU) relative to controls (all p < 0.001; LSD = 0.16), with PG having the greatest relative increase. This report expands the known host range for A. burnsii and highlights its two-fold threat: as a bioaerosol disseminable by wind and an enzymatic pathogen. These findings highlight the urgent need for integrated disease management strategies for suppressing leaf spot disease in S. oleracea agroecosystems. Full article

(This article belongs to the Special Issue Airborne Biological Particles: Characterization, Monitoring, and Health Relevance)

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12 pages, 733 KB

Open AccessArticle

Evaluation of Hand Hygiene Technique in Uzbekistan: First Experience from Semmelweis Scanner-Based Digital Assessment in Educational Institutions

by Shavkat Azimov, Peter Szeremy, Sherzod Nematov, Jamoliddin Razzokov, Temurbek Daminov, Durdona Rasulova and Tamás Haidegger

Healthcare 2026, 14(11), 1474; https://doi.org/10.3390/healthcare14111474 (registering DOI) - 26 May 2026

Abstract

Background: Hand Hygiene (HH) plays a crucial role in preventing Hospital-Acquired Infections (HAIs), yet compliance and technique often remain inadequate. To our knowledge, this study is among the first large-scale Semmelweis Scanner-based evaluations of hand hygiene technique among both medical and non-medical students [...] Read more.

Background: Hand Hygiene (HH) plays a crucial role in preventing Hospital-Acquired Infections (HAIs), yet compliance and technique often remain inadequate. To our knowledge, this study is among the first large-scale Semmelweis Scanner-based evaluations of hand hygiene technique among both medical and non-medical students in Uzbekistan and the wider Central Asian region. Methods: A cross-sectional study was conducted between March 2024 and July 2025 at the Tashkent Medical Academy and the Tashkent State Technical University, resulting in 4191 data scans and 16,764 pictures analyzed. Hand surface coverage was evaluated using the Semmelweis digital monitoring system, which provides image-based feedback on insufficiently covered areas. Adequate performance was defined as achieving at least 95% hand surface coverage. Results: The findings showed that only 43.4% of hand hygiene measurements achieved the ≥95% hand coverage threshold, while 56.6% showed incomplete coverage. The sixth WHO-recommended step, i.e., rotational rubbing of the thumb and fingertips was identified as the most frequently missed moment. Significant variation was observed across faculties and departments, with bachelors achieving the highest success (n = 1012, 51.8%) and Ph.D. students reaching the lowest (18.4%). Conclusions: Hand hygiene technique among students in Uzbekistan is highly variable and frequently inadequate when evaluated using scanner-based digital assessment. The findings suggest that incomplete hand surface coverage, rather than the absence of sanitization attempts, is the principal challenge. Digital hand hygiene monitoring systems can provide an effective complementary tool for technique-focused education and can support infection prevention practices in both medical and non-medical training environments. Full article

(This article belongs to the Section Public Health and Preventive Medicine)

36 pages, 1933 KB

Open AccessArticle

Populus nigra Bud Extract as a Standardized Alternative to Propolis: Evidence of Compositional Similarity—Functional Properties of an Oral Spray Containing Populus nigra Bud Extract

by Luisa Mattoli, Andrea Lugli, Michela Burico, Giada Fodaroni, Denise Decarli, Mattia Gianni, Anna Maidecchi, Giulia Antonini, Silvia Tondi, Anna Gaetano, Valentina Fiordelli, Rita Pagiotti, Jacopo Lucci, Claudio Buttarini, Stefano Garetto, Raffaele Saladino, Donatella Pietrella, Valentina Mercati and Emiliano Giovagnoni

Molecules 2026, 31(11), 1836; https://doi.org/10.3390/molecules31111836 (registering DOI) - 26 May 2026

Abstract

Populus nigra buds contain resinous exudates rich in flavonoids, phenolic acids, terpenoids and other bioactive constituents. These exudates are the main botanical source of European Poplar-type propolis. Since hive-collected propolis shows strong botanical, geographical and hive contaminant variability, P. nigra bud resin exudate [...] Read more.

Populus nigra buds contain resinous exudates rich in flavonoids, phenolic acids, terpenoids and other bioactive constituents. These exudates are the main botanical source of European Poplar-type propolis. Since hive-collected propolis shows strong botanical, geographical and hive contaminant variability, P. nigra bud resin exudate represents an attractive, standardizable and reproducible alternative for obtaining natural-complex ingredients. This study investigates the compositional relationship between Propolgemma^® standardized P. nigra buds (PBHE) and European propolis (PHE) hydroalcoholic extracts through integrated analytical approaches and evaluates the functional bioactivity of PBHE and a related oral spray formulation (Propolgemma^® spray forte, PBHE-SF). Untargeted metabolomic fingerprinting revealed clear clustering of P. nigra bud exudate with European propolis, demonstrating high compositional similarity. Targeted analyses confirmed that PBHE belongs to the poplar-type propolis family, while retaining additional bud-derived constituents such as salicylates, lignins and tannins, typical of bud tissue and largely absent from hive-collected propolis. Functionally, PBHE showed concentration-dependent antioxidant activity and significant inhibition of Streptococcus pyogenes biofilm at sub-MIC levels. PBHE, incorporated into a patented oral spray formulation (PBHE-SF), demonstrated strong mucoadhesion, high resistance to salivary wash-off, retention of antioxidant flavonoids on epithelial substrates and a mechanical barrier effect, reducing LPS-induced IL-6 release by 39%. It also showed dispersion of pre-formed S. pyogenes biofilms. PBHE emerges as a reproducible, plant-derived, bee-independent alternative to European propolis. Its chemical consistency, functional reliability, independence from bee foraging and from hive-derived contaminants improve the therapeutic potential on mucosal protection in medical device formulations and the suitability for scalable, controlled and industrially sustainable production. Full article

(This article belongs to the Special Issue 30th Anniversary of Molecules—Recent Advances in Bioorganic Chemistry)

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22 pages, 10893 KB

Open AccessArticle

Direct Measurement of Energy Dissipation in Nanoscale Tribomechanical Interfaces: Dissipative Transfer Steady State

by Dinh Dat Pham, Yuichi Otsuka and Yukio Miyashita

Materials 2026, 19(11), 2258; https://doi.org/10.3390/ma19112258 (registering DOI) - 26 May 2026

Abstract

This study examines the development of a steady state in the cyclic wear process for various combinations of metallic and inorganic materials. Energy dissipation is widely acknowledged as a significant parameter in wear mechanisms. However, at the nanoscale, the linear correlation between energy [...] Read more.

This study examines the development of a steady state in the cyclic wear process for various combinations of metallic and inorganic materials. Energy dissipation is widely acknowledged as a significant parameter in wear mechanisms. However, at the nanoscale, the linear correlation between energy dissipation and wear progression is not consistently applicable. In this study, experimental observations of cyclic wear between scanning probe microscopy (SPM) cantilevers and substrate displacement were conducted. Substrate vibrations were monitored using a laser Doppler vibrometer, which facilitated the direct estimation of energy dissipation at nanocontacts during cyclic loading. The wear rates of the substrates decreased with an increase in the number of cyclic loadings, indicating the formation of a transfer steady state at the interface. Symmetric contact mode, based on the viscoelastic behavior of the contact, and asymmetric mode, based on adhesion between the interfaces, are commonly observed. The asymmetric mode evolved in the later stages of cyclic wear, suggesting the transfer of the steady state between the interfaces. A linear relationship between energy dissipation and wear rates was still observed for metallic substrates, whereas a steady state was observed for inorganic materials. This difference can be attributed to material exchange at the interfaces. Full article

(This article belongs to the Special Issue Corrosion and Materials in Interacting Systems)

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18 pages, 296 KB

Open AccessArticle

Immunonutritional Indices, Inflammatory Markers, and Thyroid-Related Parameters in Adults with Hashimoto’s Thyroiditis

by Hulya Yilmaz Onal, Songul Aktas, Aysun Yuksel, Tutku Tuncalı Yaman, Ozcan Keskin and Hafize Uzun

Nutrients 2026, 18(11), 1698; https://doi.org/10.3390/nu18111698 (registering DOI) - 26 May 2026

Abstract

Background: Hashimoto’s thyroiditis (HT) is a chronic autoimmune disorder characterized not only by thyroid dysfunction but also by metabolic disturbances, micronutrient inadequacies, and low-grade inflammation. Composite indices derived from routine laboratory parameters may therefore help capture the broader systemic profile of the disease. [...] Read more.

Background: Hashimoto’s thyroiditis (HT) is a chronic autoimmune disorder characterized not only by thyroid dysfunction but also by metabolic disturbances, micronutrient inadequacies, and low-grade inflammation. Composite indices derived from routine laboratory parameters may therefore help capture the broader systemic profile of the disease. This study explored within-cohort associations of immunonutritional indices including the Prognostic Nutritional Index (PNI), Nutritional Risk Index (NRI), and Controlling Nutritional Status (CONUT), and hemogram-derived inflammatory markers including the Neutrophil-to-Lymphocyte Ratio (NLR), Monocyte-to-Lymphocyte Ratio (MLR), Platelet-to-Lymphocyte Ratio (PLR), and Systemic Immune-Inflammation Index (SII), with thyroid function, thyroid autoimmunity, metabolic characteristics, disease duration, and vitamin D status in adults with Hashimoto’s thyroiditis. Methods: This cross-sectional study included 229 adults diagnosed with HT. PNI, NRI, CONUT, and complete blood count-derived inflammatory markers were evaluated in relation to thyroid function, thyroid autoimmunity, disease duration, metabolic characteristics, and vitamin D status. Because most variables were not normally distributed, the main analyses were conducted using non-parametric tests. Correlations were evaluated using Spearman’s rank correlation coefficients. Exploratory regression models were estimated using HC3 heteroscedasticity-consistent robust standard errors, and CRP-based sensitivity analyses were performed by excluding participants with CRP > 10 mg/L. Results: Vitamin D deficiency was highly prevalent and affected 70.3% of the participants. Among the immunonutritional indices, NRI differed significantly according to BMI category and HOMA-defined insulin resistance (both p < 0.001), indicating a closer relationship with metabolic burden. PNI was associated with disease duration (p = 0.009), whereas the inflammatory indices were largely similar across the clinical groupings examined. In exploratory robust regression models, the explanatory power remained modest (R² = 0.066–0.171). PLR showed the most consistent index-related association with TSH, whereas the CONUT–FT3 association observed in the full-sample robust model was not retained after CRP-based sensitivity analysis. Conclusions: Adults with HT in this study showed frequent vitamin D deficiency together with a substantial burden of excess weight and insulin resistance. Routine immunonutritional and inflammatory indices may provide supportive information on within-cohort biochemical and metabolic heterogeneity, but they should not be interpreted as stand-alone diagnostic or prognostic markers. In particular, NRI appeared to reflect metabolic and adiposity-related burden more than nutritional risk alone, while PLR showed the most internally consistent index-related association with TSH. Full article

(This article belongs to the Section Nutritional Immunology)

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14 pages, 821 KB

Open AccessArticle

Machine Learning-Based Support for Monitor Unit and Lung Shielding Estimation in Conventional Total Body Irradiation

by Christian Fiandra, Francesca Romana Giglioli, Elena Gallio, Veronica Richetto, Paola Trevisiol, Matteo Carvutto, Erica Maria Cuffini, Chiara Cavallin, Umberto Ricardi and Mario Levis

Cancers 2026, 18(11), 1740; https://doi.org/10.3390/cancers18111740 (registering DOI) - 26 May 2026

Abstract

Background/Objectives: Total body irradiation (TBI) is widely used in conditioning regimens before hematopoietic stem cell transplantation. In conventional opposed-field TBI, monitor unit (MU) calculation and lung shielding definition are often based on manual procedures that may introduce operator-dependent variability. This study aimed to [...] Read more.

Background/Objectives: Total body irradiation (TBI) is widely used in conditioning regimens before hematopoietic stem cell transplantation. In conventional opposed-field TBI, monitor unit (MU) calculation and lung shielding definition are often based on manual procedures that may introduce operator-dependent variability. This study aimed to develop machine learning (ML) models to support the prediction of these treatment parameters using routinely available clinical and imaging data. Methods: A retrospective analysis was performed on 80 patients treated with conventional opposed-field TBI. Clinical, geometric, and CT-derived variables were used to train regression models for MU prediction. Feature selection was performed using LASSO regression, followed by Ridge regression for final modeling. Lung shielding thickness prediction was developed using planning CT data from 66 patients through recursive feature elimination and Random Forest regression. Model performance was assessed using nested 5-fold cross-validation and mean absolute error (MAE). Results: The final Ridge model achieved an MAE of 74.0 ± 6.9 MU, improving compared with the full-feature model 115.6 ± 44.0 MU. The Random Forest benchmark achieved an MAE of 81.1 ± 10.3 MU. For lung shielding thickness prediction (6–9 mm), the Random Forest model achieved an MAE of 0.60 mm. Prediction uncertainties were consistent with clinically accepted in vivo dosimetric tolerances. Conclusions: ML-based models can support the estimation of key TBI treatment parameters, potentially improving workflow efficiency and reducing operator-dependent variability while complementing standard treatment planning and verification procedures. Full article

(This article belongs to the Special Issue AI-Enhanced Radiotherapy in Oncology: Optimization from Planning to Clinical Impact)

18 pages, 468 KB

Open AccessArticle

Burn Injuries at Jordan University Hospital: A Five-Year Retrospective Study with Historical Comparison

by Bareqa Salah, Mohammad Al-Hanaktah, Ehab Alroud, Omar Awadallah, Mahmoud Shehabat and Ahmad AL-Qunbar

Healthcare 2026, 14(11), 1473; https://doi.org/10.3390/healthcare14111473 (registering DOI) - 26 May 2026

Abstract

Background: Burn injuries remain a major health problem in low- and middle-income countries. Contemporary data from Jordan are scarce, and the last report from Jordan University Hospital (JUH) was published more than four decades ago. This study describes the epidemiology, characteristics, management, [...] Read more.

Background: Burn injuries remain a major health problem in low- and middle-income countries. Contemporary data from Jordan are scarce, and the last report from Jordan University Hospital (JUH) was published more than four decades ago. This study describes the epidemiology, characteristics, management, and outcomes of burn admissions to JUH during 2016–2020 and compares them with historical and regional data. Methods: We conducted a retrospective cohort study of all consecutive patients admitted to the JUH burn unit with acute burn injury between 1 January 2016 and 31 December 2020. Demographic and clinical variables were abstracted from electronic and paper records using a standardised case-report form. Descriptive statistics summarised injury patterns, while bivariate tests and multivariable linear regression were used to identify factors associated with hospital length of stay (LOS). Results: A total of 575 patients were included (50.3% male; median age 19 years). Children constituted 43.5% of admissions. Median TBSA was 7%, and partial-thickness burns predominated (73.9%). Scalds were the leading aetiology (60.7%), followed by flame burns (19.5%). Most injuries occurred at home (92.5%). The median LOS was 6 days, and 2.1% of patients died. Burn degree, aetiology, TBSA, surgical grafting, and adverse clinical events were independently associated with longer LOS, whereas escharectomy shortened hospitalisation. Conclusions: Domestic scald injuries in children remain the dominant burn pattern in Jordan, although mortality has fallen markedly compared with the 1980 JUH cohort. Prevention efforts should prioritise household safety and child supervision, while continued investment in specialised burn care is likely to further improve outcomes. Full article

24 pages, 6611 KB

Open AccessArticle

Biological Interactions in Rat Tibial Osteogenesis: Micro-CT, Histomorphometric, and Histological Analyses of Bioglass, Fibrin Biopolymer, and Photobiomodulation

by Lívia Maluf Menegazzo Bueno, Livia Cristina Dias, Ana Carolina Cestari Bighetti, Camila Pascoal Correia dos Santos, Benedito Barraviera, Rui Seabra Ferreira Júnior, Murilo Priori Alcalde, Marco Antonio Hungaro Duarte, Carlos Henrique Bertoni Reis, Daniela Vieira Buchaim and Rogerio Leone Buchaim

Biomolecules 2026, 16(6), 783; https://doi.org/10.3390/biom16060783 (registering DOI) - 26 May 2026

Abstract

The study evaluated bone repair in tibial defects of Wistar rats treated with 45S5 bioactive glass, either alone or combined with lyophilized heterologous fibrin biopolymer (HFB) and/or photobiomodulation therapy (PBM). Thirty-five animals were randomly assigned to five groups: control (CG), Bioactive glass (BG), [...] Read more.

The study evaluated bone repair in tibial defects of Wistar rats treated with 45S5 bioactive glass, either alone or combined with lyophilized heterologous fibrin biopolymer (HFB) and/or photobiomodulation therapy (PBM). Thirty-five animals were randomly assigned to five groups: control (CG), Bioactive glass (BG), Bioactive glass + HFB (BFG), Bioactive glass + PBM (BPG), and Bioactive glass + HFB + PBM (BFPG). After 42 days, the samples were analyzed by micro-computed tomography, histology (Hematoxylin–Eosin, Masson’s Trichrome, and Picrosirius Red), and histomorphometry. Histological and micro-CT findings demonstrated improved defect closure and better matrix organization in the BG and BFG groups. Histomorphometric analysis revealed significant differences among the groups (ANOVA, p < 0.0001), with the BG group showing the highest percentage of new bone formation (40.35 ± 4.14%), significantly higher than the BPG and BFPG groups. The addition of HFB did not impair bone repair and yielded intermediate results, whereas PBM did not demonstrate a positive effect on bone regeneration at the 42-day time point under the parameters used in this study. It can be concluded that bioactive glass, especially when used alone or in combination with heterologous fibrin biopolymer, promoted superior bone regeneration, while its association with photobiomodulation did not demonstrate additional benefit at 42 days. Full article

(This article belongs to the Special Issue Molecular Mechanisms and Therapeutic Innovations in Musculoskeletal Disorders)

17 pages, 2943 KB

Open AccessArticle

A Pediatric Case of Rapidly Progressing Disseminated Human Adenovirus C1 Infection with Multiorgan Failure and Evidence of Intra-Host Variation

by William Otto, Lindsey Rickerman, Maria Deza Leon, Felicia Scaggs Huang, Krithivasan Sankaranarayanan, Christopher Dandoy, Daryl M. Lamson and Adriana E. Kajon

Viruses 2026, 18(6), 607; https://doi.org/10.3390/v18060607 (registering DOI) - 26 May 2026

Abstract

A strain of human adenovirus type C1 was isolated from multiple anatomical compartments in a pediatric patient with late-onset Pompe disease. Over a period of 23 days from the appearance of fever and respiratory symptoms until death, disease progression was rapid with severe [...] Read more.

A strain of human adenovirus type C1 was isolated from multiple anatomical compartments in a pediatric patient with late-onset Pompe disease. Over a period of 23 days from the appearance of fever and respiratory symptoms until death, disease progression was rapid with severe disseminated disease and complications that included respiratory distress, liver failure, cardiac dysfunction, and hemophagocytic lymphohistiocytosis. Detected viral DNAemia peaked at log₁₀ 9.52 copies/mL on the last hospitalization day. Next-generation whole-genome sequencing with depth > 2700 reads/position identified the virus as closely related to the prototype strain Adenoid 71 isolated in the US in 1953, and to strains circulating worldwide in recent years. Sequence data analysis revealed the presence of intra-host single nucleotide variants (iSNV) at low frequency in the isolates recovered from a nasopharyngeal swab, blood, urine, and stool specimens obtained during the last three days of life and from lung, liver, and kidney tissue obtained at autopsy. Evidence of iSNVs was found in only three coding regions (E1A, DNA polymerase, and pVII). Different variant combinations were found in different anatomical compartments. The contribution of intrahost genetic diversity to HAdV-associated disease development and progression warrants investigation. Full article

(This article belongs to the Special Issue Human Adenovirus (HAdV) Infection in Children)

18 pages, 8021 KB

Open AccessArticle

Phase-Dependent MoS₂ Nanosheets-Embedded Urinary Catheter for Advanced Photothermal Sterilization

by Muhammad Saukani, Chien-Hung Lai, Dyah Ika Krisnawati, Hsiu-Yi Chu, Andy C. Huang and Tsung-Rong Kuo

Int. J. Mol. Sci. 2026, 27(11), 4806; https://doi.org/10.3390/ijms27114806 (registering DOI) - 26 May 2026

Abstract

The high prevalence of catheter-associated urinary tract infections (CAUTIs) has become a significant concern in the healthcare system, prompting the development of antibacterial urinary catheters to effectively prevent these infections in clinical settings. In this work, metallic phase and semiconducting phase molybdenum disulfide [...] Read more.

The high prevalence of catheter-associated urinary tract infections (CAUTIs) has become a significant concern in the healthcare system, prompting the development of antibacterial urinary catheters to effectively prevent these infections in clinical settings. In this work, metallic phase and semiconducting phase molybdenum disulfide (MoS₂) embedded polydimethylsiloxane (PDMS) were developed as antibacterial urinary catheters with photothermal sterilization. The metallic phase MoS₂ (1T-MoS₂) was synthesized using a facile hydrothermal method, and an annealing process transformed it into the semiconducting phase (2H-MoS₂). The optical and structural characterizations confirmed the successful preparations of 1T-MoS₂ nanosheets (1T-MoS₂ NSs) and 2H-MoS₂ NSs. The increase in the contents of 1T-MoS₂ NSs and 2H-MoS₂ NSs in PDMS resulted in enhanced photothermal conversion, a slight decrease in the water contact angle, and no significant changes in the mechanical properties of the samples. The bacterial growth curves demonstrated the remarkable ability of phase-dependent 1T- and 2H-MoS₂ NSs-embedded PDMS urinary catheters to inhibit the growth of E. coli and S. aureus with near-infrared (NIR) laser irradiation. In the agar plate test, exposing PDMS with 0.3% 1T-MoS₂ or 2H-MoS₂ to NIR for 10 min demonstrated excellent antibacterial effects, completely eradicating E. coli and eliminating over 99.9% of S. aureus. The SEM image results highlighted the significant photothermal antibacterial effect of 1T-MoS₂ PDMS and 2H-MoS₂ PDMS urinary catheters, effectively damaging and eradicating both E. coli and S. aureus. The 1T-MoS₂ PDMS and 2H-MoS₂ PDMS urinary catheters, with excellent photothermal effects, good hydrophobicity, and superior mechanical properties, demonstrated their potential as photothermal antibacterial catheters for clinical applications. Full article

(This article belongs to the Section Molecular Nanoscience)

49 pages, 10038 KB

Open AccessReview

Advanced Electrode Materials for Water Electrolysis: Design Principles, Performance Trade-Offs, and Technology Pathways Across ALK, PEM, SOEC, and AEM Systems

by Bożena Łosiewicz

Materials 2026, 19(11), 2259; https://doi.org/10.3390/ma19112259 (registering DOI) - 26 May 2026

Abstract

The transition toward low-carbon energy systems has intensified interest in sustainable hydrogen production technologies. One of the most promising methods for producing green hydrogen is water electrolysis powered by renewable energy. This work reviews recent advances in electrode materials used in four major [...] Read more.

The transition toward low-carbon energy systems has intensified interest in sustainable hydrogen production technologies. One of the most promising methods for producing green hydrogen is water electrolysis powered by renewable energy. This work reviews recent advances in electrode materials used in four major electrolysis technologies: alkaline (ALK), proton exchange membrane (PEM), solid oxide electrolysis cells (SOEC), and anion exchange membrane (AEM). A bibliometric analysis of scientific publications from 2021 to 2025 highlights the rapid growth of research and the increasing importance of electrode materials in improving electrolysis performance. Operating environments, material requirements, and catalytic properties are compared across these systems. Recent developments in electrocatalysts—including transition-metal alloys, heterostructured catalysts, defect-engineered materials, and nanostructured systems—are evaluated in terms of catalytic activity, durability, and scalability. Particular attention is given to reducing noble metal usage while maintaining high electrochemical performance. Results indicate that transition-metal-based catalysts and engineered interfaces can achieve activity comparable to noble-metal systems while offering better cost efficiency. However, challenges related to long-term durability, large-scale synthesis, and standardized testing persist. Continued interdisciplinary research in materials design and electrochemical engineering is essential to enable efficient, durable, and cost-effective green hydrogen production. Full article

(This article belongs to the Special Issue Advanced Electrochemical Materials: Innovations in Sensing and Energy Storage Applications)

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25 pages, 12359 KB

Open AccessArticle

Seismic Reservoir Monitoring Using Wavelet Transforms and Machine Learning: A Double-Compression Approach

by Ahmed M. Ahmed, Jeffrey Shragge and Ilya Tsvankin

Appl. Sci. 2026, 16(11), 5352; https://doi.org/10.3390/app16115352 (registering DOI) - 26 May 2026

Abstract

Real-time seismic reservoir monitoring of geologic reservoirs requires both large-scale data management and efficient computational workflows. Addressing these challenges is facilitated by developing techniques capable of selectively capturing critical geologic features, thereby increasing computational efficiency and reducing data storage requirements. This paper proposes [...] Read more.

Real-time seismic reservoir monitoring of geologic reservoirs requires both large-scale data management and efficient computational workflows. Addressing these challenges is facilitated by developing techniques capable of selectively capturing critical geologic features, thereby increasing computational efficiency and reducing data storage requirements. This paper proposes a double-compression framework integrating Haar wavelet transforms with machine learning (ML) for efficient multiparameter seismic inversion. First, Haar wavelet compression significantly reduces the dimensionality of the input elastic models, preserving essential geologic structures while limiting data volumes. Next, a convolutional neural network with the long short-term memory (CNN-LSTM) architecture, including dual encoders and multi-decoders, compresses seismic data into a latent space to generate a multi-scale P-wave velocity estimate. By leveraging transfer learning to speed up convergence and enhance prediction accuracy, we fine-tune the latent representation to estimate the P-to-S-wave velocity ratio and acoustic impedance at multiple resolution scales. Tests on the synthetic

{CO}_{2}

-injection Kimberlina model show that wavelet-based compression—including detuning large-scale trends—minimizes artifacts in simulated wavefields and accelerates neural-network training. The results demonstrate that combining wavelet-based pre-compression for reservoir models with data-driven latent encodings for seismic data achieves high compression ratios, reduces computational costs, and maintains the fidelity of subsurface imaging. Compared with a redundant-decimation baseline, the proposed framework reduces network training time by approximately 70% and GPU memory usage by 33–73%, achieves a wavefield energy loss below 0.1% at a 16:1 model-dimension reduction, and produces multi-resolution predictions of

V_{P}

,

V_{P} / V_{S}

, and acoustic impedance with normalized errors below 0.04 across all six wavelet decomposition levels. Thus, the double-compression framework enables robust and scalable seismic monitoring of elastic reservoir parameters. Full article

(This article belongs to the Special Issue Applied Geophysical Imaging and Data Processing, 2nd Edition)

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16 pages, 4500 KB

Open AccessArticle

The Anti-Inflammatory Activity of No-Ozone Cold Plasma Can Be Delivered Through a Conductive Metal Needle on TNFα-Treated C2C12 Mice Muscle Cells In Vitro

by Jeong-Hae Choi, Seung-Ah Park, Hyun-Young Lee, Wonkyu Hong, Jaehong Kim, Jin-Woo Hong and Gyoo-Cheon Kim

Plasma 2026, 9(2), 17; https://doi.org/10.3390/plasma9020017 (registering DOI) - 26 May 2026

Abstract

Recently, an anti-inflammatory effect of no-ozone cold plasma (NCP) has been reported, but the direct use of NCP for treating muscle inflammation is very difficult since NCP is a form of gas. In this study, we tested whether the anti-inflammatory effect of the [...] Read more.

Recently, an anti-inflammatory effect of no-ozone cold plasma (NCP) has been reported, but the direct use of NCP for treating muscle inflammation is very difficult since NCP is a form of gas. In this study, we tested whether the anti-inflammatory effect of the NCP could be delivered through conductive metal needles to reduce muscle inflammation. C2C12 mouse muscle cells were treated with TNFα to induce muscle inflammation and then treated with NCP and a conductive metal needle separately or in combination. The effects of NCP and a needle were monitored by performing RT‒PCR and Western blot analysis. As a result, NCP effectively suppressed the TNFα-mediated expression of the TNFα, IL1β, and FasL genes, but this effect weakened as the distance between the cells and the NCP increased. On the other hand, treatment of cells with a plasma-needle (PN) had an anti-inflammatory effect regardless of distance, and the anti-inflammatory effect of the PN was maintained under conditions where the gas flow of NCP was not delivered to the cells. It is believed that the PN-mediated activation of media plays a pivotal role in the anti-inflammatory effect of the PN. Finally, this study also showed that electroacupuncture can inhibit TNFα-induced inflammatory gene expression in a manner like a PN. Taken together, the results of this study demonstrate that the anti-inflammatory effect of NCP can be delivered through metal needles, suggesting that PN may be useful for treating inflammatory muscle pain. Full article

36 pages, 3901 KB

Open AccessArticle

Influence of Tenebrio molitor Meal Inclusion (25–45%) on Clinical and Behavioral Responses in Laboratory Rat Feeding Trial

by Remigiusz Gałęcki, Beata Wesołowska and Nils Th. Grabowski

Animals 2026, 16(11), 1623; https://doi.org/10.3390/ani16111623 (registering DOI) - 26 May 2026

Abstract

Although Tenebrio molitor is increasingly explored as a feed ingredient, uncertainty remains regarding the effects of high dietary inclusion levels in model animals. Therefore, this study evaluated physiological and behavioral responses to graded inclusion levels of T. molitor meal (25–45%) in the diets [...] Read more.

Although Tenebrio molitor is increasingly explored as a feed ingredient, uncertainty remains regarding the effects of high dietary inclusion levels in model animals. Therefore, this study evaluated physiological and behavioral responses to graded inclusion levels of T. molitor meal (25–45%) in the diets of adult female Wistar rats. The assessed outcomes comprised (i) clinical parameters, (ii) food and water intake, (iii) hematology and serum biochemistry, and (iv) behavior. Across the insect-fed groups, no unintended weight loss or excessive gain was observed; instead, animals modulated their feed intake in a manner consistent with maintaining a relatively stable growth trajectory, without signs of hyperphagia suggestive of nutrient deficiency or anorexia indicative of adverse effects under study conditions. Diet acceptance remained high throughout the experiment, with no feed refusal or behavioral evidence of aversion that might be expected in response to poor palatability or discomfort. Heart rates and respiratory rates remained age-appropriate, showing typical temporal variability. Significant between-group differences were observed in RDW, Retic (%), NEU (%, K/μL), EOS, PLT, and PCT (p < 0.05), while serum analyses revealed significant differences in AST, total bilirubin, creatinine, phosphorus, and BUN (p < 0.05). A moderate negative correlation between individual feed intake and body weight was additionally identified in selected groups. The results of behavioral testing reveal that the dietary inclusion of T. molitor meal at levels up to 45% did not reduce spontaneous activity or elicit anxiety-like responses, and exploratory behavior appeared to be preserved. Overall, the present findings indicate that the gradual incorporation of T. molitor meal at high inclusion levels supported normal growth, physiological function, and behavior in rats under the conditions studied. Full article

(This article belongs to the Special Issue Animal Health: Potential Benefits of Edible Insects: Second Edition)

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18 pages, 1611 KB

Open AccessArticle

Study on the Objective Improvement of Optimal Threshold Selection Algorithm Based on ECMWF Ensemble Model Precipitation Forecasts

by Jin Li, Linfeng Zhang, Xiaoqian Ma, Hao Yang, Jiawen Zheng and Hongke Cai

Water 2026, 18(11), 1292; https://doi.org/10.3390/w18111292 (registering DOI) - 26 May 2026

Abstract

To address the limitation where the traditional Optimal Threshold Selection (OTS) scheme achieves a high Threat Score (TS) at the expense of an increased False Alarm Rate (FAR), this study develops an Objective Improvement of Optimal Threshold Selection (OIOTS) scheme based on the [...] Read more.

To address the limitation where the traditional Optimal Threshold Selection (OTS) scheme achieves a high Threat Score (TS) at the expense of an increased False Alarm Rate (FAR), this study develops an Objective Improvement of Optimal Threshold Selection (OIOTS) scheme based on the European Centre for Medium-Range Weather Forecasts (ECMWF) ensemble precipitation forecasts. The correction performance is verified using high-resolution observations during the post-flood season in Guangdong Province. The results indicate that (1) optimal quantiles exhibit significant spatial heterogeneity and decrease sharply with increasing precipitation intensity, confirming the necessity of grid-specific correction over uniform provincial thresholds. (2) The Optimal Precipitation (OP) threshold remains stable across different lead times but shows distinct regional characteristics influenced by topography, whereas the corresponding Probability Threshold (PT) demonstrates a downward trend as the lead time extends. (3) Verification reveals that, compared with the OTS scheme, the OIOTS scheme effectively rectifies the high FAR inherent in the optimal quantile method while maintaining a comparable TS. By minimizing the absolute difference between TS and FAR, the OIOTS scheme achieves a superior balance between detection accuracy and error suppression, with its FAR showing a significant downward trend as precipitation magnitude and lead time increase. Given its high computational efficiency and robust performance, the proposed scheme offers a reliable solution for operational meteorological forecasting. Full article

(This article belongs to the Special Issue Impacts of Climate Change on Water Resources: Assessment and Modeling, 3rd Edition)

23 pages, 4881 KB

Open AccessArticle

Genetic Parameters and Weighted Single-Step Genome-Wide Association Studies of Fertility Traits in Chinese Holstein

by Shanshan Li, Ao Wang, Yao Chang, Qingxia Yan, Hailiang Zhang, Shiyu Hou, Gang Guo and Yachun Wang

Animals 2026, 16(11), 1622; https://doi.org/10.3390/ani16111622 (registering DOI) - 26 May 2026

Abstract

Fertility traits are core functional traits in dairy cattle, yet their low heritability makes traditional phenotypic selection inefficient. Weighted single-step GWAS (WssGWAS) improves detection power by integrating pedigree, phenotype, and genotype data. This study aimed to estimate genetic parameters and identify genomic regions [...] Read more.

Fertility traits are core functional traits in dairy cattle, yet their low heritability makes traditional phenotypic selection inefficient. Weighted single-step GWAS (WssGWAS) improves detection power by integrating pedigree, phenotype, and genotype data. This study aimed to estimate genetic parameters and identify genomic regions associated with eight fertility traits in Chinese Holstein cattle using pedigree, phenotype, and genotype data. Genetic parameters were estimated via pedigree-based BLUP (PBLUP) and ssGBLUP, and a WssGWAS was performed to detect QTL. A total of 23,771 cattle were genotyped using liquid-phase chips and 150 K chips; after imputation and quality control, 13,690 individuals and 103,262 SNPs were retained. The eight traits comprised heifer traits (AFS, AFC, NS_H, and IFL_H) and cow traits (ICF, CI, NS_C, and IFL_C). The findings indicate that while most fertility traits exhibit low heritability (ranging from 0.024 to 0.085), AFS displays high heritability (0.390). WssGWAS identified 162 QTL intervals and 645 candidate genes, including OVOS2, PMEPA1, TEPP, and the RAG family, which are closely associated with reproductive function. These findings provide a foundation for future research into the genetic mechanisms of fertility and support improved genomic predictions in Chinese Holstein cattle. Full article

(This article belongs to the Collection Advances in Cattle Breeding, Genetics and Genomics)

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32 pages, 3104 KB

Open AccessReview

Progress in the Application of Machine Learning in the Field of Single-Cell and Spatial Transcriptomics

by Yan Zhu, Ziling Hao, Li Zhu, Linyuan Shen, Yihui Liu and Mailin Gan

Genes 2026, 17(6), 604; https://doi.org/10.3390/genes17060604 (registering DOI) - 26 May 2026

Abstract

The rapid evolution of transcriptome sequencing technologies has driven significant breakthroughs across the life sciences. The advent of single-cell RNA-sequencing (scRNA-seq) has enabled gene expression profiling at single-cell resolution, whereas spatial transcriptomics further contextualizes these transcriptional profiles within preserved tissue morphology. Concurrently, advancements [...] Read more.

The rapid evolution of transcriptome sequencing technologies has driven significant breakthroughs across the life sciences. The advent of single-cell RNA-sequencing (scRNA-seq) has enabled gene expression profiling at single-cell resolution, whereas spatial transcriptomics further contextualizes these transcriptional profiles within preserved tissue morphology. Concurrently, advancements in artificial intelligence have introduced unprecedented opportunities in bioinformatics. As a core component of artificial intelligence, machine learning (ML) substantially outperforms traditional computational methods in deciphering complex, high-dimensional biological data. This review systematically summarizes the significant advantages of integrating ML algorithms into transcriptomic workflows. By leveraging these advanced computational tools, researchers can efficiently extract comprehensive biological insights, elucidate intricate Gene Regulatory Networks, and generate intuitive visualizations. Ultimately, ML-driven transcriptomics provides a robust technical foundation for disease diagnosis, drug discovery, and precision medicine. These advancements underscore the pivotal role of ML in transforming transcriptomic data analysis into an intelligent, highly precise, and multidimensional discipline, thereby accelerating future biological discoveries. Full article

(This article belongs to the Special Issue Approaches to Genome and Epigenome Sequencing Data Analysis: From Innovation to Application)

29 pages, 1285 KB

Open AccessSystematic Review

The Role of Anthocyanins, Curcumin, and Resveratrol in the Prevention and Management of Metabolic Disorders: A Systematic Review

by Patrycja Gazda and Paweł Glibowski

Molecules 2026, 31(11), 1837; https://doi.org/10.3390/molecules31111837 (registering DOI) - 26 May 2026

Abstract

Metabolic disorders such as obesity, type 2 diabetes, and lipid disorders are major health challenges worldwide. There is increasing interest in the role of food-derived antioxidants in the context of metabolic disorders due to their documented antioxidant activity. Antioxidants such as flavonoids and [...] Read more.

Metabolic disorders such as obesity, type 2 diabetes, and lipid disorders are major health challenges worldwide. There is increasing interest in the role of food-derived antioxidants in the context of metabolic disorders due to their documented antioxidant activity. Antioxidants such as flavonoids and polyphenols neutralize reactive oxygen species and reduce oxidative stress, which can affect cell function and metabolic processes. Anthocyanins, curcumin, and resveratrol exhibit physiological and pharmacological properties such as antioxidant, anti-inflammatory, anti-cancer, anti-obesity, and anti-diabetic effects. The main aim of this systematic review is to comprehensively evaluate and synthesize the current scientific evidence on the role of anthocyanins, curcumin, and resveratrol in the prevention and management of metabolic disorders, with a focus on obesity, type 2 diabetes, and dyslipidemia. Databases such as PubMed and Embase were searched, and the final selection included 105 studies that met the inclusion criteria. The analyzed studies demonstrated that anthocyanin supplementation (up to 320 mg/day) was associated with reductions in inflammatory markers such as IL-6 and TNF-α, improvements in HDL cholesterol, and modest reductions in HbA1c (~0.3–0.5%). Curcumin supplementation was associated with decreases in body weight (up to 0.82 kg), BMI (up to 0.30 kg/m²), triglycerides, total cholesterol, and fasting glucose levels. Resveratrol showed mixed but potentially beneficial effects on insulin sensitivity, oxidative stress markers, and lipid metabolism, although the clinical outcomes remained inconsistent across studies. These findings suggest that the antioxidant effects of anthocyanins, curcumin, and resveratrol may be related to their ability to suppress oxidative stress and inflammatory processes, thereby contributing to improvements in glucose and lipid metabolism. The conclusions from this analysis may contribute to a better understanding of the role of antioxidants in the management of metabolic health and indicate directions for future research in this area. Full article

(This article belongs to the Special Issue Therapeutic Potential of Bioactive Dietary Small Molecules and Natural Products: From Discovery to Mechanistic Understanding)

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24 pages, 4281 KB

Open AccessArticle

GIS-AHP-Based Site Suitability Assessment for Green Hydrogen Production: A Case Study of Lüderitz, Namibia

by Ernesto T. O. Samuel, Tom Wanjekeche and Andreas Ndapuka

Energies 2026, 19(11), 2572; https://doi.org/10.3390/en19112572 (registering DOI) - 26 May 2026

Abstract

Namibia’s vast renewable energy potential positions it as a strategic location for green hydrogen production, a key vector in advancing global decarbonization objectives. Nevertheless, identifying optimal production sites remains a complex and multidimensional challenge. This study presents a comprehensive techno-economic and spatial assessment [...] Read more.

Namibia’s vast renewable energy potential positions it as a strategic location for green hydrogen production, a key vector in advancing global decarbonization objectives. Nevertheless, identifying optimal production sites remains a complex and multidimensional challenge. This study presents a comprehensive techno-economic and spatial assessment to determine the most suitable areas for large-scale green hydrogen production in Lüderitz, Namibia. The analysis employs the Analytic Hierarchy Process integrated with Geographic Information System techniques to evaluate and spatially prioritize potential sites. Critical criteria, including solar irradiance, wind velocity, land use, and proximity to essential infrastructure, were systematically weighted and overlayed to generate suitability classifications. The results indicate that approximately 20% of the study area exhibits high suitability, 68% exhibits moderate suitability, 8% exhibits marginal suitability, and 4% is unsuitable for the development of integrated wind and solar energy. These findings provide a robust scientific basis for guiding policy formulation, investment planning, and the spatial optimization of Namibia’s emerging green hydrogen industry. Full article

(This article belongs to the Section A: Sustainable Energy)

28 pages, 6579 KB

Open AccessArticle

Genetic Algorithm Optimized Sliding Mode Control for 6-DOF Commercial Vehicle Piezoelectric Active Suspension with RBF Neural Network Compensation

by Junbiao Xie, Yuying Jiang, Chen Wang, Jingcheng Dai, Yiming Yu and Chenglong Pan

Vibration 2026, 9(2), 38; https://doi.org/10.3390/vibration9020038 (registering DOI) - 26 May 2026

Abstract

To address the vibration reduction problem of the six-degrees of freedom(6-DOF) half-vehicle model and to improve ride comfort and handling stability, a piezoelectric stack actuator based on the inverse piezoelectric effect was introduced. A 6-DOF half-vehicle dynamic model coupling the cab, body, and [...] Read more.

To address the vibration reduction problem of the six-degrees of freedom(6-DOF) half-vehicle model and to improve ride comfort and handling stability, a piezoelectric stack actuator based on the inverse piezoelectric effect was introduced. A 6-DOF half-vehicle dynamic model coupling the cab, body, and wheels was established based on the Lagrange equation. Based on this model, a vertical-pitch dual sliding surface RBF neural network sliding mode control strategy was proposed, with two independent RBF neural networks designed to separately approximate, online, the comprehensive uncertainties in the vertical and pitch channels associated with unmodeled dynamics, external disturbances, and modeling simplifications. The variable-speed reaching law (dsat) function was used to design the sliding mode reaching law, balancing sliding surface convergence speed and vibration suppression. Six indicators, including vertical acceleration of the cab and vertical acceleration of the vehicle body, were selected as performance evaluation metrics to establish the fitness function. Combined with a genetic algorithm, the dual sliding surface coefficients, RBF network parameters, adaptive update rates, and variable-speed reaching law parameters were globally optimized. The vibration reduction effects of four schemes—passive control, traditional sliding mode control, RBF sliding mode control, and genetic algorithm optimized RBF dual-sliding-mode control—were compared and analyzed. Simulation results show that the genetic algorithm optimized RBF dual-sliding-mode control achieves improved vibration suppression in several key ride-comfort-related indices and provides better overall coordination among ride comfort, suspension working space, and tire dynamic deflection. The research results validate the effectiveness of this method and provide a new solution for addressing vehicle vibration reduction problems. Full article

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21 pages, 8753 KB

Open AccessFeature PaperArticle

Spatio-Temporal Assessment of Heavy Metal Contamination and Vegetation Condition at a Closed Municipal Solid Waste Landfill in Kokshetau (Kazakhstan)

by Zulfiya E. Bayazitova, Aigul S. Kurmanbayeva, Natalya M. Safronova, Sayagul B. Zhaparova, María-Elena Rodrigo-Clavero, Javier Rodrigo-Ilarri, Aida B. Akhmetova and Anar M. Ibrayeva

Environments 2026, 13(6), 294; https://doi.org/10.3390/environments13060294 (registering DOI) - 26 May 2026

Abstract

Municipal solid waste landfills may remain sources of environmental concern long after closure because heavy metals can persist in soils and affect ecosystem recovery. This study presents an integrated assessment of a closed municipal solid waste landfill in Kokshetau, Northern Kazakhstan, by combining [...] Read more.

Municipal solid waste landfills may remain sources of environmental concern long after closure because heavy metals can persist in soils and affect ecosystem recovery. This study presents an integrated assessment of a closed municipal solid waste landfill in Kokshetau, Northern Kazakhstan, by combining field-based soil geochemical analysis with remote sensing monitoring of vegetation dynamics. A radial-gradient sampling design was used to characterize spatial patterns of contamination and to distinguish zones with different levels of anthropogenic impact. The results showed a clear concentration of heavy metals, particularly Zn and Pb, in the central part of the landfill, where integrated pollution and ecological risk indices indicated the highest levels of technogenic pressure. Time-series analysis of Landsat-derived vegetation indices for 2017–2025 revealed poorer vegetation condition in the most contaminated areas, with NDVI and EVI values increasing toward the landfill periphery. The observed negative association between vegetation indices and ecological risk suggests that remote sensing indicators can provide useful information on the ecological condition of closed landfill sites, although they should be interpreted together with field measurements. The novelty of this study lies in the combined use of geochemical contamination indices and long-term vegetation-index monitoring to assess post-closure landfill conditions in an arid continental region of Central Asia, where such integrated studies remain limited. The findings highlight the persistence of environmental risks after landfill closure and support the use of vegetation indices as non-invasive tools for monitoring rehabilitation and prioritizing further field investigations. Full article

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