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24 pages, 834 KB  
Article
Green Innovative Work Behavior Toward Net-Zero in the Maritime Industry: The Moderating Roles of Climate Change Perception and Government Subsidies
by Kuang-Yen Chung and Rong-Her Chiu
Sustainability 2026, 18(4), 1927; https://doi.org/10.3390/su18041927 (registering DOI) - 12 Feb 2026
Abstract
Amid growing international pressure for carbon neutrality, the maritime industry is facing mounting institutional demands for environmental innovation. Drawing on protection motivation theory, this study surveyed 499 employees from 1519 shipping service firms to examine how coercive, mimetic, and normative pressures shape green [...] Read more.
Amid growing international pressure for carbon neutrality, the maritime industry is facing mounting institutional demands for environmental innovation. Drawing on protection motivation theory, this study surveyed 499 employees from 1519 shipping service firms to examine how coercive, mimetic, and normative pressures shape green innovative work behavior. By extending protection motivation theory to a highly regulated maritime context, this study demonstrates that institutional pressures do not directly drive green innovation; instead, they enhance employees’ self-protective motivation, which subsequently fosters eco-innovation. Moreover, these relationships are stronger when firms perceive greater climate risks or receive government subsidies, indicating that contextual conditions amplify the translation of motivation into behavior. Overall, the findings reveal how macro-level institutional forces shape the sustainable transition of maritime services through employee psychology, offering governance-relevant insights for policymakers and firms seeking to promote green innovation. Full article
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18 pages, 940 KB  
Article
Atopy and Other Sensitivities in Non-Celiac Wheat Sensitivity: Is There an Associated Hypersensitivity Background?
by Aurelio Seidita, Pasquale Mansueto, Mirco Pistone, Maurizio Soresi, Diana Di Liberto, Marianna Lauricella, Lydia Giannitrapani, Giovanni Pratelli, Giuseppe Mazzarella, Alessandra Camarca, Francesco Maurano, Giuseppe Mogavero and Antonio Carroccio
Nutrients 2026, 18(4), 609; https://doi.org/10.3390/nu18040609 - 12 Feb 2026
Abstract
Background: A hypersensitivity reaction has been hypothesized as one of the possible pathophysiological mechanisms involved in non-celiac wheat sensitivity (NCWS). Some studies have reported a high frequency of atopic diseases in NCWS patients. Objectives: This study aimed A) to define the presence and [...] Read more.
Background: A hypersensitivity reaction has been hypothesized as one of the possible pathophysiological mechanisms involved in non-celiac wheat sensitivity (NCWS). Some studies have reported a high frequency of atopic diseases in NCWS patients. Objectives: This study aimed A) to define the presence and features of atopic diseases and other hypersensitivities in NCWS patients and B) to search for possible allergic features which could address a NCWS diagnosis. Methods: Clinical, laboratory and histological data from NCWS patients before the start of a wheat-free diet were retrospectively analyzed and compared to control subjects with celiac disease (CeD) or irritable bowel syndrome/functional dyspepsia (IBS/FD). Results: Atopic disease prevalence was higher in the NCWS patients (32.8%) than in those with CeD (19.3%) and IBS/FD (21.5%) (p = 0.001 for both). Similarly, NCWS subjects reported a higher frequency of multiple food sensitivities (MFSs) (39.8%) and self-reported milk intolerance (SRMI) (65.9%) compared to the control groups (p < 0.001 for both). On multiple logistic regression analysis, a coexistent atopic disease (OR 1.481), MFS (OR 3.882) and SRMI (OR 2.259) proved to be variables associated with the NCWS diagnosis. Conclusions: NCWS subjects have a higher frequency of atopic disease, MFS and SRMI when compared to both CeD and IBS/FD patients. All these conditions could be considered as an expression of an underlying hypersensitivity milieu characterizing NCWS and might be of support in the differential diagnosis between NCWS and functional gastrointestinal disorders, if inserted into a broader diagnostic panel. Full article
(This article belongs to the Section Nutritional Immunology)
59 pages, 2897 KB  
Review
Medicinal Plants in the Space Exploration Era: Opportunities and Challenges for Mitigating Spaceflight-Induced Health Hazards
by Francesca Pettinau and Alessandro Orrù
Appl. Sci. 2026, 16(4), 1860; https://doi.org/10.3390/app16041860 - 12 Feb 2026
Abstract
Since the dawn of civilization, humanity has looked to the sky, seeking to expand knowledge beyond Earth’s boundaries. The last eight decades have witnessed remarkable progress in space exploration, paving the way for increasingly longer space journeys and the establishment of human settlements [...] Read more.
Since the dawn of civilization, humanity has looked to the sky, seeking to expand knowledge beyond Earth’s boundaries. The last eight decades have witnessed remarkable progress in space exploration, paving the way for increasingly longer space journeys and the establishment of human settlements on the Moon and Mars. These achievements have been made possible by advances in multiple scientific disciplines, including the rise of space medicine, astropharmacy, astrobiology, and astrobotany, each addressing how biological and technological systems adapt to extraterrestrial environments. Nevertheless, the space environment remains profoundly inhospitable to human life, making the protection of health and the assurance of long-term sustainability a key strategic goal in space exploration programs. Within this multidisciplinary framework, the potential role of medicinal plants remains underexplored. Historically central to healthcare, medicinal plants provide a vast repertoire of bioactive compounds and molecular scaffolds, many of which have inspired modern drugs. This review explores how medicinal plants could contribute to human well-being beyond Earth—not only as sources of therapeutic agents to mitigate spaceflight-induced ailments but also as biomanufacturing platforms for on-demand production of pharmaceuticals. Ultimately, medicinal plants could continue to play a pivotal role in supporting human health, also in space, but it poses new challenges and requires further scientific and technological advances. Full article
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11 pages, 1338 KB  
Article
Interfascial Injection Pressure Depending on Type of Regional Anesthesia Needle
by Wilk Mateusz, Jedrasiak Karol, Suwalska Aleksandra and Wodarski Piotr
J. Clin. Med. 2026, 15(4), 1458; https://doi.org/10.3390/jcm15041458 - 12 Feb 2026
Abstract
Introduction: Reliable identification regarding interfascial spaces proves essential to achieve successful nerve block analgesia; however, ultrasound guided approaches are recognized as challenging, particularly in obese or pediatric patients. In prior cadaveric and clinical investigations, multiple approaches were evaluated to identify methods for measuring [...] Read more.
Introduction: Reliable identification regarding interfascial spaces proves essential to achieve successful nerve block analgesia; however, ultrasound guided approaches are recognized as challenging, particularly in obese or pediatric patients. In prior cadaveric and clinical investigations, multiple approaches were evaluated to identify methods for measuring injection pressures as a function of needle position relative to fascia. Our previous study proposed simpler method of finding interfascial spaces with the needle tip. In this study, it was examined whether needle tip design influences injection pressures during regional anesthesia procedures, via an ex vivo pig specimen setup. Methods: A bespoke apparatus for tracking injection pressure was deployed to enable continuous measurement of intraluminal pressure generated while delivering saline throughout ultrasound guided peripheral nerve block needles conducted within pig thigh specimens. Delivery was performed using an infusion pump. Three types of needles of the same manufacturer (Pajunk) and same diameter (22G) but with different tips (Facet, Facet S and Sprotte) were used to measure injection pressures during penetration through tissues until interfascial plane hydrodissection was created. Statistical analyses were performed to compare pressure levels, variability, and temporal pressure trends. Results: Ninety ultrasound guided injections in porcine thigh tissue were analyzed, with thirty procedures per needle type. Injection pressure differed significantly between intramuscular, fascial puncture, and interfascial phases, showing a distinct puncture peak (p ≤ 3.44 × 10−14). Needle geometry significantly affected pressures across all phases (Kruskal–Wallis intramuscular p = 2.0 × 10−6, puncture p = 7.52 × 10−8, interfascial p = 9.2 × 10−5), with large pairwise effects (Hedges g up to 1.51). The classical tip produced the highest intramuscular and higher interfascial pressures, the sharp tip required the lowest puncture pressure, and the lateral tip yielded the lowest intramuscular and interfascial pressures. Conclusions: Needle tip geometry substantially influences pressure dynamics throughout the injection process, with the classical design associated with the highest fascia-penetration injection pressures and the sharp needle exhibiting the lowest, while the lateral design associated with lowest intramuscular-penetration and interfascial pressures. Full article
(This article belongs to the Special Issue Targeted Medicine in Postoperative Pain Management)
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40 pages, 5718 KB  
Article
Estimation of Fractal Dimension and Super-Resolution Reconstruction for Person Re-Identification in Images from Infrared Surveillance Camera
by Seung Yong Jung, Dong Chan Lee, Min Su Jeong, Seong In Jeong, Hyun Woo Song, Ho Won Lee and Kang Ryoung Park
Fractal Fract. 2026, 10(2), 123; https://doi.org/10.3390/fractalfract10020123 - 12 Feb 2026
Abstract
Person re-identification (Re-ID) using infrared surveillance cameras has attracted increasing attention due to its robustness under low-light conditions. However, infrared images generally suffer from a low spatial resolution, which degrades Re-ID performance. To address this issue, this study proposes a part attention and [...] Read more.
Person re-identification (Re-ID) using infrared surveillance cameras has attracted increasing attention due to its robustness under low-light conditions. However, infrared images generally suffer from a low spatial resolution, which degrades Re-ID performance. To address this issue, this study proposes a part attention and contrastive loss-based super-resolution reconstruction network (PCSR-Net) and a unified infrared-only Re-ID framework. The proposed PCSR-Net consists of a correlation-based super-resolution reconstruction network (CoSR-Net), a feature extractor for Re-ID, and a part attention mechanism that estimates the importance of different body regions. In addition, contrastive loss and part-aware reconstruction loss are incorporated to guide the super-resolution process toward identity-discriminative representations. Experimental results on DBPerson-Recog-DB1 and SYSU-MM01 demonstrate that the proposed method outperforms state-of-the-art approaches in terms of the equal error rate (EER), mean average precision (mAP), and rank-1 accuracy, validating its effectiveness for infrared-based person Re-ID. Full article
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11 pages, 477 KB  
Article
Molecular Diagnosis of Syphilis in Brazilian Ambulatory Patients: Detection of Treponema pallidum subsp. pallidum in Serum Using Ancient DNA Protocols
by Lorrayne Samille Santos de Brito, Mauro Romero Leal Passos and Alena Mayo Iñiguez
Microorganisms 2026, 14(2), 453; https://doi.org/10.3390/microorganisms14020453 - 12 Feb 2026
Abstract
The rising incidence of syphilis in recent decades underscores the need to improve diagnostic and control strategies. The infection caused by Treponema pallidum subsp. pallidum is commonly diagnosed using serological tests. However, these methods exhibit limitations in the early or late stages of [...] Read more.
The rising incidence of syphilis in recent decades underscores the need to improve diagnostic and control strategies. The infection caused by Treponema pallidum subsp. pallidum is commonly diagnosed using serological tests. However, these methods exhibit limitations in the early or late stages of disease, when antibody responses and/or bacterial loads are low. Molecular biology detection using serum samples is also hampered by low circulating bacterial loads during asymptomatic periods. Ancient DNA (aDNA) studies apply methods adapted to recovering low concentrations and degraded DNA. In this study, we evaluated the effectiveness of aDNA protocols applied to the molecular diagnosis of T. p. subsp. pallidum in serum samples from ambulatory patients from Rio de Janeiro, Brazil. A PRISMA-based systematic review was also performed to identify studies using molecular biology diagnosis from serum. Twenty serums screened by TPHA (Treponema pallidum Hemagglutination assay) and with different VDRL titers (Venereal Disease Research Laboratory test) were analyzed. Amplification of tpp15 gene was observed in 14/17 (82.35%) samples; T. pallidum sequence was confirmed in 12/17 (70.59%). The findings demonstrate the potential of molecular approaches based on aDNA-adapted protocols as alternatives to conventional serological diagnosis, contributing to improved detection of infection and strengthening epidemiological surveillance of syphilis. Full article
(This article belongs to the Section Public Health Microbiology)
16 pages, 1137 KB  
Article
Effects of Irrigation Water Sources on Heavy Metal Distribution and Dynamics in Soil–Corn Systems
by Yaqiong Fan, Feifan Zheng, Guoqiang Geng, Jingjuan Hu, Yajuan Wu, Yamin Jia, Ronghao Liu, Guisheng Fan and Lixia Shen
Agronomy 2026, 16(4), 438; https://doi.org/10.3390/agronomy16040438 - 12 Feb 2026
Abstract
The rational use of reclaimed water for irrigation is a vital strategy to alleviate water scarcity in arid and semi-arid regions. Assessing its impact on heavy metal behavior in soil–plant systems is crucial for ensuring agricultural safety. This study evaluated the effects of [...] Read more.
The rational use of reclaimed water for irrigation is a vital strategy to alleviate water scarcity in arid and semi-arid regions. Assessing its impact on heavy metal behavior in soil–plant systems is crucial for ensuring agricultural safety. This study evaluated the effects of four irrigation water sources—well water (CK, control), river water (R0), a 1:1 mixture of river and reclaimed water (R1), and reclaimed water (R2)—on the distribution of heavy metals (Mn, Zn, Cu) in soil profiles and their accumulation in corn organs across growth stages. Results indicated that soil Mn content increased over time, whereas Zn and Cu levels generally decreased, with the smallest reduction observed in the R2 treatment at deeper soil layers. In corn, Mn and Cu were primarily concentrated in roots and leaves, while Zn accumulated notably in grains. Plant heavy metal content was generally lower under R2 than CK. Risk assessment indicated slight Mn pollution in soil, whereas Zn and Cu remained within safe limits. Health risk indices (THQ) for R1 and R2 were lower than CK. Overall, the mixed water treatment (R1) showed the strongest potential for controlling heavy metal contamination, suggesting that blended reclaimed water can support sustainable irrigation with long-term Mn monitoring recommended. Full article
(This article belongs to the Section Water Use and Irrigation)
13 pages, 546 KB  
Article
Assessing ChatGPT Accuracy Across Versions for Patient and Guideline Queries in Sacral Neuromodulation
by Kirolos Eskandar
Soc. Int. Urol. J. 2026, 7(1), 11; https://doi.org/10.3390/siuj7010011 - 12 Feb 2026
Abstract
Background/Objectives: Sacral neuromodulation (SNM) is an established therapy for refractory overactive bladder and non-obstructive urinary retention. With the rapid adoption of large language models (LLMs) such as ChatGPT, their accuracy in procedure-specific domains requires evaluation. The aim of this study was to compare [...] Read more.
Background/Objectives: Sacral neuromodulation (SNM) is an established therapy for refractory overactive bladder and non-obstructive urinary retention. With the rapid adoption of large language models (LLMs) such as ChatGPT, their accuracy in procedure-specific domains requires evaluation. The aim of this study was to compare the accuracy, completeness, and reproducibility of ChatGPT versions 3.5, 4.0, and 5.0 in answering patient- and guideline-based questions on SNM. Methods: Twenty questions were developed from international guidelines, device information, and common patient inquiries, covering five domains (mechanism, technique, outcomes, complications, postoperative management), two source types (frequently asked question [FAQs] vs. guideline), and three difficulty levels. These thematic domains were derived from core clinical counseling areas routinely addressed in SNM evaluation and follow-up. Each was submitted to ChatGPT versions 3.5, 4.0, and 5.0. Responses were rated independently by two urologists on a four-point accuracy scale. Combined success (Grades 1–2) and accuracy trends were compared across versions. Chi-square tests were used to assess differences across versions, Cramer’s V to measure effect size, and Cohen’s kappa to evaluate reproducibility. Results: Accuracy improved progressively across versions. Combined success rates rose from 70% in version 3.5 to 85% in 4.0 and 90% in 5.0 (p = 0.031, Cramer’s V = 0.29). Highest accuracy was observed in mechanism and procedural technique, while complication- and guideline-based questions showed lower performance. FAQ and straightforward questions were answered more reliably than guideline-based or complex ones. Reproducibility was excellent across all versions (κ = 0.81–0.91). Conclusions: ChatGPT 4.0 and 5.0 show strong potential as adjunctive tools for patient education in SNM, particularly for FAQs and procedural explanations. However, because persistent limitations were observed in guideline interpretation and complication management, clinician oversight remains essential, and these models should not be regarded as substitutes for professional clinical judgment. Full article
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29 pages, 1103 KB  
Review
Smart Antibiofilm Platforms Based on Synthetic Antimicrobial Peptides-Engineered Hydrogels
by Carpa Rahela, Bogyor Agota-Katalin and Butiuc-Keul Anca
Polymers 2026, 18(4), 471; https://doi.org/10.3390/polym18040471 - 12 Feb 2026
Abstract
Chronic wounds and implanted medical devices remain highly vulnerable to biofilm-associated infections, which resist conventional antibiotics and immune clearance. Synthetic antimicrobial peptides (AMPs) have emerged as promising alternatives, offering tunable sequences, short lengths for cost-effective synthesis, and functional modifications that enhance stability and [...] Read more.
Chronic wounds and implanted medical devices remain highly vulnerable to biofilm-associated infections, which resist conventional antibiotics and immune clearance. Synthetic antimicrobial peptides (AMPs) have emerged as promising alternatives, offering tunable sequences, short lengths for cost-effective synthesis, and functional modifications that enhance stability and antibiofilm potency. Hydrogels provide an optimal delivery matrix by enabling localized AMP release, maintaining a moist wound environment, and supporting stimuli-responsive or sustained therapeutic action. This review highlights recent advances in peptide engineering strategies—including rational sequence design, chemical modifications, and self-assembling nanostructures—alongside hydrogel integration approaches ranging from physical entrapment to covalent tethering and infection-triggered release systems. Mechanistic insights into antibiofilm activity are discussed, supported by in vitro, ex vivo, and in vivo evaluation models. Beyond antimicrobial efficacy, multifunctional AMP–hydrogel systems can deliver complementary benefits such as hemostasis, anti-inflammation, or enzymatic biofilm dispersal, further accelerating tissue repair. Despite significant progress, translational challenges remain, including peptide stability, manufacturing costs, regulatory hurdles, and host safety. Future directions point toward AI-driven peptide design, programmable hydrogels, and point-of-care integration to realize safe, effective, and multifunctional AMP–hydrogel therapies for chronic wound management and biofilm eradication. Full article
(This article belongs to the Section Biobased and Biodegradable Polymers)
24 pages, 1543 KB  
Article
Super-Resolution Reconstruction and Detector Geometric Error Correction for Parallel-Beam Low-Resolution Multi-Detector SPECT: A Proof of Concept
by Zhibiao Cheng, Jun Zhang, Ping Chen and Junhai Wen
Tomography 2026, 12(2), 23; https://doi.org/10.3390/tomography12020023 - 12 Feb 2026
Abstract
Objectives: Due to collimator limitations, Single-Photon Emission Computed Tomography (SPECT) suffers from relatively low spatial resolution, which hampers the detection of small lesions. This study proposes a super-resolution (SR) reconstruction algorithm for a parallel-beam, low-resolution (LR) multi-detector SPECT system and employs a neural [...] Read more.
Objectives: Due to collimator limitations, Single-Photon Emission Computed Tomography (SPECT) suffers from relatively low spatial resolution, which hampers the detection of small lesions. This study proposes a super-resolution (SR) reconstruction algorithm for a parallel-beam, low-resolution (LR) multi-detector SPECT system and employs a neural network to estimate and correct for geometric errors in the LR detectors. Methods: A parallel-beam LR multi-detector SPECT system is presented, in which the detectors perform relative sub-pixel shifts. At each sampling angle, an SR reconstruction algorithm synthesizes high-resolution (HR) SPECT images from LR projections acquired by four offset LR detectors. To correct for geometric errors among these detectors, a randomly distributed gamma point source was designed to generate training data. A neural network was then employed to estimate the geometric errors, thereby refining the SR reconstruction. Results: Numerical simulation demonstrated that the proposed neural network could accurately identify the displacement-based geometric errors of the LR detectors. Utilizing these estimated parameters to correct the SR reconstruction process yielded results comparable to those obtained from direct reconstruction of HR projections, achieving a two-fold resolution improvement. Conclusions: Preliminary proof-of-principle for SR reconstruction in a parallel-beam LR multi-detector SPECT system was established. Further validation of the hardware performance is warranted. Full article
29 pages, 546 KB  
Review
Advances in the Therapeutic Landscape of Hepatocellular Carcinoma: Current Strategies and Future Perspectives
by Asahiro Morishita, Kyoko Oura, Hiroki Tai, Rie Yano, Mai Nakahara, Tomoko Tadokoro, Koji Fujita, Shima Mimura, Joji Tani, Miwa Tatsuta, Takashi Himoto and Hideki Kobara
Cancers 2026, 18(4), 609; https://doi.org/10.3390/cancers18040609 - 12 Feb 2026
Abstract
Hepatocellular carcinoma (HCC) is the most common primary liver cancer and a major cause of cancer mortality worldwide. Because HCC usually arises in cirrhotic livers, prognosis is shaped by the dual threats of tumor progression and hepatic decompensation, requiring treatment decisions that balance [...] Read more.
Hepatocellular carcinoma (HCC) is the most common primary liver cancer and a major cause of cancer mortality worldwide. Because HCC usually arises in cirrhotic livers, prognosis is shaped by the dual threats of tumor progression and hepatic decompensation, requiring treatment decisions that balance anticancer efficacy with preservation of liver function, portal hypertension control, and quality of life. In recent years, management has shifted from a predominantly locoregional approach to an integrated continuum that spans curative resection, ablation, and transplantation; refined transarterial and radiotherapy techniques; and modern systemic therapy dominated by immunotherapy-based combinations. These advances have improved response rates, enabled downstaging and conversion in selected patients, and expanded opportunities for sequential and multimodal treatment. However, challenges persist, including therapeutic decision-making in patients with Child–Pugh B liver function, lack of robust predictive biomarkers, and resistance after initial response. Emerging tools—liquid biopsy, radiomics, AI-assisted imaging, and microbiome modulation—may support future precision strategies and optimized treatment allocation. In this review, we summarize current evidence guiding staging and therapy selection, outline practical considerations across curative, locoregional, and systemic modalities, and discuss evolving biomarkers and next-generation immunotherapy as key steps toward more personalized, durable, and equitable global HCC care. Full article
(This article belongs to the Collection Advances in the Management of Hepatocellular Carcinoma)
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12 pages, 744 KB  
Article
Cylinder Bicuspid Pulmonary Valve Reconstruction Using Equine Pericardium: A Novel Technique for Right Ventricular Outflow Tract Repair
by Ahmed F. Elmahrouk, Abdelmonem M. Helal, Mohammad F. Babgi, Abdulbadee Bogis, Amjad A. Kouatli and Mohammad S. Shihata
J. Clin. Med. 2026, 15(4), 1457; https://doi.org/10.3390/jcm15041457 - 12 Feb 2026
Abstract
Background: Right ventricular outflow tract (RVOT) reconstruction is frequently performed for pediatric patients with pulmonary valve anomalies, yet optimal techniques remain debated. The equine pericardium offers a promising substrate for pulmonary valve reconstruction but has been understudied in pulmonary valve reconstruction. This [...] Read more.
Background: Right ventricular outflow tract (RVOT) reconstruction is frequently performed for pediatric patients with pulmonary valve anomalies, yet optimal techniques remain debated. The equine pericardium offers a promising substrate for pulmonary valve reconstruction but has been understudied in pulmonary valve reconstruction. This study evaluated a novel technique using the equine pericardium to create a cylinder bicuspid pulmonary valve for RVOT reconstruction. Methods: In this retrospective cohort study, 17 pediatric patients (median age: 10 months; 53% male) underwent RVOT reconstruction with equine pericardium between 2023 and 2024. The valve was fashioned from a patch of equine pericardium into a cylinder to create a functionally bicuspid valve. The height of the cylinder ranged from 1.5–2 cm. The diameter was measured around a Hegar dilator corresponding to a valve size z-score of +3. The outcomes included the degree of postoperative pulmonary regurgitation, RVOT pressure gradients, postoperative complications, and reinterventions. Results: Postoperatively, the median peak RVOT pressure gradient decreased significantly from 70 mmHg (IQR: 65–90) to 25 mmHg (IQR: 20–40; p < 0.001). Mild pulmonary regurgitation persisted in one patient (5.9%). Five patients had mild right ventricular dysfunction (29.41%). At a median 3-month follow-up (IQR: 1–8), 17.7% (n = 3) underwent cardiac catheterization. There was no postoperative mortality. Conclusion: Cylinder bicuspid pulmonary valve reconstruction using the equine pericardium effectively reduces RVOT obstruction while maintaining pulmonary valve competence and demonstrates acceptable short-term safety. Having a competent pulmonary valve after repairing the hypoplastic pulmonary valve annulus is very promising; however, the small cohort and limited follow-up preclude definitive conclusions about long-term durability. Larger prospective studies with longer follow-up periods are needed to validate this technique for RVOT reconstruction. Full article
(This article belongs to the Special Issue Latest Advances in Pediatric Surgery)
23 pages, 59311 KB  
Article
W-MTD: A Weather-Robust and Lightweight Maritime Target Detection Method Based on Knowledge Distillation for USVs
by Mengying Ge, Yiji Zhou, Qiuyang Zhang, Zhou Ni and Wei Song
J. Mar. Sci. Eng. 2026, 14(4), 359; https://doi.org/10.3390/jmse14040359 - 12 Feb 2026
Abstract
Maritime target detection under complex adverse weather conditions (e.g., fog, rain, and low light) is crucial for Unmanned Surface Vehicle (USV) navigation. However, achieving high detection accuracy and efficiency remains challenging due to coupled environmental interference and limited computing resources. In this paper, [...] Read more.
Maritime target detection under complex adverse weather conditions (e.g., fog, rain, and low light) is crucial for Unmanned Surface Vehicle (USV) navigation. However, achieving high detection accuracy and efficiency remains challenging due to coupled environmental interference and limited computing resources. In this paper, we propose W-MTD, a task-specific distillation framework designed for weather-robust and lightweight maritime target detection based on knowledge distillation. Building upon the Fine-grained Distribution Refinement (D-FINE) detection model, this method constructs a dual-path knowledge distillation framework tailored for maritime scenes. Through the synergistic optimization of feature similarity constraints and decoupled distillation, it facilitates multi-level knowledge transfer from a teacher model to a lightweight student model, mitigating feature degradation caused by model compression. A multi-scenario augmentation strategy is designed to balance convergence across different weather conditions. Experiments show that W-MTD’s student model improves detection accuracy by 7.0–13.9% under three adverse weather conditionscompared to the baseline teacher model trained solely on clear weather data while maintaining comparable clear-weather performance. With only 4 M parameters and 7 GFLOPs, the student model demonstrates favorable performance and efficiency compared to other real-time detectors, indicating its potential suitability for USV deployment. Full article
(This article belongs to the Section Ocean Engineering)
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21 pages, 9135 KB  
Brief Report
Application of Opposing-Coils Transient Electromagnetic Method in Urban Potential-Fault Detection
by Sixin Zhu, Shuo Cai, Xu Zhao, Fuyao Cui and Haolin Wang
Appl. Sci. 2026, 16(4), 1859; https://doi.org/10.3390/app16041859 - 12 Feb 2026
Abstract
Urban environments face heightened seismic risks due to dense infrastructure and population concentration. Traditional seismic methods often face significant practical limitations in cities due to space constraints, traffic disruption, and acoustic noise, necessitating reliable alternative geophysical approaches for fault screening. This study evaluates [...] Read more.
Urban environments face heightened seismic risks due to dense infrastructure and population concentration. Traditional seismic methods often face significant practical limitations in cities due to space constraints, traffic disruption, and acoustic noise, necessitating reliable alternative geophysical approaches for fault screening. This study evaluates the efficacy and practical utility of the opposing-coils transient electromagnetic method (OCTEM) as an effective alternative to conventional seismic techniques for detecting shallow-fault-like resistivity signatures under complex urban electromagnetic noise. By employing dual coaxial coils with opposing currents, the OCTEM suppresses primary-field interference, enabling high-resolution imaging of subsurface structures at depths of 0–200 m. A case study in Tiancheng Chengyuan, Cangzhou City, China, demonstrates the OCTEM’s capability to reliably delineate stratigraphic interfaces and resistivity anomalies under challenging electromagnetic background conditions. Field data exhibited a mean square relative error of 4.01%, validating its data quality and measurement stability. The survey successfully identified stratigraphic continuity and localized heterogeneity features within the investigation zone. These results establish the OCTEM as a robust and efficient tool for urban fault screening, particularly in environments where traditional high-resolution seismic methods are impractical or economically unfeasible. Full article
44 pages, 3678 KB  
Review
Advanced Oxidation Processes in Water Treatment: Mapping 15 Years of Scientific Progress and Collaboration
by Motasem Y. D. Alazaiza, Tharaa M. Alzghoul, Obie Farobie, Al-Anoud Al-Yazeedi, Salem S. Abu Amr and Mohammed J. K. Bashir
Environments 2026, 13(2), 103; https://doi.org/10.3390/environments13020103 - 12 Feb 2026
Abstract
Advanced Oxidation Processes (AOPs) are pivotal technologies for the effective degradation of a wide variety of organic and inorganic pollutants in water and wastewater treatment. This bibliometric analysis evaluates 481 publications from the Scopus database, covering the period from 2010 to November 2025, [...] Read more.
Advanced Oxidation Processes (AOPs) are pivotal technologies for the effective degradation of a wide variety of organic and inorganic pollutants in water and wastewater treatment. This bibliometric analysis evaluates 481 publications from the Scopus database, covering the period from 2010 to November 2025, to explore research trends and developments in the field. The findings reveal a substantial increase in research output, with an average annual growth rate of 22.7%. China leads in publication count with 192 documents, followed closely by the United States with 64 publications, demonstrating their substantial contributions to AOP research. Prominent institutions include Tongji University and Università Degli Studi Di Salerno, emphasizing the global collaboration among 2335 authors from 158 institutions across 74 countries. Key themes emerging from the analysis include high oxidative efficiency of AOPs, their hybrid applications with biological and adsorption methods, and their adaptability in treating persistent pollutants and emerging contaminants. However, challenges such as high operational costs, hazardous byproduct formation, and reliance on specific water matrix conditions remain significant obstacles. Funding sources, notably the National Natural Science Foundation of China, play a crucial role, supporting numerous studies, while journals like “Water Research,” “Chemical Engineering Journal,” and “Science of the Total Environment” are identified as primary venues for disseminating impactful research. Overall, this study underscores the need for innovative strategies and interdisciplinary collaboration to enhance the efficacy and application of AOP technologies in addressing the growing challenges in water treatment and environmental sustainability. Full article
(This article belongs to the Special Issue Advanced Research on the Removal of Emerging Pollutants)
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18 pages, 1613 KB  
Article
Antibiotic-Driven Evolutionary Engineering in Salmonella Heidelberg Reveals Genomic Signatures of Attenuation
by Ruy D. Chacón, Manuel Ramírez, Claudete S. Astolfi-Ferreira and Antonio J. Piantino Ferreira
Genes 2026, 17(2), 235; https://doi.org/10.3390/genes17020235 - 12 Feb 2026
Abstract
Background/Objectives: Salmonella Heidelberg (SH) is a globally distributed pathogen associated with gastrointestinal disease in humans and animals and frequently affects poultry. Among the classic strategies used in vaccine development, evolutionary engineering enables the generation of attenuated bacterial strains through exposure to selective [...] Read more.
Background/Objectives: Salmonella Heidelberg (SH) is a globally distributed pathogen associated with gastrointestinal disease in humans and animals and frequently affects poultry. Among the classic strategies used in vaccine development, evolutionary engineering enables the generation of attenuated bacterial strains through exposure to selective pressures such as antibiotics. In this study, spontaneous antibiotic-resistant mutant strains of SH were generated by exposure to high concentrations of streptomycin and rifampicin, after which their phenotypic and genotypic characteristics were evaluated. Methods: The wild-type strain SA628 wt was subjected to continuous and discontinuous selection under antibiotic pressure. Phenotypic characterization included biochemical profiling and antibiotic susceptibility testing. Whole-genome sequencing was performed to identify genetic changes affecting virulence- and resistance-associated genes, plasmid content, and point mutations using variant calling approaches. The potential functional relationships of the mutated genes were further analyzed through genetic network analysis. Results: The mutant strains SA628 mut1 and SA628 mut3 were obtained through discontinuous selection, whereas strain SA628 mut2 was generated under continuous selection. Phenotypically, all the mutant strains exhibited resistance to streptomycin, whereas SA628 mut2 and SA628 mut3 also exhibited resistance to rifampicin. Genomic analyses revealed mutations in rpoS, ascD, ynfE, rpoB, and cyaA associated with discontinuous selection and in iscU, ybiO, rpoB, and rsmG associated with continuous selection. Network analysis indicated that these genes are functionally connected within regulatory and metabolic interaction networks, including global transcriptional regulation, anaerobic metabolism, cAMP-mediated signaling, translation, and iron–sulfur cluster biogenesis. Conclusions: Collectively, these findings suggest that antibiotic-driven selection promotes coordinated genetic changes affecting stress responses and metabolism, which may contribute to reduced virulence. This work provides insights into bacterial adaptation under antibiotic stress and supports the potential use of evolutionary engineering for the development of attenuated strains. Full article
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29 pages, 730 KB  
Review
A Literature Review of Public Transport OD Matrix Estimation
by Joan Burgalat, Gael Pallares, Myriam Foucras and Yohan Dupuis
Future Transp. 2026, 6(1), 45; https://doi.org/10.3390/futuretransp6010045 - 12 Feb 2026
Abstract
Origin–Destination matrices (ODms) are a fundamental input for public transport planning and optimization, as they characterize travel demand across a network. Traditionally estimated from user surveys, ODms are now increasingly inferred from large-scale automatically collected data, such as Automated Fare Collection (AFC), Automated [...] Read more.
Origin–Destination matrices (ODms) are a fundamental input for public transport planning and optimization, as they characterize travel demand across a network. Traditionally estimated from user surveys, ODms are now increasingly inferred from large-scale automatically collected data, such as Automated Fare Collection (AFC), Automated Passenger Counting (APC), and Automated Vehicle Location data (AVL). This review focuses on the reconstruction of static ODms in public transport systems, while accounting for studies that exploit dynamic or short-term observations when these are used to infer static or quasi-static demand patterns. We provide a transversal synthesis of OD estimation approaches by jointly analyzing data sources, modeling assumptions, uncertainty handling, and validation strategies. A structured comparative table summarizes representative case studies across different data contexts, objectives, and methodological families. Beyond a descriptive overview, this review identifies key research gaps, including the lack of uncertainty-aware benchmarking frameworks, the limited propagation of uncertainty across modeling stages, and the strong dependence of reported performance on data quality and validation references. These findings highlight that OD estimation performance is context-dependent and that methodological choices should be aligned with data availability, modeling objectives, and acceptable assumptions rather than with reported accuracy alone. Full article
(This article belongs to the Topic Data-Driven Optimization for Smart Urban Mobility)
24 pages, 693 KB  
Article
Behind the Wheel of a Truck Simulator: Comparison of Self-Reported, Performance-Based, and Simulation Methods for Predicting Driver Traffic Offences
by Paulina Baran, Piotr Zieliński, Mariusz Krej, Marcin Piotrowski and Łukasz Dziuda
Behav. Sci. 2026, 16(2), 271; https://doi.org/10.3390/bs16020271 - 12 Feb 2026
Abstract
Traffic violations represent a significant public health concern, with professional drivers substantially impacting road safety. This pilot study compared self-report questionnaires (general personality versus domain-specific), performance-based tests, and driving simulator measures to determine which assessment method best predicts traffic offences among professional truck [...] Read more.
Traffic violations represent a significant public health concern, with professional drivers substantially impacting road safety. This pilot study compared self-report questionnaires (general personality versus domain-specific), performance-based tests, and driving simulator measures to determine which assessment method best predicts traffic offences among professional truck drivers. Participants (N = 27) completed the Impulsiveness–Venturesomeness–Empathy Questionnaire (IVE), the Road Traffic Behaviours Questionnaire (KZD), and the Vienna Risk-Taking Test Traffic (WRBTV) and performed standardised driving scenarios in a truck simulator. Performance was assessed using speed variations in five validated decision-making situations. Drivers were classified into two groups based on relatively higher and relatively lower numbers of self-reported traffic offences. The KZD demonstrated the strongest group differentiation (p = 0.034, d = 0.76). Simulator performance was significantly different between the groups (p = 0.033, d = −0.68), with offence-reporting drivers showing smaller speed reductions. The WRBTV and the IVE empathy subscale approached significance (p = 0.056 and p = 0.059, respectively). Higher empathy characterised offence-free drivers, suggesting social–emotional factors may contribute to traffic safety. General impulsiveness and venturesomeness showed no group differences. The results indicate that domain-specific questionnaires and behavioural assessments offer superior predictive validity compared to general personality measures for identifying potentially unsafe drivers. ROC analysis revealed moderate predictive validity across significant measures (AUC: 0.64–0.70), with differential patterns of sensitivity and specificity among predictors. The findings suggest implementing tiered screening approaches using domain-specific questionnaires as initial cost-effective tools, followed by simulator assessment for at-risk drivers, enabling transport companies and regulatory bodies to identify high-risk drivers proactively. Full article
28 pages, 2220 KB  
Review
Top Physical Sciences of Mediterranean Croatia for the Sustainable Development Goals Framework: A Case Study of the University of Split—Bibliometric Approach
by Petra Jelic, Tonka Petricevic, Ana Matijasevic Renic, Petra Zoranovic, Ana Marusic and Igor Jerkovic
Sustainability 2026, 18(4), 1926; https://doi.org/10.3390/su18041926 - 12 Feb 2026
Abstract
The United Nations Sustainable Development Goals (SDGs) have been one of the benchmarks for academic research. This study addresses global SDG-related challenges through top research in physical sciences (PS) at the University of Split (UNIST). UNIST was selected as a case study of [...] Read more.
The United Nations Sustainable Development Goals (SDGs) have been one of the benchmarks for academic research. This study addresses global SDG-related challenges through top research in physical sciences (PS) at the University of Split (UNIST). UNIST was selected as a case study of a small and relatively new EU university, with moderate funding and research capacity. A bibliometric approach was applied, and articles related to SDGs were presented (with 1 to 50 authors) in the top 5% Q1 journals within the Web of Science Core Collection (WoSCC) for Physical Sciences. Sixty-three of the eighty-three articles are related to SDGs (subcategories: Astronomy & Astrophysics, Chemistry, Geoscience, Multidisciplinary, Mathematics, Meteorology & Atmospheric Science, Multidisciplinary Sciences, Oceanography, Physics, Thermodynamics, and Water Resources). The study presents the following: (a) UNIST articles in the top 5% Q1 journals and corresponding SDGs up to 2022; (b) their citations; (c) their contribution to SDG achievement; (d) drivers of top performance in PS; (e) comparison with other universities in Mediterranean Croatia; (f) policy recommendations. The SDG-related research output in PS at UNIST has expanded through interdisciplinary approaches and international collaborations addressing complex global challenges. The highest citation impacts were found for SDG13 (191.88), SDG14 (167.4), and SDG6 (145.56). Although 26 articles were related to SDG3, their citation impact was lower (not targeting core biomedical research). For 10 articles related to SDG14, the citation impact was very high (167.4). The drivers of the top 5% performance of UNIST in PS are identified and policy recommendations as well as lessons learned are mentioned to improve the participation of small universities in EU or national research programs and foster international cooperation across the European Research Area (ERA) to address the SDGs. Full article
17 pages, 3381 KB  
Article
Hydrothermally Constructed ZnIn2S4/SrSnO3 Type-II Heterojunction for Highly Efficient Photocatalytic Hydrogen Evolution
by Zhang-Yi Xiong, Hao Liu, Yan Zhong, Chao-Hao Hu, Dian-Hui Wang, Tian Sang, Shi-Mei Liu, Ke-Wei Chen and Xian-Fu Pan
Inorganics 2026, 14(2), 57; https://doi.org/10.3390/inorganics14020057 - 12 Feb 2026
Abstract
To achieve high-performance photocatalysts, efficient separation of photogenerated charge carriers is critical to prolonging their lifetime and thereby enhancing the activity of the hydrogen evolution reaction. In this work, we rationally designed and synthesized a nanoflower-like SrSnO3/ZnIn2S4 heterostructure [...] Read more.
To achieve high-performance photocatalysts, efficient separation of photogenerated charge carriers is critical to prolonging their lifetime and thereby enhancing the activity of the hydrogen evolution reaction. In this work, we rationally designed and synthesized a nanoflower-like SrSnO3/ZnIn2S4 heterostructure by in situ embedding SrSnO3 nanorods within the layered framework of ZnIn2S4. Experimental results demonstrate that the 0.8%-SrSnO3/ZnIn2S4 composite exhibits a hydrogen evolution rate 13.79 times higher than that of pure ZnIn2S4 under simulated solar irradiation. This dramatic enhancement stems from the formation of a Type-II heterojunction at the interface, where the staggered band alignment generates an internal electric field that drives spatial separation of electrons and holes, effectively suppressing recombination and promoting charge utilization. This study validates that the strategic incorporation of a small amount of SrSnO3 into ZnIn2S4 represents a highly effective approach to significantly boost photocatalytic hydrogen production performance. Full article
(This article belongs to the Special Issue Mixed Metal Oxides, 3rd Edition)
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32 pages, 1450 KB  
Article
Metaheuristic-Driven Ensemble Learning for Robust Fracture Energy Prediction in FDM-Fabricated PLA Components
by Volkan Ates, Mehmet Eker, Ramazan Gungunes and Demet Zalaoglu
Polymers 2026, 18(4), 470; https://doi.org/10.3390/polym18040470 - 12 Feb 2026
Abstract
Additive manufacturing (AM) has reshaped production methodologies by enabling the fabrication of complex geometries for high-performance applications. As a leading AM technique, Fused Deposition Modeling (FDM) is widely used for its versatility. However, the structural reliability of FDM-printed parts is fundamentally dictated by [...] Read more.
Additive manufacturing (AM) has reshaped production methodologies by enabling the fabrication of complex geometries for high-performance applications. As a leading AM technique, Fused Deposition Modeling (FDM) is widely used for its versatility. However, the structural reliability of FDM-printed parts is fundamentally dictated by their mechanical performance, where impact toughness functions as a critical benchmark across demanding industrial environments. Polylactic acid (PLA) has distinguished itself as a premier biodegradable polymer, favored for its superior stiffness and processability. Nevertheless, the inherent brittleness and anisotropic behavior of FDM-printed PLA pose significant challenges, necessitating investigation of their fracture mechanics. This study firstly evaluates the impact toughness of FDM-processed PLA Izod specimens using impact tests, structured within a Taguchi design of experiments (DoE) methodology. An L27 orthogonal array was employed to investigate the influence of manufacturing parameters on impact behavior and fracture energy. Then, to achieve high-fidelity predictions from experimental data, the parametric effects were systematically investigated through an advanced machine learning framework. In the first stage, optimal prediction models were identified by evaluating five mathematical formulations hybridized with five nature-inspired optimization algorithms (GWO, SMA, GSA, FPA, and KH) across nine dataset combinations. In the second stage, these best-performing models were integrated into a metaheuristic ensemble using the GWO to perform a weighted aggregation. This hybrid ensemble methodology significantly enhanced predictive accuracy, achieving a Mean Absolute Percentage Error (MAPE) of 5.0847%, which represents a 37.3% relative improvement over the best individual base model. Full article
(This article belongs to the Special Issue Polymer Composites: Mechanical Characterization)
19 pages, 2769 KB  
Article
High-Temperature Tensile and Creep Properties of Highly Strong Heat-Elongated Polypropylene
by Karin Onaka and Hiromu Saito
Polymers 2026, 18(4), 469; https://doi.org/10.3390/polym18040469 - 12 Feb 2026
Abstract
We investigated the high-temperature tensile and creep properties of highly strong heat-elongated polypropylene (elongated PP) before and after long annealing for 21 days at a high temperature of 120 °C. Despite the thermal deterioration caused by the long annealing, the elongated PP exhibited [...] Read more.
We investigated the high-temperature tensile and creep properties of highly strong heat-elongated polypropylene (elongated PP) before and after long annealing for 21 days at a high temperature of 120 °C. Despite the thermal deterioration caused by the long annealing, the elongated PP exhibited high tensile strength. The yield stress values of the elongated and long-annealed (LA)-elongated PP obtained from engineering stress–strain curves were 60 MPa and 102 MPa, respectively, at 120 °C, whereas that of the unelongated PP was 8 MPa. Due to the suppression of crystalline chain motion at high temperature caused by the presence of crystalline fibrils connected to lamellae, as indicated by the high elastic modulus observed using a dynamic mechanical analyzer, the elongated PP also exhibited excellent high-temperature creep properties despite thermal deterioration. Small-angle X-ray scattering and DSC measurements revealed that lamellae were fragmented in the elongated PP, while the fragmentation of lamellae was suppressed in the LA-elongated PP during tensile stretching and creep. These characteristic deformation behaviors might also provide excellent high-temperature properties. The excellent high-temperature properties of the elongated PP are promising for industrial applications that require resistance to high temperatures. Full article
(This article belongs to the Special Issue Mechanical Behaviors and Properties of Polymer Materials, 2nd Edition)
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23 pages, 800 KB  
Article
Effects of 8 Weeks of Resistance Training Combined with a High-Protein Diet and Omega-3 Supplementation on Body Composition, Muscular Performance, and Muscle-Related Biomarkers in Overweight Women
by Bahareh Radfar, Reza Bagheri, Hamid Ghobadi, Ahmad Hematabadi, Babisan Askari, Amir Rashidlamir and Fred Dutheil
Nutrients 2026, 18(4), 611; https://doi.org/10.3390/nu18040611 - 12 Feb 2026
Abstract
Background: Overweight women are at increased risk of metabolic dysfunction, muscle loss, and reduced physical function during middle age. Resistance training (RT), combined with a high-protein diet and omega-3 supplementation, may help mitigate these risks; however, their combined effects remain unclear. Objective: To [...] Read more.
Background: Overweight women are at increased risk of metabolic dysfunction, muscle loss, and reduced physical function during middle age. Resistance training (RT), combined with a high-protein diet and omega-3 supplementation, may help mitigate these risks; however, their combined effects remain unclear. Objective: To examine whether omega-3 supplementation enhances the effects of RT combined with a high-protein diet on body composition, muscular performance, and selected biochemical markers in overweight women. Methods: Fifty-four overweight women (40–53 years) were randomly assigned to RT plus omega-3 supplementation with a high-protein diet (RO), RT plus placebo with a high-protein diet (RP), or a non-training control group (C). The RT intervention was performed three times per week for 8 weeks. Body composition, muscular performance, and circulating markers related to muscle metabolism and clinical safety were assessed before and after the intervention. Results: Forty-four participants completed the study. Both intervention groups demonstrated significant reductions in body mass and fat mass, alongside increases in skeletal muscle mass (SMM) and improvements in muscular strength, endurance, and power compared with the C group (p < 0.001). Markers related to muscle metabolism improved in both RT groups, with greater changes observed in the RO group. Clinical safety markers remained within normal ranges, with no between-group differences. Conclusions: Eight weeks of RT combined with a high-protein diet effectively improved body composition, muscle function, and anabolic signaling in overweight women. Short-term omega-3 supplementation selectively modulated biochemical markers but did not provide additional improvements in SMM, performance, or clinical safety markers, suggesting that its benefits may be limited without longer-term or higher-dose interventions. Full article
(This article belongs to the Section Sports Nutrition)
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13 pages, 1909 KB  
Article
Assessment of Creep Reduction Factors of High-Density Polyethylene Geogrids Using Conventional and Stepped Isothermal Methods
by Hang-Won Cho, Kap-Jin Kim, Nigel Edwin Wrigley, Hyun-Jin Koo and Suk-Won Choi
Materials 2026, 19(4), 714; https://doi.org/10.3390/ma19040714 - 12 Feb 2026
Abstract
The long-term creep performance of geosynthetics is crucial for the safe design of reinforced-soil structures. Previous studies have not sufficiently clarified the long-term creep behavior of high-density polyethylene (HDPE) geogrids or the influence of different failure criteria. Therefore, further research is needed to [...] Read more.
The long-term creep performance of geosynthetics is crucial for the safe design of reinforced-soil structures. Previous studies have not sufficiently clarified the long-term creep behavior of high-density polyethylene (HDPE) geogrids or the influence of different failure criteria. Therefore, further research is needed to validate creep reduction factors’ (RFCR) estimation and the applicability of the stepped isothermal method (SIM). In this study, the creep behavior of HDPE geogrids was examined using both conventional creep tests and SIM, conducted in accordance with ISO 13431 and ASTM D6992. Master curves were generated under load levels representing 40–60% of the ultimate tensile strength. The SIM results matched with the conventional tests in the early stage but exhibited higher creep strains beyond 1000 h, primarily due to the thermal sensitivity of HDPE. RFCR values were determined using two design criteria, namely, 20% creep strain and creep rupture. For a 100-year design life, the RFCR values based on a 20% creep strain were determined to be 3.04 and 2.43 based on the combined data and block-shift analysis, respectively, whereas the rupture criterion yielded a lower value of 2.30. These findings demonstrate that the 20% strain limit provides a more conservative and reliable criterion for estimating the long-term design strength. This study confirms the applicability of SIM for accelerated creep evaluation and provides practical guidance for the selection of RFCR values in reinforced-soil design. Full article
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24 pages, 3143 KB  
Article
Modulating Peroxidase-like Activity of Fe3O4@Pt@poly-LDOPA and Its Application as Multifunctional Magnetic Probes Towards SARS-CoV-2 Detection
by Lorico Delos Santos Lapitan, Jr., Jan Olgierd Górniaszek, Maciej Trzaskowski and Mariusz Pietrzak
Appl. Sci. 2026, 16(4), 1858; https://doi.org/10.3390/app16041858 - 12 Feb 2026
Abstract
We report a Fe3O4@Pt@poly-LDOPA nanozyme that displays enhanced peroxidase (POD)-like activity. Polymerisation of levodopa onto the surface of Fe3O4@Pt yields a carboxyl-rich poly-LDOPA shell that is available for bioconjugation with antibodies and other types of [...] Read more.
We report a Fe3O4@Pt@poly-LDOPA nanozyme that displays enhanced peroxidase (POD)-like activity. Polymerisation of levodopa onto the surface of Fe3O4@Pt yields a carboxyl-rich poly-LDOPA shell that is available for bioconjugation with antibodies and other types of receptors. Physicochemical characterisation confirmed the integrity of the Fe3O4 core, successful Pt modification, and formation of the polymer coating under acidic and basic conditions. Steady-state kinetic analysis using the Michaelis–Menten model revealed robust catalytic performance toward both substrates: for H2O2, Vmax = 4.0 × 10−8 M·s−1 and Km = 25.13 mM; for TMB, Vmax = 6.07 × 10−8 M·s−1 and Km = 0.229 mM, indicative of high turnover and strong apparent affinity for the chromogenic substrate. A nanozyme-linked immunosorbent assay for the SARS-CoV-2 nucleocapsid was developed. The anti-nucleocapsid antibodies were immobilised onto Fe3O4@Pt@poly-LDOPA via EDC/NHS. In buffer, the calibration range (1.0–100 ng·mL−1) afforded an LOD of 6.95 ng·mL−1. In 10% human serum, reduced background and improved nanozyme dispersion yielded a linear low-concentration response (0.1–10 ng·mL−1), with an LOD of 0.0036 ng·mL−1. These results establish Fe3O4@Pt@poly-LDOPA as a promising inorganic–organic nanozyme platform that combines catalytic effectiveness, magnetic manipulability, and facile bioconjugation for immunosensing of various disease-related biomarkers. Full article
(This article belongs to the Special Issue Application of Magnetic Nanoparticles)
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15 pages, 628 KB  
Article
Lifestyle Outcomes Six and Twelve Months After Hypertensive Disorders of Pregnancy: A Blood Pressure Postpartum Sub-Study
by Jenny Zhang, Lynne Roberts, Kaylee Slater, Justine Salisbury, Megan Gow and Amanda Henry
Nutrients 2026, 18(4), 610; https://doi.org/10.3390/nu18040610 - 12 Feb 2026
Abstract
Background/Objectives: Hypertensive disorders of pregnancy (HDP) increase the risk of cardiovascular disease (CVD), but few studies have explored the efficacy of lifestyle interventions to improve CVD risk post-HDP. This study compared the 6 month (6M) and 12 month (12M) dietary and physical [...] Read more.
Background/Objectives: Hypertensive disorders of pregnancy (HDP) increase the risk of cardiovascular disease (CVD), but few studies have explored the efficacy of lifestyle interventions to improve CVD risk post-HDP. This study compared the 6 month (6M) and 12 month (12M) dietary and physical activity outcomes of women post-HDP participating in one of three lifestyle interventions. Methods: This sub-study of the Blood Pressure Postpartum (BP2) randomised controlled trial included participants from six hospitals across Sydney, Australia, randomly assigned to one of three groups: Group 1 (usual care) received general postpartum health information; Group 2 (brief education) received usual care plus an individualised cardiovascular risk assessment and lifestyle counselling; Group 3 (extended lifestyle) received all Group 2 components plus enrolment in a six-month telephone coaching programme. Baseline and post-intervention data were collected at 6M and 12M, respectively. Diet and physical activity were assessed using the NSW Population Health Survey, alongside cardiometabolic measures. Results: Overall, 405 women provided complete 6M and 12M data (Group 1 n = 129, Group 2 n = 137, Group 3 n = 139). From 6M to 12M, Group 3 increased their vegetable serves/day (3.0 vs. 2.0, p = 0.001). No significant changes in fruit intake and physical activity levels were observed among groups. Groups 2 and 3 reported that nutritional information had a greater influence on their food choices at 12M (p = 0.010 and p < 0.001, respectively). At 12M, higher vegetable and fruit intake correlated with lower body mass index (BMI) (p = 0.006, p = 0.003) and waist circumference (p = 0.035, p = 0.014), and increased vigorous and strength exercise correlated with lower BMI (p = 0.005, p = 0.003) and waist circumference (p < 0.001, p < 0.001). Conclusions: Intensive lifestyle interventions improved vegetable intake and nutrition awareness in post-HDP women at 12M, holding promise for long-term cardiometabolic health benefits. Full article
(This article belongs to the Section Nutrition in Women)
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