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12 pages, 1001 KB  
Article
The Effect of Selective Occlusal Adjustment on the Disclusion Time Reduction and Symmetry of Occlusal Contacts of the Own Dentition Using Digital Occlusion Analysis in Patients with Temporomandibular Disorders
by Wojciech Maga, Martyna Schönborn and Małgorzata Pihut
J. Clin. Med. 2025, 14(19), 7007; https://doi.org/10.3390/jcm14197007 (registering DOI) - 3 Oct 2025
Abstract
Background/Objectives: Occlusal disturbances occurring during central occlusion, mandibular movements and mastication may contribute to the development of temporomandibular disorders (TMDs). To reduce the disclusion time (DT) in all mandibular contacts, a procedure known as enameloplasty can be applied. The aim of this [...] Read more.
Background/Objectives: Occlusal disturbances occurring during central occlusion, mandibular movements and mastication may contribute to the development of temporomandibular disorders (TMDs). To reduce the disclusion time (DT) in all mandibular contacts, a procedure known as enameloplasty can be applied. The aim of this study was to evaluate the effect of occlusion-correcting treatments on disclusion time reduction, determination of the center of force, and the distribution of masticatory forces on the right and left side, through digital occlusal analysis in patients with TMD. Methods: The single-centered, prospective study including 106 patients with TMD after 6 months of prosthetic treatment. Digital occlusal analysis was performed before and after the enameloplasty to assess occlusion time, disclusion time and symmetry of occlusal contacts. Results: Selective enameloplasty significantly reduced disclusion time in the whole study population (0.8 vs. 0.4 s; p < 0.001), with greater improvement observed in patients with inappropriate Center of Force (COF) and premature occlusal contacts. Conclusions: Digital occlusal analysis-guided selective enameloplasty effectively reduces disclusion time and can improve occlusal parameters in TMD patients. Full article
26 pages, 2266 KB  
Article
Two-Sided Matching with Bounded Rationality: A Stochastic Framework for Personnel Selection
by Saeed Najafi-Zangeneh, Naser Shams-Gharneh and Olivier Gossner
Mathematics 2025, 13(19), 3173; https://doi.org/10.3390/math13193173 (registering DOI) - 3 Oct 2025
Abstract
Personnel selection represents a two-sided matching problem in which firms compete for qualified candidates by designing job-offer packages. While traditional models assume fully rational agents, real-world decision-makers often face bounded rationality due to limited information and cognitive constraints. This study develops a matching [...] Read more.
Personnel selection represents a two-sided matching problem in which firms compete for qualified candidates by designing job-offer packages. While traditional models assume fully rational agents, real-world decision-makers often face bounded rationality due to limited information and cognitive constraints. This study develops a matching framework that incorporates bounded rationality through the Quantal Response Equilibrium, where firms and candidates act as probabilistic rather than perfect optimizers under uncertainty. Using Maximum Likelihood Estimation and organizational hiring data, we validate that both sides display bounded rational behavior and that rationality increases as the selection process advances. Building on these findings, we propose a two-stage stochastic optimization approach to determine optimal job-offer packages that balance organizational policies with candidate competencies. The optimization problem is solved using particle swarm optimization, which efficiently explores the solution space under uncertainty. Data analysis reveals that only 23.10% of low-level hiring decisions align with rational choice predictions, compared to 64.32% for high-level positions. In our case study, bounded rationality increases package costs by 26%, while modular compensation packages can reduce costs by up to 25%. These findings highlight the cost implications of bounded rationality, the advantages of flexible offers, and the systematic behavioral differences across job levels. The framework provides theoretical contributions to matching under bounded rationality and offers practical insights to help organizations refine their personnel selection strategies and attract suitable candidates more effectively. Full article
(This article belongs to the Section D2: Operations Research and Fuzzy Decision Making)
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38 pages, 2485 KB  
Review
Research Progress of Deep Learning-Based Artificial Intelligence Technology in Pest and Disease Detection and Control
by Yu Wu, Li Chen, Ning Yang and Zongbao Sun
Agriculture 2025, 15(19), 2077; https://doi.org/10.3390/agriculture15192077 (registering DOI) - 3 Oct 2025
Abstract
With the rapid advancement of artificial intelligence technology, the widespread application of deep learning in computer vision is driving the transformation of agricultural pest detection and control toward greater intelligence and precision. This paper systematically reviews the evolution of agricultural pest detection and [...] Read more.
With the rapid advancement of artificial intelligence technology, the widespread application of deep learning in computer vision is driving the transformation of agricultural pest detection and control toward greater intelligence and precision. This paper systematically reviews the evolution of agricultural pest detection and control technologies, with a special focus on the effectiveness of deep-learning-based image recognition methods for pest identification, as well as their integrated applications in drone-based remote sensing, spectral imaging, and Internet of Things sensor systems. Through multimodal data fusion and dynamic prediction, artificial intelligence has significantly improved the response times and accuracy of pest monitoring. On the control side, the development of intelligent prediction and early-warning systems, precision pesticide-application technologies, and smart equipment has advanced the goals of eco-friendly pest management and ecological regulation. However, challenges such as high data-annotation costs, limited model generalization, and constrained computing power on edge devices remain. Moving forward, further exploration of cutting-edge approaches such as self-supervised learning, federated learning, and digital twins will be essential to build more efficient and reliable intelligent control systems, providing robust technical support for sustainable agricultural development. Full article
27 pages, 8850 KB  
Article
Dual-Path Framework Analysis of Crack Detection Algorithm and Scenario Simulation on Fujian Tulou Surface
by Yanfeng Hu, Shaokang Chen, Zhuang Zhao and Si Cheng
Coatings 2025, 15(10), 1156; https://doi.org/10.3390/coatings15101156 - 3 Oct 2025
Abstract
Fujian Tulou, a UNESCO World Heritage Site, is highly vulnerable to environmental and anthropogenic stresses, with its earthen walls prone to surface cracking that threatens both structural stability and cultural value. Traditional manual inspection is inefficient, subjective, and may disturb fragile surfaces, highlighting [...] Read more.
Fujian Tulou, a UNESCO World Heritage Site, is highly vulnerable to environmental and anthropogenic stresses, with its earthen walls prone to surface cracking that threatens both structural stability and cultural value. Traditional manual inspection is inefficient, subjective, and may disturb fragile surfaces, highlighting the need for non-destructive and automated solutions. This study proposes a dual-path framework that integrates lightweight crack detection with independent physical simulation. On the detection side, an improved YOLOv12 model is developed to achieve lightweight and accurate recognition of multiple crack types under complex wall textures. On the simulation side, a two-layer RFPA3D model was employed to parameterize loading conditions and material thickness, reproducing the four-stage crack evolution process, and aligning well with field observations. Quantitative validation across paired samples demonstrates improved consistency in morphology, geometry, and topology compared with baseline models. Overall, the framework offers an effective and interpretable solution for standardized crack documentation and mechanistic interpretation, providing practical benefits for the preventive conservation and sustainable management of Fujian Tulou. Full article
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14 pages, 1128 KB  
Article
Factors Associated with Suboptimal Adherence to Tyrosine Kinase Inhibitors in Patients with Renal Cell Carcinoma—A Retrospective Cohort Study
by Fiona Angus, Jingkun Sun, Wan-Chuen Liao, Arfan Khan and Li-Chia Chen
Pharmacoepidemiology 2025, 4(4), 20; https://doi.org/10.3390/pharma4040020 - 3 Oct 2025
Abstract
Background: Adherence to tyrosine kinase inhibitors (TKIs), the first-line treatment for renal cell carcinoma (RCC), is critical to ensure intended treatment outcomes. However, 75% of patients with RCC have persistency gaps (>7 days) within the first 90 days after initiating TKIs. This [...] Read more.
Background: Adherence to tyrosine kinase inhibitors (TKIs), the first-line treatment for renal cell carcinoma (RCC), is critical to ensure intended treatment outcomes. However, 75% of patients with RCC have persistency gaps (>7 days) within the first 90 days after initiating TKIs. This study explored factors affecting TKI adherence in RCC patients to inform future interventions. Methods: A retrospective cohort study was conducted at a specialist oncology hospital in Northwest England from October 2020 to October 2022 on patients with RCC treated with TKIs. TKI prescriptions and persistence gaps (>7 days) were identified from electronic dispensing records. Factors associated with persistence gaps were retrieved by reviewing patients’ clinical records. We used descriptive statistics to summarise the results and Kaplan–Meier analysis to assess the probability and the time to the first gap, stratified by adverse drug effect (ADE)-related and non-ADE-related gaps. Results: Among 165 included patients, 611 persistence gaps were identified. ADEs accounted for 59% (n = 464) of 787 recorded factors, with diarrhoea being the most frequent ADE (9.5%). Patients holding leftover TKIs were the primary (15.1%) non-ADE factor for persistency gaps. At least one gap was observed with 82% of patients (n = 135); 19% had ≥5 ADE-related gaps, and 25% had ≥5 non-ADE-related gaps. ADE-related gaps typically occurred within the first three months (50%), while non-ADE-related gaps were not time-dependent. Conclusions: ADEs, including diarrhoea and pain-related reactions, were the most frequently reported issues affecting TKI persistency in patients with RCC. These ADEs are likely to impact patients’ quality of life and adherence. Future qualitative research is warranted to explore patients’ care needs and additional factors such as health literacy and self-efficacy. Full article
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29 pages, 8366 KB  
Article
Behavior of Composite Concrete-Filled Double-Web Steel Beams: A Numerical and Experimental Investigation
by Abbas Jalal Kaishesh, Ghazi Jalal Kashesh, Sadjad Amir Hemzah, Bahaa Hussain Mohammed, Anmar Dulaimi and Luís Filipe Almeida Bernardo
J. Compos. Sci. 2025, 9(10), 541; https://doi.org/10.3390/jcs9100541 - 3 Oct 2025
Abstract
This study investigates the structural behavior of composite double-web steel beams filled with different types of concrete made from a combination of recycled concrete aggregates and normal aggregates. The research includes both experimental and numerical analyses. Seven specimens were tested under symmetrical two-point [...] Read more.
This study investigates the structural behavior of composite double-web steel beams filled with different types of concrete made from a combination of recycled concrete aggregates and normal aggregates. The research includes both experimental and numerical analyses. Seven specimens were tested under symmetrical two-point loading, all having identical geometric properties: a span length of 1100 mm, flange plates 120 mm wide and 6 mm thick, and web plates 3 mm thick and 188 mm deep. The specimens were divided into two groups, with a control beam without concrete infill. Group one included beams filled with normal concrete in different locations (middle region, two sides, and fully filled), while group two mirrored the same fill locations but used recycled concrete instead. The experimental results showed that using normal concrete improved the ultimate load by 10.19% to 55.30%, with the fully filled beam achieving a maximum increase in ductility of about 568% and a stiffness improvement ranging from 2.6% to 39% compared to the control beam. Beams filled with recycled concrete showed increases in ultimate load from 9.52% to 42.03%, ductility improvements of up to 380%, and stiffness enhancements between 4.5% and 8.03%. Numerical modeling using ABAQUS (2021) showed excellent agreement with the experimental results, with differences in ultimate load and maximum deflection averaging 5.5% and 7.9%, respectively. Full article
(This article belongs to the Special Issue Theoretical and Computational Investigation on Composite Materials)
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16 pages, 1152 KB  
Article
Tacrolimus-Associated Tremor in Renal Transplant Patients: Potential Impact of the Galenic Formulation
by Jordi Rovira, Olga Millán, Pedro Ventura-Aguiar, Mercè Brunet and Fritz Diekmann
Pharmaceuticals 2025, 18(10), 1488; https://doi.org/10.3390/ph18101488 - 3 Oct 2025
Abstract
Background/Objectives: Tacrolimus is the most used immunosuppressive agent in solid organ transplantation due to its efficacy in preventing acute rejection, but it has a narrow therapeutic range, and overexposure often leads to toxicities, including neurological side effects like tremors. Tremor affects up to [...] Read more.
Background/Objectives: Tacrolimus is the most used immunosuppressive agent in solid organ transplantation due to its efficacy in preventing acute rejection, but it has a narrow therapeutic range, and overexposure often leads to toxicities, including neurological side effects like tremors. Tremor affects up to 54% of renal transplant patients under tacrolimus. Extended-release tacrolimus (LCPT) has demonstrated efficacy in reducing tremor severity, as evidenced by studies employing quality of life (QoL) questionnaires, the Fahn–Tolosa–Marin (FTM) scale, and Accelerometer devices. The objectives of this study were to evaluate the benefits of the conversion to LCPT formulation in kidney transplant recipients experiencing tremors on prolonged-release tacrolimus (PR-TAC) treatment and to validate the DyCare device, a wearable wireless sensor for tremors. Results: The DyCare device measured tremor frequencies of 8.74 ± 0.11 Hz and 1.36 ± 0.08° and 17.38 ± 1.16°, as root mean square (RMSx100 for accelerometer and Gyroscope, respectively) in PR-TAC patients. After switching ten patients to LCPT, tremor severity significantly decreased, as confirmed by DyCare and the QoL in the Essential Tremor Questionnaire (QUEST). Additionally, LCPT allowed a 34% reduction in tacrolimus dosage while maintaining therapeutic trough concentrations. Immunological and pharmacodynamic biomarkers (p-miR-210-3p, p-IL10, p-IL12p70, p-IFNγ uCXCL10, NFAT-regulated gene expression) confirmed stable immunosuppression post-conversion. Conclusions: The conversion to the LCPT formulation significantly reduced tremors in kidney transplant recipients without altering their immunological status, as confirmed through a panel of immunologic and pharmacodynamic biomarkers. The DyCare device enables a precise quantification of tremors in transplant recipients, allowing physicians to optimize treatment strategies. Full article
(This article belongs to the Section Pharmaceutical Technology)
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15 pages, 26587 KB  
Article
Effects of a Natural Polyherbal Extract on Alleviating Scopolamine-Induced Memory Deficits in C57BL/6 Mice via Enhancing Cholinergic Function
by Hyeokjin Kwon, Min Ho Kwon, Myeongguk Jeong, Yeeun Kim, Hae-Gyung Yoon, Yeongdon Ju, Kyung-Yae Hyun and Go-Eun Choi
Curr. Issues Mol. Biol. 2025, 47(10), 817; https://doi.org/10.3390/cimb47100817 - 2 Oct 2025
Abstract
Alzheimer’s disease (AD) is a progressive neurological condition with limited effective pharmaceutical treatments, often accompanied by side effects. This has increased interest in plant-based alternatives. This study examined the cognitive effects of a Natural Polyherbal Extract (NPX) on scopolamine-induced memory deficits in mice. [...] Read more.
Alzheimer’s disease (AD) is a progressive neurological condition with limited effective pharmaceutical treatments, often accompanied by side effects. This has increased interest in plant-based alternatives. This study examined the cognitive effects of a Natural Polyherbal Extract (NPX) on scopolamine-induced memory deficits in mice. Male C57BL/6 mice (10 weeks old, n = 36) were divided into four groups: control (saline), scopolamine (1 mg/kg, i.p.), tacrine (10 mg/kg, oral), and NPX (1000 mg/kg, oral). NPX and tacrine were administered daily by oral gavage for two weeks. Cognitive function was assessed weekly using the Y-maze task. Brain tissues were collected for biochemical analysis, including AChE activity and immunohistochemical detection of neurodegeneration-related markers. Results: Mice treated with NPX demonstrated improved spontaneous alternation behavior compared to the scopolamine group. NPX also significantly reduced acetylcholinesterase activity. Immunohistochemistry revealed decreased expression of amyloid-beta (Aβ) and caspase-3, with enhanced choline acetyltransferase levels. These outcomes were comparable to those observed in the tacrine-treated group. Conclusions: NPX alleviated scopolamine-induced memory impairment through enhancement of cholinergic signaling and mitigation of neurodegenerative markers. The findings suggest that NPX may serve as a promising plant-derived candidate for managing memory-related disorders, including AD. Full article
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13 pages, 1918 KB  
Article
Characteristics of Infective Endocarditis in Intravenous Drug Users vs. Non-Users: A Retrospective Study Conducted in Bucharest, Romania
by Adina-Alexandra Nanu, Dragos Ștefan Lazăr, Corneliu Petru Popescu, Miruna-Ioana Lazăr, Maria Nica and Simin Aysel Florescu
Medicina 2025, 61(10), 1785; https://doi.org/10.3390/medicina61101785 - 2 Oct 2025
Abstract
Background and Objectives: Infective endocarditis (IE) remains a severe infection with high morbidity and mortality, particularly among people who inject drugs (PWID). Data from Eastern Europe are limited, despite the increasing burden of intravenous drug use in the region. Materials and Methods [...] Read more.
Background and Objectives: Infective endocarditis (IE) remains a severe infection with high morbidity and mortality, particularly among people who inject drugs (PWID). Data from Eastern Europe are limited, despite the increasing burden of intravenous drug use in the region. Materials and Methods: We conducted a retrospective, observational cohort study of 153 patients diagnosed with IE and admitted to the “Dr. Victor Babeș” Clinical Hospital for Infectious and Tropical Diseases in Bucharest, Romania, between August 2019 and July 2024. Patients were classified into PWID (n = 51) and non-PWID (n = 102). Clinical characteristics, microbiological profiles, echocardiographic findings, complications, and outcomes (in-hospital, 10-week, and 12-month mortality) were compared between groups. Results: PWID were significantly younger (mean 34.0 ± 6.6 years vs. 64.3 ± 13.1 years; p < 0.001), predominantly male (86.3% vs. 62.7%; p = 0.003) and had higher rates of HIV (64.7%) and HCV (98.1%). Right-sided IE and larger vegetations were more common in PWID, whereas non-PWID had more left-sided disease, pre-existing valvular pathology, and prosthetic valve involvement. Staphylococcus aureus predominated in PWID (68.6% vs. 27.5%; p < 0.001), while non-PWID had more Streptococcus spp. and Coxiella burnetii cases. Embolic complications, particularly pulmonary emboli, and valvular rupture were significantly more frequent in PWID, while non-PWID had higher rates of heart failure and surgical interventions. In-hospital mortality was similar (17.6% vs. 11.8%; p = 0.318), but 12-month mortality was higher in PWID (27.5% vs. 13.7%; p = 0.038). Conclusions: IE in PWID shows a distinct clinical and microbiological profile, with more aggressive complications and worse long-term survival. Tailored management, early diagnosis, harm reduction programs, and dedicated follow-up are urgently needed in this high-risk population. Full article
(This article belongs to the Section Infectious Disease)
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54 pages, 5812 KB  
Review
Advancing Renewable-Dominant Power Systems Through Internet of Things and Artificial Intelligence: A Comprehensive Review
by Temitope Adefarati, Gulshan Sharma, Pitshou N. Bokoro and Rajesh Kumar
Energies 2025, 18(19), 5243; https://doi.org/10.3390/en18195243 - 2 Oct 2025
Abstract
The sudden increase in global energy demand has prompted the integration of Artificial Intelligence and the Internet of Things into the utility grid. The synergy of Artificial Intelligence and the Internet of Things in renewable energy sources has emerged as a promising solution [...] Read more.
The sudden increase in global energy demand has prompted the integration of Artificial Intelligence and the Internet of Things into the utility grid. The synergy of Artificial Intelligence and the Internet of Things in renewable energy sources has emerged as a promising solution for the development of smart grids and a transformative catalyst that restructures centralized power systems into resilient and sustainable systems. The state-of-the-art of the Internet of Things and Artificial Intelligence is presented in this paper to support the design, planning, operation, management and optimization of renewable energy-based power systems. This paper outlines the benefits of smart and resilient energy systems and the contributions of the Internet of Things across several applications, devices and networks. Artificial Intelligence can be utilized for predictive maintenance, demand-side management, fault detection, forecasting and scheduling. This paper highlights crucial future research directions aimed at overcoming the challenges that are associated with the adoption of emerging technologies in the power system by focusing on market policy and regulation and the human-centric and ethical aspects of Artificial Intelligence and the Internet of Things. The outcomes of this study can be used by policymakers, researchers and development agencies to improve global access to electricity and accelerate the development of sustainable energy systems. Full article
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13 pages, 2835 KB  
Article
Electromyographic Validation of the DMA Clinical Pilates Method for Classifying Muscle Impairments in Chronic Ankle Instability
by Yuen Keong Chua, Jonas Rui Cheng Ang, John Kok Hong Wong and Boon Chong Kwok
BioMed 2025, 5(4), 23; https://doi.org/10.3390/biomed5040023 - 2 Oct 2025
Abstract
Background/Objectives: Chronic ankle instability is a common issue after lateral ankle sprain. The DMA Clinical Pilates method hypothesizes impairments in tibialis anterior and fibularis longus muscles. Methods: A total of 14 adults with chronic ankle instability, and 15 recovered and 16 healthy individuals [...] Read more.
Background/Objectives: Chronic ankle instability is a common issue after lateral ankle sprain. The DMA Clinical Pilates method hypothesizes impairments in tibialis anterior and fibularis longus muscles. Methods: A total of 14 adults with chronic ankle instability, and 15 recovered and 16 healthy individuals were prospectively recruited and assessed for lower back, hip, knee, and ankle muscle activities during dominant and non-dominant sides single-leg stand on stable and unstable surfaces using wireless surface electromyography. Results: The study found consistent dysfunction in tibialis anterior muscle activity in adults with chronic ankle instability when compared with healthy adults during single-leg stand on stable and unstable surfaces, and against recovered individuals on unstable surface. As compared to healthy controls, chronic ankle instability group showed higher vastus lateralis activation during dominant side single-leg stand across surface conditions and during dominant side single-leg stand, while the higher dominant side longissimus dorsi activity on stable surface changed to higher dominant side medial gastrocnemius activity on unstable surface. As compared to recovered controls, chronic ankle instability group also showed higher gluteus medius and fibularis longus muscle activities on unstable surface. Conclusions: Tibialis anterior muscle is the main dysfunction among individuals with chronic ankle instability side. Full article
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22 pages, 3956 KB  
Article
Aptamer-Modified Magnetic Nanoparticles as Targeted Drug Delivery Systems for Hepatocellular Carcinoma
by Alexandra Pusta, Mihaela Tertis, Bianca Ciocan, Rodica Turcu, Izabell Crăciunescu, Victor C. Diculescu, George E. Stan, Stefan Bulat, Alina Porfire, Andreea-Elena Petru, Ionel Fizeșan, Simona Mirel and Cecilia Cristea
Pharmaceutics 2025, 17(10), 1292; https://doi.org/10.3390/pharmaceutics17101292 - 2 Oct 2025
Abstract
Background: Hepatocellular carcinoma is associated with high mortality and increasing incidence. Sorafenib, a cornerstone of therapy for advanced hepatocellular carcinoma, presents certain disadvantages, including low bioavailability and poor water solubility. This work describes a new strategy for sorafenib-targeted delivery aimed at improving [...] Read more.
Background: Hepatocellular carcinoma is associated with high mortality and increasing incidence. Sorafenib, a cornerstone of therapy for advanced hepatocellular carcinoma, presents certain disadvantages, including low bioavailability and poor water solubility. This work describes a new strategy for sorafenib-targeted delivery aimed at improving treatment efficiency and reducing side effects. Methods: Magnetic nanoparticles coated with azelaic acid were modified with aptamer molecules that specifically recognize human liver cancer cell line HepG2, ensuring specificity for the tumor tissue. The nanoparticles were further loaded with sorafenib. The obtained drug delivery system was extensively characterized using UV-Vis spectrophotometry, transmission electron microscopy, X-ray diffraction, Fourier-transform infrared spectroscopy, X-ray photoelectron spectroscopy, and electrochemical impedance spectroscopy. Results: The drug delivery system demonstrated a higher release of sorafenib at acidic pH compared to pH 7.4. The cell internalization of the bare and aptamer-modified magnetic nanoparticles was assessed in HepG2 and human normal foreskin fibroblasts BJ cell lines, demonstrating that the aptamer significantly enhances internalization in tumor cells, while having no impact on healthy cells. Conclusions: The sorafenib-modified nanoparticles exhibited excellent cytocompatibility with BJ cells across all tested concentrations, while showing cytotoxicity towards HepG2 cells at higher concentrations, confirming the selectivity of the system. Full article
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24 pages, 5840 KB  
Article
Numerical Study of Blast Load Acting on Typical Precast Segmental Reinforced Concrete Piers in Near-Field Explosions
by Lu Liu, Zhouhong Zong, Yulin Shan, Yao Yao, Chenglin Li and Yihao Cheng
CivilEng 2025, 6(4), 53; https://doi.org/10.3390/civileng6040053 - 2 Oct 2025
Abstract
Explosions, including those from war weapons, terrorist attacks, etc., can lead to damage and overall collapse of bridges. However, there are no clear guidelines for anti-blast design and protective measures for bridges under blast loading in current bridge design specifications. With advancements in [...] Read more.
Explosions, including those from war weapons, terrorist attacks, etc., can lead to damage and overall collapse of bridges. However, there are no clear guidelines for anti-blast design and protective measures for bridges under blast loading in current bridge design specifications. With advancements in intelligent construction, precast segmental bridge piers have become a major trend in social development. There is a lack of full understanding of the anti-blast performance of precast segmental bridge piers. To study the engineering calculation method for blast load acting on a typical precast segmental reinforced concrete (RC) pier in near-field explosions, an air explosion test of the precast segmental RC pier is firstly carried out, then a fluid–structure coupling numerical model of the precast segmental RC pier is established and the interaction between the explosion shock wave and the precast segmental RC pier is discussed. A numerical simulation of the precast segmental RC pier in a near-field explosion is conducted based on a reliable numerical model, and the distribution of the blast load acting on the precast segmental RC pier in the near-field explosion is analyzed. The results show that the reflected overpressure on the pier and the incident overpressure in the free field are reliable. The simulation results are basically consistent with the experimental results (with a relative error of less than 8%), and the fluid–structure coupling model is reasonable and reliable. The explosion shock wave has effects of reflection and circulation on the precast segmental RC pier. In the near-field explosion, the back and side blast loads acting on the precast segmental RC bridge pier can be ignored in the blast-resistant design. The front blast loads can be simplified and equalized, and a blast-resistant design load coefficient (1, 0.2, 0.03, 0.02, and 0.01) and a calculation formula of maximum equivalent overpressure peak value (applicable scaled distance [0.175 m/kg1/3, 0.378 m/kg1/3]) are proposed, which can be used as a reference for the blast-resistant design of precast segmental RC piers. Full article
(This article belongs to the Section Mathematical Models for Civil Engineering)
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19 pages, 2069 KB  
Article
Ecology of River Dolphins and Fish at Confluence Aggregations in the Peruvian Amazon
by Richard Bodmer, Peter Henderson, Claire Spence, Tara A. O. Garraty, Kimberlyn Chota, Paola Uraco, Miguel Antunez, Tula Fang, Jack Butcher, Jake E. Bicknell, Osnar Pizuri and Pedro Mayor
Fishes 2025, 10(10), 495; https://doi.org/10.3390/fishes10100495 - 2 Oct 2025
Abstract
Amazon River dolphins often form multi-species aggregations at water confluences. This study used a multi-year data set to examine dolphins, fish, and geomorphology at dolphin aggregations. Methods included dolphin transect surveys, dolphin point counts, net and line fish captures, side-scan sonar, and eDNA [...] Read more.
Amazon River dolphins often form multi-species aggregations at water confluences. This study used a multi-year data set to examine dolphins, fish, and geomorphology at dolphin aggregations. Methods included dolphin transect surveys, dolphin point counts, net and line fish captures, side-scan sonar, and eDNA analyses at five dolphin aggregations and two control sites. Amazon River dolphins (Inia geoffrensis and Sotalia fluviatlis) are typically found at aggregation sites that occur at water confluences that have greater dolphin numbers than control sites. The confluences had riverbed depressions averaging six metres in depth where fish were concentrated. Pink river dolphins preferred to form aggregations in flooded forest tributaries and large rivers, while grey river dolphins preferred the larger rivers. There were eighty-nine fish species at the confluences within the size of fish consumed by dolphins, and a higher abundance of fish occurred in and around the aggregation sites compared to control sites. The number of dolphins present at the aggregation sites correlated with fish abundance. Dolphin life history, such as fishing, resting, raising calves, and social interactions, occur at the aggregation sites. The aggregation sites are important conservation areas of the endangered pink and grey river dolphins, and through their folklore, Indigenous people living at confluence sites assist in the conservation of the aggregations and have lived with dolphins at confluences for thousands of years, contributing to their survival. Full article
(This article belongs to the Section Biology and Ecology)
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13 pages, 917 KB  
Article
Evaluation of Chemical and Functional Properties of Pectin-like Polymers Extracted from Tomato Using Conventional Acid Extraction
by Onome Obodo-Ovie, Mohammad Alyassin, Alan M. Smith and Gordon A. Morris
Macromol 2025, 5(4), 46; https://doi.org/10.3390/macromol5040046 - 2 Oct 2025
Abstract
The present study focuses on the extraction, characterisation, and functional properties of pectin-like polymers from tomatoes. The results revealed that the highest pectin yield (35.5%) of the dry weight was extracted at pH 1, whilst the lowest yield (25.4%) was extracted at pH [...] Read more.
The present study focuses on the extraction, characterisation, and functional properties of pectin-like polymers from tomatoes. The results revealed that the highest pectin yield (35.5%) of the dry weight was extracted at pH 1, whilst the lowest yield (25.4%) was extracted at pH 3. Fourier Transform Infrared (FTIR) spectra displayed major peaks at 2900–3300 cm−1 and 900–1100 cm−1, which are typical of carbohydrate polymers. A compositional analysis revealed the presence of six monosaccharides (glucose, arabinose, fucose, galactose, mannose, and galacturonic acid) together with trace amounts of xylose, which are typical of pectin (or pectin-like) structures. This suggests that the pectin-like polymers have galactan and/or arabinan side chains. The emulsifying activities and stabilities were ≥50% and ≥96%, respectively. The pectin-like polymers also demonstrated notable antioxidant activities (70%) when determined using the 1-diphenyl-2-picrylhydrazyl (DPPH) assay. Full article
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