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15 pages, 1973 KiB

Open AccessArticle

Factors Affecting the Survival of Metastatic Breast Cancer Patients Treated with CDK 4/6 Inhibitors

by Zehra Sucuoğlu İşleyen, Harun Muğlu, Zeynep Alaca Topçu, Mehmet Beşiroğlu, Ayşe İrem Yasin, Atakan Topçu, Melih Şimşek, Mesut Şeker and Hacı Mehmet Türk

Medicina 2025, 61(7), 1279; https://doi.org/10.3390/medicina61071279 (registering DOI) - 16 Jul 2025

Abstract

Background and Objective: We aim to determine the efficacy and the factors associated with the effectiveness of first-line CDK4/6i (ribociclib or palbociclib) treatment in HR-positive, HER2-negative MBC patients. Materials and Methods: This is a retrospective, cross-sectional, and descriptive study. Ninety patients with metastatic [...] Read more.

Background and Objective: We aim to determine the efficacy and the factors associated with the effectiveness of first-line CDK4/6i (ribociclib or palbociclib) treatment in HR-positive, HER2-negative MBC patients. Materials and Methods: This is a retrospective, cross-sectional, and descriptive study. Ninety patients with metastatic breast cancer receiving CDK 4/6i treatment from three different oncology clinics were included in this study. Results: Of the patients, 56 (62.2%) received ribociclib, and 34 (37.8%) were administered palbociclib. There was no significant difference between the groups regarding age, gender, comorbidities, ECOG performance status, or menopausal status (p > 0.05). The cut-off values for ER, PR, and Ki-67 levels were determined via ROC curve analysis. These values were found to be 80% for ER levels, 50% for PR levels, and 30% for Ki-67 levels. PFS was significantly longer for patients with ER levels greater than 80% and Ki-67 expression levels less than 30% according to multivariate analysis. Among the patients included in our study, the median PFS was 22.41 months for the patients with Ki-67 levels of 30% and above, while the median PFS was 17.24 months for the patients with ER levels of 80% and below. Among the patients with a combined ER of 80% or less and a Ki-67 of 30% or more, the median PFS was 12.42 months (p < 0.001). Conclusions: This study demonstrates that CDK4/6i therapies led to longer PFS among patients with ER levels greater than 80% and Ki-67 expression levels less than 30%. It is essential to determine which patient group benefits more from first-line CDK4/6is therapy. Full article

(This article belongs to the Collection Frontiers in Breast Cancer Diagnosis and Treatment)

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18 pages, 1869 KiB

Open AccessArticle

Cost Efficiency Evaluation of Ceramic Fiber, Glass Fiber, and Basalt Fiber-Reinforced Asphalt Mixtures

by Mohammad Fahad and Nagy Richard

Appl. Sci. 2025, 15(14), 7919; https://doi.org/10.3390/app15147919 (registering DOI) - 16 Jul 2025

Abstract

The performance of SBS (Styrene Butadiene Styrene) modified asphalt mixtures can be enhanced through the addition of fibers including basalt, ceramic, and glass. This study investigates whether a reduced SBS content of 3%, combined with 0.3% fiber reinforcement can match or exceed the [...] Read more.

The performance of SBS (Styrene Butadiene Styrene) modified asphalt mixtures can be enhanced through the addition of fibers including basalt, ceramic, and glass. This study investigates whether a reduced SBS content of 3%, combined with 0.3% fiber reinforcement can match or exceed the performance of a traditional 7% SBS mixture. A comparative analysis was carried out by examining both performance efficiency and life cycle costs across ceramic, basalt, and glass fiber-reinforced mixtures. Maintenance requirements for each scenario were factored into the life cycle analysis. To assess structural integrity, 3D finite element simulations were conducted using the Burger’s logit model while focusing on fatigue and rutting damage. Findings indicate that basalt and ceramic fiber mixtures deliver better asphalt mixtures, thereby outperforming the 7% SBS mix by requiring fewer maintenance interventions. However, due to the higher cost of ceramic fiber mixtures at 831 Eur/m³, basalt fiber emerges as the more cost-effective option, achieving a performance efficiency gain of 20% with reduced costs at 532 Eur/m³. Among the fiber-reinforced variants, glass fiber showed the least improvement in performance, with a difference in 11% and 13% when compared to ceramic fiber and basal fiber, respectively. Full article

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28 pages, 6267 KiB

Open AccessArticle

Detection of Pine Wilt Disease Using a VIS-NIR Slope-Based Index from Sentinel-2 Data

by Jian Guo, Ran Kang, Tianhe Xu, Caiyun Deng, Li Zhang, Siqi Yang, Guiling Pan, Lulu Si, Yingbo Lu and Hermann Kaufmann

Forests 2025, 16(7), 1170; https://doi.org/10.3390/f16071170 (registering DOI) - 16 Jul 2025

Abstract

Pine wilt disease (PWD), caused by Bursaphelenchus xylophilus Steiner & Buhrer (pine wood nematodes, PWN), impacts forest carbon sequestration and climate change. However, satellite-based PWD monitoring is challenging due to the limited spatial resolution of Sentinel’s MSI sensor, which reduces its sensitivity to [...] Read more.

Pine wilt disease (PWD), caused by Bursaphelenchus xylophilus Steiner & Buhrer (pine wood nematodes, PWN), impacts forest carbon sequestration and climate change. However, satellite-based PWD monitoring is challenging due to the limited spatial resolution of Sentinel’s MSI sensor, which reduces its sensitivity to subtle biochemical alterations in foliage. We have, therefore, developed a slope product index (SPI) for effective detection of PWD using single-date satellite imagery based on spectral gradients in the visible and near-infrared (VNIR) range. The SPI was compared against 15 widely used vegetation indices and demonstrated superior robustness across diverse test sites. Results show that the SPI is more sensitive to changes in chlorophyll content in the PWD detection, even under potentially confounding conditions such as drought. When integrated into Random Forest (RF) and Back-Propagation Neural Network (BPNN) models, SPI significantly improved classification accuracy, with the multivariate RF model achieving the highest performance and univariate with SPI in BPNN. The generalizability of SPI was validated across test sites in distinct climate zones, including Zhejiang (accuracyZ_Mean = 88.14%) and Shandong (accuracyS_Mean = 78.45%) provinces in China, as well as Portugal. Notably, SPI derived from Sentinel-2 imagery in October enables more accurate and timely PWD detection while reducing field investigation complexity and cost. Full article

(This article belongs to the Section Forest Inventory, Modeling and Remote Sensing)

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23 pages, 12860 KiB

Open AccessArticle

Antimicrobial Composite Films Based on Alginate–Chitosan with Honey, Propolis, Royal Jelly and Green-Synthesized Silver Nanoparticles

by Corina Dana Dumitru, Cornelia-Ioana Ilie, Ionela Andreea Neacsu, Ludmila Motelica, Ovidiu Cristian Oprea, Alexandra Ripszky, Silviu Mirel Pițuru, Bianca Voicu Bălașea, Florica Marinescu and Ecaterina Andronescu

Int. J. Mol. Sci. 2025, 26(14), 6809; https://doi.org/10.3390/ijms26146809 (registering DOI) - 16 Jul 2025

Abstract

Honey, propolis or royal jelly are considered natural remedies with therapeutic properties since antiquity. Many papers explore the development of antimicrobial biomaterials based on individual bee products, but there is a lack of studies on their synergistic effects. Combining honey, propolis and royal [...] Read more.

Honey, propolis or royal jelly are considered natural remedies with therapeutic properties since antiquity. Many papers explore the development of antimicrobial biomaterials based on individual bee products, but there is a lack of studies on their synergistic effects. Combining honey, propolis and royal jelly with silver nanoparticles in a biopolymer matrix offers a synergistic strategy to combat antibiotic-resistant bacterial infections. This approach supports progress in wound healing, soft tissue engineering and other domains where elimination of the microorganisms is needed like food packaging. In this study we have obtained antimicrobial films based on bee products and silver nanoparticles (AgNPs) incorporated in an alginate–chitosan blend. The novel biomaterials were analyzed by UV-Vis, fluorescence and FTIR spectroscopy or microscopy, SEM and thermal analysis. Antibacterial tests were conducted against both Gram-positive and Gram-negative bacteria, while the antifungal properties were tested against Candida albicans. The diameters for growth inhibition zones were up to 10 mm for bacterial strains and 8 mm for the fungal strain. Additionally, cytotoxicity assays were performed to evaluate the biocompatibility of the materials, the results indicating that the combination of honey, propolis, royal jelly and AgNPs does not produce synergistic toxicity. Full article

(This article belongs to the Section Materials Science)

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22 pages, 1295 KiB

Open AccessArticle

Enhanced Similarity Matrix Learning for Multi-View Clustering

by Dongdong Zhang, Pusheng Wang and Qin Li

Electronics 2025, 14(14), 2845; https://doi.org/10.3390/electronics14142845 (registering DOI) - 16 Jul 2025

Abstract

Graph-based multi-view clustering is a fundamental analysis method that learns the similarity matrix of multi-view data. Despite its success, it has two main limitations: (1) complementary information is not fully utilized by directly combining graphs from different views; (2) existing multi-view clustering methods [...] Read more.

Graph-based multi-view clustering is a fundamental analysis method that learns the similarity matrix of multi-view data. Despite its success, it has two main limitations: (1) complementary information is not fully utilized by directly combining graphs from different views; (2) existing multi-view clustering methods do not adequately address redundancy and noise in the data, significantly affecting performance. To address these issues, we propose the Enhanced Similarity Matrix Learning (ES-MVC) for multi-view clustering, which dynamically integrates global graphs from all views with local graphs from each view to create an improved similarity matrix. Specifically, the global graph captures cross-view consistency, while the local graph preserves view-specific geometric patterns. The balance between global and local graphs is controlled through an adaptive weighting strategy, where hyperparameters adjust the relative importance of each graph, effectively capturing complementary information. In this way, our method can learn the clustering structure that contains fully complementary information, leveraging both global and local graphs. Meanwhile, we utilize a robust similarity matrix initialization to reduce the negative effects caused by noisy data. For model optimization, we derive an effective optimization algorithm that converges quickly, typically requiring fewer than five iterations for most datasets. Extensive experimental results on diverse real-world datasets demonstrate the superiority of our method over state-of-the-art multi-view clustering methods. In our experiments on datasets such as MSRC-v1, Caltech101, and HW, our proposed method achieves superior clustering performance with average accuracy (ACC) values of 0.7643, 0.6097, and 0.9745, respectively, outperforming the most advanced multi-view clustering methods such as OMVFC-LICAG, which yield ACC values of 0.7284, 0.4512, and 0.8372 on the same datasets. Full article

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22 pages, 1908 KiB

Open AccessReview

Parallels Between Models of Gyrotron Physics and Some Famous Equations Used in Other Scientific Fields

by Svilen Sabchevski

Appl. Sci. 2025, 15(14), 7920; https://doi.org/10.3390/app15147920 (registering DOI) - 16 Jul 2025

Abstract

In this integrative review paper, we explore the parallels between the physical models of gyrotrons and some equations used in diverse and broad scientific fields. These include Adler’s famous equation, Van der Pol equation, the Lotka–Volterra equations and the Kuramoto model. The paper [...] Read more.

In this integrative review paper, we explore the parallels between the physical models of gyrotrons and some equations used in diverse and broad scientific fields. These include Adler’s famous equation, Van der Pol equation, the Lotka–Volterra equations and the Kuramoto model. The paper is written in the form of a pedagogical discourse and aims to provide additional insights into gyrotron physics through analogies and parallels to theoretical approaches used in other fields of research. For the first time, reachability analysis is used in the context of gyrotron physics as a modern tool for understanding the behavior of nonlinear dynamical systems. Full article

(This article belongs to the Section Applied Physics General)

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23 pages, 2079 KiB

Open AccessArticle

Offshore Energy Island for Sustainable Water Desalination—Case Study of KSA

by Muhnad Almasoudi, Hassan Hemida and Soroosh Sharifi

Sustainability 2025, 17(14), 6498; https://doi.org/10.3390/su17146498 (registering DOI) - 16 Jul 2025

Abstract

This study identifies the optimal location for an offshore energy island to supply sustainable power to desalination plants along the Red Sea coast. As demand for clean energy in water production grows, integrating renewables into desalination systems becomes increasingly essential. A decision-making framework [...] Read more.

This study identifies the optimal location for an offshore energy island to supply sustainable power to desalination plants along the Red Sea coast. As demand for clean energy in water production grows, integrating renewables into desalination systems becomes increasingly essential. A decision-making framework was developed to assess site feasibility based on renewable energy potential (solar, wind, and wave), marine traffic, site suitability, planned developments, and proximity to desalination facilities. Data was sourced from platforms such as Windguru and RETScreen, and spatial analysis was conducted using Inverse Distance Weighting (IDW) and Multi-Criteria Decision Analysis (MCDA). Results indicate that the central Red Sea region offers the most favorable conditions, combining high renewable resource availability with existing infrastructure. The estimated regional desalination energy demand of 2.1 million kW can be met using available renewable sources. Integrating these sources is expected to reduce local CO₂ emissions by up to 43.17% and global desalination-related emissions by 9.5%. Spatial constraints for offshore installations were also identified, with land-based solar energy proposed as a complementary solution. The study underscores the need for further research into wave energy potential in the Red Sea, due to limited real-time data and the absence of a dedicated wave energy atlas. Full article

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37 pages, 7439 KiB

Open AccessReview

A Review Discussing Synthesis and Translational Studies of Medicinal Agents Targeting Sphingolipid Pathways

by Sameena Mateen, Jordan Oman, Soha Haniyyah, Kavita Sharma, Ali Aghazadeh-Habashi and Srinath Pashikanti

Biomolecules 2025, 15(7), 1022; https://doi.org/10.3390/biom15071022 (registering DOI) - 16 Jul 2025

Abstract

Sphingolipids (SLs) are a class of bioactive lipids characterized by sphingoid bases (SBs) as their backbone structure. These molecules exhibit distinct cellular functions, including cell growth, apoptosis, senescence, migration, and inflammatory responses, by interacting with esterases, amidases, kinases, phosphatases, and membrane receptors. These [...] Read more.

Sphingolipids (SLs) are a class of bioactive lipids characterized by sphingoid bases (SBs) as their backbone structure. These molecules exhibit distinct cellular functions, including cell growth, apoptosis, senescence, migration, and inflammatory responses, by interacting with esterases, amidases, kinases, phosphatases, and membrane receptors. These interactions result in a highly interconnected network of enzymes and pathways, known as the sphingolipidome. Dysregulation within this network is implicated in the onset and progression of cardiovascular diseases, metabolic disorders, neurodegenerative disorders, autoimmune diseases, and various cancers. This review highlights the pharmacologically significant sphingoid-based medicinal agents in preclinical and clinical studies. These include myriocin, fingolimod, fenretinide, safingol, spisulosine (ES-285), jaspine B, D-e-MAPP, B13, and α-galactosylceramide. It covers enantioselective syntheses, drug development efforts, and advances in molecular modeling to facilitate an understanding of the binding interactions of these compounds with their biological targets. This review provides a comprehensive evaluation of chiral pool synthetic strategies, translational studies, and the pharmacological relevance of sphingolipid-based drug candidates, offering a pathway for future research in sphingolipid-based therapeutic development. Full article

(This article belongs to the Topic Design, Synthesis and Biological Evaluation of Novel Small Molecules as Multi-target Enzyme Inhibitors)

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14 pages, 2345 KiB

Open AccessArticle

Clinical Experience in the Management of a Series of Fetal–Neonatal Ovarian Cysts

by Constantin-Cristian Văduva, Laurentiu Dira, Dominic Iliescu, Dan Ruican, Anișoara-Mirela Siminel, George Alin Stoica, Mircea-Sebastian Şerbănescu and Andreea Carp-Velișcu

Children 2025, 12(7), 934; https://doi.org/10.3390/children12070934 (registering DOI) - 16 Jul 2025

Abstract

Introduction: Fetal ovarian cysts are known to be a common form of fetal abdominal masses in female fetuses, often resulting from hormonal stimulation in utero. Although many resolve spontaneously without sequelae, others can develop into more complex pathologies, such as intracystic hemorrhage or [...] Read more.

Introduction: Fetal ovarian cysts are known to be a common form of fetal abdominal masses in female fetuses, often resulting from hormonal stimulation in utero. Although many resolve spontaneously without sequelae, others can develop into more complex pathologies, such as intracystic hemorrhage or torsion, which can compromise ovarian integrity and long-term reproductive outcomes. Early detection and appropriate follow-up evaluation are therefore crucial for optimal perinatal management. Materials and Methods: We conducted a retrospective study of 12 cases of fetal ovarian cysts diagnosed by routine prenatal ultrasound examinations over a two-year period at our institution. Inclusion criteria were the presence of a cystic adnexal lesion detected in utero, detailed prenatal ultrasound documentation, and a comprehensive postnatal examination. Sonographic features such as cyst size, internal echogenicity, and signs of vascular compromise were recorded. The mother’s clinical variables, including gestational age at diagnosis and relevant medical conditions, were noted. Postnatal follow-up evaluation consisted of ultrasound examinations and, if indicated, pediatric surgical consultation. Results: Of the 12 cases, 9 were characterized by a simple cystic morphology. All spontaneously regressed postnatally and did not require surgical intervention. Three were defined as complex cysts showing septations or echogenic deposits; one of these cysts required immediate surgical exploration for suspected torsion. No cases with a malignant background were identified. All infants showed a favorable course with normal growth and development until follow-up evaluation. Conclusions: This series emphasizes that most fetal ovarian cysts are benign and often resolve without intervention, highlighting the benefit of systematic prenatal imaging. Nevertheless, complex or large cysts require close prenatal and neonatal monitoring to diagnose complications such as torsion. Full article

(This article belongs to the Special Issue Advances in Prenatal Diagnosis and Their Impact on Neonatal Outcomes)

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15 pages, 1192 KiB

Open AccessReview

Natural Killer Cell and Extracellular Vesicle-Based Immunotherapy in Thyroid Cancer: Advances, Challenges, and Future Perspectives

by Kruthika Prakash, Ramya Lakshmi Rajendran, Sanjana Dhayalan, Prakash Gangadaran, Byeong-Cheol Ahn and Kandasamy Nagarajan Aruljothi

Cells 2025, 14(14), 1087; https://doi.org/10.3390/cells14141087 (registering DOI) - 16 Jul 2025

Abstract

Thyroid cancer, the most frequently occurring endocrine neoplasm, comprises a heterogeneous group of histological subtypes, spanning from the indolent papillary thyroid carcinoma (PTC) to the rapidly progressive and lethal anaplastic thyroid carcinoma (ATC). Although conventional therapies, such as surgery and radioactive iodine (RAI), [...] Read more.

Thyroid cancer, the most frequently occurring endocrine neoplasm, comprises a heterogeneous group of histological subtypes, spanning from the indolent papillary thyroid carcinoma (PTC) to the rapidly progressive and lethal anaplastic thyroid carcinoma (ATC). Although conventional therapies, such as surgery and radioactive iodine (RAI), are effective for differentiated thyroid cancers, treatment resistance and poor prognosis remain major challenges in advanced and undifferentiated forms. In current times, growing attention has been directed toward the potential of Natural Killer (NK) cells as a promising immunotherapeutic avenue. These innate immune cells are capable of direct cytotoxicity against tumor cells, but their efficiency is frequently compromised by the immunosuppressive tumor microenvironment (TME), which inhibits NK cell activation, infiltration, and persistence. This review explores the dynamic interaction between NK cells and the TME in thyroid cancer, detailing key mechanisms of immune evasion, including the impact of suppressive cytokines, altered chemokine landscapes, and inhibitory ligand expression. We further discuss latest advancements in NK cell-based immunotherapies, including strategies for ex vivo expansion, genetic modification, and combinatorial approaches with checkpoint inhibitors or cytokines. Additionally, emerging modalities, such as NK cell-derived extracellular vesicles, are addressed. By combining mechanistic insights with advancing therapeutic techniques, this review provides a comprehensive perspective on NK cell-based interventions and their future potential in improving outcomes for patients with thyroid cancer. Full article

(This article belongs to the Special Issue Emerging Insights into Natural Killer Cell Immunity in Infection and Cancer)

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20 pages, 29094 KiB

Open AccessArticle

Retrieval of Cloud, Atmospheric, and Surface Properties from Far-Infrared Spectral Radiances Measured by FIRMOS-B During the 2022 HEMERA Stratospheric Balloon Campaign

by Gianluca Di Natale, Claudio Belotti, Marco Barucci, Marco Ridolfi, Silvia Viciani, Francesco D’Amato, Samuele Del Bianco, Bianca Maria Dinelli and Luca Palchetti

Remote Sens. 2025, 17(14), 2458; https://doi.org/10.3390/rs17142458 (registering DOI) - 16 Jul 2025

Abstract

The knowledge of the radiative properties of clouds and the atmospheric state is of fundamental importance in modelling phenomena in numerical weather predictions and climate models. In this study, we show the results of the retrieval of cloud properties, along with the atmospheric [...] Read more.

The knowledge of the radiative properties of clouds and the atmospheric state is of fundamental importance in modelling phenomena in numerical weather predictions and climate models. In this study, we show the results of the retrieval of cloud properties, along with the atmospheric state and the surface temperature, from far-infrared spectral radiances, in the 100–1000 cm⁻¹ range, measured by the Far-Infrared Radiation Mobile Observation System-Balloon version (FIRMOS-B) spectroradiometer from a stratospheric balloon launched from Timmins (Canada) in August 2022 within the HEMERA 3 programme. The retrieval study is performed with the Optimal Estimation inversion approach, using three different forward models and retrieval codes to compare the results. Cloud optical depth, particle effective size, and cloud top height are retrieved with good accuracy, despite the relatively high measurement noise of the FIRMOS-B observations used for this study. The retrieved atmospheric profiles, computed simultaneously with cloud parameters, are in good agreement with both co-located radiosonde measurements and ERA-5 profiles, under all-sky conditions. The findings are very promising for the development of an optimised retrieval procedure to analyse the high-precision FIR spectral measurements, which will be delivered by the ESA FORUM mission. Full article

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17 pages, 2117 KiB

Open AccessArticle

On-Orbit Life Prediction and Analysis of Triple-Junction Gallium Arsenide Solar Arrays for MEO Satellites

by Huan Liu, Chenjie Kong, Yuan Shen, Baojun Lin, Xueliang Wang and Qiang Zhang

Aerospace 2025, 12(7), 633; https://doi.org/10.3390/aerospace12070633 (registering DOI) - 16 Jul 2025

Abstract

This paper focuses on the triple-junction gallium arsenide solar array of a MEO (Medium Earth Orbit) satellite that has been in orbit for 7 years. Through a combination of theoretical and data-driven methods, it conducts research on anti-radiation design verification and life prediction. [...] Read more.

This paper focuses on the triple-junction gallium arsenide solar array of a MEO (Medium Earth Orbit) satellite that has been in orbit for 7 years. Through a combination of theoretical and data-driven methods, it conducts research on anti-radiation design verification and life prediction. This study integrates the Long Short-Term Memory (LSTM) algorithm into the full life cycle management of MEO satellite solar arrays, providing a solution that combines theory and engineering for the design of high-reliability energy systems. Based on semiconductor physics theory, this paper establishes an output current calculation model. By combining radiation attenuation factors obtained from ground experiments, it derives the theoretical current values for the initial orbit insertion and the end of life. Aiming at the limitations of traditional physical models in addressing solar performance degradation under complex radiation environments, this paper introduces an LSTM algorithm to deeply mine the high-density current telemetry data (approximately 30 min per point) accumulated over 7 years in orbit. By comparing the prediction accuracy of LSTM with traditional models such as Recurrent Neural Network (RNN) and Feedforward Neural Network (FNN), the significant advantage of LSTM in capturing the long-term attenuation trend of solar arrays is verified. This study integrates deep learning technology into the full life cycle management of solar arrays, constructs a closed-loop verification system of “theoretical modeling–data-driven intelligent prediction”, and provides a solution for the long-life and high-reliability operation of the energy system of MEO orbit satellites. Full article

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12 pages, 305 KiB

Open AccessArticle

Discrepancies in Recommendations on Pharmacokinetic Drug Interactions for Anticancer Medications and Direct Oral Anticoagulants (DOAC): A Comparative Analysis of Different Clinical Decision Support Systems and Sources

by Karolina Nowinski and Roza Chaireti

Pharmaceuticals 2025, 18(7), 1044; https://doi.org/10.3390/ph18071044 (registering DOI) - 16 Jul 2025

Abstract

Background/objectives: In some cases of concomitant use of direct oral anticoagulants (DOAC) and certain anticancer medications, pharmacokinetic interactions are expected; however, clinical data is scarce. This report reviews the recommendations on the use of DOAC concurrently with anticancer drugs according to different clinical [...] Read more.

Background/objectives: In some cases of concomitant use of direct oral anticoagulants (DOAC) and certain anticancer medications, pharmacokinetic interactions are expected; however, clinical data is scarce. This report reviews the recommendations on the use of DOAC concurrently with anticancer drugs according to different clinical decision support systems and sources, with a focus on discrepancies. Methods: We reviewed the recommendations from the American Heart Association (AHA), European Heart Rhythm Association (EHRA), summary of product characteristics (SPC) in FASS (Swedish medicine information portal), the Swedish clinical decision support system Janusmed, and information from the Food and Drug Administration (FDA) on the concomitant use of apixaban, edoxaban, and rivaroxaban (activated factor X (FXa) inhibitors) and 80 anticancer drugs from 11 categories (240 drug pairs). Results: No warnings of expected pharmacokinetic drug interactions between FXa inhibitors and anticancer drugs were found for 155 drug pairs (65%) across all sources. The remaining 35% of drug pairs were flagged as having possible interactions with FXa inhibitors according to at least one source. Discrepancies in the recommendations from the different sources were reported. The reported discrepancies were, for the most part, associated with different assessments of the mechanism and the extent of pharmacokinetic interactions of each anticancer medication. Also, knowledge sources have different approaches to reporting potential interactions, in some cases reporting clinically relevant strictly pharmacokinetic interactions, whereas others include even patient-specific factors. Conclusions: The lack of clinical data and different recommendations can make clinical decisions on the concomitant use of DOAC and anticancer drugs difficult. Our compilation is meant to assist clinicians in making decisions based on the available evidence, even if it is scarce. Full article

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15 pages, 1422 KiB

Open AccessArticle

Genetic and Biological Properties of an Epidemic Feline Panleukopenia Virus Strain (Ala91Ser) in China

by Erkai Feng, Zihan Ye, Manping Yan, Yaxi Zhou, Danni Wu, Shipeng Cheng and Yuening Cheng

Vet. Sci. 2025, 12(7), 668; https://doi.org/10.3390/vetsci12070668 (registering DOI) - 16 Jul 2025

Abstract

To genetically characterise an epidemic isolate of feline panleukopenia virus (FPLV) harbouring the Ala91Ser mutation in China, a clinical strain (accession number: OR921195.1), named FPLV-CC19-02, was isolated from a PCR-positive faecal swab sample. Phylogenetic analysis revealed that it is far removed from all [...] Read more.

To genetically characterise an epidemic isolate of feline panleukopenia virus (FPLV) harbouring the Ala91Ser mutation in China, a clinical strain (accession number: OR921195.1), named FPLV-CC19-02, was isolated from a PCR-positive faecal swab sample. Phylogenetic analysis revealed that it is far removed from all current commercial vaccine strains and differs from the FPLV prototype strain Cu-4 (M38246.1), specifically the vaccine strain of Fel-O-Vax^® PCT, at positions 91 (Ala91Ser) and 101 (Ile101Thr) within the VP2 protein. This virus can induce the typical cytopathic effect seen in parvovirus infection in feline kidney cells, resulting in severe clinical symptoms in cats, including haematochezia and hyperthermia. Furthermore, infected cats died of virus infection within 5–10 days post-infection (dpi) (100% morbidity and 83% mortality), indicating that FPLV-CC19-02 is a strain with increased virulence. Additionally, it demonstrated good immunogenicity in cats. Overall, these findings may help us to better understand the molecular prevalence of feline panleukopenia virus in cats and provide valuable basic data for the development of effective, locally adapted feline panleukopenia virus vaccines in China. Full article

(This article belongs to the Special Issue Gastrointestinal Disease and Health in Pets)

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8 pages, 1643 KiB

Open AccessCase Report

Neuromyelitis Optica Diagnosis in Two Elderly Patients with Systematic Lupus Erythematosus: A Case Series

by Kyriaki Astara, Maria Lypiridou, Konstantinos Kalafatakis, Georgios Nikolaou and Georgios Stouraitis

Reports 2025, 8(3), 110; https://doi.org/10.3390/reports8030110 (registering DOI) - 16 Jul 2025

Abstract

Background and Clinical Significance: Neuromyelitis optica (NMO) is a chronic demyelinating inflammatory disease of the central nervous system (CNS), mediated by autoantibodies against aquaporin-4 (AQ4) receptors. In the spectrum of NMO, other autoimmune diseases also coexist, though their association with systemic lupus erythematosus [...] Read more.

Background and Clinical Significance: Neuromyelitis optica (NMO) is a chronic demyelinating inflammatory disease of the central nervous system (CNS), mediated by autoantibodies against aquaporin-4 (AQ4) receptors. In the spectrum of NMO, other autoimmune diseases also coexist, though their association with systemic lupus erythematosus (SLE) is rare. Case Presentation: We present two cases of patients in their 70s who were diagnosed with NMO in the context of SLE. The first case concerns a 78-year-old woman with drug-induced SLE and thoracic myelitis who developed T4-level incomplete paraplegia over three weeks. The second case involves a 71-year-old woman with a history of SLE and myasthenia gravis, presenting with cervical myelitis with progressive worsening of walking and C4-level paraparesis over two months. In both cases, elevated serum anti-AQ4 titers were detected, establishing the diagnosis of NMO and differentiation from an atypical manifestation of SLE-related myelitis. High doses of intravenous corticosteroids with gradual tapering, along with cyclophosphamide, followed by rituximab, were administered in both patients. The first patient showed a poor response, while the second showed improvement. Conclusions: The coexistence of NMO with SLE is rare, but the occurrence of myelitis in patients with connective tissue diseases should raise the suspicion of NMO, especially in elderly women and several years after the diagnosis of SLE. Time to treatment is critical, as delays in treating NMO can result in cumulative and disabling damage. Full article

(This article belongs to the Section Allergy/Immunology)

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22 pages, 1889 KiB

Open AccessReview

DNA-Barcoding for Cultivar Identification and Intraspecific Diversity Analysis of Agricultural Crops

by Lidiia S. Samarina, Natalia G. Koninskaya, Ruset M. Shkhalakhova, Taisiya A. Simonyan and Daria O. Kuzmina

Int. J. Mol. Sci. 2025, 26(14), 6808; https://doi.org/10.3390/ijms26146808 (registering DOI) - 16 Jul 2025

Abstract

DNA barcoding of intraspecific diversity of agricultural crops is important to develop the genetic passports of valuable genotypes and cultivars. The advantage of DNA-barcoding as compared to traditional genotyping of cultivars is that the procedure can be unified and applied for the broad [...] Read more.

DNA barcoding of intraspecific diversity of agricultural crops is important to develop the genetic passports of valuable genotypes and cultivars. The advantage of DNA-barcoding as compared to traditional genotyping of cultivars is that the procedure can be unified and applied for the broad range of accessions. This not only makes it cost efficient, but also allows to develop open access genetic databases to accumulate information of the world’s germplasm collections of different crops. In this regard, the aim of the review was to analyze the latest research in this field, including the selection of loci, universal primers, strategies of amplicons analysis, bioinformatic tools, and the development of databases. We reviewed the advantages and disadvantages of each strategy with the focus of cultivars identification. The data indicates that following chloroplast loci are the most prominent for the intraspecific diversity analysis: (trnE-UUC/trnT-GUU, rpl23/rpl2.l, psbA-trnH, trnL-trnF, trnK, rpoC1, ycf1-a, rpl32-trnL, trnH-psbA and matK). We suggest that the combination of three or four of these loci can be a sufficient DNA barcode for cultivar-level identification. This combination has to be selected for each crop. Advantages and disadvantages of different approaches of amplicons analysis are discussed. The bioinformatic tools and databases for the plant barcoding are reviewed. This review will be useful for selecting appropriate strategies for barcoding of intraspecific diversity of agricultural crops to develop genetic passports of valuable cultivars in germplasm collections worldwide. Full article

(This article belongs to the Special Issue Plant Biology and Biotechnology: Focus on Genomics, Bioinformatics and AI)

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19 pages, 1209 KiB

Open AccessArticle

The Effects of Pulsed Electromagnetic Field (PEMF) on Muscular Strength, Functional Performance and Depressive Symptoms in Elderly Adults with Sarcopenia: A Short-Term Intervention

by Patrícia Sardinha Leonardo, Alberto Souza Sá Filho, Pedro Augusto Inacio, Paulo Ricardo França, Vicente Aprigliano, Fernando Teixeira, Michel Monteiro Macedo, Douglas Farias Fonseca, Pedro Sardinha Leonardo Lopes-Martins, Gustavo De Conti Teixeira Costa and Rodrigo Alvaro Brandão Lopes-Martins

Life 2025, 15(7), 1111; https://doi.org/10.3390/life15071111 (registering DOI) - 16 Jul 2025

Abstract

Despite the benefits of resistance training in mitigating sarcopenia, adherence among frail older adults is often limited by osteoarticular pain, comorbidities, and logistical barriers. Pulsed electromagnetic field (PEMF) therapy has emerged as a potential alternative. However, evidence regarding its effects on functional and [...] Read more.

Despite the benefits of resistance training in mitigating sarcopenia, adherence among frail older adults is often limited by osteoarticular pain, comorbidities, and logistical barriers. Pulsed electromagnetic field (PEMF) therapy has emerged as a potential alternative. However, evidence regarding its effects on functional and psychological parameters remains scarce. Objectives: To assess the effects of 12 PEMF therapy sessions on knee extensor strength and functional performance (Timed Up and Go test—TUG) in older adults with sarcopenia. Secondary outcomes included changes in calf circumference (CC), SARC-F + CC scores, and depressive symptoms. Methods: A controlled, non-randomized experimental design was employed, with a pre-intervention control group serving as a baseline reference (PEMF group: n = 25; control group: n = 16). Participants received 12 PEMF therapy sessions (three times per week) targeting the quadriceps and gastrocnemius muscles. Outcomes were measured using knee-extension dynamometry, TUG, CC, SARC-F + CC, and the Yesavage Geriatric Depression Scale. Statistical analyses included ANCOVA, with baseline values as covariates. Results: Significant improvements were observed in knee-extension strength, which increased from 13.05 ± 4.8 kgf to 18.56 ± 8 kgf (p < 0.001); TUG test time improved from 23.1 ± 14.4 to 18.7 ± 10 s (p = 0.048); SARC-F + CC scores decreased from 11.6 ± 8.2 to 6.5 ± 7.6 (p < 0.001), though the interaction effect with time was not significant (p = 0.252). No statistically significant changes were observed in CC, which increased from 34.0 ± 4.0 cm to 36.0 ± 3.9 cm following the intervention (p = 0.548). Yesavage Geriatric Depression Scale scores improved significantly (7.9 ± 2.4 to 5.4 ± 1.7, p = 0.0013). Conclusions: PEMF therapy significantly improved lower-limb muscle strength and functional mobility in elderly individuals with sarcopenia. Additionally, depressive symptoms were significantly reduced. However, no significant changes were observed in CC or SARC-F + CC. Full article

(This article belongs to the Special Issue Physical Medicine and Rehabilitation: Trends and Applications—4th Edition)

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21 pages, 899 KiB

Open AccessArticle

Cervical Spine Range of Motion Reliability with Two Methods and Associations with Demographics, Forward Head Posture, and Respiratory Mechanics in Patients with Non-Specific Chronic Neck Pain

by Petros I. Tatsios, Eirini Grammatopoulou, Zacharias Dimitriadis, Irini Patsaki, George Gioftsos and George A. Koumantakis

J. Funct. Morphol. Kinesiol. 2025, 10(3), 269; https://doi.org/10.3390/jfmk10030269 (registering DOI) - 16 Jul 2025

Abstract

Objectives: New smartphone-based methods for measuring cervical spine range of motion (CS-ROM) and posture are emerging. The purpose of this study was to assess the reliability and validity of three such methods in patients with non-specific chronic neck pain (NSCNP). Methods: [...] Read more.

Objectives: New smartphone-based methods for measuring cervical spine range of motion (CS-ROM) and posture are emerging. The purpose of this study was to assess the reliability and validity of three such methods in patients with non-specific chronic neck pain (NSCNP). Methods: The within-day test–retest reliability of CS-ROM and forward head posture (craniovertebral angle-CVA) was examined in 45 patients with NSCNP. CS-ROM was simultaneously measured with an accelerometer sensor (KFORCE Sens^®) and a mobile phone device (iHandy and Compass apps), testing the accuracy of each and the parallel-forms reliability between the two methods. For construct validity, correlations of CS-ROM with demographics, lifestyle, and other cervical and thoracic spine biomechanically based measures were examined in 90 patients with NSCNP. Male–female differences were also explored. Results: Both methods were reliable, with measurements concurring between the two devices in all six movement directions (intraclass correlation coefficient/ICC = 0.90–0.99, standard error of the measurement/SEM = 0.54–3.09°). Male–female differences were only noted for two CS-ROM measures and CVA. Significant associations were documented: (a) between the six CS-ROM measures (R = 0.22–0.54, p < 0.05), (b) participants’ age with five out of six CS-ROM measures (R = 0.23–0.40, p < 0.05) and CVA (R = 0.21, p < 0.05), (c) CVA with two out of six CS-ROM measures (extension R = 0.29, p = 0.005 and left-side flexion R = 0.21, p < 0.05), body mass (R = −0.39, p < 0.001), body mass index (R = −0.52, p < 0.001), and chest wall expansion (R = 0.24–0.29, p < 0.05). Significantly lower forward head posture was noted in subjects with a high level of physical activity relative to those with a low level of physical activity. Conclusions: The reliability of both CS-ROM methods was excellent. Reductions in CS-ROM and increases in CVA were age-dependent in NSCNP. The significant relationship identified between CVA and CWE possibly signifies interconnections between NSCNP and the biomechanical aspect of dysfunctional breathing. Full article

(This article belongs to the Section Kinesiology and Biomechanics)

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7 pages, 618 KiB

Open AccessCommunication

Oral Anticoagulants in Chronic Thromboembolic Pulmonary Hypertension: Tradition or Innovation?

by Domenico Laviola, Giovanna Manzi, Tommaso Recchioni, Maria Cristina Luise, Valentina Mercurio, Alexandra Mihai, Roberto Badagliacca, Silvia Papa and Carmine Dario Vizza

J. Cardiovasc. Dev. Dis. 2025, 12(7), 271; https://doi.org/10.3390/jcdd12070271 (registering DOI) - 16 Jul 2025

Abstract

Chronic thromboembolic pulmonary hypertension (CTEPH) can complicate the clinical course of patients with acute pulmonary embolism, with a variable prevalence of 0.5–4%. Beyond specific therapeutic strategies, including pulmonary endarterectomy, balloon pulmonary angioplasty and pulmonary vasodilators, lifelong anticoagulation still represents the mainstay of treatment [...] Read more.

Chronic thromboembolic pulmonary hypertension (CTEPH) can complicate the clinical course of patients with acute pulmonary embolism, with a variable prevalence of 0.5–4%. Beyond specific therapeutic strategies, including pulmonary endarterectomy, balloon pulmonary angioplasty and pulmonary vasodilators, lifelong anticoagulation still represents the mainstay of treatment for this condition. The main historical experience supports the use of vitamin K antagonists (VKAs) in CTEPH patients; conversely, the efficacy and safety of direct oral anticoagulants (DOACs) in this setting are unclear. Growing experience, mainly from small studies and registries, is improving our knowledge, showing that DOACs may represent a valid and promising alternative to warfarin in CTEPH patients. Therefore, in the management of cases with a newly diagnosed CTEPH, clinicians are very often in the difficult position of (a) having to choose which anticoagulant to initiate in anticoagulant-naïve patients or (b) having to evaluate whether it is necessary to switch to a VKA in patients already on DOACs. This article aims to critically summarize the current evidence comparing DOACs and VKAs in CTEPH, discussing their efficacy and safety profiles and exploring their clinical applicability. Full article

(This article belongs to the Special Issue Pulmonary Hypertension: Far from a Rare Disease—a Journey from Diagnosis to Treatment)

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24 pages, 3601 KiB

Open AccessArticle

Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network

by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li and Luning Li

Remote Sens. 2025, 17(14), 2457; https://doi.org/10.3390/rs17142457 (registering DOI) - 16 Jul 2025

Abstract

Laser-induced breakdown spectroscopy (LIBS) has played a critical role in Mars exploration missions, substantially contributing to the geochemical analysis of Martian surface substances. However, the complex nonlinearity of LIBS processes can considerably limit the quantification accuracy of conventional LIBS chemometric methods. Hence chemometrics [...] Read more.

Laser-induced breakdown spectroscopy (LIBS) has played a critical role in Mars exploration missions, substantially contributing to the geochemical analysis of Martian surface substances. However, the complex nonlinearity of LIBS processes can considerably limit the quantification accuracy of conventional LIBS chemometric methods. Hence chemometrics based on artificial neural network (ANN) algorithms have become increasingly popular in LIBS analysis due to their extraordinary ability in nonlinear feature modeling. The hidden layer activation functions are key to ANN model performance, yet common activation functions usually suffer from problems such as gradient vanishing (e.g., Sigmoid and Tanh) and dying neurons (e.g., ReLU). In this study, we propose a novel LIBS quantification method, named the Bayesian optimization-based tunable Softplus backpropagation neural network (BOTS-BPNN). Based on a dataset comprising 1800 LIBS spectra collected by a laboratory duplicate of the MarSCoDe instrument onboard the Zhurong Mars rover, we have revealed that a BPNN model adopting a tunable Softplus activation function can achieve higher prediction accuracy than BPNN models adopting other common activation functions if the tunable Softplus parameter β is properly selected. Moreover, the way to find the proper β value has also been investigated. We demonstrate that the Bayesian optimization method surpasses the traditional grid search method regarding both performance and efficiency. The BOTS-BPNN model also shows superior performance over other common machine learning models like random forest (RF). This work indicates the potential of BOTS-BPNN as an effective chemometric method for analyzing Mars in situ LIBS data and sheds light on the use of chemometrics for data analysis in future planetary explorations. Full article

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13 pages, 3483 KiB

Open AccessArticle

The “Double-Row Shoelace” Capsulodesis: A Novel Technique for the Repair and Reconstruction of the Scapholunate Ligament of the Wrist

by Adriano Cannella, Rocco De Vitis, Arturo Militerno, Giuseppe Taccardo, Vitale Cilli, Lorenzo Rocchi, Giulia Maria Sassara and Marco Passiatore

Surgeries 2025, 6(3), 57; https://doi.org/10.3390/surgeries6030057 (registering DOI) - 16 Jul 2025

Abstract

Introduction: The scapholunate interosseus ligament (SLIL) is critical for wrist stability, with injuries causing carpal instability and potential scapholunate advanced collapse (SLAC). This technical note presents a novel ligament-sparing surgical technique for treating SLIL tears ranging from grade 2 to 4 of the [...] Read more.

Introduction: The scapholunate interosseus ligament (SLIL) is critical for wrist stability, with injuries causing carpal instability and potential scapholunate advanced collapse (SLAC). This technical note presents a novel ligament-sparing surgical technique for treating SLIL tears ranging from grade 2 to 4 of the Garcia-Elias classification. Materials and Methods: A retrospective study was performed on ten patients treated with this novel technique. The technique involves a dorsal approach to the wrist through a 5–7 cm incision ulnar to Lister’s tubercle. After exposing the scapholunate joint, reduction is performed using Kirschner wires (K-wires) as joysticks, followed by stabilisation with three K-wires through the scapholunate, scapho-capitate, and radio-lunate joints. Two 2.3 mm suture anchors with double sutures are placed where the reduction K-wires were removed. One pair of sutures connects the anchors and any remaining SLIL tissue, while the second pair create a shoelace-like capsulodesis. Post-operative care includes staged K-wire removal at one and two months, with progressive rehabilitation before returning to weight-bearing activities at six months. Results: All patients improved in pain and function. The technique addresses SLIL injuries by restoring both coronal alignment through ligament repair and sagittal alignment via dorsal capsulodesis. The use of suture anchors and direct repair preserves the native tissue while reinforcing the dorsal capsule–scapholunate septum complex, avoiding the need for tendon grafts or extensive bone tunnelling. Conclusions: This ligament-sparing technique offers several advantages, including absence of donor site morbidity, minimal damage to carpal cartilage and vascularity, and preservation of surgical options should revision be necessary. The procedure effectively addresses both components of scapholunate instability while maintaining a relatively straightforward surgical approach. Full article

(This article belongs to the Section Hand Surgery and Research)

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23 pages, 2406 KiB

Open AccessArticle

Ex Vivo Drug Sensitivity of Pleural Effusion-Derived Cells from Lung Cancer and Pleural Mesothelioma Patients Is Linked to Clinical Response

by Rita Hutyra-Gram Ötvös, Hanna Krynska, Greta Gudoityte, Marcus Skribek, Anca Oniscu, Olena Berkovska, Katharina Strauß, Jenny Zipprick, David Tamborero, Andrey Alexeyenko, Annica Karin Britt Gad, Brinton Seashore-Ludlow and Katalin Dobra

Cancers 2025, 17(14), 2363; https://doi.org/10.3390/cancers17142363 (registering DOI) - 16 Jul 2025

Abstract

Background: Tumors of the pleura, such as metastatic lung cancer and mesothelioma, are amongst the most lethal and therapy-resistant tumors. The first manifestation of the disease is often pleural effusion, the first available material for diagnosis. The five-year survival rate is exceptionally low, [...] Read more.

Background: Tumors of the pleura, such as metastatic lung cancer and mesothelioma, are amongst the most lethal and therapy-resistant tumors. The first manifestation of the disease is often pleural effusion, the first available material for diagnosis. The five-year survival rate is exceptionally low, around 10–20%, and only a small proportion of patients harbor mutations that allow targeted treatments. Almost all patients develop resistance to treatment, which is often palliative. There is therefore an urgent need to refine the selection of drugs and patients for personalized treatment. Methods: We isolated and cultured cells from pleural effusions in 3D cell aggregates and compared their drug sensitivity ex vivo to the clinical response to the same chemotherapeutic agents, combined with targeted sequencing and network analysis. Results: The ex vivo drug response showed a positive correlation with the treatment response and survival of patients in the clinic, with a stronger link to overall survival than to progression-free survival. Cryopreserved cells showed a similar response to freshly collected cells from the clinic. Conclusions: The findings advance the field of ex vivo screening and present an opportunity to combine strategies for functional precision medicine with comprehensive characterization of disease for improved treatment and future management of lung cancer. Full article

(This article belongs to the Special Issue Pre-Clinical Studies of Personalized Medicine for Cancer Research)

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25 pages, 4626 KiB

Open AccessArticle

Study on Evolution Mechanism of Agricultural Trade Network of RCEP Countries—Complex System Analysis Based on the TERGM Model

by Shasha Ding, Li Wang and Qianchen Zhou

Systems 2025, 13(7), 593; https://doi.org/10.3390/systems13070593 (registering DOI) - 16 Jul 2025

Abstract

The agricultural products trade network is essentially a complex adaptive system formed by nonlinear interactions between countries. Based on the complex system theory, this study reveals the dynamic self-organization law of the RCEP regional agricultural products trade network by using the panel data [...] Read more.

The agricultural products trade network is essentially a complex adaptive system formed by nonlinear interactions between countries. Based on the complex system theory, this study reveals the dynamic self-organization law of the RCEP regional agricultural products trade network by using the panel data of RCEP agricultural products export trade from 2000 to 2023, combining social network analysis (SNA) and the temporal exponential random graph model (TERGM). The results show the following: (1) The RCEP agricultural products trade network presents a “core-edge” hierarchical structure, with China as the core hub to drive regional resource integration and ASEAN countries developing into secondary core nodes to deepen collaborative dependence. (2) The “China-ASEAN-Japan-Korea “riangle trade structure is formed under the RCEP framework, and the network has the characteristics of a “small world”. The leading mode of South–South trade promotes the regional economic order to shift from the traditional vertical division of labor to multiple coordination. (3) The evolution of trade network system is driven by multiple factors: endogenous reciprocity and network expansion are the core structural driving forces; synergistic optimization of supply and demand matching between economic and financial development to promote system upgrading; geographical proximity and cultural convergence effectively reduce transaction costs and enhance system connectivity, but geographical distance is still the key system constraint that restricts the integration of marginal countries. This study provides a systematic and scientific analytical framework for understanding the resilience mechanism and structural evolution of regional agricultural trade networks under global shocks. Full article

(This article belongs to the Section Systems Practice in Social Science)

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16 pages, 3244 KiB

Open AccessArticle

Finite Element Analysis of Dental Diamond Burs: Stress Distribution in Dental Structures During Cavity Preparation

by Chethan K N, Abhilash H N, Afiya Eram, Saniya Juneja, Divya Shetty and Laxmikant G. Keni

Prosthesis 2025, 7(4), 84; https://doi.org/10.3390/prosthesis7040084 (registering DOI) - 16 Jul 2025

Abstract

Background/Objectives: Dental cavity preparation is a critical procedure in restorative dentistry that involves the removal of decayed tissue while preserving a healthy tooth structure. Excessive stress during tooth preparation leads to enamel cracking, dentin damage, and long term compressive pulp health. This [...] Read more.

Background/Objectives: Dental cavity preparation is a critical procedure in restorative dentistry that involves the removal of decayed tissue while preserving a healthy tooth structure. Excessive stress during tooth preparation leads to enamel cracking, dentin damage, and long term compressive pulp health. This study employed finite element analysis (FEA) to investigate the stress distribution in dental structures during cavity preparation using round diamond burs of varying diameters and depths of cut (DOC). Methods: A three-dimensional human maxillary first molar was generated from computed tomography (CT) scan data using 3D Slicer, Fusion 360, and ANSYS Space Claim 2024 R-2. Finite element analysis (FEA) was conducted using ANSYS Workbench 2024. Round diamond burs with diameters of 1, 2, and 3 mm were modeled. Cutting simulations were performed for DOC of 1 mm and 2 mm. The burs were treated as rigid bodies, whereas the dental structures were modeled as deformable bodies using the Cowper–Symonds model. Results: The simulations revealed that larger bur diameters and deeper cuts led to higher stress magnitudes, particularly in the enamel and dentin. The maximum von Mises stress was reached at 136.98 MPa, and dentin 140.33 MPa. Smaller burs (≤2 mm) and lower depths of cut (≤1 mm) produced lower stress values and were optimal for minimizing dental structural damage. Pulpal stress remained low but showed an increasing trend with increased DOC and bur size. Conclusions: This study provides clinically relevant guidance for reducing mechanical damage during cavity preparation by recommending the use of smaller burs and controlled cutting depths. The originality of this study lies in its integration of CT-based anatomy with dynamic FEA modeling, enabling a realistic simulation of tool–tissue interaction in dentistry. These insights can inform bur selection, cutting protocols, and future experimental validations. Full article

(This article belongs to the Collection Oral Implantology: Current Aspects and Future Perspectives)

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21 pages, 10851 KiB

Open AccessArticle

Intelligent Flood Scene Understanding Using Computer Vision-Based Multi-Object Tracking

by Xuzhong Yan, Yiqiao Zhu, Zeli Wang, Bin Xu, Liu He and Rong Xia

Water 2025, 17(14), 2111; https://doi.org/10.3390/w17142111 (registering DOI) - 16 Jul 2025

Abstract

Understanding flood scenes is essential for effective disaster response. Previous research has primarily focused on computer vision-based approaches for analyzing flood scenes, capitalizing on their ability to rapidly and accurately cover affected regions. However, most existing methods emphasize static image analysis, with limited [...] Read more.

Understanding flood scenes is essential for effective disaster response. Previous research has primarily focused on computer vision-based approaches for analyzing flood scenes, capitalizing on their ability to rapidly and accurately cover affected regions. However, most existing methods emphasize static image analysis, with limited attention given to dynamic video analysis. Compared to image-based approaches, video analysis in flood scenarios offers significant advantages, including real-time monitoring, flow estimation, object tracking, change detection, and behavior recognition. To address this gap, this study proposes a computer vision-based multi-object tracking (MOT) framework for intelligent flood scene understanding. The proposed method integrates an optical-flow-based module for short-term undetected mask estimation and a deep re-identification (ReID) module to handle long-term occlusions. Experimental results demonstrate that the proposed method achieves state-of-the-art performance across key metrics, with a HOTA of 69.57%, DetA of 67.32%, AssA of 73.21%, and IDF1 of 89.82%. Field tests further confirm its improved accuracy, robustness, and generalization. This study not only addresses key practical challenges but also offers methodological insights, supporting the application of intelligent technologies in disaster response and humanitarian aid. Full article

(This article belongs to the Special Issue AI, Machine Learning and Digital Twin Applications in Water)

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42 pages, 6065 KiB

Open AccessReview

Digital Alchemy: The Rise of Machine and Deep Learning in Small-Molecule Drug Discovery

by Abdul Manan, Eunhye Baek, Sidra Ilyas and Donghun Lee

Int. J. Mol. Sci. 2025, 26(14), 6807; https://doi.org/10.3390/ijms26146807 (registering DOI) - 16 Jul 2025

Abstract

This review provides a comprehensive analysis of the transformative impact of artificial intelligence (AI) and machine learning (ML) on modern drug design, specifically focusing on how these advanced computational techniques address the inherent limitations of traditional small-molecule drug design methodologies. It begins by [...] Read more.

This review provides a comprehensive analysis of the transformative impact of artificial intelligence (AI) and machine learning (ML) on modern drug design, specifically focusing on how these advanced computational techniques address the inherent limitations of traditional small-molecule drug design methodologies. It begins by outlining the historical challenges of the drug discovery pipeline, including protracted timelines, exorbitant costs, and high clinical failure rates. Subsequently, it examines the core principles of structure-based virtual screening (SBVS) and ligand-based virtual screening (LBVS), establishing the critical bottlenecks that have historically impeded efficient drug development. The central sections elucidate how cutting-edge ML and deep learning (DL) paradigms, such as generative models and reinforcement learning, are revolutionizing chemical space exploration, enhancing binding affinity prediction, improving protein flexibility modeling, and automating critical design tasks. Illustrative real-world case studies demonstrating quantifiable accelerations in discovery timelines and improved success probabilities are presented. Finally, the review critically examines prevailing challenges, including data quality, model interpretability, ethical considerations, and evolving regulatory landscapes, while offering forward-looking critical perspectives on the future trajectory of AI-driven pharmaceutical innovation. Full article

(This article belongs to the Special Issue Advances in Computer-Aided Drug Design Strategies)

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