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Keywords = morphological characteristic analysis

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14 pages, 956 KB  
Article
The Impact of Body Surface Area on Morpho-Functional and Cardiometabolic Parameters in a Large Cohort of Olympic Athletes: Distinct Bodies, Distinct Physiology
by Giuseppe Di Gioia, Maria Rosaria Squeo, Armando Ferrera, Lucrezia Macori, Margherita Rigillo, Raffaella Spada and Antonio Pelliccia
J. Funct. Morphol. Kinesiol. 2025, 10(4), 405; https://doi.org/10.3390/jfmk10040405 (registering DOI) - 18 Oct 2025
Abstract
Background: Body surface area is a key determinant of cardiac morphology and function, but it is often underestimated in the interpretation of athlete’s cardiac phenotypes. Aims: This study aimed to assess the role of anthropometric characteristics and whether particularly high vs. low body [...] Read more.
Background: Body surface area is a key determinant of cardiac morphology and function, but it is often underestimated in the interpretation of athlete’s cardiac phenotypes. Aims: This study aimed to assess the role of anthropometric characteristics and whether particularly high vs. low body surface area (BSA) is associated with distinct morpho-functional and cardiometabolic features in elite athletes. Methods: We retrospectively included 2518 Olympic athletes. All underwent a pre-participation screening, including physical examination, ECG, blood analysis, echocardiography, and cardiopulmonary exercise testing. Participants were grouped by sex-specific BSA percentiles: Group A (<5th percentile), Group B (25th–75th), and Group C (>95th percentile). Functional, echocardiographic, and cardio-metabolic parameters were compared among groups. Results: In male athletes, Group C showed higher resting systolic blood pressure (123.8 ± 10.4 mmHg) than Group B (117.4 ± 9.6, p < 0.0001) and Group A (110.4 ± 13, p < 0.0001), and a higher prevalence of dyslipidemia (31.7% vs. 11.1% in Group B and 4% in Group A, p = 0.031). Despite greater LVEDD (59 ± 3 mm in Group C vs. 55 ± 2.9 in B and 51.1 ± 3.1 in A, p < 0.0001) and LV mass (p < 0.0001), functional performance was lower in Group C, with VO2 max/kg of 35.2 ± 13.2 mL/min/kg vs. 44 ± 7.1 in B, and 47.8 ± 7.3 in A (p < 0.0001). Similar trends were observed in females for morpho-functional parameters, though lipid profiles did not significantly differ among groups (p > 0.05). Conclusions: Anthropometric traits significantly influence the cardiovascular and metabolic phenotype of elite athletes. Our findings support the integration of anthropometric profiling into the routine cardiovascular assessment of athletes, especially those at the extremes of body size, to better interpret physiological adaptations and risk profiles. Full article
(This article belongs to the Special Issue Sports Medicine and Public Health, 2nd Edition)
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18 pages, 3324 KB  
Article
Experimental Investigation of 3D-Printed TPU Triboelectric Composites for Biomechanical Energy Conversion in Knee Implants
by Osama Abdalla, Milad Azami, Amir Ameli, Emre Salman, Milutin Stanacevic, Ryan Willing and Shahrzad Towfighian
Sensors 2025, 25(20), 6454; https://doi.org/10.3390/s25206454 (registering DOI) - 18 Oct 2025
Abstract
Although total knee replacements have an insignificant impact on patients’ mobility and quality of life, real-time performance monitoring remains a challenge. Monitoring the load over time can improve surgery outcomes and early detection of mechanical imbalances. Triboelectric nanogenerators (TENGs) present a promising approach [...] Read more.
Although total knee replacements have an insignificant impact on patients’ mobility and quality of life, real-time performance monitoring remains a challenge. Monitoring the load over time can improve surgery outcomes and early detection of mechanical imbalances. Triboelectric nanogenerators (TENGs) present a promising approach as a self-powered sensor for load monitoring in TKR. A TENG was fabricated with dielectric layers consisting of Kapton tape and 3D-printed thermoplastic polyurethane (TPU) matrix incorporating CNT and BTO fillers, separated by an air gap and sandwiched between two copper electrodes. The sensor performance was optimized by varying the concentrations of BTO and CNT to study their effect on the energy-harvesting behavior. The test results demonstrate that the BTO/TPU composite that has 15% BTO achieved the maximum power output of 11.15 μW, corresponding to a power density of 7 mW/m2, under a cyclic compressive load of 2100 N at a load resistance of 1200 MΩ, which was the highest power output among all the tested samples. Under a gait load profile, the same TENG sensor generated a power density of 0.8 mW/m2 at 900 MΩ. By contrast, all tested CNT/TPU-based TENG produced lower output, where the maximum generated apparent power output was around 8 μW corresponding to a power density of 4.8 mW/m2, confirming that using BTO fillers had a more significant impact on TENG performance compared with CNT fillers. Based on our earlier work, this power is sufficient to operate the ADC circuit. Furthermore, we investigated the durability and sensitivity of the 15% BTO/TPU samples, where it was tested under a compressive force of 1000 N for 15,000 cycles, confirming the potential of long-term use inside the TKR. The sensitivity analysis showed values of 37.4 mV/N for axial forces below 800 N and 5.0 mV/N for forces above 800 N. Moreover, dielectric characterization revealed that increasing the BTO concentration improves the dielectric constant while at the same time reducing the dielectric loss, with an optimal 15% BTO concentration exhibiting the most favorable dielectric properties. SEM images for BTO/TPU showed that the 10% and 15% BTO/TPU composites showed better morphological characteristics with lower fabrication defects compared with higher filler concentrations. Our BTO/TPU-based TENG sensor showed robust performance, long-term durability, and efficient energy conversion, supporting its potential for next-generation smart total knee replacements. Full article
(This article belongs to the Special Issue Wireless Sensor Networks with Energy Harvesting)
29 pages, 65929 KB  
Article
Study on Spatiotemporal Pattern Evolution and Regional Heterogeneity of Carbon Emissions at the County Scale of Major Cities, Inner Mongolia Autonomous Region
by Shibo Wei, Yun Xue and Meijing Zhang
Sustainability 2025, 17(20), 9222; https://doi.org/10.3390/su17209222 - 17 Oct 2025
Abstract
In-depth exploration of the spatial heterogeneity patterns of urban carbon emissions holds significant scientific importance for regional sustainable development. However, few scholars have examined the spatiotemporal characteristics of county-level carbon emissions in Inner Mongolia. This study focuses on the three major cities of [...] Read more.
In-depth exploration of the spatial heterogeneity patterns of urban carbon emissions holds significant scientific importance for regional sustainable development. However, few scholars have examined the spatiotemporal characteristics of county-level carbon emissions in Inner Mongolia. This study focuses on the three major cities of Hohhot, Baotou, and Ordos in Inner Mongolia. By integrating NPP-VIIRS nighttime light data, the CLCD (China Land Cover Dataset) dataset, and statistical yearbooks, it quantifies county-level carbon emissions and establishes a spatiotemporal analysis framework of urban morphology–carbon emissions from 2013 to 2021. Six morphological indicators—Class Area (CA), Landscape Shape Index (LSI), Largest Patch Index (LPI), Patch Cohesion Index (COHESION), Patch Density (PD), and Interspersion Juxtaposition Index (IJI)—are employed to represent urban scale, complexity, centrality, compactness, fragmentation, and adjacency, respectively, and their impacts on regional carbon emissions are examined. Using a geographically and temporally weighted regression (GTWR) model, the results indicate the following: (1) from 2013 to 2021, The high-value areas of carbon emissions in the three cities show a clustered distribution centered on the urban districts. The total carbon emissions increased from 20,670 (104 t/CO2) to 37,788 (104 t/CO2). The overall spatial pattern exhibits a north-to-south increasing gradient, and most areas are projected to experience accelerated carbon emission growth in the future; (2) the global Moran’s I values were all greater than zero and passed the significance tests, indicating that carbon emissions exhibit clustering characteristics; (3) the GTWR analysis revealed significant spatiotemporal heterogeneity in influencing factors, with different cities exhibiting varying directions and strengths of influence at different development stages. The ranking of influencing factors by degree of impact is: CA > LSI > COHESION > LPI > IJI > PD. This study explores urban carbon emissions and their heterogeneity from both temporal and spatial dimensions, providing a novel, more detailed regional perspective for urban carbon emission analysis. The findings enrich research on carbon emissions in Inner Mongolia and offer theoretical support for regional carbon reduction strategies. Full article
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20 pages, 10056 KB  
Article
Aggregation Characteristics of Tau Phosphorylated by Various Kinases as Observed by Quantum Dot Fluorescence Imaging
by Eisuke Ishibashi, Koki Araya, Kota Nakamura, Keiya Shimamori, Koji Uwai, Masahiro Kuragano and Kiyotaka Tokuraku
Int. J. Mol. Sci. 2025, 26(20), 10122; https://doi.org/10.3390/ijms262010122 - 17 Oct 2025
Abstract
This study focused on the abnormal phosphorylation of tau and its aggregation process, characteristic of Alzheimer’s disease, and aimed to compare the morphology and formation process of phosphorylated tau aggregates produced by four kinases: Cdk5/p25, GSK3β, MARK4, and p38α. [...] Read more.
This study focused on the abnormal phosphorylation of tau and its aggregation process, characteristic of Alzheimer’s disease, and aimed to compare the morphology and formation process of phosphorylated tau aggregates produced by four kinases: Cdk5/p25, GSK3β, MARK4, and p38α. Using quantum dots for 2D and 3D structural analysis, tau aggregates were confirmed in non-phosphorylated tau (non p-tau), as well as tau phosphorylated by GSK3β and MARK4. Aggregation initiation times were observed around 72 h for non-p-tau, and around 96 h for GSK3β and MARK4 phosphorylated tau. The thickness of non-p-tau aggregates was approximately 11 μm, while GSK3β aggregates were significantly thicker (13 μm) and exhibited increased density. TEM analysis suggested that tau forming wavy filaments was less prone to forming large aggregates. ThT assays and CD spectra showed an increased β-sheet structure for all kinases. Non-p-tau and GSK3β exhibited an increased right-twisted β-sheet structure, while Cdk5/p25, MARK4, and p38α showed an increased left-twisted β-sheet structure. The direct correlation between kinase activity and tau aggregate morphology revealed in this study provides a potential mechanistic basis for understanding disease heterogeneity and establishing novel therapeutic targets for AD specifically or for other neurodegenerative diseases as well. Full article
(This article belongs to the Special Issue Quantum Dots for Biomedical Applications)
22 pages, 51695 KB  
Article
Metagenomics and In Vitro Growth-Promoting Experiments Revealed the Potential Roles of Mycorrhizal Fungus Humicolopsis cephalosporioides and Helper Bacteria in Cheilotheca humilis Growth
by Yawei Liu, Yuhao Shang, Xin Wang, Xiao Li, Zhiming Yu, Zhanghui Zeng, Zhehao Chen, Lilin Wang, Taihe Xiang and Xiaoping Huang
Microorganisms 2025, 13(10), 2387; https://doi.org/10.3390/microorganisms13102387 - 17 Oct 2025
Abstract
In mycorrhizal symbiotic relationships, non-photosynthetic myco-heterotrophic plants are unable to supply photosynthates to their associated fungi. On the contrary, they rely on fungal carbon to sustain their own growth. Mycorrhizal fungi can mediate plant interactions with the rhizosphere microbiome, which contributes to the [...] Read more.
In mycorrhizal symbiotic relationships, non-photosynthetic myco-heterotrophic plants are unable to supply photosynthates to their associated fungi. On the contrary, they rely on fungal carbon to sustain their own growth. Mycorrhizal fungi can mediate plant interactions with the rhizosphere microbiome, which contributes to the promotion of plant growth and nutrient uptake. However, the microbial community and key microbial species that function during the growth of the myco-heterotrophic plant Cheilotheca humilis remain unclear. In this study, we evaluated the microbial community associated with Cheilotheca humilis, which was confirmed via morphological characteristics typical of this plant species. Metagenomic analysis showed that the Afipia carboxidovorans was dominant at species level. Based on the LDA score, Bradyrhizobium ottawaense exhibited the higher abundance in the CH-B group (related to bud) while Afipia carboxidovorans was identified from the CH-F group (related to flower). Microbial co-occurrence networks showed that the Rhizobium genus, Herbaspirillum genus, and Cyanobacteriota were defined as core functional microbial species. To explore the potential microorganisms, metagenome-assembled genomes (MAGs) of the rhizosphere microbiome identified 14 medium- and high-quality MAGs, mainly involved in carbon fixation, nitrogen transformation, and phosphorus metabolism, possibly providing nutrients for the plant. Furthermore, a total of 67 rhizospheric and 66 endophytic microorganisms were isolated and obtained. In vitro experiments showed that the mycorrhizal helper bacteria (MHBs) Rhizobium genus and Pseudomonas genus possessed the ability of nitrogen fixation, phosphate solubilization, and siderophores production. Most importantly, the mycorrhizal fungus Humicolopsis cephalosporioides was obtained, which could potentially produce cellulase to supply carbohydrates for host. The findings suggest the mycorrhizal fungus Humicolopsis cephalosporioides and helper bacteria have great potential in the growth of the myco-heterotrophic plant Cheilotheca humilis. Full article
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17 pages, 5282 KB  
Article
Effects of the Mixing Method of Expanded Graphite on Thermal, Electrical, and Water Transport Properties of Thermosetting Nanocomposites
by Raffaele Longo, Elisa Calabrese, Francesca Aliberti, Luigi Vertuccio, Giorgia De Piano, Roberto Pantani, Marialuigia Raimondo and Liberata Guadagno
Polymers 2025, 17(20), 2759; https://doi.org/10.3390/polym17202759 - 15 Oct 2025
Viewed by 120
Abstract
The present research aims to investigate the impact of various mixing techniques (centrifugal planetary mixing, ultrasonication, and high-temperature magnetic stirring) on the properties of nanocomposite epoxy resins using expanded graphite particles. Differential scanning calorimetry reveals that the curing behavior and glass transition temperature [...] Read more.
The present research aims to investigate the impact of various mixing techniques (centrifugal planetary mixing, ultrasonication, and high-temperature magnetic stirring) on the properties of nanocomposite epoxy resins using expanded graphite particles. Differential scanning calorimetry reveals that the curing behavior and glass transition temperature are influenced by the selected method, indicating that a suitable choice allows increasing curing degree (C.D.) and glass transition temperature up to 10% and 12%, respectively. Morphological analysis performed via Scanning Electron Microscopy and Tunneling Atomic Force Microscopy offers detailed insights into the dispersion characteristics of fillers within polymer matrices, which sensitively affect the properties of the materials. The electrical conductivity values vary by more than five orders of magnitude among the various mixing methods. Centrifugal mixing leads to a decrease in the equilibrium concentration of water (Ceq) by up to 23% compared to that of the unfilled matrix, thanks to the chemical interactions that occur between the graphitic particles and the epoxy matrix (detectable via Fourier Transform Infrared Spectroscopy). Such a reduction is strongly desired in strategic fields such as the transport sector. The analysis of the obtained results suggests choosing the dispersion method of the filler in the matrix by considering the required performance for the specific planned application. Full article
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17 pages, 1243 KB  
Article
Characterization of Patients Unsuited for Transcatheter Mitral Valve Interventions
by Carolina Göttsche Esperança Clara, Hannah Eustergerling, Johanna Isabella Pepping, Vanessa Trenkpohl, Kai Peter Friedrichs, Maria Ivannikova, Tanja Katharina Rudolph, Johanna Bormann, Johannes Kirchner, Max Potratz, Volker Rudolph, Mohammad Kassar, Muhammed Gerçek and Felix Rudolph
J. Clin. Med. 2025, 14(20), 7275; https://doi.org/10.3390/jcm14207275 - 15 Oct 2025
Viewed by 193
Abstract
Background/Objectives: The objective of this study was to characterize echocardiographic characteristics comparing patients accepted or deemed unsuitable for transcatheter mitral valve interventions. Methods: We performed a retrospective analysis of 293 patients with severe mitral regurgitation evaluated for mitral transcatheter edge-to-edge repair [...] Read more.
Background/Objectives: The objective of this study was to characterize echocardiographic characteristics comparing patients accepted or deemed unsuitable for transcatheter mitral valve interventions. Methods: We performed a retrospective analysis of 293 patients with severe mitral regurgitation evaluated for mitral transcatheter edge-to-edge repair (M-TEER) or transcatheter mitral valve replacement (TMVR), if patients were primarily identified as unsuitable candidates for M-TEER, at our institution between 2018 and 2023. All patients underwent transthoracic and transesophageal echocardiography, and mitral valve quantification (MVQ) analysis was performed. Feasibility was determined by an interdisciplinary Heart Team based on quantitative data and semi-quantitative echocardiographic parameters, including mean pressure gradient, regurgitation volumes, and morphological aspects alongside clinical assessment. Patient characteristics were evaluated using clinical records and echocardiographic data. Results: We screened 195 patients for M-TEER, 168 of which were accepted for the procedure. M-TEER-rejected patients presented with higher regurgitation volumes and higher transmitral pressure gradients than those accepted to undergo M-TEER. We then screened 104 patients for TMVR, and 27 were approved for the procedure. Patients rejected for TMVR presented with lower tenting volume, area, and height and had smaller ventricular diameters. Further, mitral valve area appears to be an important parameter in determining MR treatment strategy. Conclusions: The majority of MR patients screened for transcatheter intervention were suitable for M-TEER. However, elevated MPG and more pronounced billowing were the main factors associated with M-TEER exclusion. Conversely, the only morphological parameter associated with TMVR refusal was small left ventricular size. Importantly, the multimorbidity of patients and level of critical illness did not prohibit TMVR. Full article
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30 pages, 1652 KB  
Article
Agronomic, Morphological, and Nutritional Characterization of Greek Traditional Pepper (Capsicum annuum L.) Landraces at Commercial and Physiological Maturity for Sustainable and Climate-Smart Vegetable Systems
by Maria Gerakari, Parthenopi Ralli, Anastasia Giannakoula, Georgia Ouzounidou, Antonis Anagnostou, Christos Antoniadis and Ilias D. Avdikos
Plants 2025, 14(20), 3164; https://doi.org/10.3390/plants14203164 - 15 Oct 2025
Viewed by 210
Abstract
Climate change poses a significant threat to agricultural productivity, particularly in low-input systems where resilient cultivars are crucial. Traditional pepper (Capsicum annuum L.) landraces represent a valuable genetic reservoir for adaptation, yet their agronomic and nutritional potential remains underexplored. In this study, [...] Read more.
Climate change poses a significant threat to agricultural productivity, particularly in low-input systems where resilient cultivars are crucial. Traditional pepper (Capsicum annuum L.) landraces represent a valuable genetic reservoir for adaptation, yet their agronomic and nutritional potential remains underexplored. In this study, twenty-five Greek pepper landraces and commercial varieties were comprehensively evaluated for morphological traits, early and total yield characteristics, and key fruit quality parameters. The results revealed substantial phenotypic diversity in both vegetative and reproductive traits, as well as considerable variation in fruit nutritional composition across the tested genotypes. Notably, ‘Skopos’, ‘Mesoropi’, and ‘Lygaria’ demonstrated superior yield performance, while ‘Pogoniou’, ‘Lyra’, and ‘Kantanou’ excelled in several nutritional quality traits, including high phenolic content, vitamin C, and antioxidant capacity. Heatmap analysis further identified ‘Pogoniou’, ‘Filuria’, ‘Lyra’, ‘Lagada’, and ‘Lygaria’ as consistently ranking among the top performers across yield and quality traits. These findings highlight the dual agronomic and nutritional value of traditional pepper landraces, underscoring their importance as a genetic resource for breeding programs. Overall, the study highlights the importance of conserving and utilizing local pepper germplasm as a sustainable approach to improve productivity, nutritional quality, and resilience in the face of climate change and low-input cultivation systems. Full article
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8 pages, 5640 KB  
Proceeding Paper
Sustainable Thermal Insulation Composites Based on Alfa Plant Fibers and Wood Waste
by Youssef Cherradi, Omar Ennaya, Younes Alouan, Seifeddine Cherif, Hamid El Qarnia, Reda Sadouri and Mustafa Benyoucef
Eng. Proc. 2025, 112(1), 27; https://doi.org/10.3390/engproc2025112027 - 14 Oct 2025
Viewed by 98
Abstract
This study focuses on the development, characterization, and numerical simulation of novel composite materials based on natural vegetable fibers for applications in civil engineering. Three different bio-based composites were formulated using Alfa plant fibers, wood waste, and an equal mixture of both (50% [...] Read more.
This study focuses on the development, characterization, and numerical simulation of novel composite materials based on natural vegetable fibers for applications in civil engineering. Three different bio-based composites were formulated using Alfa plant fibers, wood waste, and an equal mixture of both (50% Alfa, 50% wood), with polyvinyl acetate (PVAc), a non-polluting polymer matrix, as the binder. The performance of these composites is strongly influenced by the fiber morphology, structural characteristics, and the nature of the matrix. Thus, understanding and optimizing these parameters is crucial for tailoring materials to meet specific design requirements. The experimental approach began with the morphological and structural characterization of the raw and treated fibers, followed by the evaluation of the thermal a properties of the resulting composites. Furthermore, thermal conductivity simulations were performed using COMSOL Multiphysics to validate the experimental results and gain deeper insights into heat transfer behavior within the composites. A comparative analysis with conventional synthetic insulation materials revealed that the developed bio-composites offer competitive thermal performance while being more environmentally sustainable. These findings highlight the potential of Alfa and wood waste fibers as effective, eco-friendly alternatives for thermal insulation in building applications. Full article
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22 pages, 1406 KB  
Article
A GIS-Integrated Framework for Unsupervised Fuzzy Classification of Residential Building Pattern
by Rosa Cafaro, Barbara Cardone, Valeria D’Ambrosio, Ferdinando Di Martino and Vittorio Miraglia
Electronics 2025, 14(20), 4022; https://doi.org/10.3390/electronics14204022 - 14 Oct 2025
Viewed by 136
Abstract
The classification of urban residential settlements through Machine Learning (ML) and Deep Learning (DL) remains a complex task due to the intrinsic heterogeneity of urban environments and the scarcity of large, accurately labeled training datasets. To overcome these limitations, this study introduces a [...] Read more.
The classification of urban residential settlements through Machine Learning (ML) and Deep Learning (DL) remains a complex task due to the intrinsic heterogeneity of urban environments and the scarcity of large, accurately labeled training datasets. To overcome these limitations, this study introduces a novel GIS-based unsupervised classification framework that exploits Fuzzy C-Means (FCM) clustering for the detection and interpretation of urban morphologies. Compared to unsupervised classification approaches that rely on crisp-based clustering algorithms, the proposed FCM-based method more effectively captures heterogeneous urban fabrics where no clear predominance of specific building types exists. Specifically, the method applies fuzzy clustering to census units—considered the fundamental scale of urban analysis—based on construction techniques and building periods. By grouping census areas with similar structural features, the framework provides a flexible, data-driven approach to the characterization of urban settlements. The identification of cluster centroids’ dominant attributes enables a systematic interpretation of the spatial distribution of the built environment, while the subsequent mapping process assigns each cluster a descriptive label reflecting the prevailing building fabric. The generated thematic maps yield critical insights into urban morphology and facilitate evidence-based planning. The framework was validated across ten Italian cities selected for their diverse physical, morphological, and historical characteristics; comparisons with the results of urban zone classifications in these cities conducted by experts show that the proposed method provides accurate results, as the similarity to the classifications made by experts, measured by the use of the Adjusted Rand Index, is always higher than or equal to 0.93; furthermore, it is robust when applied in heterogeneous urban settlements. These results confirm the effectiveness of the method in delineating homogeneous urban areas, thereby offering decision makers a robust instrument to guide targeted interventions on existing building stocks. The proposed framework advances the capacity to analyze urban form, to strategically support renovation and urban regeneration policies, and demonstrates a strong potential for portability, as it can be applied to other cities for urban scale analyses. Full article
(This article belongs to the Special Issue Advances in Algorithm Optimization and Computational Intelligence)
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14 pages, 386 KB  
Article
Clinicopathologic Disease Characteristics and Their Association with Adjuvant Chemotherapy Outcomes in Pulmonary Large-Cell Carcinoma Patients with or Without Neuroendocrine Features
by Doğan Bayram, Oznur Bal, Efe Cem Erdat, Serhat Sekmek, Saliha Yılmaz, Perihan Perkin, Süleyman Gökalp Güneş, Efnan Algin and Bülent Mustafa Yenigün
Diagnostics 2025, 15(20), 2582; https://doi.org/10.3390/diagnostics15202582 - 13 Oct 2025
Viewed by 181
Abstract
Background: Large-cell carcinoma (LCC) and large-cell neuroendocrine carcinoma (LCNEC) are kinds of rare lung tumors classified as distinct forms of non-small-cell lung cancer (NSCLC). They both differ in cellular morphology, neuroendocrine marker expression, and clinical outcomes. Thus, LCC and LCNEC exhibit different clinicopathological [...] Read more.
Background: Large-cell carcinoma (LCC) and large-cell neuroendocrine carcinoma (LCNEC) are kinds of rare lung tumors classified as distinct forms of non-small-cell lung cancer (NSCLC). They both differ in cellular morphology, neuroendocrine marker expression, and clinical outcomes. Thus, LCC and LCNEC exhibit different clinicopathological characteristics and survival outcomes. This study seeks to assess how clinicopathological and immunohistochemical features influence the need for adjuvant chemotherapy in individuals with early-stage, surgically resected LCC or LCNEC. Methods: This multicenter retrospective analysis included 79 patients who underwent surgical resection for large-cell carcinoma (LCC) or large-cell neuroendocrine carcinoma (LCNEC) between January 2008 and March 2025. We evaluated prognostic factors that influence survival in patients with LCC and LCNEC and assessed the effect of adjuvant chemotherapy on survival outcomes. Results: This study included 79 patients—39 diagnosed with LCC and 40 diagnosed with LCNEC. All patients were in stages I–III and received curative surgery. The median age was 61 years for LCC patients and 58.5 years for LCNEC patients. The median overall survival (mOS) was 80.1 months for patients with LCC and 34.2 months for those with LCNEC. Multivariate Cox regression analysis revealed that age (HR: 0.279), stage (HR: 0.198), and chromogranin A expression (HR: 0.088) were independent prognostic factors for overall survival in LCC patients. In LCNEC patients, stage (HR: 0.20), synaptophysin expression (HR: 0.30), type of surgery (HR: 0.31), and adjuvant chemotherapy (HR: 0.264) were identified as factors influencing overall survival. Adjuvant chemotherapy improved overall survival in LCNEC patients (67.0 vs. 17.8 months). Conclusions: Patients with LCNEC generally have poorer prognoses than those with LCC, exhibiting reduced overall survival periods. Disease stage is the most significant factor influencing overall survival for both groups. Notably, in LCNEC patients, adjuvant chemotherapy was found to independently improve survival outcomes regardless of stage. Full article
(This article belongs to the Special Issue Lung Cancer: Screening, Diagnosis and Management: 2nd Edition)
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15 pages, 8005 KB  
Article
Effect of the Activator B(OCH3)3 on the Microstructure and Mechanical Properties of Cu-Mn-Al Alloy Coating via CMT Cladding
by Jin Peng, Shihua Xie, Junhai Xia, Xingxing Wang, Zenglei Ni, Pei Wang and Nannan Chen
Crystals 2025, 15(10), 881; https://doi.org/10.3390/cryst15100881 - 13 Oct 2025
Viewed by 154
Abstract
This study investigates the fabrication of a Cu-Mn-Al alloy coating on 27SiMn steel using Cold Metal Transfer (CMT) technology with an innovative Ar-B(OCH3)3 mixed shielding gas, focusing on the effect of the gas flow rate (5–20 L/min). The addition of [...] Read more.
This study investigates the fabrication of a Cu-Mn-Al alloy coating on 27SiMn steel using Cold Metal Transfer (CMT) technology with an innovative Ar-B(OCH3)3 mixed shielding gas, focusing on the effect of the gas flow rate (5–20 L/min). The addition of B(OCH3)3 was found to significantly enhance process stability by improving molten pool wettability, resulting in a wider cladding layer (6.565 mm) and smaller wetting angles compared to pure Ar. Macro-morphology analysis identified 10 L/min as the optimal flow rate for achieving a uniform and defect-free coating, while deviations led to oxidation (at low flow) or spatter and turbulence (at high flow). Microstructural characterization revealed that the flow rate critically governs phase evolution, with the primary κI phase transforming from dendritic/granular to petal-like/rod-like morphologies. At higher flow rates (≥15 L/min), increased stirring promoted Fe dilution from the substrate, leading to the formation of Fe-rich intermetallic compounds and distinct spherical Fe phases. Consequently, the cladding layer obtained at 10 L/min exhibited balanced and superior properties, achieving a maximum shear strength of 303.22 MPa and optimal corrosion resistance with a minimum corrosion rate of 0.02935 mm/y. All shear fractures occurred within the cladding layer, demonstrating superior interfacial bonding strength and ductile fracture characteristics. This work provides a systematic guideline for optimizing shielding gas parameters in the CMT cladding of high-performance Cu-Mn-Al alloy coatings. Full article
(This article belongs to the Section Crystalline Metals and Alloys)
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13 pages, 1579 KB  
Article
Myxoid Stromal Histophenotype Is Associated with High-Grade and Persistent Cervical Intraepithelial Neoplasia
by Leila Stabayeva, Madina Mergazina, Yevgeniy Kamyshanskiy, Gulchekhra Ikhtiyarova, Zhanna Amirbekova, Gulnazira Imanbayeva and Olga Kostyleva
Pathophysiology 2025, 32(4), 55; https://doi.org/10.3390/pathophysiology32040055 - 13 Oct 2025
Viewed by 123
Abstract
Objectives: To evaluate the diagnostic and prognostic value of histophenotyping of the extracellular matrix of the cervical stroma at cervical intraepithelial neoplasia (CIN). Methods: Retrospective analysis of 160 biopsies and surgical preparations of the cervix in women of reproductive age included cases of [...] Read more.
Objectives: To evaluate the diagnostic and prognostic value of histophenotyping of the extracellular matrix of the cervical stroma at cervical intraepithelial neoplasia (CIN). Methods: Retrospective analysis of 160 biopsies and surgical preparations of the cervix in women of reproductive age included cases of CIN 1–3 and the group with confirmed persistence or lesion progression (CIN P) at repeated biopsy. The control group (n = 40) consisted of morphologically intact cervical tissue. Histophenotypes were evaluated by staining with hematoxylin, eosin, and Masson trichrome, and classified as follows: normal (dense parallel bundles of type I collagen), intermediate (disorganized and fragmented type I collagen fibers), and myxoid (amorphous weakly fibrillar matrix). The clinical, viral, and inflammatory characteristics between histophenotypes were statistically compared. Results: The distribution of histophenotypes of the extracellular matrix of the cervix varied significantly depending on the CIN degree (p < 0.001). In the control group, the normal pattern was detected in 97.5% of cases; its frequency decreased from CIN 1 (27.5%) to CIN 2 (12.5%) and was absent at CIN 3. The frequency of the myxoid pattern increased significantly in severe and persistent forms: 55% at CIN 3 and 62.5% at CIN P. Human papillomavirus 16/18 was most frequently detected in groups with intermediate (69.1%) and myxoid (27.2%) patterns. Inflammatory changes were more often accompanied by disorganized extracellular matrix; however, intermediate and myxoid types also occurred in the absence of inflammation. Conclusions: The myxoid histophenotype of the extracellular matrix is significantly associated with the high degree of dysplasia and CIN persistence. It can reflect the morphological equivalent of tumor-associated stroma remodeling. Histophenotyping of the extracellular matrix of the cervix appears to be a promising method of risk stratification and may complement existing diagnostic algorithms for CIN. Full article
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13 pages, 2017 KB  
Article
Parity and NIS Expression in Atypical Cells of Triple-Negative Breast Cancer, and Prognosis
by Grigory Demyashkin, Eugenia Kogan, Tatiana Demura, Anastasia Guzik, Dmitriy Belokopytov, Maxim Batov, Vladimir Shchekin, Irina Bicherova, Petr Shegai and Andrei Kaprin
Int. J. Mol. Sci. 2025, 26(20), 9947; https://doi.org/10.3390/ijms26209947 - 13 Oct 2025
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Abstract
Breast cancer is one of the most common malignancies worldwide, affecting 2.3 million and causing 670,000 deaths in women annually. However, data indicate that the risk of developing breast cancer decreases with pregnancy at a young age, and each subsequent pregnancy further reduces [...] Read more.
Breast cancer is one of the most common malignancies worldwide, affecting 2.3 million and causing 670,000 deaths in women annually. However, data indicate that the risk of developing breast cancer decreases with pregnancy at a young age, and each subsequent pregnancy further reduces the risk by approximately 10%. One of the characteristics inherent in both the mammary gland epithelium in pregnant women and luminal epithelial adenocarcinomas is the increased expression of NIS—the sodium/iodide symporter, whose defective cytoplasmic forms possess pro-oncogenic properties. Therefore, the analysis of the degree of influence of pregnancy on NIS expression in breast cancer cells is of medical interest. The aim of this study is to conduct a comparative morphological analysis of NIS expression in breast cancer cells according to the number of pregnancies of each patient. This study included 161 patients with triple-negative breast cancer who visited the P.A. Herzen Moscow Oncology Research Institute from 2020 to 2023. Immunohistochemical examination was performed using antibodies to NIS. The gravidity status of women was determined based on provided medical documentation. The degree of NIS expression was assessed using a modified Gainor scale. Statistical analysis was performed using mean and standard deviation (SD) depending on the normality of the distribution (Lilliefors test: p > 0.20); a p-value ≤ 0.05 was considered statistically significant. The degree of correlation between variables was assessed using Kendall’s tau rank correlation coefficient. A weak to moderate negative correlation (τ: −0.369) was found between the number of pregnancies and the degree of NIS expression in triple-negative breast cancer cells. In patients with triple-negative breast cancer, a weak to moderate negative correlation was found between the degree of NIS expression and gravidity status. The discovered phenomenon is likely due to the terminal differentiation of the mammary gland epithelium that occurs during pregnancy. This may potentially indicate the suppression of pro-oncogenic properties of atypical cells developed from the epithelium that has undergone terminal differentiation. Full article
(This article belongs to the Special Issue 25th Anniversary of IJMS: Updates and Advances in Molecular Oncology)
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25 pages, 3220 KB  
Article
Industrial-Based Comprehension on the Ceramic Body Composition by Continuous/Batch Grinding Methods
by Emrah Durgut
Minerals 2025, 15(10), 1070; https://doi.org/10.3390/min15101070 - 12 Oct 2025
Viewed by 297
Abstract
In this study, the effects of batch and continuous grinding on the ceramic floor tile body were investigated in terms of cost, capacity, and technical aspects. In batch milling, a changing speed during grinding was more efficient than a constant speed. Capacity and [...] Read more.
In this study, the effects of batch and continuous grinding on the ceramic floor tile body were investigated in terms of cost, capacity, and technical aspects. In batch milling, a changing speed during grinding was more efficient than a constant speed. Capacity and energy consumption increased as the mill rotation speed increased in continuous grinding. Specific energy consumptions were measured as 36 kW/ton and 43.1 kW/ton, with 1.6 ton/h and 8.375 t/h capacities. Additionally, d10, d50, and d90 values for ground ceramic floor tile bodies were determined to be 2.5, 9.5, and 47.2 µm and 2.5, 9.4, and 48.1 µm for batch and continuous grinding, respectively. No significant difference was observed in the color and shrinkage values, while water absorptions were calculated to be 1.1% and 0.3% as sintering properties for batch and continuous methods, respectively. In the phase analysis of a sintered body prepared using the continuous method, mullite and quartz were observed, while microcline was also analyzed differently from such minerals for the batch one. Structural changes, surface morphology, and roughness were also interpreted by DTA/TG, SEM, and AFM analysis. The presence of plastic clay minerals during the grinding process in batch milling caused non-plastic raw materials not to be ground sufficiently, and sintering characteristics changed. Full article
(This article belongs to the Special Issue From Clay Minerals to Ceramics: Progress and Challenges)
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