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Recent Articles  

43 pages, 28902 KiB  
Review
Flexible Wearable Heart Rate Monitoring System and Low-Power Design: A Review
by Ciyan Zheng, Chengming Yong, Qi Wei and Fei Qiao
Sensors 2025, 25(16), 4913; https://doi.org/10.3390/s25164913 - 8 Aug 2025
Abstract
In an increasingly interconnected world, flexible wearable systems have emerged as transformative technologies, revolutionizing the monitoring and management of personal health and daily activities. With the surging demand for health monitoring, these systems have demonstrated remarkable potential in heart rate monitoring and the [...] Read more.
In an increasingly interconnected world, flexible wearable systems have emerged as transformative technologies, revolutionizing the monitoring and management of personal health and daily activities. With the surging demand for health monitoring, these systems have demonstrated remarkable potential in heart rate monitoring and the detection of heart rate irregularities. This paper provides a comprehensive review of the design of flexible wearable heart rate monitoring systems, with a particular focus on their low-power design. The low-power design is reviewed from four constituent modules of the system, namely the heart rate signal acquisition module, preprocessing module, computation module, and transmission/output module. Meanwhile, for each module, low-power design strategies are reviewed from three different dimensions: hardware-level optimization, algorithm-level enhancement, and hardware–algorithm co-design approaches. Through this multi-dimensional review, the importance of low-power design in flexible wearable heart rate monitoring systems is emphasized. In addition, this paper offers a perspective on the future of low-power design for flexible wearable heart rate monitoring systems. With the advancements in materials science and flexible electronics technology, it is believed that there will surely be better design methods and strategies for the low-power design of flexible wearable systems. Full article
(This article belongs to the Special Issue Edge AI for Wearables and IoT)
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27 pages, 779 KiB  
Systematic Review
The Effect of Physical-Activity-Based Programs on School Children’s Cognitive Competence-Related Variables: A Systematic Review of Randomized Controlled Trials
by Gorka Brioa Saez, Markel Rico-González and Natalia Monge Gómez
Sports 2025, 13(8), 261; https://doi.org/10.3390/sports13080261 (registering DOI) - 8 Aug 2025
Abstract
(1) Background: Aimed at improving school children’s motor, social, emotional, and cognitive competence (CC), the effects of physical activity (PA) have been widely investigated. However, investigations into the effects of PA during Physical Education (PE) on children’s CC have only been subject to [...] Read more.
(1) Background: Aimed at improving school children’s motor, social, emotional, and cognitive competence (CC), the effects of physical activity (PA) have been widely investigated. However, investigations into the effects of PA during Physical Education (PE) on children’s CC have only been subject to growing interest among researchers in recent years. To bring it, the present article aims to systematically summarize the PE intervention programs whose effects on school children’s CC have been evaluated through a randomized controlled trial (RCT) design. (2) Methods: This systematic review follows the PRISMA guidelines and has been registered in PROSPERO: CRD420251083924. A systematic literature search was conducted across four electronic databases: PubMed, SCOPUS, Web of Science, and ProQuest Central. The articles were included based on the following inclusion criteria: (i) primary education children, (ii) children practicing PE, (iii) outcomes related to CC, and (iv) articles providing evaluations through RCTs. The quality assessment of all included articles was performed using the PEDro scale. (3) Results: Out of 219 initially identified studies, 25 met the inclusion criteria and were synthesized qualitatively. (4) Conclusions: The main outcomes highlighted that PE has a positive effect on primary school children’s cognitive ability, including attention, creativity, memory, academic performance, and inhibitory control. Thus, elementary school teachers are encouraged to implement these intervention programs to foster children’s CC. However, different types of interventions should be analyzed to highlight their effects on different variables of CC. Full article
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34 pages, 5859 KiB  
Article
The Economics of Adaptive Reuse—Comparative Cost Analysis of Revitalization vs. Demolition and Reconstruction at Radex Park Marywilska
by Janusz Sobieraj, Marcos Fernandez and Dominik Metelski
Buildings 2025, 15(16), 2828; https://doi.org/10.3390/buildings15162828 (registering DOI) - 8 Aug 2025
Abstract
The revitalization of post-industrial areas has emerged as a critical strategy for sustainable urban development, achieving a balance between economic, social, and environmental priorities. This study assesses the transformative capacity of revitalization strategies by conducting a comprehensive case analysis of “Radex Park Marywilska” [...] Read more.
The revitalization of post-industrial areas has emerged as a critical strategy for sustainable urban development, achieving a balance between economic, social, and environmental priorities. This study assesses the transformative capacity of revitalization strategies by conducting a comprehensive case analysis of “Radex Park Marywilska” in Warsaw, Poland. The analysis quantifies the benefits of revitalization in comparison to demolition and new construction methodologies. An examination of the revitalization initiative demonstrates that it yielded a total of PLN 41.15 million in benefits, with PLN 28.13 million attributed to direct cost savings and another PLN 13.02 million resulting from environmental improvements. In practical terms, this equates to a return of PLN 1.93 for every PLN 1 invested—a notably efficient outcome. The project transformed four industrial buildings, significantly increasing usable space in some (e.g., Building L1 by 345% and K1 by 21.6%) while slightly reducing it in others (B1 by 4.7% and I1 by 10.5%). From an environmental impact perspective, the success was staggering: 48,217 tons of carbon dioxide emissions were prevented, and 72,315 tons of building waste were diverted from landfills. To these figures, the study further adds a return in economic activity, the generation of new jobs, and improvement in local infrastructure. The retrofitting of historical buildings to contemporary standards has encountered numerous challenges; nonetheless, the implementation of circular economy principles has succeeded in negating such challenges. Generally, the results show economic, environmental, and social benefits of revitalization projects compared to new, greenfield projects. The case study provides valuable lessons to policymakers and urban planners, rendering adaptive reuse a fundamental approach in achieving sustainable urban development. Full article
(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)
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21 pages, 2528 KiB  
Article
Escherichia coli Strains Originating from Raw Sheep Milk, with Special Reference to Their Genomic Characterization, Such as Virulence Factors (VFs) and Antimicrobial Resistance (AMR) Genes, Using Whole-Genome Sequencing (WGS)
by Theodora Skarlatoudi, Glykeria-Myrto Anagnostou, Vasileios Theodorakis, Loulouda Bosnea and Marios Mataragas
Vet. Sci. 2025, 12(8), 744; https://doi.org/10.3390/vetsci12080744 (registering DOI) - 8 Aug 2025
Abstract
The objective of this work was to deliver a comprehensive genetic characterization of a collection of E. coli strains isolated from raw sheep milk. To complete our purpose, the technique of whole-genome sequencing, coupled with bioinformatics and phenotypic characterization of antimicrobial resistance, was [...] Read more.
The objective of this work was to deliver a comprehensive genetic characterization of a collection of E. coli strains isolated from raw sheep milk. To complete our purpose, the technique of whole-genome sequencing, coupled with bioinformatics and phenotypic characterization of antimicrobial resistance, was performed. These Gram-negative, facultative anaerobic bacteria belong to the family Enterobacteriaceae, together with other intestinal pathogens, such as Shigella spp. and Salmonella spp. Genetic analysis was carried out on all strains (phylogram, sequence types, VFs, AMR genes, and pangenome). The results showed the presence of various genetic traits that are related to virulence factors contributing to their pathogenic potential. In addition, genes conferring resistance to antibiotics were also detected and confirmed using phenotypic tests. Finally, the genome of the E. coli strains was characterized by the presence of several mobile genetic elements, thus facilitating the exchange of various genetic elements, associated with virulence and antimicrobial resistance, within and beyond the species, through horizontal gene transfer. Contaminated raw sheep milk with pathogenic E. coli strains is particularly alarming for cheese production in artisan dairies. Full article
(This article belongs to the Special Issue Occurrence and Antimicrobial Resistance of Bacterial Pathogens in Primary Animal Food Production)
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36 pages, 543 KiB  
Review
Homologous Recombination Deficiency in Ovarian and Breast Cancers: Biomarkers, Diagnosis, and Treatment
by Bhaumik Shah, Muhammad Hussain and Anjali Seth
Curr. Issues Mol. Biol. 2025, 47(8), 638; https://doi.org/10.3390/cimb47080638 - 8 Aug 2025
Abstract
Homologous recombination deficiency (HRD) is a pivotal biomarker in precision oncology, driving therapeutic strategies for ovarian and breast cancers through impaired DNA double-strand break repair. This narrative review synthesizes recent advances (2021–2025) in HRD’s biological basis, prevalence, detection methods, and clinical implications, focusing [...] Read more.
Homologous recombination deficiency (HRD) is a pivotal biomarker in precision oncology, driving therapeutic strategies for ovarian and breast cancers through impaired DNA double-strand break repair. This narrative review synthesizes recent advances (2021–2025) in HRD’s biological basis, prevalence, detection methods, and clinical implications, focusing on high-grade serous ovarian carcinoma (HGSOC; ~50% HRD prevalence) and triple-negative breast cancer (TNBC; 50–70% prevalence). HRD arises from genetic (BRCA1/2, RAD51C/D, PALB2) and epigenetic alterations (e.g., BRCA1 methylation), leading to genomic instability detectable via scars (LOH, TAI, LST) and mutational signatures (e.g., COSMIC SBS3). Advanced detection integrates genomic assays (Myriad myChoice CDx, Caris HRD, FoundationOne CDx), functional assays (RAD51 foci), and epigenetic profiling, with tools like HRProfiler and GIScar achieving >90% sensitivity. HRD predicts robust responses to PARP inhibitors (PARPi) and platinum therapies, extending progression-free survival by 12–36 months in HGSOC. However, resistance mechanisms (BRCA reversion, SETD1A/EME1, SOX5) and assay variability (60–70% non-BRCA concordance) pose challenges. We propose a conceptual framework in Section 10, integrating multi-omics, methylation analysis, and biallelic reporting to enhance detection and therapeutic stratification. Regional variations (e.g., Asian cohorts) and disparities in access underscore the need for standardized, cost-effective diagnostics. Future priorities include validating novel biomarkers (SBS39, miR-622) and combination therapies (PARPi with ATR inhibitors) to overcome resistance and broaden HRD’s applicability across cancers. Full article
(This article belongs to the Special Issue DNA Damage and Repair in Health and Diseases)
23 pages, 864 KiB  
Review
Physiological Mechanisms of and Therapeutic Approaches to the Gut Microbiome and Low-Grade Inflammation in Obesity
by Agnieszka Pelc, Weronika Fic, Tymoteusz Typrowicz and Ewelina Polak-Szczybyło
Curr. Issues Mol. Biol. 2025, 47(8), 637; https://doi.org/10.3390/cimb47080637 - 8 Aug 2025
Abstract
Obesity is a growing global health challenge, closely linked to chronic low-grade inflammation. This persistent, low-intensity immune response contributes to the development of metabolic, cardiovascular, and cancer-related diseases. A key player in this process is the gut microbiota. Dysbiosis, an imbalance in gut [...] Read more.
Obesity is a growing global health challenge, closely linked to chronic low-grade inflammation. This persistent, low-intensity immune response contributes to the development of metabolic, cardiovascular, and cancer-related diseases. A key player in this process is the gut microbiota. Dysbiosis, an imbalance in gut bacterial composition, disrupts metabolic function, weakens the intestinal barrier, and promotes the production of pro-inflammatory cytokines. In people with obesity, gut microbial diversity is reduced, and the ratio of beneficial to harmful bacteria shifts, affecting lipid metabolism and immune balance. Short-chain fatty acids, produced by gut bacteria, help maintain gut integrity and reduce inflammation. Butyrate, a major SCFA, also improves insulin sensitivity and may support obesity treatment. Diet plays a central role in shaping the gut microbiome. Western diets tend to promote dysbiosis and inflammation, while Mediterranean-style diets encourage the growth of beneficial bacteria. Targeted modulation of the microbiota through diet, probiotics, or medication emerges as a promising strategy for preventing and managing obesity. Full article
(This article belongs to the Special Issue Insights from Genetics, Epigenetics, and Microbiome Research in Obesity: Integrative Approaches to Understand Metabolic Disorders)
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33 pages, 5037 KiB  
Article
Convergent and Divergent Mitochondrial Pathways as Causal Drivers and Therapeutic Targets in Neurological Disorders
by Yanan Du, Sha-Sha Fan, Hao Wu, Junwen He, Yang He, Xiang-Yu Meng and Xuan Xu
Curr. Issues Mol. Biol. 2025, 47(8), 636; https://doi.org/10.3390/cimb47080636 - 8 Aug 2025
Abstract
Mitochondrial dysfunction is implicated across a spectrum of neurological diseases, yet its causal role and mechanistic specificity remain unclear. This study employed a multi-modal integrative analysis of mitochondrial gene expression in Alzheimer’s Disease (AD), Amyotrophic Lateral Sclerosis (ALS), Multiple Sclerosis (MS), and Parkinson’s [...] Read more.
Mitochondrial dysfunction is implicated across a spectrum of neurological diseases, yet its causal role and mechanistic specificity remain unclear. This study employed a multi-modal integrative analysis of mitochondrial gene expression in Alzheimer’s Disease (AD), Amyotrophic Lateral Sclerosis (ALS), Multiple Sclerosis (MS), and Parkinson’s Disease (PD) to address these gaps. We combined machine learning for predictive modeling with genetic causal inference methods (Mendelian Randomization, colocalization, PheWAS), followed by drug enrichment analysis and molecular docking. Our machine learning models, particularly Support Vector Machine and Multi-layer Perceptron, effectively classified these conditions, with MS exhibiting the highest predictability (mean Accuracy: 0.758). Causal inference analyses identified specific gene–disease links; for instance, genetically predicted increased expression of PDK1 was causally associated with an elevated risk for both AD (OR = 1.041) and ALS (OR = 1.037), identifying pyruvate metabolism as a shared vulnerability. In contrast, genes like SLC25A38 emerged as highly predictive specifically for PD. We also observed evidence of potential brain–periphery interaction, such as a bidirectional causal relationship between red blood cell indices and MS risk. Finally, drug enrichment analysis highlighted Celecoxib, and subsequent molecular docking predicted a strong binding affinity to PDK1 (docking score S = −6.522 kcal/mol), generating hypotheses for potential metabolic modulation. Taken together, this study provides a computational hypothesis framework suggesting mitochondrial pathways and targets that warrant future biological validation. This study provides specific, genetically supported evidence for the causal role of mitochondrial pathways in neurological diseases and identifies tangible targets for future therapeutic development. Full article
(This article belongs to the Collection Bioinformatics Approaches to Biomedicine)
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20 pages, 930 KiB  
Review
Neuroprotective Potential of Phytocompounds in the Treatment of Dementia: The State of Knowledge from the Scopolamine-Induced Animal Model of Alzheimer’s Disease
by Joanna Szala-Rycaj, Mirosław Zagaja, Aleksandra Szewczyk, Jolanta Polak and Marta Andres-Mach
Curr. Issues Mol. Biol. 2025, 47(8), 635; https://doi.org/10.3390/cimb47080635 - 8 Aug 2025
Abstract
Dementia is a broad category of neurodegenerative pathologies characterized by a progressive decline in two or more cognitive domains, including memory, language, executive and visuospatial functions, personality, and behavior, resulting in the loss of the ability to perform instrumental and/or basic daily activities. [...] Read more.
Dementia is a broad category of neurodegenerative pathologies characterized by a progressive decline in two or more cognitive domains, including memory, language, executive and visuospatial functions, personality, and behavior, resulting in the loss of the ability to perform instrumental and/or basic daily activities. One of the most common types of dementia is Alzheimer’s disease. Current approved treatments for Alzheimer’s disease are mainly limited to alleviating cognitive, behavioral, and psychological deficits. To date, four drugs belonging to two families have been approved for the treatment of Alzheimer’s disease: acetylcholinesterase inhibitors (donepezil, galantamine, rivastigmine) and antiglutamatergic drugs (memantine). Drugs delay the progression of the disease, but they cause a number of side effects. Many scientific studies have focused on finding natural products with potential neuroprotective properties and no or minimal cytotoxicity that can support current drug therapy. The main objective of this review is to analyze and describe the neuroprotective potential of selected groups of natural substances (polyphenols, alkaloids, terpenoids) in one of the commonly performed in vivo studies, the scopolamine-induced animal model of Alzheimer’s disease. The article is a review of literature reports from the last 5 years, and the information collected indicates that the neuroprotective activity of natural compounds may prove to be a potential alternative or add-on for Alzheimer’s disease therapy. Full article
(This article belongs to the Special Issue Cellular and Molecular Biology Insights into Neurodegenerative Diseases: From Pathogenesis to Therapeutic Targets)
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30 pages, 2403 KiB  
Article
Computational Exploration of Bacterial Compounds Targeting Arginine-Specific Mono-Adp-Ribosyl-Transferase 1 (Art1): A Pathway to Novel Therapeutic Anticancer Strategies
by Nedjwa Mansouri, Ouided Benslama, Sabrina Lekmine, Hichem Tahraoui, Mohammad Shamsul Ola, Jie Zhang and Abdeltif Amrane
Curr. Issues Mol. Biol. 2025, 47(8), 634; https://doi.org/10.3390/cimb47080634 - 8 Aug 2025
Abstract
Cancer is a multifaceted and life-threatening disease characterized by the unregulated proliferation of malignant cells. Developing new therapies and diagnostic methods for cancer remains a critical focus of research. Proteins involved in cancer progression are being targeted to facilitate the discovery of effective [...] Read more.
Cancer is a multifaceted and life-threatening disease characterized by the unregulated proliferation of malignant cells. Developing new therapies and diagnostic methods for cancer remains a critical focus of research. Proteins involved in cancer progression are being targeted to facilitate the discovery of effective biological treatments. Among these, the ART1 protein plays a critical role in promoting cancer progression, establishing it as a key target for drug therapy. Actinomycetes, known for their anticancer activity, were explored in this study for their potential to inhibit ART1. One hundred bioactive secondary metabolites derived from actinomycetes were subjected to in silico screening to evaluate their potential anticancer activity through inhibition of ART1. The three-dimensional structure of ART1 was generated using the SWISS-MODEL tool and validated through the Save server 6.0 and ProSa web. The structural stability of the ART1 protein was evaluated through molecular dynamics analysis using the iMod server. The potential active sites within the ART1 structure were mapped using the Computed Atlas of Surface Topography of Proteins (CASTp). Molecular docking and protein–ligand interaction studies were performed using AutoDock Vina. Additionally, pharmacophore modeling was conducted using the Pharmit server to identify promising compounds. Toxicity predictions and in silico drug-likeness assessments were carried out using Swiss-ADME and ADMET Lab which evaluate Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties. Molecular dynamics simulations results for the ART1 protein demonstrated high stability over time. Additionally, resistomycin, borrelidin, tetracycline, and oxytetracycline were identified as the top-ranking ligands, exhibiting binding energies between −8.9 kcal/mol and −9.3 kcal/mol. These ligands exhibited favorable pharmacophore profiles, drug-likeness, and ADMET properties, indicating their potential safety and efficacy in humans. In conclusion, the selected actinomycete-derived ligands show promise for further research and development as potential anticancer agents targeting ART1. Full article
(This article belongs to the Special Issue Molecular Keys to Bioactivity: Pharmacophore and SAR Exploration in Organic Compounds)
17 pages, 1092 KiB  
Article
Frailty Trajectories and Social Determinants of Health of Older Adults in Rural and Urban Areas in the U.S.
by Hillary B. Spangler, David H. Lynch, Wenyi Xie, Nina Daneshvar, Haiyi Chen, Feng-Chang Lin, Elizabeth Vásquez and John A. Batsis
J. Ageing Longev. 2025, 5(3), 27; https://doi.org/10.3390/jal5030027 - 8 Aug 2025
Abstract
Older adults, aged 65 years and older, develop and experience frailty at different rates. Yet, this heterogeneity is not well understood, nor are the factors, such as geographical residence, that influence different frailty trajectories and subsequent healthcare outcomes. We aim to identify factors [...] Read more.
Older adults, aged 65 years and older, develop and experience frailty at different rates. Yet, this heterogeneity is not well understood, nor are the factors, such as geographical residence, that influence different frailty trajectories and subsequent healthcare outcomes. We aim to identify factors that impact older adult frailty trajectories, skilled nursing facility (SNF) placement, and death. Medicare beneficiaries ≥ 65 years from the National Health and Aging Trend Study (2011–2021) with complete data using Fried’s frailty phenotype on ≥ 2 occasions (n = 6082) were included in the analysis. Rural/urban residence was defined using Office of Management and Budget criteria. Latent class growth analysis (LCGA) helped identify four frailty trajectories: improving, stable, mildly worsening, and drastically worsening. Cox proportional hazard analysis and logistic regression determined the association of social determinants of health (sex, race/ethnicity, education and income level, healthcare and transportation access, and social support) on death and SNF admission, respectively. The mean age was 75.12 years (SE 0.10); 56.4% female, 18.6% (n = 1133) rural residence. In the overall sample, 1094 (23.0%) older adults were classified as robust, 3242 (53.0%) as pre-frail, and 1746 (24.0%) as frail. Urban residence did not modify the relationship between frailty trajectories and SNF placement, nor did geographic residence on death. Higher income was associated with lower odds of a worse frailty trajectory, SNF admission, and a lower hazard of death, all reaching statistical significance. Future work should examine the factors that influence older adult participation in research and the impact of standardizing the definition of geographic rurality on older adult frailty and health outcomes. Full article
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18 pages, 833 KiB  
Article
Changes in Food Service Operations in a Brazilian Tourist Area: A Longitudinal Approach to the Impacts of the COVID-19 Pandemic
by Eduarda Marcely Franco Souza, Natália Caldeira de Carvalho, Iara Bank Setti, Rafaela Rosa da Silva and Juliana Costa Liboredo
COVID 2025, 5(8), 130; https://doi.org/10.3390/covid5080130 - 8 Aug 2025
Abstract
This study aimed to evaluate the effects of the COVID-19 pandemic on food service operations in a Brazilian tourist area. It is a longitudinal observational study. Data collection was performed through telephone interviews with owners or managers of 54 food service establishments concerning [...] Read more.
This study aimed to evaluate the effects of the COVID-19 pandemic on food service operations in a Brazilian tourist area. It is a longitudinal observational study. Data collection was performed through telephone interviews with owners or managers of 54 food service establishments concerning the pre-pandemic period (T0) and two time points during the pandemic (T1 and T2). Findings revealed a reduction in the number of establishments providing on-site service at T1 compared to T0, followed by an increase at T2. A reduction in operating hours (56.7%) and profits (100%) affected more establishments at T1 than at T2 (26.7% and 76.7%, respectively) (p < 0.05). At T2, with the resumption of in-person activities, there was a significant decrease in the use of sales channels such as telephone (p < 0.001), messaging applications (p = 0.0012), and websites/apps/social media (p = 0.009) compared to T0 and T1. The pandemic also caused an increase in mask use by employees (p < 0.01) and the availability of hand sanitizer dispensers at establishments (p < 0.01) during T1 and T2. At T2, there was also an increase in the supply of disposable cutlery, cups (p = 0.02), and gloves for customers (p = 0.015) compared to the pre-pandemic period. Full article
(This article belongs to the Section COVID Public Health and Epidemiology)
18 pages, 802 KiB  
Article
A Population-Based Study of Sex Differences in Cardiovascular Disease Mortality Among Adults with Ocular Cancer in the United States, 2000–2021
by Duke Appiah, Abdulkader Almosa, Eli Heath, Noah De La Cruz and Obadeh Shabaneh
Curr. Oncol. 2025, 32(8), 447; https://doi.org/10.3390/curroncol32080447 - 8 Aug 2025
Abstract
Little is known about the manifestation of cardiovascular diseases (CVD) among individuals with ocular cancer (OC), a population for whom reports on sex-based differences in survival remain inconsistent. We evaluated the occurrence of CVD mortality after the diagnosis of OC in the United [...] Read more.
Little is known about the manifestation of cardiovascular diseases (CVD) among individuals with ocular cancer (OC), a population for whom reports on sex-based differences in survival remain inconsistent. We evaluated the occurrence of CVD mortality after the diagnosis of OC in the United States. We used data from 11,460 adults diagnosed with OC from 2000 to 2021 who were ≥18 years and were enrolled in the Surveillance, Epidemiology, and End Results program. We used competing risk models to estimate hazard ratios (HR) and 95% confidence intervals (CI). About 55% of adults were male, with uveal melanoma being the most common OC (72.1%). During a median follow-up of 5.4 years, 4561 deaths occurred, with 15% attributable to CVD. In models adjusted for sociodemographic and clinico-pathophysiological factors, male adults had elevated risk for CVD mortality (HR: 1.54, 95%CI: 1.31–1.81). The sex difference in CVD mortality was more prominent for adults diagnosed with OC before 65 years of age (HR: 2.15; 95%CI: 1.48–3.11). These associations remained largely unchanged in propensity score analysis. In this study of adults with OC, CVD deaths were higher among young and middle-aged males. Implementation of optimal cardiovascular health interventions after diagnosis of OC, especially among men, holds promise in enhancing survival in this population. Full article
11 pages, 240 KiB  
Entry
Naturalistic Faces and Faces in Paintings: An Overview
by Paulo Ventura and Francisco Cruz
Encyclopedia 2025, 5(3), 117; https://doi.org/10.3390/encyclopedia5030117 - 8 Aug 2025
Definition
Faces are the most important social signal in our society. Nevertheless, there is a problem with faces: they are all made up of the same features in the same general order (the eyes are above the nose, which is above the mouth). To [...] Read more.
Faces are the most important social signal in our society. Nevertheless, there is a problem with faces: they are all made up of the same features in the same general order (the eyes are above the nose, which is above the mouth). To process faces one uses a special kind of processing, which is holistic, considering the integration of the face’s features and their relative distances. One may distinguish the recognition of known faces and the processing of unfamiliar faces. Face processing abilities may be lost due to either a lesion or developmental reasons, i.e., prosopagnosia. To further explore these reasons, one could consider pictorial representations of faces—such as faces in paintings. These are particularly interesting because different art styles differ in how realistic/distorted they are relative to real faces, which allows for exploring people’s sensitivity to face-likeness. In a way, individuals are not sensitive to face-likeness. In face matching part–whole tasks, performance does not differ across art styles. Still, individuals are not fully impervious to distortion: early markers of face processing (N170 component) are sensitive to face-likeness, with more realistic (vs. distorted) art styles eliciting responses more in line with those of real faces. Full article
(This article belongs to the Section Arts & Humanities)
18 pages, 1412 KiB  
Article
An Automated Tool for Freight Carbon Footprint Estimation: Insights from an Automotive Case Study
by Souha Lehmam, Hind El Hassani and Louiza Rabhi
Future Transp. 2025, 5(3), 107; https://doi.org/10.3390/futuretransp5030107 - 8 Aug 2025
Abstract
Reducing carbon dioxide emissions in freight transportation is considered a key objective in contemporary sustainable supply chain management. While several tools and standards have been developed to estimate transport-related emissions, most rely on static assumptions, generic emission factors and are limited to single-scenario [...] Read more.
Reducing carbon dioxide emissions in freight transportation is considered a key objective in contemporary sustainable supply chain management. While several tools and standards have been developed to estimate transport-related emissions, most rely on static assumptions, generic emission factors and are limited to single-scenario evaluation. Therefore, their operational applicability remains restricted especially in dynamic and complex environments where fast responsiveness is essential. Moreover, these tools are often disconnected from real-world constraints and rarely incorporate expert’s input. To address this gap, this study introduces a hybrid decision-support CO2 assessment framework combining theoretical models with field-based inputs. The proposed approach combines structured interviews conducted with 300 supply chain consultants and is operationalized through a dynamic digital tool that enables users to simulate multiple scenarios simultaneously. The tool accounts for critical variables including transport mode, routing distance, vehicle configuration, and shipment characteristics, thereby enabling a contextualized and flexible analysis of carbon emissions. A validation case study was conducted to confirm the applicability of the tool to industrial settings. Computational results show significant variation in emissions across different routing strategies and modal configurations, highlighting the tool’s capacity to support environmentally informed decisions. This research offers both a replicable methodology and a practical contribution: a user-centered, multi-scenario tool that improves the accuracy, adaptability, and strategic value of CO2 emission calculations in freight transport planning. Full article
23 pages, 9644 KiB  
Review
Xenobiotics and Broiler Microbiota: Molecular Insights into Bacterial Antimicrobial Resistance and Food Safety Implications for Human Health
by Marta Gonçalves, Nuno Vale, Paulo Martins da Costa and Paula Silva
J. Xenobiot. 2025, 15(4), 129; https://doi.org/10.3390/jox15040129 - 8 Aug 2025
Abstract
Antibiotics have played an evolving role in poultry production, generally transitioning from widespread use to more precise and controlled applications. Despite this shift, the long-term consequences of earlier practices continue to affect current and future generations. This review aims to explore the multifaceted [...] Read more.
Antibiotics have played an evolving role in poultry production, generally transitioning from widespread use to more precise and controlled applications. Despite this shift, the long-term consequences of earlier practices continue to affect current and future generations. This review aims to explore the multifaceted consequences of antibiotic use in poultry production, with particular emphasis on the growing challenge of antimicrobial resistance (AMR). Evidence demonstrates that antibiotic use affects the gut microbiome, often resulting in long-lasting decreased diversity and restructuring of the bacterial communities. Moreover, consequences extend to the surrounding environment, including the airborne microbiome, water systems, and poultry litter, where alterations in microbial communities tend to be more subtle, whereas changes in genetic elements related to resistance are often more pronounced (drift). The emergence and persistence of resistance in these environments facilitate the spread of resistance genes across ecological boundaries, contributing to the broader dissemination of AMR. These findings highlight the complex, interconnected nature of AMR, underscoring the urgent need for responses grounded in the One Health framework. Such approaches are essential for safeguarding both public and environmental health while maintaining sustainable poultry production practices. Full article
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13 pages, 288 KiB  
Article
Independent Predictors of Mycoplasma pneumoniae Infection: A Retrospective Cohort Study Among Hospitalized Adults in an East Texas Health Facility
by Menkeoma Laura Okoli, Ibuchim Chinemerem Okoli, Abuoma Chisom Okoli, Ikechukwu Umezurike and Celestine Ishiekwene
J. Respir. 2025, 5(3), 13; https://doi.org/10.3390/jor5030013 - 8 Aug 2025
Abstract
Background: Community-acquired pneumonia in the United States accounts for over five million cases annually, with an estimated one million hospitalizations. About two million of these annual cases and over 100,000 annual hospitalizations are caused by mycoplasma pneumonia. Although mycoplasma can sometimes present as [...] Read more.
Background: Community-acquired pneumonia in the United States accounts for over five million cases annually, with an estimated one million hospitalizations. About two million of these annual cases and over 100,000 annual hospitalizations are caused by mycoplasma pneumonia. Although mycoplasma can sometimes present as a benign disease, it can cause severe complications, which are referred to as pulmonary and extrapulmonary complications. This study aims to identify independent predictors of Mycoplasma pneumoniae infection among adult patients in our facility in East Texas. Methods: This retrospective cohort study used data from the electronic health record (EPIC Systems). Multivariate analyses were conducted to determine variables independently associated with mycoplasma pneumonia. The main outcome variable was the presence of mycoplasma pneumonia as indicated by serology testing. Results: Among 1714 adult patients in our study population who underwent antibody testing, 297 (17.3%) tested positive for mycoplasma pneumonia. Mycoplasma pneumonia was significantly associated with age, sex, race, season, and tobacco use after controlling for other variables. Adults who do not use tobacco had lower odds of having mycoplasma pneumonia compared to adults who are currently using tobacco (OR = 0.64, C.I. = 0.48–0.75). Also, these adults are more likely to have MP during non-respiratory season as compared to respiratory season (OR = 1.25, C.I. = 1.10–1.61). Conclusions: Tobacco use, season, age, race, and sex were all significant predictors of mycoplasma pneumonia. These findings highlight target areas for health care professionals and organizations to tackle to help improve patient health outcomes. Full article
(This article belongs to the Collection Feature Papers in Journal of Respiration)
16 pages, 4024 KiB  
Article
Phenylthiadiazole-Based Schiff Base Fluorescent Chemosensor for the Detection of Al3+ and Zn2+ Ions
by Jorge Heredia-Moya, Ariana Fiallos-Ayala and Amanda Cevallos-Vallejo
Chemistry 2025, 7(4), 128; https://doi.org/10.3390/chemistry7040128 - 8 Aug 2025
Abstract
Aluminum (Al) and zinc (Zn) are two of the most widely used metals in industry, and their excessive accumulation in the body has been linked to serious diseases like Alzheimer’s, Parkinson’s, and cancer. This highlights the need for effective ways to detect and [...] Read more.
Aluminum (Al) and zinc (Zn) are two of the most widely used metals in industry, and their excessive accumulation in the body has been linked to serious diseases like Alzheimer’s, Parkinson’s, and cancer. This highlights the need for effective ways to detect and measure them. In this study, we synthesized the fluorescent chemosensor 1, which contains a Schiff base and a 1,3,4-thiadiazole ring in its structure, and evaluated its fluorescent response in the presence of various metal ions. The chemosensor enabled the selective quantification of Al3+ and Zn2+ ions through excitations at different wavelengths, yielding differentiated fluorescent emissions. For Al3+, excitation at 370 nm generated a strong emission at 480 nm, whereas for Zn2+, excitation at 320 nm led to a new small broad emission at 560 nm. We established detection limits of 2.22 × 10−6 M for Al3+ and 1.62 × 10−5 M for Zn2+; their binding stoichiometry was found to be 1:1 for Al3+ and 2:1 for Zn2+, based on Job’s plot analysis. These results show that chemosensor 1 is a promising tool for detecting Al3+ and Zn2+. Full article
(This article belongs to the Special Issue Organic Chalcogen Chemistry: Recent Advances)
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30 pages, 2591 KiB  
Article
Prompt Optimization with Two Gradients for Classification in Large Language Models
by Anthony Jethro Lieander, Hui Wang and Karen Rafferty
AI 2025, 6(8), 182; https://doi.org/10.3390/ai6080182 - 8 Aug 2025
Abstract
Large language models (LLMs) generally perform well in common tasks, yet are often susceptible to errors in sophisticated natural language processing (NLP) on classification applications. Prompt engineering has emerged as a strategy to enhance their performance. Despite the effort required for manual prompt [...] Read more.
Large language models (LLMs) generally perform well in common tasks, yet are often susceptible to errors in sophisticated natural language processing (NLP) on classification applications. Prompt engineering has emerged as a strategy to enhance their performance. Despite the effort required for manual prompt optimization, recent advancements highlight the need for automation to reduce human involvement. We introduced the PO2G (prompt optimization with two gradients) framework to improve the efficiency of optimizing prompts for classification tasks. PO2G demonstrates improvement in efficiency, reaching almost 89% accuracy after just three iterations, whereas ProTeGi requires six iterations to achieve a comparable level. We evaluated PO2G and ProTeGi on a benchmark of nine NLP tasks, three tasks from the original ProTeGi study, and six non-domain-specific tasks. We also evaluated both frameworks on seven legal-domain classification tasks. These results provide broader insights into the efficiency and effectiveness of prompt optimization frameworks for classification across diverse NLP scenarios. Full article
(This article belongs to the Special Issue Large Language Models and Retrieval-Augmented Generation in Natural Language Processing, Human–Robot Interaction and Quantum Computing)
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26 pages, 3197 KiB  
Review
Aromaticity and Antiaromaticity: How to Define Them
by Marija Baranac-Stojanović
Chemistry 2025, 7(4), 127; https://doi.org/10.3390/chemistry7040127 - 8 Aug 2025
Abstract
Aromaticity and antiaromaticity are concepts that are often used to explain and predict the physical and chemical properties of cyclic conjugated compounds. They are associated with 4n + 2 and 4n cyclically arranged electrons that are delocalized and mostly localized, respectively. The large [...] Read more.
Aromaticity and antiaromaticity are concepts that are often used to explain and predict the physical and chemical properties of cyclic conjugated compounds. They are associated with 4n + 2 and 4n cyclically arranged electrons that are delocalized and mostly localized, respectively. The large number of papers devoted to these concepts, together with two recent conferences on aromaticity (Aromaticity 2018 and 2025, Mexico) that brought together experts from all over the world to discuss aromaticity and antiaromaticity and their applications testify to their importance, but also to the lack of a simple and easily understandable definition. This review highlights the most important manifestations of (anti)aromaticity by considering selected examples from the literature, chosen to provide us with a clearer picture of these two concepts. Full article
(This article belongs to the Special Issue Aromaticity and Antiaromaticity: Refining Concepts and Expanding Perspectives)
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19 pages, 2082 KiB  
Article
Numerical Modeling of Levee Failure Mechanisms by Integrating Seepage and Stability Processes
by Liaqat Ali, Shiro Konno, Yoshiya Igarashi and Norio Tanaka
GeoHazards 2025, 6(3), 44; https://doi.org/10.3390/geohazards6030044 - 8 Aug 2025
Abstract
Levee failures caused by prolonged flooding and elevated upstream water levels pose a significant risk to floodplain communities, especially as the number of extreme hydrological events increases under climate change. Understanding seepage-induced weakening and failure mechanisms is essential for improving levee design and [...] Read more.
Levee failures caused by prolonged flooding and elevated upstream water levels pose a significant risk to floodplain communities, especially as the number of extreme hydrological events increases under climate change. Understanding seepage-induced weakening and failure mechanisms is essential for improving levee design and resilience. This study develops a numerical framework that integrates unsaturated and saturated seepage analysis with slope stability evaluation to simulate seepage front progression and predict failure initiation. The model employs van Genuchten-based soil water retention properties and experimentally derived hydraulic conductivities, with results validated against five experimental cases with varying hydraulic conductivity contrasts between the levee body and foundation soils. The simulations reproduced seepage front evolution and slope deformation patterns with good agreement with experimental observations. In cases with high permeability contrasts, the model captured foundation-dominant seepage behavior, while moderate- and low-contrast scenarios showed close alignment with observed phreatic line development. Slight deviations were noted in failure timing, but the framework demonstrated potential for reproducing seepage-induced instability in levees. The findings contribute to understanding how the internal soil composition governs levee performance under flooding and provide a basis for developing seepage countermeasures and early warning tools. This approach offers practical value for risk-informed levee design and flood management. Full article
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19 pages, 2934 KiB  
Systematic Review
A Systematic Review and Meta-Analysis of the Success Rate of the Primary Probing in Pediatric Patients with Congenital Nasolacrimal Duct Obstruction in Different Age Groups
by Zhansaya Sultanbayeva, Auyeskhan Dzhumabekov, Neilya Aldasheva, Botagoz Issergepova, Yerzhan Kuanyshbekov, Maiya Taushanova and Indira Karibayeva
Medicina 2025, 61(8), 1432; https://doi.org/10.3390/medicina61081432 - 8 Aug 2025
Abstract
Background: Primary probing of the nasolacrimal duct remains the first-line surgical intervention for congenital nasolacrimal duct obstruction (CNLDO) in infants and young children. However, age-dependent success rates have been less thoroughly investigated. This systematic review and meta-analysis aims to evaluate the age-related success [...] Read more.
Background: Primary probing of the nasolacrimal duct remains the first-line surgical intervention for congenital nasolacrimal duct obstruction (CNLDO) in infants and young children. However, age-dependent success rates have been less thoroughly investigated. This systematic review and meta-analysis aims to evaluate the age-related success rates of primary probing in children with CNLDO. Methods: Systematic literature searches were performed in PubMed, Web of Science, Scopus, ScienceDirect, and Google Scholar in May 2025. A random-effects model was applied to estimate the overall success rate, while sensitivity analyses and publication bias assessments were performed to explore sources of variability. All statistical analyses were carried out using the “meta” and “metafor” packages in RStudio. Results: This meta-analysis reveals age-stratified success rates of primary probing for CNLDO: the highest pooled success rate occurred in infants aged 0–6 months (90.67%, I2 = 81%, p < 0.01), with procedures under general anesthesia achieving 95.42% (I2 = 50%; p = 0.11) efficacy. Success rates remained favorable in the 6–12 month group (85.18%, I2 = 86%, p < 0.01 overall; 89.60% with general anesthesia) but declined progressively thereafter (82.34%, I2 = 78%, p < 0.01 at 12–24 months). While a modest rebound occurred in the 24–48 month group (85.33%, I2 = 69%, p < 0.01), the oldest cohort (48+ months) demonstrated markedly reduced efficacy (63.47%, I2 = 66%, p = 0.05), despite exclusive use of general anesthesia. Conclusion: Primary probing yields the most favorable outcomes when conducted before 12 months of age, particularly under general anesthesia. Nonetheless, the overall certainty of evidence is low—mainly due to variability across studies—which should be taken into account in clinical decision-making. Full article
(This article belongs to the Special Issue Advances in Diagnosis and Therapies of Ocular Diseases)
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24 pages, 4363 KiB  
Article
Deep Introspection Regarding Cumulative Prognostic Factors in Liposarcoma and Atypical Lipomatous Tumor
by Ana-Maria Ciongariu, Șerban-Ștefan Radu, Adrian-Vasile Dumitru, Cătălin Cîrstoiu, Valentin Enache, Andrei Marin, Cosmin Creangă and Mariana Costache
Medicina 2025, 61(8), 1431; https://doi.org/10.3390/medicina61081431 - 8 Aug 2025
Abstract
Background and Objectives: Prognostic evaluation for patients with liposarcoma and atypical lipomatous tumor is a complex process, considering the marked heterogeneity of this group of mesenchymal neoplasms. At the moment, guidelines recommend determining the tumor’s histological grade by documenting proliferative activity and [...] Read more.
Background and Objectives: Prognostic evaluation for patients with liposarcoma and atypical lipomatous tumor is a complex process, considering the marked heterogeneity of this group of mesenchymal neoplasms. At the moment, guidelines recommend determining the tumor’s histological grade by documenting proliferative activity and the presence of tumor necrosis. Proliferative intratumoral activity is an important tool for risk estimation; therefore, it has been studied using both conventional histopathological mitotic count and analysis of the Ki67 proliferation index. The histopathological subtype is of utmost importance for assessing disease progression and survival for liposarcoma, as pleomorphic and dedifferentiated subtypes often have an unfavorable evolution, while a well-differentiated liposarcoma/atypical lipomatous tumor clinically behaves like locally aggressive neoplasms. In a previous study that we published, we created an algorithm with prognostic–predictive significance for liposarcoma, the LEMON (Liposarcoma Evaluation Mitosis Origin Necrosis) two-tiered system, integrating histological subtype, mitotic activity, and tumor necrosis. The aims of the present study are to depict the overall survival of patients with liposarcoma stratified by Kaplan–Meier analysis categorized by tumor histological grade and to underscore the clinical utility of the LEMON score in risk stratification segregating indolent (low-risk) from aggressive (high-risk) liposarcomas across histological grades. Materials and Methods: We carried out a retrospective multicenter study on 99 patients diagnosed with primary liposarcoma between 2009 and 2023 who were followed up to assess the presence of metastases and their survival period. We performed Kaplan–Meier analysis for overall survival. Proliferative tumor activity was analyzed using conventional histopathological examination and Ki67 immunostaining, and the methods’ sensitivity was compared using Bland–Altman analysis. Results: In this respect, tumors with a higher histological grade were associated with worse survival with statistically significant differences in survival between G1 and G3 liposarcomas. Ki67 immunostaining proved to be more sensitive in detecting cellular proliferation compared to histologically observed mitoses. Furthermore, the risk stratification of cases by tumor grade and LEMON score effectively segregates indolent lesions (low risk) from aggressive subtypes (high risk) and may have clinical utility. Conclusions: The histopathological examination for liposarcoma subtype, mitotic index, and tumor necrosis is crucial for assessing the risk of progressive disease and the overall survival of patients. This study focuses on describing the prognostic significance of tumor grade, emphasizing proliferative activity evaluation. The clinical utility of a two-tiered system classifying liposarcomas into “low-risk” and “high-risk” lesions can be evaluated by providing an overview of overall survival in relation to histological grade and LEMON risk score. Risk stratification is particularly important in identifying the patients with liposarcoma who may benefit from intensified surveillance or adjuvant therapies. Full article
(This article belongs to the Section Oncology)
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22 pages, 475 KiB  
Article
How Much Do We Care About Cultural Heritage? A Rasch Scale Validation Study Among Young Adults
by Manuele Veggi, Alessandro von Gal, Laura Piccardi, Sofia Pescarin and Raffaella Nori
Heritage 2025, 8(8), 317; https://doi.org/10.3390/heritage8080317 - 8 Aug 2025
Abstract
Research in museum studies, heritage science, and cultural tourism highlights the “care theory” as a key framework for understanding the relationship between citizens and cultural heritage. Assessing the “sense of care” toward cultural objects and sites can provide valuable insights for museums, education, [...] Read more.
Research in museum studies, heritage science, and cultural tourism highlights the “care theory” as a key framework for understanding the relationship between citizens and cultural heritage. Assessing the “sense of care” toward cultural objects and sites can provide valuable insights for museums, education, and public policy. However, visitor studies lack suitable assessment tools. This study fills the gap by introducing the Scale for the Assessment of Caring for Cultural Heritage (CHARE), developed using the Rasch model. A preliminary 16-item questionnaire on visitors’ “caring behaviours” was designed through a literature review and expert focus groups, then tested on young adults: statistical analysis confirms the model’s reliability. While the study serves as a starting point for future research and further validation is needed, CHARE already offers a practical tool for museum practitioners to assess young visitors’ engagement and caring attitudes toward cultural heritage. Full article
(This article belongs to the Section Cultural Heritage)
11 pages, 3253 KiB  
Article
Effect of Reduced Graphene Oxide on Curing, Mechanical, and Thermal Properties of Polymethylene Tetrasulfide
by Milad Sheydaei
J. Compos. Sci. 2025, 9(8), 431; https://doi.org/10.3390/jcs9080431 - 8 Aug 2025
Abstract
Polymers have long been utilized in various industries due to their unique properties. Among the family of polymers, polysulfides are popular due to their strong adhesion and high resistance to fuels and solvents, and have been utilized in specific applications. In this study, [...] Read more.
Polymers have long been utilized in various industries due to their unique properties. Among the family of polymers, polysulfides are popular due to their strong adhesion and high resistance to fuels and solvents, and have been utilized in specific applications. In this study, polysulfide nanocomposites were prepared using methylene dichloride (MD), sodium tetrasulfide (Na2S4), and reduced graphene oxide (rGO) and then cured using a rheometer. Polymethylene tetrasulfide (PMTS) and nanocomposites were evaluated by Fourier transform infrared (FTIR), X-ray diffraction (XRD), and scanning electron microscopy (SEM). Also, the cured samples were evaluated using FTIR, XRD, SEM, thermogravimetric analysis (TGA), and tensile test. The results showed that PMTS has a completely amorphous structure. XRD and SEM results showed that with the addition of rGO, free sulfur accumulates in the matrix, which participates in the reaction during the curing process. The cured polymethylene tetrasulfide (CPMTS) and the cured nanocomposites have a completely amorphous structure. Also, the presence of rGO improved the final properties of the product. Full article
(This article belongs to the Section Nanocomposites)
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28 pages, 1713 KiB  
Article
Stability and Convergence Analysis of Compact Finite Difference Method for High-Dimensional Time-Fractional Diffusion Equations with High-Order Accuracy in Time
by Jun-Ying Cao, Jian-Qiang Fang, Zhong-Qing Wang and Zi-Qiang Wang
Fractal Fract. 2025, 9(8), 520; https://doi.org/10.3390/fractalfract9080520 - 8 Aug 2025
Abstract
Based on the spatial compact finite difference (SCFD) method, an improved high-order temporal accuracy scheme for high-dimensional time-fractional diffusion equations (TFDEs) is presented in this work. Combining the temporal piecewise quadratic interpolation and the high-dimensional SCFD method, the proposed numerical method is described. [...] Read more.
Based on the spatial compact finite difference (SCFD) method, an improved high-order temporal accuracy scheme for high-dimensional time-fractional diffusion equations (TFDEs) is presented in this work. Combining the temporal piecewise quadratic interpolation and the high-dimensional SCFD method, the proposed numerical method is described. In order to establish the stability and convergence analysis, we introduce a norm||·||H˜1,which is rigorously proved equivalent to the standard H1-norm. Considering that the coefficients of high-order numerical schemes are not entirely positive, we introduce an appropriate parameter to transform the numerical scheme into an equivalent form with positive coefficients. Based on the equivalent form, we prove that the temporal and spatial convergence orders are (3−γ) and 4 by applying the convergence of geometric progression. The proposed scheme ensures that the theoretical convergence accuracy at each time step is of order (3−γ) without requiring any additional processing techniques. Ultimately, the convergence of the proposed high-order accurate scheme is verified through numerical experiments involving (non-)linear high-dimensional TFDEs. Full article
(This article belongs to the Special Issue Recent Advances in the Spatial and Temporal Discretizations of Fractional PDEs, Second Edition)
26 pages, 7180 KiB  
Article
Mechanoelectrical Effects in Natural Fiber-Reinforced Polymers as Structural Health Monitoring
by Christoph Maier, Philipp Huber, Armin Wittmann, Klaus Peter Koch and Georg Fischer
J. Compos. Sci. 2025, 9(8), 430; https://doi.org/10.3390/jcs9080430 - 8 Aug 2025
Abstract
Natural fiber-reinforced polymers are gaining popularity as sustainable structural materials. However, their inherent variability can limit their reliability in load-bearing applications. To address this issue, we investigate a novel structural health monitoring method that leverages mechanoelectrical effects in flax fiber-reinforced epoxy composites. In [...] Read more.
Natural fiber-reinforced polymers are gaining popularity as sustainable structural materials. However, their inherent variability can limit their reliability in load-bearing applications. To address this issue, we investigate a novel structural health monitoring method that leverages mechanoelectrical effects in flax fiber-reinforced epoxy composites. In our study, a contactless capacitive coupled measurement setup records electrical polarization during fatigue testing at four load levels. The polarization signals we observed increased with increasing load levels. Additionally, changes in polarization correlate with changes in dynamic modulus, providing early indicators of potential failure. This work lays the foundation for a new type of structural health monitoring in natural fiber-reinforced polymers. Full article
(This article belongs to the Special Issue Lightweight Composites Materials: Sustainability and Applications, Volume II)
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