bluuebunny/crossref_metadata_2025 huggingface dataset:
An Efficient Petrov–Galerkin Scheme for the Euler–Bernoulli Beam Equation via Second-Kind Chebyshev Polynomials
Authors: Youssri Youssri Hassan , Abd-Elhameed Waleed Mohamed , Elmasry Amr Ahmed , Atta Ahmed Gamal
Published: January 2025

The current article introduces a Petrov–Galerkin method (PGM) to address the fourth-order uniform Euler–Bernoulli pinned–pinned beam equation. Utilizing a suitable combination of second-kind Chebyshev polynomials as a basis in spatial variables, the proposed method elegantly and simultaneously satisfies pinned–pinned and clamped–clamped boundary conditions. To make PGM application easier, explicit formulas for the inner product between these basis functions and their derivatives with second-kind Chebyshev polynomials are derived. This leads to a simplified system of algebraic equations with a recognizable pattern that facilitates effective inversion to produce an approximate spectral solution. Presentations are made regarding the method’s convergence analysis and the computational cost of matrix inversion. The efficiency of the method described in precisely solving the Euler–Bernoulli beam equation under different scenarios has been validated by numerical testing. Additionally, the procedure proposed in this paper is more effective compared to other existing techniques.
Genomic and Transcriptomic Approaches Advance the Diagnosis and Prognosis of Neurodegenerative Diseases
Authors: Liu Zheng , Song Si-Yuan
Published: January 2025

Neurodegenerative diseases, such as Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD), and amyotrophic lateral sclerosis (ALS), represent a growing societal challenge due to their irreversible progression and significant impact on patients, caregivers, and healthcare systems. Despite advances in clinical and imaging-based diagnostics, these diseases are often detected at advanced stages, limiting the effectiveness of therapeutic interventions. Recent breakthroughs in genomic and transcriptomic technologies, including whole-genome sequencing, single-cell RNA sequencing (scRNA-seq), and CRISPR-based screens, have revolutionized the field, offering new avenues for early diagnosis and personalized prognosis. Genomic approaches have elucidated disease-specific genetic risk factors and molecular pathways, while transcriptomic studies have identified stage-specific biomarkers that correlate with disease progression and severity. Furthermore, genome-wide association studies (GWAS), polygenic risk scores (PRS), and spatial transcriptomics are enabling the stratification of patients based on their risk profiles and prognostic trajectories. Advances in functional genomics have uncovered actionable targets, such as ATXN2 in ALS and TREM2 in AD, paving the way for tailored therapeutic strategies. Despite these achievements, challenges remain in translating genomic discoveries into clinical practice due to disease heterogeneity and the complexity of neurodegenerative pathophysiology. Future integration of genetic technologies holds promise for transforming diagnostic and prognostic paradigms, offering hope for improved patient outcomes and precision medicine approaches.
Characterization of Metabolites and Transcriptome of Pepper Accessions from Four Southern Provinces of China
Authors: Liu Zhuo , Yang Chuangchuang , He Jianwen , Zhang Lingkui , Xing Xiaolin , Zhang Kang , Yu Hailong , Zhang Zhenghai , Wu Huamao , Cheng Feng , Cao Yacong , Wang Lihao
Published: January 2025

Background/Objectives: Pepper (Capsicum annuum L.) is a widely grown vegetable and spice crop worldwide. This study aims to reveal the differences of metabolites among pepper accessions from different regions and explore candidate genes related to metabolites of pepper. Methods: The metabolome and transcriptome of 36 pepper accessions were determined by widely targeted metabolomics analysis and RNA sequencing technology, and the differential metabolites and differential genes among C. annuum from four important pepper production and consumption provinces of China, Hunan, Guizhou, Yunnan and Sichuan, were analyzed. Results: Flavonoids are the main characteristic metabolites that distinguish pepper accessions from Yun_Gui_Chuan Group and Hunan Group. The aglycones of characteristic flavonoids in each group are different; in Yun_Gui_Chuan Group mainly are luteolin, quercetin, chrysoeriol and isorhamnetin; in Hunan Group mainly are apigenin. Transcriptome data showed that two genes related to flavonoid 3′-monooxygenase differed significantly between the two groups of chili peppers, and we speculated that they may be the core enzymes regulating their flavonoid profile. And an SNP mutation located in gene Cgla06g001871 showed a strong correlation with pepper accessions from Yun_Gui_Chuan Group, which can be used as a DNA marker to identify pepper accessions from Yun_Gui_Chuan Group, and provide strong support for regional specialty variety conservation. In addition, we also analyzed the metabolites related to the taste and nutrition of pepper accessions in the four provinces, and the results showed that the sugar content of pepper accessions from Guizhou was low and the capsaicinoids content of pepper accessions from Sichuan was low, while no significant difference was found in acid and vitamin contents among pepper accessions from the four provinces. Conclusions: The metabolome and transcriptome of 36 pepper accessions from four important pepper production and consumption provinces of China were determined, and the characteristic metabolites and expressed genes of pepper accessions from each province were analyzed.
Genetic Variants of SLC22A1 rs628031 and rs622342 and Glycemic Control in T2DM Patients from Northern Mexico
Authors: Moreno-González Janette G. , Reza-López Sandra A. , González-Rodríguez Everardo , Siqueiros-Cendón Tania Samanta , Escareño Contreras Alfonso , Rascón-Cruz Quintín , Leal-Berumen Irene
Published: January 2025

Background: Type 2 diabetes mellitus (T2DM) and its associated complications are of public health concern. Metformin is the most common pharmacological T2DM treatment, distributed through organic cation transporters (OCTs). The solute transporter family 22A1 (SLC22A1) gene encodes OCT1, and its variants may play a role in glycemic control. This study analyzed seven SLC22A1 gene variants and their potential association with glycemic control in patients from Northern Mexico with T2DM undergoing metformin monotherapy. Methods: This cross-sectional study included 110 patients. We analyzed HbA1c values as a continuous variable and according to glycemic control categories (<7% vs. ≥7%). DNA from blood samples was genotyped using genotyping assays based on real-time PCR and PCR-RFLP. Results: Patients with GG or AA rs628031 genotypes were 2.7 times more likely to have inadequate glycemic control than those with the GA genotype (p = 0.042). We analyzed the combination of rs628031 and rs622342 as diplotypes. The relation between HbA1c and these diplotypes was influenced by BMI and the metformin dose. Carriers of at least one minor allele of A-rs628031 and C-rs622342 had lower HbA1c values than individuals homozygous for the major allele in both genes. Conclusions: The rs628031 and rs622342 variants are associated with lower HbA1c levels in T2DM patients. Larger studies are needed to confirm these associations.
Surveillance and Reporting of Hospital-Associated Infections—A Document Analysis of Romanian Healthcare Legislation Evolution over 20 Years
Authors: Coman Alexandru , Pop Dana , Muresan Flaviu , Oprescu Florin , Fjaagesund Shauna
Published: January 2025

Background/Objectives: The objective of this study is to evaluate the evolution of Romanian legislation related to HAIs. The evolution of healthcare-associated infections (HAIs)’s definitions and surveillance frameworks in Romania reflects progressive advancement in diagnostic criteria, reporting, and prevention. Recent changes emphasize the need for accurate and centralized electronic reporting, inclusion of medico-social and palliative care institutions, and modernized hospital infrastructure standards. However, workforce deficits, insufficient infrastructure, and punitive sanctions remain barriers to effective implementation. Methods: This study analyzed publicly available Romanian legislative texts and their evolution, comparing definitions, diagnostic criteria, and surveillance structures. Key informant insights supplemented findings to contextualize legislative impacts. Legislative acts were reviewed sequentially to identify updates in regulatory frameworks and barriers to effective HAI management. Results: The legislative evolution demonstrates a shift from basic diagnostic criteria to a comprehensive surveillance framework aligned with European standards. However, challenges persist, including workforce capacity deficits, under-reporting due to fear of sanctions, and infrastructure inadequacies. The prevalence of HAIs remains largely under-reported (4.1%), with studies revealing rates well below the European average (7.1%). Manual and isolated reporting systems further hinder real-time surveillance and accuracy. Legislative advancements in Romania reflect progress in HAI management but highlight systemic barriers that impede effective implementation. Conclusions: Collaborative efforts across individual, organizational, and system levels are required to address workforce training, reduce under-reporting, and invest in infrastructure and electronic reporting systems. Promoting a blame-free organizational culture, combined with training, is essential to encourage behavior of accurate reporting and improve HAI prevention strategies.
Psychiatric Home Hospitalization: The Role of Mental Health Nurses—A Scoping Review
Authors: Soares Marisa , Martins Vânia , Tomás Margarida , Sousa Luís , Nascimento Tiago , Costa Patrícia , Quaresma Graça , Lucas Pedro
Published: January 2025

The lack of evidence synthesis studies on the role of psychiatric mental health nursing in the context of psychiatric home hospitalization underscores the limited research on nurses providing care in these teams, particularly concerning their experiences and responsibilities and the actual role of nurses in this context. This knowledge has the potential to improve the quality of mental healthcare by guiding nursing practices. Objective: To map the concepts related to the role of mental health nurses in psychiatric home hospitalization. Methods: A scoping review was conducted using the methodology proposed by the JBI, involving five methodological stages. No search limits were applied except for language. Results: The review identified five key dimensions of nursing in psychiatric home hospitalization: satisfaction; care models; the therapeutic relationship; the care environment; the organization of care. These interconnected dimensions influence quality care. Satisfaction among nurses, patients, and families is associated with improved outcomes and reduced stigma. The therapeutic relationship is characterized by a humanistic approach, emphasizing dialogue, empathy, and shared decision making. Additionally, the importance of care organization is highlighted, including individualized care plans, medication management, and intersectoral collaboration. Discussion: The five nursing dimensions align with the Quality Standards of the Portuguese Nursing Council and are consistent with the scientific literature. Conclusions: Although there is a shortage of studies on this topic, this review allows for the synthesis of nursing interventions and reflection on the paradigm shift in care within the scope of psychiatric mental health nursing interventions. Future studies highlighting the value of mental health nursing interventions, with a particular focus on nursing-sensitive indicators and employing quantitative or mixed methods, will be crucial to furthering the analysis conducted thus far.
Depression, Anxiety, Resilience, and Family Functioning Among Different Age Groups During the COVID-19 Pandemic: A One-Year Longitudinal Study
Authors: Efstathiou Vasiliki , Papadopoulou Athanasia , Pomini Valeria , Chatzimichail Katerina , Michopoulos Ioannis , Vousoura Eleni , Stavrou Pilios-Dimitris , Kaparoudaki Adamantia , Papadopoulou Marianna , Smyrnis Nikolaos , Douzenis Athanasios , Gournellis Rossetos
Published: January 2025

Background/Objectives: The COVID-19 pandemic has profoundly disrupted mental health globally, affecting individuals across all age groups. Understanding its long-term impact is crucial for identifying age-specific vulnerabilities and informing targeted mental health interventions. This longitudinal study aimed to investigate the within-person changes in mental health across different age groups in Greece from the first to the third pandemic wave of coronavirus disease 2019 (COVID-19) (i.e., one year later) during nationwide lockdowns. It further compared the mental health outcomes of three distinct age groups, stratified based on their vulnerability to COVID-19—younger adults (18–29 years), adults (30–59 years), and older adults (60–84 years)—and examined correlates of depression and anxiety during the third pandemic wave. Methods: A total of 720 participants—92 younger adults, 543 adults, and 85 older adults—completed the same set of questionnaires during the first (April–May 2020) and third (March–May 2021) pandemic-related lockdowns. At both time points, participants provided data on the Generalized Anxiety Disorder-2, Patient Health Questionnaire-2, Systemic Clinical Outcome and Routine Evaluation-15, Connor–Davidson Resilience Scale-2, and demographic information. Results: Results indicated a within-individual increase in depression and a decrease in resilience for all participants, irrespective of age. Anxiety increased only among younger adults and adults, whereas family functioning remained stable across all age groups one year post-pandemic onset. Furthermore, younger adults reported higher levels of depression and anxiety, lower resilience, and more impaired family functioning compared to the older age groups in both lockdowns. Among the different age groups, factors independently associated with depression and anxiety were identified through stepwise regression analyses. Conclusions: The present study provides evidence for mental health deterioration during the pandemic across all age groups, with younger adults exhibiting heightened vulnerability.
Multi-Benefit Decision-Making Process for Historic Buildings: Validation of the CALECHE HUB Conceptual Model Through a Literature Review
Authors: Perret Noëlle-Laetitia , Héberlé Elodie , Perret Laure-Emmanuelle
Published: January 2025

The CALECHE project, fundSby Horizon Europe, is pioneering sustainable renovation practices for historic buildings that balance energy efficiency with heritage conservation. While this study primarily focuses on energy efficiency in the context of historic building renovation, it also considers aspects of holistic sustainability, such as the use of sustainable materials and adaptive reuse strategies. Through a comprehensive literature review, this study validates the CALECHE HUB conceptual model, emphasising multi-benefit decision-making processes. Key areas of focus includes the assessment of cultural and social values, economic benefits, and environmental sustainability. The analysis explores adaptive reuse strategies and decision support systems (DSSs) to harmonise heritage conservation with energy retrofitting. Using four European demonstration sites as a proof of concept, the findings highlight the need for holistic approaches that respect historic integrity while promoting contemporary functionality. The study underlines the urgency of bridging research gaps, particularly in the integration of new technologies and LCA, to ensure that historic buildings remain vibrant, sustainable, and socially inclusive assets for future generations.
Multi-View Three-Dimensional Reconstruction Based on Feature Enhancement and Weight Optimization Network
Authors: Yao Guobiao , Wang Ziheng , Wei Guozhong , Zhu Fengqi , Fu Qingqing , Yu Qian , Wei Min
Published: January 2025

Aiming to address the issue that existing multi-view stereo reconstruction methods have insufficient adaptability to the repetitive and weak textures in multi-view images, this paper proposes a three-dimensional (3D) reconstruction algorithm based on Feature Enhancement and Weight Optimization MVSNet (Abbreviated as FEWO-MVSNet). To obtain accurate and detailed global and local features, we first develop an adaptive feature enhancement approach to obtain multi-scale information from the images. Second, we introduce an attention mechanism and a spatial feature capture module to enable high-sensitivity detection for weak texture features. Third, based on the 3D convolutional neural network, the fine depth map for multi-view images can be predicted and the complete 3D model is subsequently reconstructed. Last, we evaluated the proposed FEWO-MVSNet through training and testing on the DTU, BlendedMVS, and Tanks and Temples datasets. The results demonstrate significant superiorities of our method for 3D reconstruction from multi-view images, with our method ranking first in accuracy and second in completeness when compared to the existing representative methods.
The Coordinated Development Characteristics of Rural Industry and Employment: A Case Study of Chongqing, China
Authors: Ge Guoqin , Huang Yong , Chen Qianting
Published: January 2025

Developing industries and promoting employment are essential for rural revitalization. This study establishes a theoretical framework to support the coordinated development of rural industry and employment (RIE) with Chongqing, China as the study area. Methods include GIS spatial analysis, the entropy-weighted TOPSIS method, a coupled coordination degree model, and an optimal-parameter-based GeoDetector. The analysis examines the spatio-temporal evolution and driving mechanisms of the coordinated development of RIE. The main findings are as follows. (1) During the study period, Chongqing’s RIE improved significantly overall, although rural industry is relatively lagging. (2) The evolution characteristics of the coordinated development of RIE exhibit “spatio-temporal ripple” and “spindle-shaped” patterns, and the spatial agglomeration has been enhanced. The growth of RIE is accompanied by the spatial diffusion of rural industry and the spatial echo of rural employment. (3) The primary driving mechanism for the coordinated development of RIE is “human-centered, natural resource-based socio-economic development.” Finally, this study discusses employment-centered strategies for rural industrial development, providing a theoretical foundation for policy-making in rural industrial development.
Phytochemical Analysis of the Extract from Berries of Schisandra chinensis Turcz. (Baill.) and Its Anti-Platelet Potential In Vitro
Authors: Sławińska Natalia , Kontek Bogdan , Żuchowski Jerzy , Moniuszko-Szajwaj Barbara , Białecki Jacek , Zakrzewski Kamil , Bogusz Paulina , Stochmal Anna , Olas Beata
Published: January 2025

Schisandra chinensis Turcz. (Baill.) is a dioecious vine belonging to the Schisandraceae family. Its berries show beneficial activities, including cardioprotective, antioxidant, and anti-inflammatory. We examined the chemical content of S. chinensis berry extract and its antiplatelet potential in vitro. The antiplatelet activity assays included measurements of thrombus formation in full blood (with Total Thrombus-formation Analysis System) and platelet activation and adhesion. We also assessed the extract’s effect on coagulation times in human plasma and its cytotoxicity toward blood platelets based on extracellular lactate dehydrogenase activity. The most important constituents of the extract were dibenzocyclooctadiene lignans; schisandrin was the dominant compound. S. chinensis berry extract at the concentration of 50 μg/mL inhibited thrombus formation by approximately 15%. The adhesion of unstimulated and thrombin-activated blood platelets to collagen was inhibited by all used concentrations of the extract (0.5–50 μg/mL), while the adhesion of adenosine diphosphate (ADP)-activated platelets to fibrinogen was inhibited only by the concentrations of 10 and 50 μg/mL. The extract also inhibited the exposition of the active form of GPIIb/IIIa on the surface of platelets stimulated with 10 μM ADP (at 0.5–50 μg/mL) and 20 μM ADP (at 50 μg/mL). The exposition of P-selectin was inhibited only by the extract at the concentrations of 5–50 μg/mL in platelets stimulated with 10 μg/mL collagen. Moreover, the extract was not cytotoxic toward blood platelets. This indicates that S. chinensis berries hold promise as new antiplatelet agents, but more studies are needed to determine their mechanisms of action and in vivo efficiency.
Exploring the Link Between Telomeres and Mitochondria: Mechanisms and Implications in Different Cell Types
Authors: Assalve Graziana , Lunetti Paola , Rocca Maria Santa , Cosci Ilaria , Di Nisio Andrea , Ferlin Alberto , Zara Vincenzo , Ferramosca Alessandra
Published: January 2025

Telomeres protect chromosome ends from damage, but they shorten with each cell division due to the limitations of DNA replication and are further affected by oxidative stress. This shortening is a key feature of aging, and telomerase, an enzyme that extends telomeres, helps mitigate this process. Aging is also associated with mitochondrial dysfunction, leading to increased reactive oxygen species (ROS) that exacerbate cellular damage and promote apoptosis. Elevated ROS levels can damage telomeres by oxidizing guanine and disrupting their regulation. Conversely, telomere damage impacts mitochondrial function, and activation of telomerase has been shown to reverse this decline. A critical link between telomere shortening and mitochondrial dysfunction is the DNA damage response, which activates the tumor suppressor protein p53, resulting in reduced mitochondrial biogenesis and metabolic disruptions. This highlights the bidirectional relationship between telomere maintenance and mitochondrial function. This review explores the complex interactions between telomeres and mitochondria across various cell types, from fibroblasts to sperm cells, shedding light on the interconnected mechanisms underlying aging and cellular function.
Optimizing Therapeutics for Intratumoral Cancer Treatments: Antiproliferative Vanadium Complexes in Glioblastoma
Authors: Bates Andrew C. , Klugh Kameron L. , Galaeva Anna O. , Patch Raley A. , Manganaro John F. , Markham Skyler A. , Scurek Emma , Levina Aviva , Lay Peter A. , Crans Debbie C.
Published: January 2025

Glioblastoma, an aggressive cancer, is difficult to treat due to its location, late detection, drug resistance, and poor absorption of chemotherapeutics. Intratumoral drug administration offers a promising potential treatment alternative with localized delivery and minimal systemic toxicity. Vanadium(V) coordination complexes, incorporating Schiff base and catecholate ligands, have shown effects as antiproliferative agents with tunable efficacy and reactivity, stability, steric bulk, hydrophobicity, uptake, and toxicity optimized for the intratumoral administration vehicle. A new series of oxovanadium(V) Schiff base–catecholate complexes were synthesized and characterized using nuclear magnetic resonance (NMR), UV-Vis, and infrared spectroscopy and mass spectrometry. Stability under physiological conditions was assessed via UV-Vis spectroscopy, and the antiproliferative activity was evaluated in T98G glioblastoma and SVG p12 normal glial cells using viability assays. The newly synthesized [VO(3-tBuHSHED)(TIPCAT)] complex was more stable (t1/2 ~4.5 h) and had strong antiproliferative activity (IC50 ~1.5 µM), comparing favorably with the current lead compound, [VO(HSHED)(DTB)]. The structural modifications enhanced stability, hydrophobicity, and steric bulk through substitution with iso-propyl and tert-butyl groups. The improved properties were attributed to steric hindrance associated with the new Schiff base and catecholato ligands, as well as the formation of non-toxic byproducts upon degradation. The [VO(3-tBuHSHED)(TIPCAT)] complex emerges as a promising candidate for glioblastoma therapy by demonstrating enhanced stability and a greater selectivity, which highlights the role of strategic ligand design in developing localized therapies for the treatment of resistant cancers. In reporting the new class of compounds effective against T98G glioblastoma cells, we describe the generally desirable properties that potential drugs being developed for intratumoral administration should have.
Unveiling the Synergistic Effect of Salicylic Acid on Triterpenoid Biosynthesis in Athelia termitophila: Elucidating the Molecular Underpinnings
Authors: Hu Fangcheng , Fang Yonggang , Khan Zahid , Xing Lianxi
Published: January 2025

This study investigates the dual role of salicylic acid (SA) in enhancing the production of triterpenes and elucidates its molecular regulatory mechanisms in the fungus Athelia termitophila (TMB), a rich source of bioactive triterpenoids vital to the cosmetics and pharmaceutical industries. Our innovative approach involves the strategic application of SA during the mycelial growth phase, leading to a remarkable 21.87% increase in triterpene yield under optimized conditions of 200 μmol/L SA over 9 days. Pioneering in its methodology, our research employs Spearman correlation analysis to dissect the intricate relationship between triterpene content and gene expression within the mevalonate (MVA) pathway of A. termitophila. This analysis has identified four key genes—Acetyl-Coa Acetyltransferase (AACT), Squalene Epoxidase (SE), Phosphomevalonate Kinase (PMK), and Mevalonate Diphosphate Decarboxylase (MVD)—that are important for triterpene synthesis, providing new insights into the biosynthetic capabilities of A. termitophila. Furthermore, our application of cluster analysis has unveiled unprecedented expression patterns among critical genes, at specific growth intervals. This novel insight into the temporal dynamics of gene transcription during triterpene synthesis provides a comprehensive view of the biosynthetic process, setting the stage for targeted enhancement of triterpene production in A. termitophila. This investigation not only highlights TMB’s potential as a biotechnological source of triterpenes but also provides critical insights into the underlying molecular pathways responsible for triterpene synthesis.
PCSK9 Expression in Vascular Smooth Muscle Cells: Role of Insulin Resistance and High Glucose
Authors: Barale Cristina , Tempesta Giulia , Melchionda Elena , Morotti Alessandro , Frascaroli Chiara , Danzero Alice Costanza , Femminò Saveria , Penna Claudia , Russo Isabella
Published: January 2025

Beyond the regulation of cholesterol metabolism, a number of extrahepatic functions of proprotein convertase subtilisin/kexin type 9 (PCSK9) have been increasingly identified. The main purpose of this study was to verify whether PCSK9 expression in vascular smooth muscle cells (VSMC) is influenced by insulin resistance and high glucose (HG). In cultured rat aortic VSMC from lean insulin-sensitive Zucker rats (LZRs) and obese insulin-resistant Zucker rats (OZRs), a classical animal model of insulin resistance, we evaluated PCSK9 expression with or without the monoclonal antibodies against PCSK9 Alirocumab and Evolocumab or the synthetic PCSK9-binding peptide PEP 2-8. Effects and molecular mechanisms underlying altered PCSK9 expression were evaluated by proliferation and migration assay, reactive oxygen species (ROS) production, and involvement of PKC, NADPH-oxidase, MAPK/ERK-1/2 pathway activation. As a result, we found that, in comparison with LZR, VSMC from OZR showed basal PCSK9 overexpression mitigated by Alirocumab, Evolocumab, PEP 2-8, and the inhibitors of PKC, NADPH-oxidase, and MAPK. The finding of PCSK9 upregulation in VSMC from OZR paralleled with increased ROS production, proliferation, and migration. HG increased PCSK9 expression in VSMC from LZR, but not in OZR, via oxidative stress and with effects reduced by PCSK9 inhibitors. These findings suggest that a dysregulation of PCSK9 in VSMC could be involved in vascular damage in metabolic disorders, such as obesity and diabetes.
Fibrosis and Src Signalling in Glaucoma: From Molecular Pathways to Therapeutic Prospects
Authors: Bourke Liam , O’Brien Colm
Published: January 2025

Glaucoma, a leading cause of irreversible blindness, is characterised by progressive optic nerve damage, with elevated intraocular pressure (IOP) and extracellular matrix (ECM) remodelling in the lamina cribrosa (LC) contributing to its pathophysiology. While current treatments focus on IOP reduction, they fail to address the underlying fibrotic changes that perpetuate neurodegeneration. The Src proto-oncogene, a non-receptor tyrosine kinase, has emerged as a key regulator of cellular processes, including fibroblast activation, ECM deposition, and metabolism, making it a promising target for glaucoma therapy. Beyond its well-established roles in cancer and fibrosis, Src influences pathways critical to trabecular meshwork function, aqueous humour outflow, and neurodegeneration. However, the complexity of Src signalling networks remains a challenge, necessitating further investigation into the role of Src in glaucoma pathogenesis. This paper explores the therapeutic potential of Src inhibition to mitigate fibrotic remodelling and elevated IOP in glaucoma, offering a novel approach to halting disease progression.
Verification of Immune Debts in Children Caused by the COVID-19 Pandemic from an Epidemiological and Clinical Perspective
Authors: Nagasawa Masayuki
Published: January 2025

Social behavior restrictions, social distancing, and promotion of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic have significantly reduced the incidence of many epidemic infections in the world, especially in children. Resurges of infectious diseases vary depending on the biological characteristics of each infectious pathogen and differences in culture, lifestyle, and infection control mitigation policies by country or region. Although the gapping of infectious disease outbreaks can cause children who were uninfected during that period to become more susceptible to infection after the pandemic, resulting in a slightly older age of infected children, there are no conclusive reports that suggest a definite impact on the development of children’s immune maturation or its balance. Insufficient immune challenges in early life may influence the risk of developing immune-mediated conditions such as allergies or autoimmune diseases later in life, though evidence for this is still emerging. Future observational studies are needed to determine the long-term impact of the epidemic gap caused by the COVID-19 pandemic as well as the long-term impact of COVID-19 infection itself on the immune function or balance of children.
Evaluation of Bacterial Communities of Listronotus maculicollis Kirby Reared on Primary and Secondary Host Plants
Authors: Price Garrett , Simard Audrey , McGraw Benjamin A.
Published: January 2025

The annual bluegrass weevil (Listronotus maculicollis Kirby) is a devastating insect pest of annual bluegrass (Poa annua L.) and, to a lesser extent, creeping bentgrass (Agrostis stolonifera L.) on golf courses. Listronotus maculicollis-reared A. stolonifera, a comparatively tolerant host, incurs fitness costs, including longer developmental periods and reduced larval survivorship. This study sought to characterize microbiota diversity in L. maculicollis adults and larvae reared on P. annua and A. stolonifera cultivars (Penncross & A4) to explore whether intrinsic factors, such as microbial community composition, vary across host plants and developmental stages, potentially influencing host suitability. Alpha diversity analyses showed adults feeding on A4 exhibited higher bacterial species richness than their offspring reared on the same cultivar. Beta diversity analysis revealed significant dissimilarities between L. maculicollis adults and offspring regardless of host. Pseudomonas sp. was consistently abundant in larvae across all turfgrasses, indicating a potential association with larval development. Elevated levels of Wolbachia sp., known for insect reproductive manipulation, were observed in adults, but appear to be unrelated to host plant effects. The most prevalent bacterium detected was Candidatus Nardonella, a conserved endosymbiont essential for cuticular hardening in weevils. Given the role of cuticular integrity in insecticide resistance, further investigations into insect–microbe–plant interactions could guide the development of targeted pest management strategies, reducing resistance and improving control measures for L. maculicollis.
Cardiovascular Outcomes in Hospitalized Patients with COVID-19: Does Age Really Matter?
Authors: Sotomayor-Julio Alex , Escalante Manuela , Rodas-Cortes Yorlany , Arteaga-Tobar Andrea Alejandra , Valencia Andrea , Wyss Fernando , Correa Roger Martín , Oliver Paola , Galindo Wilbert Yabar , Mercedes Jessica , Christen Alejandra Inés , Criollo Iván , Brunialti Juan Martin , Montenegro Carlos Eduardo , Schwartzmann Pedro , Castillo Eglee , Chong Freddy Pow , Almonte Claudia , Herrera Cesar , Gomez-Mesa Juan Esteban
Published: January 2025

Background: An advanced age elevates risk for COVID-19-related cardiovascular complications and mortality. This study analyzes cardiovascular comorbidities and outcomes in hospitalized COVID-19 patients across age groups to assess its impact. Methods: The CARDIO COVID 19-20 registry is a prospective, multicenter cohort study of hospitalized SARS-CoV-2 patients across 44 institutions in 14 Latin American countries. Patients were categorized into four age groups, Group 1: under 40 years, Group 2: 40 to 64 years, Group 3: 65 to 79 years, and Group 4: 80 years or older. Results: A total of 3260 patients were included. A total of 36.8% were women, and key comorbidities included overweight/obesity (49.7% [G1: 48.9%, G2: 56.3%, G3: 45.6%, G4: 32.7%]), and hypertension (49% [G1: 11.3%, G2: 40.3%, G3: 67.9%, G4: 80.4%]). Primary cardiovascular complications during hospitalization were arrhythmias (9.1% [G1: 3.4%, G2: 6.1%, G3: 14.9%, G4: 12.9%]), and acute heart failure (8.5% [G1: 3.6%, G2: 6.1%, G3: 12.1%, and G4: 15.2%]). In our cohort, 53.5% of the patients were admitted to the intensive care unit (G1: 49.2%, G2: 57%, G3: 55.3%, G4: 38.3%). In-hospital mortality rose significantly in patients aged 65 and older; G3: 334 (34.7%) and G4: 156 (45.6%) (p value: <0.001). Conclusions: In Latin American COVID-19 patients, older age correlates with more comorbidities, cardiovascular complications, and higher in-hospital and 30-day mortality, indicating age as an independent mortality factor.
Comment on Fogliazza et al. Approaches to Pediatric Chest Pain: A Narrative Review. J. Clin. Med. 2024, 13, 6659
Authors: Cotrim Carlos , Cotrim Nuno
Published: January 2025

We read with interest the excellent review manuscript of Frederica Fogliazza et al [...]
Predicting Early Atrial Fibrillation Recurrence Post-Electrical Cardioversion: A Critical Look at Bilateral Atrial Function
Authors: Anastasio Fabio , Pastorini Guido , Pucci Giacomo , Gonella Alessandro , Tardivo Valentina , Feola Mauro
Published: January 2025

Background/Objectives: The recurrence rate of atrial fibrillation (AF) after electrical cardioversion (ECV) appears to correlate with morpho-functional changes in both the left (LA) and right atria (RA). The present study focuses on identifying predictors for AF recurrence post-ECV. Methods: Sixty-one patients were included in the study following an elective ECV with a successful conversion to SR, and were subjected to cardiovascular assessment immediately after ECV. Results: At 6-month follow-up, 24 patients (39.3%) experienced AF recurrence. Patients without AF recurrence showed a lower right atrial valvular index (RAVi) (32 ± 8 vs. 40 ± 10 mL/m2, p = 0.03), a higher LA strain S-R (15.8 ± 7.7 vs. 9.0 ± 4.2%, p = 0.003), and more pronounced lateral a’ wave (5 ± 3 vs. 3 ± 1 m/s, p = 0.01), tricuspid a’ wave (7 ± 3 vs. 4 ± 2 m/s, p = 0.02), average a’ wave (6 ± 2 vs. 3 ± 1, p = 0.005), and augmentation index corrected for 75 beats per minute (Aix75) (26 ± 13 vs. 37 ± 12, p = 0.01). Based on these results, patients were assigned one point for each of the following criteria: RAVi > 36 mL/m2, average a’ wave > 4, LA strain S-R > 13%. The ROC curve analysis showed that a score of 3 had an AUC for AF recurrence of 0.81 (p < 0.001, CI 0.69–0.91), with a sensitivity of 96% and a specificity of 62%. Conclusions: LA strain, TDI Doppler, RAVi, and Aix75 measured immediately post-ECV were independent predictors of AF recurrence after ECV.
Revascularization of Chronic Total Occlusions vs. Planned Complex Percutaneous Coronary Intervention: Long-Term Outcomes and Mortality
Authors: Almendarez Marcel , Alperi Alberto , Pascual Isaac , Alvarez-Velasco Rut , Lorca Rebeca , Hernández-Vaquero Daniel , Betanzos José Luis , Ortiz de Zarate Juan Francisco , Ptaszynski Raul , Antuña Paula , Arboine Luis , Avanzas Pablo
Published: January 2025

Introduction: The number of chronic total occlusion (CTO) revascularization procedures has continuously increased, obtaining better results in recent years. However, there are few data regarding long-term outcomes and no comparisons to planned complex non-CTO percutaneous coronary intervention (PCI). Methods: We included all patients undergoing planned complex PCI. Our main objective was to compare a combined endpoint of all-cause death, myocardial infarction, and target vessel revascularization at the long-term follow-up of CTO PCI versus planned complex non-CTO PCI. We compared the groups using multivariable Cox regression and performed a propensity score matching analysis to control the baseline characteristics. We repeated the analysis for the separate components of the primary endpoint. Results: From January 2018 to June 2023, 1394 complex coronary PCIs were performed at our center. After excluding 393 non-planned cases, 201 CTO PCIs and 800 non-CTO PCIs were included. The mean follow-up was 2.5 ± 1.5 years. The composite endpoint occurred in 23 (11.6%) CTO PCIs and 219 (28.2%) planned non-CTO PCIs. The multivariable Cox regression using the CTO group as the reference showed a lower risk for the primary outcome (HR: 0.59; 95% CI 0.37–0.95; p = 0.031). After matching, a total of 195 adequately balanced pairs were obtained. The CTO group presented a lower risk for the primary combined outcome (HR: 0.46; 95% CI 0.27–0.76; p = 0.003). Conclusions: In patients undergoing planned complex PCI, those in the CTO group presented a reduced risk of all-cause death, myocardial infarction, and target vessel revascularization at the end of the follow-up.
Incidence of Venous Thromboembolism and Its Associated Risk Factors in Newly Diagnosed Multiple Myeloma Patients in the Klang Valley, Malaysia
Authors: Abdul Aziz Nurul Izzati , Palaniappan Sivakumar , Kamal Rodin Nor Saaidah , Chong Guang Yong , Jerome Tan Tsen Chuen , Aizuddin Azimatun Noor , Tumian Nor Rafeah
Published: January 2025

Background: Venous thromboembolism (VTE) is a potentially severe medical problem among multiple myeloma (MM) patients, with evolving treatment regimens potentially increasing the thrombotic risk. Data on VTE incidence and risk factors in multiethnic Malaysian MM patients are limited. This study aimed to assess VTE incidence and risk factors in newly diagnosed MM (NDMM) patients at two tertiary centres in Klang Valley, Malaysia. Methods: This retrospective cohort study included NDMM patients, aged ≥18, diagnosed between January 2015 and December 2022 at Hospital Canselor Tuanku Muhriz and Hospital Ampang. Patient demographics, clinical characteristics, MM therapies, and thromboprophylaxis data were analysed. VTE is defined as deep vein thrombosis (DVT) or pulmonary embolism (PE), confirmed by imaging. Results: Among the 216 NDMM patients (mean age: 62.4 ± 10.6 years), 22 (10.2%) developed VTE (15 DVT, five PE, and two both). The median time from MM diagnosis to VTE was 3.5 months (IQR 5.3). A univariate analysis identified the female sex, an ECOG performance status ≥ 2, diabetes mellitus, a recent orthopaedic surgery (<6 months), a SAVED score ≥ 2, and an IMPEDE-VTE score > 3 as significant risk factors. In the multivariable logistic regression, the female sex (aOR 8.56, 95% CI: 1.95–37.48), an ECOG status ≥ 2 (aOR 12.74, 95% CI: 3.37–48.17), and a recent orthopaedic surgery (aOR 21.79, 95% CI: 3.10–153.38) were the independent risk factors of VTE among NDMM patients. Conclusions: VTE incidence in our NDMM cohort was 10.2%. Independent risk factors included the female sex, a poor performance status, and a recent orthopaedic surgery. Individualised thromboprophylaxis strategies are crucial, warranting further real-world studies to optimise anticoagulation regimens.
Preservation Strategies for Interfacial Integrity in Restorative Dentistry: A Non-Comprehensive Literature Review
Authors: Pfeifer Carmem S. , Lucena Fernanda S. , Tsuzuki Fernanda M.
Published: January 2025

The preservation of interfacial integrity in esthetic dental restorations remains a critical challenge, with hybrid layer degradation being a primary factor in restoration failure. This degradation is driven by a combination of host-derived enzymatic activity, including matrix metalloproteinases (MMPs), bacterial proteases, and hydrolytic breakdown of the polymerized adhesive due to moisture exposure. This review examines the multifactorial mechanisms underlying hybrid layer degradation and presents current advancements in restorative materials aimed at counteracting these effects. Principal strategies include collagen preservation through the inhibition of enzymatic activity, the integration of antimicrobial agents to limit biofilm formation, and the use of ester-free, hydrolysis-resistant polymeric systems. Recent research highlights acrylamide-based adhesives, which exhibit enhanced resistance to acidic and enzymatic environments, as well as dual functionality in collagen stabilization. Furthermore, innovations in bioactive resins and self-healing materials present promising future directions for developing adhesives that actively contribute to long-term restoration stability. These findings underscore the importance of continuous advancements in adhesive technology to enhance the durability and clinical performance of dental restorations.
Effect of Six Weeks of Training with Wearable Resistance Attached to the Forearm on Throwing Kinematics, Strength, and Velocity in Female Handball Players
Authors: Fredriksen Andrea Bao , van den Tillaar Roland
Published: January 2025

Background: The aim of the study was to investigate the effect of six weeks of training with wearable resistance attached to the forearm on throwing kinematics, strength, and velocity in experienced female handball players. Methods: Twenty-five female handball players (mean age: 24.7 ± 3.8 y, mass: 72.1 ± 17.6 kg, height: 1.69 ± 0.06 m, and training experience: 14.3 ± 4.9 y) participated and were divided into an experimental group (n = 14) or a control group (n = 11). Both groups participated in the same handball sessions, but the experimental group trained with wearable resistance attached to the forearm during the training sessions. Before and after a training period of six weeks, throwing velocity, strength, and kinematics were tested. Results: The throwing velocity was significantly increased in the experimental group but not in the control group (p = 0.006). Only a few significant kinematic changes were observed, mostly around ball release, in which both groups had increased elbow flexion. The experimental group had a larger shoulder flexion at ball release and a more flexed wrist (p ≤ 0.04). Meanwhile, the control group had a lower shoulder abduction after the training period (p ≤ 0.023). No significant effects were found in the maximal angular velocities, timing of joint angles, angular velocities and in the strength test (p > 0.075). Conclusions: Based on the findings in this present study, it was concluded that training with wearable resistance attached to the forearm increases throwing velocity during the competition season compared to normal throwing training, which was probably caused by the changes in maximal elbow angle and extension velocity and the more flexed wrist at ball release.
Design of an Optimal Convolutional Neural Network Architecture for MRI Brain Tumor Classification by Exploiting Particle Swarm Optimization
Authors: El Amoury Sofia , Smili Youssef , Fakhri Youssef
Published: January 2025

The classification of brain tumors using MRI scans is critical for accurate diagnosis and effective treatment planning, though it poses significant challenges due to the complex and varied characteristics of tumors, including irregular shapes, diverse sizes, and subtle textural differences. Traditional convolutional neural network (CNN) models, whether handcrafted or pretrained, frequently fall short in capturing these intricate details comprehensively. To address this complexity, an automated approach employing Particle Swarm Optimization (PSO) has been applied to create a CNN architecture specifically adapted for MRI-based brain tumor classification. PSO systematically searches for an optimal configuration of architectural parameters—such as the types and numbers of layers, filter quantities and sizes, and neuron numbers in fully connected layers—with the objective of enhancing classification accuracy. This performance-driven method avoids the inefficiencies of manual design and iterative trial and error. Experimental results indicate that the PSO-optimized CNN achieves a classification accuracy of 99.19%, demonstrating significant potential for improving diagnostic precision in complex medical imaging applications and underscoring the value of automated architecture search in advancing critical healthcare technology.
GCNet: A Deep Learning Framework for Enhanced Grape Cluster Segmentation and Yield Estimation Incorporating Occluded Grape Detection with a Correction Factor for Indoor Experimentation
Authors: Quiñones Rubi , Banu Syeda Mariah , Gultepe Eren
Published: January 2025

Object segmentation algorithms have heavily relied on deep learning techniques to estimate the count of grapes which is a strong indicator for the yield success of grapes. The issue with using object segmentation algorithms for grape analytics is that they are limited to counting only the visible grapes, thus omitting hidden grapes, which affect the true estimate of grape yield. Many grapes are occluded because of either the compactness of the grape bunch cluster or due to canopy interference. This introduces the need for models to be able to estimate the unseen berries to give a more accurate estimate of the grape yield by improving grape cluster segmentation. We propose the Grape Counting Network (GCNet), a novel framework for grape cluster segmentation, integrating deep learning techniques with correction factors to address challenges in indoor yield estimation. GCNet incorporates occlusion adjustments, enhancing segmentation accuracy even under conditions of foliage and cluster compactness, and setting new standards in agricultural indoor imaging analysis. This approach improves yield estimation accuracy, achieving a R² of 0.96 and reducing mean absolute error (MAE) by 10% compared to previous methods. We also propose a new dataset called GrapeSet which contains visible imagery of grape clusters imaged indoors, along with their ground truth mask, total grape count, and weight in grams. The proposed framework aims to encourage future research in determining which features of grapes can be leveraged to estimate the correct grape yield count, equip grape harvesters with the knowledge of early yield estimation, and produce accurate results in object segmentation algorithms for grape analytics.