bluuebunny/crossref_metadata_2025 huggingface dataset:
Single Nuclei Transcriptomics Reveals Obesity-Induced Endothelial and Neurovascular Dysfunction: Implications for Cognitive Decline
Authors: Milenkovic Dragan , Nuthikattu Saivageethi , Norman Jennifer E. , Villablanca Amparo C.
Published: October 2024

Obesity confers risk for cardiovascular disease and vascular dementia. However, genomic alterations modulated by obesity in endothelial cells in the brain and their relationship to other neurovascular unit (NVU) cells are unknown. We performed single nuclei RNA sequencing (snRNAseq) of the NVU (endothelial cells, astrocytes, microglia, and neurons) from the hippocampus of obese (ob/ob) and wild-type (WT) male mice to characterize obesity-induced transcriptomic changes in a key brain memory center and assessed blood–brain barrier permeability (BBB) by gadolinium-enhanced magnetic resonance imaging (MRI). Ob/ob mice displayed obesity, hyperinsulinemia, and impaired glucose tolerance. snRNAseq profiled 14 distinct cell types and 32 clusters within the hippocampus of ob/ob and WT mice and uncovered differentially expressed genes (DEGs) in all NVU cell types, namely, 4462 in neurons, 1386 in astrocytes, 125 in endothelial cells, and 154 in microglia. Gene ontology analysis identified important biological processes such as angiogenesis in endothelial cells and synaptic trafficking in neurons. Cellular pathway analysis included focal adhesion and insulin signaling, which were common to all NVU cell types. Correlation analysis revealed significant positive correlations between endothelial cells and other NVU cell types. Differentially expressed long non-coding RNAs (lncRNAs) were observed in cells of the NVU-affecting pathways such as TNF and mTOR. BBB permeability showed a trend toward increased signal intensity in ob/ob mice. Taken together, our study provides in-depth insight into the molecular mechanisms underlying cognitive dysfunction in obesity and may have implications for therapeutic gene targeting.
Molecular Biomarkers in Prediction of High-Grade Transformation and Outcome in Patients with Follicular Lymphoma: A Comprehensive Systemic Review
Authors: Enemark Marie Hairing , Hemmingsen Jonas Klejs , Jensen Maja Lund , Kridel Robert , Ludvigsen Maja
Published: October 2024

Follicular lymphoma (FL) is the most prevalent indolent B-cell lymphoma entity, often characterized by the t(14;18) BCL2-IGH translocation. The malignancy represents a clinically and biologically highly heterogeneous disease. Most patients have favorable prognoses; however, despite therapeutic advancements, the disease remains incurable, with recurrent relapses or early disease progression. Moreover, transformation to an aggressive histology, most often diffuse large-B-cell lymphoma, remains a critical event in the disease course, which is associated with poor outcomes. Understanding the individual patient’s risk of transformation remains challenging, which has motivated much research on novel biomarkers within the past four decades. This review systematically assessed the research on molecular biomarkers in FL transformation and outcome. Following the PRISMA guidelines for systemic reviews, the PubMed database was searched for English articles published from January 1984 through September 2024, yielding 6769 results. The identified publications were carefully screened and reviewed, of which 283 original papers met the inclusion criteria. The included studies focused on investigating molecular biomarkers as predictors of transformation or as prognostic markers of time-related endpoints (survival, progression, etc.). The effects of each biomarker were categorized based on their impact on prognosis or risk of transformation as none, favorable, or inferior. The biomarkers included genetic abnormalities, gene expression, microRNAs, markers of B cells/FL tumor cells, markers of the tumor microenvironment, and soluble biomarkers. This comprehensive review provides an overview of the research conducted in the past four decades, underscoring the persistent challenge in risk anticipation of FL patients.
The Implications of Aging on Vascular Health
Authors: Ahmed Bulbul , Rahman Ahmed A. , Lee Sujin , Malhotra Rajeev
Published: October 2024

Vascular aging encompasses structural and functional changes in the vasculature, significantly contributing to cardiovascular diseases, which are the leading cause of death globally. The incidence and prevalence of these diseases increase with age, with most morbidity and mortality attributed to myocardial infarction and stroke. Diagnosing and intervening in vascular aging while understanding the mechanisms behind age-induced vascular phenotypic and pathophysiological alterations offers the potential for delaying and preventing cardiovascular mortality in an aging population. This review delves into various aspects of vascular aging by examining age-related changes in arterial health at the cellular level, including endothelial dysfunction, cellular senescence, and vascular smooth muscle cell transdifferentiation, as well as at the structural level, including arterial stiffness and changes in wall thickness and diameter. We also explore aging-related changes in perivascular adipose tissue deposition, arterial collateralization, and calcification, providing insights into the physiological and pathological implications. Overall, aging induces phenotypic changes that augment the vascular system’s susceptibility to disease, even in the absence of traditional risk factors, such as hypertension, diabetes, obesity, and smoking. Overall, age-related modifications in cellular phenotype and molecular homeostasis increase the vulnerability of the arterial vasculature to structural and functional alterations, thereby accelerating cardiovascular risk. Increasing our understanding of these modifications is crucial for success in delaying or preventing cardiovascular diseases. Non-invasive techniques, such as measuring carotid intima-media thickness, pulse wave velocity, and flow-mediated dilation, as well as detecting vascular calcifications, can be used for the early detection of vascular aging. Targeting specific pathological mechanisms, such as cellular senescence and enhancing angiogenesis, holds promise for innovative therapeutic approaches.
Adaptability of the Soybean Aphid Aphis glycines (Hemiptera: Aphididae) to Temperature and Photoperiod in a Laboratory Experiment
Authors: Gao Bo , Yang Kaice , Tian Yifan , Bai Bing , Tian Zhenqi , Liu Jian
Published: October 2024

The soybean aphid, Aphis glycines Matsumura, 1917, is a crucial soybean pest. Cultivated soybean, Glycine max (Carl von Linné) Elmer Drew Merrill, 1917, and wild soybean, Glycine soja Philipp Franz von Siebold & Joseph Gerhard Zuccarini, 1843, are summer hosts of A. glycines. In this study, the development, reproduction, and morphogenesis of A. glycines fed wild soybean (AgFW) were studied at different temperatures and photoperiods. The data were compared with that of A. glycines fed soybean (AgFS). At 20–29 °C, the adult lifespan of the first–third-generation AgFW was shorter than or equal to that of AgFS. Significant differences existed in the adult fecundity and intrinsic rate of increase between AgFW and AgFS. At a 10L:14D h photoperiod, males of AgFW were deposited earlier than, or as early as, males of AgFS. At 17 °C, the gynoparae of AgFW were deposited in proportions greater than or equal to those of AgFS. Based on these results, we concluded that the adaptability of AgFW and AgFS to temperature and photoperiod significantly differs. It is important to understand the life cycle of A. glycines in Harbin, northeast China, and formulate an integrated pest management strategy for A. glycines in the region.
Ageism Through the Informational Practices During Health Crisis: A Qualitative Study Among Older Adults in Quebec (Canada)
Authors: Guzun Nicolai , Tourigny André , Dubé Eve , Coutant Alexandre , Vivion Maryline
Published: October 2024

This study explores the health-information-seeking practices of older adults. Conducted in Quebec, Canada, this qualitative research involved semi-structured interviews with 36 participants aged 60 and over, between 19 July and 20 August 2021, during the COVID-19 pandemic. The interviews, carried out via online platforms and telephone, focused on information sources, the method of information retrieval, and participants’ reflections on and use of pandemic-related information. Thematic content analysis was used to identify the presence of ageism. The study showed that participants favored government press conferences and traditional media, while remaining skeptical of social media. The analysis identified the concept of ageism (institutional, interpersonal, and self-directed) in about half of the interviews, with institutional ageism predominating in communications and actions of authorities and in the portrayal of older adults by media. The findings highlight the need for reliable, respectful communications reaching older adults for effective and relevant public health messages.
The Panflute Technique: Novel 3D-Printed Patient Specific Instrumentation to Guide Curved Intra-Articular Osteotomies for Tibial Plateau Malunions
Authors: Assink Nick , Binnekamp Cornelia W. , van der Veen Hugo C. , Doornberg Job N. , IJpma Frank F. A. , Pijpker Peter A. J.
Published: October 2024

Background/Objectives: 3D patient-specific corrective osteotomies are optimized for use with oscillating saws, thereby rendering it incapable of executing curved osteotomies. The aim of this technical note is to introduce and evaluate the Panflute technique, which facilitates curved osteotomies with precise depth control for intra-articular corrective osteotomies in posttraumatic tibial plateau malunions. Methods: A 33-year-old male patient with an intra-articular malunion was treated one year after index surgery of a lateral split-depression tibial plateau fracture with the Panflute technique. The guide design allowed for multiple drill trajectories in a curved path, recreating the original fracture lines. Cylindrical drill tubes in the guide were tailored to match bone trajectory length. This resulted in a patient-specific Panflute-like design enabling precise depth control, safeguarding posterior neurovascular structures. Secondly, the recreated fragment was reduced with a reduction guide, applied to the plate in situ, to facilitate reposition using the plate as tool and reference. Results: The procedure went without technical drawbacks or surgical complications. Postoperative assessment showed that repositioning of the osteotomized articular fragment was performed accurately: pre- to postoperative translational corrections were 5.4 to 0.5 mm posterior displacement for AP deformity (x-axis); 2.9 to 1.0 mm lateral to medial reduction (y-axis); and 5.9 to 0.6 mm cranial-caudal correction (z-axis). Clinically, at 3 months, the fracture united, the patient regained full flexion, and valgus defect-laxity resolved. Conclusions: The presented Panflute-osteotomy guide allows for a pre-planned curved osteotomy. Additionally, for every drill trajectory, the depth could be controlled. The proposed method may expand our surgical armamentarium of patient-specific 3D techniques and solutions for complex intra-articular osteotomies.
Thyrotoxic Myopathy with Nonspecific Ophthalmopathy in a Two-Year-Old Child: Case Report and Literature Review
Authors: Smółka Katarzyna , Perenc Lidia , Pelc Joanna , Smółka Leon , Szajnik Konrad
Published: October 2024

Background: Myopathies encompass a wide range of diseases with diverse etiologies, courses, and prognoses, and can be either genetic or acquired in nature. One of the rare causes of acquired myopathies in children is hyperthyroidism. Ocular manifestations of hyperthyroidism include proptosis (exophthalmos) and widening of the palpebral fissure. Conversely, ptosis may indicate co-existing myasthenia or primary or secondary myopathy. Methods: This study presents a case of a 2-year-old child exhibiting both ocular disorders—each in one eye—along with features of proximal myopathy associated with undiagnosed thyrotoxicosis. Results: To our knowledge, this unique presentation of thyrotoxicosis in a young child has not been previously reported. After appropriate treatment for thyrotoxicosis, the child’s ocular and muscular symptoms showed improvement. Conclusions: Given that thyroid disorders can be a rare cause of both myopathy and ocular disorders in children, it is recommended that any child presenting with such symptoms undergo thyroid function screening tests.
The mTOR Pathway: A Common Link Between Alzheimer’s Disease and Down Syndrome
Authors: Wohlfert Abigail J. , Phares Jeremiah , Granholm Ann-Charlotte
Published: October 2024

Down syndrome (DS) is a chromosomal condition that causes many systemic dysregulations, leading to several possible age-related diseases including Alzheimer’s disease (AD). This may be due to the triplication of the Amyloid precursor protein (APP) gene or other alterations in mechanistic pathways, such as the mTOR pathway. Impairments to upstream regulators of mTOR, such as insulin, PI3K/AKT, AMPK, and amino acid signaling, have been linked to amyloid beta plaques (Aβ) and neurofibrillary tangles (NFT), the most common AD pathologies. However, the mechanisms involved in the progression of pathology in human DS-related AD (DS-AD) are not fully investigated to date. Recent advancements in omics platforms are uncovering new insights into neurodegeneration. Genomics, spatial transcriptomics, proteomics, and metabolomics are novel methodologies that provide more data in greater detail than ever before; however, these methods have not been used to analyze the mTOR pathways in connection to DS-AD. Using these new techniques can unveil unexpected insights into pathological cellular mechanisms through an unbiased approach.
Altered Expressions of IL-15, IFNG, and HPRT1 Genes in the Thin Endometria of Patients with Reproductive Disorders: A Prospective Comparative Study
Authors: Kurmanova Almagul , Ashirbekov Yeldar , Kurmanova Gaukhar , Mamedaliyeva Nagima , Anartayeva Gaini , Moshkalova Gaukhar , Salimbayeva Damilya , Tulesheva Aidana , Zhankina Zhamilya
Published: October 2024

Reproductive disorders are common events in modern reproductive medicine, occurring both in spontaneous and assisted pregnancies. Studies on the molecular mechanisms of implantation disorders in thin endometria, including the study of gene transcriptional activities, have shed light on the identification of the potential biological markers of endometrial receptivity. Background/Objectives: The goal of this study was to reveal the significantly dysregulated selected gene expressions between RIF and RPL patients with thin endometria. Methods: Endometrial samples were collected from RIF patients (n = 20) and RPL patients (n = 19) during the implantation window days (LH + 7—LH + 10) of their natural menstrual cycles. Ten genes were chosen as the target genes regarding their possible relations with the implantation process. The total RNA was purified and reverse-transcribed, and gene expressions were quantified by RT-PCR. Results: The expressions of the IL-15, INFG, and HPRT1 genes were significantly decreased in the RIF patients with thin endometria compared to the RPL patients (log2 fold change = 0.92, p = 0.023 for IL-15; log2 fold change = 1.24, p = 0.046 for INFG; and log2 fold change = 0.579, p = 0.046 for HPRT1). There were no significant differences in the expressions of the CXCL8, CXCL1, MMP10, C4BPA, TNC, VEGFB, and HAND2 genes between the groups. Conclusions: Decreased expressions of the IL-15, INFG, and HPRT1 genes were found in patients with RIF with thin endometria compared to the endometria of women with RPL. This has practical significance for clinicians for the differentiated prescription of immunomodulatory therapy in patients undergoing ART programs.
Systematic Review and Meta-Analysis of Intervention Techniques in Occupational Therapy for Babies and Children with Obstetric Brachial Plexus Palsy
Authors: Martínez-Carlón-Reina María , Hareau-Bonomi Janine , Rodríguez-Pérez Mª Pilar , Huertas-Hoyas Elisabet
Published: October 2024

(1) Background: Obstetric brachial plexus palsy (OBPP) is an unpredictable and unpreventable neurological injury, caused by shoulder dystocia during birth, that affects the brachial plexus and leads to motor and sensory deficits in the child’s upper extremity. The limited literature on early therapeutic assessment of newborns with OBPP highlights a gap in specialized care that, if filled, could enhance decision-making and support timely treatment. The objective of this paper is to analyze the therapeutic intervention techniques used at an early stage and their functional impact, from the occupational therapy discipline in the treatment of the upper extremity in babies and children with OBPP. (2) Method: Systematic review design and meta-analysis. A systematic review is a comprehensive analysis of existing research on a specific topic, using rigorous methods to identify, evaluate, and synthesize studies. Meta-analysis, often part of a systematic review, combines results from multiple studies to identify overall trends and enhance reliability, providing a clearer summary of evidence. Articles that included pediatric patients (from birth to 12 years of age) with a diagnosis of OBPP were reviewed. The results of the techniques used were analyzed according to each study, with the scale or method of assessment considered by the study for the presentation of data. The articles were assessed for methodological quality using the “PEDro Validity Scale”. (3) Results: A total of 2190 articles were found, with 108 analyzed and 22 fully meeting this study’s standards. Fourteen had a quantitative design, while the others included clinical guidelines. The most statistically reliable intervention techniques were CIMT (constraint-induced movement therapy) and splinting (dynamic and static), with second-tier techniques like joint manipulation, NMES, early infant management education, and serial casting used when needed. This study focused on children from birth to eight years old, with assessment tools primarily measuring upper limb range of motion, external rotation, supination, and impairment levels, though bimanual activity assessment was less common. (4) Conclusions: The early implementation of the techniques that provide us with the most data are CIMT, splinting, NMES, and joint manipulation linked to health education for families. In second place, we have the use of TB infiltrations and serial casts, when the treatment of the previous techniques fails in some cases.
Predicting Survival Status in COVID-19 Patients: Machine Learning Models Development with Ventilator-Related and Biochemical Parameters from Early Stages: A Pilot Study
Authors: Chou Shin-Ho , Tsai Cheng-Yu , Hsu Wen-Hua , Chung Chi-Li , Li Hsin-Yu , Chen Zhihe , Chien Rachel , Cheng Wun-Hao
Published: October 2024

Objective: Coronavirus disease 2019 (COVID-19) can cause intubation and ventilatory support due to respiratory failure, and extubation failure increases mortality risk. This study, therefore, aimed to explore the feasibility of using specific biochemical and ventilator parameters to predict survival status among COVID-19 patients by using machine learning. Methods: This study included COVID-19 patients from Taipei Medical University-affiliated hospitals from May 2021 to May 2022. Sequential data on specific biochemical and ventilator parameters from days 0–2, 3–5, and 6–7 were analyzed to explore differences between the surviving (successfully weaned off the ventilator) and non-surviving groups. These data were further used to establish separate survival prediction models using random forest (RF). Results: The surviving group exhibited significantly lower mean C-reactive protein (CRP) levels and mean potential of hydrogen ions levels (pH) levels on days 0–2 compared to the non-surviving group (CRP: non-surviving group: 13.16 ± 5.15 ng/mL, surviving group: 10.23 ± 5.15 ng/mL; pH: non-surviving group: 7.32 ± 0.07, survival group: 7.37 ± 0.07). Regarding the survival prediction performanace, the RF model trained solely with data from days 0–2 outperformed models trained with data from days 3–5 and 6–7. Subsequently, CRP, the partial pressure of carbon dioxide in arterial blood (PaCO2), pH, and the arterial oxygen partial pressure to fractional inspired oxygen (P/F) ratio served as primary indicators in survival prediction in the day 0–2 model. Conclusions: The present developed models confirmed that early biochemical and ventilatory parameters—specifically, CRP levels, pH, PaCO2, and P/F ratio—were key predictors of survival for COVID-19 patients. Assessed during the initial two days, these indicators effectively predicted the likelihood of successful weaning of from ventilators, emphasizing their importance in early management and improved outcomes in COVID-19-related respiratory failure.
Endoplasmic Reticulum Stress in Neurodegenerative Diseases
Authors: Hasan Syed-Abdul-Moiz , James Antonisamy William , Fazili Farzeen M. , Tarabishi Samiha , Sheikh Namir M. , Shah Zahoor A.
Published: October 2024

Endoplasmic reticulum (ER) stress is a detrimental cellular phenomenon in the cells and is activated by the accumulation of unfolded or misfolded proteins in the ER. The unfolded protein accumulation activates the unfolded protein response (UPR), an adaptive mechanism designed to mitigate cellular stress by enhancing the ER’s protein-folding capacity and protecting cells from apoptotic stimuli in neuroinflammation and neurodegenerative diseases. However, chronic ER stress and prolonged activation of the UPR can have adverse effects, including the activation of pro-apoptotic and inflammatory signaling pathways, which contribute to the development and progression of neurodegenerative disorders. Neurodegenerative diseases are complex and devastating conditions with underlying pathogenesis that are not fully understood. Genetic mutations leading to the accumulation of misfolded or phosphorylated tau proteins and amyloid-beta in the ER can induce ER stress, resulting in neuroinflammation and neuronal death. Several studies have reported the involvement of increased ER stress and UPR signaling proteins in the pathogenesis and progression of neurodegenerative diseases. Thus, inhibiting ER stress and neuroinflammation and targeting their associated signaling pathways represent a significant area of research interest. This review discusses the critical signaling molecules involved in ER stress, their mechanisms in the progression of neurodegenerative diseases, and the latest developments in the available ER stress inhibitors. Despite the extensive development of ER stress inhibitors over the years, only a limited number have been approved as pharmaceutical drugs. There remains a critical need for effective ER stress inhibitors to provide efficient treatments for neurodegenerative diseases, including Alzheimer’s disease.
Identification of Thermal Environment Networks in the Wanjiang Urban Agglomeration Based on MSPA and Circuit Theory
Authors: Han Yuexia , Dong Bin , Xu Zhili , Qu Jianshen , Wang Hao , Xu Liwen
Published: October 2024

With the acceleration of urbanization, the high density and intensity of urban construction and expansion have led to an exacerbation of the urban heat island (UHI) effect, which, in turn, contributes to global climate warming and severely impacts urban ecological environments and human health. This study takes the Wanjiang urban agglomeration as a case study. Using land surface temperature data from 2010, 2016, and 2022, the study employs the Morphological Spatial Pattern Analysis (MSPA) model to quantitatively identify the types and spatiotemporal distribution characteristics of heat island patches in the Wanjiang urban agglomeration. Based on this analysis, this study constructed thermal environment sources and heat island corridors, and applied circuit theory (CIRCUIT) to identify the spatial network of the thermal environment in the urban agglomeration. The results show that (1) from 2010 to 2022, seven types of heat island patches in the Wanjiang urban belt were identified by consensus, mainly distributed in the northwest and southeast, and their areas increased significantly. The dominant type of heat island patches changed from island type in 2010 to core type in 2022. (2) From 2010 to 2022, the number and area of urban thermal environment sources in Wanjiang increased. According to the thermal environment source distribution and circuit theory, the number of heat island corridors increased from 2010 to 2022. The pinch points of the heat island network in the Wanjiang urban agglomeration increased from 2010 to 2022, indicating that the ecosystem connectivity of the urban agglomeration had improved during the study period. Based on the circuit theory, the heat island network barrier points of the urban agglomeration from 2010 to 2022 are identified. (3) During 2010–2022, α, β, and γ increased with time, the overall connectivity of the thermal environment network in the Wanjiang urban agglomeration was enhanced, the heat transmission efficiency between source areas was gradually improved, and the high temperature threat degree to urban and rural residents was on the rise. This study provides an identification and assessment of the spatial network of the thermal environment in the Wanjiang urban agglomeration, offering valuable insights for understanding the thermal environment network pattern and mitigating the urban heat island effect in the region.
Fire Detection with Deep Learning: A Comprehensive Review
Authors: Vasconcelos Rodrigo N. , Franca Rocha Washington J. S. , Costa Diego P. , Duverger Soltan G. , Santana Mariana M. M. de , Cambui Elaine C. B. , Ferreira-Ferreira Jefferson , Oliveira Mariana , Barbosa Leonardo da Silva , Cordeiro Carlos Leandro
Published: October 2024

Wildfires are a critical driver of landscape transformation on Earth, representing a dynamic and ephemeral process that poses challenges for accurate early detection. To address this challenge, researchers have increasingly turned to deep learning techniques, which have demonstrated remarkable potential in enhancing the performance of wildfire detection systems. This paper provides a comprehensive review of fire detection using deep learning, spanning from 1990 to 2023. This study employed a comprehensive approach, combining bibliometric analysis, qualitative and quantitative methods, and systematic review techniques to examine the advancements in fire detection using deep learning in remote sensing. It unveils key trends in publication patterns, author collaborations, and thematic focuses, emphasizing the remarkable growth in fire detection using deep learning in remote sensing (FDDL) research, especially from the 2010s onward, fueled by advancements in computational power and remote sensing technologies. The review identifies “Remote Sensing” as the primary platform for FDDL research dissemination and highlights the field’s collaborative nature, with an average of 5.02 authors per paper. The co-occurrence network analysis reveals diverse research themes, spanning technical approaches and practical applications, with significant contributions from China, the United States, South Korea, Brazil, and Australia. Highly cited papers are explored, revealing their substantial influence on the field’s research focus. The analysis underscores the practical implications of integrating high-quality input data and advanced deep-learning techniques with remote sensing for effective fire detection. It provides actionable recommendations for future research, emphasizing interdisciplinary and international collaboration to propel FDDL technologies and applications. The study’s conclusions highlight the growing significance of FDDL technologies and the necessity for ongoing advancements in computational and remote sensing methodologies. The practical takeaway is clear: future research should prioritize enhancing the synergy between deep learning techniques and remote sensing technologies to develop more efficient and accurate fire detection systems, ultimately fostering groundbreaking innovations.
Unveiling the Hydrochemical and Ecotoxicological Insights of Copper and Zinc: Impacts, Mechanisms, and Effective Remediation Approaches
Authors: Falfushynska Halina , Lewicka Kamila , Rychter Piotr
Published: October 2024

Water pollution is a pressing global issue significantly affecting ecosystem health, biodiversity, and human well-being. While numerous studies have concentrated on toxic metals like cadmium, lead, and mercury, essential metals such as copper and zinc often receive less attention. This review focuses on the distribution and occurrence of copper and zinc in surface water, their accumulation in freshwater organisms, and potential strategies for mitigating the environmental pressure caused by these metals. Zinc concentrations in uncontaminated freshwater usually range from 3 to 12 μg∙L−1 and form low-bioavailable hydroxo-complexes that are especially stable in weak alkaline water. The zinc concentration trend globally is Europe > Africa > Asia > South America > North America. Conversely, copper concentrations vary from 0.2 to 5.5 µg∙L−1, with the order being Asia > Africa > South America > North America > Europe. Humic substances are the likely predominant ligands for copper in these environments. The accumulation of copper and especially zinc in freshwater animals may not be a reliable indicator of metal pollution due to potential metabolic regulation. Bioremediation approaches, including phytoremediation and biosorption using plants and microorganisms, show promise in addressing water contamination. Future research should emphasize advanced bioremediation methods, emission reduction strategies, and refined modeling techniques to predict pollution trends and evaluate remediation effectiveness.
Synthesis and Characterization of Bio-Based Polyurea Derived from Liquefied Wood of Wooden Musical Instrument Offcuts
Authors: Masuda Go , Enyoh Christian Ebere , Wang Weiqian , Suzuki Miho , Honda Yu , Wang Qingyue
Published: October 2024

During the manufacturing of wooden musical instruments, offcut wood pieces are inevitably generated. This study explores the potential of utilizing three types of these small offcut wood pieces, mahogany, maple, and rosewood, by converting them into polyurea through liquefied wood technology by proposing a novel approach to synthesizing bio-based polyurea. This polyurea is a durable polymer, offering long-term carbon fixation and thereby contributing to environmental sustainability. In this study, various liquefaction conditions as parameters, including the temperature, sulfuric acid content, mix solvent ratio, and liquefaction time, were investigated in relation to polyurea film properties. The relationship between the mechanical and thermal properties of the resulting films and the characteristics of the liquefied product was investigated. Notably, when the hydroxyl value of the liquefied product exceeded 300, the resulting polyurea derived from the liquefied product exhibited a high tensile strength of 25 MPa. In contrast, when the hydroxyl value was below 300, the polyurea derived from the liquefied product displayed a strain value of up to 150%, alongside an increased thermal decomposition temperature. These findings suggest that the properties of polyurea can be effectively tuned by manipulating the characteristics of the liquefied product, offering a promising approach to enhancing the value of offcut wood in instrument manufacturing.
Mathematical Modeling and Analysis of Ebola Virus Disease Dynamics: Implications for Intervention Strategies and Healthcare Resource Optimization
Authors: Ullah Ikram , Ahmad Imtiaz , Ali Nigar , Haq Ihtisham Ul , Idrees Mohammad , Albalwi Mohammed Daher , Yavuz Mehmet
Published: October 2024

This study implements a minded approach to studying Ebola virus disease (EVD) by dividing the infected population into aware and unaware groups and including a hospitalized compartment. This offers a more detailed understanding of illness distribution, potential analyses, and the influence of public knowledge. The findings might improve healthcare budget apportionment, public health policy, and contest Ebola and related infections. In this study, we fully observe the new model SEIHR that we have constructed. We start by outlining the essential concepts of the model and confirming its mathematical reliability. Next, we calculate the fundamental reproductive number (R0), which is critical for appreciating how the infection spreads and how effective treatments might be. We also study stability analysis, which looks at when the disease may decline or become chronic. Furthermore, we exhibit the occurrence of bifurcation in the EVD Epidemic Model and perform a sensitivity analysis of (R0). The main findings of this study show that for R0<1, the disease-free equilibrium, is globally stable, meaning the disease will die out, whereas for R0>1, the endemic equilibrium is stable, meaning the disease persists. Additionally, the sensitivity analysis reveals that the most influential parameters in controlling R0 are the transmission rate and the recovery rate, which could guide effective intervention strategies. Finally, we use numerical simulations so that out outcomes are more significant.
Protective Effect of Exercise Against Depression, Anxiety, and Stress Among University Students Based on Their Level of Academic Performance
Authors: Gosadi Ibrahim M.
Published: October 2024

Background and Objectives: Certain lifestyle behaviors can act as either buffering or aggravating factors influencing the mental well-being of university students. The current investigation assessed the association between academic performance and the risk of anxiety, depression, and stress among university students and how physical activity might buffer the levels of these conditions. Materials and Methods: A cross-sectional design was utilized to reach a sample of university students from Saudi Arabia. Data about the demographics of the students, GPA, exercise regularity, and levels of anxiety, depression, and stress were collected. Logistic regression was performed to investigate the influence of exercise regularity on the presence of anxiety, depression, and stress, dividing the sample according to the GPA category. Result: A total of 506 students were recruited. The mean age of the students was 22 years, and 53% of the students were men. An assessment of the levels of depression, anxiety, and stress indicated that 60%, 57%, and 40% have abnormal levels of these conditions, respectively. Students with a GPA of “good” or lower exhibited higher levels of stress. Exercising regularly was associated with a protective effect against depression and stress (p < 0.05). However, the buffering effect of exercise was more apparent among students with a GPA of “very good” or above compared to students with lower academic achievement. Conclusions: The lack of a statistically significant association between physical activity regularity and mental well-being among students classified as low academic achievers may indicate the need for additional psychological support in addition to the promotion of a physically active lifestyle.
The Influence of Cholesterol on Membrane Targeted Bioactive Peptides: Modulating Peptide Activity Through Changes in Bilayer Biophysical Properties
Authors: Giraldo-Lorza Juan M. , Leidy Chad , Manrique-Moreno Marcela
Published: October 2024

Cholesterol is a biological molecule that is essential for cellular life. It has unique features in terms of molecular structure and function, and plays an important role in determining the structure and properties of cell membranes. One of the most recognized functions of cholesterol is its ability to increase the level of lipid packing and rigidity of biological membranes while maintaining high levels of lateral mobility of the bulk lipids, which is necessary to sustain biochemical signaling events. There is increased interest in designing bioactive peptides that can act as effective antimicrobial agents without causing harm to human cells. For this reason, it becomes relevant to understand how cholesterol can affect the interaction between bioactive peptides and lipid membranes, in particular by modulating the peptides’ ability to penetrate and disrupt the membranes through these changes in membrane rigidity. Here we discuss cholesterol and its role in modulating lipid bilayer properties and discuss recent evidence showing how cholesterol modulates bioactive peptides to different degrees.
Silybin Meglumine Mitigates CCl4-Induced Liver Fibrosis and Bile Acid Metabolism Alterations
Authors: Liu Xiaoxin , Xia Ninglin , Yu Qinwei , Jin Ming , Wang Zifan , Fan Xue , Zhao Wen , Li Anqin , Jiang Zhenzhou , Zhang Luyong
Published: October 2024

Background: Altered patterns of bile acids (BAs) are frequently present in liver fibrosis, and BAs function as signaling molecules to initiate inflammatory responses. Silybin meglumine (SLB-M) is widely used in treating various liver diseases including liver fibrosis. However, research on its effects on bile acid (BA) metabolism is limited. This study investigated the therapeutic effects of SLB-M on liver fibrosis and BA metabolism in a CCl4-induced murine model. Methods: A murine liver fibrosis model was induced by CCl4. Fibrosis was evaluated using HE, picrosirius red, and Masson’s trichrome staining. Liver function was assessed by serum and hepatic biochemical markers. Bile acid (BA) metabolism was analyzed using LC-MS/MS. Bioinformatics analyses, including PPI network, GO, and KEGG pathway analyses, were employed to explore molecular mechanisms. Gene expression alterations in liver tissue were examined via qRT-PCR. Results: SLB-M treatment resulted in significant histological improvements in liver tissue, reducing collagen deposition and restoring liver architecture. Biochemically, SLB-M not only normalized serum liver enzyme levels (ALT, AST, TBA, and GGT) but also mitigated disruptions in both systemic and hepatic BA metabolism by increased unconjugated BAs like cholic acid and chenodeoxycholic acid but decreased conjugated BAs including taurocholic acid and taurodeoxycholic acid, compared to that in CCl4-induced murine model. Notably, SLB-M efficiently improved the imbalance of BA homeostasis in liver caused by CCl4 via activating Farnesoid X receptor. Conclusions: These findings underscore SLB-M decreased inflammatory response, reconstructed BA homeostasis possibly by regulating key pathways, and gene expressions in BA metabolism.
Thermal Bending Simulation and Experimental Study of 3D Ultra-Thin Glass Components for Smartwatches
Authors: Hu Shunchang , Sun Peiyan , Zhang Zhen , Zhang Guojun , Ming Wuyi
Published: October 2024

The heating system is an essential component of the glass molding process. It is responsible for heating the glass to an appropriate temperature, allowing it to soften and be easily molded. However, the energy consumption of the heating system becomes particularly significant in large-scale production. This study utilized G-11 glass for the simulation analysis and developed a finite element model for the thermal conduction of a 3D ultra-thin glass molding system, as well as a thermal bending model for smartwatches. Using finite element software, the heat transfer between the mold and the glass was modeled, and the temperature distribution and thermal stress under various processing conditions were predicted. The findings of the simulation, when subjected to a numerical analysis, showed that heating rate techniques significantly affect energy consumption. This study devised a total of four heating strategies. Upon comparison, optimizing with heating strategy 4, which applies an initial heating rate of 35 mJ/(mm2·s) during the initial phase (0 to 60 s) and subsequently escalates to 45 mJ/(mm2·s) during the second phase (60 to 160 s), resulted in a reduction of 4.396% in the system’s thermal output and a notable decrease of 7.875% in the heating duration, respectively. Furthermore, a single-factor research method was employed to study the forming process parameters. By comparing the numerical simulation results, it was found that within the temperature range of 615–625 °C, a molding pressure of 25–35 MPa, a heating rate of 1.5–2.5 °C/s, a cooling rate of 0.5–1 °C/s, and a pulse pressure of 45–55 Hz, the influence on residual stress and shape deviation in the glass was minimal. The relative error range was within the 20% acceptable limit, according to the experimental validation, which offered crucial direction and ideas for process development.
The Influence of Harmonic Content on the RMS Value of Electromagnetic Fields Emitted by Overhead Power Lines
Authors: Bendík Jozef , Cenký Matej , Eleschová Žaneta
Published: October 2024

This paper investigates the influence of harmonic content on the root mean square value of electromagnetic fields emitted by overhead power lines. The paper presents a methodology to assess the intensity of electric field and magnetic flux density, incorporating both fundamental frequencies and harmonics. The results of our calculations indicate that harmonic distortion in current waveforms can significantly increase the RMS value of magnetic flux density but its effect on electric field intensity is minimal. Additionally, our findings highlight a potential increase in induced voltages on buried or overhead steel pipelines in the vicinity of OPLs, which could pose risks such as pipeline damage and increased corrosion. This underscores the importance of considering harmonic content in EMF exposure evaluations to address both health risks and potential infrastructure impacts comprehensively. Effective harmonic management and rigorous infrastructure monitoring are essential to prevent potential hazards and ensure the reliability of protective systems.
Computational Multiscale Study of the Interaction Between the PDMS Polymer and Sunscreen-Related Pollutant Molecules
Authors: Armaković Stevan , Vujić Đorđe , Brkić Boris
Published: October 2024

Sunscreen molecules play a critical role in protecting skin from ultraviolet radiation, yet their efficient detection and separation pose challenges in environmental and analytical contexts. In this work, we employ a multilevel modeling approach to investigate the molecular interactions between representative sunscreen molecules and the polydimethylsiloxane (PDMS) polymer, a material widely recognized for its sorbent properties. Our goal is to explore how these interactions can be fine-tuned to facilitate the effective separation of sunscreen molecules in portable membrane inlet mass spectrometry (MIMS) systems, potentially leading to the development of new membrane materials. Using a combination of advanced computational techniques—force field molecular dynamics simulations, semiempirical GFN2-xTB, and density functional theory calculations—we assess the interaction strength and noncovalent interactions of sunscreen molecules, namely oxybenzone, naphthalene, benzo[a]anthracene, avobenzone, and 1,3,5-trichlorobenzene, with PDMS. Additionally, the effect of temperature on the interaction dynamics is evaluated, with the aim of extending the sorbent capacities of PDMS beyond light polar molecules to larger, polar sunscreen compounds. This study provides critical insights into the molecular-level interactions that may guide the design of novel membrane materials for efficient molecular separation.
New Phytol Derivatives with Increased Cosmeceutical Potential
Authors: Rosa Gonçalo P. , Seca Ana M. L. , Pinto Diana. C. G. A. , Barreto M. Carmo
Published: October 2024

Natural compounds are widely incorporated into cosmetic products for many purposes. Diterpenes often function as fragrances, enhancing the sensory experience of these formulations. However, current trends in cosmetic science aim to develop multifunctional products, where compounds traditionally used for texture or fragrance also possess biological activities that contribute to the product’s efficacy. In this context, this study focuses on synthesizing derivatives of phytol—a compound already presents in cosmetic formulations—to enhance its anti-aging properties. The derivatives were synthesized through esterification with substituted benzoic and cinnamic acids, known for their antioxidant and enzyme inhibition properties. Reaction yields ranged from 91.0% to 5.2%, depending on the substituents in acid derivatives. The structures of the synthesized compounds were confirmed through NMR and MS techniques. Both the natural and newly synthesized derivatives were evaluated for their cosmeceutical potential using antioxidant assays and inhibition assays for tyrosinase, elastase, collagenase, and hyaluronidase. This work presents the first report of the synthesis and cosmetic evaluation of several of these derivatives. Comparing with phytol (1), which presented an IC50 of 77.47 µM, four of the derivatives presented improved tyrosinase inhibitory activity, with phytyl 4-methoxybenzoate being the most active (IC50 = 27.9 µM), followed by phytyl benzoate with an IC50 of 34.73 µM. Substitutions at other positions on the aromatic ring were less effective. Molecular docking studies confirmed that the modifications potentiated a stronger interaction between the synthesized compounds and tyrosinase.
Novel Statistical Analysis Schemes for Frequency-Modulated Thermal Wave Imaging for Inspection of Ship Hull Materials
Authors: Singh Ishant , Arora Vanita , Babu Prabhu , Mulaveesala Ravibabu
Published: October 2024

In the field of thermal non-destructive testing and evaluation (TNDT&E), active thermography gained popularity due to its fast wide-area monitoring and remote inspection capability to assess materials without compromising their future usability. Among the various active thermographic methods, pulse compression-favorable frequency-modulated thermal wave imaging stands out for its enhanced detectability and depth resolution. In this study, an experimental investigation has been carried out on a hardened steel sample used in the ship building industry with a flat-bottom-hole-simulated defect using the frequency-modulated thermal wave imaging (FMTWI) technique. The defect detection capabilities of FMTWI have been investigated from various statistical post-processing approaches and compared by taking the signal-to-noise ratio (SNR) as a figure of merit. Among various adopted statistical post-processing techniques, pulse compression has been carried out using different methods, namely the offset removal with polynomial curve fitting and principal component analysis (PCA), which is an unsupervised learning approach for data reduction and offset removal with median centering for data standardization. The performance of these techniques was assessed through experimental investigations on hardened steel specimens used in ship building to provide valuable insights into their effectiveness in defect detection capabilities.