bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long COVID and menstruation: bidirectional associations and potential mechanisms.
Authors: Maybin Jacqueline , Walker Catherine , Watters Marianne , Homer Natalie , Simpson Joanna , Robb Cara , Critchley Hilary O.D. , Kountourides Gabriella , Olszewska Zuzanna , Alvergne Alexandra 
Published: January 2025

Abstract

Women have reported both menstrual disruption following SARS-CoV-2 infection and that long COVID symptoms change across the menstrual cycle. Yet there is a lack of female-specific research on COVID and menstruation. We aimed to determine if (i) acute/long COVID is associated with abnormal uterine bleeding (AUB), (ii) long COVID symptoms vary across the menstrual cycle and (iii) the mechanisms underpinning any such associations.

We reveal that long COVID was significantly associated with AUB in a UK population, with menstrual flow volume, duration, and intermenstrual bleeding reported as significantly increased (n=1048) compared to those who had never had COVID (n=9433). With acute COVID (n=2017), only menstrual volume was increased. Examination of long COVID symptoms in 54 women across the menstrual cycle revealed that symptom severity was increased during the peri-menstrual and proliferative phases. To determine the impact of long COVID on ovarian and endometrial function, we analysed blood serum and endometrial tissue from ten women with long COVID at three points of their menstrual cycle and age-matched samples collected pre-pandemic. Higher secretory phase serum 5α-dihydrotestosterone and lower menstrual and proliferative phase endometrial androgen receptor levels were found in those with long COVID versus controls. No other significant differences in ovarian sex steroid hormone levels were detected. Serum Anti-Mullerian Hormone levels were also comparable, consistent with no significant impact of long COVID on ovarian reserve. Serum cytokine profiling indicated more menstrual phase inflammation in those with long COVID versus controls and less inflammation during the proliferative phase. We detected menstrual endometrial immune cell aggregates in those with long COVID that may contribute to altered tissue inflammation and AUB.

In conclusion, whilst long COVID was associated with menstrual disturbance, it reassuringly does not appear to significantly impact ovarian function. Differences in peripheral and endometrial inflammation may contribute to AUB and increase long COVID symptom severity at menstruation. We anticipate that these data from across the menstrual cycle will decrease the gender health gap in long COVID biomarker development and instigate further exploration of new therapeutic strategies for long COVID symptoms in women.
Ravulizumab Stabilizes Life-Threating Intravascular Hemolysis Following Delayed Hemolytic Transfusion Reaction due to Alloantibodies Anti-e and Anti-jka: the First Successful Administration
Authors: Bezirgiannidou Zoe , Stamatiou Iliana , Theodoridis Theodoros M. , Kontekaki Eftychia , Panagiotopoulos Emmanouil , Misidou Christina , Vrachiolias George , Malkots Bouse , Papoutselis Menelaos , Kotsianidis Ioannis , Spanoudakis Emmanouil , Liapis Konstantinos 
Published: January 2025

Abstract

This report describes the first successful use of ravulizumab, a C5 complement inhibitor, to treat life-threatening intravascular hemolysis (IVH) caused by delayed hemolytic transfusion reaction (DHTR) in a 22-year-old woman. The patient developed acute hemolysis and hemodynamic instability after receiving a transfusion for posthemorrhagic anemia following a missed abortion. Seven days later, she presented with symptoms of fatigue, dizziness, and dark urine, with laboratory findings indicating IVH. Investigations revealed anti-e and anti-Jka alloantibodies, suggesting DHTR. Despite conventional treatment, her hemoglobin levels continued to drop, leading to concern for hyperhemolytic syndrome (HHS). After administering ravulizumab, her condition rapidly improved, and she was discharged with stable hemoglobin levels. Follow-up at 8 months showed complete recovery. This case demonstrates the potential of ravulizumab in managing complement-mediated hemolysis in severe transfusion reactions and highlights the need for further research on complement inhibitors in similar conditions.
Lipidomic Analysis for Discriminating Fermented and Non-Fermented Pearl Millet (Pennisetum Glaucum L.) Grains during Storage using Multivariate Data Analysis
Authors: Selvan Shilpa S , Mohapatra Debabandya , Kate Adinath , Tripathi Manoj Kumar , Kar Abhijit 
Published: January 2025

Abstract

Fatty acids (FAs) are the building block of fats or lipids and the key indicator for rancidity during grain storage. The pearl millet grains were subjected to lactobacillus (LAB) fermentation and changes in their lipidomic profile with respect to different storage conditions were analysed. This study scrutinised the effect of storage period and temperature (5, 25, and 45 °C) on the lipidomic profile of raw and fermented pearl millet grains stored for 120 days through the FA analysis. A total of 23 FA compounds were identified in raw and fermented grains during storage. The predominant FAs identified in both the control and fermented pearl millet grains are linoleic, oleic, palmitic, alpha-linolenic, and steric acids. It can be observed that the unsaturated FAs such as linoleic and oleic acids are prone to oxidation during storage, contribute to rancidity of the grains. Multivariate data analysis shows that the oPLS-DA and sPLS-DA could distinctly classify the lipidomic data as compared to PLS-DA with respect to various storage conditions. A high value of the variable importance in projection score (VIP> 1) indicates a significant contribution of the FAs to cluster separation. The idea of the lipidomic profile of FA analysis at a particular time period will be helpful for the endorsement of applicable remedial measures so as to minimize grain quality loss and recommending a use-by-date.
An Integrated Decision Support System for Optimizing Time-Cost Trade-offs in Linear Repetitive Projects
Authors: Mohamed Ahmed Gouda , Ali Ali Hassan , Abdelhady Ahmed Adel 
Published: January 2025

Abstract

The primary aim of this paper is to minimize the overall completion time of linear repetitive projects while simultaneously reducing direct and indirect costs by employing predefined construction methods. To address these challenges, the study proposes a dual-optimization framework that integrates Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). The methodology involves decomposing repetitive tasks into sub-tasks, enabling a more detailed and feasible Time-Cost Trade-off (TCT) analysis, which is further combined with the Line of Balance (LOB) methodology. A comparative analysis between GA and PSO highlights their respective strengths and effectiveness, an area previously underexplored in the literature. The findings reveal that the proposed framework significantly reduces costs and project durations. The GA approach achieves reductions of approximately 3.25% in direct costs, 20% in indirect costs, and 7% in total construction costs, while PSO demonstrates slightly better cost efficiency with a 4% reduction in direct costs and similar reductions in indirect costs. Both methods deliver a 20% reduction in project completion time, showcasing their effectiveness in streamlining construction processes. This paper contributes to the field by presenting the GA-PSO-based Linear Repetitive Project Time-Cost Trade-off (LRPTCT) model, integrating TCT with LOB, and offering a novel solution to the complexities of linear repetitive projects. Furthermore, its comparative analysis between GA and PSO provides valuable insights for optimizing construction project management practices.
Fabrication of sustainable graphene composite for heterocyclization of anti-inflammatory and antibacterial derivatives
Authors: Patil K. S. , Mane S. T. 
Published: January 2025

Abstract

Herein we have synthesized 9-aryl-1,8-dioxo-octahydroxanthenes using a newly developed graphene composite through heterocyclization. Notably, derivatives with –Cl and –NO2 substitutions demonstrated significant inhibition of protein denaturation, suggesting strong anti-inflammatory activity. Furthermore, compounds with –H, –Cl, and –NO2 exhibited the largest zones of inhibition (ZOI) against both Gram-positive (B. subtilis) and Gram-negative (E. coli) bacterial strains, underscoring their potent antibacterial properties. These derivatives show promising anti-inflammatory and antibacterial activities, with enhanced bioactivity observed at higher concentrations. Overall, our results indicate that these synthesized compounds have considerable potential for therapeutic applications in both anti-inflammatory and antibacterial treatments.
The Effects achand Menisms of Electroacupuncture Combined with Exercise Training on T2DM Sarcopenia Based on the Omi/HtrA2 Autophagy Pathway
Authors: Xie Zhilin , Shen Qingxia , Yang Kai , Fu Yingmei , Liu Fang , Chen Tong , Li Xiaoliu , Zhang Jing 
Published: January 2025

Abstract

Purpose: To explore the effects and mechanisms of electroacupuncture combined with exercise training on sarcopenia in mice with type 2 diabetes mellitus (T2DM).
Methods: C57bcs-db mice were randomly divided into 5 groups: control group, model group, electroacupuncture group, exercise group, electroacupuncture + running group. Except for the control group, the other four groups were subcutaneously injected with dexamethasone solution to establish a T2DM sarcopenia model. After successful modeling, the mice in the running group were trained on the treadmill for 5 weeks. Mice in electroacupuncture group were connected to electrotherapy apparatus for 5 weeks. Mice in the electroacupuncture + running group were treated with both running and electroacupuncture. The grasping power, body weight and wet weight of both gastrocnemius of mice were measured. The morphology and structure of gastrocnemius were observed by HE staining. mRNA expressions of omi, Hax-1, LC3 and Becline were detected by RT-PCR, and the expression of related autophagy molecular proteins were detected by Western blot.
Results: After the modeling, all the mice reached the successful criteria for modeling of sarcopenia. After intervention, the hind leg grip of mice in electroacupuncture group, running group and electroacupuncture + running group was significantly increased. The wet weight of gastrocnemius muscle in running + electroacupuncture group was significantly higher than that in model group, and the degree of muscle fiber atrophy of gastrocnemius muscle was significantly reduced. LC3mRNA level and omi/Htra2 protein expression level were significantly decreased in electroacupuncture + running group.
Conclusion: The evidence provided by this study suggests that dexamethasone induces sarcopenia in T2DM mice. Electroacupuncture combined with exercise improves grip strength, skeletal muscle wet weight, and muscle fiber atrophy in mice, and reduces the expression of autophagy-related mRNA and proteins, indicating that electroacupuncture combined with exercise may be an effective treatment for T2DM-related sarcopenia.
SIHDConReg: Continual learning for unsupervised 3D medical image registration via an improved synaptic intelligence
Authors: Remigio Adrian 
Published: January 2025

Abstract

The ability of machine learning algorithms to generalize to data shifts is essential in medical imaging due to the high accuracy demands in clinical practice. Continual learning algorithms have been leveraged in various medical imaging tasks, primarily image classification and segmentation. In this study, we explore the capabilities of continual learning using synaptic intelligence (SI) regularization in 3D unsupervised medical image registration. We also proposed SIHDConReg, which incorporates hypergradient descent to SI for improved convergence during model optimization. At each optimization iteration of SIHDConReg, SI regularization, SI parameter importance calculation, and adaptive learning rate update are added to the standard Adam loop. Our ablation experiments on three sequences of various medical image registration datasets demonstrated better learning plasticity for SIHDConReg compared to SI alone. Comparison of experiments with simple fine-tuning, and L2 weight regularization implies further improvement can be made to address the stability-plasticity trade-off. However, the small catastrophic forgetting involved in the datasets in this study shows SIHDConReg as a viable learning algorithm to help medical image registration models adapt to data shifts, such as changes in field-of-view and image quality, while retaining most of the prior task knowledge.
Study on the Molecular Mechanism amd Immune Cell Infiltration of Bushenhuoluo Decoction in Osteoarthritis Treatment Based on Network Pharmacology
Authors: Zhao Min , Huang Jing , Cao Lei , Zhou Xiang , Wang Peng , Li Keqin , Zhang Lei 
Published: January 2025

Abstract

Background
Osteoarthritis (OA) is a common degenerative joint disorder marked by the deterioration of cartilage, joint discomfort, and inflammation. The Bushenhuoluo Decoction (BSHLD) is a traditional Chinese remedy utilized for the management of OA. The aim of this study is to examine and elucidate the mechanism of BSHLD and how the compound interacts with the target of OA.
Methods
We used a network pharmacology approach that integrates multiple bioinformatics techniques to study OA. First, we collected and analyzed OA datasets from the Gene Expression Omnibus with the R package GEOquery. To identify key differentially expressed genes (DEGs), we performed differential expression analysis using the limma package. We obtained target genes from the Online Mendelian Inheritance in Man (OMIM) and the Comparative Toxicogenomics Database (CTD). Additionally, we obtained components of traditional Chinese medicine and their targets from the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP). To enhance our understanding of the biological processes and pathways involved, we conducted enrichment analyses using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). We constructed protein-protein interaction networks to pinpoint crucial genes, which we then validated using receiver operating characteristic curve analysis. Lastly, we assessed immune cell infiltration through the CIBERSORT algorithm.
Results
Differential expression analysis using the limma package identified key difference genes (KDGs) by intersecting DEGs with OA-RELAted genes, TCM target genes, and RBIRGs, resulting in 16 KDGs. GO and KEGG pathway enrichment analyses revealed significant biological processes and pathways, including muscle cell proliferation and PI3K-Akt signaling. Protein-protein interaction (PPI) networks were constructed using STRING, and hub genes were identified through CytoHubba algorithms, highlighting nine hub genes, including MYC and CDKN1A. Expression validation and ROC curve analysis demonstrated the diagnostic potential of hub genes, with HSP90AA1, MYC, and CDKN1A showing high accuracy (AUC > 0.9). The immune infiltration analysis showed a significant positive corRELAtion between the hub gene MYC and activated mast cells. There was a significant negative corRELAtion between hub gene CDKN1A and immune cell Mast cells resting.
Conclusion
These findings provide valuable insights into the molecular interactions of BSHLD in OA treatment, potentially revealing therapeutic targets and pathways for future studies.
Impact of Socio-Economic Factors on Healthcare Expenditures of Vulnerable Elderly People in Morocco
Authors: LOUCIFI SAID , Salmi Abdelkader , Hassainate Mohammed Saber 
Published: January 2025

Abstract

In 1960, Morocco had 835,000 people aged 60 and over. This number reached 4.9 million in 2023 and is projected to rise to 10.1 million by 2050. The National Household Consumption and Expenditure Survey of 2013/2014 highlighted a notable disparity between male (135,387) and female (31,792) household heads. This article examines the impact of socio-economic factors on the annual health expenditures of vulnerable elderly individuals in Morocco, as well as their standard of living. Data used in this study come from the HCP-ENCDM survey (2014). We employed analysis of variance (ANOVA), t-tests, and multiple comparisons (Games-Howell) to identify variables influencing the increase in health expenditures among the elderly. The results indicate that health expenditures vary significantly based on regions, residence settings (urban/rural), household size, and the profession of the household head, while no significant difference was observed concerning gender. These findings underscore the importance of public health policies tailored to regional and socio-economic needs to reduce health inequalities.
Investigation of Obesity, Cardiovascular Risk, and Liver Fibrosis Assessment through Elastography in Type 1 Diabetes Patients
Authors: Sakurai Julia Tie , Gozzi Hitomi Wakabayashi , Neto Arnaldo Moura 
Published: January 2025

Abstract

Purpose
This study aimed to investigate the prevalence of obesity, cardiovascular risk (CVR), and liver fibrosis in Type 1 Diabetes (T1D) patients using hepatic elastography. Given the rising incidence of obesity and insulin resistance in T1D, the study also explored the relationship between Metabolic Syndrome (MetS) and Non-Alcoholic Fatty Liver Disease (NAFLD).
Methods
The study compared 50 T1D patients with 50 Type 2 Diabetes (T2D) patients in terms of MetS prevalence and CVR. Additionally, another group of 39 overweight or obese T1D patients underwent abdominal ultrasonography and hepatic elastography to assess NAFLD and liver stiffness. Clinical, anthropometric, and laboratory data were collected for all patients.
Results
MetS was present in 44% of T1D patients and 98% of T2D patients (p < 0.001). The 5-year CVR was similar between the groups, but the 10-year CVR was significantly higher in T2D patients (12% vs. 6%, p < 0.01). T1D patients with MetS showed higher CVR, poorer glycemic control, and more microvascular complications. NAFLD was diagnosed in 64.1% of T1D patients, with 8% exhibiting significant liver fibrosis. Liver stiffness correlated positively with BMI (r = 0.496, p = 0.026).
Conclusion
The findings highlight the growing concern of MetS and NAFLD in T1D patients, particularly in the context of rising obesity. Routine screening for NAFLD and CVR in T1D patients, especially those with metabolic risk factors, is crucial for preventing long-term complications.
Characterization of the response of Negative Air Ions released by green tree species to temperature based on Open Top Chamber
Authors: Li Shaoning , Chen Mingxia , Liu Xueqiang , Li Bin , Zhao Na , Xu Xiaotian , Lu Shaowei 
Published: January 2025

Abstract

This study aimed to investigate the effect of environmental factors on the release of Negative Air Ions (NAI) by various green tree species. An open-top chamber (OTC) control experiment focusing on temperature was conducted using typical gardening tree species found in Beijing, including Acer truncatum, Sophora japonica, Pinus bungeana, and Pinus tabuliformis. The effect of temperature on the NAI release ability of green tree species was evaluated using five "capacity indicators": NAI release contribution (L), release coefficient (n), release rate (s), instantaneous present amount (v), and total release amount (Z). The effect of temperature on NAI release was clearly defined. When humidity and light intensity were unchanged, L, n, s, v, and Z tended to increase with the temperature gradient (25℃–35℃), and the five "capacity indicators" peaked when the temperature was 35℃. There was a significant positive correlation between the release of NAI and temperature, in the following order: Acer truncatum (R2 = 0.84) > Sophora japonica (R2 = 0.56) > Pinus bungeana (R2 = 0.47) > Pinus tabuliformis (R2 = 0.37). This study elucidates the independent effects of temperature on NAI release in various tree species and provides a scientific basis for tree species allocation, forest health management, and urban green space planning.
Faculty development in health professions: a bibliometric analysis
Authors: Oliveira Luciana Butini , Pereira César Antonio , Lunardelli Adroaldo 
Published: January 2025

Abstract

Best practices in faculty development are fundamental to academic excellence in the health professions. Faculty members should have the knowledge, skills and attitudes to contribute to quality education in the health professions. The aim of this study was to systematically map the literature on faculty development in the health professions, conducting a bibliometric review. PubMed, Scopus and Web of Science were searched, using predefined keywords. The systematic mapping included the following indicators: time distribution, journals, authors and countries with the highest number of articles. The most common themes were represented in word clouds. Initially, 15,538 records were retrieved and 224 articles were included. The time analysis revealed a upward trend in the publication of articles on the topic (1977 to 2023). Scientific production is unevenly distributed across journals and countries. The United States has the most articles (n = 208), followed by Canada (n = 20), Australia (n = 19) and the United Kingdom (n = 9). There is also little collaboration between authors, although there is great diversity in thematic areas. Research indicates that priority is given to teacher development as a predominant factor in health education, demonstrating concern for the quality, efficacy, and effectiveness of health education.
Ratchet Effect and Current Reversal in an Underdamped Inhomogeneous Periodic Potential System
Authors: Iawphniaw Francis , Saikia Shantu 
Published: January 2025

Abstract

This work investigates the stochastic dynamics of particles in an underdamped periodic potential system with spatially varying friction. The system demonstrates ratchet effect, where particles exhibit directed motion without any obvious external bias, utilizing energy from random fluctuations. The particles also are able to work againsts an externally applied load. Notably, the particles display current reversals for optimum range of parameters. These phenomena are characterized and analyzed, highlighting their dependence on the different system parameters. Theese findings can have significant implications for micro - and nanoscale applications, such as particle separation and transport in microfluidic devices.
Enhancing Innovation Through International University-Industry Collaboration: Evidence from Panel Data Analysis
Authors: Fujiwara Ayano 
Published: January 2025

Abstract

This study empirically analyzes the impact of university-industry collaboration and job mobility on researchers' performance. It examines the changes in the effect of collaboration over time, compares the impacts of domestic and international collaborations, and assesses how job mobility influences innovation activities. Using Interrupted Time Series (ITS) analysis with panel data, the study finds that collaboration has a significant positive effect on researchers' performance, especially immediately after the collaboration, though this effect diminishes over time. International collaboration shows a stronger effect than domestic collaboration, as cross-cultural cooperation enhances performance through knowledge spillovers. Researchers with job mobility show higher increases in patent filings, and their collaboration with industry further amplifies performance improvements. These findings highlight the importance of promoting both domestic and international collaborations and supporting career mobility in researchers' development.