bluuebunny/crossref_metadata_2025_split huggingface dataset:
Correlation between Coronary Microvascular Dysfunction and Cardiorespiratory Fitness in Patients With ST-Segment Elevation Myocardial Infarction
Authors: Li Jinglin , Zhao Wei , Tian Zhenyu , Hu Yumeng , Xiang Jianping , Cui Ming 
Published: July 2024

Abstract

We retrospectively investigated the relationship between cardiopulmonary exercise testing (CPET) parameters and coronary microvascular dysfunction (CMD) using a novel angiography-based index of microcirculatory resistance (AccuIMR) in patients with ST-elevation myocardial infarction (STEMI) who underwent primary percutaneous coronary intervention (PCI) with complete revascularization. In 418 patients, the culprit vessel AccuIMR was calculated after successful primary PCI. CPET was conducted 44.04 ± 19.28 days after primary PCI. Overall, 157 patients (37.6%) showed elevated AccuIMR (> 40 U) in the culprit vessels. The LVEF was significantly lower in the CMD group than in the Non-CMD group. The CMD group showed worse results in VO2peak, peak O2-pulse, and VE/VCO2 slope than the Non-CMD group. Spearman correlation analysis suggested that VO2peak (r = -0.354), peak O2-pulse (r = -0.385) and VE/VCO2 slope (r = 0.294) had significant linear correlations with AccuIMR (P < 0.001). Multivariable logistic regression analysis showed that AccuIMR was the independent predictor of reduced VO2peak and elevated VE/VCO2 slope. The proportions of positive and equivocal ECG results and early O2-pulse flattening in the CMD group were significantly higher than those in the Non-CMD group, and AccuIMR was the only independent predictor of these ischemia-relating indicators, suggesting that patients with CMD had significant noninvasively detectable myocardial ischemia.
Drivers of Irrational Antibiotic Use in Thailand: A Multilevel Analysis of Post-COVID-19 Trends
Authors: Prasit Nakarin , Phimha Surachai , Nonthamat Ampawan , Nilnate Nathakon , Nidthumsakul Nattaporn , Sresut Puwanart 
Published: July 2024

Abstract

Background
The misuse of antibiotics has become a significant problem in Thailand and was particularly exacerbated after the COVID-19 pandemic. Increased access to antibiotics during the pandemic has led to a heightened risk of irrational antibiotic use. This study aimed to analyze the relationships and identify factors associated with antibiotic usage behavior among the Thai population.
Methods
To examine the factors influencing antibiotic use behavior in Thailand post-COVID-19 and to provide recommendations for targeted interventions. This study utilized secondary data from the 2021 health and welfare survey conducted by the National Statistical Office of Thailand. A total sample of 22,173 individuals was analyzed using multilevel logistic regression, controlling for covariates including region, province, and municipal areas.
Results
The key factors influencing antibiotic use included experiencing illness (adjusted OR: 4.96, 95% CI: 4.40–5.60), sustaining injuries from accidents (adjusted OR: 2.82, 95% CI: 2.19–3.64), hospital admission due to illness (adjusted OR: 1.64, 95% CI: 1.41–1.92), receiving dental care (adjusted OR: 1.31, 95% CI: 1.04–1.65), being ill but not receiving hospital treatment (adjusted OR: 1.84, 95% CI: 1.39–2.44), having problems and being unable to care for oneself (adjusted OR: 1.72, 95% CI: 1.42–2.08), ceasing prescribed medication (adjusted OR: 2.72, 95% CI: 2.40–3.09), and receiving information about antimicrobial resistance (adjusted OR: 5.09, 95% CI: 4.52–5.73).
Conclusion
The findings highlight the need for targeted interventions to address inappropriate antibiotic use. The government and relevant agencies should promote health awareness and literacy, develop effective medication reimbursement policies, and implement stricter regulations to minimize the adverse effects of antibiotic misuse. Enhanced public education and ensuring access to accurate information from healthcare professionals are essential for mitigating the threat of antimicrobial resistance in Thailand.
Genome-wide identification and expression analysis of kinesin genes superfamily suggested their roles in response to abiotic stress and fertility of wheat (Triticum aestivum L.)
Authors: Chen Qinge , Ren Yang , Yan Qin , Zheng Zhiyuan , Zhang Gaisheng , Ma Lingjian , Song Qilu , Niu Na 
Published: July 2024

Abstract

Background
Kinesin is a motor for microtubule-based motility and plays a vital role in plant growth and development. The kinesins superfamily members are mainly known from Arabidopsis. However, little research about kinesins superfamily has been conducted on hexploid wheat (Triticum aestivum L.). The functions of kinesins in wheat growth and development, regulation of cell division and response to stress are still unclear.
Results
In this study, we identified 155 TaKIN genes in wheat, which were divided into 10 families and some ungrouped proteins by phylogenetic analysis. Less gene structural differences showed that TaKIN genes had redundant functions. The conserved domains of different family members were different, and some families might have some special functional domains. We found many cis-acting elements related to hormones (GA, Auxin, SA, MeJA), cell cycle, cell division in homeopathic elements of TaKIN genes. Collinearity analysis showed that TaKIN genes were more conservative in monocotyledons. Expression level in different tissues at different stages suggested that TaKIN family may function during the whole growth and development process of wheat. It was worth noting there were quite different at gene expression level between physiological and heritable male sterile lines during the different stages of pollen development. The differential expression patterns of some TaKIN genes between male sterile line and maintainer line might be related to wheat male sterile. Furthermore, we also found TaKIN genes were involved in response to plant hormones and abiotic stress by stress assays.
Conclusions
The result is useful for further exploring the molecular mechanism of kinesin genes in wheat male sterility and provides the important information in response to plant hormones and abiotic stress.
Synthesis of Ag@ CuS doped mineral magnetite nanocomposite with improved photocatalytic activity against tetracycline and diclofenac pollutants
Authors: kakhki Roya Mohammadzadeh , Bolandhemmat Hadis 
Published: July 2024

Abstract

The contamination of water sources by pharmaceutical pollutants presents significant environmental and health hazards, making the development of effective photocatalytic materials crucial for their removal. This research focuses on the synthesis of a novel Ag@CuS-doped magnetite nanocomposite and its photocatalytic efficiency against tetracycline and diclofenac contaminants. The nanocomposite was created through a straightforward and scalable precipitation method, integrating silver nanoparticles (Ag NPs) and copper sulfide (CuS) into a magnetite framework. Various analytical techniques, including X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and energy-dispersive X-ray spectroscopy (EDS), were employed to characterize the structural and morphological properties of the synthesized material. The photocatalytic activity was tested by degrading tetracycline and diclofenac under visible light. Results indicated a marked improvement in the photocatalytic performance of the Ag@CuS-doped magnetite nanocomposite compared to both pure magnetite and CuS-doped magnetite. The enhanced photocatalytic efficiency is attributed to the synergistic interaction between Ag NPs, CuS, and Fe3O4, which improves light absorption and charge separation, thereby increasing the generation of reactive oxygen species (ROS) and promoting the degradation of the pollutants. This study highlights the potential of the Ag@CuS-doped magnetite nanocomposite as an efficient and reusable photocatalyst for eliminating pharmaceutical pollutants from water.
Construction of a well impairment model for determination of geothermal clogging
Authors: Hussain Ahmed , Meulenbroek Bernard , Gargar Negar Khoshnevis , Wolf Karl-Heinz 
Published: July 2024

Abstract

Producing geothermal heat from production water causes cooldown from the reservoir temperature up to 25 • C at fluid pressures from over 100 bar to 10 bar. During the process degassification of CO2 cause an increase in pH and by that dissolution and precipitation of minerals. At depth, mineral precipitation in the reservoir restricts flow paths through the cyclic system, resulting into injectiv-ity loss, by that higher injection pressures result in additional costs. In other words knowing where under (P,T)-conditions certain minerals are dissolved and generated helps to find spatial solutions that prevent the previously mentioned clogging and by that optimizes the fluid circulation. Due the large number of timesteps, numerically modeling mineralization, accounting for the reaction kinetics, can be computationally expensive. These simulations are less expensive when assuming a local equilibrium between the reactants and reaction-products. As described in [1] we present an analytical model for mineral precipitation in a low-enthalpy geothermal reservoir. The three different reaction regimes are (1) fast reactions (2) very slow reactions (3) reaction/transport intermediate 1 zone. We focus on the near-wellbore region in the reservoir, where precipitation can behave as a ‘skin’ and has a more dramatic impact on the injectivity than precipitation further downstream. Our numerical model uses a coupling approach between PHREEQC and COM-SOL utilizing the qualification of the different reaction regimes. This methodology was validated by using an analytical solution of a specific mineralization case. In addition it was compared to a field case.
The mediating role of health status in the relationship between indoor air pollution and life satisfaction among older adults in India
Authors: Adhikary Mihir , Goyal Amit , Akhtar Shamrin 
Published: July 2024

Abstract

Background
This research examines the link between indoor air pollution and overall contentment in life, considering health status as an intervening variable.
Methods
It utilizes a mediation analysis approach, drawing on data from 1st wave of the Longitudinal Ageing Study in India (LASI) carried out in 2017-18, involving a cohort of 29,517 individuals aged 60 and older. The analysis proceeds through three models: first, examining the direct association of indoor air pollution with life satisfaction; second, assessing the impact of pollution on health; and third, integrating both to evaluate the mediation effect.
Results
Findings indicate a significant negative direct association of pollution with life satisfaction, with an association strength of -0.55(95%CI:-0.75 to -0.35, p < 0.001), and on health, with an association strength of -0.05(95%CI:-0.07 to -0.05, p < 0.001). Additionally, the mediation analysis, supported by the Sobel-Goodman Mediation Test (Z = -4.298, p < 0.001), reveals that health mediates 12.9% of the total impact of indoor pollution on life satisfaction.
Conclusions
These results underscore the critical role of health as a mediator in this relationship. Interventions aimed at reducing indoor air pollution could significantly enhance the well-being of older adults by improving their health.
Economic and Environmental Competitiveness of Multiple Hydrogen Production Pathways in China
Authors: Sun Bo , Fan Guangyao , Zhang Hui , Pan Fengwen 
Published: July 2024

Abstract

This study quantifies the levelized cost of hydrogen (LCOH) and life cycle carbon emissions (LCCE) of four hydrogen production systems via water electrolysis in 31 provinces and regions of China through the optimization method, and compares with hydrogen production via coal, natural gas, and industry by-products. The results show that the grid-connected hydrogen production system via water electrolysis, which has low-carbon advantages only in specific provinces, and time-of-use electricity prices can improve its economic competitiveness. The off-grid hydrogen production system via water electrolysis can achieve near-zero carbon emissions, although significant investment is brought by configuring larger capacities for electricity energy storage and hydrogen storage tank. In 2045–2050, it will become the most economical pathway to produce hydrogen, certain carbon reduction incentives or production subsidy may enable this to happen 5–15 years earlier. Before then, hydrogen production via industry by-products is a good alternative for the development of hydrogen energy.
The role of the chemotactic cytokines in in tick-borne encephalitis – the observational clinical study
Authors: Grygorczuk Sambor , Czupryna Piotr , Martonik Diana , Parfieniuk-Kowerda Anna , Adamczuk Justyna , Dunaj-Małyszko Justyna , Giecko Maciej , Osada Joanna , Parczewski Miłosz , Flisiak Robert , Moniuszko-Malinowska Anna 
Published: July 2024

Abstract

Background
In tick-borne encephalitis (TBE), central nervous system is infiltrated by a mixed leukocyte population detectable as cerebrospinal fluid (CSF) pleocytosis, contributing both to an infection control and immune-mediated pathology. The chemotactic pathways controlling this leukocyte influx are not well defined.
Results
We studied serum and CSF samples from 103 TBE patients, using normal serum (n=19) and CSF (n=12) as controls. We measured concentrations of the chemotactic cytokines IL-16, CXCL1, CXCL2, CXCL5, CXCL6, IL-8, CXCL9, CXCL10, CXCL11, CXCL13, CCL2, CCL3, CCL4, CCL5, CCL7, CCL8, CCL11, CCL13, CCL17, CCL19, CCL20, CCL21, CX3CL1 and XCL1 with a micro-bead assay and of CXCL12 with ELISA. The CSF lymphocyte subpopulations were counted cytometrically with a fluorescent-labeled monoclonal antibody kit. DNA was isolated from patients’ blood samples and 10 polymorphisms in CCR2, CCL5, CCR5, CXCR3, CXCL10, CXCL11 and CX3CR1 genes studied with real-time PCR. We analyzed results with non-parametric tests and created multivariate linear regression models of leukocyte population counts in CSF and of the clinical severity dependent on chemokine CSF levels.
Except of CXCL2, CCL5 and XCL1, all the CSF chemokine concentrations were increased and the concentration index values favored their intrathecal synthesis. CXCL1, IL-8, CXCL10, CCL2, CCL3, CCL19 and CCL20 created chemotactic gradients towards CSF in 90-100% and CCL4, CCL7, CCL8 in about half of patients. The neutrophils associated predominantly with CXCL1 and IL-8 and the lymphocytes with IL-16, CCL19, CCL20, CCL4, CXCL12 and CXCL13, with consistent negative associations with CX3CL1 and CCL2. CCL11, CCL19, CXCL10 and CXCL13 associated with milder and CXCL1 and CCL20 with a more severe presentation. There were associations between the genotypes of CCR2, CCL5, CXCR3 and CX3CR1 and concentrations of the relevant chemokines.
Conclusions
CXCL1/CXCR2, IL-8/CXCR1, CCL19/CCR7, CCL20/CCR6, CCL4/CCR5, CXCL12/CXCR4, CXCL13/CXCR5 and possibly other signaling axes contribute to pleocytosis in TBE. IL-16 associates with pleocytosis in an unclear mechanism and CX3CL1 may be an antagonist of the leukocyte influx. The protective/immunopathogenic effects of chemokines are can be distinguished from their chemotactic effects, suggesting a complex relation between the inflammatory infiltrate and the clinical outcome. The genetic background influences chemokine expression in TBE.
Role of intraoperative ultrasound and MRI to aid grade of resection of pediatric low-grade gliomas. Accumulated experience from 4 centers
Authors: Dietvorst Sofie , Narayan Armen , Agbor Cyril , Hennigan Dawn , Gorodezki David , Bianchi Federico , Mallucci Conor , Frassanito Paolo , Padayachy Llewellyn , Schuhmann Martin Ulrich 
Published: July 2024

Abstract

Purpose
Pediatric low-grade gliomas (pLGG) are the most common brain tumors in children and achieving complete resection (CR) is the most important prognostic factor. There are multiple intraoperative tools to optimise the extent of resection (EOR). This article investigates and discusses the role of intraoperative ultrasound (iUS) and intraoperative magnetic resonance imaging (iMRI) in the treatment of pLGG.
Methods
The tumor registries at Tuebingen, Rome and Pretoria were searched for pLGG with the use of iUS and data on EOR. The tumor registries at Liverpool and Tuebingen were searched for pLGG with the use of iMRI where preoperative CR was the surgical intent. Different iUS and iMRI machines were used in the 4 centers.
Results
We included 111 operations which used iUS and 182 operations using iMRI. Both modalities facilitated intended CR in hemispheric supra- and infratentorial location in almost all cases. In more deep seated tumor location like supratentorial midline tumors, iMRI has advantages over iUS to visualize residual tumor. Functional limitations limiting CR arising from eloquent involved or neighboring brain tissue apply to both modalities in the same way. In the long-term follow-up, both iUS and iMRI show that achieving a complete resection on intraoperative imaging significantly lowers recurrence of disease (Chi-square test, p < 0.01).
Conclusion
iUS and iMRI have specific pros and cons, but both have been proven to improve achieving CR in pLGG. Due to advances in image quality, cost- and time-efficiency, and efforts to improve the user interface, iUS has emerged as the most accessible surgical adjunct to date to aid and guide tumor resection. Since the EOR has the most important effect on long term outcome and disease control of pLGG in most locations, we strongly recommend taking all possible efforts to use iUS in any surgery, independent of intended resection extent, and iMRI if locally available.
FedGAC: Optimizing Generalization in Personalized Federated Learning via Adaptive Initialization and Strategic Client Selection
Authors: Yu Yichun , Yang Xiaoyi , Chen Zheping , Lan Yuqing , Xing Zhihuan , Yu Dan 
Published: July 2024

Abstract

Federated learning (FL) encounters significant challenges in heterogeneous client environments, due to statistical heterogeneity affecting the global model’s generalization. To address these issues, we introduce FedGAC, an efficient adaptive personalized FL (pFL) method focused on critical learning periods (CLP). Unlike existing methods that assume all training stages are equally critical and require participation from all clients, FedGAC strategically select clients during CLP to reduce computational and communication burdens. To enhance the global model’s generalization across statistically diverse clients, we integrate an Adaptive Initialization of Local Models (AILM) module with a personalized aggregation strategy. Training parameters are dynamically adjusted according to dataset quality, ensuring both accuracy and efficiency. Additionally, FedGAC employs parameter compression techniques to further reduce communication and computational costs. We validate the effectiveness of FedGAC through extensive experiments on four benchmark datasets in computer vision. The results demonstrate that FedGAC significantly enhances both accuracy and communication efficiency compared to state-of-the-art FL methods. This makes FedGAC a promising approach for addressing heterogeneity in pFL. The code is available at https://github.com/buaaYYC/FedGAC.git.
Anticancer Effects of Plantago major Extract on Colorectal and Gastric Cancer Cell Lines: An in vitro Study and Molecular Docking Analysis
Authors: Ozturk Rabia Yilmaz , Calik Hilal , Demir Ayhan , Cakir Rabia 
Published: July 2024

Abstract

Colorectal cancer and gastric cancer are one of the most prevalent types of cancer and are leading causes of cancer-related mortality worldwide. The efficacy of chemotherapy is insufficient due to the poor targeting and affinity of drugs, low therapeutic effectiveness, significant side effects, and emergence of drug resistance. Consequently, the development of effective therapeutic formulations is a crucial research area for the treatment of colorectal and gastric cancers. Plantago major (P. major) is a medicinal plant that has been investigated for medical research for cancer therapy owing to its rich phytochemical composition, including aucubin, luteolin, baicalein, apigenin, and caffeic acid derivatives. This study aims to evaluate the antiproliferative activity of P. major herbal extract on NIH/3T3 fibroblast cells, AGS gastric, and Caco-2 colorectal cancer cell lines for 24 hours using XTT cell viability assay. Additionally, it assesses the interaction and binding affinities of the active compounds of P. major with the overexpressed EPCAM through molecular docking. The results demonstrate a dose-dependent anticancer effect of P. major on AGS and Caco-2 cell lines by reducing cell proliferation, increasing intracellular ROS accumulation and activating caspase 3/7 apoptosis pathway. P. major exhibited no significant cytotoxic effects on non-cancerous NIH/3T3 fibroblast cells. Molecular docking analysis confirmed the high binding affinity of active compounds in P. major extract, such as apigenin, aucubin, baicalein, caffeic acid, and luteolin, towards the EpCAM protein overexpressed in gastric and colorectal cancer. In conclusion, the P. major extract can be a promising effective therapeutic strategy for gastrointestinal cancers.
Sequencing depth (coverage) can bias microbial intraspecies diversity estimates and how to account for it
Authors: Bustos-Caparros Esteban , Viver Tomeu , Gago Juan , Venter Stephanus , Bosch Rafael , Konstantinidis Konstantinos T. , Rodriguez-R Luis , Rossello-Mora Ramon 
Published: July 2024

Abstract

Unbiased estimation of intraspecific microdiversity is key for many microbiome studies. While it is well-appreciated that coverage (or sequencing depth) below 10X can provide biased estimates of microdiversity due to random sampling of alleles, the impact of variable coverage exceeding 10X on such estimates remains essentially unknown. Here we show that this impact is significant, even at coverage levels of > 100X, and provide approaches to effectively deal with this bias.
Pursuing carbon neutrality by smallholder farmers through technology and policy innovation blocs
Authors: Zhang Weifeng , Li Bei , Li Jinghan , Yu Zhiwei , Xu Yang , Li Tingyu , Zhang Xin , Liu Jianguo , Zhuang Minghao , Tian Jing , Li Yangyang , Duan Zhiping , Zhang Fusuo 
Published: July 2024

Abstract

Carbon peak and carbon neutrality are the top priorities for global sustainability1,2. However, the optimal strategy is unclear because minor attention has been given to smallholder farmers' activities. This study used farming data from 4547 smallholder farmers in 356 smallholder communities across China and life cycle assessment methods to evaluate carbon mitigation progress on three major grain crops in China between 2009 and 2019 and the carbon neutrality strategy for 2030 and 2060. The results showed that small farmers in China changed their practices of farming, i.e., from straw burning to straw retention in the soil between 2009 and 2019. These significant changes decreased the three crops' greenhouse gas (GHG) emission intensities by 56.2%. The estimated GHG mitigation at the national scale was 617 Tg CO2-eq in the ten-year period. The national actions for controlling straw burning were driven by the two-wheel innovation of technologies and policies. However, other low-carbon technologies have yet to be widely adopted due to insufficient innovations and have contributed less or even more negatively to carbon neutrality. Therefore, the current staple grain production system is still a net emitter. By transferring the successful approach from no straw burning to other farming practices, including nutrient management, tillage, irrigation, non-flooded aerobic rice and closing the yield gap, could lower the GHG intensity to -0.16, -0.16, -0.11 t CO2-eq t-1 for rice, wheat, and maize, respectively, achieving carbon neutrality in 2060. This research also implies that the involvement of multiple factors through integrated policies and technological innovation is critical to achieving carbon neutrality in grain production.