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Optimization of ecological and efficient restoration technology for green mines based on hesitant fuzzy TOPSIS
Relationship between right and left ventricle function in subjects free of cardiovascular diseases: a population-based MRI study
Abstract Right (RV) and left ventricular (LV) volumetric measurements by cardiac magnetic resonance imaging (MRI) are established for assessing systolic and diastolic function, but the role of MRI-derived lung volumes in LV function remains unclear. This study investigated the relationship between RV and LV function, considering lung volumes. In the KORA-MRI cohort, 361 subjects underwent 3 T whole-body MRI. Cardiac functional parameters were measured from cine-steady-state free precession sequences using cvi42. Lung volumes were derived semi-automatically with an in-house algorithm. Linear regression analyses assessed RV-LV relationships, adjusted for age, sex, cardiovascular risk factors, and lung volumes. Among 361 subjects (mean age 56.1 ± 9.1 years; 43% women), RV end-diastolic volume was positively associated with LV end-diastolic (β = 28.1, p < 0.001), end-systolic (β = 11.0, p < 0.001), and stroke volume (β = 17.0, p < 0.001), but inversely with ejection fraction (β = -1.4, p = 0.001). RV end-systole was positively associated with LV end-diastolic (β = 21.2, p < 0.001), end-systolic (β = 11.5, p < 0.001), stroke volume (β = 9.7, p < 0.001), and inversely with ejection fraction (β = -3.3, p < 0.001). Adjusting for lung volumes did not alter RV-LV associations, and no effect modification by sex was observed despite lung volume differences. In individuals without cardiovascular disease, RV and LV volumetric parameters were strongly associated, supporting the critical role of RV function in LV function, independent of lung volumes.
Microscopic insights to the ultralow thermal conductivity of monolayer 1T-SnTe2
Effect of online digital storytelling on the comprehension of authentic listening materials and engagement of junior high school EFL learners
Potential predictors of COVID-19 disease infection and severity in Egypt
Abstract This study aimed to detect the changes in certain immunological parameters and miRNAs in COVID-19 cases with various degrees of disease severity and compare these changes in cases to healthy controls. This study was conducted on 45 COVID‐19 patients and 45 healthy controls. The flow cytometry was conducted to study the number of CD4 + and CD8 + T cells and evaluate the level of the PD-1 marker on their surfaces for all study participants. The determination of IL-1β and IL-6 in serum for all study subjects was done by ELISA test. Relative gene expression quantitation of miR-146a and miR-133a was performed by reverse transcriptase real-time PCR (RT-PCR). The numbers of CD4 + and CD8 + T cells were dramatically reduced in COVID-19 patients, especially in severe to critical patients, with an increase in the CD4 + :CD8 + ratio. T cells from COVID-19 patients had significantly higher levels of the exhausted marker PD-1. Measurement of IL-1β and IL-6 serum levels among cases group showed a highly significant increase in their mean concentration levels in comparison with the control group. Studying the difference in serum levels of IL-1β and IL-6 among different degrees of disease severity showed a significant decrease in their mean concentration levels among the mild to moderate group in comparison with the severe to critical group. The results also showed a significant decrease in miR-146a and a significant increase in miR-133a expression in COVID-19 patients compared to healthy controls. Reduced T cell counts, increased CD4 + :CD8 + ratio, higher levels of the PD-1 marker, elevated serum levels of the pro-inflammatory cytokines, and decreased miR-146a and increased miR-133a gene expressions could be used as potential markers in the assessment of COVID-19 infection and severity.
3D LineExplore: a 3D line exploration method for multi-layer PCB geometric routing
Impact assessment of the transported load mass on the lateral dynamics of a light delivery vehicles
Seasonal dynamics and core stability of the bacterial microbiome of a Drosophila suzukii wild population
Abstract Drosophila suzukii (spotted-wing drosophila, SWD) is an invasive pest with pronounced sexual dimorphism and seasonal polyphenism. While seasonal morphotypes are well documented, how these phenotypic traits shape the SWD microbiome remains poorly understood. Here, we investigate how sex and seasonal phenotypes shape microbiome composition in SWD. We hypothesize that these factors drive microbial shifts, with some taxa varying between phenotypes and others forming a stable core. Understanding these patterns may reveal microbiome-associated adaptations relevant to SWD ecology and management. To investigate this, we monitored SWD microbiome dynamics over one year by collecting individuals during spring, summer, and autumn of 2022 and winter of 2023 from an organic farm in northern Portugal. Bacterial communities were compared using 16 S rRNA amplicon sequencing. This SWD population retained a core bacterial community, highly represented by Gluconobacter , Pseudomonas , Commensalibacter and Pantoea , consistent with other SWD Portuguese populations. Moreover, microbiome composition varied significantly across seasons but not between sexes, although females exhibited higher microbial alpha diversity. Linear discriminant analysis of relative abundance (LEfSe) revealed enrichment of Morganella , Methanosaeta , Serratia , Duganella , Frateuria , Suttonella , and Janthinobacterium in winter groups. However, functional prediction analyses revealed no significant differences in microbiome functional potential across seasons, suggesting functional redundancy despite taxonomic variation. This study offers baseline insights into the seasonal stability and plasticity of the D. suzukii microbiome, contributing to a deeper ecological understanding of this invasive pest.
Schrödinger’s cat just got bigger: quantum physicists create largest ever ‘superposition’
Geospatial hotspots and neighbourhood deprivation associated with unintentional home injuries in British Columbia, Canada
Extreme barocaloric effect at dissolution
A hybrid CNN and reinforcement learning framework for speaker identification using Mel-Spectrogram and continuous wavelet transform features
Choice of lipid supplementation for in vitro erythroid cell culture impacts reticulocyte yield and characteristics
Abstract Lipids, particularly cholesterol, are critical components of red blood cell (RBC) membranes, influencing protein function, cell stability, and deformability. Reticulocytes (young RBC) derived from in vitro erythroid cultures have been reported to possess less cholesterol than their native counterparts, compromising their functional integrity and lifespan. However, variability in starting materials and culture protocols between studies has hindered definitive conclusions regarding the nature and consequences of this lipid deficiency. Here, we evaluated the influence of lipid sources on reticulocyte quality using a well-established CD34⁺ erythroid culture system. We compared the use of human AB serum and Octaplas (solvent/detergent (S/D)-extracted pooled plasma) as lipid sources. Our results reveal that S/D-extracted plasma leads to cholesterol-deficient reticulocytes with impaired characteristics, including reduced filtration yield, heightened osmotic fragility, and altered PIEZO1 activity. In contrast, AB serum supported the generation of functionally stable reticulocytes, with cholesterol supplementation required to rescue the majority of defects observed with culturing erythroid cells with plasma alone. Importantly, this study provides the first integrated lipidomic, metabolomic, and proteomic characterisation of in vitro -derived reticulocytes cultured under distinct lipid conditions. These multi-omic datasets offer new insights into the consequences of reduced lipid availability during erythroid culture and offer new insights into how culture media affects the development and functionality of lab grown blood.
Bacterial genome reconstruction and community profiling in Neotropical Drosophila
Abstract Drosophila species serve as key models for microbiota research due to their relatively simple microbial communities. However, microbial diversity and dynamics in Neotropical Andean Drosophila remain underexplored. Here we applied shotgun metagenomics to characterize the microbiota of 24 Neotropical Drosophila species from Ecuador, reconstructing 64 high-quality bacterial genomes predominantly from Acetobacteraceae and Enterobacterales. Microbial communities were consistently dominated by yeasts, lactic acid bacteria, acetic acid bacteria, and Wolbachia . Comparative analyses revealed no strong correlation between host phylogeny and microbial community composition, suggesting environmental factors and microbial interactions shape these communities. Notably, shifts in relative abundances indicate dynamic ecological succession and metabolic cooperation among microbes. These findings expand genomic resources for Drosophila -associated bacteria and highlight the complex ecological processes influencing host–microbiota relationships in natural populations.