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Retraction: Global incidence and mortality of childhood leukemia and its relationship with the Human Development Index
Performance evaluation and environmental sustainability assessment of ferrock-infused concrete
The shaping of adolescent physical activity habitus: The role of family sports culture
Based on Bourdieu’s habitus theory, this study revealed the connotation, function, and shaping mechanism of physical activity habitus. Utilizing a stratified random cluster sampling survey conducted across 16 public undergraduate universities in Chongqing, China, the data were quantitatively analyzed using factor analysis and OLS regression analysis models to explore the impact of family sports culture on the formation of adolescent physical activity habitus in primary school, middle school, and high school. The study constructed two main dimensions of adolescent physical activity habitus: self-report physical behavioral capacity and physical behavioral inclination. Further research indicates that family sports culture may maintain a certain correlation with the two dimensions of adolescents’ physical activity habits throughout their entire educational trajectory. Moreover, it is noteworthy that factors such as family economic status, paternal education level, gender, and urban-rural disparities appear to demonstrate weaker associations with adolescents’ physical activity habits when compared to the influence of family sports culture. In conclusion, this study suggests that family sports culture during the primary school stage may represent a potentially critical factor in shaping adolescents’ physical activity habits. Therefore, it is imperative for all sectors of society to pay more attention to the construction of family sports culture.
The influence of carbon fiber arrangement in phenol-formaldehyde resin on the thermal resistance of the composite - 1
Lack of association between loneliness, social isolation and inflammation in people living with HIV aged ≥50 years: Results from the sub-study “No One Alone-Gesida Study”
Introduction Inflammation is linked to multiple health conditions. Emerging evidence suggest it may play a role in the association between social isolation – loneliness and health outcomes. People living with HIV (PLWH) exhibit chronic inflammation even with viral suppression, likely due to ongoing immune activation. However, few studies have explored inflammatory biomarker in PLWH experiencing loneliness or social isolation. This study aimed to assess this association in PLWH aged 50 or older.
Quality and accuracy of scoliosis-related short videos on TikTok reviewed in China in August 2025
Enhanced sparrow search algorithm with DV-Hop for high-precision fire sensor localization in underground spaces
Fire monitoring in underground spaces is critical for emergency response, yet traditional localization methods like DV-Hop suffer from significant localization errors due to hop count ambiguity and premature convergence in optimization. To address these issues, we propose an Enhanced Sparrow Search Algorithm with Improved DV-Hop (ESSADV-Hop) method. The method incorporates a golden ratio-based communication radius division strategy to refine hop count granularity and an enhanced sparrow search algorithm with Gaussian perturbations to escape local optima. Experimental results show that ESSADV-Hop reduces the average localization error by 55.7% compared to DV-Hop (from 0.2910 to 0.1288) and outperforms other variants by 11.74%∼23.05% in accuracy, demonstrating its effectiveness for fire sensor localization in complex underground environments.
Immunomodulatory, antioxidant, and growth-promoting properties of Avicennia marina leaf extract on Nile tilapia
Abstract This study evaluated the effects of Avicennia marina leaf aqueous extract on Nile tilapia performance. Fish (5.15 g, n = 675) were fed diets containing 0, 100, 200, 300, and 400 mg/kg extract for 60 days. Fish fed 200–300 mg/kg diets showed better growth status ( P < 0.05), along with improved feed utilization. Digestive enzyme levels (amylase, lipase, protease) were better, and intestinal histomorphology was optimized, particularly at 200–300 mg/kg. Biochemical assessment of the serum indicated increased levels of total protein, albumin, and globulin, with reduced glucose, cholesterol, and cortisol in fish receiving 200–400 mg/kg. Hepatic antioxidants (SOD, CAT, GSH-Px) increased, while malondialdehyde (MDA) decreased. Immune responses (lysozyme, NBT reduction, Streptococcus agalactiae inhibition) were enhanced, and gene expression showed upregulated IGF-1 , SOD , CAT , and GSH-Px with downregulated IL-1β and TNF-1α in the 200–400 mg/kg groups. Dietary A. marina extract at 200–300 mg/kg enhanced growth, digestive efficiency, antioxidant status, immune functions, and gene expression in Oreochromis niloticus , suggesting its promise as a natural feed additive in aquaculture.
Multi-omics analysis reveals diagnostic and therapeutic biomarkers for aging phenotypes in ulcerative colitis
Background The incidence of ulcerative colitis (UC) remains high, with an increasing prevalence among elderly patients. Cellular senescence has been widely recognized as a contributor to UC susceptibility; however, the underlying molecular mechanisms remain incompletely understood. This study aimed to identify senescence-associated biomarkers in UC to provide new insight for diagnosis and treatment. Methods By integrating transcriptomic data from UC patients with established aging-related databases, we identified aging-associated differentially expressed genes (DEGs). Using weighted gene co-expression network analysis (WGCNA) and Cytoscape, we pinpointed the core genes involved. A diagnostic model for UC was then developed based on these core genes, and their expression patterns were characterized at single-cell resolution. The roles of these genes were ultimately validated through in vitro and animal experiments. Results We identified 24 aging-related DEGs in UC, which were primarily implicated in inflammatory responses and cytokine-receptor interactions. Further analyses pinpointed three core genes (CXCL1, MMP9, and STAT1) that were predominantly expressed in macrophages. A diagnostic model constructed using these genes exhibited robust predictive performance. Experimental validation confirmed that the expression levels of all three core genes were significantly upregulated in both a UC mouse model and in macrophages compared to controls. Additionally, pathway analyses revealed elevated levels of CXCL12 and VEGFA in the enriched pathways. Discussion Our findings underscore the pivotal roles of CXCL1, MMP9, and STAT1 in UC-associated cellular senescence. The analysis positions these molecules as promising macrophage-mediated diagnostic biomarkers and therapeutic targets. Collectively, this work provides novel insights into UC pathogenesis and lays a foundation for developing precision medicine strategies that target senescence pathways.
Associations between expectations and responses to chronic resistance exercise in young adults with and without analogue generalized anxiety disorder
Analyses of the roles and potential targets of m7G-related genes in colorectal cancer using single-cell and bulk RNA sequencing data
Background The pathogenesis of colorectal cancer is complex and difficult to treat, and there is a risk of metastasis and recurrence. m7G modification as a kind of RNA modification has been widely concerned in the field of tumor. However, there are few research in the field of CRC. This study aims to elucidate the effects of m7G modification on CRC from the perspective of single cell transcriptome and search for potential therapeutic targets. Methods We downloaded the single cell dataset using the GEO database and processed the data using the Seurat R package. gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used to analyze differential genes. CellChat is used for cell communication analysis. NMF differentiates subtypes. CIBERSORT and xcell are used to analyze immune cells. Lasso COX regression was used to search for hub genes. We explored the biological functions of NUDT10 utilizing biological experiments. Results Most m7G-related modification genes were significantly higher in expression in tumor tissues compared to normal tissues, primarily within epithelial cells. The DEGs of m7G-related genes expressed were mainly enriched in inflammation and metabolic pathways. NCBP2 and EIF3D could promote the occurrence and development of malignant epithelial tumor cells. In cellchat, m7G-related genes high group showed stronger interactions. m7G also affects tumor immune microenvironment and metabolism. In addition, seven genes were chosen for prognostic model construction. Biological experiments have demonstrated that NUDT10 promotes CRC progression. Conclusion This research revealed tumor growth and microenvironment changes mediated by m7G modification and constructed a prognostic model based on the hub genes, which will guide further exploration of m7G modification.
Development of a digital image analysis system for objective evaluation of treatment response in cellulitis
Fertilization reduces aphid population growth but does not alter competitive exclusion between specialist and generalist species
Understanding how resource availability shapes herbivore competitive interactions is crucial for predicting pest dynamics under changing agricultural practices. Interspecific competition among herbivorous insects is mediated by host plant quality, yet mechanisms underlying competitive outcomes under varying nutrient conditions remain unclear. We investigated how fertilization with a liquid N–P–K (5:8:12.5) solution diluted to 0.2% (v/v) affects population dynamics and competitive interactions between the legume-specialist Megoura crassicauda and the generalist Aphis craccivora on pea shoots ( Pisum sativum ) under fertilized and unfertilized conditions. Aphid population dynamics were monitored for 30 days in single-species and mixed-species treatments, and plant survival and biomass changes were assessed as whole-plant indicators of host performance under herbivory. Under single-species conditions, fertilization reduced M. crassicauda population growth (peak population decreased from 77.2 ± 28.6 to 50.7 ± 25.2 individuals per plant), while effects on A. craccivora were more modest (from 187.1 ± 48.0 to 141.6 ± 43.0). Area-under-the-curve analysis and peak abundance differed between species and were generally lower under fertilization. In mixed cultures, A. craccivora consistently dominated; M. crassicauda was excluded by day 25 under both nutrient regimes. Plants without aphids all survived, whereas mortality occurred in every aphid treatment except M. crassicauda with fertilization, indicating shorter survival times in aphid treatments than in controls. These results show that nutrient enrichment unexpectedly depressed herbivore population growth and did not relax interspecific competition. Competitive hierarchy was stable across nutrient regimes, with the generalist excluding the specialist.
Complexity analyses of geomagnetic and solar activity indices time series
Retraction: The association between mode of childbirth delivery and early childhood caries: A comprehensive systematic review and meta-analysis
Analysis of chromatin structure reveals the connection between sQTLs and the splicing of distant genes
Real-world optimization of tunnel lengths in tunneled peripherally inserted central catheters for cancer patients: A multi-center retrospective cohort study
Background Standardized guidelines for optimal tunnel length in tunneled peripherally inserted central catheters (PICCs) are lacking. Objectives The objective of this study was to evaluate the real-world impact of tunnel length on clinical outcomes. Methods This retrospective cohort study included 207 cancer patients who received tunneled PICCs, categorized into a control group (tunnel length > 4 cm, n = 134) and an observation group (tunnel length ≤ 4 cm, n = 73). Propensity score matching (PSM) was used to address baseline heterogeneity. Cox regression analyses were used to assess the risk of complication during a 120-day follow-up. Results Compared to the control group (tunnel length > 4 cm), the observation group (tunnel length ≤ 4 cm) had a significantly higher adjusted overall complication risk (HR = 2.92, 95% CI: 1.07–7.94, P = 0.036) and unplanned catheter removal rate (4.4% vs. 0.0%, P = 0.027), confirming the safety of longer tunnels despite comparable comfort levels between groups. After PSM, Cox regression analysis showed results consistent with those from the unmatched cohort. Subgroup analyses revealed a reduced risk of complications with longer tunnels in patients with BMI ≤ 25 kg/m² (HR = 0.29, 95% CI: 0.11–0.82), without hypertension (HR = 0.36, 95% CI: 0.13–1.00), without diabetes (HR = 0.38, 95% CI: 0.15–0.97), and with solid tumors (HR = 0.31, 95% CI: 0.11–0.85). Conclusion The results show that tunnel lengths > 4 cm reduce overall complications and prolong catheter retention, supporting the implementation of standardized protocols while advocating for personalized adjustments based on BMI, comorbidities, and cancer type.
A hybrid approach to Twitter sentiment analysis using integration of ESN ISPBO and BERT
An evaluation of Roluperidone as a promising repurposing candidate for Alzheimer’s Disease: A Computational Investigation
Alzheimer’s disease (AD) is the most dominant and prevalent form of dementia. The therapeutic agents for AD are not sufficient. Drug repurposing ( i.e., also called drug repositioning or therapeutic switching of drugs) could contribute to adding novel therapeutic agents in AD discovery pipeline. Blood-brain barrier (BBB) is a crucial factor, for brain’s diseases related drug discovery. Since, CNS active compounds have BBB crossing property, in this study this category of compounds was re-evaluated as repurposing potential candidate for AD by integrated machine learning algorithm, cheminformatics analysis, molecular Docking and simulation-based approach. We builded three machine learning model such as Support Vector Machine (SVM), Random Forest (RF), Extreme Gradient Boosting (XGB) for the prediction of AD potential repurposing candidates. The SVM classification model performed better than others. The SVM classification model achieved an Area Under the Curve of the Receiver Operating Characteristics (ROC-AUC) of 0.81, along with higher precision, recall, and F1 scores. The support vector machine (SVM) was implemented to classify 500 CNS active compounds as AD drug potential and non-AD drug potential. Using the SVM model, 60 compounds were predicted as AD repurposing potential from 500 CNS active compounds. Structural similarity analysis of 60 compounds with Donepezil as a reference drug was performed using 5 different types of fingerprints such as ‘substructure’, ‘extended’, ‘circular’, ‘EState’, ‘MACCS’. 9 compounds from them obtained as structurally most similar to the reference drug. After the molecular docking performance of 9 compounds into the active site & peripheral anionic site of human acetylcholinesterase (hAChE), it was revealed that Roluperidone’ had binding affinity of −12 kcal/mol, and ‘Napitane’ had binding affinity of −11.9 kcal/mol whereas the reference drug Donepezil had a binding affinity of −11.8 Kcal/mol. Molecular dynamics simulation revealed that Roluperionde had better binding integrity to hAChE. This study laid out computational reinvestigation of 500 CNS active drugs for therapeutic switching to AD, and ‘Roluperidone’ is found as an AD repurposing potential candidate. However, in-vitro and in-vivo studies are further needed to fully elucidate the compound’s potential as AD repurposing drugs.