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A novel analytical approach to design horizontal well completion using ICDs to eliminate heel-toe effect
Requirements for nuclear GRP78 transcriptional regulatory activities and interaction with nuclear GRP94
Correction: Relationships between multivitamins, blood biochemistry markers, and BMC and BMD based on RF: A cross-sectional and population-based study of NHANES, 2017–2018
The study of miR-130a expression and its mechanism of action in peripheral blood endothelial progenitor cells (EPCs) in type 2 diabetes mellitus (T2DM)
Structural insight into the catalytic mechanism of the bifunctional enzyme l-fucokinase/GDP-fucose pyrophosphorylase
Unveiling the psychological traits of multi-marathoners: Insights from TIPI personality trait analysis
Objectives Multi-marathoners, athletes dedicated to completing 100 + marathons, represent a unique endurance sport subculture. This study examines their psychological traits using the Ten Item Personality Inventory (TIPI) and Latent Class Analysis (LCA) to identify personality-based profiles and subgroup differences. Methods An online cross-sectional survey of 593 multi-marathoners (56% men, 44% women, mean age = 53.87, SD = 9.91, countries = 22) collected TIPI data. Reliability was assessed using Cronbach’s Alpha and Guttman’s Lambda 6. Statistical analyses included Mann-Whitney U tests, ANOVA Aligned Rank Transform (ART), Wilcoxon post-hoc tests, and Spearman’s correlations to examine personality differences across gender, age and health variables. LCA identified distinct personality subgroups. Normative TIPI data served as a comparison benchmark. Results Multi-marathoners exhibited higher conscientiousness (F(1,591) = 2.42, p < 0.001) but lower emotional stability (F(1,591) = 5.525, p < 0.001) than the general population, suggesting strong goal-directed behaviour but challenges in stress management. Women showed higher agreeableness (W = 50809, p < 0.00091), while age-related differences were not statistically significant. LCA revealed four personality-based subgroups, including those with high resilience and others with health vulnerabilities. Conclusion Multi-marathoners display distinct psychological traits, particularly high conscientiousness and lower emotional stability. These findings highlight the need for tailored psychological interventions to support multi-marathon athletes' participation and well-being. Future research should explore longitudinal patterns and explore the efficacy of psychological interventions to enhance participation and well-being.
Prevalence and determinants of neonatal infections in Benin based on a retrospective study in six reference hospitals
The structural basis of TRIM25-mediated regulation of RIG-I
Can we use lower extremity joint moments predicted by the artificial intelligence model during walking in patients with cerebral palsy in the clinical gait analysis?
Several studies have highlighted the advantages of employing artificial intelligence (AI) models in gait analysis. However, the credibility and practicality of integrating these models into clinical gait routines remain uncertain. This study critically evaluates an AI model’s ability to predict lower extremity joint moments during gait in patients with cerebral palsy (CP). We employed a three-step approach to assess the feasibility of a previously developed AI model that predicted joint moments during walking for 622 patients with CP, using joint kinematics as input. First, we established clinically relevant thresholds for lower extremity joint moments, categorizing into three labels: acceptable (Green), acceptable with caution (Yellow), and unacceptable (Red). This categorization was based on the normalized root mean square error (nRMSE) between lab-measured and predicted joint moments. We explored the relationship between gait kinematics and joint moments by correlating the kinematic inputs with their respective output labels. Finally, we developed a linear discrimination analysis (LDA) model to predict labels for newly predicted joint. Assessing the validity of thresholds, an ANOVA one-way analysis and Bonferroni post-hoc statistical tests were performed to find significant differences between the nRMSE values for each label. The hip joint exhibited the largest population of Green labels (84%), while the ankle joint had the smallest (50%). Regressive differences in joint kinematics and gait profile scores were observed across all labels. The LDA model achieved an accuracy of 85.2% and an F-score of 92% for predicting Green label in hip joint moment. Additionally, more severe patient conditions were associated with an increase in Red-labeled predictions. Our findings highlight significant differences in nRMSE among labels, demonstrating the effectiveness of the proposed thresholds for labeling joint moments. Overall, the AI model’s performance was rated as moderate, and the three-step approach proved valuable for assessing the feasibility of AI models in clinical settings.
ID-insensitive deepfake detection model based on multi-attention mechanism
Upregulation of the interferon-inducible antiviral gene RSAD2 in neuroendocrine prostate cancer via PVT1 exon 9 dependent and independent pathways
Predictive factors for readmission due to neonatal hyperbilirubinemia: A retrospective case-control study
Objective Hyperbilirubinemia is a common cause of hospital readmission among neonates, but the factors contributing to post-discharge readmission remain unclear. Our study aimed to identify predictive factors associated with readmission for neonatal hyperbilirubinemia. Methods This retrospective case-control study included 421 neonates born at ≥ 35 weeks of gestation with hyperbilirubinemia between January and December 2021. The neonates were divided into a readmission group and a control group, and logistic regression was used to identify predictive factors associated with readmission. Results Among the 421 neonates studied, 32 (7.6%) were readmitted. Logistic regression analysis identified preterm birth (<37 weeks), ABO hemolysis, Glucose-6-Phosphate Dehydrogenase (G6PD) deficiency, and Total Serum Bilirubin (TSB) level at discharge as significant predictive factors for readmission due to hyperbilirubinemia in newborns. Additionally, a decrease in birth weight was significantly linked to an increased risk of readmission (OR = 0.998, P = 0.013), although the effect size was relatively small. Conclusions Prolonging hospitalization and implementing robust post-discharge monitoring may be essential for neonates with prematurity, ABO hemolysis, G6PD deficiency, or elevated TSB levels at discharge.
Development of non-OPC binder using fly ash, limestone powder, gibbsite powder, and biomass ash for workability, strength, and CO2 capture
Dynamic changes and metabolic function of intestinal flora in patients with postoperative pneumonia after lung cancer surgery
Background Postoperative pneumonia (POP) is the most prevalent postoperative complication following lung cancer surgery. It is a crucial factor that influences surgical success and the rapid recovery of patients. Studies on the gut-lung axis have suggested that changes in the structural and functional aspects of intestinal flora are implicated in the incidents and development of pulmonary infection. This study aims to reveal the dynamic changes and metabolic function of intestinal flora in lung cancer patients with POP, with the ultimate goal of providing novel insights and targets for the prevention and treatment of POP. Methods This study includes three groups: healthy control group, lung cancer with POP group, and lung cancer without POP group. We collected stool samples from healthy individuals, preoperative and first post-infection stool samples from the POP group, and preoperative and first postoperative stool samples from the non-POP group. The hypervariable V3-V4 regions of 16S rRNA gene were sequenced using Illumina MiSeq high-throughput sequencing technology. Results The alpha diversity index was lower in the POP group than in the healthy group, the beta diversity index was also different between the two groups (P < 0.05). Eggerthella, Coprobacillus, and Peptostreptococcus were abundant in the intestinal tracts of the POP group in preoperative and postoperative infections. There was a decrease in the abundance of beneficial genera such as Blautia and an increase in the abundance of pathogenic or opportunistic pathogens such as Bacteroides. The phosphatidylinositol signaling system abundance increased, whereas the abundance of phenazine, phenylalanine, tyrosine, and tryptophan biosyntheses was reduced in the POP group during postoperative infection. Conclusion Patients with POP after lung cancer surgery have a distinct spectrum of intestinal flora. The intestinal flora displays a reduction in diversity and an increase in the presence of potential pathogenic bacteria, which impact metabolic functions.
Evaluation of comprehensive benefits and the degree of coupling coordination for soil health products: a case study in Weifang City, China
Correction: Radiomics-based machine learning for automated detection of Pneumothorax in CT scans
Carbon footprint assessment and reconstruction redesign of recycled discarded military training uniforms
Abstract In response to the problem of resource waste and environmental pollution caused by the large amount of waste textiles in China, taking waste military training uniforms as an example, a thorough investigation was conducted to draw a life cycle diagram of military training uniforms, establish a recycling system for waste military training uniforms, and use Taiyuan University of Technology as a pilot for recycling. The carbon footprint of different recycling methods was calculated. A systematic method for the reorganization and redesign of discarded clothing, starting from clothing styling, has been developed. Utilizing discarded military training uniforms and other discarded textiles, practical applications have been completed in seven aspects: silhouette, style, segmentation, clothing components, adding decorations, removing decorations, and Completely redesigned. Finally, based on the problems encountered during the pilot recycling and the insights gained from the restructuring and redesign, a derivative theoretical study was completed. Through the study of the carbon footprint of clothing lifecycle and recycling stages, the importance of reusing discarded clothing has been clarified in the form of data. The innovative “1A2B3C” principles for the recycling and redesign of discarded clothing have been proposed, providing a solid theoretical basis and practical experience for the secondary transformation of discarded clothing. The reuse of discarded military training uniforms has been promoted, and the lifecycle of military training uniforms has been extended from the source of the masses.
Circadian clock communication during homeostasis and ageing
Comparison of HIV prevention indicators among adolescent girls and young women in DREAMS and non-DREAMS intervention districts in Uganda
In sub-Saharan Africa, a significant number of new human immunodeficiency virus (HIV) infections occur among adolescent girls and young women (AGYW). The 2023 Uganda Annual Spectrum estimates indicated that about one-third of all new HIV infections are among AGYW. In 2016, the Ministry of Health in partnership with the United States President’s Emergency Plan for AIDS Relief (PEPFAR) initiated the Determined, Resilient, Empowered, AIDS-Free, Mentored and Safe (DREAMS) program to reduce the vulnerability of AGYW to HIV by offering various direct and indirect HIV-related prevention services. These services influence the level of various HIV prevention indicators in the age group. This study aimed to compare these levels. The study was a secondary analysis of pooled Lot Quality Assurance Sampling (LQAS) survey data collected in DREAMS and non-DREAMS districts during 2021 and 2022. Fifteen HIV prevention indicators were independently compared between 8 DREAMS and 8 non-DREAMS districts. Chi-square tests were used to assess the significance in the differences. Of the 9,290 records of AGYW reviewed, 52.40% were of AGYW residing in DREAMS districts. Between DREAMS and non-DREAMS districts, significant differences in level of knowledge of HIV prevention methods (25.60% versus 14.63%, p < 0.001), condom use (58.99% versus 48.33%, p < 0.001), knowledge of HIV testing points (93.43% versus 92.38%, p = 0.049), having multiple sex partners (15.28% versus 10.11%, p < 0.001), condom use (58.99% versus 48.33%, p < 0.001), HIV testing (84.86% versus 82.00%, p < 0.001) and multiple sex partners (15.28% versus 10.11%, p < 0.001) among other indictors. AGYW in DREAMS districts had better outcomes for all indicators except multiple sex partners. Although this factor likely contributed to the initial selection of DREAMS-intervention districts, its persistence may continue to influence overall efforts towards the reduction of HIV prevalence. Moreover, this potentially mitigates the benefits from other better performing indicators.