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Fluid flow impacts endothelial-monocyte interactions in a model of vascular inflammatory fibrosis
Colorectal cancer detection with enhanced precision using a hybrid supervised and unsupervised learning approach
Rubber intercropping with arboreal and herbaceous species alleviated the global warming potential through the reduction of soil greenhouse gas emissions
Health literacy and influencing factors in university students across diverse educational fields in Kazakhstan
Pseudogenization of the Slc23a4 gene is necessary for the survival of Xdh-deficient mice
Characteristics of transition to turbulence in a healthy thoracic aorta using large eddy simulation
Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016
Abstract Metabolic syndrome (Mets) in adolescents is a growing public health issue linked to obesity, hypertension, and insulin resistance, increasing risks of cardiovascular disease and mental health problems. Early detection and intervention are crucial but often hindered by complex diagnostic requirements. This study aims to develop a predictive model using NHANES data, excluding biochemical indicators, to provide a simple, cost-effective tool for large-scale, non-medical screening and early prevention of adolescent MetS. After excluding adolescents with missing diagnostic variables, the dataset included 2,459 adolescents via NHANES data from 2007–2016. We used LASSO regression and 20-fold cross-validation to screen for the variables with the greatest predictive value. The dataset was divided into training and validation sets in a 7:3 ratio, and SMOTE was used to expand the training set with a ratio of 1:1. Based on the training set, we built eight machine learning models and a multifactor logistic regression model, evaluating nine predictive models in total. After evaluating all models using the confusion matrix, calibration curves and decision curves, the LGB model had the best predictive performance, with an AUC of 0.969, a Youden index of 0.923, accuracy of 0.978, F1 score of 0.989, and Kappa value of 0.800. We further interpreted the LGB model using SHAP, the SHAP hive plot showed that the predictor variables were, in descending order of importance, BMI age sex-specific percentage, weight, upper arm circumference, thigh length, and race. Finally, we deployed it online for broader accessibility. The predictive models we developed and validated demonstrated high performance, making them suitable for large-scale, non-medical primary screening and early warning of adolescent Metabolic syndrome. The online deployment of the model allows for practical use in community and school settings, promoting early intervention and public health improvement.
A cross-tissue transcriptome-wide association study identifies new susceptibility genes for benign prostatic hyperplasia
Branched-chain amino acids and specific phosphatidylinositols are plasma metabolite pairs associated with menstrual pain severity
Controlling the energies of the single-rotor large wind turbine system using a new controller
Personality traits of women with hereditary risk for breast/ovarian cancer versus obstetric history and cancer preventive behaviors
Abstract The aim of the study is to analyze the relationship between personality traits of women with hereditary predisposition to breast/ovarian cancer and their obstetric history and cancer-preventive behaviors. A total of 357 women, participants of ‘The National Program for Families With Genetic/Familial High Risk for Cancer’, were included in the study. The Neo Five-Factor Inventory (NEO-FFI) and a standardized original questionnaire designed for the purpose of the study were used. Breast ultrasound examination at a younger age was associated with Extraversion. Openness to Experience was linked with lower number of children, more frequent use of hormonal contraceptives, and younger age at first breast ultrasound examination. Women with higher Agreeableness scores were less likely to use contraceptives and underwent their first breast ultrasound later in life. Conscientiousness was associated with more frequent use of hormonal contraceptives and younger age at first breast ultrasound examination. Women at increased risk for developing breast/ovarian cancer who used hormonal contraceptives underwent breast ultrasound examinations earlier in life, while those who had breastfed their children chose to have their first mammogram earlier in life. Personality traits affect health-related behaviors and should be taken into account when designing theoretical models as well as interventions regarding health habits.
Protective effect of Panax ginseng extract on cisplatin-induced AKI via downregulating cell death associated genes
Unveiling the omics tapestry of B-acute lymphoblastic leukemia: bridging genomics, metabolomics, and immunomics
Imaging cells and nanoparticles using modulated optically computed phase microscopy
$$\hbox {H}_2$$-roaming dynamics in the formation of $$\hbox {H}_{3}^{+}$$ following two-photon double ionization of ethanol and aminoethanol
Abstract Roaming reactions involving a neutral fragment of a molecule that transiently wanders around another fragment before forming a new bond are intriguing and peculiar pathways for molecular rearrangement. Such reactions can occur for example upon double ionization of small organic molecules, and have recently sparked much scientific interest. We have studied the dynamics of the $$\hbox {H}_2$$ -roaming reaction leading to the formation of $$\hbox {H}_3^+$$ after two-photon double ionization of ethanol and 2-aminoethanol, using an XUV-UV pump-probe scheme. For ethanol, we find dynamics similar to previous studies employing different pump-probe schemes, indicating the independence of the observed dynamics from the method of ionization and the photon energy of the disruptive probe pulse. Surprisingly, we do not observe a kinetic isotope effect in ethanol- $$\hbox {D}_6$$ , in contrast to previous experiments on methanol where such an effect was observed. This distinction indicates fundamental differences in the energetics of the reaction pathways as compared to the methanol molecule. The larger number of possible roaming pathways compared to methanol complicates the analysis considerably. In contrast to previous studies, we additionally analyze a broad range of dissociative ionization products, which feature distinct dynamics from that of $$\hbox {H}_{3}^{+}$$ and allow initial insight into the action of the disruptive UV-probe pulse.
Enhancing food and nutrition security in Himalayan foothills with neglected and underutilized millets
Investigation into the PSD characteristics of internally unstable soils susceptible to suffosion
Structural, morphological and biological assessment of magnetic hydroxyapatite with superior hyperthermia potential for orthopedic applications
Abstract Hydroxyapatite (HA) is an important constituent of natural bone. The properties of HA can be enhanced with the help of various ionic substitutions in the crystal lattice of HA. Iron (Fe) is a vital element present in bones and teeth. In this study, iron-doped HA was synthesized using a refluxing-based sol-gel route with varying concentrations of iron (1–9 M%). Samples were analyzed using an X-ray diffractometer (XRD), UV–Vis Spectrophotometer, Fourier-transform infrared spectroscopy (FT-IR), vibrating sample magnetometer (VSM) and Scanning Electron Microscope (SEM). The biological assessment was carried out by hemolytic assay, anti-bacterial activity and in-vitro biocompatibility. XRD data confirmed the evolution of the hexagonal HA crystal structure with the reduction in the crystallinity and the crystallite size. All the characteristic bands were confirmed using FT-IR which also further proved the existence of A-type carbonated apatite. The UV–Vis spectra confirmed the reduction in the band gap energies owing to the substitution of iron. The SEM results showed a change in the shape of the samples with increasing iron concentration. The magnetic behavior of samples also altered from diamagnetic to ferromagnetic behavior due to the doping of iron with enhanced heating efficiency. All the samples were found to be hemocompatible. The antibacterial efficacy was found to be higher for E. coli (gram-negative) bacteria compared to S. aureus (gram-positive) bacteria. Moreover, the superior cell viability of MG-63 (osteoblast-like) cells was observed in Fe-doped HA, attributed to MTT assay which revealed the enhanced cell viability of osteoblast-like cells in the Fe-doped HA. These results strongly emphasize the potential of the developed samples for bone regeneration applications.