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aging based » agent based (Expand Search), hiding based (Expand Search)
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decrease » increase (Expand Search)
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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
Published 2024“…Moreover, the proposed algorithm demonstrated excellent prediction accuracy with a mean absolute error (MAE) of <b>3.89</b> years, <b>3.64 </b>years, and <b>4.49</b> years for GM, WM, and CSF regions, confirming that changes in WM volume are significantly associated with normal brain aging. Additionally, voxel-based morphometry (VBM) examines age-related anatomical alterations in different brain regions in GM, WM, and CSF tissue volumes.…”
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Deep aging clocks: AI-powered strategies for biological age estimation
Published 2025“…Here, we summarize the current deep aging clocks, including epigenetics, transcriptomics, metabolomics, microbiome, and imaging based clocks for age prediction. …”
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Incidence, risk factors, and feto-maternal outcomes of inappropriate birth weight for gestational age among singleton live births in Qatar: A population-based study
Published 2021“…</p><h3>Objective</h3><p dir="ltr">In this study, we aimed to assess the incidence, risk factors, and feto-maternal outcomes associated with small-for-gestational age (SGA) and large-for-gestational age (LGA) infants.…”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
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Validating a Structural Model of Destination Image, Satisfaction, and Loyalty Across Gender and Age
Published 2015“…After examining the validated structural model across different groups of respondents based on gender, age, and the gender by age interaction, we found that the model constructs differ across some of the groups. …”
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Impact of body composition analysis on male sexual function: A metabolic age study
Published 2023“…Significant negative correlations between the IIEF-5 score, MetAge, and fat composition, were only reported in subjects <40 years of age. …”
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Epidemiology of SARS-CoV2 in Qatar’s primary care population aged 10 years and above
Published 2022“…A significant variation was observed by nationality (7.1 to 22.2%) and municipalities (6.9–35.3%).…”
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Association between Healthy Lifestyle Index and Cognitive decline In Community- Dwelling Lebanese Older Adults
Published 2021“…Objective: Normal aging is often associated with cognitive deterioration in older adults, but the prevalence of cognitive decline like cognitive impairment, Alzheimer’s disease and dementia has been increasing lately. …”
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Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study
Published 2023“…Multivariable regression analysis showed that multiple pregnancies, parity ≥ 1, maternal BMI, and demographic factors (mother’s age and ethnicity, and infant’s gender) were associated with various specific CAs. …”
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Maternal secure base support and preschoolers' secure base behavior in natural environments
Published 2007“…Overall, findings indicated that maternal secure base support was significantly related to the organization of child secure base behavior (r = .31 and .49 for Study 1 and Study 2, respectively). …”
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Investigating Educators’ Perceptions of the Impact of STEM Project-Based Learning on 21st Century Skills
Published 2024“…Demographic factors like gender, age, academic qualification, or teaching experience did not significantly influence perceptions. …”
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Population Reference Values for Serum Methylmalonic Acid Concentrations and Its Relationship with Age, Sex, Race-Ethnicity, Supplement Use, Kidney Function and Serum Vitamin B12 in...
Published 2018“…Multivariate-adjusted serum MMA concentration was significantly associated with race-ethnicity (p < 0.001) and age (p < 0.001) but not with sex (p = 0.057). …”
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Predicting Mobile Game Success Using Data Analytics
Published 2017“…Where success is described based on the best match with the results of the study. …”
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Effect of community-based intervention on knowledge and practice of rural mothers toward children home injuries
Published 2023“…The mean total knowledge score increased from 39 ± 5.4 in the pretest to 41 ± 9.0 in the posttest, while the mean total practice score increased from 31.2 ± 5.7 in the pretest to 48.6 ± 9.7 in the posttest. Age, education level, family size, and occupation were significant predictors of mothers' total knowledge and total practice. …”
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Self-Perceived performance-based training needs among middle-level nursing managers in Jordan
Published 2023“…In addition, age, gender, prior training in nursing management, and years of experience as middle-level nurse managers significantly predicted the levels of training needed (R2 = 0.23, P < 0.001).…”