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Deep aging clocks: AI-powered strategies for biological age estimation
Published 2025“…Recent advances in artificial intelligence (AI), utilizing deep learning techniques, have significantly enhanced the prediction of biological aging, and this would help improve aging clocks and accelerate efforts to reach longer and healthier lives.…”
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The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu...
Published 2019“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”
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Aging Effects in Field-Compacted Dredged Material
Published 2013“…Key findings include that moisture content of the internal core at 365 days was essentially unchanged from the as-built conditions, and the bulk (major oxide) chemistry of the DM-SSF blends matched what was predicted by the field blending ratios. The addition of SSF to the 100% DM resulted in significant pH buffering and in strength increases up to a factor of 2, as measured by the average cone penetrometer test (CPT) tip resistance. …”
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Perinatal factors impacting echocardiographic left ventricular measurement in small for gestational age infants: a prospective cohort study
Published 2023“…<h2>Introduction</h2><p dir="ltr">Infants born small for gestational age (SGA) have an increased risk of developing various cardiovascular complications. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…In this regard, the recent SARS-CoV-2 alpha, beta, and gamma variants (B.1.1.7, B.1.351, and P.1 lineages, respectively) are of great significance in that they contain several mutations that increase their transmission rates as evident from clinical reports. …”
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Effect of consanguinity on birth weight for gestational age in a developing country
Published 2007“…No significant difference was observed in the decrease in birth weight between the first- and second-cousin marriages. …”
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Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion
Published 2014“…Results from RT‑PCR showed that kefir decreases the expression of transforming growth factor α (TGF‑α); and transforming growth factor‑β1 (TGF‑β1) in HT‑29 cells. …”
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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. …”
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Validating a Structural Model of Destination Image, Satisfaction, and Loyalty Across Gender and Age
Published 2015“…This study validates an interesting model of destination image (DI), tourist satisfaction, and loyalty across gender and age. We confirm that DI predicts satisfaction and has a significant direct and indirect effect on loyalty. …”
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Daucus carota pentane-based fractions arrest the cell cycle and increase apoptosis in MDA-MB-231 breast cancer cells
Published 2014“…The increase in apoptosis in response to treatment was also apparent in the increase in BAX and the decrease in Bcl-2 levels as well as the proteolytic cleavage of both caspase-3 and PARP as revealed by Western blot. …”
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Role of nutritional indices in predicting outcomes of vascular surgery
Published 2019“…The eight-category nutritional status was more predictive of operative death than age alone (C statistic, 0.74 vs 0.63). …”
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Predicting Mobile Game Success Using Data Analytics
Published 2017“…The lists were then integrated, a final list of games which appeared in both lists was generated for further comparison. According to the prediction model results for the dual datasets, the most successful mobile game app from the 50 game sample was Game of War-Fire Age; the most successful genre was Puzzles, and the most successful developer was EA Sports. …”
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Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach
Published 2025“…BackgroundStroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcomes. This study explores the utility of machine learning models in predicting HAP in stroke patients, leveraging national registry data and SHapley Additive exPlanations (SHAP) analysis to identify key predictive factors. …”
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