park, jongsuk byun, yonghyun kim, sangho
Background/Objectives: Metabolic syndrome (MetS) is a cluster of risk factors that significantly increase the risk of cardiovascular disease, including type 2 diabetes, etc. Assessing the predictive diagnostic power of anthropometric indicators for MetS is crucial for the early identification and prevention of related health issues. This study focu...
Ghbari, Thaer A. Harahsheh, Ahmad H.
Universities always strive to qualify students to be creative in their careers, so researchers in the creativity domain seeks the factors that affect creative thinking to understand this concept more deeply. As a result, the current study aimed at exploring the predictive power of self-regulation and academic hope in the creative thinking among und...
sitharthan, darshan kang, song treacy, patrick-julien bird, jacob alexander, kate karunaratne, sascha leslie, scott chan, lewis steffens, daniel thanigasalam, ruban
...
Background/Objectives: The presence of seminal vesicle invasion (SVI) in prostate cancer (PCa) is associated with poorer postoperative outcomes. This study evaluates the predictive value of magnetic resonance imaging (MRI) and prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) for SVI in PCa. Methods: ...
Li, Jun Wang, Lingjie Pan, Ling Hu, Ziao Yin, Ruiqiang Liu, Jia-Fu
Published in
Frontiers in Psychology
Introduction The mental health (MH) of college students has long been a crucial concern for families, educational institutions, and society. Extensive research has demonstrated the influential role of exercise motivation in shaping MH. However, further investigation is warranted to ascertain which types of exercise motivation may have more influenc...
yasui, kyuichi
In the present review, the merits and demerits of machine learning (ML) in materials science are discussed, compared with first principles calculations (PDE (partial differential equations) model) and physical or phenomenological ODE (ordinary differential equations) model calculations. ML is basically a fitting procedure of pre-existing (experimen...
Lu, Yongtao Yang, Zhuoyue Zhu, Hanxing Wu, Chengwei
Published in
Computer methods in biomechanics and biomedical engineering
The efficient prediction of biomechanical properties of bone plays an important role in the assessment of bone quality. However, the present techniques are either of low accuracy or of high complexity for the clinical application. The present study aims to investigate the predictive ability of the evolving convolutional neural network (CNN) techniq...
Yang, Ruijuan Kuang, Maobin Qiu, Jiajun Yu, Changhui Sheng, Guotai Zou, Yang
Published in
Frontiers in Endocrinology
Objective Visceral adipose tissue assessment holds significant importance in diabetes prevention. This study aimed to explore the association between the newly proposed Metabolic Score for Visceral Fat (METS-VF) and diabetes risk and to further assess the predictive power of the baseline METS-VF for the occurrence of diabetes in different future pe...
Nano, Maddalena Mondo, James A Harwood, Jacob Balasanyan, Varuzhan Montell, Denise J
Published in
Proceedings of the National Academy of Sciences of the United States of America
Executioner-caspase activation has been considered a point-of-no-return in apoptosis. However, numerous studies report survival from caspase activation after treatment with drugs or radiation. An open question is whether cells can recover from direct caspase activation without pro-survival stress responses induced by drugs. To address this question...
Nano, Maddalena Mondo, James Harwood, Jacob Balasanyan, Varuzhan Montell, Denise
Executioner-caspase activation has been considered a point-of-no-return in apoptosis. However, numerous studies report survival from caspase activation after treatment with drugs or radiation. An open question is whether cells can recover from direct caspase activation without pro-survival stress responses induced by drugs. To address this question...
zhang, ying-ying ran, qian
Imprecision is commonly encountered with respect to powers and predictive powers in clinical trials. In this article, we investigate the imprecision issues of four powers (Classical Power, Classical Conditional Power, Bayesian Power, and Bayesian Conditional Power) and eight predictive powers. To begin with, we derive the probabilities of Control S...