Results 171 to 180 of about 7,927,315 (258)

A novel two-parameter discrete exponentiated exponential distribution with its neutrosophic extension: mathematical characterization and real-world count data modeling. [PDF]

Front Big Data
P FA, V S.
europepmc   +1 more source

Preoperative FIB‐4 Index as a Potential Factor Associated With Severe Postoperative Complications and Endogenous Organ Failure After Hepatectomy for Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
This study demonstrates that a preoperative FIB‐4 index ≥ 5.0 independently predicts severe complications and endogenous organ failure (EOF) following hepatectomy for hepatocellular carcinoma. By capturing structural liver fragility and systemic vulnerability, the FIB‐4 index enhances surgical risk stratification beyond traditional functional markers ...
Masanori Nakamura, Yukiyasu Okamura, Osamu Aramaki, Nao Yoshida, Yusuke Mitsuka, Hayato Abe, Shunsuke Yamagishi, Yasuhiro Okumura, Kyongsun Pak, Shinobu Masuda   +9 more
wiley   +1 more source

A yoga-integrated mind-body movement intervention: effects on children's problem solving, mathematics anxiety, and physical activity. [PDF]

Front Public Health
Kayıran D, Avci A, Türkmen EN, Haji Mohamud RY.   +3 more
europepmc   +1 more source

pyDMS: A Python package for the determination of physics‐informed dual‐mode sorption (DMS) parameters

AIChE Journal, EarlyView.
Abstract Sorption in glassy polymer membranes is commonly modeled with the dual‐mode sorption (DMS) model. Fitting the DMS model to sorption isotherms presents challenges, as multiple parameter sets may prove satisfactory. This work presents pyDMS, an open‐source Python package for the computation of DMS parameters obtained via a physics‐informed ...
Brandon C. Tapia, Pablo A. Dean, Jing Ying Yeo, Albert X. Wu, Zachary P. Smith   +4 more
wiley   +1 more source

The impact of the mathematical adversity quotient on preparatory students' mathematics learning engagement: moderated mediation effect analysis. [PDF]

Front Psychol
Liu J, Sun Y, Li Y.
europepmc   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Outcome-based education and student learning in probability and statistics: the mediating roles of engagement and self-efficacy in a new liberal arts context. [PDF]

Front Psychol
Zhao X, Ding H, Wu X, Sam TH, Jaya J.
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Detection of critical transition states in complex diseases based on distance correlation coefficient. [PDF]

PLoS One
Hou P, Liu C, Zhang X.
europepmc   +1 more source