Results 181 to 190 of about 46,519 (215)

Small Intestinal Bacterial Overgrowth Following Gastrointestinal Cancer Surgery: Current Evidence and Future Perspectives

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Small intestinal bacterial overgrowth (SIBO) has recently gained increasing attention as a potential cause of postoperative gastrointestinal symptoms following gastrointestinal cancer surgery. Surgical procedures can disrupt normal gastrointestinal physiology through anatomical reconstruction, impaired motility, reduced gastric acid secretion,
Toru Aoyama, Haruhiko Cho, Takaki Yoshikawa   +2 more
wiley   +1 more source

Confidence interval estimation for the difference of censored zero-inflated gamma distributions. [PDF]

Sci Rep
Guo H, Zhu Y, Qian Y, Wu M.
europepmc   +1 more source

Process‐informed co‐optimization of liquid air energy storage and data centers under off‐design thermodynamic operation

AIChE Journal, EarlyView.
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang, Xiaopo Cheng, Hui Geng, Jiaze Ma   +3 more
wiley   +1 more source

Analyzing microbiome data with taxonomic misclassification using a zero-inflated Dirichlet-multinomial model. [PDF]

BMC Bioinformatics
Koslovsky MD.
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

scAMZI: attention-based deep autoencoder with zero-inflated layer for clustering scRNA-seq data. [PDF]

BMC Genomics
Yuan L, Xu Z, Meng B, Ye L.
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Vaccination status and its determinants among children aged 12-23 months in Tigray, northern Ethiopia: A zero-inflated Poisson regression analysis. [PDF]

PLoS One
Gebretnsae H, Ayele B, Gebresilassie F, Hadgu T, Kahsay H, Aregay A, Demoz K, Tilahun M, Gebretsadik A, Hadush Z, Mamo L, Wellay T, Shamie R, Werkneh AA, Kalayu M, Ayallew A, Hailemariam F, Gebrelibanos A, Tesfean T, Haileselassie H, Yahya M, Abraha M, Gebrehiwot H, Meresa D, Meles GG, Fisseha A, Gebreyohannes Y, Mekonnen M, Asmelash A, Zegeye T, Mulaw M, Alemu T, Gebrekurstos G, Esayas R, Berihu T, Haile A, Medhanyie AA, Alemayehu M, Mulugeta A.   +38 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source