Results 91 to 100 of about 101,601 (232)
Unmet needs in the post-direct-acting antivirals era: The risk and molecular mechanisms of hepatocellular carcinoma after hepatitis C virus eradication [PDF]
Hepatitis C virus (HCV) infection is one of the major etiologies of hepatocellular carcinoma (HCC) with approximately 30% of HCC being due to HCV infection worldwide.
Chung-Feng Huang +3 more
doaj +1 more source
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su +11 more
wiley +1 more source
In India, it is estimated that 10–24 million people are living with active HCV infection, with a seroprevalence of 0.09% to 2.02% among the healthy population.
Astha +5 more
doaj +1 more source
Computational and Machine‐Learning Studies of Ethylene Oligomerization
This review focuses on recent advances in computational and machine‐learning studies of ethylene oligomerization, highlighting mainstream catalyst systems based on Co, Ta, Ti, Zr, and Hf, with particular emphasis on Fe‐ and Cr‐based catalysts and their controlling factors governing reactivity and LAO distribution.
Zhixin Qin +3 more
wiley +1 more source
Gauge Deterioration Prediction of Urban Rail Transit Lines Based on CEEMD and SVR
[Objective] In order to strengthen the status ma-nagement of urban rail transit line sections, it is necessary to predict the overall deterioration trend of the gauge in space.
JIA Qingtian, LIN Haijian, JIN Zhong
doaj +1 more source
ABSTRACT Background Ventricular septal rupture (VSR) is a rare but devastating complication of acute myocardial infarction (MI), associated with high mortality despite advances in reperfusion therapy. However, contemporary data examining national trends in VSR outcomes and the evolving role of mechanical circulatory support (MCS) in this population ...
Javier Fernandez +8 more
wiley +1 more source
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source
This study explores advances in forecasting time series data by combining linear and non-linear models. Traditional methods such as ARIMA and its variant ARIMAX are effective for linear data but have limitations when dealing with non-linearity.
I'lmisukma Risnawati +2 more
doaj +1 more source
A New Method to Improve the Sensitivity of Leak Detection in Self-Contained Fluid-filled Cables
A method of real-time detection of leaks for self-contained fluid-filled cables without taking them out of service has been assessed and a novel machine learning technique, i.e.
Bradley, C +3 more
core
An adaptive sampling method for global sensitivity analysis based on least-squares support vector regression [PDF]
In the field of engineering, surrogate models are commonly used for approximating the behavior of a physical phenomenon in order to reduce the computational costs.
Bourinet, Jean-Marc +2 more
core

