Results 51 to 60 of about 101,601 (232)

Non-invasive quantification of liver fibrosis regression following successful treatment of chronic hepatitis C with direct acting antivirals

open access: yesRomanian Journal of Laboratory Medicine, 2017
Introduction. The past years have revolutionized the treatment of hepatitis C virus (HCV) infection, with high rates of sustained virologic response (SVR). Furthermore, liver fibrosis has recently been redefined as a dynamic, reversible process. Methods.
Nițescu Maria   +6 more
doaj   +1 more source

Modelling lock-down strictness for COVID-19 pandemic in ASEAN countries by using hybrid ARIMA-SVR and hybrid SEIR-ANN

open access: yesArab Journal of Basic and Applied Sciences, 2021
ASEAN, include Indonesia, Malaysia, Philippines, Singapore, and Thailand, are the countries with ongoing transmission of SARS-COV-2, the virus that causes COVID-19.
Maharani A. Bakar   +6 more
doaj   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Predicting the capillary water absorption values of building stones by hybrid models

open access: yesJournal of Applied Science and Engineering
The determination of rock’s Capillary water absorption (CWA) requires extensive and complex empirical investigations, while forecasting algorithms could reduce the cost and time required.
Gang Li   +3 more
doaj   +1 more source

Performance Comparison of Machine Learning Algorithms for Estimating the Soil Salinity of Salt-Affected Soil Using Field Spectral Data

open access: yesRemote Sensing, 2019
Salt-affected soil is a prominent ecological and environmental problem in dry farming areas throughout the world. China has nearly 9.9 million km2 of salt-affected land.
Sijia Wang   +3 more
doaj   +1 more source

Effect of Zinc Supplementation on Viral Response in Patients with Chronic Hepatitis C and Beta Thalassemia Major, A Pilot Study [PDF]

open access: yesJournal of Clinical and Diagnostic Research, 2014
Introduction: Zinc deficiency has been reported in patients with both hepatitis C and beta thalassemia major. Zinc supplementation in addition to antiviral therapy of chronic hepatitis C has been accompanied by some success in patients with chronic ...
Mohammad Abbasinazari   +7 more
doaj   +1 more source

HCV epidemiology in high-risk groups and the risk of reinfection [PDF]

open access: yes, 2016
Injecting risk behaviours among people who inject drugs (PWID) and high-risk sexual practices among men who have sex with men (MSM) are important routes of hepatitis C virus (HCV) transmission.
Dalgard, Olav   +6 more
core   +2 more sources

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

open access: yesAdvanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang   +5 more
wiley   +1 more source

Bayesian detection of embryonic gene expression onset in C. elegans [PDF]

open access: yes, 2015
To study how a zygote develops into an embryo with different tissues, large-scale 4D confocal movies of C. elegans embryos have been produced recently by experimental biologists.
Fan, Xiaodan   +5 more
core   +2 more sources

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar   +3 more
wiley   +1 more source

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