Results 51 to 60 of about 102,701 (252)

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

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

Baseline anti-NS4a antibodies in combination with on-treatment quantitative HCV-RNA reliably identifies nonresponders to pegylated interferon-ribavirin combination therapy after 4 weeks of treatment [PDF]

open access: yes, 2010
Background Early detection of nonresponders to hepatitis C therapy limits unnecessary exposure to treatment and its side-effects. A recent algorithm combining baseline anti-NS4a antibodies and on-treatment quantitative PCR identified nonresponders to a ...
de Knegt, Robert J   +8 more
core   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

open access: yesAdvanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li   +8 more
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

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

HCV treatment for prevention among people who inject drugs: Modeling treatment scale-up in the age of direct-acting antivirals. [PDF]

open access: yes, 2013
UNLABELLED: Substantial reductions in hepatitis C virus (HCV) prevalence among people who inject drugs (PWID) cannot be achieved by harm reduction interventions such as needle exchange and opiate substitution therapy (OST) alone. Current HCV treatment is
Aitken   +56 more
core   +5 more sources

Decoding Structure‐Property Relationships in Anion Exchange Membranes via a Chemically Informed Dual‐Channel Graph Attention Network

open access: yesAdvanced Science, EarlyView.
SPARK decodes structure‐property relationships in anion exchange membranes (AEMs) via a chemically informed dual‐channel graph attention network (DEGAT) that explicitly captures microphase separation. It outputs five‐level grades for hydroxide conductivity and alkaline stability and highlights relevant key structural units, enabling robust pre ...
Wanting Chen   +6 more
wiley   +1 more source

برآورد محاسباتی واحدهای رنگی L*a*b* از RGB با کمک پردازش تصاویر دیجیتالی [PDF]

open access: yesمجله پژوهش‌های علوم و صنایع غذایی ایران, 2017
رنگ اولین ویژگی کیفیت مواد غذایی است که توسط مصرف کنندگان مورد بررسی قرار می گیرد. اندازه گیری رنگ مواد غذایی به‌عنوان یک شاخص غیرمستقیم در اندازه گیری دیگر ویژگی های کیفیتی مانند عطر و طعم و محتویات رنگدانه به دلیل سرعت و سادگی در اندازه گیری، و همچنین ...
سامان آبدانان مهدی زاده   +1 more
doaj   +1 more source

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