CSH guidelines for the diagnosis and treatment of drug-induced liver injury
…, J Jia, R Lai, D Li, Y Liu, L Lu, S Ma, X Ma, Y Nan… - Hepatology …, 2017 - Springer
Drug-induced liver injury (DILI) is an important clinical problem, which has received more
attention in recent decades. It can be induced by small chemical molecules, biological agents, …
attention in recent decades. It can be induced by small chemical molecules, biological agents, …
Guidelines of prevention and treatment of nonalcoholic fatty liver disease (2018, China).
…, X Ma, YM Mao, YQ Mi, YM Nan… - Journal of digestive …, 2019 - search.ebscohost.com
The article reports that non-alcoholic fatty liver disease (NAFLD) is an acquired metabolic
stress-induced liver disease associated closely with genetic susceptibility and insulin …
stress-induced liver disease associated closely with genetic susceptibility and insulin …
Production of biodiesel from microalgae oil (Chlorella protothecoides) by non-catalytic transesterification in supercritical methanol and ethanol: Process optimization
Production of biodiesel through non-catalytic transesterification of microalgae oil in
supercritical methanol and ethanol was studied. The response surface methodology (RSM) …
supercritical methanol and ethanol was studied. The response surface methodology (RSM) …
Antioxidants vitamin E and 1-aminobenzotriazole prevent experimental non-alcoholic steatohepatitis in mice
YM Nan, WJ Wu, N Fu, BL Liang, RQ Wang… - Scandinavian journal …, 2009 - Taylor & Francis
Objective. Hepatic oxidative stress plays a key role in the development of non-alcoholic
steatohepatitis (NASH). However, the protective effects of antioxidants on NASH are largely …
steatohepatitis (NASH). However, the protective effects of antioxidants on NASH are largely …
Probability of detection, localization, and sizing: The evolution of reliability metrics in Structural Health Monitoring
The successful implementation of Structural Health Monitoring (SHM) systems is confined to
the capability of evaluating their performance, reliability, and durability. Although there are …
the capability of evaluating their performance, reliability, and durability. Although there are …
Adsorption of iodine on hydrogen‐reduced silver‐exchanged mordenite: Experiments and modeling
Y Nan, LL Tavlarides, DW DePaoli - AIChE Journal, 2017 - Wiley Online Library
The adsorption process of iodine, a major volatile radionuclide in the off‐gas streams of
spent nuclear fuel reprocessing, on hydrogen‐reduced silver‐exchanged mordenite (Ag 0 Z) …
spent nuclear fuel reprocessing, on hydrogen‐reduced silver‐exchanged mordenite (Ag 0 Z) …
Intensive electron transfer of a single-atom Fe-based catalytic ceramic membrane for municipal wastewater treatment: The synergistic effects of nitrogen vacancy …
N Yue, J Yang, P Li, Q Zhao, Y Wang, Z Wang, J Ding… - Water Research, 2025 - Elsevier
The integration of membrane separation with heterogeneous advanced oxidation processes
is a prospective strategy for the elimination of contaminants during wastewater treatment. Fe…
is a prospective strategy for the elimination of contaminants during wastewater treatment. Fe…
A scalable data-driven approach to temperature baseline reconstruction for guided wave structural health monitoring of anisotropic carbon-fibre-reinforced polymer …
N Yue, MH Aliabadi - Structural Health Monitoring, 2020 - journals.sagepub.com
To account for the temperature effect on guided wave signals in complex structures, a
significant amount of baseline measurements typically need to be collected over a large …
significant amount of baseline measurements typically need to be collected over a large …
Damage detection in large composite stiffened panels based on a novel SHM building block philosophy
This paper proposes a structural health monitoring (SHM) building block (BB) approach for
guided wave based structural health monitoring (GWSHM) of large composite stiffened panel …
guided wave based structural health monitoring (GWSHM) of large composite stiffened panel …
[HTML][HTML] Strain-based delamination prediction in fatigue loaded CFRP coupon specimens by deep learning and static loading data
D Cristiani, F Falcetelli, N Yue, C Sbarufatti… - Composites Part B …, 2022 - Elsevier
Abstract Machine learning (ML) methods for the structural health monitoring (SHM) of
composite structures rely on sufficient domain knowledge as they typically demand to extract …
composite structures rely on sufficient domain knowledge as they typically demand to extract …