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Advanced Search Results For "Bo Yang"

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 "Bo Yang"
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Data-driven model for predicting production periods in the SAGD process

Publication Type:Academic Journal

Source(s):Petroleum, Vol 8, Iss 3, Pp 363-374 (2022)

Abstract:Many studies have analyzed the cumulative production performance in the SAGD (steam assisted gravity drainage) process by data-driven models but a study based on these models for a dynamic analysis of a SAGD production period is still rare. It is impor...

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An intersectional analysis of LncRNAs and mRNAs reveals the potential therapeutic targets of Bi Zhong Xiao Decoction in collagen-induced arthritis rats

Publication Type:Academic Journal

Source(s):Chinese Medicine, Vol 17, Iss 1, Pp 1-20 (2022)

Abstract:Abstract Background Bi Zhong Xiao decoction (BZXD), a traditional Chinese herbal formula, has been used clinically for many years to treat rheumatoid arthritis (RA). Both clinical and experimental studies have revealed that BZXD is effective in treatin...

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pH-responsive cinnamaldehyde-TiO2 nanotube coating: fabrication and functions in a simulated diabetes condition

Publication Type:Academic Journal

Source(s):Journal of Materials Science: Materials in Medicine, Vol 33, Iss 9, Pp 1-14 (2022)

Abstract:Abstract Current evidence has suggested that diabetes increases the risk of implanting failure, and therefore, appropriate surface modification of dental implants in patients with diabetes is crucial. TiO2 nanotube (TNT) has an osteogenic nanotopograph...

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In situ estimates of net primary production in the open‐ocean Gulf of Mexico

Publication Type:Academic Journal

Source(s):Limnology and Oceanography Letters, Vol 7, Iss 5, Pp 427-434 (2022)

Abstract:Abstract Net primary production (NPP) measurements in the open‐ocean Gulf of Mexico are scarce and mostly limited to satellite‐derived surface estimates. Profiling floats can obtain depth‐resolved chlorophyll (Chl) and backscattering (bbp) data for NPP...

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Prediction of electricity consumption during epidemic period based on improved particle swarm optimization algorithm

Publication Type:Academic Journal

Source(s):Energy Reports, Vol 8, Iss , Pp 437-446 (2022)

Abstract:A prediction method of electricity consumption is developed in order to address the problems of big change and imbalance in electricity consumption caused by COVID-19. In this method, BP (Back Propagation) neural network and improved particle swarm opt...

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Melatonin inhibits ESCC tumor growth by mitigating the HDAC7/β-catenin/c-Myc positive feedback loop and suppressing the USP10-maintained HDAC7 protein stability

Publication Type:Academic Journal

Source(s):Military Medical Research, Vol 9, Iss 1, Pp 1-19 (2022)

Abstract:Abstract Background Melatonin, a natural hormone secreted by the pineal gland, has been reported to exhibit antitumor properties through diverse mechanisms of action. However, the oncostatic function of melatonin on esophageal squamous cell carcinoma (...

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Poor long-term outcomes of intravenous drug users with infectious endocarditisCentral MessagePerspective

Publication Type:Academic Journal

Source(s):JTCVS Open, Vol 11, Iss , Pp 92-104 (2022)

Abstract:Objectives: The optimal management of active endocarditis in intravenous (IV) drug users is still lacking. Methods: From the years 1997 to 2017, 536 patients with active infectious endocarditis were surgically treated, including 83 (15%) with IV drug u...

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Comprehensive summary of solid oxide fuel cell control: a state-of-the-art review

Publication Type:Academic Journal

Source(s):Protection and Control of Modern Power Systems, Vol 7, Iss 1, Pp 1-31 (2022)

Abstract:Abstract Hydrogen energy is a promising renewable resource for the sustainable development of society. As a key member of the fuel cell (FC) family, the solid oxide fuel cell (SOFC) has attracted a lot of attention because of characteristics such as ha...

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FSR‐SSL: A fault sample rebalancing framework based on semi‐supervised learning for PV fault diagnosis

Publication Type:Academic Journal

Source(s):IET Renewable Power Generation, Vol 16, Iss 12, Pp 2667-2681 (2022)

Abstract:Abstract Photovoltaics face the threat of many potential faults in daily operation, which calls for accurate fault diagnosis to avoid huge economical losses. This paper investigates practical and troublesome scenarios, where the photovoltaics station h...

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Electric load forecasting based on Long-Short-Term-Memory network via simplex optimizer during COVID-19

Publication Type:Academic Journal

Source(s):Energy Reports, Vol 8, Iss , Pp 1-12 (2022)

Abstract:Electric load forecasting is a challenging research, which is of great significance to the safe and stable operation of power grid in epidemic period. In this paper, Long-Short-Term-Memory (LSTM) model with simplex optimizer is proposed to forecast the...

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