Search Results - "Tang, J J"

What can we learn about corticosteroid therapy as a treatment for COVID-19? by Tang, J.

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Adaptive pitch control of wind turbine for load mitigation under structural uncertainties by Yuan, Yuan, Tang, J.

“…In this research, a new adaptive control strategy is formulated for the pitch control of wind turbine that may suffer from reduced life owing to extreme loads…”
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Comprehensive analysis of the clinical immuno-oncology landscape by Tang, J., Shalabi, A., Hubbard-Lucey, V.M.

“…Advances from immuno-oncology (IO) are changing the standard of care of many types of cancer, and the paradigm of cancer treatments and drug development is…”
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Integrating angle-frequency domain synchronous averaging technique with feature extraction for gear fault diagnosis by Zhang, Shengli, Tang, J.

“…•Fault signature enhancement is developed for gearbox vibration measurement.•Signals are processed through angle-frequency domain synchronous…”
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Tunable modulation of refracted lamb wave front facilitated by adaptive elastic metasurfaces by Li, Shilong, Xu, Jiawen, Tang, J.

“…This letter reports designs of adaptive metasurfaces capable of modulating incoming wave fronts of elastic waves through electromechanical-tuning of their…”
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Multi-directional energy harvesting by piezoelectric cantilever-pendulum with internal resonance by Xu, J., Tang, J.

“…This letter reports a piezoelectric cantilever-pendulum design for multi-directional energy harvesting. A pendulum is attached to the tip of a piezoelectric…”
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Structural model updating using adaptive multi-response Gaussian process meta-modeling by Zhou, K., Tang, J.

“…•Multi-response Gaussian process (MRGP) emulation is formulated for model updating.•Adaptive sampling strategy is established to guide the search of unknown…”
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Tunable prism based on piezoelectric metamaterial for acoustic beam steering by Xu, J., Tang, J.

“…This letter reports a tunable acoustic prism featuring continuous beam steering for transverse waves at a single frequency. The proposed prism is comprised of…”
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EP07.51: An early ultrasound diagnosis of sirenomelia (mermaid syndrome) by Hanton, T., Tang, J.

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The Biocompatibility Analysis of Artificial Mucin-Like Glycopolymers by Trosan, P, Tang, J. S. J, Rosencrantz, R. R, Daehne, L, Smaczniak, A. Debrassi, Staehlke, S, Chea, S, Fuchsluger, T. A

“…The ocular surface is covered by a tear film consisting of an aqueous/mucin phase and a superficial lipid layer. Mucins, highly O-glycosylated proteins, are…”
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Process Understanding of Soil BVOC Fluxes in Natural Ecosystems: A Review by Tang, J., Schurgers, G., Rinnan, R.

“…Biogenic volatile organic compounds (BVOCs) can be released from soils to the atmosphere through microbial decomposition of plant residues or soil organic…”
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A comprehensive review on the applications of coal fly ash by Yao, Z.T., Ji, X.S., Sarker, P.K., Tang, J.H., Ge, L.Q., Xia, M.S., Xi, Y.Q.

“…Coal fly ash, an industrial by-product, is derived from coal combustion in thermal power plants. It is one of the most complex anthropogenic materials, and its…”
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Computational inference of vibratory system with incomplete modal information using parallel, interactive and adaptive Markov chains by Zhou, K., Tang, J.

“…•A new computational framework built upon Bayesian inference is established to conduct the probabilistic inverse analysis in the presence of…”
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Carbon nanotube-reinforced aluminum matrix composites enhanced by grain refinement and in situ precipitation by Xu, Z. Y., Li, C. J., Li, K. R., Yi, J. H., Tang, J. J., Zhang, Q. X., Liu, X. Q., Bao, R., Li, X.

“…Carbon nanotubes-reinforced aluminum matrix (CNTs/Al) composites possess wide application prospects in many fields, and how to achieve a high performance is…”
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Rolling bearing fault diagnosis based on feature fusion with parallel convolutional neural network by Liang, Mingxuan, Cao, Pei, Tang, J.

“…Deep learning has seen increased application in the data-driven fault diagnosis of manufacturing system components such as rolling bearing. However, deep…”
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Efficient characterization of dynamic response variation using multi-fidelity data fusion through composite neural network by Zhou, K., Tang, J.

“…•A meta-modeling approach is formulated for frequency response variation prediction.•New composite neural network is constructed to facilitate multi-fidelity…”
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Uncertainty quantification in structural dynamic analysis using two-level Gaussian processes and Bayesian inference by Zhou, K., Tang, J.

“…A probabilistic framework for efficient uncertainty quantification in structural dynamic analysis is presented. This framework is built upon the combination of…”
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The effect of vertically resolved soil biogeochemistry and alternate soil C and N models on C dynamics of CLM4 by Koven, C. D, Riley, W. J, Subin, Z. M, Tang, J. Y, Torn, M. S, Collins, W. D, Bonan, G. B, Lawrence, D. M, Swenson, S. C

“…Soils are a crucial component of the Earth system; they comprise a large portion of terrestrial carbon stocks, mediate the supply and demand of nutrients, and…”
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Solar radiation trend across China in recent decades: a revisit with quality-controlled data by Tang, W.-J., Yang, K., Qin, J., Cheng, C. C. K., He, J.

“…Solar radiation is one of the most important factors affecting climate and environment, and its long-term variation is of much concern in climate change…”
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A Reinforcement Learning Hyper-Heuristic in Multi-Objective Optimization with Application to Structural Damage Identification by Cao, Pei, Zhang, Yang, Tang, Jiong

“…Multi-objective optimization allows satisfying multiple decision criteria concurrently, and generally yields multiple solutions. It has the potential to be…”
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