Results 131 to 140 of about 109,361 (292)
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Protocol for Reconstituting Adaptor‐Mediated Activation of Full‐Length Kinesin‐1
ABSTRACT Kinesin‐1 is a member of the kinesin superfamily that plays an essential role in intracellular cargo transport. In the absence of cargo, Kinesin‐1 exhibits low motor activity due to autoinhibition. Multiple studies have demonstrated that adaptor proteins, which link cargos to Kinesin‐1, can activate Kinesin‐1 by releasing the autoinhibition ...
Haruka Masumoto, Kyoko Chiba
wiley +1 more source
ABSTRACT Microtubules are noncovalent polymers assembled from α/β tubulin dimers. Their structure, dynamics and interaction with effectors are regulated through the expression of diverse tubulin isotypes and chemically diverse posttranslational modifications, also known as the “tubulin code.” Understanding the biophysical correlates between tubulin ...
Jiayi Chen +2 more
wiley +1 more source
In the process of water‐soluble cavern construction of salt cavern energy storage, since the interlayer does not dissolve in water easily, sudden collapse will cause engineering accidents such as bending and damage of the inner tube of the cavern.
Zenghui Zhao +5 more
wiley +1 more source
Based on experimental results and theoretical analysis, an established rock damage accumulation model that comprehensively considers the preapplied static load, impact peak value, impact frequency, and impact times. Abstract To study the rock damage mechanism under high static loading and superimposed medium strain rate cyclic impact loading, a series ...
Wei Wang +6 more
wiley +1 more source
An optimizing microseismic method for rock burst early warning based on mining production process
A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han +6 more
wiley +1 more source
Seismic analysis and design of tunnels within fault ground: A review
The research methods of seismic response of tunnels within fault ground, including field investigations, analytical solutions, physical experiments, and numerical simulations, and seismic countermeasures are discussed. The present study examines the shortcomings and limitations of the current research and design, and puts forward proposals for future ...
Xingda Wang +6 more
wiley +1 more source
Abstract Background Previous experiments inducing leakage of embryonic cerebrospinal fluid (CSF) suggest the necessity of intraventricular CSF pressure (PCSF) for brain morphogenesis. Nevertheless, how embryonic PCSF occurs is unclear, especially in utero. Results Using a Landis water manometer, we measured PCSF in fetal mice isolated from the amniotic
Koichiro Tsujikawa +2 more
wiley +1 more source

