Results 61 to 70 of about 2,197,790 (291)
Flow-dynamics informed Kolmogorov–Arnold networks for simulating subsonic compressible flow around airfoils [PDF]
Deep learning has been probed for surrogate modeling of flow around airfoils. While physics-informed neural networks (PINNs) built on sparse data possess some physical interpretability, the prediction of flow fields may deviate from the true distribution.
Jianren Sun, Zhongyang Fei, Pan Qin
doaj +1 more source
ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley +1 more source
Smartphone-Based 3D Indoor Pedestrian Positioning through Multi-Modal Data Fusion
Combining research areas of biomechanics and pedestrian dead reckoning (PDR) provides a very promising way for pedestrian positioning in environments where Global Positioning System (GPS) signals are degraded or unavailable.
Hongyu Zhao +5 more
doaj +1 more source
Communication networks form the backbone of our society. Topology control algorithms optimize the topology of such communication networks. Due to the importance of communication networks, a topology control algorithm should guarantee certain required ...
Hollick, Matthias +5 more
core +1 more source
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Process Monitoring via Key Principal Components and Local Information Based Weights
There are two problems in principal component analysis (PCA), which is widely employed in multivariate statistical process monitoring. On one hand, principal components selection according to the variance of the normal training dataset cannot represent ...
Bing Song +5 more
doaj +1 more source
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Quality Weakly Related Fault Detection Based on Weighted Dual-Step Feature Extraction
Process variables can be separated into quality strongly related variables (QSRVs) and quality weakly related variables (QWRVs) based on the difference of correlation between process variables and quality.
Bo Zhao +3 more
doaj +1 more source
Asymptotic controllability and optimal control
We consider a control problem where the state must reach asymptotically a target while paying an integral payoff with a non-negative Lagrangian. The dynamics is just continuous, and no assumptions are made on the zero level set of the Lagrangian. Through an inequality involving a positive number $\bar p_0$ and a Minimum Restraint Function $U=U(x)$ --a ...
MOTTA, MONICA, RAMPAZZO, FRANCO
openaire +4 more sources
We apply two recent generalizations of monotonically convergent optimization algorithms to the control of molecular orientation by laser fields. We show how to minimize the control duration by a step-wise optimization and maximize the field-free ...
Koch, C., Ndong, M., Sugny, D.
core +1 more source

