Results 121 to 130 of about 71,044 (233)
The Canadian Journal of Chemical Engineering, Volume 104, Issue 4, Page 2033-2054, April 2026.Abstract This paper proposes an online process fault diagnosis scheme that integrates principal component analysis, Andrews function, autoencoder, and multilayer feedforward neural network to enhance the fault diagnosis performance. Useful features are extracted from the online monitoring data by using Andrews function (also known as Andrews plot).
Shengkai Wang, Jie Zhang
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Cerebral Infarction: Epidemiology, Classification, Mechanisms, Diagnosis, and Management
MedComm, Volume 7, Issue 4, April 2026.Within minutes after ischemia onset, deprivation of oxygen and glucose leads to rapid ATP depletion, resulting in failure of Na+/K+‐ATPase activity and membrane depolarization. This ionic imbalance promotes uncontrolled synaptic release of glutamate and excessive activation of postsynaptic NMDA and AMPA receptors.
Meibiao Zhang +4 more
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What If Each Voxel Were Measured With a Different Diffusion Protocol?
Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2277-2290, April 2026.ABSTRACT Purpose Expansion of diffusion MRI (dMRI) both into the realm of strong gradients and into accessible imaging with portable low‐field devices brings about the challenge of gradient nonlinearities. Spatial variations of the diffusion gradients make diffusion weightings and directions non‐uniform across the field of view, and deform perfect ...
Santiago Coelho +7 more
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Coil Sketching for Fast and Efficient 4D Lung MRI Reconstruction
Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2241-2253, April 2026.ABSTRACT Purpose To develop and evaluate a memory‐efficient and accelerated reconstruction framework for respiratory‐resolved 4D lung MRI using coil sketching and Toeplitz approximation, enabling high‐quality motion‐compensated low‐rank (MoCo‐LR) reconstructions on clinically accessible GPU hardware.
Joseph W. Plummer +7 more
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Total singular value decomposition. Robust SVD, regression and location-scale
, 2007 Singular Value Decomposition (SVD) is the basic body of many statistical algorithms and few users question whether SVD is properly handling its job. SVD aims at evaluating the decomposition that best approximates a data matrix, given some rank restriction.
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Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2131-2152, April 2026.ABSTRACT Purpose In multi‐shot EPI, shot‐dependent phase fluctuations can introduce ghost artifacts, undermining advantages for enhancing resolution or reducing distortion, particularly in diffusion scans. Here, a novel self‐navigation strategy based on shift‐invariant kernel extraction is proposed, enabling robust estimation of phase inconsistencies ...
Rui Tian +3 more
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Acta Crystallographica Section D, Volume 82, Issue 4, Page 274-294, April 2026.A Bayesian perspective on orientation estimation in cryo‐EM is presented, with the minimum mean‐square error estimator outperforming standard cross‐correlation‐based approaches, particularly under challenging low signal‐to‐noise conditions. We demonstrate that improved orientation estimation has a decisive impact on 3D reconstruction quality and ...
Sheng Xu +3 more
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Artificial intelligence streamlines scientific discovery of drug–target interactions
British Journal of Pharmacology, Volume 183, Issue 8, Page 1673-1690, April 2026.Abstract Drug discovery is a complicated process through which new therapeutics are identified to prevent and treat specific diseases. Identification of drug–target interactions (DTIs) stands as a pivotal aspect within the realm of drug discovery and development. The traditional process of drug discovery, especially identification of DTIs, is marked by
Yuxin Yang, Feixiong Cheng
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The Journal of Physiology, Volume 604, Issue 7, Page 3159-3174, 1 April 2026.Abstract figure legend Maternal obesity (MO) creates a pro‐inflammatory embryonic environment, which activates the activator protein 1 (AP‐1) transcription factor complex, resulting in reduced expression of key neurogenic regulators and impaired neuronal differentiation.
Li‐Wei Chen +9 more
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On the Mean‐Field Limit of Consensus‐Based Methods
Mathematical Methods in the Applied Sciences, Volume 49, Issue 5, Page 4214-4240, 30 March 2026.ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
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