Results 81 to 90 of about 195,183 (314)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian +6 more
wiley +1 more source
IEEE Access, 2020 A non-iterative learning algorithm for artificial neural networks is an alternative to optimize the neural network parameters with extremely fast convergence time.
Syukron Abu Ishaq Alfarozi +3 more
doaj +1 more source
Performance of the EP-MBCJR algorithm in time dispersive MIMO office environments [PDF]
, 2006 This work investigates the performance of a new reduced-complexity trellis decoding algorithm (termed the EPMBCJR algorithm) when employed for the task of equalization in an indoor multiple input multiple output wireless environment.
Vithanage, CM +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Multisystemic smooth muscle dysfunction syndrome (MSMDS) is an ultra‐rare, ACTA2‐related disorder characterized by severe cerebrovascular disease, aortic aneurysms, and smooth muscle dysfunction. Using molecular dynamics simulations and in silico drug screening, we identified that sapropterin dihydrochloride (Kuvan) is a candidate capable of ...
Moran Hausman‐Kedem +9 more
wiley +1 more source
Iterative Solutions of a Set of Matrix Equations by Using the Hierarchical Identification Principle
Abstract and Applied Analysis, 2014 This paper is concerned with iterative solution to a class of the real coupled matrix equations. By using the hierarchical identification principle, a gradient-based iterative algorithm is constructed to solve the real coupled matrix equations A1XB1 ...
Huamin Zhang
doaj +1 more source
Iterative Code Acquisition for DS-UWB Downlink using Multiple-Component Decoders [PDF]
, 2008 Iterative code acquisition schemes employing beneficially chosen higher-order generator polynomials and multiple-component decoders are analysed in terms of the correct detection probability of the direct sequence-ultra-wideband (DS-UWB) downlink.
Won, S.H., Hanzo, L
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Arthritis Care &Research, EarlyView.Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein +7 more
wiley +1 more source
Quantum search algorithms, quantum wireless, and a low-complexity maximum likelihood iterative quantum multi-user detector design [PDF]
, 2013 The high complexity of numerous optimal classic communication schemes, such as the maximum likelihood (ML) multiuser detector (MUD), often prevents their practical implementation.
Botsinis, Panagiotis +2 more
core +1 more source
Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)
Arthritis Care &Research, Accepted Article.Objective VEXAS syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures. A VEXAS‐specific disease activity index (DAI) is an essential tool for reliably capturing changes in disease ...
Kevin Byram +25 more
wiley +1 more source
Frequency domain iterative tuning for active noise and vibration control [PDF]
, 2008 In this thesis a new adaptive control method, called Iterative Tuning in the Frequency Domain (FD-IT), is proposed for Active Noise and Vibration Control (ANVC).
Luo, Jian
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