Results 111 to 120 of about 293,454 (315)
FEBS Open Bio, EarlyView.Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas +6 more
wiley +1 more source
Optimizing XML Compression in XQueC [PDF]
, 2008 We present our approach to the problem of optimizing compression choices in the context of the XQueC compressed XML database system. In XQueC, data items are aggregated into containers, which are further grouped to be compressed together. This way, XQueC
Bonifati, Angela +3 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Spinal cord infarction (SCI) is a rare but devastating myelopathy, characterized by a high disability rate and an unfavorable prognosis. It has often been underdiagnosed and misdiagnosed as idiopathic transverse myelitis (ITM). This study aimed to describe the clinical features, radiological biomarkers, treatments, and functional ...
Zeqiang Ji +13 more
wiley +1 more source
Efficient reconfigurable architectures for 3D medical image compression [PDF]
, 2010 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Recently, the more widespread use of three-dimensional (3-D) imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT ...
Ahmad, Afandi, Afandi, Ahmad
core
Research on Rapid Detection of Underwater Targets Based on Global Differential Model Compression
Journal of Marine Science and EngineeringLarge-scale deep learning algorithms have emerged as the primary technology for underwater target detection, demonstrating exceptional inference effectiveness and accuracy.
Weishan Li +5 more
doaj +1 more source
Deep compression of convolutional neural networks with low‐rank approximation
ETRI Journal, 2018 The application of deep neural networks (DNNs) to connect the world with cyber physical systems (CPSs) has attracted much attention. However, DNNs require a large amount of memory and computational cost, which hinders their use in the relatively low‐end ...
Marcella Astrid, Seung‐Ik Lee
doaj +1 more source
Retracted: DeepCompNet: A Novel Neural Net Model Compression Architecture. [PDF]
Comput Intell Neurosci, 2023 Intelligence And Neuroscience C.
europepmc +1 more source
Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang +22 more
wiley +1 more source
, 2012 Transient modeling methods can also be classified into two categories based on equation specifications. The first category of methods are non-equation based methods, in which one has to describe the underlying physics with fundamental equations ...
Aute, Vikrant +2 more
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Space-Efficient Re-Pair Compression [PDF]
, 2017 Re-Pair [5] is an effective grammar-based compression scheme achieving strong compression rates in practice. Let n, σ, and d be the text length, alphabet size, and dictionary size of the final grammar, respectively.
Bille, Philip +8 more
core +1 more source