Results 131 to 140 of about 502,069 (324)
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source
SparseD: Sparse Attention for Diffusion Language Models
While diffusion language models (DLMs) offer a promising alternative to autoregressive models (ARs), existing open-source DLMs suffer from high inference latency. This bottleneck is mainly due to the attention's quadratic complexity with respect to context length in computing all query-key pairs.
Zeqing Wang +4 more
openaire +2 more sources
Control of sparseness for feature selection
In linear discriminant (LD) analysis high sample size/feature ratio is desirable. The linear programming procedure (LP) for LD identification handles the curse of dimensionality through simultaneous minimization of the L1 norm of the classification ...
Baumgartner, Richard +7 more
core +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Predefined sparseness in recurrent sequence model
Inducing sparseness while training neural networks has been shown to yield models with a lower memory footprint but similar effectiveness to dense models.
Chris Develder +7 more
core +1 more source
Boundaries play a crucial role in various image-based tasks, but many existing non-learning-based boundary detection methods underperform in recognising authentic boundaries from a complex background. In this study, the authors address this problem using
Chen, Yong-guang +5 more
core +1 more source
Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach +23 more
wiley +1 more source
HIGHLY SPARSE REPRESENTATIONS FROM DICTIONARIES ARE UNIQUE AND INDEPENDENT OF THE SPARSENESS MEASURE
Highly sparse representations from dictionaries are unique and independent of the sparseness ...
M. Nielsen +2 more
core +2 more sources
Multipartite information in sparse SYK models
In quantum field theories that admit gravity dual, specific inequalities involving entanglement entropy between arbitrary disjoint spatial regions hold. An example is the negativity of tripartite information.
Norihiro Iizuka +3 more
doaj +1 more source
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi +9 more
wiley +1 more source

