Results 121 to 130 of about 6,119,375 (410)
A Bilevel Programming Approach for Optimizing Multi-Satellite Collaborative Mission Planning
SensorsWith the burgeoning of remote sensing and space technology, multi-satellite collaborative mission planning, which is the key to achieving efficient Earth observation, has become increasingly intricate due to the expanding complexity and volume of ...
Yi Wang, Desheng Liu
doaj +1 more source
HALO: Report and Predicted Response Times [PDF]
arXiv, 2015 HALO: Heterogeneity-Aware Load Balancing is a paper that proposes a class of heterogeneity-aware Load Balancers (LBs) for cluster systems. LBs that are heterogeneity-aware are able to detect when servers differ in speeds and in number of cores. Response times for heterogeneous systems are calculated and presented.
arxiv
Diagnostic Challenge in Frontal Variant Alzheimer's Disease With Low Amyloid‐β PET Retention
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Diagnosing frontal variant Alzheimer's disease (fvAD) is difficult and could be even more difficult when amyloid‐beta (Aβ) PET retention is low. A 63‐year‐old woman presenting with a 3‐year history of apathy and memory impairment showed executive dysfunction, memory impairment, and severe bilateral frontotemporal atrophy on MRI.
Ryosuke Shimasaki +5 more
wiley +1 more source
Dorsal pulvinar inactivation leads to spatial selection bias without perceptual deficit
Scientific ReportsThe dorsal pulvinar has been implicated in visuospatial attentional and perceptual confidence processing. Pulvinar lesions in humans and monkeys lead to spatial neglect symptoms, including an overt spatial saccade bias during free choices.
Kristin Kaduk, Melanie Wilke, Igor Kagan
doaj +1 more source
SensorsInverse synthetic aperture radar (ISAR) technology is widely used in the field of target recognition. This research addresses the image reconstruction error in sparse imaging for bistatic radar systems. In this paper, sparse imaging technology is studied,
Hongxing Hao +3 more
doaj +1 more source
Syllable-aware Neural Language Models: A Failure to Beat Character-aware Ones [PDF]
arXiv, 2017 Syllabification does not seem to improve word-level RNN language modeling quality when compared to character-based segmentation. However, our best syllable-aware language model, achieving performance comparable to the competitive character-aware model, has 18%-33% fewer parameters and is trained 1.2-2.2 times faster.
arxiv
Assessing direct contributions of morphological awareness and prosodic sensitivity to children’s word reading and reading comprehension [PDF]
, 2018 We examined the independent contributions of prosodic sensitivity and morphological awareness to word reading, text reading accuracy, and reading comprehension. We did so in a longitudinal study of English-speaking children (N = 70).
Andrew John Holliman +15 more
core +3 more sources
Cerebello‐Prefrontal Connectivity Underlying Cognitive Dysfunction in Spinocerebellar Ataxia Type 2
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinocerebellar ataxia type 2 (SCA2) is a hereditary cerebellar degenerative disorder, with motor and cognitive symptoms. The constellation of cognitive symptoms due to cerebellar degeneration is named cerebellar cognitive affective syndrome (CCAS), which has increasingly been recognized to profoundly impact patients' quality of life;
Ami Kumar +7 more
wiley +1 more source
Measuring away an attentional confound? [PDF]
, 2017 A recent fMRI study by Webb et al. (Cortical networks involved in visual awareness independent of visual attention, Proc Natl Acad Sci U S A 2016;113:13923–28) proposes a new method for finding the neural correlates of awareness by matching atten- tion ...
Block, Ned +7 more
core +1 more source