Results 201 to 210 of about 296,860 (257)

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng, Diego Z. Carvalho, Shahid Karim, Anwar Chahal, Virend K. Somers   +4 more
wiley   +1 more source

Seasonal space use of gray wolves is concurrent with primary prey. [PDF]

Oecologia
Wehr NH, Moore SA, Romanski MC, Isaac EJ, Kellner KF, Kautz TM, Millspaugh JJ, Belant JL.   +7 more
europepmc   +1 more source

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
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, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

Hyperspectral data-driven corn nitrogen monitoring: application and interpretability analysis of multi-source feature optimization and stacked ensemble learning methods. [PDF]

Front Plant Sci
Kong H, Gu Y, Zhao P, Zheng Y, Tian L, Dong Q.   +5 more
europepmc   +1 more source

Joint MVMD-based optimal feature selection and FW-LS-TWSVM for motor imagery recognition. [PDF]

Sci Rep
Zhi J, Zhang Q, Li Y, Zhang J, Liu P, Nan J, Li Y, Li D.   +7 more
europepmc   +1 more source

Discrete wavelet transform-driven optimized deep learning-based framework for dyslexia detection using EEG signals. [PDF]

Front Neuroinform
Jan TG, Khan SM, Bhat SY, Wani ZA, Ansarullah SI, Alshmrany S, Khan S.   +6 more
europepmc   +1 more source

A Prospective Study of Comminuted Patellar Fractures Treated with Different Fixation Modalities: Functional Outcomes and Complications. [PDF]

J Orthop Case Rep
Gupta RK, Kalme B, Kumar A.
europepmc   +1 more source

Directional matching of swimming polarity provides a competitive advantage during bacterial magneto-aerotaxis. [PDF]

BMC Microbiol
Weigel C, Pfeiffer D.
europepmc   +1 more source

Monitoring phosphorus content in winter wheat using feature fusion and feature selection from UAV remote sensing imagery. [PDF]

Front Plant Sci
Su Y, Wang J, Yang Y, Yang J, Zhang J, Yang H, Duan Y, Han S, Yu K, Huang S, Jia L.   +10 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Constrained band selection for hyperspectral imagery

IEEE Transactions on Geoscience and Remote Sensing, 2006
Constrained energy minimization (CEM) has shown effective in hyperspectral target detection. It linearly constrains a desired target signature while minimizing interfering effects caused by other unknown signatures. This paper explores this idea for band selection and develops a new approach to band selection, referred to as constrained band selection (
Chein-I Chang
exaly   +2 more sources