Results 151 to 160 of about 1,483,664 (290)
ABSTRACT Objectives Repetitive transcranial magnetic stimulation (rTMS) is a non‐invasive brain stimulation strategy with a demonstrated potential to reinforce the residual pathways after a spinal cord injury (SCI). A preclinically tested high‐frequency (15 Hz) rTMS (15 Hz rTMS) protocol was shown to induce corticospinal tract axon regeneration growth ...
Nabila Brihmat +8 more
wiley +1 more source
Understanding avian vision: the key to using light in bird management [PDF]
F. Blackwell Bradley
openalex +1 more source
ABSTRACT Objective To investigate the overall use of prescription medications among individuals with multiple sclerosis compared to the general population, with a focus on treatments beyond disease‐modifying therapies. Methods We conducted a nationwide, registry‐based study in Denmark.
Josefine Windfeld‐Mathiasen +4 more
wiley +1 more source
The rs10191329 Risk Allele Is Associated With Pronounced Retinal Layer Atrophy in Multiple Sclerosis
ABSTRACT Objective To investigate whether the rs10191329 risk allele in the DYSF–ZNF638 locus, which is implicated in central nervous system resilience rather than immune‐mediated pathology, is associated with retinal layer thinning, a biomarker of neuroaxonal damage in relapsing multiple sclerosis (RMS). Methods From a prospective observational study,
Gabriel Bsteh +22 more
wiley +1 more source
BcDKM: Blockchain-Based Dynamic Key Management Scheme for Crowd Sensing in Vehicular Sensor Networks. [PDF]
Zhang M, Meng R, Zhang L.
europepmc +1 more source
ABSTRACT Background Stroke is a leading cause of long‐term disability in adults, with upper limb hemiparesis being a common impairment. Traditional training is mostly aimed at paralyzed limbs, but the effect of bilateral training is still unclear.
Fangfang Qian +7 more
wiley +1 more source
A Public-key based Information Management Model for Mobile Agents
Diego Rodriguez, Igor Sobrado
openalex +2 more sources
Self-organized public-key management for mobile ad hoc networks [PDF]
Srđjan Čapkun +2 more
openalex +1 more source
ICU‐EEG Pattern Detection by a Convolutional Neural Network
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano +5 more
wiley +1 more source

