Results 201 to 210 of about 6,074,163 (287)
NOTCH2NLC Repeat Expansions in Parkinsonian Disorders: Clinical and Neuroimaging Characteristics
ABSTRACT Objective Neuronal intranuclear inclusion disease (NIID) is a neurodegenerative disorder caused by NOTCH2NLC GGC repeat expansions, with heterogeneous clinical manifestations, including parkinsonism. Recent studies have identified NOTCH2NLC repeat expansions in patients with Parkinson's disease (PD) and atypical parkinsonism (aPM), suggesting ...
Han‐Lin Chiang +7 more
wiley +1 more source
Automatic generation of learning path for teaching informatics at university. [PDF]
Aliyeva A, Abbasov A.
europepmc +1 more source
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
Equitable mosaic: the ideal for medical pluralism. [PDF]
Josyula LK.
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
Knowledge-based simulation to assist in system design identification
Nantawan N. Kwanjai, Rosemary H. Wild
openalex +1 more source
Curriculum knowledge representation and manipulation in knowledge-based tutoring systems [PDF]
Gang Zhou, J.T.-L. Wang, Peter A. Ng
openalex +1 more source
ABSTRACT Objective Autosomal dominant progranulin (GRN) pathogenic variants are a genetic cause of frontotemporal lobar degeneration. Though clinical trials for GRN‐related therapies are underway, there is an unmet need for biomarkers that can predict symptom onset and track disease progression.
Taru M. Flagan +46 more
wiley +1 more source
Recommendation of deep reinforcement learning based on value function considering error reduction. [PDF]
Zhou J, Shen D, Guo Y, Wu Y, Ma J.
europepmc +1 more source
GEOEXPLORER: A Knowledge-based System to Support Exploration and Assessment of Supergene Deposits
Wolfdietrich Skala +4 more
openalex +2 more sources

