Results 201 to 210 of about 1,092,233 (309)
Harnessing Artificial Intelligence and Machine Learning for Identifying Quantitative Trait Loci (QTL) Associated with Seed Quality Traits in Crops. [PDF]
Kassem MA.
europepmc +1 more source
Cutaneous Phosphorylated Alpha‐Synuclein in Lewy Body Dementia
ABSTRACT Objective To determine the test performance of cutaneous phosphorylated alpha‐synuclein (P‐SYN) in dementia with Lewy bodies (DLB), individuals with reduced Montreal Cognitive Assessment (MoCA) and healthy controls. Methods This is the first subgroup analysis of the Synuclein‐One study, a prospective, blinded study evaluating P‐SYN detection ...
Christopher H. Gibbons +31 more
wiley +1 more source
Editorial: Omics in seed development: challenges and opportunities for improving of seed quality and yield in model and crop plants. [PDF]
Yang C, Hu Z, Datla R, Xiang D.
europepmc +1 more source
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Seed quality and relative lignan profiles of sesame prospected from northern Ghana. [PDF]
Sintim HO.
europepmc +1 more source
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang +10 more
wiley +1 more source
Impact of Simultaneous Nutrient Priming and Biopriming on Soybean Seed Quality and Health. [PDF]
Tamindžić G +9 more
europepmc +1 more source
Quality garden seeds ; Grand Rapids Growers' quality seeds ; Seeds that grow [bulletin] /
openaire +2 more sources
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source

