Results 201 to 210 of about 827,605 (367)
Cytokine, Chemokine, and Neurofilament Light Chain Signatures in LGI1 Autoimmune Encephalitis
ABSTRACT Objectives To investigate the value of cytokine, chemokine, and neurofilament light chain (NfL) concentrations in predicting relapse risk, chronic epilepsy, and functional impairment in LGI1 autoimmune encephalitis (AE). Methods Cytokines/chemokines (IL‐1‐beta, IL‐2, IL‐4, IL‐5, IL‐6, IL‐8/CXCL8, IL‐10, IL‐12p70, IL‐13, IL‐17A, GM‐CSF, TNF ...
Albert Aboseif+17 more
wiley +1 more source
Calculation of the 𝓐 term of magnetic circular dichroism based on time dependent-density functional theory I. Formulation and implementation [PDF]
Michael Seth+5 more
openalex +1 more source
Objective Our objective was to explore moderators and mediators influenced changes in pain and function in people with knee osteoarthritis (OA) receiving a new model of primary care service delivery (Optimizing Primary Care Management of Knee Osteoarthritis [PARTNER]), at 12 months (ACTRN: 12617001595303).
Abdolhay Farivar+12 more
wiley +1 more source
Time-dependent four-component relativistic density functional theory for excitation energies [PDF]
Jun Gao+3 more
openalex +1 more source
Purpose We assessed whether circulating adipokines are associated with incident fractures in patients with rheumatoid arthritis (RA). Methods Three adipokines (adiponectin, leptin, fibroblast growth factor [FGF]‐21) were measured using banked enrollment serum from participants in a longitudinal RA cohort.
Joshua F. Baker+9 more
wiley +1 more source
Excitonic effects in time-dependent density-functional theory: An analytically solvable model [PDF]
Ralf Stubner+2 more
openalex +1 more source
Excitation energies of π-conjugated oligomers within time-dependent current-density-functional theory [PDF]
Meta van Faassen, P. L. de Boeij
openalex +1 more source
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
wiley +1 more source