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
Solving multi-scenario hybrid flow shop scheduling problem based on an improved probe machine model. [PDF]
Tian X, Kong Y, Liu X.
europepmc +1 more source
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
A hybrid evolution strategies algorithm for non-permutation flow shop scheduling problems. [PDF]
Khurshid B+4 more
europepmc +1 more source
A multipopulation PSO based memetic algorithm for permutation flow shop scheduling. [PDF]
Liu R, Ma C, Ma W, Li Y.
europepmc +1 more source
An improved sheep flock heredity algorithm for job shop scheduling and flow shop scheduling problems
Chandramouli Anandaraman
openalex +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
Application of a novel metaheuristic algorithm inspired by Adam gradient descent in distributed permutation flow shop scheduling problem and continuous engineering problems. [PDF]
Xia Y, Ji Y.
europepmc +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