Results 211 to 220 of about 161,061 (357)
A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems. [PDF]
Sci RepKhurshid B +4 more
europepmc +1 more source
Flow Shop Scheduling Problem in Neutrosophic Environment Using Trapezoidal Fuzzy Numbers
, 2020 S. Santhi
openalex +1 more source
Clinical Characteristics and Outcomes of Early‐Onset Versus Late‐Onset LGI1‐Antibody Encephalitis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Leucine‐rich glioma‐inactivated 1 antibody (LGI1‐Ab) encephalitis predominantly affected older individuals, but has also been reported in younger patients. However, the demographic, clinical, and prognostic characteristics of early‐onset LGI1‐Ab encephalitis have yet to be systematically elucidated. This study aims to systematically
Yu Kong +7 more
wiley +1 more source
The Relationship Between Inflammation and Central Nervous System in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Aim Multiple sclerosis is an autoimmune demyelination disease that is seen especially in the young population and has a progressive course, causing motor, sensory, and cognitive deficits. In the literature, the pathogenesis of MS disease and the interconnection between the immune and central nervous system in the disease have not been fully ...
Gamze Ansen +5 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective Systemic sclerosis (SSc) is a rare autoimmune disease characterized by tissue fibrosis, vasculopathy, and immune dysregulation. Our objectives were to quantify the overall and site‐specific cancer risks in patients with SSc compared to the general population, examine temporal trends in cancer incidence following SSc diagnosis, and explore ...
Jihyun Na +4 more
wiley +1 more source
A hybrid bio-geography based optimization for permutation flow shop scheduling [PDF]
, 2011 Minghao Yin, Li Xiangtao
openalex +1 more source
Arthritis Care &Research, EarlyView.This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah +5 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim +18 more
wiley +1 more source
Optimizing for Blocking Flexible Flow Shop Scheduling Problem Based on Petri Net and GA [PDF]
, 2017 Ze Tao, Zhou Qiu-zhong
openalex +1 more source
Arthritis Care &Research, EarlyView.Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli +8 more
wiley +1 more source