Results 141 to 150 of about 4,878,308 (296)
Enhancing variational quantum state diagonalization using reinforcement learning techniques
The variational quantum algorithms are crucial for the application of NISQ computers. Such algorithms require short quantum circuits, which are more amenable to implementation on near-term hardware, and many such methods have been developed.
Akash Kundu +6 more
doaj +1 more source
Diffuse MRI Edema Predicts Relapse in Cerebral Amyloid Angiopathy–Related Inflammation
ABSTRACT Objective To identify MRI predictors of relapse and quantify relapse and mortality risk in cerebral amyloid angiopathy–related inflammation (CAA‐RI). A secondary objective was to assess the association between mycophenolate mofetil use and relapse risk. Methods We performed a retrospective cohort study of 36 patients with CAA‐RI treated at the
G. Abbas Kharal +10 more
wiley +1 more source
ABSTRACT Background The clinical relevance of MGMT promoter methylation in IDH‐mutant gliomas remains controversial in the era of molecular classification. We aimed to systematically evaluate its clinical relevance by integrating quantitative assessment, cutoff exploration, and adjustment for clinical confounding.
Haihui Jiang +7 more
wiley +1 more source
Glucagon‐Like Peptide‐1 Receptor Agonists in Multiple Sclerosis: A Topical Narrative Review
ABSTRACT The glucagon‐like peptide‐1 (GLP‐1) receptor agonists (RAs) are a relatively new class of drugs that were initially approved by the US Food and Drug Administration to improve glycemic control in patients with type 2 diabetes mellitus and, subsequently, weight reduction in patients with obesity.
Audrey Y. Chang, Farrah J. Mateen
wiley +1 more source
New perspectives on Web search engine research [PDF]
Purpose–The purpose of this chapter is to give an overview of the context of Web search and search engine-related research, as well as to introduce the reader to the sections and chapters of the book.
Lewandowski, Dirk
core
Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical FI. Methods We used data from a single‐center prospective cohort of adult patients with SLE whose baseline visit ...
Grace Burns +2 more
wiley +1 more source
Objective Cam morphology, which is a significant risk factor for hip osteoarthritis, is commonly quantified by the alpha angle (AA). This study aims to explore the potential of the triangular index ratio (TIR) to quantify cam morphology on anteroposterior radiographs by assessing the association between TIR‐defined cam morphology and the development of
Jinchi Tang +7 more
wiley +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Hyperparameters tuning of random forest with harmony search in credit scoring [PDF]
Correct identification of defaulters and non-defaulters in the lending industry is a crucial task for financial institutions. Credit scoring is a tool utilized for credit granting decisions.
Goh, Rui Ying +2 more
core
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among patients with rheumatologic conditions and their associations with patient factors, patient‐reported perceived side effects, and positive impacts.
Susan Zhang +10 more
wiley +1 more source

