Results 161 to 170 of about 12,241,994 (329)
Testing theories of labour market matching [PDF]
This paper estimates a model of two-sided search using micro-level data for a well-defined labour market. It examines the assumption of random matching and contrasts it with the stock-flow (or non-random) matching model of Coles and collaborators.
Upward, Richard +3 more
core
The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases
Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Burak Kundakci +25 more
wiley +1 more source
Objective Gastrointestinal (GI) involvement can lead to malnutrition in patients with systemic sclerosis (SSc). Body mass index (BMI) remains the most widely used marker to screen nutritional status. We aimed to identify predictors of lower BMI in patients with SSc. Methods Patients with SSc from a prospective US cohort meeting 2013 American College of
Ali Y. Ayla +8 more
wiley +1 more source
Factorization of a Characteristic Polynomial by Random Search One of Its Trinomial Divisors
In the paper the application of Monte Carlo approach for random search algorithms to finding a pair of conjugated roots of a characteristic polynomial (ChP) is presented. The proposed technique is oriented only to ChPs with real coefficients.
Georgiev, Georgi +3 more
core
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
Normal and tumoral melanocytes exhibit q-Gaussian random search patterns. [PDF]
da Silva PC +4 more
europepmc +1 more source
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
A stacking based deep learning framework integrating random search neural architecture search for meniscus tear diagnosis. [PDF]
Seyyarer E, Genç H, Ayata F.
europepmc +1 more source
Random search algorithm for solving the nonlinear Fredholm integral equations of the second kind. [PDF]
Hong Z, Yan Z, Yan J.
europepmc +1 more source
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil +7 more
wiley +1 more source

