Results 41 to 50 of about 243,135 (270)
A Second-Order Unsplit Godunov Scheme for Cell-Centered MHD: the CTU-GLM scheme [PDF]
, 2009 We assess the validity of a single step Godunov scheme for the solution of the magneto-hydrodynamics equations in more than one dimension. The scheme is second-order accurate and the temporal discretization is based on the dimensionally unsplit Corner ...
Mignone, A., Tzeferacos, P.
core +2 more sources
Hospital Readmission After Traumatic Brain Injury Hospitalization in Community‐Dwelling Older Adults
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To examine the risk of hospital readmission after an index hospitalization for TBI in older adults. Methods Using data from the Atherosclerosis Risk in Communities (ARIC) study, we used propensity score matching of individuals with an index TBI‐related hospitalization to individuals with (1) non‐TBI hospitalizations (primary analysis)
Rachel Thomas +7 more
wiley +1 more source
Silva Fennica, 1996 The prescribed burning of a 7.3 ha clear-cut and a 1.7 ha partially cut forest (volume 150 m3/ha) was carried out in Evo (61 °12'N, 25°07'E) on 1 June 1992. The forest was a mesic Myrtillus site type forest dominated by Norway spruce (Picea abies (L.) H.
Ilkka Vanha-Majamaa +3 more
doaj +1 more source
Comparative analysis of US real-world dosing patterns and direct infusion-related costs for matched cohorts of rheumatoid arthritis patients treated with infliximab or intravenous golimumab. [PDF]
, 2019 Purpose: The objectives of this study were to evaluate and compare treatment patterns and infusion-related health care resource expenditures for rheumatoid arthritis (RA) patients initiating golimumab for intravenous use (GLM-IV) and infliximab (IFX ...
DeHoratius, Raphael J. +6 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano +11 more
wiley +1 more source
Trophic ecology of the European hake in the Gulf of Lions, northwestern Mediterranean Sea
Scientia Marina, 2017 The European hake, Merluccius merluccius, is an important resource for Mediterranean fisheries. This study focuses on juvenile and adult hake feeding ecology in the Gulf of Lions, using information from scientific surveys carried out during two seasons ...
Capucine Mellon-Duval +6 more
doaj +1 more source
Military Medical Research, 2022 Granulomatous lobular mastitis (GLM) is a rare and chronic benign inflammatory disease of the breast. Difficulties exist in the management of GLM for many front-line surgeons and medical specialists who care for patients with inflammatory disorders of ...
Qian-Qian Yuan +65 more
doaj +1 more source
On algebraic supergroups, coadjoint orbits and their deformations [PDF]
, 2003 In this paper we study algebraic supergroups and their coadjoint orbits as affine algebraic supervarieties. We find an algebraic deformation quantization of them that can be related to the fuzzy spaces of non commutative geometry.Comment: 37 pages, AMS ...
Fioresi, R., Lledo, M. A.
core +3 more sources
Impact of Positive Lifestyle Behaviors on Direct Health Care Cost Savings for Low Back Pain
Arthritis Care &Research, EarlyView.Objective This study aimed to investigate the relationship between a previously purpose‐developed lifestyle behavior scale and health care cost savings related to low back pain (LBP). Methods This longitudinal study used data from the Australian Twin Back (AUTBACK) study. LBP and lifestyle behavior measures were collected at baseline. Physical activity
Ye Tian +8 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source