The flow downstream from aortic stenoses is characterised by the onset of shear-induced turbulence that leads to irreversible pressure losses. These extra losses represent an increased resistance that impacts cardiac efficiency. A novel approach is suggested in this study to accurately evaluate the pressure gradient profile along the aorta centreline using modelling of haemodynamic stress at scales that are smaller than the typical resolution achieved in experiments. We use benchmark data obtained from direct numerical simulation (DNS) along with results from in silico and in vitro threedimensional particle tracking velocimetry (3D-PTV) at three voxel sizes, namely 750 microns, 1 mm and 1.5 mm. A differential equation is derived for the pressure gradient, and the subvoxel-scale (SVS) stresses are closed using the Smagorinsky and a new refined model. Model constants are optimised using DNS and in silico PTV data and validated based on pulsatile in vitro 3D-PTV data and pressure catheter measurements. Theivo, in vitro 4D flow data or in silico data with limited spatial resolution to assess pressure loss and SVS stresses in disturbed aortic blood flow. The knowledge of individual joint motion may help to understand the articular physiology and to design better treatments and medical devices. Measurements of in-vivo individual motion are nowadays invasive/ionizing (fluoroscopy) or imprecise (skin markers). We propose a new approach to derive the individual knee natural motion from a three-dimensional representation of articular surfaces. We hypothesize that tissue adaptation shapes articular surfaces to optimize load distribution. Thus, the knee natural motion is obtained as the envelope of tibiofemoral positions and orientations that minimize peak contact pressure, i.e. that maximize joint congruence. We investigated four in-vitro and one in-vivo knees. Articular surfaces were reconstructed from a reference MRI. Natural motion was computed by congruence maximization and results were validated versus experimental data, acquired through bone im-planted markers, in-vitro, and single-plane fluoroscopy, in-vivo. In two cases, one of which in-vivo, maximum mean absolute error stays below 2.2 and 2.7 mm for rotations and translations, respectively. The remaining knees showed differences in joint internal rotation between the reference MRI and experimental motion at 0 flexion, possibly due to some laxity. The same difference is found in the model predictions, which, however, still replicate the individual knee motion. The proposed approach allows the prediction of individual joint motion based on non-ionizing MRI data. This method may help to characterize healthy and, by comparison, pathological knee behavior. Moreover, it may provide an individual reference motion for the personalization of musculoskeletal models, opening the way to their clinical application. This method may help to characterize healthy and, by comparison, pathological knee behavior. Moreover, it may provide an individual reference motion for the personalization of musculoskeletal models, opening the way to their clinical application.Viral testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), particularly early in the COVID-19 pandemic, was limited by supply of reagents. We pooled nasopharyngeal samples from patients at low risk of SARS-CoV-2 infection in groups of 3 for testing. Three weeks of testing using this strategy resulted in 530 patient tests in 179 cartridges; 4 positive test groups required the use of 11 additional cartridges with an overall positive rate of 0.8% in a low-risk population. This strategy resulted in the use of 340 fewer cartridges than if each test were performed on one patient sample. Pooled testing of low-risk populations allows for continued testing even when supplies are relatively scarce. Excess days in acute care (EDAC) after total joint arthroplasty (TJA) represent a large economic burden. We developed an Orthopedic EDAC program that triages TJA patients to the appropriate service line (orthopedic vs medicine) and level of care (observation vs inpatient) on re-presentation. We developed and used evidence-based protocols for the treatment of TJA patients who are rehospitalized. We defined Orthopedic EDAC as the length of stay (LOS) during readmission and observation stays. Our target population included TJA and revision TJA patients. Patients between April 2017 and September 2017 and between October 2017 and September 2018 were defined as pre-implementation and post-implementation of the Orthopedic EDAC program, respectively. A total of 2,662 patients underwent TJA and revision TJA during the pre-implementation and post-implementation periods. https://www.selleckchem.com/products/zotatifin.html Twenty-three patients were managed on observation status during the study period. Readmissions decreased from 49 (6.1%) during pre-implementation to 37 (2.0%) during post-implementation (P = .004). By design, more rehospitalized patients were on the orthopedic surgery service after implementation of the Orthopedic EDAC program (n = 49; 70%) versus before (n = 22; 35%; P = .028). EDAC LOS decreased from 7.75 days to 4.73 days (P = .005). In this single-center, before-after pilot of a novel Orthopedic EDAC program, we demonstrated a reduction in readmissions and Orthopedic EDAC LOS, as well as improved continuity of care for TJA patients on representation. In this single-center, before-after pilot of a novel Orthopedic EDAC program, we demonstrated a reduction in readmissions and Orthopedic EDAC LOS, as well as improved continuity of care for TJA patients on representation. Native Hawaiian and Asian American populations are the most understudied racial/ethnic groups in chronic kidney disease (CKD) research. The objective of our study was to describe sociodemographic and comorbidity risk factors of chronic kidney disease among 2,944 community-dwelling Native Hawaiian, Filipino, Chinese, Japanese, and non-Hispanic white participants who attended the National Kidney Foundation of Hawaii Kidney Early Detection Screening program during 2006-2017. We used multivariable logistic regression models to examine the association between age, sex, race/ethnicity, and the major risk factors for CKD (diabetes, hypertension, cardiovascular disease, hypercholesterolemia, overweight and obesity, and smoking) with elevated urine albumin to creatinine ratio (ACR) among adults aged 18 or older in 5 racial/ethnic groups in Hawaii Native Hawaiian, Filipino, Chinese, Japanese, and non-Hispanic white. In the age- and sex-adjusted model, Native Hawaiian participants were significantly more likely than non-Hispanic white participants to have an ACR of 30.