Results 181 to 190 of about 1,055,712 (266)

Power Loss of Bevel Gear Drives

The Proceedings of the Machine Design and Tribology Division meeting in JSME, 2002
NAGAMURA, Kazuteru, IKEJYO, Kiyotaka, KIRA, Kenji, SHOICHI, Takahiro   +3 more
openaire   +2 more sources

Respiratory pulsations affect fontan connection power loss: using real time velocity mapping to improve the accuracy of computational simulations [PDF]

J Cardiovasc Magn Reson, 2015
Tang E, Wei Z, Whitehead K, Veneziani A, Fogel M, Yoganathan A.   +5 more
europepmc   +1 more source

The Gut–Heart Axis in Systemic Sclerosis: Evidence From a Large Prospective Early Disease Cohort

Arthritis Care &Research, EarlyView.
Objective Cardiac involvement significantly impacts prognosis in systemic sclerosis (SSc), highlighting the need for early risk stratification. Gastrointestinal (GI) symptoms are common and often manifest early. Emerging data suggest a link between GI and cardiac manifestations, possibly through shared mechanisms like dysautonomia.
Francesca R. Di Ciommo, Ashish P. Balar, Aidan K. Strother, Subhash Kulkarni, Michael Hughes, Brian Skaug, Maureen D. Mayes, Shervin Assassi, Ali Y. Ayla, Zsuzsanna H. McMahan   +9 more
wiley   +1 more source

Determinants of Body Mass Index in Early Systemic Sclerosis: Implications for Nutritional Risk Stratification

Arthritis Care &Research, EarlyView.
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, Meng Zhang, Bingrui Chen, Claudia Pedroza, Brian Skaug, Maureen Mayes, Michael Hughes, Shervin Assassi, Zsuzsanna H. McMahan   +8 more
wiley   +1 more source

Longitudinal Changes in Adiposity After a Youth Sport‐Related Knee Injury: Informing Posttraumatic Osteoarthritis Prevention

Arthritis Care &Research, EarlyView.
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale, Nuria E. J. Jansen, Christina Y. Le, Leo Lu, Hui Xie, Marienke van Middelkoop, Jackie L. Whittaker   +6 more
wiley   +1 more source

Accurate alpha-particle stopping power measurements in graphenic carbon foils and their application to high-precision, non-destructive areal density determination. [PDF]

Sci Rep
Botsiou K, Purushothaman S, Geissel H, Dickel T, Enders J, Haettner E, Morrissey DJ, Saifulin M, Scheidenberger C, Tomut M, Weick H, Zhao J.   +11 more
europepmc   +1 more source

Employment Trajectories of Patients with Systemic lupus erythematosus (SLE) and Factors Driving Transitions Between States

Arthritis Care &Research, Accepted Article.
Objective Systemic lupus erythematosus (SLE) significantly impacts employment capacity. This study aimed to investigate the impact of burden of disease activity, damage, and treatment on employment outcomes and transitions in patients with SLE. Materials and Methods Using data from a single center, we analyzed employment transitions, adjusted mean ...
Javier Mencia‐Ledo, Zahi Touma, Laura Whittall Garcia, Dafna Gladman, Behdin Nowrouzi‐Kia   +4 more
wiley   +1 more source

Implementation of Modified Effective Butterfly Optimizer in Solving Multi-Objective Pareto Optimal Power Flow Problem with Renewable Uncertainties. [PDF]

Biomimetics (Basel)
Işıker H, Akdağlı A, Yamaçlı V, Yetgin Z, Barutçu İÇ, Abacı K, Gözükara F.   +6 more
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source

Improvement of Output Characteristics of Dual-Loss-Modulated Laser with Heterostructure Saturable Absorber at 1.3 μm. [PDF]

Materials (Basel)
Zhang G, Yang L, Wang W, Weng J, Bai F, Jiao Z.   +5 more
europepmc   +1 more source