Results 161 to 170 of about 3,152,811 (245)

Stability of Operating Noise for Packaged MEMS Gyroscopes in Low-Speed Vehicle Motion Scenarios. [PDF]

Micromachines (Basel)
Yang X, Zhang Y, Liu Z, Wang Y, Li AN, Pang Y.   +5 more
europepmc   +1 more source

Impact of Six‐Month Monitoring Compared to Three‐Month Monitoring of Laboratories During Methotrexate Therapy

Arthritis Care &Research, EarlyView.
Objective To evaluate whether extending the American College of Rheumatology–recommended monitoring interval for complete blood count and liver function tests in patients receiving methotrexate (MTX) affects timely detection of medication‐related toxicity.
Spencer Simko, Ray Zhang, Sohini Mukherjee, Puneet Bajaj, Bonnie L. Bermas   +4 more
wiley   +1 more source

Optimization of milling operation parameters using Python-assisted GRA for enhanced surface quality and material behaviour. [PDF]

RSC Adv
Selvaraj G, Ponnusamy P, Thirumalaisamy R, Karuppusamy M, Sampson J, Manikandan P, Joy N, Sundararajan K, Mausam K, Palanisamy S, Alagarsamy A, Belay M.   +11 more
europepmc   +1 more source

Individuals With Multijoint Osteoarthritis Demonstrate Larger Longitudinal Declines in Frailty: Data From the Canadian Longitudinal Study on Aging

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to test the hypothesis that multijoint osteoarthritis would modify the relation between time and frailty progression, in which more affected joints would lead to larger declines over six years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell, Rebecca Moyer, Myles W. O'Brien   +2 more
wiley   +1 more source

Comprehensive Experimental Investigation of Rosehip (<i>Rosa canina</i> L.) Seed Oil as a Novel Biodiesel Feedstock: Engine Performance, Combustion, Emission, and Exergy Analyses. [PDF]

Glob Chall
Güner E.
europepmc   +1 more source

Extending Service Beyond Active Duty: Generalizability of Rheumatoid Arthritis Research Conducted Among US Veterans

Arthritis Care &Research, EarlyView.
Biomedical research involving US veterans continues to advance health care beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both veteran ...
Austin M. Wheeler, Joshua F. Baker, Jennifer L. Barton, Maria I. Danila, Tate M. Johnson, Kamini Kuchinad, Kaleb Michaud, Amir A. Razmjou, J. Steuart Richards, Namrata Singh, Isaac D. Smith, Katherine D. Wysham, Grant W. Cannon, Bryant R. England, Amy Joseph, Deana Lazaro, Katherine P. Liao, Courtney Loecker, Andreas Reimold, Beth I. Wallace, Ted R. Mikuls   +20 more
wiley   +1 more source

Sliding Mode Observer with Exponential Reaching Law for Speed Estimation of a Six-Phase Induction Machine. [PDF]

Sensors (Basel)
Delorme L, Ayala M, Gonzalez O, Rodas J, Fleitas A, Gregor R, Hernandez JC.   +6 more
europepmc   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Numerical Investigation of Differential Speed Coupling Mechanisms in a 600 L Eccentric Four-Shaft Mixer for High-Viscosity Polyurethane Adhesives. [PDF]

Materials (Basel)
Luo Y, Fan L, He B, Fan X, Qiu F, Liu R.
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, Marco Zaffalon   +3 more
wiley   +1 more source