Results 151 to 160 of about 826,810 (310)

Performance analysis of control allocation using data‐driven integral quadratic constraints

Advanced Control for Applications, Volume 4, Issue 4, December 2022., 2022
Abstract A new method is presented for evaluating the performance of a nonlinear control allocation system within a linear control loop. To that end, a worst‐case gain analysis problem is formulated that can be readily solved by means of well‐established methods from robustness analysis using integral quadratic constraints (IQCs).
Manuel Pusch, Daniel Ossmann, Harald Pfifer   +2 more
wiley   +1 more source

Teori Motivasi – Expectancy Theory: Keterbatasan dan Implikasinya

, 2017
Wiyadi Wiyadi
openalex   +1 more source

Exploring user perceived beliefs, evaluations, and gratifications in ASM: applying expectancy-value approach for U&G theory on Mastodon instance Liker.social [PDF]

, 2023
Kai-Hung Liao
openalex   +1 more source

An extension to the OVH concept for knowledge‐based dose volume histogram prediction in lung tumor volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Volumetric‐modulated arc therapy (VMAT) treatment planning allows a compromise between a sufficient coverage of the planning target volume (PTV) and a simultaneous sparing of organs‐at‐risk (OARs). Particularly in the case of lung tumors, deciding whether it is possible or worth spending more time on further improvements of a treatment
Johann Brand, Juliane Szkitsak, Oliver J. Ott, Christoph Bert, Stefan Speer   +4 more
wiley   +1 more source

Conceptual Design and Parametric Optimization of a New Multileveled Horsetail Structure for Bicycle Helmets

Advanced Engineering Materials, EarlyView., 2023
This study aims to explore the feasibility of using a structure inspired by the features of horsetail and human spine as the potential helmet liner, targeting at mitigation of acceleration‐induced injuries. A parametric study is conducted to investigate the effect of individual geometrical variables in the design, indicating its capability to reduce ...
Bing Leng, Dong Ruan, Shanqing Xu, Kwong Ming Tse   +3 more
wiley   +1 more source

Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith, Isabelle Gagne, Karl Otto, Carter Kolbeck, Joshua Giambattista, Abraham Alexander, Sonja Murchison, Andrew Pritchard, Erika Chin   +8 more
wiley   +1 more source

A Variational Beam Model for Failure of Cellular and Truss‐Based Architected Materials

Advanced Engineering Materials, EarlyView., 2023
Herein, a versatile and efficient beam modeling framework is developed to predict the nonlinear response and failure of cellular, truss‐based, and woven architected materials. It enables the exploration of their design space and the optimization of their mechanical behavior in the nonlinear regime. A variational formulation of a beam model is presented
Konstantinos Karapiperis, Kaoutar Radi, Zifan Wang, Dennis M. Kochmann   +3 more
wiley   +1 more source

Relationship of cognitive decline with glucocerebrosidase activity and amyloid‐beta 42 in DLB and PD

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Dementia with Lewy bodies (DLB) and Parkinson's disease (PD) share clinical, pathological, and genetic risk factors, including GBA1 and APOEε4 mutations. Biomarkers associated with the pathways of these mutations, such as glucocerebrosidase enzyme (GCase) activity and amyloid‐beta 42 (Aβ42) levels, may hold potential as predictive ...
Maria Camila Gonzalez, Linn Oftedal, Johannes Lange, Diego Alejandro Tovar‐Rios, Ole‐Bjørn Tysnes, Claire Paquet, Marta Marquié, Mercè Boada, Daniel Alcolea, Konrad Rejdak, Ewa Papuc, Jakub Hort, Cristian Falup‐Pecurariu, Dag Aarsland, Guido Alves, Jodi Maple‐Grødem   +15 more
wiley   +1 more source

Handling rescue therapy in myasthenia gravis clinical trials: why it matters and why you should care

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Myasthenia gravis (MG) clinical trials typically allow rescue therapy during follow‐up in the event of marked worsening of MG symptoms. Failure to appropriately address rescue therapy in defining treatment effects and planning statistical analyses may yield biased estimates, increase false positive rates, or decrease statistical power – all of
Justin M. Leach, Inmaculada Aban, Gary Cutter, Michael Benatar   +3 more
wiley   +1 more source

An empirical comparison of within-subjects and between-subjects expectancy theory models [PDF]

, 1983
Charles W. Kennedy, John A. Fossum, Bernard J. White   +2 more
openalex   +1 more source