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http://dx.doi.org/10.1563/aaid-joi-D-22-Editorial.4805 | DOI Listing |
Neural Netw
October 2024
School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China. Electronic address:
In this paper, the problem of time-variant optimization subject to nonlinear equation constraint is studied. To solve the challenging problem, methods based on the neural networks, such as zeroing neural network and gradient neural network, are commonly adopted due to their performance on handling nonlinear problems. However, the traditional zeroing neural network algorithm requires computing the matrix inverse during the solving process, which is a complicated and time-consuming operation.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
March 2024
Compared with conventional dynamic nonlinear equation systems, a hybrid double-deck dynamic nonlinear equation system (H3DNES) not only has multiple layers describing more different tasks in practice, but also has a hybrid nonlinear structure of solution and its derivative describing their nonlinear constraints. Its characteristics lead to the ability to describe more complicated problems involving multiple constraints, and strong nonlinear and dynamic features, such as robot manipulator tracking control. Besides, noises are inevitable in practice and thus strong robustness of models solving H3DNES is also necessary.
View Article and Find Full Text PDFClin Cardiol
January 2024
Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China.
Background: Usual measures of blood pressure (BP) do not account for both the magnitude and duration of exposure to elevated BP over time. We aimed to demonstrate the effect of a novel time-weighted BP on cardiovascular outcomes using a post hoc analysis of two published randomized trials.
Hypothesis: Time-weighted blood pressure is associated with cardiovascular risk among patients with or without diabetes.
Health Care Anal
September 2024
University of Michigan, North Campus Research Complex, 2800 Plymouth Rd., Bldg. 520, Suite 1169, Ann Arbor, MI, 48109, USA.
It is perhaps most useful to approach the Doctor-Patient relationship (DPR) by admitting that it's complicated. We review some of the strategies that have been employed to mitigate this complexity, zeroing in on one that promises to capture the main features of the DPR without eliminating some of its more important, existential components; pieces of the puzzle that must be retained if we are to avoid oversimplification and the errors that can arise by ignoring important foundational properties. We believe that a useful way to look at the DPR and to capture essential features that must be balanced in the process is provided by Partnership Theory and its definition in terms of the so-called domination and partnership systems.
View Article and Find Full Text PDFHeliyon
October 2023
Xinyang Central Hospital, Xinyang 464000, China.
Robustness is a significant research direction in manipulator control owing to their complicated and uncertain external environment, abrasion, and other factors. The ability to implement multitasking is also necessary for manipulator control because of the physical limitations and complex requirements. However, the existing research has mainly focused on the control of a single task and robustness analysis of single-task control.
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