Muscle Structure and Function Recovery: Adalimumab-Calcium Channel Synergy in Post-Ischemic Stroke Sarcopenia. [PDF]
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Accurate imputation of pathway-specific gene expression in spatial transcriptomics with PASTA. [PDF]
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Inpatient Rehabilitation Improves Physical and Mental Health in Multiple Myeloma: A Prospective Cohort Study. [PDF]
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Liu X, Xuan G, Safarzadeh J.
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Application of virtual overlapping technology for the selection of appropriate metal plate dimensions in rib fracture surgery. [PDF]
Song S, Yang J, Zhang C.
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Passivity has been a major criterion for designing a stable haptic interface due to its numerous advantages. However, passivity-based controllers have suffered from the design conservatism of the passivity criterion, particularly when users want to increase the maximum apparent impedance.
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Input-to-state stability (ISS) analysis for dynamic neural networks
IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1999Summary: A novel approach to assess the stability of dynamic neural networks is presented. Using a Lyapunov function, we determine conditions to guarantee input-to-state stability which also ensures global asymptotic stability. The applicability of these conditions is illustrated by two examples.
Edgar N. Sánchez, José P. Pérez
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On characterizations of the input-to-state stability property
The “input to state stability ” (iss) property provides a natural framework in which to formulate notions of stability with respect to input perturbations.
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