Results 41 to 50 of about 299,172 (265)

State geometric adjustability for interval max‐plus linear systems

open access: yesIET Control Theory & Applications
This article investigates the state geometric adjustability for interval max‐plus linear systems, which means that the state vector sequence is transformed into a geometric vector sequence by using the state feedback control.
Yingxuan Yin, Haiyong Chen, Yuegang Tao
doaj   +1 more source

Impact of Japan's 2024 Physician Work‐Style Reform on Pediatric Hematology–Oncology: Educational Implications in a 2‐Year Survey

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Japan's 2024 physician work‐style reform introduced legally binding limits on physicians’ working hours, but its impact on education and workforce sustainability in pediatric hematology–oncology (PHO) remains unclear. Procedure We conducted a repeated cross‐sectional study with structured quantitative items and free‐text responses ...
Kiyohiko Kaizu   +7 more
wiley   +1 more source

Learning to Boost the Performance of Stable Nonlinear Systems

open access: yesIEEE Open Journal of Control Systems
The growing scale and complexity of safety-critical control systems underscore the need to evolve current control architectures aiming for the unparalleled performances achievable through state-of-the-art optimization and machine learning algorithms ...
Luca Furieri   +2 more
doaj   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin   +2 more
wiley   +1 more source

Robust Tracking Control of Aerial Robots Via a Simple Learning Strategy-Based Feedback Linearization

open access: yesIEEE Access, 2020
To facilitate accurate tracking in unknown/uncertain environments, this paper proposes a simple learning (SL) strategy for feedback linearization control (FLC) of aerial robots subject to uncertainties.
Mohit Mehndiratta   +3 more
doaj   +1 more source

Reachset Conformance and Automatic Model Adaptation for Hybrid Systems

open access: yesMathematics, 2022
Model-based verification uses a model to reason about the correctness of a real system. This requires the model and the system to be conformant, such that verification results on the model can be transfered to the real system.
Hendrik Roehm   +2 more
doaj   +1 more source

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito   +7 more
wiley   +1 more source

Three phosphatase families form a community: The phosphohydrolases that act upon inositol pyrophosphates

open access: yesFEBS Letters, EarlyView.
Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS

open access: yesIEEE Access, 2020
Kernel partial least squares (KPLS) models are widely used as nonlinear data-driven methods for faults detection (FD) in industrial processes. However, KPLS models lead to irrelevant performance over long operation periods due to process parameters ...
Radhia Fezai   +7 more
doaj   +1 more source

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