Results 51 to 60 of about 793 (178)
Health Science Reports, Volume 9, Issue 8, August 2026.ABSTRACT Background and Aims With increasing health awareness among Chinese residents, the demand for health examinations has continued to grow, placing mounting pressure on hospitals and health examination centers. This problem is particularly evident in group batch health examinations, where a large instantaneous flow of examinees and numerous ...
Mengdi Lv +4 more
wiley +1 more source
Risk Analysis, Volume 46, Issue 8, August 2026.ABSTRACT This study examines the impact of epistemic uncertainties on the seismic risk of a critical transport system, the Campania railway network, during the ongoing bradyseismic unrest at Campi Flegrei, south of Italy. Seismic risk is quantified as the length of the railway requiring post‐event inspection, an operational proxy for service disruption.
Raffaele De Risi +3 more
wiley +1 more source
Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction
Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin +3 more
wiley +1 more source
Shock and Vibration, 2020 The study of the nonlinear dynamic behaviour of friction systems in general and of clutch systems in particular remains an open problem. Noise and vibrations induced by friction in the sliding phase of a clutch are very sensitive to design parameters ...
M.-H. Trinh, S. Berger, E. Aubry
doaj +1 more source
Unifying framework for information processing in stochastically driven dynamical systems
Physical Review Research, 2021 A dynamical system is an information processing apparatus that encodes input streams from the external environment to its state and processes them through state transitions.
Tomoyuki Kubota +2 more
doaj +1 more source
Fourier Expansion‐Based Approach to the Parameter Space of Classical Systems
Annalen der Physik, Volume 538, Issue 7, July 2026.ABSTRACT We propose a new approach to compute the classical metric tensor (CMT) and the Hannay curvature using Fourier series expansions in action‐angle variables. This approach circumvents the need for complex time‐domain integrals or the construction of generating functions, replacing them with algebraic combinations of Fourier coefficients. We prove
Marcos J. Hernández +3 more
wiley +1 more source
Embracing Complexity in HRM Research: A Call for System and Process Perspectives
Human Resource Management, Volume 65, Issue 4, Page 995-1013, July/August 2026.ABSTRACT Human resource management (HRM) is inherently complex. It involves systems of principles, practices, and activities operating at individual, group, organizational, and macro levels, which are interlinked through complex processes. Yet, empirical research has not kept pace with this conceptual richness.
Rebecca Hewett, Madleen Meier‐Barthold
wiley +1 more source
IEEE Access, 2019 Due to the increasing uncertainty brought about by renewable energy, conventional deterministic dispatch approaches have not been very applicative. This paper investigates a nested sparse grid-based stochastic collocation method (NS-SCM) as a possible ...
Zhilin Lu +3 more
doaj +1 more source
Uncertainty Quantification in Mooring Cable Dynamics Using Polynomial Chaos Expansions
Journal of Marine Science and Engineering, 2020 Mooring systems exhibit high failure rates. This is especially problematic for offshore renewable energy systems, like wave and floating wind, where the mooring system can be an active component and the redundancy in the design must be kept low.
Guilherme Moura Paredes +2 more
doaj +1 more source
Risk Analysis, Volume 46, Issue 7, July 2026.ABSTRACT Societies worldwide face increasingly complex and interconnected crises that challenge their capacity for resilience. Assessing which structural indicators are most strongly associated with resilience scores requires quantitative methods capable of handling interdependencies, nonlinearities, and limited sample sizes.
Elias Montanari +4 more
wiley +1 more source