Modeling the antidepressant treatment response to transcranial magnetic stimulation using an exponential decay function [PDF]
Scientific Reports, 2023 Recovery from depression often demonstrates a nonlinear pattern of treatment response, where the largest reduction in symptoms is observed early followed by smaller improvements.
Yosef A. Berlow +5 more
doaj +2 more sources
An exponential decay model for mediation. [PDF]
Prev Sci, 2014 Mediation analysis is often used to investigate mechanisms of change in prevention research. Results finding mediation are strengthened when longitudinal data are used because of the need for temporal precedence. Current longitudinal mediation models have focused mainly on linear change, but many variables in prevention change nonlinearly across time ...
Fritz MS.
europepmc +4 more sources
Multimodal multitask learning for predicting MCI to AD conversion using stacked polynomial attention network and adaptive exponential decay. [PDF]
Sci Rep, 2023 Ho NH, Jeong YH, Kim J.
europepmc +3 more sources
The emptiness formation probability correlation in homogeneous and dimerized XX chains [PDF]
Condensed Matter Physics, 2009 We review some known properties of the "emptiness formation probability" correlation which we have calculated numerically for spin-1/2 XX chains with constant (homogeneous) or alternating (dimerized) nearest-neighbor coupling and an external field (in z ...
J. Stolze, T. Garske
doaj +3 more sources
Probing the nonexponential decay regime in open quantum systems
Physical Review Research, 2023 The most important law of radioactivity is that of the exponential decay. In the realm of quantum mechanics, however, this decay law is neither rigorous nor fundamental.
S. M. Wang (王思敏) +3 more
doaj +1 more source
Exponential decay of transient values in discrete-time positive nonlinear systems [PDF]
Archives of Control Sciences, 2022 The exponential decay of transient values in discrete-time nonlinear standard and fractional orders systems with linear positive linear part and positive feedbacks is investigated.
Tadeusz Kaczorek, Andrzej Ruszewski
doaj +1 more source
The Extreme Learning Machine for the Extraction of Mono-Exponential Decay Time
IEEE Photonics Journal, 2023 The mono-exponential decay has been used to describe various physical phenomena such as cavity ring-down signal, fluorescence decay, etc. In this paper, a neural network method of extreme learning machine (ELM) is adopted to efficiently extract decay ...
Xing He +4 more
doaj +1 more source
Physics Letters B, 2022 It is well known, both theoretically and experimentally, that the survival probability for an unstable quantum state, formed at t=0, is not a simple exponential function, even if the latter is a good approximation for intermediate times.
Francesco Giacosa
doaj +1 more source
Cold Load Pickup Model Adequacy for Power System Restoration Studies
Energies, 2022 When a grid section is re-energized after an interruption, the load behaviour can be significantly different from normal operation. In this manuscript, the impact of the phenomenon—known as cold load pickup—is investigated by evaluating 31 time series ...
Christian Hachmann +2 more
doaj +1 more source
Moore-Gibson-Thompson thermoelasticity with two temperatures
Applications in Engineering Science, 2020 In this note we propose the Moore-Gibson-Thompson heat conduction equation with two temperatures and prove the well posedness and the exponential decay of the solutions under suitable conditions on the constitutive parameters.
Ramón Quintanilla
doaj +1 more source