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Conductive Bonding and System Architectures for High‐Performance Flexible Electronics
This review outlines bonding technologies and structural design strategies that support high‐performance flexible and stretchable electronics. Bonding approaches such as surface‐activated bonding and anisotropic conductive films, together with system‐level architectures including buffer layers and island‐bridge structures, possess distinct mechanical ...
Kazuma Nakajima, Kenjiro Fukuda
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A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim +10 more
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Reducing power consumption in spintronic memory remains a major challenge due to the need for high current densities. A bilayer of gadolinium and holmium iron garnets enables purely temperature‐induced, nonvolatile magnetic switching with bistable states within a ±25 K range. This approach achieves up to 66‐fold lower energy use than current spin–orbit
Junseok Kim +3 more
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Pharmacokinetic lag time estimation
International Journal of Bio-Medical Computing, 1985This note draws attention to a problem encountered when using the pharmacokinetic computer program CSTRIP for lag time estimation. The problem arises because data belonging to the lag phase is used for polyexponential parameter estimation. Simulated data are used to illustrate the effect on the fitted curve.
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Time lags in ecological systems
Journal of Theoretical Biology, 1975Abstract A model representing ten species in a four trophic level community is constructed by using Volterra's equations including time lags, and is solved numerically for some values of the parameters. Classical discrete and continuous time lags yield similar results; simulating with discrete time lags thus appears useful. Parasitic versus predatory
H, Barclay, P, van den Driessche
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Temporal Causal Inference with Time Lag
Neural Computation, 2018Accurate causal inference among time series helps to better understand the interactive scheme behind the temporal variables. For time series analysis, an unavoidable issue is the existence of time lag among different temporal variables. That is, past evidence would take some time to cause a future effect instead of an immediate response.
Du, Sizhen +3 more
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Journal of Applied Polymer Science, 1986
AbstractAdsorption and desorption diffusion time lags are given for some homogeneous hollow cylinder and spherical shell membrane systems. The treatment relates to a constant diffusion coefficient with solution or sorption obeying Henry's law. Time lags for both “forward” and “reverse” flow have been determined and identities between them derived.
Richard Ash, James A. Barrie
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AbstractAdsorption and desorption diffusion time lags are given for some homogeneous hollow cylinder and spherical shell membrane systems. The treatment relates to a constant diffusion coefficient with solution or sorption obeying Henry's law. Time lags for both “forward” and “reverse” flow have been determined and identities between them derived.
Richard Ash, James A. Barrie
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Journal of Fluids Engineering, 1941
Abstract The purpose of this paper is to present facts and theory of thermometric time lag in a form suitable for industrial users of thermometers. The emphasis will be on the distant-reading type of thermometer, actuated by liquid expansion (mercury or other liquids), gas expansion, or vapor pressure, and mercury-in-glass therometers.
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Abstract The purpose of this paper is to present facts and theory of thermometric time lag in a form suitable for industrial users of thermometers. The emphasis will be on the distant-reading type of thermometer, actuated by liquid expansion (mercury or other liquids), gas expansion, or vapor pressure, and mercury-in-glass therometers.
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