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Memory characteristics, such as current voltage (I-V) relations, endurance, and data retention were measured using an HP4156C semiconductor parameter analyzer (Agilent Technologies Inc., Santa Clara, CA, USA).

An important finding shown by Baillie et al. (1996) is that financial macroeconomic time series are subject to long memory characteristics such that volatility shows strong persistency.

Among the metallic nanoparticles, gold nanoparticles (AuNPs) possess important properties for device fabrication as well as good memory characteristics, such as easy synthesis approach, high work function[10 12], good electron-accepting properties[13], and chemical stability[12].

Memory characteristics, such as current voltage (I-V), C-V, read endurance, and retention were measured using an HP4156C semiconductor parameter analyzer and HP4284A LCR meter (Agilent Technologies Inc., Santa Clara, CA, USA).

Improved resistive switching memory characteristics such as high switching yield of 88%, low voltage operation of ±2 V, and lower average RESET current of 327.5 μA for a CC of 500 μA are obtained for the 0.4-μm devices with a 2-nm-thick Al2O3 film.

Enhanced memory characteristics such as low-voltage operation (<4 V), low RESET current (approximately 22 μA), large resistance ratio (>103), pulse read endurance of >105 cycles, and data retention of >104 s were obtained for PMA devices because of its volatized nature and the ready formation of oxygen vacancies in the GeO x film.

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Source monitoring decisions are based on memory characteristics recorded such as perceptions, contextual information or emotional reactions and heuristic or more controlled judgement processes.

It also covers information of how program codes relate to the memory system characteristics such as data types and data alignment.

This structure is a great potential candidate for next-generation nonvolatile memory due to its superior characteristics such as lesser cost, simple structure, high-speed operation, and nondestructive readout [12 21].

The symptoms of dementia may not be recognised by the patient or family, and some of the early characteristics such as memory loss, functional disability, or emotional lability might be thought to be a 'normal' component of ageing [ 20].

Note that such diverse memory characteristics cannot be modeled with ARMA models and uncorrelated innovations.

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