Sentence examples for random utilization from inspiring English sources

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The main problem with this arises during the movement of the nodes and random utilization of network resources.

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Being designed for cryptographic use, we expect SHA-1 and MD5 hash algorithms to provide near-random utilization of the key space while being more computationally expensive.

This includes the spatial displacement of sperm of previous mates (sperm displacement), the non-random utilization of sperm from a particular male (sperm precedence) and the killing or disabling of rival sperm (incapacitation) [ 5].

However, the performance of state-of-the-art washcoating monolithic catalysts in industry suffers from some long-standing problems such as mediocre-uniformity, need for high catalyst loading, low materials utilization, random catalytic sites, poor washcoat adhesion, short life-time, degradation tendency, all of which lead to much compromised and less-than desirable catalytic performance.

It is well known that diversity schemes enhance the system capacity by proper utilization of random variation in a multipath wireless channel.

The utilization of random number challenges in the certificate-based user authentication procedure can also block an attacker attempting to intercept the authentication tokens, including the signature data created by other users, and prevent the attacker from using them successfully later on [28].

All samples had greater than average GC content in the first 15 bp due to utilization of random hexamer primers during library preparation.

Considering self-report and administrative health service utilization data, random sources of error regarding service type and frequency of use may be related to problems in memory (for self-report data), data entry errors (administrative data), and interpretation or coding differences (both self-report and administrative data).

Through the utilization of the random parameters multinomial logit model, consumers' observable and unobservable preference heterogeneity can be accounted for, which proved a scientifically revealing and potentially policy-relevant approach.

The purpose of our study was therefore to analyze the association of health care costs with predisposing, enabling and need factors as defined by Andersen's behavioral model of health care utilization in a random sample of the elderly population in Germany.

The mixed-effects modeling approach adopted in the current work estimated a variance-covariance matrix for participant-specific random effects, including the cue-utilization coefficients for the four stimulus dimensions.

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