Node Type Distribution and Its Impacts on Performance of Power Grids

2019 ◽

Vol 28 (4) ◽

pp. 1411-1431 ◽

Cited By ~ 3

Author(s):

Lauren Bislick ◽

William D. Hula

Keyword(s):

Error Rate ◽

Error Rates ◽

Group Differences ◽

Diagnostic Process ◽

Apraxia Of Speech ◽

Contextual Variables ◽

Error Type ◽

Type Distribution ◽

Phonetic Features ◽

Syllable Position

Purpose This retrospective analysis examined group differences in error rate across 4 contextual variables (clusters vs. singletons, syllable position, number of syllables, and articulatory phonetic features) in adults with apraxia of speech (AOS) and adults with aphasia only. Group differences in the distribution of error type across contextual variables were also examined. Method Ten individuals with acquired AOS and aphasia and 11 individuals with aphasia participated in this study. In the context of a 2-group experimental design, the influence of 4 contextual variables on error rate and error type distribution was examined via repetition of 29 multisyllabic words. Error rates were analyzed using Bayesian methods, whereas distribution of error type was examined via descriptive statistics. Results There were 4 findings of robust differences between the 2 groups. These differences were found for syllable position, number of syllables, manner of articulation, and voicing. Group differences were less robust for clusters versus singletons and place of articulation. Results of error type distribution show a high proportion of distortion and substitution errors in speakers with AOS and a high proportion of substitution and omission errors in speakers with aphasia. Conclusion Findings add to the continued effort to improve the understanding and assessment of AOS and aphasia. Several contextual variables more consistently influenced breakdown in participants with AOS compared to participants with aphasia and should be considered during the diagnostic process. Supplemental Material https://doi.org/10.23641/asha.9701690

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Legal Providing of Application of Energy Effective Lightning Technology and Intellectual Networks in the Conditions of Digital Economy

Light & Engineering ◽

10.33383/2018-089 ◽

2019 ◽

pp. 123-128 ◽

Cited By ~ 1

Author(s):

Maksim V. Demchenko ◽

Rostislav O. Ruchkin ◽

Eugenia P. Simaeva

Keyword(s):

Public Relations ◽

New Technologies ◽

Electric Power Industry ◽

Legal Regulation ◽

Power Grids ◽

Smart Power ◽

Smart Power Grids ◽

Russian Economy ◽

Intellectual Networks ◽

Efficient Power

The article substantiates the expediency of improving the legal support for the introduction and use of energy-efficient lighting equipment, as well as smart networks (Smart Grid), taking into account the ongoing digitalization of the Russian economy and electric power industry. The goal of scientific research is formulated, which is to develop practical recommendations on optimization of the public relations legal regulation in the digital power engineering sector. The research methodology is represented by the interaction of the legal and sociological aspects of the scientific methods system. The current regulatory and legal basis for the transformation of digital electricity relations has been determined. The need to modernize the system of the new technologies introduction legal regulation for generation, storage, transmission of energy, intelligent networks, including a riskbased management model, is established. A set of standardsetting measures was proposed to transform the legal regulation of public relations in the field of energyefficient lighting equipment with the aim of creating and effectively operating a single digital environment, both at the Federal and regional levels. A priority is set for the development of “smart” power grids and highly efficient power equipment in the constituent entities of the Russian Federation through a set of legal, economic (financial), edu cational measures.

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