Measurements of the Cape Astrometric Survey of the Southern Hemisphere

1978 ◽  
Vol 48 ◽  
pp. 515-521
Author(s):  
W. Nicholson
Keyword(s):  
Southern Hemisphere ◽  
Automatic Measuring ◽  
Measuring Machine ◽  
Final Selection ◽  
Selection Of

SummaryA routine has been developed for the processing of the 5820 plates of the survey. The plates are measured on the automatic measuring machine, GALAXY, and the measures are subsequently processed by computer, to edit and then refer them to the SAO catalogue. A start has been made on measuring the plates, but the final selection of stars to be made is still a matter for discussion.

scholarly journals Recruitment of Employees—Assumptions of the Risk Model

Risks ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 55
Author(s):  
Halina Sobocka-Szczapa
Keyword(s):  
Risk Model ◽  
Model Identification ◽  
Added Value ◽  
Competitive Advantages ◽  
Recruitment Process ◽  
Process Risk ◽  
Model Formation ◽  
Risk Determinants ◽  
Final Selection ◽  
Selection Of

The aim of this article is to present the risk model premises related to worker recruitment. Recruitment affects the final selection of workers, whose activities contribute to corporate competitive advantages. Hiring unfavorable workers can influence the results produced by an organization. This risk mostly affects situations when searching for workers via the external labor market, although it can also affect internal recruitment. Therefore, it is necessary to attempt to identify recruitment risk determinants and classify their meaning in such processes. Model formation has both theoretical and intuitive characteristics. Model dependencies and their characteristics are identified in this paper. We attempted to assess the usability of the risk model for economic praxis. The analyses and results provide a model identification of dependencies between the factors determining a workers recruitment process and the risk which is caused by this process (employing inadequate workers who do not meet the employer’s expectations). The identification of worker recruitment process determinants should allow for practically reducing the risk of employing an inadequate worker and contribute to the reduction in unfavorable recruitment processes. The added value of this publication is the complex identification of recruitment process risk determinants and dependency formulations in a model form.

scholarly journals Sensor, Signal, and Imaging Informatics

2017 ◽  
Vol 26 (01) ◽  
pp. 120-124
Author(s):  
W. Hsu ◽  
S. Park ◽  
Charles Kahn
Keyword(s):  
Medical Informatics ◽  
Scientific Work ◽  
Imaging Informatics ◽  
Sensor Signal ◽  
Imaging Data ◽  
Extensive Search ◽  
Challenges And Opportunities ◽  
Final Selection ◽  
Selection Of

Summary Objective: To summarize significant contributions to sensor, signal, and imaging informatics published in 2016. Methods: We conducted an extensive search using PubMed® and Web of Science® to identify the scientific contributions published in 2016 that addressed sensors, signals, and imaging in medical informatics. The three section editors selected 15 candidate best papers by consensus. Each candidate article was reviewed by the section editors and at least two other external reviewers. The final selection of the six best papers was conducted by the editorial board of the Yearbook. Results: The selected papers of 2016 demonstrate the important scientific advances in management and analysis of sensor, signal, and imaging information. Conclusion: The growing volume of signal and imaging data provides exciting new challenges and opportunities for research in medical informatics. Evolving technologies provide faster and more effective approaches for pattern recognition and diagnostic evaluation. The papers selected here offer a small glimpse of the high-quality scientific work published in 2016 in the domain of sensor, signal, and imaging informatics.

scholarly journals Pre-selection of apple seedlings for partial powdery mildew (Podosphaera leucotricha Ell. et Ev. /Salm./) resistance

2011 ◽  
Vol 50 (No. 2) ◽  
pp. 65-69 ◽  
Author(s):  
J. Blažek
Keyword(s):  
Powdery Mildew ◽  
First Year ◽  
Podosphaera Leucotricha ◽  
Green House ◽  
Healthy State ◽  
The Mean ◽  
Resistant Genotypes ◽  
Different Levels ◽  
Final Selection ◽  
Selection Of

Incidences of powdery mildew were repeatedly evaluated for two years on 1 420 young seedlings of 20 progenies (of different levels of mildew susceptibility) in a green house, and then for 10 years on 642 seedlings in an orchard. Part of the seedlings in the orchard were pre-selected for the characteristic and others not. Except for the first scoring done in the first year, there was no correlation between mildew incidence on individual seedlings in the green house and their mean performance in the orchard. The seedlings with scores above 6 (resistant or tolerant) at the first stage of evaluation in the green house, however, yielded four times more desirable seedlings after final selection in the orchard than the mean of the total. The progenies that had a better healthy state as a whole yielded more partially resistant genotypes than those with low mean scores. Therefore, the progenies that most rapidly develop infestation on the whole lot should be discarded, whereas those that retain a healthy state longer should be subjected to individual selection according to the previous item.

scholarly journals Domains and Measurements of Healthy Aging in Epidemiological Studies: A Review

2018 ◽  
Vol 59 (4) ◽  
pp. e294-e310 ◽  
Author(s):  
Wentian Lu ◽  
Hynek Pikhart ◽  
Amanda Sacker
Keyword(s):  
Healthy Aging ◽  
Well Being ◽  
Epidemiological Studies ◽  
Health Security ◽  
Health Indices ◽  
Security Questions ◽  
Design And Methods ◽  
State Examination ◽  
Final Selection ◽  
Selection Of

Abstract Purpose of the Study Few studies have recommended the essential domains of healthy aging and their relevant measurement to assess healthy aging comprehensively. This review is to fill the gap, by conducting a literature review of domains and measures of healthy aging in epidemiological studies. Design and Methods A literature search was conducted up to March 31, 2017, supplemented by a search of references in all relevant articles in English. We made a final selection of 50 studies across 23 countries or regions. Results Nineteen studies applied Rowe and Kahn’s three standards to assess healthy aging. Thirty-seven studies measured physical capabilities mainly by (instrumental) activities of daily living. Cognitive functions were included in 33 studies. Nineteen of them applied Mini-Mental State Examination (MMSE). Twenty-six studies considered metabolic and physiological health, but they mainly asked the self-reported absence of diseases. Twenty-four studies assessed psychological well-being by employing diverse scales. Questions about participation in social activities were mainly asked to measure social well-being in 22 studies. Sixteen studies considered individuals’ general health status, which was mainly measured by self-rated health. Security questions were asked in five studies. Health behaviors were taken into account by three studies. Fifteen studies either applied SF-12/36 or developed health indices to assess healthy aging. Implications This review summarizes detailed scales or methods that have been used to assess healthy aging in previous epidemiological studies. It also discusses and recommends the essential domains of healthy aging, and the relevant instruments for further epidemiological research to use in the assessment of healthy aging.

scholarly journals Cancer Informatics in 2017: A New Beginning and a Bright Future

2018 ◽  
Vol 27 (01) ◽  
pp. 223-226 ◽  
Author(s):  
Jeremy Warner ◽  
Debra Patt ◽  
Keyword(s):  
Knowledge Management ◽  
Selection Process ◽  
Research Teams ◽  
Extensive Search ◽  
New Beginning ◽  
Significant Research ◽  
Manual Review ◽  
Final Selection ◽  
Selection Of

Objective: To summarize significant research contributions on cancer informatics published in 2017. Methods: An extensive search using PubMed/Medline, Google Scholar, and manual review was conducted to identify the scientific contributions published in 2017 that address topics in cancer informatics. The selection process comprised three steps: (i) 15 candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of three best papers was conducted by the editorial board of the Yearbook. Results: Results: The three selected best papers present studies addressing many facets of cancer informatics, with immediate applicability in the research and clinical domains. Conclusion: Cancer informatics is a broad and vigorous subfield of biomedical informatics. Strides in knowledge management, crowdsourcing, and visualization are especially notable in 2017.

scholarly journals Hubble Space Telescope Second Generation Instrument Selection

1989 ◽  
Vol 8 ◽  
pp. 441-442
Author(s):  
E. J. Weiler
Keyword(s):  
Second Generation ◽  
Hubble Space Telescope ◽  
Selection Process ◽  
Space Telescope ◽  
Instrument Selection ◽  
Final Selection ◽  
Selection Of

AbstractThe Hubble Space Telescope Second Generation Instrument Program is described. The original instrument selection process in 1985 is discussed as well as the NASA plan to make a final selection of an infrared instrument in late 1988.

scholarly journals Melodies as Maximally Disordered Systems under Macroscopic Constraints with Musical Meaning

Entropy ◽  
2019 ◽  
Vol 21 (5) ◽  
pp. 532 ◽  
Author(s):  
Jorge Useche ◽  
Rafael Hurtado
Keyword(s):  
Statistical Model ◽  
Disordered Systems ◽  
Musical Meaning ◽  
Tonal Music ◽  
Melodic Line ◽  
Constituent Elements ◽  
Musical Elements ◽  
Physical Quantities ◽  
Final Selection ◽  
Selection Of

One of the most relevant features of musical pieces is the selection and utilization of musical elements by composers. For connecting the musical properties of a melodic line as a whole with those of its constituent elements, we propose a representation for musical intervals based on physical quantities and a statistical model based on the minimization of relative entropy. The representation contains information about the size, location in the register, and level of tonal consonance of musical intervals. The statistical model involves expected values of relevant physical quantities that can be adopted as macroscopic constraints with musical meaning. We studied the occurrences of musical intervals in 20 melodic lines from seven masterpieces of Western tonal music. We found that all melodic lines are strictly ordered in terms of the physical quantities of the representation and that the formalism is suitable for approximately reproducing the final selection of musical intervals made by the composers, as well as for describing musical features as the asymmetry in the use of ascending and descending intervals, transposition processes, and the mean dissonance of a melodic line.

scholarly journals Cancer Informatics in 2019: Deep Learning Takes Center Stage

2020 ◽  
Vol 29 (01) ◽  
pp. 243-246 ◽  
Author(s):  
Jeremy L. Warner ◽  
Debra Patt ◽  
Keyword(s):  
Deep Learning ◽  
Selection Process ◽  
Editorial Committee ◽  
Research Teams ◽  
Extensive Search ◽  
Significant Research ◽  
Radiology And Pathology ◽  
Manual Review ◽  
Final Selection ◽  
Selection Of

Objective: To summarize significant research contributions on cancer informatics published in 2019. Methods: An extensive search using PubMed/Medline and manual review was conducted to identify the scientific contributions published in 2019 that address topics in cancer informatics. The selection process comprised three steps: (i) 15 candidate best papers were first selected by the two section editors, (ii) external reviewers from internationally renowned research teams reviewed each candidate best paper, and (iii) the final selection of two best papers was conducted by the editorial committee of the Yearbook. Results: The two selected best papers demonstrate the clinical utility of deep learning in two important cancer domains: radiology and pathology. Conclusion: Cancer informatics is a broad and vigorous subfield of biomedical informatics. Applications of new and emerging computational technologies are especially notable in 2019.

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