Millimeter wave pulsed gunn oscillator for low chirp radar application at W-Band

Sarin, S. S.; Ramakrishnan, S.

doi:10.1007/bf02088160

Cited by 3 publications

(1 citation statement)

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“…The lack of a unified and differentiated approach to support and promote the employment of young medical personnel, which is able to form a competitive offer for specialists employed in rural areas, makes it difficult in the near future to solve the problem of eliminating the uneven distribution of medical personnel. [1,2] Today, according to the head of the Department of Science and Education of the Ministry of Health of the Republic of Uzbekistan, there is a shortage of medical workers in Uzbekistan, including 6136 narrow specialists, 2324 general practitioners [Figure 1]. If the national average number of health workers per 10 thousand populations is 20.5, then in some regions (Surkhandarya, Kashkadarya, Jizzakh regions) this figure is even lower -about 16-17 health workers [Figure 2].…”

Section: Introductionmentioning

confidence: 99%

Staff Predicting in Healthcare System

Ulliev

2021

ACMR

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In recent years, specific measures have been implemented in the Republic of Uzbekistan to attract medical personnel to work in medical and preventive institutions. However, due to the existing differences in the socio-economic development of the regions, the implemented measures for the employment of graduates differ in their composition and focus, there is often no priority and systematicity of measures, which in turn reduces the effectiveness of solving the problems of attracting and retaining medical personnel in practical health care. Analysis of literature data on predicting future personnel fluctuations, as well as the results of a questionnaire survey of 139 leaders of the RMO and chief doctors of hospitals (employers) on the quality of education of TashPMI graduates, conducted in the regions of the Republic of Uzbekistan in 2019. Today's university graduate chooses narrow specialties for which there is an overabundance of these specialties in all regions, such areas as otorhinolaryngology, neurology, pediatric neurology, ophthalmology, traumatology and radiology. According to our preliminary estimates, this approach to choosing a future specialty without the presence of a carefully thought-out strategy for professional orientation of medical students can lead to a sharp crisis in the personnel policy of healthcare, namely, in this case, to an overabundance of specialties "popular" among students. The lack of a unified and differentiated approach to support and promote the employment of young medical personnel, which is able to form a competitive offer for specialists employed in rural areas, makes it difficult in the near future to solve the problem of eliminating the uneven distribution of medical personnel.

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Section: Introductionmentioning

confidence: 99%

Staff Predicting in Healthcare System

Ulliev

2021

ACMR

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A New Rapid Algorithm for Detecting Human Head

Dai

2009

2009 International Conference on Networking and Digital Society

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According to the features of human head which is taken by camera shooting from the top down, this paper puts forward a new and rapid algorithm for detecting human head. First, the image is binarized by threshold, then searches diameter of circular-like head area in binary image. If the diameter is in conformity with the feature of human head, then identifies the possible head further in other directions. This algorithm avoids complex concepts and mathematical formulas. Its time-space complexity is much lower than other common methods used in detecting circular-like targets. This paper compares this algorithm with Hough Transform (HT) which is typical in detecting circular-like targets. It is several tens of times faster than HT, and the memory this algorithm needs is several tens of times less than HT. At the end of this paper, practice proves its good effect.

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