scholarly journals The quality analysis of the competitive selection of abiturients in accordance with the engineering specialty in higher education

2019 ◽  
pp. 23-30 ◽  
Author(s):  
Oksana PODOLIAN ◽  
Keyword(s):  
Higher Education ◽  
Quality Analysis ◽  
Competitive Selection ◽  
Selection Of

scholarly journals MATHEMATICAL MODEL AND ALGORITHM FOR CENTRALIZED ENROLEMENT COMPETITION IN RUSSIAN HIGHER EDUCATION INSTITUTIONS

2018 ◽  
Vol 22 (1) ◽  
pp. 45-52
Author(s):  
A. I. Pykhtin ◽  
O. V. Ovchinkin
Keyword(s):  
Higher Education ◽  
Mathematical Model ◽  
Training Program ◽  
Education Institution ◽  
Educational Institutions ◽  
Entrance Examination ◽  
Competitive Selection ◽  
Higher Education System ◽  
Russian Higher Education ◽  
Selection Of

Currently, the conditions for admission to higher education in Russia can provide centralization of the procedure for competitive selection of applicants across the country to increase the transparency and openness of this process in relation to applicants, and to reduce the costs of universities for the organization of the admission campaign. The core of such centralization could be the federal information system for USE and admission, but at present there are no algorithms for competitive selection. The paper proposes a modification of the existing mathematical model for the organization of centralized competition for the enrollment to higher education institution in Russia, that is a multi criteria task of optimizing the criterion function of educational institutions of higher education (the higher education system as a whole), corresponding to the enrollment of applicants with the highest score according to the results of the entrance examination, ready to continue education , and the target functions of applicants, consisting in the enrollment to the most interesting (top priority) speciality or major training program. To rank applicants, a modification of the evaluation function is suggested, including a new term intended for the ordering of applicants with the same score based on the results of entrance examinations and evaluation of individual achievements. Also, a heuristic iterative algorithm for solving the formulated multicriteria optimization problem is provided based on the search for a solution for one university under condition of indicating a number of specialties and training program in the applicant’s application for admission. The speed of the algorithm is considered as logarithmic by means of a specially developed program. It is shown that the algorithm is applicable for calculating the competitive all-Russian situation in terms of execution time.

Identify This…

2009 ◽  
Vol 2 (2) ◽  
pp. 209-228 ◽  
Author(s):  
Leslie Rebecca Bloom ◽  
Amanda Reynolds ◽  
Rosemary Amore ◽  
Angela Beaman ◽  
Gatenipa Kate Chantem ◽  
...  
Keyword(s):  
Higher Education ◽  
Life History ◽  
Graduate Students ◽  
Women's Studies ◽  
Essential Elements ◽  
Women's Voices ◽  
Readers Theater ◽  
Creative Pedagogy ◽  
And Gender ◽  
Selection Of

Readers theater productions are meaningful expressions of creative pedagogy in higher education. This article presents the script of a readers theater called Identify This… A Readers Theater of Women's Voices, which was researched, written, and produced by undergraduate and graduate students in a women's studies class called Intersections of Race, Class, and Gender. Section one of the article reproduces the script of Identify This that was based on life history interviews with a diverse selection of women to illustrate intersectional identities. Section two briefly describes the essential elements of the process we used to create and perform Identify This.

Tax Loss Carrybacks: Investment Stimulus versus Misallocation

2017 ◽  
Vol 93 (4) ◽  
pp. 101-125 ◽  
Author(s):  
Inga Bethmann ◽  
Martin Jacob ◽  
Maximilian A. Müller
Keyword(s):  
Productivity Loss ◽  
Future Prospects ◽  
Competitive Selection ◽  
Aggregate Output ◽  
Tax Regimes ◽  
Investment Response ◽  
Tax Loss ◽  
Loss Firms ◽  
Jel Classifications ◽  
Selection Of

ABSTRACT Tax regimes treat losses and profits asymmetrically when profits are immediately taxed, but losses are not immediately refunded. We find that treating losses less asymmetrically by granting refunds less restrictively increases loss firms' investment: A third of the refund is invested and the rest is held as cash or returned to shareholders. However, the investment response is driven primarily by firms prone to engage in risky overinvestment. Consistent with the risk of misallocation, we find a delayed exit of low-productivity loss firms receiving less restrictive refunds, indicating potential distortion of the competitive selection of firms. This distortion also negatively affects aggregate output and productivity. Our results suggest that stimulating loss firms' investment with refunds unconditional on their future prospects comes at the risk of misallocation. JEL Classifications: G31; H21; H25.

tti2002: Introduction and Conference Overview

2003 ◽  
Vol 17 (1) ◽  
pp. 9-14 ◽  
Author(s):  
E. H. Robson
Keyword(s):  
Higher Education ◽  
Technology Transfer ◽  
Special Issue ◽  
International Convention ◽  
International Conference ◽  
Introductory Paper ◽  
Personal Reflections ◽  
Selection Of

This special issue of Industry and Higher Education is devoted to a selection of papers and reports from tti2002, an international conference on technology transfer and innovation held at the International Convention Centre, Birmingham, UK in July 2002. In this introductory paper, the author provides the context of the conference, summarizes the presentations given by invited speakers and offers personal reflections on the event.

scholarly journals Revenue efficiency in higher education institutions under imperfect competition

2016 ◽  
Vol 32 (4) ◽  
pp. 282-295 ◽  
Author(s):  
Geraint Johnes ◽  
John Ruggiero
Keyword(s):  
Higher Education ◽  
Imperfect Competition ◽  
Monopolistic Competition ◽  
Higher Education Institutions ◽  
Institutions Of Higher Education ◽  
Revenue Efficiency ◽  
Academic Year ◽  
Modelling Process ◽  
Selection Of

A number of studies have considered the evaluation of efficiency in higher education institutions. In this paper, we focus on the issue of revenue efficiency, in particular ascertaining the extent to which, given output prices, producers choose the revenue maximising vector of outputs. We then relax the price taking assumption to consider the case in which the market for some outputs is characterised by monopolistic competition. We evaluate efficiencies for English institutions of higher education for the academic year 2012–13 and find considerable variation across institutions in revenue efficiency. The relaxation of the price-taking assumption leads to relatively small changes, in either direction, to the estimated revenue efficiency scores. A number of issues surrounding the modelling process are raised and discussed, including the determination of the demand function for each type of output and the selection of inputs and outputs to be used in the model.

PSXII-2 Identification of candidate SNPs associated with high prolificacy in Romanov sheep

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 254-255
Author(s):  
Alexey V Shakhin ◽  
Arsen V Dotsev ◽  
Tatiana E Deniskova ◽  
Gottfried Brem ◽  
Natalia A Zinovieva
Keyword(s):  
Higher Education ◽  
Genetic Basis ◽  
Reference Genome ◽  
Unique Property ◽  
Candidate Snps ◽  
Merino Sheep ◽  
Sheep Breeds ◽  
Important Trait ◽  
Very High ◽  
Selection Of

Abstract Prolificacy is a very important trait in sheep. Romanov sheep, the well-known Russian sheep breed, are characterized by very high prolificacy; however, the genetic basis of this unique property of Romanov sheep is still unknown. It was reported that Ovine BMPR1B gene, located on the OAR6, is associated with prolificacy in several sheep breeds. The aim of our study was to identify candidate SNPs within BMPR1B gene, related to prolificacy. To achieve this goal, using NGS technology, we sequenced ovine BMPR1B gene in Romanov sheep (n = 6), which are characterized by high prolificacy (about 270 lambs per 100 ewes). The sequences of BMPR1B gene of Noire du Velay, Tan, Southdown and Australian Horned Merino sheep breeds as well as Asiatic mouflon (n = 1), which are characterized by significantly lower prolificacy (from 110 to 180 lambs per 100 ewes) were derived from publicly available sources and used for comparison. FST analysis performed in PLINK 1.9 program revealed 10 SNPs with values higher than 0.8. The majority of candidate SNPs under putative selection were localized in the region from 29,382,098 to 29,430,387 on OAR6 of Ovine reference genome (Oar_v3.1 (Ensembl release 98). Thus, we can suggest, that this region of the BMPR1B gene can be considered as the putative region, associated with high prolificacy of Romanov sheep. Additional studies will be needed to confirm the effect of identified candidate SNPs on prolificacy traits. The research results will be useful for artificial selection of sheep with higher prolific capacity, including the introduction of desired alleles in sheep populations using genome editing technologies. This work was supported by the Russian Ministry of Science and Higher Education No. 0445-2019-0024 and RFBR No. 20-516-56002.

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