scholarly journals Market-Making Practices of Private Tutoring in Finland: Commercialization of Exam Preparation for Admission to Higher Education

2020 ◽  
pp. 209653112095666
Author(s):  
Suvi Jokila ◽  
Nina Haltia ◽  
Sonja Kosunen
Keyword(s):  
Nordic Country ◽  
Private Tutoring ◽  
Data Sets ◽  
Preparation Process ◽  
Market Making ◽  
Entrance Examinations ◽  
Exam Preparation ◽  
Preparatory Course ◽  
Systemic Understanding ◽  
The University

Purpose: This study focuses on courses that prepare applicants for universities’ highly competitive entrance examinations in Finland. The analysis clarifies the market-making practices and the construction of this field. Design/Approach/Methods: To understand these processes, we use Çalişkan and Callon’s five framings for studying marketization as a heuristic framework. In our analysis, we combine different data sets, including data on course provision, thematic interviews, documents, and ethnographic notes. Findings: In this article, we argue that the preparatory course markets in Finland are an example of private tutoring which operates in the privacy of the university applicants’ exam preparation process, thus commercializing this process. The market making of this type of private tutoring is an assemblage of a variety of agents that interact in parallel with each other. Originality/Value: This study aims to contribute to the systemic understanding of the assemblage of private tutoring markets in an equality-focused Nordic country by providing new heuristic lenses from economic sociology through which to view private tutoring.

Prevalence Rates for Medical Problems among Flautists: A Comparison of the UNT-Musician Health Survey and the Flute Health Survey

2001 ◽  
Vol 16 (3) ◽  
pp. 99-101
Author(s):  
Cari Spence
Keyword(s):  
Health Survey ◽  
Sleep Disturbances ◽  
Data Sets ◽  
Prevalence Rates ◽  
Medical Problems ◽  
North Texas ◽  
University Of North Texas ◽  
Left Hand ◽  
Significant Difference ◽  
The University

The purpose of this study was to identify prevalence rates of medical problems among flautists. The Flute Health Survey (FHS), a questionnaire with items regarding musculoskeletal and nonmusculoskeletal problems, was distributed at the 1999 National Flute Association annual meeting (n = 40). This questionnaire was pilot tested at the 1999 Texas Flute Festival, which is hosted by the Texas Flute Society. The University of North Texas has posted on the Internet a similar questionnaire regarding the medical problems of all musicians. Responses from the University of North Texas Musician Health Survey (UNT-MHS) were filtered to include only those respondents who denoted flute as their primary instruments (n = 328). Data sets from both surveys were then processed using comparative statistics. Findings show that there was no significant difference between the demographics of the two populations. Only one musculoskeletal site, the left hand, was found to be statistically significant between the two groups. Four nonmusculoskeletal items, depression, earache, headache, and sleep disturbances, were found to be different between the two groups. The overall findings of this comparison show that there are many medical problems facing the flute playing community. Further investigation and observations of this population are necessary.

The genesis of IT tools in making management decisions of the university admission committee

2021 ◽  
pp. 11-22
Author(s):  
А. А. Zubrilin ◽  
О. I. Pautkina
Keyword(s):  
Final Stage ◽  
Management Decisions ◽  
Online Services ◽  
Important Place ◽  
Entrance Examinations ◽  
The Past ◽  
University Admission ◽  
Processing Information ◽  
Admission Office ◽  
The University

The article discusses the issue of the dynamics of changes in IT tools that have been and are used to make management decisions in the work of the university admission committee. The main directions of the work of the admission committee are highlighted: organizational and methodological, technological, the actual admission campaign and generalization, as the final stage at which the results of the admission campaign are summed up. The features of each of the directions are highlighted and the IT tools that were used for them are indicated. It is shown that over the past two decades, IT tools have undergone drastic changes, which are associated with an increase in the functionality of the admission committee. Arguments are given in support of the thesis that the solution for automating the management activities of the university, in particular for the admission campaign, over the past years has been a domestic software on the 1C:Enterprise platform — the 1C:University system. The article presents the stage-by-stage coordination of the admission campaign — from planning and forming the required list of documents (application of the applicant, receipt, examination sheets) to processing information about entrance examinations and USE results, forming enrollment orders. It is shown that the 1C:University system occupies an important place in the automation of many processes taking place in the admission office of the university. Online services that are important for the organization of the admission campaign are described. 

scholarly journals KnowEnG: a knowledge engine for genomics

2015 ◽  
Vol 22 (6) ◽  
pp. 1115-1119 ◽  
Author(s):  
Saurabh Sinha ◽  
Jun Song ◽  
Richard Weinshilboum ◽  
Victor Jongeneel ◽  
Jiawei Han
Keyword(s):  
Big Data ◽  
National Institutes Of Health ◽  
Knowledge Network ◽  
Data Sets ◽  
Network Mining ◽  
Construction Of Knowledge ◽  
Community Data ◽  
Science Framework ◽  
The University ◽  
Big Data Computing

Abstract We describe here the vision, motivations, and research plans of the National Institutes of Health Center for Excellence in Big Data Computing at the University of Illinois, Urbana-Champaign. The Center is organized around the construction of “Knowledge Engine for Genomics” (KnowEnG), an E-science framework for genomics where biomedical scientists will have access to powerful methods of data mining, network mining, and machine learning to extract knowledge out of genomics data. The scientist will come to KnowEnG with their own data sets in the form of spreadsheets and ask KnowEnG to analyze those data sets in the light of a massive knowledge base of community data sets called the “Knowledge Network” that will be at the heart of the system. The Center is undertaking discovery projects aimed at testing the utility of KnowEnG for transforming big data to knowledge. These projects span a broad range of biological enquiry, from pharmacogenomics (in collaboration with Mayo Clinic) to transcriptomics of human behavior.

scholarly journals Film Cooling Effectiveness Data for Simple Injection Geometries: A Collection of Three-Axis Plots

1994 ◽  
Vol 1 (1) ◽  
pp. 73-81 ◽  
Author(s):  
L. D. Stone ◽  
R. J. Goldstein
Keyword(s):  
Film Cooling ◽  
Density Ratio ◽  
Compact Representation ◽  
Data Sets ◽  
University Of Minnesota ◽  
Cooling Effectiveness ◽  
Film Cooling Effectiveness ◽  
Standard Of Comparison ◽  
The University ◽  
Effectiveness Data

A three-axis plot of laterally averaged film cooling effectiveness versus blowing rate and versus dimensionless distance downstream is a sufficiently compact representation of film cooling effectiveness data for injection through a row of holes or two rows of holes to enable easy, global comparisons among a variety of data sets. By plotting data from several film cooling studies conducted at the University of Minnesota, the dominant roles played by density ratio, hole spacing, and surface curvature become apparent. It is also seen that a slot-plate prediction/correlation from two-dimensional film cooling studies makes an excellent standard of comparison for all film cooling studies, even though the more commonly encountered (two-axis) comparisons using standardized nondimensional parameters do not usually suggest this.

The University of Texas Inequality Project Global Inequality Data Sets, 1963–2008: Updates, Revisions and Quality Checks

2016 ◽  
pp. 7-39 ◽  
Author(s):  
James K. Galbraith ◽  
Béatrice Halbach ◽  
Aleksandra Malinowska ◽  
Amin Shams ◽  
Wenjie Zhang
Keyword(s):  
Data Sets ◽  
Global Inequality ◽  
University Of Texas ◽  
Quality Checks ◽  
The University

Generalizing Benfordʼs Law

Benford's Law ◽  
2015 ◽  
Author(s):  
Joanne Lee ◽  
Wendy K. Tam Cho ◽  
George Judge
Keyword(s):  
Scientific Misconduct ◽  
Adaptive Methods ◽  
Data Sets ◽  
Federal Grants ◽  
Information Theoretic ◽  
Data Adaptive ◽  
The University ◽  
University Of Vermont ◽  
Case Data ◽  
Information Theoretic Methods

This chapter examines and searches for evidence of fraud in two clinical data sets from a highly publicized case of scientific misconduct. In this case, data were falsified by Eric Poehlman, a faculty member at the University of Vermont, who pleaded guilty to fabricating more than a decade of data, some connected to federal grants from the National Institutes of Health. Poehlman had authored influential studies on many topics; including obesity, menopause, lipids, and aging. The chapter's classical Benford analysis along with a presentation of a more general class of Benford-like distributions highlights interesting insights into this and similar cases. In addition, this chapter demonstrates how information-theoretic methods and other data-adaptive methods are promising tools for generating benchmark distributions of first significant digits (FSDs) and examining data sets for departures from expectations.

The University Partnerships for Critical Reflection by Teacher Trainers

2016 ◽  
pp. 1806-1821
Author(s):  
Eda Üstünel ◽  
Kenan Dikilitaş
Keyword(s):  
Professional Development ◽  
Focus Group ◽  
Professional Learning ◽  
Likert Scale ◽  
Data Sets ◽  
Educational Training ◽  
Focus Group Discussions ◽  
Group Discussions ◽  
University Partnerships ◽  
The University

This chapter explores educational training-based partnerships between universities in relation to in-service teacher education practices to enhance the quality of the professional development activities currently in practice. With this in mind, the nature and content of the collaboration between different universities located in Turkey are depicted through the analysis of triangulated data sets from written reports, focus group discussions, and the Likert scale questionnaire in order to elaborate on the impact of exchange of information and visitations on the trainers' professional development. The chapter accomplishes the self-reported impact of university-university collaboration on the participating trainers as well as one-day T-PLUS (Trainers' Professional Learning and Unlimited Sharing) meeting during which the trainers exchange ideas about teacher training and professional development tools and procedures in focus group discussions. The results indicate positive stance towards such a collaboration model that emerged as a result of the written reports and the Likert scale questionnaire.

An Efficient Method for Forecasting Using Fuzzy Time Series

2017 ◽  
pp. 287-304 ◽  
Author(s):  
Pritpal Singh
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Weather Forecasting ◽  
Small Error ◽  
Fuzzy Time Series ◽  
Series Data ◽  
Data Sets ◽  
Proposed Model ◽  
Temperature Forecasting ◽  
The University

Forecasting using fuzzy time series has been applied in several areas including forecasting university enrollments, sales, road accidents, financial forecasting, weather forecasting, etc. Recently, many researchers have paid attention to apply fuzzy time series in time series forecasting problems. In this paper, we present a new model to forecast the enrollments in the University of Alabama and the daily average temperature in Taipei, based on one-factor fuzzy time series. In this model, a new frequency based clustering technique is employed for partitioning the time series data sets into different intervals. For defuzzification function, two new principles are also incorporated in this model. In case of enrollments as well daily temperature forecasting, proposed model exhibits very small error rate.

scholarly journals A comparison of friction modifier performance using two laboratory test scales

2018 ◽  
Vol 233 (2) ◽  
pp. 201-210 ◽  
Author(s):  
L Buckley-Johnstone ◽  
M Harmon ◽  
R Lewis ◽  
C Hardwick ◽  
R Stock
Keyword(s):  
Test Procedure ◽  
Full Scale ◽  
Data Sets ◽  
Test Machine ◽  
Performance Study ◽  
Friction Modifier ◽  
Additional Information ◽  
Large Spread ◽  
Dry Contact ◽  
The University

This paper describes two methods, carried out at two different test scales, for assessing the friction modifier performance. Study A used the wear data from a full-scale rig test at the voestalpine Schienen GmbH and compared it with the wear data from twin disc tests using the SUROS test machine at the University of Sheffield. Study B compared the ‘retentivity’ data, from a full-scale rig at the University of Sheffield, with the data from the SUROS tests. Study A concluded that a good correlation existed between the two scales although assumptions made in the full-scale contact calculation introduce a large spread into the results. There was a greater correlation between the two data sets at more severe contact conditions. Study B showed a different baseline coefficient of traction between the two scales and that a longer test length is required to fully evaluate the ‘retention’ of the friction modifier on the full-scale rig. The paper expands on a previous conference presentation on the same subject. Additional information on the test procedure and test rigs is included here. Surface and subsurface analyses of the SUROS test samples have also been added. The analyses have shown that applying the friction modifier leads to a similar wear mechanism as for the dry contact, but the wear is less severe and there is less subsurface deformation. A discussion describing the differences in test scales and comparing lab tests to field operation is also included.

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