Earning like a Prof: Academic rank wage premia in Ústí nad Labem, Czechia

Abstract The article attempts to estimate the size of the wage premia fetched by ranked academics on the academic market in Ústí nad Labem, Czechia. We employed a large (anonymized) data set of contracts and wages of employees of a medium-sized regional public university in Ústí nad Labem. We used OLS regression in various specifications to determine the wage premia of all educational levels (mainly full professors over associate professors/ docents and associate professors/docents over assistant professors/PhDs) while controlling for many attributes (of employees or contracts) possibly affecting wage levels. The local context regarding the topic of this article is discussed as well. The results generally confirm the intuition and show a clear pattern of increasing wages with levels and ranks. Focusing predominantly on the academic ranks, the monthly premium of associate professors (docents) over PhDs seems to be somewhere between 5 and 6 thousand CZK (185 and 220 EUR), and the premium of full professors over associate professors to an average of around 4 thousand CZK (150 EUR). The latter premium, however, exhibits systematic variation across different schools within the university: in some it is insignificant (around 0), while in others it is rather large and averages around 8 thousand CZK (300 EUR).

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TEACHER ABUSE AND ASSOCIATED SOCIODEMOGRAPHIC VARIABLES IN UNIVERSITY STUDENTS

Advances in Social Sciences Research Journal ◽

10.14738/assrj.79.8936 ◽

2020 ◽

Vol 7 (9) ◽

pp. 162-173

Author(s):

Irma Ramos rodríguez

Keyword(s):

University Students ◽

Analytical Study ◽

Public University ◽

Cross Sectional ◽

Educational Levels ◽

First Semester ◽

Sociodemographic Data ◽

The University ◽

The Relationship ◽

Associated Variables

Teacher abuse is an ancient practice at different educational levels, the attacks by teachers vary from verbal and physical abuse, social exclusion, among other forms of abuse. Objective: To analyze the relationship between teacher abuse with gender, age, career, and other associated variables in students of different careers from a public university in Mexico. Methodology: A descriptive, cross-sectional, analytical study was carried out in 1149 first semester university students to collect the information, two questionnaires were applied, one on sociodemographic data and the other on teacher abuse. Results: Teacher abuse was presented in 10.5% of the participants, who claim to have been mistreated by at least one teacher in the current semester, 31.4% say they are afraid of attending university, 9.6% claim to fear a teacher. No differences were found between teacher abuse and the gender of the participants, or according to age, but there were differences according to the degree they were studying. Conclusions: Teacher abuse is a common practice in the university, this can cause in the student fear of teachers, fear of attending the university, absenteeism, school dropout and low academic performance.

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Traditional or Reverse Sex Discrimination? A Case Study of a Large Public University

ILR Review ◽

10.1177/001979398203500407 ◽

1982 ◽

Vol 35 (4) ◽

pp. 550-564 ◽

Cited By ~ 18

Author(s):

Marianne A. Ferber ◽

Carole A. Green

Keyword(s):

Sex Discrimination ◽

Public University ◽

Probit Analysis ◽

Academic Rank ◽

Full Time ◽

University Of Illinois ◽

Faculty Positions ◽

Number Of Publications ◽

The University

This study assesses the extent and causes of recent sex discrimination in academic positions at a large public university. Performing multiple regression analysis on data for all individuals hired for full-time faculty positions during the academic years 1975–76 through 1978–79 at the University of Illinois, Urbana-Champaign, the authors find that women are paid less ($2,200 less, on average) than men when such usual criteria as highest degree, experience, number of publications, honors, and field are held constant. They find no evidence that this gap closes over time. Using multiple probit analysis, the authors find, in addition, that women are less likely to be hired in tenure-track positions. Then, using discriminant analysis as an alternate method, they find that articles published is the largest contributing factor to high academic rank, but that sex is also a significant factor. The authors conclude that, despite suspicions to the contrary, their evidence shows no effective affirmative action in faculty employment.

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Diagnostics of professional competence of IT students based on digital footprint data

Informatics and Education ◽

10.32517/0234-0453-2020-35-4-4-11 ◽

2020 ◽

pp. 4-11

Author(s):

I. G. Zakharova ◽

Yu. V. Boganyuk ◽

M. S. Vorobyova ◽

E. A. Pavlova

Keyword(s):

Information Technology ◽

Educational Program ◽

Professional Competence ◽

Objective Data ◽

Text Data ◽

Data Set ◽

Job Requirements ◽

Digital Footprint ◽

Graduate Employment ◽

The University

The article goal is to demonstrate the possibilities of the approach to diagnosing the level of IT graduates’ professional competence, based on the analysis of the student’s digital footprint and the content of the corresponding educational program. We describe methods for extracting student professional level indicators from digital footprint text data — courses’ descriptions and graduation qualification works. We show methods of comparing these indicators with the formalized requirements of employers, reflected in the texts of vacancies in the field of information technology. The proposed approach was applied at the Institute of Mathematics and Computer Science of the University of Tyumen. We performed diagnostics using a data set that included texts of courses’ descriptions for IT areas of undergraduate studies, 542 graduation qualification works in these areas, 879 descriptions of job requirements and information on graduate employment. The presented approach allows us to evaluate the relevance of the educational program as a whole and the level of professional competence of each student based on objective data. The results were used to update the content of some major courses and to include new elective courses in the curriculum.

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4. “The University Has Become a Pawn”: The Fight for Autonomy at a Public University

The Campus Color Line ◽

10.1515/9780691206752-007 ◽

2020 ◽

pp. 156-197

Keyword(s):

Public University ◽

The University

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SURG-29. A SINGLE CENTRE EXPERIENCE OF USING INTRA-OPERATIVE MRI IN MANAGING PEDIATRIC CRANIAL NEURO-ONCOLOGY CASES

Neuro-Oncology ◽

10.1093/neuonc/noaa222.818 ◽

2020 ◽

Vol 22 (Supplement_3) ◽

pp. iii464-iii464

Author(s):

Dharmendra Ganesan ◽

Nor Faizal Ahmad Bahuri ◽

Revathi Rajagopal ◽

Jasmine Loh PY ◽

Kein Seong Mun ◽

...

Keyword(s):

Standard Operating Procedure ◽

Ferromagnetic Material ◽

Extent Of Resection ◽

Kuala Lumpur ◽

Data Set ◽

Single Centre Experience ◽

Physical Setting ◽

Paediatric Case ◽

High Level ◽

The University

Abstract The University of Malaya Medical Centre, Kuala Lumpur had acquired a intraoperative MRI (iMRI) brain suite via a public private initiative in September 2015. The MRI brain suite has a SIEMENS 1.5T system with NORAS coil system and NORAS head clamps in a two room solution. We would like to retrospectively review the cranial paediatric neuro-oncology cases that had surgery in this facility from September 2015 till December 2019. We would like to discuss our experience with regard to the clear benefits and the challenges in using such technology to aid in the surgery. The challenges include the physical setting up the paediatric case preoperatively, the preparation and performing the intraoperative scan, the interpretation of intraoperative images and making a decision and the utilisation of the new MRI data set to assist in the navigation to locate the residue safely. Also discuss the utility of the intraoperative images in the decision of subsequent adjuvant management. The use of iMRI also has other technical challenges such as ensuring the perimeter around the patient is free of ferromagnetic material, the process of transfer of the patient to the scanner and as a consequence increased duration of the surgery. CONCLUSION: Many elements in the use of iMRI has a learning curve and it improves with exposure and experience. In some areas only a high level of vigilance and SOP (Standard operating procedure) is required to minimize mishaps. Currently, the iMRI gives the best means of determining extent of resection before concluding the surgery.

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Homesickness and Socio-Cultural Adaptation towards Perceived Stress among International Students of a Public University in Sabah: An Exploration Study for Social Sustainability

Sustainability ◽

10.3390/su13094924 ◽

2021 ◽

Vol 13 (9) ◽

pp. 4924

Author(s):

Balan Rathakrishnan ◽

Soon Singh Bikar Singh ◽

Mohammad Rahim Kamaluddin ◽

Mohd Fahmi Ghazali ◽

Azizi Yahaya ◽

...

Keyword(s):

International Students ◽

Perceived Stress ◽

Cultural Adaptation ◽

Social Life ◽

Social Sustainability ◽

Public University ◽

Overseas Students ◽

Negative Impacts ◽

The University ◽

Local Cultures

When adolescents go overseas to study, they have to face the challenge of adapting to local cultures, homesickness, and dealing with the stress. This study aimed to investigate the socio-cultural adaptation, homesickness, and perceived stress among international students in relation to social sustainability in a public university in Sabah, Malaysia. This research also related how international students manage both positive and negative impacts on their social life in university. The study included all international students in that university except Bruneian and Indonesian students. The sample group comprised 100 male and 100 female students. This study used four questionnaires: (i) Perceived Stress Scale, (ii) Homesickness Scale, (iii) Socio-cultural Adaptation Scale, and (iv) Revised Sociocultural Adaptation Scale. The results indicated that the socio-cultural adaptation and perceived stress levels were significantly correlated, r (198) = 0.354, p < 0.05. The level of homesickness and perceived stress were also significantly correlated, r (198) = 0.314, p < 0.05. The outcome of this study can help overseas students lead better lives abroad, while the university can arrange relevant activities to help them better adapt to local cultures and perceive less stress. The present study underlined the importance of increasing socio-cultural adaptation and social sustainability and decreasing homesickness among international students studying at the public university in Sabah.

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136. Don’t Sweat the Small Stuff: Solutions for Large-Scale Stewardship Obstacles

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.181 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S79-S80

Author(s):

Joanne Huang ◽

Zahra Kassamali Escobar ◽

Rupali Jain ◽

Jeannie D Chan ◽

John B Lynch ◽

...

Keyword(s):

Urgent Care ◽

Complex Data ◽

Open Communication ◽

University Of Washington ◽

Data Set ◽

Constructive Feedback ◽

Diagnostic Coding ◽

Icd 10 ◽

Tract Infections ◽

The University

Abstract Background In an effort to support stewardship endeavors, the MITIGATE (a Multifaceted Intervention to Improve Prescribing for Acute Respiratory Infection for Adult and Children in Emergency Department and Urgent Care Settings) Toolkit was published in 2018, aiming to reduce unnecessary antibiotics for viral respiratory tract infections (RTIs). At the University of Washington, we have incorporated strategies from this toolkit at our urgent care clinics. This study aims to address solutions to some of the challenges we experienced. Challenges and Solutions Methods This was a retrospective observational study conducted at Valley Medical Center (Sept 2019-Mar 2020) and the University of Washington (Jan 2019-Feb 2020) urgent care clinics. Patients were identified through ICD-10 diagnosis codes included in the MITIGATE toolkit. The primary outcome was identifying challenges and solutions developed during this process. Results We encountered five challenges during our roll-out of MITIGATE. First, using both ICD-9 and ICD-10 codes can lead to inaccurate data collection. Second, technical support for coding a complex data set is essential and should be accounted for prior to beginning stewardship interventions of this scale. Third, unintentional incorrect diagnosis selection was common and may require reeducation of prescribers on proper selection. Fourth, focusing on singular issues rather than multiple outcomes is more feasible and can offer several opportunities for stewardship interventions. Lastly, changing prescribing behavior can cause unintended tension during implementation. Modifying benchmarks measured, allowing for bi-directional feedback, and identifying provider champions can help maintain open communication. Conclusion Resources such as the MITIGATE toolkit are helpful to implement standardized data driven stewardship interventions. We have experienced some challenges including a complex data build, errors with diagnostic coding, providing constructive feedback while maintaining positive stewardship relationships, and choosing feasible outcomes to measure. We present solutions to these challenges with the aim to provide guidance to those who are considering using this toolkit for outpatient stewardship interventions. Disclosures All Authors: No reported disclosures

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A Fast and Lightweight Method with Feature Fusion and Multi-Context for Face Detection

Future Internet ◽

10.3390/fi10080080 ◽

2018 ◽

Vol 10 (8) ◽

pp. 80

Author(s):

Lei Zhang ◽

Xiaoli Zhi

Keyword(s):

Face Detection ◽

Graphics Processing Units ◽

High Performance ◽

Feature Fusion ◽

Local Context ◽

Data Set ◽

Global Context ◽

Detection Algorithms ◽

Multi Scale ◽

Benchmark Datasets

Convolutional neural networks (CNN for short) have made great progress in face detection. They mostly take computation intensive networks as the backbone in order to obtain high precision, and they cannot get a good detection speed without the support of high-performance GPUs (Graphics Processing Units). This limits CNN-based face detection algorithms in real applications, especially in some speed dependent ones. To alleviate this problem, we propose a lightweight face detector in this paper, which takes a fast residual network as backbone. Our method can run fast even on cheap and ordinary GPUs. To guarantee its detection precision, multi-scale features and multi-context are fully exploited in efficient ways. Specifically, feature fusion is used to obtain semantic strongly multi-scale features firstly. Then multi-context including both local and global context is added to these multi-scale features without extra computational burden. The local context is added through a depthwise separable convolution based approach, and the global context by a simple global average pooling way. Experimental results show that our method can run at about 110 fps on VGA (Video Graphics Array)-resolution images, while still maintaining competitive precision on WIDER FACE and FDDB (Face Detection Data Set and Benchmark) datasets as compared with its state-of-the-art counterparts.

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