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Institution

Bielefeld University

EducationBielefeld, Nordrhein-Westfalen, Germany
About: Bielefeld University is a education organization based out in Bielefeld, Nordrhein-Westfalen, Germany. It is known for research contribution in the topics: Population & Quantum chromodynamics. The organization has 10123 authors who have published 26576 publications receiving 728250 citations. The organization is also known as: University of Bielefeld & UNIVERSITAET BIELEFELD.


Papers
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Journal ArticleDOI
TL;DR: Individual differences in personality are often described on the basis of a small set of dimensional core characteristics that are commonly defined as largely consistent patterns of thoughts, feelings, and feelings as mentioned in this paper.
Abstract: Individual differences in personality are often described on the basis of a small set of dimensional core characteristics that are commonly defined as largely consistent patterns of thoughts, feeli...

157 citations

Journal ArticleDOI
TL;DR: In this paper, the authors prove equivalent conditions for two-sided sub-Gaussian estimates of heat kernels on metric measure spaces and show that these are equivalent to the conditions for heat kernels in the case of two sides.
Abstract: We prove equivalent conditions for two-sided sub-Gaussian estimates of heat kernels on metric measure spaces.

156 citations

Journal ArticleDOI
TL;DR: Investigation of university students' digital health literacy and online information seeking behaviours during the early stages of the coronavirus pandemic in Germany found female students were found to use social media and health portals more frequently, while male students used Wikipedia and other online encyclopaedias as well as YouTube more often.
Abstract: Background: Digital communication technologies are playing an important role in the health communication strategies of governments and public health authorities during the COVID-19 pandemic. The internet and social media have become important sources of health-related information on COVID-19 and on protective behaviors. In addition, the COVID-19 infodemic is spreading faster than the coronavirus itself, which interferes with governmental health-related communication efforts. This jeopardizes national public health containment strategies. Therefore, digital health literacy is a key competence to navigate web-based COVID-19–related information and service environments. Objective: This study aimed to investigate university students’ digital health literacy and web-based information-seeking behaviors during the early stages of the COVID-19 pandemic in Germany. Methods: A cross-sectional study among 14,916 university students aged ≥18 years from 130 universities across all 16 federal states of Germany was conducted using a web-based survey. Along with sociodemographic characteristics (sex, age, subjective social status), the measures included five subscales from the Digital Health Literacy Instrument (DHLI), which was adapted to the specific context of the COVID-19 pandemic. Web-based information-seeking behavior was investigated by examining the web-based sources used by university students and the topics that the students searched for in connection with COVID-19. Data were analyzed using univariate and bivariate analyses. Results: Across digital health literacy dimensions, the greatest difficulties could be found for assessing the reliability of health-related information (5964/14,103, 42.3%) and the ability to determine whether the information was written with a commercial interest (5489/14,097, 38.9%). Moreover, the respondents indicated that they most frequently have problems finding the information they are looking for (4282/14,098, 30.4%). When stratified according to sociodemographic characteristics, significant differences were found, with female university students reporting a lower DHLI for the dimensions of “information searching” and “evaluating reliability.” Search engines, news portals, and websites of public bodies were most often used by the respondents as sources to search for information on COVID-19 and related issues. Female students were found to use social media and health portals more frequently, while male students used Wikipedia and other web-based encyclopedias as well as YouTube more often. The use of social media was associated with a low ability to critically evaluate information, while the opposite was observed for the use of public websites. Conclusions: Although digital health literacy is well developed in university students, a significant proportion of students still face difficulties with certain abilities to evaluate information. There is a need to strengthen the digital health literacy capacities of university students using tailored interventions. Improving the quality of health-related information on the internet is also key.

156 citations

Journal ArticleDOI
TL;DR: In this paper, the authors extend the singular value decomposition to a path of matrices and develop an algorithm for computing analytic SVD's, which converges with the Euler-like method.
Abstract: This paper extends the singular value decomposition to a path of matricesE(t). An analytic singular value decomposition of a path of matricesE(t) is an analytic path of factorizationsE(t)=X(t)S(t)Y(t) T whereX(t) andY(t) are orthogonal andS(t) is diagonal. To maintain differentiability the diagonal entries ofS(t) are allowed to be either positive or negative and to appear in any order. This paper investigates existence and uniqueness of analytic SVD's and develops an algorithm for computing them. We show that a real analytic pathE(t) always admits a real analytic SVD, a full-rank, smooth pathE(t) with distinct singular values admits a smooth SVD. We derive a differential equation for the left factor, develop Euler-like and extrapolated Euler-like numerical methods for approximating an analytic SVD and prove that the Euler-like method converges.

156 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore the psychological wellbeing of domestic and international university students during the COVID-19 pandemic, an online cross-sectional survey recruited 787 university students (18+ years) currently studying at an Australian university and find that 34.7% of students reported a sufficient level of wellbeing, while 33.8% showed low wellbeing and 31.5% very low wellbeing.
Abstract: COVID-19 has created significant challenges for higher education institutions and major disruptions in teaching and learning. To explore the psychological wellbeing of domestic and international university students during the COVID-19 pandemic, an online cross-sectional survey recruited 787 university students (18+ years) currently studying at an Australian university. In total, 86.8% reported that COVID-19 had significantly impacted their studies. Overall, 34.7% of students reported a sufficient level of wellbeing, while 33.8% showed low wellbeing and 31.5% very low wellbeing. Wellbeing was significantly higher in postgraduate students compared with undergraduate students. Future anxiety was significantly greater among undergraduate than postgraduate students. Multivariable regression models showed female gender, low subjective social status, negative overall learning experience or reporting COVID-19 having a huge impact on study, were associated with lower wellbeing in the first few months (May-July) of the pandemic. Supporting the health, wellbeing, and learning experiences of all students should be of high priority now and post-pandemic. Strategies specifically targeting female students, and those with low self-reported social status are urgently needed to avoid exacerbating existing disparities.

156 citations


Authors

Showing all 10375 results

NameH-indexPapersCitations
Stefan Grimme113680105087
Alfred Pühler10265845871
James Barber10264242397
Swagata Mukherjee101104846234
Hans-Joachim Werner9831748508
Krzysztof Redlich9860932693
Graham C. Walker9338136875
Christian Meyer93108138149
Muhammad Farooq92134137533
Jean Willy Andre Cleymans9054227685
Bernhard T. Baune9060850706
Martin Wikelski8942025821
Niklas Luhmann8542142743
Achim Müller8592635874
Oliver T. Wolf8333724211
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023150
2022511
20211,696
20201,656
20191,410
20181,299