1 |
Cortical microstructure in primary progressive aphasia: a multicenter study.
|
|
|
|
In: Alzheimer's research & therapy, vol 14, iss 1 (2022)
|
|
BASE
|
|
Show details
|
|
2 |
Analysis of ancestry heterozygosity suggests that hybrid incompatibilities in threespine stickleback are environment dependent.
|
|
|
|
In: PLoS biology, vol 20, iss 1 (2022)
|
|
BASE
|
|
Show details
|
|
3 |
Ecclesiastical Pressures and Language Politics: The Boundary Work of Albanian Language in the 17th-18th Centuries
|
|
|
|
In: ISSN: 0090-5992 ; EISSN: 1465-3923 ; Nationalities Papers ; https://halshs.archives-ouvertes.fr/halshs-03648536 ; Nationalities Papers, Taylor & Francis (Routledge), 2022, pp.1-28. ⟨10.1017/nps.2021.55⟩ (2022)
|
|
BASE
|
|
Show details
|
|
4 |
Edinburgh Postnatal Depression Scale (EPDS) for screening for depression in the first year post delivery in a low-resourced rural setting in Kenya ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
Edinburgh Postnatal Depression Scale (EPDS) for screening for depression in the first year post delivery in a low-resourced rural setting in Kenya ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
Dialectic as Ostension Towards the Transcendent: Language and Mystical Intersubjectivity in Plotinus’ Enneads ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
'Tis but Thy Name: Semantic Question Answering Evaluation with 11M Names for 1M Entities ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
MLLP-VRAIN Spanish ASR Systems for the Albayzín-RTVE 2020 Speech-to-Text Challenge: Extension
|
|
|
|
In: Applied Sciences; Volume 12; Issue 2; Pages: 804 (2022)
|
|
BASE
|
|
Show details
|
|
11 |
Emotional and Social Engagement in the English Language Classroom for Higher Education Students in the COVID-19 Online Context
|
|
|
|
In: Sustainability; Volume 14; Issue 8; Pages: 4527 (2022)
|
|
BASE
|
|
Show details
|
|
12 |
Behavior Problems and Social Competence in Fragile X Syndrome: A Systematic Review
|
|
|
|
In: Genes; Volume 13; Issue 2; Pages: 280 (2022)
|
|
BASE
|
|
Show details
|
|
15 |
The Roles of the ADOS-2 and Cognition in Measuring and Diagnosing Autism Spectrum Disorder
|
|
|
|
In: Psychology Dissertations (2022)
|
|
BASE
|
|
Show details
|
|
18 |
Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Behavior Problems and Social Competence in Fragile X Syndrome: A Systematic Review
|
|
|
|
In: Genes (Basel) (2022)
|
|
BASE
|
|
Show details
|
|
20 |
The Structure of Social Networks and Its Link to Higher Education Students’ Socio-Emotional Loneliness During COVID-19
|
|
|
|
In: Front Psychol (2022)
|
|
Abstract:
Lonely students typically underperform academically. According to several studies, the COVID-19 pandemic is an important risk factor for increases in loneliness, as the contact restrictions and the switch to mainly online classes potentially burden the students. The previously familiar academic environment (campus), as well as the exchange with peers and lecturers on site, were no longer made available. In our cross-sectional study, we examine factors that could potentially counteract the development of higher education student loneliness during the COVID-19 pandemic from a social network perspective. During the semester, N = 283 students from across all institutional faculties of a German comprehensive university took part in an online survey. We surveyed their social and emotional experiences of loneliness, their self-reported digital information-sharing behavior, and their current egocentric networks. Here, we distinguished between close online contacts (i.e., mainly online exchanges) and close offline contacts (i.e., mainly in-person face-to-face exchanges). In addition, we derived the interconnectedness (i.e., the densities of the egocentric networks) and heterogeneity (operationalized with the entropy) of students’ contacts. To obtain the latter, we used a novel two-step method combining t-distributed stochastic neighbor embedding (t-SNE) and cluster analysis. We explored the associations of the aforementioned predictors (i.e., information-sharing behavior, number of online and offline contacts, as well as interconnectedness and heterogeneity of the close contacts network) on social and emotional loneliness separately using two hierarchical multiple linear regression models. Our results suggest that social loneliness is strongly related to digital information-sharing behavior and the network structure of close contacts. In particular, high information-sharing behavior, high number of close contacts (whether offline or online), a highly interconnected network, and a homogeneous structure of close contacts were associated with low social loneliness. Emotional loneliness, on the other hand, was mainly related to network homogeneity, in the sense that students with homogeneous close contacts networks experienced low emotional loneliness. Overall, our study highlights the central role of students’ close social network on feelings of loneliness in the context of COVID-19 restrictions. Limitations and implications are discussed.
|
|
Keyword:
Psychology
|
|
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8792991/ https://doi.org/10.3389/fpsyg.2021.733867
|
|
BASE
|
|
Hide details
|
|
|
|