The global COVID-19 pandemic has had a major impact on teaching approaches across higher education institutions. In this article, we reflect on the lessons learned designing and developing two virtual neuroscience labs and how they can positively contribute to Neuroscience teaching beyond this pandemic.
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http://dx.doi.org/10.59390/FCUJ4587 | DOI Listing |
Int J Mol Sci
January 2025
IRCAD (Interdisciplinary Research Center of Autoimmune Diseases), Università del Piemonte Orientale (UPO), 28100 Novara, Italy.
SARS-CoV-2 virus, the etiological agent of the novel coronavirus disease 19 (COVID-19), was first identified in late 2019, following the sudden appearance of a cluster of pneumonia cases of unknown origin in China [...
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Department of Bioinformatics and Structural Biochemistry, Institute of Biochemistry of the Romanian Academy, Splaiul Independentei 296, 060031 Bucharest, Romania.
We test here the prediction capabilities of the new generation of deep learning predictors in the more challenging situation of multistate multidomain proteins by using as a case study a coiled-coil family of Nucleotide-binding Oligomerization Domain-like (NOD-like) receptors from and a few extra examples for reference. Results reveal a truly remarkable ability of these platforms to correctly predict the 3D structure of modules that fold in well-established topologies. A lower performance is noticed in modeling morphing regions of these proteins, such as the coiled coils.
View Article and Find Full Text PDFCancers (Basel)
January 2025
RM Gorbacheva Research Institute of Pediatric Oncology, Hematology and Transplantation, Pavlov University, 191144 St. Petersburg, Russia.
T-cell redirecting therapies, which include chimeric antigen receptor T-cells (CAR-Ts) and bispecific antibodies (BSAs), have revolutionized the treatment of relapsed\refractory large B-cell lymphoma (LBCL). Expanding clinical experience with these advanced therapies shows the potential for the optimization of their use with combination or consolidation strategies, which necessitates the prognostic stratification of patients. While traditional clinical prognostic factors identified in the era of chemotherapy are characterized by limited value, the tumor microenvironment (TME) is becoming a new prognostic cluster.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
Department of Computer Science, University of Saskatchewan, Saskatoon, SK S7N 5C9, Canada.
We engaged with health sector stakeholders and public health professionals within the health system through a participatory modeling approach to support policy-making in the early COVID-19 pandemic in Saskatchewan, Canada. The objective was to use simulation modeling to guide the implementation of public health measures and short-term hospital capacity planning to mitigate the disease burden from March to June 2020. We developed a hybrid simulation model combining System Dynamics (SD), discrete-event simulation (DES), and agent-based modeling (ABM).
View Article and Find Full Text PDFJ Adv Nurs
January 2025
Faculty of Health, Sports and Social Work, Inholland University of Applied Sciences, Amsterdam, The Netherlands.
Aim: The aim of this study was to provide insights into how, through exploring goal-setting interventions, a nursing team in geriatric rehabilitation might refine their patient-centred strategies.
Design: The study design was participatory action research (PAR).
Method: Team members and nursing students, under the guidance of a facilitator, performed two PAR cycles.
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