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From telecommuting and distance learning to virtual events, designers have quickly rethought traditional workflows to stay connected. With the rise of both self-imposed and mandated social distancing, as well as global turn towards remote work, ArchDaily is exploring the impact of COVID-19 and what...
The investment made to produce the modules may now be recouped by using the modules in both on-campus and distance learning degree and non-degree activities, or by using the modules for performance support. Other advantages include the ability to easily update information in the curricula and ...
Likewise, we conducted GO enrichment analysis with the AHBA datasets, which is the most complete gene expression dataset available on the human brain to date, and found that the nonuniform degree of constraints was mainly related to biological processes and cellular components involved in learning ...
We have highlighted through this research, how a physical process can be mimicked on an established deep learning architecture and applied to a complex problem with a high degree of success. This work illustrates the utility of TrebuNet architecture in not only the present use case but also for...
Assessing creativity in a ‘New Generation’ architecture degree The creative aspect of architecture remains a contentious issue, especially in terms of teaching and assessing at the tertiary level. Whereas creativity is... A Onsman - 《Thinking Skills & Creativity》 被引量: 4发表: 2016年 The ...
TEINet: a deep learning framework for prediction of TCR-epitope binding specificity. Brief. Bioinf. 24, bbad086 (2023). Article Google Scholar Chen, J. et al. TEPCAM: prediction of T-cell receptor–epitope binding specificity via interpretable deep learning. Protein Sci. 33, e4841 (2024)...
This is Britain's 'free' university, where students (often without the usual academic prerequisites) can undertake degree courses on the basis of a mixture of correspondence, in the extended technological senseindicated above, and conventional teaching in local study centres. They are written in a...
Identifying network architecture from observed neural activities is crucial in neuroscience studies. A key requirement is knowledge of the statistical input-output relation of single neurons in vivo. By utilizing an exact analytical solution of the spike
Functional annotation of gene sets found to be important for particular classifications was largely in line with pathways and mechanisms previously reported in the literature. Notably, despite very small training sets, there was remarkable degree of consistency across discovered functional categories among ...