Results 91 to 100 of about 8,736,056 (314)

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

open access: yesFEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell   +8 more
wiley   +1 more source

From patient advocacy to patient‐driven research: Building active partnerships beginning at the bench to reach the bedside

open access: yesFEBS Open Bio, EarlyView.
Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia   +9 more
wiley   +1 more source

Deep-Learning-Based Components Identification for Raman Spectroscopy

open access: yes, 2020
Raman spectra contain abundant information from molecules but are difficult to analyze, especially for the mixtures. Deep-Learning-Based Components Identification for Raman Spectroscopy (DeepCID) has been proposed for the problem of components ...
Fan Xiaqiong (8214120)
core   +1 more source

Deep learning? What deep learning?

open access: yesSouth African Journal of Higher Education, 2003
In teaching generally over the past twenty years, there has been a move towards teaching methods that encourage deep, rather than surface approaches to learning. The reason for this being that students, who adopt a deep approach to learning are considered to have learning outcomes of a better quality and desirability than those who adopt a surface ...
openaire   +2 more sources

3D Deep Learning Course

open access: yes
The course includes the full framework for coming up with AI processing workflows, understanding why and how 3D can extend 2D approaches, developing and testing 3D Deep Learning Models, getting quickly working models on various OS, building your own ...
Poux, Florent
core   +1 more source

A Classifier Based on K-Nearest Neighbors Using Weighted Summation of Reconstruction Errors [PDF]

open access: yesمجله مدل سازی در مهندسی
In this paper, a classifier is introduced based on the nearest neighbor classifier and the reconstruction error for data classification. In the proposed method, first, K nearest data points (neighbors) from each category in the training data are ...
Rassoul Hajizadeh   +1 more
doaj   +1 more source

Evaluating GenAI‐produced feedback on undergraduate bioscience essays against good higher education feedback practice

open access: yesFEBS Open Bio, EarlyView.
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court   +3 more
wiley   +1 more source

Development of Deep Learning Methodologies for Modeling Navigational Features in Continuous Spaces [PDF]

open access: yes, 2021
This thesis proposes generalized methodologies to model navigational features of continuous spaces using deep learning architectural approaches. Navigational features impact how an entity can effectively travel within a space, such as environmental ...
Hoyt, Zackary
core  

Determinants of undergraduate bioscience engagement: Validating attendance barriers and classroom spatial behaviour across institutions

open access: yesFEBS Open Bio, EarlyView.
Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page   +4 more
wiley   +1 more source

Deep Learning for Image Recognition

open access: yes, 2018
With recent rapid advances in deep learning, there have been major breakthroughs in computer vision, one of the core subareas of artificial intelligence.
Yu, Y
core  

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