Results 61 to 70 of about 11,751,396 (310)
Molecular Oncology, EarlyView.There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes +20 more
wiley +1 more source
Conscientization, Dialogue and Collaborative Problem Based Learning
Journal of Problem Based Learning in Higher Education, 2013 It has been argued that Paulo Freire’s concept of conscientization, where critical awareness and engagement are central to a problem-posing pedagogy, provides the philosophical principles to underpin Problem Based Learning (PBL). By using dialogue groups
Conscientization, Dialogue and Collaborative Problem Based Learning
doaj
Deep Reinforcement Learning using Cyclical Learning Rates [PDF]
arXiv, 2020 Deep Reinforcement Learning (DRL) methods often rely on the meticulous tuning of hyperparameters to successfully resolve problems. One of the most influential parameters in optimization procedures based on stochastic gradient descent (SGD) is the learning rate.
arxiv
Molecular Oncology, EarlyView.This article advocates integrating temporal dynamics into cancer research. Rather than relying on static snapshots, researchers should increasingly consider adopting dynamic methods—such as live imaging, temporal omics, and liquid biopsies—to track how tumors evolve over time.
Gautier Follain +3 more
wiley +1 more source
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning [PDF]
arXiv, 2017 Few-shot learning is challenging for learning algorithms that learn each task in isolation and from scratch. In contrast, meta-learning learns from many related tasks a meta-learner that can learn a new task more accurately and faster with fewer examples, where the choice of meta-learners is crucial.
arxiv
Positive semidefinite support vector regression metric learning [PDF]
arXiv, 2020 Most existing metric learning methods focus on learning a similarity or distance measure relying on similar and dissimilar relations between sample pairs. However, pairs of samples cannot be simply identified as similar or dissimilar in many real-world applications, e.g., multi-label learning, label distribution learning.
arxiv
What Interactive Web Features are Most Used [PDF]
, 2021 The use of interactive features in websites has become common place on the internet. People use these tools to help navigate and understand the content related to that website.
Tyler, Travis
core +1 more source
To learn and not to learn – that is the question
Procedia - Social and Behavioral Sciences, 2011 AbstractProblem StatementForms of examination in a Higher Educational setting. Existing practice often lacks the connection between learning processes that are deeper and reflective to their character. It is also usually focused on the individual and therefore fails to meet collaborative learning practice.
Maria Gustavson, Ellinor Silius-Ahonen
openaire +2 more sources
Molecular Oncology, EarlyView.Microglia act as tumor suppressors during brain metastasis colonization but shift to a tumor‐promoting role after melanoma brain metastases form. NF‐κB/RelA signaling emerges as a key driver of this phenotypic shift. Targeting this pathway reprograms microglia into a pro‐inflammatory state, enhancing antitumor immunity and immune checkpoint inhibitor ...
Noam Savion‐Gaiger +2 more
wiley +1 more source
5. Serial Team Teaching and the Evolving Scholarship of Learning: Students’ Perspective
Collected Essays on Learning and Teaching, 2011 Faculty and students at the University of Toronto were surveyed and interviewed to form a case study of serial team teaching, in which multiple instructors take turns teaching a segment of the same course in sequence.
Melody Neumann +12 more
doaj +1 more source