Results 51 to 60 of about 7,339,380 (346)

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

open access: yesMolecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Integration of computational thinking in K-12 mathematics education: a systematic review on CT-based mathematics instruction and student learning

open access: yesInternational Journal of STEM Education, 2023
There has been substantial research undertaken on the integration of computational thinking (CT) in K-12 mathematics education in recent years, particularly since 2018 when relevant systematic reviews were conducted on the topic.
Huiyan Ye   +3 more
doaj   +1 more source

Students' perspectives on the nature of mathematics [PDF]

open access: yes, 2006
This paper reports on one small component of a much larger study that explored the perspectives of students towards mathematics learning. Students were asked “What do you think maths is all about?” Some students responded in terms of mathematical content.
Taylor, Merilyn   +3 more
core   +1 more source

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

Exploring the multifaceted roles of mathematics learning in predicting students' computational thinking competency

open access: yesInternational Journal of STEM Education, 2023
Background There exist shared competencies between computational thinking (CT) and mathematics, and these two domains also mutually benefit from various teaching approaches. However, the linkages between mathematics and computational thinking lack robust
Silvia Wen-Yu Lee   +3 more
doaj   +1 more source

Humour to learn Mathematics: mathematical tasks to laugh and learn

open access: yes, 2021
Good mood and wellbeing make work and learning much easier. And this is what humour is really all about, to make people feel well and to make them laugh. Humour will minimise stressful situations and facilitate communication. Among the different forms of humour, graphic humour, based on comic strips and cartoons, is constantly present in magazines ...
Menezes, Luís   +6 more
openaire   +2 more sources

Improving Student’s Emotional Intelligence By Mathematics Learning [PDF]

open access: yes, 2011
This paper aims to provide a description of realistic mathematics education in improving emotional intelligence. Mathematics is a tool that can be developed to foster thinking (reasoning) and attitudes (emotions) (Nelissen, 2007).
Hasratuddin, Hasratuddin
core  

Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova   +9 more
wiley   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Deep Learning for Symbolic Mathematics

open access: yesCoRR, 2019
Neural networks have a reputation for being better at solving statistical or approximate problems than at performing calculations or working with symbolic data. In this paper, we show that they can be surprisingly good at more elaborated tasks in mathematics, such as symbolic integration and solving differential equations.
Guillaume Lample, François Charton
openaire   +3 more sources

Home - About - Disclaimer - Privacy