Results 41 to 50 of about 4,901,852 (302)

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Erfaringer med e-porteføljer og personlige læringsmiljøer

open access: yesDansk Universitetspaedagogisk Tidsskrift, 2011
Siden 2007 har undervisere og studerende på Humanistisk Informatiks første semester løbende eksperimenteret med implementering af digitale porteføljer, og hvad der kan betegnes som personlige læringsmiljøer.
Thomas Ryberg, Helle Wentzer
doaj   +2 more sources

The Potential of Artificial Intelligence in Higher Education

open access: yesRevista Virtual Universidad Católica del Norte, 2021
Artificial Intelligence (AI) is seeping into many aspects of our everyday lives, with common internet applications, smartphones and even household appliances.
Helen Crompton, Donggil Song
doaj   +1 more source

Creativity and Conflict: How theory and practice shape student identities in design education [PDF]

open access: yes, 2009
By exploring the role of student identities in shaping attitudes to learning, this study asks how design students draw on experience to work across theory and practice.
New, Christopher, Tynan, Jane
core   +1 more source

AAA+ protein unfoldases—the Moirai of the proteome

open access: yesFEBS Letters, EarlyView.
AAA+ unfoldases are essential molecular motors that power protein degradation and disaggregation. This review integrates recent cryo‐electron microscopy (cryo‐EM) structures and single‐molecule biophysical data to reconcile competing models of substrate translocation.
Stavros Azinas, Marta Carroni
wiley   +1 more source

Low-data interpretable deep learning prediction of antibody viscosity using a biophysically meaningful representation

open access: yesScientific Reports, 2023
Deep learning, aided by the availability of big data sets, has led to substantial advances across many disciplines. However, many scientific problems of practical interest lack sufficiently large datasets amenable to deep learning. Prediction of antibody
Brajesh K. Rai   +2 more
doaj   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

open access: yesMolecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee   +8 more
wiley   +1 more source

Building a school data portal using open data: A description of the user research & development process

open access: yesHeliyon, 2022
The lack of relevant and disaggregated data about schools is a challenge for organizations implementing and funders looking to invest in kindergarten through 12th-grade education programs in New York City (NYC), often forcing organizations to make ...
Steven Azeka   +2 more
doaj   +1 more source

A review of ten years of implementation and research in aligning learning design with learning analytics at the Open University UK [PDF]

open access: yes, 2017
There is an increased recognition that learning design drives both student learning experience and quality enhancements of teaching and learning. The Open University UK (OU) has been one of few institutions that have explicitly and systematically ...
Holmes, Wayne   +3 more
core  

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy