Results 71 to 80 of about 1,977,387 (333)

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source

Few-shot classification in Named Entity Recognition Task

, 2018
For many natural language processing (NLP) tasks the amount of annotated data is limited. This urges a need to apply semi-supervised learning techniques, such as transfer learning or meta-learning.
Akhundov Adnan, Cotterell Ryan, Ma Yukun, Pradhan Sameer, Ravi Sachin, Snell Jake   +5 more
core   +1 more source

The Aging Blood: Cellular Origins, Circulating Drivers, and Therapeutic Potential

Aging and Cancer, EarlyView.
As a conduit linking all organs, the blood system both reflects and actively drives systemic aging. This review highlights how circulating pro‐aging and antiaging factors and age‐associated hematopoietic stem cell dysfunction contribute to immunosenescence and multi‐organ decline, positioning the hematopoietic system as a target for aging intervention.
Hanqing He, Jianwei Wang
wiley   +1 more source

Transfer of Visual Learning Between a Virtual and a Real Environment in Honey Bees: The Role of Active Vision

Frontiers in Behavioral Neuroscience, 2018
To study visual learning in honey bees, we developed a virtual reality (VR) system in which the movements of a tethered bee walking stationary on a spherical treadmill update the visual panorama presented in front of it (closed-loop conditions), thus ...
Alexis Buatois, Clara Flumian, Patrick Schultheiss, Aurore Avarguès-Weber, Martin Giurfa   +4 more
doaj   +1 more source

Improving speaker turn embedding by crossmodal transfer learning from face embedding

, 2017
Learning speaker turn embeddings has shown considerable improvement in situations where conventional speaker modeling approaches fail. However, this improvement is relatively limited when compared to the gain observed in face embedding learning, which ...
Le, Nam, Odobez, Jean-Marc
core   +1 more source

CSF Levels of NPTX2 Are Associated With Less Brain Atrophy Over Time in Cognitively Unimpaired Individuals

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Neuronal pentraxin 2 (NPTX2) is a synaptic protein involved in synaptic plasticity and regulation of neuronal excitability. Lower baseline cerebrospinal fluid (CSF) NPTX2 levels have been shown to be associated with an earlier onset of mild cognitive impairment (MCI), a pre‐dementia syndrome, even after CSF Alzheimer's Disease (AD)
Juan P. Vazquez, Corinne Pettigrew, Yuxin Zhu, Claire Anderson, Guray Erus, Christos Davatzikos, Michael Miller, Abhay Moghekar, Sungtaek Oh, Chan‐Hyun Na, Marilyn Albert, Paul Worley, Anja Soldan   +12 more
wiley   +1 more source

Predicting Transfer of Generic Information Literacy Competencies by Non-Traditional Students to Their Study and Work Contexts: A Longitudinal Perspective

Education Sciences
Rapid developments in contemporary societies not only ask for lifelong learning but increasingly also for training in generic competencies suitable for multiple contexts and life stages.
Laurent Testers, Aldin Alijagic, Saskia Brand-Gruwel, Andreas Gegenfurtner   +3 more
doaj   +1 more source

Taking Affective Learning in Digital Education One Step Further: Trainees’ Affective Characteristics Predicting Multicontextual Pre-training Transfer Intention

Frontiers in Psychology, 2020
The past decades have shown an accelerated development of technology-enhanced or digital education. Although an important and recognized precondition for study success, still little attention has been paid to examining how an affective learning climate ...
Laurent Testers, Andreas Gegenfurtner, Saskia Brand-Gruwel   +2 more
doaj   +1 more source

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu, Oliver Robinson, Christina M. Lill, Anna Matton, Raquel Puerta, Pilar Sanz, Merce Boada, Agustín Ruiz, Lefkos Middleton, for the Alzheimer's Disease Neuroimaging Initiative   +9 more
wiley   +1 more source

Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning? [PDF]

, 2022
Yuhao Nie, Quentin Paletta, Andea Scott, Luis Martín Pomares, Guillaume Arbod, Sgouris Sgouridis, Joan Lasenby, Adam R. Brandt   +7 more
openalex   +1 more source