Results 31 to 40 of about 7,058,297 (259)
Adaptable Smart Learning Environments supported by Multimodal Learning Analytics
Smart Learning Environments and Learning Analytics hold promise of providing personalized support to learners according to their individual needs and context. This support can be achieved by collecting and analyzing data from the different learning tools
Serrano Iglesias, Sergio +5 more
core +1 more source
Chapter Balancing Between Smart and Inclusive: Learning Cities for Sustainable Urban Communities
Since 2012, Global Learning Cities has become a successful network-based movement of UNESCO which demonstrates not only linkages, but also dependencies amongst community development, adult learning and active citizenship (UNESCO 2017).
Nemèth, Balàzs
core +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Cell surface CD11c as a neutrophil aging marker molecule
Cell surface CD11chi neutrophils were more aged and had better phagocytic function than CD11c−/lo neutrophils. Transcriptomic analysis of CD11chi neutrophils and CD11c−/lo neutrophils in pediatric population showed that the most difference was seen in infants.
Sophia Koutsogiannaki +5 more
wiley +1 more source
Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns
Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen +24 more
wiley +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Smart education and e-learning 2016 /
Comprend des références bibliographiques et un index.This book contains the contributions presented at the 3rd international KES conference on Smart Education and Smart e-Learning, which took place in Puerto de la Cruz, Tenerife, Spain, June 15-17, 2016.
KES International. Conference on Smart Education and e-Learning +3 more
core +1 more source
Review of: Citizen Science: Public Participation in Environmental Research; Janis L. Dickinson and Rick Bonney; (2015). Comstock Publishing Associates, Ithaca, NY. 304 pages.
Jillian Mochnick
doaj +1 more source
A smart tool for the diagnosis of Parkinsonian syndrome using wireless watches [PDF]
This work is licensed under a Creative Commons Attribution 3.0 License.Early detection and diagnosis of Parkinson disease will provide a good chance for patients to take early actions and prevent its further development.
Meng, H, Goll, A
core +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source

