Results 61 to 70 of about 99,515 (314)

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 more
wiley   +1 more source

Generative AI offers more, but students revise less: comparing the effects of teacher and AI feedback on student essay revisions

International Journal of Educational Technology in Higher Education
Providing high-quality feedback on student writing is essential yet increasingly difficult due to rising class sizes and limited instructional capacity. Generative AI (GenAI) offers a promising and scalable alternative, but its effectiveness compared to ...
Mohammadreza Farrokhnia, Saeed Latifi, Pantelis M. Papadopoulos, Loes Hogenkamp, Hannie Gijlers, Hassan Khosravi, Omid Noroozi   +6 more
doaj   +1 more source

Evaluating the capability of large language models in characterising relational feedback: A comparative analysis of prompting strategies

Computers and Education: Artificial Intelligence
Relational feedback is increasingly recognised for its crucial role in enhancing student-instructor relationships and promoting the assimilation of feedback.
Wei Dai, Yixin Cheng, Ahmad Ari Aldino, Yi-Shan Tsai, Dragan Gašević, Guanliang Chen   +5 more
doaj   +1 more source

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

Molecular 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, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Knowledge Tracing Models in Educational Data Mining: Historical Evolution, Categorization, and Empirical Evaluation

IEEE Access
This article analyses computational models of Knowledge Tracing (KT), which address the complex sequence-modelling task of predicting dynamic, unobservable latent user states from historical interaction logs.
Prince Das Adhikary, Jari Metsamuuronen, Mikko-Jussi Laakso, Jukka Heikkonen   +3 more
doaj   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

Molecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi, Karolina Krzesińska, Ludovica Beltrame, Pablo Sánchez‐Izquierdo Besora, Matteo Tiberti, Mef Nilbert, Anna Rohlin, Elena Papaleo   +7 more
wiley   +1 more source

Analytic Network Learning

CoRR, 2018
Some of the preliminary ideas of this work has been presented in the IEEE/ACIS 17th International Conference on Computer and Information Science: "Learning from the kernel and the range space" (ICIS 2018)
openaire   +2 more sources

Game learning analytics is not informagic! [PDF]

2018 IEEE Global Engineering Education Conference (EDUCON), 2018
Game learning analytics has a great potential to provide insight and improve the use of games in different educational situations. However, it is necessary to clearly establish what the learner’s requirements are and to set realistic expectations about the learning process and outcomes.
Perez-Colado, Ivan Jose, Alonso-Fernandez, Cristina, Freire, Manuel, Martinez-Ortiz, Ivan, Fernandez-Manjon, Baltasar   +4 more
openaire   +3 more sources

Setting learning analytics in context: overcoming the barriers to large-scale adoption [PDF]

, 2014
A core goal for most learning analytic projects is to move from small‐ scale research towards broader institutional implementation, but this introduces a new set of challenges because institutions are stable systems, resistant to change. To avoid failure
Tynan, Belinda, Alexander, S., Ferguson, R., Macfadyen, L, Macfadyen, Leah P., Alexander, Shirley, Dawson, S., Clow, D., Dawson, S, Essa, Alfred, Shirley Alexander, Clow, Doug, Doug Clow, Essa, A., Rebecca Ferguson, Clow, D, Macfadyen, L., Shane Dawson, Ferguson, Rebecca, Dawson, Shane, Macfadyen, Leah, Alfred Essa, Ferguson, R, Alexander, SA, Leah Macfadyen, Essa, A   +25 more
core   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source