Results 51 to 60 of about 526,945 (283)

Empowering English Language Learning: Unleashing the Potential of Cooperative Learning Model at SMKN 3 Takalar [PDF]

, 2023
The primary aim of adopting the cooperative learning approach in the context of English language learning is to investigate the potential improvement in students' English language competency within the X TKJ 3 class at SMKN 3 Takalar.
Andi Hudriati, Rahmat, Rahmat, Hudriati, Andi, Sulastri, Sulastri, Rahmat Rahmat, Sulastri Sulastri   +5 more
core   +1 more source

Around Inverse Reinforcement Learning and Score-based Classification

, 2013
Inverse reinforcement learning (IRL) aims at estimating an unknown reward function optimized by some expert agent from interactions between this expert and the system to be controlled.
Klein, Edouard, Piot, Bilal, Geist, Matthieu, Guermeur, Yann, Pietquin, Olivier   +4 more
core   +2 more sources

An optimized transfer learning approach integrating deep convolutional feature extractors for malaria parasite classification in erythrocyte microscopy

Frontiers in Medicine
BackgroundMalaria, caused by Plasmodium parasites transmitted through bites from infected female Anopheles mosquitoes, results in severe symptoms such as anemia and potential organ failure.
C. Kishor Kumar Reddy, P. R. Anisha, Ahlam Almushharaf, Radhika Talla, Jamel Baili, Yongwon Cho, Yunyoung Nam   +6 more
doaj   +1 more source

Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations

FEBS Letters, EarlyView.
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas, Brigitta Maruzs, Zsófia E. Kálmán, Tomas Klumpler, Gyula Batta, Bálint Péterfia, Zoltán Gáspári   +6 more
wiley   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification

, 2023
The study utilizes osteosarcoma hematoxylin and the Eosin-stained image dataset, which is unevenly dispersed, and it raises concerns about the potential impact on the overall performance and reliability of any analyses or models derived from the dataset.
Manal A. Othman, Mrinal Kanti Baowaly, Md. Abul Ala Walid, Md. Martuza Ahamad, Pintu Chandra Shill, Md Abdus Samad, Md. Rabiul Islam, Swarnali Mollick   +7 more
core   +1 more source

A deep learning-derived digital biomarker of dysglycemia and its association with genetic risk of type 2 diabetes

npj Metabolic Health and Disease
Type 2 diabetes is a global health burden driven by genetic and environmental factors. Continuous glucose monitoring (CGM) can effectively guide lifestyle interventions in non-diabetic.
Jian Shao, Ying pan, Jingnan Xue, Haonan Pan, Jing Wang, Shaoyun Li, Zedong Nie, Yuefei Li, Zijian Tian, Yu Zhao, Huyi Feng, Kaixin Zhou   +11 more
doaj   +1 more source

Self-directed learning for medical graduates: A boon or bane in disguise? A cross-sectional study in Chennai

Journal of Education and Health Promotion
BACKGROUND: Self-directed learning (SDL) is an essential aspect of adult education or andragogy, gaining significance in medical education with the introduction of competency-based medical education.
Ameenah A. H. Siraja, Sher A. Mohamed, Yuvaraj Krishnamoorthy, Ashwini Lonimath, C. Rajan Rushender   +4 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +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