Inclusive Learner Model for Adaptive Recommendations in Virtual Education

2017 ◽  
Author(s):  
Carolina Mejia ◽  
Sergio Gomez ◽  
Laura Mancera ◽  
Sibylle Taveneau
Keyword(s):  
Virtual Education ◽  
Learner Model

Identify Compounds' Target Against Alzheimer's Disease Based on In-Silico Approach

2019 ◽  
Vol 16 (3) ◽  
pp. 193-208 ◽  
Author(s):  
Yan Hu ◽  
Guangya Zhou ◽  
Chi Zhang ◽  
Mengying Zhang ◽  
Qin Chen ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Small Molecule ◽  
Characteristic Curve ◽  
Machine Learning Algorithms ◽  
Learner Model ◽  
Mao B ◽  
Number Of Patients ◽  
Sar Model ◽  
Set Up

Background: Alzheimer's disease swept every corner of the globe and the number of patients worldwide has been rising. At present, there are as many as 30 million people with Alzheimer's disease in the world, and it is expected to exceed 80 million people by 2050. Consequently, the study of Alzheimer’s drugs has become one of the most popular medical topics. Methods: In this study, in order to build a predicting model for Alzheimer’s drugs and targets, the attribute discriminators CfsSubsetEval, ConsistencySubsetEval and FilteredSubsetEval are combined with search methods such as BestFirst, GeneticSearch and Greedystepwise to filter the molecular descriptors. Then the machine learning algorithms such as BayesNet, SVM, KNN and C4.5 are used to construct the 2D-Structure Activity Relationship(2D-SAR) model. Its modeling results are utilized for Receiver Operating Characteristic curve(ROC) analysis. Results: The prediction rates of correctness using Randomforest for AChE, BChE, MAO-B, BACE1, Tau protein and Non-inhibitor are 77.0%, 79.1%, 100.0%, 94.2%, 93.2% and 94.9%, respectively, which are overwhelming as compared to those of BayesNet, BP, SVM, KNN, AdaBoost and C4.5. Conclusion: In this paper, we conclude that Random Forest is the best learner model for the prediction of Alzheimer’s drugs and targets. Besides, we set up an online server to predict whether a small molecule is the inhibitor of Alzheimer's target at http://47.106.158.30:8080/AD/. Furthermore, it can distinguish the target protein of a small molecule.

Mobile Applications as Tools for Virtual Education in Indigenous Communities During the COVID-19 Pandemic in the Peruvian Amazon

2020 ◽  
Author(s):  
Isaac Ocampo Yahuarcani ◽  
Lelis Antony Saravia Llaja ◽  
Angela Milagros Nunez Satalaya ◽  
Evelin Alana Rojas Alva ◽  
Alejandro Reategui Pezo ◽  
...  
Keyword(s):  
Mobile Applications ◽  
Indigenous Communities ◽  
Virtual Education ◽  
Peruvian Amazon

scholarly journals A Learner Model Integrating Cognitive and Metacognitive And Its Application on Scratch Programming Projects

2020 ◽  
Vol 53 (5) ◽  
pp. 644-649
Author(s):  
Sifeng Jing ◽  
Ying Tang ◽  
Xiwei Liu ◽  
Xiaoyan Gong
Keyword(s):  
Learner Model

B-PO05-129 VIRTUAL EDUCATION AND PEER REVIEW PLATFORM ENABLES BEST PRACTICES FOR CARDIAC RADIOABLATION

Heart Rhythm ◽  
2021 ◽  
Vol 18 (8) ◽  
pp. S424
Author(s):  
Phillip Cuculich ◽  
Geoffrey Hugo ◽  
Kaitlin Moore ◽  
Pamela Samson ◽  
Daniel H. Cooper ◽  
...  
Keyword(s):  
Best Practices ◽  
Peer Review ◽  
Virtual Education

O28 What's the Catch? A Virtual Education Program to Increase Seafood Intake of New Jersey Residents

2021 ◽  
Vol 53 (7) ◽  
pp. S13
Author(s):  
Christine Zellers ◽  
Lauren Errickson ◽  
Douglas Zemeckis ◽  
Joanne Kinsey ◽  
Rachel Tansey
Keyword(s):  
New Jersey ◽  
Education Program ◽  
Virtual Education
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