Results 31 to 40 of about 19,913 (253)

Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis

Arthritis Care &Research, Accepted Article.
Background/Objective Rheumatoid arthritis (RA) is associated with an increased risk of frailty and osteoporosis, but the relationship between frailty and incident osteoporotic fractures in RA is underexplored. Methods Data were from the Veterans Affairs Rheumatoid Arthritis (VARA) Registry.
Katherine D. Wysham, Hannah F. Brubeck, Aaron Baraff, Punyasha Roul, Namrata Singh, James S. Andrews, Grant W. Cannon, Gary A. Kunkel, Ted R. Mikuls, Bryant R. England, Dolores M. Shoback, Patricia P. Katz, Jose M. Garcia, Ariela R. Orkaby, Joshua F. Baker   +14 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

ANALYSING THE ACADEMIC PERFORMANCE OF STUDENTS USING UNSUPERVISED DATA MINING

Studia Universitatis Babes-Bolyai: Series Informatica, 2019
Educational Data Mining is an attractive interdisciplinary domain in which the main goal is to apply data mining techniques in educational environments in order to offer better insights into the educational related tasks.
George CIUBOTARIU, Liana Maria CRIVEI
doaj   +1 more source

DATA MINING ALGORITHMS FOR PREDICTION OF STUDENT TEACHERS’ PERFORMANCE IN ICT: A SYSTEMATIC LITERATURE REVIEW

Інформаційні технології і засоби навчання, 2023
Poor ICT performance in teacher training colleges makes it more difficult for the majority of teachers to successfully use ICT resources in their teaching and learning.
Juma Habibu Shindo, Mohamedi Mohamedi Mjahidi, Mohamed Dewa Waziri   +2 more
doaj   +1 more source

A Model for Learners Segmentation and Educational Performance Improvement Using Data Mining Algorithms [PDF]

مطالعات مدیریت کسب و کار هوشمند, 2020
Educational performance measurement through the identification and analysis of data extracted from learners’ activities can effectively result in the improvement of educational performance.
Sina Raeesi Vanani, Iman Raeesi Vanani, Mohammad Taghi Taghavifard   +2 more
doaj   +1 more source

3D‐Printed Piezoionic/Bioelectronic Hydrogel for Electro‐Metabolic Regulation of Osteogenic Differentiation

Advanced Healthcare Materials, EarlyView.
A 3D‐printed piezoionic GPMx hydrogel enables stable electromechanical signal generation under mechanical loading, exhibiting long‐term durability and low fatigue. As a bioactive patch, it restores endogenous bioelectricity to stimulate osteogenesis via Ca2+ influx and mitochondrial activation, while simultaneously enabling label‐free alkaline ...
Sayan Deb Dutta, Myoung Joon Jeon, Youjin Seol, Ki‐Taek Lim   +3 more
wiley   +1 more source

IntelliDaM: A Machine Learning-Based Framework for Enhancing the Performance of Decision-Making Processes. A Case Study for Educational Data Mining

IEEE Access, 2022
Nowadays, both predictive and descriptive modelling play a key role in decision-making processes in almost every branch of activity. In this article we are introducing $IntelliDaM$ , a generic machine learning-based framework useful for improving the ...
Gabriela Czibula, George Ciubotariu, Mariana-Ioana Maier, Hannelore Lisei   +3 more
doaj   +1 more source

Causal Inference in Educational Data Mining

, 2022
The previous two years, we hosted causal inference workshops at the EDM international conferences with great success. Over 30 people attended each of the workshops, and both workshops featured stimulating talks on recently completed projects, works in progress, and open questions.
Adam Sales, Neil T. Heffernan
openaire   +2 more sources

Educational data mining in moodle data

International Journal of Informatics and Communication Technology (IJ-ICT), 2021
<p>The main purpose of this research paper is to analyze the moodle data and identify the most influencing features to develop the predictive model. The research applies a wrapper-based feature selection method called Boruta for the selection of best predicting features. Data were collected from eighty-one students who were enrolled in the course
Sushil Shrestha, Manish Pokharel
openaire   +2 more sources

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source