Results 61 to 70 of about 1,181,423 (274)
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Factors Influencing A Customer-Service Culture In A Higher Education Environment
SA Journal of Human Resource Management, 2004 The higher education environment is experiencing significant changes, and the focus is moving to competitiveness and customer care. The role of organisational culture and job satisfaction in the delivery of quality customer service was investigated in ...
Jacques Liebenberg, Neil Barnes
doaj +1 more source
EXAMINATION OF THE PREDICTION OF FLEXIBILITY FOR LEARNER SATISFACTION IN ONLINE COURSES
Turkish Online Journal of Distance Education, 2023 Universities consider student satisfaction in order to improve the online education they give to students and to question the fulfillment of their responsibilities. Student satisfaction may depend not only on the educational institution but also on individual characteristics.
openaire +3 more sources
The determinants of learner satisfaction with the online video presentation method
Internet Research, 2020 PurposeThe purpose of this paper is to examine the determinants of learners' satisfaction with a new blended learning method, namely online video presentations.Design/methodology/approachThe study tests the proposed model using responses from 353 students who were exposed to the new method.
Al Natour, Sameh, Woo, Carson
openaire +2 more sources
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Learner satisfaction with synchronous and asynchronous virtual learning systems during the COVID-19 pandemic in Tehran university of medical sciences: a comparative analysis. [PDF]
BMC Med Educ, 2023 Dargahi H +2 more
europepmc +2 more sources
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 +6 more
wiley +1 more source
CTU Journal of Innovation and Sustainable DevelopmentThis qualitative case study explores the factors contributing to learner satisfaction in English as a foreign language (EFL) continuing education programs in Viet Nam.
Xuan Mai Le +3 more
doaj +3 more sources
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
Advanced Engineering Materials, EarlyView.A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source