Results 211 to 220 of about 154,764 (277)
Form flows function: Learner‐centered game Re‐design in a STEM classroom
Abstract Re‐designing games facilitates interest‐driven learning and immerses learners in systems thinking. However, there are limited studies exploring how the form and function of tabletop games influence learners' design decisions and learning experiences. To address this gap, we conducted a mixed‐methods study in a STEM classroom in western Canada.
Farzan Baradaran Rahimi +2 more
wiley +1 more source
Bending strength measurement of structures printed via fused deposition modeling with different infill patterns. [PDF]
Li X, Luo L, Wang L, Vusug B.
europepmc +1 more source
Gaussian Processes for Predictive QSAR Modeling of Chromatographic Processes
ABSTRACT Chromatography is a key unit operation in the biopharmaceutical manufacturing process used for protein purification and polishing. Design and optimization of these processes are resource‐intensive resulting from the complex combinatorial design space.
Harini Narayanan +7 more
wiley +1 more source
Parametric Design and Experiment on Compression Performance of Hierarchical Origami Honeycomb Structures. [PDF]
Lu X, Yang Y, Peng X.
europepmc +1 more source
This review provides an overview of the properties, composites and application of two‐dimensional (2D) nanomaterials for wearable electrochemical biosensors. Also, the challenges and future prospects of utilizing 2D nanomaterials in wearable electrochemical biosensor applications are discussed.
Kou Zhang +8 more
wiley +1 more source
Marine silicon for biomedical sustainability
Schematic illustrating marine silicon for biomedical engineering. Abstract Despite momentous divergence from oceanic origin, human beings and marine organisms exhibit elemental homology through silicon utilization. Notably, silicon serves as a critical constituent in multiple biomedical processes.
Yahui Han +3 more
wiley +1 more source
Coupling Model of Electrolytic Proportion and Overcutting Depth in the Construction of Electrolytic Grinding Honeycomb Sealing Faces. [PDF]
Sun P, Hu X, Xu C, Wang L, Wang J, Li H.
europepmc +1 more source
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su +11 more
wiley +1 more source
The Effect of Continuous Carbon Fiber Reinforcement on 3D-Printed Honeycomb and Re-Entrant Sandwich Panels Subjected to In-Plane Compression. [PDF]
Nenciu A, Apostol DA, Constantinescu DM.
europepmc +1 more source

