Results 181 to 190 of about 2,817,119 (330)
Deep Learning Image Processing Models in Dermatopathology. [PDF]
Mehta A +8 more
europepmc +1 more source
Video‐based cases disrupt deep critical thinking in problem‐based learning [PDF]
Robindra Basu Roy, Graham T. McMahon
openalex +1 more source
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai +8 more
wiley +1 more source
Deep learning-based approach for sperm morphology analysis. [PDF]
Liang B, Wang M.
europepmc +1 more source
Graphic Design Education: A Revised Assessment Approach to Encourage Deep Learning
Grant Ellmers, Marius Foley, Sue Bennett
openalex +2 more sources
Focusing on first year assessment: Surface or deep approaches to learning? [PDF]
Sharn Donnison, Sorrel Penn‐Edwards
openalex +1 more source
Synchrotron Radiation for Quantum Technology
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader +10 more
wiley +1 more source
Phylogenetic Methods Meet Deep Learning. [PDF]
Braichenko S, Borges R, Kosiol C.
europepmc +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer +10 more
wiley +1 more source
Atomic Size Misfit for Electrocatalytic Small Molecule Activation
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong +3 more
wiley +1 more source

