Results 31 to 40 of about 8,184 (256)
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source
Pre-service teachers' experience with Khan Academy in introductory physics [PDF]
As a novel approach to the longstanding issue of how to help all students effectively learn and utilize math in physics, we integrated the free online mathematics learning system Khan Academy (KA) into introductory physics for pre-service teachers.
Gray, James +3 more
core +1 more source
Protocol for quantifying miRNA trafficking across the endosomal membrane
An in vitro protocol measures miRNA uptake into endosomes isolated from mammalian cell extracts, which are free of subcellular contaminants. Performed at 37 °C in the presence of ATP, it ensures the import of single‐stranded miRNA into the endosomal lumen.
Syamantak Ghosh +2 more
wiley +1 more source
Quantization as a guide to ontic structure [PDF]
A framework is presented for the provision of a structural realist ontology as dictated by the implications of simultaneously accepting both inter-formulation and classical-quantum species of ‘metaphysical’ underdetermination.
Thebault, Karim P.Y.
core
Using math in physics -- 1. Dimensional analysis [PDF]
Making meaning with math in physics requires blending physical conceptual knowledge with mathematical symbology. Students in introductory physics classes often struggle with this, but it is an essential component of learning how to think with math ...
Redish, Edward F.
core +2 more sources
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
Mrs. Perkins's electric quilt: and other intriguing stories of mathematical physics [PDF]
What does quilting have to do with electric circuit theory? The answer is just one of the fascinating ways that best-selling popular math writer Paul Nahin illustrates the deep interplay of math and physics in the world around us in his latest book of ...
Nahin, Paul J
core
An introductory path to quantum theory: using mathematics to understand the ideas of physics [PDF]
Since the 17th century, physical theories have been expressed in the language of mathematical equations. This introduction to quantum theory uses that language to enable the reader to comprehend the notoriously non-intuitive ideas of quantum physics. The
Sontz, Stephen Bruce
core +1 more source
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
Taking Particle Physics Seriously: a Critique of the Algebraic Approach to Quantum Field Theory [PDF]
I argue against the currently-prevalent view in philosophy of physics that algebraic quantum field theory (AQFT) is the correct framework for philosophy of quantum field theory and that "conventional" quantum field theory (CQFT), of the sort used in ...
Wallace, David +2 more
core +1 more source

