Results 31 to 40 of about 87,113 (268)

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
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, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Protocol for quantifying miRNA trafficking across the endosomal membrane

FEBS Open Bio, EarlyView.
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, Kamalika Mukherjee, Suvendra N. Bhattacharyya   +2 more
wiley   +1 more source

Investigation of Fundamental and Principles of Mathematical Modeling of Well-Posed Physics and Engineering Problems

آموزش مهندسی ایران, 2008
One of the scientific methods of solving physics and engineering problem is to analyze natural phenomenon and then modeling them mathematically. In fact mathematical model for a physics or engineering problem is the statement of reality which governs the
Mahammad Jahanshahi
doaj   +1 more source

Digital Cognitive Testing in Mitochondrial Disease: Validity and Challenges for Clinical Trial Use

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Primary mitochondrial disease is a group of genetic disorders caused by pathogenic variants in nuclear or mitochondrial DNA, often resulting in progressive neurodegeneration and cognitive decline. Current management is primarily supportive, though recent research offers hope for disease‐modifying treatments in the future.
Oksana Pogoryelova, Jan Smeitink, Herma Renkema, Rosabeth White, Frankie Barton, Rachel Lyon, Jane Newman, Aye Moe, Yi Shiau Ng, Grainne Siobhan Gorman   +9 more
wiley   +1 more source

Some Schemata for Applications of the Integral Transforms of Mathematical Physics

Mathematics, 2019
In this survey article, some schemata for applications of the integral transforms of mathematical physics are presented. First, integral transforms of mathematical physics are defined by using the notions of the inverse transforms and generating ...
Yuri Luchko
doaj   +1 more source

“Computational Mathematics and Mathematical Physics”—Editorial I (2021–2023)

Axioms, 2023
Based on the papers published in the Special Issue of the scientific journal Axioms, here we present the Editorial Article “Computational Mathematics and Mathematical Physics”, the main topics of which include both fundamental and applied research in ...
Hovik A. Matevossian, Francesco dell’Isola   +1 more
doaj   +1 more source

Point and counterpoint between Mathematical Physics and Physical Mathematics

Journal of Physics: Conference Series, 2010
In recent years there has been a resurgence of interest in problems dating back for over half a century. In particular we refer to the questions of the consistency of quantisation and nonlinear canonical transformations and the quantisation of higher-order field theories.
P. G. L. LEACH, NUCCI, Maria Clara
openaire   +2 more sources

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

Arthritis Care &Research, Accepted Article.
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

Mathematical sense-making in quantum mechanics: An initial peek

Physical Review Physics Education Research, 2017
Mathematical sense-making—looking for coherence between the structure of the mathematical formalism and causal or functional relations in the world—is a core component of physics expertise.
Benjamin W. Dreyfus, Andrew Elby, Ayush Gupta, Erin Ronayne Sohr   +3 more
doaj   +1 more source

Students' Perceptions of Mathematical Physics E-Module on Multiple Integral Material

Journal of Education Technology, 2021
Mathematical physics is often considered a very difficult subject to study, one of the reasons that makes this happen is the lack of learning media that supports students. In addition, most of the existing media are in foreign languages, so in this case
Astalini Astalini, Darmaji Darmaji, Dwi Agus Kurniawan, Diki Chen   +3 more
doaj   +1 more source