Results 111 to 120 of about 451,111 (312)
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
Background Increasing numbers of patients with cardiovascular implantable electronic devices (CIEDs) and limited follow-up capacities highlight unmet challenges in clinical electrophysiology.
Ingo Staudacher +15 more
doaj +1 more source
Highly efficient RNA-synthesizing system that uses isolated human mitochondria: new initiation events and in vivo-like processing patterns [PDF]
A highly efficient RNA-synthesizing system with isolated HeLa cell mitochondria has been developed and characterized regarding its requirements and its products.
Attardi, Giuseppe, Gaines, George
core
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Genetically modified maize DP915635 was developed to confer tolerance to glufosinate herbicide and resistance to corn rootworm pests. These properties were achieved by introducing the ipd079Ea, mo‐pat and pmi expression cassettes.
EFSA Panel on Genetically Modified Organisms (GMO) +30 more
doaj +1 more source
Government policy and competitive advantages of foreign-financed firms in the Guangdong province of southern China [PDF]
This paper investigates the impact of various Chinese government policies on the competitive advantages of foreign-financed manufacturing firms in Guangdong province of southern China.
Mok, V, Yeung, Godfrey
core +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
In a previous scientific opinion on application EFSA‐GMO‐BE‐2016‐138, the EFSA Panel on Genetically Modified Organisms (GMO Panel) could not conclude on the comparative analysis and on the food and feed safety assessment of genetically modified (GM ...
EFSA Panel on Genetically Modified Organisms (GMO) +22 more
doaj +1 more source
Digital Actuation Control of Soft Robotic Origami With Self‐Folding Liquid Crystal Elastomer Hinges
Self‐folding soft‐rigid hybrid robotic origami is enabled by liquid crystal elastomer actuators with embedded Joule heating and closed‐loop digital control. Digitally addressable hinges provide reversible and programmable transitions between distinct folded states while maintaining actuation performance at high cycle counts (over 1500).
David C. Bershadsky +3 more
wiley +1 more source
Quasi‐Static to Supersonic Energy Absorption of Nanoarchitected Tubulanes and Schwarzites
Nanoarchitected energy‐absorptive Tubulanes exhibit record energy absorption under quasi‐static conditions and exceptional inelastic energy dissipation under 750 m s−1 ballistics impact, with high performance spanning strain rates of 12 orders of magnitude.
Peter Serles +16 more
wiley +1 more source

