Results 61 to 70 of about 16,394 (216)
Plant Genetic Engineering: Technological Pathways, Application Scenarios, and Future Directions
This review maps the fast‐evolving landscape of plant genetic engineering, linking enabling platforms with trait‐focused applications in architecture optimization, stress resilience, yield improvement, and quality enhancement. It highlights how genome editing, transgenic strategies, and emerging multi‐gene approaches reshape breeding pipelines, while ...
Peilin Wang +4 more
wiley +1 more source
Analytical Description of Hadron-Hadron Scattering via Principle of Minimum Distance in Space of States [PDF]
In this paper an analytical description of the hadron-hadron scattering is presented by using PMD-SQS-optimum principle in which the differential cross sections in the forward and backward c.m.
Ion, D. B., Ion, M. L.
core +2 more sources
Coherent states for a quantum particle on a circle
The coherent states for the quantum particle on the circle are introduced. The Bargmann representation within the actual treatment provides the representation of the algebra $[\hat J,U]=U$, where $U$ is unitary, which is a direct consequence of the ...
Ali M K +17 more
core +1 more source
Real‐Time Digital Micromotor Tracking‐Enabled Ultrasensitive Immunoassay
An AI‐facilitated real‐time digital micromotor tracking‐enabled immunoassay is developed, which leverages a self‐developed multi‐microparticle tracking system to monitor micromotor motion trajectories in a real‐time manner for digital protein analysis.
Jingjing Shi +6 more
wiley +1 more source
On a New Method for Computing Trace Anomalies
I describe a new method for computing trace anomalies in quantum field theories which makes use of path-integrals for particles moving in curved spaces.
Bastianelli, Fiorenzo
core +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
In this work, a second order smoothed particle hydrodynamics is derived for the study of relativistic heavy ion collisions. The hydrodynamical equation of motion is formulated in terms of the variational principle.
Chen, Weixian +2 more
core +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed +10 more
wiley +1 more source
Smoothing Algorithms and High-order Singularities in Gravitational Lensing
We propose a new smoothing method for obtaining surface densities from discrete particle positions from numerical simulations. This is an essential step for many applications in gravitational lensing.
Bartelmann M. +14 more
core +2 more sources

