Results 191 to 200 of about 43,061 (301)

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek   +3 more
wiley   +1 more source

A Systematic Approach to Analyze T Cell Migration: Application to Mouse Melanoma Tumors

open access: yesAdvanced Therapeutics, EarlyView.
The results show that a minimum of two migration speeds can be rigorously identified from the data with cells switching between a fast, persistent migratory state, and a slow, random migration state. These results will help in identifying genetic factors that influence rapid migration, among other applications, such as quality control for CAR‐T cell ...
Nikolaos Memmos   +4 more
wiley   +1 more source

Structural Characterization and AI‐Enhanced Modeling of a Broadly Neutralizing Camelid Antibody Against SARS‐CoV‐2 Variants

open access: yesAdvanced Therapeutics, EarlyView.
This study characterizes a camelid antibody (B10) with potent neutralizing activity against SARS‐CoV‐2 Wildtype and Omicron variants. Through binding assays, epitope mapping, pseudovirus neutralization, and AI‐driven modeling, the antibody is shown to target conserved RBD regions in a closed Spike conformation.
Katja Hanack   +13 more
wiley   +1 more source

Stochastic fractional order model for the computational analysis of computer virus. [PDF]

open access: yesSci Rep
Ayaz A   +8 more
europepmc   +1 more source

Excitation Energy Transfer between Porphyrin Dyes on a Clay Surface: A Study Employing Multifidelity Machine Learning

open access: yesAdvanced Theory and Simulations, EarlyView.
Inspired by natural light‐harvesting systems, this study computationally investigates a synthetic antenna by arranging cationic free‐base porphyrin molecules on an anionic clay surface. Using a multiscale quantum mechanics/molecular mechanics (QM/MM) approach combined with a multifidelity machine learning method, excitation energies are predicted ...
Dongyu Lyu   +7 more
wiley   +1 more source

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