Results 141 to 150 of about 309,932 (262)
Improved whale optimization for time-optimal and collision-free trajectory planning in dual-arm robots. [PDF]
Du Y +5 more
europepmc +1 more source
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez +19 more
wiley +1 more source
Structure and Spin-Glass Magnetism of the Fe<sub>1.5</sub>Ni<sub>1.5</sub>Ga<sub>4</sub> Metallic Alloy. [PDF]
Buxi K +11 more
europepmc +1 more source
A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile monitoring. A machine‐learning model analyzes temperature data and correlates thermal changes with DNA concentration, enabling sensitive and reliable molecular diagnosis in ...
Nazente Atceken +4 more
wiley +1 more source
Common misconceptions in crystallography and crystal optics. [PDF]
Casas L.
europepmc +1 more source
This work presents a robot‐assisted Doppler optical coherence tomography system for autonomous, wide‐field intraoperative assessment of microvascular anastomoses. Machine‐vision–guided probe positioning and adaptive scan planning enable three‐dimensional structural and hemodynamic imaging over extended vessel segments.
Xiaochen Li +10 more
wiley +1 more source
This study explores the origins of life by linking prebiotic chemistry, the emergence of information‐carrying molecules such as RNA and proteins, and philosophical questions about consciousness. The study emphasizes the role of molecular evolution in the Central Dogma and provides insights into the chemical origins of biology and the basis of life's ...
Harald Schwalbe +5 more
wiley +2 more sources
Hierarchical polar-nonpolar phase architecture enabling excellent lead-free capacitive energy storage. [PDF]
Wu Q +9 more
europepmc +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Data-driven derivation of macroscopisc fundamental diagram from floating car trajectories. [PDF]
Lu X, Zhang J, He Q, Zheng S, Su J.
europepmc +1 more source

