Robot‐Assisted Measurement of the Critical Micelle Concentration
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio+3 more
wiley +1 more source
The effect of downstream translocation on Atlantic salmon Salmo salar smolt outmigration success. [PDF]
Forrester R+10 more
europepmc +1 more source
Strain gauges are attached to biomimetic flapping wings to investigate how wing strain sensors detect wind directions. A convolutional neural network model for wind direction classification is developed through experiments. The results reveal that wind classification is possible with strain data of only 0.2 flapping cycles, and the use of biomimetic ...
Kenta Kubota, Hiroto Tanaka
wiley +1 more source
Assorted optical solitons of the (1+1)- and (2+1)-dimensional Chiral nonlinear Schrödinger equations using modified extended tanh-function technique. [PDF]
Luo J+6 more
europepmc +1 more source
Morphy: A Compliant and Morphologically Aware Flying Robot
This study presents Morphy, a 25.2 cm‐wide, 260 g aerial robot with flexible, sensorized joints that enable it to withstand high‐speed collisions and squeeze through narrow spaces. Powered by an adaptive control scheme exploiting real‐time morphology feedback, Morphy demonstrates resilience in trajectory tracking, collision, and impact recovery and ...
Paolo De Petris+2 more
wiley +1 more source
The Chover-type law of the iterated logarithm for certain power series
Pingyan Chen, Pingyan Chen
openalex +2 more sources
Deep neural networks and fractional grey lag Goose optimization for music genre identification. [PDF]
Tian Y.
europepmc +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park+8 more
wiley +1 more source
A nonclassical Chung-type law of the iterated logarithm for i.i.d. random variables
Tianxiao Pang+3 more
openalex +2 more sources
A robust strategy for overexpression of DNA polymerase from Thermus aquaticus using an IPTG-independent autoinduction system in a benchtop bioreactor. [PDF]
Laksmi FA+11 more
europepmc +1 more source