Results 261 to 270 of about 582,180 (311)
A goal‐oriented MOF design strategy is proposed to realize the ultra‐sensitive and specific detection of sarin/DCP through the rotation restricted emission mechanism. The hydrogen bonding and hydrophobic interaction between the CTTB ligand and DCP efficiently lead to a dramatic change in molecular configuration, significantly enhancing the fluorescence
Cong Lyu+6 more
wiley +1 more source
Diabetic wound healing is blocked by persistent inflammation and oxidative stress. Bioactive substances like growth factors and Hsts promote repair but lack long‐term stability. Herein, a platelet membrane‐coated nanoparticle system (PNP) is proposed to achieve enhanced retention of aggregation‐induced emissive (AIE) molecular‐modified Hst1 (Hst1‐AIE ...
Xiaoxuan Lei+9 more
wiley +1 more source
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley +1 more source
Active Whisker‐Inspired Food Material Surface Property Measurement Using Deep‐Learned Mechanosensor
Herein, a new application is proposed for an active whisker sensor that mimics the movement of rat whiskers. The whiskers, which are deformed by contact with an object, provide information about surface properties. It is shown that active whisker sensors can be useful in the food industry, and data identification is performed using deep learning ...
Jieun Park+13 more
wiley +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker+2 more
wiley +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