The Cheerios effect is a common phenomenon in which small floating objects are either attracted or repelled by the sidewall due to capillary interaction. This attractive or repulsive behavior is highly dependent on the slope angles (angles of the interface on the wall or floating object with respect to a horizontal line) that can be mainly controlled by the wettability of the wall and floating object and the density of the object. In this paper, electrowetting on dielectric (EWOD) is implemented to the wall or floating object in order to actively control the wettability and thus capillary interaction. As such, the capillary force on buoyant and dense floating objects can be easily switched between repulsion and attraction by simply applying an electrical input. In addition, the theoretical prediction for the capillary force is verified experimentally by measuring the motion of floating particle and the critical contact angle on the wall at which the capillary force changes from attraction to repulsion. This successive verification is enabled by the merit of EWOD that allows for continuous change in the contact angle. Finally, the control method is extended to continuously move a floating object along a linear path and to continuously rotate a dumbbell-like floating object in centimeter scales using arrays of EWOD electrodes. A continuous linear motion is also accomplished in a smaller scale where the channel width (3 mm) is comparable to the capillary length.
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http://dx.doi.org/10.1021/acs.langmuir.5b01479 | DOI Listing |
Mar Pollut Bull
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ISPRA Italian National Institute for Environmental Protection and Research, Roma, Italy.
The EU Marine Strategy Framework Directive (MSFD, 2008/56/EC) requires Member States to establish monitoring programs for Descriptor 10-Marine Litter, to track progress towards achieving a marine Good Environmental Status (GES). Italy conducted systematic monitoring of Floating Marine Macro Litter (FMML) in three Marine Reporting Units: Western, Central Mediterranean, and Adriatic (2018-2022, 534 surveys, 2719 km across all seasons). This study assessed baseline values for FMML amount and composition, giving indication for tracking GES progress.
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Department of Automation, North China Electric Power University, Baoding 071003, China.
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View Article and Find Full Text PDFJ Vis
January 2025
Department of Psychology, New York University, New York, NY, USA.
Active object recognition, fundamental to tasks like reading and driving, relies on the ability to make time-sensitive decisions. People exhibit a flexible tradeoff between speed and accuracy, a crucial human skill. However, current computational models struggle to incorporate time.
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December 2024
School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.
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Tea leaf diseases are significant causes of reduced quality and yield in tea production. In the Yunnan region, where the climate is suitable for tea cultivation, tea leaf diseases are small, scattered, and vary in scale, making their detection challenging due to complex backgrounds and issues such as occlusion, overlap, and lighting variations. Existing object detection models often struggle to achieve high accuracy in detecting tea leaf diseases.
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