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Results 71 to 80 of about 164 (162)

Integration of Soft‐Robotics and Deep Learning to Assess the Coordinated Biosonar Emission and Reception Dynamics in Hipposiderid Bats

Advanced Robotics Research, EarlyView.
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang +4 more
wiley +1 more source

, 2020
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3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source

Environmental Impacts and Cost Analysis of Perovskite Nanocrystals for Light‐Emitting Diode Applications

Advanced Sustainable Systems, EarlyView.
CsPbBr₃ colloidal nanocrystals synthesized via hot‐injection (HI) and microwave‐assisted (MW) methods exhibit excellent optoelectronic properties for LEDs. Although the MW route is more energy‐efficient and eco‐friendly in the lab, industrially, its environmental impacts are similar, but with lower costs.
Jaume‐Adrià Alberola‐Borràs +6 more
wiley +1 more source

Physics of Selective Targeting of Cancer Cells by Magnetoelectric Nanoparticles: Exploring the Role of Conductivity and Capacitance in Tumor‐Specific Attraction

Advanced Theory and Simulations, EarlyView.
Magnetoelectric nanoparticles exploit cancer cells' electrical vulnerabilities—altered membrane charge and higher capacitance—to achieve tumor‐specific targeting without bioreagents. MATLAB simulations reveal how electromagnetic forces create targeting specificity, while external magnetic fields enhance precision. This may enable wirelessly controlled,
Max Shotbolt +3 more
wiley +1 more source

Distributed Temporal Coding of Visual Memory Categories in Human Hippocampal Neurons Revealed by an Interpretable Decoding Model

Advanced Science, EarlyView.
This study examines how the human hippocampus encodes visual memory categories. By decoding spiking activity from CA3 and CA1 neurons using an interpretable model, it reveals that category‐specific representations emerge from distributed temporal coding.
Xiwei She +17 more
wiley +1 more source

, 2020
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Smart Health Evaluation for Lithium‐Ion Battery With Super‐Short‐Segment Charging

Advanced Science, EarlyView.
This study proposes a health feature extraction method integrating degradation mechanism‐guided scale‐invariant feature transform with machine learning for lithium‐ion batteries. Validated across 87 commercial cells with diverse chemistries and formats, it achieves 1.97% RMSE in capacity estimation using only 10% charging segments. The approach enables
Qinghua Li +6 more
wiley +1 more source

, 2020
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