Results 41 to 50 of about 16,557 (196)
Multimodal Locomotion: Next Generation Aerial–Terrestrial Mobile Robotics
Aerial–terrestrial robots can achieve efficient energy consumption and robust environmental interaction by adding morphological features, adapting forms for locomotion transitions, and integrating multiple platforms. This next generation of mobile robots advances real‐world robotic deployment for operations with complex tasks and tackle environments ...
Jane Pauline Ramirez, Salua Hamaza
wiley +1 more source
Defects in Inorganic Mechanoluminescent Phosphors: Insights and Impacts
Mechanoluminescence is attracting more attention recently, and defect dominates mechanoluminescence performances. Investigating how defects work in the mechanoluminescence process is crucial for elucidating its complex luminescence mechanism. This review aims to emphasize the fundamental role of defects in mechanoluminescence, which offers an ...
Wenhao Li+3 more
wiley +1 more source
The Scholarship of Teaching and Learning (SoTL) is an important international movement in higher education. It is a continuously developing field that is traced back to Ernest Boyer's 1990 report, “Scholarship Reconsidered: Priorities of the ...
A. Webb
semanticscholar +1 more source
10 Years Development of Potassium‐Ion Batteries
Significant progress is made in PIBs over the past decade, but the improvements based on half‐cell testing, low mass loading, and low energy density are insufficient for practical applications. This review summarizes the challenges and strategies for PIBs, highlights the importance of further research focusing on full cells, and provides an analysis of
Mingnan Li+7 more
wiley +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source
Topology Optimization Enables Freeform Matrix Fourier Optics
A topology‐optimized freeform metasurface is designed and fabricated to realize matrix Fourier optics, enabling the diffraction of multiple polarization states into distinct far‐field orders. By combining forward design with gradient‐based inverse optimization, high polarization contrast of up to 98.7% is achieved.
Yu‐Tzu Liu+5 more
wiley +1 more source
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
De Novo Reconstruction of 3D Human Facial Images from DNA Sequence
This study introduces Difface, a novel deep‐learning model for reconstructing 3D facial images only from DNA data. By integrating transformer networks, spiral convolutions, and a diffusion model, Difface directly aligns high‐dimensional SNP data with 3D facial structures.
Mingqi Jiao+11 more
wiley +1 more source
A soft poly (3,4‐ethylenedioxythiophene):poly (styrenesulfonate)‐based electrode enables continuous, high‐quality recording of peripheral nerve activity. A neural network model integrating handcrafted and convolutional neural network‐based features decodes whisker movements with strong generalization, offering insights into peripheral nerve function ...
Liangpeng Chen+22 more
wiley +1 more source
CRISPR/Cas9, while transformative, faces challenges in specificity, precision, delivery, accessibility, flexibility, and safety. This review addresses these limitations by highlighting strategies to reduce off‐target effects, exploring HDR‐based and alternative editing approaches, and evaluating advanced delivery mechanisms.
Muna Alariqi+8 more
wiley +1 more source