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
A simulation-based empirical study on the role of aviation logistics in driving high-quality and sustainable regional economic development: Focusing on dynamic mechanisms and key factors. [PDF]
Liang L, Chen P.
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This article summarizes significant technological advancements in materials, photonic devices, and bio‐interfaced systems, which demonstrate successful applications for impacting human healthcare via improved therapies, advanced diagnostics, and on‐skin health monitoring.
Seunghyeb Ban+5 more
wiley +1 more source
Intelligent traffic congestion forecasting using BiLSTM and adaptive secretary bird optimizer for sustainable urban transportation. [PDF]
Krishnasamy L+6 more
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This review explores the integration of responsive materials and soft robotic actuators with implantable electronics to address key challenges in bioelectronic medicine. By enabling shape actuation, these technologies improve deployment, adaptability, and accuracy in minimally invasive procedures.
Chaoqun Dong, George G. Malliaras
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Design of low-carbon planning model for vehicle path based on adaptive multi-strategy ant colony optimization algorithm. [PDF]
Guo Q, Li R, Zheng C, Jeon G.
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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
Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction. [PDF]
Xu K+8 more
europepmc +1 more source
This review highlights recent progress in piezoelectric materials for regenerative medicine, emphasizing their ability to convert mechanical stimuli into bioelectric signals that promote tissue repair. Key discussions cover the intrinsic piezoelectric properties of biological tissues, co‐stimulation cellular mechanisms for tissue regeneration, and ...
Xinyu Wang+3 more
wiley +1 more source
IoT in urban development: insight into smart city applications, case studies, challenges, and future prospects. [PDF]
Salih S+6 more
europepmc +1 more source