Delivery-mediated exosomal therapeutics in ischemia-reperfusion injury: advances, mechanisms, and future directions [0.03%]
缺血再灌注损伤递送介导的外泌体治疗：进展、机制及未来方向
Shengzhe Ding,Yu-Jin Kim,Kai-Yu Huang et al.
Shengzhe Ding et al.
Ischemia-reperfusion injury (IRI) poses significant challenges across various organ systems, including the heart, brain, and kidneys. Exosomes have shown great potentials and applications in mitigating IRI-induced cell and tissue damage thr...
Microfluidics for disease diagnostics based on surface-enhanced raman scattering detection [0.03%]
基于表面增强拉曼散射检测的疾病诊断微流体技术
Xiangdong Yu,Sohyun Park,Sungwoon Lee et al.
Xiangdong Yu et al.
This review reports diverse microfluidic systems utilizing surface-enhanced Raman scattering (SERS) detection for disease diagnosis. Integrating SERS detection technology, providing high-sensitivity detection, and microfluidic technology fo...
Microneedle-mediated nanomedicine to enhance therapeutic and diagnostic efficacy [0.03%]
用于增强治疗和诊断效率的微针介导纳米药物
Yuyang Zuo,Rujie Sun,Nuala Del Piccolo et al.
Yuyang Zuo et al.
Nanomedicine has been extensively explored for therapeutic and diagnostic applications in recent years, owing to its numerous advantages such as controlled release, targeted delivery, and efficient protection of encapsulated agents. Integra...
Controlling structure and interfacial interaction of monolayer TaSe2 on bilayer graphene [0.03%]
单层TaSe2在双层石墨烯上的结构调控及界面相互作用研究
Hyobeom Lee,Hayoon Im,Byoung Ki Choi et al.
Hyobeom Lee et al.
Tunability of interfacial effects between two-dimensional (2D) crystals is crucial not only for understanding the intrinsic properties of each system, but also for designing electronic devices based on ultra-thin heterostructures. A prerequ...
Highly sensitive plasmonic paper substrate fabricated via amphiphilic polymer self-assembly in microdroplet for detection of emerging pharmaceutical pollutants [0.03%]
基于微液滴中两亲性聚合物自组装的高灵敏等离子体纸基底用于检测新兴药物污染物
Mirkomil Sharipov,Sarvar A Kakhkhorov,Salah M Tawfik et al.
Mirkomil Sharipov et al.
We report an innovative and facile approach to fabricating an ultrasensitive plasmonic paper substrate for surface-enhanced Raman spectroscopy (SERS). The approach exploits the self-assembling capability of poly(styrene-b-2-vinyl pyridine) ...
Mussel-inspired resilient hydrogels with strong skin adhesion and high-sensitivity for wearable device [0.03%]
受牡蛎启发的具有强皮肤粘附性和高灵敏度的用于可穿戴设备的坚韧水凝胶
Stalin Kondaveeti,Geonjun Choi,Sarath Chandra Veerla et al.
Stalin Kondaveeti et al.
Stretchable and self-adhesive conductive hydrogels hold significant importance across a wide spectrum of applications, including human-machine interfaces, wearable devices, and soft robotics. However, integrating multiple properties, such a...
An elementary review on basic principles and developments of qubits for quantum computing [0.03%]
量子计算中量子位的基本原理和发展概述的初步回顾
Eunmi Chae,Joonhee Choi,Junki Kim
Eunmi Chae
An elementary review on principles of qubits and their prospects for quantum computing is provided. Due to its rapid development, quantum computing has attracted considerable attention as a core technology for the next generation and has de...
Technology for the formation of engineered microvascular network models and their biomedical applications [0.03%]
工程化微血管网络模型的构建技术及其生物医学应用
He Li,Yucheng Shang,Jinfeng Zeng et al.
He Li et al.
Tissue engineering and regenerative medicine have made great progress in recent decades, as the fields of bioengineering, materials science, and stem cell biology have converged, allowing tissue engineers to replicate the structure and func...
Electrochemical random-access memory: recent advances in materials, devices, and systems towards neuromorphic computing [0.03%]
电化学随机存取存储器：面向神经形态计算在材料、器件和系统方面的最新进展
Hyunjeong Kwak,Nayeon Kim,Seonuk Jeon et al.
Hyunjeong Kwak et al.
Artificial neural networks (ANNs), inspired by the human brain's network of neurons and synapses, enable computing machines and systems to execute cognitive tasks, thus embodying artificial intelligence (AI). Since the performance of ANNs g...
Materials descriptors of machine learning to boost development of lithium-ion batteries [0.03%]
机器学习的材料描述符可加速锂离子电池的发展
Zehua Wang,Li Wang,Hao Zhang et al.
Zehua Wang et al.
Traditional methods for developing new materials are no longer sufficient to meet the needs of the human energy transition. Machine learning (ML) artificial intelligence (AI) and advancements have caused materials scientists to realize that...