Review
Materials Science, Multidisciplinary
Qi Yang, Ao Chen, Chuan Li, Gangsheng Zou, Hongfei Li, Chunyi Zhi
Summary: This article introduces the chaotic state of wearable batteries from the perspective of battery chemistry and refines the specific requirements for wearable electronics. By balancing energy density and flexibility, wearable batteries are divided into different types to better power wearable electronics.
Article
Robotics
Peng Liu, Songsong Ma, Shen Liu, Yao Li, Bing Li
Summary: In this study, an insect-computer hybrid robot was developed by controlling the locomotion of an Oriental Migratory Locust. The robot achieved repetitive omnidirectional jumps and maintained body righting after landing. The research is significant for applications requiring locomotion on uneven terrains.
Article
Robotics
Lyes Mellal, David Folio, Karim Belharet, Antoine Ferreira
Summary: The letter discusses the modeling and characterization of deformable soft magnetic microrobots under various magnetic field conditions, showing their great potential for targeted drug delivery.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yudi Sang, Dan Ruan
Summary: A registration network is proposed in this study to address the heterogeneous scale problem efficiently and self-adaptively by introducing DIMs and SAMs. The method provides an alternative to inefficient multiresolution registration setups.
Article
Computer Science, Artificial Intelligence
Feng Chen, Fei Wu, Jing Xu, Guangwei Gao, Qi Ge, Xiao-Yuan Jing
Summary: Deformable Convolutional Networks (DCNs) are proposed to solve the limited geometric transformation in CNNs, with reformulation of convolution and pooling modules to enhance focus ability, and empirical study on various arrangements leading to significant findings. Achieving state-of-the-art performance on semantic segmentation and object detection benchmarks.
Article
Robotics
Michael F. Reynolds, Alejandro J. Cortese, Qingkun Liu, Zhangqi Zheng, Wei Wang, Samantha L. Norris, Sunwoo Lee, Marc Z. Miskin, Alyosha C. Molnar, Itai Cohen, Paul L. McEuen
Summary: This study develops an integration process and builds microscopic robots controlled by complementary metal oxide semiconductor electronics. These robots, sized from 100 to 250 micrometers, are powered by light and can respond to optical commands. This work lays the foundation for the development of future autonomous microscopic robots.
Article
Materials Science, Multidisciplinary
Jaehyun Kim, Doowon Park, Sungmin Moon, Chaeyong Park, Kaliannan Thiyagarajan, Seungmoon Choi, Heeseon Hwang, Unyong Jeong
Summary: This research developed a simple piezoresistive sensor that can be wrapped around a finger, providing pressure distribution and spatial deformation of the substrate, achieving omnidirectional tactility. The sensor can be used for blind contact recognition of objects piled up in a box.
ADVANCED MATERIALS TECHNOLOGIES
(2022)
Article
Computer Science, Artificial Intelligence
Zhiyuan Zhao, Xuelong Li
Summary: Crowd counting, an essential task in crowd analysis with great significance in public safety, has gained increasing attention recently. Existing methods for crowd counting using convolutional neural networks and density maps fail to accurately represent scale changes caused by perspective effects. To overcome this challenge, we propose a scale-sensitive crowd density map estimation framework, which incorporates adaptive density maps, deformable density map decoders, and auxiliary branches. Experimental results demonstrate the effectiveness of the proposed framework, and visualization shows that deformable convolutions capture the scale variation of targets.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2023)
Article
Robotics
Xiong Yang, Rong Tan, Haojian Lu, Yajing Shen
Summary: The starfish-inspired milli soft robot developed in this study shows excellent locomotive performance and environmental adaptability due to the introduction of starfish micro tube feet structures, indicating its potential application in harsh environments.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Chemistry, Physical
Zhi-Gang Yu
Summary: Exciton transport plays a central role in optoelectronic and photonic devices. Tightly bound excitons in quasi-two-dimensional hybrid organic-inorganic perovskites (HOIPs) can rapidly diffuse within 2D layers with a non-monotonic temperature dependence. Surprisingly, interlayer exciton diffusion is also effective despite the large interlayer distance.
JOURNAL OF CHEMICAL PHYSICS
(2022)
Article
Chemistry, Multidisciplinary
Chen Xin, Dongdong Jin, Yanlei Hu, Liang Yang, Rui Li, Li Wang, Zhongguo Ren, Dawei Wang, Shengyun Ji, Kai Hu, Deng Pan, Hao Wu, Wulin Zhu, Zuojun Shen, Yucai Wang, Jiawen Li, Li Zhang, Dong Wu, Jiaru Chu
Summary: The development of environmentally adaptive shape-morphing microrobots (SMMRs) with programmatically encoded expansion rates in pH-responsive hydrogel enables targeted microparticle delivery. Combining magnetic propulsion, a shape-morphing microcrab (SMMC) is capable of gripping, transporting, and releasing microparticles.
Article
Computer Science, Information Systems
Xin Deng, Hao Wang, Mai Xu, Li Li, Zulin Wang
Summary: This paper proposes a novel latitude-aware upscaling network, LAU-Net+, for omnidirectional image super-resolution (ODI-SR) task. The network fully considers the characteristics of ODIs and saves computational resources by learning different upscaling factors for different latitude bands. Experimental results demonstrate that LAU-Net+ achieves state-of-the-art results on various ODI datasets.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Article
Engineering, Industrial
Enrico Simonetto, Andrea Ghiotti, Stefania Bruschi, Stefano Filippi
Summary: This paper presents an innovative mechatronic system for adaptive control of the blank holder force in stamping processes, using ferrofluidic actuators and non-contact sensors for in-line material flow measurement. Laboratory-scale experiments are conducted to explore its feasibility and understand the potential benefits for more reliable process design.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2023)
Article
Nanoscience & Nanotechnology
Huiyong Li, Chen Shen, Shuai Sun, Chun Li, Hui Zhang, Zhong Zhang
Summary: Researchers have developed a needle-like array structure (NAS) by spraying and self-assembling a magnetic composite ink under an external magnetic field. The NAS exhibits extremely low hemispherical reflectance (<= 0.3%) over a wide spectral range of 300-2000 nm and stable omnidirectional absorption (incident angle insensitivity up to 70 degrees), making it one of the darkest surfaces ever reported. The NAS shows outstanding photothermal conversion, self-cleaning performance, flexibility, and thermal-aging resistance, offering a promising alternative for constructing ultrablack surfaces for practical applications.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Materials Science, Multidisciplinary
Jinsha Song, Jiliang Mu, Jinbiao Mu, Huicheng He, Zhigang Duan, Le Zhang, Xiaojun Qiao, Wenping Geng, Jian He, Xiujian Chou
Summary: Frequent meteorological disasters are increasingly threatening human life and property. Traditional meteorological sensors based on external power supply are limited in remote and unattended areas. Therefore, a self-powered multi-parameter meteorological sensor (SMPM-sensor) is proposed to monitor weather and collect natural energy.
ADVANCED MATERIALS TECHNOLOGIES
(2023)
Article
Acoustics
Chaonan Zhang, Shuzhang Liang, Yuqing Cao, Hongyan Sun, Lin Feng
Summary: This article presents a method of applying radial ultrasonic microvibration to reduce the frictional resistance of guidewires used in endovascular interventional surgery. The effectiveness of the proposed method was demonstrated in simulations, showing a significant reduction in drag. This method offers a new approach to improving the efficiency and safety of vascular interventional surgery.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2022)
Article
Physics, Applied
Guang Liu, Liwen Zhang, Yang Gan, Yan Wang, Dengke Chen, Yuguo Dai, Lin Feng, Pengfei Zhang, Huawei Chen
Summary: Liquid transport regulation has been a topic of great interest recently, and this study proposes a new strategy for liquid regulation using a flexible surface with gradient distributed and magnetized micro-cilia array. The results show significant enhancement in the anisotropy of liquid spreading by comparing different gradients and magnetic fields. The underlying mechanism of liquid regulation has been established and several potential applications are explored.
APPLIED PHYSICS LETTERS
(2022)
Article
Polymer Science
Minghao Xu, Shuzhang Liang, Wenqiang Zhang, Lin Feng, Kehan Chen, Xue Deng, Deyuan Zhang, Jun Cai
Summary: This study proposes a flexible and scalable fabrication strategy for the modular assembly of miniature color-changing pixel dots to create bionic color-changing skin. The bionic skin exhibits responsive color-changing, angle-independent color display, and good environmental adaptability.
JOURNAL OF POLYMER SCIENCE
(2023)
Article
Chemistry, Analytical
Yaxin Hou, Yuguo Dai, Wei Zhang, Minghui Wang, Hanxue Zhao, Lin Feng
Summary: This paper introduces soft-bodied robots driven by external fields, which have better environmental adaptability and extended applications. Nature provides inspiration for shape-morphing robot development, such as larvae and jellyfish. The authors present magnetically propelled hydrogel-based millirobots with volume changeability, which can be imaged in real-time using an ultrasound imaging system in a completely enclosed space.
Article
Engineering, Aerospace
Peng Zhang, Feifan Ouyang, Xianshuang Meng, Adil Farooq Lodhi, Mohib Ullah Kakar, Bo Li, Lin Feng
Summary: Irradiation and weightlessness are the main causes of neurological damage in astronauts. Serum lipidomic analysis can help to evaluate the long-term effects of radiation-induced brain damage. A systematic study can provide insights into the dose and time dependence of radiation damage and support the selection of targets for space radiation bio-protection.
Review
Chemistry, Multidisciplinary
Bo Chen, Hongyan Sun, Jiaying Zhang, Junjie Xu, Zeyu Song, Guangdong Zhan, Xue Bai, Lin Feng
Summary: Micro/nano-robots are powerful tools for biomedical applications and can be used for disease diagnosis, tumor imaging, drug delivery, and targeted therapy. Cell-based micro-robots have unique properties due to their different cell sources, and when combined with various actuation methods, particularly externally propelled methods, they have enormous potential in biomedicine. This review provides an overview of recent progress and applications of cell-based micro/nano-robots, including different actuation methods and cell templates, as well as the combination of these robots with precise control using external fields. Potential challenges, future prospects, and clinical translations are also discussed.
Article
Chemistry, Multidisciplinary
Luyao Wang, Chunyuan Gan, Hongyan Sun, Lin Feng
Summary: Micro-nano-robots have potential for targeted drug delivery, but few studies have allowed them to move against blood flow and penetrate endothelial cells. Inspired by the behavior of herring schools and leukocytes, magnetic nanoparticles can be assembled into vortex-like swarms under an electromagnetic field, enabling them to move upstream and penetrate intercellular gaps for targeted drug delivery. These miniature nanorobots can be reshaped and reconfigured to adapt to different circulatory environments, providing new solutions for biomedical applications.
Article
Engineering, Biomedical
Yiming Ji, Xue Bai, Hongyan Sun, Luyao Wang, Chunyuan Gan, Lina Jia, Junjie Xu, Wei Zhang, Liang Wang, Yingchen Xu, Yaxin Hou, Yinyan Wang, Hui Hui, Lin Feng
Summary: Ferrofluidic robots have been intensively studied, but their application for in vivo medicinal purposes remains challenging. This study successfully addresses the key problems of biocompatibility, controllability, and tumor-killing efficacy, and creates a ferrofluid-based millirobot for in vivo tumor-targeted therapy. The robot exhibits promising results in inhibiting tumor growth and destroying tumor tissue in vivo.
ADVANCED HEALTHCARE MATERIALS
(2023)
Article
Engineering, Biomedical
Xue Bai, Hongyan Sun, Lina Jia, Junjie Xu, Peng Zhang, Deyuan Zhang, Yu Gu, Bo Chen, Lin Feng
Summary: This study found that gold nanoparticles (AuNPs) can partially protect children's cartilage from inflammatory damage. In a model of LPS-induced cartilage damage, AuNPs inhibited chondrocyte apoptosis and extracellular matrix degradation, resulting in reduced release of inflammatory cytokines and degradation factors. This leads to a decrease in cartilage destruction.
MATERIALS TODAY BIO
(2023)
Article
Biotechnology & Applied Microbiology
Junjie Xu, Shijiao Ma, Haolan Zheng, Bo Pang, Shuli Li, Feng Li, Lin Feng, Jiesheng Tian
Summary: Biosynthesis of magnetic nanoparticles through genetic engineering of magnetotactic bacteria provides a promising approach for global sustainability issues. In this study, biotinylated BMPs were successfully constructed in MTB Magnetospirillum gryphiswaldense, showing improved performance and higher yield compared to previous engineered strains and BMPs. This research provides insights into biomanufacturing of multifunctional magnetic nanomaterials based on MTB.
BIOENGINEERING-BASEL
(2022)
Article
Engineering, Biomedical
Guangdong Zhan, Wentong Wang, Hongyan Sun, Yaxin Hou, Lin Feng
Summary: Cell segmentation and counting are crucial in the medical field, and convolution neural networks have shown promising results in this area. However, the traditional data-driven approach requires a large number of annotations and can be time-consuming and prone to human error. This paper proposes a novel method that eliminates the need for extensive manual annotations by generating cell image labels using traditional algorithms. The proposed method achieves comparable segmentation and count performance to models trained with a large amount of annotated mixed cell images.
CYBORG AND BIONIC SYSTEMS
(2022)
