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Front Cover: A Strain-engineered Helical Structure as a Self-adaptive Magnetic Microswimmer (ChemNanoMat 6/2021)

ChemNanoMat 2021年第6期7卷

作者： Xiaojie Shi Jinrun Liu Ye Kong Dr. Borui Xu Prof. Tianlong Li Prof. Alexander A. Solovev Prof. Yongfeng Mei Department of Materials Science & State Key Laboratory of ASIC and Systems Fudan University 220 Handan Road Shanghai 200433 P. R. China School of Mechatronics Engineering & State Key Laboratory of Robotics and System Harbin Institute of Technology 92 Xi Da Zhi Jie Haerbin 150001 P. R. China

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Chitosan, derivatives, and its nanoparticles: Preparation, physicochemical properties, biological activities, and biomedical applications - A comprehensive review

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International journal of biological macromolecules 2025年 313卷 142832页

作者： Mohamed T El-Saadony Ahmed M Saad Samar Sami Alkafaas Mthokozisi Dladla Soumya Ghosh Sara Samy Elkafas Wael Hafez Salma Mohamed Ezzat Sohila A Khedr Aya Misbah Hussien Mohamed A Fahmy Ibrahim Eid Elesawi Heba M Salem Dina Mostafa Mohammed Taia A Abd El-Mageed Ahmed Ezzat Ahmed Walid F A Mosa Marwan K El-Tarabily Synan F AbuQamar Khaled A El-Tarabily Department of Agricultural Microbiology Faculty of Agriculture Zagazig University Zagazig 44511 Egypt. Electronic address: m.talaatelsadony@***. Biochemistry Department Faculty of Agriculture Zagazig University Zagazig 44511 Egypt. Molecular Cell Biology Unit Division of Biochemistry Department of Chemistry Faculty of Science Tanta University Tanta 31527 Egypt. Department of Genetics Faculty of Natural and Agricultural Sciences University of the Free State Bloemfontein 9301 South Africa. Production Engineering and Mechanical Design Department Faculty of Engineering Menofia University Menofia 32511 Egypt Faculty of Control System and Robotics Information Technologies Mechanics and Optics (ITMO) University Saint-Petersburg 191002 Russia. Medical Research Division Department of Internal Medicine The National Research Centre Cairo 11511 Egypt. Department of Chemistry Division of Biochemistry Faculty of Science Tanta University Tanta 44511 Egypt. Industrial Biotechnology Department Faculty of Science Tanta University Tanta 31733 Egypt. Biotechnology Department at Institute of Graduate Studies and Research Alexandria University Alexandria Egypt. Department of Agricultural Microbiology Faculty of Agriculture Zagazig University Zagazig 44511 Egypt. Department of Poultry Diseases Faculty of Veterinary Medicine Cairo University Giza 12211 Egypt Department of Diseases of Birds Rabbits Fish & Their Care & Wildlife School of Veterinary Medicine Badr University in Cairo (BUC) Badr City Cairo 11829 Egypt. Nutrition and Food Sciences Department National Research Centre Dokki Giza 12622 Egypt. Department of Soils and Water Faculty of Agriculture Fayoum University Fayoum 63514 Egypt. Department of Biology College of Science King Khalid University Abha 61413 Saudi Arabia. Plant Production Department (Horticulture-Pomology) Faculty of Agriculture Saba Basha Alexandria University Alexandria 21531 Egypt. Faculty of Medicine University of Debrecen Debrecen 4032

Chitosan, derived from the deacetylation of chitin, is the second most widely used natural polymer, valued for its nontoxic, biocompatible, and biodegradable properties. These attributes have driven extensive research into diverse applications of chitosan and various derivatives. The key characteristics of chitosan muco-adhesion, permeability enhancement, drug release modulation, and antimicrobial activity are primarily due to its amino and hydroxyl groups. However, the limited solubility of raw chitosan in water and most organic solvents has posed challenges for broader application. Numerous chemically modified derivatives have been developed to address these inadequacies with improved physical and chemical properties. Among these derivatives, chitosan nanoparticles have emerged as versatile drug carriers with precise release kinetics and the capacity for targeted delivery, greatly enhancing drug efficacy and safety profiles for therapeutic applications. Due to these unique physicochemical properties, chitosan and chitosan nanoparticles are promising for improved drug delivery, vaccine administration, transplantation, gene therapy, and diagnostics. This review examines the physicochemical properties and bioactivities of chitosan and chitosan nanoparticles, emphasizing their broad-ranging biomedical applications.

关键词： Biomedical applications Chitosan Chitosan nanoparticles Drug delivery Physicochemical characteristics Therapeutic applications

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Corrigendum to "Do theta oscillations explain the somatosensory change detection mechanism?" Biol. Psychol. 143 (2019) April 103-112

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Biological psychology 2021年第0期159卷 107995页

作者： Zhilin Zhang Guoxin Guo Jian Zhang Chunlin Li Qiang Huang Ritsu Go Hidenao Fukuyama Shintaro Funahashi Tianyi Yan Jinglong Wu Intelligent Robotics Institute School of Mechatronical Engineering Beijing Institute of Technology Beijing China Department of Psychiatry Graduate School of Medicine Kyoto University Kyoto Japan. School of Life Science Beijing Institute of Technology Beijing China. Intelligent Robotics Institute School of Mechatronical Engineering Beijing Institute of Technology Beijing China. School of Biomedical Engineering Capital Medical University Beijing China. International Joint Research Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing China. Key Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing China. Research and Educational Unit of Leaders for Integrated Medical System Center for the Promotion of Interdisciplinary Education and Research Kyoto University Kyoto Japan. Advanced Research Institute for Multidisciplinary Science Beijing Institute of Technology Beijing China. School of Life Science Beijing Institute of Technology Beijing China. Electronic address: yantianyi@***.

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Corrigendum to ‘Design and experimental study of an origami-inspired constant-force mechanism’ [Mechanism and Machine Theory 179 (2023) 105117]

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Mechanism and Machine Theory 2023年 182卷

作者： Shiwei Liu Gaoliang Peng Zhixiong Li Weihua Li Kang Jin Hongzhao Lin State Key Laboratory of Robotics and System Harbin Institute of Technology No. 92 Xidazhi Street Harbin 150001 Heilongjiang Province PR China Yonsei Frontier Lab Yonsei University 50 Yonsei-ro Seodaemun-gu Seoul 03722 Republic of Korea Faculty of Mechanical Engineering Opole University of Technology Opole 45758 Poland School of Mechanical Materials Mechatronic and Biomedical Engineering University of Wollongong Wollongong NSW 2522 Australia

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Lightweight and conformal acousto-ultrasonic sensing network for multi-scale structural health monitoring: A review

FlexMat

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FlexMat 2024年

作者： Yehai Li Shifeng Guo Zhongqing Su Keqin Ding Xian Jun Loh Shenzhen Key Laboratory of Smart Sensing and Intelligent Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China University of Chinese Academy of Sciences Beijing China The Key Laboratory of Biomedical Imaging Science and System Chinese Academy of Sciences Shenzhen China Department of Mechanical Engineering The Hong Kong Polytechnic University Kowloon Hong Kong Technology Innovation Center of Structural Health Monitoring of State Market Regulation China Special Equipment Inspection & Research Institute Beijing China Institute of Materials Research and Engineering (IMRE) Agency for Science Technology and Research (A*STAR) Singapore Singapore

Structural health monitoring (SHM) has been increasingly investigated for decades. Different physical principles have been developed for damage identification, such as electronics, mechanics, magnetics, etc., with different coverage (i.e., global, large-area, and local monitoring) and sensitivity. Mechanical acousto-ultrasonic-based methods have formed a big family in SHM technologies. Multiple wave/resonance modes have been utilized for versatile SHM tasks. The permanently integrated sensing networks play a significant role in achieving a cost-effective and reliable SHM system, with major concerns including weight increase for large-scale deployment and conformity for complex geometry structures. In this review, typical acousto-ultrasonic sensors made of different material systems are discussed, along with advantages and limitations. Moreover, advanced network installation methods have been introduced, including surface-mounting with pre-integrated networks on substrates and in situ printing, and embedding with composite layup and metal additive manufacturing. Sensor versatility and usage in multi-scale SHM techniques are then highlighted. Different wave/resonance modes are transmitted and received with corresponding elements and network designs. In conclusion, this systematic review mainly covers a collection of acousto-ultrasonic sensors, two modalities of network installation, and their employment with various SHM methods, hopefully providing a useful guide to building lightweight and conformal networks with passive or active-passive sensors, and developing complete and reliable SHM strategies by integrating different damage identification methods on multiple scales.

关键词： acousto-ultrasonic conformal installation lightweight sensing networks structural health monitoring

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The design of 1553b relay circuit based on FPGA

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IOP Conference Series: Materials Science and engineering 2020年第1期740卷

作者： Zhonghua Han Chengcheng Huang Jiayu Peng Shuai Wang Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang 110168 China Department of Digital Factory Shenyang Institute of Automation the Chinese Academy of Sciences (CAS) Shenyang 110016 China Key Laboratory of Network Control System Chinese Academy of Sciences Shenyang 110016 Liaoning China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang 110016 Liaoning China

On the basis of increasing the transmission distance of the 1553B bus, in order to maintain the simplicity and stability of the bus and improve its anti-jamming ability, the 1553B signal relay circuit based on FPGA is designed in this paper. The signal transmission part is consists of the software and the hardware, and the chip of ZYNQ series is used in the FPGA. Firstly, the transmitted signal oscillation is transformed into a group of positive and negative differential signals, which are realized by transformer (pmdb25). Secondly, the signal is sent to the main control chip of ZYNQ series through signal acquisition chip and level conversion chip. Finally, the data is processed by software program and forwarded to the receiver. The specific experiments have been done on the 1553B signal transmission platform, which significantly show that the proposed scheme is reasonable and reliable.

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Corrigendum to “Simplifying cantilever sensors: Segmental analysis, a way to multiply your output” [Sens. Actuators B 177 (2013) 1142–1148]

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Sensors and Actuators B: Chemical 2018年 263卷 676-676页

作者： Jannis W. Ochsmann Alessandro Cavaliere Sebastian Lenz Roberto Raiteri Jochen S. Gutmann Rüdiger Berger Max Planck Institute for Polymer Research Ackermannweg 10 D-55128 Mainz Germany Institute of Physical Chemistry CENIDE University Duisburg-Essen Universitätsstr. 5 D-45117 Essen Germany University of Genova Department of Informatics Bioengineering Robotics and System Engineering via Opera pia 13 16145 Genova Italy Deutsches Textilforschungszentrum Nord-West e.V. Adlerstr. 1 D-47798 Krefeld Germany

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An overview of graphite utilization in magnetorheological materials

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AIP Conference Proceedings 2024年第1期3124卷

作者： Nur Alyaa Mohd Nasir Nurhazimah Nazmi Nur Azmah Nordin Saiful Amri Mazlan Mohd Azizi Abdul Rahman Engineering Materials and Structures (eMast) iKohza Malaysia-Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia Jalan Sultan Yahya Petra 54100 Kuala Lumpur Malaysia Pattern Recognition & Robotics Automation (PRA) ikohza Malaysia-Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia Advanced Vehicle System Research Group Malaysia-Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia Jalan Sultan Yahya Petra 54100 Kuala Lumpur Malaysia

Studies on smart materials called Magnetorheological (MR) materials has attracted interest from numerous researchers due to its properties that can be manipulated through applications of magnetic fields. Owing to its wide potential application in various field, improvement on its properties in terms of rheology, tribology, thermal stability as well as electrical conductivity need to be optimized for a material to be possibly applied in real applications. Graphite on other hand is a carbon-allotrope that has been utilized in MR materials which acts as a filler or additives and was reported to significantly improves the distinct properties in different types of MR materials. Therefore, this paper has summarized and discussed the effect of graphite’s addition on the properties of several types of MR materials especially on its electrical conductivity, thermal stability, tribological as well as rheological properties to provides an insight view of graphite as a future potential additives and filler in MR materials for upcoming research.

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Mechanics of soft-body rolling motion without external torque

arXiv

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arXiv 2024年

作者： Liang, Xudong Ding, Yimiao Yuan, Zihao Jiang, Junqi Xie, Zongling Fei, Peng Sun, Yixuan Gu, Guoying Zhong, Zheng Chen, Feifei Si, Guangwei Gong, Zhefeng School of Science Harbin Institute of Technology Shenzhen518055 China Department of Neurology The Fourth Hospital and School of Brain Science and Brain Medicine Zhejiang University School of Medicine Hangzhou310058 China Liangzhu Laboratory MOE Frontier Science Center for Brain Science and Brain-Machine Integration State Key Laboratory of Brain-Machine Intelligence Zhejiang University 1369 West Wenyi Road Hangzhou311121 China NHC and CAMS Key Laboratory of Medical Neurobiology Zhejiang University Hangzhou310058 China State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University Shanghai200240 China Robotics Institute School of Mechanical Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Brain and Cognitive Science Institute of Biophysics Chinese Academy of Sciences 15 Datun Road Beijing100101 China University of Chinese Academy of Sciences 19A Yuquan Road Beijing100049 China Huazhong University of Science and Technology Optical and Electronic Information Wuhan430074 China Zhejiang Lab. Hangzhou311121 China

The Drosophila larva, a soft-body animal, can bend its body and roll efficiently to escape danger. However, contrary to common belief, this rolling motion is not driven by the imbalance of gravity and ground reaction forces. Through functional imaging and ablation experiments, we demonstrate that the sequential actuation of axial muscles within an appropriate range of angles is critical for generating rolling. We model the interplay between muscle contraction, hydrostatic skeleton deformation, and body-environment interactions, and systematically explain how sequential muscle actuation generates the rolling motion. Additionally, we constructed a pneumatic soft robot to mimic the larval rolling strategy, successfully validating our model. This mechanics model of soft-body rolling motion not only advances the study of related neural circuits, but also holds potential for applications in soft robotics. © 2024, CC BY.

关键词： Pneumatics

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Comparative study on the machine learning-based techniques for magnetorheological elastomer dynamic properties prediction

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AIP Conference Proceedings 2024年第1期3124卷

作者： Kasma Diana Saharuddin Mohd Hatta Mohammed Ariff Irfan Bahiuddin Saiful Amri Mazlan Nurhazimah Nazmi Ubaidillah Ubaidillah Advanced Vehicle System (AVS) Research Group Malaysia Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia Department of Mechanical Engineering Vocational College Universitas Gadjah Mada Yogyakarta Indonesia Engineering Materials & Structures (eMast) ikohza Malaysia Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia Pattern Recognition and Robotics Automation iKohza Malaysia Japan International Institute of Technology (MJIIT) Universiti Teknologi Malaysia 54100 Kuala Lumpur Malaysia Mechanical Engineering Department Faculty of Engineering Universitas Sebelas Maret JI. Ir. Sutami 36A Kentingan Surakarta 57126 Indonesia

Magnetorheological elastomers (MRE) have gained popularity due to their ability to control viscoelastic properties by varying the strength of the magnetic field. Due to the obvious nonlinear and complex behavior of MRE, machine learning approaches were used to predict the MRE viscoelastic properties, which are storage and loss modulus. In comparison to the traditional viscoelastic model, which is complex in mathematical derivation, machine learning method easily identifies trends and patterns by mapping the input-output relationship. It can also handle nonlinear problems by training on data. Support vector regression (SVR), Gaussian process regression (GPR), Backpropagation neural network (BP-ANN), and Extreme learning machine (ELM) were introduced and compared to simulate the field-dependent viscoelastic behavior of MRE with frequency and magnetic field strength as model input. As a result, the ELM model produced the highest accuracy, with more than 98 percent accuracy on model generalization capability. Therefore, this demonstrates that machine learning can replace traditional modelling approaches and serve as a basis for material and device development.

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