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Asia-Pacific Conference on Intelligent Robot Systems (ACIRS)

作者： Yingwei Qiao Hongchang Sun Zhiqiang Liang Yongxiang Jiang Zirui Gao Wenjie Li Qile Bo Haibo Liu Institute of Robotics and Intelligent Equipment Tianjin University of Technology and Education Tianjin China Key Laboratory of Fundamental Science for Advanced Machining Beijing Institute of Technology Beijing China School of Mechanical Engineering Dalian University of Technology Dalian China

ISBN: (数字)9798350352573

ISBN: (纸本)9798350352580

Point clouds can lead to the problem of losing key geometric features during the simplification process. A point cloud simplification algorithm based on classification simplification strategy is proposed for this purpose. Firstly, the point cloud is simplified to achieve a balance between simplification and geometric features. Then, the improved region growing algorithm is used to accurately segment the point cloud and simplify the sampling of different degrees of voxels. The integrity of the key geometric features is ensured, and the simplified accuracy is evaluated by the RMSE. Finally, the measurement verification is carried out on the circular hole of the thin-walled part. The results show that the proposed method is superior to the traditional voxel down sampling, and can deal with complex multi-feature point cloud models. It can effectively solve the problem of missing feature points in the traditional simplification process and meet the measurement dimensional accuracy requirements of industrial digital manufacturing.

关键词： Point cloud compression Manufacturing industries Accuracy Current measurement Measurement uncertainty Production Size measurement

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TGCN-P: A TCN-GCN Network With Weighted Graph Constructed by Pearson Correlation Coefficient for Human Motion Tracking

TGCN-P: A TCN-GCN Network With Weighted Graph Constructed by...

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IEEE International Conference on Real-time Computing and robotics (RCAR)

作者： Xiaoyu Li Jingnan Wang Binhua Huang Chengliang Liu Yiwen Liu Yupo Zhang Zhengkun Yi Xinyu Wu Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen

Neural networks based on graph convolution are simple and effective network structures that have better performance in some fields compared to traditional convolutional networks. However, when graph convolution networks (GCN) are applied to other fields, how to transform data or features into graph edges is a challenge needed to be studied. In previous studies of non-Euclidean spatial data such as relationship studies, people achieve graph construction by indicating the connection or not of nodes with binary values. However, when graph network is applied to some multi-sensor data scenarios, especially human motion tracking tasks, binarization is obviously not the best solution for the weights of edges. In addition, relying on manual graph construction may ignore some cross-space sensor relationships, which makes the update information of nodes far away slower or unavailable. Therefore, we try to use Pearson correlation coefficient (PCC) as the estimation of node correlation, and construct a complete graph to enhance the connectivity of nodes, which achieve faster signal transmission at remote nodes. After combining it with the temporal convolutional network (TCN), we propose a new network structure TGCN-P. Experimentally, this approach is more effective compared to other baseline models.

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Highly crystalline core dominated the catalytic performance of carbon dot for cyclohexane to adipic acid reaction

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Nano Research 2022年第8期15卷 7662-7669页

作者： Xiao Wang Wenyi Bian Tianyang Zhang Yajie Zhao Mingwang Shao Haiping Lin Yang Liu Hui Huang Zhenhui Kang Institute of Functional Nano&Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials&DevicesSoochow UniversitySuzhou 215123China Macao Institute of Materials Science and Engineering(MIMSE) MUST-SUDA Joint Research Center for Advanced Functional MaterialsMacao University of Science and TechnologyTaipa 999078MacaoChina School of Physics and Information Technology Shaanxi Normal UniversityXi’an 710062China

Carbon dots(CDs)have uniquely structural,physicochemical and photochemical properties,suggesting a promising platform for catalysis *** in-depth understanding of the structure-activity relationship in the CDs-based catalyst system needs to know the effect of the crystalline core on their catalytic *** efficient catalytic oxidation of cyclohexane is an urgent challenge in current chemical industry,in which,adipic acid(AA)plays an important role in industry for synthesis of nylon6 and ***,we fabricated the pristine CDs by electrochemical etching graphite rod method and derived CDs with high crystalline core(CD-600,CD-800,and CD-1100)through a thermal treatment method in tube ***,these CDs performed an outstanding catalytic performance for one-step synthesis of AA from *** the help of machine learning(ML),the deep correlations between features(structures of CDs,catalytic conditions)and catalytic performances were investigated by XGBoost(XGB)*** under the optimization and prediction of XGB,it was found that high crystalline core preceded the other features and CD-1100 could get the best conversion of 30.696%and selectivity to AA of 92.52%at reaction conditions of 130℃,1.5 MPa,and 10 *** work pioneered the application of ML in industrial issues and demonstrated a comprehensive understanding on CDs as catalyst to realize one-step synthesis of AA.

关键词： adipic acid carbon dots machine learning catalytic performances crystalline core

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N-heterocyclic carbene-catalyzed atroposelective synthesis of axially chiral 5-aryl 2-pyrones from enals

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Science China Chemistry 2022年第10期65卷 1953-1961页

作者： Guanjie Wang Juhui Huang Linxue Zhang Jinna Han Xiaoxiang Zhang Jie Huang Zhenqian Fu Wei Huang Key Laboratory of Flexible Electronics&Institute of Advanced Materials Institute of Advanced SynthesisSchool of Chemistry and Molecular EngineeringNanjing Tech UniversityNanjing 211816China Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources College of Chemical EngineeringNanjing Forestry UniversityNanjing 210037China Ningbo Institute Chongqing Technology innovation CenterFrontiers Science Center for Flexible Electronics(FSCFE)Northwestern Polytechnical UniversityXi’an 710072China

Axially chiral molecules have been widely used in inorganic,material and medicinal *** with well-established N-heterocyclic carbene(NHC)-catalyzed asymmetric construction of centrally chiral molecules,NHC-catalyzed atroposelective synthesis of axially chiral molecules remains largely ***,alkynyl acyl azolium intermediates were commonly used in constructing a heteroaryl ring to furnish axially enantioenriched *** inherent character of the intermediates often led to react with sterically hindered substrates ***,we have successfully disclosed the atroposelective synthesis of axially chiral heteroaryl-aryls from sterically hindered enols through the use of chiral NHCs as catalysts for highly enantioselective Coates-Claisen rearrangements via catalytically generatedα,β-unsaturated acyl *** approach will enable the concise synthesis of valuable tetra-ortho-substituted 2-pyrones in one step with good yield and chirality control.

关键词： N-heterocyclic carbene organocatalysis atroposelective synthesis 2-pyrones enals

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Biomedical polymers: synthesis, properties, and applications

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Science China Chemistry 2022年第6期65卷 1010-1075页

作者： Wei-Hai Chen Qi-Wen Chen Qian Chen Chunyan Cui Shun Duan Yongyuan Kang Yang Liu Yun Liu Wali Muhammad Shiqun Shao Chengqiang Tang Jinqiang Wang Lei Wang Meng-Hua Xiong Lichen Yin Kuo Zhang Zhanzhan Zhang Xu Zhen Jun Feng Changyou Gao Zhen Gu Chaoliang He Jian Ji Xiqun Jiang Wenguang Liu Zhuang Liu Huisheng Peng Youqing Shen Linqi Shi Xuemei Sun Hao Wang Jun Wang Haihua Xiao Fu-Jian Xu Zhiyuan Zhong Xian-Zheng Zhang Xuesi Chen Key Laboratory of Biomedical Polymers of Ministry of Education&Department of Chemistry Wuhan UniversityWuhan430072China Institute of Functional Nano&Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials&DevicesSoochow UniversitySuzhou215123China School of Materials Science and Engineering Tianjin Key Laboratory of Composite and Functional MaterialsTianjin UniversityTianjin300350China Key Laboratory of Biomedical Materials of Natural Macromolecules(Beijing University of Chemical Technology) Ministry of EducationBeijing Laboratory of Biomedical MaterialsCollege of Materials Science and EngineeringBeijing University of Chemical TechnologyBeijing100029China MOE Key Laboratory of Macromolecular Synthesis and Functionalization Department of Polymer Science and EngineeringZhejiang UniversityHangzhou310027China State Key Laboratory of Medicinal Chemical Biology Key Laboratory of Functional Polymer Materials of Ministry of EducationCollege of ChemistryNankai UniversityTianjin300071China Key Laboratory of Advanced Drug Delivery Systems of Zhejiang Province College of Pharmaceutical SciencesZhejiang UniversityHangzhou310058China Jinhua Institute of Zhejiang University Jinhua321299China Zhejiang Key Laboratory of Smart BioMaterials and Center for Bionanoengineering College of Chemical and Biological EngineeringZhejiang UniversityHangzhou310027China ZJU-Hangzhou Global Scientific and Technological Innovation Center Hangzhou311215China State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science and Laboratory of Advanced MaterialsFudan UniversityShanghai200438China CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety CAS Center for Excellence in Nano-scienceNational Center for Nanoscience and Technology(NCNST)Beijing100190China School of Biomedical Sciences and Engineering Guangzhou International CampusSouth China University of TechnologyGuangzhou510006China Institute of Functional Nano and So

Biomedical polymers have been extensively developed for promising applications in a lot of biomedical fields, such as therapeutic medicine delivery, disease detection and diagnosis, biosensing, regenerative medicine, and disease treatment. In this review, we summarize the most recent advances in the synthesis and application of biomedical polymers, and discuss the comprehensive understanding of their property-function relationship for corresponding biomedical applications. In particular, a few burgeoning bioactive polymers, such as peptide/biomembrane/microorganism/cell-based biomedical polymers, are also introduced and highlighted as the emerging biomaterials for cancer precision therapy. Furthermore, the foreseeable challenges and outlook of the development of more efficient, healthier and safer biomedical polymers are discussed. We wish this systemic and comprehensive review on highlighting frontier progress of biomedical polymers could inspire and promote new breakthrough in fundamental research and clinical translation.

关键词： biomedical polymer nanomedicine cancer therapy drug delivery bioimaging and biosensing tissue engineering regenerative medicine cytotoxicity biocompatibility

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Artificial intelligence is transforming the study of proteins:Structures and beyond

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hLife 2025年第4期3卷 162-163页

作者： Haiyan Liu Quan Chen Yufeng Liu MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics School of Life SciencesDivision of Life Sciences and MedicineUniversity of Science and Technology of ChinaAnhuiChina Biomedical Sciences and Health Laboratory of Anhui Province Anhui Basic Discipline Research Center of Artificial Intelligence Biotechnology and Synthetic BiologyUniversity of Science and Technology of ChinaAnhuiChina School of Biomedical Engineering Suzhou Institute for Advanced ResearchUniversity of Science and Technology of ChinaJiangsuChina Department of Rheumatology and Immunology The First Affiliated Hospital of USTCDivision of Life Sciences and MedicineHefei National Research Center for Physical Sciences at the MicroscaleCenter for Advanced Interdisciplinary Science and Biomedicine of IHMUniversity of Science and Technology of ChinaAnhuiChina

Recently,the Royal Swedish Academy of Sciences announced that one-half of the 2024 Nobel Prize in Chemistry was awarded to David Baker for computational protein design,and the other half was awarded jointly to Demis Hassabis and John Jumper for protein structure *** are the molecule tools of *** carry out their functions,many proteins need to fold into particular three-dimensional(3D)structures,which are programmed by the amino acid sequences of the proteins[1].The goal of protein structure prediction is to predict the 3D structures from given amino acid ***,protein design aims to identify amino acid sequences that achieve desired structural or functional goals.

关键词： amino acid sequences proteindesign computationalproteindesign aminoacids computational protein designand artificialintelligence proteinstructureprediction protein structure predictionproteins

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High-Performance Green Quasi-2D Perovskite Light-Emitting Diodes via Passivated Defects

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advanced Optical Materials 2024年第13期12卷

作者： Yang, Wei Ban, Xin-Xin He, Xiao-Li Huang, Xin-Mei Wang, Xiao-Yu Zhang, Yong Gao, Chun-Hong School of Physics and Materials Science Guangzhou University Guangzhou510006 China School of Physical Science and Technology MOE key laboratory on Luminescence and Real-Time Analysis Southwest University Chongqing400715 China School of Environmental and Chemical Engineering Jiangsu Key Laboratory of Function Control Technology for Advanced Materials Jiangsu Ocean University Jiangsu Lianyungang222005 China

In next generation semiconductors, metal halide perovskite materials would replace traditional light-emitting materials since their exceptional photoelectronic characteristics. The future development of perovskite light-emitting diodes have generated challenges such as abundant surface or interfacial defects and exciton quenching. To overcome these challenges, the light-emitting layer is modified utilizing benzimidazole/phosphine oxide hybrid 1,3,5-tris(1-(4-(diphenylphenylphosphoryl)phenyl)-1H-benzo[d]imidazol-2-yl)benzene (TPOB) and 1,3,5-tris(diphenylphosphoryl)benzene (TPO) with high triple energy state. It is demonstrated by X-ray photoelectron spectroscopy results that the oxygen atoms in the P = O functional group of TPOB and TPO provided lone electron pairs coordinate to the unsaturated Pb2+ in turn led to a decrease in the electron cloud density of Pb2+ and Br-, which can suppress defects. Additionally, this technique improved the morphology of film, reduced surface roughness, and facilitated carrier transport, all of which are crucial for achieving high-emission efficiency. As a result, the optimal devices has EQEs of 16.20 (TPOB) and 20.48% (TPO), respectively. Furthermore, the devices demonstrated excellent reproducibility. Excitingly, the champion EQE value for the optimal device is 22.64%. Simultaneously, it can increase the stability of the devices and the lifetimes are increased from 1231 s (Pristine) to 5421 (TPOB) and 5631 s (TPO). © 2024 Wiley-VCH GmbH.

关键词： Metal halides

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Enhanced hole extraction through in situ mixed self-assembled molecules for efficient inverted perovskite solar cells

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Journal of Energy Chemistry 2025年 109卷 177-185页

作者： Xiang He Qi Wang Shantao Zhang Yajuan Li Xuefei Weng Irfan Ismail Chang-Qi Ma Shangfeng Yang Yi Cui Key Laboratory of Precision and Intelligent Chemistry Collaborative Innovation Center of Chemistry for Energy Materials (iChEM) Department of Materials Science and Engineering University of Science and Technology of China Hefei Anhui 230026 China i-lab Vacuum Interconnected Nanotech Workstation Suzhou Institute of Nano-Tech and NanoBionics Chinese Academy of Sciences Suzhou Jiangsu 215123 China Key Laboratory of Intelligent Optoelectronic Devices and Chips of Jiangsu Higher Education Institutions Advanced Technology Research Institute of Taihu Photon Center School of Physical Science and Technology Suzhou University of Science and Technology Suzhou Jiangsu 215009 China

Self-assembled monolayers (SAMs), owing to their amphiphilic nature, tend to aggregate, which impedes the formation of a dense and uniform SAM on the substrate. Additionally, the weak adsorption ability of SAMs on the indium tin oxide (ITO) surface and the desorption of hydroxyl (OH) from the ITO surface induced by polar solvents can lead to the formation of vacancies. Herein, a dimethylacridine-based SAM is incorporated into the perovskite precursor solution. This SAM can be extruded from the precursor solution and enriched on the bottom surface of the perovskite, filling the vacancies and in situ forming a mixed SAM with MeO-2PACz as a hole-selective layer (HSL). The in situ formed mixed SAM optimizes the energy level alignment between the HSL and the perovskite, facilitating hole extraction and alleviating the residual strain of the perovskite film. Consequently, the perovskite solar cells (PSCs), based on the mixed SAM, achieve a power conversion efficiency (PCE) of 25.69% and exhibit excellent operational stability. When this approach is applied to 1.78 eV bandgap PSC devices, it yields a PCE of 20.08%. This work presents a unique strategy for fabricating both high-quality perovskite films and superior buried interfaces, which is also applicable to wide-bandgap PSCs.

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Variable admittance compliance control of upper limb training and rehabilitation robot based on genetic algorithm optimization 25

Variable admittance compliance control of upper limb trainin...

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Proceedings of the 2025 International Conference on Health Big Data

作者： Changjian Zhu Youwei Zhang Jialu Zhou Zenghai Shan School of Mechanical Engineering Nanjing Institute of Technology Nanjing Jiangsu China Graduate Workstation of Nanjing Kangni Mechanical & Electrical Co. Ltd Nanjing Jiangsu China State Key Laboratory of Intelligent Manufacturing of Advanced Construction Machinery Xuzhou Jiangsu China

ISBN: (纸本)9798400713446

The insufficient motion compliance of rope-driven rehabilitation robots during rehabilitation training, combined with the inability of widely used admittance control techniques in robotics to adapt to real-time compliance adjustments for rope-driven rehabilitation robots, presents a challenge. Moreover, traditional variable admittance control exhibits poor adaptability when faced with the individual differences of different patients, making it difficult to dynamically adjust control parameters based on the patient's real-time status and needs, leading to suboptimal rehabilitation outcomes. Therefore, this article takes the independently developed rope traction upper limb rehabilitation robot as the research object, and adopts a combination of genetic algorithm (GA), fuzzy controller, and admittance control to improve training effectiveness and safety. A new rehabilitation training equipment variable admittance control strategy is proposed to meet both clinical rehabilitation and daily training needs. This strategy utilizes genetic algorithm to optimize the parameters of the fuzzy controller, so that the output of the fuzzy controller can meet the real-time adjustment of admittance characteristics according to the patient's motion state, achieving precise control of force and motion, as well as autonomous adjustment of the flexibility of the rehabilitation robot. Simulation and experimental results show that the fuzzy control variable admittance model optimized based on genetic algorithm improves the accuracy by about 3.178% compared with the traditional admittance model, and at the same time, the system can still maintain good stability under load changes. During the patient's training process, the variable admittance control model optimized by the genetic algorithm demonstrated significant performance improvements in the upper limb rehabilitation robot system. This model enables the system to reach a stable state in a shorter time while maintaining smooth and accur

关键词： Admittance control

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Super Stable Selenium Nickel-Iron Electrocatalyst for Oxygen Evolution Reaction in Natural Seawater

SSRN

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SSRN 2024年

作者： Wang, Jue Li, Zhi Feng, Libei Lu, Dachun Fang, LiWei Zhang, Qinfang Hedman, Daniel Tong, Shengfu Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province School of Materials Science and Engineering Yancheng Institute of Technology Jiangsu Yancheng224051 China Ulsan44919 Korea Republic of Department of Sustainable Energy Materials and Sciences Jinhua Advanced Research Institute Zhejiang Jinhua321013 China

Efficient and stable catalysts for oxygen evolution reaction (OER) in seawater presents a major challenge for hydrogen production through water electrolysis. In this work, we present an ultra-stable NiFe foam catalyst with a Se-doped Ni/Fe oxide surface prepared through a combination of chemical vapor deposition and electrochemical exfoliation. This method effectively modifies the surface of the commercial NiFe foam to a rough and stable Se-doped Ni/Fe oxide surface, displaying exceptional OER performance in both freshwater and seawater with more than 54 days stability. Experimental characterization and density functional theory calculations reveal that high concentration of NiSe on the surface, with subsurface layers consisting of Ni alloyed with a moderate concentration of Fe, optimizes the adsorption free energy of oxygen-containing intermediates. Our results demonstrate a surface engineering approach to activate NiFe foam as a robust OER catalyst for seawater electrolysis, which is beneficial for the hydrogen economy and for the environment. © 2024, The Authors. All rights reserved.

关键词： Chemical vapor deposition

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