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Transmembrane transport of multicomponent liposome-nanoparticles into giant vesicles

Chinese Physics B 2022年第4期31卷 742-751页

作者： Hui-Fang Wang Chun-Rong Li Min-Na Sun Jun-Xing Pan Jin-Jun Zhang Department of Physics and Information Engineering Shanxi Normal UniversityTaiyuan 030000China Beijing Key Laboratory for Sensors Beijing Information Science&Technology UniversityBeijing 100192China Modern College of Humanities and Sciences of Shanxi Normal University Linfen 041004China

With the emergence and rapid development of nanotechnology,the nanoparticles hybridized with multicomponent lipids are more and more used in gene *** vectors interact with the cell membrane before entering into the ***,the nature of this interaction is important in investigating multicomponent liposome-nanoparticle(MLP)transport across the cell *** this paper the transport of MLPs across the membranes of giant vesicles(GVs)in solvents is studied by using the self-consistent field theory(SCFT).Based on the analysis of the MLP permeating the GV membranes,a simple transport model is *** effects of the difference in membrane morphology and the size of the nanoparticle on the endocytosis are discussed *** role of energy barriers in quasi-equilibrium is also *** results indicate that the interaction between MLP and GV is a spontaneous process and the energy barrier needs overcoming to form metastable *** results provide theoretical reference for better understanding the transmembrane transport process of nanoparticles,and guidance for relevant experimental studies as well.

关键词： multicomponent liposome-nanoparticles self-consistent field theory giant vesicles energy barrier

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Bioinspired DNA Plastics with Brick-and-Mortar Structure: Enhanced Toughness, Recyclability, and Degradability

Chem and Bio Engineering

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Chem and Bio engineering 2025年第5期2卷 303-311页

作者： Li, Xiaofeng Shan, Xi Chen, Jiadong Zhu, Jun Chen, Yang Chen, Xueyi Li, Shahao Lu, Mengze Du, Yuhui Yin, Panchao Chen, Tingjian Sun, Taolin South China Advanced Institute for Soft Matter Science and Technology School of Emergent Soft Matter South China University of Technology Guangzhou510640 China Guangdong Provincial Key Laboratory of Functional and Intelligent Hybrid Materials and Devices South China University of Technology Guangzhou510640 China MOE International Joint Research Laboratory on Synthetic Biology and Medicines School of Biology and Biological Engineering South China University of Technology Guangzhou510006 China Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials South China University of Technology Guangzhou510640 China State Key Laboratory of Pulp and Paper Engineering South China University of Technology Guangzhou Guangzhou510640 China

Bio-based plastics offer the advantage of biodegradability over traditional petroleum-based plastics, enabling natural reintegration into the environment and positioning them as a more sustainable alternative. DNA, as a natural biopolymer, exhibits excellent biocompatibility and degradability. However, the mechanical strength of currently biomass DNA-based materials is inferior to that of other bio-based and petroleum-based plastics. In this work, DNA plastics with a ″brick-and-mortar" structure were fabricated using DNA extracted from onions through bidirectional freezing, water vapor annealing, and compression densification. This biomimetic design significantly enhances the fracture toughness (∼1.5 MPa·m1/2) while possessing a high elastic modulus (∼560 MPa) of DNA plastic, making it superior or comparable to existing bio-based plastics and petroleum-based plastics, and thus positioning it as a potential structural material. Analysis of crack propagation behavior in DNA plastics reveals that their high toughness stems from a hierarchical ″brick-and-mortar″ structure operating across multiple length scales, facilitating a multiscale fracture process from macroscopic to molecular levels. Furthermore, these DNA plastics can be efficiently recycled in aqueous environments and fully biodegraded by enzymes, demonstrating strong environmental friendliness and significant potential for sustainable development. © 2025 The Authors. Co-published by Zhejiang University and American Chemical Society.

关键词： Mortar

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Two-Stage Guided Constraint Differential Evolution Algorithm

Journal of Network Intelligence

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Journal of Network Intelligence 2023年第4期8卷 1109-1133页

作者： Sung, Tien-Wen Liang, Qiaoxin Hong, Chuanbo Huang, Zeming Li, Wei Nguyen, Trinh-Dong College of Computer Science and Mathematics Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fujian Fuzhou350118 China School of Electronic Electrical Engineering and Physics Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology Fujian Fuzhou350118 China Department of Software Engineering University of Information Technology Ho Chi Minh City Viet Nam

The development of population intelligence has shown a great trend of a linear surge in recent years, and a large number of intelligent algorithms inspired by biology have been studied. Among them, differential evolution (DE) algorithms have attracted the attention of many researchers because of their simplicity, high efficiency, powerful search capability, etc. DE has strong exploitability and can approach the global optimum faster, but it cannot avoid the phenomenon of search stagnation and premature convergence. To address the drawbacks of DE, the two-stage bootstrap constrained differential evolution algorithm (TSGCDE) is proposed in this paper. In TSGCDE, instead of the traditional one population, the population is divided into two as a way to increase the diversity of the population. Divided into two stages, each stage searches for optimal solutions in different directions in different populations, and the optimal solutions and the bootstrap solutions generated by the populations in the two stages are bounded by each other’s bootstrap, which makes the DE have a more powerful optimal-seeking ability and easier to jump out of the local optimum. To validate the performance of TSGCDE, we conducted experiments on CEC2013 and CEC2014 benchmarks with some well-known algorithm variants, and the experimental results show that our proposed algorithm is competitive. © 2023, Taiwan Ubiquitous information CO LTD. All rights reserved.

关键词： Swarm intelligence

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A Survey of Underwater Multi-Robot systems

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IEEE/CAA Journal of Automatica Sinica 2022年第1期9卷 1-18页

作者： Ziye Zhou Jincun Liu Junzhi Yu State Key Laboratory for Turbulence and Complex System Department of Advanced Manufacturing and RoboticsBeijing Innovation Center for Engineering Science and Advanced TechnologyCollege of EngineeringPeking UniversityBeijing 100871China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China

As a cross-cutting field between ocean development and multi-robot system(MRS),the underwater multi-robot system(UMRS)has gained increasing attention from researchers and engineers in recent *** this paper,we present a comprehensive survey of cooperation issues,one of the key components of UMRS,from the perspective of the emergence of new *** specifically,we categorize the cooperation in terms of task-space,motion-space,measurement-space,as well as their ***,we analyze the architecture of UMRS from three aspects,i.e.,the performance of the individual underwater robot,the new functions of underwater robots,and the technical approaches of *** conclude,we have discussed related promising directions for future *** survey provides valuable insight into the reasonable utilization of UMRS to attain diverse underwater tasks in complex ocean application scenarios.

关键词： Cooperation formation control multi-robot systems(MRS) taxonomy underwater robots underwater tasks

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Wastewater treatment plant site selection using advanced decision tree machine learning and remote sensing techniques

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Environmental science and Pollution Research 2025年第1期32卷 234-247页

作者： Thangarasu, Thenmozhi Aldehim, Ghadah Alruwais, Nuha Kandasamy, Anguraj Department of Electronics and Communication Engineering Government College of Engineering Tamil Nadu Salem India Department of Information Systems College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia Department of Computer Science and Engineering College of Applied Studies and Community Services King Saud University Saudi Arabia P.O.Box 22459 Riyadh11495 Saudi Arabia Department of Electronics & Communication Engineering Sona College of Technology Tamil Nadu Salem India

Wastewater treatment plants in Coimbatore South are under pressure from rapid urbanization, inadequate infrastructure, and industrial pollution, leading to environmental and public health concerns. This study aimed to identify suitable locations for wastewater treatment plants using a combination of machine learning, remote sensing, and GIS-based multicriteria decision analysis (MCDA). Several datasets were analysed, with the analytical hierarchy process (AHP) assigning weights to factors such as slope (18.51) and elevation (31.39), which were found to be crucial in site selection. The study classified the suitability of sites into five categories, with the western region being the most favourable due to its low elevation (147 to 200 m), gentle slopes (0–3%), and substantial land availability (approximately 309.00 sq. km). Overall, the site suitability analysis revealed that 14.48% (110.2 sq. km) of the area falls within "Very High Favourable Zones," while 11.21% (85.3 sq. km) is categorized as "High Favourable Zones." Moderate and low favourable zones account for 9.63% (73.3 sq. km) and 24.04% (182.9 sq. km), respectively. The remaining 40.57% (308.7 sq. km) is considered "Very Low Favourable Zones." These results can guide urban planning decisions, highlighting the importance of factors such as land availability, population growth, wastewater volume, and flood vulnerability. Integrating GIS technology with decision-making processes enhances the strategic placement of urban utilities, ensuring long-term sustainability for Coimbatore South's wastewater management. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Site selection

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The Performance Evaluation of Static Obstacle Recognition by Underwater Pressure Characteristics for Underwater Spherical Robot 20

The Performance Evaluation of Static Obstacle Recognition by...

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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Li, Ao Guo, Shuxiang The Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology The Ministry of Industry and Information Technology Beijing Institute of Technology Beijing100081 China Southern University of Science and Technology The Department of Electronic and Electrical Engineering Guangdong Shenzhen518055 China

ISBN: (纸本)9798350320831

Underwater spherical robots are flexible and often perform tasks in narrow, dark and complex environments. The artificial lateral line system inspired by the lateral line system of fish can recognize obstacles. However, currently, the recognition of obstacles under the artificial lateral line system is mainly based on the vibration characteristics of obstacles. Based on the blank recognition of static obstacles, this paper analyzes the feasibility of recognition static obstacles. A polynomial regression model is proposed to detect static obstacles (walls) by moving robots. Finally, the effectiveness of obstacle recognition is verified by experiment and simulation. © 2023 IEEE.

关键词： Regression analysis

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Conjugation of a zwitterionic polymer with dimethyl chains to lipase significantly increases the enzyme activity and stability

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Chinese Journal of Chemical engineering 2022年第7期35卷 48-53页

作者： Chunyu Zhang Yan Sun Xiaoyan Dong Department of Biochemical Engineering School of Chemical Engineering and Technology and Key Laboratory of Systems Bioengineering and Frontiers Science Center for Synthetic Biology(Ministry of Education)Tianjin UniversityTianjin 300350China College of Life Sciences Yantai UniversityYantai 264005China

Enzyme-polymer conjugates are complex molecules with great practical *** work was designed to develop a novel enzyme-polymer conjugate by covalently coupling a zwitterionic polymer with side dimethyl chains(pID)to Candida rugosa lipase(CRL)via the reaction between the anhydrides of polymer chains with the amino groups of the *** resulting two CRL-pID conjugates with different pID grafting densities were investigated in term of the catalytic activity,stability and structural *** comparison with native CRL,both the CRL conjugates displayed 2.2 times higher activity than the native enzyme,and showed an increase in the maximum reaction rate(V_(max))and a decrease in the Michaelis constant(K_(m)),thus resulting in about three-fold increases in the catalytic efficiency(k_(cat)/K_(m)).These are mainly attributed to the activation of lipase by the hydrophobic alky side ***,the thermostability and pH tolerance of the lipase conjugates were significantly enhanced due to the stabilizing effect of the zwitterion *** instance,a five-fold increase of the enzyme half-life at 50℃ for the high-pID conjugated CRL was *** studies reveal that the pID conjugation protected the enzyme in the changes in its microenvironment and conformation,well correlating with enhanced activity and stability of lipase *** findings indicate that enzyme conjugation to the zwitterionic polymer is promising for improving enzyme performance and deserves further development.

关键词： Lipase Zwitterionic polymer Enzyme-polymer conjugate Stability Interfacial activation

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DeepCNN:Spectro-temporal feature representation for speech emotion recognition

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CAAI Transactions on Intelligence technology 2023年第2期8卷 401-417页

作者： Nasir Saleem Jiechao Gao Rizwana Irfan Ahmad Almadhor Hafiz Tayyab Rauf Yudong Zhang Seifedine Kadry Department of Electrical Engineering Faculty of Engineering and TechnologyGomal UniversityD.I.KhanPakistan Department of Computer Science University of VirginiaCharlottesvilleVirginiaUSA Department of Information Technology College of Computing and Information Technology at KhulaisUniversity of JeddahJeddahSaudi Arabia Department of Computer Engineering and Networks College of Computer and Information SciencesJouf UniversitySkaka AljoufSaudi Arabia Centre for Smart Systems AI and CybersecurityStaffordshire UniversityStoke‐on‐TrentUK School of Computing and Mathematical Sciences University of LeicesterLeicesterUK Department of Applied Data Science Noroff University CollegeKristiansandNorway Artificial Intelligence Research Center(AIRC) Ajman UniversityAjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon

Speech emotion recognition(SER)is an important research problem in human-computer interaction *** representation and extraction of features are significant challenges in SER *** the promising results of recent studies,they generally do not leverage progressive fusion techniques for effective feature representation and increasing receptive *** mitigate this problem,this article proposes DeepCNN,which is a fusion of spectral and temporal features of emotional speech by parallelising convolutional neural networks(CNNs)and a convolution layer-based *** parallel CNNs are applied to extract the spectral features(2D-CNN)and temporal features(1D-CNN)representations.A 2D-convolution layer-based transformer module extracts spectro-temporal features and concatenates them with features from parallel *** learnt low-level concatenated features are then applied to a deep framework of convolutional blocks,which retrieves high-level feature representation and subsequently categorises the emotional states using an attention gated recurrent unit and classification *** fusion technique results in a deeper hierarchical feature representation at a lower computational cost while simultaneously expanding the filter depth and reducing the feature *** Berlin Database of Emotional Speech(EMO-BD)and Interactive Emotional Dyadic Motion Capture(IEMOCAP)datasets are used in experiments to recognise distinct speech *** efficient spectral and temporal feature representation,the proposed SER model achieves 94.2%accuracy for different emotions on the EMO-BD and 81.1%accuracy on the IEMOCAP dataset *** proposed SER system,DeepCNN,outperforms the baseline SER systems in terms of emotion recognition accuracy on the EMO-BD and IEMOCAP datasets.

关键词： decision making deep learning

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The Title of the Paper: A Query Expansion Method Oriented Sentence Component Similarity Calculation 3

The Title of the Paper: A Query Expansion Method Oriented Se...

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3rd World Symposium on Software engineering, WSSE 2021

作者： Yang, Jiwei Liao, Zenghua He, Chunhui Ge, Bin Science and Technology on Information Systems Engineering Laboratory National University of Defense Technology Changsha410073 China

ISBN: (纸本)9781450384094

Using short sentences as input for information retrieval can obtain richer semantic features than keywords and their combination. On the basis of Sentence trunk extraction, a Query Expansion Oriented sentence-Component Similarity Calculation (QE-SCSC) is proposed. In this method, keywords of different components in query statements were extracted, and the semantic extension of keywords was carried out from similarity and relevance based on ontology, and the weight of extended keywords is adjusted by comprehensively considering the original weight, relation weight, component weight and proportion. Experimental results show that the QE-SCSC method can greatly improve the query accuracy under the premise of ensuring the recall ratio. © 2021 ACM.

关键词： Ontology

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Simultaneously healing cracks and strengthening additively manufactured Co_(34)Cr_(32)Ni_(27)Al_(4)Ti_(3) high-entropy alloy by utilizing Fe-based metallic glasses as a glue

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Journal of Materials science & technology 2024年第12期179卷 125-137页

作者： Hao Kang Kaikai Song Leilei Li Xiaoming Liu Yandong Jia Gang Wang Yaocen Wang Si Lan Xin Lin Lai-Chang Zhang Chongde Cao School of Physical Science and Technology Northwestern Polytechnical UniversityXian 710072China School of Mechanical Electrical&Information EngineeringShandong UniversityWeihai 264209China Institute of Materials Shanghai UniversityShanghai 200444China Herbert Gleiter Institute of Nanoscience School of Materials Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXian 710072China Centre for Advanced Materials and Manufacturing School of EngineeringEdith Cowan University270 Joondalup DriveJoondalupPerthWestern Australia 6027Australia Research and Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057China

Solidification cracking issues during additive manufacturing(AM)severely prevent the rapid development and broad application of this *** this work,a representative Co_(34)Cr_(32)Ni_(27)Al_(4)Ti_(3) high-entropy al-loy(HEA)susceptible to crack formation was fabricated by selective laser melting(SLM).As expected,many macroscopic cracks *** crack issues were successfully solved after introducing a certain amount of Fe-based metallic glass(MG)powder as a glue during *** effect of MG addition on the formation and distribution of defects in the SLM-processed HEA was quantitatively *** an increasing mass fraction of the MG,the dominant defects transformed from cracks to lack of fusion(LOF)defects and finally ***,the MG preferred to be segregated to the boundaries of the molten ***,the coarse columnar crystals gradually transformed into equiaxed crystals in the molten pool and fine-equiaxed crystals at the edge of the molten pool,inhibiting the initiation of cracks and providing extra grain boundary ***,multiple precipitates are formed at the boundaries of cellular structures,which contribute significantly to *** to the brit-tle SLM-processed Co_(34)Cr_(32)Ni_(27)Al_(4)Ti_(3) HEA,the SLM-processed HEA composite exhibited a high ultimate tensile strength greater than 1.4 Ga and enhanced *** work demonstrates that adding Fe-based MG powders as glues into SLM-processed HEAs may be an attractive method to heal cracks and simultaneously enhance the mechanical properties of additively manufactured products.

关键词： Selective laser melting High-entropy alloys Crack healing Metallic glasses Mechanical properties

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