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An introductory review of swarm technology for spacecraft on-orbit servicing

International Journal of Mechanical System Dynamics 2024年第1期4卷 3-21页

作者： El Ghali Asri Zheng h.Zhu Department of Mechanical Engineering York UniversityTorontoOntarioCanada

This review paper presents a comprehensive evaluation and forward-looking perspective on the underexplored topic of servicing target objects using spacecraft *** targets can be known or unknown,cooperative or uncooperative,and pose significant challenges in modern space operations due to their inherent complexity and *** servicing space objects is vital for active debris removal and broader on-orbit servicing tasks such as satellite maintenance,repair,refueling,orbital assembly,and *** effort has been invested in the literature to explore the servicing of targets using a single *** its advantages and benefits,this paper expands the discussion to encompass a swarm approach to the *** review covers various single-spacecraft approaches and presents a critical examination of the existing,although limited,body of work dedicated to servicing orbital objects using multiple *** focus is also broadened to include some influential studies concerning the characterization,capture,and manipulation of physical objects by general multiagent systems,a subject with significant parallels to the core interest of this ***,this article also delves into the realm of simultaneous localization and mapping,highlighting its application within close-proximity operations in space,especially when dealing with unknown uncooperative *** attention is paid to the benefits that this field can receive from distributed multiagent ***,an exploration of the promising field of swarm robotics is presented,with an emphasis on its potential to revolutionize the servicing of orbital target ***,a survey of general research directly engaging swarms in the orbital context is *** review aims to bridge the knowledge gap and stimulate further research in the underexplored domain of servicing space targets with spacecraft swarms.

关键词： space robotics on-orbit servicing close-proximity operations guidance and navigation swarm robotics multiagent systems object capture and manipulation simultaneous localization and mapping

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The immune response to SARS-CoV-2 in people with hIV

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Cellular & Molecular Immunology 2024年第2期21卷 184-196页

作者： Maxine A.höft Wendy A.Burgers Catherine Riou Institute of Infectious Disease and Molecular Medicine University of Cape TownCape TownSouth Africa Division of Medical Virology Department of PathologyUniversity of Cape TownCape TownSouth Africa Wellcome Centre for Infectious Diseases Research in Africa University of Cape TownCape TownSouth Africa

This review examines the intersection of the hIV and SARS-CoV-2 *** with hIV(PWh)are a heterogeneous group that differ in their degree of immune suppression,immune reconstitution,and viral *** COVID-19 in those with wellcontrolled hIV infection poses no greater risk than that for hIV-uninfected individuals,people with advanced hIV disease are more vulnerable to poor COVID-19 ***-19 vaccines are effective and well tolerated in the majority of PWh,though reduced vaccine efficacy,breakthrough infections and faster waning of vaccine effectiveness have been demonstrated in *** is likely a result of suboptimal humoral and cellular immune responses after *** with advanced hIV may also experience prolonged infection that may give rise to new epidemiologically significant variants,but initiation or resumption of antiretroviral therapy(ART)can effectively clear persistent ***-19 vaccine guidelines reflect these increased risks and recommend prioritization for vaccination and additional booster doses for PWh who are moderately to severely *** recommend continued research and monitoring of PWh with SARS-CoV-2 infection,especially in areas with a high hIV burden.

关键词： SARS-CoV-2 hIV Immune dysfunction Vaccine efficacy Prolonged infection Immunogenicity

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Advanced Optimized Anomaly Detection System for IoT Cyberattacks Using Artificial Intelligence

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Computers, Materials & Continua 2024年第2期78卷 1525-1545页

作者： Ali hamid Farea Omar h.Alhazmi Kerem Kucuk Department of Computer Science Taibah UniversityMedina42315Saudi Arabia Department of Software Engineering Kocaeli UniversityKocaeli41001Turkey

While emerging technologies such as the Internet of Things(IoT)have many benefits,they also pose considerable security challenges that require innovative solutions,including those based on artificial intelligence(AI),given that these techniques are increasingly being used by malicious actors to compromise IoT *** an ample body of research focusing on conventional AI methods exists,there is a paucity of studies related to advanced statistical and optimization approaches aimed at enhancing security *** contribute to this nascent research stream,a novel AI-driven security system denoted as“AI2AI”is presented in this ***2AI employs AI techniques to enhance the performance and optimize security mechanisms within the IoT *** also introduce the Genetic Algorithm Anomaly Detection and Prevention Deep Neural Networks(GAADPSDNN)sys-tem that can be implemented to effectively identify,detect,and prevent cyberattacks targeting IoT ***,this system demonstrates adaptability to both federated and centralized learning environments,accommodating a wide array of IoT *** evaluation of the GAADPSDNN system using the recently complied WUSTL-IIoT and Edge-IIoT datasets underscores its *** an impressive overall accuracy of 98.18%on the Edge-IIoT dataset,the GAADPSDNN outperforms the standard deep neural network(DNN)classifier with 94.11%***,with the proposed enhancements,the accuracy of the unoptimized random forest classifier(80.89%)is improved to 93.51%,while the overall accuracy(98.18%)surpasses the results(93.91%,94.67%,94.94%,and 94.96%)achieved when alternative systems based on diverse optimization techniques and the same dataset are *** proposed optimization techniques increase the effectiveness of the anomaly detection system by efficiently achieving high accuracy and reducing the computational load on IoT devices through the adaptive selection of active features.

关键词： Internet of Things security anomaly detection and prevention system artificial intelligence optimization techniques

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Pre-activated macrophage membrane-encased aggregationinduced emission featuring nanoparticles:a novel possibility for tuberculosis treatment

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Signal Transduction and Targeted Therapy 2024年第7期9卷 2848-2850页

作者： Qiang Cai Yihao Tian Quazi T.h.Shubhra Department of Neurosurgery Renmin Hospital of Wuhan UniversityWuhanChina Department of human Anatomy and histology and Embryology School of Basic Medical SciencesWuhan UniversityWuhanChina Institute of Chemistry University of Silesia in KatowiceSzkolna 9KatowicePoland

In a recent study published in Nature Nanotechnology,Li et *** the synthesis of a novel photosensitizer with unique aggregation-induced emission(AIE)characteristics.1 They microencapsulated this photosensitizer inside engineered nanoparticles(NPs)coated with pre-activated macrophage cell membranes(CMs),an innovative approach marking a significant leap in nanomedicine by offering a pathway to potent tuberculosis(TB)treatments that bypass antibiotic resistance with unparalleled precision.

关键词： tuberculosis macrophage aggregation

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Inhibiting the oligomerization of mycobacterial DNA-directed RNA polymerase(RNAP)using natural compound via in-silico techniques

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Medicine in Novel Technology and Devices 2024年第1期21卷 97-109页

作者： Ehssan h.Moglad Department of Pharmaceutics College of PharmacyPrince Sattam Bin Abdulaziz UniversityP.O.Box 173 Alkharj 11942Saudi Arabia Department of Microbiology and Parasitology Institute of Medicinal and Aromatic Plants ResearchThe National Center for ResearchP.O.Box 2404KhartoumSudan

Mycobacterium tuberculosis(Mtb)is responsible for the spread of tuberculosis(TB).The current study employed virtual screening of 2569 natural compounds against the DNA-directed RNA polymerase(RNAP)of Mtb to identify the possible binders that can inhibit its *** in-silico methodology included molecular docking to the compounds,further,the stability and flexibility of the best complexes were studied using molecular dynamics simulation,the MM/GBSA binding free energy technique with energy decomposition,PCA,FEL,steered MD simulation,and umbrella *** virtual screenings were conducted for the five RNAP subunits(chains A,B,C,D,and E)to identify a compound capable of inhibiting RNAP oligomerization.A promising compound,isoestradiol 3-benzoate,exhibited a low binding score(−7.28kcal/mol to−8.21kcal/mol)and showed binding ability with all subunits of the ***,the five complexes with isoestradiol 3-benzoate were selected for molecular dynamics simulation ***,RMSD showed that isoestradiol 3-benzoate bound with chain E showed the lowest RMSD of 0.49nm,while with chains A and B it had the most stable and consistent conformations with RMSD of 1.75nm and 1.2nm,*** h-bond between isoestradiol 3-benzoate and chains C and E showed the highest occupancy(58.27%,45.33%,and 50.80%,42.25%,11.75%).Moreover,the MMPBSA technique showed that isoestradiol 3-benzoate had a strong association with chains B and C(ΔGbind=−126.25±2.03 and−129.27±2.25).Additionally,free energy decomposition,PCA,FEL-steered MD simulation,and umbrella sampling were also performed to validate the association of the ligand with the *** 3-benzoate binds strongly to chains B and E;therefore,it should be considered as viable candidate for inhibiting the formation of RNAP protein complex,concluded in this study.

关键词： Mycobacterium tuberculosis DNA-Directed RNA polymerase Docking Steered MD simulation Natural compounds Binding free energy Umbrella sampling

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On an isotropic porous solid cylinder:the analytical solution and sensitivity analysis of the pressure

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Applied Mathematics and Mechanics(English Edition) 2024年第9期45卷 1499-1522页

作者： h.ASGhARI L.MILLER R.PENTA J.MERODIO Departamento de Matematica Aplicada a las TIC ETS de Ingenieria de Sistemas InformaticosUniversidad Politecnica de MadridMadrid 28031Spain School of Mathematics and Statistics University of GlasgowGlasgow G128QQU.K.

Within this work,we perform a sensitivity analysis to determine the influence of the material input parameters on the pressure in an isotropic porous solid *** provide a step-by-step guide to obtain the analytical solution for a porous isotropic elastic cylinder in terms of the pressure,stresses,and elastic *** obtain the solution by performing a Laplace transform on the governing equations,which are those of Biot's poroelasticity in cylindrical polar *** enforce radial boundary conditions and obtain the solution in the Laplace transformed domain before reverting back to the time *** sensitivity analysis is then carried out,considering only the derived pressure *** analysis finds that the time t,Biot's modulus M,and Poisson's ratio ν have the highest influence on the pressure whereas the initial value of pressure P_(0) plays a very little role.

关键词： sensitivity analysis Laplace transform cylindrical polar coordinate Biot's modulus cylinder

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Estimating Critical Clearing Time of Grid Faults Using DA of State-Reduction Model of Power Systems

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 807-820页

作者： Yang Liu Zhongyang Chen huanjin Yao Lin Yi Q.h.Wu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China China Southern Power Grid Research Institute Guangzhou 510663China

This paper proposes a critical clearing time (CCT) estimation method by the domain of attraction (DA) of a state-reduction model of power systems using sum of squares (SOS) programming. By exploiting the property of the Jacobian matrix and the structure of the boundary of the DA, it is found the DA of the state-reduction model and that of the full model of a power system are topological isomorphism. There are one-to-one correspondence relationships between the number of equilibrium points, the type of equilibrium points, and solutions of the two system models. Based on these findings, an expanding interior algorithm is proposed with SOS programming to estimate the DA of the state-reduction model. State trajectories of the full model can be transformed to those of the state-reduction model by orthogonal or equiradius projection. In this way, CCT of a grid fault is estimated with the DA of the state-reduction model. The calculational burden of SOS programming in the DA estimation using the state-reduction model is rather small compared with using the full model. Simulation results show the proposed expanding interior algorithm is able to provide a tight estimation of DA of power systems with higher accuracy and lower time costs.

关键词： Critical clearing time domain of attraction expanding interior algorithm state-reduction model SOS programming

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Flexible neural probes:a review of the current advantages,drawbacks,and future demands

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2024年第2期25卷 153-167页

作者： Sara PIMENTA Joao R.FREITAS Joséh.CORREIA CMEMS-UMinho University of MinhoGuimarães4800-058Portugal LABBELS-Associate Laboratory Braga/GuimarãesPortugal

Brain diseases affect millions of people and have a huge social and economic *** use of neural probes for studies in animals has been the main approach to increasing knowledge about neural network ***,neuroscientists are trying to develop new and more effective therapeutic approaches to treating neurological *** implementation of neural probes with multifunctionalities(electrical,optical,and fluidic interactions)has been increasing in the last few years,leading to the creation of devices with high temporal and spatial *** the applicability of,and elements integrated into,neural probes has also led to the necessity to create flexible interfaces,reducing neural tissue damage during probe implantation and increasing the quality of neural acquisition *** this paper,we review the fabrication,characterization,and validation of several types of flexible neural probes,exploring the main advantages and drawbacks of these ***,future developments and applications are ***,this review aims to present the currently available flexible devices and future appropriate avenues for development as possible guidance for future engineered devices.

关键词： Brain knowledge Flexible interface Multifunctional probe

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Energy Design and Optimization of Greenhouse by Natural Convection

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Fluid Dynamics & Materials Processing 2024年第8期20卷 1903-1913页

作者： h.Benzzine h.Labrim Aouatif Saad Y.Achour D.Zejli R.El Bouayadi Advanced Systems Engineering Laboratory(ASELab) National School of Applied SciencesIbn Tofail UniversityKenitraMorocco

This study addresses the pressing need for energy-efficient greenhouse management by focusing on the innovative application of natural *** primary objective of this study is to evaluate various ventilation strategies to enhance energy efficiency and optimize crop production in agricultural *** advanced numerical simulation tools,the study conducts a comprehensive assessment of natural ventilation’s effectiveness under real-world *** results underscore the crucial role of the stack effect and strategic window positioning in greenhouse cooling,providing valuable insights for greenhouse *** findings shed light on the significant benefits of optimized ventilation and also offer practical implications for improving greenhouse design,ensuring sustainable and efficient agricultural *** study demonstrated energy savings in cooling from November to April,with a maximum saving of 680 kWh in March,indicating the effectiveness of strategically positioning windows to leverage the stack *** approach enhances plant growth and reduces the need for costly cooling systems,thereby improving overall energy efficiency and lowering operational expenses.

关键词： Energy greenhouse cooling natural ventilation simulation temperature

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A high-Order Localized Artificial Diffusivity Scheme for Discontinuity Capturing on 1D Drift-Flux Models for Gas-Liquid Flows

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Advances in Applied Mathematics and Mechanics 2024年第1期16卷 47-74页

作者： Adyllyson h.Nascimento Eugenio S.Rosa Department of Energy School of Mechanical EngineeringUniversity of CampinasCampinasBrazil

A computational code is developed for the numerical solution of onedimensional transient gas-liquid flows using drift-flux models,in isothermal and also with phase change *** these two-phase models,classical upwind schemes such as Roe-and Godunov-type schemes are generally difficult to derive and expensive to use,since there are no treatable analytic expressions for the Jacobian matrix,eigenvalues and eigenvectors of the system of *** the other hand,the highorder compact finite difference scheme becomes an attractive alternative on these occasions,as it does not make use of any wave propagation information from the system of *** present paper extends the localized artificial diffusivity method for high-order compact finite difference schemes to solve two-phase flows with *** numerical method has simple formulation,straightforward implementation,low computational cost and,most importantly,*** numerical methodology proposed is validated by solving several numerical examples given in the *** simulations are sixth-order accurate and it is shown that the proposed numerical method provides accurate approximations of shock waves and contact *** is an essential property for simulations of realistic mass transport problems relevant to operations in the petroleum industry。

关键词： Compressible two-phase flows drift-flux model localized artificial diffusivity highorder numerical methods

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