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Therapeutic Potential of Thunbergia laurifolia *** in Gestational Diabetes Mellitus:Insights from a Rat Model

Chinese Journal of Integrative Medicine 2024年第9期30卷 788-798页

作者： Sasitorn Kerdsuknirund Arreeya Kosinan Panida Khunkaewla Pakanit Kupittayanant Ratchadaporn Oonsivilai Pattama Tongdee Porntip Nimkuntod Susan Wray Sajeera Kupittayanant school of Preclinical Sciences Institute of ScienceSuranaree University of TechnologyNakhon Ratchasima30000Thailand Biochemistry-Electrochemistry Research Unit School of BiochemistryInstitute of ScienceSuranaree University of TechnologyNakhon Ratchasima30000Thailand school of Animal Technology and Innovation Institute of Agricultural TechnologySuranaree University of TechnologyNakhon Ratchasima30000Thailand school of Food Technology Institute of Agricultural TechnologySuranaree University of TechnologyNakhon Ratchasima30000Thailand school of Obstetrics and Gynecology Institute of MedicineSuranaree University of TechnologyNakhon Ratchasima30000Thailand school of Internal Medicine Institute of MedicineSuranaree University of TechnologyNakhon Ratchasima30000Thailand Harris-Wellbeing Preterm Birth Research Centre Department of Women and Children’s Healththe Institute of Lifecourse and Medical SciencesUniversity of LiverpoolLiverpoolUK

Objective:To assess the effects of Thunbergia laurifolia ***(TLE)on gestational diabetes mellitus(GDM)in a rat ***:Thunbergia laurifolin *** were subjected to ethanolic *** vivo study,50 pregnant rats were randomly divided into 5 groups(10 for each):non-GDM group,GDM induced by streptozotocin(STZ,60 mg/kg i.p.),metformin(MET)100 mg/kg,TLE 50,and 500 mg/kg *** was performed on gestation day 7 until term(day 21).The effects of TLE on blood glucose,insulin levels,lipid profiles,liver enzymes,and maternal performances were *** in vitro study,the effect of TLE was examined using the organ bath for uterine force ***:In in vivo study,TLE significantly reduced blood glucose as compared to GDM(P<0.05)with gradually increased insulin *** effect was consistent with islets of Langerhans ***,the uterine muscular layer displayed a marked increase in fiber area in response to both doses as compared to GDM(P<0.05).Additionally,TLE significantly reduced total cholesterol,triglyceride,and alanine transaminase levels(P<0.05).Intriguingly,TLE also led to a notable augmentation in gravid uterus size,live fetuses count,and implantation numbers,while significantly reducing the post-implantation loss rate associated with fetal classification(P<0.05).Thus,GDM improvements were close to those produced by *** in vitro study,TLE exerted a concentration-dependent inhibition of spontaneous uterine contractility(half-maximal inhibition concentration=1.2 mg/L).This inhibitory effect extended to potassium chloride depolarization and oxytocin-mediated *** combined with its major constituent,rosmarinic acid,TLE produced an enhanced inhibitory effect(P<0.05).Conclusions:TLE ameliorated blood glucose levels,enhanced uterine muscular structure,and improved maternal and fetal performance in *** also displayed tocolytic *** findings underscore the need for further explor

关键词： myometrium gestational diabetes mellitus tocolytic oxytocin Thunbergia laurifolia L.

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Deep Global Multiple-Scale and Local Patches Attention Dual-Branch Network for Pose-Invariant Facial Expression Recognition

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 405-440页

作者： Chaoji Liu Xingqiao Liu Chong Chen Kang Zhou school of Electrical and Information Engineering Jiangsu UniversityZhenjiang212013China school of Electrical Engineering Yancheng Institute of TechnologyYancheng224051China

Pose-invariant facial expression recognition(FER)is an active but challenging research topic in computer *** with the involvement of diverse observation angles,FER makes the training parameter models inconsistent from one view to *** study develops a deep global multiple-scale and local patches attention(GMS-LPA)dual-branch network for pose-invariant FER to weaken the influence of pose variation and selfocclusion on recognition *** this research,the designed GMS-LPA network contains four main parts,i.e.,the feature extraction module,the global multiple-scale(GMS)module,the local patches attention(LPA)module,and the model-level fusion *** feature extraction module is designed to extract and normalize texture information to the same *** GMS model can extract deep global features with different receptive fields,releasing the sensitivity of deeper convolution layers to pose-variant and *** LPA module is built to force the network to focus on local salient features,which can lower the effect of pose variation and self-occlusion on recognition ***,the extracted features are fused with a model-level strategy to improve recognition *** experimentswere conducted on four public databases,and the recognition results demonstrated the feasibility and validity of the proposed methods.

关键词： Pose-invariant FER global multiple-scale(GMS) local patches attention(LPA) model-level fusion

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Robust Regularization Design of Graph Neural Networks Against Adversarial Attacks Based on Lyapunov Theory

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Chinese Journal of Electronics 2024年第3期33卷 732-741页

作者： Wenjie YAN Ziqi LI Yongjun QI school of Artificial Intelligence Hebei University of Technology school of Computer Science and Engineering of North China institute of Aerospace Engineering

The robustness of graph neural networks（GNNs） is a critical research topic in deep *** researchers have designed regularization methods to enhance the robustness of neural networks,but there is a lack of theoretical analysis on the principle of *** order to tackle the weakness of current robustness designing methods,this paper gives new insights into how to guarantee the robustness of GNNs.A novel regularization strategy named Lya-Reg is designed to guarantee the robustness of GNNs by Lyapunov *** results give new insights into how regularization can mitigate the various adversarial effects on different graph *** experiments on various public datasets demonstrate that the proposed regularization method is more robust than the state-of-theart methods such as L1-norm,L2-norm,L2-norm,Pro-GNN,PA-GNN and GARNET against various types of graph adversarial attacks.

关键词： Training Deep learning Garnets Robustness Graph neural networks

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A Data-Driven Real-Time Trajectory Planning and Control Methodology for UGVs Using LSTMRDNN

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1292-1294页

作者： Kaiyuan Chen Runqi Chai Runda Zhang Zhida Xing Yuanqing Xia Guoping Liu Vanke school of Public Health Institute for Healthy ChinaTsinghua UniversityBeijing 100084 school of Automation Beijing Institute of TechnologyBeijing 100081 Department of Electronic and Electrical Engineering Southern University of Science and TechnologyShenzhen 518055China

Dear Editor,This letter presents a novel data-driven trajectory planning and control scheme for the unmanned ground vehicles(UGVs).A recent work[1]has demonstrated the effectiveness of approximating the optimal state ... 详细信息

关键词： LSTM UGV neural

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Integration of metal-organic layers with quantum dots for artificial photosynthesis

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Science China Chemistry 2024年第11期67卷 3712-3718页

作者： Hong Yuan Min Zhang Ji-Hua Deng Tong-Bu Lu Di-Chang Zhong institute for New Energy Materials and Low Carbon Technologies School of Materials Science and Engineering School of Chemistry and Chemical Engineering Tianjin University of Technology

Metal-organic layers（MOLs）, a type of new-emerging two-dimensional ultrathin metal-organic framework materials with large surface areas and highly exposed active sites, have shown promising applications in photocatalytic CO2reduction. However, due to a lack of photosensitivity and photooxidation capability, photosensitizers and sacrificial reductants are usually necessary for MOLs-based photocatalytic CO2reduction systems. In this article, by integration of MOLs and quantum dots（QDs）, we constructed MOLs-based catalysts with multi-functions of photosensitivity, photoreduction and photooxidation, which thus can serve as photocatalysts for CO2reduction with H2O as an electron donor. Specifically, by an electrostatic self-assembly approach,nickel（Ⅱ）-based MOLs（Ni-MOLs） and CsPbBr3QDs have been assembled, constructing valid Ⅱ-Scheme Ni-MOLs/CsPbBr3heterojunctions with close Ni-MOLs/CsPbBr3heterointerface. Such a close heterointerface shortens the charge transfer distance,thus effectively boosting the charge separation and transfer. As a result, upon illumination by visible light(λ ≥ 400 nm,100 m W cm-2), the optimized photocatalyst shows high efficiency and stability in photochemical CO2reduction in the absence of any photosensitizers and sacrificial reductants. The CO yield reaches as high as 124 μmol g-1in 4 h, over 6 times higher than that achieved by CsPbBr3. Additionally, the selectivity reaches 100%. This work provides a new way to construct MOL-based catalysts for artificial photosynthesis.

关键词： metal-organic layers artificial photosynthesis CO2 reduction H2O oxidation

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The safety aspect of sodium ion batteries for practical applications

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Journal of Energy Chemistry 2024年第8期95卷 407-427,I0009页

作者： Yingshuai Wang Runqing Ou Jingjing Yang Yuhang Xin Preetam Singh Feng Wu Yumin Qian Hongcai Gao school of Materials Science&Engineering Beijing Institute of TechnologyBeijing 100081China school of Physics Beijing Institute of TechnologyBeijing 100081China Yangtze Delta Region Academy of Beijing institute of Technology Jiaxing 314019ZhejiangChina Beijing institute of Technology Chongqing Innovation Center Chongqing 401120China Department of Ceramic Engineering Indian Institute of Technology(Banaras Hindu University)VaranasiUttar Pradesh 221005India

Sodium-ion batteries(SIBs)with advantages of abundant resource and low cost have emerged as promising candidates for the next-generation energy storage ***,safety issues existing in electrolytes,anodes,and cathodes bring about frequent accidents regarding battery fires and explosions and impede the development of high-performance ***,safety analysis and high-safety battery design have become prerequisites for the development of advanced energy storage *** reported reviews that only focus on a specific issue are difficult to provide overall guidance for building high-safety *** overcome the limitation,this review summarizes the recent research progress from the perspective of key components of SIBs for the first time and evaluates the characteristics of various improvement *** orderly analyzing the root causes of safety problems associated with different components in SIBs(including electrolytes,anodes,and cathodes),corresponding improvement strategies for each component were discussed *** addition,some noteworthy points and perspectives including the chain reaction between security issues and the selection of improvement strategies tailored to different needs have also been *** brief,this review is designed to deepen our understanding of the SIBs safety issues and provide guidance and assistance for designing high-safety SIBs.

关键词： Sodium ion batteries Safety Organic electrolytes modification Solid-state electrolyte Anode bulk modification Cathode bulk design

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Lipid nanoparticles deliver mRNA to the blood-brain barrier

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Nano Research 2024年第10期17卷 9126-9134页

作者： Yanina Kuzminich Avraham Shakked Randi Calkins Sebastian Rudden Camille Jones Jessie Doan Bora Jang Elisa Schrader Echeverri Ryan Zenhausern Liming Lian David Loughrey Hannah E.Peck Rachelle Wiese Dorothy Koveal Philip J.Santangelo James E.Dahlman George C.Woodruff school of Mechanical Engineering Georgia Institute of TechnologyAtlantaGA 30332USA Parker H.Petit institute for Bioengineering and Biosciences Georgia Institute of TechnologyAtlantaGA 30332USA Wallace H.Coulter Department of Biomedical Engineering Emory University School of Medicine and Georgia Institute of TechnologyAtlantaGA 30332USA

Lipid nanoparticles(LNPs)have delivered RNA to hepatocytes in patients after intravenous *** clinical data support efforts to design LNPs that transfect cells in the central nervous system(CNS).However,delivery to the CNS has been difficult,in large part because quantifying on-target delivery alongside common off-target cell types in adult mice remains *** we report methods to isolate different cell types from the CNS,and subsequently present mRNA delivery readouts using a liver-detargeted *** data suggest that LNPs without targeting ligands can transfect cerebral endothelial cells in mice after intravenous *** the difficulty of crossing the blood-brain barrier,they also underscore the value of quantifying delivery in the CNS with cell-type resolution instead of whole-tissue resolution.

关键词： lipid nanoparticle mRNA nanomedicine central nervous system blood-brain barrier

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A Composite Ansatz for Calculation of Dynamical Structure Factor

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Chinese Physics Letters 2024年第1期41卷 92-103页

作者：张玉佩莫崇杰张平康炜 HEDPS Center for Applied Physics and Technologyand School of PhysicsPeking UniversityBeijing 100871China Beijing Computational Science Research Center Beijing 100193China institute of Applied Physics and Computational mathematics Beijing 100088China HEDPS Center for Applied Physics and Technologyand College of EngineeringPeking UniversityBeijing 100871China

We propose an ansatz without adjustable parameters for the calculation of a dynamical structure *** ansatz combines the quasi-particle Green’s function,especially the contribution from the renormalization factor,and the exchange-correlation kernel from time-dependent density functional theory together,verified for typical metals and semiconductors from a plasmon excitation regime to the Compton scattering *** has the capability to reconcile both small-angle and large-angle inelastic x-ray scattering(IXS)signals with muchimproved accuracy,which can be used as the theoretical base model,in inversely inferring electronic structures of condensed matter from IXS experimental signals *** may also be used to diagnose thermal parameters,such as temperature and density,of dense plasmas in x-ray Thomson scattering experiments.

关键词： excitation inverse verified

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Multi-source information fusion:Progress and future

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Chinese Journal of Aeronautics 2024年第7期37卷 24-58页

作者： Xinde LI Fir DUNKIN Jean DEZERT school of Automation Southeast UniversityNanjing 210008China Nanjing Center for Applied mathematics Nanjing 211135China Key Laboratory of Measurement and Control of CSE Ministry of EducationNanjing 210096China Southeast University Shenzhen Research institute Shenzhen 518063China Information Modeling and Processing Department ONERAPalaiseau 92320France

Multi-Source Information Fusion(MSIF),as a comprehensive interdisciplinary field based on modern information technology,has gained significant research value and extensive application prospects in various domains,attracting high attention and interest from scholars,engineering experts,and practitioners *** achieving fruitful results in both theoretical and applied aspects over the past five decades,there remains a lack of comprehensive and systematic review articles that provide an overview of recent development in *** light of this,this paper aims to assist researchers and individuals interested in gaining a quick understanding of the relevant theoretical techniques and development trends in MSIF,which conducts a statistical analysis of academic reports and related application achievements in the field of MSIF over the past two decades,and provides a brief overview of the relevant theories,methodologies,and application domains,as well as key issues and challenges currently ***,an analysis and outlook on the future development directions of MSIF are presented.

关键词： Multi-sensor system Information fusion Artificial intelligence Pattern recognition Human-machine integration

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Mechanism analysis of regulating Turing instability and Hopf bifurcation of malware propagation in mobile wireless sensor networks

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Chinese Physics B 2024年第6期33卷 125-140页

作者：黄习习肖敏 Leszek Rutkowski 包海波黄霞曹进德 College of Automation&College of Artificial Intelligence Nanjing University of Posts and TelecommunicationsNanjing 210023China Systems Research institute of the Polish Academy of Sciences 01-447 WarsawPoland College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China school of mathematics Southeast UniversityNanjing 210096China

A dynamical model is constructed to depict the spatial-temporal evolution of malware in mobile wireless sensor networks(MWSNs). Based on such a model, we design a hybrid control scheme combining parameter perturbation and state feedback to effectively manipulate the spatiotemporal dynamics of malware propagation. The hybrid control can not only suppress the Turing instability caused by diffusion factor but can also adjust the occurrence of Hopf bifurcation induced by time delay. Numerical simulation results show that the hybrid control strategy can efficiently manipulate the transmission dynamics to achieve our expected desired properties, thus reducing the harm of malware propagation to MWSNs.

关键词： mobile wireless sensor networks reaction-diffusion Hopf bifurcation hybrid control

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