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Nano-Bacillus Calmette-Guérin immunotherapies for improved bladder cancer treatment

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2024年第7期25卷 557-567页

作者： Sheng ZENG Shaoqiang XING Yifei zhang Haifeng WANG Qian LIU Department of Urology Tianjin First Central HospitalTianjin 300192China Department of Urology First Central Clinical CollegeTianjin Medical UniversityTianjin 300192China

Cancer immunotherapy has rapidly become the fourth mainstream treatment alternative after surgery,radiotherapy,and chemotherapy,with some promising *** aims to kill tumor cells by mobilizing or stimulating cytotoxic immune ***,the clinical applications of tumor immunotherapies are limited owing to a lack of adequate delivery pathways and high ***,nanomaterials and genetic engineering have shown great potential in overcoming these limitations by protecting the delivery of antigens,activating targeted T cells,modulating the immunosuppressive tumor microenvironment,and improving the treatment *** Calmette-Gué;rin(BCG)is a live attenuated Mycobacterium bovis vaccine used to prevent tuberculosis,which was first reported to have antitumor activity in *** therapy can activate the immune system by inducing various cytokines and chemokines,and its specific immune and inflammatory responses exert antitumor *** was first used during the 1970s as an intravesical treatment agent for bladder cancer,which effectively improved immune antitumor activity and prevented tumor *** recently,nano-BCG and genetically engineered BCG have been proposed as treatment alternatives for bladder cancer due to their ability to induce stronger and more stable immune *** this study,we outline the development of nano-BCG and genetically engineered BCG for bladder cancer immunotherapy and review their potential and associated challenges.

关键词： Bladder cancer Bacillus Calmette-Gué rin vaccine Nanocarrier Genetic engineering Immunotherapy

Accurate and efficient remaining useful life prediction of batteries enabled by physics-informed machine learning

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Journal of Energy Chemistry 2024年第4期91卷 512-521页

作者： Liang Ma Jinpeng Tian Tieling zhang Qinghua Guo Chunsheng Hu School of Mechanical MaterialsMechatronic and Biomedical EngineeringUniversity of WollongongWollongongNSW 2522Australia Department of Electrical and Electronic Engineering and Research Centre for Grid Modernization The Hong Kong Polytechnic UniversityKowloonHong Kong 999077China School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongNSW 2522Australia School of Advanced Interdisciplinary Studies Ningxia UniversityYinchuan 750000NingxiaChina

The safe and reliable operation of lithium-ion batteries necessitates the accurate prediction of remaining useful life(RUL).However,this task is challenging due to the diverse ageing mechanisms,various operating conditions,and limited measured *** data-driven methods are perceived as a promising solution,they ignore intrinsic battery physics,leading to compromised accuracy,low efficiency,and low *** response,this study integrates domain knowledge into deep learning to enhance the RUL prediction *** demonstrate accurate RUL prediction using only a single charging ***,a generalisable physics-based model is developed to extract ageing-correlated parameters that can describe and explain battery degradation from battery charging *** parameters inform a deep neural network(DNN)to predict RUL with high accuracy and *** trained model is validated under 3 types of batteries working under 7 conditions,considering fully charged and partially charged *** data from one cycle only,the proposed method achieves a root mean squared error(RMSE)of 11.42 cycles and a mean absolute relative error(MARE)of 3.19%on average,which are over45%and 44%lower compared to the two state-of-the-art data-driven methods,*** its accuracy,the proposed method also outperforms existing methods in terms of efficiency,input burden,and *** inherent relationship between the model parameters and the battery degradation mechanism is further revealed,substantiating the intrinsic superiority of the proposed method.

关键词： Lithium-ion batteries Remaining useful life Physics-informed machine learning

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基于近邻牵引算子的离散黑猩猩优化算法

控制与决策 2024年第4期39卷 1133-1141页

作者：沈孝凯张纪会郭乙运张保华青岛大学自动化学院山东青岛266071 山东省工业控制技术重点实验室山东青岛266071 青岛港国际股份有限公司山东青岛266011

针对旅行商问题的特点,提出基于近邻牵引算子的离散黑猩猩优化算法.首先,引入优质片段的概念,并结合每个群组的最优个体设计其检索方法,以提高组内学习策略的效果,根据组合优化问题特点对黑猩猩群体的狩猎过程进行离散化表示;其次,通过... 详细信息

针对旅行商问题的特点,提出基于近邻牵引算子的离散黑猩猩优化算法.首先,引入优质片段的概念,并结合每个群组的最优个体设计其检索方法,以提高组内学习策略的效果,根据组合优化问题特点对黑猩猩群体的狩猎过程进行离散化表示;其次,通过组间交流机制消除部分个体路径交叉;最后,为了克服传统的邻域搜索算子收敛慢和搜索效率低的缺点,提出一种新的邻域搜索方式——近邻牵引算子,其搜索目的更加明确、收敛更高效,并设计自适应概率扰动调控策略,以有效平衡算法的探索与开发.对30个TSP标准数据集进行实验,结果表明,所设计的离散黑猩猩优化算法求解质量高、收敛速度快,可以应用于组合优化问题求解.

关键词：离散黑猩猩优化算法优质片段近邻牵引算子自适应概率扰动调控旅行商问题

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考虑汽车队列动态特性的混合交通流特性

吉林大学学报（工学版） 2024年第4期54卷 947-958页

作者：杨秀建贾晓寒张生斌昆明理工大学交通工程学院昆明650500

针对自主汽车队列与人工驾驶车辆混合的交通流问题,考虑汽车队列自身固有的动力学特性及其与交通流的耦合作用,研究了汽车队列固有动态特性的混合交通流特性。首先建立了自主汽车队列慢化概率与队列车辆的车头时距以及队列规模之间的关... 详细信息

针对自主汽车队列与人工驾驶车辆混合的交通流问题,考虑汽车队列自身固有的动力学特性及其与交通流的耦合作用,研究了汽车队列固有动态特性的混合交通流特性。首先建立了自主汽车队列慢化概率与队列车辆的车头时距以及队列规模之间的关系模型,然后搭建了开放边界条件下汽车队列和人工驾驶车辆混合的元胞自动机交通流模型,最后进行了仿真分析。仿真结果表明,本文所建立的考虑汽车队列动态特性的混合交通流元胞自动机模型,揭示了现有模型无法反映的一些特殊的混合交通流特性;考虑汽车队列动态特性的混合交通流量会显著受到队列车头时距、队列规模等队列特征的影响,并且呈现出一定的非线性影响关系;车头时距和队列规模对混合交通流量的不利和有利影响同时存在,扩大队列规模和提高渗透率可显著改善混合交通流的流量特性,显著提升高车流密度下的道路通行能力。

关键词：交通运输规划与管理智能交通汽车队列元胞自动机混合交通流

Caffeic acid 3,4-dihydroxyphenethyl ester prevents colorectal cancer through inhibition of multiple cancer-promoting signal pathways in 1,2-Dimethylhydrazine/dextran sodium sulphate mouse model

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Journal of Traditional Chinese Medicine 2024年第1期44卷 70-77页

作者： JIN Tao ZHOU Qian SHEN Jichen zhang Zhizhong LIAN xiaoyuan College of Pharmaceutical Sciences Zhejiang UniversityHangzhou 310058China Pharmaceutical Informatics Institute College of Pharmaceutical SciencesZhejiang UniversityHangzhou 310058China Ocean College Zhoushan Campus of Zhejiang UniversityZhoushan 316021China

OBJECTIVE:To elucidate the potential feature and mechanism of the caffeic acid 3,4-dihydroxyphenethyl ester(CADPE)molecule,which can prevent colorectal cancer(CRC)in the 1,2-Dimethylhydrazine(DMH)/dextran sodium sulphate(DSS)-induced mouse ***:Institute of cancer research(ICR)male mice were injected with 20 mg/kg DMH for a *** that,2%DSS was administered in the drinking water for another 7 *** CADPE treatment was given to the DMH/DSS induced male mice at three different periods until their *** examination was used for observing the CRC development at colonic ***(IHC),blood cells smearing and crypt damage scoring methods were used for investigating the anti-inflammation feature of CADPE related to *** reversing targets searching method was applied with artificial intelligence(AI),computeraided drug designing(CADD)and Ingenuity Pathway Analysis(IPA)techniques for predicting the potential targets and mechanism of CADPE highly related to ***:The data indicated that CADPE inhibited CRC tumor development in the colitis-associated DMH/DSS induced mouse model after giving the early *** also impeded the acute inflammation by decreasing the infiltration of neutrophils significantly during the initial stage of CRC ***,our data showed that CADPE prevented CRC by blocking active sites of three pivotal protein targets including epidermal growth factor receptor(EGFR),extracellular signal-regulated kinase(ERK)and mammalian target of rapamycin(m TOR)in two major cancer development ***:CADPE effectively prevented CRC at early stage of tumor germination in the DMH/DSS mouse model highly likely due to its anti-acute inflammation characteristic and the ability of blocking EGFR,ERK and m TOR activities in two highly related CRC developing pathways.

关键词： caffeic acids colorectal neoplasms inflammation chemoprevention Sarcandra glabra

Observer-Based Adaptive Robust Precision Motion Control of a Multi-Joint Hydraulic Manipulator

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1213-1226页

作者： Zheng Chen Shizhao Zhou Chong Shen Litong Lyu Junhui zhang Bin Yao State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310027 Ocean College Zhejiang UniversityZhoushan 316021China School of Mechanical Engineering Shijiazhuang Tiedao UniversityShijiazhuang 050000 State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310027China School of Mechanical Engineering Purdue UniversityWest LafayetteIN 47907 USA

Hydraulic manipulators are usually applied in heavy-load and harsh operation ***,when faced with a complex operation,the traditional proportional-integral-derivative(PID)control may not meet requirements for high control ***-based full-state-feedback control is an effective alternative,but the states of a hydraulic manipulator are not always available and reliable in practical applications,particularly the joint angular velocity *** that it is not suitable to obtain the velocity signal directly from differentiating of position measurement,the low-pass filtering is commonly used,but it will definitely restrict the closed-loop bandwidth of the whole *** avoid this problem and realize better control performance,this paper proposes a novel observerbased adaptive robust controller(obARC)for a multi-joint hydraulic manipulator subjected to both parametric uncertainties and the lack of accurate velocity ***,a nonlinear adaptive observer is first designed to handle the lack of velocity measurement with the consideration of parametric ***,the adaptive robust control is developed to compensate for the dynamic uncertainties,and the close-loop system robust stability is theoretically proved under the observation and control ***,comparative experiments are carried out to show that the designed controller can achieve a performance improvement over the traditional methods,specifically yielding better control accuracy owing to the closed-loop bandwidth breakthrough,which is limited by low-pass filtering in fullstate-feedback control.

关键词： handle Observer filtering

Porous high-entropy rare-earth phosphate(REPO_(4),RE=La,Sm,Eu,Ce,Pr and Gd)ceramics with excellent thermal insulation performance via pore structure tailoring

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International Journal of Minerals,Metallurgy and Materials 2024年第7期31卷 1651-1658页

作者： Peixiong zhang Enhui Wang Jingjing Liu Tao Yang Hailong Wang Xinmei Hou Institute for Carbon Neutrality University of Science and Technology BeijingBeijing 100083China Liaoning Academy of Materials Shenyang 110000China Technical Support Center for Prevention and Control of Disastrous Accidents in Metal Smelting University of Science and Technology BeijingBeijing 100083China School of Materials Science Engineering Zhengzhou UniversityZhengzhou 450001China

Thermal insulation materials play an increasingly important role in protecting mechanical parts functioning at high *** this study,a new porous high-entropy(La_(1/6)Ce_(1/6)Pr_(1/6)Sm_(1/6)Eu_(1/6)Gd_(1/6))PO_(4)(HE(6RE_(1/6))PO_(4))ceramics was prepared by combining the high-entropy method with the pore-forming agent method and the effect of different starch contents(0–60vol%)on this ceramic properties was systematically *** results show that the porous HE(6RE_(1/6))PO_(4)ceramics with 60vol%starch exhibit the lowest thermal conductivity of 0.061 W·m^(-1)·K^(-1)at room temperature and good pore structure stability with a linear shrinkage of approximately1.67%.Moreover,the effect of large regular spherical pores(>10μm)on its thermal insulation performance was discussed,and an optimal thermal conductivity prediction model was *** superior properties of the prepared porous HE(6RE_(1/6))PO_(4)ceramics allow them to be promising insulation materials in the future.

关键词： porous high-entropy(La_(1/6)Ce_(1/6)Pr_(1/6)Sm_(1/6)Eu_(1/6)Gd_(1/6))PO_(4) ceramics high-entropy strategy pore-forming agent method thermal insulation material thermal conductivity

Multi-scenario Simulation and Spatial-temporal Analysis of LUCC in China's Coastal Zone Based on Coupled SD-FLUS Model

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Chinese Geographical Science 2024年第4期34卷 579-598页

作者： HOU Xiyong SONG Baiyuan zhang Xueying WANG xiaoli LI Dong Yantai Institute of Coastal Zone Research Chinese Academy of SciencesYantai 264003China Shandong Key Laboratory of Coastal Environmental Processes Yantai 264003China CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation Yantai Institute of Coastal Zone ResearchChinese Academy of SciencesYantai 264003China Shanghai Fuxiong Environmental Technology Corporation Shanghai 200433China

Increased human activities in China's coastal zone have resulted in the depletion of ecological land ***,conducting current and future multi-scenario simulation research on land use and land cover change(LUCC)is crucial for guiding the healthy and sustainable development of coastal *** dynamic(SD)-future land use simulation(FLUS)model,a coupled simulation model,was developed to analyze land use dynamics in China's coastal *** model encompasses five scenarios,namely,SSP1-RCP2.6(A),SSP2-RCP4.5(B),SSP3-RCP4.5(C),SSP4-RCP4.5(D),and SSP5-RCP8.5(E).The SD model simulates land use demand on an annual basis up to the year ***,the FLUS model determines the spatial distribution of land use for the near term(2035),medium term(2050),and long term(2100).Results reveal a slowing trend in land use changes in China's coastal zone from 2000–*** these changes,the expansion rate of construction land was the highest and exhibited an annual *** 2100,land use predictions exhibit high accuracy,and notable differences are observed in trends across *** summary,the expansion of production,living,and ecological spaces toward the sea remains *** A emphasizes reduced land resource dependence,benefiting ecological land *** B witnesses an intensified expansion of artificial *** C sees substantial land needs for living and production,while Scenario D shows coastal forest and grassland ***,in Scenario E,the conflict between humans and land *** study presents pertinent recommendations for the future development,utilization,and management of coastal areas in *** research contributes valuable scientific support for informed,long-term strategic decision making within coastal regions.

关键词： land use and land cover change(LUCC) multi-scenario simulation system dynamic-future land use simulation(SD-FLUS)model SSP-RCP scenarios model coupling China's coastal zone

Interplay between microglia and environmental risk factors in Alzheimer's disease

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Neural Regeneration Research 2024年第8期19卷 1718-1727页

作者： Miaoping zhang Chunmei Liang Xiongjin Chen Yujie Cai Lili Cui Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases Affiliated Hospital of Guangdong Medical UniversityZhanjiangGuangdong ProvinceChina

Alzheimer s disease,among the most common neurodegenerative disorders,is chara cterized by progressive cognitive *** present,the Alzheimer’s disease main risk remains genetic ris ks,but major environmental fa ctors are increasingly shown to impact Alzheimer’s disease development and ***,the most important brain immune cells,play a central role in Alzheimer’s disease pathogenesis and are considered environmental and lifestyle"sensors."Factors like environmental pollution and modern lifestyles(e.g.,chronic stress,poor dietary habits,sleep,and circadian rhythm disorde rs)can cause neuroinflammato ry responses that lead to cognitive impairment via microglial functioning and phenotypic ***,the specific mechanisms underlying interactions among these facto rs and microglia in Alzheimer’s disease are ***,we:discuss the biological effects of air pollution,chronic stress,gut micro biota,sleep patterns,physical exercise,cigarette smoking,and caffeine consumption on microglia;consider how unhealthy lifestyle factors influence individual susceptibility to Alzheimer’s disease;and present the neuroprotective effects of a healthy *** intervening and controlling these environmental risk fa ctors at an early Alzheimer’s disease stage,understanding the role of microglia in Alzheimer’s disease development,and to rgeting strategies to to rget microglia,co uld be essential to future Alzheimer’s disease treatments.

关键词： Alzheimer’s disease chronic stress environmental factor gut microbiota microglia particulate matter with diameter<2.5μm