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Molecular Plant 2024年第1期17卷 4-7页

作者： Mengqiu Song Wumei Wang Chun Ji Shengnan Li wei Liu Xiaoyu Hul Anhui Feng Shuang Ruan Shiyun Du huan Wang Kui Dai Longbiao Guo Qian Qian Hongqi Si Xingming Hu College of Agronomy Anhui Agricultural UniversityHefeiAnhui 230036China State Key Laboratory of Rice Biology China National Rice Research InstituteHangzhouZhejiang 310006China Rice Research Institute Anhui Academy of Agricultural SciencesHefeiAnhui 230031China Jiangxi Modern Seed Industry Co.NanchangJiangxi 330026China

Dear Editor,Utilization of heterosis is fundamental to modern agricultural improvement and contributes significantly to food security and agricultural development(Ouyang et al.,2022).However,heterosis of F,hybrids cannot be stably ***,or asexual reproduction through seeds,offers the potential for the fixation of heterosis in F,hybrids and the formation of clonal offspring,which could have considerable implications for plant breeding and agriculture(Schmidt,2020).But naturally occurring apomixis has never been found in major ***,synthetic apomixis has been successfully generated by inducing incomplete meiotic development combined with parthenogenesis development to produce cloned rice(Oryza sativa)seeds(Khanday et al.,2019;Wang et al.,2019;Vernet et al.,2022;wei et al.,2023).

关键词： sativa fertility breeding

Targeting autophagy overcomes cancer-intrinsic resistance to CAR-T immunotherapy in B-cell malignancies

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Cancer Communications 2024年第3期44卷 408-432页

作者： Lu Tang huan Zhang Fen Zhou Qiuzhe wei Mengyi Du Jianghua Wu Chenggong Li Wenjing Luo Jie Zhou Xindi Wang Zhaozhao Chen Yinqiang Zhang Zhongpei huang Zhuolin Wu Yuxi Wen Huiwen Jiang Danying Liao Haiming Kou wei Xiong heng Mei Yu Hu Institute of hematology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiP.R.China Hubei Clinical Medical Center of Cell Therapy For Neoplastic Disease WuhanHubeiP.R.China Key Laboratory of Biological Targeted Therapy the Ministry of EducationWuhanHubeiP.R.China Department of Thoracic Surgery Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiP.R.China Department of Pediatrics Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiP.R.China Hubei Key Laboratory of Biological Targeted Therapy Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiP.R.China

Background:Chimeric antigen receptor T(CAR-T)therapy has substantially revolutionized the clinical outcomes of patients with hematologic malignan-cies,but the cancer-intrinsic mechanisms underlying resistance to CAR-T cells remain yet to be fully *** study aims to explore the molecular deter-minants of cancer cell sensitivity to CAR-T cell-mediated killing and to provide a better understanding of the underlying mechanisms and potential modulation to improve clinical ***:The human whole-genome CRISPR/Cas9-based knockout screening was conducted to identify key genes that enable cancer cells to evade CD19 CAR-T-cell-mediated *** in vitro cytotoxicity assays and evaluation of tumor tissue and bone marrow specimens were further conducted to confirm the role of the key genes in cancer cell susceptibility to CAR-T *** addition,the specific mechanisms influencing CAR-T cell-mediated cancer clearance were elucidated in mouse and cellular ***:The CRISPR/Cas9-based knockout screening showed that the enrich-ment of autophagy-related genes(ATG3,BECN1,and RB1CC1)provided protec-tion of cancer cells from CD19 CAR-T cell-mediated *** findings were further validated by in vitro cytotoxicity assays in cells with genetic and pharmacological inhibition of ***,higher expression of the three autophagy-related proteins in tumor samples was correlated with poorer respon-siveness and worse survival in patients with relapsed/refractory B-cell lymphoma after CD19 CAR-T *** RNA sequencing analysis of bone marrow samples from B-cell leukemia patients also suggested the clinical relevance of autophagy to the therapeutic response and relapse after CD19 CAR-T cell *** inhibition of autophagy and knockout of RB1CC1 could dramatically sensitize tumor cells to CD19 CAR-T cell-mediated killing in mouse models of both B-cell leukemia and ***,our study revealed that cancer-intrinsic

关键词： CAR-T resistance Autophagy Immune evasion Apoptosis Chemotaxis

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并联卷积神经网络的近红外光谱定量分析模型

光谱学与光谱分析 2024年第6期44卷 1627-1635页

作者：于水宦克为刘小溪王磊长春理工大学物理学院吉林长春130022 吉林省科学技术信息研究所吉林长春130033

近红外光谱分析已成为工农业生产过程质量监控领域中不可或缺的重要分析手段之一,在食品、农业、医药等定性定量分析领域被广泛应用。预测精度高、运行速度快、泛化能力强的近红外光谱预测模型可用于不同物质的定性定量分析。但由于近... 详细信息

近红外光谱分析已成为工农业生产过程质量监控领域中不可或缺的重要分析手段之一,在食品、农业、医药等定性定量分析领域被广泛应用。预测精度高、运行速度快、泛化能力强的近红外光谱预测模型可用于不同物质的定性定量分析。但由于近红外光谱数据量的激增,传统的近红外光谱建模方法已经出现明显的不足。随着人工智能技术的不断发展,深度学习算法在近红外光谱分析领域得到了广泛应用。提出了一种基于并联卷积神经网络的近红外光谱定量分析模型(PaBATunNet)。该模型由1个一维卷积层、1个并联卷积模块(Module)、1个展平层、4个全连接层和1个参数调节器(PR)组成,Module模块包括5个子模块分别对光谱数据进行线性及非线性多维特征提取,并通过Concatenate函数将提取后的光谱特征数据进行拼接,PR模块通过调节优化PaBATunNet模型参数,提高模型预测精度。基于Gard-CAM思想给出了PaBATunNet模型高贡献度特征波长,增加了PaBATunNet模型的可解释性。以谷物、柴油、啤酒、牛奶四组公开的近红外光谱数据为例,将PaBATunNet模型的预测结果与偏最小二乘(PLS)、主成分回归(PCR)、支持向量机(SVM)和BP神经网络(BP)模型的预测结果进行比较。结果表明,与PLS相比,PaBATunNet模型在谷物、柴油、啤酒、牛奶数据集的预测精度上分别提高了30.0%、40.7%、43.0%、52.8%;与PCR相比,PaBATunNet模型的预测精度分别提高了28.8%、35.9%、40.8%、52.2%;与SVM相比,PaBATunNet模型的预测精度分别提高了45.5%、37.4%、45.3%、54.7%;与BP相比,PaBATunNet模型的预测精度分别提高了7.9%、32.4%、90.1%、62.0%。基于并联卷积神经网络的近红外光谱建模方法相比于传统建模方法解决了模型预测精度低、运行时间长、泛化能力差以及可解释性不强等问题,可有效应用于工农业生产中不同物质的定量分析,为建立快速、无损、高精度的近红外光谱定量分析模型提供了科学基础。

关键词：近红外光谱深度学习并联卷积神经网络定量分析预测模型

低膨胀系数铸铁的多层激光熔覆分析及高温氧化磨损行为研究

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表面工程与再制造 2024年第1期24卷 59-60页

作者： Changyao Ouyang Rui Wang Chunjiang Zhao Runze wei huan Li Rui Deng Qiaofeng Bai Yingliang Liu School of Mechanical Engineering Taiyuan University of Science and Technology Taiyuan 030024 China School of Mechanical and Equipment Engineering Hebei University of Engineering Handan 056038 China School of Intelligent Industry Shanxi Institute of Electronic Technology Linfen 041000 China Shuozhou Jinhua Industrial Co. Ltd. Shuozhou 036000 China

激光熔覆是铸铁零件修复和强化的关键工艺之一。为进一步提高激光熔覆在铸铁上的应用,为其表面熔覆提供可行的技术途径。本文在发动机缸体常用的铸铁材料球墨铸铁和灰铸铁表面熔覆不同的合金粉末。分析了铸铁表面多种粉末的多层熔覆层,... 详细信息

激光熔覆是铸铁零件修复和强化的关键工艺之一。为进一步提高激光熔覆在铸铁上的应用,为其表面熔覆提供可行的技术途径。本文在发动机缸体常用的铸铁材料球墨铸铁和灰铸铁表面熔覆不同的合金粉末。分析了铸铁表面多种粉末的多层熔覆层,探讨了Fe基涂层在高温下的氧化磨损行为。

关键词：激光熔覆高温氧化球墨铸铁铸铁零件灰铸铁多层熔覆低膨胀系数铸铁材料

氮掺杂的有序介孔碳负载钴纳米颗粒用于脂肪酰胺的催化加氢

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分子催化（中英文） 2024年第3期38卷 208-214,I0001页

作者：郑欢高玮刘泽邦何林中国科学院兰州化学物理研究所羰基合成与选择氧化国家重点实验室甘肃兰州730000 中国科学院大学北京100049

酰胺的选择性加氢可以作为有机胺的一种生产路径.传统的酰胺加氢多相催化体系多采用贵金属催化剂和高压氢气,存在成本较高的问题.我们采用离子交换热解法制备了氮掺杂有序介孔碳负载钴纳米颗粒催化剂(Co/MNC),该催化剂在脂肪族酰胺加氢... 详细信息

酰胺的选择性加氢可以作为有机胺的一种生产路径.传统的酰胺加氢多相催化体系多采用贵金属催化剂和高压氢气,存在成本较高的问题.我们采用离子交换热解法制备了氮掺杂有序介孔碳负载钴纳米颗粒催化剂(Co/MNC),该催化剂在脂肪族酰胺加氢反应中表现出良好的活性和选择性.结果表明,负载型Co催化剂在500℃下热解后,Co纳米颗粒分散均匀,催化剂表面同时存在金属Co^(0)和具有路易斯酸性的CoO_(x),催化性能明显优于Co/MNC-600和Co/MNC-700.

关键词：氮掺杂有序介孔碳钴纳米颗粒加氢脂肪酰胺

Bifurcation analysis and control study of improved full-speed differential model in connected vehicle environment

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Chinese Physics B 2024年第7期33卷 245-266页

作者：艾文欢雷正清李丹洋方栋梁刘大为 College of Computer Science and Engineering Northwest Normal UniversityLanzhou 730070China College of Electrical Engineering Lanzhou Institute of TechnologyLanzhou 730050China

In recent years, the traffic congestion problem has become more and more serious, and the research on traffic system control has become a new hot spot. Studying the bifurcation characteristics of traffic flow systems and designing control schemes for unstable pivots can alleviate the traffic congestion problem from a new perspective. In this work, the full-speed differential model considering the vehicle network environment is improved in order to adjust the traffic flow from the perspective of bifurcation control, the existence conditions of Hopf bifurcation and saddle-node bifurcation in the model are proved theoretically, and the stability mutation point for the stability of the transportation system is found. For the unstable bifurcation point, a nonlinear system feedback controller is designed by using Chebyshev polynomial approximation and stochastic feedback control method. The advancement, postponement, and elimination of Hopf bifurcation are achieved without changing the system equilibrium point, and the mutation behavior of the transportation system is controlled so as to alleviate the traffic congestion. The changes in the stability of complex traffic systems are explained through the bifurcation analysis, which can better capture the characteristics of the traffic flow. By adjusting the control parameters in the feedback controllers, the influence of the boundary conditions on the stability of the traffic system is adequately described, and the effects of the unstable focuses and saddle points on the system are suppressed to slow down the traffic flow. In addition, the unstable bifurcation points can be eliminated and the Hopf bifurcation can be controlled to advance, delay, and disappear,so as to realize the control of the stability behavior of the traffic system, which can help to alleviate the traffic congestion and describe the actual traffic phenomena as well.

关键词： bifurcation analysis vehicle queuing bifurcation control Hopf bifurcation

Safety,immunogenicity and protective effect of sequential vaccination with inactivated and recombinant protein COVID-19 vaccine in the elderly:a prospective longitudinal study

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Signal Transduction and Targeted Therapy 2024年第6期9卷 2738-2747页

作者： Hong-Hong Liu Yunbo Xie Bao-Peng Yang huan-Yue Wen Peng-Hui Yang Jin-E Lu Yan Liu Xi Chen Meng-Meng Qu Yang Zhang wei-Guo Hong Yong-Gang Li Junliang Fu Fu-Sheng Wang Out-patient Department of Day Diagnosis and Treatment The Fifth Medical Center of Chinese PLA General HospitalBeijing 100039China Senior Department of Infectious Diseases The Fifth Medical Center of Chinese PLA General HospitalNational Clinical Research Center for Infectious DiseasesBeijing 100039China Chinese PLA Medical School Chinese PLA General HospitalBeijing 100039China Hunyuan County People’s Hospital Datong 037499 Shanxi ProvinceChina Faculty of hepato-Pancreato-Biliary Surgery Institute of Hepatobiliary SurgeryThe First Medical CenterChinese PLA General HospitalBeijing 100853China

The safety and efficacy of COVID-19 vaccines in the elderly,a high-risk group for severe COVID-19 infection,have not been fully *** clarify these issues,this prospective study followed up 157 elderly and 73 young participants for 16 months and compared the safety,immunogenicity,and efficacy of two doses of the inactivated vaccine BBIBP-CorV followed by a booster dose of the recombinant protein vaccine *** results showed that this vaccination protocol was safe and tolerable in the *** administering two doses of the BBIBP-CorV,the positivity rates and titers of neutralizing and anti-RBD antibodies in the elderly were significantly lower than those in the young *** the ZF2001 booster dose,the antibody-positive rates in the elderly were comparable to those in the young;however,the antibody titers remained ***,age,and underlying diseases were independently associated with vaccine immunogenicity in elderly *** pseudovirus neutralization assay showed that,compared with those after receiving two doses of BBIBP-CorV priming,some participants obtained immunological protection against BA.5 and BF.7 after receiving the ZF2001 *** infection symptoms last longer in the infected elderly and pre-infection antibody titers were negatively associated with the severity of post-infection *** antibody levels in the elderly increased significantly after breakthrough infection but were still lower than those in the *** data suggest that multiple booster vaccinations at short intervals to maintain high antibody levels may be an effective strategy for protecting the elderly against COVID-19.

关键词： vaccination vaccine doses

Biomimetic natural biomaterials for tissue engineering and regenerative medicine:new biosynthesis methods,recent advances,and emerging applications

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Military Medical Research 2024年第1期11卷 50-79页

作者： Shuai Liu Jiang-Ming Yu Yan-Chang Gan Xiao-Zhong Qiu Zhe-Chen Gao huan Wang Shi-Xuan Chen Yuan Xiong Guo-Hui Liu Si-En Lin Alec McCarthy Johnson V.John Dai-Xu wei Hong-Hao Hou Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering the Fifth Affiliated HospitalSchool of Basic Medical ScienceSouthern Medical UniversityGuangzhou 510900China Department of Orthopedics Tongren HospitalShanghai Jiao Tong UniversityShanghai 200336China The Eighth Affiliated Hospital Sun Yat-Sen UniversityShenzhen 518033GuangdongChina Engineering Research Center of Clinical Functional Materials and Diagnosis&Treatment Devices of Zhejiang Province Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou 325011ZhejiangChina Department of Orthopedics Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Department of Orthopaedics and Traumatology Faculty of Medicinethe Chinese University of Hong KongHong Kong SAR 999077China Department of Functional Materials Terasaki Institute for Biomedical InnovationLos AngelesCA 90064USA Mary&Dick Holland Regenerative Medicine Program College of MedicineUniversity of Nebraska Medical CenterOmahaNE 68130USA Zigong Affiliated Hospital of Southwest Medical University Zigong Psychiatric Research CenterZigong Institute of Brain ScienceZigong 643002SichuanChina Key Laboratory of Resource Biology and Biotechnology in Western China Ministry of EducationSchool of MedicineDepartment of Life Sciences and MedicineNorthwest UniversityXi’an 710127China

Biomimetic materials have emerged as attractive and competitive alternatives for tissue engineering(TE)and regenerative *** contrast to conventional biomaterials or synthetic materials,biomimetic scaffolds based on natural biomaterial can offer cells a broad spectrum of biochemical and biophysical cues that mimic the in vivo extracellular matrix(ECM).Additionally,such materials have mechanical adaptability,micro-structure interconnectivity,and inherent bioactivity,making them ideal for the design of living implants for specific applications in TE and regenerative *** paper provides an overview for recent progress of biomimetic natural biomaterials(BNBMs),including advances in their preparation,functionality,potential applications and future *** highlight recent advances in the fabrication of BNBMs and outline general strategies for functionalizing and tailoring the BNBMs with various biological and physicochemical characteristics of native ***,we offer an overview of recent key advances in the functionalization and applications of versatile BNBMs for TE ***,we conclude by offering our perspective on open challenges and future developments in this rapidly-evolving field.

关键词： Biomimic Scaffold Biosynthesis Natural biomaterial Tissue engineering

融合交通态势修正的台风灾害后多维度智能调拨策略

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电力自动化设备 2024年第5期44卷 127-134页

作者：侯慧徐海峰朱韶华魏瑞增王磊何浣武汉理工大学自动化学院湖北武汉430070 广东电网有限责任公司电力科学研究院广东省电力装备可靠性重点实验室广东广州510080

针对台风灾害后交通信息不确定、调拨策略考虑维度不足等问题,提出融合交通态势修正的台风灾害后多维度智能调拨策略。采用历史交通态势数据拟合道路通行时间概率分布,并基于拉丁超立方采样对交通态势进行随机抽样,以计算更准确的道路... 详细信息

针对台风灾害后交通信息不确定、调拨策略考虑维度不足等问题,提出融合交通态势修正的台风灾害后多维度智能调拨策略。采用历史交通态势数据拟合道路通行时间概率分布,并基于拉丁超立方采样对交通态势进行随机抽样,以计算更准确的道路通行时间。考虑交通、电网、用户等多维度,以抢修队伍、抢修物资、应急发电车等作为调拨主体进行台风灾害后抢修调拨,提出考虑调拨距离、恢复时间、失负荷量最优的多维智能调拨策略,利用模糊隶属度函数求取帕累托前沿最优调拨方案。根据2018年台风“山竹”下的珠海市数据验证调拨策略的有效性。算例结果表明所提多维度智能调拨策略能有效缩短台风灾害后恢复进程,提升电网防灾减灾能力。

关键词：交通态势网电网抢修调拨应急发电车多维调拨主体台风灾害

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基于MTF变换的拉曼光谱和卷积神经网络的海水微塑料识别方法研究

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光谱学与光谱分析 2024年第9期44卷 2420-2427页

作者：张蔚冯巍巍蔡宗岐王焕卿闫奇王清哈尔滨工程大学烟台研究院山东烟台264000 中国科学院海岸带环境过程与生态修复重点实验室(烟台海岸带研究所) 山东烟台264003 中国科学院大学北京100049

微塑料作为一种新型污染物,引起的污染问题在当今越发受到研究人员的关注。拉曼光谱有着无损样品,光谱特征峰位有代表性,便于识别样品种类的优点,一直以来是生物化学分析领域热门的检测方法之一。深度学习近年在特征提取、目标检测等领... 详细信息

微塑料作为一种新型污染物,引起的污染问题在当今越发受到研究人员的关注。拉曼光谱有着无损样品,光谱特征峰位有代表性,便于识别样品种类的优点,一直以来是生物化学分析领域热门的检测方法之一。深度学习近年在特征提取、目标检测等领域的发展成就引人瞩目。针对准确高效的微塑料检测方法问题,探索了基于马尔可夫变迁场(MTF)变换的拉曼光谱和卷积神经网络的微塑料识别可行性。采集了11种微塑料样品的拉曼光谱,每种样品采集100条光谱,并通过光谱平移、添加噪声、光谱叠加等方式数据强化扩充了光谱数据集,利用MTF将一维拉曼光谱数据转换为彩色二维图像,获得二维图像形式的光谱数据集。设计一种主体为多个小尺寸卷积核的卷积神经网络(SSMKB-CNN)模型,包括1个输入层、6个卷积层、2个池化层、1个平坦层、2个全连接层与1个输出层。选择Dropout与带权重衰减的自适应矩估计优化器以避免过拟合现象,采用阶梯式学习速率保证模型充分习得数据深层特征。分类性能的评价标准采用混淆矩阵、精确率、召回率、F1分数与整体准确率。模型的分类结果与基于二维图像光谱数据集的AlexNet、VGG16和ResNet50三个深度卷积神经网络模型和基于一维光谱数据集的随机森林(RF)、K-最邻近(KNN)和三种核函数(rbf、Linear、Poly)的支持向量机(SVM)机器学习分类器的分类结果进行对比。通过分析训练曲线及混淆矩阵的分类结果,四种CNN模型的损失与准确曲线走势平稳,均能达到良好的训练效果,其中提出的SSMKB-CNN模型准确率达到了97.04%,综合精确率、召回率和F1分数分别为97.05%、95.06%和97.02%,均明显优于用于比较的另外三种经典神经网络模型以及三种机器学习分类器。一轮训练时长为9s,训练时间少于三种CNN模型,综合分类性能最佳。实验结果表明,基于结合MTF变换的拉曼光谱的SSMKB-CNN模型能够准确高效地提取光谱特征并作出种类预测,利用拉曼光谱实现微塑料样品的定性识别,可以为海水中微塑料实际样品的准确客观的识别技术提供方法新思路参考。

关键词：马尔可夫变迁场拉曼光谱微塑料神经网络