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Food Science and Human Wellness 2024年第4期13卷 2068-2078页

作者： Hongxuan Li Shasha Cheng yuhong wang Yilin Sun Jiaxin Zhang Mingshuang Sun Chaoxin Man Yu Zhang Yujun Jiang Key Laboratory of Dairy Science Ministry of EducationCollege of Food Science and EngineeringNortheast Agricultural UniversityHarbin 150030China

Oxidative stress is one of the main ways to cause alcohol-induced liver injury,and alcoholic liver disease(ALD)has been a common health problem *** acid bacteria(LAB)is also considered as a potential treatment to alleviate alcohol-induced liver *** plantarum J26 is a LAB isolated from Chinese traditional fermented dairy products with excellent probiotic *** study aimed to establish a mice model of alcoholic liver injury through acute-on-chronic alcohol feeding and to study the alleviating effect of pre-intake of *** J26 on alcohol-induced oxidative liver injury and focus on its potential mechanism of alleviating *** results showed that pre-intake of *** J26 could improve liver pathological changes,reduce lipid accumulation,increase mitochondrial ATP and mitochondrial(mtDNA)levels,and alleviate liver *** addition,pre-intake *** J26 can improve the level of short-chain fatty acids(SCFAs)in the intestines in mice,short chain fatty acids can be used as a signaling molecule activation of nuclear factor E2-related factor 2(Nrf2)signaling pathway to alleviate liver oxidative stress,and maintain mitochondrial homeostasis by regulating the expression of genes related to mitochondrial dynamics and autophagy,thereby reducing cell apoptosis to alleviate alcohol-induced oxidative liver injury.

关键词： Alcoholic liver disease Probiotics Nuclear factor E2-related factor 2(Nrf2) Oxidative stress Short-chain fatty acids

Surface Defect Detection Based on Improved Cascade Mask RCNN

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Surface Defect Detection Based on Improved Cascade Mask RCNN

Deep Koopman Operator for Model Predictive Control

第35届中国过程控制会议

作者： BingYan Bian yuhong wang College of Control Science and Engineering China University of Petroleum

Surface defect detection based on deep learning has emerged as the most suitable approach for this task, exerting a profound and direct impact on the field of visual inspection. To address the issues of slow detection speed and low accuracy in traditional methods, we employ the Swin Transformer network as the backbone network to enhance its capability in extracting deep feature information. Additionally, a Double Space-scale Feature Pyramid Network(DSFPN) structure is constructed to improve defect detection across various sizes. Moreover, we introduce EHIoU Loss which incorporates distance and relative position information between the detection box and target box to further enhance accuracy. Finally, our proposed improvement is validated using NEU-DET dataset, demonstrating significant advantages over other methods.

关键词： deep learning defect detection Swin Transformer NEU-DET machine vision

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Deep Koopman Operator for Model Predictive Control

Widespread incomplete lineage sorting and introgression shaped adaptive radiation in the Gossypium genus

第35届中国过程控制会议

作者： Tengfei Li yuhong wang College of Control Science and Engineering China University of Petroleum

The paper introduces a Koopman operator-based method designed to expedite Model Predictive Control(MPC) for nonlinear systems, which are traditionally burdened by the need to solve complicated optimization problems. By leveraging the Koopman operator theory, the research transforms nonlinear dynamics into a linear framework in a higher-dimensional space, even considering system inputs. A deep learning architecture is then proposed to infer the necessary Koopman embeddings and operator, incorporating residual connections to refine the model's accuracy. The derived linear model underpins the development of an MPC controller, which is empirically tested on an anaerobic digestion reactor. Results confirm that the method markedly enhances computational efficiency in nonlinear MPC applications, demonstrating potential for broader implementation in complex control systems.

关键词： Nonlinear model predictive control Koopman operator deep neural network

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Plant Communications 2024年第2期5卷 185-197页

作者： Yanchao Xu Yangyang Wei Zhongli Zhou Xiaoyan Cai Scott ABoden Muhammad Jawad Umer Luqman BSafdar Yuling Liu Dingsha Jin Yuqing Hou yuhong wang Sarah Brooke Wall Kunbo wang Shuxun Yu Baohong Zhang Renhai Peng Fang Liu National Key Laboratory of Cotton Bio-breeding and Integrated Utilization Institute of Cotton ResearchChinese Academy of Agricultural SciencesAnyang 455000China College of Plant Science and Technology Huazhong Agricultural UniversityWuhan 40070China College of Biology and Food Engineering Anyang Institute of TechnologyAnyang 455000China National Nanfan Research Institute(Sanya) Chinese Academy of Agricultural SciencesSanya 572024China School of Agriculture Food and WineUniversity of AdelaideAdelaideSA 5005Australia Sanya Institute Hainan Academy of Agricultural SciencesSanya 572000China Department of Biology East Carolina UniversityGreenvilleNC 27858USA School of Agricultural Sciences Zhengzhou UniversityZhengzhou 450001China

Cotton(Gossypium)stands as a crucial economic crop,serving as the primary source of naturalfiber for the textile ***,the evolutionary mechanisms driving speciation within the Gossypium genus remain *** this investigation,we leveraged 25 Gossypium genomes and introduced four novel assem-blies—***,***,***,and ***(Gklo)—to delve into the speciation history of this ***,we encountered intricate phylogenies potentially stemming from *** complexities are further compounded by incomplete lineage sorting(ILS),a factor likely to have been instrumental in shaping the swift diversification of *** focus subsequently shifted to the rapid radiation episode during a concise period in Gossypium *** a recently diverged lineage comprising ***,Gklo,and ***,we constructed afinely detailed ILS ***,this analysis revealed the non-random distribution of ILS regions across the reference Gklo ***,we identified signs of robust natural selection influencing specific ILS *** variations per-taining to speciation emerged between the closely related sister species Gklo and ***-mately 15.74%of speciation structural variation genes and 12.04%of speciation-associated genes were esti-mated to intersect with ILS *** enrich our understanding of the role of ILS in adaptive radiation,shedding fresh light on the intricate speciation history of the Gossypium genus.

关键词： cotton speciation Gossypium genus incomplete lineage sorting ILS phylogenetic analysis gene tree resolution

Luteolin promotes neuronogenesis in hippocampus of chronic unpredictable mild stress rats and primary hippocampus of fetal rats

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Journal of Traditional Chinese Medicine 2024年第4期44卷 670-679页

作者： LIU Tongtong ZHANG Xi YANG Hui LIN Xiaoyuan LIU Jian ZHANG Xiuli GUO Dongwei ZHAO Hongqing ZOU Manshu LEI Chang LONG Hongping LUO Yan XIANG Yun GE Jinwen wang yuhong MENG Pan Institute of Innovation and Applied Research in Chinese Medicine Hunan University of Chinese MedicineChangsha 410208China the Second People's Hospital of Hunan Province Changsha 410007China The First Affiliated Hospital Hunan University of Chinese MedicineChangsha 410007China Hunan Academy of Chinese Medicine Changsha 410013China

OBJECTIVE:To investigate the effects of luteolin on chronic unpredictable mild stress(CUMS)-induced depressive rats and corticosterone(CORT)-induced depressive primary hippocampal neurons,and to elucidate the mechanism behind the ***:The antidepressant mechanism of luteolin was studied by using CUMS rat model and primary hippocampal neurons in fetal *** vivo,novelty suppressed feeding,open-field and sucrose preference tests as well as Morris water maze were *** content of brain derived neurotrophic factor(BDNF),5-hydroxytryptamine(5-HT),norepinephrine(NE),and dopamine(DA)in serum were detected by enzyme-linked immunosorbent *** mechanisms of luteolin were explored based on neurotrophin and hippocampal neurogenesis,and *** of the septotemporal axis in hippocampus was assayed using the 5-bromo-2-deoxyuridine(BrdU),the expression of BDNF,neurotrophin-3(NT-3),and nerve growth factor(NGF)in hippocampus dentate gyrus region were measured by *** vitro,BDNF,NT-3,tropomyosin receptor kinase B(TrkB),and phosphorylated cyclic adenosine monophosphate responsive element binding protein(p-CREB)were detected through the high content analysis(HCA)to investigate neurotrophin and ***:Induction of CUMS in rats induced depressive symptoms,while luteolin significantly enhanced sucrose consumption,decreased feeding latency,increased locomotor activity,escape latency,distance of target quadrant and regulated the content of depressive-like *** analysis revealed that luteolin increased the abundance of new born neurons that had been labeled with BrdU,BrdU+neuronal nuclear antigen,and BrdU+doublecortin in septo-temporal axis of S2(mid-septal)and T3(mid-temporal).Moreover,expression of BDNF,NT-3,and NGF increased significantly in the septo-temporal axis of S2 and *** showed increased expression of BDNF,NT-3,TrkB and p-CREB in primary hippocampal ***:The results provided direct ev

关键词： fetal rats Survival

守正与创新:新时代“枫桥经验”引领基层社会治理法治化变革

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青海社会科学 2024年第1期 148-160页

作者：王玉红王喆西北师范大学法学院甘肃政法大学马克思主义学院党委

新时代“枫桥经验”根植于基层社会,是人民群众解决社会矛盾、实现自我管理的创造性智慧结晶,也是中华优秀传统文化在当代社会的发展与升华,着眼于法治建设本土资源与现代制度文明的内在统一,在基层社会治理领域呈现顽强的生命力和不竭... 详细信息

新时代“枫桥经验”根植于基层社会,是人民群众解决社会矛盾、实现自我管理的创造性智慧结晶,也是中华优秀传统文化在当代社会的发展与升华,着眼于法治建设本土资源与现代制度文明的内在统一,在基层社会治理领域呈现顽强的生命力和不竭的创造力。中国式现代化进程充满机遇与挑战,新时代“枫桥经验”必须被动态理解为综合经验,坚持党的领导、政府推动与群众自治三者统一,制度设计应充分考虑特殊的社会环境对法律规则的影响,有效化解基层社会矛盾,培育自上而下的民主自治传统与土壤,通过以社会治理为问题导向的法治创新和以法治为目标导向的社会治理创新引领基层社会法治变革,推动中国特色现代法治建设。

关键词： “枫桥经验” 基层社会治理习近平法治思想基层民主自治

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基于PSTSO多目标优化储能系统功率分配

电力系统及其自动化学报 2024年第8期36卷 13-22页

作者：王雨虹梁策付华辽宁工程技术大学电气与控制工程学院葫芦岛125105

为提高电池储能系统的功率分配合理性,提出基于状态优先的金枪鱼群优化PSTSO(priority of status tuna swarm optimization)算法的储能系统功率分配策略。首先设定了3个储能系统功率分配的评价指标,其次建立储能系统的运行成本、储能单... 详细信息

为提高电池储能系统的功率分配合理性,提出基于状态优先的金枪鱼群优化PSTSO(priority of status tuna swarm optimization)算法的储能系统功率分配策略。首先设定了3个储能系统功率分配的评价指标,其次建立储能系统的运行成本、储能单元的健康状态SOH(state-of-health)损失、储能系统的荷电状态SOC(state-of-charge)一致性的数学模型,最后在满足系统功率平衡和SOC上、下限约束条件下,采用PSTSO算法进行功率分配。算例分析结果表明,所提策略可以有效减少电池单元充放电次数,降低电池单元的容量损耗,且保证储能系统的SOC一致性好。

关键词：锂离子电池储能系统荷电状态功率分配多目标优化

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基于灰色-神经网络的民机需求组合预测

系统工程与电子技术 2024年第5期46卷 1665-1672页

作者：庆豪方志耕王育红邱玺睿南京航空航天大学经济与管理学院江苏南京211106 中国商用飞机有限责任公司上海飞机设计研究院上海201210

民机数量是反映民航运输能力的重要标志,而对民机数量进行预测,能够研究分析未来民航业的发展趋势。本文重点研究了民机需求预测的模型架构和实施方法,首先以2013年到2020年民机数量和其他关键因素作为原始样本,然后把2021年的数据作为... 详细信息

民机数量是反映民航运输能力的重要标志,而对民机数量进行预测,能够研究分析未来民航业的发展趋势。本文重点研究了民机需求预测的模型架构和实施方法,首先以2013年到2020年民机数量和其他关键因素作为原始样本,然后把2021年的数据作为检验样本,最后通过构建灰色神经网络组合预测模型对未来的民机需求进行预测。从预测结果来看,灰色模型GM(1,1)与反向传播(back propagation,BP)神经网络模型结合效果较好,组合模型预测精度高,充分证明了该模型的有效性和可行性,同时预测结果对分析未来航空运输情况也具有一定的参考意义。

关键词：民机神经网络组合预测

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基于改进极模变换的柔性直流输电系统断线故障分析与辨识

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电力系统自动化 2024年第5期48卷 137-145页

作者：郑宗生张巍廖建权周念成王渝红王强钢四川大学电气工程学院四川省成都市610000 输配电装备及系统安全与新技术国家重点实验室(重庆大学) 重庆市400044

断线故障的故障特性分析是制定断线保护方案的基础。首先,文中以金属回线双极直流系统为对象,根据直流系统中模块化多电平换流器(MMC)在故障前后的状态变化,基于叠加定理得出MMC在直流系统发生故障时的等效电路模型,构建直流系统断线故... 详细信息

断线故障的故障特性分析是制定断线保护方案的基础。首先,文中以金属回线双极直流系统为对象,根据直流系统中模块化多电平换流器(MMC)在故障前后的状态变化,基于叠加定理得出MMC在直流系统发生故障时的等效电路模型,构建直流系统断线故障下的等效电路。然后,通过改进极模变换矩阵推导其在不同故障类型下的复合模量等值网络,分析不同断线故障的模量特征;在此基础上,利用2模和0模电流的变化量构建断线故障类型识别的相平面,实现断线故障的分类;同时,提出基于1模电流变化量的区内外断线故障辨识流程。最后,在PSCAD/EMTDC中建立了仿真模型,验证了所提保护方法的快速性和可靠性。

关键词：柔性直流断线故障极模变换模块化多电平换流器

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因明学蒙古文经书概述

中国蒙古学（蒙文） 2024年第3期52卷 122-133,214页

作者：王玉红呼和浩特民族学院 010051

因明学既是古印度“五明”之一,也是藏传佛教“十明”之一。随着印度、西藏佛教传入蒙古地区后蒙古因明学得以形成和发展。蒙古文写成的因明学经书文献众多,是蒙古因明学主要的研究对象。蒙古文《大藏经》是藏文《大藏经》的蒙古文译刻... 详细信息

因明学既是古印度“五明”之一,也是藏传佛教“十明”之一。随着印度、西藏佛教传入蒙古地区后蒙古因明学得以形成和发展。蒙古文写成的因明学经书文献众多,是蒙古因明学主要的研究对象。蒙古文《大藏经》是藏文《大藏经》的蒙古文译刻本,是蒙古佛教典籍的总集,由《甘珠尔》(佛语部)和《丹珠尔》(论疏部)两大部组成,蒙古文《丹珠尔》是蒙古因明研究的重要文献。《智慧之鉴》是佛经典籍《丹珠尔》藏蒙翻译的依据辞典,也是研究蒙古因明术语的主要工具书。《阿拉善丹达拉然巴因明全集》为蒙古因明奠基者阿拉善丹达拉然巴阿旺丹德尔的具有佛教哲学思想和佛教逻辑思想的著作,也是第一个出版的蒙古因明经文专著。《蒙古因明学概要》是蒙古因明研究学者图·乌力吉编著的硕士研究生蒙古因明学课程必读书。本文从蒙古因明学研究工作的需要,也为了理解其因明学话语、因明宗法理论,解读其因明逻辑的概念范畴,对蒙古文《丹珠尔》中的68篇因明经书,《智慧之鉴》第6章的因明学要义,《阿拉善丹达拉然巴因明全集》中的8篇经文以及《蒙古因明学概要》等蒙古因明经典著作进行了概述。

关键词：因明学蒙古因明经书