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Chinese Journal of Natural Medicines 2024年第5期22卷 455-465页

作者： YANG Yao TONG Jing XIE Xianshun CAO Hong FU yong luo yong LIU Shan CHEN Wen YANG Ning Hengyang Medical School University of South ChinaHengyang 421200China Emergency Department Hengyang Medical SchoolThe Second Affiliated HospitalUniversity of South ChinaHengyang 421200China Hengyang Medical School The Second Affiliated HospitalUniversity of South ChinaHengyang 421200China Hemato-oncology Department Hengyang Medical SchoolThe Second Affiliated HospitalUniversity of South ChinaHengyang 421200China Department of Breast and Thyroid Surgery Hengyang Medical SchoolThe Second Affiliated HospitalUniversity of South ChinaHengyang 421200China

In this study,we reported the discovery and structure-activity relationship analysis of chrysin derivatives as a new class of inhibitors targeting poly(ADP-ribose)polymerase 1(PARP1).Among these derivatives,compound 5d emerged as the most effective chrysin-based inhibitor of PARP1,with an IC50 value of 108 nmol·L^(-1).This compound significantly inhibited the proliferation and migration of breast cancer cell lines HCC-1937 and MDA-MB-436 by inducing DNA ***,5d induced apoptosis and caused an extended G1/S-phase in these cell *** docking studies revealed that 5d possesses a strong binding affinity toward *** vivo,in a xenograft model,5d effectively reduced tumor growth by downregulating PARP1 ***,compound 5d shows promise as a potential therapeutic agent for the treatment of BRCA wild-type breast cancer.

关键词： Chrysin derivatives PARP1 Antitumor DNA damage Small molecules

Improved Convolutional Neural Network for Traffic Scene Segmentation

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Computer Modeling in Engineering & Sciences 2024年第3期138卷 2691-2708页

作者： Fuliang Xu yong luo Chuanlong Sun Hong Zhao College of Mechanical and Electrical Engineering Qingdao UniversityQingdao266071China

In actual traffic scenarios,precise recognition of traffic participants,such as vehicles and pedestrians,is crucial for intelligent *** study proposes an improved algorithm built on Mask-RCNN to enhance the ability of autonomous driving systems to recognize traffic *** algorithmincorporates long and shortterm memory networks and the fused attention module(GSAM,GCT,and Spatial Attention Module)to enhance the algorithm’s capability to process both global and local ***,to increase the network’s initial operation stability,the original network activation function was replaced with Gaussian error linear *** were conducted using the publicly available Cityscapes *** the test results,it was observed that the revised algorithmoutperformed the original algorithmin terms of AP_(50),AP_(75),and othermetrics by 8.7%and 9.6%for target detection and 12.5%and 13.3%for segmentation.

关键词： Instance segmentation deep learning convolutional neural network attention mechanism

GA-LSTM speed prediction-based DDQN energy management for extended-range vehicles

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Energy and AI 2024年第3期17卷 11-28页

作者： Laiwei Lu Hong Zhao Fuliang Xv yong luo Junjie Chen Xiaoyun Ding College of Mechanical and Electrical Engineering Qingdao UniversityQingdao266071Shandong ProvinceChina

In this paper,a dual deep Q-network(DDQN)energy management model based on long-short memory neural network(LSTM)speed prediction is proposed under the model predictive control(MPC)*** initial learning rate and neuron dropout probability of the LSTM speed prediction model are optimized by the genetic algorithm(GA).The prediction results show that the root-mean-square error of the GA-LSTM speed prediction method is smaller than the SVR method in different speed prediction *** predicted demand power,the state of charge(SOC),and the demand power at the current moment are used as the state input of the agent,and the real-time control of the control strategy is realized by the MPC *** simulation results show that the proposed control strategy reduces the equivalent fuel consumption by 0.0354 kg compared with DDQN,0.8439 kg compared with ECMS,and 0.742 kg compared with the power-following control *** difference between the proposed control strategy and the dynamic planning control strategy is only 0.0048 kg,0.193%,while the SOC of the power battery remains ***,the hardware-in-the-loop simulation verifies that the proposed control strategy has good real-time performance.

关键词： Extended-range vehicle LSTM speed prediction Genetic algorithm Model predictive control(MPC) Deep reinforcement learning Double deep Q-network(DDQN)

Potential industrial applications of photo/electrocatalysis: Recent progress and future challenges

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Green Energy & Environment 2024年第5期9卷 859-876页

作者： Jinhao Li Jing Ren Shaoquan Li Guangchao Li Molly Meng-Jung Li Rengui Li Young Soo Kang Xiaoxin Zou yong luo Bin Liu Yufei Zhao State Key Laboratory of Chemical Resource Engineering Beijing University of Chemical TechnologyBeijing100029China Quzhou Institute for Innovation in Resource Chemical Engineering Quzhou324000China State Key Laboratory of Organic-Inorganic Composites Beijing University of Chemical TechnologyBeijing100029China Department of Applied Physics The Hong Kong Polytechnic UniversityHong Kong999077China State Key Laboratory of Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian National Laboratory for Clean EnergyZhongshan Road 457Dalian116023China Environmental and Climate Technology Track of Korea Institute of Energy Korea Institute of Energy TechnologyNaju-siJeollanam do58217Republic of Korea State Key Laboratory of Inorganic Synthesis and Preparative Chemistry College of ChemistryJilin UniversityChangchun130012China

Nowadays,the rapid development of the social economy inevitably leads to global energy and environmental *** this reason,more and more scholars focus on the development of photocatalysis and/or electrocatalysis technology for the advantage in the sustainable production of high-value-added products,and the high efﬁciency in pollutants *** there is plenty of outstanding research has been put forward continuously,most of them focuses on catalysis performance and reaction mechanisms in laboratory *** industrial application of photo/electrocatalytic processes is still a challenge that needs to be overcome by social *** this regard,this review comprehensively summarized several explorations in theﬁeld of photo/electrocatalytic reduction towards potential industrial applications in recent *** attention is paid to the successful attempts and the current status of photo/electrocatalytic water splitting,carbon dioxide conversion,resource utilization from waste,etc.,by using advanced *** key problems and challenges of photo/electrocatalysis in future industrial practice are also discussed,and the possible development directions are also pointed out from the industry view.

关键词： Photocatalysis Electrocatalysis Industrial applications H2 economy

Exploring the Power of Entangled Data in Quantum Machine Learning

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Wuhan University Journal of Natural Sciences 2024年第3期29卷 193-194页

作者： WANG Xinbiao DU Yuxuan TU Zhuozhuo luo yong YUAN Xiao TAO Dacheng Institute of Artificial Intelligence School of Computer ScienceWuhan UniversityWuhan 430072HubeiChina National Engineering Research Center for Multimedia Software Wuhan UniversityWuhan 430072HubeiChina JD Explore Academy Beijing 101111China School of Computer Science and Engineering Nanyang Technological UniversitySingapore 639798Singapore School of Computer Science Faculty of EngineeringUniversity of SydneyNSW 2008Australia Center on Frontiers of Computing Studies Peking UniversityBeijing 100871China School of Computer Science Peking UniversityBeijing 100871China

Quantum entanglement is a key resource for achieving superiority of quantum ***,scientists are extensively focusing on how to integrate quantum entanglement into various components of quantum machine learning(QML)models,aiming to surpass the performance of traditional machine learning *** successes include the use of entangled measurements^([1-3])and entangled channels^([4]),which have been shown to reduce query complexity or improve the prediction precision for specified QML *** entangled data,capable of encoding more information compared to classical data of the same size,is recognized for its potential to achieve quantum ***,the impact of the entanglement degree in quantum data on model performance remains a challenging and unresolved research question.

关键词： quantum specified integrate

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清代云南保甲制度与流动人口控制研究

中国边疆史地研究 2024年第1期34卷 154-165,216,F0003页

作者：罗勇大理大学民族文化研究院云南省文史研究馆云南省大理市671003

清前期保甲制度主要在云南腹地府州县和新改流地区推行,清中期推广至滇西南与缅甸接壤的州县地区,再扩大至有垦荒移民的山区。云南推行保甲制度各阶段的特征与清代云南不同时期的社会问题密切相关。清末将清查出来的无业游民纳入移居地... 详细信息

清前期保甲制度主要在云南腹地府州县和新改流地区推行,清中期推广至滇西南与缅甸接壤的州县地区,再扩大至有垦荒移民的山区。云南推行保甲制度各阶段的特征与清代云南不同时期的社会问题密切相关。清末将清查出来的无业游民纳入移居地的保甲体系,以至于无业游民成为清晚期云南社会问题之一,推进保甲过程对流动人口的不同政策影响了流动人口的身份。

关键词：清代云南保甲制度流动人口

明清时期世袭家族谱牒与家族变迁——以云南蒙化左氏谱牒为例

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思想战线 2024年第4期50卷 73-81页

作者：罗勇大理大学民族文化研究院云南大理671003

在明代军户世袭制度和明清土官世袭制度下形成的世袭家族的谱牒有三种形式,一是记录历任世袭官员功绩履历的亲供状,二是在职官员子侄宗图,三是包括所有或某一支系世系的族谱。云南蒙化左氏是明清时期的世袭土官家族,明正德时期的《蒙化... 详细信息

在明代军户世袭制度和明清土官世袭制度下形成的世袭家族的谱牒有三种形式,一是记录历任世袭官员功绩履历的亲供状,二是在职官员子侄宗图,三是包括所有或某一支系世系的族谱。云南蒙化左氏是明清时期的世袭土官家族,明正德时期的《蒙化左氏家谱》以及清代的《蒙化左土官记事》均属于亲供状,记载了历任土官的功绩,均为应袭土官请袭所用,其目的在于确定应袭土官的顺序,维系应袭嫡长子的身份地位;清乾隆时期的《蒙化左族家谱》则由庶子倡修,是包括所有支系的族谱,是响应“笃宗族以昭壅睦”的结果。左氏有家庙、私祠和专祠,也支持修建佛寺。家庙是明嘉靖以前在职土官供奉四代祖先的场所,私祠是嘉靖以后左氏供奉始祖和历代祖先的场所,专祠是崇祯时期供奉庶子左重、左廷皋父子的官祠。左氏在明成化时修建寺庙,供奉亡人香火,随着私祠的出现,家庙渐废,私祠与佛寺合为一体。到清乾隆时私祠亦荒废,专祠变成家族祠堂。这些现象反映了在明清制度变化的背景下,嫡长子享受世官世禄、为祖先带来朝廷恩典的特权受到挑战,庶子亦可以通过科举进入仕途,为祖先带来封赠,进而提高社会地位。蒙化左氏谱牒所反映的家族变化,也出现在卫所军官家族的谱牒中,反映了在明清制度变化背景下世袭家族嫡长子与庶子身份地位的变化。

关键词：世袭家族族谱云南明清时期

面向内存数据库的类字典树索引综述与性能比较

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计算机学报 2024年第9期47卷 2009-2034页

作者：储召乐罗永平金培权中国科学技术大学计算机科学与技术学院合肥230027 中国科学院电磁空间信息重点实验室合肥230027

如何快速存取海量数据是大数据时代数据库系统面临的重大挑战.利用大内存构建内存数据库系统是实现大数据实时存取的可行途径.在此背景下,用于加速内存数据存取的内存数据库索引成为近几年国内外的研究热点.但是,内存数据库索引也面临... 详细信息

如何快速存取海量数据是大数据时代数据库系统面临的重大挑战.利用大内存构建内存数据库系统是实现大数据实时存取的可行途径.在此背景下,用于加速内存数据存取的内存数据库索引成为近几年国内外的研究热点.但是,内存数据库索引也面临着诸多挑战.以常见的内存B+树索引为例,第一个问题是索引的空间效率较低,这是因为内存B+树索引的节点内部存在较大的空间浪费;第二个问题是索引的查询复杂度较高,B+树的查询复杂度受限于数据规模,随着数据规模的扩张,索引的搜索效率也会下降;第三个问题是变长数据支持弱,B+树对于变长键的支持比较差,往往难以适应实际应用的需要.近年来,由于字典树具有空间代价低、查询效率与数据规模无关、支持变长键等优点,逐步成为了内存数据库索引研究中的一个主要方向.本论文围绕面向内存数据库的类字典树索引,首先介绍了字典树的概念、特点和历史,然后系统梳理和总结了类字典树索引的现状和最新进展,之后提出了一种全新的分类方法对类字典树索引进行了分类.在此基础上,论文对主流的六种类字典树索引进行了实验,在多个数据集和负载上进行了性能对比,并基于实验结果讨论了类字典树索引的设计和使用建议,最后展望了未来类字典树索引的发展方向.

关键词：内存数据库字典树索引性能对比

基于辅助变量的紫色土耕地土壤有机质空间预测

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土壤 2024年第4期56卷 857-865页

作者：刘雅璇于慧罗勇中国科学院·水利部成都山地灾害与环境研究所成都610299 昆明理工大学国土资源工程学院昆明650093 成都理工大学地理与规划学院成都610059

研究收集了川中丘陵区域紫色土耕地共135个土壤样本,基于GEE(GoogleEarthEngine)云平台调用高分辨率Sentinel-2A数据、SRTMGL1v3.0高程数据、Soil Grids土壤属性数据,并创新性地加入了纹理特征作为辅助变量,分别通过梯度提升决策树(GBDT... 详细信息

研究收集了川中丘陵区域紫色土耕地共135个土壤样本,基于GEE(GoogleEarthEngine)云平台调用高分辨率Sentinel-2A数据、SRTMGL1v3.0高程数据、Soil Grids土壤属性数据,并创新性地加入了纹理特征作为辅助变量,分别通过梯度提升决策树(GBDT)和随机森林(RF)构建两种预测模型反演研究区土壤有机质。结果表明:研究区内紫色土耕地土壤有机质含量偏低,养分级别为二~六级;GBDT算法构建的模型相比于RF算法预测精度更高,R2、r、RMSE分别为0.687、0.829、5.668 g/kg和0.514、0.717、6.765 g/kg;加入纹理特征的模型R2分别增加了6.80%和1.70%,为土壤有机质预测研究提供了新的思路。

关键词：土壤有机质机器学习紫色土 GEE

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微纳尺度气液传质强化油品催化加氢反应

化工进展 2024年第1期43卷 19-33页

作者：王立华蔡苏杭江文涛罗倩罗勇陈建峰北京化工大学教育部超重力工程研究中心北京100029

相比于经典的滴流床加氢技术,液相加氢技术由于其一次性投资成本和运行能耗低,受到了企业界和学术界的广泛关注。但如何进一步强化氢油相界面的传质速率来提高液相加氢效率,仍是一个重要的难题。近年来快速发展的微纳尺度气泡或液滴的... 详细信息

相比于经典的滴流床加氢技术,液相加氢技术由于其一次性投资成本和运行能耗低,受到了企业界和学术界的广泛关注。但如何进一步强化氢油相界面的传质速率来提高液相加氢效率,仍是一个重要的难题。近年来快速发展的微纳尺度气泡或液滴的气液传质强化技术有助于油品催化加氢反应。本文以微纳气泡为例,首先总结了微纳气泡特点及产生方式,简述了微纳尺度气液传质强化液相加氢过程可行性判别,回顾了微纳尺度气液传质强化在油品液相加氢工艺中的相关研究及工业应用。最后分析了微纳尺度气液传质强化在油品液相加氢中面临的挑战以及发展方向,即微纳尺度传质与本征反应的匹配、工况条件微纳气泡在反应器中的流动以及含微纳气泡混合物的气液分离等。

关键词：微纳尺度气泡加氢传递过程过程强化

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