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理解和把握坚持胸怀天下的三重逻辑——基于理论逻辑、价值意蕴及现实逻辑的视角

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西部学刊 2024年第14期 18-21页

作者：吴雪薇中共新疆生产建设兵团第四师可克达拉市党委党校可克达拉835219

党的二十大将习近平新时代中国特色社会主义思想的世界观和方法论概括为“六个必须坚持”,“必须坚持胸怀天下”是其中之一。尝试基于理论逻辑、价值意蕴及现实逻辑的视角理解和把握其丰富内涵和重要价值。“必须坚持胸怀天下”的理论... 详细信息

党的二十大将习近平新时代中国特色社会主义思想的世界观和方法论概括为“六个必须坚持”,“必须坚持胸怀天下”是其中之一。尝试基于理论逻辑、价值意蕴及现实逻辑的视角理解和把握其丰富内涵和重要价值。“必须坚持胸怀天下”的理论逻辑源于对马克思主义关于人类社会发展规律、中华优秀传统文化中的天下观和中国共产党人天下情怀的继承和发扬;价值意蕴体现在和平是核心要素、发展是基本目标、合作是实现方法、共赢是价值指向;现实逻辑表现为坚持以实现中华民族伟大复兴为使命维护国家安全发展,同心协力构建人类命运共同体的理念,坚持共商共建共享原则推动全球治理的方案,推动高质量共建“一带一路”的路径。

关键词：胸怀天下理论逻辑价值意蕴现实逻辑

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基于大数据的空调用电量研究

暖通空调 2024年第7期54卷 54-58页

作者：吴学伟陈宗衍珠海格力电器股份有限公司珠海519070 空调设备及系统运行节能国家重点实验室珠海

为实现夏季用电高峰期对空调等用电设备的柔性负荷控制,避免出现电网拉闸限电等极端用电调控现象,建立了空调用电量简化计算模型和能耗模型,结合20万台空调实际运行数据研究了用户温度设定习惯和能耗随设定温度的变化规律,并提出了空调... 详细信息

为实现夏季用电高峰期对空调等用电设备的柔性负荷控制,避免出现电网拉闸限电等极端用电调控现象,建立了空调用电量简化计算模型和能耗模型,结合20万台空调实际运行数据研究了用户温度设定习惯和能耗随设定温度的变化规律,并提出了空调用电柔性调控建议。结果表明:用电量简化计算模型经实际工程验证有效,误差可控制在5%以内;制冷设定温度每提高1℃可节约电量0.054 kW·h,制热过程每调低1℃可节约电量0.061 kW·h;通过直接功率限定或间接温度限定可实现用电的柔性调控。

关键词：空调用电量柔性调控设定温度大数据用电调控需求响应

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Neural Network Based Feasible Region Approximation Model for Optimal Operation of Integrated Electricity and Heating System

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CSEE Journal of Power and Energy Systems 2023年第5期9卷 1808-1819页

作者： xuewei wu Bin Zhang Mads Pagh Nielsen Zhe Chen Aalborg University Aalborg 9220Denmark

This paper proposes a neural network based feasible region approximation model of a district heating system(DHS),and it is intended to be used for optimal operation of integrated electricity and heating system(IEHS)considering privacy *** this model,a neural network is trained to approximate the feasible region of the DHS operation and then is reformulated as a set of mixed-integer linear *** on the received approximation models of DHSs and detailed electricity system model,the electricity operator conducts centralized optimization,and then sends specific heating generation plans back to corresponding heating ***,subsequent optimization is formulated for each DHS to obtain detailed operation strategy based on received heating generation *** this scheme,optimization of the IEHS could be achieved and privacy protection requirement is satisfied since the feasible region approximation model does not contain detailed system *** studies conducted on a small-scale system demonstrate accuracy of the proposed strategy and a large-scale system verify its application possibility.

关键词： Artificial intelligence district heating system integrated energy system machine learning multi-energy systems neural network optimal operation wind power

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济南市园林绿化中苗木栽培养护问题与对策

南方农业 2024年第10期18卷 133-135页

作者：巩向艳武雪炜黄芳济南市公园发展服务中心山东济南250000 济南市园林环境建设中心山东济南250000

随着社会发展水平不断提升,人们对于环境美化有了更高的要求,所以做好城市园林绿化建设工作至关重要。为提升园林绿化苗木的存活率和生长质量,深入探讨了山东省济南市园林绿化中苗木栽培养护存在的问题,包括苗期管理有待规范、栽培容器... 详细信息

随着社会发展水平不断提升,人们对于环境美化有了更高的要求,所以做好城市园林绿化建设工作至关重要。为提升园林绿化苗木的存活率和生长质量,深入探讨了山东省济南市园林绿化中苗木栽培养护存在的问题,包括苗期管理有待规范、栽培容器选择优化空间较大、养护技术手段有待加强等,并提出了规范苗期管理操作、优选适宜的栽培容器及加强养护技术手段应用等对策。

关键词：园林绿化苗木栽培养护山东省济南市

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蝴蝶兰不同部位CymMV和ORSV同步检测及含量比较研究

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植物病理学报 2024年第3期54卷 504-511页

作者：孙爱青王丽花张艺萍杨秀梅苏艳吴学尉云南大学昆明650091 云南省农业科学院花卉研究所/云南省花卉育种重点实验室/国家观赏园艺工程技术研究中心昆明650205

为探究建兰花叶病毒(cymbidium mosaic virus,CymMV)和齿兰环斑病毒(odontoglossum ringspot virus,ORSV)在蝴蝶兰不同部位的RNA质量及带毒量,以携带2种病毒的植株为试验材料,采用基于TaqMan探针双重实时荧光定量PCR法检测蝴蝶兰的蕊柱... 详细信息

为探究建兰花叶病毒(cymbidium mosaic virus,CymMV)和齿兰环斑病毒(odontoglossum ringspot virus,ORSV)在蝴蝶兰不同部位的RNA质量及带毒量,以携带2种病毒的植株为试验材料,采用基于TaqMan探针双重实时荧光定量PCR法检测蝴蝶兰的蕊柱、唇瓣、萼片、花梗(韧皮部)、叶片、气生根和地下根7个部位,并采用基因芯片法对带毒量进行复检验证。结果表明,蝴蝶兰不同部位的RNA提取效果存在差异,蕊柱的浓度最高,其次是唇瓣和气生根,地下根的浓度最低。双重实时荧光定量PCR检测结果表明,CymMV和ORSV在唇瓣和气生根中载量最高,在蕊柱和花梗中载量最低,2种病毒在不同部位的病毒载量变化趋势一致。本研究为蝴蝶兰病毒监测样本采集的部位选择提供了一定的理论指导。

关键词：蝴蝶兰 CymMV ORSV 检测带毒率不同部位比较

臭氧活性炭工艺处理多种新污染物复合污染研究

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给水排水 2024年第3期50卷 1-11页

作者：钟志聪赫俊国吴学伟袁永钦尹文选谭俊杰张道义吴雨晴广州大学土木工程学院广州510000 广州市水务投资集团有限公司广州510655 广州市自来水有限公司广州510600 广州市市政工程设计研究总院有限公司广州510095

以南方某流域水体可检出的SD、SMZ、HCB、马拉硫磷和BPA等新污染物为研究对象,进行复合新污染物共存的原水加标处理试验,研究预处理-常规处理-臭氧活性炭工艺处理效果。结果表明,SD、SMZ、BPA与COD_(Mn)均具有较好的相关性;生物预处理... 详细信息

以南方某流域水体可检出的SD、SMZ、HCB、马拉硫磷和BPA等新污染物为研究对象,进行复合新污染物共存的原水加标处理试验,研究预处理-常规处理-臭氧活性炭工艺处理效果。结果表明,SD、SMZ、BPA与COD_(Mn)均具有较好的相关性;生物预处理工艺对SD、SMZ、HCB、马拉硫磷和BPA去除率分别为23.97%、21.20%、6.08%、16.26%和23.76%,生物预处理最优停留时间是120min,最优气水比是1:2;常规处理工艺对SD、SMZ、HCB、马拉硫磷和BPA的去除率分别为18.02%、20.08%、23.02%、8.26%和16.53%,常规处理中SMZ和马拉硫磷的混凝剂最佳投加量为15mg/L,其余3种新污染物的混凝剂最佳投加量为20mg/L;深度处理工艺对SD、SMZ、HCB、马拉硫磷和BPA的去除率分别为49.13%、53.80%、60.20%、77.07%和71.50%,深度处理最佳臭氧投加量是3mg/L,最佳臭氧接触时间为24min,最优炭床停留时间是25min。试验工艺对复合新污染物具有良好的去除作用,对SD、SMZ、HCB、马拉硫磷和BPA的总去除率达到了69.86%、73.10%、73.65%、83.74%和82.72%,试验条件下出水的HCB、马拉硫磷和BPA满足《生活饮用水卫生标准》(GB5749-2022),出水的磺胺嘧啶和磺胺二甲嘧啶满足欧美发达国家的水质标准。

关键词：给水处理新污染物预处理常规工艺臭氧活性炭

不同休眠时期珠芽魔芋球茎转录组SSR和SNP位点信息分析

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分子植物育种 2024年第15期22卷 5007-5013页

作者：王天喜王蕊嘉张利娜谢雨琪吴学尉张达郑莉云南大学农学院昆明650504

为了解珠芽魔芋球茎转录组中SSR以及SNP的具体情况,对珠芽魔芋不同休眠时期(休眠期,萌动期,萌芽期)的球茎进行转录组测序,利用MISA和Varscan程序对测序得到的unigene进行分析,筛选并识别出SSR和SNP位点。结果显示,从珠芽魔芋292 086条un... 详细信息

为了解珠芽魔芋球茎转录组中SSR以及SNP的具体情况,对珠芽魔芋不同休眠时期(休眠期,萌动期,萌芽期)的球茎进行转录组测序,利用MISA和Varscan程序对测序得到的unigene进行分析,筛选并识别出SSR和SNP位点。结果显示,从珠芽魔芋292 086条unigene中发现52 324个SSR位点和807 836个SNP位点,SSR位点的出现频率为17.91%;单核苷酸(33.97%)、二核苷酸(47.83%)和三核苷酸(16.77%)重复占比较高,6~11次的重复占65.71%;重复基元共130种,其中二核苷酸重复基元AG/CT是优势重复基元类型,占总SSR的30.64%;基元长度在10~20 bp的SSR占80.33%;SNP变换类型中转换(523 617个)远高于颠换(284 219个)。本研究从珠芽魔芋球茎转录组测序结果中挖掘到大量的SSR和SNP位点,为珠芽魔芋的球茎休眠及解除、分子辅助育种等提供一定的科学数据。

关键词：珠芽魔芋休眠时期转录组 SSR SNP

On UAV Serving Node Deployment for Temporary Coverage in Forest Environment:A Hierarchical Deep Reinforcement Learning Approach

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Chinese Journal of Electronics 2023年第4期32卷 760-772页

作者： WANG Li wu xuewei WANG Yanhui XIAO Zhe LI Liang FEI Aiguo School of Computer Science (National Pilot Software Engineering School) Beijing University of Posts and Telecommunications School of Electronic Engineering Beijing University of Posts and Telecommunications

Unmanned aerial vehicles(UAVs) can be effectively used as serving stations in emergency communications because of their free movements, strong flexibility, and dynamic coverage. In this paper, we propose a coordinated multiple points based UAV deployment framework to improve system average ergodic rate, by using the fuzzy C-means algorithm to cluster the ground users and considering exclusive forest channel models for the two cases, i.e., associated with a broken base station or an available base station. In addition, we derive the upper bound of the average ergodic rate to reduce computational complexity. Since deep reinforcement learning(DRL) can deal with the complex forest environment while the large action and state space of UAVs leads to slow convergence, we use a ratio cut method to divide UAVs into groups and propose a hierarchical clustering DRL(HC-DRL) approach with quick convergence to optimize the UAV deployment. Simulation results show that the proposed framework can effectively reduce the complexity, and outperforms the counterparts in accelerating the convergence speed.

关键词： Deep learning Base stations Simulation Clustering algorithms Forestry Reinforcement learning Autonomous aerial vehicles

The correlation of miRNA expression and tumor mutational burden in uterine corpus endometrial carcinoma

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BIOCELL 2023年第6期47卷 1353-1364页

作者： YANYA CHEN HONGYUAN wu RUISI ZHOU HELING DONG XUEFANG ZHANG xuewei wu WENSHAN CHEN YANTING YOU YIFEN wu Department of Gynaecology Affiliated Dongguan People’s HospitalSouthern Medical UniversityDongguan523009China Department of Radiation Oncology Affiliated Dongguan People’s HospitalSouthern Medical UniversityDongguan523009China Department of Oncology Affiliated Dongguan People’s HospitalSouthern Medical UniversityDongguan523009China School of Sports Education Jinan UniversityGuangzhou510632China Syndrome Laboratory of Integrated Chinese and Western Medicine School of Traditional Chinese MedicineSouthern Medical UniversityGuangzhou510515China

Background:The relationship between microRNA(miRNA)expression patterns and tumor mutation burden(TMB)in uterine corpus endometrial carcinoma(UCEC)was investigated in this ***:The UCEC dataset from The Cancer Genome Atlas(TCGA)database was used to identify the miRNAs that differ in expression between high TMB and low TMB sample *** total sample sets were divided into a training set and a test *** levels were predicted using miRNA-based signature classifiers developed by Lasso Cox *** sets were used to validate the *** study investigated the relationship between a miRNA-based signature classifier and three immune checkpoint molecules(programmed cell death protein 1[PD-1],programmed cell death ligand 1[PD-L1],cytotoxic T lymphocyte-associated antigen 4[CTLA-4]).For the miRNA-based signature classifier,functional enrichment analysis was performed on the *** analysis of the relationship between PD-1,PD-L1,and CTLA-4 immune checkpoint genes was carried out using the miRNA-based signature ***:We identified 27 differentially expressed miRNAs in miRNA-base *** predicting the TMB level,27-miRNA-based signature classifiers had accuracies of 0.8689 in the training cohort,0.8276 in the test cohort,and 0.8524 in the total *** correlation between the miRNA-based signature classifier and PD-1 was negative,while the correlation between PD-L1 and CTLA4 was *** on the miRNA profiling described above,we validated the expression levels of 9 miRNAs in clinical samples by quantitative reverse transcription PCR(qRT-PCR).Four of them were highly expressed and many cancer-related and immune-associated biological processes were linked to these 27 ***,the developed miRNA-based signature classifier was correlated with TMB levels that could also predict TMB levels in UCEC ***:In this study,we investigated the relationship between a miRNAbased signature classifier and TMB levels in

关键词： Tumor mutation burden Uterine corpus endometrial carcinoma miRNA-based signature classifiers Immune checkpoints