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Development of CMAQ for East Asia CO_2 data assimilation under an EnKF framework: a first result

Chinese Science Bulletin 2014年第25期59卷 3200-3208页

作者： Zhekun huang Zhen Peng hongnian Liu Meigen Zhang Xiaoguang Ma Shu-Chih Yang Sang-Deok Lee Seung-Yeon Kim School of Atmospheric Sciences Nanjing University State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of Sciences RIKEN Advanced Institute for Computational Science Kobe 650-0047 Japan National Institute of Environmental Research Incheon 404-708Republic of Korea

Under an Ensemble Kalman Filter(EnKF)framework,Regional Atmospheric Modeling System and Models-3 Community Multi-scale Air Quality(RAMS–CMAQ)modeling system is developed to be a CO2data assimilation system EnKF–CMAQ,and the EnKF–CMAQ system is then applied to East Asia for validation with real continuous surface CO2concentration observations available in the study domain instead of using an observation simulation system *** with an experimental period of January 23 to February 7,2007 are conducted,and the experimental results of the EnKF–CMAQ system and the RAMS–CMAQ model are compared against continuous surface CO2observations from assimilation sites and independent reference *** of daily mean CO2concentration increments show that the EnKF–CMAQ system confines the update of daily mean CO2within areas nearby and downwind of the assimilation *** the CO2concentration ensemble spreads and background error covariances show flow-dependent *** results indicate the crucial role of wind transport in the CO2data assimilation,which agrees with the previous *** average bias and the average root-mean-square error(RMSE)of daily mean CO2concentration at the assimilation sites are reduced by 1.00 and1.83 ppm,respectively,and those at the reference sites are reduced by 0.24 and 0.22 ppm,*** results demonstrate the EnKF–CMAQ system is capable of assimilating the continuous surface CO2concentration observations to improve the simulation accuracy of the atmospheric CO2synoptic *** growing CO2observations over East Asia are being available nowadays,this work is our first step to generate consistent spatial and temporal atmospheric CO2concentration fields over East Asia,particularly over China,using both in situ and satellite observations.

关键词：大气CO2浓度卡尔曼滤波数据同化集合区域大气模拟系统东亚框架开发

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考虑地震强度不确定性的车站韧性评估方法

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岩土工程学报 2025年第1期47卷 164-172页

作者：张陈龙张东明黄忠凯黄宏伟同济大学地下建筑与工程系上海200092 同济大学岩土及地下工程教育部重点实验室上海200092

地铁车站作为地下交通的枢纽,是社会经济交流和人员交往的重要组成部分,但其同时也面临着诸多灾害风险。以前包括地震在内的灾害,会对地下交通网络造成严重后果,也对城市功能造成重大损失。因此,地铁车站等关键交通枢纽的韧性评估对于... 详细信息

地铁车站作为地下交通的枢纽,是社会经济交流和人员交往的重要组成部分,但其同时也面临着诸多灾害风险。以前包括地震在内的灾害,会对地下交通网络造成严重后果,也对城市功能造成重大损失。因此,地铁车站等关键交通枢纽的韧性评估对于提高城市安全性和维护其功能至关重要。提供了一个考虑地震强度不确定性的综合韧性评估框架,用于评估浅埋地铁车站在地震灾害下的鲁棒性和快速恢复能力。该框架方法利用有限元软件,建立相关地铁车站数值模型;然后,通过所选择的地震动展开大量数值分析,以便生成关于峰值地面加速度(PGA)的地铁车站易损性函数;接着利用蒙特卡洛模拟进一步量化地震动强度不确定性,并最终确定车站在各个损伤阶段的概率。最终,通过联立地铁车站损伤概率与经济损失关系,考虑地铁车站的恢复路径和可恢复性,完成韧性评估。本研究通过该韧性评估框架和所计算出的韧性指标R,评价和讨论了性能恢复模型和场地条件对车站抗震韧性的影响。这项工作可以帮助地铁网络基于韧性的设计和管理,以支持对地震灾害的适应,从而促进相关决策者关于资源的有效分配。

关键词：地铁车站地震韧性地震易损性地震动不确定性恢复模型

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Mitigating methodology of hardware non-ideal characteristics for non-volatile memory based neural networks

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Science China(Information Sciences) 2025年

作者： Lixia HAN Peng huang Yijiao WANG Zheng ZHOU Haozhang YANG Yiyang CHEN Xiaoyan LIU Jinfeng KANG School of Integrated Circuits Peking University Beijing Advanced Innovation Center for Integrated Circuits School of Integrated Circuit Science and Engineering Beihang University

Non-volatile memory-based computing-in-memory (nvCIM) paradigm has been extensively studied to boost the energy efficiency of neural network accelerators in edge ***,the degradation of inference accuracy induced by the non-ideal characteristics across circuits,arrays,and devices is becoming a crucial *** this work,we establish a hardware characteristic behavior model to analyze the impact of nvCIM non-ideal characteristics on neural network *** we propose a hardware aware training and weight mapping correction methods to mitigate inference accuracy *** simulation verification,about 95%inference accuracy degradation is recovered by adopting the proposed mitigation method for various non-ideal characteristics and various neural network *** feasibility of the proposed method is further proved in an experimental example with a flash-based LeNet recognition system.

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Thermally triggered topological polymerization in diacetylene-functionalized covalent organic framework toward enhanced memristive properties

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Science China Chemistry 2025年

作者： Panke Zhou Yuxing huang Ziyue Yu Cong Zhang Qian Chen Yiping Li Chao Lin Xiong Chen State Key Laboratory of Photocatalysis on Energy and Environment Key Laboratory of Advanced Carbon-Based Functional MaterialsCollege of Chemistry Fuzhou University

The development of stimuli-responsive switching memory devices and the elucidation of their switching mechanisms in specific environments are crucial for advancing the field of molecular electronics. Herein, we propose two distinct two-dimensional covalent organic frameworks (COFs), namely Py-EDA and Py-BDA, incorporating acetylene (-C≡C-) or diacetylene(-C≡C-C≡C-) moieties, respectively, targeting fabricate memory devices exhibiting stimuli-responsive switching *** findings demonstrate that the incorporation of acetylene units effectively modulates the electronic band structure and enhances the degree ofπ-conjugation, resulting in devices that exhibit typical bipolar nonvolatile memory performance. Notably,upon thermal treatment, the memory behavior of the ITO/Py-BDA/Ag device transitions to a write-once-read-many-times(WORM) mode, displaying decreased SET voltage, increased ON/OFF current ratio, and remarkable retention reliability and cycle stability. This switching behavior is attributed to the occurrence of interlayer solid-state topological polymerization at 350℃, leading to the transformation of diacetylene columnar arrays into enyne chains within Py-BDA, thereby further promoting interlayer charge transfer and separation.

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绿色金融是否提高了地方政府对数字经济的注意力?--基于政策文本分析

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生态经济 2025年第1期41卷 106-113,131页

作者：黄平贵州商学院经济与金融学院贵州贵阳550000

在有限理性决策者的注意力稀缺性理论下,地方政策的变化取决于地方政府注意力的变动。反之,地方政府注意力是否取决于其他相关政策的变化?论文挖掘2019—2021年我国30个省级地方政府政策文本数据,用文本中词频反映地方政府在数字经济倾... 详细信息

在有限理性决策者的注意力稀缺性理论下,地方政策的变化取决于地方政府注意力的变动。反之,地方政府注意力是否取决于其他相关政策的变化?论文挖掘2019—2021年我国30个省级地方政府政策文本数据,用文本中词频反映地方政府在数字经济倾注的“注意力”,并应用fsQCA方法探究绿色金融发展是否引起地方政府向数字经济倾注高注意力。研究结论如下:(1)地方政府对数字经济注意力存在“南强北弱”的区域特征。(2)当绿色投资或绿色支持得到发展时,地方政府通过数字技术的应用帮助监测和评估环保项目的效果,实现环境保护、污染治理,助推地方政府向数字经济投入高注意力。(3)当绿色债券和绿色基金同时发展时,作为融资工具,能够有效帮助实体企业获取资金,助力“双碳”,但受公共物品特征影响,很难被反映在企业利润中。并且,绿色债券和绿色基金所应用到的数字手段有限,较难引起高注意力。(4)当绿色金融各个方面发展较弱时,仅绿色债券、绿色权益所能调动的数字技术是不足的,不会促进地方政府向数字经济投入更高注意力。总之,分析绿色金融是否助推地方政府向数字经济投入注意力,对于探索绿色金融和数字经济协同发展路径具有重要意义。

关键词：绿色金融数字经济注意力 fsQCA方法

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Relationship between longitudinal changes in lipid composition and ischemic stroke among hypertensive patients

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World Journal of Clinical Cases 2025年第4期13卷 18-27页

作者： Cheng-Cheng Wei Yu-Qing huang Cheng-Hong Yu Department of Cardiology Tongxiang First People's HospitalTongxiang 314500Zhejiang ProvinceChina Department of Cardiology Guangdong Cardiovascular InstituteGuangzhou 510080Guangdong ProvinceChina

BACKGROUND Dyslipidemia was strongly linked to stroke,however the relationship between dyslipidemia and its components and ischemic stroke remained *** To investigate the link between longitudinal changes in lipid profiles and dyslipidemia and ischemic stroke in a hypertensive *** Between 2013 and 2014,6094 hypertension individuals were included in this,and ischemic stroke cases were documented to the end of *** changes of lipid were stratified into four groups:(1)Normal was transformed into normal group;(2)Abnormal was transformed into normal group;(3)Normal was transformed into abnormal group;and(4)Abnormal was transformed into abnormal *** examine the link between longitudinal changes in dyslipidemia along with its components and the risk of ischemic stroke,we utilized multivariate Cox proportional hazards models with hazard ratio(HR)and 95%*** The average age of the participants was 62.32 years±13.00 years,with 329 women making up 54.0%of the *** the course of a mean follow-up of 4.8 years,143 ischemic strokes *** normal was transformed into normal group was used as a reference,after full adjustments,the HR for dyslipidemia and ischemic stroke among abnormal was transformed into normal group,normal was transformed into abnormal group and abnormal was transformed into abnormal Wei CC et *** changed and ischemic stroke WJCC https://*** 2 February 6,2025 Volume 13 Issue 4 group were 1.089(95%CI:0.598-1.982;P=0.779),2.369(95%CI:1.424-3.941;P<0.001)and 1.448(95%CI:1.002-2.298;P=0.047)(P for trend was 0.233),*** In individuals with hypertension,longitudinal shifts from normal to abnormal in dyslipidemia-particularly in total and low-density lipoprotein cholesterol-were significantly associated with the risk of ischemic stroke.

关键词： Longitudinal change Hypertension Dyslipidemia Lipid profile Ischemic stroke

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Exploring the interaction between the gut microbiota and cyclic adenosine monophosphate-protein kinase A signaling pathway:a potential therapeutic approach for neurodegenerative diseases

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Neural Regeneration Research 2025年第11期20卷 3095-3112页

作者： Fengcheng Deng Dan Yang Lingxi Qing Yifei Chen Jilian Zou Meiling Jia Qian Wang Runda Jiang Lihua huang College of Pharmacy Chengdu University of Traditional Chinese MedicineChengduSichuan ProvinceChina State Key Laboratory of Southwestern Chinese Medicine Resources Chengdu University of Traditional Chinese MedicineChengduSichuan ProvinceChina

The interaction between the gut microbiota and cyclic adenosine monophosphate(cAMP)-protein kinase A(PKA)signaling pathway in the host's central nervous system plays a crucial role in neurological diseases and enhances communication along the gut–brain *** gut microbiota influences the cAMP-PKA signaling pathway through its metabolites,which activates the vagus nerve and modulates the immune and neuroendocrine ***,alterations in the cAMP-PKA signaling pathway can affect the composition of the gut microbiota,creating a dynamic network of microbial-host *** reciprocal regulation affects neurodevelopment,neurotransmitter control,and behavioral traits,thus playing a role in the modulation of neurological *** coordinated activity of the gut microbiota and the cAMP-PKA signaling pathway regulates processes such as amyloid-β protein aggregation,mitochondrial dysfunction,abnormal energy metabolism,microglial activation,oxidative stress,and neurotransmitter release,which collectively influence the onset and progression of neurological *** study explores the complex interplay between the gut microbiota and cAMP-PKA signaling pathway,along with its implications for potential therapeutic interventions in neurological *** pharmacological research has shown that restoring the balance between gut flora and cAMP-PKA signaling pathway may improve outcomes in neurodegenerative diseases and emotional *** can be achieved through various methods such as dietary modifications,probiotic supplements,Chinese herbal extracts,combinations of Chinese herbs,and innovative dosage *** findings suggest that regulating the gut microbiota and cAMP-PKA signaling pathway may provide valuable evidence for developing novel therapeutic approaches for neurodegenerative diseases.

关键词： cyclic adenosine monophosphate emotional disorders gut microbiota neurodegenerative diseases neurological diseases protein kinase A reciprocal regulation signaling pathway strategy therapies

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支持IPv4/IPv6双栈的5G通信网络可靠性组网部署研究

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现代电子技术 2025年第1期48卷 102-106页

作者：黄琳黄劼蒋平湖北师范大学计算机与信息工程学院湖北黄石435002 腾讯科技(深圳)有限公司广州深圳518000 湖北理工学院计算机学院湖北黄石435003

5G网络要求更多的基站部署以支持更高的数据传输速率和连接密度。为实现网络数据的并行高速传输,确保网络应用业务的实时性和稳定性,文中提出一种支持IPv4/IPv6双栈的5G通信网络可靠性组网部署方法。结合IPv4和IPv6双栈,构建双栈转换机... 详细信息

5G网络要求更多的基站部署以支持更高的数据传输速率和连接密度。为实现网络数据的并行高速传输,确保网络应用业务的实时性和稳定性,文中提出一种支持IPv4/IPv6双栈的5G通信网络可靠性组网部署方法。结合IPv4和IPv6双栈,构建双栈转换机制结合有限双协议栈模型,在模型下构建5G通信网络结构,并通过高架立体交叉网优化IPv4/IPv6双栈的5G通信网络组网结构,提升IPv4/IPv6双栈5G通信网络的通信速度。采用冗余路径算法,实现5G网络IPv4/IPv6双栈通信中的服务功能链编排,解决IPv4/IPv6双栈通信中的冗余问题。实验结果表明,该方法能够构建一种更稳定、更高效的5G通信网络组网结构,提高了网络频谱效率,优化了网络环境。

关键词： 5G通信网络 IPv4/IPv6双栈可靠性组网部署服务功能链冗余路径算法有限双协议栈模型

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FFConvNeXt3D:提取中大规模目标特征的大卷积核网络

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郑州大学学报（理学版） 2025年第2期57卷 37-43页

作者：黄乾坤黄蔚凌兴宏苏州大学计算机科学与技术学院江苏苏州215006 苏州大学东吴学院计算机系江苏苏州215006 苏州城市学院计算科学与人工智能学院江苏苏州215104 吉林大学符号计算与知识工程教育部重点实验室吉林长春130012

目前大卷积核模型在图像领域已经证明其有效性,但是在视频领域还没有优秀的3D大卷积核模型。此外,之前的工作中忽视了时空行为检测任务主体是人的特点,其中的骨干网络只针对通用目标提取特征。针对上述原因,提出了一种含有特征融合结构... 详细信息

目前大卷积核模型在图像领域已经证明其有效性,但是在视频领域还没有优秀的3D大卷积核模型。此外,之前的工作中忽视了时空行为检测任务主体是人的特点,其中的骨干网络只针对通用目标提取特征。针对上述原因,提出了一种含有特征融合结构的3D大卷积核神经网络(FFConvNeXt3D)。首先,将成熟的ConvNeXt网络膨胀成用于视频领域的ConvNeXt3D网络,其中,预训练权重也进行处理用于膨胀后的网络。其次,研究了卷积核时间维度大小和位置对模型性能的影响。最后,提出了一个特征融合结构,着重提高骨干网络提取人物大小目标特征的能力。在UCF101-24数据集上进行了消融实验和对比实验,实验结果验证了特征融合结构的有效性,并且该模型性能优于其他方法。

关键词：大卷积核目标检测时空行为检测行为识别特征融合

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Reverse modulation of defect density of Ce-MOF-808 by solventassisted ligand exchange for dicyclopentadiene hydrogenation

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Science China Chemistry 2025年

作者： Danfeng Zhao Fajie Hu Rushuo Li Xinmeng Xu Zhaokun Wang Zuoshuai Xi Jun Tong Xiubing huang Ge Wang Advanced Innovation Center for Materials Genome Engineering Beijing Key Laboratory of Function Materials for Molecule & Structure Construction School of Materials Science and Engineering University of Science and Technology Beijing

Defect engineering is a pivotal strategy for tailoring the electronic structure and physicochemical properties of catalysts, yet the straightforward manipulation of defect density in porous materials presents a current challenge. In this work, we achieved precise control over the coordination unsaturated site（CUS） content and pore architecture of Ce-MOF-808 by employing 2-fluorobenzoic acid（2-FBA） as a modifier. Leveraging the p Kadisparities among three ligands（1,3,5-tricarboxylic benzoic acid,formic acid, and 2-FBA）, we preserved the spn topology of Ce-MOF within an aqueous system, while realizing partial substitution of the auxiliary ligands and saturation of the CUS. The amount of 2-FBA was negatively correlated with the number of ligand defects, and the consequent decrease in Ce3+content and the increase in the number of ligand linkages also induced crystal structure transformation. The modulation of the defect structure was correlated with the catalytic performance of dicyclopentadiene（DCPD） hydrogenation reaction, in which Ce-MMF0.15, constructed by the modulation of 0.15 mol amount of 2-fluorobenzoic acid, exhibited an optimal ligand defect density and micro-mesoporous structure, enabling almost complete conversion of DCPD at 100 ℃ and 2 MPa. This article also elucidates the correlation between the regulation of defect density and the accessibility of frustrated Lewis pair（FLP） active sites, guiding the application of novel porous intrinsic FLP materials in hydrogenation catalysis.

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