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前海深港现代服务业合作区规划体系探索与创新

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规划师 2014年第5期30卷 72-77页

作者：叶伟华黄汝钦深圳市前海深港现代服务业合作区管理局规划建设处深圳市城市规划设计研究院有限公司

前海深港现代服务业合作区拥有独特的区位和交通优势,是深圳提升国际影响力的中心地区和标志地区,被定位为"粤港现代服务业创新合作示范区"。前海各层次规划受深圳市政府的重视与关注,并成立深圳市前海深港现代服务业合作区管理局作为... 详细信息

前海深港现代服务业合作区拥有独特的区位和交通优势,是深圳提升国际影响力的中心地区和标志地区,被定位为"粤港现代服务业创新合作示范区"。前海各层次规划受深圳市政府的重视与关注,并成立深圳市前海深港现代服务业合作区管理局作为法定管理机构进行规划管理。前海在各层次规划编制工作中,从规划编制体系、规划实施体系、成果内容与表达方式到开发模式、土地管理机制等方面都进行了积极探索与实践,规划编制体系结构科学、层次完善、实施性强,成果水平较高,特色鲜明,其规划编制的组织方法和工作思路对国内其他地区的规划编制将有所借鉴和启示。

关键词：前海深港合作区规划编制体系规划实施体系开发单元规划整体开发

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Commentary on “A population of stem cells with strong regenerative potential discovered in deer antlers ”

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Chinese Journal of Natural Medicines 2023年第6期21卷 401-402页

作者： LIU Jing SHAO Li huang weihua Department of Clinical Pharmacology Xiangya HospitalCentral South UniversityChangsha 410008China Institute of Clinical Pharmacology Hunan Key Laboratory of PharmacogeneticsCentral South UniversityChangsha 410078China Department of Pharmacognosy School of PharmacyHunan University of Chinese MedicineChangsha 410128China

In this groundbreaking study,Qin et al.identified,characterized,and isolated a previously unknown population of stem cells responsible for the regenerative potential in deer antlers[1].The researchers identified these cells as antler blastema progenitor cells(ABPCs),originating from paired related homeobox 1(PRRX1)+mesenchymal cells in the antler blastemal.The authors convincingly demonstrated that these ABPCs are a shared stem cell type among mammalian appendages,opening up new avenues for bone tissue repair and regeneration.

关键词： potential breaking

Multi-Objective Adaptive Optimization Model Predictive Control:Decreasing Carbon Emissions from a Zinc Oxide Rotary Kiln

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Engineering 2023年第8期27卷 96-105页

作者： Ke Wei Keke huang Chunhua Yang weihua Gui School of Automation Central South UniversityChangsha 410083China

The zinc oxide rotary kiln,as an essential piece of equipment in the zinc smelting industrial process,is presenting new challenges in process control.China’s strategy of achieving a carbon peak and carbon neutrality is putting new demands on the industry,including green production and the use of fewer resources;thus,traditional stability control is no longer suitable for multi-objective control tasks.Although researchers have revealed the principle of the rotary kiln and set up computational fluid dynamics(CFD)simulation models to study its dynamics,these models cannot be directly applied to process control due to their high computational complexity.To address these issues,this paper proposes a multi-objective adaptive optimization model predictive control(MAO-MPC)method based on sparse identification.More specifically,with a large amount of data collected from a CFD model,a sparse regression problem is first formulated and solved to obtain a reduction model.Then,a two-layered control framework including real-time optimization(RTO)and model predictive control(MPC)is designed.In the RTO layer,an optimization problem with the goal of achieving optimal operation performance and the lowest possible resource consumption is set up.By solving the optimization problem in real time,a suitable setting value is sent to the MPC layer to ensure that the zinc oxide rotary kiln always functions in an optimal state.Our experiments show the strength and reliability of the proposed method,which reduces the usage of coal while maintaining high profits.

关键词： Zinc oxide rotary kiln Model reduction Sparse identification Real-time optimization Model predictive control Process control

Fixed-time distributed robust optimization for economic dispatch with event-triggered intermittent control

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Science China(Technological Sciences) 2023年第5期66卷 1385-1396页

作者： huang BangHua LIU Yang GLIELMO Luigi GUI weihua Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province Zhejiang Normal UniversityJinhua321004China School of Mathematical Sciences Zhejiang Normal UniversityJinhua321004China Department of Electrical Engineering and Information Technologies University of Naples FedericoⅡNapoli80125Italy School of Automation Central South UniversityChangsha410083China

This paper proposes a fixed-time distributed robust optimization approach for solving economic dispatch problems.Based on an integral sliding mode control scheme,the proposed multi-agent system converges to an optimal solution to an economic dispatch problem before a fixed time.In addition,the proposed multi-agent system can suppress the disturbance in a fixed time.To reduce the cost of sliding mode controls,we propose a distributed event-triggered intermittent control which reduces the sliding mode control time by setting a control triggering rule on the basis of two boundary functions of a Lyapunov function.The simulation results of three power systems illustrate the characteristics and effectiveness of the theoretical results.

关键词： distributed optimization economic dispatch problem fixed-time robust optimization event-triggered intermittent control

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Potential diagnostic biomarkers for schizophrenia

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Medical Review 2022年第4期2卷 385-416页

作者： weihua Yue Hailiang huang Jubao Duan Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder Chinese Academy of Medical Sciences(2018RU006)Institute of Mental HealthPeking University Sixth HospitalNo.51 Hua Yuan Bei RoadBeijing100191China National Clinical Research Center for Mental Disorders&NHC Key Laboratory of Mental Health(Peking University) Beijing100191China PKU-IDG/McGovern Institute for Brain Research Peking UniversityBeijing100871China Chinese Institute for Brain Research Beijing102206China Analytic and Translational Genetics Unit Massachusetts General HospitalBostonMAUSA Stanley Center for Psychiatric Research Broad Institute of MIT and HarvardCambridgeMAUSA Department of Medicine Harvard Medical SchoolBostonMAUSA Center for Psychiatric Genetics NorthShore University Health SystemEvanstonILUSA Department of Psychiatry and Behavioral Neurosciences University of ChicagoChicagoILUSA

Schizophrenia(SCH)is a complex and severe mental disorder with high prevalence,disability,mortality and carries a heavy disease burden,the lifetime prevalence of SCH is around 0.7%–1.0%,which has a profound impact on the individual and society.In the clinical practice of SCH,key problems such as subjective diagnosis,experiential treatment,and poor overall prognosis are still challenging.In recent years,some exciting discoveries have been made in the research on objective biomarkers of SCH,mainly focusing on genetic susceptibility genes,metabolic indicators,immune indices,brain imaging,electrophysiological characteristics.This review aims to summarize the biomarkers that may be used for the prediction and diagnosis of SCH.

关键词： accurate diagnosis multi-omics data objective biomarkers personalized treatment schizophrenia

Smart manufacturing of nonferrous metallurgical processes:Review and perspectives

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International Journal of Minerals,Metallurgy and Materials 2022年第4期29卷 611-625页

作者： Bei Sun Juntao Dai Keke huang Chunhua Yang weihua Gui School of Automation Central South UniversityChangsha 410083China Peng Cheng Laboratory Shenzhen 518000China

The nonferrous metallurgical(NFM)industry is a cornerstone industry for a nation’s economy.With the development of artificial technologies and high requirements on environment protection,product quality,and production efficiency,the importance of applying smart manufacturing technologies to comprehensively percept production states and intelligently optimize process operations is becoming widely recognized by the industry.As a brief summary of the smart and optimal manufacturing of the NFM industry,this paper first reviews the research progress on some key facets of the operational optimization of NFM processes,including production and management,blending optimization,modeling,process monitoring,optimization,and control.Then,it illustrates the perspectives of smart and optimal manufacturing of the NFM industry.Finally,it discusses the major research directions and challenges of smart and optimal manufacturing for the NFM industry.This paper will lay a foundation for the realization of smart and optimal manufacturing in nonferrous metallurgy in the future.

关键词： nonferrous metallurgical industry smart and optimal manufacturing online perception intelligent control operational optimiza-tion automation of knowledge-based work

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Drug-microbiota interactions: an emerging priority for precision medicine

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Signal Transduction and Targeted Therapy 2023年第11期8卷 5184-5210页

作者： Qing Zhao Yao Chen Weihua Huang Honghao Zhou Wei Zhang Department of Clinical Pharmacology Xiangya HospitalCentral South University87 Xiangya RoadChangsha410008PR China Institute of Clinical Pharmacology Central South UniversityHunan Key Laboratory of Pharmacogenetics110 Xiangya RoadChangsha410078PR China Engineering Research Center of Applied Technology of Pharmacogenomics Ministry of Education110 Xiangya RoadChangsha410078PR China National Clinical Research Center for Geriatric Disorders 87 Xiangya RoadChangsha410008PR China The First Affiliated Hospital of Shantou University Medical College Shantou515041PR China The First Affiliated Hospital of Guangdong Pharmaceutical University Guangzhou510080PR China Central Laboratory of Hunan Cancer Hospital Central South University283 Tongzipo RoadChangsha410013PR China

Individual variability in drug response(IVDR)can be a major cause of adverse drug reactions(ADRs)and prolonged therapy,resulting in a substantial health and economic burden.Despite extensive research in pharmacogenomics regarding the impact of individual genetic background on pharmacokinetics(PK)and pharmacodynamics(PD),genetic diversity explains only a limited proportion of IVDR.The role of gut microbiota,also known as the second genome,and its metabolites in modulating therapeutic outcomes in human diseases have been highlighted by recent studies.Consequently,the burgeoning field of pharmacomicrobiomics aims to explore the correlation between microbiota variation and IVDR or ADRs.This review presents an up-to-date overview of the intricate interactions between gut microbiota and classical therapeutic agents for human systemic diseases,including cancer,cardiovascular diseases(CVDs),endocrine diseases,and others.We summarise how microbiota,directly and indirectly,modify the absorption,distribution,metabolism,and excretion(ADME)of drugs.Conversely,drugs can also modulate the composition and function of gut microbiota,leading to changes in microbial metabolism and immune response.We also discuss the practical challenges,strategies,and opportunities in this field,emphasizing the critical need to develop an innovative approach to multi-omics,integrate various data types,including human and microbiota genomic data,as well as translate lab data into clinical practice.To sum up,pharmacomicrobiomics represents a promising avenue to address IVDR and improve patient outcomes,and further research in this field is imperative to unlock its full potential for precision medicine.

关键词： metabolism drugs translate

Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity

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Science China(Information Sciences) 2022年第1期65卷 39-55页

作者： Keke huang Shijun TAO Yishun LIU Chunhua YANG weihua GUI School of Automation Central South University

With the development of the industrial cyber-physical systems, a small amount of labeled data and a large amount of unlabeled data are collected from the industrial process. Due to the variation of internal operation conditions and external environment, there is a between-mode similarity between data samples. The scarcity of labeled data and the existence of similarity make it challenging to extract data characteristics. In addition, it creates new challenges to process monitoring. To solve these problems, this study proposes a label propagation dictionary learning method. We first establish the connection between atoms and corresponding profiles and realize the propagation of their labels through graph Laplacian regularization. Then, considering the similarity of samples in the same class, the low-rank constraint is added to sparse coding to strengthen the mutual propagation of labels. Finally, an optimization method is designed to obtain the dictionary and classifier simultaneously. When new data samples arrive, we conduct process monitoring and condition prediction based on the learned dictionary and classifier. Experiments show that the proposed method can achieve satisfactory monitoring performance when compared to several state-of-the-art methods, indicating the superiority of the proposed method.

关键词： process monitoring label propagation dictionary learning between-mode similarity graph Laplacian regularization

Secure DRM Scheme Based on Blockchain with High Credibility

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Chinese Journal of Electronics 2018年第5期27卷 1025-1036页

作者： MA Zhaofeng huang weihua GAO Hongmin School of Cyberspace Security Beijing University of Posts and Telecommunications

Upon the fairness, security and flexibility problems of traditional digital rights management, we proposed a blockchain infrastructure service based DRM platform with high-level credit and security, in which we first proposed a Blockchain as a service(Baa S) architecture to decrease the complexity and difficulty of building up a blockchain-based business model, the Baa S infrastructure transparently provides easily-developed user interface to implement all core functions such as genesis block creation, consensus mechanism definition, node initialization and running, wallet management, address management,blockchain explorer et al. Then based on the Baa S infrastructure we proposed a blockchain-based DRM platform with high-level credit and security for Content provider(CP), Service provider(SP) and customers. We designed the blockchain as infrastructure service for DRM business model and provided core content rights information storage in blockchain for tamper-resistant copyrights protection from being misused, and the content consumers can use blockchain-based digital assets for content consumption payment, and the platform can help the content demandside and supply-side trading and the blockchain recorded the trade data as tamper-resistant evidence. Evaluation experiments manifests the proposed scheme is reliable and secure, and provided an efficient methodology for blockchain application business model implementation.

关键词： Blockchain infrastructure Digital rights management Tamper-resistance DRM trade