检索结果-内蒙古大学图书馆

作者： West, J. Jason Cohen, Aaron Dentener, Frank Brunekreef, Bert Zhu, Tong Armstrong, Ben Bell, Michelle L. Brauer, Michael Carmichael, Gregory Costa, Dan L. Dockery, Douglas W. Kleeman, Michael Krzyzanowski, Michal Künzli, Nino Liousse, Catherine Lung, Shih-Chun Candice Martin, Randall V. Pöschl, Ulrich Pope, C. Arden Roberts, James M. Russell, Armistead G. Wiedinmyer, Christine Environmental Sciences and Engineering University of North Carolina at Chapel Hill Chapel HillNC27599 United States Health Effects Institute BostonMA02110 United States European Commission Joint Research Centre Institute for Environment and Sustainability IspraI. 21027 Italy Institute for Risk Assessment Sciences Universiteit Utrecht Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht3584 CJ Netherlands State Key Lab for Environmental Simulation and Pollution Control College of Environmental Science and Engineering Peking University Beijing100871 China Social and Environmental Health Research London School of Hygiene and Tropical Medicine LondonWC1E 7HT United Kingdom School of Forestry and Environmental Studies Yale University New HavenCT06511 United States School of Population and Public Health University of British Columbia VancouverBCV6T 1Z3 Canada Chemical and Biochemical Engineering University of Iowa Iowa CityIA52242 United States Air Climate and Energy Research Program Office of Research and Development Environmental Protection Agency DurhamNC27705 United States Harvard T. H. Chan School of Public Health BostonMA02115 United States Civil and Environmental Engineering University of California at Davis DavisCA95616 United States Environmental Research Group King's College London LondonSE1 9NH United Kingdom Epidemiology and Public Health Swiss Tropical and Public Health Institute Basel Switzerland University of Basel Basel Switzerland Laboratoire d' Aérologie CNRS-Université de Toulouse Toulouse31400 France Research Center for Environmental Changes Academia Sinica Taipei Taiwan Physics and Atmospheric Science Dalhousie University HalifaxNSB3H 4R2 Canada Harvard-Smithsonian Center for Astrophysics CambridgeMA02138 United States Multiphase Chemistry Department Max Planck Institute for Chemistry Mainz55128 Germany Economics Brigham Young University ProvoUT84602 United States Ea

Air pollution contributes to the premature deaths of millions of people each year around the world, and air quality problems are growing in many developing nations. While past policy efforts have succeeded in reducing particulate matter and trace gases in North America and Europe, adverse health effects are found at even these lower levels of air pollution. Future policy actions will benefit from improved understanding of the interactions and health effects of different chemical species and source categories. Achieving this new understanding requires air pollution scientists and engineers to work increasingly closely with health scientists. In particular, research is needed to better understand the chemical and physical properties of complex air pollutant mixtures, and to use new observations provided by satellites, advanced in situ measurement techniques, and distributed micro monitoring networks, coupled with models, to better characterize air pollution exposure for epidemiological and toxicological research, and to better quantify the effects of specific source sectors and mitigation strategies. © 2016 American chemical Society.

关键词： Health

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Facile Synthesis of Sulfur Doped Graphene Using an Electchemical Method and Its Sensing Application for Tracing Heavy Metal Ions

Facile Synthesis of Sulfur Doped Graphene Using an Electchem...

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2015中国国际石墨烯创新大会

作者： Zehui Li Mingjie Li Chenming Liu Lan Yang Chuan Shi Hongbin Cao Yi Zhang University of Chinese Academy of Sciences Beijing 100049 China Qingdao Institue of Bioenergy and Bioprocess Technology Chinese Academy of SciencesShandong 266101 China School of Chemical & Environmental Engineering China University of Mining and TechnologyBeijing 100083 China Beijing Engineering Research Center of Process Pollution Control Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 China Environmental Research Academy North China Electric Power University Beijing 102206 China

Sulfur-doped graphene (SG) was prepared using an easily controllable electrochemical method, in which graphene oxide (GO) underwent a constant cathodic potential electrolysis in the sulfoureacontaining electrolyte;and consequently GO was partially electrochemically reduced to reduced GO while sulfur element was doped onto the surface of graphene *** SG was characterized by transmission electron microscopy, X-ray photoelectron spectroscopy and cydic voltammetry to confirm its successful synthesis.

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Removal of pharmaceutical and personal care products by sequential ultraviolet and ozonation process in a full-scale wastewater treatment plant

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Frontiers of Environmental Science & Engineering 2014年第1期8卷 62-68页

作者： Qian SU Jun HUANG Shuguang LU Shubo DENG Bin WANG Wentao ZHAO Zhaofu QIU Gang YU State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resources and Environmental Engineering East China University of Science and Technology Shanghai 200237 China School of Environment THU - VEOLIA Joint Research Center for Advanced Environmental Tec'hnolo~y Tsinghua'University Beijing 100084 China State Key Laboratory of Pollution Control and Resource Reuse Tongji University Shanghai 200092 China State Environmental Protection Key Laboratory of Microorganism Application and Risk Control (MARC) Tsinghua University Beijing 10084 China

The application of appropriate advanced treat- ment process in the municipal wastewater treatment plants （WWTPs） has become an important issue considering the elimination of emerging contaminants, such as pharma- ceutical and personal care products （PPCPs）. In the present study, the removal of 13 PPCPs belonging to different therapeutic classes by the sequential ultraviolet （UV） and ozonation process in a full-scale WWTP in Beijing was investigated over the course of ten months. Most of the target PPCPs were effectively removed, and the median removal efficiencies of individual PPCPs, ranging from -13% to 89%, were dependent on their reaction rate constants with molecular ozone. Noticeable fluctuation in the removal efficiencies of the same PPCPs was observed in different sampling campaigns. Nevertheless, the sequential UV and ozonation process still made a significant contribution to the total elimination of most PPCPs in the full-scale WWTP, by compensating for the poor or fluctuant removal performance of PPCPs by biologic treatment process.

关键词： PPCPs advanced treatment ozone fluctua-tion removal contribution

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18th European Symposium on Radiopharmacy and Radiopharmaceuticals Salzburg, Austria. 7-10 April 2016

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EJNMMI RADIOPHARMACY AND CHEMISTRY 2016年第1期1卷 1-37页

作者： [Anonymous] Los Alamos National Laboratory Los Alamos USA Oak Ridge National Laboratory Oak Ridge USA Department of Nuclear Medicine Medical University Innsbruck Innsbruck Austria Department of Radiology & Nuclear Medicine Radboud University Medical Center Nijmegen The Netherlands Institute of Molecular and Translational Medicine Faculty of Medicine and Dentistry Palacky University Olomouc Czech Republic Département de Médecine Nucléaire et Radiobiologie Faculté de Médecine et Sciences de la Santé Université de Sherbrooke Sherbrooke Canada Centre d’Imagerie Moléculaire de Sherbrooke (CIMS) CR-CHUS Sherbrooke Canada Division of Molecular Biology/Biocenter Medical University Innsbruck Innsbruck Austria Department of Nuclear Medicine Radboud University Medical Center Nijmegen The Netherlands IENI-CNR Padua Italy DiSCOG-University of Padua Padua Italy IOV Padua Padua Italy IC-CNR Bari Italy IBB-CNR Naples Italy Laboratory of Radiopharmacy KU Leuven Leuven Belgium Micro Flow Chemistry & Process Technology Chemical Engineering and Chemistry Department TU Eindhoven Eindhoven The Netherlands Laboratory for Radiopharmacy University of Leuven Leuven Belgium Department of Nuclear Medicine and Molecular Imaging University of Leuven Leuven Belgium Department of Medicine and Surgery Tecnomed Foundation University of Milano-Bicocca Milan Italy Dipartimento di Biotecnologie Mediche e Medicina Traslazionale Università degli Studi di Milano Milan Italy Department of Radiology & Nuclear Medicine VU University Medical Center Amsterdam The Netherlands Department of Clinical Pharmacology & Pharmacy VU University Medical Center Amsterdam The Netherlands Université de Lorraine Vandoeuvre les Nancy France NancycloTEP Plateforme d’imagerie expérimentale Vandoeuvre les Nancy France CNRS UMR 7565 SRSMC Vandoeuvre les Nancy France CHU de Nancy-Brabois Vandoeuvre les Nancy France Department of Biomedical Imaging and Image-guided Therapy Division of Nuclear Medicine Medical Univers

Table of contents OP03 Selective extraction of medically-related radionuclides from proton-irradiated thorium targets V. Radchenko, J.W. Engle, C. Roy, J. Griswold, M.F. Nortier, E.R. Birnbaum, M. Brugh, S. Mirzadeh, K. D. John, M.E. Fassbender OP04 Comparison of [68Ga]FSC(succ-RGD)3 and [68Ga]NODAGA-RGD for PET imaging of alpha v beta 3 integrin expression Chuangyan Zhai, Gerben M. Franssen, Milos Petrik, Peter Laverman, Clemens Decristoforo OP05 A new NPY-Y1R targeting peptide for breast cancer PET imaging Ait-Mohand Samia, Dumulon-Perreault Veronique, Guerin Brigitte OP06 The influence of multivalency on CCK 2 receptor targeting D. Summer, A. Kroess, C. Rangger, H. Haas, P. Laverman, F. Gerben, E. von Guggenberg, *** OP07 SPECT Imaging of alpha v beta 3 Expression by [99mTc(N)PNP43]- Bifunctional Chimeric RGD Peptide not Cross-Reacting with alpha v beta 5 Cristina Bolzati, Nicola Salvarese, Fiorenzo Refosco, Laura Melendez-Alafort, Debora Carpanese, Antonio Rosato, Michele Saviano, Annarita Del Gatto, Daniela Comegna, Laura Zaccaro OP09 New dienophiles for the inverse-electron-demand Diels-Alder reaction and for pretargeted PET imaging Emilie Billaud, Muneer Ahamed, Frederik Cleeren, Elnaz Shahbazali, Tim Noel, Volker Hessel, Alfons Verbruggen and Guy Bormans OP10 New complexing agent for Al18F-labelling of heat-sensitive biomolecules: Synthesis and preclinical evaluation of Al18F-RESCA1-HAS Cleeren F, Lecina J, Koole M, Verbruggen A and Bormans G OP11 A novel versatile precursor efficient for F-18 radiolabelling via click-chemistry B. Lugatoa, S. Stucchia, E.A. Turollaa, L. Giulianoa, ***, P. Ferraboschib OP12 A general applicable method to quantify unidentified UV impurities in radiopharmaceuticals R.P. Klok, M.P.J. Mooijer, N.H. Hendrikse, A.D. Windhorst OP13 Development of [F-18]Fluoro-C-glycosides to radiolabel peptides Collet C., Petry N., Chretien F., Karcher G., Pellegrini-Moise N., Lamande-Langle S. OP14 A Microfluidic Approach for the 68

关键词： Positron Emission Tomography Single Photon Emission Compute Tomography Standard Uptake Value Positron Emission Tomography Imaging High Pressure Liquid Chromatography

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Correntropy-based kernel learning for nonlinear system identification with unknown noise: An industrial case study

Correntropy-based kernel learning for nonlinear system ident...

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10th IFAC Symposium on Dynamics and control of process Systems, DYCOPS 2013

作者： Liu, Yi Chen, Junghui Engineering Research Center of Process Equipment and Remanufacturing Ministry of Education Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou 310014 Zhejiang China R and D Center for Membrane Technology Department of Chemical Engineering Chung-Yuan Christian University Chung-Li 320 Taiwan

ISBN: (纸本)9783902823595

One significant challenge in nonlinear system identification development for industrial processes is that the modeling samples often contain outliers and unknown noise. In this paper, a novel Correntropy-based Kernel Learning (CKL) method is proposed for identification of nonlinear systems with such uncertainty. Without resort to unnecessary efforts, the CKL identification method can reduce the effects of outliers by the use of a robust nonlinear estimator that maximizes correntropy. The superiority of the proposed CKL method is demonstrated through identification of an industrial process in Taiwan. The benefit of its more accurate and reliable performance indicates that CKL is promising in practice for identification of nonlinear systems with unknown noise. © IFAC.

关键词： Nonlinear systems

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Fuzzy modeling of activated sludge wastewater treatment processes and predictive control of dissolved oxygen

Fuzzy modeling of activated sludge wastewater treatment proc...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Ting Yang Lixian Zhang Mohammed Chadli Research Center of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang China Process System Engineering Laboratory MIT USA Laboratory of Modeling Information and Systems University of Picardie Jules Verne Amiens France

ISBN: (纸本)9781467351942

In this paper, the problems of fuzzy modeling of activated sludge wastewater treatment processes and predictive control of dissolved oxygen are investigated. A structure identification algorithm is proposed, by which the structure of the fuzzy rules can be constructed according to the Activated Sludge Model No.1 (ASM1). Utilizing the fuzzy c-means cluster algorithm, the required fuzzy space of input variables is derived and the consequent parameters are identified using the method of least squares. Based on the obtained fuzzy model, the control signal is formulated by solving a convex optimization problem such that the dissolved oxygen concentration in an aerobic reactor of the wastewater treatment plant can be maintained at the set-point. Compared with the traditional PID control, the proposed fuzzy modelbased predictive control paradigm achieves satisfactory benefits in terms of both transient and steady performance.

关键词： Predictive models Wastewater treatment Predictive control Mathematical model Data models Inductors

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Correntropy-based kernel learning for nonlinear system identification with unknown noise: an industrial case study

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IFAC Proceedings Volumes 2013年第32期46卷 361-366页

作者： Yi Liu Junghui Chen Engineering Research Center of Process Equipment and Remanufacturing Ministry of Education Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou 310014 Zhejiang P. R. China (Tel: +86-571-8887-1060 R&D Center for Membrane Technology Department of Chemical Engineering Chung-Yuan Christian University Chung-Li Taiwan 320 Republic of China (Tel.: +886-3-2654107 Fax: +886-3-2654199

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An optimal control problem in closed-loop neuroprostheses

An optimal control problem in closed-loop neuroprostheses

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IEEE Conference on Decision and control

作者： Gautam Kumar Vikram Aggarwal Nitish V. Thakor Marc H. Schieber Mayuresh V. Kothare Chemical Process Modeling and Control Center Department of Chemical Engineering Lehigh University Bethlehem PA USA Department of Biomedical Engineering Johns Hopkins University Baltimore MD USA Department of Neurobiology and Anatomy University of Rochester Medical Center Rochester NY USA

ISBN: (纸本)9781612848006;9781612848013

A control-theoretic study of complex systems such as closed-loop neural prostheses exhibits several challenges, from the design of an optimal feedback control problem to its solution. In this paper we study one such system, a closed-loop voluntary movement of a prosthetic finger using electrophysio-logical activities of a single cortical motor neuron. We develop an optimal feedback control problem in the nonlinear receding horizon based terminal set constraint framework. We analyze the feasibility and stability of the control problem. Further, we solve the control problem numerically by implementing a local optimum based nonconvex nonlinear programming algorithm. Finally, we study effects of visual and proprioceptive feedback pathways on the closed-loop system. Our results elucidate the importance of multiple feedback paths in designing a closed-loop neural prosthetic system.

关键词： Prosthetics Neurons Visualization Noise Optimization Torque Indexes

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Modified recursive partial least squares algorithm with application to modeling parameters of ball mill load

Modified recursive partial least squares algorithm with appl...

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作者： Tang, Jian Zhao, Lijie Yu, Wen Chai, Tianyou Yue, Heng Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang 110004 China College of Information Engineering Shenyang University of Chemical Technology Shenyang110142 China Departamento de Control Automatico CINVESTAV-IPN Av.IPN 2508 México D.F. 07360 Mexico Research Center of Automation Northeastern University Shenyang 110004 China

ISBN: (纸本)9789881725592

Recursive partial least squares (RPLS) regression is effectively used in process monitoring and modeling to deal with the stronger collinearity of the process variables and slow time-varying property of industrial processes. Aim at the RPLS cannot solve the modeling speed and the accuracy problems effectively, a modified sample-wise RPLS algorithm is proposed in this paper. It updates the PLS model according to the process status. We use the approximate linear dependence (ALD) condition to check each new sample. The model is reconstructed recursively such that the new samples satisfy the ALD condition. Experimental study on modeling parameters of ball mill load shows that the proposed modified RPLS algorithm is computationally faster, and the modeling accuracy is higher than conventional RPLS for the time-varying process. © 2011 Chinese Assoc of Automati.

关键词： Parameter estimation

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Vibration Analysis Based on Empirical Mode Decomposition and Partial Least Square

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Procedia Engineering 2011年 16卷 646-652页

作者： Jian Tang Lijie Zhao Heng Yue Wen Yu Tianyou Chai State Key Laboratory of Integrated Automation for Process Industry (Northeastern University) Shenyang 110004 China Shenyang university of chemical technology Shenyang 110142 China Research Center of Automation Northeastern University Shenyang 110004 China Departamento de Control Automatico CINVESTAV-IPN Av.IPN 2508 México D.F. 07360 México

Accurate detection of the ball mill load is one of the key factors to realize the automatic control of the grinding process. The shell vibration acceleration signal contains lots of useful information about the parameters of mill load, especially pulp density (PD). A empirical mode decomposition (EMD), fast Fourier transform (FFT) and partial least square (PLS) based approach is used to analyze the shell vibration signal and construct the PD soft sensor model. The EMD technology is used to decompose the shell vibration signals into a number of intrinsic mode functions (IMFs). Then, the power spectral density (PSD) of each IMFs is obtained using FFT. At last, pulp density model based PLS algorithm is constructed, which also is used to analyze the PSD of every IMFs. The experimental results show that the proposed approach is effective to analyze the shell vibration and modeling the PD.

关键词： empirical mode decomposition (EMD) power spectral density (PSD) partial least square(PLS) shell vibration pulp density (PD)

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