检索结果-内蒙古大学图书馆

American Control Conference

作者： A. Brandi A. Ferrara S. Sacone S. Siri C. Vivas F. Rubio the Dept. of Electrical Computer and Biomedical Engineering University of Pavia Italy the Dept. of Informatics Bioengineering Robotics and Systems Engineering University of Genova Italy the Dept. de Ingeniería de Sistemas y Automática Escuela Superior de Ingenieros Universidad de Sevilla Spain

ISBN: (纸本)9781509045839

The objective of the paper is the design of a ramp metering control scheme for freeway systems in which the traffic state estimation is also considered. The development of an approach for estimating the traffic densities is motivated by the fact that traffic flow measurements at some locations are in many cases the only available information obtained by sensors, whereas the knowledge of the traffic density is necessary for determining suitable ramp metering actions. A piecewise-affine version of the Asymmetric Cell Transmission Model is adopted and, on the basis of its operating mode and observability properties, a density estimation mechanism based on switched Luenberger observers is realized. The problem is formulated and solved resorting to Linear Matrix Inequalities. The ramp metering control action is then computed by applying a Model Predictive Control approach that uses state estimates in place of measurements. Some simulation results have been performed to test the effectiveness of the proposed approach.

关键词： estimation freeway systems

来源：评论

学校读者我要写书评

暂无评论

Mortality of Pneumocystis jirovecii pneumonia in intensive care units: a post-hoc analysis of an international multicenter study by ESGCIP and EFISG

引用

Annals of medicine 2025年第1期57卷 2511043页

作者： Daniele Roberto Giacobbe Silvia Dettori Vincenzo Di Pilato Erika Asperges Lorenzo Ball Enora Berti Ola Blennow Bianca Bruzzone Laure Calvet Federico Capra Marzani Antonio Casabella Sofia Choudaly Anais Dartevel Gennaro De Pascale Gabriele Di Meco Melissa Fallon Louis-Marie Galerneau Miguel Gallego Mauro Giacomini Adolfo González Saez Luise Hänsel Giancarlo Icardi Philipp Koehler Katrien Lagrou Tobias Lahmer Philip Lewis White Laura Magnasco Anna Marchese Cristina Marelli Mercedes Marín Arriaza Ignacio Martin-Loeches Armand Mekontso-Dessap Malgorzata Mikulska Marco Muccio Alessandra Mularoni Anna Nordlander Julien Poissy Giovanna Russelli Alessio Signori Carlo Tascini Louis-Maxime Vaconsin Joel Vargas Antonio Vena Joost Wauters Paolo Pelosi Jean-Francois Timsit Matteo Bassetti Department of Health Sciences (DISSAL) University of Genoa Genoa Italy. Infectious Diseases Unit IRCCS Ospedale Policlinico San Martino Genoa Italy. Department of Surgical Sciences and Integrated Diagnostics (DISC) University of Genoa Genoa Italy. UO Microbiologia IRCCS Ospedale Policlinico San Martino Genoa Italy. Division of Infectious Diseases Fondazione IRCCS Policlinico San Matteo Pavia Italy. Anesthesia and Critical Care Unit IRCCS Ospedale Policlinico San Martino Genoa Italy. Assistance Publique - Hôpitaux de Paris DMU Médecine Service de Médecine Intensive Réanimation Hôpital Henri Mondor Hôpitaux Universitaires Henri Mondor Créteil France. Department of Infectious Diseases Karolinska University Hospital Stockholm Sweden. Unit of Infectious Diseases Department of Medicine Huddinge Karolinska Institute Stockholm Sweden. Hygiene Unit San Martino Policlinico Hospital - IRCCS for Oncology and Neurosciences Genoa Italy. Service de Médecine Intensive Réanimation CHU de Clermont-Ferrand Clermont-Ferrand France. Servizio di Anestesia e Rianimazione 1 Fondazione IRCCS Policlinico San Matteo Pavia Italy. Microbiology Unit Laboratory Service Parc Taulí Hospital Universitari Institut d'Investigació i Innovació Parc Taulí (I3PT) Universitat Autònoma de Barcelona Sabadell Spain. Unité de Glycobiologie Structurale et Fonctionnelle Lille France. Medical Intensive Care Unit Grenoble Alpes University Hospital Grenoble France. Dipartimento di scienze dell'emergenza anestesiologiche e della rianimazione Fondazione Policlinico Universitario A. Gemelli IRCCS Rome Italy. Università Cattolica del Sacro Cuore Rome Italy. Public Health Wales Mycology Reference Laboratory PHW Microbiology Cardiff University Hospital of Wales Cardiff UK. Respiratory Department Parc Taulí Hospital Universitari Institut d'Investigació i Innovació Parc Taulí (I3PT) Universitat Autònoma de Barcelona Sabadell Spain. Centro de Investigación Biomédica En Red de Enfermedades Respiratorias (CIB

BACKGROUND:pneumonia (PJP) is a life-threatening disease. In the intensive care unit (ICU), PJP is most frequently observed among patients with several conditions not related to the human immunodeficiency virus (HIV) infection. METHODS:The primary objective of the present post-hoc analysis of a multicenter, multinational, retrospective study was to assess factors impacting prognosis in ICU patients with PJP through univariable and multivariable analyses. RESULTS:A total of 107 patients were included; 28 had proven PJP (26.2%), and 79 had presumptive PJP (73.8%). The overall 30-day mortality was 52.7% (95% confidence interval [CI] 42.1-62.2). In the multivariable analysis, metastatic solid tumor (hazard ratio [HR] 3.49; 95% CI 1.71-7.13, < 0.001) and chronic liver disease (HR 2.44; 95% CI 1.03-5.80, = 0.044) showed an independent association with 30-day mortality. The direction of effect remained consistent when center was added to the multivariable model as random effect. CONCLUSION:PJP mortality remains high in ICU patients. Conditions other than HIV infection are emerging not only as non-classical risk factors for PJP development, but also as important mortality predictors. A better understanding of the reasons underlying this evolving landscape could be crucial to improve PJP management and survival.

关键词： ICU PCP PJP Pneumocystis mortality pneumonia

来源：评论

学校读者我要写书评

暂无评论

Towards an Integrated and Human-friendly Path Following and Obstacle Avoidance Behaviour for Robots

Towards an Integrated and Human-friendly Path Following and ...

引用

IEEE International Symposium on Robot and Human Interactive Communication

作者： Camilla Bassani Antonello Scalmato Fulvio Mastrogiovanni Antonio Sgorbissa Microsoft Italy Italy Department of Informatics Bioengineering Robotics and Systems Engineering University of Genoa Italy

ISBN: (纸本)9781509039302

This paper proposes an integrated path following and obstacle avoidance framework for robots in crowded environments. The architecture considers two major requirements: (i) a given performance level for path following must be guaranteed;(ii) human-friendly robots must behave predictably and naturally, in order to avoid dangerous people reactions. In order to generate paths perceived as natural, and inspired by what happens in high traffic highways, we assume a path to consist of a family of curves, which can be switched using sensory information. The resulting behaviour is both predictable (paths are planned and validated beforehand) and natural (the overall qualitative behaviour is maintained when switching curves). The overall error is upper bounded by the curves configuration. The paper presents results in simulation.

关键词： Collision avoidance Robot sensing systems Switches Mobile robots Safety Computer architecture Collision avoidance Manipulator sensing systems Computer Architecture Mobile robots Robot Switches Consumer safety safety Integrate Byways Obstacle avoidance Curves Level of Performance

来源：评论

学校读者我要写书评

暂无评论

Robotic evaluation of fall risk in older people: Results on trunk parameters in static and dynamic balance conditions by hunova robot

引用

Annals of Physical and Rehabilitation Medicine 2018年 61卷 e339-e339页

作者： Squeri, V. De Luca, A. Cella, A. Vallone, F. Siri, G. Zigoura, E. Giorgeschi, A. Tavella, E. Puntoni, M. Avella, M. Garofalo, V. Aguzzoli, P. De Michieli, L. Saglia, J. Sanfilippo, C.A. Alberto, P. Istituto Italiano di Tecnologia (IIT) Rehab Technologies IIT INAIL Lab Genoa Italy University of Genoa Department of Informatics Bioengineering Robotics and Systems Engineering Genoa Italy E.O. Galliera Hospital Department Geriatric Care Orthogeriatrics and Rehabilitation Genoa Italy E.O. Galliera Hospital Scientific Coordination Unit Genoa Italy

Introduction/Background Maintaining balance depends on the integration of sensory, proprioceptive and vestibular information to appropriately adjust movements responses to different postural conditions. hunova is a new robotic device developed and validated to perform functional evaluation and sensorimotor rehabilitation of lower limbs and trunk in static and dynamic environments. Aim of this study was to evaluate balance parameters in older subjects with different risk of fall. Material and method One hundred subjects aged ≥ 65 years (mean age 77.17 ± 6.49 SD years) were enrolled. According to the number of falls in the last 12 months, participants were allocated to low, medium or high-risk of fall. Balance was evaluated by hunova in static, unstable and perturbating conditions, in both standing/seated positions and with open/closed eyes. Parameters were: sway area (SA), path length (PL), range of oscillations in anterior-posterior (OAP) and mediolateral directions (OML) in both platform and trunk oscillations. Statistical analysis was carried out by means of Kruskal–Wallis test on medians and Spearman correlation test. Results Older fallers had higher trunk PL both in unstable [fallers, median (IQR): 32.5 (23.35) vs. non-faller 43.79 (29.21) (deg), P < 0.01] and moving [fallers 35.94 (22.12) vs. non-faller 45.27 (31.29) (deg), P < 0.05] platform in standing with open eyes condition. Trunk SA and OML were significantly different in subjects with different fall risk classes in perturbating conditions when seated with closed eyes. Trunk parameters in unstable and perturbating conditions showed also a strong and significative correlation with age ( P < 0.01). Conclusion Hunova robot was able to detect physiological components involved in balance maintenance in older subjects with different fall risk. This evaluation could be crucial to prevent falls and to plan rehabilitation programs in older subjects at different risk of falls.

关键词： Fall risk Elderly Robotic evaluation

来源：评论

学校读者我要写书评

暂无评论

Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

arXiv

引用

arXiv 2019年

作者： Snyder, Michael P. Lin, Shin Posgai, Amanda Atkinson, Mark Regev, Aviv Rood, Jennifer Rozenblatt-Rosen, Orit Gaffney, Leslie Hupalowska, Anna Satija, Rahul Gehlenborg, Nils Shendure, Jay Laskin, Julia Harbury, Pehr Nystrom, Nicholas A. Bar-Joseph, Ziv Zhang, Kun Börner, Katy Lin, Yiing Conroy, Richard Procaccini, Dena Roy, Ananda L. Pillai, Ajay Brown, Marishka Galis, Zorina S. Cai, Long Shendure, Jay Trapnell, Cole Lin, Shin Jackson, Dana Snyder, Michael P. Nolan, Garry Greenleaf, William James Lin, Yiing Plevritis, Sylvia Ahadi, Sara Lee, Hayan Nevins, Stephanie Esplin, Ed Horning, Aaron Bahmani, Amir Zhang, Kun Sun, Xin Jain, Sanjay Hagood, James Kharchenko, Peter Atkinson, Mark Bodenmiller, Bernd Brusko, Todd Clare-Salzler, Michael Nick, Harry Otto, Kevin Posgai, Amanda Wasserfall, Clive Maffioletti, Sergio Caprioli, Richard M. Spraggins, Jeffrey M. Gutierrez, Danielle Patterson, Nathan Heath Neumann, Elizabeth K. Harris, Raymond deCaestecker, Mark de Plas, Raf Van Lau, Ken Cai, Long Yuan, Guo-Cheng Zhu, Qian Dries, Ruben Yin, Peng Saka, Sinem K. Kishi, Jocelyn Y. Wang, Yu Goldaracena, Isabel Laskin, Julia Ye, DongHye Burnum-Johnson, Kristin E. Piehowski, Paul D. Ansong, Charles Zhu, Ying Harbury, Pehr Desai, Tushar Mulye, Jay Chou, Peter Nagendran, Monica Bar-Joseph, Ziv Teichmann, Sarah A. Paten, Benedict Murphy, Robert F. Ma, Jian Kiselev, Vladimir Yu Kingsford, Carl Ricarte, Allyson Ruffalo, Matthew Gehlenborg, Nils Kharchenko, Peter Vella, Margaret McCallum, Chuck Börner, Katy Cross, Leonard E. Friedman, Samuel H. Heiland, Randy Herr, Bruce Macklin, Paul Quardokus, Ellen M. Record, Lisel Sluka, James P. Weber, Griffin M. Nystrom, Nicholas A. Silverstein, Jonathan C. Blood, Philip D. Ropelewski, Alexander J. Shirey, William E. Mabee, Paula Lenhardt, W. Christopher Robasky, Kimberly Michailidis, Stavros Satija, Rahul Marioni, John Regev, Aviv Butler, Andrew Stuart, Tim Fisher, Eyal Ghazanfar, Shila Rood, Jennifer Gaffney, Leslie Ersalan, Gokcen Biancalani, Tommaso Conroy, Richard Procaccini, Dena Roy, Anan School of Medicine Stanford University 300 Pasteur Drive United States Department of Genetics Stanford School of Medicine StanfordCA94305 United States Department of Medicine University of Washington SeattleWA98195 United States Department of Pathology University of Florida Diabetes Institute GainesvilleFL32610 United States Klarman Cell Observatory Broad Institute of MIT and Harvard CambridgeMA02142 United States Howard Hughes Medical Institute Koch Institute of Integrative Cancer Research Department of Biology Massachusetts Institute of Technology CambridgeMA02140 United States New York Genome Center New York CityNY10013 United States New York University New YorkNY10012 United States Department of Biomedical Informatics Harvard Medical School BostonMA02115 United States Department of Genome Sciences University of Washington SeattleWA98105 United States Department of Chemistry Purdue University West LafayetteIN47907 United States Department of Biochemistry Stanford University School of Medicine StanfordCA94305 United States Pittsburgh Supercomputing Center Carnegie Mellon University PittsburghPA15213 United States Department of Computational Biology School of Computer Science Carnegie Mellon University PittsburghPA15213 United States Department of Bioengineering University of California San Diego La JollaCA92093 United States Department of Intelligent Systems Engineering School of Informatics Computing and Engineering Indiana University BloomingtonIN47408 United States Department of Surgery Washington University School of Medicine St LouisMO63110 United States Division of Program Coordination Planning and Strategic Initiatives National Institutes of Health BethesdaMD20892 United States National Human Genome Research Institute National Institutes of Health BethesdaMD20892 United States National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Caltech-UW TMC Departmen

Transformative technologies are enabling the construction of three dimensional (3D) maps of tissues with unprecedented spatial and molecular resolution. Over the next seven years, the NIH Common Fund Human Biomolecular Atlas Program (HuBMAP) intends to develop a widely accessible framework for comprehensively mapping the human body at single-cell resolution by supporting technology development, data acquisition, and detailed spatial mapping. HuBMAP will integrate its efforts with other funding agencies, programs, consortia, and the biomedical research community at large towards the shared vision of a comprehensive, accessible 3D molecular and cellular atlas of the human body, in health and various disease settings. Copyright © 2019, The Authors. All rights reserved.

关键词： Mapping

来源：评论

学校读者我要写书评

暂无评论

A model predictive control approach for the optimization of polygeneration microgrids and demand response strategies 16

A model predictive control approach for the optimization of ...

引用

16th International Conference on Environment and Electrical engineering, EEEIC 2016

作者： Bracco, Stefano Delfino, Federico Procopio, Renato Rossi, Mansueto Robba, Michela DITEN-Department of Naval Electrical Electronic and Telecommunication Engineering University of Genova Via all'Opera Pia 11a Genova16145 Italy DIBRIS-Department of Informatics Bioengineering Robotics and Systems Engineering University of Genova Via all'Opera Pia 13 Genova16145 Italy

ISBN: (纸本)9781509023196

In this paper, the optimization of a microgrid operating in a 'urban district-like' environment is considered, combining both the optimal scheduling of the microgrid sources and demand response strategies, implemented in the district buildings. In particular, the overall system is optimized in order to schedule generation plants, storage systems, electrical vehicles, deferrable and variable loads with the minimum daily operating costs, taking also into account network constraints. Binary and auxiliary variables have been used to reduce the nonlinearity of the model. Moreover, a technique based on Model Predictive Control (MPC) is proposed to minimize uncertainties coming from renewable resources and to reduce the complexity of the overall decision problem solution. The proposed approach has been developed exploiting, as a reference and practical test-case, the Savona Campus of the Genoa University, where the research infrastructure Smart Polygeneration Microgrid (SPM) is in operation;day-ahead optimization results have been compared with those of the proposed MPC approach. © 2016 IEEE.

关键词： Model predictive control

来源：评论

学校读者我要写书评

暂无评论

Nano risk evaluation in laboratory environment by a customized layer of protection analysis approach

引用

Chemical engineering Transactions 2017年 61卷 1063-1068页

作者： Lunghi, Erika Reverberi, Andrea P. Pastorino, Laura Fabiano, Bruno Civil Chemical and Environmental Engineering Department DICCA Polytechnic School Genoa University via Opera Pia 15 Genoa16145 Italy Chemistry and Industrial Chemistry Dept. DCCI Genoa University via Dodecaneso 31 Genoa16146 Italy Informatics Bioengineering Robotics and System Engineering Dept. via Opera Pia 13 Genoa16145 Italy

Nanotechnologies are widely used in various industrial settings and by the year 2020, it is expected that nearly 20 % of all products manufactured in the world will take a certain amount of nanotechnology. However, there is a substantial imbalance of knowledge between application of nanotechnology and its impact on health and environment, also considering that nanoparticle synthesis by chemical methods assumed a key role for economic, industrial and scale-up issues. The information currently available on nanomaterial risk assessment within the workplace are limited: systematic methods for assessing exposure are not known yet and the number of workers exposed is hardly estimated. This knowledge gap imposes to the scientific community the need to join efforts to provide a shared opinion on safety, health and welfare of workers who use, manipulate, or produce nanomaterials, adopting as well preventive and protective measures proportionated to the risk according to the precautionary principle. We develop a novel framework for Nano Risk Assessment within the laboratory context, by combining LOPA and HazId techniques, assigning credit factors to specific operative procedures and safety training, suitable to mitigate risk exposure and avoid over-conservative evaluations. Conclusions are drawn on applicative results and possible direction for further implementation of the approach, in view of sustainable, healthy and safe production at research and industrial level. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Risk assessment

来源：评论

学校读者我要写书评

暂无评论

Graded possibilistic clustering of non-stationary data streams

Lecture Notes in Computer Science (including subseries Lectu...

引用

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2017年 10147 LNAI卷 139-150页

作者： Abdullatif, A. Masulli, F. Rovetta, S. Cabri, A. DIBRIS-Department of Informatics Bioingengering Robotics and Systems Engineering University of Genoa Via Dodecaneso 35 Genoa16146 Italy VEDECOM Institute Versailles France Sbarro Institute for Cancer Research and Molecular Medicine College of Science and Technology Temple University PhiladelphiaPA United States

Multidimensional data streams are a major paradigm in data science. This work focuses on possibilistic clustering algorithms as means to perform clustering of multidimensional streaming data. The proposed approach exploits fuzzy outlier analysis to provide good learning and tracking abilities in both concept shift and concept drift. © Springer International Publishing AG 2017.

关键词： Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

A comparative analysis of solution algorithms for nonlinear freeway traffic control problems

A comparative analysis of solution algorithms for nonlinear ...

引用

IEEE International Conference on Intelligent Transportation systems

作者： C. Pasquale D. Anghinolfi S. Sacone S. Siri M. Papageorgiou Department of Informatics Bioengineering Robotics and Systems Engineering University of Genova Italy Dynamic Systems and Simulation Laboratory Technical University of Crete Greece

ISBN: (纸本)9781509018901

Objective of this paper is to test and compare different solution algorithms for solving nonlinear freeway traffic control problems. The motivation of this work is related to the fact that the nonlinear problems arising in freeway traffic control are very challenging from a computational point of view, since they are generally characterized by a large number of variables and are often nonlinear and nonconvex. Hence, efficient solution algorithms for solving these problems are required in order to design efficient control frameworks to be applied in large freeway networks, possibly in real time. In this paper, some solution algorithms, either gradient-based or derivative-free, are tested on a specific freeway traffic control problem, i.e. the definition of a two-class ramp metering strategy to reduce congestions and emissions in a freeway.

关键词： Traffic control Optimal control Algorithm design and analysis Vehicles Simulated annealing Nonlinear optics

来源：评论

学校读者我要写书评

暂无评论

Unsupervised analysis of event-related potentials (ERPs) during an emotional Go/NoGo task

Lecture Notes in Computer Science (including subseries Lectu...

引用

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2017年 10147 LNAI卷 151-161页

作者： Masulli, Paolo Masulli, Francesco Rovetta, Stefano Lintas, Alessandra Villa, Alessandro E. P. NeuroHeuristic Research Group University of Lausanne Internef Quartier UNIL Dorigny Lausanne1015 Switzerland Department of Computer Science Bioengineering Robotics and Systems Engineering DIBRIS University of Genova Genova16146 Italy Sbarro Institute for Cancer Research and Molecular Medicine Temple University PhiladelphiaPA United States

We propose a framework for an unsupervised analysis of electroencephalography (EEG) data based on possibilistic clustering, including a preliminary noise and artefact rejection. The proposed data flow identifies the existing similarities in a set of segments of EEG signals and their grouping according to relevant experimental conditions. The analysis is applied to a set of event-related potentials (ERPs) recorded during the performance of an emotional Go/NoGo task. We show that the clusterization rate of trials in two experimental conditions is able to characterize the participants. The extension of the method and its generalization is discussed. © Springer International Publishing AG 2017.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：