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Publisher Correction: Complex virome in feces from Amerindian children in isolated Amazonian villages

Nature communications 2018年第1期9卷 4852页

作者： Juliana D Siqueira Maria Gloria Dominguez-Bello Monica Contreras Orlana Lander Hortensia Caballero-Arias Deng Xutao Oscar Noya-Alarcon Eric Delwart Blood Systems Research Institute San Francisco CA 94118 USA. Programa de Oncovirologia Instituto Nacional de Câncer Rio de Janeiro 20.231-050 Brazil. Department of Biochemistry and Microbiology and of Anthropology Rutgers University New Brunswick NJ 08901-8554 USA. Center for Biophysics and Biochemistry Venezuelan Institute of Scientific Research (IVIC) Caracas 01204 Venezuela. Instituto de Medicina Tropical Universidad Central de Venezuela Caracas 1051 Venezuela. Department of Anthropology Venezuelan Institute of Scientific Research (IVIC) Caracas 01204 Venezuela. Department of Laboratory Medicine University of California at San Francisco San Francisco CA 94118 USA. Amazonic Center for Research and Control of Tropical Diseases (CAICET) Puerto Ayacucho 7101 Venezuela. Blood Systems Research Institute San Francisco CA 94118 USA. delwarte@medicine.ucsf.edu. Department of Laboratory Medicine University of California at San Francisco San Francisco CA 94118 USA. delwarte@medicine.ucsf.edu.

In the original version of this Article, the affiliation details for Eric Delwart were incorrectly given as 'Blood systems research institute, San Francisco, CA 94118, USA and Amazonic Center for research and control of Tropical Diseases (CAICET), Puerto Ayacucho 7101, Venezuela'. The correct affiliations are 'Blood systems research institute, San Francisco, CA 94118, USA and Department of Laboratory Medicine, University of California at San Francisco, San Francisco, CA 94118, USA'. This has been corrected in both the PDF and HTML versions of the Article.

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Continuous task-priority rearrangement during motion execution with a mixture of torque controllers

Continuous task-priority rearrangement during motion executi...

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IEEE-RAS International Conference on Humanoid Robots

作者： Niels Dehio René Felix Reinhart Jochen J. Steil Technische Universitat Braunschweig Braunschweig Niedersachsen DE Fraunhofer IEM Research Institution for Mechatronic Systems Design Paderborn Germany Research Institute for Robotics and Process Control (IPR) Technical University Braunschweig Germany

ISBN: (纸本)9781509047192

When controlling highly redundant humanoid robots multiple motion tasks can be accomplished simultaneously by employing several reactive torque-control modules. Flexible task-prioritization for these modules during motion generation is an open research problem. Null-space based approaches for redundant robots implement a strict, hierarchical prioritization and are not suited for changing the priority-order of the underlying control modules. In contrast, the mixture of controller approach superposes torques from several control modules and thereby enables flexible and continuous task-priority rearrangement. Here we show how to react to environmental changes by blending the corresponding priorities during motion execution. Additionally, we investigate the advantage of regularization when learning new mixture coefficients. The proposed framework is demonstrated for the full 11 DOF upper body of the compliant humanoid robot COMAN in simulation.

关键词： Aerospace electronics Robot sensing systems Optimization Humanoid robots Jacobian matrices Trajectory

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The effectiveness of combining the stages of ore fields development

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Metallurgical and Mining Industry 2015年第5期7卷 401-405页

作者： Golik, Vladimir Komaschenko, Vitaliy Morkun, Vladimir Khasheva, Zarema Geophysical Institute of Vladikavkaz Scientific Center of RAS Russia Belgorod State National Research University Russia Automation and Control Systems Department Kryvyi Rih National University Ukraine Southern Institute of Management Russia

The characteristic of the staged development of ore fields by underground way is given. A strategy is formulated and economic and mathematical models to determine the effectiveness of the combination are proposed. The concept of increasing the utilization of mineral resources by the permanent exposure to minerals at all stages of field development is designated. © 2015. Metallurgical and Mining Industry.

关键词： Soils

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Discounted Markov Decision Processes via Time Aggregation

Discounted Markov Decision Processes via Time Aggregation

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European control Conference

作者： Edilson F. Arruda Marcelo D. Fragoso Industrial Engineering Program Alberto Luiz Coimbra Institute - Graduate School and Research in Engineering Federal University of Rio de Janeiro Rio de Janeiro RJ Brazil Center for Systems and Control National Laboratory for Scientific Computing Petropolis RJ Brazil

ISBN: (纸本)9781509025923

This paper applies two-phase time aggregation to solve discounted Markov decision processes (MDP). This procedure, recently proposed for average cost MDPs, is extended here discounted MDPs with a view at easing the computational burden associated to finding a quality solution within a reasonable time frame. Numerical examples are presented to illustrate the results.

关键词： Discounted Markov Decision Processes Time Aggregation

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A kind of online self-tuning smith predictor

A kind of online self-tuning smith predictor

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IEEE International Conference on Mechatronics and Automation

作者： Xu Chen Fei Meng Xiaopeng Chen Qiang Huang Intelligent Robotics Institute Beijing Institute of Technology Beijing China Beijing Advanced Innovation Center for Intelligent Robots and System Beijing Institute of Technology Beijing China Key Laboratory of Biomimetic Robots and Systems Beijing Institute of Technology Beijing China International Joint Research Laboratory of Biomimetic Key Laboratory of Intelligent Control and Decision of Comp lex System Beijing China

ISBN: (纸本)9781509023974

This paper presents an online self-tuning Smith Predictor for the First Order Plus Dead Time Model (FOPDT). It can tune time delay through oscillated input and output. Realtime phase difference detection is used to obtain the phase difference between the input and the output. An online tuner is used to minimize the phase difference. Once the phase difference is minimized, the exact time delay is completely compensated. Our method is suitable for both systems with constant time delay or variant time delay.

关键词： Delay effects Temperature control Delays Predictive models Oscillators Robots

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control system for neuro-prostheses integrating induced and volitional effort 9

Control system for neuro-prostheses integrating induced and ...

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9th IFAC Symposium on Biological and Medical systems, BMS 2015

作者： Ambrosini, E. Schauer, T. Klauer, C. Pedrocchi, A. Ferrigno, G. Ferrante, S. NeuroEngineering and Medical Robotics Laboratory NearLab Department of Electronics Information and Bioengineering Politecnico di Milano Italy Control Systems Group Technische Universität Berlin Germany Physical Medicine and Rehabilitation Unit Scientific Institute of Lissone Institute of Care and Research Salvatore Maugeri Foundation IRCCS Lissone Italy

To increase the rehabilitation outcomes of stroke patients with weak residual muscle activity, a novel control strategy for Functional Electrical Stimulation (FES) was designed and tested during a tracking task. The system includes an electromyography (EMG)-based feedback controller and a trial-to-trial adaptation of the FES support. The first modulates the stimulation intensity to achieve a desired amount of FES-evoked muscle activity corresponding to a desired FES-induced angular support trajectory. The second iteratively updates this trajectory in order to minimize the error between the target displayed to the patient and the measured angle trajectory. This support adaptation only takes place in case the subject actively contributes to the movement. If the estimated volitional effort is too low, FES support is quickly withdrawn to remind the subject to actively contribute to the tracking task. The EMG signal of the stimulated muscle is used to estimate both the FES-induced and the volitional muscle activity. The feasibility of the proposed control scheme was experimentally investigated in one healthy subject by stimulating the medial deltoid muscle to support shoulder abduction. First, the controller was tested simulating different volitional contributions of a potential patient. The control system adjusted the amount of FES-support as expected. Then, the compensation of muscle fatigue by the feedback controller was demonstrated by repeatedly applying the same desired FES-induced angular trajectories, while the subject was asked to be relaxed. As a result, the control system was able to provide the desired support for about 7 minutes until the stimulation intensity saturated. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Electromyography

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MEMS-based wavelength and orbital angular momentum demultiplexer for on-chip applications

MEMS-based wavelength and orbital angular momentum demultipl...

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Conference on Lasers and Electro-Optics Europe

作者： Vladimir S. Lyubopytov Alexey P. Porfirev Stanislav O. Gurbatov Sujoy Paul Martin F. Schumann Julijan Cesar Mohammadreza Malekizandi Mohammad T. Haidar Martin Wegener Arkadi Chipouline Franko Kuppers Institute for Microwave Engineering and Photonics Technische Universität Darmstadt Merckstr. 25 64283 Darmstadt Germany Department of Photonics Engineering Technical University of Denmark (DTU) Ørsteds Plads 343 2800 Kgs. Lyngby Denmark Samara National Research University Moskovskoye shosse 34 Samara 443086 Russia Image Processing Systems Institute - Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of Russian Academy of Sciences Molodogvardejskaya St. 151 Samara 443001 Russia Far Eastern Federal University 8 Sukhanova Str. Vladivostok 690041 Russia Institute of Automation and Control Processes Far Eastern Branch of the Russian Academy of Sciences (IACP FEB RAS) Radio Str. 5 Vladivostok 690041 Russia Institute of Nanotechnology Karlsruhe Institute of Technology (KIT) 76021 Karlsruhe Germany Institute of Applied Physics Karlsruhe Institute of Technology (KIT) 76128 Karlsruhe Germany

ISBN: (纸本)9781509067374

We demonstrate a new tunable MEMS-based WDM&OAM Fabry-Perot filter for simultaneous wavelength (WDM) and Orbital Angular Momentum (OAM) (de)multiplexing. The WDM&OAM filter is suitable for dense on-chip integration and dedicated for the next generation of optical interconnects utilizing all three degrees of freedom of the electromagnetic waves: wavelength, polarization, and OAM. The WDM&OAM filter consists of two Distributed Bragg Reflectors (DBRs), (see Fig. 1a,b): a bottom one fixed to the substrate and a movable top MEMS DBR. An applied tuning current, changing the resonator length, extends the top DBR and hence selects the central filter wavelength. A spiral phase mask on the top switches the OAM order by ±1, ±2, etc. For a detailed description of the structure and fabrication of the device, please refer to [1,2]. The MEMS filter shows a full-width at half-maximum (FWHM) bandwidth of about 0.2 nm and a free spectral range (FSR) of about 126 nm. The phase mask provides sufficient OAM state purity in a 35 nm window around 1550 nm, covering well the whole C-band.

关键词： Bragg reflectors Distributed Bragg reflectors Optical angular momentum Optical interconnects Phase modulation Spiral phase

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Investigation of upper oligotrophic mires in the middle Ob basin (West Siberia)

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International Journal of Environmental Studies 2015年第3期72卷 434-440页

作者： Rybina, Tatyana A. Bazanov, Vladimir A. Savichev, Oleg G. Skugarev, Andrei A. Berezin, Alexander E. Sechenov, Vyacheslav A. Scientific Research Institute of Biology and Biophysics Tomsk State University Lenina av. 36 Tomsk634050 Russia Department of Hydrogeology Engineering Geology and Hydrogeoecology National Research Tomsk Polytechnic University Lenina av. 30 Tomsk634050 Russia Centre for Space Monitoring of Earth Tomsk State University of Control Systems and Radioelectronics Lenina av. 40 Tomsk634050 Russia

The paper presents results of research into the upper ecosystems and convex forms of peat mires of moss (oligotrophic) type in the Ob basin area. We have determined four types of upper mire ecosystems, and have described their morphometric, botanical and hydro-chemical properties. These studies allow us to evaluate the structure and functioning of the upper mire ecosystems. © 2015 Taylor & Francis.

关键词： Ecosystems

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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