检索结果-内蒙古大学图书馆

International Conference on Virtual Reality and Visualization (ICVRV)

作者： Yuanyuan Li Xun Luo Edwin Lobo Andrea Pilco Yi Chen School of Computer Science and Engineering Tianjin University of Technology Tianjin China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China Beijing Key Laboratory of Big Data Technology for Food Safety School of Computer and Information Engineering Beijing Technology and Business University Beijing China

ISBN: (纸本)9781538626375;9781538626368

This paper proposes wireless ad hoc network simulation based on virtual reality technology. Functional components provided by a game engine such as scene management, animation, rendering, scripting, and physics engine can provide suitable interfaces for ad hoc network simulation. Using these components, simulation of ad hoc networks can be easily implemented. The ad-hoc network simulation technology can be carried out in virtual reality by game engine, which is illustrated by advantages of the game engine and the simulation process in this paper. The workability and accuracy of the simulation scheme are demonstrated, with the metrics of comparing the experimental data with other simulation techniques commonly used.

关键词： Solid modeling Games Engines Virtual reality Computational modeling Mobile ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

Global climate

引用

Bulletin of the American Meteorological Society 2020年第8期101卷 S9-S128页

作者： Dunn, R.J.H. Stanitski, D.M. Gobron, N. Willett, K.M. Met Office Hadley Centre Exeter United Kingdom NOAA/OAR Earth System Research Laboratories Boulder Colorado European Commission Joint Research Centre Ispra Italy Met Office Hadley Centre Exeter United Kingdom European Centre for Medium-Range Weather Forecasts Reading United Kingdom University of Maryland College Park Maryland Met Office Hadley Centre Exeter United Kingdom University of Reading Reading United Kingdom Department of Atmospheric and Planetary Science Hampton University Hampton Virginia NOAA/NESDIS National Centers for Environmental Information Asheville North Carolina University of Bremen Bremen Germany NOAA/OAR Earth System Research Laboratories Boulder Colorado Centro de Investigaciones sobre Desertificación - Spanish National Research Council Moncada (Valencia) Spain and Regional Climate Group Department of Earth Sciences University of Gothenburg Gothenburg Sweden Instituto de Geografía Pontificia Universidad Católica de Valparaíso Valparaíso Chile NOAA/OAR ESRL Global Monitoring Laboratory Boulder Colorado Department of Civil and Environmental Engineering Princeton University Princeton New Jersey Global Precipitation Climatology Centre Deutscher Wetterdienst Offenbach Germany University of Reading Reading United Kingdom European Centre for Medium-Range Weather Forecasts Reading United Kingdom National Oceanography Centre Southampton United Kingdom School of Engineering Newcastle University Newcastle-upon-Tyne United Kingdom Université de Paris Institut de physique du globe de Paris CNRS IGN Paris France and ENSG-Géomatique IGN Marne-la-Vallée France Global Modeling and Assimilation Office NASA Goddard Space Flight Center Greenbelt Maryland Sorbonne Université Paris France Universität Hamburg Hamburg Germany Department of Meteorology University of Reading Reading United Kingdom Geology Department University Centre in Svalbard Longyearbyen Norway Jet Propulsion Laboratory California Institute of Technology Wrightwood Calif

来源：评论

学校读者我要写书评

暂无评论

Extortion provides alternative routes to the evolution of cooperation in structured populations

引用

Physical Review E 2017年第5期95卷 052302-052302页

作者： Xiongrui Xu Zhihai Rong Zhi-Xi Wu Tao Zhou Chi Kong Tse CompleX Lab Web Sciences Center University of Electronic Science and Technology of China Chengdu 611731 China Big Data Research Center University of Electronic Science and Technology of China Chengdu 611731 China Department of Electronic and Information Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Institute of Computational Physics and Complex Systems Lanzhou University Lanzhou Gansu 730000 People's Republic of China

In this paper, we study the evolution of cooperation in structured populations (individuals are located on either a regular lattice or a scale-free network) in the context of repeated games by involving three types of strategies, namely, unconditional cooperation, unconditional defection, and extortion. The strategy updating of the players is ruled by the replicator-like dynamics. We find that extortion strategies can act as catalysts to promote the emergence of cooperation in structured populations via different mechanisms. Specifically, on regular lattice, extortioners behave as both a shield, which can enwrap cooperators inside and keep them away from defectors, and a spear, which can defeat those surrounding defectors with the help of the neighboring cooperators. Particularly, the enhancement of cooperation displays a resonance-like behavior, suggesting the existence of optimal extortion strength mostly favoring the evolution of cooperation, which is in good agreement with the predictions from the generalized mean-field approximation theory. On scale-free network, the hubs, who are likely occupied by extortioners or defectors at the very beginning, are then prone to be conquered by cooperators on small-degree nodes as time elapses, thus establishing a bottom-up mechanism for the emergence and maintenance of cooperation.

关键词： Population dynamics Self-organized systems Social systems

来源：评论

学校读者我要写书评

暂无评论

Publisher Correction: Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020

引用

Eye (London, England) 2024年第11期38卷 2229-2231页

作者： Konrad Pesudovs Hugh R. Taylor Tabassom Sedighi Rupert R. A. Bourne Shahina Pardhan Van Charles Lansingh John H. Kempen Ian Tapply Arthur G. Fernandes Maria Vittoria Cicinelli Alessandro Arrigo Nicolas Leveziel Serge Resnikoff Seth Flaxman Mukkharram M. Bikbov Tasanee Braithwaite Alain Bron Ching-Yu Cheng Monte A. Del Monte Joshua R. Ehrlich Leon B. Ellwein David Friedman João M. Furtado Gus Gazzard Ronnie George M. Elizabeth Hartnett Jost B. Jonas Rim Kahloun Moncef Khairallah Rohit C. Khanna Janet Leasher Julie-Anne Little Vinay Nangia Michal Nowak Tunde Peto Pradeep Ramulu Fotis Topouzis Mitiadis Tsilimbaris Ya Xing Wang Ningli Wang Paul Svitil Briant Theo Vos Katrin Burkart Kaleb Coberly Xiaochen Dai Stephen S. Lim Tomislav Mestrovic Ali H. Mokdad Christopher J. L. Murray Jaimie D. Steinmetz Awoke Misganaw Yohannes Habtegiorgis Abate Mohammad Abdollahi Mozhan Abdollahi Ayele Mamo Abebe Olumide Abiodun Richard Gyan Aboagye Woldu Aberhe Abrha Hasan Abualruz Hiwa Abubaker Ali Eman Abu-Gharbieh Salahdein Aburuz Tadele Girum Girum Adal Mesafint Molla Adane Isaac Yeboah Addo Qorinah Estiningtyas Sakilah Adnani Muhammad Sohail Afzal Muhammad Umair Shahin Aghamiri Bright Opoku Ahinkorah Aqeel Ahmad Sajjad Ahmad Ali Ahmadi Siamak Sabour Ayman Ahmed Haroon Ahmed Ahmad Samir Alfaar Abid Ali Syed Shujait Shujait Ali Awais Altaf Hubert Amu Emmanuel Manu Sofia Androudi Rodrigo Anguita Abhishek Anil Rimple Jeet Kaur Muhammad Aaqib Shamim Saeid Anvari Anayochukwu Edward Anyasodor Francis Appiah Jalal Arabloo Haleh Ayatollahi Mosab Arafat Damelash Areda Reza Arefnezhad Brhane Berhe Aregawi Akeza Awealom Asgedom Tahira Ashraf Seyyed Shamsadin Athari Bantalem Tilaye Tilaye Atinafu Birhan Tsegaw Taye Maha Moh’d Wahbi Atout Alok Atreya Ahmed Y. Azzam Hassan Babamohamadi Sara Bagherieh Yogesh Bahurupi Atif Amin Baig Shumaila Nargus Biswajit Banik Mainak Bardhan Saurav Basu Kavita Batra Nebiyou Simegnew Bayileyegn Fatemeh Bazvand Addisu Shunu Beyene Awoke Masrie Asrat Derese Devidas S. Bhagat Akshaya Srikanth Bhagavathula Pankaj Bh Medicine & Health University of New South Wales Sydney NSW Australia School of Optometry and Vision Science University of New South Wales Sydney NSW Australia School of Population and Global Health University of Melbourne Carlton VIC Australia Vision and Eye Research Institute Anglia Ruskin University Cambridge UK HelpMeSee Instituto Mexicano de Oftalmologia Santiago de Querétaro Mexico University of Miami Gables FL USA University of Utah Salt Lake City UT USA Chief Medical Office HelpMeSee New York NY USA Mexican Institute of Ophthalmology Queretaro Mexico Department of Ophthalmology Massachusetts Eye and Ear/Shepens Eye Research Institute/Harvard Medical School Boston MA USA Eye Unit MyungSung Christian Medical Center (MCM) Comprehensive Specialized Hospital and MyungSun Medical College Addis Ababa Ethiopia Department of Ophthalmology Addis Ababa University Addis Ababa Ethiopia Sight for Souls Bellevue WA USA Department of Ophthalmology Harvard University Boston MA USA Eye Unit MyungSung Medical College Addis Ababa Ethiopia Addenbrooke’s Hospital Cambridge UK Department of Ophthalmology Cambridge University Hospitals Cambridge UK Federal University of Sao Paolo Sao Paolo SP Brazil University of Calgary Calgary AB Canada Department of Ophthalmology and Visual Sciences Federal University of São Paulo Sao Paulo Brazil School of Medicine Vita-Salute San Raffaele University Milan Italy Department of Ophthalmology IRCCS San Raffaele Scientific Institute Milan Italy Department of Ophthalmology San Raffaele Scientific Institute Milano Italy IRCCS San Raffaele Scientific Institute Vita-Salute University Milan Italy Scientific Institute San Raffaele Hospital Vita-Salute University Milan Italy University of Poitiers Poitiers France CHU de Poitiers Poitiers France Ophthalmology Department CHU de Poitiers (Poitiers University Hospital) Poitiers France Unité 1084 National Institute of Health and Medical Research (INSERM) Poitiers France

来源：评论

学校读者我要写书评

暂无评论

Temporal inactivation enhances robustness in an evolving system

arXiv

引用

arXiv 2018年

作者： Ogushi, Fumiko Kertész, János Kaski, Kimmo Shimada, Takashi Kyoto University Institute for Advanced Study Kyoto University Yoshida Ushinomiya-cho Sakyo-ku Kyoto606-8501 Japan Center for Materials research by Information Integration National Institute for Materials Science 1-2-1 Sengen Tsukuba Ibaraki305-0047 Japan Department of Network and Data Science Central European University Budapest1051 Hungary Institute of Physics Budapest University of Technology and Economics Budapest1111 Hungary Department of Computer Science Aalto University School of Science P.O. Box 15500 Espoo Finland Alan Turing Institute British Library 96 Euston Road LondonNW1 2DB United Kingdom Mathematics and Informatics Center University of Tokyo Department of Systems Innovation Graduate School of Engineering University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan

We study the robustness of an evolving system that is driven by successive inclusions of new elements or constituents with m random interactions to older ones. Each constitutive element in the model stays either active or is temporarily inactivated depending upon the influence of the other active elements. If the time spent by an element in the inactivated state reaches TW, it gets extinct. The phase diagram of this dynamic model as a function of m and TW is investigated by numerical and analytical methods and as a result both growing (robust) as well as non-growing (volatile) phases are identified. It is also found that larger time limit TW enhances the system's robustness against the inclusion of new elements, mainly due to the system's increased ability to reject "falling-together" type attacks. Our results suggest that the ability of an element to survive in an unfavorable situation for a while, either as a minority or in a dormant state, could improve the robustness of the entire system. Copyright © 2018, The Authors. All rights reserved.

关键词： Numerical methods

来源：评论

学校读者我要写书评

暂无评论

Effect of order flow imbalance on market impact across market states

Effect of order flow imbalance on market impact across marke...

引用

IEEE Symposium on systems and information engineering Design, SIEDS

作者： Andrew Kromkowski Mason Montgomery Kaustav Saha Feiyin Wu Peter Beling University of Virginia Data Science Institute Department of Systems and Information Engineering University of Virginia

Every time a trader places an order to buy or sell a stock, this order causes reactions that change the market in highly complex ways. In theory these changes are always detrimental to the trader, causing the stock to become more expensive when buying and cheaper when selling. For large hedge funds, these costs have the potential to become a major obstruction to profitability when aggregated. Market impact models have been based on simple supply and demand, no arbitrage theory, and Brownian motion. These previous models have shown that the market impact of orders and trades can be largely explained using a linear model with Order Flow Imbalance (OFI), a simple measure of the buy/sell imbalance of quote orders placed to the National Best Bid and Offer (NBBO) in a window of time, as the sole predictor. By examining this relationship between OFI and price movement, previous studies have derived observable measures for the market impact of orders placed in a period of time, however these models are unsurprisingly noisy. Using a simple Brownian motion model for the movement of prices, we propose a new method for observing this price impact and compare it to previously accepted models. We then use this measure to examine how price impact varies across market states (i.e. volume, time of day, and spread).

关键词： Biological system modeling Predictive models Time measurement Mathematical model Conferences Supply and demand Linear regression

来源：评论

学校读者我要写书评

暂无评论

Predicting mortality risk associated with serious treatable surgical complications at the University of Virginia health system

Predicting mortality risk associated with serious treatable ...

引用

IEEE Symposium on systems and information engineering Design, SIEDS

作者： Jason Adams Sharath Pingula Akshat Verma Abigail Flower Data Science Institute University of Virginia Department of Systems and Information Engineering University of Virginia

This study focuses on predicting the risk of occurrence of serious but treatable complications and subsequent risk of mortality using a patient's preoperative conditions. Serious treatable complications include deep vein thrombosis/ pulmonary embolism, pneumonia, sepsis, and shock/cardiac arrest. These complications, if not identified and treated in time, can cause lengthened hospital stays, morbidity, and in some cases, mortality. We have modeled the risk of developing complications, and mortality due to complications, using a hierarchical prediction approach. In the first level of the hierarchy, extreme gradient boosted trees with cost sensitive weighting was used to model the risk of each complication and to identify the factors responsible for each type of complication. In the second level, similar statistical methods were used but on a smaller population set of patients, specifically those who developed one or more complications, to predict the risk of mortality. In our population of 32,202 patients, 963 developed one of the complications of interest, and of those with complications 174 died. Our predictions for sepsis, pneumonia, cardiac shock, and deep vein thrombosis/ pulmonary embolism, resulted in mean AUC values of 0.815, 0.935, 0.854, and 0.879 respectively. When making mortality predictions we achieved a mean AUC of 0.921. A propensity score analysis of patients that were predicted to be low risk but actually developed a complication was also performed. The framework proposed in this study provides hospitals with a way to more closely examine patient data regarding quality metrics by enabling them to identify patient born risks before surgical procedures are performed.

关键词： Surgery Sociology Statistics Predictive models Hospitals Lungs Diseases

来源：评论

学校读者我要写书评

暂无评论

The CALorimetric Electron Telescope (CALET) on the International Space Station: Results from the First Two Years On Orbit

引用

Journal of Physics: Conference Series 2019年第1期1181卷

作者： Y Asaoka O Adriani Y Akaike K Asano M G Bagliesi E Berti G Bigongiari W R Binns S Bonechi M Bongi A Bruno P Brogi J H Buckley N Cannady G Castellini C Checchia M L Cherry G Collazuol V Di Felice K Ebisawa H Fuke T G Guzik T Hams N Hasebe K Hibino M Ichimura K Ioka W Ishizaki M H Israel K Kasahara J Kataoka R Kataoka Y Katayose C Kato N Kawanaka Y Kawakubo K Kohri H S Krawczynski J F Krizmanic T Lomtadze P Maestro P S Marrocchesi A M Messineo J W Mitchell S Miyake A A Moiseev K Mori M Mori N Mori H M Motz K Munakata H Murakami S Nakahira J Nishimura G A De Nolfo S Okuno J F Ormes S Ozawa L Pacini F Palma V Pal'shin P Papini A V Penacchioni B F Rauch S B Ricciarini K Sakai T Sakamoto M Sasaki Y Shimizu A Shiomi R Sparvoli P Spillantini F Stolzi S Sugita J E Suh A Sulaj I Takahashi M Takayanagi M Takita T Tamura N Tateyama T Terasawa H Tomida S Torii Y Tsunesada Y Uchihori S Ueno E Vannuccini J P Wefel K Yamaoka S Yanagita A Yoshida K Yoshida Waseda Research Institute for Science and Engineering Waseda University Japan JEM Utilization Center Human Spaceflight Technology Directorate Japan Aerospace Exploration Agency Japan Department of Physics University of Florence Italy INFN Sezione di Florence Italy Department of Physics University of Maryland USA Astroparticle Physics Laboratory NASA/GSFC USA Institute for Cosmic Ray Research The University of Tokyo Japan Department of Physical Sciences Earth and Environment University of Siena Italy INFN Sezione di Pisa Italy Department of Physics Washington University USA Heliospheric Physics Laboratory NASA/GSFC USA Department of Physics and Astronomy Louisiana State University USA Institute of Applied Physics (IFAC) National Research Council (CNR) Italy Department of Physics and Astronomy University of Padova Italy INFN Sezione di Padova Italy University of Rome 'Tor Vergata' Italy INFN Sezione di Rome 'Tor Vergata' Italy Institute of Space and Astronautical Science Japan Aerospace Exploration Agency Japan CRESST and Astroparticle Physics Laboratory NASA/GSFC USA Kanagawa University Japan Faculty of Science and Technology Graduate School of Science and Technology Hirosaki University Japan Yukawa Institute for Theoretical Physics Kyoto University Japan National Institute of Polar Research Japan Faculty of Engineering Division of Intelligent Systems Engineering Yokohama National University Japan Faculty of Science Shinshu University Japan Hakubi Center Kyoto University Japan Department of Astronomy Graduate School of Science Kyoto University Japan College of Science and Engineering Department of Physics and Mathematics Aoyama Gakuin University Japan High Energy Accelerator Research Organization Japan University of Pisa Italy Department of Electrical and Electronic Systems Engineering National Institute of Technology Ibaraki College Japan Department of Astronomy University of Maryland College Park Maryland 20742 USA Department of Physical Sciences Co

The CALorimetric Electron Telescope (CALET) is a high-energy astroparticle physics space experiment installed on the International Space Station (ISS), developed and operated by Japan in collaboration with Italy and the United States. The CALET mission goals include the investigation of possible nearby sources of high-energy electrons, of the details of galactic particle acceleration and propagation, and of potential signatures of dark matter. CALET measures the cosmic-ray electron+positron flux up to 20 TeV, gamma-rays up to 10 TeV, and nuclei with Z=1 to 40 up to 1, 000 TeV for the more abundant elements during a long-term observation aboard the ISS. Starting science operation in mid-October 2015, CALET performed continuous observation without major interruption with close to 20 million triggered events over 10 GeV per month. Based on the data taken during the first two-years, we present an overview of CALET observations: 1) Electron+positron energy spectrum, 2) Nuclei analysis, 3) Gamma-ray observation including a characterization of on-orbit performance. Results of the electromagnetic counterpart search for LIGO/Virgo gravitational wave events are discussed as well.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Identifying risk of progression for patients with Chronic Kidney Disease using clustering models

Identifying risk of progression for patients with Chronic Ki...

引用

IEEE Symposium on systems and information engineering Design, SIEDS

作者： Michael Lenart Nikhil Mascarenhas Ruisi Xiong Abigail Flower Data Science Institute University of Virginia Faculty Department of Systems and Information Engineering University of Virginia

Chronic Kidney Disease ("CKD") and its comorbidities, diabetes, hypertension and cardiovascular disease ("CVD"), are frequently measured by routine procedures and lab tests, creating a large amount of historical data about this patient population. In this paper, we conducted a retrospective study based on Electronic Health Records ("EHR") data, in order to identify patterns in the development of CKD. In particular, we used a clustering approach to quantifiably identify diabetic patients who are at risk of progressing to advanced stages of CKD. Using values from routine measurements and lab tests such as systolic blood pressure, diastolic blood pressure, body mass index ("BMI"), Hemoglobin A1c ("HbAlc"), triglycerides and high density lipid cholesterol ("HDL cholesterol"), patients were classified into four clusters with a distinct separation between the cluster with the best value for each lab test and a cluster with the worst value for each lab test. We used lab values from each subsequent visit to calculate a progression score using the distance to the best and worst clusters, which indicated whether a patient's health was improving or deteriorating. We believe that this approach holds promise for future tools, as it is able to provide an ordered list of patients who are at greater risk of deterioration and should benefit from intervention by healthcare providers. The conclusions made in this paper are aimed at enabling timely monitoring and earlier intervention for patients that are associated with higher possibility of CKD progression.

关键词： Diseases Blood pressure Hardware design languages Lipidomics Atmospheric measurements Particle measurements

来源：评论

学校读者我要写书评

暂无评论

Consistency guarantees for greedy permutation-based causal inference algorithms

arXiv

引用

arXiv 2017年

作者： Solus, Liam Wang, Yuhao Uhler, Caroline Institutionen för Matematik KTH StockholmSE-100 44 Sweden Institute for Interdisciplinary Information Sciences Tsinghua University Beijing China Shanghai Qi Zhi Institute Shanghai China Department of Electrical Engineering and Computer Science Institute for Data Systems and Society Massachusetts Institute of Technology CambridgeMA United States

Directed acyclic graphical models, or DAG models, are widely used to represent complex causal systems. Since the basic task of learning such a model from data is NP-hard, a standard approach is greedy search over the space of directed acyclic graphs or Markov equivalence classes of directed acyclic graphs. As the space of directed acyclic graphs on p nodes and the associated space of Markov equivalence classes are both much larger than the space of permutations, it is desirable to consider permutation-based greedy searches. Here, we provide the first consistency guarantees, both uniform and high-dimensional, of a greedy permutation-based search. This search corresponds to a simplex-like algorithm operating over the edge-graph of a sub-polytope of the permutohedron, called a DAG associahedron. Every vertex in this polytope is associated with a directed acyclic graph, and hence with a collection of permutations that are consistent with the directed acyclic graph ordering. A walk is performed on the edges of the polytope maximizing the sparsity of the associated directed acyclic graphs. We show via simulated and real data that this permutation search is competitive with current approaches. Copyright © 2017, The Authors. All rights reserved.

关键词： Bayesian networks

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：