scispace - formally typeset
Search or ask a question
Institution

Carleton University

EducationOttawa, Ontario, Canada
About: Carleton University is a education organization based out in Ottawa, Ontario, Canada. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 15852 authors who have published 39650 publications receiving 1106610 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: The present simulations reveal that changes in Type I error rates are greater when sample sizes are smaller, when the difference in variances is slight rather than extreme, and when the significance level is more stringent.
Abstract: Preliminary tests of equality of variances used before a test of location are no longer widely recommended by statisticians, although they persist in some textbooks and software packages. The present study extends the findings of previous studies and provides further reasons for discontinuing the use of preliminary tests. The study found Type I error rates of a two-stage procedure, consisting of a preliminary Levene test on samples of different sizes with unequal variances, followed by either a Student pooled-variances t test or a Welch separate-variances t test. Simulations disclosed that the twostage procedure fails to protect the significance level and usually makes the situation worse. Earlier studies have shown that preliminary tests often adversely affect the size of the test, and also that the Welch test is superior to the t test when variances are unequal. The present simulations reveal that changes in Type I error rates are greater when sample sizes are smaller, when the difference in variances is slight rather than extreme, and when the significance level is more stringent. Furthermore, the validity of the Welch test deteriorates if it is used only on those occasions where a preliminary test indicates it is needed. Optimum protection is assured by using a separate-variances test unconditionally whenever sample sizes are unequal.

234 citations

Journal ArticleDOI
01 Oct 2001-Ecology
TL;DR: The results collectively are most consistent with the hypothesis that rat snakes use edges for thermoregulation reasons, and the negative impact of the snakes on nesting birds may be coinci- dental; the snakes primarily use edge habitats for reasons other than foraging but opportunistically exploit prey they encounter there.
Abstract: Declining nest success of forest birds in fragmented habitat has been attri- buted to increased nest predation. Better understanding of this problem and potential so- lutions to it require information on why nest predators are attracted to habitat edges. Toward this end we investigated habitat use by black rat snakes (Elaphe obsoleta obsoleta), an important avian-nest predator in eastern deciduous forests. We radio-tracked 52 black rat snakes for periods of 3-41 mo from 1996 to 1999. All black rat snakes exhibited a strong preference for edge habitats. Consistent with edges being used because they facilitate thermoregulation, gravid females associated more strongly with edges than did males and nongravid females, and sites used by snakes when shedding were significantly associated with habitat edges. Gravid females lost an average of >20% of their body mass, while nongravid females and males did not lose mass, suggesting that edges were not used because they offered high success in foraging. Similarly, an increase in use of edge habitat through the season by all rat snakes was inconsistent with the snakes being attracted principally to hunt: avian prey would have been more abundant in spring when birds were breeding, and the density of small mammals in edges did not vary seasonally. Also, snakes moved longer distances and were found traveling.more often when located in forests. Because our results collectively are most consistent with the hypothesis that rat snakes use edges for ther- moregulatory reasons, the negative impact of the snakes on nesting birds may be coinci- dental; the snakes primarily use edges for reasons other than foraging but opportunistically exploit prey they encounter there. Rat snakes appeared to respond to the edge structure rather than to how the edge was created (natural vs. artificial). Thus, fragmentation of forests by humans has created habitat structurally similar to that preferred by rat snakes in their natural habitat, thereby inadvertently increasing contact between the snakes and nesting birds.

234 citations

Journal ArticleDOI
TL;DR: The vocal repertoire of the little brown bat, Myotis lucifugus, is studied in this article, where the authors identify and associate ten vocalizations with specific behavioral contexts and find that despite the gregarious nature of the species, a simple social system exists and the small repertoire is therefore not surprising.
Abstract: 1. As part of an overall study of the social behavior of the little brown bat, Myotis lucifugus, we compiled the vocal repertoire of this gregarious species in its natural habitat. Ten vocalizations were identified and associated with certain behavioral contexts. 2. Echolocation pulses, although primarily used for or entation, are also available as interindividual communication signals and modified forms are used in several situations such as during near-collisions in flight and the first flights of newly volant young. 3. Nonecholocation calls are used in three main contexts. Agonistic vocalizations appear to take the place of physical aggression and may be used to protect an individual's position within a roost. Two vocalizations emitted in maternal-infant situations appear to contain vocal signatures which are important for individual recognition. During mating, a distinct copulation call given by males likely conveys a male's sexual motivation to a female in the absence of precopulatory displays. 4. The size of the vocal repertoire is comparable to those of some solitary mammals. Behavioral observations indicate that despite the gregarious nature of the species, a simple social system exists and the small repertoire is therefore not surprising.

234 citations

Journal ArticleDOI
Juan Antonio Aguilar-Saavedra1, Ahmed Ali, Benjamin C. Allanach2, Richard L. Arnowitt3, Howard Baer4, Jonathan Bagger5, Csaba Balázs6, Vernon Barger7, Michael Barnett8, A. Bartl9, Marco Battaglia8, Philip Bechtle10, Geneviève Bélanger, Alexander Belyaev11, Edmond L. Berger6, G.A. Blair12, Edouard Boos13, Marcela Carena14, S.Y. Choi15, Frank F. Deppisch, A. De Roeck16, Klaus Desch17, Marco Aurelio Diaz18, Abdelhak Djouadi19, Bhaskar Dutta3, S. Dutta20, S. Dutta10, Helmut Eberl21, John Ellis16, Jens Erler22, H. Fraas23, Ayres Freitas24, T. Fritzsche25, Rohini M. Godbole26, G. Gounaris27, Jaume Guasch28, John F. Gunion29, Naoyuki Haba30, Howard E. Haber31, K. Hagiwara, Liyuan Han32, Tao Han7, Hong-Jian He33, Sven Heinemeyer16, S. Hesselbach34, Keisho Hidaka35, I. Hinchliffe8, Martin Hirsch36, K. Hohenwarter-Sodek9, Wolfgang Hollik25, W. S. Hou37, Tobias Hurth10, Tobias Hurth16, I. Jack38, Yi Jiang32, D.R.T. Jones38, J. Kalinowski39, T. Kamon3, Gordon L. Kane40, Sin Kyu Kang41, Thomas Kernreiter9, Wolfgang Kilian, Choong Sun Kim42, Stephen F. King43, O. Kittel44, Michael Klasen, J. L. Kneur45, K. Kovarik21, Michael Kramer46, Sabine Kraml16, Remi Lafaye47, Paul Langacker48, Heather E. Logan49, W. G. Ma32, W. Majerotto21, H. U. Martyn46, Konstantin Matchev50, David J. Miller51, Myriam Mondragón22, Gudrid Moortgat-Pick16, Stefano Moretti43, Takehiko Mori52, Gilbert Moultaka45, Steve Muanza53, M. M. Mühlleitner, Biswarup Mukhopadhyaya54, U. Nauenberg55, Mihoko M. Nojiri56, D. Nomura11, H. Nowak, N. Okada, Keith A. Olive57, W. Oller21, Michael E. Peskin10, Tilman Plehn25, Giacomo Polesello, Werner Porod24, Werner Porod36, Fernando Quevedo2, David L. Rainwater58, Jürgen Reuter, Peter J. Richardson59, Krzysztof Rolbiecki39, Probir Roy60, Reinhold Rückl23, Heidi Rzehak61, P. Schleper62, Kim Siyeon63, Peter Skands14, P. Slavich, Dominik Stöckinger59, Paraskevas Sphicas16, Michael Spira61, Tim M. P. Tait6, Daniel Tovey64, José W. F. Valle36, Carlos E. M. Wagner6, Carlos E. M. Wagner65, Ch. Weber21, Georg Weiglein59, Peter Wienemann17, Z.-Z. Xing, Y. Yamada66, Jin Min Yang, D. Zerwas19, P.M. Zerwas, Ren-You Zhang32, X. Zhang, S.-H. Zhu67 
University of Lisbon1, University of Cambridge2, Texas A&M University3, Florida State University4, Johns Hopkins University5, Argonne National Laboratory6, University of Wisconsin-Madison7, Lawrence Berkeley National Laboratory8, University of Vienna9, Stanford University10, Michigan State University11, Royal Holloway, University of London12, Moscow State University13, Fermilab14, Chonbuk National University15, CERN16, University of Freiburg17, Pontifical Catholic University of Chile18, University of Paris19, University of Delhi20, Austrian Academy of Sciences21, National Autonomous University of Mexico22, University of Würzburg23, University of Zurich24, Max Planck Society25, Indian Institute of Science26, Aristotle University of Thessaloniki27, University of Barcelona28, University of California, Davis29, University of Tokushima30, University of California, Santa Cruz31, University of Science and Technology of China32, Tsinghua University33, Uppsala University34, Tokyo Gakugei University35, Spanish National Research Council36, National Taiwan University37, University of Liverpool38, University of Warsaw39, University of Michigan40, Seoul National University41, Yonsei University42, University of Southampton43, University of Bonn44, University of Montpellier45, RWTH Aachen University46, Laboratoire d'Annecy-le-Vieux de physique des particules47, University of Pennsylvania48, Carleton University49, University of Florida50, University of Glasgow51, University of Tokyo52, University of Lyon53, Harish-Chandra Research Institute54, University of Colorado Boulder55, Kyoto University56, University of Minnesota57, University of Rochester58, Durham University59, Tata Institute of Fundamental Research60, Paul Scherrer Institute61, University of Hamburg62, Chung-Ang University63, University of Sheffield64, University of Chicago65, Tohoku University66, Peking University67
TL;DR: In this article, a supersymmetry Parameter Analysis SPA (SPA) scheme is proposed based on a consistent set of conventions and input parameters, which connect parameters in different schemes and relate the Lagrangian parameters to physical observables at LHC and high energy e(+)e(-) linear collider experiments, i.e., masses, mixings, decay widths and production cross sections for supersymmetric particles.
Abstract: High-precision analyses of supersymmetry parameters aim at reconstructing the fundamental supersymmetric theory and its breaking mechanism. A well defined theoretical framework is needed when higher-order corrections are included. We propose such a scheme, Supersymmetry Parameter Analysis SPA, based on a consistent set of conventions and input parameters. A repository for computer programs is provided which connect parameters in different schemes and relate the Lagrangian parameters to physical observables at LHC and high energy e(+)e(-) linear collider experiments, i.e., masses, mixings, decay widths and production cross sections for supersymmetric particles. In addition, programs for calculating high-precision low energy observables, the density of cold dark matter (CDM) in the universe as well as the cross sections for CDM search experiments are included. The SPA scheme still requires extended efforts on both the theoretical and experimental side before data can be evaluated in the future at the level of the desired precision. We take here an initial step of testing the SPA scheme by applying the techniques involved to a specific supersymmetry reference point.

234 citations

Journal ArticleDOI
TL;DR: Simulations results show that the proposed framework can effectively improve the performance of blockchain-enabled IIoT systems and well adapt to the dynamics of the IIeT.
Abstract: Recent advances in the industrial Internet of things (IIoT) provide plenty of opportunities for various industries. To address the security and efficiency issues of the massive IIoT data, blockchain is widely considered as a promising solution to enable data storing/processing/sharing in a secure and efficient way. To meet the high throughput requirement, this paper proposes a novel deep reinforcement learning (DRL)-based performance optimization framework for blockchain-enabled IIoT systems, the goals of which are threefold: 1) providing a methodology for evaluating the system from the aspects of scalability, decentralization, latency, and security; 2) improving the scalability of the underlying blockchain without affecting the system's decentralization, latency, and security; and 3) designing a modulable blockchain for IIoT systems, where the block producers, consensus algorithm, block size, and block interval can be selected/adjusted using the DRL technique. Simulations results show that our proposed framework can effectively improve the performance of blockchain-enabled IIoT systems and well adapt to the dynamics of the IIoT.

234 citations


Authors

Showing all 16102 results

NameH-indexPapersCitations
George F. Koob171935112521
Zhenwei Yang150956109344
Andrew White1491494113874
J. S. Keller14498198249
R. Kowalewski1431815135517
Manuella Vincter131944122603
Gabriella Pasztor129140186271
Beate Heinemann129108581947
Claire Shepherd-Themistocleous129121186741
Monica Dunford12990677571
Dave Charlton128106581042
Ryszard Stroynowski128132086236
Peter Krieger128117181368
Thomas Koffas12894276832
Aranzazu Ruiz-Martinez12678371913
Network Information
Related Institutions (5)
University of British Columbia
209.6K papers, 9.2M citations

93% related

McGill University
162.5K papers, 6.9M citations

93% related

University of Alberta
154.8K papers, 5.3M citations

92% related

Arizona State University
109.6K papers, 4.4M citations

92% related

University of Toronto
294.9K papers, 13.5M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202389
2022381
20212,299
20202,243
20192,017
20181,841