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Correction to: Optimal deterministic algorithm generation

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Journal of Global Optimization 2018年第2期73卷 465-465页

作者： Mitsos, Alexander Najman, Jaromił Kevrekidis, Ioannis G. AVT Process Systems Engineering (SVT) RWTH Aachen University Aachen Germany Department of Chemical and Biological Engineering and Program in Applied and Computational Mathematics Princeton University Princeton USA IAS-TUM Garching and Zuse Institut FU Berlin Berlin Germany Departments of Chemical and Biomolecular Engineering Applied Mathematics and Statistics and Urology Johns Hopkins University Baltimore USA

Unfortunately, the copyright information of the article in Springerlink appears as “©  Springer Science+Business Media, LLC, part of Springer Nature 2018” this has been corrected to “©  ...

Unfortunately, the copyright information of the article in Springerlink appears as “© Springer Science+Business Media, LLC, part of Springer Nature 2018” this has been corrected to “© The Author(s) 2018.”

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Fisher information matrix of binary time series

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arXiv 2017年

作者： Gao, Xu Ombao, Hernando Gillen, Daniel Department of Statistics University of California IrvineCA United States Department of Cognitive Sciences University of California IrvineCA United States Program on Applied Mathematics and Computational Science King Abdullah University of Science and Technology Saudi Arabia

A common approach to analyzing categorical correlated time series data is to fit a gen- eralized linear model (GLM) with past data as covariate inputs. There remain challenges to conducting inference for short time series length. By treating the historical data as covariate inputs, standard errors of estimates of GLM parameters computed using the empirical Fisher information do not fully account the auto-correlation in the data. To overcome this serious limitation, we derive the exact conditional Fisher information matrix of a general logistic autoregressive model with endogenous covariates for any series length T . Moreover, we also develop an iterative computational formula that allows for relatively easy implementation of the proposed estimator. Our simulation studies show that confidence intervals derived using the exact Fisher information matrix tend to be narrower than those utilizing the empirical Fisher information matrix while maintaining type I error rates at or below nominal levels. Further, we establish that the exact Fisher information matrix approaches, as T tends to infinity, the asymptotic Fisher information matrix previously derived for binary time series data. The developed exact conditional Fisher information matrix is applied to time-series data on respiratory rate among a cohort of expectant mothers where it is found to pro- vide narrower confidence intervals for functionals of scientific interest and lead to greater statistical power when compared to the empirical Fisher information matrix. Copyright © 2017, The Authors. All rights reserved.

关键词： Time series

Grain extraction and microstructural analysis method for two-dimensional poly and quasicrystalline solids

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arXiv 2018年

作者： Hirvonen, Petri Fan, Zheyong La Boissoniere, Gabriel Martine Achim, Cristian-Vasile Provatas, Nikolas Elder, Ken R. Ala-Nissila, Tapio Qtf Centre of Excellence Department of Applied Physics Aalto University School of Science P.O. Box 11000 Aalto EspooFIN-00076 Finland Department of Mathematics and Statistics McGill University MontrealQCH3A 0B9 Canada University of Concepcion Concepcion4030000 Chile Department of Physics and Centre for the Physics of Materials McGill University MontrealQCH3A 0B9 Canada Department of Physics Oakland University RochesterMI48309 United States Interdisciplinary Centre for Mathematical Modelling and Department of Mathematical Sciences Loughborough University LeicestershireLE11 3TU United Kingdom

While the microscopic structure of defected solid crystalline materials has significant impact on their physical properties, eficient and accurate determination of a given polycrystalline microstructure remains a challenge. In this paper we present a highly generalizable and reliable variational method to achieve this goal for two-dimensional crystalline and quasicrystalline materials. The method is benchmarked and optimized successfully using a variety of large-scale systems of defected solids, including periodic structures and quasicrystalline symmetries to quantify their microstructural characteristics, e.g., grain size and lattice misorientation distributions. We find that many microstructural properties show universal features independent of the underlying symmetries. Copyright © 2018, The Authors. All rights reserved.

关键词： Large scale systems

GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo during the Second Part of the Third Observing Run

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Physical Review X 2023年第4期13卷 041039-041039页

作者： R. Abbott T. D. Abbott F. Acernese K. Ackley C. Adams N. Adhikari R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith S. Akcay T. Akutsu S. Albanesi A. Allocca P. A. Altin A. Amato C. Anand S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando T. Andrade N. Andres T. Andrić S. V. Angelova S. Ansoldi J. M. Antelis S. Antier S. Appert Koji Arai Koya Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud M. Arogeti S. M. Aronson K. G. Arun H. Asada Y. Asali G. Ashton Y. Aso M. Assiduo S. M. Aston P. Astone F. Aubin C. Austin S. Babak F. Badaracco M. K. M. Bader C. Badger S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer A. Balsamo G. Baltus S. Banagiri D. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi C. P. L. Berry D. Bersanetti A. Bertolini J. Betzwieser D. Beveridge R. Bhandare U. Bhardwaj D. Bhattacharjee S. Bhaumik I. A. Bilenko G. Billingsley S. Bini R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini L. D. Bonavena F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi J. Brandt J. E. Brau M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic C. Buy R. L. Byer G. S. Cabourn Davies L. Cadonati G. Cagn LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo I-80126 Napoli Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 Victoria Australia LIGO Livingston Observatory Livingston Louisiana 70754 USA University of Wisconsin-Milwaukee Milwaukee Wisconsin 53201 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany Inter-University Centre for Astronomy and Astrophysics Pune 411007 India University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom INFN Sezione di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India University College Dublin Dublin 4 Ireland Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan INFN Sezione di Torino I-10125 Torino Italy Università di Napoli “Federico II” Complesso Universitario di Monte S. Angelo I-80126 Napoli Italy Université de Lyon Université Claude Bernard Lyon 1 CNRS Institut L

The third Gravitational-Wave Transient Catalog (GWTC-3) describes signals detected with Advanced LIGO and Advanced Virgo up to the end of their third observing run. Updating the previous GWTC-2.1, we present candidate gravitational waves from compact binary coalescences during the second half of the third observing run (O3b) between 1 November 2019, 15∶00 Coordinated Universal Time (UTC) and 27 March 2020, 17∶00 UTC. There are 35 compact binary coalescence candidates identified by at least one of our search algorithms with a probability of astrophysical origin pastro>0.5. Of these, 18 were previously reported as low-latency public alerts, and 17 are reported here for the first time. Based upon estimates for the component masses, our O3b candidates with pastro>0.5 are consistent with gravitational-wave signals from binary black holes or neutron-star–black-hole binaries, and we identify none from binary neutron stars. However, from the gravitational-wave data alone, we are not able to measure matter effects that distinguish whether the binary components are neutron stars or black holes. The range of inferred component masses is similar to that found with previous catalogs, but the O3b candidates include the first confident observations of neutron-star–black-hole binaries. Including the 35 candidates from O3b in addition to those from GWTC-2.1, GWTC-3 contains 90 candidates found by our analysis with pastro>0.5 across the first three observing runs. These observations of compact binary coalescences present an unprecedented view of the properties of black holes and neutron stars.

关键词： Gravitational waves

Correction to: A probiotic has differential effects on allergic airway inflammation in A/J and C57BL/6 mice and is correlated with the gut microbiome

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Microbiome 2021年第1期9卷 159页

作者： Mateus B Casaro Andrew M Thomas Eduardo Mendes Claudio Fukumori Willian R Ribeiro Fernando A Oliveira Amanda R Crisma Gilson M Murata Bruna Bizzarro Anderson Sá-Nunes Joao C Setubal Marcia P A Mayer Flaviano S Martins Angélica T Vieira Ana T F B Antiorio Wothan Tavares-de-Lima Niels O S Camara Rui Curi Emmanuel Dias-Neto Caroline M Ferreira Department of Pharmaceutics Sciences Institute of Environmental Chemistry and Pharmaceutical Sciences Universidade Federal de São Paulo R. São Nicolau 210 Diadema SP 09913-03 Brazil. Department CIBIO University of Trento Trento Italy. Medical Genomics Laboratory CIPE/A.C. Camargo Cancer Center São Paulo Brazil. Department of Biochemistry Institute of Chemistry Universidade de São Paulo São Paulo Brazil. Center for Mathematics Computing and Cognition (CMCC) Federal University of ABC - UFABC São Bernardo do Campo SP Brazil. Department of Clinical Analyses Universidade Federal do Paraná Curitiba Brazil. Department of Medical Clinic Faculty of Medicine University of São Paulo São Paulo 01246-903 Brazil. Department of Immunology Institute of Biomedical Sciences Universidade de São Paulo São Paulo Brazil. Department of Microbiology Institute of Biomedical Sciences University of São Paulo São Paulo SP Brazil. Department of Microbiology Institute of Biological Sciences Federal Universidade de Minas Gerais Belo Horizonte Brazil. Department of Biochemistry and Immunology Biological Science Institute Federal University of Minas Gerais Belo Horizonte Brazil. Department of Pathology School of Veterinary Medicine and Animal Science Universidade de São Paulo São Paulo Brazil. Department of Pharmacology Institute of Biomedical Sciences I Universidade de São Paulo São Paulo Brazil. Interdisciplinary Post-Graduate Program in Health Sciences Cruzeiro do Sul University São Paulo Brazil. Laboratory of Neurosciences (LIM-27) Institute of Psychiatry Medical School Universidade de São Paulo São Paulo Brazil. Department of Pharmaceutics Sciences Institute of Environmental Chemistry and Pharmaceutical Sciences Universidade Federal de São Paulo R. São Nicolau 210 Diadema SP 09913-03 Brazil. cferreira16@unifesp.br.

Trophic Interactions Are Key to Understanding the Effects of Global Change on the Distribution and Functional Role of the Brown Bear

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Global Change Biology 2025年第6期31卷 e70252页

作者： Lucas, Pablo M. Thuiller, Wilfried Talluto, Lauren Polaina, Ester Albrecht, Jörg Selva, Nuria De Barba, Marta Penteriani, Vincenzo Guéguen, Maya Balkenhol, Niko Dutta, Trishna Fedorca, Ancuta Frank, Shane C. Zedrosser, Andreas Afonso-Jordana, Ivan Ambarlı, Hüseyin Ballesteros, Fernando Bashta, Andriy-Taras Bilgin, Cemal Can Bogdanović, Neda Bojārs, Edgars Bojarska, Katarzyna Bragalanti, Natalia Brøseth, Henrik Chynoweth, Mark W. Ćirović, Duško Ciucci, Paolo Corradini, Andrea De Angelis, Daniele de Gabriel Hernando, Miguel Domokos, Csaba Dutsov, Aleksander Ertürk, Alper Filacorda, Stefano Frangini, Lorenzo Groff, Claudio Heikkinen, Samuli Hoxha, Bledi Huber, Djuro Huitu, Otso Ionescu, Georgeta Ionescu, Ovidiu Jerina, Klemen Jurj, Ramon Karamanlidis, Alexandros A. Kindberg, Jonas Kojola, Ilpo López-Bao, José Vicente Männil, Peep Melovski, Dime Mertzanis, Yorgos Molinari, Paolo Molinari-Jobin, Anja Mustoni, Andrea Naves, Javier Ogurtsov, Sergey Özüt, Deniz Palazón, Santiago Pedrotti, Luca Perović, Aleksandar Piminov, Vladimir N. Pop, Ioan-Mihai Popa, Marius Psaralexi, Maria Quenette, Pierre-Yves Rauer, Georg Reljic, Slaven Revilla, Eloy Saarma, Urmas Saveljev, Alexander P. Sayar, Ali Onur Şekercioğlu, Çagan H. Sergiel, Agnieszka Sîrbu, George Skrbinšek, Tomaž Skuban, Michaela Soyumert, Anil Stojanov, Aleksandar Tammeleht, Egle Tirronen, Konstantin Trajçe, Aleksandër Trbojević, Igor Trbojević, Tijana Zięba, Filip Zlatanova, Diana Zwijacz-Kozica, Tomasz Pollock, Laura J. Institute of Nature Conservation Polish Academy of Sciences Kraków Poland Department of Biology and Biotechnologies “Charles Darwin” Sapienza Università di Roma Rome Italy Departamento de Biología Vegetal y Ecología Universidad de Sevilla Sevilla Spain Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS LECA Grenoble France Department of Ecology University of Innsbruck Innsbruck Austria Department of Ecology Swedish University of Agricultural Sciences Uppsala Sweden Senckenberg Biodiversity and Climate Research Centre (SBiK-F) Frankfurt am Main Germany Estación Biológica de Doñana CSIC Sevilla Spain Departamento de Ciencias Integradas Facultad de Ciencias Experimentales Centro de Estudios Avanzados en Física Matemáticas y Computación Universidad de Huelva Huelva Spain Biotechnical Faculty Department of Biology University of Ljubljana Ljubljana Slovenia DivjaLabs Ltd. Ljubljana Slovenia Department of Evolutionary Ecology National Museum of Natural Sciences (MNCN-CSIC) Madrid Spain Wildlife Sciences University of Goettingen Goettingen Germany European Forest Institute Bonn Germany Department of Wildlife National Institute for Research and Development in Forestry “Marin Drăcea” Brasov Romania Department of Silviculture Transilvania University of Brasov Brasov Romania Faculty of Technology Natural Sciences and Maritime Sciences Department of Natural Sciences and Environmental Health University of South-Eastern Norway Bø i Telemark Norway Departament de Territòri Paisatge e Gestion Ambientau Conselh Generau d'Aran Vielha Spain Department of Wildlife Ecology and Management Faculty of Forestry No: 130 Düzce University Düzce Turkey Brown Bear Foundation Santander Spain Institute of Ecology of the Carpathians NAS Ukraine Lviv Ukraine National Park “Skolivski Beskydy” Lviv Region Skole Ukraine Department of Biology Middle East Technical University Ankara Turkey Faculty of Biology University of Belgrade Belgrade Serbia Estonian University of Life Scie

Biotic interactions are expected to influence species' responses to global changes, but they are rarely considered across broad spatial extents. Abiotic factors are thought to operate at larger spatial scales, while biotic factors, such as species interactions, are considered more important at local scales within communities, in part because of the knowledge gap on species interactions at large spatial scales (i.e., the Eltonian shortfall). We assessed, at a continental scale, (i) the importance of biotic interactions, through food webs, on species distributions, and (ii) how biotic interactions under scenarios of climate and land-use change may affect the distribution of the brown bear (Ursus arctos). We built a highly detailed, spatially dynamic, and empirically sampled food web based on the energy contribution of 276 brown bear food species from different taxa (plants, vertebrates, and invertebrates) and their ensemble habitat models at high resolution across Europe. Then, combining energy contribution and predicted habitat of food species, we modelled energy contribution across space and included these layers within Bayesian-based models of the brown bear distribution in Europe. The inclusion of biotic interactions considerably improved our understanding of brown bear distribution at large (continental) scales compared with Bayesian models including only abiotic factors (climate and land use). Predicted future range shifts, which included changes in the distribution of food species, varied greatly when considering various scenarios of change in biotic factors, providing a warning that future indirect climate and land-use change are likely to have strong but highly uncertain impacts on species biogeography. Our study confirmed that advancing our understanding of ecological networks of species interactions will improve future projections of biodiversity change, especially for modelling species distributions and their functional role under climate and land-use chan

关键词： climate change community ecosystem food web habitat human impact land use predator–prey species distribution model Ursus arctos

Correction to: Genes associated with survival of female bovine blastocysts produced in vivo

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Cell and tissue research 2020年第3期382卷 679页

作者： A M Zolini J Block M B Rabaglino G Rincon M Hoelker J J Bromfield D Salilew-Wondim P J Hansen Department of Animal Sciences D.H. Barron Reproductive and Perinatal Biology Research Program and Genetics Institute University of Florida PO Box 110910 Gainesville FL 32611-0910 USA. Zoetis Inc. Kalamazoo MI 49007 USA. Instituto de Investigación en Ciencias de La Salud CONICET Córdoba Argentina. Quantitative Genetics Bioinformatics and Computational Biology Group Department of Applied Mathematics and Computer Science Technical University of Denmark Kemitorvet 2800 Kgs. Lyngby Denmark. Institute of Animal Science Animal Breeding and Husbandry University of Bonn Bonn Germany. Teaching and Research Station Frankenforst Faculty of Agriculture University of Bonn Königswinter Germany. Center of Integrated Dairy Research University of Bonn Bonn Germany. Department of Animal Sciences D.H. Barron Reproductive and Perinatal Biology Research Program and Genetics Institute University of Florida PO Box 110910 Gainesville FL 32611-0910 USA. pjhansen@ufl.edu.

The first error is on page 5. A sentence lists two genes as SCNA1A and SCNA2A but they should be SCN1A and SCN2A.

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On the uniqueness of FROG methods

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arXiv 2017年

作者： Bendory, Tamir Sidorenko, Pavel Eldar, Yonina C. Program in Applied and Computational Mathematics Princeton University PrincetonNJ United States Department of Physics and Solid State Institute Technion-Israel Institute of Technology Haifa Israel Department of Electrical Engineering Technion-Israel Institute of Technology Haifa Israel

The problem of recovering a signal from its power spectrum, called phase retrieval, arises in many scientific fields. One of many examples is ultra-short laser pulse characterization in which the electromagnetic field is oscillating with ∼ 1015 Hz and phase information cannot be measured directly due to limitations of the electronic sensors. Phase retrieval is ill-posed in most cases as there are many different signals with the same Fourier transform magnitude. To overcome this fundamental ill-posedness, several measurement techniques are used in practice. One of the most popular methods for complete characterization of ultra-short laser pulses is the Frequency-Resolved Optical Gating (FROG). In FROG, the acquired data is the power spectrum of the product of the unknown pulse with its delayed replica. Therefore the measured signal is a quartic function of the unknown pulse. A generalized version of FROG, where the delayed replica is replaced by a second unknown pulse, is called blind FROG. In this case, the measured signal is quadratic with respect to both pulses. In this letter we introduce and formulate FROG-type techniques. We then show that almost all band-limited signals are determined uniquely, up to trivial ambiguities, by blind FROG measurements (and thus also by FROG), if in addition we have access to the signals power spectrum. Copyright © 2017, The Authors. All rights reserved.

关键词： Power spectrum

Reduced modeling of porous media convection in a minimal flow unit at large Rayleigh number

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arXiv 2018年

作者： Wen, Baole Chini, Gregory P. Department of Geological Sciences Jackson School of Geosciences University of Texas at Austin AustinTX78712 United States Institute of Computational Engineering and Sciences University of Texas at Austin AustinTX78712 United States Program in Integrated Applied Mathematics University of New Hampshire W113 Kingsbury Hall 33 Academic Way DurhamNH03824 United States Center for Fluid Physics University of New Hampshire DurhamNH03824 United States Department of Mechanical Engineering University of New Hampshire DurhamNH03824 United States

Direct numerical simulations (DNS) indicate that at large values of the Rayleigh number (Ra) convection in porous media self-organizes into narrowly-spaced columnar flows, with more complex spatiotemporal features being confined to boundary layers near the top and bottom walls. In this investigation of high-Ra porous media convection in a minimal flow unit, two reduced modeling strategies are proposed that exploit these specific flow characteristics. Both approaches utilize the idea of decomposition since the flow exhibits different dynamics in different regions of the domain: small-scale cellular motions generally are localized within the thermal and vorticity boundary layers near the upper and lower walls, while in the interior, the flow exhibits persistent large-scale structures and only a few low (horizontal) wavenumber Fourier modes are active. Accordingly, in the first strategy, the domain is decomposed into two near-wall regions and one interior region. Our results confirm that suppressing the interior high-wavenumber modes has negligible impact on the essential structural features and transport properties of the flow. In the second strategy, a hybrid reduced model is constructed by using Galerkin projection onto a fully a priori eigenbasis drawn from energy stability and upper bound theory, thereby extending the model reduction strategy developed by Chini et al. (Physica D, vol. 240, 2011, pp. 241-248) to large Ra. The results indicate that the near-wall upper-bound eigenmodes can economically represent the small-scale rolls within the exquisitely-thin thermal boundary layers. Relative to DNS, the hybrid algorithm enables over an order-of-magnitude increase in computational efficiency with only a modest loss of accuracy. Copyright © 2018, The Authors. All rights reserved.

关键词： Porous materials