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Subject: NA Digest, V. 22, # 4
NA Digest Monday, January 24, 2022 Volume 22 : Issue 4
Today's Editor:
Daniel M. Dunlavy
Sandia National Labs
[log in to unmask]
Today's Topics:
Release 1.3.0.0 of librsb, Sparse BLAS Software Library
New Book, Nonlinear Dimensionality Reduction Techniques
New Book, Virus Host Cell Genetic Material Transport
Continuous and Discrete Iterative Methods, Ireland, Apr 2022
Rising Stars in Computational & Data Sciences, USA, Apr 2022
NSF REU, Big Data with HPC, ONLINE, Summer 2022
European Seminar on Computing, Czech Republic, Jun 2022
Reliable Methods of Mathematical Modeling, Switzerland, Jun 2022
Bifurcations/Instabilities in Fluid Dynamics, The Netherlands, Aug 2022
Parallel and Distributed Computing, UK, Aug 2022
Research Software Engineer, Research Data Management, WIAS
Postdoc Position, CUHK, Hong Kong
Postdoc Position, M3AI Lab/MS2Discovery, WLU, Canada
PhD Positions, Mathematical Analysis, Modelling, and Apps, Italy
Contents, Constructive Approximation, 54 (3)
Contents, Evolution Equations and Control Theory, 11 (1)
Subscribe, unsubscribe, change address, or for na-digest archives:
http://www.netlib.org/na-digest-html/faq.html
Submissions for NA Digest:
http://icl.utk.edu/na-digest/
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From: Michele MARTONE [log in to unmask]
Date: January 21, 2022
Subject: Release 1.3.0.0 of librsb, Sparse BLAS Software Library
The major release 1.3.0.0 of the "librsb" library for high performance
sparse matrix computations based on the "Recursive Sparse Blocks"
(RSB) format is out and available for download.
librsb is mainly for iterative methods implementors; it features cache
efficient, multithreaded sparse matrix-vector multiplication, and it
is especially fast in the symmetric and transposed variants. Many
options and further matrix operations are available.
Both Sparse BLAS and the own interfaces are supported (C/C++,
Fortran). You can also use librsb transparently in a Matlab-style
fashion via the GNU Octave `sparsersb` package and command, or in
Python via the `pyrsb.rsb_matrix` class inspired by `scipy.sparse`
classes.
This release improves SpMM operation performance considerably; it
introduces a new, class-based C++ interface; many minor improvements
listed on http://librsb.sourceforge.net/NEWS.TXT
The source code of librsb is LGPLv3 licensed.
Website for librsb and sparsersb: http://librsb.sf.net/
Sources of PyRSB: https://github.com/michelemartone/pyrsb
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From: Denys Dutykh [log in to unmask]
Date: January 17, 2022
Subject: New Book, Nonlinear Dimensionality Reduction Techniques
A new book in dimensionality reduction methods has been published:
S. Lespinats, B. Colange and DD (2022). Nonlinear Dimensionality
Reduction Techniques: A Data Structure Preservation
Approach. Springer, Cham, 12 b/w illustrations, 88 illustrations in
color. Hardcover ISBN: 978-3- 030-81025-2, Softcover ISBN:
978-3-030-81028-3. DOI: https://doi.org/10.1007/978-3-030-81026-9
This book proposes tools for analysis of multidimensional and metric
data, by establishing a state-of-the-art of the existing solutions and
developing new ones. It mainly focuses on the visual exploration of
these data by a human analyst, relying on a 2D or 3D scatter plot
display obtained through Dimensionality Reduction (DR). Performing the
diagnosis of an energy system requires identifying relations between
observed monitoring variables and the associated internal state of the
system. DR, which allows representing visually a multidimensional
dataset, constitutes a promising tool to help domain experts to
analyze these relations. This book reviews existing techniques for
visual data exploration and dimensionality reduction and proposes new
solutions to challenges in that field. In order to perform the
diagnosis of energy systems, domain experts need to establish
relations between the possible states of a given system and the
measurement of a set of monitoring variables. Classical dimensionality
reduction techniques such as tSNE and Isomap are presented, as well as
the new unsupervised technique ASKI and the supervised methods
ClassNeRV and ClassJSE. A new approach, MING for local map quality
evaluation, is also introduced. These methods are then applied to the
representation of expert-designed fault indicators for
smart-buildings, I-V curves for photovoltaic systems, and acoustic
signals for Li-ion batteries.
URL: https://link.springer.com/book/10.1007/978-3-030-81026-9
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From: W. E. Schiesser [log in to unmask]
Date: January 18, 2022
Subject: New Book, Virus Host Cell Genetic Material Transport
A recently released book pertaining to the PDE analysis of virus host
cell genetic material transport is described in:
http://www.lehigh.edu/~wes1/vct_cover2.pdf
The R routines are available from a download link.
Questions concerning the book can be directed to [log in to unmask]
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From: Kirk M. Soodhalter [log in to unmask]
Date: January 19, 2022
Subject: Continuous and Discrete Iterative Methods, Ireland, Apr 2022
We are pleased to announce that we are running the 2nd Lanczos
Workshop at the Hamilton Mathematics Institute, Trinity College
Dublin. The event will be held 26-30 April 2022. The workshop boasts
talks from a number of senior researchers and is targeted at PhD
students and early-career researchers, but colleagues at all levels
are welcome. PhD students may apply to present a poster, and there
are opportunities for early-career researchers to apply to give
contributed talks. More information, including a list of prospective
speakers and how to apply are available at the workshop website:
https://www.maths.tcd.ie/~ksoodha/lanczosworkshop2022/.
Please do not hesitate to contact us at [log in to unmask] for more
information.
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From: Jim Stewart [log in to unmask]
Date: January 20, 2022
Subject: Rising Stars in Computational & Data Sciences, USA, Apr 2022
The Oden Institute for Computational Engineering and Sciences at UT
Austin, Sandia National Laboratories (SNL), and Lawrence Livermore
National Laboratory (LLNL) are partnering to host Rising Stars in
Computational and Data Sciences, an intensive workshop for women
graduate students and postdocs who are interested in pursuing academic
and research careers. The workshop will be held April 20-21, 2022, in
Albuquerque, NM.
We are seeking nominations for outstanding candidates in their final
year of PhD or within three years of having graduated. We will select
approximately 30 women to come to Albuquerque for two days of research
presentations, poster sessions, and interactive discussions about
academic and research careers, with financial support for travel
provided.
The nomination form requires (1) a letter of nomination and (2) a copy
of the nominee's resume.
Full details, including the nomination form and highlights from
previous events, are at https://www.sandia.gov/risingstars/ .
Please consider nominating one of your outstanding current/recent PhD
students or postdocs. Nominations are due February 18, 2022.
On behalf of the organizing committee: Jeffrey Hittinger (LLNL),
Teresa Portone (SNL), Jim Stewart (SNL), Rachel Ward (Oden Institute),
Karen Willcox (Oden Institute)
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From: Matthias Gobbert [log in to unmask]
Date: January 16, 2022
Subject: NSF REU, Big Data with HPC, ONLINE, Summer 2022
I am writing to let you know we are organizing an NSF-funded REU
(Research Experience for Undergraduates) Site program at UMBC this
summer. This REU Site program is for Online Interdisciplinary Big Data
Analytics in Science and Engineering. It is a purely online program
open to students from the entire nation. The 8-week program will
include training in fundamentals of HPC software (MPI) and
productivity tools (SLURM) on large distributed-memory clusters with
CPUs and GPUs as well as Big Data Analytics applications like
Tensorflow, Keras and Horovod. Each student will be paid for $5,000
for participation and provided with opportunities to present their
work at conferences. We are looking for students from all STEM
disciplines and particularly also for students who are interested in
gaining Big Data, HPC and application experience.
More information of the program can be found at
https://bigdatareu.umbc.edu/ The tentative application deadline is
03/01/2022. The two project topics planned for summer 2022 are 1) Big
Data and Machine Learning Techniques for Atmospheric Remote Sensing
and 2) Big Data and Machine Learning Techniques for Medical Image
Classification. Please distribute this opportunity to undergraduate
students and additional colleagues/communities you see fit. The more
people know the opportunity, the merrier. Thanks a lot!
Do not hesitate to contact us with questions.
Matthias Gobbert ([log in to unmask]) and Jianwu Wang ([log in to unmask])
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From: Pavel Solin [log in to unmask]
Date: January 23, 2022
Subject: European Seminar on Computing, Czech Republic, Jun 2022
CALL FOR PAPERS
ESCO 2022 - 8th European Seminar on Computing
June 13 - 16, 2022, Pilsen, Czech Republic
http://esco2022.femhub.com/
Abstract submission deadline: March 6, 2022
ESCO 2022 is the 8th event in a successful series of
interdisciplineary international conferences. It promotes modern
technologies and practices in scientific computing and visualization,
and strengthens the interaction between researchers and practitioners
in various areas of computational engineering and sciences. The
meeting takes place in the beautiful historic city of Pilsen whose
origins date back to the 13th century. Pilsen's rich history is
summarized on Wikipedia http://en.wikipedia.org/wiki/Plzen.
Thematic areas: Computational electromagnetics and coupled problems;
Fluid-structure interaction and multi-phase flows; Computational
chemistry and quantum physics; Computational civil and structural
engineering; Computational biology and bioinformatics; Computational
geometry and topology; Mathematics education and outreach;
Computational and applied statistics; Petascale and exascale
computing; Hydrology and porous media flows; Wave propagation and
acoustics; Climate and weather modeling; GPU and cloud computing;
Uncertainty quantification; Open source software; Machine learning.
As usual, the proceedings of ESCO 2022 will appear as special issues
of quality international journals with impact factor - visit the
conference web page for more details. Submissions will have the format
of a standard journal paper and they will be refereed in a standard
way.
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From: Marco Picasso [log in to unmask]
Date: January 18, 2022
Subject: Reliable Methods of Mathematical Modeling, Switzerland, Jun 2022
The biennial RMMM conferences bring together scientists developing
reliable methods for mathematical modeling. The 10th edition
(initially scheduled Feb 5-8) of the conference will take place on
site, June 21-23, 2022, at Ecole Polytechnique Federale de Lausanne:
https://www.epfl.ch/schools/sb/research/math/conferences-2/rmmm-2022/
Topics: Mesh-adaptive numerical methods in various applied problems;
A-posteriori error control and verification of numerical solutions;
Validation of mathematical models used in computer simulation;
Nonlinear computational partial differential equations; Novel
discretization methods for the numerical approximation of PDEs.
Deadline for abstract submission: Friday 1 April, 2022
Notification of acceptance: Friday 22 April, 2022
Registration deadline: Friday 13 May, 2022
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From: Fred Wubs [log in to unmask]
Date: January 21, 2022
Subject: Bifurcations and Instabilities in Fluid Dynamics, The
Netherlands, Aug 2022
We are pleased to announce the 9th International Symposium on
Bifurcations and Instabilities in Fluid Dynamics (BIFD22) to be held
at the University of Groningen, The Netherlands, August 16-19, 2022.
The aim of the conference is to bring together some of the best
scientific minds to discuss their research and address problems and
opportunities related to new developments in bifurcation analysis in
complex fluid flows. Moreover, the conference offers a platform for
talented young scientists to present their work and to build their
network in the field. The scope of the conference ranges from
industrial applications to academic model problems, and from
experimental, to computational and theoretical studies.
Plenary speakers are: Karin Jacobs (Saarland University), Andrew Hazel
(University of Manchester), and Henk Dijkstra (Utrecht
University). The rest of the conference will consist of parallel
sessions with research talks and a poster session.
More information can be found at the conference website:
www.bifd2022.org
Abstracts for an oral or a poster presentation can be submitted as of
today. Deadline for abstract submission is February 28, 2022;
notification of acceptance will be sent by May 14. 2022.
-------------------------------------------------------
From: Paolo Bientinesi [log in to unmask]
Date: January 20, 2022
Subject: Parallel and Distributed Computing, UK, Aug 2022
Euro-Par is the prime European conference covering all aspects of
parallel and distributed processing, ranging from theory to practice,
from small to the largest parallel and distributed systems and
infrastructures, from fundamental computational problems to
full-fledged applications, from architecture, compiler, language and
interface design and implementation, to tools, support
infrastructures, and application performance aspects. Euro-Par's
unique organization into topics provides an excellent forum for
focused technical discussion, as well as interaction with a large,
broad and diverse audience.
We invite submissions of high-quality, novel and original research
results in areas of parallel and distributed computing covered by the
List of Topics.
Abstract submission: 4 February 2022 AoE
Paper submission: 11 Februrary 2022 AoE
Author notification: 29 April 2022
Main conference: 24-26 August 2022
Link: https://2022.euro-par.org/calls/papers/
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From: Heike Sill [log in to unmask]
Date: January 19, 2022
Subject: Research Software Engineer, Research Data Management, WIAS
WIAS is coordinator of the "Mathematical Research Data Initiative"
(MaRDI) within the German National Research Data Initiative (NFDI).
In the context of its research in the field of applied mathematics,
WIAS develops research software and uses and generates research
data. The research software has different levels of complexity - from
publication-accompanying scripts to internationally leading open
source software and codes in industrial projects. An important part of
the research results of WIAS is "formulated" in research software and
data. As an integral part of the research process, this software and
data are subject to the requirements for research as a whole. These
include the rules of Good Scientific Practice and the resulting "FAIR"
principles (Findable, Accessible, Interoperable, Reusable).
To support the scientific projects of WIAS in this area, WIAS is
looking for an Research Software Engineer with interest in research
data management (m/f/d), (identification number 22/01). In the short
term, the work tasks consist primarily of setting up and structuring
services (continuous integration, issue handling, release management
archiving, etc.) and reproducible environments (predefined software
environments) for sustainable, quality-assured development of research
software on the basis of a locally operated Gitlab instance, as well
as supporting scientists in their use. The support includes, among
other things, training, hands-on consultation, and the production of
best practice documents.
In the medium and long term, in addition to the further development of
the structures and services described above, the focus is on the
support of software projects including open source software developed
at WIAS or with the collaboration of WIAS members. The focus is on
consulting on scientific software libraries and documentation tools,
on the implementation of FAIR principles in software development and
in research data management. The structured on-boarding/off-boarding
of scientists who start their work at WIAS or leave the institute is
to be supported, as well as the securing of their results available in
the form of software and research data. The same applies to
third-party funded projects.
More information can be found: https://short.sg/j/15158973
-------------------------------------------------------
From: Bangti Jin [log in to unmask]
Date: January 21, 2022
Subject: Postdoc Position, CUHK, Hong Kong
The Department of Mathematics, The Chinese University of Hong Kong
invites the application for one postdoc position in applied and
computational mathematics, to work with Prof. Bangti Jin, in the
following areas: inverse problems, numerical analysis and machine
learning. Candidates must have obtained a PhD preceding the start
date of appointment in Mathematics, Applied Mathematics, Computer
Science, Statistics, or related fields, and have a strong background
and track record of accomplishment in inverse problems, numerical
analysis or machine learning. The review of applications will start on
February 5, 2022, and will continue until the position is
filled. Early application is strongly encouraged.
Further details of the position and the application procedure can be
found at the following link:
https://sites.google.com/view/bangtijin/opening
-------------------------------------------------------
From: Roderick Melnik [log in to unmask]
Date: January 17, 2022
Subject: Postdoc Position, M3AI Lab/MS2Discovery, WLU, Canada
Applications are invited for a Postdoctoral Position in Modeling for
Complex Systems, with a focus on data-dependent methods and
application areas highlighted on the webpage given below. The
successful candidate will be part of the research program in
mathematical modeling and computational & data sciences at the Laurier
M3AI Lab and MS2Discovery Institute in Waterloo, Canada. Further
information about the position and how to apply can be found at the
following website:
http://m2netlab.wlu.ca/research/current-openings.html
The position is available from March 1, 2022, and will start at the
mutually agreed date, but no later than September 1, 2022. The review
of applications will begin immediately and continue until the position
is filled.
-------------------------------------------------------
From: Andrea Cangiani [log in to unmask]
Date: January 21, 2022
Subject: PhD Positions, Mathematical Analysis, Modelling, and Apps, Italy
Applications are invited for 8 PhD positions in Mathematical Analysis,
Modelling, and Applications (AMMA). Research lines are flexible within
the activity of the Analysis, Mathematical Modelling research groups,
including Numerical Analysis and Scientific Computing.
SISSA is one of seven centers of excellence in Italy dedicated to
doctorate training. The AMMA PhD positions are fully funded for 4
years and include access to over 30 PhD lecture courses. Admission is
by means of an entrance examination. For full details and application
form, visit:
https://www.sissa.it/bandi/ammissione-ai-corsi-di-phd-della-sissa-lanno-accademico-202223-admission-sissa-phd-courses
Deadline: 10th February 2022
-------------------------------------------------------
From: Ed Saff [log in to unmask]
Date: January 17, 2022
Subject: Contents, Constructive Approximation, 54 (3)
Constructive Approximation
Volume 54, Issue 3, December 2021
Table of Contents
Semi-algebraic Approximation Using Christoffel-Darboux Kernel, Swann
Marx, Edouard Pauwels, Tillmann Weisser, Didier Henrion, Jean Bernard
Lasserre
Optimal Polynomial Prediction Measures and Extremal Polynomial Growth,
L. Bos, N. Levenberg, J. Ortega-Cerda
Sampling Discretization of Integral Norms, F. Dai, A. Prymak,
A. Shadrin, V. Temlyakov, S. Tikhonov
Discrepancy of Minimal Riesz Energy Points, Jordi Marzo and Albert Mas
Strong Partially Greedy Bases and Lebesgue-Type Inequalities,
M. Berasategui, P.M. Berna, S. Lassalle
Pointwise Remez inequality, B. Eichinger and P. Yuditskii
Constructive Approximation
An International Journal for Approximations and Expansions
Published by Springer
http://link.springer.com/journal/365
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From: Irena lasiecka [log in to unmask]
Date: January 17, 2022
Subject: Contents, Evolution Equations and Control Theory, 11 (1)
EECT [Evolution Equations and Control Theory] -vol 11, nr 1, 2022.
https://www.aimsciences.org/journal/A0000-0000/2022/11/1
1.Existence and uniqueness of mild solutions for quasi-linear
fractional integro-differential equations, Priscila Santos Ramos,
J. Vanterler da C. Sousa and E. Capelas de Oliveira
2.Lifespan of solutions to a damped plate equation with logarithmic
nonlinearity, Yuzhu Han and Qi Li
3.Non-autonomous 2D Newton-Boussinesq equation with oscillating
external forces and its uniform attractor, Xueli Song and Jianhua Wu
4. Approximate controllability of second order impulsive systems with
state-dependent delay in Banach spaces, Soniya Singh, Sumit Arora,
Manil T. Mohan and Jaydev Dabas
5.Complete controllability for a class of fractional evolution
equations with uncertainty, Nguyen Thi Kim Son, Nguyen Phuong Dong, Le
Hoang Son, Alireza Khastan and Hoang Viet Long
6.Global attractors, exponential attractors and determining modes for
the three dimensional Kelvin-Voigt fluids with "fading memory", Manil
T. Mohan
7.Some results on the behaviour of transfer functions at the right
half plane, Tahir Aliyev Azeroglu, Bulent Nafi Ornek and Timur Duzenli
8.Optimal control problems for a neutral integro-differential system
with infinite delay, Hai Huang and Xianlong Fu
9.Energy method for exponential stability of coupled one-dimensional
hyperbolic PDE-ODE systems, Gervy Marie Angeles and Gilbert Peralta
10. On time fractional pseudo-parabolic equations with nonlocal
integral conditions, Nguyen Anh Tuan, Donal O'Regan, Dumitru Baleanu
and Nguyen H. Tuan
11. Existence results for fractional impulsive delay feedback control
systems with Caputo fractional derivatives, Biao Zeng
12. Regularity and stability analysis for semilinear generalized
Rayleigh- Stokes equations, Do Lan
13. A canonical model of the one-dimensional dynamical Dirac system
with boundary control, Mikhail I. Belishev and Sergey A. Simonov
14. Internal control for a non-local Schrodinger equation involving
the fractional Laplace operator, Umberto Biccari
15. Improved boundary regularity for a Stokes-Lame system, Francesca
Bucci
-------------------------------------------------------
End of Digest
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Week 4 February 2017, Week 2 February 2017, Week 1 January 2017, Week 3 January 2017, Week 2 December 2016, Week 5 December 2016, Week 3 December 2016, Week 2 December 2016, Week 1 November 2016, Week 3 November 2016, Week 2 November 2016, Week 1 October 2016, Week 4 October 2016, Week 3 October 2016, Week 2 October 2016, Week 1 September 2016, Week 4 September 2016, Week 3 September 2016, Week 2 September 2016, Week 1 August 2016, Week 5 August 2016, Week 4 August 2016, Week 2 August 2016, Week 1 July 2016, Week 4 July 2016, Week 3 July 2016, Week 1 June 2016, Week 4 June 2016, Week 3 June 2016, Week 1 May 2016, Week 5 May 2016, Week 4 May 2016, Week 3 May 2016, Week 2 May 2016, Week 1 April 2016, Week 4 April 2016, Week 3 April 2016, Week 2 April 2016, Week 1 March 2016, Week 5 March 2016, Week 4 March 2016, Week 2 March 2016, Week 1 February 2016, Week 5 February 2016, Week 3 February 2016, Week 1 January 2016, Week 5 January 2016, Week 4 January 2016, Week 3 January 2016, Week 2 January 2016, Week 1 December 2015, Week 5 December 2015, Week 2 November 2015, Week 5 November 2015, Week 4 November 2015, Week 3 November 2015, Week 1 October 2015, Week 4 October 2015, Week 3 October 2015, Week 2 September 2015, Week 5 September 2015, Week 4 September 2015, Week 2 September 2015, Week 1 August 2015, Week 4 August 2015, Week 2 July 2015, Week 5 July 2015, Week 3 July 2015, Week 2 June 2015, Week 5 June 2015, Week 4 June 2015, Week 3 June 2015, Week 2 June 2015, Week 1 May 2015, Week 4 May 2015, Week 3 May 2015, Week 2 May 2015, Week 1 April 2015, Week 4 April 2015, Week 2 April 2015, Week 1 March 2015, Week 5 March 2015, Week 4 March 2015, Week 3 March 2015, Week 2 March 2015, Week 1 February 2015, Week 4 February 2015, Week 3 February 2015, Week 2 February 2015, Week 1 January 2015, Week 4 January 2015, Week 3 January 2015, Week 1 December 2014, Week 5 December 2014, Week 4 December 2014, Week 3 December 2014, Week 2 December 2014, Week 1 November 2014, Week 4 November 2014, Week 3 November 2014, Week 2 October 2014, Week 5 October 2014, Week 4 October 2014, Week 3 October 2014, Week 2 October 2014, Week 1 September 2014, Week 4 September 2014, Week 3 September 2014, Week 2 September 2014, Week 1 August 2014, Week 4 August 2014, Week 3 August 2014, Week 2 August 2014, Week 1 July 2014, Week 5 July 2014, Week 3 July 2014, Week 2 June 2014, Week 5 June 2014, Week 4 June 2014, Week 3 June 2014, Week 2 June 2014, Week 1 May 2014, Week 4 May 2014, Week 3 May 2014, Week 2 May 2014, Week 1 April 2014, Week 4 April 2014, Week 3 April 2014, Week 2 April 2014, Week 1 March 2014, Week 5 March 2014, Week 4 March 2014, Week 3 February 2014, Week 3 February 2014, Week 1 January 2014, Week 3 January 2014, Week 1 December 2013, Week 3 December 2013, Week 2 December 2013, Week 1 November 2013, Week 4 November 2013, Week 3 November 2013, Week 2 November 2013, Week 1 October 2013, Week 4 October 2013, Week 2 October 2013, Week 1 September 2013, Week 4 September 2013, Week 3 September 2013, Week 2 August 2013, Week 4 August 2013, Week 3 July 2013, Week 5
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