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Variations of GIT quotients package v0.6.13
This software package is a complement to the articles "Moduli of cubic surfaces and their anticanonical divisors" and "Variations of geometric invariant quotients for pairs, a computational approach", both available in the Arxiv. The software package implements a series of algorithms for the study of variations of Geometric Invariant Theory (GIT) quotients of pairs formed by a hypersurface in projective space of dimension n and degree d and a hyperplane embedded in the same projective space. Given a dimension n and a degree d, the code finds all relevant one-parameter subgroups which determine all the GIT quotients for these pairs. In addition, it finds a finite list of candidate 'walls' in the wall-chamber decomposition studied by Dolgachev-Hu and Thaddeus. Furthermore, for each prospective chamber and wall it finds all maximal orbits of non stable and strictly semistable pairs, as well as minimal closed orbits of strictly semistable pairs in terms of families of pairs defined by monomials with non-zero coefficients. Finally, it runs through all the list of prospective chambers and walls eliminating 'false walls' for which the GIT quotient is detected not to vary. Further details can be found at the article "Variations of geometric invariant quotients for pairs, a computational approach". The full worked out output for cubic surfaces and hyperplanes, as reflected in "Moduli of cubic surfaces and their anticanonical divisors", is attached as a text file.
The sotware package is implemented as a Python 2.7 package and it requires several additional libraries to run which are all detailed in Installation file. The package has been thoroughly tested for Windows and it may work on Unix-based platforms with extra work.This software package is a complement to the articles "Moduli of cubic surfaces and their anticanonical divisors" and "Variations of geometric invariant quotients for pairs, a computational approach" authored by Patricio Gallardo and Jesus Martinez-Garcia. It uses algorithms developed in the former paper to solve several problems in variations of GIT quotients, in particular the ones in the latter paper.A precise description of the coded algorithms is available in the article "Variation of geometric invariant quotients for pairs a computational approach." (https://arxiv.org/abs/1602.05282)
1. The program returns a list including all GIT walls and a representative for each GIT chamber.
2. The program returns the fundamental set of one-parameter subgroups. The program also tells you which one-parameter subgroups are not necessary for the GIT analysis.
3. For each , the program returns a list of one-parameter subgroups that generate non-stable maximal sets. The program recognizes the changes in the non-stable maximal sets with respect the previous . There are three types of outputs:
A. If a non-stable set of monomial has appeared for an earlier , then it is denoted as "same".
B. If it becomes semistable, then it is denoted as "same but becomes semistable."
C. If it is a new set of monomials, then it is denoted as "new".
Finally, the program tells the reader if a maximal non-stable set has disappeared when to compare it with the previous .
4. For each one-parameter subgroup that it is not denoted as "same", the program returns the monomials in the maximal non-stable sets.
5. The program recognizes if the configuration is semi-stable or not. In the former case, it returns the potential close orbit of that pairs.The code requires:
1. Python 2.7.13 or higher: when installing for Windows, it is recommended to select the options "Install for all users" and "Add Python.exe to PATH";
2. libraries NumPy (v.1.11.3 or higher), SciPy (v.0.18.1 or higher), SymPy (v.1.0 or higher) and Mpmath (v.1.0 or higher), which are available from the Python Package Index (PyPI): it is recommended to install these using the pip utility.
See InstallationWindows.txt for full installation details.The output of the program with the parameters used in "Moduli of cubic surfaces and their anticanonical divisors" (https://arxiv.org/abs/1607.03697) is available here in text format in the file cubicsurfaces.txt.
In the file run.py, the reader can change the dimension, and degree of the VGIT problem.
The code in the folder VGIT has the following files:
- The file " __init__.py" is required to make Python treat the directories as containing packages. Then, we can import the modules 'VGIT', 'Hypersurfaces', 'Monomials', and 'OPSubgroups'.
- The file "Monomials.py" contains the sub-package Monomials with the class Monomials to deal with one monomial and the class MonFrozenSet to deal with a set of monomials. In this file, the reader can find the Hilbert_Mumford function and the function that generates the normalized one-parameter subgroups from a list of monomials.
- The file OPSubgroups.py contains the sub-package OPSubgroups with the class OPS and all the methods to work with them. It imports from the class "Monomials", "associated1ps" and "MonFrozenSet".
- The file "VGIT.py" contains the metaclasses "Problem", "Solution" and "Solution_t" that defines the VGIT problem and it stores the solutions.
- The file "Hypersurface.py" contains the classes "Problem" and VGIT.Hypersurfaces.Solution_t". We store the VGIT problem in the class "Problem." We store the solution to our VGIT problem in the class "VGIT.Hypersurfaces.Solution_t"
Data set for "Choosing between conciliatory and oppositional leaders"
In this paper we examine the role of out-group signals and in-group leader tactics in the choice and evaluation of rival in-group leader candidates. Four on-line surveys were conducted using qualtrics. Each of these surveys is included in the dataset. Also included are the SPSS data files for each of the four studies as well as a syntax file which provides the syntax for the coding and transformations of items used in the analyses for the four studies. Further information on the analyses conducted specifically for this paper are found in the paper itself.On-line survey were conducted via qualtrics.Data were analysed using SPSS software
Assessment of laboratory and daily energy expenditure estimates from consumer multi-sensor physical activity monitors-dataset
Wearable physical activity monitors are growing in popularity and provide the opportunity for large numbers of the public to self-monitor physical activity behaviours. The latest generation of these devices feature multiple sensors, ostensibly similar or even superior to advanced research instruments. However, little is known about the accuracy of their energy expenditure estimates. Here, we assessed their performance against criterion measurements in both controlled laboratory conditions (simulated activities of daily living and structured exercise) and over a 24 hour period in free-living conditions. Thirty men (n=15) and women (n=15) wore three multi-sensor consumer monitors (Microsoft Band, Apple Watch and Fitbit Charge HR), an accelerometry-only device as a comparison (Jawbone UP24) and validated research-grade multi-sensor devices (BodyMedia Core and individually calibrated Actiheart™). During discrete laboratory activities when compared against indirect calorimetry, the Apple Watch performed similarly to criterion measures. The Fitbit Charge HR was less consistent at measurement of discrete activities, but produced similar free-living estimates to the Apple Watch. Both these devices underestimated free-living energy expenditure (-394 kcal/d and -405 kcal/d, respectively; P<0.01). The multi-sensor Microsoft Band and accelerometry-only Jawbone UP24 devices underestimated most laboratory activities and substantially underestimated free-living expenditure (-1128 kcal/d and -998 kcal/d, respectively; P<0.01). None of the consumer devices were deemed equivalent to the reference method for daily energy expenditure. For all devices, there was a tendency for negative bias with greater daily energy expenditure. No consumer monitors performed as well as the research-grade devices although in some (but not all) cases, estimates were close to criterion measurements. Thus, whilst industry-led innovation has improved the accuracy of consumer monitors, these devices are not yet equivalent to the best research-grade devices or indeed equivalent to each other. We propose independent quality standards and/or accuracy ratings for consumer devices are required.For full data collection methods please see associated manuscript by Chowdhury et al (2017) "Assessment of Laboratory and Daily Energy Expenditure Estimates from Consumer Multi-Sensor Physical Activity Monitors" PloS One (in Press) and associated readme file
Dataset for "Effectiveness of design codes for life cycle energy optimisation"
Dataset for the paper Effectiveness of design codes for life cycle energy optimisation
This dataset includes the raw data from the online survey undertaken in October 2015 and analysed in the journal paper “Effectiveness of design codes for life cycle energy optimisation” and published in Energy and Buildings.
The data were collected via an online survey of 11 questions completed in October 2015.
The data is provided in an Excel format and as a tab delimited text file.Data was collected using an online survey hosted using Google forms and administered by Dr Ana Bras (research associate, University of Bath).Data was reviewed by the authors. 12 invalid and incomplete submissions were removed from the data set by deleting their entire row. The remaining 66 submissions were used in the analysis provided in the journal paper.None.Recommend opening Excel file first
Feasibility of methods to reduce publication bias_academics/researchers
Responses from academics/researchers in the project "The perceived feasibility of methods to reduce publication bias".
Data were collected via Bristol Online Surveys. Using convenience snowball method, we collected opinions from academics and researchers regarding 9 different methods of peer-review/publication that have been proposed to reduce publication bias. Respondents were asked questions regarding their views on the efficacy of the publication process, and then asked to choose the method they felt to be most effective at reducing publication bias, and to rate all the methods from 1 (not at all effective) to 5 (very effective) . Throughout the survey, non-compulsory open ended questions were provided in order for respondents to provide their opinions on the pros and cons of the methods.Bristol Online Surveys was used to gain opinions of academics/researchers regarding the different proposed methods to reduce publication bias during the peer-review and publication process. A convenience snowballing method was used, disseminated via email and Twitter.The ID as used in the manuscript has been included under ‘ID’.
The answers to question 15.a. (‘If yes, would you be willing to name the journal(s) you have most recently published in (maximum 5)?’) have been changed to the mean impact factor (to one decimal place) of the journal(s) stated, rather than providing the journal(s) names.
Institution names have been replaced with their respective country
How do children and their families react following a traumatic event?
Anonymised interview transcripts and questionnaire data from parents of children aged 6 to 16 years who had experienced a potentially traumatic event in Khayelitsha, Cape Town, within a two-year time period.Qualitative semi-structured interview
Dataset for "Molecular Adaptations of Adipose Tissue to 6 weeks of Morning Fasting vs Daily Breakfast Consumption in Lean and Obese Adults"
This study assessed molecular responses of human subcutaneous abdominal adipose tissue (SCAT) to 6 weeks of morning fasting. Forty-nine healthy lean (n = 29) and obese (n = 20) adults provided SCAT biopsies before and after 6 weeks of morning fasting (FAST; 0 kcal until 12.00 h) or daily breakfast consumption (BFAST; ≥700 kcal before 11.00 h). Biopsies were analysed for mRNA levels of selected genes, and GLUT4 and Akt protein content. This dataset includes individual participant data for the following outcome measures: Adipose tissue mRNA expression of genes involved in insulin signalling, AMPK signalling, circadian rhythms, lipid metabolism, glucose metabolism, inflammation/cytokine signalling, and mitochondrial signalling; adipose tissue protein content of GLUT4, Akt1 and Akt2, basal and insulin-stimulated Akt phosphorylation, insulin-stimualted adipose tissue glucose uptake. This trial was registered as ISRCTN31521726
Cambridge Centre for Business Research National Survey of Knowledge Exchange Activity by United Kingdom Academics, 2012-2015
The Cambridge Centre for Business Research National Survey of Knowledge Exchange Activity by United Kingdom Academics, 2012-2015 collected information on how UK academics in all universities and all disciplines interacted with private, public and charitable organisations in the three calendar years (2012, 2013 and 2014) prior to the survey and to establish how these interactions are perceived within academia.
This survey was conducted by a team drawn from the Centre for Business Research at the University of Cambridge, Imperial College Business School and the University of Bath School of Management and it updates the results and analysis of an earlier survey of UK academic engagement with external organisations (held at the UK Data Archive under SN 6462). The original web-based survey attracted over 22,000 responses. The latest survey received 18,177 responses. These are the two largest research and knowledge exchange surveys ever completed of a national Higher Education System.
Further information about the project is available from the National Centre for Universities and Business National: Survey of Academics webpage.
The survey covers the following areas: the disciplinary background and research, teaching and administration activity of individual academics; the location and frequency of their interactions with external organisations in the private, public and third or charitable sectors including commercialisation activities and a wide range of people based problem solving and community based interactions; the motivation for, objectives of and support for their relationships with private, public and charitable sector organisations external to the higher education institution sector; the impact of external relationships on their teaching and research activity; their personal characteristics including disciplinary background, career experience, gender, age seniority and professional background.Time dimension: Cross-sectional (one-time) study. Sampling procedure: No sampling (total universe). Mode of data collection: Web-based survey. Control operations: None. Weighting: No weighting used
Dataset for 'Design and fabrication of enhanced lateral growth for dislocation reduction and strain management in GaN using nanodashes'
This dataset contains the results of scanning electron microscopy (SEM) secondary electron (SE) images, panchromatic cathodoluminescence (CL) imaging and Electron Channelling Contrast Imaging (ECCI) and Raman spectroscopy on GaN epitaxial layers. These techniques were used to assess the morphology of the GaN crystal growth, and the dislocation density and strain in planar layers.Secondary electron images were captured using a Hitachi S-4300 scanning electron microscope (SEM). An accelerating voltage of 5 kV was used to collect the images.
A field-emission gun scanning electron microscopey (SEM) LEO1550 combined with a cathodoluminescence (CL) Gatan MonoCL4 detection system was employed. An electron acceleration voltage of 5 kV and a beam current below 1 nA were used to avoid the radiation damage and preserve the lateral resolution during the panchromatic SEM CL imaging.
MOVPE growth were performed in a horizontal flow Aixtron 200/4HT RF-S reactor.
The templates were prepared using a nanoimprinting stamp, whic was replicate on the wafer using acrylate. Chlorine/Argon chemistry was used in order to etched GaN dashes to obtain the pendeo template. CHF3 chemistry was used in order to open GaN dashes windows and obtain the ELOG template
Matlab files `Acceleration'
Matlab files for paper `Acceleration of convergence to equilibrium in Markov chains by breaking detailed balance'The data is obtained from simulations using the Matlab code attached as matlab_code.zip.
For details see the attached file readme.txt