scholarly journals A free software package for a human onlineconditioned suppression preparation

2010 ◽  
Vol 42 (1) ◽  
pp. 311-317 ◽  
Author(s):  
Mathijs Franssen ◽  
Jeroen Clarysse ◽  
Tom Beckers ◽  
Priya R. van Vooren ◽  
Frank Baeyens
Keyword(s):  
Software Package ◽  
Free Software

scholarly journals Technical approach for the design of a high-resolution spectral model on a sphere: Application to decaying turbulence

2000 ◽  
Vol 7 (1/2) ◽  
pp. 105-110 ◽  
Author(s):  
K. Ishioka ◽  
M. Yamada ◽  
Y.-Y. Hayashi ◽  
S. Yoden
Keyword(s):  
High Resolution ◽  
Software Package ◽  
Free Software ◽  
Spectral Model ◽  
Technical Approach ◽  
Barotropic Model ◽  
Test Experiment ◽  
Decaying Turbulence

Abstract. Several technical suggestions to construct a high-resolution spectral model on a sphere (the T682 barotropic model) are presented and their implementation of FORTRAN77 libraries is provided as a free software package ISPACK (http://www.gfd-dennou.org/arch/ispack/). A test experiment on decaying turbulence is conducted to demonstrate the ability of the model.

FITTING A TABLE TO A PAGE USING NONLINEAR OPTIMIZATION

2004 ◽  
Vol 21 (02) ◽  
pp. 259-270 ◽  
Author(s):  
NICHOLAS BEAUMONT
Keyword(s):  
Nonlinear Optimization ◽  
Software Package ◽  
Word Processing ◽  
Optimization Problem ◽  
Free Software ◽  
Test Problems ◽  
Nonlinear Constraints ◽  
A Cell ◽  
Difficult Cases ◽  
Solution Techniques

It is sometimes difficult to fit a large table comprising several rows and columns onto a page. The usual tactic is to manually adjust column widths, abbreviate some text, and/or change some cells' font sizes until the table fits onto a page. We show that it is possible to express the problem of adjusting column widths so as to minimize the height of a table as an optimization problem with nonlinear constraints. Five test problems were routinely solved using a free software package. We stress that the solutions are approximate because the model imperfectly simulates how many lines of a cell of a table will be required to contain a segment of text, but they appear to provide good approximations in difficult cases. The scant literature is summarized; the formulation and solution techniques outlined; examples are described; and differences between theoretical and actual answers explained. It would be possible to incorporate the calculations in word processing and typesetting packages such as Word and TeX.

scholarly journals Atomic reconstruction of biomolecular structures from AFM images and quantitative validation of experimental data using simulated AFM scanning

2021 ◽  
Author(s):  
Romain Amyot ◽  
Arin Marchesi ◽  
Clemens M Franz ◽  
Ignacio Casuso ◽  
Holger Flechsig
Keyword(s):  
Experimental Data ◽  
Quantitative Analysis ◽  
Detailed Analysis ◽  
Software Package ◽  
High Speed ◽  
Free Software ◽  
Software Platform ◽  
Interactive Interface ◽  
Surface Topographies ◽  
Quantitative Validation

We provide the BioAFMviewer-Toolbox, an extension of our previously developed software platform for simulated AFM scanning of biomolecular structures and dy- namics. The focus was on developing a toolbox of methods which employ simulated AFM scanning combined with quantitative analysis to facilitate the interpretation of resolution-limited AFM images. The key advancement is the automatized fitting of biomolecular structures to experimental AFM images, which allows to reconstruct 3D atomistic structures from AFM surface scans. Moreover, several methods for detailed analysis and comparison of surface topographies in simulated and experimental AFM images are provided. We demonstrate the applicability of the developed tools in the interpretation of high-speed AFM observations of proteins. The toolbox is implemented into the versatile interactive interface of the BioAFMviewer, which is a free software package available at www.bioafmviewer.com.

scholarly journals A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases

2010 ◽  
Vol 18 (1) ◽  
pp. 1-35 ◽  
Author(s):  
Justin Grimmer
Keyword(s):  
Statistical Model ◽  
Software Package ◽  
Topic Model ◽  
Political Rhetoric ◽  
Free Software ◽  
Press Releases ◽  
Bayesian Hierarchical ◽  
Political Actors ◽  
Ideal Medium

Political scientists lack methods to efficiently measure the priorities political actors emphasize in statements. To address this limitation, I introduce a statistical model that attends to the structure of political rhetoric when measuring expressed priorities: statements are naturally organized by author. The expressed agenda model exploits this structure to simultaneously estimate the topics in the texts, as well as the attention political actors allocate to the estimated topics. I apply the method to a collection of over 24,000 press releases from senators from 2007, which I demonstrate is an ideal medium to measure how senators explain their work in Washington to constituents. A set of examples validates the estimated priorities and demonstrates their usefulness for testing theories of how members of Congress communicate with constituents. The statistical model and its extensions will be made available in a forthcoming free software package for the R computing language.

Explorations in statistics: standard deviations and standard errors

2008 ◽  
Vol 32 (3) ◽  
pp. 203-208 ◽  
Author(s):  
Douglas Curran-Everett
Keyword(s):  
Standard Deviation ◽  
Sample Size ◽  
Standard Error ◽  
Software Package ◽  
Free Software ◽  
Standard Errors ◽  
Population Mean ◽  
True Value ◽  
The Mean ◽  
Basic Concepts

Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This series in Advances in Physiology Education provides an opportunity to do just that: we will investigate basic concepts in statistics using the free software package R. Because this series uses R solely as a vehicle with which to explore basic concepts in statistics, I provide the requisite R commands. In this inaugural paper we explore the essential distinction between standard deviation and standard error: a standard deviation estimates the variability among sample observations whereas a standard error of the mean estimates the variability among theoretical sample means. If we fail to report the standard deviation, then we fail to fully report our data. Because it incorporates information about sample size, the standard error of the mean is a misguided estimate of variability among observations. Instead, the standard error of the mean provides an estimate of the uncertainty of the true value of the population mean.

scholarly journals EP-1508: Moddicom: a free software package for clinical/radiobiological MODeling from DICOM resources

2015 ◽  
Vol 115 ◽  
pp. S821-S822
Author(s):  
N. Dinapoli ◽  
R. Gatta ◽  
A. Damiani ◽  
L. Azario ◽  
V. Valentini
Keyword(s):  
Software Package ◽  
Free Software
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