177,972 research outputs found
Do People Want To Be Informed_stata
No full textThis repository contains the data and scripts to reproduce Espinosa & Stoop, Experimental Economics, 2021: Do people really want to be informed?The project contains folders wit data, Stata codes (do-files), and R scripts.DoFiles:[ABD] Results: computes the estimates shown in the paper for Diet treatmentTable C1: column 1Table C2: column 1Table C3: columns 1 & 2[Alcohol] Results: computes the estimates shown in the paper for Alcohol treatmentTable C1: column 2Table C2: column 2Table C3: columns 3 & 4[Immigration] Results: computes the estimates shown in the paper for Immigration treatmentTable C1: column 3Table C2: column 3Table C3: columns 5 & 6[InfoABD] Results: computes the estimates shown in the paper for Immigration treatmentTable C1: column 4[InfoAlcohol] Results: computes the estimates shown in the paper for Immigration treatmentTable C1: column 5[InfoImmigration] Results: computes the estimates shown in the paper for Immigration treatmentTable C1: column 6[DiD] InfoImpact: difference-in-difference estimationTable 5[HeavyDrinkers] Results: Impact of incentives on heavy drinkersRobustness check #6[Impact] Results: regression of the information campaigns' impactTable 6[Placebo] Results: Look at incentive effect in placebo treatmentRobustness check #2[Pilot] Results: Look at the order effect in the pilotRobustness check #5R Scripts:MLE on full sample: computes the estimates of Table 4 (columns: 1-3-5)Robustness checks MLE.Robustness check #4 (focusing on the three first questions)Robustness check #3 (omitting one question each time)Table 8Bootstrap Process: bootstraps the MLEsAnalyze Bootstrap Results: Analyze the results of the bootstrap processTable 4: columns 2-4-6Table C5</ol
Introduction
No full textIn this Introduction, we illustrate the genesis of the theory of chaos as by-product of the study of nonlinear systems in physics and meteorology. Then, we introduce the notion of nonlinearities in economics and the extension of the methods and the analyses devised in hard sciences not only for understanding the dynamics but, also, for predicting and controlling them. After that, we describe the organization of this book that, in the first three parts, has the objective of providing the needed knowledge to anyone who would like to study nonlinear phenomena in economics. The fourth part, instead, shows how the aforementioned methods and analyses can be applied to economics and gives an account of current research on the topic
Preface (Editorial)
No full textThis book collects contributions to the XXIII international conference “Nonlinear dynamics of electronic systems”. Topics range from non-linearity in electronic circuits to synchronisation effects in complex networks to biological systems, neural dynamics and the complex organisation of the brain. Resting on a solid mathematical basis, these investigations address highly interdisciplinary problems in physics, engineering, biology and biochemistry
Cell matrix interactions in lung fibrosis
No full textEverts, V. [Promotor]Smit, T.H. [Promotor]Stoop, R. [Copromotor
Genetic variation in bovine milk fat composition
No full textIn her thesis, Stoop shows that there is considerable genetic variation in milk fat composition, which opens opportunities to improve milk fat composition by selective breeding. Short and medium chain fatty acids had high heritabilities, whereas variation due to herd (mainly feed effects) was moderate. Long chain fatty acids had moderate heritabilities, whereas variation due to herd was high. Several genomic regions (QTL) with effect on short and medium chain, long chain, or both types of fatty acids were identified. Differences in results could be explained by the origin of the fatty acids; short and medium chain fatty acids are predominantly synthesized by the cow in the mammary gland, whereas long chain fatty acid are mainly of dietary origin. Results show that milk fat composition can be improved by selective breeding, which offers opportunities to meet consumers’ demands regarding health and technological aspects
Multiwavelength observations reveal a faint candidate black hole X-ray binary in IGR J17285-2922
No full text<h2>Reproduction package for the paper "Multiwavelength observations reveal a faint candidate black hole X-ray binary in IGR J17285-2922"</h2><h4>This is a reproduction package with the internal API designation of 'silver'</h4><h4>Monthly Notices of the Royal Astronomical Society, Volume 507, Issue 1, October 2021, Pages 330–349</h4><h4>Authors: <strong>M. Stoop</strong>, J. van den Eijnden, N. Degenaar, A. Bahramian, S. J. Swihart, J. Strader, F. Jiménez-Ibarra, T. Muñoz-Darias, M. Armas Padilla, A. W. Shaw, T. J. Maccarone, R. Wijnands, T. D. Russell, J. V. Hernández Santisteban, J. C. A. Miller-Jones, D. M. Russell, D. Maitra, C. O. Heinke, G. R. Sivakoff, F. Lewis D. M. Bramich</h4><h4>Paper DOI: https://doi.org/10.1093/mnras/stab2127</h4><h4>Zenodo DOI: https://doi.org/10.5281/zenodo.4664505</h4><p> </p><h2>Raw Data</h2><p> </p><p>- Uncalibrated X-ray data is given in ./raw_data</p><p> </p><p>- Radio data is too large in size to be stored on Zenodo. If you want to acquire these images, but can be found under https://data.nrao.edu searching for project code SF8027</p><p> </p><p>- Raw data for the optical spectra can be acquired by contacting J. van den Eijnden</p><p> </p><h2>Software</h2><p> </p><p>- OS: MacOS Big Sur 11.6</p><p> </p><p>Programming languages:</p><p> </p><p>- Python (3.9.7), matplotlib, numpy, pandas, scipy, linmix</p><p> </p><p>- Jupyter Notebook (6.3.0)</p><p> </p><p>NASA HEASARC's Software:</p><p> </p><p>- xrtpipeline (version 0.13.5)</p><p> </p><p>- caldb in the heasoft package (version 6.26.1)</p><p> </p><p>- xselect (version v2.4g)</p><p> </p><p>- xrtmkarf (version 0.6.3)</p><p> </p><p>- xspec (v. 12.10.1f)</p><p> </p><p>- casa pipeline (5.6.2)</p><p> </p><h2>Figures and Tables</h2><p> </p><p>- scripts and data to make the figures and tables can be found in ./figures_tables</p><p> </p><p>- figure 4, 5, 6, and 7 are made by collaborators. Please contact J. van den Eijnden if you would like access to data files or scripts for these figures.</p><p> </p><p>- X-ray lightcurve fit results in Table 3 is done by collaborators. Please contact J. van den Eijnden if you would like access to data files or scripts for this table.</p><p> </p><h2>Intermediate data products </h2><p> </p><p>- Intermediate data products can be found in the directory ./intermediate_data</p><p> </p><p>- This includes the calibrated X-ray data, VLA imaging scripts to determine the flux density and spectral index.</p><p> </p><p>- Scripts can also be found here for intermediate data products for several figures (1, 2, 3, 8)</p><p> </p><h2>Scientific-analysis</h2><p> </p><p>- The directory ./scientific_analysis contains scripts and data to reduce the raw data to the intermediate data products.</p><p> </p><p>- ./Xray_files how to calibrate the Swift X-ray spectra</p><p> </p><p>- ./Xray_spectral_evolution contains how the intermediate data products for figure 3</p><p> </p><p>- ./VLA_data_reduction how to reduce the VLA data and determine flux densities and spectral indices</p><p> </p><p>- ./Radio_Xray_Coupling contains the intermediate data products for figure 2</p><p> </p><p>- ./Xray_lightcurve_fitting contains intermediate data products for Table 3 and fitting performed in section 3.4</p><p> </p><p>- ./Orbital_Period contains intermediate data products for Table 4 and Figure 8</p><p> </p><p>- ./xray contains backup files related to the x-ray spectra</p><p> </p><p>- ./radio contains backup files related to the radio data</p><p> </p><p>- the main results (intermediate data products) are the .txt files in this directory</p>
Squat, stoop, or semi-squat: A comparative experiment on lifting technique
No full textThere are actually no sufficient data for lifting technique assessment. A laboratory study was undertaken to determine the effect of 3 regular lifting techniques on erector muscle activation, cardiovascular strain and subjective response. Thirty student volunteers participated in the study, and were required to lift a weight with different techniques. Stoop-, squat-, semi-squat-lifting resulted in 3, 2 and 1 time of the highest percentage of the maximum voluntary electrical activation (MVE%) respectively. In the same order, the lowest median frequency (MF) existed 1, 1 and 2 times. Muscle fatigue was 4 times in squat, 36 in semi-squat and 43 in stoop lifting. Heart rate was the highest in squat and lowest in stoop respectively, with a middle level in semi-squat lifting. It may be recommended to adopt mainly the semi-squat technique for daily lifting works. For heavy lifting, it should use the squat technique. Stoop lifting may also be used alternatively but for light things.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000307512000030&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Biochemistry & Molecular BiologySCI(E)2ARTICLE4630-6363
Financial markets’ deterministic aspects modeled by a low-dimensional equation
No full textWe ask whether empirical finance market data (Financial Stress Index, swap and equity, emerging and developed, corporate and government, short and long maturity), with their recently observed alternations between calm periods and financial turmoil, could be described by a low-dimensional deterministic model, or whether this requests a stochastic approach. We find that a deterministic model performs at least as well as one of the best stochastic models, but may offer additional insight into the essential mechanisms that drive financial markets.We ask whether empirical finance market data (Financial Stress Index, swap and equity, emerging and developed, corporate and government, short and long maturity), with their recently observed alternations between calm periods and financial turmoil, could be described by a low-dimensional deterministic model, or whether this requests a stochastic approach. We find that a deterministic model performs at least as well as one of the best stochastic models, but may offer additional insight into the essential mechanisms that drive financial markets
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