Christopher Finn

The lengths of the index finger (2D) and ring finger (4D) are sexually dimorphic in humans, and men have a smaller 2D:4D ratio compared to women. Prenatal androgens appear to be important in the development of the 2D:4D sex difference, since it has been reported in children as young as 2 years old, and since humans exposed to supernormal prenatal androgen levels display a smaller 2D:4D ratio. We tested whether another mammalian species in which the process of peripheral sexual differentiation is androgen-dependent might also show a sex difference in digit ratios. The 2D:4D ratio of adult outbred mice was calculated for both the left and right rear paws. A sex difference was observed in the right rear paw: female mice had a larger 2D:4D ratio than did males. We also found this difference in prepubescent weanling mice. This sex difference is in the same direction as that observed in humans, and suggests that sexual dimorphism in digit length ratios is a feature common to many, if not all, mammals. The mouse may therefore be a useful animal model for studying the factors that influence finger length patterns, which have recently been correlated with several specific behaviors and disease predispositions in humans.

American National Election Studies' (ANES) 2008 national survey data were used to explore the effects of pre‐election emotional responses to candidates on presidential vote. Consistent with decades of election study findings, party identification was the most influential predictor of vote choice. Nevertheless, self‐reported emotional responses to Barack Obama and John McCain, specifically hope, pride, and fear, predicted reported vote choice above and beyond party identification, ideology, and other predictors. In particular, the extent to which respondents reported that Obama made them feel hopeful served as a strong and reliable predictor of voting for Obama. Additionally, implicit preference for Whites over Blacks was a significant predictor of vote choice, robust to the inclusion of standard predictive variables, although not when all of the similarly affective emotion variables were included.

PreviousNext No AccessSEG Technical Program Expanded Abstracts 1986Estimation of three‐dimensional dip and curvature from reflection seismic dataAuthors: Christopher J. FinnMilo M. BackusChristopher J. FinnUniversity of Texas at Austin and Milo M. BackusUniversity of Texas at Austinhttps://doi.org/10.1190/1.1893089 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink: https://doi.org/10.1190/1.1893089FiguresReferencesRelatedDetailsCited ByTime-Frequency Spectral Decomposition Based on Dip Guided Window Function for Accurate Dip EstimationIEEE Geoscience and Remote Sensing Letters, Vol. 19Seismic Dip Estimation With a Domain Knowledge Constrained Transfer Learning ApproachIEEE Transactions on Geoscience and Remote Sensing, Vol. 60High-dimensional co-occurrence matrix: A new tool for 3D seismic target visualization and interpretationQiang Luo, Yibo Wang, Yikang Zheng, Xu Chang, Baodeng Wang, and Rongshu Zeng26 October 2020 | Interpretation, Vol. 8, No. 4Estimation of seismic dip and azimuth based on neural network learningYang Hao, Wei Chao, and Ma Shufang10 August 2019Reflector dip estimates based on seismic waveform curvature/flexure analysisHaibin Di and Ghassan AlRegib12 February 2019 | Interpretation, Vol. 7, No. 2Comprehensive Seismic Data Conditioning of the Bioclastic Limestone in the Middle East22 March 20193D structural-orientation vector guided autotracking for weak seismic reflections: A new tool for shale reservoir visualization and interpretationHaibin Di, Dengliang Gao, and Ghassan AlRegib25 September 2018 | Interpretation, Vol. 6, No. 4Structure constrained spectral decomposition based on matching-pursuit methodTengfei Lin, Bo Zhang, Xingfang Liu, and Kurt J Marfurt27 August 2018A new method for dip estimation based on seismic waveform curvature/flexure analysisHaibin Di and Ghassan Al Regib17 August 2017Interpretation II Complete Session17 August 2017References2 June 2017An Events Rearrangement Strategy-Based Robust Principle Component AnalysisIEEE Geoscience and Remote Sensing Letters, Vol. 14, No. 6Seismic attributes estimation using a self-adaptive windowTengfei Lin*, Junxin Guo, Bo Zhang, Kurt Marfurt, and Deshuang Chang5 August 2014Seismic attributes of time-vs. depth-migrated data using self-adaptive windowTengfei Lin*, Bo Zhang, Fangyu Li, Huailai Zhou, Kurt Marfurt, Zhifa Zhan, and Zhonghong Wan5 August 2014An introduction to this special section: ChronostratigraphyTracy J. Stark, Hongliu Zeng, and Alan Jackson6 February 2013 | The Leading Edge, Vol. 32, No. 2Horizon Indicator Attributes and ApplicationsPedro Mário Silva, Leonardo Martins, and Marcelo Gattass25 October 20121. Overview of Seismic Attributes21 March 20122. Volumetric Dip and Azimuth21 March 2012Robust estimates of 3D reflector dip and azimuthKurt J. Marfurt1 August 2006 | GEOPHYSICS, Vol. 71, No. 4Seismic attributes — A historical perspectiveSatinder Chopra and Kurt J. Marfurt14 September 2005 | GEOPHYSICS, Vol. 70, No. 53-D broad‐band estimates of reflector dip and amplitudeKurt J. Marfurt and R. Lynn Kirlin7 February 2012 | GEOPHYSICS, Vol. 65, No. 1 SEG Technical Program Expanded Abstracts 1986ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 1986 Pages: 715 publication data© 1986 Copyright © 1986 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 07 Mar 2005 CITATION INFORMATION Christopher J. Finn and Milo M. Backus, (1986), "Estimation of three‐dimensional dip and curvature from reflection seismic data," SEG Technical Program Expanded Abstracts : 355-358. https://doi.org/10.1190/1.1893089 Plain-Language Summary PDF DownloadLoading ...