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Richard Stafford Cripps. 1889-1952

G. Schuster
1955 Biographical Memoirs of Fellows of the Royal Society  
Richard Stafford Cripps 13 Richard Stafford Cripps was born on 24 April 1889. He was the youngest of a family of five-four sons and one daughter.  ...  Richard Stafford Cripps 23 immense increase in productive efficiency was necessary.  ... 
doi:10.1098/rsbm.1955.0003 fatcat:au6yqo7rivgb7dfo3ll7mpay3u

The Life of Richard Stafford Cripps

Ayana Deva
1958 International Affairs  
ASHTON-GWATKIN THE LIFE OF RICHARD STAFFORD Cripps. By Colin Cooke. London, Hodder & [| Stoughton, 1957. 415 pp. Illus. Index. 30s.  ...  All this is very well brought out in this official bio- graphy, written by Dr Cooke, Fellow and Senior Bursar of Magdalen College, Oxford, at the invitation of Dame Isobel Cripps, who also supplied him  ... 
doi:10.2307/2605882 fatcat:lxx5otpvqra65m46sn2a5punuu

: The Ascent of Man . Eric Cripps

Richard H. Osborne
1978 American Anthropologist  
Produced by Eric Cripps. 20 minutes. Rental $10, from Modern Film Rentals, purchase $225, from Wards Nat- ural Science Establishment. Richard H.  ... 
doi:10.1525/aa.1978.80.2.02a01360 fatcat:adfs3z2x7fdnbiscmy34iizx6q

Reference wanted

Richard S. Cripps
1929 Notes and Queries  
MMBS: ACCOUNT OF SIR RICHARD PHILLIPS.—Ralph Thomas in a note on Sir Richard Phillips in his ‘ Handbook of Fictitious Names’ states that Mr.  ... 
doi:10.1093/nq/156.3.48g fatcat:ianialhptzdv7nfl4gnof2j3ye

Purification of cardiac cells from Drosophila embryos

Anton L. Bryantsev, Richard M. Cripps
2012 Methods  
Recent genome-level innovations have enabled the identification of the entire cadre of genes that are expressed in specific tissues at particular developmental times. However, to be informative as to how individual cell types develop, this process relies upon the successful and efficient purification of cells for a particular tissue. Here, we describe a method to isolate cardiac cells from Drosophila embryos. We generated transgenic embryos in which a cardiac-specific enhancer of the
more » ... ea receptor (Sur) gene drove expression of the Green Fluorescent Protein (GFP) gene. Homogenized embryos were subjected to fluorescence activated cell sorting (FACS), resulting in approximately 50,000 cardiac cells purified. The prevalence of cardiac cells in the purified population was high, based upon a significant enrichment for cardiac-specific marker genes, including Sur and Toll. This enrichment also enabled the identification of cardiac-specific alternatively spliced isoforms of the Zasp66 gene. In the future, this approach can be used to describe the cardiac transcriptome of Drosophila at distinct stages of embryonic development.
doi:10.1016/j.ymeth.2011.11.004 pmid:22119843 pmcid:PMC3299897 fatcat:hsvfcin5h5bpxolx6fvlnpb7na

Bayesian Nonparametric Adaptive Spectral Density Estimation for Financial Time Series [article]

Nick James, Roman Marchant, Richard Gerlach, Sally Cripps
2019 arXiv   pre-print
Discrimination between non-stationarity and long-range dependency is a difficult and long-standing issue in modelling financial time series. This paper uses an adaptive spectral technique which jointly models the non-stationarity and dependency of financial time series in a non-parametric fashion assuming that the time series consists of a finite, but unknown number, of locally stationary processes, the locations of which are also unknown. The model allows a non-parametric estimate of the
more » ... ency structure by modelling the auto-covariance function in the spectral domain. All our estimates are made within a Bayesian framework where we use aReversible Jump Markov Chain Monte Carlo algorithm for inference. We study the frequentist properties of our estimates via a simulation study, and present a novel way of generating time series data from a nonparametric spectrum. Results indicate that our techniques perform well across a range of data generating processes. We apply our method to a number of real examples and our results indicate that several financial time series exhibit both long-range dependency and non-stationarity.
arXiv:1902.03350v1 fatcat:5dyfxn2g35c2je7hgt6qzihtcm

Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models

Richard Scalzo, Mark Lindsay, Mark Jessell, Guillaume Pirot, Jeremie Giraud, Edward Cripps, Sally Cripps
2022 Geoscientific Model Development  
Abstract. Parametric geological models such as implicit or kinematic models provide low-dimensional, interpretable representations of 3-D geological structures. Combining these models with geophysical data in a probabilistic joint inversion framework provides an opportunity to directly quantify uncertainty in geological interpretations. For best results, care must be taken with the intermediate step of rendering parametric geology in a finite-resolution discrete basis for the geophysical
more » ... tion. Calculating geophysics from naively voxelized geology, as exported from commonly used geological modeling tools, can produce a poor approximation to the true likelihood, degrading posterior inference for structural parameters. We develop a simple integrated Bayesian inversion code, called Blockworlds, showcasing a numerical scheme to calculate anti-aliased rock properties over regular meshes for use with gravity and magnetic sensors. We use Blockworlds to demonstrate anti-aliasing in the context of an implicit model with kinematic action for simple tectonic histories, showing its impact on the structure of the likelihood for gravity anomaly.
doi:10.5194/gmd-15-3641-2022 fatcat:55vn7hxf7nec3b2rndkh4ks5pe

Twist Is Required for Muscle Template Splitting during AdultDrosophilaMyogenesis

Richard M. Cripps, Eric N. Olson
1998 Developmental Biology  
We have recently identified a requirement for Twist in patterning the adult musculature (Cripps et al., 1998) .  ...  ., 1995; Baylies and Bate, 1996) , and they also play important roles in adult muscle development Cripps et al., 1998) .  ... 
doi:10.1006/dbio.1998.9040 pmid:9806776 fatcat:aaplwqcvebclrolk3gro5bh43q

Control of Cardiac Development by an Evolutionarily Conserved Transcriptional Network

Richard M. Cripps, Eric N. Olson
2002 Developmental Biology  
., , 1998 Cripps et al., 1999) .  ...  Expression of Mef2, like tin, initiates in the early mesoderm as a direct target of Twist (Taylor et al., 1995; Cripps et al., 1998; Nguyen and Xu, 1998) .  ... 
doi:10.1006/dbio.2002.0666 pmid:12027431 fatcat:wwxo5wurdvauzjqm5ctanhk7qu

Cardiac gene regulatory networks in Drosophila

Anton L. Bryantsev, Richard M. Cripps
2009 Biochimica et Biophysica Acta. Gene Regulatory Mechanisms  
Acknowledgements Research in the Cripps Laboratory is supported by grants from the NIH (GM61738, HL080545) American Heart Association, Pacific-Mountain Affiliate, and the March of Dimes Birth Defects Foundation  ... 
doi:10.1016/j.bbagrm.2008.09.002 pmid:18849017 pmcid:PMC2706142 fatcat:pvygzwqsj5dpjeqfezdtxkqtwa

Myocyte Enhancer Factor 2 Transcription Factors in Heart Development and Disease [chapter]

Brian L. Black, Richard M. Cripps
2010 Heart Development and Regeneration  
The Black and Cripps laboratories are supported by grants from the NIH. references  ...  Sequences within this region show strong binding to Twist protein in vitro, and ectopic Twist activates the enhancer (Cripps et al., 1998; Nguyen and Xu, 1998) .  ...  Following these important cell fate decisions, the two rows of cardial cells on either side of the embryo migrate dorsally and meet at the midline to form a linear cardiac tube (Cripps and Olson, 2002  ... 
doi:10.1016/b978-0-12-381332-9.00030-x fatcat:t77ar3dflbbqzdhvselb5jgzfe

Control ofDrosophilaParamyosin/Miniparamyosin Gene Expression

Juan J. Arredondo, Raquel Marco Ferreres, Miguel Maroto, Richard M. Cripps, Roberto Marco, Sanford I. Bernstein, Margarita Cervera
2000 Journal of Biological Chemistry  
To define the transcriptional mechanisms contributing to stage-and tissue-specific expression of muscle genes, we performed transgenic analysis of Drosophila paramyosin gene regulation. This gene has two promoters, one for paramyosin and one for miniparamyosin, which are active in partially overlapping domains. Regions between ؊0.9 and ؊1.7 kilobases upstream of each initiation site contribute to the temporal and spatial expression patterns. By comparing the Drosophila melanogaster and
more » ... a virilis promoters, conserved binding sites were found for known myogenic factors, including one MEF2 site and three E boxes. In contrast with previous data, our experiments with the paramyosin promoter indicate that the MEF2 site is essential but not sufficient for proper paramyosin gene transcription. Mutations in the three E boxes, on the other hand, do not produce any effect in embryonic/larval muscles. Thus MEF2 site-and E box-binding proteins can play different roles in the regulation of different muscle-specific genes. For the miniparamyosin promoters, several conserved sequences were shown to correspond to functionally important regions. Our data further show that the two promoters work independently. Even when both promoters are active in the same muscle fiber, the transcription driven by one of the promoters is not affected by transcription driven by the other.
doi:10.1074/jbc.m009302200 pmid:11110792 fatcat:ed4fu3h6ezffpouxjk2fupqne4

FGF signaling promotes myoblast proliferation through activation of wingless signaling

Kumar Vishal, TyAnna L. Lovato, Chandler Bragg, Maria B. Chechenova, Richard M. Cripps
2020 Developmental Biology  
Indirect flight muscles (IFMs) are the largest muscles in Drosophila and are made up of hundreds of myonuclei. The generation of these giant muscles requires a large pool of wing disc associated adult muscle precursors (AMPs), however the factors that control proliferation to form this myoblast pool are incompletely known. Here, we examine the role of fibroblast growth factor (FGF) signaling in the proliferation of wing disc associated myoblasts. We find that the components of FGF signaling are
more » ... expressed in myoblasts and surrounding epithelial cells of the wing disc. Next, we show that attenuation of FGF signaling results in a diminished myoblast pool. This reduction in the pool size is due to decreased myoblast proliferation. By contrast, activating the FGF signaling pathway increases the myoblast pool size and restores the proliferative capacity of FGF knockdown flies. Finally, our results demonstrate that the FGF receptor Heartless acts through up-regulating β-catenin/Armadillo signaling to promote myoblast proliferation. Our studies identify a novel role for FGF signaling during IFM formation and uncover the mechanism through which FGF coordinates with Wingless signaling to promote myoblast proliferation.
doi:10.1016/j.ydbio.2020.05.009 pmid:32445643 pmcid:PMC7648665 fatcat:f3drv2a76ncnrjwdk4ysyia4ze

Identification of the gene responsible for the wings apart phenotype in Drosophila melanogaster

Ginny R. Morriss, Carmelita T. Jaramillo, Richard M. Cripps
2011 Developmental Biology  
Jaramillo, Richard M. Cripps University of New Mexico, Albuquerque, NM, USA Biology, University of Washington and PREST, JST, Tokyo 102-0075, Japan  ... 
doi:10.1016/j.ydbio.2011.05.429 fatcat:7s6j7f4wabanboeenaf5pjoywe

Bayesian optimization with informative parametric models via sequential Monte Carlo

Rafael Oliveira, Richard Scalzo, Robert Kohn, Sally Cripps, Kyle Hardman, John Close, Nasrin Taghavi, Charles Lemckert
2022 Data-Centric Engineering  
Bayesian optimization (BO) has been a successful approach to optimize expensive functions whose prior knowledge can be specified by means of a probabilistic model. Due to their expressiveness and tractable closed-form predictive distributions, Gaussian process (GP) surrogate models have been the default go-to choice when deriving BO frameworks. However, as nonparametric models, GPs offer very little in terms of interpretability and informative power when applied to model complex physical
more » ... na in scientific applications. In addition, the Gaussian assumption also limits the applicability of GPs to problems where the variables of interest may highly deviate from Gaussianity. In this article, we investigate an alternative modeling framework for BO which makes use of sequential Monte Carlo (SMC) to perform Bayesian inference with parametric models. We propose a BO algorithm to take advantage of SMC's flexible posterior representations and provide methods to compensate for bias in the approximations and reduce particle degeneracy. Experimental results on simulated engineering applications in detecting water leaks and contaminant source localization are presented showing performance improvements over GP-based BO approaches.
doi:10.1017/dce.2022.5 fatcat:2ncvrm7yzvhrhhi5lvxxtbil7m
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