923 research outputs found
Disrupt by the Rules. Interview with Florian Cramer
No full textHuman prejudices reemerge in algorithmic cultures allegedly devised to be blind to them. Algorithmic identity politics reinstate old forms of social segregation—in a digital world, identity politics is pattern discrimination. It is by recognizing patterns in input data that artificial intelligence algorithms create bias and practice racial exclusions thereby inscribing power relations into media.
These are just some of the questions explored by Clemens Apprich, Wendy Hui Kyong Chun, Hito Steyerl and Florian Cramer on Pattern Discrimination, a new book published by University of Minnesota Press in November 2018. After reading it, I wanted to learn more and got in contact with Florian Cramer, reader at Willem de Kooning Academy & Piet Zwart Institute in Rotterdam and author of the essay What Is Post-Digital
Audio Interview with Mr. Al Cramer
No full textAudio - Mr. Al Cramer talks about his time as a trapper, fur trader and farmer in Athabasca during the first few decades of the twentieth century. He describes trapping wolves for a ten dollar bounty, trapping foxes on McKay River and on a farm at Calling River, as well as the abundance of bears and moose in the area at the time. Mr. Cramer uses a map to point out the telegraph stations on the Athabasca River and to discuss the times and routes that the river pilots tookMr. Cramer answered questions put to him by Mr. Tannas very, quietly. Difficult to hear
Transcript of Audio Interview with Mr. Al Cramer
No full textNotes - This is a transcript of an audio interview (Tape 136 and 18) with Mr. Al Cramer. Mr. Cramer is one-hundred-and-three-years old in this interview. Mr. Cramer answers as many of the questions about his personal history as he is able. He talks of his life in general terms including his homesteads, his working life and some family history (13 pages
Cramer-Rao bounds for deterministic modal analysis
No full textHow accurately can deterministic modes be identified from a finite record of noisy data? In this paper we answer this question by computing the Cramer-Rao bound on the error covariance matrix of any unbiased estimator of mode parameters. The bound is computed for many of the standard parametric descriptions of a mode, including autoregressive and moving average parameters, poles and residues, and poles and zeros. Asymptotic, frequency domain versions of the Cramer-Rao bound bring insight into the role played by poles and zeros. Application of the bound to second- and fourth-order systems illustrates the coupling between estimator errors and illuminates the influence of mode locations on our ability to identify them. Application of the bound to the estimation of an energy spectrum illuminates the accuracy of estimators that presume to resolve spectral peaks.This work was supported by Bonneville Power Administration under Contract DEB17990BP07346 and by the Office of Naval Research under Contract N00014-89-J-1070
Author response
No full textTo quantify gene regulation, a function is required that relates transcription factor binding to DNA (input) to the rate of mRNA synthesis from a target gene (output). Such a 'gene regulation function' (GRF) generally cannot be measured because the experimental titration of inputs and simultaneous readout of outputs is difficult. Here we show that GRFs may instead be inferred from natural changes in cellular gene expression, as exemplified for the cell cycle in the yeast S. cerevisiae. We develop this inference approach based on a time series of mRNA synthesis rates from a synchronized population of cells observed over three cell cycles. We first estimate the functional form of how input transcription factors determine mRNA output and then derive GRFs for target genes in the clb2 gene cluster that are expressed during G2/M phase. Systematic analysis of additional GRFs suggests a network architecture that rationalizes transcriptional cell cycle oscillations. We find that a transcription factor network alone can produce oscillations in mRNA expression, but that additional input from cyclin oscillations is required to arrive at the native behaviour of the cell cycle oscillator
Listening Well in a World that Turns Away
No full textKatherine Cramer is an American political scientist and a professor at the University of Wisconsin-Madison. She is the author of The Politics of Resentment: Rural Consciousness in Wisconsin and the Rise of Scott Walker, the product of almost a decade of studying political attitudes in rural Wisconsin through ethnography.
Her work focuses on the way people in the United States make sense of politics. She is known for her innovative approach to the study of public opinion, in which she invites herself into the conversations of groups of people to listen to the way they understand public affairs. Cramer was the recipient of the 2017 American Political Science Association’s Qualitative and Multi-Method Research section Giovanni Sartori Award for the best book developing or using qualitative methods published in 2016, as well as a finalist for the 2017 APSA Woodrow Wilson Foundation Award for the best book on government, politics or international affairs
Key to some important aquatic plants of Oregon
No full textby Frank W. Stanton ; illustrations by Harold Cramer Smith.This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references (page 10).Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Association of retroplacental blood with basal plate myofibers
No full textObjectives: Diagnosed clinical abruption showing blood clot should be signed out in the pathology report as retroplacental hemorrhage with or without parenchymal indentation, and submitted clot separate from the placenta should be weighed. In our experience some cases sent as clinical abruptions have been cases of morbid adherence. This study was undertaken to evaluate the association of retroplacental blood with basal plate myofibers (BPMF).
Methods: 156 placentas reviewed by a board certified pediatric pathologist at a community hospital were evaluated for significant retroplacental blood. Basal plates were reviewed for deviations from normal.
Results: 33/156 placentas (21%) had significant retroplacental blood. 21/156 (13%) had a separate clot, of which 11/21 (52%) had basal plate myofibers (BPMF). 11 BPMF‐associated separate clots ranged from 10.5‐60 gms (average 23); while the clots of 10 cases with no demonstrated BPMF ranged from 19‐440 gms (average 82), tending to be larger (p<.03). Basal plate damage prior to delivery was noted in both sets of placentas. BPMF placentas could have myometrial damage prior to delivery.
Conclusions: Since BPMF may confer a risk for accreta in a subsequent pregnancy, submission of a separate clot with the placenta should lead the pathologist to evaluate for basal plate myofibers on H&E, and consider if there is an evidencebased indication to do an actin stain; before presuming a diagnosis of abruption.Peer reviewedAbstract published as Wyand, R. Cramer, S., Oshri, A., Heller, D. (2017). Association of retroplacental blood with basal plate myofibers. Placenta, 57, 280. http://dx.doi.org/10.1016/j.placenta.2017.07.18
Cox, Henry (Death, 1907-09-14)
No full textAddress: City Hospital 417 Chestnut St.Age at death: 50249/Pg 102/1907/M W W/Ky./Dr. D.W. Palmer/Theo Homer/German Protestant,Walnut HillsOriginal record filed in drawer labeled 'CORL-CRAMER'
Supporting Data for “Why So Slow? Mechanistic Insights from Studies of a Poor Catalyst for Polymerization of ε-Caprolactone”
No full textThese files contain data along with associated output from instrumentation supporting all results reported in Stasiw, D. E.; Mandal, M.; Neisen, B. D.; Mitchell, L. A.; Cramer, C. J.; Tolman, W. B. Why so slow? Mechanistic insights from studies of a poor catalyst for polymerization of ε-caprolactone. Inorg. Chem., 2016, 56, 725–728. Polymerization of ε-caprolactone (CL) using an aluminum alkoxide catalyst (1) designed to prevent unproductive trans binding was monitored at 110 °C in toluene-d8 by 1H NMR and the concentration versus time data fit to a first-order rate expression. A comparison of t1/2 for 1 to values for many other aluminum alkyl and alkoxide complexes shows much lower activity of 1 toward polymerization of CL. Density functional theory calculations were used to understand the basis for the slow kinetics. The optimized geometry of the ligand framework of 1 was found indeed to make CL trans binding difficult: no trans-bound intermediate could be identified as a local minimum. Nor were local minima for cis-bound precomplexes found, suggesting a concerted coordination–insertion for polymer initiation and propagation. The sluggish performance of 1 is attributed to a high-framework distortion energy required to deform the “resting” ligand geometry to that providing optimal catalysis in the corresponding transition-state structure geometry, thus suggesting a need to incorporate ligand flexibility in the design of efficient polymerization catalysts..
Corresponding author for experimental data is William B. Tolman ([email protected]).
Corresponding author for computational data is Christopher J. Cramer ([email protected]).Funding for this project was provided by the Center for Sustainable Polymers at the University of Minnesota, a National Science Foundation (NSF)-supported Center for Chemical Innovation (Grant CHE-1413862). The X-ray diffraction experiments were performed using a crystal diffractometer acquired through NSF-MRI Award CHE-1229400. The authors acknowledge the MSI at the University of Minnesota for providing resources that contributed to the research results.Tolman, William, B; Cramer, Christopher, J; Stasiw, Daniel E; Mandal, Mukunda; Neisen, Benjamin D; Mitchell, Lauren A. (2017). Supporting Data for “Why So Slow? Mechanistic Insights from Studies of a Poor Catalyst for Polymerization of ε-Caprolactone”. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D6F60H
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