1,530 research outputs found
Dr. Shay Welch, Spelman College, January 2013
No full textThis video is a conversation with Dr. Shay Welch. Dr. Welch talks about her book, "A Theory of Freedom: Feminism and the Social Contract". Brad Ost, AUC Woodruff Library, is the interviewer
Interview with James Welch, circa 1974
No full textWilliam “Bill” Bevis and author James Welch discuss Welch\u27s first novel Winter in the Blood (1974) and his style of writing both prose and poetry.
This audio has not been transcribed, but a tape counter index is available.https://scholarworks.umt.edu/montanawriters_radiointerviews/1006/thumbnail.jp
Letter from W. W. Bass to Harry Welch, (Phoenix) Chamber of Commerce
No full textLetter from W. W. Bass to Harry Welch protesting the proposed national park bill
Range of the Thermometer at Denton: 1858
No full textBooklet containing information about the temperature, wind, and weather in Denton, Texas from July to December 1858. Otis G. Welch was the author and illustrator of this book. He recorded his observations at sunrise, noon, 3 p.m., and sunset. Mr. Welch also made notes about the wind, weather, and clouds. We debated about the artwork on the cover and - with the help of the staff of the Fort Worth Botanical Research Institute of Texas - decided that it is either a bent angle Curie Thermometer OR a "flowering grass culm with two rows of seed heads along the central axis of sideoats grama (Bouteloua curtipendula).
Jack and Suzy Welch speak in spring author series
No full textRetired General Electric Company CEO Jack Welch and his wife and co-author, Suzy, spoke at Dominican University of California on May 14 at the Institute for Leadership Studies’ Spring Author Series, presented in partnership with Book Passage
Ironies of Social Control and the Criminalization of Immigrants
No full textAs moral panic over immigrants spread during the early 1990s, immigration policies became increasingly criminalized in the wake of the bombings of the World Trade Center in 1993 and o fthe Murrah Federal Building in OklahomaCity in 1995. In response to the threat o fterrorism at home, Congress enacted theIllegal Immigration Reform and Immigration Responsibility Act along with the Anti-Terrorism and Effective Death Penalty Act in 1996. Since then several key provisions of those statutes have produced numerous violations of civil liberties and immigrants' rights. Drawing on a conceptual framework developed by sociologist Gary T. Marx (1981), this article examines critically the contradictions and ironies of immigration control, specifically the most controversial aspects of the 1996 laws:court-stripping provisions, use of secret evidence, and growing register of deportable crimes. In light of the terrorist attacks on September 11th, 2001,the article expresses concerns over the government's current campaign to fight terrorism, especially the use of racial profiling and mass detention shrouded in secrecy.Originally published in journal Crime, Law & Social Change. The final publication is available at www.springerlink.com.Peer reviewe
Stock Returns and Equity Premium Evidence Using Dividend Price Ratios and Dividend Yields in Malaysia
No full textThe empirical findings of Goyal and Welch (2003) and Cochrane (2006) suggested that dividend yields and dividend ratios are robust predictors of annual stock returns and annual equity premia. However, Goyal and Welch (2003) asserted that many researchers considered dividend yields to be a good predictor for the equity premium before the 1990s but not after the 1990s. We apply these models to the Malaysian market. Our general findings suggest that the in-sample performances of the KLCI Malaysian datasets present similar results to those predicted by Goyal and Welch (2003, 2006). Meanwhile, the Mincer-Zarnowitz (1969) regression forecast tests for out of sample performances illustrate poor predictability of stock returns and equity premiums using both dividend price ratios and dividend yields. Cochrane (2006) suggested that if stock returns and dividend growth are not predictable, then price growth must be forecastable to bring the dividend yields back to equilibrium after any shock given that the dividend yields are stationary. We find that the growth of dividends is predictable using data deflated by changes in the consumer price index. Thus, the overall results suggest that both dividend price ratio and dividend yield models have significant effects though the dividend yield model is a superior predictor of stock returns and equity premiums in the Malaysian context.Dividend yields, Dividend price ratios, Stock returns, Equity premium, Asian financial crisis 1997
Modified Welch Berlekamp Algorithm to Decode Reed Solomon Codes
No full textIn this paper, the Reed Solomon Code is decoded using the Welch-Berlekamp Algorithm. The RS Decoder is implemented using Hardware Description Language VHDL (VHSIC hardware Description Language) and simulated on Modelsim software. Some modifications have been carried out on the Welch Berlekamp algorithm in such a way that it is easier to implement. A pilot design double error correction RS(63, 59) decoder has been written in VHDL and simulated. The XILINX FPGA layout RS(63, 59) is then obtained
Abolala Soudavar. Reassessing Early Safavid Art and History. Thirty-Five Years after Dickson & Welch 1981
No full textThe volume consists of seven individual studies which are bound together by their strong reliance on The Houghton Shahnameh (Cambridge, Mass., 1981) by Martin Bernard Dickson and Stuart Cary Welch and the deference of the author to this two-volume work. While the author engages multiple problems in the respective chapters, his overarching concern is for “Dickson & Welch 1981”: a seminal volume which Soudavar believes to have been unjustly marginalised, ignored, and/or criticised by subsequent..
Welch FFT Segment Size Selection Method for FFT Based Wide Band Spectrum Measurement
No full textAbstractWe introduce a Welch FFT segment size selection method for FFT-based wide band spectrum measurement in the context of smart spectrum access (SSA), in which statistical spectrum usage information of primary users (PUs), such as duty cycle (DC), will be exploited by secondary users (SUs). Energy detectors (EDs) based on Welch FFT can detect the presence of PU signals in a broadband environment efficiently, and DC can be estimated properly if a Welch FFT segment size is set suitably. There is a trade-off between detection performance and frequency resolution in terms of the Welch FFT segment size. The optimum segment size depends on signal-to-noise ratio (SNR) which makes practical and optimum segment size setting difficult. For this issue, we previously proposed a segment size selection method employing a relationship between noise floor (NF) estimation output and the segment size without SNR information. It can achieve accurate spectrum awareness at the expense of relatively high computational complexity since it employs exhaustive search to select a proper segment size. In this paper, we propose a segment size selection method that offers reasonable spectrum awareness performance with low computational complexity since limited search is used. Numerical evaluations show that the proposed method can match the spectrum awareness performance of the conventional method with 70% lower complexity or less.Abstract
We introduce a Welch FFT segment size selection method for FFT-based wide band spectrum measurement in the context of smart spectrum access (SSA), in which statistical spectrum usage information of primary users (PUs), such as duty cycle (DC), will be exploited by secondary users (SUs). Energy detectors (EDs) based on Welch FFT can detect the presence of PU signals in a broadband environment efficiently, and DC can be estimated properly if a Welch FFT segment size is set suitably. There is a trade-off between detection performance and frequency resolution in terms of the Welch FFT segment size. The optimum segment size depends on signal-to-noise ratio (SNR) which makes practical and optimum segment size setting difficult. For this issue, we previously proposed a segment size selection method employing a relationship between noise floor (NF) estimation output and the segment size without SNR information. It can achieve accurate spectrum awareness at the expense of relatively high computational complexity since it employs exhaustive search to select a proper segment size. In this paper, we propose a segment size selection method that offers reasonable spectrum awareness performance with low computational complexity since limited search is used. Numerical evaluations show that the proposed method can match the spectrum awareness performance of the conventional method with 70% lower complexity or less
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