286 research outputs found
Nyateism vs teism-debatten : En analys av Dinesh D'Souza's argumentation
No full textDuring the last few years the western world has seen an increasing interest in the topic of atheism, with bestselling books by writers like Richard Dawkins, Sam Harris and Christopher Hitchens. The critic of religions that these writers have brought to the table have not gone unmet, with writers like Dinesh D'Souza rushing to the defence of Chrisianity. Taking on the arguments of New York Times bestselling author Dinesh D'Souza in the current debate on the existece of God and the usefullness of religion, I here examine the claim by D'Souza that atheism, in fact, is responsible for the worst mass murders of history. In taking D'Souza's arguments and analyzing them on its own philosophical merits, with methods like the process of elimination and information evaluation (i.e source criticism), I will here show just exactly how persuasive these arguments prove to be. In the following pages we will not only discuss the role of atheism in 20th centuary totalitarianism, but also answer questions like ”Was Hitler an atheist or a theist?”, ”Is atheism responsible for the worst crimes of history?” and ”Are people who believe in God in fact more moral the those who do not?
Determinig the efficacy of mathematical programming approaches for multi-group classification:
No full textManagers have been grappling with the problem of extracting patterns out of the vast database generated by their systems. The advent of powerful information systems in organizations and the consequent agglomeration of vast pool of data since the mid-1980s have created renewed interest in the usefulness of discriminant analysis (DA). Expert systems have come to the aid of managers in their day-to-day decision making with many successful applications in financial planning, sales management, and other areas of business operations (Erenguc and Koehler 1990).
Currently, no comprehensive research study exists that tests the robustness of multi-group classification analysis. Our research aims to bridge the gaps in the existing works and take a step further by extending our study to four-group classification problems. The main purpose of this research is to determine the efficacy of mathematical programming classification models, more specifically, LP methods vis-à-vis statistical approaches such as discriminant analysis (Mahalanobis) and logistic regression, an artificial intelligence (AI) technique such as a neural network, and a non-parametric technique such as k-nearest neighborhood (k-NN) for four-group classification problems. This research also proposes an integrated (hybrid) model that combines a non-parametric classification technique and a LP approach to enhance the overall classification performance. Furthermore, the study extends an existing two-group LP model (Bal et al. 2006) based on the work of (Lam and Moy 1996b) and apply it to four-group classification problems. These models are tested through robust computational experiments under varying data conditions using a financial product example. The characteristics of a real dataset are used to simulate (Monte Carlo method) multiple sample runs for four group classification problems with three continuous independent variables.
The experimental results show that LP approaches in general and the proposed integrated method in particular consistently have lower misclassification rates for most data characteristics. Furthermore, the integrated method utilizes the strengths of both the methods: k-NN and linear programming, thereby considerably improving the classification accuracy.Ph.D.Includes bibliographical references (p. 83-97)by Dinesh R. Pa
Conservative Author Dinesh D’Souza Celebrates America’s Greatness in Lawrence University Appearance
No full textNoted conservative author Dinesh D’Souza takes on the critics and defends America’s unique standing as the “freest and most decent society in existence” in an address Thursday, May 20 at Lawrence University.
Based on his 2002 book of the same name, D’Souza presents “What’s So Great About America” at 7:30 p.m. in the Lawrence Memorial Chapel.
Written in the wake of the September 11 terrorist attacks, “What’s So Great About America” celebrates the United States, in D’Souza’s view as, “the best life our world has to offer” while taking on those who hate America, including radical Muslims.
Born and raised in India, D’Souza, 43, immigrated to the United States in 1978. After earning a degree from Dartmouth University, he served as the editor of Prospect magazine and spent a year as managing editor of the conservative magazine Policy Review. In 1987, D’Souza joined the Reagan administration as a senior domestic policy analyst.
In addition to “What’s So Great About America,” D’Souza is the author of six other books, including 1991′s bestseller “Illiberal Education,” in which he casts a critical eye on the state of contemporary American higher education. He has also written a biography of Jerry Falwell, “Falwell: Before the Millennium,” provided a controversial view of the role of race in American society in “The End of Racism” and argues the case why Ronald Reagan should be considered among the nation’s greatest presidents in his 1997 book “Ronald Reagan: How an Ordinary Man Became an Extraordinary Leader.”
Hailed by Investor’s Business Daily as one of the “top young public-policy makers in the country,” D’Souza’s writing also has appeared in the Wall Street Journal, the New York Times, the Washington Post, Vanity Fair, Forbes, Harper’s and the Atlantic Monthly.
He currently serves as the Robert and Karen Rishwain Research Fellow at Stanford University’s Hoover Institution, specializing in issues of social and individual responsibility, civil rights and affirmative action, economics and society and higher education.
D’Souza is speaking at the invitation of the Lawrence College Republicans, and his appearance is sponsored by the Class of ’65 Student Activity Fund, the Young America’s Foundation, and the Outagamie County Republican Party
Thematic Analysis of Discussion Board Posts from a Self-Management Program for People With Systemic Sclerosis
No full textAbstract
Date Presented 3/31/2017
This session discusses the themes that emerged from discussion boards that were part of a self-management program for people with systemic sclerosis. Themes revealed more positive than negative strategies, thus supporting the inclusion of social interactions in self-management programs.
Primary Author and Speaker: Janet Poole
Additional Authors and Speakers: Sharon Newbill, Jennifer Serrano, Pedro Cuencas, Dinesh Khanna</jats:p
GENETIC ANALYSIS OF TROPICAL MAIZE (ZEA MAYS L.) INBRED LINES UNDER HEAT STRESS
No full textThe present investigation was carried out with the objective of estimating the genetic variability, heritability and genetic advance of key traits in tropical maize inbred lines .Analysis of variance revealed significant differences among the inbred lines for all the characters studied except for cob length,The PCV values were greater than GCV values for all the characters indicating considerable influence of environment on the expression of traits. High magnitude of GCV and PCV values were reported for an the sissilking interval (32.27 and 47.68), pollen shed duration (70.3 and 106.38), 100 grain weight (20.97 and 27.49), shelling per cent (28.18 and 35.30), grains per cob (95.56 and 104.4) and grains yield per plant (113.99 and 135.84). Broad sense heritability ranged from 34 per cent for cob length to 89 per cent for number of days to male flowering. High heritability along with high genetic advance as per cent of mean was observed for ear height (73% and 22.71), cob girth (67% and 21.16), shelling per cent (64% and 46.28), grains per cob (84% and 180.19) and grain yield per plant (70% and 197.04), favoring simple selection for the traits in early generations for developing heat tolerant maize
In silico Identification and Characterization of Conserved miRNAs and their Targets in Pigeon pea (Cajanus cajan L.) Expressed Sequence Tags
No full textMeasuring effectiveness and value of email advertisements in relationship-oriented email messages
No full textThesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2008.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Includes bibliographical references (p. 63-70).This thesis explores the value of email advertisements in relationship-based communication by measuring click-through rates. Advertisements were embedded within standard electronic mail messages in a template. The results are discussed in aggregate to better understand this medium and value in an advertising context, but the analysis also breaks down how six factors affect click behavior by recipients. The factors include the impact of a privacy statement, type of organizational recipients, click timing, recent advertisements, advertisement frequency, and advertisement relevance. The results are also analyzed using a chi-squared statistical test to determine whether the individual factor is significant in this analysis. This paper also discusses the privacy implications of advertising in a social-medium with comparisons to social ads using Facebook's Beacon as a benchmark. A discussion of how these results apply in an email environment where anti-SPAM infrastructure is a large part of the overall system is evaluated as well. Results show that internal recipients are an effective target market for relationship messaging and that emails often generate clicks days or weeks after the original message was delivered. The research is very relevant to email and targeted advertising, but also applies in a broader context to social advertising where there is a existing relationship between a sender and recipient.by Dinesh Shenoy.S.M
RT-DEFORM: Interactive Ray Tracing of Dynamic Scenes using BVHs
No full textPart of this work was performed while the primary author was
working at Intel corporation. We would like to thank Ingo Wald,
Alexander Reshetov, Gordon Stoll and UNC's GAMMA group for
helpful discussions and feedback, as well as the anonymous reviewers
for their comments. The model used for the dress simulation
is courtesy of Walt Disney Feature Animation and the
Bunny and Buddha models are courtesy of the 3D scanning repository
at Stanford University. This work was supported in part
by ARO Contracts DAAD19-02-1-0390 and W911NF-04-1-0088,
NSF awards 0400134 and 0118743, ONR Contract N00014-01-1-
0496, DARPA/RDECOM Contract N61339-04-C-0043, Intel, and
LOCAL LLNL LDRD project (05-ERD-018) and was performed
under the auspices of the U.S. Department of Energy by the University
of California, Lawrence Livermore National Laboratory under
Contract No. W-7405-Eng-48
Modelling delay and noise in arbitrarily coupled RC trees.
No full textClosed-form equations for second-order transfer functions of general arbitrarily coupled resistance-capacitance (RC) trees with multiple drivers are reported. The models allow precise delay and noise calculations for systems of coupled interconnects with guaranteed stability and represent the minimum complexity associated with this class of circuits. Their accuracy is extensively compared against other relevant models and is found to be better or comparable to more expensive models. All results are derived from a theoretical approach, and their physical basis is examined. The simplicity, accuracy, and generality of the models make them suitable for use in early signal integrity analyses of complex systems and incremental physical optimization
Seaweed minerals: unlocking functional food potential from an Indian perspective
No full textAbstract Minerals and trace elements are thought to be necessary for human nutrition, and seaweeds are well known for their accumulation capacity and the rate may vary based on the locations. Green seaweeds are recognized for their iron and magnesium content, whilst brown and red seaweeds prefer to accumulate manganese, iodine, sodium, potassium, and zinc. These properties provide significant opportunities for the functional food development industry to create new ingredients and generate employment. Additionally, certain seaweeds are considered as potential candidates for addressing the iodine deficiency through regular consumption, thus seaweeds hold great potential as functional foods. This review examines the role of minerals in seaweed farming followed by their impact on seaweed growth and nutritional value, the health benefits of mineral-enriched seaweed, and its market potential as a functional food. It also discusses about the limitations, challenges, pathways for popularization, and future opportunities for seaweed as a functional food. Author name: Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author 1 Given name: [S. Shek Mohamed] Last name [Ibrahim]. Author 2 Given name: [R. Suhail] Last name [Haq]. Author 3 Given name: [S. Dinesh] Last name [Kumar]. Also, kindly confirm the details in the metadata are correct. The author's given name modified accordingly. Graphical Abstrac
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