A Hope for Heaven

Undergraduate 2-

The Self-Undermining Arguments from Disagreement

Arguments from disagreement against moral realism begin by calling attention to widespread, fundamental moral disagreement among a certain group of people. Then, some skeptical or anti-realist-friendly conclusion is drawn. Chapter 2 proposes that arguments from disagreement share a structure that makes them vulnerable to a single, powerful objection: they self-undermine. For each formulation of the argument from disagreement, at least one of its premises casts doubt either on itself or on one of the other premises. On reflection, this shouldn’t be surprising. These arguments are intended to support very strong metaphysical or epistemological conclusions about morality. They must therefore employ very strong metaphysical or epistemological premises. But, given the pervasiveness of disagreement in philosophy, especially about metaphysics and epistemology, very strong premises are virtually certain to be the subject of widespread, intractable disagreement—precisely the sort of disagreement that proponents of these arguments think undermine moral claims. Thus, these arguments undermine their own premises. If Chapter 2’s argument is sound, it provides realists with a single, unified strategy for responding to any existing or forthcoming arguments from disagreement

Two-sided Lp estimates of convolution transforms

Let f and g be two Lebesgue measurable functions on the real line

Against Scanlon's Theory of the Strength of Practical Reasons

We often say that one reason is stronger, or weightier, than another. These are metaphors. What does normative strength or weight really consist in? Scanlon (2014) offers a novel answer to this question. His answer appeals to counterfactuals of various kinds. I argue that appealing to counterfactuals leads to deep problems for his view

From Tarde to Deleuze and Foucault: The Infinitesimal Revolution (Review)

From Tarde to Deleuze and Foucault: The Infinitesimal Revolution ,Palgrave Macmillan: London, 2018; 154 pp.: ISBN 9783319551487 Sergio Tonkonoff

Patient Outcomes Following Hip and Knee Joint Replacement Surgery: Role of the Social and Physical Environment in Recovery

Osteoarthritis is a degenerative joint disease that affects over 27 million Americans (Centers for Disease Control & Prevention, 2014). Joint replacement surgery is often recommended for patients who do not respond to conventional medical treatment. Post-surgical rehabilitation, especially occupational therapy (OT), promotes recovery in patients with osteoarthritis. Occupational therapy intervention is aimed at improving one’s ability to function independently in various environments and complete basic tasks of everyday life, such as eating, bathing, shopping, driving, and preparing food. While such tasks may seem mundane for some, others faced with debilitating conditions struggle to complete them without assistance. For individuals with osteoarthritis, social and environmental factors, including the social environment, the physical home environment, and the physical community environment influence recovery from hip and knee joint replacement surgery. However, these factors are not always considered in OT intervention. This study examines the influence of these three factors among older adults age 50-80 years who have had a recent hip or joint knee replacement surgery. The purpose of this study is to understand the role of the social and physical environments during post-surgical rehabilitation

A Conversation with Ingram Olkin

Ingram Olkin was born on July 23, 1924 in Waterbury, Connecticut. His family moved to New York in 1934 and he graduated from DeWitt Clinton High School in 1941. He served three years in the Air Force during World War II and obtained a B.S. in mathematics at the City College of New York in 1947. After receiving an M.A. in mathematical statistics from Columbia in 1949, he completed his graduate studies in the Department of Statistics at the University of North Carolina in 1951. His dissertation was written under the direction of S. N. Roy and Harold Hotelling. He joined the Department of Mathematics at Michigan State University in 1951 as an Assistant Professor, subsequently being promoted to Professor. In 1960, he took a position as Chair of the Department of Statistics at the University of Minnesota. He moved to Stanford University in 1961 to take a joint position as Professor of Statistics and Professor of Education; he was also Chair of the Department of Statistics from 1973--1976. In 2007, Ingram became Professor Emeritus. Ingram was Editor of the Annals of Mathematical Statistics (1971--1972) and served as the first editor of the Annals of Statistics from 1972--1974. He was a primary force in the founding of the Journal of Educational Statistics, for which he was also Associate Editor during 1977--1985. In 1984, he was President of the Institute of Mathematical Statistics. Among his many professional activities, he has served as Chair of the Committee of Presidents of Statistical Societies (COPSS), Chair of the Committee on Applied and Theoretical Statistics of the National Research Council, Chair of the Management Board of the American Education Research Association, and as Trustee for the National Institute of Statistical Sciences. He has been honored by the American Statistical Association (ASA) with a Wilks Medal (1992) and a Founder's Award (1992). The American Psychological Association gave him a Lifetime Contribution Award (1997) and he was elected to the National Academy of Education in 2005. He received the COPSS Elizabeth L. Scott Award in 1998 and delivered the R. A. Fisher Lecture in 2000. In 2003, the City University of New York gave him a Townsend Harris Medal. An author of 5 books, an editor of 10 books, and an author of more than 200 publications, Ingram has made major contributions to statistics and education. His research has focused on multivariate analysis, majorization and inequalities, distribution theory, and meta-analysis. A volume in celebration of Ingram's 65th birthday contains a brief biography and an interview [Gleser, Perlman, Press and Sampson (1989)]. Ingram was chosen in 1997 to participate in the American Statistical Association Distinguished Statistician Video Series and a videotaped conversation and a lecture (Olkin, 1997) are available from the ASA (1997, DS041, DS042).Comment: Published in at http://dx.doi.org/10.1214/088342307000000122 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

Semantic integrity in data warehousing : a framework for understanding : a thesis presented in partial fulfilment of the requirements for the degree of Masters of Business Studies in Information Systems at Massey University, Palmerston North, New Zealand

Data modelling has gathered an increasing amount of attention by data warehouse developers as they come to realise that important implementation decisions such as data integrity, performance and meta data management, depend on the quality of the underlying data model. Not all organisations model their data but where they do, Entity-Relationship (E-R) modelling, or more correctly relational modelling, has been widely used. An alternative, dimensional modelling, has been gaining acceptance in recent years and adopted by many practitioners. Consequently, there is much debate over which form of modelling is the most appropriate and effective. However, the dimensional model is in fact based on the relational model and the two models are not so different that a debate is necessary. Perhaps, the real focus should be on how to abstract meaning out of the data model. This research explores the importance of semantic integrity during data warehouse design and its impact on the successful use of the implemented warehouse. This has been achieved through a detailed case study. Consequently, a conceptual framework for describing semantic integrity has been developed. The purpose of the framework is to provide a theoretical basis for explaining how a data model is interpreted through the meaning levels of understanding, connotation and generation, and also how a data model is created from an existing meaning structure by intention, generation and action. The result of this exploration is the recognition that the implementation of a data warehouse may not assist with providing a detailed understanding of the semantic content of a data warehouse

Ion chambers simplify absolute intensity measurements in the vacuum ultraviolet

Single or double ion chamber technique measures absolute radiation intensities in the extreme vacuum ultraviolet region of the spectrum. The ion chambers use rare gases as the ion carrier. Photon absorbed by the gas creates one ion pair so a measure of these is a measure of the number of incident photons