Measures and models for angular correlation and angular-linear correlation

Population models for dependence between two angular measurements and for dependence between an angular and a linear observation are proposed. The method of canonical correlations first leads to new population and sample measures of dependence in this latter situation. An example relating wind direction to the level of a pollutant is given. Next, applied to pairs of angular measurements, the method yields previously proposed sample measures in some special cases and a new sample measure in general

Blessed with the Faculty of Mirthfulness: The New Journalism and Irish Local Newspapers in 1900

Throughout the nineteenth century, several developments contrived – mostly indirectly – to make newspaper publishing in Britain an attractive business prospect. These included rising literacy levels, the abolition of taxes on newspapers in 1855 and innovations in the way newspapers were produced and distributed. From the mid-nineteenth century onwards this had the effect, in both Britain and Ireland, of increasing in multiples the number of different newspapers that were published (Cullen, 1989: 4–5). Likewise, in Dublin as in London, lively debates took place on the desirability of these developments, and the question of the social function of journalism was widely discussed (Anon, 1858; Anon, 1863; Elrington, 1867; Autolycus, 1879). One of the most discernible changes in British journalism in the last quarter of the nineteenth century – and one also that intensified this debate – was a movement to a ‘new journalism’

Capital Planning, Selection, and Investment (Integrating Sustainability in Decision-making)

Inspired by Pope Francis’s call for a new journey that instills the importance of conservation and care for the environment, we propose a practical model that mathematically incorporates sustainability issues into capital planning, selection, and investment.Evidence suggests that managers apply net present value (NPV) methodologies in a way that disadvantages environmentally sustainable investments. If an NPV model does not consider the costs and risks of non-sustainable projects, then the potential benefits of alternative sustainable investments will appear much less valuable than present costs. Sustainable investments also often require larger initial investments with long-term benefits and distant cash flow time horizons that are discounted at exponentially higher rates. Moreover, identified environmental costs and benefits are generally limited to savings associated with energy costs, while hidden reductions in externalities are ignored. Thus, as commonly used, NPV models bias against sustainable alternatives in investment selection.This article integrates accounting, finance, and engineering literatures to develop a model that incorporates sustainability and environmental impacts into capital selection through a life-cycle impact assessment (LCIA) appraisal. We operationalize LCIA so that hidden environmental costs and benefits can be identified, analyzed, and priced, thus resulting in a better prediction of cash flows. The model also integrates environmental risks into the cost of capital by developing a sustainability risk-adjusted discount rate and sustainability-cost NPV that effectively captures the sustainability exposures of capital projects, thus resulting in a risk-adjusted sustainable framework for decision-making

Capital Planning, Selection, and Investment (Integrating Sustainability in Decision-making)

Inspired by Pope Francis’s call for a new journey that instills the importance of conservation and care for the environment, we propose a practical model that mathematically incorporates sustainability issues into capital planning, selection, and investment. Evidence suggests that managers apply net present value (NPV) methodologies in a way that disadvantages environmentally sustainable investments. If an NPV model does not consider the costs and risks of non-sustainable projects, then the potential benefits of alternative sustainable investments will appear much less valuable than present costs. Sustainable investments also often require larger initial investments with long-term benefits and distant cash flow time horizons that are discounted at exponentially higher rates. Moreover, identified environmental costs and benefits are generally limited to savings associated with energy costs, while hidden reductions in externalities are ignored. Thus, as commonly used, NPV models bias against sustainable alternatives in investment selection. This article integrates accounting, finance, and engineering literatures to develop a model that incorporates sustainability and environmental impacts into capital selection through a life-cycle impact assessment (LCIA) appraisal. We operationalize LCIA so that hidden environmental costs and benefits can be identified, analyzed, and priced, thus resulting in a better prediction of cash flows. The model also integrates environmental risks into the cost of capital by developing a sustainability risk-adjusted discount rate and sustainability-cost NPV that effectively captures the sustainability exposures of capital projects, thus resulting in a risk-adjusted sustainable framework for decision-making

HOST GENETIC CONTROL OF RECOVERY FROM FRIEND LEUKEMIA VIRUS-INDUCED SPLENOMEGALY : Mapping of a Gene Within the Major Histocompatability Complex

The influence of the major mouse histocompatibility gene complex (H-2) on the response of mice to Friend leukemia virus was studied in F1 congenic mice differing only at genes within the H-2 complex. F1 mice which were H-2b/b had a high incidence of recovery from splenomegaly compared to H-2b/d or H-2b/a mice. In mice with recombinations within the H-2 complex a gene (designated RFV-1), responsible for the Friend virus recovery effect, was found to map near or within the D region of serologically detectable transplantation antigens. Because the incidence of recovery was much higher in F1 H-2b/b mice than in parental H-2b/b mice, other non-H-2 host genetic factors also appear to be important to expression of recovery in H-2b/b F1 mice. The mechanisms of action of these genes remain unknown

Field‐Based Estimates of Thermal Tolerance Limits for Trout: Incorporating Exposure Time and Temperature Fluctuation

We used temperature and fish data from streams across Michigan and Wisconsin to estimate upper thermal tolerance limits for brook trout Salvelinus fontinalis and brown trout Salmo trutta. Tolerance limits were estimated for the maximum daily mean temperature (MEANT), maximum daily maximum temperature (MAXT), and maximum daily temperature range (RNGT) at exposure lengths of 1, 3, 7, 14, 21, 28, 35, 42, 49, 56, and 63 d. We found no difference in the upper thermal tolerance limit for brook and brown trout. For time periods of 1–14 d, the upper temperatures tolerated by trout decreased rapidly from 25.3°C to 22.5°C for MEANT and from 27.6°C to 24.6°C for MAXT. For time periods from 21 to 63 d, the upper temperatures tolerated by trout declined more gradually from 22.1°C to 21.0°C for MEANT and from 24.2°C to 22.9°C for MAXT. The 7‐d upper tolerance limit was 23.3°C for MEANT and 25.4°C for MAXT. The maximum RNGT tolerated by trout varied as a function of mean temperature and length of exposure. Our findings suggest that chronic temperature effects as well as temperature fluctuation play an important role in limiting salmonid distributions and therefore should be considered when developing management objectives and water quality standards.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141436/1/tafs0365.pd

A Comparison of Statistical Approaches for Predicting Stream Temperatures Across Heterogeneous Landscapes 1

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73725/1/j.1752-1688.2009.00341.x.pd

Classifying Regional Variation in Thermal Regime Based on Stream Fish Community Patterns

Although the importance of water temperature to the ecology of stream fishes is well documented, relatively little information is available on the extent of regional variation in thermal regime and its influence on stream fish distribution and abundance patterns. In streams draining the heterogeneous glacial landscape of Michigan’s Lower Peninsula, regional variation in summer mean temperature and temperature fluctuation is among the highest reported in the literature. We developed a habitat classification to simplify the description of thermal regimes and to describe the relationships between available thermal regimes and distribution patterns of stream fishes. Changes in community composition, species richness, and standing stocks of key fish species occurred across gradients in mean temperature and temperature fluctuation. These changes were used to identify three mean temperature categories (cold, <19°C; cool, 19–<22°C; and warm, ≥22°C) and three temperature fluctuation categories (stable, <5°C; moderate, 5–<10°C; and extreme, ≥10°C). The combination of these categories resulted in a 3 × 3 matrix with nine discrete thermal regimes. The classification developed in this study provides a framework for descriptions of the realized thermal niche of stream fishes, and can be used as a baseline for measurement of changes in distribution patterns associated with future climate warming. Our results suggest that observed differences in community structure among sites are largely attributable to spatial variation in mean temperature and temperature fluctuation. Thus, accounting for the linkage between regional variation in thermal regime and fish community structure should improve our ability to effectively assess and manage stream resources.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141912/1/tafs0018.pd