Very often, we are unsure about what we ought to do. Under what conditions should we help to improve the lives of distant strangers rather than those of our family members? At what point does an embryo or foetus become a person, with all the rights that that entails? Is it ever permissible to raise and kill non-human animals in order to use their meat for food? Sometimes, this uncertainty arises out of empirical uncertainty: we might not know to what extent non-human animals feel pain, or how much we are really able to improve the lives of distant strangers compared to our family members. But this uncertainty can also arise out of fundamental normative uncertainty: out of not knowing, for example, what moral weight the wellbeing of distant strangers has compared to the wellbeing of our family; or whether non-human animals are worthy of moral concern even given knowledge of all the facts about their biology and psychology. In fact, for even moderately reflective agents, decision-making under normative uncertainty is ubiquitous. Given this, one might have expected philosophers to have devoted considerable research time to the question of how one ought to take one’s normative uncertainty into account in one’s decisions. But the issue has been largely neglected. This thesis attempts to begin to fill this gap. It addresses the question: what ought one to do when one is uncertain about what one ought to do? It develops a view that I call metanormativism: the view that there are second-order norms that govern action that are relative to a decision-maker’s uncertainty about first-order normative claims. In consists of two distinct parts. The first part (Chapters 1-4) develops a general metanormative theory. I argue in favour of the view that decision-makers should maximise expected choice-worthiness, treating normative uncertainty analogously with how they treat empirical uncertainty. I defend this view at length in response to two key problems, which I call the problems of merely ordinal theories and the problem of intertheoretic comparisons. The second part (Chapters 5-7) explores the implications of metanormativism for other philosophical issues. I suggest that it has important implications for the theory of rational action in the face of incomparable values, for the causal/evidential debate in decision-theory, and for the value we should ascribe to research into moral philosophy.

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1 Abstract This paper aims at an empirical corpus driven analysis of a closed set of German comparative idioms with adjectives. Regularities in their variations are examined from several points of view. The contrastive German-Czech perspective contributes to a more objective understanding of the phenomenon itself. Corpus research results are integrated into the context of practical lexicography. The strategy of equivalence in a bilingual dictionary is discussed and reevaluated both theoretically and practically. Keywords: phraseology, comparisons, variability, lexicography, dictionary, corpus

A hacker might use a rogue access point to gain access to a network, this poses athreat to the individuals connected to it. The hacker might have the potential to leakcorporate data or steal private information. The detection of rogue access points istherefore of importance to prevent any damage to both businesses and individuals.Comparing different software that detects rogue access points increases the chanceof someone finding a solution that suits their network. The different type of softwarethat are compared are intrusion detection systems, wireless scanners and a Ciscowireless lan controller. The parameters that are being compared are; cost, compat-ibility, detection capability and implementation difficulty. In order to obtain resultssome of the parameters require testing. As there are three types of software, threeexperiment environments should be conducted. Our research indicates that alreadyexisting network equipment or the size of the network affects the results from theexperiments.

The study seeks to determine the effect upon the Marascuilo Ú₀ statistic of violating the small sample assumption. The study employed a Monte Carlo simulation technique to vary the degree of sample size and unequal sample sizes within experiments to determine the effect of such conditions, Twenty-two simulations, with 1200 trials each, were used. The following conclusion appeared to be appropriate: The Marascuilo Ú₀ statistic should not be used with small sample sizes and it is recommended that the statistic be used only if sample sizes are larger than ten.

Many job seekers in higher education are unaware of how large a discrepancy there can be in terms of financial potential for mathematics education jobs in higher education. Recent research on this topic has focused on the base salary (Reys, Reys, & Estapa, 2013), but other financial factors have been left unstudied. Through two cases, the researcher demonstrates a large gap that exists in net pay when major financial factors beyond base salary are considered, specifically insurance and retirement benefits. This article will spur conversations among faculty and graduate students in mathematics education doctoral programs allowing mentors to draw from their own experiences when mentoring others in the search for a first or second job.

A sample of agricultural parcels in Salt Lake County, Utah was analyzed to determine the effects on assessed values and per acre taxes under alternative assessment methods; assessment according to market value or agricultural value (preferential treatment). The assessed value changes and tax shifting between all classes of taxable property in the county were calculated with and without the preferential assessment of agricultural land and at assessment levels equalized for all classes. Variations in assessed value, agricultural and market values and assessment ratios were analyzed for the parcels in the sample by location and size of the parcel, present use, occupation of the owner, and the degree of development of the surrounding land. Under preferential treatment the total assessed value of agricultural land would not be lower than the 1967 level. Farm land qualifying for preferential treatment would have lower per acre taxes.

In this dissertation, application of multi-way analysis is extended into new areas of environmental chemistry, microbiology, electrochemistry and organometallic chemistry. Additionally new practical aspects of some of the multi-way analysis methods are discussed. Parallel Factor Analysis Two (PARAFAC2) is used to classify a wide range of weathered petroleum oils using GC-MS data. Various chemical and data analysis issues exist in the current methods of oil spill analysis are discussed and the proposed method is demonstrated to have potential to be employed in identification of source of oil spills. Two important practical aspects of PARAFAC2 are exploited to deal with chromatographic shifts and non-diagnostic peaks.GEneralized Multiplicative ANalysis Of VAriance (GEMANOVA) is applied to assess the bactericidal activity of new natural antibacterial extracts on three species of bacteria in different structure and oxidation forms and different concentrations. In this work while the applicability of traditional ANOVA is restricted due to the high interaction amongst the factors, GEMANOVA is shown to return robust and easily interpretable models which conform to the actual structure of the data. Peptide-modified electrochemical sensors are used to determine three metal cations of Cu2+, Cd2+ and Pb2+ simultaneously. Two sets of experiments are performed using a four-electrode system returning a three-way array of size (sample ?? current ?? electrode) and a single electrode resulting in a two-way data set of size (sample ?? current). The data of former is modeled by N-PLS and that latter using PLS. Despite the presence of highly overlapped voltammograms and several sources of non-linearity N-PLS returns reasonable models while PLS fails. An intramolecular hydroamination reaction is catalyzed by several organometallic catalysts to identify the most effective catalysts. The reaction of starting material in the presence of 72 different catalysts is monitored by UV-Vis at two time points, before and after heating the mixtures in an oven. PARAFAC is applied to the three-way data set of (sample ?? wavelength ?? time) to resolve the overlapped UV-Vis peaks and to identify the effective catalysts using the estimated relative concentration of product (loadings plot of the sample mode).