Toward a Better World: Finnish Utopian Communities since 1972

The utopian communities of Finns are linked to world history and the great ideological foundations behind numerous utopian endeavors. In the paper, Finnish utopian communities will be described, compared, and contrasted by their ideological backgrounds and in a global context. In addition, the reasons for the dissolution of these settlements are analyzed. Even though the Finnish utopian communities are not often mentioned together with More's Utopia, or with Fourier, Owen, Cabet, or Oneida, they have an interesting history reaching back to the 1792 “New Jerusalem” plan in Sierra Leone. While the best-known Finnish utopian ventures are Sointula in Canada (1901-1905) and Colonia Finlandesa (1906-1940) in Argentina there were, however, almost twenty similar Finnish ventures around the world based on nationalism, utopian socialism, cooperative movements, “tropic fevers,” and religious ideas.

Subverting the subject position : toward a new discourse about students as writers and engineering students as technical communicators

There is ample evidence of a longstanding and pervasive discourse positioning students, and engineering students in particular, as “bad writers.” This is a discourse perpetuated within the academy, the workplace, and society at large. But what are the effects of this discourse? Are students aware faculty harbor the belief students can’t write? Is student writing or confidence in their writing influenced by the negative tone of the discourse? This dissertation attempts to demonstrate that a discourse disparaging student writing exists among faculty, across disciplines, but particularly within the engineering disciplines, as well as to identify the reach of that discourse through the deployment of two attitudinal surveys—one for students, across disciplines, at Michigan Technological University and one for faculty, across disciplines at universities and colleges both within the United States and internationally. This project seeks to contribute to a more accurate and productive discourse about engineering students, and more broadly, all students, as writers—one that focuses on competencies rather than incompetence, one that encourages faculty to find new ways to characterize students as writers, and encourages faculty to recognize the limits of the utility of practitioner lore.

Toward an early diagnosis of lung cancer: an autoantibody signature for squamous cell lung carcinoma

Serum-based diagnosis offers the prospect of early lung carcinoma detection and of differentiation between benign and malignant nodules identified by CT. One major challenge toward a future blood-based diagnostic consists in showing that seroreactivity patterns allow for discriminating lung cancer patients not only from normal controls but also from patients with non-tumor lung pathologies. We addressed this question for squamous cell lung cancer, one of the most common lung tumor types. Using a panel of 82 phage-peptide clones, which express potential autoantigens, we performed serological spot assay. We screened 108 sera, including 39 sera from squamous cell lung cancer patients, 29 sera from patients with other non-tumor lung pathologies, and 40 sera from volunteers without known disease. To classify the serum groups, we employed the standard Naïve Bayesian method combined with a subset selection approach. We were able to separate squamous cell lung carcinoma and normal sera with an accuracy of 93%. Low-grade squamous cell lung carcinoma were separated from normal sera with an accuracy of 92.9%. We were able to distinguish squamous cell lung carcinoma from non-tumor lung pathologies with an accuracy of 83%. Three phage-peptide clones with sequence homology to ROCK1, PRKCB1 and KIAA0376 reacted with more than 15% of the cancer sera, but neither with normal nor with non-tumor lung pathology sera. Our study demonstrates that seroreactivity profiles combined with statistical classification methods have great potential for discriminating patients with squamous cell lung carcinoma not only from normal controls but also from patients with non-tumor lung pathologies.

EVALUATING INFRASTRUCTURE PERFORMANCE TO ASSIST FACILITY MANAGEMENT TOWARD SUSTAINABLE SYSTEMS

Civil infrastructure provides essential services for the development of both society and economy. It is very important to manage systems efficiently to ensure sound performance. However, there are challenges in information extraction from available data, which also necessitates the establishment of methodologies and frameworks to assist stakeholders in the decision making process. This research proposes methodologies to evaluate systems performance by maximizing the use of available information, in an effort to build and maintain sustainable systems. Under the guidance of problem formulation from a holistic view proposed by Mukherjee and Muga, this research specifically investigates problem solving methods that measure and analyze metrics to support decision making. Failures are inevitable in system management. A methodology is developed to describe arrival pattern of failures in order to assist engineers in failure rescues and budget prioritization especially when funding is limited. It reveals that blockage arrivals are not totally random. Smaller meaningful subsets show good random behavior. Additional overtime failure rate is analyzed by applying existing reliability models and non-parametric approaches. A scheme is further proposed to depict rates over the lifetime of a given facility system. Further analysis of sub-data sets is also performed with the discussion of context reduction. Infrastructure condition is another important indicator of systems performance. The challenges in predicting facility condition are the transition probability estimates and model sensitivity analysis. Methods are proposed to estimate transition probabilities by investigating long term behavior of the model and the relationship between transition rates and probabilities. To integrate heterogeneities, model sensitivity is performed for the application of non-homogeneous Markov chains model. Scenarios are investigated by assuming transition probabilities follow a Weibull regressed function and fall within an interval estimate. For each scenario, multiple cases are simulated using a Monte Carlo simulation. Results show that variations on the outputs are sensitive to the probability regression. While for the interval estimate, outputs have similar variations to the inputs. Life cycle cost analysis and life cycle assessment of a sewer system are performed comparing three different pipe types, which are reinforced concrete pipe (RCP) and non-reinforced concrete pipe (NRCP), and vitrified clay pipe (VCP). Life cycle cost analysis is performed for material extraction, construction and rehabilitation phases. In the rehabilitation phase, Markov chains model is applied in the support of rehabilitation strategy. In the life cycle assessment, the Economic Input-Output Life Cycle Assessment (EIO-LCA) tools are used in estimating environmental emissions for all three phases. Emissions are then compared quantitatively among alternatives to support decision making.

BYOD: Moving toward a More Mobile and Productive Workforce

In recent years there has been a personal and organizational trend toward mobility and the use of mobile technologies such as laptops, mobile phones and tablets. With this proliferation of devices, the desire to combine as many functions as possible into one device has also arisen. This concept is commonly called convergence. Generally, device convergence has been segmented between devices for work and devices for home use. Recently, however, the concept of Bring Your Own Device (BYOD) has emerged as organizations attempt to bridge the work/home divide in hopes of increasing employee productivity and reducing corporate technology costs. This paper examines BYOD projects at IBM, Cisco, Citrix, and Intel and then integrates this analysis with current literature to develop and present a BYOD Implementation Success model.

Studies toward the construction of substituted piperidine-2-ones and pyridine-2-ones from Baylis-Hillman adducts: Discovery of a facile synthesis of 5-methyl-4-oxo-6-aryl-3-aza-bicyclo[3.1.0]hexane-1-carboxylates

Studies toward the construction of functionalised piperidone derivatives from derivatives of Baylis-Hillman adducts are described. Interestingly the 6-oxo-4-aryl-piperidine-3-carboxylates generated during the study serve as precursor for the facile synthesis of 4-oxo-6-aryl-3-aza-bicyclo[3.1.0]hexane-1-carboxylates

An alternate approach to quinoline architecture via Baylis-Hillman chemistry: SnCl2-mediated tandem reaction toward synthesis of 4-(substituted vinyl)-quinolines

An alternate approach to densely substituted quinolines from the products of SN2 nucleophilic substitution reaction between the acetyl derivatives of the Baylis-Hillman adducts obtained from 2-nitrobenzaldehydes and the carbonyl group containing carbon nucleophiles is described. Treatment of these compounds with SnCl2, trigger a tandem reaction wherein reduction of the nitro group is followed by a remarkably regioselective intramolecular cyclization and subsequent dehydrogenation to afford 4-(substituted vinyl)-quinolines.

Influences of Discriminatory Incidents on Immigrants’ Attitudes Toward German Society

This article presents findings from a quantitative survey (N = 301) to evaluate the impact discriminatory incidents have on the attitudes of immigrants towards the majority society in Germany.The findings show that there is a strong relationship between experiences of discrimination and a hostile or alienated attitude towards German society. As an attempt to explain this generalization from single incidents to the macro relation between immigrants and autochthonous Germans in general a theory of framing, taken from developments in the field of rational choice theory, is applied. The reasoning is that a generalizing and rather hostile framing in terms of the attitude towards Germans can minimize psychic, emotional and social costs resulting from acts of discrimination.

Determinants of Advertising Effectiveness: The Development of an International Advertising Elasticity Database and a Meta-Analysis

Increasing demand for marketing accountability requires an efficient allocation of marketing expenditures. Managers who know the elasticity of their marketing instruments can allocate their budgets optimally. Meta-analyses offer a basis for deriving benchmark elasticities for advertising. Although they provide a variety of valuable insights, a major shortcoming of prior meta-analyses is that they report only generalized results as the disaggregated raw data are not made available. This problem is highly relevant because coding of empirical studies, at least to a certain extent, involves subjective judgment. For this reason, meta-studies would be more valuable if researchers and practitioners had access to disaggregated data allowing them to conduct further analyses of individual, e.g., product-level-specific, interests. We are the first to address this gap by providing (1) an advertising elasticity database (AED) and (2) empirical generalizations about advertising elasticities and their determinants. Our findings indicate that the average current-period advertising elasticity is 0.09, which is substantially smaller than the value 0f 0.12 that was recently reported by Sethuraman, Tellis, and Briesch (2011). Furthermore, our meta-analysis reveals a wide range of significant determinants of advertising elasticity. For example, we find that advertising elasticities are higher (i) for hedonic and experience goods than for other goods; (ii) for new than for established goods; (iii) when advertising is measured in gross rating points (GRP) instead of absolute terms; and (iv) when the lagged dependent or lagged advertising variable is omitted.