Consumer behavior towards [sic] fuel efficient vehicles. Volume I: executive summary. Final report.

National Highway Traffic Safety Administration, Technology Assessment Division, Washington, D.C.

Consumer behavior towards [sic] fuel efficient vehicles. Volume II. Final report.

National Highway Traffic Safety Administration, Technology Assessment Division, Washington, D.C.

Consumer orientations toward fuel efficient vehicles. Executive summary. Final report.

National Highway Traffic Safety Administration, Office of Passenger Vehicle Research, Washington, D.C.

Consumer orientations toward fuel efficient vehicles. Final report.

National Highway Traffic Safety Administration, Office of Passenger Vehicle Research, Washington, D.C.

Consumer behavior towards fuel efficient vehicles. Volume IV: operating instructions and programs documentation for the CS Vehicle Choice Simulation Model. Final report.

National Highway Traffic Safety Administration, Technology Assessment Division, Washington, D.C.

Market analysis and consumer impacts source document. Part III: consumer behavior and attitudes toward fuel efficient vehicles. Final report.

National Highway Traffic Safety Administration, Office of Research and Development, Washington, D.C.

Consumer behavior towards fuel efficient vehicles. Executive summary. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Consumer behavior towards fuel efficient vehicles. Final report.

National Highway Traffic Safety Administration, Washington, D.C.

Consumer behavior towards fuel efficient vehicles. Volume I: executive summary. Final report.

National Highway Traffic Safety Administration, Technology Assessment Division, Washington, D.C.

Consumer behavior towards fuel efficient vehicles. Volume II: consumer sentiments towards fuel efficient vehicles. Final report.

National Highway Traffic Safety Administration, Technology Assessment Division, Washington, D.C.

Consumer behavior towards fuel efficient vehicles. Volume III: forecasts of the composition of household motor vehicle holdings. Final report.

National Highway Traffic Safety Administration, Technology Assessment Division, Washington, D.C.

Liposomal cationic charge and antigen adsorption are important properties for the efficient deposition of antigen at the injection site and ability of the vaccine to induce a CMI response

With respect to liposomes as delivery vehicles and adjuvants for vaccine antigens, the role of vesicle surface charge remains disputed. In the present study we investigate the influence of liposome surface charge and antigen-liposome interaction on the antigen depot effect at the site of injection (SOI). The presence of liposome and antigen in tissue at the SOI as well as the draining lymphatic tissue was quantified to analyse the lymphatic draining of the vaccine components. Furthermore investigations detailing cytokine production and T-cell antigen specificity were undertaken to investigate the relationship between depot effect and the ability of the vaccine to induce an immune response. Our results suggest that cationic charge is an important factor for the retention of the liposomal component at the SOI, and a moderate to high (>50%) level of antigen adsorption to the cationic vesicle surface was required for efficient antigen retention in the same tissue. Furthermore, neutral liposomes expressing poor levels of antigen retention were limited in their ability to mediate long term (14 days) antigen presentation to circulating antigen specific T-cells and to induce the Th1 and Th17 arms of the immune system, as compared to antigen adsorbing cationic liposomes. The neutral liposomes did however induce the production of IL-5 at levels comparable to those induced by cationic liposomes, indicating that neutral liposomes can induce a weak Th2 response.

Why do firms invest in consumer advertising with limited sales response? A shareholder perspective

Marketing managers increasingly recognize the need to measure and communicate the impact of their actions on shareholder returns. This study focuses on the shareholder value effects of pharmaceutical direct-to-consumer advertising (DTCA) and direct-to-physician (DTP) marketing efforts. Although DTCA has moderate effects on brand sales and market share, companies invest vast amounts of money in it. Relying on Kalman filtering, the authors develop a methodology to assess the effects from DTCA and DTP on three components of shareholder value: stock return, systematic risk, and idiosyncratic risk. Investors value DTCA positively because it leads to higher stock returns and lower systematic risk. Furthermore, DTCA increases idiosyncratic risk, which does not affect investors who maintain well-diversified portfolios. In contrast, DTP marketing has modest positive effects on stock returns and idiosyncratic risk. The outcomes indicate that evaluations of marketing expenditures should include a consideration of the effects of marketing on multiple stakeholders, not just the sales effects on consumers.

Consumer (dis)satisfaction response to disconfirmation: An examination of the form and the underlying process

The purpose of this dissertation was to examine the form of the consumer satisfaction/dissatisfaction (CS/D) response to disconfirmation. In addition, the cognitive and affective processes underlying the response were also explored. ^ Respondents were provided with information from a prior market research study about a new brand of printer that was being tested. This market research information helped set prior expectations regarding the print quality. Subjects were randomly assigned to an experimental condition that manipulated prior expectations to be either positive or negative. Respondents were then provided with printouts that had performance quality that was either worse (negative disconfirmation) or better (positive disconfirmation) than the prior expectations. In other words, for each level of expectation, respondents were assigned to either positive or negative disconfirmation condition. Subjects were also randomly assigned to a condition of either a high or low level of outcome involvement. ^ Analyses of variance indicated that positive disconfirmation led to a more intense CS/D response than negative disconfirmation, even though there was no significant difference in the intensity for positive and negative disconfirmation. Intensity of CS/D was measured by the distance of the CS/D rating from the midpoint of the scale. The study also found that although outcome involvement did not influence the polarity of the CS/D response, the more direct measures of processing involvement such as the subjects' concentration, attention and care in evaluating the printout did have a significant positive effect on CS/D intensity. ^ Analyses of covariance also indicated that the relationship between the intensity of the CS/D response and the intensity of the disconfirmation was mediated by the intensity of affective responses. Positive disconfirmation led to more intense affective responses than negative disconfirmation. ^

Efficient numerical methods for the random-field Ising model: Finite-size scaling, reweighting extrapolation, and computation of response functions

It was recently shown [Phys. Rev. Lett. 110, 227201 (2013)] that the critical behavior of the random-field Ising model in three dimensions is ruled by a single universality class. This conclusion was reached only after a proper taming of the large scaling corrections of the model by applying a combined approach of various techniques, coming from the zero-and positive-temperature toolboxes of statistical physics. In the present contribution we provide a detailed description of this combined scheme, explaining in detail the zero-temperature numerical scheme and developing the generalized fluctuation-dissipation formula that allowed us to compute connected and disconnected correlation functions of the model. We discuss the error evolution of our method and we illustrate the infinite limit-size extrapolation of several observables within phenomenological renormalization. We present an extension of the quotients method that allows us to obtain estimates of the critical exponent a of the specific heat of the model via the scaling of the bond energy and we discuss the self-averaging properties of the system and the algorithmic aspects of the maximum-flow algorithm used.