Trust in Biotechnology Risk Managers: Insights from the United Kingdom, 1996-2002

The mid to late 1990s saw a series of negative media events in the United Kingdom (UK) related to biotechnology. According to the trust asymmetry hypothesis, such events ought to cause public trust in risk managers of biotechnology to fall quickly but rise slowly. We present evidence from the Eurobarometer surveys that from 1996 to 1999 public trust in the UK declined, but it increased sharply between 1999 and 2002. We seek to explain this apparent contradiction to the asymmetry hypothesis. We use canonical discriminant analysis of public trust to show that whether people trust or distrust risk managers of biotechnology depends significantly on the amount of knowledge people have about science. We speculate that knowledge of science moderates the trust asymmetry effect.Research and Development/Tech Change/Emerging Technologies,

Trust in Biotechnology Risk Managers: Insights from the United Kingdom, 1996-2002

During the late 1990s a series of negative events occurred in the United Kingdom (UK) related to biotechnology. These events signaled potential risks associated with biotech foods and crops and were highly reported. According to the trust asymmetry hypothesis, such events ought to cause public trust in risk managers of biotechnology to decline rapidly and rebound more slowly. We find, based on data taken from the Eurobarometer surveys conducted in 1996, 1999 and 2002, that public trust in risk managers did decline from 1996 to 1999. However, the level of trust rebounded sharply between 1999 and 2002. Canonical discriminant analysis of public trust is used to reveal possible explanatory factors in this response. We find that whether people trust or distrust risk managers depends significantly on the amount of objective knowledge they have. We argue that knowledge of science might moderate the trust asymmetry effect.Research and Development/Tech Change/Emerging Technologies, Risk and Uncertainty,

Tooth Eruption: The Regulation of a Localized, Bilaterally Symmetrical Metabolic Event in Alveolar Bone

Tooth eruption is a complicated process by which developing teeth are moved within the jaws to their functional position. The usual model chosen to study this process, the erupted rodent incisor, differs both structurally and functionally from the human dentition and conclusions drawn from these studies are not directly applicable to tooth eruption in human beings. We have studied the eruption of developing permanent premolars in dogs and present evidence by scanning electron microscopy for regional differences in metabolic activities on bone surfaces of the crypt during eruption. We review evidence that these polarizations of alveolar bone metabolism are cell-mediated, dependent upon the dental follicle, independent of root formation or the tooth itself and that tooth eruption depends on coordination of these activities by the dental follicle. We conclude that tooth eruption is a localized, bilaterally symmetrical event in alveolar bone and that this is an excellent model system in which to study the regulation of alveolar bone metabolism

Evaluation of ERIM optically processed SEASAT SAR data

The results of three studies on the radiometric and geometric properties of optically processed SEASAT SAR imagery are summarized. The accuracy with which the image scale can be predicted based upon a knowledge of the SAR platform and recording system parameters and the processor characteristics was evaluated. The considerations involved in making radiometric measurements from image films, the use of point targets for calibrating the effects of Doppler spectrum shifts on the radiometric calibration of the SAR image data over extended swath lengths was evaluate

Image-based Quantification of 3D Morphology for Bifurcations in the Left Coronary Artery: Application to Stent Design

Background Improved strategies for stent‐based treatment of coronary artery disease at bifurcations require a greater understanding of artery morphology. Objective We developed a workflow to quantify morphology in the left main coronary (LMCA), left anterior descending (LAD), and left circumflex (LCX) artery bifurcations. Methods Computational models of each bifurcation were created for 55 patients using computed tomography images in 3D segmentation software. Metrics including cross‐sectional area, length, eccentricity, taper, curvature, planarity, branching law parameters, and bifurcation angles were assessed using open‐sources software and custom applications. Geometric characterization was performed by comparison of means, correlation, and linear discriminant analysis (LDA). Results Differences between metrics suggest dedicated or multistent approaches should be tailored for each bifurcation. For example, the side branch of the LCX (i.e., obtuse marginal; OM) was longer than that of the LMCA (i.e., LCXprox) and LAD (i.e., first diagonal; D1). Bifurcation metrics for some locations (e.g., LMCA Finet ratio) provide results and confidence intervals agreeing with prior findings, while revised metric values are presented for others (e.g., LAD and LCX). LDA revealed several metrics that differentiate between artery locations (e.g., LMCA vs. D1, LMCA vs. OM, LADprox vs. D1, and LCXprox vs. D1). Conclusions These results provide a foundation for elucidating common parameters from healthy coronary arteries and could be leveraged in the future for treating diseased arteries. Collectively the current results may ultimately be used for design iterations that improve outcomes following implantation of future dedicated bifurcation stents