Subject Unrest

Roll-to-roll manufacturing of micro components based on advanced printing, structuring and lamination of ceramic tapes is rapidly progressing. This large-scale and cost-effective manufacturing process of ceramic micro devices is however prone to hide defects within the visually opaque tape stacks. To achieve a sustainable manufacturing with zero defects in the future, there is an urgent need for reliable inspection systems. The systems to be developed have to perform high-resolution in-process quality control at high speed. Optical coherence tomography (OCT) is a promising technology for detailed in-depth inspection and metrology. Combined with infrared screening of larger areas it can solve the inspection demands in the roll-to-roll ceramic tape processes. In this thesis state-of-art commercial and laboratory OCT systems, operating at the central wavelength of 1.3 µm and 1.7 µm respectively, are evaluated for detecting microchannels, metal prints, defects and delaminations embedded in alumina and zirconia ceramic layers at hundreds of micrometers beneath surfaces. The effect of surface roughness induced scattering and scattering by pores on the probing radiation, is analyzed by experimentally captured and theoretically simulated OCT images of the ceramic samples, while varying surface roughnesses and operating wavelengths. By extending the Monte Carlo simulations of the OCT response to the mid-infrared the optimal operating wavelength is found to be 4 µm for alumina and 2 µm for zirconia. At these wavelengths we predict a sufficient probing depth of about 1 mm and we demonstrate and discuss the effect of rough surfaces on the detectability of embedded boundaries. For high-precision measurement a new and automated 3D image processing algorithm for analysis of volumetric OCT data is developed. We show its capability by measuring the geometric dimensions of embedded structures in ceramic layers, extracting features with irregular shapes and detecting geometric deformations. The method demonstrates its suitability for industrial applications by rapid inspection of manufactured samples with high accuracy and robustness. The new inspection methods we demonstrate are finally analyzed in the context of measurement uncertainty, both in the axial and lateral cases, and reveal that scattering in the sample indeed affects the lateral measurement uncertainty. Two types of image artefacts are found to be present in OCT images due to multiple reflections between neighboring boundaries and inhomogeneity of refractive index. A wavefront aberration is found in the OCT system with a scanning scheme of two galvo mirrors, and it can be corrected using our image processing algorithm.QC 20140428Multilayer (FP7-NMP4-2007-214122

The Law and Economics of Critical Race Theory

Legal academics often perceive law and economics (L&E) and critical race theory (CRT) as oppositional discourses. Using a recently published collection of essays on CRT as a starting point, we argue that the understanding of workplace discrimination can be furthered through a collaboration between L&E and CRT. L&E\u27s strength is in its attention to incentives and norms, specifically its concern with explicating how norms incentivize behavior. Its limitation is that it treats race as exogenous and static. Thus, the literature fails to consider how institutional norms affect, and are affected by, race. To put the point another way, L&E does not discuss how norms incentivize racial behavior, obscuring that how people present their race (or themselves as racial subjects) is a function of norms. The strength of CRT is its conception of race as a social construction. Under this view, race is neither biologically determined nor fixed. Instead, race is ever evolving as a function of social, political, legal, and economic pressures. A limitation of CRT is that much of its analysis of race as a social construction is macro-oriented. Thus, CRT has paid insufficient attention to the social construction of race within specific institutional settings, like the workplace. Further, CRT has virtually ignored the agency people of color exercise to shape how their racial identity is interpreted - that is say, constructed. Explicitly incorporating L&E\u27s focus on incentives and norms into CRT provides CRT with a means by which to articulate the notion of race as a social construction at the level of individual choice. The basic idea is that people of color construct (present racial impressions of) themselves in response to norms. Norms, in this sense, are racially productive, and individuals are part of the production apparatus. Having set out the basic elements of the collaborative enterprise, we deploy this collaboration to respond to a specific and important question about the workplace: How are modern employers and employees likely to manage workplace racial diversity? We raise this question because we assume that, for institutional legitimacy reasons, most workplaces will strive to achieve at least a modicum of racial diversity. The question, again, is: How will this diversity be managed? Part of the answer has to do with assimilation, an ideological technology for constructing race and a central theme in CRT; and part of the answer has to do with efficiency, an ideological technology for creating incentives and a central theme in L&E. Both ideas - assimilation and efficiency - combine to tell a story about workplace discrimination that derives from what we call the homogeneity incentive. In sum, in order to increase efficiency, employers have incentives to screen prospective employees for homogeneity, and, in order to counter racial stereotypes, nonwhite employees have incentives to demonstrate a willingness and capacity to assimilate. In this sense, the modern workplace discrimination problem may be more about employers requiring people of color to demonstrate racial palatability than about employers totally excluding people of color for the workplace. We discuss whether and to what extent anti-discrimination law can ameliorate this problem

Platelet-Rich Plasma Injection With Percutaneous Needling for Recalcitrant Lateral Epicondylitis: Comparison of Tenotomy and Fenestration Techniques.

Background: Recalcitrant lateral epicondylitis (LE) is a common debilitating condition, with numerous treatment options of varying success. An injection of platelet-rich plasma (PRP) has been shown to improve LE, although it is unclear whether the method of needling used in conjunction with a PRP injection is of clinical importance. Purpose: To determine whether percutaneous needle tenotomy is superior to percutaneous needle fenestration when each is combined with a PRP injection for the treatment of recalcitrant LE. Study Design: Cohort study; Level of evidence, 3. Methods: A total of 93 patients with recalcitrant LE were treated with a PRP injection and percutaneous needle fenestration (n = 45) or percutaneous needle tenotomy (n = 48) over a 5-year study interval. Preoperative patient data, including visual analog scale for pain (VAS-P), Quick Disabilities of the Arm, Shoulder and Hand (QuickDASH), and Patient-Rated Tennis Elbow Evaluation (PRTEE) scores and grip strength, were obtained from a chart review and compared with postoperative values obtained prospectively. Secondary outcomes included the incidence of complications, need for additional interventions, return to work, and patient satisfaction. Results: At a mean follow-up of 40 months, significant improvements in VAS-P (mean, -6.1; 95% CI, -6.8 to -5.5; P \u3c .0001), QuickDASH (mean, -46; 95% CI, -52 to -40; P \u3c .0001), and PRTEE (mean, -57; 95% CI, -64 to -50; P \u3c .0001) scores and grip strength (mean, +6.1 kg; 95% CI, 4.9 to 7.3; P \u3c .0001) were observed across the entire study cohort, with no significant differences noted between the fenestration and tenotomy groups. Nine of 45 patients (22%) underwent additional procedures to treat recurrent symptoms in the fenestration group compared with 5 of 48 patients (10%) in the tenotomy group (P = .05). No complications occurred in any patients, and no patients expressed dissatisfaction with their treatment course. Conclusion: A PRP injection with concomitant percutaneous needling is an effective treatment for recalcitrant LE, with sustained improvements in pain, strength, and function demonstrated at a mean follow-up of longer than 3 years. Although the method of concomitant needling does not appear to have a significant effect on treatment outcomes, more aggressive needle tenotomy is less likely to require conversion to open tenotomy than needle fenestration in the short term to midterm

Demonstration of the Zero-Crossing Phasemeter with a LISA Test-bed Interferometer

The Laser Interferometer Space Antenna (LISA) is being designed to detect and study in detail gravitational waves from sources throughout the Universe such as massive black hole binaries. The conceptual formulation of the LISA space-borne gravitational wave detector is now well developed. The interferometric measurements between the sciencecraft remain one of the most important technological and scientific design areas for the mission. Our work has concentrated on developing the interferometric technologies to create a LISA-like optical signal and to measure the phase of that signal using commercially available instruments. One of the most important goals of this research is to demonstrate the LISA phase timing and phase reconstruction for a LISA-like fringe signal, in the case of a high fringe rate and a low signal level. We present current results of a test-bed interferometer designed to produce an optical LISA-like fringe signal previously discussed in the literature.Comment: find minor corrections in the CQG versio

Antibodies against Epstein-Barr nuclear antigen (EBNA) in multiple sclerosis CSF, and two pentapeptide sequence identities between EBNA and myelin basic protein.

The Epstein-Barr virus (EBV) causes infectious mononucleosis and is linked to several disparate malignancies. Prior studies on patients with multiple sclerosis (MS) showed that 100% are EBV-seropositive and that their blood contains higher antibody titers than those of controls to both transformation and lytic cycle antigens. We performed three different assays for antibodies in CSF to three major EBV antigens from patients with MS and controls. Among 93 patients with MS, 79 (85%) had CSF that reacted with a 70 kD protein, shown to be the nuclear antigen, EBNA-1, whereas only 11 (13%) of 81 EBV-seropositive controls reacted, p less than 0.001. The CSF of all 14 MS patients, unreactive on immunoblots, contained oligoclonal bands on agarose electrophoresis. Together, the two techniques exhibit 100% sensitivity in the confirmatory diagnosis of MS. We also performed amino acid searches of the Protein Identification Resource sequence database for protein homologies to EBNA. Two pentapeptide identities were found between EBNA-1 and myelin basic protein: QKRPS and PRHRD. None of more than 32,000 other proteins in the database contained both pentapeptides. In healthy EBV-seropositive persons, the EBV-specific, MHC-restricted T lymphocytes keep the EBV-containing B lymphocytes locked in the transformed state. However, in the host genetically susceptible to MS, the same population of lymphocytes might recognize and interact with either of the two identified pentapeptides, inadvertently damaging MBP

Per Mile Emissions Taxes And Lump Sum Emissions Taxes: A Comparative Study Using A Mathematical Approach To Demand Estimation

The primary purpose of this study was to utilize the mathematical approach to demand estimation developed in Culp (2004) to compare two common emissions based taxes. The model assumes Cournot-Nash behavior and divides the automobile market into five homogenous segments. A global optimization program is utilized to mathematically determine the range of values the coefficients of demand must take in each segment to satisfy market equilibrium. Simulations were performed to examine the comparative impact on social welfare of both the per mile emission tax (PMET) and the lump sum emission tax (LSET) in the automotive and travel markets. In the simulations, a global optimization program allows market conditions to change while holding constant the level of pollution reduction, satisfying the other constraints of the model, and satisfying each firm’s first order profit-maximizing conditions. The simulation found that in five of the thirty-two quarters examined, and regardless of market conditions, that the LSET produced more gains from trade. In simulations of the remaining quarters, the outcomes varied depending upon the cross price elasticity of vehicle demand and upon the sensitivity of consumers to vehicle operating cost. The simulations also show that an approximately 20 percent reduction in emissions from new vehicles is achieved by the LSET with a median tax rate of $155.74 per gram of average CO emissions per mile. Consequently, a vehicle that emits an average of two grams of CO per mile would pay a one-time fee of$311.48. The median tax rate required by the PMET is $0.00666 per gram per mile. Accordingly, a vehicle that emits two grams of CO per mile on average would pay$0.0103 per mile or $1332.46 for every 100,000 miles traveled. The difference between the two tax rates, required to achieve the same pollution reduction goal, is likely the result of consumer’s insensitivity to the rise in vehicle operating costs caused by the PMET. This result is consistent with the view that consumers highly discount future payments

A Mathematical Approach To Demand Estimation In Multi-Segment Oligopoly Markets - With An Application To The Automobile Market

The purpose of this paper is to develop a purely mathematical approach to determining consumer demand. The model developed allows the researcher to derive demand in an oligopoly market from observed firm output and market prices using only assumptions about each firm, modest restrictions on consumer behavior, and limitations on market structure. The advantage of this revealed demand approach is that it does not require the specification of the consumer’s utility function or any firm’s production function. In addition, this mathematical approach allows for the estimation of own price and cross price elasticities of demand without statistical regression.  The mathematical model developed is applied to the automobile industry assuming a market characterized by Cournot-Nash behavior and divided into five homogenous vehicle segments. A global optimization program is used to mathematically determine the range of values the coefficients of demand must take in each segment to satisfy market equilibrium. These coefficients can be used to estimate own and cross price elasticities of demand and construct demand equations.  The elasticity estimates generated by the mathematical model of the automobile industry are compared to other estimates of elasticity found by statistical estimation. It is shown that the mathematical model generates results that are consistent with the statistical methods of the automobile market used by other researchers.&nbsp

Prediction of photoperiodic regulators from quantitative gene circuit models

Photoperiod sensors allow physiological adaptation to the changing seasons. The external coincidence hypothesis postulates that a light-responsive regulator is modulated by a circadian rhythm. Sufficient data are available to test this quantitatively in plants, though not yet in animals. In Arabidopsis, the clock-regulated genes CONSTANS (CO) and FLAVIN, KELCH, F-BOX (FKF1) and their lightsensitive proteins are thought to form an external coincidence sensor. We use 40 timeseries of molecular data to model the integration of light and timing information by CO, its target gene FLOWERING LOCUS T (FT), and the circadian clock. Among other predictions, the models show that FKF1 activates FT. We demonstrate experimentally that this effect is independent of the known activation of CO by FKF1, thus we locate a major, novel controller of photoperiodism. External coincidence is part of a complex photoperiod sensor: modelling makes this complexity explicit and may thus contribute to crop improvement

Predicting whole genome protein interaction networks from primary sequence data in model and non-model organisms using ENTS

Background The large-scale identification of physical protein-protein interactions (PPIs) is an important step toward understanding how biological networks evolve and generate emergent phenotypes. However, experimental identification of PPIs is a laborious and error-prone process, and current methods of PPI prediction tend to be highly conservative or require large amounts of functional data that may not be available for newly-sequenced organisms. Results In this study we demonstrate a random-forest based technique, ENTS, for the computational prediction of protein-protein interactions based only on primary sequence data. Our approach is able to efficiently predict interactions on a whole-genome scale for any eukaryotic organism, using pairwise combinations of conserved domains and predicted subcellular localization of proteins as input features. We present the first predicted interactome for the forest tree Populus trichocarpa in addition to the predicted interactomes for Saccharomyces cerevisiae, Homo sapiens, Mus musculus, and Arabidopsis thaliana. Comparing our approach to other PPI predictors, we find that ENTS performs comparably to or better than a number of existing approaches, including several that utilize a variety of functional information for their predictions. We also find that the predicted interactions are biologically meaningful, as indicated by similarity in functional annotations and enrichment of co-expressed genes in public microarray datasets. Furthermore, we demonstrate some of the biological insights that can be gained from these predicted interaction networks. We show that the predicted interactions yield informative groupings of P. trichocarpa metabolic pathways, literature-supported associations among human disease states, and theory-supported insight into the evolutionary dynamics of duplicated genes in paleopolyploid plants. Conclusion We conclude that the ENTS classifier will be a valuable tool for the de novoannotation of genome sequences, providing initial clues about regulatory and metabolic network topology, and revealing relationships that are not immediately obvious from traditional homology-based annotations