Penalty Enhancement for Hate Crimes: An Economic Analysis

The issue of bias-motivated crimes has attracted consderable attention in recent years. In this paper, we develop an economic framework to analyze penalty enhancements for bias-motivated crimes. We extend the standard model by introducing two different groups of potential victims of crime, and assume that a potential offender's benefits from a crime depend on the group to which the victim belongs. We begin with the assumption that the harm to an individual victim from a bias-motivated crime is identical to that from an equivalent non-hate crime. Nonetheless, we derive the result that a pattern of crimes disproportionately targeting an identifiable group leads to greater social harm. This conclusion follows both from a model where disparities in groups' victimization probabilities lead to social losses due to fairness concerns, as well as a model where potential victims have the opportunity to undertake socially costly victimization avoidance activities. In particular, penalty enhancements can reduce the incentives for avoidance activity, and thereby protect the networks of profitable interactions that link members of different groups. We also argue that those groups that are covered by hate crime statutes tend to be those whose characteristics make it especially likely that penalty enhancement is socially optimal. Finally, we consider a number of other issues related to hate crimes, including teh choice of sanctions from behind a Rawlsian 'veil of ignorance' concerning group identity.

Outcome-based adaptive randomization for binary data in clinical trials---Compare and contrast

Monte Carlo simulation has been conducted to investigate parameter estimation and hypothesis testing in some well known adaptive randomization procedures. The four urn models studied are Randomized Play-the-Winner (RPW), Randomized Pôlya Urn (RPU), Birth and Death Urn with Immigration (BDUI), and Drop-the-Loses Urn (DL). Two sequential estimation methods, the sequential maximum likelihood estimation (SMLE) and the doubly adaptive biased coin design (DABC), are simulated at three optimal allocation targets that minimize the expected number of failures under the assumption of constant variance of simple difference (RSIHR), relative risk (ORR), and odds ratio (OOR) respectively. Log likelihood ratio test and three Wald-type tests (simple difference, log of relative risk, log of odds ratio) are compared in different adaptive procedures. ^ Simulation results indicates that although RPW is slightly better in assigning more patients to the superior treatment, the DL method is considerably less variable and the test statistics have better normality. When compared with SMLE, DABC has slightly higher overall response rate with lower variance, but has larger bias and variance in parameter estimation. Additionally, the test statistics in SMLE have better normality and lower type I error rate, and the power of hypothesis testing is more comparable with the equal randomization. Usually, RSIHR has the highest power among the 3 optimal allocation ratios. However, the ORR allocation has better power and lower type I error rate when the log of relative risk is the test statistics. The number of expected failures in ORR is smaller than RSIHR. It is also shown that the simple difference of response rates has the worst normality among all 4 test statistics. The power of hypothesis test is always inflated when simple difference is used. On the other hand, the normality of the log likelihood ratio test statistics is robust against the change of adaptive randomization procedures. ^

America's state health departments and the enhancement of health communication through podcasting

Perhaps it was foreshadowing the influence emerging technologies would have on health when the term "podcast" beat out "bird flu" for the 2005 word of the year, an honor given by The New Oxford American Dictionary. From medical school courses to medical journal summaries, podcasting has found a niche in the health field and with studies showing a high proportion of people using the Internet to seek health information, it is imperative that the online information be accurate and easily accessible. With the responsibility of health departments to reach out to their respective communities with effective health communication strategies, this study assessed the proportion of 50 states' and the District of Columbia's health departments utilizing podcasting as a tool for health communication. Additionally, to assess any trends, the prevalence of podcasting was compared to select state demographic characteristics (age, sex, and median income), the organization of the health department (freestanding or super-agency), and the respective United Health Foundation 2007 health ranking. ^ Prevalence data were collected from each state health department's website to find evidence of podcasting to any extent. If a podcast was present, characteristics including creator, release frequency, and transcript were further assessed. The study found that 51% (26/51) of all health departments were utilizing podcasts in some capacity and almost 20% (5/26) of these had created their own podcasts. The most common use of podcasting was to link to outside podcast resources, most notably, the Centers for Disease Control's podcast series. No significant associations were found between the state-specific variables and the podcasting outcomes; however, higher percentages of young adults in some states suggest potential podcasting opportunities for targeting these known podcast users with age-specific health messages. Another recommendation is a future assessment of local health departments' use of podcasting as their smaller, more defined target audiences may be a more efficient use of podcasting as a health communication tool. Additionally, there is a need for evaluations of podcasts' overall effectiveness as a health communication tool to (1) reach a target audience; and (2) convey a specific health message. In conclusion, the findings from this project illuminate the extent of podcast influence in states' and the District of Columbia's health departments as a health communication tool; however evaluations of effectiveness are imperative for future studies.^

Performance enhancement of large industrial wastewater stabilization ponds

A 6-month-long, bench-scale simulation of an industrial wastewater stabilization pond (WSP) system was conducted to evaluate responses to several potential performance-enhancing treatments. The industrial WSP system consists of an anaerobic primary (1ry) WSP treating high-strength wastewater, followed by facultative secondary (2ry) and aerobic tertiary (3ry) WSPs in series treating lower-strength wastewater. The 1ry WSP was simulated with four glass aquaria which were fed with wastewater from the actual WSP system. The treatments examined were phosphorus supplementation (PHOS), phosphorus supplementation with pH control (PHOS+ALK), and phosphorus supplementation with pH control and effluent recycle (PHOS+ALK+RCY). The supplementary phosphorus treatment alone did not yield any significant change versus the CONTROL 1ry model pond. The average carbon to phosphorus ratio of the feed wastewater received from the WSP system was already 100:0.019 (i.e., 2,100 mg/l: 0.4 mg/l). The pH-control treatments (PHOS+ALK and PHOS+ALK+RCY) produced significant results, with 9 to 12 percent more total organic carbon (TOC) removal, 43 percent more volatile organic acid (VOA) generation, 78 percent more 2-ethoxyethanol and 14 percent more bis(2-chloroethyl)ether removal, and from 100- to 10,000-fold increases in bacterial enzyme activity and heterotrophic bacterial numbers. Recycling a 10-percent portion of the effluent yielded less variability for certain physicochemical parameters in the PHOS+ALK+RCY 1ry model pond, but overall there was no statistically-detectable improvement in performance versus no recycle. The 2ry and 3ry WSPs were also simulated in the laboratory to monitor the effect and fate of increased phosphorus loadings, as might occur if supplemental phosphorus were added to the 1ry WSP. Noticeable increases in algal growth were observed at feed phosphorus concentrations of 0.5 mg/l; however, there were no significant changes in the monitored physicochemical parameters. The effluent phosphorus concentrations from both the 2ry and 3ry model ponds did increase notably when feed phosphorus concentrations were increased from 0.5 to 1.0 mg/l. ^

Improved Techniques for Acquisition and Analysis of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Detecting Vascular Permeability in the Central Nervous System

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a noninvasive technique for quantitative assessment of the integrity of blood-brain barrier and blood-spinal cord barrier (BSCB) in the presence of central nervous system pathologies. However, the results of DCE-MRI show substantial variability. The high variability can be caused by a number of factors including inaccurate T1 estimation, insufficient temporal resolution and poor contrast-to-noise ratio. My thesis work is to develop improved methods to reduce the variability of DCE-MRI results. To obtain fast and accurate T1 map, the Look-Locker acquisition technique was implemented with a novel and truly centric k-space segmentation scheme. In addition, an original multi-step curve fitting procedure was developed to increase the accuracy of T1 estimation. A view sharing acquisition method was implemented to increase temporal resolution, and a novel normalization method was introduced to reduce image artifacts. Finally, a new clustering algorithm was developed to reduce apparent noise in the DCE-MRI data. The performance of these proposed methods was verified by simulations and phantom studies. As part of this work, the proposed techniques were applied to an in vivo DCE-MRI study of experimental spinal cord injury (SCI). These methods have shown robust results and allow quantitative assessment of regions with very low vascular permeability. In conclusion, applications of the improved DCE-MRI acquisition and analysis methods developed in this thesis work can improve the accuracy of the DCE-MRI results.

The cGMP -PKG pathway is critical for inducing long-term sensitization of identified nociceptive sensory neurons

In various species, peripheral injury produces long-lasting sensitization of central and peripheral neurons representing the affected area. In Aplysia, memory-like traces (lasting days or weeks) of noxious peripheral stimulation include enhancement of central synaptic transmission and enhanced excitability of the central soma and peripheral branches of nociceptive sensory neurons. An important role for the cAMP-PKA-CREB pathway in consolidating long-term memory and inducing transcription-dependent synaptic potentiation has also been indicated by studies in rodents and Drosophila. ^ Much less attention has been paid to the cGMP-PKG pathway for transcription-dependent plasticity. Nevertheless, the cGMP-PKG pathway has been implicated in activity-dependent neural alterations lasting hours, and may trigger some forms of persistent pain. Recent evidence indicates PKG can regulate gene expression in the brain and several properties make it an attractive candidate for inducing long-term memories. ^ This dissertation reports that brief, noxious stimulation of a behaving, semi-intact preparation from mollusc, Aplysia californica, produces transcription-dependent, long-term hyperexcitability (LTH) of nociceptive sensory neurons that requires a nitric oxide (NO)-cGMP-protein kinase G (PKG) pathway and which lasts for at least 24 hours. Intracellular injection of cGMP is sufficient to induce LTH. Similarly, body wall injury induces LTH which can be blocked with specific inhibitors of the NO-cGMP-PKG pathway such as L-NMMA, ODQ, Rp-8-cGMPS, PKI-G and KT5823 by isolated perfusion of pleural ganglion sensory cells in or directly by intracellular injection. In contrast, specific inhibitors of the cAMP-PKA pathway (Rp-8-cAMPS, PKI-A and H-89) failed to block injury-induced LTH. Interestingly, co-injection of the cAMP-responsive element (CRE) blocked the induction of both cAMP and injury-induced LTH, but not cGMP-induced LTH. Furthermore, co-injection of cAMP and cGMP with the Ca2+ buffer BAPTA in reduced Ca2+ seawater blocked cAMP-, but not cGMP-induced LTH. These findings demonstrate that the NO-cGMP-PKG pathway and at least one other pathway (perhaps mediated by Ca2+), but not the cAMP-PKA pathway, are critical for inducing LTH during transient, noxious stimulation.^

Dynamic contrast agent -enhanced magnetic resonance imaging assessment of tumor microvasculature

Dynamic contrast agent-enhanced magnetic resonance imaging (DCE MRI) data, when analyzed with the appropriate pharmacokinetic models, have been shown to provide quantitative estimates of microvascular parameters important in characterizing the angiogenic activity of malignant tissue. These parameters consist of the whole blood volume per unit volume of tissue, v b, transport constant from the plasma to the extravascular, extracellular space (EES), k1 and the transport constant from the EES to the plasma, k2. Parameters vb and k1 are expected to correlate with microvascular density (MVD) and vascular permeability, respectively, which have been suggested to serve as surrogate markers for angiogenesis. In addition to being a marker for angiogenesis, vascular permeability is also useful in estimating tumor penetration potential of chemotherapeutic agents. ^ Histological measurements of the intratumoral microvascular environment are limited by their invasiveness and susceptibility to sampling errors. Also, MVD and vascular permeability, while useful for characterizing tumors at a single time point, have shown less utility in longitudinal studies, particularly when used to monitor the efficacy of antiangiogenic and traditional chemotherapeutic agents. These limitations led to a search for a non-invasive means of characterizing the microvascular environment of an entire tumor. ^ The overall goal of this project was to determine the utility of DCE MRI for monitoring the effect of antiangiogenic agents. Further applications of a validated DCE MRI technique include in vivo measurements of tumor microvascular characteristics to aid in determining prognosis at presentation and in estimating drug penetration. DCE MRI data were generated using single- and dual-tracer pharmacokinetic models with different molecular-weight contrast agents. The resulting pharmacokinetic parameters were compared to immunohistochemical measurements. The model and contrast agent combination yielding the best correlation between the pharmacokinetic parameters and histological measures was further evaluated in a longitudinal study to evaluate the efficacy of DCE MRI in monitoring the intratumoral microvascular environment following antiangiogenic treatment. ^

Mapa bioclimático para las travesías de Mendoza (Argentina) basado en la fenología foliar

El objetivo fue generar un mapa bioclimático de la llanura de Mendoza que reflejara las diferencias climáticas expresadas por la actividad de la vegetación (fenología foliar) a escala regional. Se partió de la imagen digital del índice bioclimático de aridez P/ETP, generada en una etapa anterior a partir de una serie temporal de imágenes de índice verde (IVDN), y se recodificó en clases bioclimáticas. Se evaluó en cada clase la influencia antrópica y edáfica sobre las condiciones climáticas de aridez reflejadas por la vegetación. Se graficó la marcha fenológica anual media para cada bioclima a partir de una reconstrucción del IVDN. Las clases de clima húmedo y subhúmedo son de carácter edáfico debido al riego (oasis). Se proponen las clases: subdesértico (8,4%), árido inferior (15,3%), árido superior (24,2 %), semiárido inferior (25%) y semiárido superior (27,1%). Cada bioclima tiene una expresión vegetativa diferente en condiciones naturales. La marcha fenológica anual muestra que a mayor aridez menor es el contraste entre el IVDN mínimo y máximo, y que el momento de máxima cobertura vegetal varía de enero (semiárido) a abril (subdesértico). Esta propuesta permite extender y optimizar el conocimiento climático de las estaciones meteorológicas a través de toda la llanura mediante la expresión fenológica de la vegetación.

Communication and enhancement of Italian cultural heritage by Google

Tras liderar la investigación e indización de la información por cerca de una década, el motor de búsqueda Google se ha convertido en un sistema económico que influye nuestro mundo contemporáneo, contribuyendo grandemente a la transformación de nuestro mundo en un único globo virtual. En años recientes, Google ha comenzado a ofrecer a los usuarios globales aplicaciones o software que son usados para nuestra herencia cultural. Este software se resalta aquí en su potencial, desde un punto de vista económico, cultural y turístico. Tratamos de describir lo más importante del software de Google (como Google Maps, Google Street View, Google Earth, Google SketchUp, Google Books y Google Art Project), con el mayor y más evidente impacto en los sectores culturales y turísticos. Este ensayo muestra la digitalización y promoción de la herencia cultural italiana en Google, a través de sus programas informáticos (por ejemplo, Google Street View que ha llevado al uso de vistas tridimensionales remotas de algunos de los más importantes monumentos y sitios arqueológicos de Italia; el uso de Google SketchUp ha llevado al diseño de reconstrucción tridimensional del histórico centro de la ciudad de L'Aquila, devastada luego del terremoto de abril de 2009 y nunca reconstruida), y a través de diversos programas asociados específicos con el Ministerio Italiano de Cultura

Communication and enhancement of Italian cultural heritage by Google

Tras liderar la investigación e indización de la información por cerca de una década, el motor de búsqueda Google se ha convertido en un sistema económico que influye nuestro mundo contemporáneo, contribuyendo grandemente a la transformación de nuestro mundo en un único globo virtual. En años recientes, Google ha comenzado a ofrecer a los usuarios globales aplicaciones o software que son usados para nuestra herencia cultural. Este software se resalta aquí en su potencial, desde un punto de vista económico, cultural y turístico. Tratamos de describir lo más importante del software de Google (como Google Maps, Google Street View, Google Earth, Google SketchUp, Google Books y Google Art Project), con el mayor y más evidente impacto en los sectores culturales y turísticos. Este ensayo muestra la digitalización y promoción de la herencia cultural italiana en Google, a través de sus programas informáticos (por ejemplo, Google Street View que ha llevado al uso de vistas tridimensionales remotas de algunos de los más importantes monumentos y sitios arqueológicos de Italia; el uso de Google SketchUp ha llevado al diseño de reconstrucción tridimensional del histórico centro de la ciudad de L'Aquila, devastada luego del terremoto de abril de 2009 y nunca reconstruida), y a través de diversos programas asociados específicos con el Ministerio Italiano de Cultura