Reverse engineering of pipe layouts and 3D point set damage models

technical reportThis paper focuses on obtaining pipe layout information from depth images, and on the development of damage models for 3D shapes. Techniques are given for recognizing various pipes and pipe features. Methods for generating compact geometric descriptions of pipes and pipe features are discussed. These methods and techniques are analyzed for error, and error measurements are given. 3D shape damage models are proposed based on a separable Gaussian kernel model. Experiments on synthetic and real data were performed and results discussed

Cancer immunotherapy based on MUSIC platform and STING activation in brain cancer cells

https://openworks.mdanderson.org/sumexp23/1008/thumbnail.jp

Human Respiratory Syncytial Virus Memphis 37 Causes Acute Respiratory Disease in Perinatal Lamb Lung

Respiratory syncytial virus (RSV) is the leading cause of hospitalization due to respiratory illness among infants and young children of industrialized countries. There is a lack of understanding of the severe disease mechanisms as well as limited treatment options, none of which are fully satisfactory. This is partly due to lack of a relevant animal model of perinatal RSV infection that mimics moderate to severe disease in infants. We and others have shown mild disease in perinatal lambs with either a bovine or a human A2 strain of RSV. The Memphis 37 clinical strain of human RSV has been used to produce mild to moderate upper respiratory disease in healthy adult volunteers. We hypothesized that the Memphis 37 strain of RSV would infect perinatal lambs and produce clinical disease similar to that in human infants. Perinatal (3- to 5-day-old) lambs were inoculated intranasally with 2 mL/nostril of 1×105 focus-forming units (FFU)/mL (n=2) or 2.1×108 FFU/mL (n=3) of RSV Memphis 37. Clinical signs, gross and histological lesions, and immune and inflammatory responses were assessed. Memphis 37 caused moderate to severe gross and histologic lesions along with increased mRNA expression of macrophage inflammatory protein. Clinically, four of the five infected lambs had a mild to severe increase in expiratory effort. Intranasally administered RSV strain Memphis 37 infects neonatal lambs with gross, histologic, and immune responses similar to those observed in human infants

Utilizing CD24 as an indicator for tumor aggressiveness and metastasis

https://openworks.mdanderson.org/sumexp23/1020/thumbnail.jp

Cancer stem cells, not bulk tumor cells, determine mechanisms of resistance to SMO inhibitors.

The emergence of treatment resistance significantly reduces the clinical utility of many effective targeted therapies. Although both genetic and epigenetic mechanisms of drug resistance have been reported, whether these mechanisms are stochastically selected in individual tumors or governed by a predictable underlying principle is unknown. Here, we report that the dependence of cancer stem cells (CSCs), not bulk tumor cells, on the targeted pathway determines the molecular mechanism of resistance in individual tumors. Using both spontaneous and transplantable mouse models of sonic hedgehog (SHH) medulloblastoma (MB) treated with an SHH/Smoothened inhibitor, sonidegib/LDE225, we show that genetic-based resistance occurs only in tumors that contain SHH-dependent CSCs (SD-CSCs). In contrast, SHH MBs containing SHH-dependent bulk tumor cells but SHH-independent CSCs (SI-CSCs) acquire resistance through epigenetic reprogramming. Mechanistically, elevated proteasome activity in SMOi-resistant SI-CSC MBs alters the tumor cell maturation trajectory through enhanced degradation of specific epigenetic regulators, including histone acetylation machinery components, resulting in global reductions in H3K9Ac, H3K14Ac, H3K56Ac, H4K5Ac, and H4K8Ac marks and gene expression changes. These results provide new insights into how selective pressure on distinct tumor cell populations contributes to different mechanisms of resistance to targeted therapies. This insight provides a new conceptual framework to understand responses and resistance to SMOis and other targeted therapies

Why Reform Fails : The ‘Politics of Policies’ in Costa Rican Telecommunications Liberalization

As the \u27Washington Consensus\u27 reforms are losing momentum in Latin America, the Inter- American Development Bank (IDB) is calling for shifting the focus from the content of policy choices to the political process of their implementation. As this paper studies the paradigmatic case of telecommunications reform in Costa Rica it underscores the importance of these \u27politics of policies\u27. The analysis finds, however, that the failure of repeated liberalization initiatives was not only due to policy-makers\u27 errors in steering the project through \u27the messy world of politics\u27 (IDB); instead, as liberalization remained unpopular, policy content indeed mattered, and only the interaction of both explains the outcome. Particular attention is drawn to the political feed-back effects, as the failed reform, precisely because it had been backed by bi-partisan support, became a catalyst for the disintegration of the country\u27s long-standing two-party system.In dem Maße, in dem die mit dem „Washington Consensus“ verbundenen Reformen in Lateinamerika ins Stocken geraten sind, plädiert die Inter-American Development Bank (IDB) für eine stärkere Berücksichtigung nicht nur der Politikinhalte (policies), sondern auch des politischen Prozesses von deren Umsetzung (politics). Die vorliegende Untersuchung zum paradigmatischen Fall der Reform des Telekommunikationssektors in Costa Rica unterstreicht die Bedeutung dieser „politics of policies“. Sie zeigt allerdings auch, dass Ursache für das Scheiten wiederholter Liberalisierungsinitiativen nicht nur Fehler der Politiker sind, das Vorhaben durch „die unordentliche Welt der politics“ (IDB) zu steuern. Die breite gesellschaftliche Opposition gegen den Liberalisierungskurs bleibt. Nur die Interaktion von beiden, politics und policies, erklärt Verlauf und Ergebnis der Reform. Besonderes Augenmerk widmet die Studie den politischen Rückwirkungen der gescheiterten Reform: Sie wurde, just weil sie von beiden etablierten Parteien unterstützt wurde, zum Katalysator für den Zerfall des seit Jahrzehnten etablierten Zweiparteiensystems des Landes

Geography, institutions and development: a review ofthe long-run impacts of climate change

The links between climate change, economic growth and economic development have gained increasing attention over recent years in both the academic and policy literature. However, most of the existing literature has tended to focus on direct, short run effects of climate change on the economy, for example due to extreme weather events and changes in agricultural growing conditions. In this paper we review potential effects of climate change on the prospects for long-run economic development. These effects might operate directly, via the role of geography (including climate) as a fundamental determinant of relative prosperity, or indirectly by modifying the environmental context in which political and economic institutions evolve. We consider potential mechanisms from climate change to long-run economic development that have been relatively neglected to date, including, for instance, effects on the distribution of income and political power. We conclude with some suggestions for areas of future research

How does one become spiritual? The Spiritual Modeling Inventory of Life Environments (SMILE)

We report psychometric properties, correlates and underlying theory of the Spiritual Modeling Index of Life Environments (SMILE), a measure of perceptions of spiritual models, defined as everyday and prominent people who have functioned for respondents as exemplars of spiritual qualities, such as compassion, self-control, or faith. Demographic, spiritual, and personality correlates were examined in an ethnically diverse sample of college students from California, Connecticut, and Tennessee (N=1010). A summary measure of model influence was constructed from perceived models within family, school, religious organization, and among prominent individuals from both tradition and media. The SMILE, based on concepts from Bandura\u27s (1986) Social Cognitive Theory, was well-received by respondents. The summary measure demonstrated good 7-week test/retest reliability (r=.83); patterns of correlation supporting convergent, divergent, and criterion-related validity; demographic differences in expected directions; and substantial individual heterogeneity. Implications are discussed for further research and for pastoral, educational, and health-focused interventions

Instability, investment, disasters, and demography: natural disasters and fertility in Italy (1820–1962) and Japan (1671–1965)

This article examines whether natural disasters affect fertility—a topic little explored but of policy importance given relevance to policies regarding disaster insurance, foreign aid, and the environment. The identification strategy uses historic regional data to exploit natural variation within each of two countries: one European country—Italy (1820–1962), and one Asian country—Japan (1671–1965). The choice of study settings allows consideration of Jones’ (The European miracle, Cambridge University Press, Cambridge, 1981) theory that preindustrial differences in income and population between Asia and Europe resulted from the fertility response to different environmental risk profiles. According to the results, short-run instability, particularly that arising from the natural environment, appears to be associated with a decrease in fertility—thereby suggesting that environmental shocks and economic volatility are associated with a decrease in investment in the population size of future generations. The results also show that, contrary to Jones’ (The European miracle, Cambridge University Press, Cambridge, 1981) theory, differences in fertility between Italy and Japan cannot be explained away by disaster proneness alone. Research on the effects of natural disasters may enable social scientists and environmentalists alike to better predict the potential effects of the increase in natural disasters that may result from global climate change