3,442 research outputs found

    A microeconometric analysis of risk aversion and the decision to self-insure

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    This study estimates a von Neumann-Morgenstern utility function using market data and microeconometric methods. We investigate the decision whether to purchase insurance against the risk of telephone line trouble in the home. Using the choices of approximately 10,000 residential customers, we determine the shape of the utility function and the degree of risk aversion. We find that risk aversion varies systematically in the population and varies with the level of income and that the observed choice behavior is consistent with expected utility maximization

    On Using Active Learning and Self-Training when Mining Performance Discussions on Stack Overflow

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    Abundant data is the key to successful machine learning. However, supervised learning requires annotated data that are often hard to obtain. In a classification task with limited resources, Active Learning (AL) promises to guide annotators to examples that bring the most value for a classifier. AL can be successfully combined with self-training, i.e., extending a training set with the unlabelled examples for which a classifier is the most certain. We report our experiences on using AL in a systematic manner to train an SVM classifier for Stack Overflow posts discussing performance of software components. We show that the training examples deemed as the most valuable to the classifier are also the most difficult for humans to annotate. Despite carefully evolved annotation criteria, we report low inter-rater agreement, but we also propose mitigation strategies. Finally, based on one annotator's work, we show that self-training can improve the classification accuracy. We conclude the paper by discussing implication for future text miners aspiring to use AL and self-training.Comment: Preprint of paper accepted for the Proc. of the 21st International Conference on Evaluation and Assessment in Software Engineering, 201

    The Use and Misuse of Surveys in Economic Analysis: Natural Resource Damage Assessment Under CERCLA

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    This paper examines problems with the admissibility of contingent use methodology surveys in natural resource damage assessment cases under the Comprehensive Environmental Response, Compensation and Liability Act of 1980 (CERCLA), as well as the propriety of their use in formulating public policy. Using a contingent use survey conducted in conjunction with the New Bedford Harbor Superfund case and two follow-up surveys, a number of errors and biases associated with contingent use methodology surveys are isolated and analyzed

    A Micro-Econometric Analysis of Risk-Aversion and the Decision to Self-Insure

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    This study estimates a von Neumann-Morgenstern utility function using market data and micro-econometric methods. We investigate the decision whether to purchase insurance against the risk of telephone line trouble in the home. Using the choices of approximately 10,000 residential customers, we determine the shape of the utility function and the degree of risk-aversion. We find that risk-aversion varies systematically in the population and varies with the level of income and that the observed choice behavior is consistent with expected utility maximization. We are unable to detect the presence of ambiguity effects or over-weighting of low-probability events

    Culture of human cell lines by a pathogen-inactivated human platelet lysate

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    Alternatives to the use of fetal bovine serum (FBS) have been investigated to ensure xeno-free growth condition. In this study we evaluated the efficacy of human platelet lysate (PL) as a substitute of FBS for the in vitro culture of some human cell lines. PL was obtained by pools of pathogen inactivated human donor platelet (PLT) concentrates. Human leukemia cell lines (KG-1, K562, JURKAT, HL-60) and epithelial tumor cell lines (HeLa and MCF-7) were cultured with either FBS or PL. Changes in cell proliferation, viability, morphology, surface markers and cell cycle were evaluated for each cell line. Functional characteristics were analysed by drug sensitivity test and cytotoxicity assay. Our results demonstrated that PL can support growth and expansion of all cell lines, although the cells cultured in presence of PL experienced a less massive proliferation compared to those grown with FBS. We found a comparable percentage of viable specific marker-expressing cells in both conditions, confirming lineage fidelity in all cultures. Functionality assays showed that cells in both FBS- and PL-supported cultures maintained their normal responsiveness to adriamycin and NK cell-mediated lysis. Our findings indicate that PL is a feasible serum substitute for supporting growth and propagation of haematopoietic and epithelial cell lines with many advantages from a perspective of process standardization, ethicality and product safety

    Two-year observations of the Jupiter polar regions by JIRAM on board Juno

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    We observed the evolution of Jupiter's polar cyclonic structures over two years between February 2017 and February 2019, using polar observations by the Jovian InfraRed Auroral Mapper, JIRAM, on the Juno mission. Images and spectra were collected by the instrument in the 5‐μm wavelength range. The images were used to monitor the development of the cyclonic and anticyclonic structures at latitudes higher than 80° both in the northern and the southern hemispheres. Spectroscopic measurements were then used to monitor the abundances of the minor atmospheric constituents water vapor, ammonia, phosphine and germane in the polar regions, where the atmospheric optical depth is less than 1. Finally, we performed a comparative analysis with oceanic cyclones on Earth in an attempt to explain the spectral characteristics of the cyclonic structures we observe in Jupiter's polar atmosphere

    Prioritization of high-cost new drugs for HCV: making sustainability ethical

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    Hepatitis C virus (HCV) infection is a major health problem worldwide. Chronic HCV infection may in the long run cause cirrhosis, hepatic decompensation and hepatocellular carcinoma, with an ultimate disease burden of at least 350,000 deaths per year worldwide. The new generation of highly effective direct acting antivirals (DAA) to treat HCV infection brings major promises to infected patients in terms of exceedingly high rates of sustained virological response (SVR) but also of tolerability, allowing even the sickest patients to be treated. Even in the face of the excellent safety and efficacy and wide theoretical applicability of these regimens, their introduction is currently facing cost and access issues denying their use to many patients in need. Health systems in all countries are facing a huge problem of distributive justice, since while they should guarantee individual rights, among which the right to health in its broader sense, therefore not limited to healing, but extended to quality of life, they must also grant equal access to the healthcare resources and keep the distribution system sustainable. In the face of a disease with a relatively unpredictable course, where many but not of all chronically infected will eventually die of liver disease, selective allocation of this costly resource is debatable. In most countries the favorite solution has been a stratification of patients for prioritization of treatment, which means allowing Interferon-free DAA treatment only in patients with advanced fibrosis or cirrhosis, while keeping on hold persons with lesser stages of liver disease. In this report, we will perform an ethical assessment addressing the issues linked to access to new therapies, prioritization and eligibility criteria, analyzing the meaning of the term “distributive justice” and the different approaches that can guide us (individualistic libertarianism, social utilitarianism and egalitarianism) on this specific matter. Even if over time the price of new DAA will be reduced through competition and eventual patent expiration, the phenomenon of high drug costs will go on in the next decades and we need adequate tools to face the problems of distributive justice that come with it

    Refugees, trauma and adversity-activated development

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    The nature of the refugee phenomenon is examined and the position of mental health professionals is located in relation to it. The various uses of the word 'trauma' are explored and its application to the refugee context is examined. It is proposed that refugees' response to adversity is not limited to being traumatized but includes resilience and Adversity-Activated Development (AAD). Particular emphasis is given to the distinction between resilience and AAD. The usefulness of the 'Trauma Grid' in the therapeutic process with refugees is also discussed. The Trauma Grid avoids global impressions and enables a more comprehensive and systematic way of identifying the individual refugee's functioning in the context of different levels, i.e. individual, family, community and society/culture. Finally, I discuss implications for therapeutic work with refugees

    Bottom-up meta-modelling: An interactive approach

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    The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-33666-9_2Proceedings of 15th International Conference, MODELS 2012, Innsbruck, Austria, September 30–October 5, 2012The intensive use of models in Model-Driven Engineering (MDE) raises the need to develop meta-models with different aims, like the construction of textual and visual modelling languages and the specification of source and target ends of model-to-model transformations. While domain experts have the knowledge about the concepts of the domain, they usually lack the skills to build meta-models. These should be tailored according to their future usage and specific implementation platform, which demands knowledge available only to engineers with great expertise in MDE platforms. These issues hinder a wider adoption of MDE both by domain experts and software engineers. In order to alleviate this situation we propose an interactive, iterative approach to meta-model construction enabling the specification of model fragments by domain experts, with the possibility of using informal drawing tools like Dia. These fragments can be annotated with hints about the intention or needs for certain elements. A meta-model is automatically induced, which can be refactored in an interactive way, and then compiled into an implementation meta-model using profiles and patterns for different platforms and purposes.This work was funded by the Spanish Ministry of Economy and Competitivity (project “Go Lite” TIN2011-24139) and the R&D programme of the Madrid Region (project “e-Madrid” S2009/TIC-1650
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