790 research outputs found

    Hybrid Tri-Objective Optimization of F-15 Fleet Modernization Scheduling

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    The F-15 weapons system is vital to the Air Forces efforts to obtain air supremacy during conflict. Originally produced almost 50 years ago, technological advancement through systems modifications is necessary to ensure the Eagles lethality and survivability against next-generation adversarial threats. The F-15 Systems Program Office faces challenges to plan aircraft inductions for five fleet modernization programs. Optimal induction schedules are developed using binary-integer linear programming models. Diverse constraints such as manpower, equipment, modification kit availability, minimum operational flight levels, and integration of scheduled depot maintenance reveal that no feasible schedule exists. Two competing objectives representing the value of fully modernized airframes and the additional workload associated with modifications are explored using the weighted sums method. To enable model solvability, penalties are associated with constraint relaxations with an aggregate penalty term is incorporated into the objective function. Implementing value focused decision analysis techniques, a fleet hierarchy is establishes aircraft precedence for instances having scarce resources shared amongst multiple fighter jets. Sensitivity analysis is employed to examine impacts of various operationally realistic future scenarios

    Study of the acoustic signature of UHE neutrino interactions in water and ice

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    The production of acoustic signals from the interactions of ultra-high energy (UHE) cosmic ray neutrinos in water and ice has been studied. A new computationally fast and efficient method of deriving the signal is presented. This method allows the implementation of up to date parameterisations of acoustic attenuation in sea water and ice that now includes the effects of complex attenuation, where appropriate. The methods presented here have been used to compute and study the properties of the acoustic signals which would be expected from such interactions. A matrix method of parameterising the signals, which includes the expected fluctuations, is also presented. These methods are used to generate the expected signals that would be detected in acoustic UHE neutrino telescopes.Comment: 21 pages and 13 figure

    Customer effort in value cocreation activities: improving quality of life and behavioral intentions of health care customers

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    Transformative service research is particularly relevant in health care where the firm and customer can contribute to individual as well as societal well-being. This article explores customer value cocreation in health care, identifying a hierarchy of activities representing varying levels of customer effort from complying with basic requirements (less effort and easier tasks) to extensive decision making (more effort and more difficult tasks). We define customer Effort in Value Cocreation Activities (EVCA) as the degree of effort that customers exert to integrate resources, through a range of activities of varying levels of perceived difficulty. Our findings underscore the importance of viewing health care service as taking place within the customer's service network that extends well beyond the customer-firm dyad to include other market-facing as well as public and private resources. Moreover, we demonstrate the transformative potential of customer EVCA linking customer EVCA to quality of life, satisfaction with service and behavioral intentions. We do so across three prevalent chronic diseasescancer, heart disease, and diabetes. Our findings highlight how an integrated care model has benefits for both customers and providers and can enhance customer EVCA

    Neuronal Cell Model and Methods of Use Thereof

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    We previously described a novel in vitro model of a non-productive herpes simplex virus type 1 (HSV-1) infection in neurally-differentiated (ND)-PC12 cells that allows for inducible virus replication upon forskolin and heat stress (HS) treatment. In this research, we further characterized the model with respect to HSV-2 strain 333. We found that: (i) ND-PC12 cells are non-permissive to HSV-2 replication; (ii) HSV-2 can establish a quiescent infection, like HSV-1, in ND-PC12 cells with the transient use of acycloguanosine (ACV); however unlike HSV-1, anti-viral conditions are not obligatory to establish and maintain a quiescent state; (iii) the quiescent state is maintained in the presence of Vero cell cocultivation indicating that such cultures are free of infectious virus; and (iv) a high percentage of quiescently infected (QIF)-PC 12 cell cultures (80-100%) produce HSV-2 in response to forskolin and HS (43° C., 3 h) treatment for as long as 4 weeks post infection. These findings indicate that ND-PC12 cells can harbor HSV-2 in a cryptic and non-productive state that is reversible. This model has appealing features for studying gene expression during the establishment, maintenance and reactivation phases of the HSV-2 quiescent state in cell culture. Journal of Neuro Virology (2000) 6, 296-302

    Neuronal Cell Model and Methods of Use Therefor

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    The present invention provides, inter alia, a PC12 cell quiescently infected with a neurotropic virus. Preferred quiescently-infected neural cells are those wherein the neurotropic virus is a neurotropic herpes virus. Methods related to these and other materials are also provided

    Programming with Exceptions in JCilk

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    JCilk extends the Java language to provide call-return semantics for multithreading, much as Cilk does for C. Java's built-in thread model does not support the passing of exceptions or return values from one thread back to the "parent" thread that created it. JCilk imports Cilk's fork-join primitives spawn and sync into Java to provide procedure-call semantics for concurrent subcomputations. This paper shows how JCilk integrates exception handling with multithreading by defining semantics consistent with the existing semantics of Java's try and catch constructs, but which handle concurrency in spawned methods. JCilk's strategy of integrating multithreading with Java's exception semantics yields some surprising semantic synergies. In particular, JCilk extends Java's exception semantics to allow exceptions to be passed from a spawned method to its parent in a natural way that obviates the need for Cilk's inlet and abort constructs. This extension is "faithful" in that it obeys Java's ordinary serial semantics when executed on a single processor. When executed in parallel, however, an exception thrown by a JCilk computation signals its sibling computations to abort, which yields a clean semantics in which only a single exception from the enclosing try block is handled. The decision to implicitly abort side computations opens a Pandora's box of subsidiary linguistic problems to be resolved, however. For instance, aborting might cause a computation to be interrupted asynchronously, causing havoc in programmer understanding of code behavior. To minimize the complexity of reasoning about aborts, JCilk signals them "semisynchronously" so that abort signals do not interrupt ordinary serial code. In addition, JCilk propagates an abort signal throughout a subcomputation naturally with a built-in CilkAbort exception, thereby allowing programmers to handle clean-up by simply catching the CilkAbort exception. The semantics of JCilk allow programs with speculative computations to be programmed easily. Speculation is essential for parallelizing programs such as branch-and-bound or heuristic search. We show how JCilk's linguistic mechanisms can be used to program a solution to the "queens" problem and an implemention of a parallel alpha-beta search.Singapore-MIT Alliance (SMA

    Poetyka kognitywna a literackość: analogia metaforyczna w Annie Kareninie

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    Poetyka kognitywna a literackość: analogia metaforyczna w Annie Karenini

    Role of Kindness in Cancer Care

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    The wonders of high-tech cancer care are best complemented by the humanity of high-touch care. Simple kindnesses can help to diffuse negative emotions that are associated with cancer diagnosis and treatment-and may even help to improve patients\u27 outcomes. On the basis of our experience in cancer care and research, we propose six types of kindness in cancer care: deep listening , whereby clinicians take the time to truly understand the needs and concerns of patients and their families; empathy for the patient with cancer, expressed by both individual clinicians and the care culture, that seeks to prevent avoidable suffering; generous acts of discretionary effort that go beyond what patients and families expect from a care team; timely care that is delivered by using a variety of tools and systems that reduce stress and anxiety; gentle honesty, whereby the truth is conveyed directly in well-chosen, guiding words; and support for family caregivers, whose physical and mental well-being are vital components of the care their loved ones receive. These mutually reinforcing manifestations of kindness-exhibited by self-aware clinicians who understand that how care is delivered matters-constitute a powerful and practical way to temper the emotional turmoil of cancer for patients, their families, and clinicians themselves

    Exact Hybrid Covariance Thresholding for Joint Graphical Lasso

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    This paper considers the problem of estimating multiple related Gaussian graphical models from a pp-dimensional dataset consisting of different classes. Our work is based upon the formulation of this problem as group graphical lasso. This paper proposes a novel hybrid covariance thresholding algorithm that can effectively identify zero entries in the precision matrices and split a large joint graphical lasso problem into small subproblems. Our hybrid covariance thresholding method is superior to existing uniform thresholding methods in that our method can split the precision matrix of each individual class using different partition schemes and thus split group graphical lasso into much smaller subproblems, each of which can be solved very fast. In addition, this paper establishes necessary and sufficient conditions for our hybrid covariance thresholding algorithm. The superior performance of our thresholding method is thoroughly analyzed and illustrated by a few experiments on simulated data and real gene expression data

    Construction and Assembly of the Wire Planes for the MicroBooNE Time Projection Chamber

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    In this paper we describe how the readout planes for the MicroBooNE Time Projection Chamber were constructed, assembled and installed. We present the individual wire preparation using semi-automatic winding machines and the assembly of wire carrier boards. The details of the wire installation on the detector frame and the tensioning of the wires are given. A strict quality assurance plan ensured the integrity of the readout planes. The different tests performed at all stages of construction and installation provided crucial information to achieve the successful realisation of the MicroBooNE wire planes.Comment: 24 pages, 22 figures, accepted for publication as Technical Report in JINS
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