144 research outputs found
Framing and Vaccine Hesitant Populations
No full textThis dataset is related to the ongoing research on how framing of vaccines in a DCE context influences uptake as a function of attitudes
From quantum stochastic differential equations to Gisin-Percival state diffusion
No full textStarting from the quantum stochastic differential equations of Hudson and Parthasarathy Commun. Math. Phys. 93, 301 (1984) and exploiting the Wiener-Itô-Segal isomorphism between the boson Fock reservoir space �(L2(�+)�(�n��n)) and the Hilbert space L2(μ), where μ is the Wiener probability measure of a complex n-dimensional vector-valued standard Brownian motion (B(t),t�0), we derive a non-linear stochastic Schrödinger equation describing a classical diffusion of states of a quantum system, driven by the Brownian motion B. Changing this Brownian motion by an appropriate Girsanov transformation, we arrive at the Gisin-Percival state diffusion equation N. Gisin and J. Percival, J. Phys. A 167, 315 (1992). This approach also yields an explicit solution of the Gisin-Percival equation, in terms of the Hudson-Parthasarathy unitary process and a randomized Weyl displacement process. Irreversible dynamics of system density operators described by the well-known Gorini-Kossakowski-Sudarshan-Lindblad master equation is unraveled by coarse-graining over the Gisin-Percival quantum state trajectories. © 2017 Author(s)
Viscous streaming-enhanced inertial particle transport
No full textFluidic devices operating at the micro- and milli-meter scales employ several fundamental tasks involving pumping, mixing, separation, sorting, storing and transport of different fluids (or) species. An attractive fluid mechanism that can be leveraged to fulfill these wide range of tasks is viscous streaming, a non-linear effect characteristic of the scales above. In this thesis, we first show that numerical simulations based on the Remeshed Vortex Method (RVM) can accurately and efficiently capture viscous streaming dynamics. We test this algorithm on a wide variety of settings while simultaneously exhibiting the resultant streaming flow--structures, demonstrating both streaming's capability of effecting flow control and our solver's robustness in capturing these structures. We then consider the problem of an idealized two-dimensional inertial particle transport and prove that transport can be augmented by sensibly utilizing the streaming mechanism. We then successfully perform a forward--design study to devise shapes capable of enhanced transport using this mechanism, capitalizing on the insights gained from our demonstrations above. We envison such transport applications in the emergent technology of miniature robots, capable of traversing our blood stream to deliver payloads of therapeutical drugs.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2020-12-01The student, Tejaswin Parthasarathy, accepted the attached license on 2018-12-12 at 17:19.The student, Tejaswin Parthasarathy, submitted this Thesis for approval on 2018-12-12 at 17:27.This Thesis was approved for publication on 2018-12-13 at 16:32.DSpace SAF Submission Ingestion Package generated from Vireo submission #13309 on 2019-02-08 at 11:42:06Made available in DSpace on 2019-02-08T18:44:46Z (GMT). No. of bitstreams: 2
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Previous issue date: 2018-12-13Embargo set by: Seth Robbins for item 109991
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Coauthor prediction for junior researchers
No full textResearch collaboration can bring in different perspectives and generate more productive results. However, finding an appropriate collaborator can be difficult due to the lacking of sufficient information. Link prediction is a related technique for collaborator discovery; but its focus has been mostly on the core authors who have relatively more publications. We argue that junior researchers actually need more help in finding collaborators. Thus, in this paper, we focus on coauthor prediction for junior researchers. Most of the previous works on coauthor prediction considered global network feature and local network feature separately, or tried to combine local network feature and content feature. But we found a significant improvement by simply combing local network feature and global network feature. We further developed a regularization based approach to incorporate multiple features simultaneously. Experimental results demonstrated that this approach outperformed the simple linear combination of multiple features. We further showed that content features, which were proved to be useful in link prediction, can be easily integrated into our regularization approach. © 2013 Springer-Verlag
ESSAYS ON SELLING AND SALES INCENTIVES
No full textU.S. firms spend around $800 billion annually on sales force. This is four times the amount that is spent on advertising (Zoltners et al. 2012). However, research in the area of sales does not match these numbers. In this dissertation, first, I examine how the revolution in data availability has changed the salesperson-customer interaction. Then, I examine the framing of noncash incentives and how to maximize the effectiveness of noncash incentives.
Essay 1 examines how the ready availability of information about purchase options has shifted the point at which customers make purchase decisions. Customers often come into the sales interaction knowing what they want (i.e., have higher preference certainty). Yet companies continue to base their selling strategies, spending billions of dollars, on a model of the customer decision process that is predicated on low preference certainty. Therefore, understanding the impact of customer preference certainty on the efficacy of the traditional selling paradigm is crucial. Through an extensive field study spanning four months across 15 different stores of a durable goods retailer and two experiments, I examine the consequences of this shift toward higher preference certainty for the practice of selling. Drawing on the theory of cognitive dissonance and adaptive selling, they find that a lack of consideration of the shift in customer decision making can hurt both salespeople and customers. Specifically, they find that ignoring customer preference certainty and unconditionally employing tactics that involve educating and challenging customers can have negative repercussions on purchase probability and sales revenue.
Essay 2 investigates the framing of noncash incentives. Most firms have a points-based bonus system for incentivizing their sales force that enables salespeople to exchange earned points for prizes. These noncash incentive programs effectively frame their prizes as something to be gained. This practice of gain framing noncash incentives stands at odds with a core insight from prospect theory that framing an item as a loss should be more motivating than framing it as a gain, based on the asymmetry in expected utility of the related item under each type of frame. Despite the growing ubiquity of noncash incentives as a tool to motivate the sales force, little is known about their efficacy relative to cash incentives or whether the industry-dominant practice of gain framing noncash incentives is the right approach. Across three studies, I examine the relative efficacy of framing cash and noncash incentives as either gains or losses. Our multimethod approach, featuring a field experiment, a field study, and a lab experiment, provides evidence that loss framing noncash incentives is more effective than gain framing them and, counterintuitively, that noncash incentives can be as effective as cash incentives when loss framed. Of particular managerial importance, I find that an approach as simple as allowing a salesperson to add items to a wish list (a substantially less intrusive loss-framing strategy for noncash incentives than “clawing back” the related items) can be more effective than a traditional points-based system. Furthermore, my analysis suggests that the effectiveness of this wish list approach to loss framing does not noticeably diminish with repeat usage.Marketing and Entrepreneurship, Department o
Toward Inclusive, Vital and Livable City Scenarios: The Transformation of Urban Villages in Shenzhen
No full textCurrently Shenzhen is experiencing industrial upgrading and city reprofiling, transforming from a world factory to a world city. It is a crucial moment to rethink the future of urban villages in the city, informal settlements that emerged extensively along with rapid industrialization and urban development in the past three decades, and played essential roles as “arrival cities” for migrants. This chapter investigates the formation process of urban villages as well as planning strategies for future development, from the perspective of urban form and governance. Urban vitality, livability, and inclusiveness are addressed as multidimensional urban values that could generate common interests among stakeholders, which therefore could be considered desirable and possible future scenarios for such neighborhoods in Shenzhen.Accepted Author ManuscriptSpatial Planning and Strateg
Attribute Conflict in Consumer Decision Making: The Role of Task Compatibility
No full textPast research holds that a decision between two unattractive alternatives is more difficult than one between two attractive alternatives. We argue that this conclusion may rest on the the task of "choosing" adopted in the past research. A task of choosing requires an attractiveness judgment that is compatible with attractive alternatives but incompatible with unattractive alternatives. We test this thesis by reversing the compatibility using a reject task that requires judgment of unattractiveness. Two studies find that compatibility between alternative valence and task influences decision time, decision difficulty, attribute recall, and effort, underscoring the role of the task in the study of attribute conflict. (c) 2008 by JOURNAL OF CONSUMER RESEARCH, Inc..
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