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Institution

Wichita State University

EducationWichita, Kansas, United States
About: Wichita State University is a education organization based out in Wichita, Kansas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 4988 authors who have published 9563 publications receiving 253824 citations. The organization is also known as: WSU & Fairmount College.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors describe the main results on the uniqueness and stability of penetrable or impenetrable obstacles from various boundary data and present basic ideas of proofs in the case of single and many boundary measurements.
Abstract: In this review, we describe the main results on the uniqueness and stability of penetrable or impenetrable obstacles from various boundary data. We present basic ideas of proofs in the case of single and many boundary measurements. We discuss some methods of reconstruction. We consider the inverse problem of gravimetry, inverse conductivity and scattering problems, and similar inverse obstacle problems for hyperbolic and parabolic equations. We expose mostly known results and some new ideas and approaches. In conclusion, we list several open research problems of significance for theory and applications.

55 citations

Journal ArticleDOI
TL;DR: The procedures needed to assess the effects of naturally occurring consequences on interactional patterns are detailed in this study and positive consequences were associated with increases, and negative consequences with decreases, in the probability of a child reacting to the next occurrence of the maternal action when compared to the base-rate probability of that action-reaction pattern.
Abstract: Research on social interaction has consistently documented the existence of mutual interdependencies between the behavior of 1 person and reactions to that behavior by others in the social environment. The concept of social reinforcement, although often used to explain acquisition and change in interaction patterns defined by such interdependencies, is difficult to apply to interaction observed in natural settings. On the basis of extended observation of the interaction of 2 mother-child dyads, the procedures needed to assess the effects of naturally occurring consequences on interactional patterns are detailed in this study. Reliable mother action-child reaction patterns were first identified, and the effect of maternal consequences for those patterns on the probability of their subsequent occurrence was assessed. Positive consequences were associated with increases, and negative consequences with decreases, in the probability of a child reacting to the next occurrence of the maternal action when compared to the base-rate probability of that action-reaction pattern. Thus consequences affect momentary shifts around the baseline probability of interactional patterns. Positive consequences were also associated with short-term increases, and negative consequences with short-term decreases, in the base-rate probability of interactional patterns.

55 citations

Proceedings ArticleDOI
08 Sep 2013
TL;DR: A novel information-sharing system that decides (semi-)automatically whether to share information with others, whenever they request it, and at what granularity, and it outperforms other kinds of global and individual policies, by achieving up to 90% of correct decisions.
Abstract: Personal and contextual information are increasingly shared via mobile social networks. Users' locations, activities and their co-presence can be shared easily with online "friends", as their smartphones already access such information from embedded sensors and storage. Yet, people usually exhibit selective sharing behavior depending on contextual attributes, thus showing that privacy, utility, and usability are paramount to the success of such online services. In this paper, we present SPISM, a novel information-sharing system that decides (semi-)automatically whether to share information with others, whenever they request it, and at what granularity. Based on active machine learning and context, SPISM adapts to each user's behavior and it predicts the level of detail for each sharing decision, without revealing any personal information to a third-party. Based on a personalized survey about information sharing involving 70 participants, our results provide insight into the most influential features behind a sharing decision. Moreover, we investigate the reasons for the users' decisions and their confidence in them. We show that SPISM outperforms other kinds of global and individual policies, by achieving up to 90% of correct decisions.

55 citations

Journal ArticleDOI
TL;DR: In this article, three new strategies of behavior modification (contract management, convert sensitization, and contingency management) are described in their successful application to a statistically unimpressive sample (N = 2).
Abstract: Past and present methods of smoking abatement are cavalierly reviewed and found to be lacking. Three new strategies of behavior modification—contract management, convert sensitization, and contingency management—are described in their successful application to a statistically unimpressive sample (N = 2). Suggestions are offered for systematic research on the problem of smoking control and the broader implications of these strategies for the field of behavior modification are discussed.

55 citations


Authors

Showing all 5021 results

NameH-indexPapersCitations
Herbert A. Simon157745194597
Rui Zhang1512625107917
Frederick Wolfe119417101272
Shunichi Fukuzumi111125652764
Robert Y. Moore9524535941
Maurizio Salaris7641720927
Annie K. Powell7348622020
Gunther Uhlmann7244419560
Danielle S. McNamara7053922142
Jonathan P. Hill6736719271
Francis D'Souza6647716662
Osamu Ito6554917035
Louis J. Guillette6433820263
Karl A. Gschneidner6467522712
Robert Reid5921512097
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202314
202259
2021331
2020351
2019325
2018327