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Institution

Northampton Community College

EducationBethlehem, Pennsylvania, United States
About: Northampton Community College is a education organization based out in Bethlehem, Pennsylvania, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 3410 authors who have published 4582 publications receiving 130398 citations. The organization is also known as: Northampton County Area Community College.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors simulate interbank lending with homogeneous banks and heterogeneous banks, and show that the interbank market can play an ambiguous role in stabilizing the system.
Abstract: We simulate interbank lending. Each bank faces fluctuations in liquid assets and stochastic investment opportunities that mature with delay, creating the risk of liquidity shortages. An interbank market lets participants pool this risk but also creates the potential for one bank’s crisis to propagate through the system. We study banking systems with homogeneous banks, as well as systems in which banks are heterogeneous. With homogeneous banks, an interbank market unambiguously stabilizes the system. With heterogeneity, knock-on effects become possible, but the stabilizing role of interbank lending remains so that the interbank market can play an ambiguous role.

286 citations

Journal ArticleDOI
TL;DR: In this article, the authors performed a study to evaluate differences in concentration of air pollutants outside and inside homes in streets with low and high traffic intensity in Amsterdam, the Netherlands, in the framework of the Small Area Variation in Air quality and Health (SAVIAH) study.

285 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore some of the ways in which children encounter the countryside through their own experiences, and re-examine the 'rural' from their own viewpoint, uncover an alternative geography of exclusion and disenfranchisement.

280 citations

Journal ArticleDOI
TL;DR: It is argued that it is possible to provide genuinely improved management decision support systems based on such simplistic metrics, but only by adopting a less isolationist approach that uses Bayesian Belief nets.

275 citations

Journal ArticleDOI
01 Jan 2000
TL;DR: The Okapi system has been used in a series of experiments on the TREC collections, investigating probabilistic models, relevance feedback and query expansion, and interaction issues, and was used to test an application of a new relevance weighting formula.
Abstract: The Okapi system has been used in a series of experiments on the TREC collections, investigating probabilistic models, relevance feedback and query expansion, and interaction issues. The TREC-6 ad hoc task was used to test an application of a new relevance weighting formula, which takes account of documents judged nonrelevant. The application was to a form of blind feedback (using the top-ranked documents from an initial search to improve the query formulation for a subsequent search, without actual relevance feedback, on the assumption that these top-ranked documents are likely to be relevant). In the routing task, the problem is one of query optimization based on a training set with known relevant documents; investigations for TREC-6 included using a form of simulated annealing for this purpose. A significant feature of this work is the need to avoid overfitting of the training sample. In the interactive track, methodology remains the major problem: we do not yet know how to conduct controlled laboratory experiments which provide good information about information retrieval interaction. The Okapi team has been particularly interested in the relation between the functionalities associated with relevance feedback and the ability of searchers to make use of these functionalities. TREC provides an excellent environment and set of tools for investigating automatic systems; its value for interactive systems is not yet proven.

273 citations


Authors

Showing all 3411 results

NameH-indexPapersCitations
Simon Baron-Cohen172773118071
Pete Smith1562464138819
Martin N. Rossor12867095743
Mark D. Griffiths124123861335
Richard G. Brown8321726205
Brendon Stubbs8175428180
Stuart N. Lane7633715788
Paul W. Burgess6915621038
Thomas Dietz6820337313
Huseyin Sehitoglu6732414378
Susan Golombok6721512856
David S.G. Thomas6322814796
Stephen Morris6344316484
Stephen Robertson6119723363
Michael J. Morgan6026612211
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
20221
202182
202073
201968
201865