Institution
Oklahoma State University–Stillwater
Education•Stillwater, Oklahoma, United States•
About: Oklahoma State University–Stillwater is a education organization based out in Stillwater, Oklahoma, United States. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 18267 authors who have published 36743 publications receiving 1107500 citations. The organization is also known as: Oklahoma State University & OKState.
Papers published on a yearly basis
Papers
More filters
••
01 Apr 2007TL;DR: This article focuses on model-driven DSS built using decision analysis, optimization, and simulation technologies; implementation using spreadsheet and web technologies; issues associated with the user interface; and behavioral and technical research questions.
Abstract: In some decision situations, quantitative models embedded in a Decision Support System (DSS) can help managers make better decisions. Model-driven DSS use algebraic, decision analytic, financial, simulation, and optimization models to provide decision support. This category of DSS is continuing to evolve, but research can resolve a variety of behavioral and technical issues that impact system performance, acceptance and adoption. This article includes a brief survey of prior research. It focuses on model-driven DSS built using decision analysis, optimization, and simulation technologies; implementation using spreadsheet and web technologies; issues associated with the user interface; and behavioral and technical research questions.
345 citations
••
TL;DR: In this paper, a case study using actual RFID data collected by a major retailer for the cases shipped by one of its major suppliers is presented, where the physical layout of the RFID readers on a partial supply-chain covering product movement from distribution centers to retail stores.
Abstract: Mostly fueled by mandates, adoption, and implementation of the RFID, technology in the retail industry is growing rapidly. At these early stages of adoption, one puzzling issue for retailers and suppliers is the compelling business case for RFID. In order to explore the potential business case for RFID, we conducted a case study using actual RFID data collected by a major retailer for the cases shipped by one of its major suppliers. We show the physical layout of the RFID readers on a partial supply-chain covering product movement from distribution centers to retail stores. First, in the analysis phase, we identify several performance metrics that can be computed from the RFID readings. Next, using this RFID data, we compute the values of those performance metrics. These values represent mean time between movements at different locations. Then, we discuss how these measures can assist in improving logistical performance at a micro supply chain level of operations between a distribution center and a retail store. We present how such information can be valuable to both the retail store operator and the supplier. We also discuss the initial lessons learned from actual RFID data collected in the field, in terms of data quality issues.
344 citations
••
University of Missouri1, University of Vermont2, Oklahoma State University–Stillwater3, University of Córdoba (Spain)4, Agricultural Research Service5, University of Nottingham6, Uppsala University7, Texas A&M University8, University of Veterinary and Animal Sciences9, Empresa Brasileira de Pesquisa Agropecuária10, Ankara University11, Pennsylvania State University12, Northwest A&F University13, Iowa State University14, University of Agriculture, Faisalabad15
TL;DR: It is argued that cattle migration, movement and trading followed by admixture have been important forces in shaping modern bovine genomic variation.
Abstract: The domestication and development of cattle has considerably impacted human societies, but the histories of cattle breeds and populations have been poorly understood especially for African, Asian, and American breeds. Using genotypes from 43,043 autosomal single nucleotide polymorphism markers scored in 1,543 animals, we evaluate the population structure of 134 domesticated bovid breeds. Regardless of the analytical method or sample subset, the three major groups of Asian indicine, Eurasian taurine, and African taurine were consistently observed. Patterns of geographic dispersal resulting from co-migration with humans and exportation are recognizable in phylogenetic networks. All analytical methods reveal patterns of hybridization which occurred after divergence. Using 19 breeds, we map the cline of indicine introgression into Africa. We infer that African taurine possess a large portion of wild African auroch ancestry, causing their divergence from Eurasian taurine. We detect exportation patterns in Asia and identify a cline of Eurasian taurine/indicine hybridization in Asia. We also identify the influence of species other than Bos taurus taurus and B. t. indicus in the formation of Asian breeds. We detect the pronounced influence of Shorthorn cattle in the formation of European breeds. Iberian and Italian cattle possess introgression from African taurine. American Criollo cattle originate from Iberia, and not directly from Africa with African ancestry inherited via Iberian ancestors. Indicine introgression into American cattle occurred in the Americas, and not Europe. We argue that cattle migration, movement and trading followed by admixture have been important forces in shaping modern bovine genomic variation.
343 citations
••
TL;DR: In this article, gas adsorption isotherms of methane, nitrogen and CO2 were measured on a New Albany shale sample from the Illinois basin, where as-received samples were used for measurements at 328.2 K and pressures to 12.4 MPa.
342 citations
••
TL;DR: This work proposes several strategies for utilizing external data (such as might be obtained using GIS) to aid in the completion of species lists, and demonstrates the potential of these approaches using simulation and case studies from Oklahoma.
Abstract: A substantial body of literature has accumulated on the topic of the estimation of species richness by extrapolation. However, most of these methods rely on an objective sampling of nature. This condition is difficult to meet and seldom achieved for large regions. Furthermore, scientists conducting biological surveys often already have preliminary but subjectively gathered species lists, and would like to assess the completeness of such lists, and/or to find a way to perfect them. We propose several strategies for utilizing external data (such as might be obtained using GIS) to aid in the completion of species lists. These include: (i) using existing species lists to develop predictive models; (ii) using the uniqueness of the environment as a guide to find underrepresented species; (iii) using spectral heterogeneity to locate environmentally heterogeneous regions; (iv) combining surveys with statistical model-building in an iterative manner. We demonstrate the potential of these approaches using simulation and case studies from Oklahoma. Copyright © 2002 John Wiley & Sons, Ltd.
342 citations
Authors
Showing all 18403 results
Name | H-index | Papers | Citations |
---|---|---|---|
Gerald I. Shulman | 164 | 579 | 109520 |
James M. Tiedje | 150 | 688 | 102287 |
Robert J. Sternberg | 149 | 1066 | 89193 |
Josh Moss | 139 | 1019 | 89255 |
Brad Abbott | 137 | 1566 | 98604 |
Itsuo Nakano | 135 | 1539 | 97905 |
Luis M. Liz-Marzán | 132 | 616 | 61684 |
Flera Rizatdinova | 130 | 1242 | 89525 |
Bernd Stelzer | 129 | 1209 | 81931 |
Alexander Khanov | 129 | 1219 | 87089 |
Dugan O'Neil | 128 | 1000 | 80700 |
Michel Vetterli | 128 | 901 | 76064 |
Josu Cantero | 126 | 846 | 73616 |
Nicholas A. Kotov | 123 | 574 | 55210 |
Wei Chen | 122 | 1946 | 89460 |