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Advances in Ordinary Kriging Using the Stampede and Bridges Supercomputers 被引量:1
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作者 Erin M. Hodgess Kendra Mhoon 《Journal of Geological Resource and Engineering》 2018年第1期14-18,共5页
A new approach for the implementation of variogram models and ordinary kriging using the R statistical language, in conjunction with Fortran, the MPI (Message Passing Interface), and the "pbdDMAT" package within R... A new approach for the implementation of variogram models and ordinary kriging using the R statistical language, in conjunction with Fortran, the MPI (Message Passing Interface), and the "pbdDMAT" package within R on the Bridges and Stampede Supercomputers will be described. This new technique has led to great improvements in timing as compared to those in R alone, or R with C and MPI. These improvements include processing and forecasting vectors of size 25,000 in an average time of 6 minutes on the Stampede Supercomputer and 2.5 minutes on the Bridges Supercomputer as compared to previous processing times of 3.5 hours. 展开更多
关键词 KRIGING GEOSTATISTICS high performance computing.
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Algorithms and Identities for(q, h)-Bernstein Polynomials and(q, h)-Bézier Curves–A Non-Blossoming Approach
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作者 Ilija Jegdic Jungsook Larson Plamen Simeonov 《Analysis in Theory and Applications》 CSCD 2016年第4期373-386,共14页
We establish several fundamental identities, including recurrence relations, degree elevation formulas, partition of unity and Marsden identity, for quantum Bernstein bases and quantum Bezier curves. We also develop t... We establish several fundamental identities, including recurrence relations, degree elevation formulas, partition of unity and Marsden identity, for quantum Bernstein bases and quantum Bezier curves. We also develop two term recurrence relations for quantum Bernstein bases and recursive evaluation algorithms for quantum Bezier curves. Our proofs use standard mathematical induction and other elementary techniques. 展开更多
关键词 Bernstein polynomials Bezier curves Marsden's identity recursive evaluation.
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Reduced Cataplexy Symptoms While on Suboxone: A Case Report
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作者 Nathan B. Omari Ngugi M. Kinyungu 《Journal of Behavioral and Brain Science》 CAS 2022年第11期548-551,共4页
Background: Narcolepsy type 1 is a sleep disorder characterized by excessive sleepiness along with cataplexy and/or hypocretin deficiency. We present a case of narcolepsy type 1 in which the cataplexy symptoms were re... Background: Narcolepsy type 1 is a sleep disorder characterized by excessive sleepiness along with cataplexy and/or hypocretin deficiency. We present a case of narcolepsy type 1 in which the cataplexy symptoms were reduced while on suboxone. Aim: This case report aims to note the reduction of cataplexy symptoms with suboxone. Case Presentation: A 39-year-old female patient with narcolepsy type 1 was referred to our pain clinic for management with suboxone. The patient had tried various other medications for the management of narcolepsy. With opioid management, the patient reported reduced cataplexy symptoms. Conclusion: The case illustrates the scientific thought that opioids could increase hypocretin and reduce symptoms in narcolepsy type 1. 展开更多
关键词 NARCOLEPSY CATAPLEXY Suboxone SLEEP Muscle TONE
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Temporal Disaggregation of Time Series Revisited
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作者 Erin M. Hodgess Kendra Mhoon 《Management Studies》 2019年第4期293-299,共7页
With the benefits of increased computing power and much improved software,temporal disaggregation is examined.Disaggregation,the process of obtaining high frequency data from low frequency data has been discussed for ... With the benefits of increased computing power and much improved software,temporal disaggregation is examined.Disaggregation,the process of obtaining high frequency data from low frequency data has been discussed for many years.This study examines three methods which utilize the autoregressive integrated moving average(ARIMA)model in a simulation study comparing parameter estimation,disaggregation mean square error,and forecast mean square error.Finally,the three methods are applied to a real-world time series. 展开更多
关键词 DISAGGREGATION AGGREGATION ARIMA
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