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9篇 您的检索式：作者名="Kenneth JO"

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		题名	作者	年代	出处	被引量
	1	Using Personal Traces in Context Space显示文摘	Odd-Wiking Rahlff1 Rolf Kenneth Rolfsen Jo Herstad	2001	Towards Context Trace Technology Personal and Ubiquitous Computing2001，，5：	1
	2	Using Personal Traces in Context Space显示文摘	ODD-WIKING RAHLFFL ROLF KENNETH ROLFSEN JO HERSTAD	2001	Towards Context Trace Technology Personal and Ubiquitous Computing2001，，5：	1
	3	Color distribution of three regions of extracted human teeth显示文摘	William Jo Henry H Kenneth MB	1997	J Dent Master1997，13，：	1
	4	Evaluation of parameters affecting quantitative detection of Escherichia coli O157 in enriched water samples using immunomagnetic electrochemiluminescence显示文摘	Daniel R Shelton Jo Ann S Van Kessel Marian R Wachtel Kenneth T Belt Jeffrey S Karns	2003	Journal of Microbiological Methods2003，，3：	1
	5	Epidemiology of prostate cancer: molecular and environmental clues 显示文摘	Kenneth JP Jo AJ Peggy SE	1996	Urology1996，48，5：	1
	6	Color distribution of three regions of extracted human teeth 显示文摘	William JO Henry H Kenneth MB	1997	J Dent Mater1997，13，：	1
	7	Midgut bacteria required for Bacillus thuringiensis insecticidal activity 显示文摘	Nichole A Broderick Kenneth F Raffa Jo Handelsman	2006	Proc Natl Acad Sci USA2006，103，15：	1
	8	Estimating traffic volume on Wyoming low volume roads using linear and logistic regression methods显示文摘Traffic volume is an important parameter in most transportation planning applications.Low volume roads make up about 69%of road miles in the United States.Estimating traffic on the low volume roads is a cost-effective alternative to taking traffic counts.This is because traditional traffic counts are expensive and impractical for low priority roads.The purpose of this paper is to present the development of two alternative means of costeffectively estimating traffic volumes for low volume roads in Wyoming and to make recommendations for their implementation.The study methodology involves reviewing existing studies,identifying data sources,and carrying out the model development.The utility of the models developed were then verified by comparing actual traffic volumes to those predicted by the model.The study resulted in two regression models that are inexpensive and easy to implement.The first regression model was a linear regression model that utilized pavement type,access to highways,predominant land use types,and population to estimate traffic volume.In verifying the model,an R^2 value of 0.64 and a root mean square error of 73.4%were obtained.The second model was a logistic regression model that identified the level of traffic on roads using five thresholds or levels.The logistic regression model was verified by estimating traffic volume thresholds and determining the percentage of roads that were accurately classified as belonging to the given thresholds.For the five thresholds,the percentage of roads classified correctly ranged from 79%to 88%.In conclusion,the verification of the models indicated both model types to be useful for accurate and cost-effective estimation of traffic volumes for low volume Wyoming roads.The models developed were recommended for use in traffic volume estimations for low volume roads in pavement management and environmental impact assessment studies.	Dick Apronti Khaled Ksaibati Kenneth Oerow Jaime Jo Hepner	2016	Journal of Traffic and Transportation Engineering(English Edition)2016，3，6：	1
	9	The effect of exercise training on elderly persons with cognitive impairment and dementia:A meta-analysis显示文摘	Patricia H Beatriz CA Kenneth JO	2004	Arch Phys Med Rehabil2004，85，2：	1

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