Relative ranking

2020 ◽  
pp. 71-78
Author(s):  
Frank Crawley
Keyword(s):  
Relative Ranking

Four indicators of socioeconomic position: relative ranking across causes of death

2005 ◽  
Vol 33 (3) ◽  
pp. 215-221 ◽  
Author(s):  
Øyvind Næss ◽  
Bjørgulf Claussen ◽  
Dag S. Thelle ◽  
George Davey Smith
Keyword(s):  
Socioeconomic Position ◽  
Causes Of Death ◽  
Relative Ranking

Optimality-Theoretic Lexical Mapping Theory

2009 ◽  
pp. 2499-2528
Author(s):  
One-Soon Her
Keyword(s):  
Argument Structure ◽  
Language Variation ◽  
Grammatical Function ◽  
Potential Explanation ◽  
Relative Ranking ◽  
The Difference ◽  
Locative Inversion ◽  
Mapping Theory ◽  
Lexical Mapping ◽  
Function Assignment

Locative inversion verbs seem to share the same argument structure and grammatical function assignment (i.e., ) cross-linguistically. This article discusses the nature of argument-function linking in LFG and demonstrates how the Lexical Mapping Theory (LMT) rendered in Optimality-Theoretic (OT) terms, where argument-function linking is governed by universal violable constraints that consistently favor the unmarked function, accounts for locative inversion straightforwardly. Within this OT-LMT, locative inversion is due to a universal morphosyntactic constraint, and language variation in locative inversion is due to the difference in its relative ranking. This account also offers a potential explanation for the markedness of the locative inversion construction.

THE INFLUENCE OF MINERAL NUTRITION ON THE EXPRESSION OF TRAITS ASSOCIATED WITH WINTERHARDINESS OF TWO WINTER WHEAT (Triticum aestivum L.) CULTIVARS

1990 ◽  
Vol 70 (2) ◽  
pp. 443-454 ◽  
Author(s):  
P. RICHARD HETHERINGTON ◽  
BRYAN D. McKERSIE ◽  
LISA C. KEELER
Keyword(s):  
Triticum Aestivum ◽  
Low Temperature ◽  
Moisture Content ◽  
Winter Wheat ◽  
Mineral Nutrition ◽  
Triticum Aestivum L ◽  
Relative Ranking ◽  
Acclimation Period ◽  
Ice Encasement ◽  
Nutrient Solutions

Two winter wheat (Triticum aestivum L.) cultivars, Fredrick and Norstar, which differ in their winterhardiness potential, were compared with regard to the effects of nitrogen (N), phosphorus (P) and potassium (K) application, during acclimation, on the expression of four traits associated with winterhardiness — freezing, ice-encasement, and low temperature flooding tolerances and crown moisture content. Modified Hoagland’s nutrient solutions containing five levels of each nutrient were applied to the seedlings during a 5-wk acclimation period at 2 °C, and subsequently the crowns were tested for their ability to survive varying intensities of the stress treatments. Increasing the level of applied N from 0, caused a reduction in the level of all stress tolerances. Increased P did not significantly alter the expression of freezing tolerance, but tended to increase tolerance of the anaerobic stresses, icing and low temperature flooding, to an optimum. Increased K had minimal effects on stress tolerance at the levels tested. Increased levels of each nutrient increased crown moisture content. The cultivar Norstar was consistently more tolerant of freezing and icing stress than Fredrick and this relative ranking was not influenced by mineral nutrition. However, the relative ranking for low temperature flooding tolerance varied depending on the nutrients provided to the seedlings. The results suggest that environmental and growth regulatory factors which influence the uptake of mineral nutrients would be expected to influence crown moisture content, and the expression of stress tolerance.Key words: Freezing, ice-encasement, flooding

It's all relative: ranking the diversity of aquatic bacterial communities

2008 ◽  
Vol 10 (9) ◽  
pp. 2200-2210 ◽  
Author(s):  
Allison K. Shaw ◽  
Aaron L. Halpern ◽  
Karen Beeson ◽  
Bao Tran ◽  
J. Craig Venter ◽  
...  
Keyword(s):  
Bacterial Communities ◽  
Relative Ranking

scholarly journals Intsia bijuga Is Moderately Tolerant of Flooding

HortScience ◽  
1996 ◽  
Vol 31 (4) ◽  
pp. 649c-649
Author(s):  
Thomas E. Marler ◽  
Louann C. Guzman
Keyword(s):  
Gas Exchange ◽  
Adventitious Roots ◽  
Leaf Gas Exchange ◽  
Physiological Responses ◽  
Flood Tolerance ◽  
Water Line ◽  
Relative Ranking ◽  
Relative Tolerance ◽  
Stems And Leaves

Growth and physiological responses of Intsia bijuga trees to flooding were determined in a series of five container experiments to assess the relative tolerance of this species to flooding. The first measurable response to flooding was reduced leaf gas exchange, which began within 5 to 6 days of the onset of flooding. Development of hypertrophied lenticels at the water line and paraheliotropic leaflet movement were evident by 17 days of flooding. Emergence of adventitious roots on the stem above the water line began after about 30 days of flooding. Leaflet abscission was greatly accelerated by flooding. After more than 3 months of flooding, regrowth of roots, stems, and leaves began within two weeks of draining the medium. The data and observations support a relative ranking of moderate flood tolerance for Intsia bijuga.

scholarly journals 2007 Farm Bill Survey: Characteristics of Southern Producers

EDIS ◽  
2007 ◽  
Vol 2007 (11) ◽  
Author(s):  
Rodney L. Clouser ◽  
Nathan B. Smith ◽  
Michele C. Marra ◽  
James L. Novak
Keyword(s):  
Resource Economics ◽  
Land Ownership ◽  
Government Programs ◽  
Farm Bill ◽  
Fact Sheet ◽  
Relative Ranking

FE686, an 8-page fact sheet by Rodney L. Clouser, Nathan B. Smith, Michele C. Marra, and James L. Novak, describes the demographics and education of participants in the survey, as well as their relative ranking of farm bill goals, their sales and income, past participation in government programs, and land ownership and use. Includes tables and references. Published by the UF Department of Food and Resource Economics, March 2007.

Quantifying Risk to Optimize Facility Integrity Management

2020 ◽  
Author(s):  
Alex Nemeth ◽  
Lily Li ◽  
Andrew Nielsen ◽  
Geoff Vignal
Keyword(s):  
Decision Making ◽  
Cost Benefit Analysis ◽  
Risk Mitigation ◽  
Cost Benefit ◽  
Storage Condition ◽  
Pipe System ◽  
Relative Ranking ◽  
Integrity Management ◽  
Dollar Amount ◽  
The Right

Abstract Effective asset integrity management is supported through the understanding of the condition of the asset, and the quantification of the safety and uncertainty of its properties. Risk based and risk informed decision making can help operators prioritize inspections and repairs on mainline pipe, as well as within operator facilities. Setting operator system specific targets for reliability and risk can help operators better understand the condition of their system, and provide one means of determining whether integrity action or other risk treatment is required on a specific asset, either on the mainline pipe system or on a facility asset system. While mainline pipe condition is better understood through the use of inline inspection technology and non-destructive examination in the field, facility piping and storage condition is more difficult to understand due to the complexity and number of segments of assets within an operator’s facility, as well as the unpiggable nature of the majority of facility piping. To help resolve this issue, a risk quantification can be done for each segmented asset within a facility. A relative ranking of asset risks can help prioritize facility integrity activities and drive the planning and execution optimization. However, simply looking at a relative ranking of asset risks may not be enough to maximize risk reduction and achieve safety and reliability targets. This paper looks to expand on the implementation of Risk Based Inspection (RBI) standard in API 581 and explore more broadly how facility asset risk results can be used in integrity planning and decision making. The paper also examines the application of using finance principals to better quantify risk and carry out a meaningful cost benefit analysis to optimize integrity programs. Interpreting a quantified risk dollar amount is an industry challenge, and shedding light onto the value of applying reliability and risk models beyond the safety of an operator’s system can be extremely beneficial for operators to enhance cost efficiency. The quantification of risk helps support the optimization of spend and resource allocation to bring efficiencies into integrity management systems while maintaining focus on the right risk mitigation across an operator’s system.

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