A contribution to appendage drag extrapolation using computational tools

In this paper, the foundations of the beta method, widely used in todays ship appendage extrapolations, are explored. The present work pretends to validate the Beta Method using experimental and computational tools. The ship used is a rounded bow tugboat with two significant appendages, namely, a midship protective structure for the propulsion system and a stern keel. The experimental and computational data was obtained through Towing Tank trials and a RANSE CFD code, respectively.

Boiling Nuclear Superheater (BONUS) Power Station : supplementary study: extrapolation to large central station intergral nuclear superheat plant /

"January 28, 1960."

Method of determining the coefficient of storage from straight-line plots without extrapolation /

Mode of access: Internet.

Extrapolation, interpolation, and smoothing of stationary time series, with engineering applications.

"First published during the war as a classified report to Section D2, National Defense Research Committee."

Efficient numerical methods for the random-field Ising model: Finite-size scaling, reweighting extrapolation, and computation of response functions

It was recently shown [Phys. Rev. Lett. 110, 227201 (2013)] that the critical behavior of the random-field Ising model in three dimensions is ruled by a single universality class. This conclusion was reached only after a proper taming of the large scaling corrections of the model by applying a combined approach of various techniques, coming from the zero-and positive-temperature toolboxes of statistical physics. In the present contribution we provide a detailed description of this combined scheme, explaining in detail the zero-temperature numerical scheme and developing the generalized fluctuation-dissipation formula that allowed us to compute connected and disconnected correlation functions of the model. We discuss the error evolution of our method and we illustrate the infinite limit-size extrapolation of several observables within phenomenological renormalization. We present an extension of the quotients method that allows us to obtain estimates of the critical exponent a of the specific heat of the model via the scaling of the bond energy and we discuss the self-averaging properties of the system and the algorithmic aspects of the maximum-flow algorithm used.

A new method for resolving uncertainty of energy requirements in large water breathers: the ‘mega-flume’ seagoing swim-tunnel respirometer

Body size is a key determinant of metabolic rate, but logistical constraints have led to a paucity of energetics measurements from large water-breathing animals. As a result, estimating energy requirements of large fish generally relies on extrapolation of metabolic rate from individuals of lower body mass using allometric relationships that are notoriously variable. Swim-tunnel respirometry is the ‘gold standard’ for measuring active metabolic rates in water-breathing animals, yet previous data are entirely derived from body masses <10 kg – at least one order of magnitude lower than the body masses of many top-order marine predators. Here, we describe the design and testing of a new method for measuring metabolic rates of large water-breathing animals: a c. 26 000 L seagoing ‘mega-flume’ swim-tunnel respirometer. We measured the swimming metabolic rate of a 2·1-m, 36-kg zebra shark Stegostoma fasciatum within this new mega-flume and compared the results to data we collected from other S. fasciatum (3·8–47·7 kg body mass) swimming in static respirometers and previously published measurements of active metabolic rate measurements from other shark species. The mega-flume performed well during initial tests, with intra- and interspecific comparisons suggesting accurate metabolic rate measurements can be obtained with this new tool. Inclusion of our data showed that the scaling exponent of active metabolic rate with mass for sharks ranging from 0·13 to 47·7 kg was 0·79; a similar value to previous estimates for resting metabolic rates in smaller fishes. We describe the operation and usefulness of this new method in the context of our current uncertainties surrounding energy requirements of large water-breathing animals. We also highlight the sensitivity of mass-extrapolated energetic estimates in large aquatic animals and discuss the consequences for predicting ecosystem impacts such as trophic cascades.

A new method for resolving uncertainty of energy requirements in large water breathers: the ‘mega-flume’ seagoing swim-tunnel respirometer

Body size is a key determinant of metabolic rate, but logistical constraints have led to a paucity of energetics measurements from large water-breathing animals. As a result, estimating energy requirements of large fish generally relies on extrapolation of metabolic rate from individuals of lower body mass using allometric relationships that are notoriously variable. Swim-tunnel respirometry is the ‘gold standard’ for measuring active metabolic rates in water-breathing animals, yet previous data are entirely derived from body masses <10 kg – at least one order of magnitude lower than the body masses of many top-order marine predators. Here, we describe the design and testing of a new method for measuring metabolic rates of large water-breathing animals: a c. 26 000 L seagoing ‘mega-flume’ swim-tunnel respirometer. We measured the swimming metabolic rate of a 2·1-m, 36-kg zebra shark Stegostoma fasciatum within this new mega-flume and compared the results to data we collected from other S. fasciatum (3·8–47·7 kg body mass) swimming in static respirometers and previously published measurements of active metabolic rate measurements from other shark species. The mega-flume performed well during initial tests, with intra- and interspecific comparisons suggesting accurate metabolic rate measurements can be obtained with this new tool. Inclusion of our data showed that the scaling exponent of active metabolic rate with mass for sharks ranging from 0·13 to 47·7 kg was 0·79; a similar value to previous estimates for resting metabolic rates in smaller fishes. We describe the operation and usefulness of this new method in the context of our current uncertainties surrounding energy requirements of large water-breathing animals. We also highlight the sensitivity of mass-extrapolated energetic estimates in large aquatic animals and discuss the consequences for predicting ecosystem impacts such as trophic cascades.

An allometric modelling approach to identify the optimal body shape sssociated with, and differences between brazilian and peruvian youth motor performance

Children fromdevelopedanddevelopingcountriesdifferintheirbodysizeandshapedueto markeddifferencesacrosstheirlifehistorycausedbysocial,economicandculturaldifferenceswhicharealsolinkedtotheirmotorperformance(MP).Weusedallometricmodelsto identifysize/shapecharacteristicsassociatedwithMPtestsbetweenBrazilianandPeruvianschoolchildren.Atotalof4,560subjects,2,385girlsand2,175boysaged9–15years werestudied.Heightandweightweremeasured;biological maturation wasestimated with thematurityoffsettechnique;MPmeasuresincludedthe12minuterun(12MR),handgrip strength(HG),standinglongjump(SLJ)andtheshuttlerunspeed(SR)tests;physicalactivity(PA)wasassessedusingtheBaeckequestionnaire.Amultiplicativeallometricmodel wasadoptedtoadjustforbodysizedifferencesacrosscountries.Reciprocalponderalindex (RPI)wasfoundtobethemostsuitablebodyshapeindicatorassociatedwiththe12MR, SLJ,HGandSRperformance.Apositivematurationoffset parameterwasalsoassociated withabetterperformanceinSLJ,HGandSRtests.Sexdifferenceswerefoundinallmotor tests.BrazilianyouthshowedbetterscoresinMPthantheirPeruvianpeers,evenwhen controlling fortheirbodysizedifferencesThecurrentstudyidentifiedthekeybodysize associatedwithfourbodymass-dependentMPtests.Biological maturationandPAwere associatedwithstrengthandmotorperformance.Sexdifferenceswerefoundinallmotor tests,aswellasacrosscountriesfavoringBrazilianchildrenevenwhenaccountingfortheir bodysize/shapedifferences.

An allometric modelling approach to identify the optimal body shape associated with, and differences between brazilian and peruvian youth motor performance

Children fromdevelopedanddevelopingcountriesdifferintheirbodysizeandshapedueto markeddifferencesacrosstheirlifehistorycausedbysocial,economicandculturaldifferenceswhicharealsolinkedtotheirmotorperformance(MP).Weusedallometricmodelsto identifysize/shapecharacteristicsassociatedwithMPtestsbetweenBrazilianandPeruvianschoolchildren.Atotalof4,560subjects,2,385girlsand2,175boysaged9–15years werestudied.Heightandweightweremeasured;biological maturation wasestimated with thematurityoffsettechnique;MPmeasuresincludedthe12minuterun(12MR),handgrip strength(HG),standinglongjump(SLJ)andtheshuttlerunspeed(SR)tests;physicalactivity(PA)wasassessedusingtheBaeckequestionnaire.Amultiplicativeallometricmodel wasadoptedtoadjustforbodysizedifferencesacrosscountries.Reciprocalponderalindex (RPI)wasfoundtobethemostsuitablebodyshapeindicatorassociatedwiththe12MR, SLJ,HGandSRperformance.Apositivematurationoffset parameterwasalsoassociated withabetterperformanceinSLJ,HGandSRtests.Sexdifferenceswerefoundinallmotor tests.BrazilianyouthshowedbetterscoresinMPthantheirPeruvianpeers,evenwhen controlling fortheirbodysizedifferencesThecurrentstudyidentifiedthekeybodysize associatedwithfourbodymass-dependentMPtests.Biological maturationandPAwere associatedwithstrengthandmotorperformance.Sexdifferenceswerefoundinallmotor tests,aswellasacrosscountriesfavoringBrazilianchildrenevenwhenaccountingfortheir bodysize/shapedifferences.

Umbrella pine above ground biomass estimation with very high spatial resolution satellite images

Above ground biomass is frequently estimated with forest inventory data and an extrapolation method for the per unit area evaluations. This procedure is labour demanding and costly. In this study above ground biomass functions, whose independent variable is crown horizontal projection, were developed. Multi-resolution segmentation method and object-oriented classification, based on very high spatial resolution satellite images, were used to obtain the area of tree crown horizontal projection for umbrella pine (Pinus pinea L.). A set of inventory plots were measured and with existing allometric functions for this species above ground biomass per tree and per plot were calculated. The two data sets were used to fit linear functions both for individual plot and their cumulative values. The results show a good performance of the models. Errors smaller than 10% are obtained for stand areas greater than 1.4 ha. These functions have the advantages of estimating above ground biomass for all the area under study or surveillance, not requiring forest inventory; allow monitoring in short time periods; and are easily implemented in a geographical information system environment.