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您的检索式：作者名="Daniel D.Johnson"
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| 1 | Modelling the potential consequences of adaptive closure management in a penaeid trawl fishery显示文摘Spatial management of fishing effort can be used to avoid catching undesirable size classes for target species,and improve yield-per-recruit for the exploited stock.Adaptive closure management has been proposed as a means to more effectively utilise spatial management,however these management provisions often lack quantitative evaluation which constrains the information available to inform decisions.We demonstrate the use of a spatially and size structured population dynamics model to evaluate the potential impact of spatial management on a multijurisdictional fishery for a highly migratory species(eastern king prawn,Penaeus[Melicertus]plebejus).Under current conditions in the fishery,the overall effect of closures on harvest was estimated to be comparatively minor,regardless of assumptions about how effort or fisher behavior are affected by spatial management.Alternative assumptions about the movement patterns of eastern king prawn had little influence on the impact of closures on overall harvest.However,when effort was increased to historic levels similar to those observed when the closures were implemented,a much greater impact on overall harvest was observed.The approach taken and simulation outcomes are discussed in the context of spatial management for both eastern king prawn,and penaeid fisheries more broadly. | Edward V.Camp Daniel D.Johnson Matthew D.Taylor | 2023 | Aquaculture and Fisheries2023，8，2： | 0 |
| 2 | Disease momentum: Estimating the reproduction number in the presence of superspreading显示文摘A primary quantity of interest in the study of infectious diseases is the average number of new infections that an infected person produces.This so-called reproduction number has significant implications for the disease progression.There has been increasing literature suggesting that superspreading,the significant variability in number of new infections caused by individuals,plays an important role in the spread of SARS-CoV-2.In this paper,we consider the effect that such superspreading has on the estimation of the reproduction number and subsequent estimates of future cases.Accordingly,we employ a simple extension to models currently used in the literature to estimate the reproduction number and present a case-study of the progression of COVID-19 in Austria.Our models demonstrate that the estimation uncertainty of the reproduction number increases with superspreading and that this improves the performance of prediction intervals.Of independent interest is the derivation of a transparent formula that connects the extent of superspreading to the width of credible intervals for the reproduction number.This serves as a valuable heuristic for understanding the uncertainty surrounding diseases with superspreading. | Kory D.Johnson Mathias Beiglböck Manuel Eder Annemarie Grass Joachim Hermisson Gudmund Pammer Jitka Polechova Daniel Toneian Benjamin Wölfl | 2021 | Infectious Disease Modelling2021，6，1： | 0 |
| 3 | Design of refractory multi-principal-element alloys for high-temperature applications显示文摘Refractory multi-principal-element alloys(RMPEAs)exhibit high specific strength at elevated temperatures(T).However,current RMPEAs lack a balance of room-temperature(RT)ductility,high-T strength,and high-T creep resistance.Using density-functional theory methods,we scanned composition space using four criteria:(1)formation energies for operational stability:-150250 GPa;(3)inverse Pugh ratio for ductility:G/B<0.57;and(4)high melting points:T_(m)>2500°C.Using rapid bulk alloy synthesis and characterization,we validated theory and down-selected promising alloy compositions and discovered Mo72.3W12.8Ta10.0Ti2.5Zr2.5 having well-balanced RT and high-T mechanical properties.This alloy has comparable high-T compressive strength to well-known MoNbTaW but is more ductile and more creep resistant.It is also superior to a commercial Mo-based refractory alloy and a nickel-based superalloy(Haynes-282)with improved high-T tensile strength and creep resistance. | Gaoyuan Ouyang Prashant Singh Ranran Su Duane D.Johnson Matthew J.Kramer John H.Perepezko Oleg N.Senkov Daniel Miracle Jun Cui | 2023 | npj Computational Materials2023，，1： | 0 |
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