Quantitative Relationship Between Sticky Trap Catch and Beat Tray Counts of Pear Psylla (Homoptera: Psyllidae): Seasonal, Sex, and Morphotypic Effects

1997 ◽  
Vol 90 (1) ◽  
pp. 170-177 ◽  
Author(s):  
David R. Horton ◽  
Tamera M. Lewis
Keyword(s):  
Quantitative Relationship ◽  
Sticky Trap ◽  
Trap Catch ◽  
Pear Psylla

DIURNAL PATTERNS IN YELLOW TRAP CATCH OF PEAR PSYLLA (HOMOPTERA: PSYLLIDAE): DIFFERENCES BETWEEN SEXES AND MORPHOTYPES

1993 ◽  
Vol 125 (4) ◽  
pp. 761-767 ◽  
Author(s):  
David R. Horton
Keyword(s):  
Sex Ratio ◽  
Life Stage ◽  
Sticky Trap ◽  
Trap Catch ◽  
Male Bias ◽  
Diurnal Patterns ◽  
Pear Psylla ◽  
Female Bias ◽  
Yellow Sticky Trap ◽  
Trap Catches

AbstractDiumal patterns in yellow sticky trap catch of pear psylla, Cacopsylla pyricola Foerster, are described for the spring (reproductive) winterform generation, summerforms, and the fall (diapausing/dispersing) winterform generation. For each life stage, trap catch of the two sexes is also compared, and sex ratios on sticky traps are contrasted with independent estimates of population sex ratio obtained by beat tray samples. Beat tray estimates of sex ratio showed a slight male bias for both winterform generations (although P = 0.09 for spring winterforms), and a female bias for the summerform samples. Sticky trap catches were significantly male biased for the reproductive generations (i.e. spring winterforms and summerforms). Trap catches of fall winterforms were not different from a 1:1 ratio. The male bias for the reproductive generations may be due to mate-seeking activities of males or to a decrease in activity by egg-laden females. Peak catch for summerforms occurred in the morning, and that of both winter-form generations occurred at midday. There was no evidence that trapping depleted local densities of psylla during a 24-h period.

A Tight Connection Among Wealth, Income, Sustainability, and Accounting in an Ultra-Simplified Setting

2017 ◽  
Author(s):  
Martin L. Weitzman
Keyword(s):  
Economic Theory ◽  
Quantitative Relationship ◽  
Theoretical Relationship ◽  
Level Of Abstraction ◽  
Tight Connection ◽  
Basic Concepts ◽  
High Level ◽  
Very High

In theory, and under some very strong assumptions, there exists a tight quantitative relationship among the following four fundamental economic concepts: (1) ‘wealth’; (2) ‘income’; (3) ‘sustainability’; (4) ‘accounting’. These four basic concepts are placed in quotation marks here because a necessary first step will be to carefully and rigorously define what exactly is meant by each. This chapter reviews what is known about this important fourfold quantitative relationship in an ultra-simplified setting. It identifies some basic applications of this simplified economic theory of wealth and income (and sustainability and accounting). While the contents of this chapter are expressed at a very high level of abstraction and require many restrictive assumptions, the fundamental fourfold relationship it sharply highlights should be useful for conceptualizing, at least in principle, what is ‘wealth’ and what is its theoretical relationship to ‘income’, ‘sustainability’, and ‘accounting’.

scholarly journals The Dynamic Response of Nitrogen Transformation to the Dissolved Oxygen Variations in the Simulated Biofilm Reactor

2021 ◽  
Vol 18 (7) ◽  
pp. 3633
Author(s):  
Qianqian Lu ◽  
Nannan Zhang ◽  
Chen Chen ◽  
Miao Zhang ◽  
Dehua Zhao ◽  
...  
Keyword(s):  
Dissolved Oxygen ◽  
Copy Number ◽  
Stable State ◽  
Quantitative Relationship ◽  
Nitrogen Transformation ◽  
Biofilm Reactor ◽  
Short Term ◽  
Nirs Gene ◽  
Biofilm Reactors ◽  
Recovery Times

Lab-scale simulated biofilm reactors, including aerated reactors disturbed by short-term aeration interruption (AE-D) and non-aerated reactors disturbed by short-term aeration (AN-D), were established to study the stable-state (SS) formation and recovery after disturbance for nitrogen transformation in terms of dissolved oxygen (DO), removal efficiency (RE) of NH4+-N and NO3−-N and activity of key nitrogen-cycle functional genes amoA and nirS (RNA level abundance, per ball). SS formation and recovery of DO were completed in 0.56–7.75 h after transition between aeration (Ae) and aeration stop (As). In terms of pollutant REs, new temporary SS formation required 30.7–52.3 h after Ae and As interruptions, and seven-day Ae/As interruptions required 5.0% to 115.5% longer recovery times compared to one-day interruptions in AE-D and AN-D systems. According to amoA activity, 60.8 h were required in AE-D systems to establish new temporary SS after As interruptions, and RNA amoA copies (copy number/microliter) decreased 88.5%, while 287.2 h were required in AN-D systems, and RNA amoA copies (copy number/microliter) increased 36.4 times. For nirS activity, 75.2–85.8 h were required to establish new SSs after Ae and As interruptions. The results suggested that new temporary SS formation and recovery in terms of DO, pollutant REs and amoA and nirS gene activities could be modelled by logistic functions. It is concluded that temporary SS formation and recovery after Ae and As interruptions occurred at asynchronous rates in terms of DO, pollutant REs and amoA and nirS gene activities. Because of DO fluctuations, the quantitative relationship between gene activity and pollutant RE remains a challenge.

Improved Aedes/dengue field surveillance using Gravid Oviposition Sticky trap and dengue NS1 tests: Epidemiological, entomological outcomes and community acceptance

Acta Tropica ◽  
2021 ◽  
Vol 216 ◽  
pp. 105829
Author(s):  
Jonathan Wee Kent Liew ◽  
Sivaneswari Selvarajoo ◽  
Wei Kit Phang ◽  
Mukhainizam Mah Hassan ◽  
Mohd Sabri Redzuan ◽  
...  
Keyword(s):  
Sticky Trap ◽  
Community Acceptance

scholarly journals Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Arian Ashourvan ◽  
Preya Shah ◽  
Adam Pines ◽  
Shi Gu ◽  
Christopher W. Lynn ◽  
...  
Keyword(s):  
White Matter ◽  
Maximum Entropy ◽  
Large Scale ◽  
Structural Connectivity ◽  
Quantitative Relationship ◽  
Brain Regions ◽  
Maximum Entropy Model ◽  
Entropy Model ◽  
Activation Patterns ◽  
Co Activation

AbstractA major challenge in neuroscience is determining a quantitative relationship between the brain’s white matter structural connectivity and emergent activity. We seek to uncover the intrinsic relationship among brain regions fundamental to their functional activity by constructing a pairwise maximum entropy model (MEM) of the inter-ictal activation patterns of five patients with medically refractory epilepsy over an average of ~14 hours of band-passed intracranial EEG (iEEG) recordings per patient. We find that the pairwise MEM accurately predicts iEEG electrodes’ activation patterns’ probability and their pairwise correlations. We demonstrate that the estimated pairwise MEM’s interaction weights predict structural connectivity and its strength over several frequencies significantly beyond what is expected based solely on sampled regions’ distance in most patients. Together, the pairwise MEM offers a framework for explaining iEEG functional connectivity and provides insight into how the brain’s structural connectome gives rise to large-scale activation patterns by promoting co-activation between connected structures.

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