A Comparison of Live-Hooked Persistence Time between Non-Native and Native Baitfish in Arizona

2019 ◽  
Vol 48 (1-2) ◽  
pp. 218
Author(s):  
Ethan Mower ◽  
Lorraine Avenetti
Keyword(s):  
Persistence Time

EXPRESS: Laser-Induced Breakdown Spectroscopy (LIBS) Combined with Temporal Plasma Analysis of C2 Molecular Emission for Carbon Analysis in Coal

2021 ◽  
pp. 000370282110123
Author(s):  
Hemalaxmi Rajavelu ◽  
Nilesh J Vasa ◽  
Satyanarayanan Seshadri
Keyword(s):  
Elemental Carbon ◽  
Partial Least Square ◽  
Laser Induced Breakdown Spectroscopy ◽  
Nanosecond Laser ◽  
Calibration Model ◽  
Breakdown Spectroscopy ◽  
Persistence Time ◽  
Relative Standard ◽  
Laser Induced Breakdown ◽  
Spectral Intensities

A benchtop Laser-Induced Breakdown Spectroscopy (LIBS) is demonstrated to determine the elemental carbon content present in raw coal used for combustion in power plants. The spectral intensities of molecular CN and C2 emission are measured together with the atomic carbon (C) and other inorganic elements (Si, Fe, Mg, Al, Ca, Na, and K) in the LIBS spectrum of coal. The emission persistence time of C2 molecule emission is measured from the coal plasma generated by a nanosecond laser ablation with a wavelength of 266 nm in the Ar atmosphere. The emission persistence time of molecular C2 emission along with the spectral intensities of major ash elements (Fe, Si, Al, and Ca) and carbon emissions (atomic C, molecular CN, and C2) shows a better relationship with the carbon wt% of different coal samples. The calibration model to measure elemental carbon (wt%) is developed by combining the spectral characteristics (Spectral intensity) and the temporal characteristics (Emission persistence time of C2 molecule emission). The temporal characteristic studies combined with the spectroscopic data in the PLSR (Partial Least Square Regression) model has resulted in an improvement in the root mean square error of validation (RMSEV), and the relative standard deviation (RSD) is reduced from 10.86% to 4.12% and from 11.32% to 6.04%, respectively.

Comparing Mutational Variabilities

Genetics ◽  
1996 ◽  
Vol 143 (3) ◽  
pp. 1467-1483 ◽  
Author(s):  
David Houle ◽  
Bob Morikawa ◽  
Michael Lynch
Keyword(s):  
Life History ◽  
Morphological Traits ◽  
Life History Traits ◽  
Genetic Variance ◽  
Balance Model ◽  
Phenotypic Traits ◽  
Infinite Population ◽  
Persistence Time ◽  
Coefficients Of Variation ◽  
Balance Hypothesis

Abstract We have reviewed the available data on VM, the amount of genetic variation in phenotypic traits produced each generation by mutation. We use these data to make several qualitative tests of the mutation-selection balance hypothesis for the maintenance of genetic variance (MSB). To compare VM values, we use three dimensionless quantities: mutational heritability, the mutational coefficient of variation, CVM; and the ratio of the standing genetic variance to VM, VG/VM. Since genetic coefficients of variation for life history traits are larger than those for morphological traits, we predict that under MSB, life history traits should also have larger CVM. This is confirmed; life history traits have a median CVM value more than six times higher than that for morphological traits. VG/VM approximates the persistence time of mutations under MSB in an infinite population. In order for MSB to hold, VG/VM must be small, substantially less than 1000, and life history traits should have smaller values than morphological traits. VG/VM averages about 50 generations for life history traits and 100 generations for morphological traits. These observations are all consistent with the predictions of a mutation-selection balance model.

scholarly journals Evolutionary responses to environmental change: trophic interactions affect adaptation and persistence

2015 ◽  
Vol 282 (1805) ◽  
pp. 20141351 ◽  
Author(s):  
Jarad P. Mellard ◽  
Claire de Mazancourt ◽  
Michel Loreau
Keyword(s):  
Climate Change ◽  
Head Start ◽  
Trophic Interactions ◽  
Evolutionary Dynamics ◽  
Plant Interaction ◽  
Persistence Time ◽  
Plant Persistence ◽  
Plant Herbivore Interaction ◽  
Plant Herbivore ◽  
Herbivore Interaction

According to recent reviews, the question of how trophic interactions may affect evolutionary responses to climate change remains unanswered. In this modelling study, we explore the evolutionary dynamics of thermal and plant–herbivore interaction traits in a warming environment. We find the herbivore usually reduces adaptation speed and persistence time of the plant by reducing biomass. However, if the plant interaction trait and thermal trait are correlated, herbivores can create different coevolutionary attractors. One attractor has a warmer plant thermal optimum, and the other a colder one compared with the environment. A warmer plant thermal strategy is given a head start under warming, the only case where herbivores can increase plant persistence under warming. Persistence time of the plant under warming is maximal at small or large thermal niche width. This study shows that considering trophic interactions is necessary and feasible for understanding how ecosystems respond to climate change.

scholarly journals Persistence-time estimation for some stochastic SIS epidemic models

2015 ◽  
Vol 20 (9) ◽  
pp. 2933-2947 ◽  
Author(s):  
Francisco de la Hoz ◽  
Anna Doubova ◽  
Fernando Vadillo
Keyword(s):  
Time Estimation ◽  
Epidemic Models ◽  
Persistence Time ◽  
Sis Epidemic

scholarly journals Global Analysis of Burned Area Persistence Time with MODIS Data

2018 ◽  
Vol 10 (5) ◽  
pp. 750 ◽  
Author(s):  
Andrea Melchiorre ◽  
Luigi Boschetti
Keyword(s):  
Global Analysis ◽  
Burned Area ◽  
Modis Data ◽  
Persistence Time

Antipsychotic utilisation and persistence in Australia: A nationwide 5-year study

2021 ◽  
pp. 000486742110516
Author(s):  
Mark Taylor ◽  
Dante Dangelo-Kemp ◽  
Dennis Liu ◽  
Steve Kisely ◽  
Simon Graham ◽  
...  
Keyword(s):  
First Generation ◽  
Second Generation ◽  
Treatment Persistence ◽  
Persistence Time ◽  
Hazard Ratios ◽  
Second Generation Antipsychotics ◽  
Time In Treatment ◽  
Second Generation Antipsychotic ◽  
Long Acting ◽  
Subsequent Relapse

Objectives: To evaluate the utilisation and persistence of antipsychotics for the treatment of schizophrenia in Australia. Methods: A retrospective study using the Australian Pharmaceutical Benefits Scheme database of a representative 10% sample. All adults with schizophrenia who were dispensed three or more supplies of oral (including clozapine) or long-acting injectable antipsychotics between 1 June 2015 and 31 May 2020 were included. Persistence time in treatment was evaluated using survival analysis and Cox hazard ratios. Results: In all, 26,847 adults with schizophrenia were studied. Oral second-generation antipsychotics were more frequently dispensed than the other antipsychotic groups studied. Median treatment persistence times were 18.3 months for second-generation antipsychotic long-acting injectables, 10.7 months for oral second-generation antipsychotics and were significantly lower for both formulations of first-generation antipsychotics at 5.2 months (long-acting injectables) and 3.7 months (oral). The median persistence time for clozapine was significantly longer than all other antipsychotics groups. Conclusions: Oral second-generation antipsychotics and second-generation antipsychotic long-acting injectables accounted for over 75% and 13% of all antipsychotics in Australia, respectively. Concerns over medication adherence and subsequent relapse have not translated into increased long-acting injectable usage despite their significantly longer persistence. Clozapine, the single most ‘persistent’ antipsychotic, was only used in 9% of people, although up to a third of all cases are likely to be treatment-resistant. Our data suggest clinicians should give consideration to the earlier use of second-generation antipsychotic long-acting injectables and clozapine, to ameliorate prognosis in schizophrenia.

Decay rate and persistence time of Cape buffalo ( Syncerus caffer caffer ) dung in the forest of Western Ethiopia

2019 ◽  
Vol 57 (3) ◽  
pp. 448-452
Author(s):  
Mosissa Geleta Erena ◽  
Habte Jebessa Debella ◽  
Afework Bekele
Keyword(s):  
Decay Rate ◽  
Syncerus Caffer ◽  
Persistence Time ◽  
Cape Buffalo ◽  
Western Ethiopia
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