Haematological values of the multimammate mouse Praomys (Mastomys) Natalensis

1969 ◽  
Vol 3 (1) ◽  
pp. 27-33 ◽  
Author(s):  
K. Martin ◽  
D. A. Rutty
Keyword(s):  
Mastomys Natalensis ◽  
Confidence Limits ◽  
Haematological Values ◽  
Standard Deviations ◽  
Multimammate Mice

The haematological estimates on 55 multimammate mice, Praomys (Mastomys) natalensis, are recorded. The data are presented as means, standard deviations and ranges or confidence limits.

Hematologic and serum biochemistry reference intervals using defined ASCVP methodology for laboratory natal multimammate mice (Mastomys natalensis)

2021 ◽  
pp. 002367722110185
Author(s):  
Brian J Smith ◽  
Patrick W Hanley ◽  
Ousmane Maiga ◽  
Maarit N Culbert ◽  
Marissa J Woods ◽  
...  
Keyword(s):  
Complete Blood Count ◽  
Age Groups ◽  
Serum Biochemistry ◽  
Reference Intervals ◽  
Laboratory Research ◽  
Data Sets ◽  
Mastomys Natalensis ◽  
Complete Blood Counts ◽  
Multimammate Mice ◽  
Female Laboratory

Complete blood count, serum chemistry values, and biological reference intervals were compared between two age groups (34–49 and 84–120 days old) of healthy male and female laboratory raised natal multimammate mice ( Mastomys natalensis). Blood was collected via cardiocentesis under isoflurane anesthesia. Data sets of machine automated complete blood counts and clinical chemistries were analyzed. Significant differences between sex and age groups of the data sets were defined. The baseline hematologic and serum biochemistry values described here can improve interpretation of laboratory research using natal multimammate mice.

scholarly journals Polymorphism invkorc1Gene of Natal Multimammate Mice,Mastomys natalensis, in Tanzania

2015 ◽  
Vol 106 (5) ◽  
pp. 637-643 ◽  
Author(s):  
Sophie Gryseels ◽  
Herwig Leirs ◽  
Rhodes Makundi ◽  
Joëlle Goüy de Bellocq
Keyword(s):  
Mastomys Natalensis ◽  
Multimammate Mice

scholarly journals A Statistical Approach to IBNR-Reserves in Marine Reinsurance

1985 ◽  
Vol 15 (2) ◽  
pp. 171-183 ◽  
Author(s):  
Joakim Hertig
Keyword(s):  
Normal Distribution ◽  
Statistical Approach ◽  
Normal Approximation ◽  
Confidence Limits ◽  
Run Off ◽  
Standard Deviations

AbstractThe run off-pattern of long-term reinsurance treaties is described by means and standard deviations of logarithmic increments of premiums and loss ratios in a normal distribution. From this description forecasts of ultimate claims and current IBNR-reserves are derived, with associated distributions and confidence limits. Aggregation from individual treaties to portfolio level is proposed by normal approximation. Security loading of IBNR-reserves is proposed by a contingency reserve at portfolio level.

Reproducibility of Pacing Profiles in Elite Swimmers

2014 ◽  
Vol 9 (2) ◽  
pp. 217-225 ◽  
Author(s):  
Sabrina Skorski ◽  
Oliver Faude ◽  
Seraina Caviezel ◽  
Tim Meyer
Keyword(s):  
Standard Error ◽  
Time Variability ◽  
Confidence Limits ◽  
Elite Swimmers ◽  
Standard Deviations ◽  
Standard Error Of Measurement ◽  
Split Time ◽  
Error Of Measurement

Purpose:To analyze the reproducibility of pacing in elite swimmers during competitions and to compare heats and finals within 1 event.Methods:Finals and heats of 158 male swimmers (age 22.8 ± 2.9 y) from 29 nations were analyzed in 2 competitions (downloaded from swimrankings.net). Of these, 134 were listed in the world’s top 50 in 2010; the remaining 24 were finalists of the Pan Pacific Games or European Championships. The level of both competitions for the analysis had to be at least national championships (7.7 ± 5.4 wk apart). Standard error of measurement expressed as percentage of the subject’s mean score (CV) with 90% confidence limits (CL) for each 50-m split time and for total times were calculated. In addition, mixed general modeling was used to determine standard deviations between and within swimmers.Results:CV for total time in finals ranged between 0.8% and 1.3% (CL 0.6–2.2%). Regarding split times, 200-m freestyle showed a consistent pacing over all split times (CV 0.9–1.6%). During butterfly, backstroke, and 400-m freestyle, CVs were low in the first 3 and 7 sections, respectively (CV 0.9–1.7%), with greater variability in the last section (1.9–2.2%). In breaststroke, values were higher in all sections (CV 1.2–2.3%). Within-subject SDs for changes between laps were between 0.9% and 2.6% in all finals. Split-time variability for finals and heats ranged between 0.9% and 2.5% (CL 0.3–4.9%).Conclusion:Pacing profiles are consistent between different competitions. Variability of pacing seems to be a result of the within-subject variation rather than a result of different competitions

Mechanical Reliability Confidence Limits

1978 ◽  
Vol 100 (4) ◽  
pp. 607-612 ◽  
Author(s):  
D. Kececioglu ◽  
G. Lamarre
Keyword(s):  
Sample Size ◽  
Confidence Limit ◽  
Effective Sample Size ◽  
Confidence Limits ◽  
Mechanical Reliability ◽  
Sample Sizes ◽  
Confidence Levels ◽  
Standard Deviations ◽  
Strength Distributions

Charts are presented relating the lower one-sided confidence limit on the reliability, RL1, to the effective sample size, ne, calculated from the sample sizes used to estimate the failure governing stress and strength distributions, or f(s) and f(S) respectively, and a factor K which is a function of the estimated means and standard deviations of f(s) and f(S). These graphs cover an ne range of 5 to 1000, confidence levels of 0.80, 0.90, 0.95, and 0.99, and lower one-sided limits on the reliability of 0.85 to 0.9145. The equations used to develop these charts are derived and two examples of their applications are given.

Standard Deviations in X-Ray Stress and Elastic Constants Due to Counting Statistics

1988 ◽  
Vol 32 ◽  
pp. 377-388 ◽  
Author(s):  
Masanori Kurita
Keyword(s):  
Elastic Constants ◽  
Stress Measurement ◽  
Steel Specimen ◽  
Polycrystalline Materials ◽  
X Rays ◽  
Confidence Limits ◽  
X Ray Diffraction ◽  
X Ray ◽  
Standard Deviations ◽  
Counting Statistics

AbstractX-ray diffraction can be used to nondestructively measure residual stress of polycrystalline materials. In x-ray stress measurement, it is important to determine a stress constant experimentally in order to measure the stress accurately. However, every value measured by x-ray diffraction has statistical errors arising from counting statistics. The equations for calculating the standard deviations of the stress constant and elastic constants measured by x-rays are derived analytically in order to ascertain the reproducibility of the measured values. These standard deviations represent the size of the variability caused by counting statistics, and can be calculated from a single set of measurements by using these equations. These equations can apply Lu any meuhud for x-ray stress ifiesuremenL. The variances of the x-ray stress and elastic constants are expressed in terms of the linear combinations of the variances of the peak position. The confidence limits of these constants of a quenched and tempered steel specimen were determined by the Gaussian curve method. The 95% confidence limits of the stress constant were -314 ± 25 MFa/deg.

Foraging of multimammate mice, Mastomys natalensis , under different predation pressure: cover, patch-dependent decisions and density-dependent GUDs

Oikos ◽  
2003 ◽  
Vol 100 (3) ◽  
pp. 459-468 ◽  
Author(s):  
Katrine Mohr ◽  
Solveig Vibe-Petersen ◽  
Leif Lau Jeppesen ◽  
Mogens Bildsøe ◽  
Herwig Leirs
Keyword(s):  
Predation Pressure ◽  
Mastomys Natalensis ◽  
Density Dependent ◽  
Multimammate Mice

scholarly journals No evidence for avoidance of black rat scent by the presumably less competitive Natal multimammate mouse in a choice experiment

2017 ◽  
Author(s):  
Laura N. Cuypers ◽  
Wim L. Cuypers ◽  
Amélie Gildemyn-Blomme ◽  
Laura Abraham ◽  
Senne Aertbeliën ◽  
...  
Keyword(s):  
Residence Time ◽  
Choice Experiment ◽  
Rattus Rattus ◽  
Underlying Mechanism ◽  
Mastomys Natalensis ◽  
Black Rat ◽  
Y Maze ◽  
Multimammate Mice ◽  
Black Rats

AbstractIn Africa, indigenous multimammate mice (Mastomys natalensis) only appear to live commensally in houses when invasive black rats (Rattus rattus) are absent, yet little is known about the underlying mechanism. Avoidance through smell may cause the absence of M. natalensis from areas occupied by R. rattus, but this hypothesis has not yet been tested. We conducted a Y-maze choice experiment where 15 M. natalensis were offered a choice between corridors containing conspecific scent, R. rattus scent, and a control scent. Residence time in the R. rattus corridor was greater than that in the control corridor but equal to that in the M. natalensis corridor, suggesting that multimammate mice do not actively avoid the scent of their invasive competitor.

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