Analysis of Time-Varying Biological Data Using Rainflow Cycle Counting

A wide range of biological investigations lead to time-history data. The characterization of such data can be difficult particularly in the presence of signal noise or superimposed signals. Several methods are described which can be brought to bear including FFT, thresholding, peak counting, and range counting. However, each of these approaches has significant disadvantages. In this paper we describe a novel method, known as rainflow cycle counting, for characterizing time varying biological time-history data in terms of spiking or oscillation amplitude and frequency. Rainflow counting is a straightforward algorithm for identifying complete cycles in the data and determining their amplitudes. The approach is simple, reliable, easily lends itself to automation, and robust even in the presence of superimposed signals or background noise. After describing the method, its use and behavior are demonstrated on three sample histories of intracellular calcium concentration in chondrocytes exposed to fluid shear stress. The method is also applied to a more challenging data set that has had an artificial random error included. The results demonstrate that the rainflow counting algorithm identifies signal oscillations and appropriately determines their amplitudes even when superimposed or distorted by background noise. These attractive properties make rainflow counting a powerful approach for quantifying and characterizing biological time histories.     

Differential permeability of rivers to raccoon gene flow corresponds to rabies incidence in Ontario, Canada

The correlation of landscape features with genetic discontinuities reveals barriers to dispersal that can contribute to understanding present and future spread of wildlife diseases. This knowledge can then be used for targeting control efforts. The impact of natural barriers on raccoon dispersal was assessed through genetic analysis of samples from two regions, Niagara ( N  = 666) and St. Lawrence ( N  = 802). These areas are transected by major rivers and are at the northern front of a raccoon rabies epizootic. Genetic clusters were identified in each region using Bayesian clustering algorithms. In the Niagara region, two clusters were identified corresponding to either side of the Niagara River. For the St. Lawrence region, spatially congruent clusters were not identified, despite the presence of the intervening St. Lawrence River. These genetic data are consistent with raccoon rabies incidence data where rabies has been detected across the St. Lawrence River in Ontario while no cases have been detected in Ontario across the Niagara River. This is despite expectations of rabies incidence in Niagara before the St. Lawrence based on the progression of rabies from New York. The results from the two regions suggest different permeabilities to raccoons between New York and Ontario that may be attributed to the rivers. However, other factors have also been explored that could contribute to this difference between these study sites including the shape of the landscape and resource distribution.     

PATTERN CLADISTICS OR EVOLUTIONARY CLADISTICS?

We can also put it like this. The introduction of an auxiliary hypothesis should always be regarded as an attempt to construct a new system; and this new system should then always be judged on the issue of whether it would, if adopted, constitute a real advance in our knowledge of the world—K. R. Popper.     

Interaction of Cortisoi and Thyroid Hormone in the Larval Development of Pacific Threadfin

We have conducted three hatchery-scale experiments designedto examine the actions and interactions of cortisoi and thyroidhormones in the development of a larval marine fish. Survivalamong controls varied significantly between the 3 replicateexperiments. The threadfin (Polydactylus sexfilis) consistentlyresponds to 1 hr posthatch immersion in a combination of triiodothyronineand cortisoi (T₃ + F) with accelerated gut development and increasedsurvival compared with untreated controls (C). Survival amonglarvae treated with T₃ or F separately was significantly improvedover controls in one of the three experiments. The frequencyof spinal deformities was reduced by cortisoi treatment, aloneor in combination with T₃. Growth did not vary with treatment,except that variance in larval length was reduced in (T₃ + F)vs. C in all 3 experiments. A hormoneinduced increase in uniformitycould lead to reduced cannibalism, which is a problem in theculture of threadnns. These results suggest interactive hormonalregulation of developmental processes, working within the contextof other biological variables