Using a discussion about scientific controversy to teach central concepts in experimental design

Students may need explicit training in informal statistical reasoning in order to design experiments or use formal statistical tests effectively. By using scientific scandals and media misinterpretation, we can explore the need for good experimental design in an informal way. This article describes the use of a paper that reviews the measles mumps rubella vaccine and autism controversy in the UK to illustrate a number of threshold concepts underlying good study design and interpretation of scientific evidence. These include the necessity of sufficient sample size, representative and random sampling, appropriate controls and inferring causation.

Experimental evolution reveals that population density does not affect moth signalling behaviour and antennal morphology

Population density can play a vital role in determining investment in reproductive behaviours and morphologies of invertebrates. Males reared in high-density environments, where competition is high but difficulties in locating mates are low, may invest more in reproductive structures associated with sperm competition such as testes, at the expense of those traits associated with mate location, such as antennae. In species where females advertise for mates, such as most moths, a high-density environment may also lead to a reduction in pheromonal signalling (calling) length and frequency as a result of high mate abundance. While such responses have been shown at the phenotypically plastic level in moths, heritable evolutionary adaptations have seldom been tested, and studies of how population density influences pheromone signalling strategies are scarce. Here we use behavioural assays and scanning electron microscopic measurements to test whether larval population density influences, at the genetic level, the ability of males to locate females and male investment into antennal morphology, in addition to its effect on the frequency and duration of female calling. We used two replicated populations of the Indian meal moth Plodia interpunctella that had experimentally evolved under high or low population densities for 35 generations. We found no significant divergence in antennal morphology or mate acquisition behaviours between the two density populations. These findings suggest that although population density has the ability to create plastic changes in both morphological and behavioural traits, this factor alone is unlikely to be causing evolutionary change in male and female signalling in this species.

Dynamical modeling of biogas production supported by an experimental anaerobic digestion process

This paper presents the development of a combined experimental and numerical approach to study the anaerobic digestion of both the wastes produced in a biorefinery using yeast for biodiesel production and the wastes generated in the preceding microbial biomass production. The experimental results show that it is possible to valorise through anaerobic digestion all the tested residues. In the implementation of the numerical model for anaerobic digestion, a procedure for the identification of its parameters needs to be developed. A hybrid search Genetic Algorithm was used, followed by a direct search method. In order to test the procedure for estimation of parameters, first noise-free data was considered and a critical analysis of the results obtain so far was undertaken. As a demonstration of its application, the procedure was applied to experimental data.

Estimation of climatological water deficit in an experimental watershed in the brazilian cerrado.

ABSTRACT: This study aimed to estimate the probability of climatological water deficit in an experimental watershed in the Cerrado biome, located in the central plateau of Brazil. For that, it was used a time series of 31 years (1982?2012). The probable climatological water deficit was calculated by the difference between rainfall and probable reference evapotranspiration, on a decennial scale. The reference evapotranspiration (ET0) was estimated by the standard FAO-56 Penman-Monteith method. To estimate water deficit, it was used gamma distribution, time series of rainfall and reference evapotranspiration. The adherence of the estimated probabilities to the observed data was verified by the Kolmogorov-Smirnov nonparametric test, with significance level (a-0.05), which presented a good adjustment to the distribution models. It was observed a climatological water deficit, in greater or lesser intensity, between the annual decennials 2 and 32.