Increasing our ignorance of language: identifying language structure in an unknown signal

This paper describes algorithms and software developed to characterise and detect generic intelligent language-like features in an input signal, using natural language learning techniques: looking for characteristic statistical "language-signatures" in test corpora. As a first step towards such species-independent language-detection, we present a suite of programs to analyse digital representations of a range of data, and use the results to extrapolate whether or not there are language-like structures which distinguish this data from other sources, such as music, images, and white noise. Outside our own immediate NLP sphere, generic communication techniques are of particular interest in the astronautical community, where two sessions are dedicated to SETI at their annual International conference with topics ranging from detecting ET technology to the ethics and logistics of message construction (Elliott and Atwell, 1999; Ollongren, 2000; Vakoch, 2000)

Characterisation, in vitro digestibility and expected glycemic index of commercial starches as uncooked ingredients

When selecting a native starch for specific food purposes, it is important to consider the differences between starches of varying botanical sources (cereal, tubers and roots). In this study uncooked starches as ingredients (corn, rice, wheat, tapioca and potato) were characterized according to microstructure, some (physicochemical, functional and thermal) properties, in vitro digestibility and expected glycemic index. There was a significant variation in the granule shape and size distribution of the starches, when studied using Scanning Electron Microscopy (SEM) and particle size analysis. Particle size results distinguished among starches in monomodal (corn, tapioca, potato) and bimodal (rice, wheat) populations. Among all the samples, the potato showed the biggest size distribution granules while the rice showed the lowest. The examined properties and nutritional characteristics of starches were significantly different. Thermal properties were studied by means of Differential Scanning Calorimeter (DSC). DSC studies found that the transition temperatures (58.8 °C - 78.7 °C) and enthalpies of gelatinization (2.3 J/g - 8.2 J/g) of the starches appeared to be greatly influenced by microstructure and chemical composition (e.g. resistant starch). Potato and corn starches were hydrolyzed more slowly and to a lesser extent than ones. In particular, the highest resistant starch was recorded for potato. Nutritional properties such as slowly digestible starch and expected glycemic index values followed the order: rice > wheat > tapioca >corn > potato. In general, these results provide the baseline information on the development of novel foods or native starch blends with tailored functional properties such as slow digestibility

Climate change and violent conflict in Europe over the last millennium

We investigate the relationship between a thousand-year history of violent conflict in Europe and various reconstructions of temperature and precipitation. We find that conflict was more intense during colder period, just like Zhang et al. (Clim Change 76:459-477, 2006) found for China. This relationship weakens in the industrialized era, and is not robust to the details of the climate reconstruction or to the sample period. As the correlation is negative and weakening, it appears that global warming would not lead to an increase in violent conflict in temperature climates

Cystic fibrosis transmembrane conductance regulator in the gills of the climbing perch, Anabas testudineus, is involved in both hypoosmotic regulation during seawater acclimation and active ammonia excretion during ammonia exposure

10.1007/s00360-012-0664-9Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology1826793-812JCPB

Proximity of signallers can maintain sexual signal variation under stabilizing selection

How sexual communication systems can evolve under stabilizing selection is still a paradox in evolutionary biology. In moths, females emit a species-specific sex pheromone, consisting of a blend of biochemically related components, to which males are attracted. Although males appear to exert strong stabilizing selection on female pheromone, these blends seem to have evolved rapidly, as evidenced by ~120,000 moth species. Here we propose and test a “proximity model” wherein two females that vary in their relative attractiveness to males, can both benefit from calling in close proximity to each other. In a field study, we show that (1) artificially selected unattractive females can achieve mating rates comparable to attractive females if they signal in close proximity to attractive females, and (2) attractive females benefit from higher mating rates when signalling in close proximity to unattractive females. We propose that frequency-dependent behavioural and spatial interactions can sustain signal variation within populations even when these signals are under stabilizing selection