Molecular communication is a promising paradigm to implement nanonetworks, the interconnection of nanomachines. Catalytic nanomotors constitute one of the techniques that have been proposed for medium-range molecular communications. This paper presents a physical channel characterization that shows how nanomachines communicate using catalytic nanomotors as information carriers. Quantitative res...

Fluctuation microscopy is a hybrid diffraction-imaging technique that detects medium range order in amorphous materials by examining spatial fluctuations in coherent scattering. These fluctuations appear as speckle in images and diffraction patterns. The volume of material contributing to the speckle is determined by the point-spread function (the resolution) of the imaging optics and the sampl...

This paper describes the experience gained while parallelizing the global medium range weather forecasting application called TSO on a PARAM machine based on a distributed memory parallel architecture. The TSO code employs the spectral method for horizontal directions and finite differencing in the vertical direction and time marching. The parallel implementation takes care of the easy portabil...

Widespread flooding occurred across northwest Europe during the winter of 2013/14, resulting in large socioeconomic damages. In the historical record, extreme hydrological events have been connected with intense water vapour transport. Here we show that water vapour transport has higher medium-range predictability compared with precipitation in the winter 2013/14 forecasts from the European Cen...

We study the nonrandomness of proteome sequences by analysing the correlations that arise between amino acids at a short and medium range, more specifically, between amino acids located 10 or 100 residues apart; respectively. We show that statistical models that consider these two types of correlation are more likely to seize the information contained in protein sequences and thus achieve good ...

Sensory arrays made of coupled excitable elements can improve both their input sensitivity and dynamic range due to collective non-linear wave properties. This mechanism is studied in a neural network of electrically coupled (e.g. via gap junctions) elements subject to a Poisson signal process. The network response interpolates between a Weber-Fechner logarithmic law and a Stevens power law dep...

We study the response properties of d-dimensional hypercubic excitable networks to a stochastic stimulus. Each site, modelled either by a three-state stochastic susceptible-infected-recoveredsusceptible system or by the probabilistic Greenberg-Hastings cellular automaton, is continuously and independently stimulated by an external Poisson rate h. The response function (mean density of active si...

This cross-sectional study aimed to explore the association between the intensity of participation in online depression communities and the benefits users gain from participation. The study was based on an online survey of 631 users in 16 English language-based online depression communities. Results indicated that there were several differences between heavy, medium and light users with regard ...

Complementary XAFS measurements (LURE and NSLS) of Sel,Te, glasses have been canied out on both the Se and Te Kedges at low and room temperatures. Using a multi-shell best fit analysis procedure, we have reconstructed the Se and Te local environment: (i)first shell intrachain nearest neighbors (Se-Sel, Se-Tel, Te-Se~,and Te-Tel); (ii) second shell intrachain (Se-Sez and Se-Tez) and interchain n...

Current day operational ensemble weather prediction systems generally rely upon perturbed atmospheric initial states, thereby neglecting the eventual effect on the atmospheric evolution that uncertainties in initial soil temperature and moisture fields could bring about during the summer months. The purpose of this study is to examine the role of the soil states in medium-range weather predicta...