Transition to turbulence in slowly divergent pipe flow

The results of a combined experimental and numerical study of the flow in slowly diverging pipes are presented. Interestingly, an axisymmetric conical recirculation cell has been observed. The conditions for its existence and the length of the cell are simulated for a range of diverging angles and expansion ratios. There is a critical velocity for the appearance of this state. When the flow rate increases further, a subcritical transition for localized turbulence arises. The transition and relaminarization experiments described here quantify the extent of turbulence. The findings suggest that the transition scenario in slowly diverging pipes is a combination of stages similar to those observed in sudden expansions and in straight circular pipe flow.Comment: 8 pages, 5 figure

Lobes frontaux et prise de décision sous ambiguïté et sous risque : données lésionnelles, psychiatriques et de neuro-imagerie fonctionnelle

Decision-making is a complex human activity which refers to a set of cognitive and emotional processes linked to the integrity of prefrontal cortex. This paper reviews the state of the art with regard to the link between decision-making and frontal symptomatology. Also discussed are the results of neuroimaging studies of decision-making. More precisely, the impact of focal frontal lobe lesions, obsessive-compulsive disorder and schizophrenia on decision-making are explored. This analysis showed inhomogeneous results, both for neurological and psychiatric studies. That calls for further investigation of decision-making skills, which will be necessary to compare patients’ performance in decision-making tasks and functional outcomes, in order to explore the ecological validity of the assessment tools

Polarization-dependence of anomalous scattering in brominated DNA and RNA molecules, and importance of crystal orientation in single- and multiple-wavelength anomalous diffraction phasing

In this paper the anisotropy of anomalous scattering at the Br K-absorption edge in brominated nucleotides is investigated, and it is shown that this effect can give rise to a marked directional dependence of the anomalous signal strength in X-ray diffraction data. This implies that choosing the correct orientation for crystals of such molecules can be a crucial determinant of success or failure when using single- and multiple-wavelength anomalous diffraction (SAD or MAD) methods to solve their structure. In particular, polarized absorption spectra on an oriented crystal of a brominated DNA molecule were measured, and were used to determine the orientation that yields a maximum anomalous signal in the diffraction data. Out of several SAD data sets, only those collected at or near that optimal orientation allowed interpretable electron density maps to be obtained. The findings of this study have implications for instrumental choices in experimental stations at synchrotron beamlines, as well as for the development of data collection strategy programs

A set of primers for length and nucleotide-substitution polymorphism in chloroplastic DNA of Olea europaea L. (Oleaceae)

Chloroplastic DNA (cpDNA) variation at five microsatellite motifs, two insertion-deletion sites, and eight nucleotide substitution sites was investigated in the Olea europaea complex. Primers were designed for flanking regions of these sites to amplify short cpDNA regions. They provided polymorphism when polymerase chain reaction (PCR) products from a representative sample of 128 O. europaea individuals were either resolved by size into polyacrylamide gels (length polymorphism) or digested with restriction enzymes (nucleotide-substitution polymorphism). These polymorphisms serve to distinguish most of the cytoplasmic haplotypes previously recognized. Potential application of these markers in O. europaea includes phylogeography, conservation and germplasm identification, even when using poorly preserved material from herbarium specimens or forensic and archaeological materials.This work was supported by the project BIOD-IBERIA (A82).Peer Reviewe

Mol-CycleGAN - a generative model for molecular optimization

Designing a molecule with desired properties is one of the biggest challenges in drug development, as it requires optimization of chemical compound structures with respect to many complex properties. To augment the compound design process we introduce Mol-CycleGAN - a CycleGAN-based model that generates optimized compounds with high structural similarity to the original ones. Namely, given a molecule our model generates a structurally similar one with an optimized value of the considered property. We evaluate the performance of the model on selected optimization objectives related to structural properties (presence of halogen groups, number of aromatic rings) and to a physicochemical property (penalized logP). In the task of optimization of penalized logP of drug-like molecules our model significantly outperforms previous results