A chromosome-level, haplotype-phased Vanilla planifolia genome highlights the challenge of partial endoreplication for accurate whole-genome assembly.

Vanilla planifolia, the species cultivated to produce one of the world's most popular flavors, is highly prone to partial genome endoreplication, which leads to highly unbalanced DNA content in cells. We report here the first molecular evidence of partial endoreplication at the chromosome scale by the assembly and annotation of an accurate haplotype-phased genome of V. planifolia.

Dose equivalent transmission data for shielding industrial x-ray facilities up to 800 kV.

The transmission factors used to calculate radiation shielding around an industrial x-ray device are determined using the MCNP6 code. The transmission factors are given for high voltages ranging between 120 and 800 kV for lead and between 200 and 800 kV for concrete. In view of the high usage intensity of industrial devices, the transmission factors are evaluated up to 1.

CALCULATION OF SKIN DOSE DUE TO BETA CONTAMINATION USING THE NEW QUANTITY OF THE ICRP 116: THE 'LOCAL SKIN DOSE'.

Values of the new protection quantity 'Local Skin Dose' LSD, introduced by the International Commission on Radiological Protection (ICRP) Publication 116, were calculated for 134 β- or β+ emitting radionuclides, using the Monte Carlo code MCNP6. Two types of source geometry are considered: a point source and disc-type surface contamination (the source is placed in contact with the skin). This new protection quantity is compared with the operational quantity H'(0.

Fluence to local skin absorbed dose and dose equivalent conversion coefficients for monoenergetic positrons using Monte-Carlo code MCNP6.

Conversion coefficients fluence to local skin equivalent dose, as introduced in ICRP Publication 116, 2010, are calculated for positrons of energies ranging from 10 keV to 10 MeV using the code MCNP6. Fluence to dose equivalent conversion coefficients H'(0.07,0°)/Φ are calculated for positrons of energy ranging between 20 keV and 10 MeV.

Semi-physical neural modeling for linear signal restoration.

This paper deals with the design methodology of an Inverse Neural Network (INN) model. The basic idea is to carry out a semi-physical model gathering two types of information: the a priori knowledge of the deterministic rules which govern the studied system and the observation of the actual conduct of this system obtained from experimental data. This hybrid model is elaborated by being inspired by the mechanisms of a neuromimetic network whose structure is constrained by the discrete reverse-time state-space equations.