Evaluation of selective cocoa (Theobroma cacao L.) clones from Central and South America in their initial years of growth

Abstrac

Data-Induced Interactions of Sparse Sensors

Large-dimensional empirical data in science and engineering frequently has low-rank structure and can be represented as a combination of just a few eigenmodes. Because of this structure, we can use just a few spatially localized sensor measurements to reconstruct the full state of a complex system. The quality of this reconstruction, especially in the presence of sensor noise, depends significantly on the spatial configuration of the sensors. Multiple algorithms based on gappy interpolation and QR factorization have been proposed to optimize sensor placement. Here, instead of an algorithm that outputs a singular "optimal" sensor configuration, we take a thermodynamic view to compute the full landscape of sensor interactions induced by the training data. The landscape takes the form of the Ising model in statistical physics, and accounts for both the data variance captured at each sensor location and the crosstalk between sensors. Mapping out these data-induced sensor interactions allows combining them with external selection criteria and anticipating sensor replacement impacts.Comment: 17 RevTeX pages, 10 figure

Socio demographic analysis of depression during post partum period

Non-psychotic post-partum depression is the most common complication of childbirth. Paucity of Indian literature regarding the incidence of depression necessitates this study. 400 consecutive patients admitted to the labour ward for delivery to the Government Rajaji Hospital included in the study. The various socio-demographic, obstetric and paediatric data collected and analysed using the Edinburgh Post-Natal depression scale questionnaire to identify for the presence of post-partum depression. The incidence of depression found to be about 10%, which consistent with literature from around the world. Women scoring >10 on the EDPS score were referred to the psychiatrist for confirmation of diagnosis and treatment. Various factors affecting the development of PPD were analysed and tests of statistical significance carried out and the results presented

Iris pigmentation as a quantitative trait: variation in populations of European, East Asian and South Asian ancestry and association with candidate gene polymorphisms

In this study, we present a new quantitative method to measure iris colour based on high‐resolution photographs. We applied this method to analyse iris colour variation in a sample of individuals of East Asian, European and South Asian ancestry. We show that measuring iris colour using the coordinates of the CIELAB colour space uncovers a significant amount of variation that is not captured using conventional categorical classifications, such as ‘brown’, ‘blue’ or ‘green’. We tested the association of a selected panel of polymorphisms with iris colour in each population group. Six markers showed significant associations with iris colour in the European sample, three in the South Asian sample and two in the East Asian sample. We also observed that the marker HERC 2 rs12913832, which is the main determinant of ‘blue’ versus ‘brown’ iris colour in European populations, is also significantly associated with central heterochromia in the European sample