The Scalar Curvature Problem on the Four Dimensional Half Sphere

In this paper, we consider the problem of prescribing the scalar curvature under minimal boundary conditions on the standard four dimensional half sphere. We provide an Euler-Hopf type criterion for a given function to be a scalar curvature to a metric conformal to the standard one. Our proof involves the study of critical points at infinity of the associated variational problem.Comment: 19 page

Effect of Tiamulin or Rescue-kit(R) on diet utilisation, growth and carcass yield of growing rabbits

[EN] A total of 192 CalifornianxNew Zealand rabbits weaned at 33 d old were used in this experiment. Animals were allocated at weaning to three homogenous treatment groups based on litter size and live weight. Rabbits in control treatment (C) were offered a standard feed (SF) containing Robenidin and Flavomycin. Rabbits in TI treatment were fed SF diet and supplemented between days 33 and 62 with Tiamulin. The third group of rabbits (RK treatment) were fed SF diet and supplemented with Rescue-Kit(R) (containing B. licheniformis and B. subtilis (1600x10(9) CFU), betain, vitamins and oligo-elements) in the drinking water from 41 to 50 d of age. Digestibility of the experimental diets was recorded from 47 to 50 d of age, growth performance from weaning to 77 d old and carcass performance at 77 d of age. In the second week after weaning, between days 41 and 50, average daily gain (ADG) and feed intake for the regime including Tiamulin increased by 19 and 7.5% (P<=0.051) compared to those fed C and RK treatments. In this period, animals supplemented with Tiamulin obtained the best feed conversion ratio (FCR) and the highest DM digestibility (P=0.023). Rabbits from RK treatment showed the same DM digestibility than those from the C group, but an intermediate FCR between TI and C rabbits. The retrieval of Tiamulin from the diet after day 62 and until day 77 led to a decrease in ADG of the rabbits, which was lower than for animals receiving RK (P=0.007), while C animals had intermediate growth traits. It resulted that for the whole fattening period, treatments had no effect on ADG, feed intake and FCR (32.1 and 143 g/d and 4.13 g/g, respectively). Overall mortality rates and dressing out percentage were also similar among treatments (26.6 and 59.8%, respectively).Haj Ayed, M.; Ben Saïd, B. (2008). Effect of Tiamulin or Rescue-kit(R) on diet utilisation, growth and carcass yield of growing rabbits. World Rabbit Science. 16(3). doi:10.4995/wrs.2008.62716

The Ljapunov-Schmidt reduction for some critical problems

This is a survey about the application of the Ljapunov-Schmidt reduction for some critical problems

Multi-Estimator Full Left Ventricle Quantification through Ensemble Learning

Cardiovascular disease accounts for 1 in every 4 deaths in United States. Accurate estimation of structural and functional cardiac parameters is crucial for both diagnosis and disease management. In this work, we develop an ensemble learning framework for more accurate and robust left ventricle (LV) quantification. The framework combines two 1st-level modules: direct estimation module and a segmentation module. The direct estimation module utilizes Convolutional Neural Network (CNN) to achieve end-to-end quantification. The CNN is trained by taking 2D cardiac images as input and cardiac parameters as output. The segmentation module utilizes a U-Net architecture for obtaining pixel-wise prediction of the epicardium and endocardium of LV from the background. The binary U-Net output is then analyzed by a separate CNN for estimating the cardiac parameters. We then employ linear regression between the 1st-level predictor and ground truth to learn a 2nd-level predictor that ensembles the results from 1st-level modules for the final estimation. Preliminary results by testing the proposed framework on the LVQuan18 dataset show superior performance of the ensemble learning model over the two base modules.Comment: Jiasha Liu, Xiang Li and Hui Ren contribute equally to this wor

Molecular characterization of γ gliadin from durum wheat (Triticum turgidum L. Subsp. Durum ((Desf.) Husn.)

The gluten quality is one of the main factors affecting the quality of durum wheat. It depends primarily on its storage proteins composition (glutenins and gliadins). In order to set up and initiate a technological quality improvement program of durum wheat we have conducted a prospection of the different protein sequences of gliadin in different databases for Triticum, then the filtration steps and assembly by appropriate software have been conducted to reduce the number of redundant sequences. On the other hand, we have isolated a gene from Iride "Gli-A1" encoding a γ-gliadin protein associated with gluten strength and viscoelasticity of the dough, we performed an in silico molecular and structural analysis in order to define its putative functional properties. The latter could be a valuable candidate as molecular marker for selecting high nutritive value of durum wheat and/or for genetic improvement of durum wheat quality.Keywords: in silico; Storage Proteins; Gliadin; Triticum ; wheat; technological qualit