Field genebank standards for grapevines (Vitis vinifera L.)

Annex

Influence of Energy and Protein Level in Lactating Sows Diet on the Mobilization of Reserves from Internal Organs

The aim of this paper was to investigate the effect of feeding sows in lactation, in diets with different levels of energy and protein to mobilization of reserves from internal organs. The experiment was conducted on 240 sows divided into two groups of 120 sows each, with two sub-groups of 60 sows. Experimental period lasted 65 days, and during the last 30 days of pregnancy and lactation, until weaning. For sows feeding a mixture of the standard composition and the quality, with the 15% crude protein, and 14 to 12 MJ ME / kg and 19% crude protein, and 14 to 12 MJ ME / kg of the mixture were used. Sows were divided into two groups and four subgroups consumed 2.20 and 3.30 kg of food per day. Based on the statistical analysis of the data it can be concluded that the different amounts of feeds with different levels of protein and energy in the diet resulted in the mobilization of the reserves from the internal organs of lactating sows. When we talk about the content of protein in the liver of lactating sows, statistically significant effect (P>0.05) to diets with 15% crude protein (19.04%) and 19% crude protein (19%) was not recorded. The same trend in the content of crude protein in the kidney (14.61 and 14.84%) was also observed, but with no statistically significant difference (P>0.05). Analysis of variance was established as statistically significant effects (P<0.01) protein content in the diet on protein content in the muscle of the heart muscle (17.59 and 18.71%). Effect of different energy level in mixture used for the diet of lactating sows, the protein content in the liver, kidneys and heart was missing

Effect of temperature on the physical changes and drying kinetics in plum (Prunus domestica L.) Požegača variety

In this study, drying kinetics of autochthonous variety Požegača plum was examined in a laboratory dryer at three temperatures. The whole plum fruits, together with the kernels were subjected to the drying process. The effect of drying has been examined at temperatures of 55, 60 and 75 °C, with a constant air velocity of 1.1 m s-1. The corresponding experimental results were tested using six nonlinear regression models. Coefficient of determination (R2), standard regression error (SSE), model correlation coeficient (Vy), as well as the maximum absolute error (ΔY) showed that the logaritmic model was in good agreement with the experimental data obtained. During drying of plums, the effective diffusivity was found to be between 5.6×10-9 for 55 °C and 8.9×10-9 m2 s-1 at 75 °C, respectively. The physical characteristics of fresh (length 39.64 mm and width 29.15 mm) and dried (length 37.52 mm and width 22.85 mm) plum fruit were determined. Finally, by chemical analysis, the contents of micro- and macro-elements (Fe, Mn, Cu, B and N, F, K, Ca, Mg and S) in the skin and flesh of the dried product, prunes, has been established

A Study on Developer Perception of Transformation Languages for Refactoring

Although there is much research advancing state-of-art of program transformation tools, their application in industry source code change problems has not yet been gauged. In this context, the purpose of this paper is to better understand developer familiarity and comfort with these languages by conducting a survey. It poses, and answers, four research questions to understand how frequently source code transformation languages are applied to refactoring tasks, how well-known these languages are in industry, what developers think are obstacles to adoption, and what developer refactoring habits tell us about their current use, or underuse, of transformation languages. The results show that while source code transformation languages can fill a needed niche in refactoring, research must motivate their application. We provide explanations and insights based on data, aimed at the program transformation and refactoring communities, with a goal to motivate future research and ultimately improve industry adoption of transformation languages for refactoring tasks

Computer Precision Effects on Long Term Tracking

Intention of this paper is to explore the difference in the results of a symplectic model, of analytically proven stability, when it is executed on the computer with difference precision levels

Predictability of Lead-210 in Surface Air Based on Multivariate Analysis

Dependence of the lead-210 activity concentration in surface air on meteorological variables and teleconnection indices is investigated using multivariate analysis, which gives the Boosted Decision Trees method as the most suitable for variable analysis. A mapped functional behaviour of the lead-210 activity concentration is further obtained, and used to test predictability of lead-210 in surface air. The results show an agreement between the predicted and measured values. The temporal evolution of the measured activities is satisfactorily matched by the prediction. The largest qualitative differences are obtained for winter months.3rd International Conference on Radiation and Applications in Various Fields of Research (RAD), Jun 08-12, 2015, Budva, Montenegr

Predictability of Lead-210 in Surface Air Based on Multivariate Analysis

Dependence of the lead-210 activity concentration in surface air on meteorological variables and teleconnection indices is investigated using multivariate analysis, which gives the Boosted Decision Trees method as the most suitable for variable analysis. A mapped functional behaviour of the lead-210 activity concentration is further obtained, and used to test predictability of lead-210 in surface air. The results show an agreement between the predicted and measured values. The temporal evolution of the measured activities is satisfactorily matched by the prediction. The largest qualitative differences are obtained for winter months.3rd International Conference on Radiation and Applications in Various Fields of Research (RAD), Jun 08-12, 2015, Budva, Montenegr

Which Method-Stereotype Changes are Indicators of Code Smells?

A study of how method roles evolve during the lifetime of a software system is presented. Evolution is examined by analyzing when the stereotype of a method changes. Stereotypes provide a high-level categorization of a method\u27s behavior and role, and also provide insight into how a method interacts with its environment and carries out tasks. The study covers 50 open-source systems and 6 closed-source systems. Results show that method behavior with respect to stereotype is highly stable and constant over time. Overall, out of all the history examined, only about 10% of changes to methods result in a change in their stereotype. Examples of methods that change stereotype are further examined. A select number of these types of changes are indicators of code smells