The effects of dried tomato pomace and a multipleenzyme mixture supplementation (Rovabio ExcelTM) on performance and carcass quality of broiler chickens

An experiment was conducted to study the effect of dried tomato pomace (DTP) and a multienzyme preparation supplementation (Rovabio ExcelTM) on the performance and carcass quality of broiler chickens. A 4 × 2 factorial arrangement of treatments comprising 4 dietary DTP levels (0, 8, 16 and 24%) with and without enzyme supplementation was used. Each diet was fed to 4 replicates pens of 8 broiler chicks from 1 to 42 days posthatch as a coarse mash. The addition of DTP up to 16% to broiler diets did not significantly affect feed intake (FI), body weight gain (BWG) and feed conversion ratio (FCR) during starter (1 to 21 days), growing (22 to 42 days) and entire experimental (1 to 42 days) periods. Inclusion of 24% DTP into the diet significantly decreased FI at starter and entire experimental periods. Also, inclusion of 24% DTP into the diets significantly decreased BWG and increased FCR at all periods. Birds fed the diets supplemented with Rovabio ExcelTM had significantly higher BWG during the starter and entire experimental periods. No significant effect of enzyme addition was observed on FI and FCR. The dietary treatments with or without enzyme did not significantly affect mortality. The 8% DTP-fed group had comparable carcass weight, carcass yield, yield of breast, thigh, abdominal fat, heart, liver and gizzard with those of control group. The higher levels of DTP significantly decreased carcass weight and yield, yield of breast and thigh when compared to the control group. Enzyme supplementation significantly increased carcass weight and yield of abdominal fat. No significant interactions between the DTP and enzyme were observed for performance parameters and carcass characteristics. These results demonstrate that supplementation of DTP up to 8% to broiler diets had no significant adverse effects on performance parameters and carcass characteristics. The enzyme had a significant effect on BWG, carcass weight and yield of abdominal fat.Key words: Dried tomato pomace, enzyme, performance, carcass quality, broiler

Computable randomness is about more than probabilities

We introduce a notion of computable randomness for infinite sequences that generalises the classical version in two important ways. First, our definition of computable randomness is associated with imprecise probability models, in the sense that we consider lower expectations (or sets of probabilities) instead of classical 'precise' probabilities. Secondly, instead of binary sequences, we consider sequences whose elements take values in some finite sample space. Interestingly, we find that every sequence is computably random with respect to at least one lower expectation, and that lower expectations that are more informative have fewer computably random sequences. This leads to the intriguing question whether every sequence is computably random with respect to a unique most informative lower expectation. We study this question in some detail and provide a partial answer

Differential calculus with imprecise input and its logical framework

We develop a domain-theoretic Differential Calculus for locally Lipschitz functions on finite dimensional real spaces with imprecise input/output. The inputs to these functions are hyper-rectangles and the outputs are compact real intervals. This extends the domain of application of Interval Analysis and exact arithmetic to the derivative. A new notion of a tie for these functions is introduced, which in one dimension represents a modification of the notion previously used in the one-dimensional framework. A Scott continuous sub-differential for these functions is then constructed, which satisfies a weaker form of calculus compared to that of the Clarke sub-gradient. We then adopt a Program Logic viewpoint using the equivalence of the category of stably locally compact spaces with that of semi-strong proximity lattices. We show that given a localic approximable mapping representing a locally Lipschitz map with imprecise input/output, a localic approximable mapping for its sub-differential can be constructed, which provides a logical formulation of the sub-differential operator

A Survey on Continuous Time Computations

We provide an overview of theories of continuous time computation. These theories allow us to understand both the hardness of questions related to continuous time dynamical systems and the computational power of continuous time analog models. We survey the existing models, summarizing results, and point to relevant references in the literature

Computability and dynamical systems

In this paper we explore results that establish a link between dynamical systems and computability theory (not numerical analysis). In the last few decades, computers have increasingly been used as simulation tools for gaining insight into dynamical behavior. However, due to the presence of errors inherent in such numerical simulations, with few exceptions, computers have not been used for the nobler task of proving mathematical results. Nevertheless, there have been some recent developments in the latter direction. Here we introduce some of the ideas and techniques used so far, and suggest some lines of research for further work on this fascinating topic

Computability of ordinary differential equations

In this paper we provide a brief review of several results about the computability of initial-value problems (IVPs) defined with ordinary differential equations (ODEs). We will consider a variety of settings and analyze how the computability of the IVP will be affected. Computational complexity results will also be presented, as well as computable versions of some classical theorems about the asymptotic behavior of ODEs.info:eu-repo/semantics/publishedVersio

Computable randomness is about more than probabilities

We introduce a notion of computable randomness for infinite sequences that generalises the classical version in two important ways. First, our definition of computable randomness is associated with imprecise probability models, in the sense that we consider lower expectations (or sets of probabilities) instead of classical 'precise' probabilities. Secondly, instead of binary sequences, we consider sequences whose elements take values in some finite sample space. Interestingly, we find that every sequence is computably random with respect to at least one lower expectation, and that lower expectations that are more informative have fewer computably random sequences. This leads to the intriguing question whether every sequence is computably random with respect to a unique most informative lower expectation. We study this question in some detail and provide a partial answer

Obesity and risk of pancreatic cancer among postmenopausal women: the Women's Health Initiative (United States)

A total of 138 503 women in the Women's Health Initiative in the United States were followed (for an average of 7.7 years) through 12 September 2005 to examine obesity, especially central obesity in relation to pancreatic cancer (n=251). Women in the highest quintile of waist-to-hip ratio had 70% (95% confidence interval 10–160%) excess risk of pancreatic cancer compared with women in the lowest quintile