Nutrition of chicks and layers

When formulating least-cost poultry diets, ME concentration should be optimised by an iterative procedure, not entered as a fixed value. This iteration must calculate profit margins by taking into account the way in which feed intake and saleable outputs vary with ME concentration. In the case of broilers, adjustment of critical amino acid contents in direct proportion to ME concentration does not result in birds of equal fatness. To avoid an increase in fat deposition at higher energy levels, it is proposed that amino acid specifications should be adjusted in proportion to changes in the net energy supplied by the feed. A model is available which will both interpret responses to amino acids in laying trials and give economically optimal estimates of amino acid inputs for practical feed formulation. Flocks coming into lay and flocks nearing the end of the pullet year have bimodal distributions of rates of lay, with the result that calculations of requirement based on mean output will underestimate the optimal amino acid input for the flock. Chick diets containing surplus protein can lead to impaired utilisation of the first-limiting amino acid. This difficulty can be avoided by stating amino acid requirements as a proportion of the protein.

Modelling of Johne's disease control options in beef cattle: a decision support approach

Johne's disease in cattle is a contagious wasting disease caused by Mycobacterium avium subspecies paratuberculosis (MAP). Johne's infection is characterised by a long subclinical phase and can therefore go undetected for long periods of time during which substantial production losses can occur. The protracted nature of Johne's infection therefore presents a challenge for both veterinarians and farmers when discussing control options due to a paucity of information and limited test performance when screening for the disease. The objectives were to model Johne's control decisions in suckler beef cattle using a decision support approach, thus implying equal focus on ‘end user’ (veterinarian) participation whilst still focusing on the technical disease modelling aspects during the decision support model development. The model shows how Johne's disease is likely to affect a herd over time both in terms of physical and financial impacts. In addition, the model simulates the effect on production from two different Johne's control strategies; herd management measures and test and cull measures. The article also provides and discusses results from a sensitivity analysis to assess the effects on production from improving the currently available test performance. Output from running the model shows that a combination of management improvements to reduce routes of infection and testing and culling to remove infected and infectious animals is likely to be the least-cost control strategy.

Performance evaluation of routing protocols for MANETs with known connectivity patterns using evolving graphs

The assessment of routing protocols for mobile wireless networks is a difficult task, because of the networks` dynamic behavior and the absence of benchmarks. However, some of these networks, such as intermittent wireless sensors networks, periodic or cyclic networks, and some delay tolerant networks (DTNs), have more predictable dynamics, as the temporal variations in the network topology can be considered as deterministic, which may make them easier to study. Recently, a graph theoretic model-the evolving graphs-was proposed to help capture the dynamic behavior of such networks, in view of the construction of least cost routing and other algorithms. The algorithms and insights obtained through this model are theoretically very efficient and intriguing. However, there is no study about the use of such theoretical results into practical situations. Therefore, the objective of our work is to analyze the applicability of the evolving graph theory in the construction of efficient routing protocols in realistic scenarios. In this paper, we use the NS2 network simulator to first implement an evolving graph based routing protocol, and then to use it as a benchmark when comparing the four major ad hoc routing protocols (AODV, DSR, OLSR and DSDV). Interestingly, our experiments show that evolving graphs have the potential to be an effective and powerful tool in the development and analysis of algorithms for dynamic networks, with predictable dynamics at least. In order to make this model widely applicable, however, some practical issues still have to be addressed and incorporated into the model, like adaptive algorithms. We also discuss such issues in this paper, as a result of our experience.

Dietary portfolio approach to reducing the risk of cardiovascular disease : the polymeal revisited

Aims: The Polymeal was first proposed as a 'tastier and safer' alternative to a polypharmacy approach to cardiovascular disease risk reduction. The present study aimed to examine the affordability of the Polymeal, and to propose modifications based on economic considerations, and the latest scientific evidence, to achieve consistency with current public health recommendations.

Methods: Prices for each food component specified in the Polymeal were obtained from a major and independent supermarket chain in a representative middle socioeconomic demographic region of metropolitan Melbourne, Australia. Items included fish (114 g, four times/week), fruits and vegetables (400 g/day), dark chocolate (100 g/day), garlic (2.7 g/day), almonds (68 g/day) and red wine (150 mL/day). Prices were calculated using an average of the major brands, or the most commonly eaten fruits, vegetables or fish. Modifications of the Polymeal were proposed based on published research and public health recommendations since the Polymeal was first proposed.

Results: Average price of the Polymeal was AU$11.89 per day falling to AU$8.46 if the cheapest food items were chosen. Modifications to the Polymeal included: consuming fish oil capsules instead of fish, reduction in the quantity of dark chocolate and removal of red wine. These modifications halved the cost of the Polymeal, while choosing the cheapest food items further lowered the cost to AU$3.49 per day. Modification of the Polymeal gave substantial reductions in both energy and saturated fat (51% and 84%, respectively).

Conclusion: The modified Polymeal is a more affordable variation of the Polymeal, which takes into account current scientific evidence and public health recommendations.

The use of contracting out : a case study of decision-making and organisational learning in local government

One objective of government is to provide services at least cost whilst maintaining or improving service quality. While this may be an important objective, questions are being asked whether services can be provided more efficiently and effectively by the private rather than by the government sector. The shift of service provision from the public to the private sector is known as outsourcing or contracting out. The objective in this study is to critically examine whether the contracting out of services by local government to the private sector is an efficient management practice.

The contracting out of Parks and Grounds Maintenance services for the City of Kingston in the State of Victoria, Australia, is used as an exploratory case study to identify the variables associated with management decision-making in the contracting out process. Factors relevant to the contracting out decision such as the criteria used in selecting a contractor; the evaluation of a contractor’s performance; and any subsequent changes to management practice relating to the contracting out of the services are identified and discussed.

Political forces were found to be an important consideration in the initial contracting out decision, and the selection of a contractor was influenced by the potential to avoid costs. It was also found that under-bidding and associated cost /profit constraints lead to contractors engaging in non-sustainable environmental practices which resulted in the degradation of the local government’s Parks and Gardens assets. A sustainable asset management philosophy as opposed to an avoidable costs approach now underpins the contracting out process to ensure the preservation of such assets. Further, administrative processes have been revised to make tender specifications more prescriptive, critical components of services have been brought back in-house, and management practices have been amended so that a greater degree of control is exercised over contractors’ activities.

Predicting landscape-genetic consequences of habitat loss, fragmentation and mobility for multiple species of woodland birds

Inference concerning the impact of habitat fragmentation on dispersal and gene flow is a key theme in landscape genetics. Recently, the ability of established approaches to identify reliably the differential effects of landscape structure (e.g. land-cover composition, remnant vegetation configuration and extent) on the mobility of organisms has been questioned. More explicit methods of predicting and testing for such effects must move beyond post hoc explanations for single landscapes and species. Here, we document a process for making a priori predictions, using existing spatial and ecological data and expert opinion, of the effects of landscape structure on genetic structure of multiple species across replicated landscape blocks. We compare the results of two common methods for estimating the influence of landscape structure on effective distance: least-cost path analysis and isolation-by-resistance. We present a series of alternative models of genetic connectivity in the study area, represented by different landscape resistance surfaces for calculating effective distance, and identify appropriate null models. The process is applied to ten species of sympatric woodland-dependant birds. For each species, we rank a priori the expectation of fit of genetic response to the models according to the expected response of birds to loss of structural connectivity and landscape-scale tree-cover. These rankings (our hypotheses) are presented for testing with empirical genetic data in a subsequent contribution. We propose that this replicated landscape, multi-species approach offers a robust method for identifying the likely effects of landscape fragmentation on dispersal.

A novel approach to priority-setting for HIV prevention among adults in Uganda

 The study used economic and ethical theory, empirical evidence and local stakeholders views to develop a checklist of features of an ideal approach to priority-setting. This was used to determine the ideal approach for priority-setting for HIV prevention in Uganda. The Assessing Cost-Effectiveness (ACE) approach was determined to be the ideal approach using the checklist developed. A pilot study using the approach determined that in Uganda, blood safety and HIV counselling interventions are the most cost-effective, equitable and acceptable interventions. Mass media interventions were the least cost-effective and affordable, had a weak evidence base but were more acceptable. On the other hand interventions targeting Most-at-risk-populations were cost-effective but least acceptable. The study demonstrates the importance of balancing technical rigor and due process to ensure buy-in by stakeholders.

Corridors for Wolf Reintroduction to Maine

Maine has been identified as holding potential for the reintroduction of wolves. Due to the long ranges of wolves, it is beneficial to map potential corridors of movement. This project analyzes the best routes for movement from suitable habitats in New York to suitable habitats in Maine. It shows the paths likely to be taken by wolves, based on their affinity for mixed and coniferous forest and their avoidance of areas of high road density. These corridors are identified using least cost path analysis and take into account topography as well as forest and road densities.

Developing a Model for Pedestrian Route Selection at Colby

Millions of unconscious calculations are made daily by pedestrians walking through the Colby College campus. I used ArcGIS to make a predictive spatial model that chose paths similar to those that are actually used by people on a regular basis. To make a viable model of how most travelers choose their way, I considered both the distance required and the type of traveling surface. I used an iterative process to develop a scheme for weighting travel costs which resulted in accurate least-cost paths to be predicted by ArcMap. The accuracy was confirmed when the calculated routes were compared to satellite photography and were found to overlap well-worn “shortcuts” taken between the paved paths throughout campus.

Multi-Objective Pipe Smoothing Genetic Algorithm For Water Distribution Network Design

This paper describes the formulation of a Multi-objective Pipe Smoothing Genetic Algorithm (MOPSGA) and its application to the least cost water distribution network design problem. Evolutionary Algorithms have been widely utilised for the optimisation of both theoretical and real-world non-linear optimisation problems, including water system design and maintenance problems. In this work we present a pipe smoothing based approach to the creation and mutation of chromosomes which utilises engineering expertise with the view to increasing the performance of the algorithm whilst promoting engineering feasibility within the population of solutions. MOPSGA is based upon the standard Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and incorporates a modified population initialiser and mutation operator which directly targets elements of a network with the aim to increase network smoothness (in terms of progression from one diameter to the next) using network element awareness and an elementary heuristic. The pipe smoothing heuristic used in this algorithm is based upon a fundamental principle employed by water system engineers when designing water distribution pipe networks where the diameter of any pipe is never greater than the sum of the diameters of the pipes directly upstream resulting in the transition from large to small diameters from source to the extremities of the network. MOPSGA is assessed on a number of water distribution network benchmarks from the literature including some real-world based, large scale systems. The performance of MOPSGA is directly compared to that of NSGA-II with regard to solution quality, engineering feasibility (network smoothness) and computational efficiency. MOPSGA is shown to promote both engineering and hydraulic feasibility whilst attaining good infrastructure costs compared to NSGA-II.

Um estudo algorítmico de problemas logísticos na indústria de petróleo e gás natural

This work consists on the study of two important problems arising from the operations of petroleum and natural gas industries. The first problem the pipe dimensioning problem on constrained gas distribution networks consists in finding the least cost combination of diameters from a discrete set of commercially available ones for the pipes of a given gas network, such that it respects minimum pressure requirements at each demand node and upstream pipe conditions. On its turn, the second problem the piston pump unit routing problem comes from the need of defining the piston pump unit routes for visiting a number of non-emergent wells in on-shore fields, i.e., wells which don t have enough pressure to make the oil emerge to surface. The periodic version of this problem takes into account the wells re-filling equation to provide a more accurate planning in the long term. Besides the mathematical formulation of both problems, an exact algorithm and a taboo search were developed for the solution of the first problem and a theoretical limit and a ProtoGene transgenetic algorithm were developed for the solution of the second problem. The main concepts of the metaheuristics are presented along with the details of their application to the cited problems. The obtained results for both applications are promising when compared to theoretical limits and alternate solutions, either relative to the quality of the solutions or to associated running time

Dieta hiperlipídica com farinha de soja como fonte proteica: utilização na seleção de ratos propensos e resistentes à obesidade

OBJETIVO: Desenvolver uma dieta hiperlipídica de baixo custo, tendo farinha de soja como fonte proteica, que seja eficiente na seleção de ratos propensos e resistentes à obesidade e que permita alcançar fenótipo obeso nos animais propensos. Além desses requisitos, a dieta deve ser palatável e não rejeitada a curto prazo pelo animal. MÉTODOS: A dieta proposta foi obtida misturando-se leite condensado (15,5%), amendoim (18,5%), farinha de soja (20,0%), óleo de milho (6,0%), ração Bio Tec (30,0%) e bolacha wafer de chocolate (10,0%). A mistura foi peletizada e submetida à análise bromatológica. A dieta foi ofertada a ratos Wistar durante uma semana; posteriormente, os animais foram divididos em três grupos, de acordo com o ganho de peso. O terço superior foi considerado propenso à obesidade e o terço inferior, resistente à obesidade. Após 80 dias de oferta da dieta, os animais foram sacrificados e foram quantificados o peso corpóreo, consumo alimentar, gorduras retroperitoneal, periepididimal, de carcaça e gorduras totais. RESULTADOS: Verificou-se que a dieta apresentava 5,31kcal/g, com a seguinte composição: 22,3% de gordura, 22,2% de proteína, 15,9% de fibra, estimando-se 35,7% de carboidrato. Ratos propensos à obesidade, alimentados por 87 dias com a dieta hipercalórica, apresentaram peso corpóreo, gorduras retroperitoneal, periepididimal e totais significativamente maiores do que animais resistentes à obesidade (p<0,05). O consumo de alimentos também foi maior em animais propensos (p<0,05). Verificou-se também que a substituição da caseína pela farinha de soja, como componente proteico da ração, levou à diminuição de 96,0% no custo do estudo. CONCLUSÃO: A dieta formulada com farinha de soja apresentou custo reduzido e foi capaz de desenvolver o fenótipo obeso em ratos propensos, à semelhança do observado na literatura com outras dietas.

The influence of landscape characteristics and home-range size on the quantification of landscape-genetics relationships

A common approach used to estimate landscape resistance involves comparing correlations of ecological and genetic distances calculated among individuals of a species. However, the location of sampled individuals may contain some degree of spatial uncertainty due to the natural variation of animals moving through their home range or measurement error in plant or animal locations. In this study, we evaluate the ways that spatial uncertainty, landscape characteristics, and genetic stochasticity interact to influence the strength and variability of conclusions about landscape-genetics relationships. We used a neutral landscape model to generate 45 landscapes composed of habitat and non-habitat, varying in percent habitat, aggregation, and structural connectivity (patch cohesion). We created true and alternate locations for 500 individuals, calculated ecological distances (least-cost paths), and simulated genetic distances among individuals. We compared correlations between ecological distances for true and alternate locations. We then simulated genotypes at 15 neutral loci and investigated whether the same influences could be detected in simple Mantel tests and while controlling for the effects of isolation-by distance using the partial Mantel test. Spatial uncertainty interacted with the percentage of habitat in the landscape, but led to only small reductions in correlations. Furthermore, the strongest correlations occurred with low percent habitat, high aggregation, and low to intermediate levels of cohesion. Overall genetic stochasticity was relatively low and was influenced by landscape characteristics.

Nutritional support and outcome in hospitalized dogs and cats

This study investigated the effect of assisted nutritional support on the outcome and time of hospitalization (TH) of dogs and cats. The study compared two groups of 400 hospitalized animals. The animals in group 1 did not receive assisted nutritional support because they were hospitalized before the clinical nutrition service was implemented; animals in group 2 were nutritionally managed. Animals in group 1 received a low-cost diet with no consumption control. Group 2 animals had their maintenance energy requirement (MER) calculated, received a high-protein and high-energy super-premium diet, had their caloric intake (CI) monitored, and received enteral and parenteral nutritional support when necessary. The statistical analysis of the results included the standard T test (group 1 versus group 2) and chisquare and Spearman's correlation to evaluate group 2 (CI and outcome, body condition score (BCS) and outcome, BCS and CI). For group 2, favorable outcome (FO), defined as the percent responding to therapy and dis-charged from the hospital, was 83%, and the TH was 8.59 days. These values were lower (P < .001) for group 1 (63.2% FO and TH of 5.7 days). For group 2, 65.5% of the animals received voluntary consumption (93.1% outcome), 14.5% received enterai support (67.9% FO), 6.5% received parenteral support (68% FO), and 6.17% did not eat (38.5% FO), demonstrating an association between the type of nutritional support and outcome (P < .01). Group 2 animals that received 0% to 33% of their MER had 62.9% FO, and those receiving more than 67% had 94.3% FO, which shows that lower mortality rates are associated with higher CI (P < .001). TH was higher for animals with higher CI (P < .001). The BCS did not correlate with Cl (P > .05) but did correlate with outcome (P < .01). FO was 68.7% for animals with low BCS, 85.7% for animals with ideal BCS, and 86.6% for overweight animals. Nutritional support could allow for longer therapies, thus increasing the TH and FO rate.

Ecologia da paisagem para avaliação da idoneidade de redes ecológicas, como subsídio para o planejamento territorial

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)