Developing a Communication link between Agents and cross Platform IDE

The main objective of this thesis work is to develop communication link between Runrev Revolution (IDE) and JADE (Multi-Agent System) through Socket programming using TCP/IP layer. These two independent platforms are connected using socket programming technique. Socket programming is considered to be newly emerging technology among these two platforms, the work done in this thesis work is considered to be a prototype.A Graphical simulation model is developed by salixphere (Company in Hedemora) to simulate logistic problems using Runrev Revolution (IDE). The simulation software/program is called “BIOSIM”. The logistic problems are complex, and conventional optimization techniques are unlikely very successful. “BIOSIM” can demonstrate the graphical representation of logistic problems depending upon the problem domains. As this simulation model is developed in revolution programming language (Transcript) which is dynamically typed and English-like language, it is quite slow compared to other high level programming languages. The object of this thesis work is to add intelligent behaviour in graphical objects and develop communication link between Runrev revolution (IDE) and JADE (Multi-Agent System) using TCP/IP layers.The test shows the intelligent behaviour in the graphical objects and successful communication between Runrev Revolution (IDE) and JADE (Multi-Agent System).

Genome-wide association mapping in a wild avian population identifies a link between genetic and phenotypic variation in a life-history trait

Understanding the genetic basis of traits involved in adaptation is a major challenge in evolutionary biology but remains poorly understood. Here, we use genome-wide association mapping using a custom 50 k single nucleotide polymorphism (SNP) array in a natural population of collared flycatchers to examine the genetic basis of clutch size, an important life-history trait in many animal species. We found evidence for an association on chromosome 18 where one SNP significant at the genome-wide level explained 3.9% of the phenotypic variance. We also detected two suggestive quantitative trait loci (QTLs) on chromosomes 9 and 26. Fitness differences among genotypes were generally weak and not significant, although there was some indication of a sex-by-genotype interaction for lifetime reproductive success at the suggestive QTL on chromosome 26. This implies that sexual antagonism may play a role in maintaining genetic variation at this QTL. Our findings provide candidate regions for a classic avian life-history trait that will be useful for future studies examining the molecular and cellular function of, as well as evolutionary mechanisms operating at, these loci.

Tanis: a link between type 2 diabetes and inflammation?

Here we describe a novel protein, which we have named Tanis, that is implicated in type 2 diabetes and inflammation. In Psammomys obesus, a unique polygenic animal model of type 2 diabetes and the metabolic syndrome, Tanis is expressed in the liver in inverse proportion to circulating glucose (P = 0.010) and insulin levels (P = 0.004) and in direct proportion with plasma triglyceride concentrations (P = 0.007). Hepatic Tanis gene expression was markedly increased (3.1-fold) after a 24-h fast in diabetic but not in nondiabetic P. obesus. In addition, glucose inhibited Tanis gene expression in cultured hepatocytes (P = 0.006) as well as in several other cell types (P = 0.001–0.011). Thus, Tanis seems to be regulated by glucose and is dysregulated in the diabetic state. Yeast-2 hybrid screening identified serum amyloid A (SAA), an acute-phase inflammatory response protein, as an interacting protein of Tanis, and this was confirmed by Biacore experiments. SAA and other acute-phase proteins have been the focus of recent attention as risk factors for cardiovascular disease, and we contend that Tanis and its interaction with SAA may provide a mechanistic link among type 2 diabetes, inflammation, and cardiovascular disease.

Generalized pseudo-likelihood estimates for markov random fields on lattice

In this paper we generalize Besag's pseudo-likelihood function for spatial statistical models on a region of a lattice. The correspondingly defined maximum generalized pseudo-likelihood estimates (MGPLEs) are natural extensions of Besag's maximum pseudo-likelihood estimate (MPLE). The MGPLEs connect the MPLE and the maximum likelihood estimate. We carry out experimental calculations of the MGPLEs for spatial processes on the lattice. These simulation results clearly show better performances of the MGPLEs than the MPLE, and the performances of differently defined MGPLEs are compared. These are also illustrated by the application to two real data sets.

Volunteering and social capital in regional Victoria

The link between volunteerism and social capital has received some attention in Australia in recent years. Of particular note to this paper is the work of Baum, Bush, Modra, Murray, Cox, Alexander, and Potter (2000), who described the contribution volunteers made to social capital in a metropolitan setting - the western suburbs of Adelaide, South Australia. The aim of this current study is twofold, to describe the contribution volunteers make to social capital through participation, reciprocity and social trust in a regional and rural setting; and to compare findings with those relating to a metropolitan environment. In the light of differing volunteer patterns in rural and regional environments compared to metropolitan environments, we hypothesised that the relationship between volunteerism and indicators of social capital would also be different. The results from this study support the findings of Baum, Modra, Bush, Cox, Cooke, and Potter (1999) and therefore reinforce the premise that volunteers make a substantial. contribution to social capital. While greater numbers of people who live in rural or regional areas undertake volunteer work, we found there are more similarities between the rural/regional and metropolitan sectors regarding volunteerism than there are differences.

Identifying markov blankets using lasso estimation

Determining the causal relation among attributes in a domain is a key task in data mining and knowledge discovery. The Minimum Message Length (MML) principle has demonstrated its ability in discovering linear causal models from training data. To explore the ways to improve efficiency, this paper proposes a novel Markov Blanket identification algorithm based on the Lasso estimator. For each variable, this algorithm first generates a Lasso tree, which represents a pruned candidate set of possible feature sets. The Minimum Message Length principle is then employed to evaluate all those candidate feature sets, and the feature set with minimum message length is chosen as the Markov Blanket. Our experiment results show the ability of this algorithm. In addition, this algorithm can be used to prune the search space of causal discovery, and further reduce the computational cost of those score-based causal discovery algorithms.

Alexander the Great, the dahlia, and the tortoise

Some of the problems of establishing the cause of the death of Alexander the Great are like the attempts to find causes other than hysteria for Anna O.'s symptoms. The more general problem of using plausibility as a criterion of the truth of such reconstructions are illustrated by the arguments embedded in Tom Stoppard's Arcadia.

Using Normative Markov Decision Processes for Evaluating Electronic Contracts: A Case Study in a Simulated Aerospace Aftermarket

Before signing electronic contracts, a rational agent should estimate the expected utilities of these contracts and calculate the violation risks related to them. In order to perform such pre-signing procedures, this agent has to be capable of computing a policy taking into account the norms and sanctions in the contracts. In relation to this, the contribution of this work is threefold. First, we present the Normative Markov Decision Process, an extension of the Markov Decision Process for explicitly representing norms. In order to illustrate the usage of our framework, we model an example in a simulated aerospace aftermarket. Second, we specify an algorithm for identifying the states of the process which characterize the violation of norms. Finally, we show how to compute policies with our framework and how to calculate the risk of violating the norms in the contracts by adopting a particular policy.

Performing on boards: the link between governance and corporate reputation in nonprofit arts boards

This paper is built on the hypothesis that good governance and reputation are inextricably linked. It takes the governance of performing arts organizations in Queensland, Australia as a case study, and focuses on the role of the nonprofit arts board and its practices of governance and measures of effectiveness. Because of the financial constraints under which arts companies operate, their sustainability relies on audiences and on government or corporate support. The reputation of the company flows from the board's capacity to manage finances, stakeholders and mission. In-depth interviews with board chairs and general managers revealed that strong management systems and rigorous financial reporting are the drivers of good governance. Innovation in product development and artistic excellence are secondary in reputation to these measures. The paper proposes a model of good governance for arts boards.

Decades of research efforts to link economic and environmental performance: still data in search of a theory?

With the proliferation of social investment vehicles, stakeholders, particularly investors, are increasingly aware of the relationship between economic, social and environmental performance, and disclosure to external parties. This is particularly evident in The Securities and Exchange Commission's Environmental Disclosure Rules. The thesis of this paper is that, after three decades of academic and professional research efforts, there are still no firm proactive guidelines to firmly link the financial performance with environmental and social performance. The purpose of this paper is to revisit empirical research efforts spanning three decades in order to delineate potential links that may assist in systematic, comparable reporting

Teaching for life : generic capabilities that link university learning with workplace learning

Business schools are under increasing pressure to enhance the learning capability and employability of graduates. Business professional institutes and employer organizations are demanding more than the technical knowledge and skills required to perform discipline/professional specific tasks. They want graduates who can demonstrate capabilities in communication, teamwork, risk taking, decision making, problem solving, critical thinking, analytical reasoning, visioning and innovation, leadership, ethical practices, appreciation of diversity, and a commitment to social justice. Evidence in literature and reports (Karpin, 1995; Kirby, 2000; Commonwealth of Australia, 2002; Nelson, 2002) and in test data (McCowan & Richardson, 1998; Employer Survey, 1998; DETYA, 2000) shows that the employability gap7 is closed when graduates possess these generic capabilities. What is important, however, is the increasing research showing that the strategies used to develop generic capabilities lead to improved learning, both in university courses and in the workplace.