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

An empirical study of encoding schemes and search strategies in discovering causal networks

Efficiently inducing precise causal models accurately reflecting given data sets is the ultimate goal of causal discovery. The algorithm proposed by Wallace et al. [10] has demonstrated its ability in discovering Linear Causal Models from data. To explore the ways to improve efficiency, this research examines three different encoding schemes and four searching strategies. The experimental results reveal that (1) specifying parents encoding method is the best among three encoding methods we examined; (2) In the discovery of linear causal models, local Hill climbing works very well compared to other more sophisticated methods, like Markov Chain Monte Carto (MCMC), Genetic Algorithm (GA) and Parallel MCMC searching.

A comparison of search functions and other navigational tools provided on government websites

This paper reports the outcomes of a study that evaluated the effectiveness of search functions compared to other navigational tools available on government websites. The study used an observation exercise triangulated with a post observation interview. Results suggest that while there wasn't any significant difference in effectiveness between search functions and other navigational tools, the skill with which the search function is implemented and participants' familiarity with the website, are fundamental determinants of users' opinions. Implications of the findings for research and practice are discussed.

Adaptive communal detection in search of adversarial identity crime

This paper is on adaptive real-time searching of credit application data streams for identity crime with many search parameters. Specifically, we concentrated on handling our domain-specific adversarial activity problem with the adaptive Communal Analysis Suspicion Scoring (CASS) algorithm. CASS's main novel theoretical contribution is in the formulation of State-of- Alert (SoA) which sets the condition of reduced, same, or heightened watchfulness; and Parameter-of-Change (PoC) which improves detection ability with pre-defined parameter values for each SoA. With pre-configured SoA policy and PoC strategy, CASS determines when, what, and how much to adapt its search parameters to ongoing adversarial activity. The above approach is validated with three sets of experiments, where each experiment is conducted on several million real credit applications and measured with three appropriate performance metrics. Significant improvements are achieved over previous work, with the discovery of some practical insights of adaptivity into our domain.

A resource-search and routing algorithm within PCDN autonomy area

This paper studied a new type of network model; it is formed by the dynamic autonomy area, the structured source servers and the proxy servers. The new network model satisfies the dynamics within the autonomy area, where each node undertakes different tasks according to their different abilities, to ensure that each node has the load ability fit its own; it does not need to exchange information via the central servers, so it can carry out the efficient data transmission and routing search. According to the highly dynamics of the autonomy area, we established dynamic tree structure-proliferation system routing and resource-search algorithms and simulated these algorithms. Test results show the performance of the proposed network model and the algorithms are very stable.

OzBot TM - Haptic augmentation of a teleoperated robotic platform for search and rescue operations

A continued increase in computing power, sensor capability, software functionality, immersive interfaces and hardware modularity has given robot designers seemingly endless potential in the area of mobile robotics.  While some mobile robotic system designers are focusing on expensive, full-featured platforms, developers are realising the advantages of emerging technology in providing small, low-cost mobile reconnaissance vehicles as expendable teleoperated robotic systems.  The OzBot^TM mobile reconnaissance platform presents one such system.  The design objectives of the OzBot^TM platform focus on the development of inexpensive, lightweight carry-case sized robots for search and rescue operations, law enforcement scenarios and hazardous environment inspection.  The incorporation of Haptic augmentation provides the teleoperator with improved task immersion for an outdoor search and rescue scenario.  Achieved in cooperation with law enforcement agencies within Australia, this paper discusses the performance of the first four revisions of the OzBot^TM platform.

In search of a future strategy for market research services : clients' views on market research suppliers

The market research environment is transforming rapidly and research suppliers may not be keeping up with changing research client needs. This paper examines research client perceptions of current research supplier performance and future competencies. The key findings are that research suppliers need to move their staffing profiles beyond technical expertise in conducting research (generating outputs) to functional expertise in understanding research outcomes within internal and external organizational contexts. The transition from data collector to expert advisor may involve anew business model and new pricing strategies based on intellectual expertise rather than margins on data collection services.

In search of coherent jurisprudence for international criminal law : correlating universal human responsibilities with universal human rights

I. The Evolution of International Criminal Law International criminal justice concerns breaches of international rules entailing the personal criminal liability of individuals (as opposed to the State for which the individuals may act as agents or organs), and presently includes acts such as genocide, torture, crimes against humanity, aggression and terrorism. ... A rule stating: any act of armed conflict which directly causes the death of a civilian is a war crime unless it can be shown that the military advantage gained by the attack outweighs the harm. ... Thus, so far as international criminal law is concerned any act during armed conflict which results in the death or injury to a person who does not pose a direct threat to the life of the accused should be a war crime. ... Pursuant to the Rome Statute and as a matter of customary international law torture is a war crime when performed in the context of an armed conflict, and a crime against humanity when it is part of systematic criminal conduct. ... Torture can also constitute an individual international crime, even where it does not satisfy the criteria of a war crime or crime against humanity. ...