International sentencing law: in search of a justification and coherent framework

An international sentencing jurisprudence is emerging from the decisions by the International Criminal Tribunal for the Former Yugoslavia (ICTY or the Yugoslav tribunal) and the International Criminal Tribunal for Rwanda (ICTR or the Rwanda tribunal) (collectively, 'the tribunals'). This article examines international sentencing law and practice and discusses the justification for the practice. International sentencing law has several objectives. The main goals are reconciliation, deterrence, retribution and rehabilitation. The sentencing inquiry is marked by a high degree of discretion and has resulted in sentencers developing a large amount of aggravating and mitigating considerations, such as being in a position of authority, remorse and good character. It is argued that the current international sentencing approach is flawed - fundamentally so. Most of the stated goals of international sentencing in the form of reconciliation, retribution and rehabilitation are either highly speculative or misguided. The only justification for the practice is general deterrence. This is, however, significantly undermined by the selective and infrequent enforcement of crimes within the jurisdiction of such tribunals. The stated aggravated and mitigating considerations are not valid given that they are not justified by reference to the stated aims of sentencing and only serve to undermine the search for a penalty which is commensurate the serious of the offence. This article suggests a coherent framework for international sentencing policy and practice.

An approach to search and exploration through mixed-initiative

Generative design environments need support for human intervention as well as sound computational formalisms. A systematic approach to integrating the two, formal generation and the exploratory, is lacking. In this paper, we posit the possibility of a design support system that combines formal search with user driven exploration. Our approach is to cast the interaction between the user and the generative formalism as agent collaboration in a mixed-initiative environment. We describe the role of interaction and agency in an experimental mixed-initiative design support system, FOLDS and demonstrate its application.

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.