853 research outputs found

    Node-attribute graph layout for small-world networks

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    Small-world networks are a very commonly occurring type of graph in the real-world, which exhibit a clustered structure that is not well represented by current graph layout algorithms. In many cases we also have information about the nodes in such graphs, which are typically depicted on the graph as node colour, shape or size. Here we demonstrate that these attributes can instead be used to layout the graph in high-dimensional data space. Then using a dimension reduction technique, targeted projection pursuit, the graph layout can be optimised for displaying clustering. The technique out-performs force-directed layout methods in cluster separation when applied to a sample, artificially generated, small-world network

    Towards an enterprise architecture framework for community policing

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    The activities of policing and community policing may be considered fundamentally different from the processes that occur within business organisations; however, at a high-level both groups still require people, systems and processes in order to effectively carry out their functions and achieve their goals. Therefore, through the identification of community policing (CP) stakeholders, the activities, processes and information flows and the governance,training and management procedures all carried out under CP’s remit we are able to understand the current state of play within CP, how we might wish CP to be in the future and the processes that need to be put in place to get there. Using an Enterprise Architecture approach we provide an initial formal description of CP, its interdependencies, relationships, principles and guidelines in order to lay the groundwork for a fully featured CP model in Europe

    OSINT from a UK perspective: considerations from the law enforcement and military domains

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    Both law enforcement and the military have incorporated the use of open source intelligence (OSINT) into their daily operations. Whilst there are observable similarities in how these organisations employ OSINT there are also differences between military and policing approaches towards the understanding of open source information and the goals for the intelligence gathered from it. In particular, we focus on evaluating potential similarities and differences between understandings and approaches of operational OSINT between British law enforcement agencies and UK based MoD researchers and investigators. These observations are gathered towards the aim of increasing interoperability as well as creating opportunities for specific strengths and competencies of particular organisational approaches to be shared and utilised by both the military and law enforcement

    Using Social Media for Crisis Response : The ATHENA System

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    Social media is now prevalent in all aspects of society. Any major news event is now accompanied by a stream of real-time social media posts. The ATHENA system turns this stream of information into a vital resource in crisis and disaster response for Law Enforcement agencies (LEAs). The ATHENA system scans the social media environment during a crisis, recognises and collects information relevant to the crisis, and synthesises that information into credible and actionable reports. Via an automated process of classification, these reports are delivered by ATHENA to the stakeholders that most need the information: from the LEA Command and Control Centre managing the crisis, to the first responders on the ground, and to the citizens themselves via a mobile application. The automatic extraction of location data from social media posts allows ATHENA to pin-point crisis activity and resources on a map-based user interface. The citizen, via a mobile device, is provided with fast and reliable alerts of danger, the location of medical help and vital supplies, and direct communication with emergency services. The first responder is given the same intelligence along with additional information pertinent to their search and rescue actions. Command and Control have the ultimate access to all information being processed by the system, where their decision making is supported by computer generated estimates of priority and credibility. Command and Control have the responsibility of validating crisis information before it is disseminated to the public. Social media are also key to the dissemination of crisis information. Dedicated social media entities on the most popular sites are maintained by Command and Control to provide a focal information, advice and instruction broadcasting presence as a trusted source. These social media presences are designed to encourage collaboration between the public and first responders and to provide a channel for communication between all the crisis stakeholders. Thus ATHENA empowers the LEA and the public with a collective intelligence, enabling both to safeguard themselves and others during a crisis

    Mitochondrial Optic Atrophy (OPA) 1 Processing Is Altered in Response to Neonatal Hypoxic-Ischemic Brain Injury

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    Perturbation of mitochondrial function and subsequent induction of cell death pathways are key hallmarks in neonatal hypoxic-ischemic (HI) injury, both in animal models and in term infants. Mitoprotective therapies therefore offer a new avenue for intervention for the babies who suffer life-long disabilities as a result of birth asphyxia. Here we show that after oxygen-glucose deprivation in primary neurons or in a mouse model of HI, mitochondrial protein homeostasis is altered, manifesting as a change in mitochondrial morphology and functional impairment. Furthermore we find that the mitochondrial fusion and cristae regulatory protein, OPA1, is aberrantly cleaved to shorter forms. OPA1 cleavage is normally regulated by a balanced action of the proteases Yme1L and Oma1. However, in primary neurons or after HI in vivo, protein expression of YmelL is also reduced, whereas no change is observed in Oma1 expression. Our data strongly suggest that alterations in mitochondria-shaping proteins are an early event in the pathogenesis of neonatal HI injury

    Citizen Perspectives on Necessary Safeguards to the Use of AI by Law Enforcement Agencies

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    In the light of modern technological advances, Artificial Intelligence (AI) is relied upon to enhance performance, increase efficiency, and maximize gains. For Law Enforcement Agencies (LEAs), it can prove valuable in optimizing evidence analysis and establishing proactive prevention measures. Nevertheless, citizens raise legitimate concerns around privacy invasions, biases, inequalities, and inaccurate decisions. This study explores the views of 111 citizens towards AI use by police through interviews, and integrates societal concerns along with propositions of safeguards from negative effects of AI use by LEAs in the context of cybercrime and terrorism.Comment: CSCE 2022 Conference Proceeding

    AUGGMED: developing multiplayer serious games technology to enhance first responder training

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    Many serious games are designed for single player access only. However, the benefits of the immersive nature of serious games and virtual reality may be enhanced when teams who usually train together can also do so within a virtual environment. The purpose of this article is to outline the architecture of the AUGGMED serious game and discuss the technical challenges faced when creating a multiplayer counter terrorism training serious game utilising virtual reality, touch screen interfaces and a realistic crowd simulation. AUGGMED is designed using an agile modular approach utilising user centred design principles, with each technical developer owning a set of tools which are continuously integrated, piloted, and improved throughout the development cycle. Constant piloting with first responders enables iterative improvements, which meet end user training requirements. Building a multiplayer training game specialised in providing realistic simulation of real situations, and enabling users to interface with the simulation through virtual reality identifies a large set of technical challenges. The article identifies a number of the challenges faced while developing AUGGMED and the solutions used to overcome them, including barriers and logistical/technical difficulties to integrating multiple existing (Exodus crowd simulation) and new (virtual reality) technologies into a single serious game for training first responders
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