The problems of offenders with mental disorders: A plurality of perspectives within a single mental health care organisation

Managers, doctors, nurses, occupational therapists, social workers, psychologists, unqualified staff and service users were interviewed for a qualitative study of risk management and rehabilitation in an inner city medium secure forensic mental health care unit. Different professional orientations to service user problems were identified. Doctors focused primarily on the diagnosis of mental disorder, which they managed mainly through pharmaceutical interventions. Psychologists were principally concerned with personal factors, for example service user insight into their biographical history. Occupational therapists concentrated mainly on daily living skills, and social workers on post-discharge living arrangements. Some front line nurses, held accountable for security lapses, adopted a criminogenic approach. Service users were more likely than professionals to understand their needs in terms of their wider life circumstances. These differences are explored qualitatively in relation to four models of crossdisciplinary relationships: monoprofessional self-organisation combined with restricted communication; hermeneutic reaching out to other perspectives; the establishment of interdisciplinary sub-systems; and transdisciplinary merger. Relationships between professions working in this unit, as portrayed in qualitative interviews, corresponded mainly to the first model of monoprofessional self-organisation. Reasons for restricted crossdisciplinary understanding, particularly the wide power/status differences between the medical and other professions, and between staff and patients, are discussed

Assessing the probability of patients reoffending after discharge from low to medium secure forensic mental health services: An inductive prevention paradox

Citizens of developed societies are troubled by those who commit ‘irrational' crimes against the person. Reoffending by ex-patients following their release from secure mental health services triggers particularly intense angst when amplified by media and political scrutiny. Forensic mental health service providers are expected to minimise the occurrence of such transgressions by releasing only those patients who are judged acceptably unlikely to reoffend. However, reoffending probabilities can only be estimated by observing behaviour in secure institutional settings designed specifically to prevent patients from transgressing. The article explores this ‘inductive prevention paradox' which arises when the implementation of measures designed to avoid an adverse event obscures direct observation of what might have happened if prophylaxis had not been attempted. The analysis presented draws on data obtained in 1999–2003 from two qualitative studies in medium to low secure UK institutions, one providing forensic mental health services and the other forensic learning disability services. We explored the views of 56 staff members and 21 patients about risk management in forensic services and undertook additional 25 staff interviews for case studies of the 21 patients. The wider applicability of the inductive prevention paradox will be considered in the Discussion. We argue that the prognostic limitations arising from prevention have been underestimated by policy makers and in official inquiries; and that the prevailing personal risk assessment framework needs to be complemented by greater attention to the environments which patients will be discharged into

DESIGNING MIXED HORTICULTURAL SYSTEMS

The necessary ecologization of agriculture in the developed countries has recently resulted in the research of innovative systems that are both economically viable and environmentally friendly, with sustainable objectives at mid and long terms. The sylvoarable systems, mixing trees and crops on the same plot, are ecologically intensive systems that allow a better use of natural resources, hence increase production on the same land area. The vegetable orchard is a sylvoarable system mixing fruit trees and vegetable crops that disappeared in the 1950’s for economic reasons. Its possible reintroduction becomes a new research topic for ecological purposes, with agronomic bases to ensure its viability. The vegetable orchards’ agronomic bases are a combination of scientific results and feedback from farmers on the interactions between fruit trees and vegetable crops. These bases are the common knowledge to be harnessed during vegetable orchards’ co-design processes, especially for developing decision-support tools, such as models. A proof of concept is built for modelling the vegetable orchard with constraint satisfaction problems (CSP), proposing layouts of fruit trees and vegetable crops that take maximum advantage of a set of interactions between them. This proof of concept is the core of a more exhaustive model to be built, with CSP formalism or another, which could be used to support the design of systems mixing trees and crops

Refactorings of Design Defects using Relational Concept Analysis

Software engineers often need to identify and correct design defects, ıe} recurring design problems that hinder development and maintenance\ud by making programs harder to comprehend and--or evolve. While detection\ud of design defects is an actively researched area, their correction---mainly\ud a manual and time-consuming activity --- is yet to be extensively\ud investigated for automation. In this paper, we propose an automated\ud approach for suggesting defect-correcting refactorings using relational\ud concept analysis (RCA). The added value of RCA consists in exploiting\ud the links between formal objects which abound in a software re-engineering\ud context. We validated our approach on instances of the <span class='textit'></span>Blob\ud design defect taken from four different open-source programs

Extending Cognitive Assistance with AI Courses of Action

NPS NRP Project PosterThe objectives of this study is to research and assess the initial stages of the evolution of Human-Machine Teaming (HMT) mission workflows which is focused on transitioning of automation tasks from humans to machines using a technique to digitize mission workflows. Also, study the advanced stage(s) of the evolution of HMT to include Courses-of-Action (COA) in Wargaming and how decision-making (DM) AI functions play what role natural language processing (NLP) plays. In addition, this study will explore the viability of NLP in HMT peer-to-peer COAs generation. Finally, this study will leverage complex Joint Naval Force EABO scenario (UNCLASS) designed by MCWL to explore NLP and distributed agents managing the decision making of operators using various modes of HMT interface of AI run-time execution agents thereby enriching digital workflows. The research questions that will be address will include: 1) What is the best approach for a cognitive assistant to learn mission workflows so that recommendations can be made to a human operator?, 2) How can cognitive assistants switch between modes of automatic, advisory, or monitoring?, 3) What are the key parameters for switching?, 4) How does the CA learn to switch to make appropriate recommendations?, 4) What is the cognitive intersection between domain specific environment awareness and situation awareness?, and 5) What happens when a target switches context? The methodology will use quantitative research methods. The methodology for this study will be based on SME input to gain an understanding of mission workflows and tasks, MCWL-developed Joint Force EABO scenario leveraged for a case study and collaboration with the Wargaming Center in Quantico, VA. Based on a scenario, the independent variables will be the inputs into the cognitive assistant. The dependent variable(s) are the output of the system such as if the system recommends the role of automatic, advisory, or monitoring. The plan for this study is to leverage a complex joint Naval Force EABO scenario in studying a role of enrichment digitization of the workflows including utilization of scenario-driven HMT modes and sub-modes; review digital workflows from Master Thesis: "Fire Support Coordination Cognitive Assistant", USMC Capt. Benjamin Herbold, NPS, Graduation Year: June 2020; gain understanding of wargaming COA Digital Mission Command Joint Forces hypergame; develop expertise on modes of Human-Machine Teaming control and their sub-modes of automatic, advisory, and monitoring; study evolution from a single "interactive" mode of HMT proposed for the Fire Support Coordination Digital Workflows to the planning phase in Fire Support Coordination; study NLP and associated theories as a framework to situate the research; and coordinate with other entities such as MIT LL, DARPA, BAE, USMC AI COI, MCWL, and ONR.HQMC Plans, Policies & Operations (PP&O)This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

The effective conductivity of a periodic lattice of circular inclusions

We determine the effective conductivity of a two-dimensional composite consisting of a doubly periodic array of identical circular cylinders within a homogeneous matrix. We obtain an exact analytic expression for the effective conductivity tensor as well as its expansion in terms of volume fraction of the cylinders. Results are illustrated by examples.Comment: 21 pages, 5 figure

Naval Integration into Joint Data Strategies and Architectures in JADC2

NPS NRP Executive SummaryAs Joint capabilities mature and shape into the Joint All Domain C2 Concept, Services, COCOMs and Coalition Partners will need to invest into efforts that would seamlessly integrate into Joint capabilities. The objective for the Navy is to study the options for Navy, including Naval Special Warfare Command under SOCOM, on how to integrate Navy's data strategy and architecture under the unifying JADC2 umbrella. The other objectives are to explore alternatives considered by the SOCOM and the Air Force, which are responsible for JADC2 Information Advantage and Digital Mission Command & Control. A major purpose of Joint, Services/COCOMs, agencies and Coalition Partners capabilities is to provide shared core of integrated canonical services for data, information, and knowledge with representations for vertical interoperability across all command levels and JADC2, lateral interoperability between Naval Service/COCOMs, and any combination of JADC2 constituents, agencies, and coalition partners. Our research plan is to explore available data strategy options by leveraging previous NRP work (NPS-20-N313-A). We will participate in emerging data strategy by Navy JADC2 project Overmatch. By working with MITRE our team will explore Air Force JADC2 data strategy implemented in ABMS DataOne component. Our goal is to find a seamless integration between Naval Data Strategy and data strategies behind JADC2 Information Advantage and Digital Mission Command & Control capabilities. Our plan includes studying Service-to-Service and Service-to-COCOM interoperability options required for Joint operations with a goal to minimize OODA's loop latency across sensing, situation discovery & monitoring, and knowledge understanding-for-planning, deciding, and acting. Our team realizes JADC2 requires virtual model allowing interoperability between subordinate C2 for services, agencies, and partner. Without such flexible 'joint' intersection organizational principal hierarchical structure it would be impossible to define necessary temporal and spatial fidelities for each level of organizational command required for implanting JADC2. Research deliverables will document the results of the exploration of Joint, COCOM, Agency and Partner Data Strategies approaches as JADC2 interoperability options to the emerging JADC2. We strive for standard JADC2 interface. Keywords: JADC2, ABMS, DataOne, Information Advantage, Digital Mission Command, IntegrationN2/N6 - Information WarfareThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Extending Cognitive Assistance with AI Courses of Action

NPS NRP Executive SummaryThe objectives of this study is to research and assess the initial stages of the evolution of Human-Machine Teaming (HMT) mission workflows which is focused on transitioning of automation tasks from humans to machines using a technique to digitize mission workflows. Also, study the advanced stage(s) of the evolution of HMT to include Courses-of-Action (COA) in Wargaming and how decision-making (DM) AI functions play what role natural language processing (NLP) plays. In addition, this study will explore the viability of NLP in HMT peer-to-peer COAs generation. Finally, this study will leverage complex Joint Naval Force EABO scenario (UNCLASS) designed by MCWL to explore NLP and distributed agents managing the decision making of operators using various modes of HMT interface of AI run-time execution agents thereby enriching digital workflows. The research questions that will be address will include: 1) What is the best approach for a cognitive assistant to learn mission workflows so that recommendations can be made to a human operator?, 2) How can cognitive assistants switch between modes of automatic, advisory, or monitoring?, 3) What are the key parameters for switching?, 4) How does the CA learn to switch to make appropriate recommendations?, 4) What is the cognitive intersection between domain specific environment awareness and situation awareness?, and 5) What happens when a target switches context? The methodology will use quantitative research methods. The methodology for this study will be based on SME input to gain an understanding of mission workflows and tasks, MCWL-developed Joint Force EABO scenario leveraged for a case study and collaboration with the Wargaming Center in Quantico, VA. Based on a scenario, the independent variables will be the inputs into the cognitive assistant. The dependent variable(s) are the output of the system such as if the system recommends the role of automatic, advisory, or monitoring. The plan for this study is to leverage a complex joint Naval Force EABO scenario in studying a role of enrichment digitization of the workflows including utilization of scenario-driven HMT modes and sub-modes; review digital workflows from Master Thesis: "Fire Support Coordination Cognitive Assistant", USMC Capt. Benjamin Herbold, NPS, Graduation Year: June 2020; gain understanding of wargaming COA Digital Mission Command Joint Forces hypergame; develop expertise on modes of Human-Machine Teaming control and their sub-modes of automatic, advisory, and monitoring; study evolution from a single "interactive" mode of HMT proposed for the Fire Support Coordination Digital Workflows to the planning phase in Fire Support Coordination; study NLP and associated theories as a framework to situate the research; and coordinate with other entities such as MIT LL, DARPA, BAE, USMC AI COI, MCWL, and ONR.HQMC Plans, Policies & Operations (PP&O)This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.