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Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Foreword -- Preface -- Editors -- Contributors -- Introduction -- I: Overarching themes -- 1. Migration and migrants: What we know about worldwide mobility and why it matters -- 2. Migration health theories: Healthy migrant effect and allostatic load. Can both be true? -- 3. Culture, language and the clinic: Three stories, two keys -- 4. The ethics of migrant health: Power and privilege versus rights and entitlements -- 5. Discrimination and health -- 6. Migrants' use of primary health care services: Overuse, underuse, or both? -- II: A life-course perspective -- 7. A life-course perspective on migrant health -- 8. Promoting the health of migrant children and children of migrants -- 9. Adolescent migrant health -- 10. Health care for older and elderly migrants -- 11. Family and group as a unit of care -- III: Health challenges at the clinic -- 12. Health challenges at the clinic -- 13. Gynaecology and obstetrics -- 14. Chronic disease prevention and management: An understated priority -- 15. Understanding unexplained and complex symptoms and diseases -- 16. Cancer among migrant patients -- 17. Migration and mental health -- 18. Multimorbidity: The complexity -- IV: Opportunities and tools -- 19. Opportunities and tools when meeting migrant. patients -- 20. Bridging cultural and language discordance -- 21. Evidence-based guidelines and advocacy -- 22. Diversity-sensitive versus adapted services for migrants: The example of dementia care in Germany -- 23. Assessment tools for dementia and depression in older migrants -- 24. Community participation in primary health care: Meaningful involvement of migrants -- Index.

This paper discusses design and validation of neural network based mid-course guidance law of a surface to air flight vehicle. In present study, initially different optimal trajectories have been generated off-line of different pursuer-evader engagements by ensuring minimum flight time, maximum terminal velocity and favorable handing over conditions for seeker based terminal guidance. These optimal trajectories have been evolved by nonlinear programming based direct method of optimisation. The kinematic information of both pursuer and evader, generated based on these trajectories have been used to train cerebellar model articulate controller (CMAC) neural network. Later for a given engagement scenario an on-line near optimal mid-course guidance law has been evolved based on output of trained network. Training has been carried out by CMAC type supervisory neural network. The tested engagement condition is within input/output training space of neural network. Seeker based homing guidance has been used for terminal phase. Complete methodology has been validated along pitch plane of pursuer-evader engagement. During mid-course phase, the guidance demand has been tracked by attitude hold autopilot and during terminal phase, the guidance demanded lateral acceleration has been tracked by acceleration autopilot. System robustness has been studied in presence of plant parameter variations and sensor noise under Monte Carlo Platform.

Introduction: Most maternal and newborn deaths are preventable with simple, lost-cost interventions. As innovations to reduce this burden are scaled up, new approaches are needed to evaluate survival impact. We propose a novel approach, the Data Informed Platform for Health (DIPH), to estimate the impact of maternal and newborn health innovations implemented at scale. The DIPH will collect and coordinate data from public and private health sectors on inputs and processes that influence maternal and newborn health. The dual aims are (1) to promote the use of data for local health decision-making, and (2) to generate programme implementation strength scores for use in the estimation of survival impact. Methods: Feasibility studies in Ethiopia and Nigeria include observational visits to district and regional health teams and to health facilities, and quality assessment of record-keeping mechanisms. These will lead to a formative phase, followed by pilot testing in 2-3 districts in each country. Full implementation in Ethiopia and two states of North-East Nigeria is anticipated to follow. Results: Early results suggest that local government representatives are keen to have the DIPH embedded in their health systems; and that the key elements to support the Platform are present in health information systems of the public and NGO sector. Further results will be presented, along with a theoretical framework . Conclusions: This approach has potential to measure key indicators of the scale-up of MNH innovations and to estimate impact on newborn survival.