k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples)

Perhaps the most straightforward classifier in the arsenal or machine learning techniques is the Nearest Neighbour Classifier -- classification is achieved by identifying the nearest neighbours to a query example and using those neighbours to determine the class of the query. This approach to classification is of particular importance because issues of poor run-time performance is not such a problem these days with the computational power that is available. This paper presents an overview of techniques for Nearest Neighbour classification focusing on; mechanisms for assessing similarity (distance), computational issues in identifying nearest neighbours and mechanisms for reducing the dimension of the data. This paper is the second edition of a paper previously published as a technical report. Sections on similarity measures for time-series, retrieval speed-up and intrinsic dimensionality have been added. An Appendix is included providing access to Python code for the key methods.Comment: 22 pages, 15 figures: An updated edition of an older tutorial on kN

Land Grant Application- Cunningham, Samuel (Newcastle)

Land grant application submitted to the Maine Land Office on behalf of Samuel Cunningham for service in the Revolutionary War, by their widow Sarah.https://digitalmaine.com/revolutionary_war_me_land_office/1225/thumbnail.jp

France Beyond Borders Study Abroad

STEP Category: Education AbroadThe objective of this STEP project was to think critically about multiculturalism, immigration, and identity in France and its bordering countries, Spain and Belgium while on a May semester study abroad trip to those three countries. There was also a focus on the increasingly integrated global community, issues with European immigration, and how to engage in cross-cultural dialogue in global contexts.The Ohio State University Second-year Transformational Experience Program (STEP)The Ohio State University Psychology Department Study Abroad ScholarshipAcademic Major: Criminology and Criminal Justice StudiesAcademic Major: Psycholog

Exploring the experiences and outcomes of advantaged and disadvantaged families

This report provides further evidence of the interrelationship between age, young motherhood, family type and a range of measures of socio-economic advantage and disadvantage. Maternal age and family type were found to be closely interrelated and both strongly associated with socio-economic disadvantage, with concentrated disadvantage evident in mothers under 25 and lone parents who do not live with other adults. These measures were also closely associated with health-related behaviours including likelihood of breastfeeding, attending ante-natal classes and smoking amongst mothers. Even amongst more disadvantaged groups, positive health-related behaviours were connected to relative social and economic advantage with level of maternal education featuring prominently

Problematisation and regulation: bodies, risk, and recovery within the context of Neonatal Abstinence Syndrome

Background Neonatal Abstinence Syndrome (NAS) is an anticipated effect of maternal drug use during pregnancy. Yet it remains a contested area of policy and practice. In this paper, we contribute to ongoing debates about the way NAS is understood and responded to, through different treatment regimes, or logics of care. Our analysis examines the role of risk and recovery discourses, and the way in which the bodies of women and babies are conceptualised within these. Methods Qualitative interviews with 16 parents (9 mothers, 7 fathers) and four focus groups with 27 health and social care professionals based in Scotland. All the mothers were prescribed opioid replacement therapy and parents were interviewed after their baby was born. Data collection explored understandings about the causes and consequences of NAS and experiences of preparing for, and caring for, a baby with NAS. Data were analysed using a narrative and discursive approach. Results Parent and professional accounts simultaneously upheld and subverted logics of care which govern maternal drug use and the assessment and care of mother and baby. Despite acknowledging the unpredictability of NAS symptoms and the inability of the women who are opioid-dependent to prevent NAS, logics of care centred on ‘proving’ risk and recovery. Strategies appealed to the need for caution, intervening and control, and obscured alternative logics of care that focus on improving support for mother-infant dyads and the family as a whole. Conclusion Differing notions of risk and recovery that govern maternal drug use, child welfare and family life both compel and trouble all logics of care. The contentious nature of NAS reflects wider socio-political and moral agendas that ultimately have little to do with meeting the needs of mothers and babies. Fundamental changes in the principles, quality and delivery of care could improve outcomes for families affected by NAS

Responses of king penguin Aptenodytes patagonicus adults and chicks to two food-related odours

Increasing evidence suggests that penguins are sensitive to dimethyl sulphide (DMS), a scented airborne compound that a variety of marine animals use to find productive areas of the ocean where prey is likely to be found. Here we present data showing that king penguins Aptenodytes patagonicus are also sensitive to DMS. We deployed DMS on a lake near a king penguin colony at Ratmanoff beach in the Kerguelen archipelago. We also presented DMS to ‘sleeping’ adults on the beach. On the lake, penguins responded to the DMS deployments by swimming more, while on the beach, penguins twitched their heads and woke up more for the DMS than for the control presentations. Interestingly, penguins did not respond to cod liver oil deployments on the lake; mirroring at-sea studies of other penguins. Although at-sea studies are needed to confirm that king penguins use DMS as a surface cue that informs them of productivity under the water, this study is an important first step in understanding how these birds locate prey over significant distances