The Legacy Project: Lessons Learned About Conducting Community-Based Research

Collaborative partnerships between community based organizations (CBOs) and university-based researchers can successfully conduct useful HIV prevention research. Collaboratively conducted research contributes to good programs and good science.The Legacy Project is an evaluation of 18 such partnerships. The evaluation found 6 essential elements for successful collaborative community-based research:Thoughtful selection of interventions for evaluationSecondary or alternative research questions incorporated into the research project from the beginningFlexibility to modify or change primary research question mid-studyAppropriate, stable CBO staffingHigh level of university-researcher involvement with both intervention and evaluationAdequate funding for intervention, evaluation and participant tim

Stable carbon, nitrogen and sulphur isotope analysis of permafrost preserved human hair from rescue excavations (2009, 2010) at the precontact site of Nunalleq, Alaska

Acknowledgments This work was funded by an Arts and Humanities Research Council (AH/K006029/1) grant awarded to Rick Knecht, Kate Britton and Charlotta Hillerdal (Aberdeen); an AHRC-LabEx award (AH/N504543/1) to KB, RK, Keith Dobney (Liverpool) and Isabelle Sidéra (Nanterre); the Carnegie Trust to the Universities of Scotland (travel grant to KB); and the Max Planck Institute for Evolutionary Anthropology. The onsite collection of samples was carried out by staff and students from the University of Aberdeen, volunteer excavators and the residents of Quinhagak. We had logistical and planning support for fieldwork by the Qanirtuuq Incorporated, Quinhagak, Alaska, and the people of Quinhagak, who we also thank for sampling permissions. Special thanks to Warren Jones and Qanirtuuq Incorporated (especially Michael Smith and Lynn Church), and to all Nunalleq project team members, in Aberdeen and at other institutions, particularly Charlotta Hillerdal and Edouard Masson-Maclean (Aberdeen) for comments on earlier versions of this manuscript, and also to Véronique Forbes, Ana Jorge, Carly Ameen and Ciara Mannion (Aberdeen) for their inputs. Thanks also to Michelle Alexander (York). Finally, thank you to Ian Scharlotta (Alberta) for inviting us to contribute to this special issue, to the Editor, and to three anonymous reviewers, whose suggestions and recommended changes to an earlier version of this manuscript greatly improved the paper.Peer reviewedPublisher PD

Reasoning About Foreign Function Interfaces Without Modelling the Foreign Language

Foreign function interfaces (FFIs) allow programs written in one language (called the host language) to call functions written in another language (called the guest language), and are widespread throughout modern programming languages, with C FFIs being the most prevalent. Unfortunately, reasoning about C FFIs can be very challenging, particularly when using traditional methods which necessitate a full model of the guest language in order to guarantee anything about the whole language. To address this, we propose a framework for defining whole language semantics of FFIs without needing to model the guest language, which makes reasoning about C FFIs feasible. We show that with such a semantics, one can guarantee some form of soundness of the overall language, as well as attribute errors in well-typed host language programs to the guest language. We also present an implementation of this scheme, Poseidon Lua, which shows a speedup over a traditional Lua C FFI

Reasoning About Foreign Function Interfaces Without Modelling the Foreign Language (Artifact)

There are two components to this artifact. First, a we provide a mechanization of the formalization in the paper, as well as mechanized proofs of the main results from the paper. Second, we provide a full implementation of Poseidon Lua, the language implemented in the paper. Instructions for all components of the artifact are included this document

Measurement properties of tools used to assess self-harm in autistic and general population adults

Autistic people are at increased risk of experiencing self-harm compared to the general population. However, it is unclear which tools are being used to assess self-harm in autistic people, or whether existing tools need to be adapted for this group. This two-stage systematic review aimed to identify tools used to assess self-harm in autistic and general population adults, evaluate these tools on their measurement properties, and make recommendations for their appropriate use in research and clinical practice. Four databases were systematically searched (PsycINFO, Embase, MEDLINE and Web of Science). Eight frequently used self-harm assessment tools were identified and assessed for risk of bias, criteria for good measurement properties, and quality of evidence using the COSMIN checklist. Of these, two tools had sufficient evidence of internal consistency (ISAS, QNSSI), and one had been frequently used with autistic adults (NSSI-AT). These three tools may have potential for use with autistic adults but require further investigation for content validity and measurement properties in the autistic population. More research and potential adaptations to current self-harm assessment tools are recommended in order to better conceptualise and understand self-harm and its measurement in autism.</p

Induced Innovation and Social Inequality: Evidence from Infant Medical Care

We develop a model of induced innovation where research effort is a function of the death rate, and thus the potential to reduce deaths in the population. We also consider potential social consequences that arise from this form of induced innovation based on differences in disease prevalence across population subgroups (i.e. race). Our model yields three empirical predictions. First, initial death rates and subsequent research effort should be positively correlated. Second, research effort should be associated with more rapid mortality declines. Third, as a byproduct of targeting the most common conditions in the population as a whole, induced innovation leads to growth in mortality disparities between minority and majority groups. Using information on infant deaths in the U.S. between 1983 and 1998, we find support for all three empirical predictions. We estimate that induced innovation predicts about 20 percent of declines in infant mortality over this period. At the same time, innovation that occurred in response to the most common causes of death favored the majority racial group in the U.S., whites. We estimate that induced innovation contributed about one third of the rise in the black-white infant mortality ratio during our period of study.

Childhood chronic physical illness and adult emotional health: a systematic review and meta-analysis

Background: Childhood chronic physical illness is associated with a greater vulnerability for emotional problems (i.e., depression and anxiety) in childhood. However, little is known about life-long effects of childhood chronic physical illness on mental health. The present study aims to systematically review evidence for associations between eight chronic physical illnesses with childhood onset (arthritis, asthma, cancer, chronic renal failure, congenital heart disease, cystic fibrosis, type 1 diabetes, and epilepsy) and adult emotional problems. Methods: A database search of MEDLINE, PsycARTICLES, PsycINFO, and ScienceDirect was undertaken, and random effects meta-analyses were used to synthesize evidence from eligible studies. Results: In total, 37 studies were eligible for the systematic review (n = 45,733) and of these, 34 studies were included into the meta-analyses (n = 45,358). There were overall associations between childhood chronic physical illness and adult depression (OR = 1.31; 95% CI [1.12, 1.54]) and anxiety (OR = 1.47; 95% CI [1.13, 1.92]). Separate meta-analyses for childhood asthma, type 1 diabetes and cancer were also conducted, with cancer being significantly associated with adult depression (OR = 1.19; 95% CI [1.00, 1.42]). Conclusions: The effects of childhood chronic physical illness on the risk of emotional problems persist beyond childhood and adolescence. Mental health prevention and intervention strategies targeting children with chronic physical illnesses can have long-term benefits

Life course trajectories of affective symptoms and their early life predictors

BACKGROUND: Life course trajectories of affective symptoms (depression and anxiety) are heterogenous. However, few studies have investigated the role of early life risk factors in the development of these trajectories. The present study aimed to: (1) derive latent trajectories of affective symptoms over a period of more than 50 years (ages 13–69), and (2) examine early life risk factors for associations with specific life course trajectories of affective symptoms. METHOD: Participants are from the MRC National Survey of Health and Development (NSHD) (n = 5,362). Affective symptoms were measured prospectively at ages 13, 15, 36, 43, 53, 60–64 and 69. A latent variable modelling framework was implemented to model longitudinal profiles of affective symptoms. Twenty-four prospectively measured early life predictors were tested for associations with different symptom profiles using multinomial logistic regression. RESULTS: Four life course profiles of affective symptoms were identified: (1) absence of symptoms (66.6% of the sample); (2) adolescent symptoms with good adult outcome (15.2%); (3) adult symptoms only (with no symptoms in adolescence and late life) (12.9%); (4) symptoms in adolescence and mid adulthood (5.2%). Of the 24 early life predictors observed, only four were associated with life course trajectories, with small effect sizes observed. CONCLUSIONS: People differ in their life course trajectories of anxiety and depression symptoms and that these differences are not largely influenced by early life factors tested in this study

The speaking vocabulary of kindergarten, grade I, grade II, and grade III

Thesis (Ed.M.)--Boston Universit

Reflections on Collaborative Archaeology and Large-Scale Online Research Infrastructures

The Archaeology Data Service (ADS) is an archive working at a national level in the UK, ensuring that archaeologists have access to high quality and dependable digital resources, including openly licensed legacy data for reuse. The ADS acts as a metadata aggregator for archaeological data held by larger heritage agencies and smaller regional organizations and participates in international aggregation infrastructure projects such as ARIADNE, which allows users to access archaeological resources held in many countries from a single interface. Large-scale infrastructures can facilitate the building of long-term, complex relationships and active collaborations, not just technical solutions. This paper reflects on the roles of stewardship and equity within ARIADNE and the ADS, two large-scale online research infrastructures, and how these types of infrastructures may help to create a more collaborative archaeology, including lessons learned, challenges and opportunities, and thoughts for the future