Now we are 13. Open Research Online becomes a teenager!

The history of the Open University (UK) institutional repository (Open Research Online) is one of changing requirements as defined by its research community, institutional administrators and external HE policy. How the repository has responded to these changes has ensured its success. However, how we manage the (potentially) competing requirements of compliance monitoring and Open Access dissemination will determine the future of the repository

Hydraulic resistance of artificial vegetation patches in aligned and staggered configurations

Funding The study has been supported by three EPSRC/UK grants (Engineering and Physical Sciences Research Council): “High-resolution numerical and experimental studies of turbulence-induced sediment erosion and near-bed transport” (EP/G056404/1), “Bed friction in rough-bed free-surface flows: a theoretical framework, roughness regimes, and quantification” (EP/K041088/1) and “Secondary currents in turbulent flows over rough walls” (EP/V002414/1). Publisher Copyright: © 2023 International Association for Hydro-Environment Engineering and Research.Peer reviewe

Which osteoarthritic gait features recover following total knee replacement surgery?

Background Gait analysis can be used to measure variations in joint function in patients with knee osteoarthritis (OA), and is useful when observing longitudinal biomechanical changes following Total Knee Replacement (TKR) surgery. The Cardiff Classifier is an objective classification tool applied previously to examine the extent of biomechanical recovery following TKR. In this study, it is further developed to reveal the salient features that contribute to recovery towards healthy function. Methods Gait analysis was performed on 30 patients before and after TKR surgery, and 30 healthy controls. Median TKR follow-up time was 13 months. The combined application of principal component analysis (PCA) and the Cardiff Classifier defined 18 biomechanical features that discriminated OA from healthy gait. Statistical analysis tested whether these features were affected by TKR surgery and, if so, whether they recovered to values found for the controls. Results The Cardiff Classifier successfully discriminated between OA and healthy gait in all 60 cases. Of the 18 discriminatory features, only six (33%) were significantly affected by surgery, including features in all three planes of the ground reaction force (p<0.001), ankle dorsiflexion moment (p<0.001), hip adduction moment (p = 0.003), and transverse hip angle (p = 0.007). All but two (89%) of these features remained significantly different to those of the control group after surgery. Conclusions This approach was able to discriminate gait biomechanics associated with knee OA. The ground reaction force provided the strongest discriminatory features. Despite increased gait velocity and improvements in self-reported pain and function, which would normally be clinical indicators of recovery, the majority of features were not affected by TKR surgery. This TKR cohort retained pre-operative gait patterns; reduced sagittal hip and knee moments, decreased knee flexion, increased hip flexion, and reduced hip adduction. The changes that were associated with surgery were predominantly found at the ankle and hip, rather than at the knee

Sociological Perspectives on the Baby Boomers: an exploration of social change

Abstract The &apos;baby boom&apos; generation has emerged as a significant group in debates focusing on population change. The demographic context concerns the increase in the birth rate across industrialised countries from the mid-1940s through to the mid-1960s. From a sociological perspective, boomers have been viewed as a group with distinctive experiences that set them apart from previous generations. In the UK context, however, there have been relatively few detailed studies of the characteristics of the boomer generation, and in particular that of first wave boomers (born between 1945 and 1954) now entering retirement. This article draws on a research project exploring changes in consumption and identity affecting this cohort. The paper reviews some of the key social and demographic changes affecting this group, highlighting a mixture of continuities and discontinuities over previous cohorts. The article concludes with an assessment of the value of sociological research for furthering understanding of the baby boomer generation

Health and Historical Levels of Freedom

Background: The link between political freedom and health is unclear. We aimed to determine the association byexploring the relationship of historical and cumulative freedom levels with important health outcomes. Methods: We obtained countrywide health indicators for life expectancy, infant mortality, maternal mortality ratio, %low birth weight babies, Gini coefficient (a measure of wealth inequality) and various markers of freedom based onpolitical rights and civil liberties. We applied multivariable logistic regression to examine the association betweenhealth indicators and within-country years of freedom as determined by Freedom House rankings. Results: The total proportion of free years from 1972-2005, the duration of current freedom level, and the Ginicoefficient show independent positive associations with health indicators, which remain after the adjustment fornational wealth, total government expenditure, and spending on health. Countries identified as having high totalproportion of free years demonstrated significantly better health outcomes than countries with low levels of freedom(life expectancy, Odds Ratio [OR] 7.2, 95% Confidence Interval [CI], 2.3-22.6, infant mortality OR 19.6, 95% CI, 5.6-67.7,maternal mortality ratio, OR 24.3, 95% CI, 6.2-94.9, and % low birth weight babies OR 3.8, 95% CI, 1.4-10.8). This was alsothe case for infant mortality (OR 3.4, 95% CI, 1.0-8.4), maternal mortality ratio (OR 4.0, 95% CI, 1.2-12.8), and % low birthweight babies (OR 2.6, 95% CI, 1.0-6.6) among countries considered as having medium levels of freedom. Interpretation: We found strong associations between country-level freedom and important health outcomes. Thecumulative level of freedom over time shows stronger associations with all health indicators than the duration ofcurrent freedom level

Health and historical levels of freedom

<p>Abstract</p> <p>Background</p> <p>The link between political freedom and health is unclear. We aimed to determine the association by exploring the relationship of historical and cumulative freedom levels with important health outcomes.</p> <p>Methods</p> <p>We obtained countrywide health indicators for life expectancy, infant mortality, maternal mortality ratio, % low birth weight babies, Gini coefficient (a measure of wealth inequality) and various markers of freedom based on political rights and civil liberties. We applied multivariable logistic regression to examine the association between health indicators and within-country years of freedom as determined by Freedom House rankings.</p> <p>Results</p> <p>The total proportion of free years from 1972-2005, the duration of current freedom level, and the Gini coefficient show independent positive associations with health indicators, which remain after the adjustment for national wealth, total government expenditure, and spending on health. Countries identified as having high total proportion of free years demonstrated significantly better health outcomes than countries with low levels of freedom (life expectancy, Odds Ratio [OR] 7.2, 95% Confidence Interval [CI], 2.3-22.6, infant mortality OR 19.6, 95% CI, 5.6-67.7, maternal mortality ratio, OR 24.3, 95% CI, 6.2-94.9, and % low birth weight babies OR 3.8, 95% CI, 1.4-10.8). This was also the case for infant mortality (OR 3.4, 95% CI, 1.0-8.4), maternal mortality ratio (OR 4.0, 95% CI, 1.2-12.8), and % low birth weight babies (OR 2.6, 95% CI, 1.0-6.6) among countries considered as having medium levels of freedom.</p> <p>Interpretation</p> <p>We found strong associations between country-level freedom and important health outcomes. The cumulative level of freedom over time shows stronger associations with all health indicators than the duration of current freedom level.</p