New Realities for Global Health: People’s Wellbeing and Planetary Health

Last year under the auspices of the UN, world leaders agreed to a new form of cooperation on a planetary scale - Transforming Our World: the 2030 Agenda for Sustainable Development - and endorsed a holistic framework for achieving sustainable development (17 Sustainable Development Goals: SDGs) with a pledge to leave no one behind in less than two decades. The challenge of implementation of the 17 SDGs which are interrelated and interdependent and which affect all life dimensions on this planet will require comprehensive undertakings and coordinated local, national, multilateral, and global inclusive solutions. It will also require policy makers of today to assess all their actions against their effects on the world of tomorrow

Beef Production in North-Eastern New South Wales: A Report on a Reconnaissance Survey

Livestock Production/Industries,

From conception to birth A policy analysis of the NHS University

Includes bibliographical referencesAvailable from British Library Document Supply Centre- DSC:m03/16685 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo

Removal of masking effect for damage detection of structures

Damage detection of civil engineering structures relies heavily on the use of outlier analysis/novelty detection analysis. Generally, data captured from a structure in its normal environmental condition are used to create a model and compute control limits to represent the normal range of variations of damage sensitive features of the structure. However, the training database used usually includes outlier measurements, which may introduce masking effect. These outlier measurements can affect the mean and standard deviation/covariance matrix of the training database, and hence, affect the model and the control limits. As a result, small damage may not be detected. Therefore, this paper proposes an approach of selecting a ‘clean’ training database for the construction of the baseline of the undamaged structure so as to detect damage at an earlier stage. The approach makes use of Principal Component Analysis and Median Absolute Deviation to identify outlier measurements. This approach can be applied before the application of damage detection methods to allow damage to be detected at an earlier stage. The proposed approach is applied to a numerical beam model and the Z24 Bridge, in Switzerland. The results obtained demonstrate that damage can be detected at an earlier stage using the approach proposed in this paper. The proposed method also allows the determination of the model (e.g. linear or nonlinear) to be used for damage detection

International perspectives on equity and health As seen from the UK : proceedings from a meeting of the Health Equity Network

Includes bibliographical referencesAvailable from British Library Document Supply Centre- DSC:m03/16686 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo