Context. There are a number of methods that identify stellar sub-structure in star forming regions, but these do not quantify the degree of association of individual stars – something which is required if we are to better understand the mechanisms and physical processes that dictate structure. Aims. We present the new novel statistical clustering tool “INDICATE” which assesses and quantifies the degree of spatial clustering of each object in a dataset, discuss its applications as a tracer of morphological stellar features in star forming regions, and to look for these features in the Carina Nebula (NGC 3372). Methods. We employ a nearest neighbour approach to quantitatively compare the spatial distribution in the local neighbourhood of an object with that expected in an evenly spaced uniform (i.e. definitively non-clustered) field. Each object is assigned a clustering index (“I”) value, which is a quantitative measure of its clustering tendency. We have calibrated our tool against random distributions to aid interpretation and identification of significant I values. Results. Using INDICATE we successfully recover known stellar structure of the Carina Nebula, including the young Trumpler 14-16, Treasure Chest and Bochum 11 clusters. Four sub-clusters contain no, or very few, stars with a degree of association above random which suggests these sub-clusters may be fluctuations in the field rather than real clusters. In addition we find: (1) Stars in the NW and SE regions have significantly different clustering tendencies, which is reflective of differences in the apparent star formation activity in these regions. Further study is required to ascertain the physical origin of the difference; (2) The different clustering properties between the NW and SE regions are also seen for OB stars and are even more pronounced; (3) There are no signatures of classical mass segregation present in the SE region – massive stars here are not spatially concentrated together above random; (4) Stellar concentrations are more frequent around massive stars than typical for the general population, particularly in the Tr14 cluster; (5) There is a relation between the concentration of OB stars and the concentration of (lower mass) stars around OB stars in the centrally concentrated Tr14 and Tr15, but no such relation exists in Tr16. We conclude this is due to the highly sub-structured nature of Tr16. Conclusions. INDICATE is a powerful new tool employing a novel approach to quantify the clustering tendencies of individual objects in a dataset within a user-defined parameter space. As such it can be used in a wide array of data analysis applications. In this paper we have discussed and demonstrated its application to trace morphological features of young massive clusters.

These results indicate that inhibition of Na(+)-H+ exchange during ischemia is necessary to limit myocardial necrosis secondary to transient coronary occlusion, and that this action could by mediated by a protective effect against ischemic contracture. Inhibition of Na(+)-H+ exchange only during reperfusion has a partial and transient beneficial effect, but only when the inhibitor reaches the area at risk before reflow.

Context. Better understanding of star formation in clusters with high-mass stars requires rigorous dynamical and spatial analyses of star-forming regions. Aims. We seek to demonstrate that “INDICATE” is a powerful spatial analysis tool which when combined with kinematic data from Gaia DR2 can be used to probe star formation history in a robust way. Methods. We compared the dynamic and spatial distributions of young stellar objects (YSOs) at various evolutionary stages in NGC 2264 using Gaia DR2 proper motion data and INDICATE. Results. The dynamic and spatial behaviours of YSOs at different evolutionary stages are distinct. Dynamically, Class II YSOs predominately have non-random trajectories that are consistent with known substructures, whereas Class III YSOs have random trajectories with no clear expansion or contraction patterns. Spatially, there is a correlation between the evolutionary stage and source concentration: 69.4% of Class 0/I, 27.9% of Class II, and 7.7% of Class III objects are found to be clustered. The proportion of YSOs clustered with objects of the same class also follows this trend. Class 0/I objects are both found to be more tightly clustered with the general populous/objects of the same class than Class IIs and IIIs by a factor of 1.2/4.1 and 1.9/6.6, respectively. An exception to these findings is within 0.05° of S Mon where Class III objects mimic the behaviours of Class II sources across the wider cluster region. Our results suggest (i) current YSOs distributions are a result of dynamical evolution, (ii) prolonged star formation has been occurring sequentially, and (iii) stellar feedback from S Mon is causing YSOs to appear as more evolved sources. Conclusions. Designed to provide a quantitative measure of clustering behaviours, INDICATE is a powerful tool with which to perform rigorous spatial analyses. Our findings are consistent with what is known about NGC 2264, effectively demonstrating that when combined with kinematic data from Gaia DR2 INDICATE can be used to study the star formation history of a cluster in a robust way.

The effectiveness of antiretroviral drugs is closely linked to the degree of adherence. The prison environment has specific characteristics that may affect adherence in HIV-positive patients, so that it may not be possible to extrapolate factors associated with nonadherence in HIV+ patients outside prison. The objective was to analyze the prevalence of nonadherence to antiretroviral treatment in three Spanish prisons, and to examine the relation between a large group of factors and nonadherence to the medication. A cross-sectional study of all patients receiving antiretroviral treatment was done. Adherence was evaluated using a validated questionnaire (SMAQ). The prevalence of nonadherence was 54.8%, and the factors independently associated with nonadherence were having difficulties in taking the medication, feeling completely or largely unable to follow the medication, classifying the food as "bad", mentioning not having anyone concerned for them outside prison, suffering anxiety or depression in the last week, and having the flexibility of the prison staff opening their cell in the event of them forgetting their medication.

This cross-sectional study was carried out in two Spanish prisons. A group of 177 HIV-infected prison inmates were interviewed. Standardized personal interviews using a structured questionnaire were conducted to assess sociodemographic features and prison setting characteristics, clinical variables, social support and drug consumption. A simplified four-item questionnaire for self-reported adherence was used. A total of 24.3% were non-adherent. Predictors of non-adherence in the multivariate analysis included poor or lack of ability to follow the prescribed treatment regimen, no visits in a month, anxious and/or depressed mood, difficulty in taking medication, receiving methadone treatment, cannabis consumption and robbery as the reason for imprisonment. Adherence to antiretroviral therapy was higher than in the wider community. However, other variables related to the correctional setting, such as assignments within the facility, adaptability of the prison system to authorize the cell being opened in the event of missed medication, or legal situation had no effect on adherence for inmates with HIV disease.