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Outborn infants reached a significantly more severe ventricular dilatation than inborn infants, largely exceeding the recommended cutoff for intervention. Our follow-up data showed a trend towards a higher rate of permanent shunt and developmental delay in outborn than in inborn patients. Infants requiring treatment should be timely transported to centres with adequate expertise in PHVD management.<br /><br /> To describe and explain nurses' protocol-based care decision-making.<br /><br /> Protocol-based care is a strategy to reduce variability in clinical practice. There are no studies looking at protocol-based care decision-making. Understand this process is key to successful implementation.<br /><br /> A multiple embedded case study was carried out. Nurses' protocol-based care decision-making was studied in three inpatient wards (medical, surgical and medical-surgical) of a university hospital in northern Spain. Data collection was performed between 2015 and 2016 including documentary analysis, non-participant observations, participant observations and interviews. Analysis of quantitative data involved descriptive statistics and qualitative data was submitted to Burnard's method of content analysis (1996). The data integration comprised the integration of the data set of each case separately and the integration of the findings resulting from the comparison of the cases. The following the thread method of data integration was usedd efficiency in healthcare cost.The coordinated control of ion transport across the two major membranes of differentiated plant cells, the plasma and the vacuolar membranes, is fundamental in cell physiology. The stomata responses to the fluctuating environmental conditions are an illustrative example. Indeed, they rely on the coordination of ion fluxes between the different cell compartments. The cytosolic environment, which is an interface between intracellular compartments, and the activity of the ion transporters localised in the different membranes influence one each other. Here we analyse the molecular mechanisms connecting and modulating the transport processes at both the plasma and the vacuolar membranes of guard cells.<br /><br /> Understanding the end-of-life psychosocial needs of cancer patients at home is a knowledge gap. This study describes the trajectory of psychosocial symptoms in the last 6 months of life among cancer decedents who were receiving home care.<br /><br /> Observational population-based cohort study of cancer decedents who were receiving home care services between 2007 and 2014. Decedents had to have at least one home care assessment in the last 6 months of life for inclusion. Outcomes were the presence of psychosocial symptoms (i.e., anxiety, loneliness, depression, social decline, caregiver distress, and cognitive decline) at each week before death.<br /><br /> Our cohort included 27,295 unique cancer decedents (30,368 assessments), of which 58% died in hospital. Fifty-six percent were older than 74, and 47% were female. The prevalence of all symptoms increased approaching death, except loneliness. [https://www.selleckchem.com/products/CP-690550.html CP-690550] Social decline (48%-78%) was the most prevalent psychosocial symptom, though loneliness was reported in less than 10% of the cohort. Caregiver distress rose over time from 15%-27%. A third of the cohort reported issues with cognitive impairment. Multivariate regression showed that physical symptoms such as uncontrolled pain, impairment in independent activities of daily living, and a high level of health instability all significantly worsened the odds of having a psychosocial symptom in the last 3 months of life.<br /><br /> In this large home care cancer cohort, trajectories of psychosocial symptoms worsened close to death. Physical symptoms, such as uncontrolled pain, were associated with having worse psychosocial symptoms at end of life.<br /><br />In this large home care cancer cohort, trajectories of psychosocial symptoms worsened close to death. Physical symptoms, such as uncontrolled pain, were associated with having worse psychosocial symptoms at end of life.<br /><br /> The computed tomography (CT)-derived ventilation imaging methodology employs deformable image registration (DIR) to recover respiratory motion-induced volume changes from an inhale/exhale CT image pair, as a surrogate for ventilation. The Integrated Jacobian Formulation (IJF) and Mass Conserving Volume Change (MCVC) numerical methods for volume change estimation represent two classes of ventilation methods, namely transformation based and intensity (Hounsfield Unit) based, respectively. Both the IJF and MCVC methods utilize subregional volume change measurements that satisfy a specified uncertainty tolerance. In previous publications, the ventilation images resulting from this numerical strategy demonstrated robustness to DIR variations. However, the reduced measurement uncertainty comes at the expense of measurement resolution. The purpose of this study was to examine the spatial correlation between robust CT-ventilation images and single photon emission CT-ventilation (SPECT-V).<br /><br /> Previously described impndicate that robust methods generate ventilation images that are spatially consistent with SPECT-V, with the transformation-based IJF method yielding higher correlations than those previously reported in the literature. For both methods, overall correlations were found to marginally vary for τ ∈ [ 0.03 , 0.15 ] , indicating that the clinical utility of both methods is robust to both uncertainty tolerance and DIR solution.Local adaptation features critically in shaping species responses to changing environments, complicating efforts to revegetate degraded areas. Rapid climate change poses an additional challenge that could reduce fitness of even locally sourced seeds in restoration. Predictive restoration strategies that apply seeds with favourable adaptations to future climate may promote long-term resilience. Landscape genomics is increasingly used to assess spatial patterns in local adaption and may represent a cost-efficient approach for identifying future-adapted genotypes. To demonstrate such an approach, we genotyped 760 plants from 64 Mojave Desert populations of the desert annual Plantago ovata. Genome scans on 5,960 SNPs identified 184 potentially adaptive loci related to climate and satellite vegetation metrics. Causal modelling indicated that variation in potentially adaptive loci was not confounded by isolation by distance or isolation by habitat resistance. A generalized dissimilarity model (GDM) attributed spatial turnover in potentially adaptive loci to temperature, precipitation and NDVI amplitude, a measure of vegetation green-up potential.