Arch Dis Child Educ Pract Ed
August 2019
In a society of diverse views, faiths and beliefs, what can paediatric palliative care contribute to our understanding of children's spirituality? By failing to recognise and respond to their spirituality in this work, we risk missing something of profound importance to children and their families. We overlook their search for wholeness in the absence of cure and fall short of offering truly holistic care. This paper explores how developments in advance care planning and related documentation are addressing these issues.
View Article and Find Full Text PDFAlthough the lethal consequences of extreme heat are increasingly reported in the literature, the fitness costs of exposure to sublethal high air temperatures, typically identified in the 30-40 degrees C range, are poorly understood. We examine the effect of high (> or = 35 degrees C) daily maxima on body condition of a semiarid population of White-plumed Honeyeaters, Ptilotula penicillatus, monitored between 1986 and 2012. During this 26-yr period, temperature has risen, on average, by 0.
View Article and Find Full Text PDFChanges in animal body size have been widely reported as a correlate of contemporary climate change. Body size affects metabolism and fitness, so changing size has implications for resilience, yet the climatic factors that drive size variation remain poorly understood. We test the role of mean and extreme temperature, rainfall, and remotely sensed primary productivity (NDVI) as drivers of body size in a sedentary, semi-arid Australian passerine, Ptilotula (Lichenostomus)penicillatus, over 23 years.
View Article and Find Full Text PDFThis paper presents a new approach to translate between Building Information Modeling (BIM) and Building Energy Modeling (BEM) that uses Modelica, an object-oriented declarative, equation-based simulation environment. The approach (BIM2BEM) has been developed using a data modeling method to enable seamless model translations of building geometry, materials, and topology. Using data modeling, we created a Model View Definition (MVD) consisting of a process model and a class diagram.
View Article and Find Full Text PDFPurpose: For patients with prostate cancer treated by radical prostatectomy, no current personalized tools predict clinical failure (CF; metastasis and/or androgen-independent disease). We developed such a tool through integration of clinicopathologic data with image analysis and quantitative immunofluorescence of prostate cancer tissue.
Patients And Methods: A prospectively designed algorithm was applied retrospectively to a cohort of 758 patients with clinically localized or locally advanced prostate cancer.
We have developed an integrated, multidisciplinary methodology, termed systems pathology, to generate highly accurate predictive tools for complex diseases, using prostate cancer for the prototype. To predict the recurrence of prostate cancer following radical prostatectomy, defined by rising serum prostate-specific antigen (PSA), we used machine learning to develop a model based on clinicopathologic variables, histologic tumor characteristics, and cell type-specific quantification of biomarkers. The initial study was based on a cohort of 323 patients and identified that high levels of the androgen receptor, as detected by immunohistochemistry, were associated with a reduced time to PSA recurrence.
View Article and Find Full Text PDFAlthough perhaps not as well-studied or well-known as other learning disorders, the possible academic and social sequelae of math, writing, motor, or visuospatial dysfunction, as well as difficulties with nonverbal processing and understanding, are readily identifiable and worthy of identification. While pediatricians should not feel compelled to attempt to identify all of the variables of these difficulties, an understanding of them will allow pediatricians to maintain their role as an advocate for patients and families and to feel comfortable communicating with others who are equally dedicated to children.
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