Time series analysis of stratospheric ozone

Time series analyses of monthly average total ozone measured at 37 stations throughout the world were used to estimate the extent to which the average ozone trend correlates with the depletion curve hypothesized as due to chlorofluorocarbons (CFCs). Statistical characteristics of stations in the ensemble were used to help define appropriate model and station selection criteria. The maximum likelihood procedure developed herein estimates the weighted average trend, its. variance, and the intra- and inter-station variance components of the trend. Correlations among trends at different stations are also taken into account. The models were subjected to much checking and criticism. Variations in statistical methodology are used to show that the results are insensitive to details of the model selection criteria. The method does not discriminate well between the hypothesized CFC trend and a linear trend. The trend estimates represent the sum of all long-term global effects. The variance includes all effects that differ from station-to-station. The estimated trend and 2α limits for 14 stations with 20-year records (1958-79) is an ozone increase through 1979 of (1.5+1.0) percent. At the 23 stations with shorter records, the trend is (1.0=1.7) percent. It is concluded that no significant depletion in stratospheric ozone has occurred from any cause through the end of 1979.     

Iterative bias reduction: a comparative study

Multivariate nonparametric smoothers, such as kernel based smoothers and thin plate splines smoothers, are adversely impacted by the sparseness of data in high dimension, also known as the curse of dimensionality. Adaptive smoothers, that can exploit the underlying smoothness of the regression function, may partially mitigate this effect. This paper presents a comparative simulation study of a novel adaptive smoother (IBR) with competing multivariate smoothers available as package or function within the R language and environment for statistical computing. Comparison between the methods are made on simulated datasets of moderate size, from 50 to 200 observations, with two, five or 10 potential explanatory variables, and on a real dataset. The results show that the good asymptotic properties of IBR are complemented by a very good behavior on moderate sized datasets, results which are similar to those obtained with Duchon low rank splines.     

Semiparametric estimation of plane similarities: application to fast computation of aeronautic loads

In the big data era, it is often needed to resolve the problem of parsimonious data representation. In this paper, the data under study are curves and the sparse representation is based on a semiparametric model. Indeed, we propose an original registration model for noisy curves. The model is built transforming an unknown function by plane similarities. We develop a statistical method that allows to estimate the parameters characterizing the plane similarities. The properties of the statistical procedure are studied. We show the convergence and the asymptotic normality of the estimators. Numerical simulations and a real-life aeronautic example illustrate and demonstrate the strength of our methodology.     

Constructions of ‘the ageless’ asylum seekers: An analysis of how age is understood among professionals working within the norwegian immigration authorities

This article explores how professionals within the Norwegian immigration authorities conceptualise age when doing non-medical age assessments. By using social constructivism, which challenges an ethnocentric quantifying understanding of age, we delve into how socially constructed perceptions of childhood and adulthood manifest in assessment practices and the implications of these. By examining how applicants’ physical appearance, body language and life experience are used as an assessment basis, we argue that the ways age is conceptualised relate to Western ideas and ideals while overlooking other social and cultural backgrounds in which age is embedded.     

Increase in non-native species richness leads to biotic homogenization in vacant lots of a highly urbanized landscape

Urban Ecosystems - Vacant lots, unused lands covered by spontaneous vegetation, are widespread in urban landscapes. Although they are of less conservation value than natural ecosystems, they can...     

Quality of Life as Medicine: Interventions that Induce Salutogenesis. A Review of the Literature

This paper reviews the medical (salutogenic) effect of interventions that aim to improve quality of life. Review of studies where the global quality of life in chronically ill patients was improved independently of subjective and objective factors (like physical and mental health, yearly income, education, social network, self-esteem, sexual ability and problems or work). The methods used were subtypes of integrative medicine (non-drug CAM) like mind body medicine, body psychotherapy, clinical holistic medicine, consciousness-based medicine and sexology. In about 20 papers on QOL as medicine, in cancer, coronary heart disease, chronic pain, mental illness, sexual dysfunction, low self-esteem, low working ability and poor QOL, the most successful intervention strategy seems to be to create a maternal, infantile bonding induced by a combination of conversation therapy and bodywork. The papers examined the treatments of over 2,000 chronically ill or dysfunctional patients and more than 20 different types of health problems. Global QOL measured by SEQOL, QOL5, QOL1, self-rated physical health, self-rated mental health, self-rated sexual functioning, anorgasmia, genital pain, self-rated working ability, self-rated relation to self, well-being, life-satisfaction, happiness, fulfillment of needs, experience of temporal and spatial domains, expression of life’s potentials, and objective functioning. We found “QOL as medicine” able in the treatment of physical disorders and illnesses including chronic pain (Number Needed to Treat (NNT) = 1–3, Number Needed to Harm (NNH) > 500), in mental illness (NNT = 1–3, NNH > 500), in sexual dysfunctions (NNT = 1–2, NNH > 1,000), self-rated low working ability (NNT = 2, NNH > 500), and self-rated low QOL (NNT = 2, NNH > 2,000). We found that QOL improving interventions helped or cured 30–90% of the patients, typically within one year, independent of the type of health problem. “QOL as medicine” seems to be able in improving chronic mental, somatic and sexual health issues without side effects.