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Total Variance (total + variance)
Selected AbstractsResponses of weaned lambs to fear-eliciting situations: Origin of individual differencesDEVELOPMENTAL PSYCHOBIOLOGY, Issue 2 2003Manon Viérin Abstract The aims of this study were 1) to develop methods of objectively measuring fear in weaned lambs, and 2) to evaluate the effects of age, sex, breed, and rearing conditions on fear reactions. Four hundred forty-one lambs, aged 3 to 6 months, were submitted to three fear-eliciting situations (isolation, surprise effect, and human presence). Factor analysis revealed a first factor, interpreted in terms of fear, that accounted for 40% of total variance in the three tests. As in adult sheep, the main signs of fear were inhibition of feeding, long distance from the frightening stimulus, frequent immobilizations, and numerous high-pitch bleats. Behavior was also influenced by differences in general locomotor activity and exploratory motivation. Fear reactions were influenced by age (3- to 4-month-old lambs more fearful than 5- to 6-month-old), sex (females more fearful than males), breed (Romanov more fearful than Ile-de-France), and rearing conditions (artificial vs. maternal: almost no influence in males and influence in females depending on age). These results with sheep provide interesting theoretical and practical perspectives to the study of fearfulness. © 2003 Wiley Periodicals, Inc. Dev Psychobiol 42: 131,147, 2003 [source] Evidence for distinct effects of GH and IGF-I in the metabolic syndromeDIABETIC MEDICINE, Issue 9 2007P. Maison Abstract Aims, The metabolic syndrome is a cluster of cardiovascular risk factors which include central obesity, dyslipidaemia, glucose intolerance and hypertension. These risk factors are common in patients with growth hormone (GH) deficiency, suggesting a role for the somatotropic axis in the development of metabolic syndrome. Methods, We used factor analysis to investigate the relationships linking serum levels of GH and insulin-like growth factor I (IGF-I) to metabolic syndrome variables (high-density lipoprotein cholesterol, triglycerides, fasting glucose, blood pressure and waist circumference). We studied 359 men and 388 women from the Data from an Epidemiological Study on the Insulin Resistance syndrome (DESIR). Their age range was 30,64 years. Results, Three independent latent factors explained 61% of the total variance in women and four factors explained 73% in men. In both men and women, IGF-I showed a strong positive correlation with the lipid factor and a negative correlation with the obesity/glucose factor. In women, GH showed a strong negative correlation with the obesity/glucose factor but not the lipid factor. In men, GH was unrelated to the lipid and obesity/glucose factors. The blood pressure factor was not related to GH or IGF-I. In contrast with IGF-I, GH was significantly lower in women with metabolic syndrome (1575 ± 449 pg/ml) than in the other women (2121 ± 520 pg/ml, P = 0.002). No significant difference was observed in men for GH or IGF-I. Conclusion, Our results support a link between the somatotropic axis and several features of the metabolic syndrome, and suggest distinct effects of GH and IGF-I on these parameters. [source] Genetic and environmental influences on cannabis use initiation and problematic use: a meta-analysis of twin studiesADDICTION, Issue 3 2010Karin J. H. Verweij ABSTRACT Background Because cannabis use is associated with social, physical and psychological problems, it is important to know what causes some individuals to initiate cannabis use and a subset of those to become problematic users. Previous twin studies found evidence for both genetic and environmental influences on vulnerability, but due to considerable variation in the results it is difficult to draw clear conclusions regarding the relative magnitude of these influences. Methods A systematic literature search identified 28 twin studies on cannabis use initiation and 24 studies on problematic cannabis use. The proportion of total variance accounted for by genes (A), shared environment (C) and unshared environment (E) in (i) initiation of cannabis use and (ii) problematic cannabis use was calculated by averaging corresponding A, C and E estimates across studies from independent cohorts and weighting by sample size. Results For cannabis use initiation, A, C and E estimates were 48%, 25% and 27% in males and 40%, 39% and 21% in females. For problematic cannabis use A, C and E estimates were 51%, 20% and 29% for males and 59%, 15% and 26% for females. Confidence intervals of these estimates are considerably narrower than those in the source studies. Conclusions Our results indicate that vulnerability to both cannabis use initiation and problematic use was influenced significantly by A, C and E. There was a trend for a greater C and lesser A component for cannabis use initiation compared to problematic use for females. [source] A course of treatment of binge eating disorder: a time series approachEUROPEAN EATING DISORDERS REVIEW, Issue 2 2006Beate Wild Abstract Objective The aim of the study was an analysis of the therapeutic course of treatment of a patient with binge eating disorder (BED), who participated in the multi-modal intervention programme at the Medical University Hospital of Heidelberg. Method Throughout the course of the treatment period, the patient answered questions daily on a handheld computer about her eating behaviour as well as her psychological and physical state. Diary data was analysed with a time series analysis method. Results Multiple regression analysis revealed that both depression and distress were same-day predictors for eating behaviour. Delayed predictors were both the eating behaviour and the anxiety of the previous day, as well as the activity 2 days earlier. The model accounts for 55% of the total variance. Discussion The findings of this study expand upon the evidence of previous cross-sectional studies, suggesting that the development process of the eating behaviour during treatment is strongly associated with affective variables. The study demonstrates that changes that occur during the treatment occur simultaneously on multiple levels. The causal interpretation of the delayed predictors shows that for this patient anxiety is a trigger of binge eating episodes. Copyright © 2006 John Wiley & Sons, Ltd and Eating Disorders Association. [source] Self-efficacy beliefs and levels of anxiety in advanced cancer patientsEUROPEAN JOURNAL OF CANCER CARE, Issue 2 2010K. MYSTAKIDOU md, associate professor MYSTAKIDOU K., TSILIKA E., PARPA E., GOGOU P., THEODORAKIS P. & VLAHOS L. (2010) European Journal of Cancer Care19, 205,211 Self-efficacy beliefs and levels of anxiety in advanced cancer patients The aims of this study were to investigate the self-efficacy and anxiety in advanced cancer patients in a palliative care unit. The subject is some 99 advanced cancer patients, treated for pain relief and cancer-related symptoms. Patients completed the General Perceived Self-Efficacy Scale (GSE) and the Spielberger's State-Trait Anxiety Inventory (STAI). The Eastern Cooperative Oncology Group was used to measure patients' performance status. Statistically significant associations were found between GSE, patients' gender, performance status, opioids and all the STAI scales. The multiple regression analysis revealed that self-efficacy was predicted by patients' age, performance status, gender, as well as by their high levels on two STAI scales, in a model explaining 39.7% of the total variance. In advanced cancer patients, self-efficacy is significantly correlated with levels of anxiety, patients' physical condition and demographic characteristics. Also, it seems to be influenced by components of the STAI, patients' age, physical performance and gender. [source] Dental beliefs: factor structure of the revised dental beliefs survey in a group of regular dental patientsEUROPEAN JOURNAL OF ORAL SCIENCES, Issue 6 2009Kajsa H. Abrahamsson The aim of this study was to investigate the factor structure of the revised dental beliefs survey (DBS-R) in a group of regular dental patients. The study group consisted of 278 patients (mean age 54 yr), 61% of whom were women. The DBS-R item mean value was 1.6. Principal component analysis (PCA) and confirmatory factor analysis (CFA) were performed. The initial PCA among the 28 DBS-R items showed four factors with eigenvalues of > 1 explaining 67% of the total variance. Five different CFA models were tested. The final model revealed a four-factor solution with one second-order factor (i.e. a hierarchical CFA). Thus, the latent second-order variable, ,dental beliefs', explains the variance from all DBS-R items through the four first-order factors labeled ,ethics', ,belittlement', ,communication and empathy', and ,control and anxiety'. The results suggest a somewhat different factor structure of DBS-R than previously reported for dental-fear patients. Hence, the underlying factor structure of the DBS-R may differ between different patient groups. The results point towards the use of the original 28-item DBS-R and interpreting the scale as measuring an overall construct of ,dental beliefs' and thus patients' attitudes and feelings related to dentists and dentistry. [source] Fine scale spatial pattern of Pacific sardine (Sardinops sagax) and northern anchovy (Engraulis mordax) eggsFISHERIES OCEANOGRAPHY, Issue 4 2004K. Alexandra Curtis Abstract Pacific sardine (Sardinops sagax) and northern anchovy (Engraulis mordax) eggs exhibited different spatial structure on the scale of 0.75,2.5 km in two egg patches sampled in the Southern California Bight in April 2000. Plankton samples were collected at 4-min intervals with a Continuous Underway Fish Egg Sampler (CUFES) on 5 × 5 km grids centered on surface drifters. Variograms were calculated for sardine and anchovy eggs in Lagrangian coordinates, using abundances of individual developmental stages grouped into daily cohorts. Model variograms for sardine eggs have a low nugget effect, about 10% of the total variance, indicating high autocorrelation between adjacent samples. In contrast, model variograms for anchovy eggs have a high nugget effect of 50,100%, indicating that most of the variance at the scales sampled is spatially unstructured. The difference between observed spatial patterns of sardine and anchovy eggs on this scale may reflect the behavior of the spawning adults: larger, faster, more abundant fish may organize into larger schools with greater structure and mobility that create smoother egg distributions. Size and mobility vary with population size in clupeoids. The current high abundance of sardines and low abundance of anchovy off California agree with the greater autocorrelation of sardine egg samples and the observed tendency for locations of anchovy spawning to be more persistent on the temporal scale of days to weeks. Thus the spatial pattern of eggs and the persistence of spawning areas are suggested to depend on species, population size and age structure, spawning intensity and characteristic physical scales of the spawning habitat. [source] Volatile compounds after spontaneous fermentation of musts from Vitis vinifera cv. Albariño grapes cultivated in different origins from Rías Baixas AOC, SpainFLAVOUR AND FRAGRANCE JOURNAL, Issue 5 2006S. Zamúz Abstract White wines experimentally produced from the white grape variety Albariño from three different areas from Rias Baixas AOC, north-western Spain, have been analysed in this study. The contents of terpenes, C13 -norisoprenoids, alcohols, acetates and ethyl esters were determined by GC,MS. The Albariño wines from O Rosal are characterized by a high content of higher alcohols, while wines from Val do Salnés show the highest concentrations of free terpenes, acetates and ethyl esters; and wines of Condado do Tea show the highest concentrations of C13 -norisoprenids, principally due to the ,-ionone. Two principal components accounting for 90.7% of the total variance were calculated by means of a principal components analysis (PCA), and the graphical representation of these two components allows grouping the wines according their respective origins. Volatile compounds with fruity and floral odours showed the highest odour activity values, contributing in a great measure to the aroma of Albariño wines. Copyright © 2006 John Wiley & Sons, Ltd. [source] Influence of stream geomorphic condition on fish communities in Vermont, U.S.A.FRESHWATER BIOLOGY, Issue 10 2006EIKA P. SULLIVAN, S. MA Summary 1. Evaluations of stream geomorphic condition may increase our understanding of the composite effects of human-induced habitat change on fish communities. Using systematic sampling of 44 reaches spread across 26 rivers in Vermont from 2002 through 2004, we tested the hypothesis that stream reaches in reference geomorphic condition would support fish assemblages that differed in diversity and productivity from fish communities found in reaches of poorer geomorphic condition. 2. At each study reach, we sampled the fish community, identified the morphological unit according to common stream classification systems and then evaluated the extent of deviation from reference geomorphic condition using a regionally adapted geomorphic assessment methodology. 3. We used principal component analysis (PCA) and linear regression to build exploratory models linking stream geomorphic condition to fish community characteristics. 4. Our results suggest that geomorphic condition significantly influences fish community diversity, productivity and condition. Geomorphic condition was a significant factor in all of our fish community models. In conjunction with additional reach characteristics, geomorphic condition explained up to 31% of the total variance observed in models for species diversity of fish communities, 44% of the variance in assemblage biomass and 45% of the variance in a regional index of biotic integrity. 5. Our work builds on single-species evidence that geomorphic characteristics represent important local-scale fish-habitat variables, showing that stream geomorphic condition is a dominant factor affecting entire fish communities. Our results enhance our understanding of the hierarchy of factors that influences fish community diversity and organisation and support the use of geomorphic condition assessments in stream management. [source] A principal components regression approach to multilocus genetic association studiesGENETIC EPIDEMIOLOGY, Issue 2 2008Kai Wang Abstract With the rapid development of modern genotyping technology, it is becoming commonplace to genotype densely spaced genetic markers such as single nucleotide polymorphisms (SNPs) along the genome. This development has inspired a strong interest in using multiple markers located in the target region for the detection of association. We introduce a principal components (PCs) regression method for candidate gene association studies where multiple SNPs from the candidate region tend to be correlated. In this approach, the total variance in the original genotype scores is decomposed into parts that correspond to uncorrelated PCs. The PCs with the largest variances are then used as regressors in a multiple regression. Simulation studies suggest that this approach can have higher power than some popular methods. An application to CHI3L2 gene expression data confirms a significant association between CHI3L2 gene expression level and SNPs from this gene that has been previously reported by others. Genet. Epidemiol. 2008. © 2007 Wiley-Liss, Inc. [source] Genetics of the apnea hypopnea index in Caucasians and African Americans: I. Segregation analysisGENETIC EPIDEMIOLOGY, Issue 3 2002Sarah G. Buxbaum Abstract Differences in age of presentation and anatomic risk factors for obstructive sleep apnea (OSA) in Caucasians and African Americans suggest possible racial differences in the genetic underpinnings of the disorder. In this study, we assess transmission patterns in a Caucasian sample consisting of 177 families (N = 1,195) and in an African American sample consisting of 125 families (N = 720) for two variables: 1) apnea hypopnea index (AHI) log transformed and adjusted for age, and 2) AHI log transformed and adjusted for age and body mass index (BMI). We allowed for residual familial correlations and sex-specific means in all models. Analysis of the Caucasian sample showed transmission patterns consistent with that of a major gene that were stronger in the age-adjusted variable than in the age- and BMI-adjusted variable. However, in the African American families, adjusting for BMI in addition to age gave stronger evidence for segregation of a codominant gene with an allele frequency of 0.14, accounting for 35% of the total variance. These results provide support for an underlying genetic basis for OSA that in African Americans is independent of the contribution of BMI. Genet. Epidemiol. 22:243,253, 2002. © 2002 Wiley-Liss, Inc. [source] Estimating the Variability of Active-Layer Thaw Depth in Two Physiographic Regions of Northern AlaskaGEOGRAPHICAL ANALYSIS, Issue 2 2001Claire E. Gomersall The active layer is the zone above permafrost that experiences seasonal freeze and thaw. Active-layer thickness varies annually in response to air and surface temperature, and generally decreases poleward. Substantially less is known about thaw variability across small lateral distances in response to topography, parent material, vegetation, and subsurface hydrology. A graduated steel rod was used to measure the 1998 end-of-season thaw depth across several transects. A balanced hierarchical sampling design was used to estimate the contribution to total variance in active-layer depth at separating distances of 1, 3, 9, 27, and 100 meters. A second sampling scheme was used to examine variation at shorter distances of 0.3 and 0.1 meter. This seven-stage sample design was applied to two sites in the Arctic Foothills physiographic province, and four sites on the Arctic Coastal Plain province in northern Alaska. The spatial variability for each site was determined using ANOVA and variogram methods to compare intersite and inter-province variation. Spatial variation in thaw depth was different in the Foothills and Coastal Plain sites. A greater percentage of the total variance occurs at short lag distances (0,3 meters) at the Foothills sites, presumably reflecting the influence of frost boils and tussock vegetation on ground heat flow. In contrast, thaw variation at the Coastal Plain sites occurs at distances exceeding 10 meters, and is attributed to the influence of well-developed networks of ice-wedge polygons and the presence of drained thaw-lake basins. This information was used to determine an ongoing sampling scheme for each site and to assess the suitability of each method of analysis. [source] Richness patterns, species distributions and the principle of extreme deconstructionGLOBAL ECOLOGY, Issue 2 2009Levi Carina Terribile ABSTRACT Aim, To analyse the global patterns in species richness of Viperidae snakes through the deconstruction of richness into sets of species according to their distribution models, range size, body size and phylogenetic structure, and to test if environmental drivers explaining the geographical ranges of species are similar to those explaining richness patterns, something we called the extreme deconstruction principle. Location, Global. Methods, We generated a global dataset of 228 terrestrial viperid snakes, which included geographical ranges (mapped at 1° resolution, for a grid with 7331 cells world-wide), body sizes and phylogenetic relationships among species. We used logistic regression (generalized linear model; GLM) to model species geographical ranges with five environmental predictors. Sets of species richness were also generated for large and small-bodied species, for basal and derived species and for four classes of geographical range sizes. Richness patterns were also modelled against the five environmental variables through standard ordinary least squares (OLS) multiple regressions. These subsets are replications to test if environmental factors driving species geographical ranges can be directly associated with those explaining richness patterns. Results, Around 48% of the total variance in viperid richness was explained by the environmental model, but richness sets revealed different patterns across the world. The similarity between OLS coefficients and the primacy of variables across species geographical range GLMs was equal to 0.645 when analysing all viperid snakes. Thus, in general, when an environmental predictor it is important to model species geographical ranges, this predictor is also important when modelling richness, so that the extreme deconstruction principle holds. However, replicating this correlation using subsets of species within different categories in body size, range size and phylogenetic structure gave more variable results, with correlations between GLM and OLS coefficients varying from ,0.46 up to 0.83. Despite this, there is a relatively high correspondence (r = 0.73) between the similarity of GLM-OLS coefficients and R2 values of richness models, indicating that when richness is well explained by the environment, the relative importance of environmental drivers is similar in the richness OLS and its corresponding set of GLMs. Main conclusions, The deconstruction of species richness based on macroecological traits revealed that, at least for range size and phylogenetic level, the causes underlying patterns in viperid richness differ for the various sets of species. On the other hand, our analyses of extreme deconstruction using GLM for species geographical range support the idea that, if environmental drivers determine the geographical distribution of species by establishing niche boundaries, it is expected, at least in theory, that the overlap among ranges (i.e. richness) will reveal similar effects of these environmental drivers. Richness patterns may be indeed viewed as macroecological consequences of population-level processes acting on species geographical ranges. [source] The genetic diversity of perennial Leymus chinensis originating from ChinaGRASS & FORAGE SCIENCE, Issue 1 2007Z. P. Liu Summary Leymus chinensis is an economically and ecologically important grass that is widely distributed across eastern areas of the Eurasian steppe. A better knowledge of genetic diversity of L. chinensis could be valuable in the efficient utilization, conservation and management of germplasm collections. Genetic diversity in thirty-seven morphological characters of 293 accessions was assessed in three successive years. Based on these qualitative and quantitative characters, the genetic diversity indices (Shannon indices) of traits and geographical populations were estimated, and a principal coordinates analysis and a path analysis were undertaken. Compared with the yellow-green type of L. chinensis, the grey-green type had significantly (P < 0·05) more genetic diversity. In addition, the path analysis suggested that the combined effects of genetic diversity and vegetative traits could explain 0·206 of the total variance in plant reproductive traits. The highest Shannon genetic diversity index of accessions (H = 2·252) was observed in accessions from the region of longitude of 124,128°E, suggesting the most abundant germplasm of L. chinensis in this region. [source] Sensitivity analysis of prior model probabilities and the value of prior knowledge in the assessment of conceptual model uncertainty in groundwater modellingHYDROLOGICAL PROCESSES, Issue 8 2009Rodrigo Rojas Abstract A key point in the application of multi-model Bayesian averaging techniques to assess the predictive uncertainty in groundwater modelling applications is the definition of prior model probabilities, which reflect the prior perception about the plausibility of alternative models. In this work the influence of prior knowledge and prior model probabilities on posterior model probabilities, multi-model predictions, and conceptual model uncertainty estimations is analysed. The sensitivity to prior model probabilities is assessed using an extensive numerical analysis in which the prior probability space of a set of plausible conceptualizations is discretized to obtain a large ensemble of possible combinations of prior model probabilities. Additionally, the value of prior knowledge about alternative models in reducing conceptual model uncertainty is assessed by considering three example knowledge states, expressed as quantitative relations among the alternative models. A constrained maximum entropy approach is used to find the set of prior model probabilities that correspond to the different prior knowledge states. For illustrative purposes, a three-dimensional hypothetical setup approximated by seven alternative conceptual models is employed. Results show that posterior model probabilities, leading moments of the predictive distributions and estimations of conceptual model uncertainty are very sensitive to prior model probabilities, indicating the relevance of selecting proper prior probabilities. Additionally, including proper prior knowledge improves the predictive performance of the multi-model approach, expressed by reductions of the multi-model prediction variances by up to 60% compared with a non-informative case. However, the ratio between-model to total variance does not substantially decrease. This suggests that the contribution of conceptual model uncertainty to the total variance cannot be further reduced based only on prior knowledge about the plausibility of alternative models. These results advocate including proper prior knowledge about alternative conceptualizations in combination with extra conditioning data to further reduce conceptual model uncertainty in groundwater modelling predictions. Copyright © 2009 John Wiley & Sons, Ltd. [source] Processes governing river water quality identified by principal component analysisHYDROLOGICAL PROCESSES, Issue 16 2002I. Haag Abstract The present study demonstrates the usefulness of principal component analysis in condensing and interpreting multivariate time-series of water quality data. In a case study the water quality system of the lock-regulated part of the River Neckar (Germany) was analysed, with special emphasis on the oxygen budget. Pooled data of ten water quality parameters and discharge, which had been determined at six stations along a 200 km reach of the river between the years 1993 and 1998, were subjected to principal component analysis. The analysis yielded four stable principal components, explaining 72% of the total variance of the 11 parameters. The four components could be interpreted confidently in terms of underlying processes: biological activity, dilution by high discharge, seasonal effects and the influence of wastewater. From analysing the data of single stations separately, these processes were found to be active throughout the complete reach. Considering the oxygen budget of the river, the variance of biological activity, representing the counteracting processes of primary production and microbial degradation, was found to be most important. This principal component explained 79% of the observed variance of oxygen saturation. In contrast, the analysis of a reduced data set from the 1970s showed that oxygen saturation was then dominated by discharge and temperature variations. The findings indicate that the oxygen budget used to be governed directly by the emission of degradable matter, whereas nowadays eutrophication is most important for extreme oxygen concentrations. Therefore, controlling eutrophication has to be the primary goal, in order to mitigate the rare episodes of pronounced oxygen over- and undersaturation in the future. Copyright © 2002 John Wiley & Sons, Ltd. [source] Predicting summer rainfall in the Yangtze River basin with neural networksINTERNATIONAL JOURNAL OF CLIMATOLOGY, Issue 7 2008Heike Hartmann Abstract Summer rainfall in the Yangtze River basin is predicted using neural network techniques. Input variables (predictors) for the neural network are the Southern Oscillation Index (SOI), the East Atlantic/Western Russia (EA/WR) pattern, the Scandinavia (SCA) pattern, the Polar/Eurasia (POL) pattern and several indices calculated from sea surface temperatures (SST), sea level pressures (SLP) and snow data from December to April for the period from 1993 to 2002. The output variable of the neural network is rainfall from May to September for the period from 1994 to 2002, which was previously classified into six different regions by means of a principal component analysis (PCA). Rainfall is predicted from May to September 2002. The winter SST and SLP indices are identified to be the most important predictors of summer rainfall in the Yangtze River basin. The Tibetan Plateau snow depth, the SOI and the other teleconnection indices seem to be of minor importance for an accurate prediction. This may be the result of the length of the available time series, which does not allow a deeper analysis of the impact of multi-annual oscillations. The neural network algorithms proved to be capable of explaining most of the rainfall variability in the Yangtze River basin. For five out of six regions, our predictions explain at least 77% of the total variance of the measured rainfall. Copyright © 2007 Royal Meteorological Society [source] Simulation of Indian summer monsoon: sensitivity to cumulus parameterization in a GCMINTERNATIONAL JOURNAL OF CLIMATOLOGY, Issue 8 2007S. K. Deb Abstract Hindcasts for the Indian summer monsoons (ISMs) of 2002 and 2003 have been produced from a series of numerical simulations performed with a general circulation model using different cumulus parameterization schemes. Ten sets of ensemble simulations have been produced without using any vegetation scheme but by prescribing the monthly observed SST from the ECMWF (European Centre for Medium Range Weather Forecasts) analyses. For each ensemble, ten simulations have been realised with different initial conditions that are also prepared from the ECMWF data: five each from the April and May analyses of both the years. Stream function, velocity potential with divergent winds at 200 hPa, winds at 850 hPa and rainfall patterns with their anomalies have been analysed and interpreted. The large-scale upper and lower level circulation features are simulated satisfactorily. The spatial structure of predicted July monsoon rainfall over India shows a fair agreement with the GPCP (observed) pentad rainfall distribution. The variability associated with all-India June,July simulated rainfall time series matches reasonably well with the observations in 2003, but the model fails to simulate the observed variability in July 2002. Further evaluation of the model-produced precipitation in seasonal simulations is done with the help of empirical orthogonal functions (EOFs) of the GPCP rainfall over India. Since the first four EOFs explain a significant part of the total variance of the observed rainfall, the simulated precipitation is projected on to these modes. Thus, the differences in simulated and observed rainfall fields manifest in the time series of their expansion coefficients, which are utilised for inter-comparison/evaluation of model simulations. Copyright © 2006 Royal Meteorological Society [source] Influence of seasonal pressure patterns on temporal variability of vegetation activity in Central SiberiaINTERNATIONAL JOURNAL OF CLIMATOLOGY, Issue 3 2006Sergio M. Vicente-Serrano Abstract This paper analyses the spatial distribution of the inter-annual variability of vegetation activity in central Siberia and its relationship with atmospheric circulation variability. We used NOAA-AVHRR NDVI series from Pathfinder Land Data Set at 1° of spatial resolution, and we calculated the annual vegetation activity in each pixel (aNDVI) from 1982 to 2001. Principal component analysis (PCA) was used to determine the general spatial patterns of inter-annual variability of vegetation activity. We identified three main modes, which explain more than 50% of the total variance, each corresponding to a large region. By means of surface pressure grids, we analysed the main patterns of the seasonal atmospheric circulation in the study area: its variability was summarised by means of a few circulation modes and the patterns differ significantly between winter, spring and summer. However, a pattern with a North,South dipole structure represents the general spatial pattern of atmospheric circulation. We investigated the effect of seasonal atmospheric circulation patterns on the inter-annual variation of vegetation activity. In general, the strongest relationships between the atmospheric circulation variability, climate and the aNDVI variability were found in areas where the climatic characteristics are more limiting for the vegetation development, such as the northern regions. This may be explained by the fact that in these areas the variability of atmospheric circulation modes determines summer temperatures, which have a direct impact on vegetation activity. Copyright © 2006 Royal Meteorological Society. [source] Mediated and direct effects of the North Atlantic Ocean on winter temperatures in northwest EuropeINTERNATIONAL JOURNAL OF CLIMATOLOGY, Issue 3 2003Martina M. Junge Abstract This study has used a multiple regression model to quantify the importance of wintertime mean North Atlantic sea-surface temperatures (SSTs) for explaining (simultaneous) variations in wintertime mean temperatures in northwestern Europe. Although wintertime temperature variations are primarily determined by atmospheric flow patterns, it has been speculated that North Atlantic SSTs might also provide some additional information. To test this hypothesis, we have attempted to explain 1900,93 variations in wintertime mean central England temperature (CET) by using multiple regression with contemporaneous winter mean North Atlantic sea-level pressures (SLPs) and SSTs as explanatory variables. With no SST information, the leading SLP patterns (including the North Atlantic oscillation) explain 63% of the total variance in winter mean CET; however, SSTs alone are capable of explaining only 16% of the variance in winter mean CET. Much of the SST effect is ,indirect' in that it supplies no more significant information than already contained in the mean SLP; e.g. both SLP and SST together can only explain 68% of the variance. However, there is a small (5% variance) direct effect due to SST that is not mediated by mean SLP, which has a spatial pattern resembling the Newfoundland SST pattern identified by Ratcliffe and Murray (1970. Quarterly Journal of the Royal Meteorological Society 96: 226,246). In predictive mode, however, using explanatory variables from preceding seasons, SSTs contain more information than SLP factors. On longer time scales, the variance explained by contemporaneous SST increases, but the SLP explanatory variables still provide a better model than the SST variables. Copyright © 2003 Royal Meteorological Society [source] Long-term changes in ozone mini-hole event frequency over the Northern Hemisphere derived from ground-based measurementsINTERNATIONAL JOURNAL OF CLIMATOLOGY, Issue 12 2002Janusz W. Krzy Abstract Decadal changes of ozone mini-hole event appearance over the Northern Hemisphere midlatitudes are examined based on daily total ozone data from seven stations having long records (four decades or more) of ozone observations. The various threshold methods for accepting and rejecting the ozone minima as mini-holes are examined. Mini-hole event activity is seen to be rather stable when averaged over a decadal time scale if the mini-holes are selected as large negative departures (exceeding 20%) relative to the moving long-term total ozone reference. The results are compared with a previous ozone mini-hole climatology derived from satellite data (TOMS measurements on board the Nimbus-7 satellite for the period 1978,93). A nonlinear statistical model (MARS), which takes into account various total ozone dynamical proxies (from NCEP,NCAR reanalysis), is used to study dynamical factors responsible for the ozone extremes over Arosa in the period 1950,99. The model explains as much as 95% of the total variance of the ozone extremes. The model,observation differences averaged over the decadal intervals are rather smooth throughout the whole period analysed. It is suggested that the short-term dynamical processes controlling the appearance of ozone extremes influenced the ozone field in a similar way before and after the onset of abrupt ozone depletion in the early 1980s. The analysis of the ozone profile and the tropopause pressure (from the ozonesondings over Hohenpeissenberg, 1966,99) during mini-hole events shows ,60% ozone reduction in the lower stratosphere and an approximately 50 hPa upward shift of the thermal tropopause there. Copyright © 2002 Royal Meteorological Society. [source] Mesoscale precipitation variability in the region of the European Alps during the 20th centuryINTERNATIONAL JOURNAL OF CLIMATOLOGY, Issue 9 2002Jürg Schmidli Abstract The purpose of this study is to construct and evaluate a new gridded analysis of precipitation that covers the entire region of the European Alps (43.2,48.8 ° N, 3.2,16.2 ° E), resolves the most prominent mesoscale variations (grid spacing 25 km) and extends with a monthly time-resolution over most of the 20th century (1901,90). The analysis is based on a reconstruction using the reduced-space optimal interpolation technique. It combines data from a high-resolution network over a restricted time period (1971,90) with homogeneous centennial records from a sparse sample of stations. The reconstructed fields account for 78% of the total variance in a cross-validation with independent data. The explained variance for individual grid points varies between 60 and 95%, with lower skills over the southern and western parts of the domain. For averages over 100 × 100 km2 subdomains, the explained variance increases to 90,99%. Comparison of the reconstruction with the CRU05 global analysis reveals good agreement with respect to the interannual variations of large subdomain averages (10 000,50 000 km2), some differences in decadal variations, especially for recent decades, and physically more plausible spatial patterns in the present analysis. The new dataset is exploited to depict 20th century precipitation variations and their correlations with the North Atlantic oscillation (NAO). A linear trend analysis (1901,90) reveals an increase of winter precipitation by 20,30% per 100 years in the western part of the Alps, and a decrease of autumn precipitation by 20,40% to the south of the main ridge. Correlations with the NAO index (NAOI) are weak and highly intermittent to the north and weak and more robust to the south of the main Alpine crest, indicating that changes in the NAOI in recent decades are not of primary importance in explaining observed precipitation changes. Copyright © 2002 Royal Meteorological Society [source] Climate of the seasonal cycle in the North Pacific and the North Atlantic oceansINTERNATIONAL JOURNAL OF CLIMATOLOGY, Issue 4 2001Igor M. Yashayaev Abstract Time series of monthly sea-surface temperature (SST), air temperature (AT) and sea level pressure (SLP) were constructed from merged releases of the Comprehensive Ocean-Atmosphere Data Set (COADS). The time series were decomposed into seasonal and non-seasonal (short and long-term) components. The contribution of the seasonal cycle to the total variance of SST and AT exceeds 80% in the mid and in some high latitude locations and reaches its peak (>95%) in the centres of subtropical gyres. In most cases, a combination of annual and semiannual harmonics accounts for more than 95% of the seasonal variability. Amplitudes of SST and AT annual cycles are highest near the western boundaries of the oceans; annual phases of SST and AT increase toward the eastern tropical oceans, revealing a southeastern propagation of the annual cycle over the Northern Hemisphere oceans. The annual cycle of AT leads that of SST by 1,3 weeks. The largest phase differences are observed in the regions of western boundary currents in the North Pacific and the North Atlantic oceans. This is consistent with spatial patterns of integral air,sea heat fluxes. Annual phases of SST increase along the Gulf Stream and the Kuroshio Current. This points to the importance of signal transport by the major ocean currents. The lowest annual amplitudes of SLP are observed along the equator (0°,10°N) in both oceans. There are three distinct areas of high annual amplitudes of SLP in the North Pacific Ocean: Asian, Aleutian and Californian. Unlike the North Pacific, only one such area exists in the North Atlantic centred to the west of Iceland. A remarkable feature in the climate of the North Pacific is a maximum of semiannual SLP amplitudes, centred near 40°N and 170°W. It is also an absolute maximum in the entire Northern Hemisphere. Analysis of phases of harmonics of SLP seasonal cycle has revealed the trajectories of propagation of the annual and semiannual cycles. Analysis of semiannual to annual amplitudes ratio has revealed the regions of semiannual cycle dominance. Copyright © 2001 Royal Meteorological Society [source] Objective emotional assessment of tactile hair properties and their modulation by different product worldsINTERNATIONAL JOURNAL OF COSMETIC SCIENCE, Issue 3 2002W. Boucsein Synopsis Tactile properties of cosmetic products constitute weak stimuli and thus can be expected to be easily modified by mental images. In order to enhance an intended positive-emotion-inducing effect of such a product, its experience can be embedded in a certain ,world' that generates a positive emotional imagination. The present study investigated such an influence in 12 males and 12 females, half of each being laymen and experts in sensory assessment. Two product worlds (emotional and technical) and three different hair samples, two of them treated with different shampoos and an untreated one as control, were presented to each subject in counter-balanced order of all six combinations. An objective emotional assessment using a psychophysiological technique developed in an earlier study was applied and compared with a traditional sensory assessment. Among the physiological measures, peripheral blood volume and facial muscular activity were the most sensitive in revealing effects of and interactions between the product worlds and hair samples. A multivariate evaluation of the physiological data revealed three discriminant functions that explained 78.4% of the total variance and enabled a re-classification considerably better than chance. The first discriminant function clearly separated the treated from the untreated hair samples which was not possible by subjective ratings or traditional sensory assessment. The two other discriminant functions comprised a hedonistic and a product world factor. The emotional product world exerted the largest influence in case of the weakest tactile differences between the hair samples, and its influence was larger on laymen than on experts. Gender effects were most prominent in the subjective domain. In conclusion, multivariate psychophysiological methodology is superior to traditional sensory assessment in revealing subtle differences in the tactile perception of cosmetic products. Résumé Les propriétés tactiles des produits cosmétiques constituent de faibles stimuli, de sorte que l'on peut s'attendre à ce qu'elles soient facilement modifiées par des images mentales. Afin d'intensifier l'effet intentionnellement incitant à une émotion positive envers un tel produit, son expérience peut être introduite dans un certain ,environnement' qui engendrerait une imagination émotionelle positive. La présente étude a testé telle influence sur 12 hommes et 12 femmes, la moitié de chaque groupe étant noninitiée et l'autre experte en évaluation sensorielle. Nous avons présentéà chaque sujet, par ordre contrebalancé des six possibilités, deux ,environnements' du produit (émotif et technique), et trois différents échantillons capillaires dont deux où les cheveux étaient traités par différents shampooings, et, pour le contrôle, un échantillon de cheveux nontraités. Nous avons employé une évaluation émotionelle objective par une technique psychophysiologique développée durant une étude précédente et l'avons comparée à une évaluation sensorielle traditionnelle. Parmi les mesures physiologiques, le volume sanguin périphérique et les activités des muscles faciaux étaient exceptionnellement sensibles à manifester les effets des ,environnements' du produit, et des échantillons, ainsi que les interactions entre eux. Une évaluation multivariante des données physiologiques dévoila trois fonctions discriminantes expliquant les 78.4% de l'ensemble de la variance, et permettant une re-classification considérablement meilleure que le hasard. La première fonction discriminante a nettement distingué les échantillons de cheveux traités de ceux nontraités; ce qui n'était pas possible à travers une évaluation subjective ou des mesures sensorielles traditionnelles. Les deux autres fonctions discriminantes comportaient un facteur hédoniste et d'environnement du produit. Dans le cas des plus faibles différences tactiles entre les échantillons capillaires, l'environnement émotif du produit a exercé plus d'influence sur les noninitiés que sur les experts. Les effets du genre humain étaient surtout marquants dans le domaine subjectif. En conclusion, pour dévoiler les subtiles différences dans la perception tactile des produits cosmétiques, la méthodologie psychophysiologique multivariante est supérieure à l'évaluation sensorielle traditionnelle. [source] Differences in depression symptoms in patients with Alzheimer's and Parkinson's diseases: evidence from the 15-item Geriatric Depression Scale (GDS-15)INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, Issue 10 2007Daniel Weintraub Abstract Objective Depression occurs frequently in patients with both Alzheimer's disease (AD) and Parkinson's disease (PD), but there has been little comparison of depression symptoms in the two populations. Method The 15-item Geriatric Depression Scale (GDS-15) was administered as a depression screening instrument to 232,AD patients and 266,PD specialty care patients with at most mild dementia. Logistic regression models were used to determine disease-specific associations with individual GDS-15 items, and factor analysis was used to assess GDS-15 factor structure in the two populations. Results Controlling for total GDS-15 score and other covariates, AD patients reported more dissatisfaction with life (p,=,0.03) and memory problems (p,<,0.001), while PD patients reported more fearfulness (p,=,0.01), helplessness (p,<,0.01), a preference to stay at home (p,=,0.02), and diminished energy (p,<,0.01). Three factors were generated in PD (explaining 55% of the total variance) and five in AD (explaining 59% of the total variance), and the two main factors generated in both populations related primarily to unhappiness and negative thoughts. Conclusions The factor structure of the GDS-15 is similar in AD and PD patients with at most mild stage dementia, but between-group differences on 6 of the GDS-15 items suggests the non-specificity of certain items in the two populations. Copyright © 2007 John Wiley & Sons, Ltd. [source] The Pregnant Women with HIV Attitude Scale: development and initial psychometric evaluationJOURNAL OF ADVANCED NURSING, Issue 8 2010Lynda A. Tyer-Viola tyer-viola l.a. & duffy m.e. (2010) The Pregnant Women with HIV Attitude Scale: development and initial psychometric evaluation. Journal of Advanced Nursing,66(8), 1852,1863. Abstract Title.,The Pregnant Women with HIV Attitude Scale: development and initial psychometric evaluation. Aim., This paper is a report of the development and initial psychometric evaluation of the Pregnant Women with HIV Attitude Scale. Background., Previous research has identified that attitudes toward persons with HIV/AIDS have been judgmental and could affect clinical care and outcomes. Stigma towards persons with HIV has persisted as a barrier to nursing care globally. Women are more vulnerable during pregnancy. An instrument to specifically measure obstetric care provider's attitudes toward this population is needed to target identified gaps in providing respectful care. Methods., Existing literature and instruments were analysed and two existing measures, the Attitudes about People with HIV Scale and the Attitudes toward Women with HIV Scale, were combined to create an initial item pool to address attitudes toward HIV-positive pregnant women. The data were collected in 2003 with obstetric nurses attending a national conference in the United States of America (N = 210). Content validity was used for item pool development and principal component analysis and analysis of variance were used to determine construct validity. Reliability was analysed using Cronbach's Alpha. Results., The new measure demonstrated high internal consistency (alpha estimates = 0·89). Principal component analysis yielded a two-component structure that accounted for 45% of the total variance: Mothering-Choice (alpha estimates = 0·89) and Sympathy-Rights (alpha estimates = 0·72). Conclusion., These data provided initial evidence of the psychometric properties of the Pregnant Women with HIV Attitude Scale. Further analysis is required of the validity of the constructs of this scale and its reliability with various obstetric care providers. [source] Korean mothers' psychosocial adjustment to their children's cancerJOURNAL OF ADVANCED NURSING, Issue 5 2003Hae-Ra Han PhD RN Background., During the course of adjustment to their child's illness and medical treatment, parents of children with cancer may experience numerous challenges and difficulties. Although parental adjustment has been a research topic for many years, little research has been conducted among families in different cultures and countries. Aim., To identify factors that influence maternal psychosocial adjustment to childhood cancer using a new cultural group: Korean. Methods., A sample of 200 Korean mothers of children with cancer was included in the study. Guided by the double ABCX model of family adjustment and adaptation, a series of variables (i.e. maternal stress, coping, social support and selected illness-related and demographic questions) were examined for their relationships with maternal psychosocial adjustment to childhood cancer. Results., Using a hierarchical multiple regression, we found perceived level of stress, coping, social support, and time since diagnosis to be significant correlates of maternal psychosocial adjustment. Stress accounted for most (50%) of the total variance explained (56%) in maternal adjustment. Conclusion., The results suggest that the stress-coping framework may be appropriate in explaining maternal responses to childhood cancer across cultures. [source] Tuscany autochthonous cattle breeds: an original genetic resource investigated by AFLP markersJOURNAL OF ANIMAL BREEDING AND GENETICS, Issue 1 2006R. Negrini Summary The aim of this study was to assess the genetic diversity of four autochthonous cattle breeds of Tuscany and their relationships in comparison with Italian Friesian and Italian Brown, using amplified fragment length polymorphism markers. A total of 212 individuals were genotyped with three primer combinations generating 102 polymorphic markers. Average expected heterozygosity ranged from 0.23 in Mucca Pisana to 0.26 in Chianina, Italian Friesian, Italian Brown and Maremmana. The differences resulted not significant (Kruskall,Wallis test, p = 0.416). Gst-B index revealed that 86% of the total genetic variance is retained within population and only 14% is accounted by the between populations component. Multivariate analysis at individual and population level indicated that: (i) Calvana and Chianina are quite separate from the other breeds as an effect of the bottleneck experienced or as a signature of different origin; (ii) Podolian, Maremmana and Italian Brown clustered with the double purpose Mucca Pisana, revealing their contribution to its admixed genetic make up; (iii) Italian Friesian behaved always as out group. The ,analysis of molecular variance' recovered a significant subdivision clustering the six populations into three groups: Italian Friesian and Italian Brown versus Maremmana and Mucca Pisana versus Chianina and Calvana (6% of the total variance). [source] Fixed or random contemporary groups in genetic evaluation for litter size in pigs using a single trait repeatability animal modelJOURNAL OF ANIMAL BREEDING AND GENETICS, Issue 1 2003D. Babot Summary The importance of using fixed or random contemporary groups in the genetic evaluation of litter size in pigs was analysed by using farm and simulated data. Farm data were from four Spanish pig breeding populations, two Landrace (13 084 and 13 619 records) and two Large White (2762 and 8455 records). A simulated population (200 sows and 10 boars) selected for litter size, in which litter size was simulated using a repeatability animal model with random herd,year,season (HYS), was used to obtain simulated data. With farm data, the goodness-of-fit and the predictive ability of a repeatability animal model were calculated under several definitions of the HYS effect. A residual maximum likelihood estimator of the HYS variance in each population was obtained as well. In this sense, HYS was considered as either fixed or random with different number of individuals per level. Results from farm data showed that HYS variance was small in relation to the total variance (ranging from 0.01 to 0.04). The treatment of HYS effect as fixed, reduced the residual variance but the size of HYS levels does not explain by itself the goodness-of-fit of the model. The results obtained by simulation showed that the predictive ability of the model is better for random than for fixed HYS models. However, the improvement of predictive ability does not lead to a significant increase of the genetic response. Finally, results showed that random HYS models biased the estimates of genetic response when there is an environmental trend. Zusammenfassung Fixe oder zufällige Vergleichsgruppen bei der Zuchtwertschätzung für Wurfgröße beim Schwein mit einem Wiederholbarkeits-Tiermodell Der Einfluss von fixen oder zufälligen Vergleichgruppen bei der Zuchtwertschätzung für Wurfgröße beim Schwein wurde an realen Betriebsdaten und an simulierten Daten untersucht. Die Betriebsdaten stammen von vier spanischen Zuchtpopulationen, zwei Landrasse Populationen (13084 und 13619 Datensätze) und zwei Large White Populationen (2762 und 8455 Datensätze). Für die Simulation wurde eine Population (200 Sauen und 10 Eber), die auf Wurfgröße selektiert wurde, unter Berücksichtigung eines Wiederholbarkeitsmodelles und mit zufälligen Herden-Jahr-Saisonklassen simuliert. Anhand der Betriebsdaten wurde die Güte des Modells und die Vorhersagegenauigkeit des Wiederholbarkeitsmodelles mit verschiedenen Definitionen der Herden-Jahr-Saisonklassen geprüft. Mittels der REML-Methode wurden auch Varianzkomponenten für die Herden-Jahr-Saisonklassen geschätzt. Die Herden-Jahr-Saisonklassen wurden als fixer bzw. zufälliger Effekt mit unterschiedlicher Anzahl an Tieren pro Klasse im Modell berücksichtigt. Die Ergebnisse der Betriebsdaten ergaben, dass die Varianz für die Herden-Jahr-Saisonklassen nur einen kleinen Teil der Totalvarianz (von 0,01 bis 0,04) ausmachte. Mit den Herden-Jahr-Saisonklassen als fixer Effekt reduzierte sich die Restvarianz, aber die Größe der Herden-Jahr-Saisonklassen bestimmte nicht allein die Güte des Modells. Die Erhöhung der Vorhersagegenauigkeit ergab keinen signifikanten Anstieg des genetischen Fortschrittes. Abschließend bleibt festzustellen, dass Modelle mit zufälligen Herde-Jahr-Saisonklassen zu einem Bias des geschätzten genetischen Erfolges führten, wenn ein Umwelttrend vorhanden war. [source] Patterns of species richness on very small islands: the plants of the Aegean archipelagoJOURNAL OF BIOGEOGRAPHY, Issue 7 2006Maria Panitsa Abstract Aim, To investigate the species,area relationship (SAR) of plants on very small islands, to examine the effect of other factors on species richness, and to check for a possible Small Island Effect (SIE). Location, The study used data on the floral composition of 86 very small islands (all < 0.050 km2) of the Aegean archipelago (Greece). Methods, We used standard techniques for linear and nonlinear regression in order to check several models of the SAR, and stepwise multiple regression to check for the effects of factors other than area on species richness (,habitat diversity', elevation, and distance from nearest large island), as well as the performance of the Choros model. We also checked for the SAR of certain taxonomic and ecological plant groups that are of special importance in eastern Mediterranean islands, such as halophytes, therophytes, Leguminosae and Gramineae. We used one-way anova to check for differences in richness between grazed and non-grazed islands, and we explored possible effects of nesting seabirds on the islands' flora. Results, Area explained a small percentage of total species richness variance in all cases. The linearized power model of the SAR provided the best fit for the total species list and several subgroups of species, while the semi-log model provided better fits for grazed islands, grasses and therophytes. None of the nonlinear models explained more variance. The slope of the SAR was very high, mainly due to the contribution of non-grazed islands. No significant SIE could be detected. The Choros model explained more variance than all SARs, although a large amount of variance of species richness still remained unexplained. Elevation was found to be the only important factor, other than area, to influence species richness. Habitat diversity did not seem important, although there were serious methodological problems in properly defining it, especially for plants. Grazing was an important factor influencing the flora of small islands. Grazed islands were richer than non-grazed, but the response of their species richness to area was particularly low, indicating decreased floral heterogeneity among islands. We did not detect any important effects of the presence of nesting seabird colonies. Main conclusions, Species richness on small islands may behave idiosyncratically, but this does not always lead to a typical SIE. Plants of Aegean islets conform to the classical Arrhenius model of the SAR, a result mainly due to the contribution of non-grazed islands. At the same time, the factors examined explain a small portion of total variance in species richness, indicating the possible contribution of other, non-standard factors, or even of stochastic effects. The proper definition of habitat diversity as pertaining to the taxon examined in each case is a recurrent problem in such studies. Nevertheless, the combined effect of area and a proxy for environmental heterogeneity is once again superior to area alone in explaining species richness. [source] | |||||||||||||||||||||||||||||||