Brain Structural Variability due to Aging and Gender in Cognitively Healthy Elders: Results from the Sao Paulo Ageing and Health Study

BACKGROUND AND PURPOSE: Several morphometric MR imaging studies have investigated age- and sex-related cerebral volume changes in healthy human brains, most often by using samples spanning several decades of life and linear correlation methods. This study aimed to map the normal pattern of regional age-related volumetric reductions specifically in the elderly population. MATERIALS AND METHODS: One hundred thirty-two eligible individuals (67-75 years of age) were selected from a community-based sample recruited for the Sao Paulo Ageing and Health (SPAH) study, and a cross-sectional MR imaging investigation was performed concurrently with the second SPAH wave. We used voxel-based morphometry (VBM) to conduct a voxelwise search for significant linear correlations between gray matter (GM) volumes and age. In addition, region-of-interest masks were used to investigate whether the relationship between regional GM (rGM) volumes and age would be best predicted by a nonlinear model. RESULTS: VBM and region-of-interest analyses revealed selective foci of accelerated rGM loss exclusively in men, involving the temporal neocortex, prefrontal cortex, and medial temporal region. The only structure in which GM volumetric changes were best predicted by a nonlinear model was the left parahippocampal gyrus. CONCLUSIONS: The variable patterns of age-related GM loss across separate neocortical and temporolimbic regions highlight the complexity of degenerative processes that affect the healthy human brain across the life span. The detection of age-related Ill GM decrease in men supports the view that atrophy in such regions should be seen as compatible with normal aging.

Compact clinical MRI magnet design using a multilayer current density approach

In this work, a new method of optimization is successfully applied to the theoretical design of compact, actively shielded, clinical MRI magnets. The problem is formulated as a two-step process in which the desired current densities on multiple, cc-axial surface layers are first calculated by solving Fredholm equations of the first kind. Non-linear optimization methods with inequality constraints are then invoked to fit practical magnet coils to the desired current densities. The current density approach allows rapid prototyping of unusual magnet designs. The emphasis of this work is on the optimal design of short, actively-shielded MRI magnets for whole-body imaging. Details of the hybrid numerical model are presented, and the model is used to investigate compact, symmetric, and asymmetric MRI magnets. Magnet designs are presented for actively-shielded, symmetric magnets of coil length 1.0 m, which is considerably shorter than currently available designs of comparable dsv size. Novel, actively-shielded, asymmetric magnet designs are also presented in which the beginning of a 50-cm dsv is positioned just 11 cm from the end of the coil structure, allowing much improved access to the patient and reduced patient claustrophobia. Magn Reson Med 45:331540, 2001. (C) 2001 Wiley-Liss, Inc.

Capacity utilisation and profitability: A decomposition of short-run profit efficiency

The principal aim of this paper is to measure the amount by which the profit of a multi-input, multi-output firm deviates from maximum short-run profit, and then to decompose this profit gap into components that are of practical use to managers. In particular, our interest is in the measurement of the contribution of unused capacity, along with measures of technical inefficiency, and allocative inefficiency, in this profit gap. We survey existing definitions of capacity and, after discussing their shortcomings, we propose a new ray economic capacity measure that involves short-run profit maximisation, with the output mix held constant. We go on to describe how the gap between observed profit and maximum profit can be calculated and decomposed using linear programming methods. The paper concludes with an empirical illustration, involving data on 28 international airline companies. The empirical results indicate that these airline companies achieve profit levels which are on average US$815m below potential levels, and that 70% of the gap may be attributed to unused capacity. (C) 2002 Elsevier Science B.V. All rights reserved.

A model to forecast financial failure, in non financial galician SMES

We are concerned with providing more empirical evidence on forecast failure, developing forecast models, and examining the impact of events such as audit reports. A joint consideration of classic financial ratios and relevant external indicators leads us to build a basic prediction model focused in non-financial Galician SMEs. Explanatory variables are relevant financial indicators from the viewpoint of the financial logic and financial failure theory. The paper explores three mathematical models: discriminant analysis, Logit, and linear multivariate regression. We conclude that, even though they both offer high explanatory and predictive abilities, Logit and MDA models should be used and interpreted jointly.

Solid phase microextraction as a short-term sampling technique for BTEX occupational exposure

Solid phase microextraction (SPME) has been widely used for many years in various applications, such as environmental and water samples, food and fragrance analysis, or biological fluids. The aim of this study was to suggest the SPME method as an alternative to conventional techniques used in the evaluation of worker exposure to benzene, toluene, ethylbenzene, and xylene (BTEX). Polymethylsiloxane-carboxen (PDMS/CAR) showed as the most effective stationary phase material for sorbing BTEX among other materials (polyacrylate, PDMS, PDMS/divinylbenzene, Carbowax/divinylbenzene). Various experimental conditions were studied to apply SPME to BTEX quantitation in field situations. The uptake rate of the selected fiber (75 microm PDMS/CAR) was determined for each analyte at various concentrations, relative humidities, and airflow velocities from static (calm air) to dynamic (> 200 cm/s) conditions. The SPME method also was compared with the National Institute of Occupational Safety and Health method 1501. Unlike the latter, the SPME approach fulfills the new requirement for the threshold limit value-short term exposure limit (TLV-STEL) of 2.5 ppm for benzene (8 mg/m(3))

Latitude gradients in melanoma incidence and mortality in the non-Maori population of New Zealand

The variation with latitude of incidence and mortality for cutaneous malignant melanoma (CMM) in the non-Maori population of New Zealand was assessed. For those aged 20 to 74 years, the effects of age, time period, birth-cohort, gender, and region (latitude), and some interactions between them were evaluated by log-linear regression methods. Increasing age-standardized incidence and mortality rates with increasing proximity to the equator were found for men and women. These latitude gradients were greater for males than females. The relative risk of melanoma in the most southern part of New Zealand (latitude 44 degrees S) compared with the most northern region (latitude 36 degrees S) was 0.63 (95 percent confidence interval [CI] = 0.60-0.67) for incidence and 0.76 (CI = 0.68-0.86) for mortality, both genders combined. The mean percentage change in CMM rates per degree of latitude for males was greater than those reported in other published studies. Differences between men and women in melanoma risk with latitude suggest that regional sun-behavior patterns or other risk factors may contribute to the latitude gradient observed.

Biodiversidad marina en la isla Lobos de Tierra, Perú. 2011

Entre el 29 de setiembre y 3 de octubre 2011, se determinó la estructura de las comunidades, en términos de abundancia relativa, riqueza y diversidad y relación con el medio ambiente de la isla Lobos de Tierra (noreste de isla Rata, El Ñopo y La Grama). En los cálculos de diversidad específi ca se usó métodos uni y multivariados para hacer comparaciones en los lugares estudiados. En la zona mesolitoral se registró alta riqueza específi ca asociada a comunidades de fondos duros destacando el noreste de isla Rata con 58 especies. El grupo dominante fue moluscos en todas las zonas de estudio, sobresaliendo Tegula corvus y Acanthopleura echinata con mayores niveles de abundancia (296 a 412 ind.m-2). El índice de diversidad (H’) promedio por estación mostró valores >1,5 bits/ind en todas las zonas, con valores de dominancia y equitatividad <1,0. En el submareal, la riqueza fue de 124 especies. Los crustáceos y poliquetos tuvieron la mayor riqueza de especies y densidad. Los principales representantes fueron Gammarus sp. (26.607 ind.m-2), Spionidae (2.227 ind.m-2) y Diopatra rhizoicola (2.073 ind.m-2). El índice de diversidad promedio fue 2,2 bits, valor considerado de alta diversidad. La fauna íctica submareal estuvo conformada por 16 especies, destacando los géneros Auchenionchus y Labrisomus y en el intermareal se registraron 7 especies destacando Tomicodon chilensis. Se detectaron 24 especies de macroalgas: Rhodophyta (16 especies), Chlorophyta (5 especies) y Phaeophyta (3 especies), predominó Caulerpa fi liformis (submareal) y Gymnogongrus furcellatus (intermareal).

Correlation between species composition and soil properties in the pastures of Plana de Vic (Catalonia, Spain)

The correlation between the species composition of pasture communities and soil properties in Plana de Vic has been studied using two multivariate methods, Correspondence Analysis (CA) for the vegetation data and Principal Component Analysis (PCA) for the soil data. To analyse the pastures, we took 144 vegetation relevés (comprising 201 species) that have been classified into 10 phytocoenological communities elsewhere. Most of these communities are almost entirely built up by perennials, ranging from xerophilous, clearly Mediterranean, to mesophilous, related to medium-European pastures, but a few occurring in shallow soils are dominated by therophytes. As for the soil properties, we analysed texture, pH, depth, bulk density, organic matter, C/N ratio and the carbonates content of 25 samples, correspondingto representative relevés of the communities studied.

Lossless compression of hyperspectral images

Technological progress has made a huge amount of data available at increasing spatial and spectral resolutions. Therefore, the compression of hyperspectral data is an area of active research. In somefields, the original quality of a hyperspectral image cannot be compromised andin these cases, lossless compression is mandatory. The main goal of this thesisis to provide improved methods for the lossless compression of hyperspectral images. Both prediction- and transform-based methods are studied. Two kinds of prediction based methods are being studied. In the first method the spectra of a hyperspectral image are first clustered and and an optimized linear predictor is calculated for each cluster. In the second prediction method linear prediction coefficients are not fixed but are recalculated for each pixel. A parallel implementation of the above-mentioned linear prediction method is also presented. Also,two transform-based methods are being presented. Vector Quantization (VQ) was used together with a new coding of the residual image. In addition we have developed a new back end for a compression method utilizing Principal Component Analysis (PCA) and Integer Wavelet Transform (IWT). The performance of the compressionmethods are compared to that of other compression methods. The results show that the proposed linear prediction methods outperform the previous methods. In addition, a novel fast exact nearest-neighbor search method is developed. The search method is used to speed up the Linde-Buzo-Gray (LBG) clustering method.

Identifying the preferred subset of enzymatic profiles in nonlinear kinetic metabolic models via multiobjective global optimization and pareto filters

Optimization models in metabolic engineering and systems biology focus typically on optimizing a unique criterion, usually the synthesis rate of a metabolite of interest or the rate of growth. Connectivity and non-linear regulatory effects, however, make it necessary to consider multiple objectives in order to identify useful strategies that balance out different metabolic issues. This is a fundamental aspect, as optimization of maximum yield in a given condition may involve unrealistic values in other key processes. Due to the difficulties associated with detailed non-linear models, analysis using stoichiometric descriptions and linear optimization methods have become rather popular in systems biology. However, despite being useful, these approaches fail in capturing the intrinsic nonlinear nature of the underlying metabolic systems and the regulatory signals involved. Targeting more complex biological systems requires the application of global optimization methods to non-linear representations. In this work we address the multi-objective global optimization of metabolic networks that are described by a special class of models based on the power-law formalism: the generalized mass action (GMA) representation. Our goal is to develop global optimization methods capable of efficiently dealing with several biological criteria simultaneously. In order to overcome the numerical difficulties of dealing with multiple criteria in the optimization, we propose a heuristic approach based on the epsilon constraint method that reduces the computational burden of generating a set of Pareto optimal alternatives, each achieving a unique combination of objectives values. To facilitate the post-optimal analysis of these solutions and narrow down their number prior to being tested in the laboratory, we explore the use of Pareto filters that identify the preferred subset of enzymatic profiles. We demonstrate the usefulness of our approach by means of a case study that optimizes the ethanol production in the fermentation of Saccharomyces cerevisiae.

Discovery of a 29-gene panel in peripheral blood mononuclear cells for the detection of colorectal cancer and adenomas using high throughput real-time PCR.

Colorectal cancer (CRC) is the second leading cause of cancer-related death in developed countries. Early detection of CRC leads to decreased CRC mortality. A blood-based CRC screening test is highly desirable due to limited invasiveness and high acceptance rate among patients compared to currently used fecal occult blood testing and colonoscopy. Here we describe the discovery and validation of a 29-gene panel in peripheral blood mononuclear cells (PBMC) for the detection of CRC and adenomatous polyps (AP). Blood samples were prospectively collected from a multicenter, case-control clinical study. First, we profiled 93 samples with 667 candidate and 3 reference genes by high throughput real-time PCR (OpenArray system). After analysis, 160 genes were retained and tested again on 51 additional samples. Low expressed and unstable genes were discarded resulting in a final dataset of 144 samples profiled with 140 genes. To define which genes, alone or in combinations had the highest potential to discriminate AP and/or CRC from controls, data were analyzed by a combination of univariate and multivariate methods. A list of 29 potentially discriminant genes was compiled and evaluated for its predictive accuracy by penalized logistic regression and bootstrap. This method discriminated AP >1cm and CRC from controls with a sensitivity of 59% and 75%, respectively, with 91% specificity. The behavior of the 29-gene panel was validated with a LightCycler 480 real-time PCR platform, commonly adopted by clinical laboratories. In this work we identified a 29-gene panel expressed in PBMC that can be used for developing a novel minimally-invasive test for accurate detection of AP and CRC using a standard real-time PCR platform.

Sellun kuivauskoneen ajettavuusongelman monimuuttujainen tarkastelu

Tässä työssä on tutkittu sellun kuivauskoneella koivusellua kuivattaessa esiintyvää ajettavuusongelmaa. Tähän ongelmaan on etsitty ratkaisua monimuuttujamenetelmien avulla. Työn kirjallisuusosassa on lyhyesti käyty läpi sellun kuivauskoneiden historia lieriöviirakoneista nykyaikaisiin kaksoisviirasovelluksiin. Lisäksi kirjallisuusosassa on käsitelty tässä työssä käytettyjen monimuuttujamenetelmien perusteet ja käyty esimerkin omaisesti läpi joitakin kemometrian sovelluksia puunjalostusteollisuudessa. Työn kokeellisessa osassa on haettu tiedonkeruujärjestelmästä massan ominaisuuksista ja kuivauskoneen ajoparametreistä koostuvaa dataa vuoden 1999 ajalta. Tästä datasta on tehty PCA-mallit vuoden 1999 jokaisen kuukauden datasta ja diskriminoiva PLS-malli ajettavuuden kannalta hyvästä ja huonosta jaksosta koostuvasta datasta. Kuivauskoneelta on koottu dataa myös ottamalla kiertovesi- ja selluarkkinäytteitä. Kiertovesinäytteiden analyysituloksista on tehty PCA-mallit ja lisäksi analyysitulokset on tarkasteltu yksimuuttujaisesti. Selluarkkinäytteistä on määritetty UV-spektrit ja niistä on tehty PCA-mallit, jotta spektreistä saataisiin mahdollisimman paljon informaatiota. Työssä on havaittu yhdeksi selitykseksi ajettavuusongelmalle kuivauskoneen kiertovesien likaantuminen. Kiertovesiä ja massarainan pintakemiaa tulisi kuitenkin tutkia laajemmassa mittakaavassa kuin tämän työn puitteissa on ollut mahdollista tutkia.

Sampling in chemical analysis

The uncertainty of any analytical determination depends on analysis and sampling. Uncertainty arising from sampling is usually not controlled and methods for its evaluation are still little known. Pierre Gy’s sampling theory is currently the most complete theory about samplingwhich also takes the design of the sampling equipment into account. Guides dealing with the practical issues of sampling also exist, published by international organizations such as EURACHEM, IUPAC (International Union of Pure and Applied Chemistry) and ISO (International Organization for Standardization). In this work Gy’s sampling theory was applied to several cases, including the analysis of chromite concentration estimated on SEM (Scanning Electron Microscope) images and estimation of the total uncertainty of a drug dissolution procedure. The results clearly show that Gy’s sampling theory can be utilized in both of the above-mentioned cases and that the uncertainties achieved are reliable. Variographic experiments introduced in Gy’s sampling theory are beneficially applied in analyzing the uncertainty of auto-correlated data sets such as industrial process data and environmental discharges. The periodic behaviour of these kinds of processes can be observed by variographic analysis as well as with fast Fourier transformation and auto-correlation functions. With variographic analysis, the uncertainties are estimated as a function of the sampling interval. This is advantageous when environmental data or process data are analyzed as it can be easily estimated how the sampling interval is affecting the overall uncertainty. If the sampling frequency is too high, unnecessary resources will be used. On the other hand, if a frequency is too low, the uncertainty of the determination may be unacceptably high. Variographic methods can also be utilized to estimate the uncertainty of spectral data produced by modern instruments. Since spectral data are multivariate, methods such as Principal Component Analysis (PCA) are needed when the data are analyzed. Optimization of a sampling plan increases the reliability of the analytical process which might at the end have beneficial effects on the economics of chemical analysis,

Implementação de um método robusto para o controle fiscal de umidade em queijo minas artesanal. Abordagem metrológica multivariada

This study developed and validated a method for moisture determination in artisanal Minas cheese, using near-infrared spectroscopy and partial-least-squares. The model robustness was assured by broad sample diversity, real conditions of routine analysis, variable selection, outlier detection and analytical validation. The model was built from 28.5-55.5% w/w, with a root-mean-square-error-of-prediction of 1.6%. After its adoption, the method stability was confirmed over a period of two years through the development of a control chart. Besides this specific method, the present study sought to provide an example multivariate metrological methodology with potential for application in several areas, including new aspects, such as more stringent evaluation of the linearity of multivariate methods.

Uusperheen voimavarat ja lasten hyvinvointi

The resources of the step family and the children’s well-being The present study investigates children's well-being in stepfamilies and fac¬tors, both external and internal, that are related to the children's well-being. Of the external factors, the study focuses on factors related to the structure of the stepfamily, parents' education, socio-economic status and factors related to work, livelihood and living conditions. The internal resources include the general functioning of the family, parenthood and parenting, family support networks and issues that the stepfamilies themselves consider important. Another important resource in a stepfamily is a functioning network of human relationships, which in the present study is approached from the maternal viewpoint. Changing family relations are considered a potential threat to the children's well-being. Therefore, in addition to looking into the stepfamily's resources, the other important goal of the study is to explore other factors potentially related to the well-being of children living in stepfamilies. In view of the stepfamily's resources, it is important to explore how the functioning of the relationships network is linked with the child's well-being. The study employs survey and interview data. The survey data (n=2236) are part of national survey data on the well-being of families and children and factors impacting them which were gathered as part of ”Origins of Exclusion in Early Childhood”, a research project carried out in 2002. The data consists of 667 stepfamilies. The interview data consists of interviews with 24 parents in stepfamilies. In the study, the analyses of survey and interview data are combined. Both descriptive statistical analyses and multivariate methods are employed. Content analysis is employed in the analysis of the interview data. The results indicate that the stepfamilies’ resources in general but their external resources in particular differed from those of the nuclear and single-parent families. The level of education and the socio-economic status of the stepfamily parents were somewhat lower than those of the nuclear family parents. The differences in relation to single-parent families were primarily related to the better economic status of the stepfamilies. The analysis of internal resources showed relatively minor differences: the stepfamilies assessed themselves a somewhat better general functioning of the family than did the nuclear families. Parenting issues caused more disagreement in stepfamilies than in nuclear families. The analysis of the functioning of the human relations in stepfamilies showed that the stepfamily mothers experienced the external relationships of the family (e.g., between the child and the absent father) as significantly more problematic than the relationships within the stepfamily. Living in a stepfamily thus challenges the functioning of the relationship between the child and the absent father. As a result of the analysis of the relationships networks in the stepfamilies, three groups were formed. One group had the nuclear family as an ideal goal, another valued an extended family composed of a variety of relationships, and the third one appreciated a strong intimate relationship between the parents. In the present study, the most common group was the multi-relationship, extended type of stepfamily. In conclusion, living in a stepfamily does not seem to pose a risk to the child’s well-being, but it may influence the family’s resources and thus have an indirect effect on the child’s well-being. In view of the resources of the stepfamily, the child’s well-being was best supported by a functioning network of human relationships in the stepfamily: there was a distinct connection with the children’s problems and the non-functioning of the relationships network. According to the mothers, the internal relationships in the stepfamily seemed to be more important than the external relationships of the family. A child’s functioning relationship with the absent father can be viewed as a positive resource, supporting the child’s well-being in the stepfamily.