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Multivariate Methods (multivariate + methods)
Selected AbstractsMultivariate methods in pharmaceutical applicationsJOURNAL OF CHEMOMETRICS, Issue 3 2002Jon Gabrielsson Abstract This review covers material published within the field of pharmacy in the last five years. Articles concerning experimental design, optimization and applications of multivariate techniques have been published, from factorial designs to multivariate data analysis, and the combination of the two in multivariate design. The number of publications on this topic testifies to the good results obtained in the studies. Much of the published material highlights the usefulness of experimental design, with many articles dealing with optimization, where much effort is spent on getting useful results. Examples of multivariate data analysis are comparatively few, but these methods are gaining in use. The employment of multivariate techniques in different applications has been reviewed. The examples in this review represent just a few of the possible applications with different aims within pharmaceutical applications. A number of companies are using experimental design as a standard tool in preformulation and in combination with response surface modeling. The properties of e.g. a tablet can be optimized to fulfill a well-specified aim such as a specific release profile, hardness, disintegration time etc. However, none of the companies apply multivariate methods in all steps of the drug development process. As this is still very much a growing field, it is only a question of time before experimental design, optimization and multivariate data analysis are implemented throughout the entire formulation process, from performulation to multivariate process control. Copyright ©,2002 John Wiley & Sons, Ltd. [source] Seed production in fens and fen meadows along a disturbance gradientAPPLIED VEGETATION SCIENCE, Issue 3 2009A. Klimkowska Abstract Question: The seed production in several wetland communities across Europe was investigated and differences in seed output in relation to disturbance intensity were tested. The relationship between the vegetation composition and the seed production profile was examined and the results are discussed in relation to restoration. Location: Poland, Germany and the Netherlands. Methods: The seed production in various plant communities was estimated, based on field counts. In addition, records from available databases were used for missing data. Multivariate methods were used to characterize the vegetation and seed production. Communities were grouped according to level of disturbance and tested for differences in seed production. Similarity between vegetation composition and seed profile was examined using the Sřrensen index and Spearman correlation coefficient. Results: It was found that the seed production of the studied communities is large, variable and in general increasing with disturbance intensity. The estimated median seed production was ca. 24 × 103 seeds m,2 in fens, 167 × 103 in fen meadows and 556 × 103 seeds m,2 in degraded meadows. The majority of seeds was produced by just a few species. The similarity between the vegetation composition and the seed production profile was low (similarity 52%, correlation coefficient 0.42, P<0.05) and slightly increased with disturbance intensity. Conclusions: Increased disturbance enhances seed production at the community level. The composition of the vegetation is a poor predictor of the seed output. It is estimated that the number of seeds transferred with hay is much lower than the seed production in fens and fen meadows. [source] What Is It About Antenatal Continuity of Caregiver That Matters to Women?BIRTH, Issue 4 2005DipAppSc, Mary-Ann Davey RN, PGDipSoc ABSTRACT:,Background:Continuity of care and of caregiver are thought to be important influences on women's experience of maternity care. The aim of this study was to analyze the influence of two aspects of continuity of caregiver in the antenatal period on women's overall rating of antenatal care: the extent to which women saw the same caregiver throughout pregnancy, and the extent to which women thought that their caregiver knew and remembered them and their progress from one visit to the next. Methods:An anonymous, population-based postal survey was conducted of 1,616 women who gave birth in a 14-day period in September 1999 in Victoria, Australia. Multivariate methods were used to analyze the data. Results:Most women saw the same caregiver at each antenatal visit (77%), and thought that caregivers got to know them (65%). This finding varied widely among different models of maternity care. Before adjustment, women were much more likely to describe their antenatal care as very good if they always or mostly thought the caregiver got to know them (OR 5.86, 95% CI 4.3, 7.9), and if they always or mostly saw the same caregiver at each visit (OR 2.91, 95% CI 2.0, 4.3). Adjusting for sociodemographic factors, parity, risk status of the pregnancy, and several specific aspects of antenatal care revealed that seeing the same caregiver was no longer associated with rating of care (adjusted OR 0.65, 95% CI 0.3,1.2), but women who thought that caregivers got to know and remember them remained much more likely to rate their care highly (adjusted OR 3.18, 95% CI 2.0, 5.1). Conclusions:These findings suggest that changing the delivery of antenatal care to increase women's chances of seeing the same caregiver at each visit is not by itself likely to improve the overall experience of care, but time spent personalizing each encounter in antenatal care would be well received. The analysis also confirmed the importance that women place on quality interactions with their doctors and midwives. (BIRTH 32:4 December 2005) [source] The role of fruit traits of bird-dispersed plants in invasiveness and weed risk assessmentDIVERSITY AND DISTRIBUTIONS, Issue 6 2009Carl R. Gosper Abstract Aim, Birds play a major role in the dispersal of seeds of many fleshy-fruited invasive plants. The fruits that birds choose to consume are influenced by fruit traits. However, little is known of how the traits of invasive plant fruits contribute to invasiveness or to their use by frugivores. We aim to gain a greater understanding of these relationships to improve invasive plant management. Location, South-east Queensland, Australia. Methods, We measure a variety of fruit morphology, pulp nutrient and phenology traits of a suite of bird-dispersed alien plants. Frugivore richness of these aliens was derived from the literature. Using regressions and multivariate methods, we investigate relationships between fruit traits, frugivore richness and invasiveness. Results, Plant invasiveness was negatively correlated to fruit size, and all highly invasive species had quite similar fruit morphology [smaller fruits, seeds of intermediate size and few (< 10) seeds per fruit]. Lower pulp water was the only pulp nutrient trait associated with invasiveness. There were strong positive relationships between the diversity of bird frugivores and plant invasiveness, and in the diversity of bird frugivores in the study region and another part of the plants' alien range. Main conclusions, Our results suggest that weed risk assessments (WRA) and predictions of invasive success for bird-dispersed plants can be improved. Scoring criteria for WRA regarding fruit size would need to be system-specific, depending on the fruit-processing capabilities of local frugivores. Frugivore richness could be quantified in the plant's natural range, its invasive range elsewhere, or predictions made based on functionally similar fruits. [source] A practical protocol to assess impacts of unplanned disturbance: a case study in Tuggerah Lakes Estuary, NSWECOLOGICAL MANAGEMENT & RESTORATION, Issue 2003A. J. Underwood Summary Environmental managers are often confronted with unplanned or accidental disturbances that may lead to environmental impacts. Procedures for detecting or measuring the size of such impacts are complicated because of the lack of data available before the disturbance and because of the intrinsic variability of most natural measures. Here, a protocol for detecting impacts is illustrated for single-measure variables (numbers of individual species) and multivariate measures (relative abundances of invertebrates in assemblages). The present paper describes a case concerning drainage of acidified water into an estuary due to construction of a drainage channel in an area of wetland for which there had been no prior investigations (i.e. no ,before' data). The spatial extent of any impact was also unknowable. Sampling was, therefore, designed to allow for impacts of only a few tens of metres (using control sites 50 m from the mouth of the channel) and impacts covering much larger areas (500 m and 1 km from the mouth of the channel). Invertebrates in the mud around the channel and in control sites were sampled in replicated cores and the amount of seagrass in each core was weighed. Average abundances of invertebrate animals and weights of seagrass were compared, as was variation among samples in potentially impacted and control sites (using univariate analyses of variance). Sets of species were compared using multivariate methods to test the hypothesis that there was an impact at one of the scales examined. In fact, there was no evidence for any sort of impact on the fauna or seagrasses; the disturbance was a short-term pulse without any obvious or sustained ecological response. One consequence of the study was that the local council was able to demonstrate no impact requiring remediation and no penalties were imposed for the unapproved construction of the channel. The implications of this type of study after an environmental disturbance are discussed. The present study identifies the need for clear definition of relevant hypotheses, coupled with rigorous planning of sampling and analyses, so that reliable answers are available to regulators and managers. [source] Robust principal component analysis and outlier detection with ecological dataENVIRONMETRICS, Issue 2 2004Donald A. Jackson Abstract Ecological studies frequently involve large numbers of variables and observations, and these are often subject to various errors. If some data are not representative of the study population, they tend to bias the interpretation and conclusion of an ecological study. Because of the multivariate nature of ecological data, it is very difficult to identify atypical observations using approaches such as univariate or bivariate plots. This difficulty calls for the application of robust statistical methods in identifying atypical observations. Our study provides a comparison of a standard method, based on the Mahalanobis distance, used in multivariate approaches to a robust method based on the minimum volume ellipsoid as a means of determining whether data sets contain outliers or not. We evaluate both methods using simulations varying conditions of the data, and show that the minimum volume ellipsoid approach is superior in detecting outliers where present. We show that, as the sample size parameter, h, used in the robust approach increases in value, there is a decrease in the accuracy and precision of the associated estimate of the number of outliers present, in particular as the number of outliers increases. Conversely, where no outliers are present, large values for the parameter provide the most accurate results. In addition to the simulation results, we demonstrate the use of the robust principal component analysis with a data set of lake-water chemistry variables to illustrate the additional insight available. We suggest that ecologists consider that their data may contain atypical points. Following checks associated with normality, bivariate linearity and other traditional aspects, we advocate that ecologists examine their data sets using robust multivariate methods. Points identified as being atypical should be carefully evaluated based on background information to determine their suitability for inclusion in further multivariate analyses and whether additional factors explain their unusual characteristics. Copyright © 2004 John Wiley & Sons, Ltd. [source] Reflections and findings on the critical citizen: Civic education , What for?EUROPEAN JOURNAL OF POLITICAL RESEARCH, Issue 1 2008BRIGITTE GEISSEL This article focuses on the question of whether satisfied and supportive citizens or critical citizens have attitudes that promote democracy. The discussion of this question is based on empirical results from a survey of German citizens (N = 2,000), applying bivariate and multivariate methods. Political criticism is measured by indicators of dissatisfaction, attentiveness and system preference; five types of citizens are constructed: satisfied-attentive, satisfied-inattentive, dissatisfied-attentive, dissatisfied-inattentive citizens with a preference for a democratic system, and one type preferring nondemocratic systems. The article examines which of these types are more consistent with the ,ideal citizen', defined as a citizen who participates, is well-informed, identifies with democracy and politics, has good internal efficacy and is willing to defend democracy. The data show that attentive citizens are more likely to promote democracy than inattentive ones. Attentive citizens are politically more knowledgeable, identify more strongly with the democratic system, feel more politically competent and are more willing to defend democracy. Political satisfaction or dissatisfaction has less of an influence on these dispositions. [source] Does urbanization decrease diversity in ground beetle (Carabidae) assemblages?GLOBAL ECOLOGY, Issue 1 2010Tibor Magura ABSTRACT Aim, We wanted to test whether urbanization has similar effects on biodiversity in different locations, comparing the responses of ground beetle (Coleoptera, Carabidae) assemblages with an urbanization gradient. We also wanted to see if urbanization had a homogenizing effect on ground beetle assemblages. Locations, Nine forested temperate locations in Europe, Canada and Japan. Methods, Published results of the Globenet Project were used. At all locations, three stages were identified: (1) a forested (rural) area, (2) a suburban area where the original forest was fragmented and isolated, and (3) remnants of the original forest in urban parks. These habitats formed an urbanization series. Study arrangements (number and operation of traps) and methods (pitfall trapping) were identical, conforming to the Globenet protocol. Assemblage composition and diversity patterns were evaluated. Diversity relationships were analysed by the Rényi diversity ordering method considering all ground beetles and , separately , the forest specialist species. Taxonomic homogenization was examined by multivariate methods using assemblage similarities. Results, Overall biodiversity (compared by species richness and diversity ordering) showed inconsistent trends by either urbanization intensity or by geographic position. However, when only forest species were compared, diversity was higher in the original rural (forested) areas than in urban forest fragments. Within-country similarities of carabid assemblages were always higher than within-urbanization stage similarities. Main conclusions, Urbanization does not appear to cause a decrease in ground beetle diversity per se. Forest species decline as urbanization intensifies but this trend is masked by an influx of non-forest species. The rural faunas were more similar to the urban ones within the same location than similar urbanization stages were to each other, indicating that urbanization did not homogenize the taxonomic composition of ground beetle faunas across the studied locations. [source] The Appreciative System of Urban ICT Policies: An Analysis of Perceptions of Urban Policy MakersGROWTH AND CHANGE, Issue 2 2004GALIT COHEN-BLANKSHTAIN ABSTRACT Information and Communication Technology (ICT) has become an important tool to promote a variety of public goals and policies. In the past years much attention has been given to the expected social benefits from deploying ICTs in different urban fields (transportation, education, public participation in planning, etc.) and to its potential to mitigate various current or emerging urban problems. The growing importance of ICTs in daily life, business activities, and governance prompts the need to consider ICTs more explicitly in urban policies. Alongside the expectation that the private sector will play a major role in the ICT field, the expected benefits from ICTs also encourage urban authorities to formulate proper public ICT policies. Against this background, various intriguing research questions arise. What are the urban policy-makers' expectations about ICTs? And how do they assess the future implications of ICTs for their city? A thorough analysis of these questions will provide a better understanding of the extent to which urban authorities are willing to invest in and to adopt a dedicated ICT policy. This study is focusing on the way urban decision-makers perceive the opportunities of ICT policy. After a sketch of recent development and policy issues, a conceptual model is developed to map out the driving forces of urban ICT policies in cities in Europe. Next, by highlighting the importance of understanding the decision-maker's "black box," three crucial variables are identified within this box. In the remaining part of the paper these three variables will be operationalized by using a large survey comprising more than 200 European cities. By means of statistical multivariate methods (i.e., factor and cluster analysis), the decision-makers were able to be characterized according to the way they perceive their city (the concept of "imaginable city"), their opinion about ICT, and the way they assess the relevance of ICT policies to their city. Next, a solid explanatory framework will be offered by using a log-linear logit analysis to test the relationships between these three aspects. [source] Population density of migratory and resident brown trout (Salmo trutta) in relation to altitude: evidence for a migration costJOURNAL OF ANIMAL ECOLOGY, Issue 1 2001T. Bohlin Abstract 1For anadromous salmonids, the positive relations found in previous studies between adult size/age and stream characteristics suggest that the migration cost increases with stream length, water discharge and the altitude of the spawning site. In this study we hypothesized that the altitude of the spawning site is positively related to the migration effort. 2Life-history theory predicts (i) that the equlibrium egg density, which is a fitness measure, thereby will decline more rapidly with altitude in migratory than in stream-resident populations, and therefore (ii) that residency will be selected for at large enough altitudes. 3As the density of juveniles is a function of egg density, we hypothesized that (a) altitude has stronger effect on juvenile density in migratory than in resident populations, and (b) juvenile density is larger in migratory than in resident populations. 4We tested (a) and (b) using multivariate methods for electrofishing data from 164 sea-migratory and 167 stream-resident populations of brown trout Salmotrutta L. in Sweden. Both predictions were supported; the juvenile density was larger and declined more rapidly with altitude in migratory than in resident populations. 5The results are further evidence that migration costs reduce fitness in anadromous salmonids. [source] Spontaneous succession in limestone quarries as an effective restoration tool for endangered arthropods and plantsJOURNAL OF APPLIED ECOLOGY, Issue 1 2010Robert Tropek Summary 1. The view of post-mining sites is rapidly changing among ecologists and conservationists, as sensitive restoration using spontaneous succession may turn such sites into biodiversity refuges in human-exploited regions. However, technical reclamation, consisting of covering the sites by topsoil, sowing fast-growing herb mixtures and planting trees, is still commonly adopted. Until now, no multi-taxa study has compared technically reclaimed sites and sites left with spontaneous succession. 2. We sampled communities of vascular plants and 10 arthropod groups in technically reclaimed and spontaneously restored plots in limestone quarries in the Bohemian Karst, Czech Republic. For comparison, we used paired t -tests and multivariate methods, emphasizing red-list status and habitat specialization of individual species. 3. We recorded 692 species of target taxa, with a high proportion of red-listed (10%) and xeric specialist (14%) species, corroborating the great conservation potential of the quarries. 4. Spontaneously restored post-mining sites did not differ in species richness from the technical reclaimed sites but they supported more rare species. The microhabitat cover of leaf litter, herbs and moss, were all directly influenced by the addition of topsoil during reclamation. 5.Synthesis and applications. Our results show that the high conservation potential of limestone quarries could be realized by allowing succession to progress spontaneously with minimal intervention. Given the threat to semi-natural sparsely vegetated habitats in many regions, active restoration measures at post-mining sites should be limited to maintenance of early successional stages, instead of acceleration of succession. [source] New and old trends in chemometrics.JOURNAL OF CHEMOMETRICS, Issue 8-10 2002How to deal with the increasing data volumes in R&D&P (research, development, process modeling, production), with examples from pharmaceutical research Abstract Chemometrics was started around 30 years ago to cope with and utilize the rapidly increasing volumes of data produced in chemical laboratories. The methods of early chemometrics were mainly focused on the analysis of data, but slowly we came to realize that it is equally important to make the data contain reliable information, and methods for design of experiments (DOE) were added to the chemometrics toolbox. This toolbox is now fairly adequate for solving most R&D problems of today in both academia and industry, as will be illustrated with a few examples. However, with the further increase in the size of our data sets, we start to see inadequacies in our multivariate methods, both in their efficiency and interpretability. Drift and non-linearities occur with time or in other directions in data space, and models with masses of coefficients become increasingly difficult to interpret and use. Starting from a few examples of some very complicated problems confronting chemical researchers today, possible extensions and generalizations of the existing chemometrics methods, as well as more appropriate preprocessing of the data before the analysis, will be discussed. Criteria such as scalability of methods to increasing size of problems and data, increasing sophistication in the handling of noise and non-linearities, interpretability of results, and relative simplicity of use will be held as important. The discussion will be made from a perspective of the evolution of the scientific methodology as driven by new technology, e.g. computers, and constrained by the limitations of the human brain, i.e. our ability to understand and interpret scientific and data analytical results. Quilt-PCA and Quilt-PLS presented here address and offer a possible solution to these problems. Copyright © 2002 John Wiley & Sons, Ltd. [source] Multivariate methods in pharmaceutical applicationsJOURNAL OF CHEMOMETRICS, Issue 3 2002Jon Gabrielsson Abstract This review covers material published within the field of pharmacy in the last five years. Articles concerning experimental design, optimization and applications of multivariate techniques have been published, from factorial designs to multivariate data analysis, and the combination of the two in multivariate design. The number of publications on this topic testifies to the good results obtained in the studies. Much of the published material highlights the usefulness of experimental design, with many articles dealing with optimization, where much effort is spent on getting useful results. Examples of multivariate data analysis are comparatively few, but these methods are gaining in use. The employment of multivariate techniques in different applications has been reviewed. The examples in this review represent just a few of the possible applications with different aims within pharmaceutical applications. A number of companies are using experimental design as a standard tool in preformulation and in combination with response surface modeling. The properties of e.g. a tablet can be optimized to fulfill a well-specified aim such as a specific release profile, hardness, disintegration time etc. However, none of the companies apply multivariate methods in all steps of the drug development process. As this is still very much a growing field, it is only a question of time before experimental design, optimization and multivariate data analysis are implemented throughout the entire formulation process, from performulation to multivariate process control. Copyright ©,2002 John Wiley & Sons, Ltd. [source] Cardiometabolic Syndrome and Its Association With Education, Smoking, Diet, Physical Activity, and Social Support: Findings From the Pennsylvania 2007 BRFSS SurveyJOURNAL OF CLINICAL HYPERTENSION, Issue 7 2010Longjian Liu MD J Clin Hypertens (Greenwich).2010;12:556,564. © 2010 Wiley Periodicals, Inc. The authors aimed to examine the prevalence of cardiometabolic syndrome (CMS) and its association with education, smoking, diet, physical activity, and social support among white, black, and Hispanic adults using data from the 2007 Pennsylvania Behavior Risk Factor Surveillance System (BRFSS) survey, the largest population-based survey in the state. The authors examined associations between CMS and associated factors cross-sectionally using univariate and multivariate methods. The study included a representative sample of 12,629 noninstitutionalized Pennsylvanians aged ,18. Components of CMS included obesity, hypercholesterolemia, angina (as a surrogate for decreased high-density lipoprotein), prehypertension or hypertension, and prediabetes or diabetes. CMS was identified as the presence of ,3 CMS components. The results show that the prevalence of CMS was 20.48% in blacks, followed by Hispanics (19.14%) and whites (12.26%), (P<.01). Multivariate logistic regression analyses indicated that physical inactivity, lower educational levels, smoking, daily consumption of vegetables and/or fruits <3 servings, and lack of social support were significantly associated with the odds of having CMS. In conclusion, black and Hispanic adults have a significantly higher prevalence of CMS than whites. The significant association between CMS and risk factors provides new insights in the direction of health promotion to prevent and control CMS in those who are at high risk. [source] Electronic Nose Technology in Quality Assessment: Predicting Volatile Composition of Danish Blue Cheese During RipeningJOURNAL OF FOOD SCIENCE, Issue 6 2005Jeorgos Trihaas ABSTRACT This work describes for the 1st time the use of an electronic nose (e-nose) for the determination of changes of blue cheeses flavor during maturation. Headspace analysis of Danish blue cheeses was made for 2 dairy units of the same producer. An e-nose registered changes in cheeses flavor 5, 8, 12, and 20 wk after brining. Volatiles were collected from the headspace and analyzed by gas chromatography-mass spectrometry (GC-MS). Features from the chemical sensors of the e-nose were used to model the volatile changes by multivariate methods. Differences registered during ripening of the cheeses as well as between producing units are described and discussed for both methods. Cheeses from different units showed significant differences in their e-nose flavor profiles at early ripening stages but with ripening became more and more alike. Prediction of the concentration of 25 identified aroma compounds by e-nose features was possible by partial least square regression (PLS-R). It was not possible to create a reliable predictive model for both units because cheeses from 1 unit were contaminated by Geotrichum candidum, leading to unstable ripening patterns. Correction of the e-nose features by multiple scatter correction (MSC) and mean normalization (MN) of the integrated GC areas made correlation of the volatile concentration to the e-nose signal features possible. Prediction models were created, evaluated, and used to reconstruct the headspace of unknown cheese samples by e-nose measurements. Classification of predicted volatile compositions of unknown samples by their ripening stage was successful at a 78% and 54% overall correct classification for dairy units 1 and 2, respectively. Compared with GC-MS, the application of the rapid and less demanding e-nose seems an attractive alternative for this type of investigation. [source] Monitoring of batch processes through state-space modelsAICHE JOURNAL, Issue 6 2004Jay H. Lee Abstract The development of a state-space framework for monitoring batch processes that can complement the existing multivariate monitoring methods is presented. A subspace identification method will be used to extract the dynamic and batch-to-batch trends of the process and quality variables from historical operation data in the form of a "lifted" state-space stochastic model. A simple monitoring procedure can be formed around the state and residuals of the model using appropriate scalar statistical metrics. The proposed state-space monitoring framework complements the existing multivariate methods like the multi-way PCA method, in that it allows us to build a more complete statistical representation of batch operations and use it with incoming measurements for early detection of not only large, abrupt changes but also subtle changes. In particular, it is shown to be effective for detecting changes in the batch-to-batch correlation structure, slow drifts, and mean shifts. Such information can be useful in adapting the prediction model for batch-to-batch control. The framework allows for the use of on-line process measurements and/or off-line quality measurements. When both types of measurements are used in model building, one can also use the model to predict the quality variables based on incoming on-line measurements and quality measurements of previous batches. © 2004 American Institute of Chemical Engineers AIChE J, 50: 1198,1210, 2004 [source] Multivariate modeling of encapsulation and release of an ionizable drug from polymer microspheresJOURNAL OF PHARMACEUTICAL SCIENCES, Issue 12 2009Hagar I. Labouta Abstract In the formulation of polymer microspheres (MSs) loaded with verapamil hydrochloride (VRP), a low molecular weight ionizable drug, by W/O/W emulsification, the pH of the external aqueous phase proved to be a primary determinant of both IE and drug release behavior. Increasing the pH of the external aqueous phase enhanced IE (,100% at pH 8.4). This was associated with a considerable increase in initial release rate at pH 1.2. Two multivariate methods, factorial analysis (FA) and artificial neural network (ANN), were used to investigate the impact of the combined effect of the external phase pH and other parameters (polymer concentration and initial drug load) on MS characteristics; IE, initial drug release, MS size and yield. FA indicated that the external aqueous phase pH affected all responses, with a particularly strong correlation with IE in addition to a combined synergistic effect with polymer concentration on MS size. ANN showed better internal and external predictive ability of responses compared to FA. The ANN model developed in the study can be successfully used for multivariate modeling of the encapsulation and release of VRP and similar drug salts from hydrophobic polymer MSs prepared by multiple emulsification in addition to other MS characteristics. © 2009 Wiley-Liss, Inc. and the American Pharmacists Association J Pharm Sci 98:4603,4615, 2009 [source] Determination of amorphous content in the pharmaceutical process environmentJOURNAL OF PHARMACY AND PHARMACOLOGY: AN INTERNATI ONAL JOURNAL OF PHARMACEUTICAL SCIENCE, Issue 2 2007Marja Savolainen The amorphous state has different chemical and physical properties compared with a crystalline one. Amorphous regions in an otherwise crystalline material can affect the bioavailability and the processability. On the other hand, crystalline material can function as nuclei and decrease the stability of an amorphous system. The aim of this study was to determine amorphous content in a pharmaceutical process environment using near infrared (NIR) and Raman spectroscopic techniques together with multivariate modelling tools. Milling was used as a model system for process-induced amorphization of a crystalline starting material, ,-lactose monohydrate. In addition, the crystallization of amorphous material was studied by storing amorphous material, either amorphous lactose or trehalose, at high relative humidity conditions. The results show that both of the spectroscopic techniques combined with multivariate methods could be applied for quantitation. Preprocessing, as well as the sampling area, was found to affect the performance of the models. Standard normal variate (SNV) transformation was the best preprocessing approach and increasing the sampling area was found to improve the models. The root mean square error of prediction (RMSEP) for quantitation of amorphous lactose using NIR spectroscopy was 2.7%, when a measuring setup with a larger sampling area was used. When the sampling area was smaller, the RMSEPs for lactose and trehalose were 4.3% and 4.2%, respectively. For Raman spectroscopy, the RMSEPs were 2.3% and 2.5% for lactose and trehalose, respectively. However, for the optimal performance of a multivariate model, all the physical forms present, as well as the process environment itself, have to be taken into consideration. [source] Multivariate exploratory analysis of ordinal data in ecology: Pitfalls, problems and solutionsJOURNAL OF VEGETATION SCIENCE, Issue 5 2005János Podani Abstract Questions: Are ordinal data appropriately treated by multivariate methods in numerical ecology? If not, what are the most common mistakes? Which dissimilarity coefficients, ordination and classification methods are best suited to ordinal data? Should we worry about such problems at all? Methods: A new classification model family, OrdClAn (Ordinal Cluster Analysis), is suggested for hierarchical and non-hierarchical classifications from ordinal ecological data, e.g. the abundance/dominance scores that are commonly recorded in relevés. During the clustering process, the objects are grouped so as to minimize a measure calculated from the ranks of within-cluster and between-cluster distances or dissimilarities. Results and Conclusions: Evaluation of the various steps of exploratory data analysis of ordinal ecological data shows that consistency of methodology throughout the study is of primary importance. In an optimal situation, each methodological step is order invariant. This property ensures that the results are independent of changes not affecting ordinal relationships, and guarantees that no illusory precision is introduced into the analysis. However, the multivariate procedures that are most commonly applied in numerical ecology do not satisfy these requirements and are therefore not recommended. For example, it is inappropriate to analyse Braun-Blanquet abudance/dominance data by methods assuming that Euclidean distance is meaningful. The solution of all problems is that the dissimilarity coefficient should be compatible with ordinal variables and the subsequent ordination or clustering method should consider only the rank order of dissimilarities. A range of artificial data sets exemplifying different subtypes of ordinal variables, e.g. indicator values or species scores from relevés, illustrate the advocated approach. Detailed analyses of an actual phytosociological data set demonstrate the classification by OrdClAn of relevés and species and the subsequent tabular rearrangement, in a numerical study remaining within the ordinal domain from the first step to the last. [source] Real-life applications of the MULVADO software package for processing DOSY NMR dataMAGNETIC RESONANCE IN CHEMISTRY, Issue 2 2006R. Huo Abstract MULVADO is a newly developed software package for DOSY NMR data processing, based on multivariate curve resolution (MCR), one of the principal multivariate methods for processing DOSY data. This paper will evaluate this software package by using real-life data of materials used in the printing industry: two data sets from the same ink sample but of different quality. Also a sample of an organic photoconductor and a toner sample are analysed. Compared with the routine DOSY output from monoexponential fitting, one of the single channel algorithms in the commercial Bruker software, MULVADO provides several advantages. The key advantage of MCR is that it overcomes the fluctuation problem (non-consistent diffusion coefficient of the same component). The combination of non-linear regression (NLR) and MCR can yield more accurate resolution of a complex mixture. In addition, the data pre-processing techniques in MULVADO minimise the negative effects of experimental artefacts on the results of the data. In this paper, the challenges for analysing polymer samples and other more complex samples will also be discussed. Copyright © 2005 John Wiley & Sons, Ltd. [source] Quantitative analysis of spatial proteoglycan content in articular cartilage with Fourier transform infrared imaging spectroscopy: Critical evaluation of analysis methods and specificity of the parametersMICROSCOPY RESEARCH AND TECHNIQUE, Issue 5 2010L. Rieppo Abstract Objective: To evaluate the specificity of the current Fourier transform infrared imaging spectroscopy (FT-IRIS) methods for the determination of depthwise proteoglycan (PG) content in articular cartilage (AC). In addition, curve fitting was applied to study whether the specificity of FT-IRIS parameters for PG determination could be improved. Methods: Two sample groups from the steer AC were prepared for the study (n = 8 samples/group). In the first group, chondroitinase ABC enzyme was used to degrade the PGs from the superficial cartilage, while the samples in the second group served as the controls. Samples were examined with FT-IRIS and analyzed using previously reported direct absorption spectrum techniques and multivariate methods and, in comparison, by curve fitting. Safranin O-stained sections were measured with digital densitometry to obtain a reference for depthwise PG distribution. Results: Carbohydrate region-based absorption spectrum methods showed a statistically weaker correlation with the PG reference distributions than the results of the curve fitting (subpeak located approximately at 1,060 cm,1). Furthermore, the shape of the depthwise profiles obtained using the curve fitting was more similar to the reference profiles than with the direct absorption spectrum analysis. Conclusions: Results suggest that the current FT-IRIS methods for PG analysis lack the specificity for quantitative measurement of PGs in AC. The curve fitting approach demonstrated that it is possible to improve the specificity of the PG analysis. However, the findings of the present study suggest that further development of the FT-IRIS analysis techniques is still needed. Microsc. Res. Tech. 2010. © 2009 Wiley-Liss, Inc. [source] Effect of occupation and smoking on respiratory symptoms in working childrenAMERICAN JOURNAL OF INDUSTRIAL MEDICINE, Issue 6 2009Erkan Cakir Abstract Objectives To compare the respiratory symptoms and the lung function of children who work in different occupational groups. Methods The study was performed among children attending vocational training centers. The participants were evaluated in six different occupation groups. Chronic cough, wheezing and shortness of breath were evaluated by questionnaire. The association of independent variables with the respiratory symptoms was investigated through both univariate and multivariate methods. Results Among 642 children, 534 were males; the mean age was 17.7,±,1.0 years. Using an internal reference group, the odds ratios of chronic cough were significantly higher in the lathe (OR: 2.0, 95%CI: 1.07,3.74), coiffure (OR: 1.94. 95%CI: 1.01,3.70), and electricity-construction (OR: 2.63, 95%CI: 1.06,6.54) groups after adjustment for smoking, age, gender, and work characteristics. There were no significant differences in spirometric values between occupational groups in either smoking or non-smoking males. In non-smoking females, median values of FEV1 (P: 0.046), PEF (P: 0.005) and FEF25,75% (P: 0.019) were lower in the textile compared to the coiffure group. There was no significant association between the total working time and spirometric values. There was no statistically significant relationship between the work-related factors and the smoking status. Conclusions The prevalence of chronic cough was higher in the lathe, coiffure, and electricity-construction groups and pulmonary function tests were lower in the non-smoking textile female group. Working children should be screened for respiratory symptoms and disease. Am. J. Ind. Med. 52:471,478, 2009. © 2009 Wiley-Liss, Inc. [source] Comparison of multivariate methods for robust parameter design in sheet metal spinningAPPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, Issue 3 2004Corinna Auer Abstract Sheet metal spinning is a very complex forming process with a large number of quality characteristics. Within the scope of a joint project of the Department of Statistics and the Chair of Forming Technology the impact of process parameters (design factors) on important quality characteristics has been investigated both theoretically and experimentally. In the past, every response has been treated individually and uncontrollable disturbances (noise factors) have been neglected. Now this approach has been extended to robust multiresponse parameter design. For this, a review of common multivariate approaches for robust parameter design has been carried out, which also leads to the proposal of some new variants. In addition to the theoretical comparison, the methods were applied to data gained in the sheet metal spinning process. The obtained results were evaluated in terms of applicability, limitations and quality accuracy. Practical experiments confirmed the high degree of efficiency that the finally proposed method based on desirabilities promises. Copyright © 2004 John Wiley & Sons, Ltd. [source] Hypermethylation of E-cadherin is an independent predictor of improved survival in head and neck squamous cell carcinoma,CANCER, Issue 7 2008Carmen J. Marsit PhD Abstract BACKGROUND. The loss of E-cadherin (ECAD) protein expression has been linked to aggressive head and neck squamous cell carcinoma (HNSCC). Promoter hypermethylation of the cadherin 1, type 1 (CDH1) gene (encoding ECAD) is 1 mechanism by which this protein can be inactivated, although this epigenetic alteration of the gene has not been linked conclusively to poorer patient outcome and, in fact, may be associated with better patient prognosis. METHODS. The authors investigated the prevalence of CDH1 promoter hypermethylation in a population-based case series of 340 primary HNSCC tumors using methylation-specific polymerase chain reaction. They also studied the association between CDH1 hypermethylation and patient demographic characteristics using multivariate analysis and examined the impact of CDH1 hypermethylation on patient survival using both univariate and multivariate methods. RESULTS. Hypermethylation of CDH1 was significantly more prevalent (P < .03) among individuals with a low smoking history independent of whether they were seropositive for human papillomavirus type 16 (HPV-16). Patients who had tumors with CDH1 hypermethylation had significantly better overall survival compared with patients who had tumors without hypermethylation (P < .02; log-rank test). This effect was independent of HPV-16 status and demonstrated a significant hazard ratio of 0.5 (95% confidence interval, 0.3-0.9) in a model that controlled for HPV-16 serology, age, sex, and tumor stage. CONCLUSIONS. The current results suggested that hypermethylation of CDH1 occurs more commonly in patients with HNSCC who are low smokers, suggesting that an additional factor may be driving this epigenetic alteration. Clinically, CDH1 hypermethylation may hold powerful prognostic potential in addition to that observed with HPV serology, and the authors concluded that it should be pursued in additional studies. Cancer 2008. © 2008 American Cancer Society. [source] Surgical margins and reresection in the management of patients with soft tissue sarcoma using conservative surgery and radiation therapyCANCER, Issue 10 2003Gunar K. Zagars M.D. Abstract BACKGROUND Patients with localized soft tissue sarcoma (STS) who present to specialist centers after undergoing apparent macroscopic total resection often have a significant incidence of residual tumor and may benefit from reresection of the tumor bed. The potential benefits of such reresection have not been documented adequately. METHODS The clinicopathologic features and disease outcome for 666 consecutive patients with localized STS who presented after undergoing apparent macroscopic total tumor resection were analyzed to elucidate the relative merits of reresection. Actuarial univariate and multivariate methods were used to compare disease outcome of patients who presented with positive or uncertain microscopic resection margins according to whether they underwent reresection. All patients received adjuvant radiation therapy. RESULTS Two hundred and ninety-five patients underwent reresection of their tumor bed, and residual tumor was found in 136 patients (46%), including macroscopic tumor in 73 patients (28%). Final resection margins among patients who underwent reresection were negative in 257 patients (87%), positive in 35 patients (12%), and uncertain in 3 patients (1%). Patients who did not undergo reresection had final margins that were negative in 117 patients (32%), positive in 47 patients (13%), and uncertain in 207 patients (56%). Local control rates at 5 years, 10 years, and 15 years for patients who underwent reresection were 85%, 85%, and 82%, respectively; for patients who did not undergo reresection, the respective local control rates were 78%, 73%, and 73% (P = 0.03). Reresection remained a significant determinant of local control when other prognostic factors were incorporated into a multivariate proportional hazards regression analysis. A similar beneficial effect of reresection was found for metastasis free survival and disease specific survival. CONCLUSIONS Patients with localized STS who were referred to a specialist center after undergoing apparent macroscopic total resection of their tumor had a high incidence of residual tumor in their tumor bed and benefited from undergoing reresection, even if radiation was administered routinely. Cancer 2003;10:2544,53. © 2003 American Cancer Society. DOI 10.1002/cncr.11367 [source] Identification of risk factors associated with nosocomial infection by rotavirus P4G2, in a neonatal unit of a tertiary-care hospitalCLINICAL MICROBIOLOGY AND INFECTION, Issue 3 2009R. Herruzo Abstract A rotavirus outbreak in newborns admitted to the ,La Paz' University Hospital, Madrid was detected, followed up and controlled. Uninfected children were selected as control subjects. Samples of faeces were taken once or twice weekly from all the newborns, including those who were asymptomatic and who were admitted to the neonatal unit for early detection of rotavirus and the positive were separated from the rest of the neonates. Contact-related precautions were taken for all patients, and alcohol solutions were used for hand washing. During the months of the outbreak, 1773 children were admitted to the hospital, 131 of whom were affected by the rotavirus infection (7.4%). Of these, 72 (55%) had symptomatic infections. In the first month of the outbreak, nine cases of necrotizing enterocolitis were diagnosed (one patient developed massive intestinal necrosis). The infections (symptomatic and asymptomatic) presented a bimodal distribution caused by a new outbreak of rotavirus type P4G2 after two patients who had acquired the infection outside the hospital were admitted when the first outbreak was subsiding. The characteristics of cases and controls were analysed using bivariate and multivariate methods (non-conditional multivariate logistic regression) to identify four risk factors strongly associated with rotavirus infection: premature birth, infections other than rotavirus, malformation, and changes in glycaemia and/or presence of jaundice. [source] | |||||||||||||||||||||||||