844 resultados para principal components analysis (PCA) algorithm
Resumo:
In der vorliegenden Arbeit wurden die Blattmerkmale der Juglandaceen auf ihre systematische Verwertbarkeit hin untersucht. Ein Datensatz mit 62 Blattmerkmalen von 48 rezenten Juglandaceen-Arten wurde zusammengetragen. Zusätzlich wurden vier fossile Blattformen erfasst. Die fossilen Blätter stammen aus zwei Fundstätten des deutschen Eozäns. Der Datensatz wurde mit dem Computerprogramm MacClade® auf ein Phylogramm aus Manos und Stone (2001) übertragen (‚character mapping’). Zusätzlich wurde eine Hauptkomponentenanalyse mit dem Computerprogramm PAST® durchgeführt. Die meisten taxonomischen Einheiten der Juglandaceen konnten mithilfe des ‚character mapping’ wiedererkannt werden, die dafür verantwortlichen Blattmerkmale haben somit ihre systematische Signifikanz unter Beweis gestellt. Weiterhin konnte eine Evolutionstendenz des Induments belegt werden. Zwischen den ursprünglichen und den abgeleiteten Juglandaceen-Taxa ist eine zunehmende Differenzierung des Induments zu beobachten. Die fossilen Blattformen bildeten in der Hauptkomponentenanalyse eine eindeutig erkennbare Gruppierung, die von allen rezenten Taxa der Analyse separiert ist. Demnach lassen sie sich nicht durch einen Vergleich mit rezenten Blättern systematisch zuordnen. Die fossilen Blattformen der Juglandaceen bestätigen die hier belegte Evolutions-tendenz des Induments. Sie stehen mit ihren ursprünglichen Indumentstrukturen am Ausgangspunkt der Indumentevolution.
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Während der Glazialphasen kam es in den europäischen Mittelgebirgen bedingt durch extensive solifluidale Massenbewegungen zur Bildung von Deckschichten. Diese Deckschichten repräsentieren eine Mischung verschiedener Substrate, wie anstehendes Ausgangsgestein, äolische Depositionen und lokale Erzgänge. Die räumliche Ausdehnung der Metallkontaminationen verursacht durch kleinräumige Erzgänge wird durch die periglaziale Solifluktion verstärkt. Das Ziel der vorliegenden Untersuchung war a) den Zusammenhang zwischen den Reliefeigenschaften und den Ausprägungen der solifluidalen Deckschichten und Böden aufzuklären, sowie b) mittels Spurenelementgehalte und Blei-Isotopen-Verhältnisse als Eingangsdaten für Mischungsmodelle die Beitrage der einzelnen Substrate zum Ausgangsmaterial der Bodenbildung zu identifizieren und quantifizieren und c) die räumliche Verteilung von Blei (Pb) in Deckschichten, die über Bleierzgänge gewandert sind, untersucht, die Transportweite des erzbürtigen Bleis berechnet und die kontrollierenden Faktoren der Transportweite bestimmt werden. Sechs Transekte im südöstlichen Rheinischen Schiefergebirge, einschließlich der durch periglaziale Solifluktion entwickelten Böden, wurden untersucht. Die bodenkundliche Geländeaufnahme erfolgte nach AG Boden (2005). O, A, B und C-Horizontproben wurden auf ihre Spurenelementgehalte und teilweise auf ihre 206Pb/207Pb-Isotopenverhältnisse analysiert. Die steuernden Faktoren der Verteilung und Eigenschaften periglazialer Deckschichten sind neben der Petrographie, Reliefeigenschaften wie Exposition, Hangneigung, Hangposition und Krümmung. Die Reliefanalyse zeigt geringmächtige Deckschichten in divergenten, konvexen Hangbereichen bei gleichzeitig hohem Skelettgehalt. In konvergent, konkaven Hangbereichen nimmt die Deckschichtenmächtigkeit deutlich zu, bei gleichzeitig zunehmendem Lösslehm- und abnehmendem Skelettgehalt. Abhängig von den Reliefeigenschaften und -positionen reichen die ausgeprägten Bodentypen von sauren Braunerden bis hin zu Pseudogley-Parabraunerden. Des Weiteren kommen holozäne Kolluvien in eher untypischen Reliefpositionen wie langgestreckten, kaum geneigten Hangbereichen oder Mittelhangbereichen vor. Außer für Pb bewegen sich die Spurenelementgehalte im Rahmen niedriger Hintergrundgehalte. Die Pb-Gehalte liegen zwischen 20-135 mg kg-1. Abnehmende Spurenelementgehalte und Isotopensignaturen (206Pb/207Pb-Isotopenverhältnisse) von Pb zeigen, dass nahezu kein Pb aus atmosphärischen Depositionen in die B-Horizonte verlagert wurde. Eine Hauptkomponentenanalyse (PCA) der Spurenelementgehalte hat vier Hauptsubstratquellen der untersuchten B-Horizonte identifiziert (Tonschiefer, Löss, Laacher-See-Tephra [LST] und lokale Pb-Erzgänge). Mittels 3-Komponenten-Mischungsmodell, das Tonschiefer, Löss und LST einschloss, konnten, bis auf 10 Ausreißer, die Spurenelementgehalte aller 120 B-Horizontproben erklärt werden. Der Massenbeitrag des Pb-Erzes zur Substratmischung liegt bei <0,1%. Die räumliche Pb-Verteilung zeigt Bereiche lokaler Pb-Gehaltsmaxima hangaufwärtiger Pb-Erzgänge. Mittels eines 206Pb/207Pb-Isotopenverhältnis-Mischungsmodells konnten 14 Bereiche erhöhter lokaler Pb-Gehaltsmaxima ausgewiesen werden, die 76-100% erzbürtigen Bleis enthalten. Mit Hilfe eines Geographischen Informationssystems wurden die Transportweiten des erzbürtigen Bleis mit 30 bis 110 m bestimmt. Die steuerenden Faktoren der Transportweite sind dabei die Schluffkonzentration und die Vertikalkrümmung. Diese Untersuchung zeigt, dass Reliefeigenschaften und Reliefposition einen entscheidenden Einfluss auf die Ausprägung der Deckschichten und Böden im europäischen Mittelgebirgsbereich haben. Mischungsmodelle in Kombination mit Spurenelementanalysen und Isotopenverhältnissen stellen ein wichtiges Werkzeug zur Bestimmung der Beiträge der einzelnen Glieder in Bodensubstratmischungen dar. Außerdem können lokale Bleierzgänge die natürlichen Pb-Gehalte in Böden, entwickelt in periglazialen Deckschichten der letzten Vereisungsphase (Würm), bis über 100 m Entfernung erhöhen.
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Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous and found in the atmosphere, aquatic environment, sediments and soils. For environmental risk assessments and the allocation of the polluter it is important to know the PAH sources. PAH contamination sites are usually the result of anthropogenic processes. Three major sources are known: i) petroleum, including crude oil and its refined products and coals (petrogenic PAHs), ii) burning of organic matter (pyrogenic PAHs) and iii) transformation products of natural organic precursors present in the environment (diagenetic processes). In one case elevated PAH concentrations were found in river bank soils when building a retention area along the Mosel River. The source of the PAHs in this area was unclear and required the investigation of possible sources. To evaluate the PAH distribution along the Mosel River, a section of ~ 160 km along the river and a short section along the Saar River were investigated within this study. Concentrations of the Σ16 EPA PAHs were as high as 81 mg kg-1 dry weight (dw). Additionally, coal particles were identified in some soils, which originated from mining activities in the Saarland region. PAH distribution patterns of the 16 EPA PAHs suggest a mainly pyrogenic origin and in some cases a mixture of pyrogenic and petrogenic origin. For a comprehensive investigation five sampling sites were selected. Two sites were located before the confluence of the Mosel and Saar River, one site at the confluence and two sites after the confluence. The examination included typical forensic methods such as PAH distribution patterns of 45 PAHs (including alkylated PAHs), calculation of PAH ratios, determination of PAH alkyl homologues, n-alkanes, principal component analysis (PCA) and coal petrography. The results revealed a mainly pyrogenic source at sampling sites before the confluence of the two rivers. At and after the confluence, a mixture of pyrogenic and petrogenic inputs were present. With the help of coal petrography, coal derived particles could be identified in these soils. Therefore, coal was suggested to be the petrogenic source. It could be shown that sites with diffuse sources of contaminants, like the bank soils of the Mosel River, are difficult to characterize. As previously mentioned for detailed source identifications, the use of various forensic methods is essential. Determination of PAH alkyl homologue series, biomarkers and isotopes are often recommended. Source identification was evaluated using three different methods (i.e. PAH distribution patterns of an extended PAH spectrum, PAH ratios and analyses of n-alkanes). It was assessed if these methods were sufficient for the initial steps in identifying sources of PAHs in selected samples, and if they could be used for decision-making purposes. Point- and non-point sources were identified by applying the three methods and it could be shown that these relatively simple methods are sufficient in determining the primary source. In a last step of this study two soils (one before the confluence of the Mosel and Saar rivers and one after the confluence), and one sediment of the Mosel River were evaluated by investigating the mutagenic potential of the soils and the sediment with a fluctuation version of the Ames-test. The study showed that coal bearing soils at the Mosel River do not exhibit a greater mutagenic potential than other soils or sediments without coal particles.
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Il presente lavoro si compone di tre capitoli, tra loro autonomi e allo stesso tempo intrinsecamente collegati. Nel primo capitolo si è voluto offrire una panoramica dello scenario agroalimentare italiano e della sua rilevanza nel sistema economico nazionale. Per fare ciò si è partiti da una disamina del contesto economico mondiale per poi centrare il discorso sull’andamento congiunturale dell’agroalimentare nazionale, analizzato secondo i principali indicatori macroeconomici. Successivamente vengono presentati gli attori del sistema agroalimentare, rilevando per ciascuno di essi le proprie specificità e tendenze. L’ultima parte del primo capitolo è un focus specifico sul ruolo giocato dall’agroalimentare italiano nel commercio e nei mercati internazionali. Nel secondo capitolo si è approntata una mappatura territoriale e per comparti delle principali specializzazioni commerciali del settore agroalimentare delle regioni italiane. Tramite l'utilizzo di appositi indici di specializzazione si è analizzata la realtà agroalimentare delle regioni italiane, mettendone in evidenza la struttura competitiva e approssimandola tramite l’analisi dei vantaggi comparati di cui gode. Infine, nel terzo capitolo, si è ampliato il campo d'analisi tentando di misurare il livello di internazionalizzazione delle regioni italiane, non solo in ambito agroalimentare, ma considerando l'intero sistema territoriale regionale. Si è tentato di fare ciò tramite tre strumenti: l’analisi delle componenti principali (PCA o ACP), il Mazziotta-Pareto Index e il Wroclaw taxonomic method. I risultati ottenuti tramite le tre modalità di elaborazione hanno permesso di approfondire la conoscenza del livello di internazionalizzazione registrato dalle regioni italiane, mettendo in luce ulteriori filoni di ricerca della tematica osservata.
Resumo:
Da es bis dato kein spezifisches Instrument gibt, um die Betreuungsbedürfnisse von Patientinnen im Rahmen der gynäkologischen Krebsfrüherkennungsuntersuchung zu erfassen, war es das Ziel der vorliegenden explorativen Studie, eben jene subjektiven Betreuungsbedürfnisse aufzudecken und sie in ein praxistaugliches und messbares Format zu überführen - den Fragebogen „Betreuungsbedürfnisse – Gynäkologische Krebsfrüherkennungsuntersuchung (BB-G KFU)“. Wir stellten hierzu folgende Hypothesen auf: Es ist möglich (a) Betreuungsbedürfnisse zu explorieren und in reliablen Skalen abzubilden, (b) die Wichtigkeit der Betreuungsbedürfnisse in Form einer Wertigkeitsrangfolge abzubilden, (c) Determinanten der Betreuungsbedürfnisse (Alter, Sozialstatus, Familienstand, Gesundheitsbezogene Kontrollüberzeugungen) zu detektieren. Wir entwickelten einen Fragebogen auf der Basis einer ausführlichen systematischen Literaturrecherche, Leitfadeninterviews mit gynäkologischen Patientinnen sowie einer Befragung von 18 Experten. Dieser Fragebogen beinhaltete 58 Arzt bezogene Betreuungsbedürfnisse-Items, 12 Arzthelferinnen bezogene Betreuungsbedürfnisse-Items und 21 Praxisorganisation und Praxisstruktur bezogene Betreuungsbedürfnisse-Items. Die Probandinnen bewerteten die Wichtigkeit der Erfüllung jedes Items anhand einer fünfstufigen Antwortskala im Likert-Format (1 = nicht wichtig, 5 = sehr wichtig). Zudem wurden soziodemografische Daten sowie gesundheitsbezogene Kontrollüberzeugungen der Probandinnen erhoben. Im Sinne einer multizentrisch angelegten Querschnittstudie wurde der Fragebogen an 1.000 Patientinnen in zehn gynäkologischen Praxen in drei deutschen Bundesländern ausgegeben. Insgesamt erhielten wir 965 ausgefüllte Fragebögen zurück. Mittels deskriptiver Statistiken konnten die soziodemografischen Daten sowie die einzelnen Betreuungsbedürfnisse-Items ausgewertet werden. Zur Entwicklung reliabler Betreuungsbedürfnis-Skalen wurde der Datensatz einer Hauptkomponentenanalyse (PCA mit Varimax-Rotation) unterzogen. Auf diesem Wege konnte ein Erfassungsinstrument (Fragebogen „Betreuungsbedürfnisse – Gynäkologische Krebsfrüherkennungsuntersuchung (BB-G KFU)“) bestehend aus sieben reliablen Betreuungsbedürfnis-Skalen (BB-S) entwickelt werden, welche die psychosozialen Betreuungsbedürfnisse und -wünsche von Patientinnen mit Bezug auf den Gynäkologen (BB-S-A), die Arzthelferin (BB-S-AH) sowie die Praxisstruktur (BB-S-P) abzubilden vermögen: „Bedürfnis nach Information“ (BB-S-A-I), „Bedürfnis nach Respekt und Einfühlungsvermögen im Rahmen der körperlichen Untersuchung“ (BB-S-A-RE), „Bedürfnis nach Zuwendung und Verfügbarkeit“ (BB-S-A-ZV), „Bedürfnis nach Zuwendung und Service“ (BB-S-AH-ZS), „Bedürfnis nach logistischer Unterstützung“ (BB-S-AH-L), „Bedürfnis nach Basisausstattung und Erreichbarkeit“ (BB-S-P-BE) und „Bedürfnis nach Zusatzausstattung“ (BB-S-P-Z). Die durch die drei arztbezogenen Komponenten (bestehend aus 33 Items) aufgeklärte Gesamtvarianz beträgt 40,29%, die der arzthelferinnenbezogenen 2-Komponentenlösung (11 Items) 48,92%, und die Totalvarianz der zwei Dimensionen mit Bezug auf die Praxisstruktur (19 Items) liegt bei 41,68%. Die Reliabilitäten der sieben Skalen sind als akzeptabel bis sehr gut zu bewerten (Cronbachs α = .71 - .89). Anhand der Korrelationen zum KKG (Fragen zu Kontrollüberzeugungen über Krankheit und Gesundheit von Lohaus und Schmitt) konnten erste positive Hinweise auf die Validität des BB-G KFU gefunden werden. Durch den Vergleich der einzelnen Mittelwerte konnte die hierarchische Organisation der Betreuungsbedürfnisse gemäß ihrer Wichtigkeit sichtbar gemacht werden: Die Arbeit zeigt, dass Patientinnen im Rahmen der gynäkologischen KFU der Informationsvermittlung durch den Arzt (BB-S-A-I; M = 1,51; SD = 0,47) wie auch der ärztlichen Zuwendung und Verfügbarkeit (BB-S-A-ZV; M = 1,39; SD = 0,38) in der Wertigkeitsrangfolge einen besonders hohen Platz einräumen. Die Datenanalysen zeigen zudem eine Abhängigkeit der Betreuungsbedürfnisse vom Alter und vom Sozialstatus der Patientinnen, jedoch nicht vom Familienstand und den gesundheitsbezogenen Kontrollüberzeugungen.
Resumo:
Lo scopo di questo elaborato di tesi è stato quello di condurre uno studio preliminare volto ad indagare le principali caratteristiche qualitative delle carni bovine in funzione dell’origine e dell’età degli animali. Nel corso della sperimentazione sono stati analizzati 24 campioni di carne bovina ottenuti da animali di origine francese ed italiana di età compresa fra 15 e 23 mesi, acquistati presso la grande distribuzione o acquisiti direttamente dalle aziende produttrici. Da ciascun campione sono state ricavate delle porzioni di 6 mm di spessore impiegate, a loro volta, per la preparazione di sotto-campioni da sottoporre a determinazione di pH, colore, Expressible Moisture (EM %) e sforzo di taglio. Nell’ambito di ciascun parametro, l’insieme dei dati è stato analizzato mediante analisi statistica di tipo descrittivo. Successivamente, calcolata la matrice delle correlazioni fra i parametri oggetto di studio i dati sono stati elaborati mediante analisi multivariata con il metodo delle componenti principali (Principal Component Analysis, PCA) allo scopo di verificare se fosse possibile discriminare la qualità della carne in funzione dell’origine e dell’età degli animali. Quanto emerso evidenzia come non sia possibile discriminare la qualità dei campioni di carne bovina, sia acquistati al dettaglio presso la grande distribuzione che acquisiti direttamente dalle aziende produttrici, sulla base delle informazioni riportate in etichetta circa l’età e l’origine degli animali. Ciò può trovare spiegazione nella molteplicità di fattori intrinseci (specie, razza o tipo genetico, genere, età e peso degli animali alla macellazione) ed estrinseci (fasi pre- e post-macellazione) in grado di svolgere un ruolo rilevante nel determinare la qualità della carne. Pertanto, future ricerche dovranno essere intraprese per individuare quali parametri possano essere considerati più idonei a valorizzare la qualità tecnologica e sensoriale delle carni bovine.
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Alcohol-induced liver disease (ALD) is a leading cause of nonaccident-related deaths in the United States. Although liver damage caused by ALD is reversible when discovered at the earlier stages, current risk assessment tools are relatively nonspecific. Identification of an early specific signature of ALD would aid in therapeutic intervention and recovery. In this study, the metabolic changes associated with ALD were examined using alcohol-fed male Ppara-null mouse as a model of ALD. Principal components analysis of the mass spectrometry-based urinary metabolic profile showed that alcohol-treated wild-type and Ppara-null mice could be distinguished from control animals without information on history of alcohol consumption. The urinary excretion of ethyl-sulfate, ethyl-beta-d-glucuronide, 4-hydroxyphenylacetic acid, and 4-hydroxyphenylacetic acid sulfate was elevated and that of the 2-hydroxyphenylacetic acid, adipic acid, and pimelic acid was depleted during alcohol treatment in both wild-type and the Ppara-null mice albeit to different extents. However, indole-3-lactic acid was exclusively elevated by alcohol exposure in Ppara-null mice. The elevation of indole-3-lactic acid is mechanistically related to the molecular events associated with development of ALD in alcohol-treated Ppara-null mice. This study demonstrated the ability of a metabolomics approach to identify early, noninvasive biomarkers of ALD pathogenesis in Ppara-null mouse model.
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The translation from psychiatric core symptoms to brain functions and vice versa is a largely unresolved issue. In particular, the search for disorders of single brain regions explaining classical symptoms has not yielded the expected results. Based on the assumption that the psychopathology of psychosis is related to a functional imbalance of higher-order brain systems, the authors focused on three specific candidate brain circuitries, namely the language, and limbic and motor systems. These domains are of particular interest for understanding the disastrous communication breakdown during psychotic disorders. Core symptoms of psychosis were mapped on these domains by shaping their definitions in order to match the related brain functions. The resulting psychopathological assessment scale was tested for interrater reliability and internal consistency in a group of 168 psychotic patients. The items of the scale were reliable and a principal component analysis (PCA) was best explained by a solution resembling the three candidate systems. Based on the results, the scale was optimized as an instrument to identify patient subgroups characterized by a prevailing dysfunction of one or more of these systems. In conclusion, the scale is apt to distinguish symptom domains related to the activity of defined brain systems. PCA showed a certain degree of independence of the system-specific symptom clusters within the patient group, indicating relative subgroups of psychosis. The scale is understood as a research instrument to investigate psychoses based on a system-oriented approach. Possible immediate advantages in the clinical application of the understanding of psychoses related to system-specific symptom domains are also discussed.
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Somatosensory object discrimination has been shown to involve widespread cortical and subcortical structures in both cerebral hemispheres. In this study we aimed to identify the networks involved in tactile object manipulation by principal component analysis (PCA) of individual subjects. We expected to find more than one network.
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(1)H HR-MAS NMR spectroscopy was applied to apple tissue samples deriving from 3 different cultivars. The NMR data were statistically evaluated by analysis of variance (ANOVA), principal component analysis (PCA), and partial least-squares-discriminant analysis (PLS-DA). The intra-apple variability of the compounds was found to be significantly lower than the inter-apple variability within one cultivar. A clear separation of the three different apple cultivars could be obtained by multivariate analysis. Direct comparison of the NMR spectra obtained from apple tissue (with HR-MAS) and juice (with liquid-state HR NMR) showed distinct differences in some metabolites, which are probably due to changes induced by juice preparation. This preliminary study demonstrates the feasibility of (1)H HR-MAS NMR in combination with multivariate analysis as a tool for future chemometric studies applied to intact fruit tissues, e.g. for investigating compositional changes due to physiological disorders, specific growth or storage conditions.
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Abberrant DNA methylation is one of the hallmarks of cancerogenesis. Our study aims to delineate differential DNA methylation in cirrhosis and hepatic cancerogenesis. Patterns of methylation of 27,578 individual CpG loci in 12 hepatocellular carcinomas (HCCs), 15 cirrhotic controls and 12 normal liver samples were investigated using an array-based technology. A supervised principal component analysis (PCA) revealed 167 hypomethylated loci and 100 hypermethylated loci in cirrhosis and HCC as compared to normal controls. Thus, these loci show a "cirrhotic" methylation pattern that is maintained in HCC. In pairwise supervised PCAs between normal liver, cirrhosis and HCC, eight loci were significantly changed in all analyses differentiating the three groups (p < 0.0001). Of these, five loci showed highest methylation levels in HCC and lowest in control tissue (LOC55908, CELSR1, CRMP1, GNRH2, ALOX12 and ANGPTL7), whereas two loci showed the opposite direction of change (SPRR3 and TNFSF15). Genes hypermethylated between normal liver to cirrhosis, which maintain this methylation pattern during the development of HCC, are depleted for CpG islands, high CpG content promoters and polycomb repressive complex 2 (PRC2) targets in embryonic stem cells. In contrast, genes selectively hypermethylated in HCC as compared to nonmalignant samples showed an enrichment of CpG islands, high CpG content promoters and PRC2 target genes (p < 0.0001). Cirrhosis and HCC show distinct patterns of differential methylation with regards to promoter structure, PRC2 targets and CpG islands.
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Impulsivity is a multifaceted construct that defines a range of maladaptive behavioral styles. The present research aimed to identify different dimensions of impulsive behavior in adolescents from a battery of laboratory behavioral assessments. In one analysis, correlations were examined between two self report and seven laboratory behavioral measures of impulsivity. The correlation between the two self report measures was high compared to correlations between the self report and laboratory behavioral measures. In a second analysis, a principal components analysis was performed with just the laboratory behavioral measures. Three behavioral dimensions were identified -- "impulsive decision-making", "impulsive inattention", and "impulsive disinhibition". These dimensions were further evaluated using the same sample with a confirmatory factor analysis, which did support the hypothesis that these are significant and independent dimensions of impulsivity. This research indicates there are at least three separate subtypes of impulsive behavior when using laboratory behavioral assessments with adolescent participants.
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The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) has been used to quantify SO2 emissions from passively degassing volcanoes. This dissertation explores ASTER’s capability to detect SO2 with satellite validation, enhancement techniques and extensive processing of images at a variety of volcanoes. ASTER is compared to the Mini UV Spectrometer (MUSe), a ground based instrument, to determine if reasonable SO2 fluxes can be quantified from a plume emitted from Lascar, Chile. The two sensors were in good agreement with ASTER proving to be a reliable detector of SO2. ASTER illustrated the advantages of imaging a plume in 2D, with better temporal resolution than the MUSe. SO2 plumes in ASTER imagery are not always discernible in the raw TIR data. Principal Component Analysis (PCA) and Decorrelation Stretch (DCS) enhancement techniques were compared to determine how well they highlight a variety of volcanic plumes. DCS produced a consistent output and the composition of the plumes was easy to identify from explosive eruptions. As the plumes became smaller and lower in altitude they became harder to distinguish using DCS. PCA proved to be better at identifying smaller low altitude plumes. ASTER was used to investigate SO2 emissions at Lascar, Chile. Activity at Lascar has been characterized by cyclic behavior and persistent degassing (Matthews et al. 1997). Previous studies at Lascar have primarily focused on changes in thermal infrared anomalies, neglecting gas emissions. Using the SO2 data along with changes in thermal anomalies and visual observations it is evident that Lascar is at the end an eruptive cycle that began in 1993. Declining gas emissions and crater temperatures suggest that the conduit is sealing. ASTER and the Ozone Monitoring Instrument (OMI) were used to determine the annual contribution of SO2 to the troposphere from the Central and South American volcanic arcs between 2000 and 2011. Fluxes of 3.4 Tg/a for Central America and 3.7 Tg/a for South America were calculated. The detection limits of ASTER were explored. The results a proved to be interesting, with plumes from many of the high emitting volcanoes, such as Villarrica, Chile, not being detected by ASTER.
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Soil spectroscopy was applied for predicting soil organic carbon (SOC) in the highlands of Ethiopia. Soil samples were acquired from Ethiopia’s National Soil Testing Centre and direct field sampling. The reflectance of samples was measured using a FieldSpec 3 diffuse reflectance spectrometer. Outliers and sample relation were evaluated using principal component analysis (PCA) and models were developed through partial least square regression (PLSR). For nine watersheds sampled, 20% of the samples were set aside to test prediction and 80% were used to develop calibration models. Depending on the number of samples per watershed, cross validation or independent validation were used.The stability of models was evaluated using coefficient of determination (R2), root mean square error (RMSE), and the ratio performance deviation (RPD). The R2 (%), RMSE (%), and RPD, respectively, for validation were Anjeni (88, 0.44, 3.05), Bale (86, 0.52, 2.7), Basketo (89, 0.57, 3.0), Benishangul (91, 0.30, 3.4), Kersa (82, 0.44, 2.4), Kola tembien (75, 0.44, 1.9),Maybar (84. 0.57, 2.5),Megech (85, 0.15, 2.6), andWondoGenet (86, 0.52, 2.7) indicating that themodels were stable. Models performed better for areas with high SOC values than areas with lower SOC values. Overall, soil spectroscopy performance ranged from very good to good.
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BACKGROUND: : Women at increased risk of breast cancer (BC) are not widely accepting of chemopreventive interventions, and ethnic minorities are underrepresented in related trials. Furthermore, there is no validated instrument to assess the health-seeking behavior of these women with respect to these interventions. METHODS: : By using constructs from the Health Belief Model, the authors developed and refined, based on pilot data, the Breast Cancer Risk Reduction Health Belief (BCRRHB) scale using a population of 265 women at increased risk of BC who were largely medically underserved, of low socioeconomic status (SES), and ethnic minorities. Construct validity was assessed using principal components analysis with oblique rotation to extract factors, and generate and interpret summary scales. Internal consistency was determined using Cronbach alpha coefficients. RESULTS: : Test-retest reliability for the pilot and final data was calculated to be r = 0.85. Principal components analysis yielded 16 components that explained 64% of the total variance, with communalities ranging from 0.50-0.75. Cronbach alpha coefficients for the extracted factors ranged from 0.45-0.77. CONCLUSIONS: : Evidence suggests that the BCRRHB yields reliable and valid data that allows for the identification of barriers and enhancing factors associated with use of breast cancer chemoprevention in the study population. These findings allow for tailoring treatment plans and intervention strategies to the individual. Future research is needed to validate the scale for use in other female populations. Cancer 2009. (c) 2009 American Cancer Society.