Global ETD Search

431	Child Neurodevelopment following In Utero Exposure to Organic Solvents Laslo-Baker, Dionne 17 December 2012 (has links) BACKGROUND: Many women of reproductive age are employed in industries involving exposure to organic solvents. Animal toxicological studies and human case reports demonstrate that exposure to organic solvents can cause neuropsychological deficits in exposed offspring; however, there is limited data from prospective controlled human studies. OBJECTIVE: To compare neuropsychological functioning between children whose mothers were occupationally exposed to organic solvents during pregnancy with a non-exposed matched comparison group. METHODS: Participants were 48 women who had previously contacted the Motherisk Program in Toronto, Canada during pregnancy regarding occupational exposure to organic solvents and a matched comparison group of women with no known exposure to teratogens during pregnancy. Children (18 months to 8 years 11 months at time of study) were compared in areas of cognitive, language, motor, and behavioral functioning. RESULTS: Children whose mothers were exposed to organic solvents during pregnancy displayed a lower level of functioning when compared with their matched peers in areas of cognitive, language, motor, and behavioral domains. Although the scores on measures of behavioral functioning were not in the clinical range, the mothers of exposed children reported more challenging behavioral problems. In order to determine whether exposure predicted neuropsychological outcomes above and beyond maternal intellectual functioning, hierarchical regressions were run with maternal IQ and maternal education at Step 1and exposure status added at Step 2. In utero exposure to organic solvents predicted lower sores on global measures of Verbal IQ, receptive and expressive language scales above and beyond maternal intellectual functioning. Factors associated with higher levels of exposure (detecting odor, longer duration and total number of toxicity symptoms) was associated with poorer outcome on behavioral and motor functioning tests. CONCLUSION: Despite the fact that the exposed mothers experienced minimal symptoms of toxicity, detrimental effects were still evident in their offspring. Current safety standards for exposure were designed for adults and need to be reevaluated. Further studies addressing exposure to specific organic solvents, dose, and gestational timing of exposure are warranted. case-control studies child child development child physiology child, preschool developmental disabilities / diagnosis female male follow-up studies humans incidence linear models maternal exposure multivariate analysis neuropsychological tests occupational exposure pregnancy in utero prenatal exposure delayed effects prognosis psychomotor performance risk assessment organic solvents toxicity toxicology policy reproductive medicine women, working pregnant women occupational medicine teratogens behavior solvents 0383 0758 0419 0380 0354 0620
432	Child Neurodevelopment following In Utero Exposure to Organic Solvents Laslo-Baker, Dionne 17 December 2012 (has links) BACKGROUND: Many women of reproductive age are employed in industries involving exposure to organic solvents. Animal toxicological studies and human case reports demonstrate that exposure to organic solvents can cause neuropsychological deficits in exposed offspring; however, there is limited data from prospective controlled human studies. OBJECTIVE: To compare neuropsychological functioning between children whose mothers were occupationally exposed to organic solvents during pregnancy with a non-exposed matched comparison group. METHODS: Participants were 48 women who had previously contacted the Motherisk Program in Toronto, Canada during pregnancy regarding occupational exposure to organic solvents and a matched comparison group of women with no known exposure to teratogens during pregnancy. Children (18 months to 8 years 11 months at time of study) were compared in areas of cognitive, language, motor, and behavioral functioning. RESULTS: Children whose mothers were exposed to organic solvents during pregnancy displayed a lower level of functioning when compared with their matched peers in areas of cognitive, language, motor, and behavioral domains. Although the scores on measures of behavioral functioning were not in the clinical range, the mothers of exposed children reported more challenging behavioral problems. In order to determine whether exposure predicted neuropsychological outcomes above and beyond maternal intellectual functioning, hierarchical regressions were run with maternal IQ and maternal education at Step 1and exposure status added at Step 2. In utero exposure to organic solvents predicted lower sores on global measures of Verbal IQ, receptive and expressive language scales above and beyond maternal intellectual functioning. Factors associated with higher levels of exposure (detecting odor, longer duration and total number of toxicity symptoms) was associated with poorer outcome on behavioral and motor functioning tests. CONCLUSION: Despite the fact that the exposed mothers experienced minimal symptoms of toxicity, detrimental effects were still evident in their offspring. Current safety standards for exposure were designed for adults and need to be reevaluated. Further studies addressing exposure to specific organic solvents, dose, and gestational timing of exposure are warranted. case-control studies child child development child physiology child, preschool developmental disabilities / diagnosis female male follow-up studies humans incidence linear models maternal exposure multivariate analysis neuropsychological tests occupational exposure pregnancy in utero prenatal exposure delayed effects prognosis psychomotor performance risk assessment organic solvents toxicity toxicology policy reproductive medicine women, working pregnant women occupational medicine teratogens behavior solvents 0383 0758 0419 0380 0354 0620
433	Development and improvement of methods for characterization of HPLC stationary phases Undin, Torgny January 2011 (has links) High Performance Liquid Chromatography (HPLC) is a widely used tech-nique both for detecting and purifying substances in academy and in the industry. In order to facilitate the use of, and knowledge in HPLC, character-ization of stationary phases is of utmost importance. Tailor made characteri-zation methods and workflows are steadily increasing the speed and accura-cy in which new separation systems and methods are developed. In the field fundamental separation science and of preparative chromatography there is always the need for faster and more accurate methods of adsorption isotherm determination. Some of that demand are met with the steadily increase of computational power, but the practical aspects on models and methods must also be further developed. These nonlinear characterization methods will not only give models capable of describing the adsorption isotherm but also actual values of local adsorption energies and monolayer saturation capacity of an individual interaction sites etc.The studies presented in this thesis use modern alkali stable stationary phas-es as a model phase, which will give an insight in hybrid materials and their separation mechanism. This thesis will include an update and expansion in using the Elution by Characteristic Points (ECP) method for determination of adsorption isotherms. The precision is even further increased due to the ability to use slope data as well as an increase in usability by assigning a set of guidance rules to be applied when determine adsorption isotherms having inflection points. This thesis will further provide the reader with information about stationary phase characterization and the power of using existing tech-niques; combine them with each other, and also what the expansion of meth-ods can revile in terms of precision and increased usability. A more holistic view of what benefits that comes with combining a non-linear characteriza-tion of a stationary phase with more common linear characterization meth-ods are presented. Adsorption isotherms Elution by characteristic points Inflection points Single component adsorption Elution by characteristic points method Slope data ECP-slope method Adsorption Adsorption energy distribution Adsorption isotherms AED Characterization of adsorption processes Chromatographic analysis Chromatography Hydrophobic-subtraction method (HSM) Hydrophobicity Linear methods Linear Models Liquid chromatography metoprolol Non-linear methods Nonlinear methods phenol priority journal propranolol Retention mechanism reversed phase liquid chromatography Solvation Subtraction method Thermodynamics Analytical Chemistry Analytisk kemi Biochemistry and Molecular Biology Biokemi och molekylärbiologi
434	Anomaly Detection in RFID Networks Alkadi, Alaa 01 January 2017 (has links) Available security standards for RFID networks (e.g. ISO/IEC 29167) are designed to secure individual tag-reader sessions and do not protect against active attacks that could also compromise the system as a whole (e.g. tag cloning or replay attacks). Proper traffic characterization models of the communication within an RFID network can lead to better understanding of operation under “normal” system state conditions and can consequently help identify security breaches not addressed by current standards. This study of RFID traffic characterization considers two piecewise-constant data smoothing techniques, namely Bayesian blocks and Knuth’s algorithms, over time-tagged events and compares them in the context of rate-based anomaly detection. This was accomplished using data from experimental RFID readings and comparing (1) the event counts versus time if using the smoothed curves versus empirical histograms of the raw data and (2) the threshold-dependent alert-rates based on inter-arrival times obtained if using the smoothed curves versus that of the raw data itself. Results indicate that both algorithms adequately model RFID traffic in which inter-event time statistics are stationary but that Bayesian blocks become superior for traffic in which such statistics experience abrupt changes. Thesis University of North Florida UNF RFID RFID security NFC anomaly detection security Bayesian blocks Bayesian statistics Knuth Knuth's rule RFID traffic piecewise constant models security standards RFID networks ISO standards IEC 29167 standards tag-reader sessions active attacks tag cloning replay attacks piecewise linear models RFID command arrivals traffic characterization intrusion detection Radiofrequency identification Bayes methods Data models mathematical model telecommunication traffic telecommunication security Computational Engineering Information Security Theory and Algorithms
435	Interacció VHC-hoste: Estudi genètic i clínic en pacients coinfectats amb VHC-VIH Matas Crespí, Marina 14 January 2013 (has links) L’Organització Mundial de la Salut (OMS) estima que fins a un 3% de la població mundial ha estat infectada pel virus de l’hepatitis C i és la causa més important d’hepatitis crònica, cirrosi i de malaltia hepàtica terminal, que finalment acaba conduint a un transplantament de fetge. La relació entre la variabilitat en la seqüència del virus de l’hepatitis C i el desenvolupament de la malaltia hepàtica és de tipus multifactorial. La infecció crònica causa fibrosi hepàtica, fet que es veu accelerat per mecanismes desconeguts en el cas de pacients coinfectats amb VIH. La progressió de la malaltia produïda pel VHC en pacients coinfectats, està influenciada no només per factors demogràfics, epidemiològics o pels antecedents clínics dels pacients, si no també per diferències genètiques entre els diferents virus i els hostes. Ciències de la salut 57 576
436	Räumliche, GIS-gestützte Analyse von Linientransektstichproben / Spatial, GIS-aided analysis of line transect surveys Mader, Felix 09 March 2007 (has links) No description available. 500 Naturwissenschaften allgemein Mathematics and Computer Science Distance Sampling räumliche Autokorrelation Count-Modell Wilddichteschätzungen verallgemeinerte lineare Modelle GLM GEE log-lineares Modell Poisson-Regression Distance Sampling spatial autocorrelation count model animal abundance SAS Distance ArcGIS generalized linear models GLM generalized estimating equations GEE log-linear model Poisson regression 43.03 42.90 43.33 54.64 54.80 54.81 42.11 EIGA 320

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