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Thematische Bibliographien / Environmental health Data processing / Dissertationen

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Dissertationen zum Thema „Environmental health Data processing“

Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 11. Februar 2022

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1

Wilmot, Peter Nicholas. "Modelling cooling tower risk for Legionnaires' Disease using Bayesian Networks and Geographic Information Systems." Title page, contents and conclusion only, 1999. http://web4.library.adelaide.edu.au/theses/09SIS.M/09sismw744.pdf.

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Includes bibliographical references (leaves 115-120) Establishes a Bayesian Belief Network (BBN) to model uncertainty of aerosols released from cooling towers and Geographic Information Systems (GIS) to create a wind dispersal model and identify potential cooling towers as the source of infection. Demonstrates the use of GIS and BBN in environmental epidemiology and the power of spatial information in the area of health.

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Chitondo, Pepukayi David Junior. "Data policies for big health data and personal health data." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2479.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2016.<br>Health information policies are constantly becoming a key feature in directing information usage in healthcare. After the passing of the Health Information Technology for Economic and Clinical Health (HITECH) Act in 2009 and the Affordable Care Act (ACA) passed in 2010, in the United States, there has been an increase in health systems innovations. Coupling this health systems hype is the current buzz concept in Information Technology, „Big data‟. The prospects of big data are full of potential, eve

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Yang, Bin, and 杨彬. "A novel framework for binning environmental genomic fragments." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45789344.

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4

Gigandet, Katherine M. "Processing and Interpretation of Illinois Basin Seismic Reflection Data." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1401309913.

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5

Perovich, Laura J. (Laura Jones). "Data Experiences : novel interfaces for data engagement using environmental health data." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/95612.

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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 71-81).<br>For the past twenty years, the data visualization movement has reworked the way we engage with information. It has brought fresh excitement to researchers and reached broad audiences. But what comes next for data? I seek to create example "Data Experiences" that will contribute to developing new spaces of information engagement. Using data from Silent Spring Institute

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Ponsimaa, P. (Petteri). "Discovering value for health with grocery shopping data." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201605221849.

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Food retailers are taking more active role in the customer value creation process and shifting their attention from the sale of goods to support customer’s value-creation to discover more innovative service-based business models. From customer data consumers may develop more responsible consumption behaviour, make more economical choices, and raise awareness on food healthiness. This exploratory study sets out to answer the question what value if any does the use of grocery shopping data bring to the customers. Using design science research, the thesis makes use of grocery purchase data avail

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Adu-Prah, Samuel. "GEOGRAPHIC DATA MINING AND GEOVISUALIZATION FOR UNDERSTANDING ENVIRONMENTAL AND PUBLIC HEALTH DATA." OpenSIUC, 2013. https://opensiuc.lib.siu.edu/dissertations/657.

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Within the theoretical framework of this study it is recognized that a very large amount of real-world facts and geospatial data are collected and stored. Decision makers cannot consider all the available disparate raw facts and data. Problem-specific variables, including complex geographic identifiers have to be selected from this data and be validated. The problems associated with environmental- and public-health data are that (1) geospatial components of the data are not considered in analysis and decision making process, (2) meaningful geospatial patterns and clusters are often overlooked,

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Kersten, Ellen Elisabeth. "Spatial Triage| Data, Methods, and Opportunities to Advance Health Equity." Thesis, University of California, Berkeley, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3686356.

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<p> This dissertation examines whether spatial measures of health determinants and health outcomes are being used appropriately and effectively to improve the health of marginalized populations in the United States. I concentrate on three spatial measures that have received significant policy and regulatory attention in California and nationally: access to healthful foods, climate change, and housing quality. I find that measures of these health determinants have both significant limitations and unrealized potential for addressing health disparities and promoting health equity. </p><p> I de

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Ling, Meng-Chun. "Senior health care system." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2785.

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Senior Health Care System (SHCS) is created for users to enter participants' conditions and store information in a central database. When users are ready for quarterly assessments the system generates a simple summary that can be reviewed, modified, and saved as part of the summary assessments, which are required by Federal and California law.

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Dulaney, D. R., Kurt J. Maier, and Phillip R. Scheuerman. "Data Requirements for Developing Effective Pathogen TMDLs." Digital Commons @ East Tennessee State University, 2005. https://dc.etsu.edu/etsu-works/2938.

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11

Zhao, Hang. "Finding stable allocations in distributed real-time systems with multiple environmental parameters and replicable application." Ohio : Ohio University, 2005. http://www.ohiolink.edu/etd/view.cgi?ohiou1113854894.

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12

Danna, Nigatu Mitiku, and Esayas Getachew Mekonnen. "Data Processing Algorithms in Wireless Sensor Networks får Structural Health Monitoring." Thesis, KTH, Bro- och stålbyggnad, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-72241.

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The gradual deterioration and failure of old buildings, bridges and other civil engineering structures invoked the need for Structural Health Monitoring (SHM) systems to develop a means to monitor the health of structures. Dozens of sensing, processing and monitoring mechanisms have been implemented and widely deployed with wired sensors. Wireless sensor networks (WSNs), on the other hand, are networks of large numbers of low cost wireless sensor nodes that communicate through a wireless media. The complexity nature and high cost demand of the highly used wired traditional SHM systems have pos

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Harley, Joel B. "Data-Driven, Sparsity-Based Matched Field Processing for Structural Health Monitoring." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/392.

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This dissertation develops a robust, data-driven localization methodology based on the integration of matched field processing with compressed sensing ℓ1 recovery techniques and scale transform signal processing. The localization methodology is applied to an ultrasonic guided wave structural health monitoring system for detecting, locating, and imaging damage in civil infrastructures. In these systems, the channels are characterized by complex, multi-modal, and frequency dispersive wave propagation, which severely distort propagating signals. Acquiring the characteristics of these propagation

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Algire, Martin. "Distributed multi-processing for high performance computing." Thesis, McGill University, 2000. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=31180.

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Parallel computing can take many forms. From a user's perspective, it is important to consider the advantages and disadvantages of each methodology. The following project attempts to provide some perspective on the methods of parallel computing and indicate where the tradeoffs lie along the continuum. Problems that are parallelizable enable researchers to maximize the computing resources available for a problem, and thus push the limits of the problems that can be solved. Solving any particular problem in parallel will require some very important design decisions to be made. These decisions ma

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Willner, Marjorie Rose. "Environmental Analysis at the Nanoscale: From Sensor Development to Full Scale Data Processing." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/94644.

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Raman spectroscopy is an extremely versatile technique with molecular sensitivity and fingerprint specificity. However, the translation of this tool into a deployable technology has been stymied by irreproducibility in sample preparation and the lack of complex data analysis tools. In this dissertation, a droplet microfluidic platform was prototyped to address both sample-to-sample variation and to introduce a level of quantitation to surface enhanced Raman spectroscopy (SERS). Shifting the SERS workflow from a cell-to-cell mapping routine to the mapping of tens to hundreds of cells demanded

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Korziuk, Kamil, and Tomasz Podbielski. "Engineering Requirements for platform, integrating health data." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16089.

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In the world that we already live people are more and more on the run and population ageing significantly raise, new technologies are trying to bring best they can to meet humans’ expectations. Survey’s results, that was done during technology conference with elderly on Blekinge Institute of Technology showed, that no one of them has any kind of help in their home but they would need it. This Master thesis present human health state monitoring to focus on fall detection. Health care systems will not completely stop cases when humans are falling down, but further studying causes can prevent the

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Maas, Luis C. (Luis Carlos). "Processing strategies for functional magnetic resonance imaging data sets." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/85262.

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Thesis (Ph.D.)--Harvard--Massachusetts Institute of Technology Division of Health Sciences and Technology, 1999.<br>Includes bibliographical references (leaves 108-118).<br>by Luis Carlos Maas, III.<br>Ph.D.

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Iwaya, Leonardo H. "Secure and Privacy-aware Data Collection and Processing in Mobile Health Systems." Licentiate thesis, Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-46982.

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Healthcare systems have assimilated information and communication technologies in order to improve the quality of healthcare and patient's experience at reduced costs. The increasing digitalization of people's health information raises however new threats regarding information security and privacy. Accidental or deliberate data breaches of health data may lead to societal pressures, embarrassment and discrimination. Information security and privacy are paramount to achieve high quality healthcare services, and further, to not harm individuals when providing care. With that in mind, we give spe

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Gurung, Sanjaya. "Integrating environmental data acquisition and low cost Wi-Fi data communication." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc12131/.

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This thesis describes environmental data collection and transmission from the field to a server using Wi-Fi. Also discussed are components, radio wave propagation, received power calculations, and throughput tests. Measured receive power resulted close to calculated and simulated values. Throughput tests resulted satisfactory. The thesis provides detailed systematic procedures for Wi-Fi radio link setup and techniques to optimize the quality of a radio link.

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Harris, Jeff R. "Processing and integration of geochemical data for mineral exploration: Application of statistics, geostatistics and GIS technology." Thesis, University of Ottawa (Canada), 2002. http://hdl.handle.net/10393/6421.

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Geographic Information Systems (GIS) used in concert with statistical and geostatistical software provide the geologist with a powerful tool for processing, visualizing and analysing geoscience data for mineral exploration applications. This thesis focuses on different methods for analysing, visualizing and integrating geochemical data sampled from various media (rock, till, soil, humus), with other types of geoscience data. Different methods for defining geochemical anomalies and separating geochemical anomalies due to mineralization from other lithologic or surficial factors (i.e. true from

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Kishore, Annapoorni. "AN INTERNSHIP WITH ENVIRONMENTAL SYSTEMS RESEARCH INSTITUTE." Miami University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=miami1209153230.

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Das, Debalina. "Waterborne Diseases: Linking Public Health And Watershed Data." Amherst, Mass. : University of Massachusetts Amherst, 2009. http://scholarworks.umass.edu/theses/235/.

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Marchant, Christian C. "Retrieval of Aerosol Mass Concentration from Elastic Lidar Data." DigitalCommons@USU, 2010. https://digitalcommons.usu.edu/etd/812.

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Agricultural aerosol sources can contribute significantly to air pollution in many regions of the country. Characterization of the aerosol emissions of agricultural operations is required to establish a scientific basis for crafting regulations concerning agricultural aerosols. A new lidar instrument for measuring aerosol emissions is described, as well as two new algorithms for converting lidar measurements into aerosol concentration data. The average daily aerosol emission rate is estimated from a dairy using lidar. The Aglite Lidar is a portable scanning lidar for mapping the concentration

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Kratchman, Jessica. "Predicting Chronic Non-Cancer Toxicity Levels from Short-Term Toxicity Data." Thesis, The George Washington University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10263969.

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<p> This dissertation includes three separate but related studies performed in partial fulfillment of the requirements for the degree of Doctor of Public Health in Environmental and Occupational Health. The main goal this dissertation was to develop and assess quantitative relationships for predicting doses associated with chronic non-cancer toxicity levels in situations where there is an absence of chronic toxicity data, and to consider the applications of these findings to chemical substitution decisions. Data from National Toxicology Program (NTP) Technical Reports (TRs) (and where applicab

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Ying, Yujie. "A Data-Driven Framework for Ultrasonic Structural Health Monitoring of Pipes." Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/92.

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Cylindrical shells serve important roles in broad engineering applications, such as oil and natural gas pipelines, and pressurized industrial piping systems. To ensure the safety of pipe structures, various inspection equipment and platforms have been developed based on nondestructive testing (NDT) technologies. However, most existing approaches are time and labor intensive, and are only conducted intermittently. Drawbacks of current NDT methods suggest a proactive, automated and long-term monitoring system. Structural health monitoring (SHM) techniques continuously assess structural integrity

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Pentaris, Fragkiskos. "Digital signal processing for structural health monitoring of buildings." Thesis, Brunel University, 2014. http://bura.brunel.ac.uk/handle/2438/10560.

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Structural health monitoring (SHM) systems is a relatively new discipline, studying the structural condition of buildings and other constructions. Current SHM systems are either wired or wireless, with a relatively high cost and low accuracy. This thesis exploits a blend of digital signal processing methodologies, for structural health monitoring (SHM) and develops a wireless SHM system in order to provide a low cost implementation yet reliable and robust. Existing technologies of wired and wireless sensor network platforms with high sensitivity accelerometers are combined, in order to create

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Zinszer, Kate. "Predicting malaria in a highly endemic country using clinical and environmental data." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=123153.

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Malaria is a public health crisis, with between 154 and 289 million cases worldwide in 2011, 80% of which are in sub-Saharan Africa. International agencies have prioritized reduction of the malaria burden, investing an estimated $1.84 billion in 2012 alone in malaria control and prevention programs in malaria endemic countries. There has been a drastic increase in resources dedicated to malaria prevention and control efforts over the past decade. Malaria thrives in poor tropical and subtropical countries where local resources are limited. Accurate disease predictions and early warnings of incr

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Sharaf, Taysseer. "Statistical Learning with Artificial Neural Network Applied to Health and Environmental Data." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5866.

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The current study illustrates the utilization of artificial neural network in statistical methodology. More specifically in survival analysis and time series analysis, where both holds an important and wide use in many applications in our real life. We start our discussion by utilizing artificial neural network in survival analysis. In literature there exist two important methodology of utilizing artificial neural network in survival analysis based on discrete survival time method. We illustrate the idea of discrete survival time method and show how one can estimate the discrete model using ar

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Byrne, Patricia Hiromi. "Development of an advisory system for indoor radon mitigation." PDXScholar, 1991. https://pdxscholar.library.pdx.edu/open_access_etds/4263.

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A prototype hybrid knowledge-based advisory system for indoor radon mitigation has been developed to assist Pacific Northwest mitigators in the selection and design of mitigation systems for existing homes. The advisory system employs a heuristic inferencing strategy to determine which mitigation techniques are applicable, and applies procedural methods to perform the fan selection and cost estimation for particular techniques. The rule base has been developed employing knowledge in existing publications on radon mitigation. Additional knowledge has been provided by field experts. The benefits

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Yang, Shaojie. "A Data Augmentation Methodology for Class-imbalanced Image Processing in Prognostic and Health Management." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin161375046654683.

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Fritz, Godfried. "The relationship of sense of coherence to health and work in data processing personnel." Master's thesis, University of Cape Town, 1989. http://hdl.handle.net/11427/16845.

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Bibliography: pages 80-86.<br>The aim of the present study was to test a model of stress and to examine whether the theoretical construct of sense of coherence (SOC) moderated the relationship between stressors and health-related and work-related outcomes. This construct of SOC was identified by an Israeli medical sociologist, Antonovsky. He maintained that the current focus of research on stress is largely pathogenic in nature. He suggested that it would be of value to shift research more towards that which identifies the origins of health. He consequently developed the term "salutogenesis",

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Picard, Charlotte. "Climate change and dengue: analysis of historical health and environmental data for Peru." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=106459.

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Dengue, a mosquito-borne virual infection that is the most common cause of hemorrhagic fever globally, is rapidly spreading worldwide. An estimated 40% of the world's population is at risk for this disease that is transmitted by Aedes sp. mosquitos. The Aedes mosquito-dengue virus lifecycle varies with temperature, and climate change may increase the risk of Dengue epidemics in the future. This study examined whether changes in sea surface temperature (SST) along the Peruvian coast were associated with dengue incidence from 2002-2010. In Peru the effects of the El Niño cycle on weather conditi

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Ioannidou, Despoina. "Characterization of environmental inequalities due to Polyaromatic Hydrocarbons in France : developing environmental data processing methods to spatialize exposure indicators for PAH substances." Thesis, Paris, CNAM, 2018. http://www.theses.fr/2018CNAM1176/document.

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La réduction des inégalités d’exposition environnementale constitue un axe majeur en santé publique en France comme en témoignent les priorités des différents Plan Nationaux Santé Environnement (PNSE). L’objectif de cette thèse est de développer une approche intégrée pour la caractérisation des inégalités environnementales et l’évaluation de l’exposition spatialisée de la population aux HAP en France.Les données produites dans le cadre des réseaux de surveillance de la qualités des milieux environnementaux sont le reflet de la contamination réelle des milieux et de l’exposition globale des pop

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Maher, Elizabeth. "INVESTIGATION OF ENVIRONMENTAL CADMIUM SOURCES IN EASTERN KENTUCKY." UKnowledge, 2018. https://uknowledge.uky.edu/mng_etds/41.

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Utilizing data collected by the University of Kentucky Lung Cancer Research Initiative (LCRI), this study investigated potential mining-related sources for the elevated levels of cadmium in Harlan and Letcher counties. Statistical analyses for this study were conducted utilizing SAS. A number of linear regression models and logarithmic models were used to evaluate the significance of the data. The linear regression models consisted of both simple and multivariate types, with the simple models seeking to establish significance between the potential sources and urine cadmium levels and the multi

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Iakovidis, Iason. "On nonstationarity from operational and environmental effects in structural health monitoring bridge data." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/22569/.

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Structural Health Monitoring (SHM) describes a set of activities that can be followed in order to collect data from an existent structure, generate data-based information about its current condition, identify the presence of any signs of abnormality and forecast its future response. These activities, among others, include instrumentation, data acquisition, processing, generation of diagnostic tools, as well as transmission of information to engineers, owners and authorities. SHM and, more specifically, continuous monitoring can provide numerous measures, which can be generally classified into

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Kafle, Ram C. "Trend Analysis and Modeling of Health and Environmental Data: Joinpoint and Functional Approach." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5246.

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The present study is divided into two parts: the first is on developing the statistical analysis and modeling of mortality (or incidence) trends using Bayesian joinpoint regression and the second is on fitting differential equations from time series data to derive the rate of change of carbon dioxide in the atmosphere. Joinpoint regression model identifies significant changes in the trends of the incidence, mortality, and survival of a specific disease in a given population. Bayesian approach of joinpoint regression is widely used in modeling statistical data to identify the points in the tren

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Correia, Andrew William. "Estimating the Health Effects of Environmental Exposures: Statistical Methods for the Analysis of Spatio-temporal Data." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10828.

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In the field of environmental epidemiology, there is a great deal of care required in constructing models that accurately estimate the effects of environmental exposures on human health. This is because the nature of the data that is available to researchers to estimate these effects is almost always observational in nature, making it difficult to adequately control for all potential confounders - both measured and unmeasured. Here, we tackle three different problems in which the goal is to accurately estimate the effect of an environmental exposure on various health outcomes.

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Wong, Sze-nga, and 王絲雅. "The impact of electronic health record on diabetes management : a systematic review." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193850.

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Objectives: To investigate the impact of electronic health record (EHR) on diabetes management through examination of the effectiveness of implementation of EHR and to improve the quality of care and the cost-effectiveness on the use of EHR. Methods: Three databases, PubMed, Ovid Medline and Google Scholar, were searched with specific combination keywords including electronic medical record and electronic health record, and diabetes. Quality appraisal and extraction of data were conducted on literature that met with the inclusion criteria. Results: 10 literature studies, a total of 204,2

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Mxoli, Ncedisa Avuya Mercia. "Guidelines for secure cloud-based personal health records." Thesis, Nelson Mandela Metropolitan University, 2017. http://hdl.handle.net/10948/14134.

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Traditionally, health records have been stored in paper folders at the physician’s consulting rooms – or at the patient’s home. Some people stored the health records of their family members, so as to keep a running history of all the medical procedures they went through, and what medications they were given by different physicians at different stages of their lives. Technology has introduced better and safer ways of storing these records, namely, through the use of Personal Health Records (PHRs). With time, different types of PHRs have emerged, i.e. local, remote server-based, and hybrid PHRs.

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Wrable, Madeline. "Exploring the Association Between Remotely Sensed Environmental Parameters and Surveillance Disease Data| An Application to the Spatiotemporal Modelling of Schistosomiasis in Ghana." Thesis, Tufts University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10276352.

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<p> Schistosomiasis control in sub-Saharan Africa is enacted primarily through mass drug administration, where predictive modeling plays an important role in filling knowledge gaps in the distribution of disease burden. Remote sensing (RS) satellite imagery is used to predictively model infectious disease transmission in schistosomiasis, since transmission requires environmental conditions to sustain specific freshwater snail species. Surveys are commonly used to obtain health outcome data, and while they provide accurate estimates of disease in a specific time and place, the resources require

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Poon, Wai-yin, and 潘慧賢. "Review of the implementation of electronic health record in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B50257456.

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eHR is one of the main development area in healthcare sector to ensure a high quality and effective healthcare service in Hong Kong is provided. However, the present development of eHR in Hong Kong is mainly focused on public sectors healthcare providers – the hospitals and clinics under HA and DH. Most of the private hospitals and clinics are still using paper based health records. Although some of them may have implemented their own eHR systems, there is no interconnection among other healthcare providers. In this dissertation, the eHR system development in Hong Kong for both public and

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Kala, Abhishek K. "Spatially Explicit Modeling of West Nile Virus Risk Using Environmental Data." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc822841/.

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West Nile virus (WNV) is an emerging infectious disease that has widespread implications for public health practitioners across the world. Within a few years of its arrival in the United States the virus had spread across the North American continent. This research focuses on the development of a spatially explicit GIS-based predictive epidemiological model based on suitable environmental factors. We examined eleven commonly mapped environmental factors using both ordinary least squares regression (OLS) and geographically weighted regression (GWR). The GWR model was utilized to ascertain the i

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Pardue, Miranda Taylor. "Comparing Heatwave Related Mortality Data from Distressed Counties to Affluent Counties in Central and Southern Central Appalachia." Digital Commons @ East Tennessee State University, 2020. https://dc.etsu.edu/honors/583.

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The Appalachian Mountains are home to some of the most culturally rich places in the United States, but also some of the most impoverished communities as well. Several recent events support climate change across the globe. It is expected that Appalachian communities may suffer more dire consequences, as many communities lack strategies to help relieve some of the worst effects of climate change. Heatwaves are predicted to increase in duration and frequency over time, and communities that are not well prepared for the damaging effects of heatwaves can suffer unduly. This study aims to quantify

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Abdioskouei, Maryam. "Improving Air Quality Prediction Through Characterizing the Model Errors Using Data from Comprehensive Field Experiments." Thesis, The University of Iowa, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13420451.

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<p> Uncertainty in the emission estimates is one the main reasons for shortcomings in the Chemistry Transport Models (CTMs) which can reduce the confidence level of impact assessment of anthropogenic activities on air quality and climate. This dissertation focuses on understating the uncertainties within the CTMs and reducing these uncertainties by improving emission estimates </p><p> The first part of this dissertation focuses on reducing the uncertainties around the emission estimates from oil and Natural Gas (NG) operations by using various observations and high-resolution CTMs. To achiev

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Mallya, Shruti. "Modelling Human Risk of West Nile Virus Using Surveillance and Environmental Data." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35734.

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Limited research has been performed in Ontario to ascertain risk factors for West Nile Virus (WNV) and to develop a unified risk prediction strategy. The aim of the current body of work was to use spatio-temporal modelling in conjunction with surveillance and environmental data to determine which pre-WNV season factors could forecast a high risk season and to explore how well mosquito surveillance data could predict human cases in space and time during the WNV season. Generalized linear mixed modelling found that mean minimum monthly temperature variables and annual WNV-positive mosquito pools

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Dreyer, Anna Alexandra. "Likelihood and Bayesian signal processing methods for the analysis of auditory neural and behavioral data." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45908.

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Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2008.<br>Includes bibliographical references.<br>Developing a consensus on how to model neural and behavioral responses and to quantify important response properties is a challenging signal processing problem because models do not always adequately capture the data and different methods often yield different estimates of the same response property. The threshold, the first stimulus level for which a difference between baseline activity and stimulus-driven activity exists, is an example of such a response property for both

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Jokhadar, Hossam. "Comparison of the accuracy of fit of CAD/CAM crowns using three different data acquisition methods." Thesis, NSUWorks, 2013. https://nsuworks.nova.edu/hpd_cdm_stuetd/23.

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A thesis submitted to the College of Dental Medicine of Nova Southeastern University of the degree of Master of Science in Dentistry. Background. Earlier research evaluated the 3D internal fit of CAD/CAM crowns after direct versus indirect laser scanning. To date, no study has evaluated the marginal integrity of all-ceramic crowns milled with different type of scanning systems via different methods of scanning. The purpose of This study was conducted to assess the marginal integrity of all-ceramic crowns milled with the E4D CAD/CAM system (D4D, Richardson, Texas) using three different scanning

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Kress, Marin M. "Identification and use of indicator data to develop models for Marine-sourced risks in Massachusetts Bay." Thesis, University of Massachusetts Boston, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10118449.

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<p> The coastal watersheds around Massachusetts Bay are home to millions of people, many of whom recreate in coastal waters and consume locally harvested shellfish. Epidemiological data on food-borne illness and illnesses associated with recreational water exposure are known to be incomplete. Of major food categories, seafood has the highest recorded rate of associated foodborne illness. In total, the health impacts from these marine-sourced risks are estimated to cost millions of dollars each year in medical expenses or lost productivity. When recorded epidemiological data is incomplete it ma

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Cai, Beilei 1979. "Essays in health and environmental economics: Challenges in the empirical analysis of micro-level economic survey data." Thesis, University of Oregon, 2008. http://hdl.handle.net/1794/8505.

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xi, 108 p. A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number.<br>Micro-level survey data are widely used in applied economic research. This dissertation, which consists of three empirical papers, demonstrates challenges in empirical research using micro-level survey data, as well as some methods to accommodate these problems. Chapter II examines the effect of China's recent public health insurance reform on health utilization and health status. Chinese policy makers have been eager to identify how this reform, cha

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Carolan, Stephany. "Increasing adherence to digital mental health interventions delivered in the workplace." Thesis, University of Sussex, 2018. http://sro.sussex.ac.uk/id/eprint/79618/.

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Background: Work related stress, depression and anxiety are common. Despite evidence that these problems can be successfully treated in the workplace, take-up of psychological treatments by workers is low, resulting in many going untreated. One way to address this may be through the use of digital mental health interventions (DMHIs) in the workplace, but there is a lack of information about their appeal and effectiveness. Research questions: 1. What is the evidence for delivering DMHIs in the workplace? 2. What are the advantages and disadvantages to delivering DMHIs in the workplace? 3. What

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