LCA for Offshore Installations Decommissioning: Environmental Impact Assessment

In the upcoming years, many offshore oil and gas installations around the world will be decommissioned as they approach the end of their economic production lives. Offshore installations decommissioning brings along environmental impacts. However, there is minimal published information on environmental impact assessment of offshore decommissioning. Life-cycle assessment (LCA) is preferable to be used as it provides quantitative and structured comparisons between decommissioning options, while addressing environmental impacts simultaneously. The main objective of this study is to determine and to quantify the environmental impacts associated with decommissioning of an offshore platform in North Sea using LCA tools, process LCA and Economic Input Output(EIO-LCA). Two offshore decommissioning options are studied; complete removal and partial removal. The environmental impacts of offshore decommissioning concerned in this study are total energy consumption and gaseous emissions (CO2, SO2 and NOx). For this research, data from an estimation of the energy consumption and gaseous emission for decommissioning of an offshore platform in North Sea is used as input data for LCA analysis. Cost data for decommissioning is obtained from a published report on decommissioning insights and EIO model is constructed using online model. Results from both process LCA and EIO-LCA prove that partial removal is a better decommissioning option over complete removal in terms of energy consumption and gaseous emissions. The findings from this research provide a relative comparison between complete and partial removal that shall help the owners of platform to decide suitable decommissioning option. For future LCA analysis, it is recommended to have a complete set of detailed and up-to-date data to produce a more comprehensive results. Keywords: Offshore decommissioning; environmental impacts; life-cycle assessment; process LCA; EIO-LC

The impact of rising energy prices on the poor over time in the United States.

Policy makers and households are concerned about the impact of rising energy prices on low-income households. In a trend starting in the 1970s, low-income households are spending an increasingly disproportionate share of their income on home energy. The burden on a household imposed by energy prices can be analyzed through four factors: energy price, energy consumption, income level, and level of assistance provided to help with the costs of energy. The combination of these factors indicates that the energy burden is continuing to be disproportionately large for the nation's poor. Therefore, policy makers make further efforts to alleviate this burden by modifying energy pricing regulation

Legendre Moments Explorations via Image Reconstruction

A Thesis Submitted to the Faculty of Graduate Studies in Partial Ful.lment of the Requirements for the Degree of Master of Science, Department of Applied Computer Science, University of Winnipeg.Legendre Moment has been applied in image reconstruction since early years. In this research, a numerical integration method is proposed to improve the computational accuracy of Legendre moments. To clarify the improved computation scheme, image reconstructions from higher orders of Legendre moments, up to 240, are conducted. With the more accurate generated moments, the distributions of image information in a finite set of Legendre moments is investigated. We have concluded that each individual finite set of Legendre moments will represent the unique image features independently, while the even orders of Legendre moments describe most of image characteristics.Master of Science in Applied Computer Scienc

Pathway analysis of kidney cancer using proteomics and metabolic profiling

BACKGROUND: Renal cell carcinoma (RCC) is the sixth leading cause of cancer death and is responsible for 11,000 deaths per year in the US. Approximately one-third of patients present with disease which is already metastatic and for which there is currently no adequate treatment, and no biofluid screening tests exist for RCC. In this study, we have undertaken a comprehensive proteomic analysis and subsequently a pathway and network approach to identify biological processes involved in clear cell RCC (ccRCC). We have used these data to investigate urinary markers of RCC which could be applied to high-risk patients, or to those being followed for recurrence, for early diagnosis and treatment, thereby substantially reducing mortality of this disease. RESULTS: Using 2-dimensional electrophoresis and mass spectrometric analysis, we identified 31 proteins which were differentially expressed with a high degree of significance in ccRCC as compared to adjacent non-malignant tissue, and we confirmed some of these by immunoblotting, immunohistochemistry, and comparison to published transcriptomic data. When evaluated by several pathway and biological process analysis programs, these proteins are demonstrated to be involved with a high degree of confidence (p values < 2.0 E-05) in glycolysis, propanoate metabolism, pyruvate metabolism, urea cycle and arginine/proline metabolism, as well as in the non-metabolic p53 and FAS pathways. In a pilot study using random urine samples from both ccRCC and control patients, we performed metabolic profiling and found that only sorbitol, a component of an alternative glycolysis pathway, is significantly elevated at 5.4-fold in RCC patients as compared to controls. CONCLUSION: Extensive pathway and network analysis allowed for the discovery of highly significant pathways from a set of clear cell RCC samples. Knowledge of activation of these processes will lead to novel assays identifying their proteomic and/or metabolomic signatures in biofluids of patient at high risk for this disease; we provide pilot data for such a urinary bioassay. Furthermore, we demonstrate how the knowledge of networks, processes, and pathways altered in kidney cancer may be used to influence the choice of optimal therapy

Development of models of care coordination for rare conditions: a qualitative study.

INTRODUCTION: Improving care coordination for people with rare conditions may help to reduce burden on patients and carers and improve the care that patients receive. We recently developed a taxonomy of different ways of coordinating care for rare conditions. It is not yet known which models of care coordination are appropriate in different situations. This study aimed to: (1) explore what types of care coordination may be appropriate in different situations, and (2) use these findings to develop hypothetical models of care coordination for rare conditions. METHODS: To explore appropriateness of different types of care coordination, we conducted interviews (n = 30), four focus groups (n = 22) and two workshops (n = 27) with patients, carers, healthcare professionals, commissioners, and charity representatives. Participants were asked about preferences, benefits and challenges, and the factors influencing coordination. Thematic analysis was used to develop hypothetical models of care coordination. Models were refined following feedback from workshop participants. RESULTS: Stakeholders prefer models of care that: are nationally centralised or a hybrid of national and local care, involve professionals collaborating to deliver care, have clear roles and responsibilities outlined (including administrative, coordinator, clinical and charity roles), provide access to records and offer flexible appointments (in terms of timing and mode). Many factors influenced coordination, including those relating to the patient (e.g., condition complexity, patient's location and ability to coordinate their own care), the healthcare professional (e.g., knowledge and time), the healthcare environment (e.g., resources) and societal factors (e.g., availability of funding). We developed and refined ten illustrative hypothetical models of care coordination for rare conditions. CONCLUSION: Findings underline that different models of care coordination may be appropriate in different situations. It is possible to develop models of care coordination which are tailored to the individual in context. Findings may be used to facilitate planning around which models of care coordination may be appropriate in different services or circumstances. Findings may also be used by key stakeholders (e.g. patient organisations, clinicians and service planners) as a decision-making tool

Development of models of care coordination for rare conditions: a qualitative study.

INTRODUCTION: Improving care coordination for people with rare conditions may help to reduce burden on patients and carers and improve the care that patients receive. We recently developed a taxonomy of different ways of coordinating care for rare conditions. It is not yet known which models of care coordination are appropriate in different situations. This study aimed to: (1) explore what types of care coordination may be appropriate in different situations, and (2) use these findings to develop hypothetical models of care coordination for rare conditions. METHODS: To explore appropriateness of different types of care coordination, we conducted interviews (n = 30), four focus groups (n = 22) and two workshops (n = 27) with patients, carers, healthcare professionals, commissioners, and charity representatives. Participants were asked about preferences, benefits and challenges, and the factors influencing coordination. Thematic analysis was used to develop hypothetical models of care coordination. Models were refined following feedback from workshop participants. RESULTS: Stakeholders prefer models of care that: are nationally centralised or a hybrid of national and local care, involve professionals collaborating to deliver care, have clear roles and responsibilities outlined (including administrative, coordinator, clinical and charity roles), provide access to records and offer flexible appointments (in terms of timing and mode). Many factors influenced coordination, including those relating to the patient (e.g., condition complexity, patient's location and ability to coordinate their own care), the healthcare professional (e.g., knowledge and time), the healthcare environment (e.g., resources) and societal factors (e.g., availability of funding). We developed and refined ten illustrative hypothetical models of care coordination for rare conditions. CONCLUSION: Findings underline that different models of care coordination may be appropriate in different situations. It is possible to develop models of care coordination which are tailored to the individual in context. Findings may be used to facilitate planning around which models of care coordination may be appropriate in different services or circumstances. Findings may also be used by key stakeholders (e.g. patient organisations, clinicians and service planners) as a decision-making tool

Associations between parenting strategies and BMI percentile among Latino children and youth with intellectual and developmental disabilities

Introduction: Maintaining healthy weight is a challenge for all children, and particularly for children with IDD compared to nondisabled children and for Latino children compared to non-Latino White children. Parenting practices related to food intake and physical activity have been found to be important in maintaining children\u27s weight. In this study, we describe the prevalence of overweight and obesity status among Latino children with IDD and their maternal caregivers and determine the relationship between food and physical activity parenting practices and childhood obesity among Latino children with IDD. Methods: We interviewed 94 Latino parent/child dyads and collected information about parenting practices, home environment, and parent and child height and weight using standardized measures. Parent body mass index (BMI) and child BMI percentile were calculated from height and weight. Results: The combined overweight/obesity status for children in our sample was high (60.3%) compared to national rates among nondisabled Latino children (56%) and non-Latino White children with autism (37%). Contrary to research on nondisabled children, we found that greater parental use of controlling dietary strategies was associated with lower BMI percentile in Latino children with IDD. These findings may be indicative of the fact that children with IDD tend to have unique dietary behaviors that warrant more disability and culturally sensitive strategies. Discussion: Our findings suggest that overweight and obesity is especially prevalent for Latino children with IDD and that more research is needed on family factors that promote health in Latino families of children with IDD

Barriers to clinical adoption of next generation sequencing: Perspectives of a policy Delphi panel

AbstractThis research aims to inform policymakers by engaging expert stakeholders to identify, prioritize, and deliberate the most important and tractable policy barriers to the clinical adoption of next generation sequencing (NGS). A 4-round Delphi policy study was done with a multi-stakeholder panel of 48 experts. The first 2 rounds of online questionnaires (reported here) assessed the importance and tractability of 28 potential barriers to clinical adoption of NGS across 3 major policy domains: intellectual property, coverage and reimbursement, and FDA regulation. We found that: 1) proprietary variant databases are seen as a key challenge, and a potentially intractable one; 2) payer policies were seen as a frequent barrier, especially a perceived inconsistency in standards for coverage; 3) relative to other challenges considered, FDA regulation was not strongly perceived as a barrier to clinical use of NGS. Overall the results indicate a perceived need for policies to promote data-sharing, and a desire for consistent payer coverage policies that maintain reasonably high standards of evidence for clinical utility, limit testing to that needed for clinical care decisions, and yet also flexibly allow for clinician discretion to use genomic testing in uncertain circumstances of high medical need