Public-policy responsibilities in a restructured electricity industry

In this report, we identify and define the key public-policy values, objectives, and actions that the US electricity industry currently meets. We also discuss the opportunities for meeting these objectives in a restructured industry that relies primarily on market forces rather than on government mandates. And we discuss those functions that governments might undertake, presumably because they will not be fully met by a restructured industry on its own. These discussions are based on a variety of inputs. The most important inputs came from participants in an April 1995 workshop on Public-Policy Responsibilities and Electric Industry Restructuring: Shaping the Research Agenda. Other sources of information and insights include the reviews of a draft of this report by workshop participants and others and the rapidly growing literature on electric-industry restructuring and its implications. One of the major concerns about the future of the electricity industry is the fate of numerous social and environmental programs supported by today`s electric utilities. Many people worry that a market-driven industry may not meet the public-policy objectives that electric utilities have met in the past. Examples of potentially at-risk programs include demand-side management (DSM), renewable energy, low-income weatherization, and fuel diversity. Workshop participants represented electric utilities, public utility commissions (PUCs), state energy offices, public-interest groups, other energy providers, and the research community

A Life Cycle Analysis System to Support D and D, Pollution Prevention, and Asset Recovery

This paper describes a life cycle analysis system (LCAS) developed to support US Department of Energy (DOE) decision-making regarding deactivation and decommissioning (D and D), pollution prevention (P2), and asset recovery, and its deployment to analyze the disposition of facilities and capital assets. Originally developed for use at the Oak Ridge East Tennessee Technology Park, this approach has been refined through application at Ohio Operations Office sites and is now being deployed at a number of DOE sites. Programs such as National Metals Recycle, the D and D Focus Area, P2, and Asset Utilization are successfully using the system to make better decisions resulting in lower cost to the taxpayer and improved environmental quality. The LCAS consists of a user-friendly, cost-effective, and analytically-sound decision-aiding process and a complementary suite of automated tools to handle data administration and multiple criteria life cycle analysis (LCA). LCA is a systematic and comprehensive process for identifying, assessing, and comparing alternatives for D and D, P2, and asset recovery at government sites, and for selecting and documenting a preferred alternative. An LCA includes all of the impacts (benefits and costs) that result from a course of action over the entire period of time affected by the action. The system also includes visualizations that aid communication and help make decision-making transparent. The LCAS has three major components related to data collection, decision alternative assessment, and making the decisions. Each component is discussed in-depth using the example of deployment of the LCAS to support asset recovery

Persistence of the impact of the Hood River Conservation Project on typical and peak loads three years after weatherization

The Hood River Conservation Project (HRCP) was a major residential retrofit demonstration project, operated by Pacific Power & Light Company (Pacific Power) between 1984 and 1988, and funded by the Bonneville Power Administration (Bonneville). The project was designed to install as many cost-effective retrofit measures in as many electrically heated homes as possible in the community of Hood River, Oregon. The Pacific Power HRCP planners statistically selected a special group of 320 Hood River homes that represented a cross-section of the community. The end-use loads (electric space heating, electric water heating, and woodfuel space heating) and the interior temperatures of these homes were monitored for one year before weatherization and three years after weatherization. After more than four years of submetered data collection, 220 single-family, detached homes were available for analysis in the second load study. Weather was normalized for the four heating seasons by matching one day from the pre-program year with one day from each postretrofit year

P33. Expression of alpha v beta 3 integrin in patients with high and low grade glioma

Fuente Fuente, Carlos;Puig-Pey, J.;Buenaño Pastor, Manue

The Life Cycle Analysis Toolbox

The life cycle analysis toolbox is a valuable integration of decision-making tools and supporting materials developed by Oak Ridge National Laboratory (ORNL) to help Department of Energy managers improve environmental quality, reduce costs, and minimize risk. The toolbox provides decision-makers access to a wide variety of proven tools for pollution prevention (P2) and waste minimization (WMin), as well as ORNL expertise to select from this toolbox exactly the right tool to solve any given P2/WMin problem. The central element of the toolbox is a multiple criteria approach to life cycle analysis developed specifically to aid P2/WMin decision-making. ORNL has developed numerous tools that support this life cycle analysis approach. Tools are available to help model P2/WMin processes, estimate human health risks, estimate costs, and represent and manipulate uncertainties. Tools are available to help document P2/WMin decision-making and implement programs. Tools are also available to help track potential future environmental regulations that could impact P2/WMin programs and current regulations that must be followed. An Internet-site will provide broad access to the tools

Multiscale Drivers of Water Chemistry of Boreal Lakes and Streams

The variability in surface water chemistry within and between aquatic ecosystems is regulated by many factors operating at several spatial and temporal scales. The importance of geographic, regional-, and local-scale factors as drivers of the natural variability of three water chemistry variables representing buffering capacity and the importance of weathering (acid neutralizing capacity, ANC), nutrient concentration (total phosphorus, TP), and importance of allochthonous inputs (total organic carbon, TOC) were studied in boreal streams and lakes using a method of variance decomposition. Partial redundancy analysis (pRDA) of ANC, TP, and TOC and 38 environmental variables in 361 lakes and 390 streams showed the importance of the interaction between geographic position and regional-scale variables. Geographic position and regional-scale factors combined explained 15.3% (streams) and 10.6% (lakes) of the variation in ANC, TP, and TOC. The unique variance explained by geographic, regional, and local-scale variables alone was <10%. The largest amount of variance was explained by the pure effect of regional-scale variables (9.9% for streams and 7.8% for lakes), followed by local-scale variables (2.9% and 5.8%) and geographic position (1.8% and 3.7%). The combined effect of geographic position, regional-, and local-scale variables accounted for between 30.3% (lakes) and 39.9% (streams) of the variance in surface water chemistry. These findings lend support to the conjecture that lakes and streams are intimately linked to their catchments and have important implications regarding conservation and restoration (management) endeavors

Molecular and translational advances in meningiomas.

Meningiomas are the most common primary intracranial neoplasm. The current World Health Organization (WHO) classification categorizes meningiomas based on histopathological features, but emerging molecular data demonstrate the importance of genomic and epigenomic factors in the clinical behavior of these tumors. Treatment options for symptomatic meningiomas are limited to surgical resection where possible and adjuvant radiation therapy for tumors with concerning histopathological features or recurrent disease. At present, alternative adjuvant treatment options are not available in part due to limited historical biological analysis and clinical trial investigation on meningiomas. With advances in molecular and genomic techniques in the last decade, we have witnessed a surge of interest in understanding the genomic and epigenomic landscape of meningiomas. The field is now at the stage to adopt this molecular knowledge to refine meningioma classification and introduce molecular algorithms that can guide prediction and therapeutics for this tumor type. Animal models that recapitulate meningiomas faithfully are in critical need to test new therapeutics to facilitate rapid-cycle translation to clinical trials. Here we review the most up-to-date knowledge of molecular alterations that provide insight into meningioma behavior and are ready for application to clinical trial investigation, and highlight the landscape of available preclinical models in meningiomas

DNA methylation, transcriptome and genetic copy number signatures of diffuse cerebral WHO grade II/III gliomas resolve cancer heterogeneity and development

Background: Diffuse lower WHO grade II and III gliomas (LGG) are slowly progressing brain tumors, many of which eventually transform into a more aggressive type. LGG is characterized by widespread genetic and transcriptional heterogeneity, yet little is known about the heterogeneity of the DNA methylome, its function in tumor biology, coupling with the transcriptome and tumor microenvironment and its possible impact for tumor development. Methods: We here present novel DNA methylation data of an LGG-cohort collected in the German Glioma Network containing about 85% isocitrate dehydrogenase (IDH) mutated tumors and performed a combined bioinformatics analysis using patient-matched genome and transcriptome data. Results: Stratification of LGG based on gene expression and DNA-methylation provided four consensus subtypes. We characterized them in terms of genetic alterations, functional context, cellular composition, tumor microenvironment and their possible impact for treatment resistance and prognosis. Glioma with astrocytoma-resembling phenotypes constitute the largest fraction of nearly 60%. They revealed largest diversity and were divided into four expression and three methylation groups which only partly match each other thus reflecting largely decoupled expression and methylation patterns. We identified a novel G-protein coupled receptor and a cancer-related ‘keratinization’ methylation signature in in addition to the glioma-CpG island methylator phenotype (G-CIMP) signature. These different signatures overlap and combine in various ways giving rise to diverse methylation and expression patterns that shape the glioma phenotypes. The decrease of global methylation in astrocytoma-like LGG associates with higher WHO grade, age at diagnosis and inferior prognosis. We found analogies between astrocytoma-like LGG with grade IV IDH-wild type tumors regarding possible worsening of treatment resistance along a proneural-to-mesenchymal axis. Using gene signature-based inference we elucidated the impact of cellular composition of the tumors including immune cell bystanders such as macrophages. Conclusions: Genomic, epigenomic and transcriptomic factors act in concert but partly also in a decoupled fashion what underpins the need for integrative, multidimensional stratification of LGG by combining these data on gene and cellular levels to delineate mechanisms of gene (de-)regulation and to enable better patient stratification and individualization of treatment

An examination of multiple factors affecting community structure in an aquatic amphibian community

The potential effects of multiple factors structuring certain larval amphibian communities were studied using a pen experiment in a natural pond. Potential factors (predation and competition from other species) were allowed to act in a stepwise fashion such that their relative importance could be evaluated. Based on a previous study, it was hypothesized that predation by Ambystoma salamander larvae on other larval amphibian species would be the most important factor. Survival of Ambystoma jeffersonianum salamander larvae and Rana sylvatica tadpoles was significantly depressed only by Ambystoma opacum predation. Survival of Ambystoma maculatum salamander larvae was significantly greater in the absence of both A. opacum and A. jeffersonianum predators. The virtual elimination of Hyla chrysoscelis larvae in all treatments also can be largely attributed to Ambystoma predation. Thus, Ambystoma predation was the dominant factor determining larval survival of four amphibian prey species in the experimental communities.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47785/1/442_2004_Article_BF00324643.pd