Understanding Causation and Threshold of Release in CERCLA Liability: The Difference Between Single- and Multi-Polluter Contexts

Toxic waste has become an increasing public health problem in America.\u27 Congress enacted the Comprehensive Environmental Response, Compensation and Liability Act CCERCLA or the Ace) in 1980, as a means to improve the efficiency of hazardous waste site cleanups. CERCLA encourages parties to clean up toxic sites by allowing those parties to recover response costs from potentially responsible parties (TRPs ). To accomplish this goal, CERCLA contains an expansive liability scheme that imposes strict liability on, among others, a party that has released or threatened release of a toxic substance that has caused or may cause the incurrence of response costs. Liability under CERCLA may be joint or several. CERCLA is notoriously ambiguous, leaving many questions open to judicial interpretation. This Note, for instance, addresses the issue of whether CERCLA\u27s strict liability scheme includes a causation or minimum threshold of release element or defense. Courts and commentators have taken different approaches and views on this issue. While the Supreme Court has not addressed this issue, the question is significant because the burden of establishing liability affects the speed and efficiency with which toxic waste sites are cleaned

FPIC and geoengineering in the future of Scandinavia

This chapter focuses on procedural and intergenerational justice within the context of solar radiation management and ice-geoengineering in the Arctic. Research has framed geoengineering as an option to avoid the more disastrous consequences of climate change in the Arctic, but the development and potential application of geoengineering in the Arctic may affect Indigenous participation. Indeed, thus far there has been very limited dialogue and engagement on geoengineering research and development with Arctic Indigenous peoples. The challenge is to ensure Indigenous participation in this highly complex issue, as the current legal framework for participation may be ill-equipped to deal with the introduction of geoengineering and intergenerational justice. Thus, the introduction of geoengineering equally has the potential to exacerbate structural injustices, especially as it will impact the dynamics of justice and what is typically required of justice as a legal concept. As more state and non-state actors engage with this concept, this chapter reflects on the legitimate concerns raised over transparency, Indigenous consent and intergenerational justice where the implementation of geoengineering is concerned, and it examines the free, prior and informed consent procedure (FPIC) as a potential step towards addressingpublishedVersio

Mold susceptibility of rapidly renewable materials used in wall construction

Since 1998, the United States Green Building Council, via the Leadership in Energy and Environmental Design (LEED) standards, has established the premiere set of guidelines for construction ethics from the standpoint of eco-friendliness and occupant safety and health in the U.S. and around the world. These guidelines are skyrocketing in use due in part to two reasons: · increased awareness of a need for reducing, reusing, and recycling in order to save resources and natural areas for future generations; and, · increased amount of time spent indoors in work places and homes. The LEED guidelines encourage sustainable and responsible use of land, water, energy, and materials, and promote a safe and healthy environment through use of innovative designs and technology. As part of the responsible use of materials, the LEED guidelines encourage the use of rapidly renewable materials such as cotton, straw, wool, and cork as insulation products. Although these products can be produced naturally and quickly from nature, they are also cellulose or carbohydrate based products. Cellulose and carbohydrate based materials are typically optimal food sources for mold in the presence of moisture, ironically destroying facilities and creating poor living and work environments. Samples of wool, cork, straw, and cotton--rapidly renewable materials used as exterior wall insulation products--were exposed to different moisture amounts in an encapsulated environment, representing the environment within a wall cavity when exposed to water from pipes, leaks, condensation and absorption, or from initial construction. The samples were monitored over time for mold growth. The data logged from the samples were analyzed to determine the degree of mold susceptibility of each material. In addition, samples with increased amounts of moisture were examined to determine increased promotion of mold growth. The results from this study showed that all of the above mentioned materials were highly susceptible to mold growth and that the moisture amount did not increase the rate of mold growth. Based on the data collected from this study, recommendations were made to review the current use of rapidly renewable and other cellulose and carbohydrate based materials in wall construction

Spectra of Uniform Hypergraphs

We present a spectral theory of hypergraphs that closely parallels Spectral Graph Theory. A number of recent developments building upon classical work has led to a rich understanding of "hyperdeterminants" of hypermatrices, a.k.a. multidimensional arrays. Hyperdeterminants share many properties with determinants, but the context of multilinear algebra is substantially more complicated than the linear algebra required to address Spectral Graph Theory (i.e., ordinary matrices). Nonetheless, it is possible to define eigenvalues of a hypermatrix via its characteristic polynomial as well as variationally. We apply this notion to the "adjacency hypermatrix" of a uniform hypergraph, and prove a number of natural analogues of basic results in Spectral Graph Theory. Open problems abound, and we present a number of directions for further study.Comment: 32 pages, no figure

Rescue of splicing-mediated intron loss maximizes expression in lentiviral vectors containing the human ubiquitin C promoter.

Lentiviral vectors almost universally use heterologous internal promoters to express transgenes. One of the most commonly used promoter fragments is a 1.2-kb sequence from the human ubiquitin C (UBC) gene, encompassing the promoter, some enhancers, first exon, first intron and a small part of the second exon of UBC. Because splicing can occur after transcription of the vector genome during vector production, we investigated whether the intron within the UBC promoter fragment is faithfully transmitted to target cells. Genetic analysis revealed that more than 80% of proviral forms lack the intron of the UBC promoter. The human elongation factor 1 alpha (EEF1A1) promoter fragment intron was not lost during lentiviral packaging, and this difference between the UBC and EEF1A1 promoter introns was conferred by promoter exonic sequences. UBC promoter intron loss caused a 4-fold reduction in transgene expression. Movement of the expression cassette to the opposite strand prevented intron loss and restored full expression. This increase in expression was mostly due to non-classical enhancer activity within the intron, and movement of putative intronic enhancer sequences to multiple promoter-proximal sites actually repressed expression. Reversal of the UBC promoter also prevented intron loss and restored full expression in bidirectional lentiviral vectors

Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information

BACKGROUND: The rapid publication of important research in the biomedical literature makes it increasingly difficult for researchers to keep current with significant work in their area of interest. RESULTS: This paper reports a scalable method for the discovery of protein-protein interactions in Medline abstracts, using a combination of text analytics, statistical and graphical analysis, and a set of easily implemented rules. Applying these techniques to 12,300 abstracts, a precision of 0.61 and a recall of 0.97 were obtained, (f = 0.74) and when allowing for two-hop and three-hop relations discovered by graphical analysis, the precision was 0.74 (f = 0.83). CONCLUSION: This combination of linguistic and statistical approaches appears to provide the highest precision and recall thus far reported in detecting protein-protein relations using text analytic approaches

Prospectus, September 7, 2000

https://spark.parkland.edu/prospectus_2000/1021/thumbnail.jp

AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number

<p>Abstract</p> <p>Background</p> <p>Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the underlying structure of these natural datasets is often fuzzy, and the computational identification of data clusters generally requires knowledge about cluster number and geometry.</p> <p>Results</p> <p>We integrated strategies from machine learning, cartography, and graph theory into a new informatics method for automatically clustering self-organizing map ensembles of high-dimensional data. Our new method, called AutoSOME, readily identifies discrete and fuzzy data clusters without prior knowledge of cluster number or structure in diverse datasets including whole genome microarray data. Visualization of AutoSOME output using network diagrams and differential heat maps reveals unexpected variation among well-characterized cancer cell lines. Co-expression analysis of data from human embryonic and induced pluripotent stem cells using AutoSOME identifies >3400 up-regulated genes associated with pluripotency, and indicates that a recently identified protein-protein interaction network characterizing pluripotency was underestimated by a factor of four.</p> <p>Conclusions</p> <p>By effectively extracting important information from high-dimensional microarray data without prior knowledge or the need for data filtration, AutoSOME can yield systems-level insights from whole genome microarray expression studies. Due to its generality, this new method should also have practical utility for a variety of data-intensive applications, including the results of deep sequencing experiments. AutoSOME is available for download at <url>http://jimcooperlab.mcdb.ucsb.edu/autosome</url>.</p