50 research outputs found

    \u3ci\u3eDeepsouth\u3c/i\u3e Will Rise Again—The Argument in Favor of the Federal Circuit\u27s Holding in \u3ci\u3ePromega Corp. v. Life Technologies\u3c/i\u3e

    Get PDF
    Two recent holdings from the United States Court of Appeals for the Federal Circuit in Promega Corp. v. Life Technologies Corp. have come under fire from members of the patent community. In Promega, the Federal Circuit held that i) 35 U.S.C. § 271(f)(1) does not require a third party to actively induce the combination of a patented invention, and ii) that a single component can be a substantial portion of the components of patented invention. In this Article, I argue that the Federal Circuit decided these issues correctly in light of the policy considerations that went into Congress\u27s enactment of 35 U.S.C. § 271(f) following the Supreme Court\u27s unpopular Deepsouth decision. I further argue that there is no requirement of knowledge of a patent to find inducement under § 271(f)(1), only knowledge of the infringing acts. Overturning these holdings would, in effect, have ushered in a return to the world immediately after the Deepsouth decision, before the implementation of 35 U.S.C. § 271(f)

    New Opportunities for Small-Scale Hydropower in Colorado

    Get PDF

    The Paralysis Paradox and the Untapped Role of Science in Solving “Big” “Environmental Problems

    Get PDF
    Part I considers the daunting scope and extent of the environmental problem addressed by the article. The “problem” consists of an enormous number of abandoned mines and AMLs in the West, affecting numerous rivers and watersheds, where the cost of mine cleanup seems astronomical, and the source of the money to pay for the cleanup elusive. In Part I, probability theory is used to assess the true scope of the AML problem, by estimating the impacts and risks to people and their environment. Part II addresses the state of current law as it applies to abandoned hardrock mines. A review of this law reveals that (1) it does not serve to correct or even deter the continuation of the problem, and (2) it in fact makes it far more difficult for good Samaritans or government entities to begin cleanup operations. Part III explains the “paralysis paradox,” which to date has prevented effective responses to the problem. Part IV offers alternative methodologies for policymakers to embrace as more realistic—science-and-math-based solutions to the problem. In Part IV, the AML problem is made more manageable through use of systems methodology, game theory, and chaos theory. Part V concludes by recommending a much simpler science-based approach, consistent with the Occam’s Razor principle, which steers clear of the paralysis paradox. Counterintuitively, this simpler approach of doing less has a more realistic chance of eventually doing more to correct the complex problem of abandoned mines

    Genome modeling system: A knowledge management platform for genomics

    Get PDF
    In this work, we present the Genome Modeling System (GMS), an analysis information management system capable of executing automated genome analysis pipelines at a massive scale. The GMS framework provides detailed tracking of samples and data coupled with reliable and repeatable analysis pipelines. The GMS also serves as a platform for bioinformatics development, allowing a large team to collaborate on data analysis, or an individual researcher to leverage the work of others effectively within its data management system. Rather than separating ad-hoc analysis from rigorous, reproducible pipelines, the GMS promotes systematic integration between the two. As a demonstration of the GMS, we performed an integrated analysis of whole genome, exome and transcriptome sequencing data from a breast cancer cell line (HCC1395) and matched lymphoblastoid line (HCC1395BL). These data are available for users to test the software, complete tutorials and develop novel GMS pipeline configurations. The GMS is available at https://github.com/genome/gms

    The genetic architecture of the human cerebral cortex

    Get PDF
    The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

    Finishing the euchromatic sequence of the human genome

    Get PDF
    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∌99% of the euchromatic genome and is accurate to an error rate of ∌1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

    Get PDF
    IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570
    corecore