214 research outputs found

    The Specter of Malpractice: When Law Firm General Counsel and Risk Management Professionals Are Confronted with Potential Malpractice Claims and Ethics Violations

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    Every day, law firm general counsel and other law firm risk management professionals face a very practical, very vexing problem. The problem is what to do when hearing that a serious ethical mistake or impropriety may have occurred—but without any concrete confirmation that something problematic has, in fact, happened. This essay discusses the most important initial steps and questions that the firm’s general counsel or other risk management professional must address in this confounding situation where the “specter of malpractice” is present. We call this the “specter of malpractice” because a malpractice claim has not yet fully materialized (and it is not entirely clear that one will materialize), but enough risk factors have surfaced to capture the risk management team’s attention. Included among these important and difficult questions are: Could this type of mistake constitute an ethics violation or a future malpractice claim? What duty does a firm’s general counsel or risk management professional have to investigate the situation? What action is required with respect to the firm’s legal malpractice insurer and when should the law firm take that action? What action is required with respect to the law firm’s clients and when should the law firm take that action? We answer these questions in our short (under 5,000 words) essay, reminding our readers that “an ounce of prevention is worth a pound of cure.

    Deep learning for inferring cause of data anomalies

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    Daily operation of a large-scale experiment is a resource consuming task, particularly from perspectives of routine data quality monitoring. Typically, data comes from different sub-detectors and the global quality of data depends on the combinatorial performance of each of them. In this paper, the problem of identifying channels in which anomalies occurred is considered. We introduce a generic deep learning model and prove that, under reasonable assumptions, the model learns to identify 'channels' which are affected by an anomaly. Such model could be used for data quality manager cross-check and assistance and identifying good channels in anomalous data samples. The main novelty of the method is that the model does not require ground truth labels for each channel, only global flag is used. This effectively distinguishes the model from classical classification methods. Being applied to CMS data collected in the year 2010, this approach proves its ability to decompose anomaly by separate channels.Comment: Presented at ACAT 2017 conference, Seattle, US

    Chiasma

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    Newspaper reporting on events at the Boston University School of Medicine in the 1960s

    Tuberous sclerosis complex exhibits a new renal cystogenic mechanism

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    Tuberous sclerosis complex (TSC) is a tumor predisposition syndrome with significant renal cystic and solid tumor disease. While the most common renal tumor in TSC, the angiomyolipoma, exhibits a loss of heterozygosity associated with disease, we have discovered that the renal cystic epithelium is composed of type A intercalated cells that have an intact Tsc gene that have been induced to exhibit Tsc‐mutant disease phenotype. This mechanism appears to be different than that for ADPKD. The murine models described here closely resemble the human disease and both appear to be mTORC1 inhibitor responsive. The induction signaling driving cystogenesis may be mediated by extracellular vesicle trafficking.TSC renal cystic disease develops in about half of the patients. The disease appears to caused by an induction mechanism such that a small population of mutant cells can cause significant renal cystic disease comprised of mostly genetically normal cells.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/147796/1/phy213983.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/147796/2/phy213983_am.pd

    Glomerulocystic kidney disease

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    Glomerulocystic disease is a rare renal cystic disease with a long descriptive history. Findings from recent studies have significantly advanced the pathophysiological understanding of the disease processes leading to this peculiar phenotype. Many genetic syndromes associated with glomerulocystic disease have had their respective proteins localized to primary cilia or centrosomes. Transcriptional control of renal developmental pathways is dysregulated in obstructive diseases that also lead to glomerulocystic disease, emphasizing the importance of transcriptional choreography between renal development and renal cystic disease

    Genomic Diversity in Two Related Plant Species with and without Sex Chromosomes - Silene latifolia and S. vulgaris

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    Genome size evolution is a complex process influenced by polyploidization, satellite DNA accumulation, and expansion of retroelements. How this process could be affected by different reproductive strategies is still poorly understood.We analyzed differences in the number and distribution of major repetitive DNA elements in two closely related species, Silene latifolia and S. vulgaris. Both species are diploid and possess the same chromosome number (2n = 24), but differ in their genome size and mode of reproduction. The dioecious S. latifolia (1C = 2.70 pg DNA) possesses sex chromosomes and its genome is 2.5× larger than that of the gynodioecious S. vulgaris (1C = 1.13 pg DNA), which does not possess sex chromosomes. We discovered that the genome of S. latifolia is larger mainly due to the expansion of Ogre retrotransposons. Surprisingly, the centromeric STAR-C and TR1 tandem repeats were found to be more abundant in S. vulgaris, the species with the smaller genome. We further examined the distribution of major repetitive sequences in related species in the Caryophyllaceae family. The results of FISH (fluorescence in situ hybridization) on mitotic chromosomes with the Retand element indicate that large rearrangements occurred during the evolution of the Caryophyllaceae family.Our data demonstrate that the evolution of genome size in the genus Silene is accompanied by the expansion of different repetitive elements with specific patterns in the dioecious species possessing the sex chromosomes
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