30 research outputs found

    SB 1 - C.J.\u27s Law

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    The Act primarily functions to increase the penalty for drivers who cause death or serious bodily injury as a result of a vehicular accident and then flee the scene. Also known as C.J.’s Law, the Act establishes a maximum prison sentence of ten years for such a hit-and-run violation. In addition, the Act rewords and clarifies existing statutory language regarding license suspensions subsequent to reckless driving or driving under the influence of alcohol or drugs

    Diagnosing mucopolysaccharidosis IVA

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    Mucopolysaccharidosis IVA (MPS IVA; Morquio A syndrome) is an autosomal recessive lysosomal storage disorder resulting from a deficiency of N-acetylgalactosamine-6-sulfate sulfatase (GALNS) activity. Diagnosis can be challenging and requires agreement of clinical, radiographic, and laboratory findings. A group of biochemical genetics laboratory directors and clinicians involved in the diagnosis of MPS IVA, convened by BioMarin Pharmaceutical Inc., met to develop recommendations for diagnosis. The following conclusions were reached. Due to the wide variation and subtleties of radiographic findings, imaging of multiple body regions is recommended. Urinary glycosaminoglycan analysis is particularly problematic for MPS IVA and it is strongly recommended to proceed to enzyme activity testing even if urine appears normal when there is clinical suspicion of MPS IVA. Enzyme activity testing of GALNS is essential in diagnosing MPS IVA. Additional analyses to confirm sample integrity and rule out MPS IVB, multiple sulfatase deficiency, and mucolipidoses types II/III are critical as part of enzyme activity testing. Leukocytes or cultured dermal fibroblasts are strongly recommended for enzyme activity testing to confirm screening results. Molecular testing may also be used to confirm the diagnosis in many patients. However, two known or probable causative mutations may not be identified in all cases of MPS IVA. A diagnostic testing algorithm is presented which attempts to streamline this complex testing process

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    SB 1 - C.J.\u27s Law

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    The Act primarily functions to increase the penalty for drivers who cause death or serious bodily injury as a result of a vehicular accident and then flee the scene. Also known as C.J.’s Law, the Act establishes a maximum prison sentence of ten years for such a hit-and-run violation. In addition, the Act rewords and clarifies existing statutory language regarding license suspensions subsequent to reckless driving or driving under the influence of alcohol or drugs

    Immigration Law

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    This Article surveys cases from the United States Court of Appeals for the Eleventh Circuit from January 1, 2022 through December 31, 2022, in which immigration law was a central focus of the case. The Article begins with a discussion of cases addressing procedural and jurisdictional issues and the interpretation of decisions by lower and state courts. Then, the Article describes the Eleventh Circuit’s recent jurisprudence around discretionary relief from removal, asylum, and habeas corpus law
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