Sequential assessment

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  • The purposes: Identify the morphological characteristics of day 3 and day 5 embryos cultured in vitro; assess the morphological correlations of day 3 and day 5 embryos and initially evaluated results of sequential embryo selection in culturing the day 3 and day 5 embryos.

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  • Property Taxes Available for School Districts Expected to Grow Faster Than Assessed Value. We expect local property taxes that go to K-12 and community college districts— revenues that generally offset state spending—to grow faster than statewide assessed value, for two reasons. First, local school property taxes benefit in the near term due to the dissolution of redevelopment agencies (RDAs) because a portion of property taxes that went to these agencies in recent years is now distributed to other local governments, including schools and community colleges.

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  • To solve these problems, the SEQ and PREDATOR systems introduce a spe- cial sublanguage, called SEQUINfor queries on sequences [Seshadri et al. 1994, 1995; Seshadri 1998]. SEQUIN works on sequences in combination with SQL working on standard relations; query blocks from the two languages can be nested inside each other, with the help of directives for converting data be- tween the blocks.

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  • Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Assessment and histological analysis of the IPRL technique for sequential in situ liver biopsy...

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  • Poor mental health in childhood is strongly linked to poor men- tal health later in life and has been shown to have a serious impact on life chances (Richard and Abbott, 2009). Mental health prob- lems may impact on human capital accumulation by reducing both the amount of schooling and the productivity level, which may in turn have lifelong consequences for employment, income and other outcomes (Eisenberg, Golberstein, and Hunt, 2009).

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  • Medicine without statistics is quackery; statistics without medicine is numerology. Perhaps this is the main reason why clinicians should care about statistics. Statistics in medicine began in the early nineteenth century (it was called “the numerical method” then) and its debut involved disproving the most common and widely accepted medical treatment for millennia: bleeding. From ancient Rome until 1900, all physicians – from Galen to Avicenna to Benjamin Rush – strongly and clearly advocated bleeding as the treatment for most medical illnesses.

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  • Determination of periodontal diagnosis and the extent and severity of periodontal tissue damage through standard periodontal assessment has traditionally been based on an array of clinical measurements, including probing depth (PD), clinical attachment level (CAL), bleeding on probing (BOP), plaque index (PI) and radiographic findings.

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  • The approach to assessing climate risks and im- pacts consists of the following sequential steps: (1) determining climate variables at the level of the city/watershed through downscaling techniques; (2) estimating impacts and vulnerability through hydrometeorological modeling, scenario analysis, and GIS mapping; and (3) preparing a damage/ loss assessment and identification/prioritization of adaptation options. As a first step, each of the city-level studies considered two IPCC scenarios, a high- and a low- emissions scenario, 4 and estimated climate risks to 2050.

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  • As the origin of a life-and-death signal detected from systemic arterial pressure, which sequentially increases (pro-life) and decreases (pro-death) to reflect progressive dysfunction of central cardiovascular regulation during the advancement towards brain stem death in critically ill patients, the rostral ventrolateral medulla (RVLM) is a suitable neural substrate for mechanistic delineation of this fatal phenomenon.

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  • The developed technique involves contrast enhancement using sequentially iterative smoothing filters, histogram equalization, and simultaneous application of two types of edge detection processes namely, maximum-difference edge detection [3] and Canny’s edge detection [4]. The post processed image is combined with the original image to accentuate the edges while eliminating noise. Smoothing is implemented because of its effect to reduce specific types of noise signals in the digitized image.

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