8,384 research outputs found

    Behavioral Genetics Research and Criminal DNA Databases

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    Kaye discusses DNA databanks and the potential use of such databanks for behavioral genetics research. He addresses the concern that DNA databanks serve as a limitless repository for future research and that the samples used in the databanks could be used for research into a crime gene

    Quality of midwifery care in Soroti District, Uganda

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    Objectives: To determine the quality of care provided by midwives in Soroti district; and specifically, to identify training needs, gaps in knowledge and other barriers to accessibility of emergency obstetric care (EmOC) services in Soroti district.Design: Cross-sectional descriptive study.Setting: One regional hospital, one district hospital, two health centres and four dispensaries, all health units in the district.Subjects: Patients admitted in the health units with pregnancy complications; attendants of patients (above); midwives delivering health care at the health units; pregnant women exiting from (after attending) antenatal clinics; and health unit records.Interventions: Participatory observation, midwife and client interviews, records review, facility assessment and focus group discussions with clients and patients.Main outcome measures: Ability of midwives to provide antenatal care of a minimum standard, or recall causes, signs, symptoms or the management of common obstetric complications; and patients and patient attendantsā€™ perception of care received.Results: Many midwives were providing care of poor quality for both antenatal and delivery care due to their inability to identify and manage women with or at risk of pregnancy complications.Conclusion: The main factors identified as responsible for the poor quality of care were inadequate pre-service and in-service training, lack of technical support supervision and absence of standard treatment guidelines

    The quantum correlation between the selection of the problem and that of the solution sheds light on the mechanism of the quantum speed up

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    In classical problem solving, there is of course correlation between the selection of the problem on the part of Bob (the problem setter) and that of the solution on the part of Alice (the problem solver). In quantum problem solving, this correlation becomes quantum. This means that Alice contributes to selecting 50% of the information that specifies the problem. As the solution is a function of the problem, this gives to Alice advanced knowledge of 50% of the information that specifies the solution. Both the quadratic and exponential speed ups are explained by the fact that quantum algorithms start from this advanced knowledge.Comment: Earlier version submitted to QIP 2011. Further clarified section 1, "Outline of the argument", submitted to Phys Rev A, 16 page

    Halo ratio from ground based all-sky imaging

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    Ā© Author(s) 2019.The halo ratio (HR) is a quantitative measure characterizing the occurrence of the 22 halo peak associated with cirrus. We propose to obtain it from an approximation to the scattering phase function (SPF) derived from allsky imaging. Ground-based fisheye cameras are used to retrieve the SPF by implementing the necessary image transformations and corrections. These consist of geometric camera characterization by utilizing positions of known stars in a camera image, transforming the images from the zenithcentred to the light-source-centred system of coordinates and correcting for the air mass and for vignetting, the latter using independent measurements from a sun photometer. The SPF is then determined by averaging the image brightness over the azimuth angle and the HR by calculating the ratio of the SPF at two scattering angles in the vicinity of the 22Ā° halo peak. In variance from previous suggestions we select these angles to be 20 and 23Ā°, on the basis of our observations. HR time series have been obtained under various cloud conditions, including halo cirrus, non-halo cirrus and scattered cumuli. While the HR measured in this way is found to be sensitive to the halo status of cirrus, showing values typically > 1 under halo-producing clouds, similar HR values, mostly artefacts associated with bright cloud edges, can also be occasionally observed under scattered cumuli. Given that the HR is an ice cloud characteristic, a separate cirrus detection algorithm is necessary to screen out non-ice clouds before deriving reliable HR statistics. Here we propose utilizing sky brightness temperature from infrared radiometry: Both its absolute value and the magnitude of fluctuations obtained through detrended fluctuation analysis. The brightness temperature data permit the detection of cirrus in most but not all instances.Peer reviewe

    Space processes for extended low-G testing

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    Results of an investigation of verifying the capabilities of space processes in ground based experiments at low-g periods are presented. Limited time experiments were conducted with the processes. A valid representation of the complete process cycle was achieved at low-g periods ranging from 40 to 390 seconds. A minimum equipment inventory, is defined. A modular equipment design, adopted to assure low cost and high program flexibility, is presented as well as procedures and data established for the synthesis and definition of dedicated and mixed rocket payloads

    Climatic and eustatic controls on the development of a Late Triassic source rock in the Jameson Land Basin, East Greenland

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    This work was undertaken as part of the continuing work of CASP in East Greenland. The sponsoring companies are thanked for their continued support of this work. Help in the field by T. Kinnaird and useful discussions with A. Whitham are gratefully acknowledged. The reviews of L. Clemmensen and an anonymous reviewer, and the input from S. Jones led to improvements to the original paper.Peer reviewedPostprin

    Apples and Oranges: Confidence Coefficients and the Burden of Persuasion

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    The Constitutionality of DNA Sampling on Arrest

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    Statistics for Lawyers and Law for Statistics

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    A Review of Statistics for Lawyers by Michael O. Finkelstein and Bruce Levi
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