1,778 research outputs found

    Detection of flour or farina from Triticum aestivum in macaroni by starch-gel electrophoresis of water-soluble proteins

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    A water-soluble protein component, A, has been found which appears without exception at a higher concentration in Triticum aestivum than in T. durum. Quantitation of A is achieved by referring the height of densitogram peak A to the height of peak B, which corresponds to a second component that is present in all varieties studied from both species. Extreme valúes of peak height ratio (PHR) in both species are tentatively established. On the basis of these valúes, the máximum and minimum possible contents of T. aestivum in a mixture are expressed as a function of PHR. All the varieties of T. aestivum studied are detected when they contribute more than 60% to the mixture. In over 90% of all possible binary combinations between varieties of T. aestivum and T. durum, the máximum proportion of undetected T. aestivum has been 30%

    Zastosowanie programu gwarancji dla zdrowia jamy ustnej w opiece nad kobietą w ciąży w rodzinnym centrum zdrowia w Concepción, Chile, w latach 2014–2015

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    Indexación: Scopus.Background. Oral health plays a crucial role in general health, quality of life and well-being of pregnant women and their newborns. In Chile, pregnant women have dental care guaranteed by law. However, due to the lack of previous epidemiological studies on the benefits of this guarantee, it is necessary to describe this situation and evaluate the need to change the methods of providing dental services. Objectives. The objective of this study was to describe the pattern of providing dental benefits resulting from the Explicit Health Guarantee – Integral Oral Health in Pregnant Women (GES-SOIE) program to pregnant women attending the Juan Soto Fernández Family Health Center, Concepción, Chile, in 2014–2015. Material and methods. A cross-sectional study of the electronic dental records of patients admitted to GES-SOIE was conducted. The variables studied were sociodemographic data, dental chair hours, non-attendance, treatment completion, and the type of referral to secondary healthcare (SHC). Results. Of 233 pregnant women, 65.2% were registered for non-attendance, 21.2% required referral to SHC and 76.4% completed their treatment. When performing logistic regression, it was found that for each non-attendance the chance of not completing the treatment increased 1.4 times. Conclusions. The level of non-attendance and opting out of the treatment in pregnant women is high, which hinders the proper functioning and effectiveness of GES-SOIE. © 2018 by Wroclaw Medical University and Polish Dental Society.http://www.dmp.umed.wroc.pl/en/article/2018/55/2/179

    Current-induced spin polarization in InGaAs and GaAs epilayers with varying doping densities

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    The current-induced spin polarization and momentum-dependent spin-orbit field were measured in Inx_{x}Ga1−x_{1-x}As epilayers with varying indium concentrations and silicon doping densities. Samples with higher indium concentrations and carrier concentrations and lower mobilities were found to have larger electrical spin generation efficiencies. Furthermore, current-induced spin polarization was detected in GaAs epilayers despite the absence of measurable spin-orbit fields, indicating that the extrinsic contributions to the spin polarization mechanism must be considered. Theoretical calculations based on a model that includes extrinsic contributions to the spin dephasing and the spin Hall effect, in addition to the intrinsic Rashba and Dresselhaus spin-orbit coupling, are found to qualitatively agree with the experimental results.Comment: 16 pages, 8 figure

    Soluções simples para armazenar hortaliças nos pontos de venda.

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    Comparing UK and 20 Western countries' efficiency in reducing adult (55-74) cancer and total mortality rates 1989-2010: Cause for cautious celebration? A population-based study.

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    OBJECTIVE: Every Western nation expends vast sums on health, especially for cancer; thus, the question is how efficient is the UK in reducing adult (55-74) cancer mortality rates and total mortality rates (TMR) compared to the other Western nations in the context of economic-input to health, the percentage of Gross-Domestic-Product-expenditure-on-Health. DESIGN: WHO mortality rates for baseline 3 years 1989-1991 and 2008-2010 were analysed, and confidence intervals determine any significant differences between the UK and other countries in reducing the mortalities. Efficiency ratios are calculated by dividing reduced mortality over the period by the average % of national income. SETTING: Twenty-one similar socio-economic Western countries. PARTICIPANTS: The 21 countries' general population. MAIN OUTCOME MEASURES: Cancer mortality rates, total mortality rates Gross Domestic Product and Efficiency Ratios. RESULTS: Economic Input: In 1980, UK national income was 5.6% and the European average was 7.1%. By 2010, UK national income was 9.4% being equal 17th of 21 averaging 7.1% over the period. Europe's 1980-2010 average of 8.4% yields a UK to Europe ratio of 1:1.18. Clinical output 1989-2010: UK Cancer Mortality Rates was the sixth highest, but equal sixth biggest fall, significantly greater than 14 other countries. UK Total Mortality Rates was the fifth highest but third biggest decline, significantly greater than 17 countries. UK's cancer Efficiency Ratios is largest at 1:301 and second biggest for Total Mortality Rates at 1.1341; the USA ratios were 1:152 and 1:525, respectively. CONCLUSIONS: UK reduced mortalities indicate that the NHS achieves proportionally more with relatively less, but UK needs to match European average Gross-Domestic-Product-expenditure-on-Health to meet future challenges

    Scalable Joint Detection and Segmentation of Surgical Instruments with Weak Supervision

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    Computer vision based models, such as object segmentation, detection and tracking, have the potential to assist surgeons intra-operatively and improve the quality and outcomes of minimally invasive surgery. Different work streams towards instrument detection include segmentation, bounding box localisation and classification. While segmentation models offer much more granular results, bounding box annotations are easier to annotate at scale. To leverage the granularity of segmentation approaches with the scalability of bounding box-based models, a multi-task model for joint bounding box detection and segmentation of surgical instruments is proposed. The model consists of a shared backbone and three independent heads for the tasks of classification, bounding box regression, and segmentation. Using adaptive losses together with simple yet effective weakly-supervised label inference, the proposed model use weak labels to learn to segment surgical instruments with a fraction of the dataset requiring segmentation masks. Results suggest that instrument detection and segmentation tasks share intrinsic challenges and jointly learning from both reduces the burden of annotating masks at scale. Experimental validation shows that the proposed model obtain comparable results to that of single-task state-of-the-art detector and segmentation models, while only requiring a fraction of the dataset to be annotated with masks. Specifically, the proposed model obtained 0.81 weighted average precision (wAP) and 0.73 mean intersection-over-union (IOU) in the Endovis2018 dataset with 1% annotated masks, while performing joint detection and segmentation at more than 20 frames per second
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