9 research outputs found

    Representasi Logo Asuransi Jiwa Bersama Bumiputera 1912 Sebagai Bentuk Identitas Perusahaan

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    The insurance business competition more stringent, demanding parties service Insurance company program provider to review thinking return mission and business strategy good, then it is possible the company will Losing hearts of competition. AJB Bumiputera 1912 using the logo change of strategy development. Changing the logo mean change the image and that's an opportunity to review the management for improve the company's image in the eyes of the competitors. Where the AJB Bumiputera1912 this has lot of rivals such as Life Insurance, Foreign-Owned Insurance And other private owned also, in order to bring a fresh impression and is not oldies so, AJB Bumiputera parties to replace the old logo as a Form of Coorporate Identity. The Objective knows signs meaning, objects, intepretant of Life Insurance logo with Bumiputera 1912.The Research using qualitative research methods and backed with analysis theory of semiotics of Charles Sanders Pierce. The subject research is determined by purposive sampling technique which consists differences and divisions of public relations division commuication Part Of AJB Bumiputera 1912. The data collection techniques include interviews, observation, documentation and analysis framework. The analaysis used the tachniques based analysis of researchers (the argument researchers) wich is based on concepts and a theories that are relevant. Data analysis technique used is the analysis of semiology The Charles Sanders Peirce with triadic model, where signs, objects and Interpretations have meet each other relationships and excess with strength checks the validity of data is done using triangulation techniques.The Results of research is indicates From logo 1912 is overall from all signs the elements in hearts the basic foundation logo 1912 What has meaning symbolizes power, dignity and strength, object of logo life insurance with Bumiputera 1912. A sign of the minds of thought of record logo for the review creates logos a new and interpretan from logo life insurance with Bumiputera 1912 are from purport of everything process of achieving the sense of delivered by a shape signs, and the elements contained in this logo is a logo that is intrepretation life insurance along with Bumiputra 1912

    Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

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    This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

    Robust estimation of bacterial cell count from optical density

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    Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

    The value of open-source clinical science in pandemic response: lessons from ISARIC

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    ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

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    The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use

    The value of open-source clinical science in pandemic response: lessons from ISARIC

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