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Javanese Leadership And Migrant Worker Repatriation: A Model For Transformative Crisis Response
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Treatment of Basal Cell Carcinomas with Pulsed Dye Laser: A Case Series
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Twin Deficits: Evidence From Portugal, Italy, Spain and Greece
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Heraclio Bonilla, «Este Reyno se va consumiendo…» Las minas de la provincia de Mariquita en el siglo xvii
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Low Body Mass Index Can Identify Majority of Osteoporotic Inflammatory Bowel Disease Patients Missed by Current Guidelines
Published 2012-01-01“…Low BMI can identify majority of the patients with osteoporosis that are missed by current guidelines.…”
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612
HIV prevention and missed opportunities among people with recently acquired HIV infection: Α protocol for a systematic review.
Published 2024-01-01“…Identifying prevention measures used and missed opportunities for using them, can help stop further HIV transmission.…”
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613
Des Miss à part. Les concours de beauté au prisme des différences en Amérique latine
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UNDERSTANDING THE INFLUENCE OF HEDONIC MOTIVATION AND FEAR OF MISSING OUT (FoMO) ON ONLINE IMPULSE PURCHASE INTENTIONS OF DISCOUNTED PRODUCTS
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616
A Radiographic Evaluation of Missing of Permanent First Molars in a Group of Iranian Children and Adults: A Retrospective Study
Published 2018-01-01“…The missing of permanent first molars influences the occlusal status and dental health. …”
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Adaptive Kalman Estimation in Target Tracking Mixed with Random One-Step Delays, Stochastic-Bias Measurements, and Missing Measurements
Published 2013-01-01“…The objective of this paper is concerned with the estimation problem for linear discrete-time stochastic systems with mixed uncertainties involving random one-step sensor delay, stochastic-bias measurements, and missing measurements. Three Bernoulli distributed random variables are employed to describe the uncertainties. …”
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Missing Risk Factor Prediction in Cardiovascular Disease Using a Blended Dataset and Optimizing Classification With a Stacking Algorithm
Published 2025-01-01“…However, most ML algorithms require more accurate data in order to build an accurate prediction model and do not tolerate missing values. Handling missing risk factors is critical during dataset preprocessing and becomes more difficult when the risk factors are completely missing. …”
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