IMPROVED ISOLATION OF ULTRA-HIGH-MOLECULAR-WEIGHT GENOMIC DNA SUITABLE FOR THIRD-GENERATION SEQUENCING


Visualizing anatomically registered data with brainrender

Three-dimensional (3D) digital brain atlases and high-throughput brain-wide imaging techniques generate large multidimensional datasets that can be registered to a common reference frame.Generating insights from RECT Counter Table w/Storage such datasets depends critically on visualization and interactive data exploration, but this a challenging ta

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Credit Card Fraud Detection Using AdaBoost and Majority Voting

Credit card fraud is a serious problem in financial services.Billions of dollars are lost due to credit card fraud every year.There is a lack of research studies on analyzing real-world credit card data owing to PROSCALP ITCH RELIEF confidentiality issues.In this paper, machine learning algorithms are used to detect credit card fraud.Standard model

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Extended reality as a training method for medical first responders in mass casualty incidents: A protocol for a systematic review

Introduction/Background Mass-casualty incidents (MCIs) and disasters Cream Mask require an organised and effective response from medical first responders (MFRs).As such, novel training methods have emerged to prepare and adequately train MFRs for these challenging situations.Particular focus should be placed on extended reality (XR), which encompas

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Noninvasive Characterization of the Effect of Varying PLGA Molecular Weight Blends on In Situ Forming Implant Behavior Using Ultrasound Imaging

In situ forming implants (ISFIs) have shown promise in drug delivery applications due to their simple manufacturing and minimally invasive administration.Precise, reproducible control of drug release from ISFIs is essential to their successful clinical application.This study investigated the effect of varying the molar ratio of different molecular

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