Publications by authors named "K N MASON"

is an opportunistic, multidrug-resistant gram-negative bacterium often affecting patients with significant comorbidities. This case report examines the hospital course of a 75-year-old male with a history of atrial fibrillation and heart failure with preserved ejection fraction (HFpEF), who presented with compromised respiratory status and recurrent infections, highlighting the complexities of clinical management in the setting of multidrug-resistant HFpEF organisms and postoperative complications. The patient was admitted following an episode of ventricular tachycardia and acute respiratory failure, requiring rapid airway management and intensive clinical intervention.

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Purpose: Speech disorders associated with velopharyngeal dysfunction (VPD) are common. Some require surgical management, while others are responsive to speech therapy. This is related to whether the speech error is obligatory (passive) or compensatory (active).

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Objective: Velopharyngeal insufficiency (VPI) poses challenges for normal speech production, often necessitating surgical intervention. Determining optimal candidates for surgery remains complex and requires a nuanced understanding of underlying anatomic factors contributing to VPI. This study aimed to identify anatomic predictors that drive surgical recommendations for VPI.

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Benzonitrile molecules are present in ionizing environments including interstellar clouds and solar nebulae, where their ions can form adducts with neutral molecules such as acrylonitrile leading to the formation of a variety of nitrogen-containing complex organics. Herein, we report on the formation of complex organics by the sequential reactions of 1-4 acrylonitrile (CNH) molecules with the benzonitrile radical cation (CNH˙). The results reveal the formation of the covalently bonded -acrylonitrile-benzonitrile radical cation (CNH˙) with a rate coefficient of 2.

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Data integration to align cells across batches has become a cornerstone of single-cell data analysis, critically affecting downstream results. Currently, there are no guidelines for when the biological differences between samples are separable from batch effects. Here we show that current paradigms for single-cell data integration remove biologically meaningful variation and introduce distortion.

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