Publications by authors named "B Kuefferle"

Objectives: Our objective was to determine risk factors and operative outcomes for patients with upper extremity penetrating vascular injuries(UEPVI).

Methods: A retrospective review was performed of all adult UEPVI patients presenting to a level I trauma center between 1986 and 2019. Statistical analyses were performed to determine the independent predictors of mortality and hospital length of stay(LOS) among patients who underwent operative repair.

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In this study, DL-phenylalanine modified with a multiwall carbon nanotube paste electrode is used as advanced electrochemical sensor for analysing of 0.1 mM caffeic acid (CFA) with simultaneous detection of riboflavin (RFN). The developed sensors include electrochemically polymerized DL-phenylalanine (DL-PA) modified multiwall carbon nanotube paste electrode [DL-PAMMCNTPE] and bare multiwall carbon nanotube paste electrode [BMCNTPE].

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A new era for diagnosing and treating Deep Vein Thrombosis (DVT) relies on precise segmentation from medical images. Our research introduces a novel algorithm, the Modified-Net architecture, which integrates a broad spectrum of architectural components tailored to detect the intricate patterns and variances in DVT imaging data. Our work integrates advanced components such as dilated convolutions for larger receptive fields, spatial pyramid pooling for context, residual and inception blocks for multiscale feature extraction, and attention mechanisms for highlighting key features.

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An efficient modified QuEChERS procedure was established for the simultaneous determination of 37 pesticide residues in fresh and processed edible button mushroom by employing GC/ GC-MS and LC-MS/MS. The effectiveness, reliability and accuracy of the method were assessed through validation parameters such as linearity, LOD, LOQ, precision, accuracy, uncertainty, and matrix effect. The linearity calibration for all the selected pesticides at standard concentrations (0.

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A significant clinical challenge in patients with colorectal cancer (CRC), which adversely impacts patient survival, is the development of therapy resistance leading to a relapse. Therapy resistance and relapse in CRC is associated with the formation of lipid droplets (LD) by stimulating de novo lipogenesis (DNL). However, the molecular mechanisms underlying the increase in DNL and the susceptibility to DNL-targeted therapies remain unclear.

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