SIMULTANEOUS OCCURRENCE OF MEDULLARY AND PAPILLARY THYROID MICROCARCINOMAS: A CASE SERIES AND REVIEW OF THE LITERATURE

Simultaneous occurrence of medullary and papillary thyroid microcarcinomas: a case series and review of the literature

Abstract Introduction Papillary thyroid microcarcinoma has been demonstrated to present in association with medullary thyroid carcinoma, however, medullary thyroid carcinoma and papillary thyroid carcinoma represent rare entities.In recent years this rarity has been increasingly observed.The pathogenesis is still controversial.Genetic analysis of R

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Using visible and NIR hyperspectral imaging and machine learning for nondestructive detection of nutrient contents in sorghum

Abstract Nondestructive, rapid, and accurate Dryer Door detection of nutritional compositions in sorghum is crucial for agricultural and food industries.In our study, the crude protein, tannin, and crude fat contents of sorghum variety samples were taken as the research object.The visible near-infrared (VIS-NIR) hyperspectral of sorghum were measur

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Significant impact of three-dimensional volumetry of perinephric fat on the console time during robot-assisted partial nephrectomy

Abstract Background To assess the impact of volumetry of perinephric fat (PNF) on the perioperative outcomes of robot-assisted partial nephrectomy (RAPN).Methods Between 2016 and 2019, a single surgeon performed RAPN for 128 patients with clinical T1a-b renal tumors at our institution, and the 70 most recent patients were included in this study to

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Implementation of an Efficient Bayesian Search for Gravitational-wave Bursts with Memory in Pulsar Timing Array Data

The standard Bayesian technique for searching pulsar timing data for gravitational-wave bursts with memory (BWMs) using Markov Chain Monte Carlo (MCMC) sampling is very computationally expensive to perform.In this paper, we explain the Chef implementation of an efficient Bayesian technique for searching for BWMs.This technique makes use of the fact

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