Three methods for the determination of thiamine in foods were evaluated for accuracy, recovery, and precision: a manual fluorescent method, a semiautomated fluorescent method, and a Lactobacillus viridescens microbiological assay. Thiamine in the samples was destroyed with clam tissue thiaminase; a known amount of thiamine hydrochloride was then added to the extract; and the thiamine recovery was determined. For 14 commerically processed food products analyzed by the manual and semiautomated methods, the mean per cent recovery values and standard deviations were 91.2 +/- 8.92 and 99.3 +/- 3.13%, respectively. Eight of these products were analyzed by all 3 methods. The mean per cent recoveries and standard deviations for these 8 samples were 90.7 +/- 8.97, 101 +/- 2.52, and 99.9 +/- 1.03%, respectively, for the manual, semiautomated, and microbiological methods. The microbiological method with L. viridescens gave the best results for the products tested. The concentration of vitamin which can be measured is such that samples of low label declaration present no problems. The semiautomated method offers a rapid and accurate method of thiamine assay. The chemical reactions are identical to those of the official method. The major difference between the methods is in the sample cleanup. It is postulated that the low recovery observed for the manual method is due to incomplete elution of thiamine in the column purification step.
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Background: Investigators and funding organizations desire knowledge on topics and trends in publicly funded research but current efforts for manual categorization have been limited in breadth and depth of understanding.
Purpose: We present a semi-automated analysis of 21 years of R-type National Cancer Institute (NCI) grants to departments of radiation oncology and radiology using natural language processing (NLP).
Methods: We selected all non-education R-type NCI grants from 2000 to 2020 awarded to departments of radiation oncology/radiology with affiliated schools of medicine.
Behav Res Methods
January 2025
Department of Computer Science, Colby College, 4000 Mayflower Hill, Waterville, 04901, Maine, USA.
In reading tasks, drift can move fixations from one word to another or even another line, invalidating the eye-tracking recording. Manual correction is time-consuming and subjective, while automated correction is fast - yet limited in accuracy. In this paper, we present Fix8 (Fixate), an open-source GUI tool that offers a novel semi-automated correction approach for eye-tracking data in reading tasks.
View Article and Find Full Text PDFTransplant Proc
January 2025
Department of Hepatopancreatobiliary & Transplant Surgery, Singapore General Hospital, Singapore; SingHealth Duke-NUS Transplant Centre, Singapore; Duke-NUS Medical School, Singapore.
Background: Accurately assessing graft volume is crucial for donor and recipient safety in living donor liver transplantation. This can be performed using manual computed tomography volumetry (CTvol) or semiautomated methods (MeVis). We aimed to compare CTvol and MeVis in estimating the actual graft weight during LDLT, and analyse any differences in weight between laparoscopic and open donor hepatectomy.
View Article and Find Full Text PDFTher Adv Drug Saf
January 2025
Department of Epidemiology, Biostatistics and Health Data, Centre Antoine Lacassagne, Nice, France.
Background: Reporting serious adverse events (SAEs) is crucial to reduce or avoid toxicities that can lead to major consequences for patient's health due to treatments tested in clinical trials. Its exhaustiveness is often inadequate, and we observe discrepancies between data published by pharmacovigilance organizations and clinical databases.
Objectives: While the process of reconciliation aims at reducing these differences, it remains a very time-consuming and imprecise task.
Sci Rep
January 2025
Department of Neurosurgery, University Hospital Tübingen, Tübingen, Germany.
To compare 1D (linear) tumor volume calculations and classification systems with 3D-segmented volumetric analysis (SVA), focusing specifically on their effectiveness in the evaluation and management of NF2-associated vestibular schwannomas (VS). VS were clinically followed every 6 months with cranial, thin-sliced (< 3 mm) MRI. We retrospectively reviewed and used T1-weighted post-contrast enhanced (gadolinium) images for both SVA and linear measurements.
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