A popular procedure to predict the variance of the fractionator consists in splitting the initial collection of fragments into two subsets, in order to use the corresponding particle counts (or any other pertinent measure), in the calculation. The current formula does not account for local or 'nugget' errors inherent in the estimation of fragment contents, however. Moreover, it does not account for the fact that the contribution of the variability between fragments or slices should rapidly decrease as the sampling fraction increases. For these reasons, an update to the formula is overdue. It should be stressed, however, that the formula applies to Cavalieri slices designs - its application for arbitrary partition designs is therefore not warranted.
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http://dx.doi.org/10.1111/j.1365-2818.2004.01291.x | DOI Listing |
Phys Med Biol
March 2025
Physics, The University of Western Australia, 35 Stirling Highway, Mailbag M013, Crawley, Perth, Western Australia, 6009, AUSTRALIA.
Objective Intraoperative radiotherapy (IORT) is a specialised radiotherapy technique that delivers a precise, single high-dose fraction to the tumour bed after surgical removal of the tumour, aiming to eliminate residual cancer cells. This study investigates the incorporation of novel applicators into an existing intraoperative radiotherapy (IORT) system to enable dose modulation, performing Monte Carlo simulations, 3D printing, and experimental validation. The Zeiss Intrabeam IORT device, a low-kV IORT system capable of delivering X-rays nearly isotropically, with energies up to 50 kV, was used in this study.
View Article and Find Full Text PDFComput Methods Biomech Biomed Engin
March 2025
School of Physical Therapy and Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Mandibular fractures are among the most serious injuries to the maxillofacial region, with controversy surrounding their diagnosis, classification, and management Fixation mini-plate systems are commonly used for treatment of mandibular fractures. Previous studies have examined plate configurations with various locking systems. However, the impact of plate thickness on the performance of unlocking screw mechanisms has not been investigated in the literature.
View Article and Find Full Text PDFNutrients
February 2025
Department of Pharmaceutical Technology, Pomeranian Medical University in Szczecin, Rybacka 1, 70-204 Szczecin, Poland.
With advancements in medical technology, biochemistry, and clinical practices, the modern approach to total parenteral nutrition (TPN) has been focused on precision, safety, and the optimization of metabolic and nutritional parameters based on the patient's needs. In the last decade, TPN mixtures have been transitioning from a lifesaving intervention for patients unable to receive enteral nutrition to a highly specialized therapy aimed at improving clinical outcomes, reducing complications, and personalizing care. Total parenteral nutrition has attracted great interest, and its adaptation to the patient's needs is a topic of interest in the scientific community.
View Article and Find Full Text PDFFoods
February 2025
Department of Agriculture, University of Naples "Federico II", 80055 Portici, Italy.
This study critically examines the limitations of the official Italian methodology used for detecting bovine adulteration milk in Protected Designation of Origin (PDO) Mozzarella di Bufala Campana (MdBC). This method focuses on the whey fraction of cheese samples, which comprises about 1% of total MdBC proteins, and is based on a high-performance liquid chromatography (HPLC) quantification of the bovine β-lactoglobulin A (β-Lg A) as a marker. Here, we have demonstrated that this official methodology suffers from measurement inconsistencies due to its reliance on raw bovine whey standards, which fail to account for β-Lg genetic polymorphisms in real MdBC samples and protein thermal modifications during cheesemaking.
View Article and Find Full Text PDFAnimals (Basel)
February 2025
Department of Animal Science, Texas A&M University, College Station, TX 77843, USA.
Accurate prediction of protein utilization in dairy cows is essential for optimizing nutrition and milk yield to achieve sustainable cattle production. This study aimed to develop novel machine learning models to predict rumen-undegradable protein (RUP) and duodenal microbial nitrogen (MicN) based on dietary protein intake. A dataset comprising 1779 observations from 436 scientific publications was used to train support vector regression (SVR) and random forest regression (RFR) models.
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