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Objective: To develop a PCV-dependent hemolysis color scale and evaluate its accuracy in predicting supernatant hemoglobin concentration in packed red blood cell (pRBC) products, helping to determine transfusion safety.
Design: Prospective experimental study.
Setting: University veterinary teaching hospital.
Interventions: Serial dilutions of a pRBC unit were performed to create a range of hemolyzed supernatant samples. A commercial graphics program was used to allocate computerized color to each hemolyzed sample, constructing a color scale. Study participants were then asked to use the color scale to estimate the hemoglobin concentration of a provided supernatant sample. The color estimation data were analyzed by the authors to determine whether to transfuse blood, as pRBC should not be transfused if the product's percentage hemolysis is >1%.
Measurements And Main Results: Visual inspection with the color scale was evaluated with seven supernatant test samples containing different free hemoglobin concentrations (0.3-8.0 g/L). The percentage of correct color estimation overall was 61.9%. The percentage of correct decisions to transfuse the blood product overall would have been 93.7%. All incorrect estimations were one color range (approximately 1.0 g/L difference between the ranges) off from the correct estimation for all samples.
Conclusions: The color scale aided the visual assessment of hemolysis. However, visual inspection with the color scale can still be inaccurate near the corresponding cutoff color of <1% hemolysis in each PCV range. If the supernatant color of the unit is estimated to be one color range off from the cutoff color, the cell-free hemoglobin concentration of the unit should be measured, and percentage hemolysis should be calculated to determine if it meets the <1% hemolysis standard.
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http://dx.doi.org/10.1111/vec.70017 | DOI Listing |
J Hazard Mater
September 2025
Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Nanjing 210042, China. Electronic address:
Environmental microplastics (MPs) are challenging to compare due to non-harmonized sampling and quantification methods. As MPs are predominantly composed of recalcitrant organic carbon (OC), they contribute to the total organic carbon (TOC) pool in environments. The concentration of recalcitrant carbon in microplastics (MPC) can theoretically serve as a complementary, standardized mass-based index to characterize MPs pollution levels.
View Article and Find Full Text PDFAm J Public Health
October 2025
Alexander Furuya, Asa Radix, Adam Whalen, Jessica Contreras, Jenesis Merriman, Krish J. Bhatt, Roberta Scheinmann, and Dustin T. Duncan are with the Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY. Yusuf Ransome is with the Department of Social and Behav
To examine how one's community connectedness may act as a source of resilience and promote HIV prevention and care behaviors among transgender women of color. We analyzed survey data from 313 transgender women of color living in New York City collected from August 2020 to November 2022. The Community Connectedness Scale asks participants about their baseline feelings of connection, feelings of inclusion, feelings of belonging, feelings of isolation, and feelings of being unlike in relation to the transgender community.
View Article and Find Full Text PDFBraz Oral Res
September 2025
Pontifícia Universidade Católica de Minas Gerais - PUC-Minas, Institute of Biological and Health Sciences, Dentistry Department, Belo Horizonte, MG, Brasil.
The contamination of dental curing light tips was evaluated before and after treatment and after their use and disinfection. The influence of a plastic protective barrier over the flexural strength and the modulus of elasticity of resin composites were also analyzed. Microbiological sampling was conducted at initial contamination (T0), in Log 10 CFU/4 mL; after dental treatment (T1); and after disinfection with 70% ethanol (v/v) (T2).
View Article and Find Full Text PDFPLoS One
September 2025
The Institute of Port Information Digitalization, China Liaoning Port Group Co. Ltd., Dalian, Liaoning, China.
Background: Underwater environments face challenges with image degradation due to light absorption and scattering, resulting in blurring, reduced contrast, and color distortion. This significantly impacts underwater exploration and environmental monitoring, necessitating advanced algorithms for effective enhancement.
Objectives: The study aims to develop an innovative underwater image enhancement algorithm that integrates physical models with deep learning to improve visual quality and surpass existing methods in performance metrics.
PLoS One
September 2025
School of Design and Art, Hunan University, Changsha, Hunan, China.
This study addresses the limitations of traditional interior space design, particularly the timeliness and uniqueness of solutions, by proposing an optimized design framework that integrates a two-stage deep learning network with a single-sample-driven mechanism. In the first stage, the framework employs a Transformer network to extract multi-dimensional features (such as spatial layout, color distribution, furniture style, etc.) from input space images, generating an initial feature vector.
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