Statement Of Problem: The 2-color mixing ability test has been recently introduced for objective assessment of masticatory performance. However, the ideal bicolor specimens have not yet been identified, and the color analysis of digital images requires improvement.
Purpose: The purpose of this clinical study was to formulate a custom-made, 2-color chewing gum for the mixing ability test and to develop an image-processing method for color mixing analysis.
Material And Methods: Specimens of red-green (RG) chewing gum were prepared as a test food. Twenty dentate participants (10 men, 10 women; mean age 21 years) took part in this study. Each participant masticated 1 piece of RG gum for 3, 6, 9, 15, and 25 cycles, and this task was repeated 3 times consecutively (total n=15 for each participant). The boluses were retrieved and flattened to 1-mm-thick wafers and scanned with a flatbed scanner. The digital images were analyzed using ImageJ software equipped with a custom-built plug-in to measure the geometric dispersion (GD) of baseline red segment. The predictive criterion validity of this method was determined by correlating GD to the number of mastication cycles. The hardness and mass of RG chewing gum were measured before and after mastication. Hardness loss (%) and mass loss (%) were then calculated and compared with those of a commercially available chewing gum.
Results: The 2-way repeated-measures ANOVA with post hoc Bonferroni test showed that GD was able to discriminate among the groups of different numbers of mastication cycles (P<.001). Pearson correlation coefficient confirmed the significant correlation between GD and the number of mastication cycles (r=0.90, P<.001). The hardness loss and mass loss of RG chewing gum were significantly lower than those of commercial chewing gum (P<.001).
Conclusions: The newly formulated chewing gum provides an appropriate test food material for masticatory performance assessment. The new image-processing method discriminated among the different levels of color mixture and quantified the mixing ability.
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http://dx.doi.org/10.1016/j.prosdent.2018.09.005 | DOI Listing |
Neural Netw
January 2025
Mechanical, Electrical and Information Engineering College, Putian University, Putian, 351100, China.
Attention mechanisms have revolutionized natural language processing. Combining them with quantum computing aims to further advance this technology. This paper introduces a novel Quantum Mixed-State Self-Attention Network (QMSAN) for natural language processing tasks.
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School of Biotechnology, Institute of Science, Banaras Hindu University, Varanasi, India.
Plant growth-promoting rhizobacterium Sp7 utilizes fructose efficiently via a fructose phosphotransferase system (Fru-PTS). Its genome encodes two putative Fru-PTS, each consisting of FruB (EIIA), FruK (Pfk), and FruA (EIIBC) proteins. We compared the proteomes of Sp7 grown with malate or fructose as sole carbon source, and noticed upregulation of the constituent proteins of Fru-PTS1 only on fructose.
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February 2025
Discipline of Mechanical, Manufacturing and Biomedical Engineering, School of Engineering, Trinity College Dublin, Dublin 2, Ireland.
Peripheral nerve repair (PNR) is a major healthcare challenge due to the limited regenerative capacity of the nervous system, often leading to severe functional impairments. While nerve autografts are the gold standard, their implications are constrained by issues such as donor site morbidity and limited availability, necessitating innovative alternatives like nerve guidance conduits (NGCs). However, the inherently slow nerve growth rate (∼1 mm/day) and prolonged neuroinflammation, delay recovery even with the use of passive (no-conductive) NGCs, resulting in muscle atrophy and loss of locomotor function.
View Article and Find Full Text PDFNarra J
December 2024
Department of Community Medicine and Public Health, Faculty of Medicine and Health Sciences, Universiti Malaysia Sarawak, Sarawak, Malaysia.
Down syndrome is the most prevalent genetic condition contributing to intellectual disability. Advancements in medical care have significantly increased the life expectancy of people with this condition, making employment a vital component for independent living and quality of life. The aim of this study was to examine the current literature on the employability and employment experiences of individuals with Down syndrome, focusing on the evolution of the employment rate and factors influencing employment such as cognitive and personal factors, societal attitudes, challenges, and effective support systems.
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