47325 research outputs found
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Unidentified People at Banquet
Photograph: Group of women with Elks members at banquet. In background: Poster announcing the upcoming thirty-eighth National Convention to be held in Cleveland. Undated.https://digitalcommons.unf.edu/eartha_images/1176/thumbnail.jp
Breast density classification using deep learning
Breast density screenings are an accepted means to determine a patient\u27s predisposed risk of breast cancer development. Although the direct correlation is not fully understood, breast cancer risk increases with higher levels of mammographic breast density. Radiologists visually assess a patient\u27s breast density using mammogram images and assign a density score based on four breast density categories outlined by the Breast Imaging and Reporting Data Systems (BI-RADS). There have been efforts to develop automated tools that assist radiologists with increasing workloads and to help reduce the intra- and inter-rater variability between radiologists. In this thesis, I explored two deep-learning-based approaches on breast density classification. First, I developed and experimented with algorithms using deep learning models (such as Inception V3 and ViT) to classify patients according to BI-RADS using various types of digital mammograms. Second, with the need to provide not only such classification but also a quantitative measure of breast density to help standardize assessments across radiologists, I applied a deep learning based semantic segmentation model, DeepLabV3, to predict density percentages which then were used to provide a linear and probability scale
Forty-Fifth Street Pharmacy, Interior View
Photograph: Interior view of the Forty-fifth Street Pharmacy, Edward Thurston, proprietor. Pharmacy near Clara White Mission. Undated.https://digitalcommons.unf.edu/eartha_images/1243/thumbnail.jp
The Influence of the Dispersion Method on the Morphological, Curing, and Mechanical Properties of NR/SBR Reinforced with Nano-Calcium Carbonate
There are several reasons for the development of nanopolymer compounds, such as improving physical, mechanical, and chemical properties, increasing lifespan, reducing costs, and decreasing negative environmental impact. The compatibility of two rubbers and mineral nanofillers in nanocomposites is a challenge that needs to be studied, and the effect of nanofillers on morphological, physical, and mechanical properties should be investigated accordingly. In this study, calcium carbonate nanoparticles were added to a polymer compound that included natural rubber (NR), styrene-butadiene rubber (SBR), vulcanization accelerators, and other additives. For mixing nanoparticles in the polymer matrix, various methods were used, including the solvent method in toluene and W410 solvents and the surface modification of calcium carbonate nanoparticles with stearic acid. The effect of dispersion nanoparticles in nanocomposite specimens on morphology, curing characteristics, and mechanical properties was studied. The morphologies of specimens were determined by X-ray diffraction (XRD) analysis and field emission scanning electron microscopy (FESEM). The particle size of the nanocomposite was approximately 34 nm, and the interlayer spacing between crystal plates increased from 2.81 nm to 3.03 nm. These results indicate a uniform dispersion of nanoparticles, specifically with an optimum content of 3.52%, in the compounds prepared through all mixing methods, with no agglomeration observed in the nanocomposites. The results of the nanocomposites\u27 curing characterization demonstrate that with the addition of nanoparticles, a strong bond is created in the polymer chains, and curing properties are improved. Among the dispersion methods, the highest percentage improvement in curing properties is observed with the solvent method W410. To evaluate the effect of the addition of calcium carbonate nanoparticles and the dispersion method on improving mechanical properties, tensile, tear, hardness, and rebound resilience tests were performed. In tensile tests, the surface modification method showed the highest enhancement in ultimate stress (80%), followed by the W410 method (64%) and toluene method (63.7%). Tear strength improvements were highest in the W410-solvent sample (80%), followed by the surface modification method (57%) and the solvent-toluene method (50%). The W410 method resulted in the hardest samples, while the surface-modified samples had the lowest hardness. The addition of CaCO3 nanofillers reduced rebound resilience, with the W410 method experiencing the largest reduction (10.64%), followed by the toluene method (6.38%), and with the surface-modified samples showing the lowest reduction (4.25%). The results show that in the W410 solvent method, the nanocomposite is more elastic than for other methods. Additionally, for most of the mechanical properties, the W410 method results in the most growth in improvement
The role of resistance training in influencing insulin resistance among adults living with obesity/overweight without diabetes: A systematic review and meta-analysis
The purpose of this study was to systematically examine the independent effect of resistance training (RT) on markers of insulin resistance (IR) (fasting insulin and HOMA-IR) among individuals with overweight/obesity without diabetes. PubMed, SPORTdiscus, SCOPUS, Prospero, and clinicaltrials.gov were searched through December 19, 2022. Article screening was conducted in three phases: title screen (n = 5020), abstract screen (n = 202), and full text screen (n = 73). A total of 27 studies with 402 individual data points were used for the meta-analysis. Comprehensive Meta-Analysis software version 3.0 was used to interpret pre- and post-IR measurements with a random-effects model. Exploratory sub-analyses were conducted on studies for only females, only males, and age (\u3c 40 and ≥ 40 years). RT had a significant effect on fasting insulin (- 1.03, 95 % CI - 1.03, - 0.75 p \u3c 0.001) and HOMA-IR (- 1.05, 95 % CI - 1.33, - 0.76, p \u3c 0.001). Sub-analyses revealed that males had a more pronounced effect compared to females and those \u3c 40 years of age had a more pronounced effect compared to those ≥ 40 years. The results of this meta-analysis illustrate that RT plays an independent role in improving IR among adults with overweight/obesity. RT should continue to be recommended as part of preventive measures among these populations. Future studies examining the effect of RT on IR should consider dose centered on the current U.S. physical activity guidelines
Eartha M.M. White, Portrait
Photograph: Still Photograph of Eartha White. Undated.https://digitalcommons.unf.edu/eartha_images/1754/thumbnail.jp
Unidentified Child on Bench
Photograph: Portrait of child sitting on a bench. Undated.https://digitalcommons.unf.edu/eartha_images/1827/thumbnail.jp
Unidentified Children
Photograph: Portrait of two young children posed on rock. Photographer stamp on front and back: J. Huebner Rutherford, N.J. Undated.https://digitalcommons.unf.edu/eartha_images/1851/thumbnail.jp
Unidentified Child
Photograph: Hand colorized portrait of a child. Handwritten notes on reverse. Undated.https://digitalcommons.unf.edu/eartha_images/1842/thumbnail.jp
Eartha M.M. White, Mamie Stewart, and Friend
Photograph: Eartha White with Mamie Stewart and unidentified Friend. Undated. H5-2690https://digitalcommons.unf.edu/eartha_images/1767/thumbnail.jp