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Testing the Reliability of Optical Coherence Tomography to Measure Epidermal Thickness and Distinguish Volar and Nonvolar Skin
Get PDFIn persons with limb loss, prosthetic devices cause skin breakdown, largely because residual limb skin (nonvolar) is not intended to bear weight such as palmoplantar (volar) skin. Before evaluation of treatment efficacy to improve skin resiliency, efforts are needed to establish normative data and assess outcome metric reliability. The purpose of this study was to use optical coherence tomography to (i) characterize volar and nonvolar skin epidermal thickness and (ii) examine the reliability of optical coherence tomography. Four orientations of optical coherence tomography images were collected on 33 volunteers (6 with limb loss) at 2 time points, and the epidermis was traced to quantify thickness by 3 evaluators. Epidermal thickness was greater (P \u3c .01) for volar skin (palm) (265.1 ± 50.9 μm, n = 33) than for both nonvolar locations: posterior thigh (89.8 ± 18.1 μm, n = 27) or residual limb (93.4 ± 27.4 μm, n = 6). The inter-rater intraclass correlation coefficient was high for volar skin (0.887–0.956) but low for nonvolar skin (thigh: 0.292–0.391, residual limb: 0.211–0.580). Correlation improved when comparing only 2 evaluators who used the same display technique (palm: 0.827–0.940, thigh: 0.633–0.877, residual limb: 0.213–0.952). Despite poor inter-rater agreement for nonvolar skin, perhaps due to challenges in identifying the dermal–epidermal junction, this study helps to support the utility of optical coherence tomography to distinguish volar from nonvolar skin
Pediatric Obesity in the United States: Age–Period–Cohort Analysis
Get PDFThe rates of obesity among American children aged 2–5 years has reached a historic high. It is crucial to identify the putative sources of population-level increases in obesity prevalence among preschool-aged children because early childhood is a critical window for obesity prevention and thus reduction of future incidence. We used the National Health and Nutrition Examination Survey data and hierarchical age–period–cohort analysis to examine lifecycle (i.e., age), historical (i.e., period), and generational (i.e., cohort) distribution of age- and sex-specific body mass index z-scores (zBMI) among 2–5-year-olds in the U.S. from 1999 to 2018. Our current findings indicate that period effects, rather than differences in groups born at a specific time (i.e., cohort effects), account for almost all of the observed changes in zBMI. We need a broad socioeconomic, cultural, and environmental strategy to counteract the current obesogenic environment that influences children of all ages and generations in order to reach large segments of preschoolers and achieve population-wide improvement
AI Literacy Innovations: ChatGPT\u27s Integration into a First-Year Information Literacy Program
Get PDFIn the dynamic field of information technology, integration of Artificial Intelligence (AI) literacy into information literacy instruction is now essential to ensure the ethical and productive use of generative AI by our students. This poster demonstrates our innovative approach to embedding AI literacy within the first-year information literacy program at an R2 research university. We used a two-pronged strategy: an “AI Literacy” section in Canvas and practical demonstrations of applying ChatGPT in live library sessions. The Canvas module section equips students with foundational knowledge and critical thinking about using generative AI for research and learning activities. It covers AI fundamentals, ethical considerations, and generative AI as a tool for research, ensuring that students from all disciplines can understand and leverage large language models (LLMs) effectively. In parallel, librarian-led live sessions employ ChatGPT as an instructional tool to demonstrate research techniques. These sessions showcase how ChatGPT can serve as a starting point for generating and refining research ideas, offering an interactive and practical experience for students. By integrating AI literacy into the existing information literacy program, we aim to empower students with the skills to navigate and utilize AI technology effectively and ethically. This poster will delve into the development and implementation of the AI Literacy module and the ChatGPT instructional sessions. It will also explore the broader implications of this integration for information literacy education, preparing students to be proficient and ethical users of AI in their academic and professional lives. Learning Objectives: Analyze the key components of AI literacy and differentiate these elements from traditional information literacy skills Apply basic AI concepts and principles in the development of information literacy curricula for first-year university students Design and implement AI-related learning activities that can be integrated into first-year information literacy programs
A Comparative Analysis of OpenET for Evaluating Evapotranspiration in California Almond Orchards
Get PDFThe almond industry in California faces water management challenges that are being exacerbated by droughts, climate change, and groundwater sustainability legislation. The Tree-crop Remote sensing of Evapotranspiration eXperiment (T-REX) aims to explore opportunities to improve precision irrigation management for woody perennial cropping systems. Almond orchards in the California Central Valley were equipped with eddy covariance flux measurements to evaluate satellite remote sensing-based evapotranspiration (RSET) models. OpenET provides high-resolution (30-m spatial and daily temporal) RSET data, synthesizing decades of research for practical water management. This study provides an evaluation of OpenET performance at six almond sites covering a large range in soils, age, and variety. It also compares OpenET ensemble evapotranspiration (ET) data with applied irrigation and precipitation records over an additional 148 almond orchards located in the Central Valley of California. Results show OpenET models, including the ensemble ET value, produced reasonable and actionable ET values, with overall coefficient of determination (R2) and mean absolute error values of 0.73- and 0.95-mm d−1 at the daily time step, respectively. However, given the temporal sampling of Landsat (8-day revisit) and the interpolation methods used, the assessed ET models had difficulty in capturing short-term variability in almond ET; for example, the rapid decline in measured ET observed as a response to lack of irrigation preceding and during almond harvest. The study also drew attention to the spatial complexity in scenarios where irrigated orchards are surrounded by hot/dry areas, causing discrepancies between measured and modeled ET values. In comparison with irrigation records, OpenET ensemble ET was capable of quantifying water input (applied irrigation + precipitation) in almond orchards to within 13 % when evaluating monthly data. Initial results presented here reinforce the idea that RSET models, such as in OpenET, are powerful tools, yet their application requires nuanced understanding and careful consideration of local conditions
Mixed Uncertainty Analysis on Pumping by Peristaltic Hearts using Dempster-Shafer Theory
Get PDFIn this paper, we introduce the numerical strategy for mixed uncertainty propagation based on probability and Dempster–Shafer theories, and apply it to the computational model of peristalsis in a heart-pumping system. Specifically, the stochastic uncertainty in the system is represented with random variables while epistemic uncertainty is represented using non-probabilistic uncertain variables with belief functions. The mixed uncertainty is propagated through the system, resulting in the uncertainty in the chosen quantities of interest (QoI, such as flow volume, cost of transport and work). With the introduced numerical method, the uncertainty in the statistics of QoIs will be represented using belief functions. With three representative probability distributions consistent with the belief structure, global sensitivity analysis has also been implemented to identify important uncertain factors and the results have been compared between different peristalsis models. To reduce the computational cost, physics constrained generalized polynomial chaos method is adopted to construct cheaper surrogates as approximations for the full simulation
Impact of a Pharmacist-Led HCV Treatment Program at a Federally Qualified Health Center
Get PDFPharmacists are key players who can help to eliminate the hepatitis C virus (HCV) epidemic in the United States. This pilot retrospective study evaluated the impact of a pharmacist-led HCV treatment program in a federally qualified health center (FQHC) primary care clinic setting. The primary outcome was to assess sustained virologic response (SVR) rates 12 weeks after patients were initiated and completed their oral direct acting antiviral (DAA) treatment regimens. Methods: This pilot retrospective study included historical analyses of patients who received DAA treatment in the pharmacist-led HCV treatment program in a FQHC clinic between 1 January 2019 and 31 January 2021. SVR was the primary outcome measure for treatment response. Results: Sixty-seven patients with HCV mono- and HIV co-infection were referred, and 59 patients were initiated on DAA regimens after treatment. Fifty of those who were started on DAA regimens completed their treatment, and 38 achieved SVR (modified intention to treat [mITT] SVR rate of 76%). Conclusion: Our study’s findings demonstrated SVR rates that were comparable with other pharmacist-directed HCV treatment services in the United States despite the impact of the COVID-19 pandemic. Our study included a higher proportion of individuals with HCV/HIV co-infection and of Hispanic ethnicity
Downtowns Don’t Matter Anymore
No full textJoseph Lawler’s learned essay on induced demand, looking at the case of highway expansion in Austin, Texas, is fair-minded, but somehow seems more about theory than actual reality. He talks about downtown as if it really mattered all that much. It doesn’t
Evidence-based Prostate Cancer Screening Interventions for Black Men: A Systematic Review
Get PDFAbstract
Prostate cancer is the second leading cause of death for men in the U.S. and Black men are twice as likely to die from the disease. However, prostate cancer, if diagnosed at an earlier stage, is curable. The purpose of this review is to identify prostate cancer screening clinical trials that evaluate screening decision-making processes of Black men. Methods
The databases PubMed, Ovid MEDLINE, CINAHL Plus, and PsychInfo were utilized to examine peer-reviewed publications between 2017 and 2023. Data extracted included implementation plans, outcome measures, intervention details, and results of the study. The Critical Appraisal Skills Programme was used to assess the quality of the evidence presented. Results
Of the 206 full-text articles assessed, three were included in this review. Educational interventions about prostate cancer knowledge with shared and informed decision-making (IDM) features, as well as counseling, treatment options, and healthcare navigation information, may increase prostate cancer screening participation among Black men. Additionally, health partner educational interventions may not improve IDM related to screening participation. The quality of the evidence presented in each article was valid and potentially impactful to the community. Discussion
Black men face various social determinants of health barriers related to racism, discrimination, cost of health services, time away from work, and lack of trust in the healthcare system when making health-related decisions, including prostate cancer screening participation. A multifactorial intervention approach is required to address these inequities faced by Black men especially as prostate cancer is curable when diagnosed at an earlier stage
Twenty-three Years of PCR-based Seafood Authentication Assay Development: What Have We Learned?
Get PDFSeafood is a prime target for fraudulent activities due to the complexity of its supply chain, high demand, and difficult discrimination among species once morphological characteristics are removed. Instances of seafood fraud are expected to increase due to growing demand. This manuscript reviews the application of DNA-based methods for commercial fish authentication and identification from 2000 to 2023. It explores (1) the most common types of commercial fish used in assay development, (2) the type of method used, (3) the gene region most often targeted, (4) provides a case study of currently published assays or primer-probe pairs used for DNA amplification, for specificity, and (5) makes recommendations for ensuring standardized assay-based reporting for future studies. A total of 313 original assays for the detection and authentication of commercial fish species from 191 primary articles published over the last 23 years were examined. The most explored DNA-based method was real-time polymerase chain reaction (qPCR), followed by DNA sequencing. The most targeted gene regions were cytb (cytochrome b) and COI (cytochrome c oxidase 1). Tuna was the most targeted commercial fish species. A case study of published tuna assays (n = 19) targeting the cytb region found that most assays were not species-specific through in silico testing. This was conducted by examining the primer mismatch for each assay using multiple sequence alignment. Therefore, there is need for more standardized DNA-based assay reporting in the literature to ensure specificity, reproducibility, and reliability of results. Factors, such as cost, sensitivity, quality of the DNA, and species, should be considered when designing assays