Lamm Honeycutt (ovalberry23)

Given the growing diversity in the United States, responsiveness to the needs of diverse communities is paramount. Latinx communities in the United States often state mistrust in outside institutions because of adverse experiences. Community-based participatory research (CBPR) is considered a trust-building process and is one approach to understand disparities. However, the conceptualization and evaluation of trust as a CBPR outcome are understudied. This article summarizes a community-engaged research process conducted for the cultural and linguistic refinement of a partnership trust survey tool to assess partnership trust as an outcome of CBPR (CBPR-PTS), by using Perinatal Awareness for Successful Outcomes (PASOs) as a case study and cross-cultural cognitive interviewing (CCCI) methodology. The participants were 21 diverse stakeholders of PASOs, a community-based health organization that serves the Latinx population in South Carolina. A modified version of the multidimensional measure of trust model informed instrument development. The team analyzed the CCCI data using compiling informal analysis to identify which survey items' wordings must be changed or adapted based on the participants' accounts. Sixteen of 28 questions subjected to CCCI required modifications due to translation errors, culturally specific errors, or general cognitive problems. selleck products The new survey instrument has 19 scales and 195 items categorized into nine dimensions of the modified multidimensional measure of trust model. CCCI was a useful tool to address the cross-cultural understanding issues of the CBPR-PTS. Measurement instruments should be able to capture the socioeconomic, cultural, and geographic/environmental variability of community stakeholders to help understand the diversity of the comprehension and views of the communities involved in disparities' reduction efforts.The foundation of pharmacokinetics and antidrug antibodies assay robustness relies on the use of high-quality reagents. Over the past decade, there has been increasing interest within the pharmaceutical industry, as well as regulators, on defining best practices and scientific approaches for generation, characterization and handling of critical reagents. In this review, we will discuss current knowledge and practices on critical reagent workflows and state-of-the-art approaches for characterization, generation, stability and storage and how each of these steps can impact ligand-binding assay robustness.Background There is currently no effective dengue virus (DENV) therapeutic. We aim to develop a genetic algorithm-based framework for the design of peptides with possible DENV inhibitory activity. Methods & results A Python-based tool (denominated AutoPepGEN) based on a DENV support vector machine classifier as the objective function was implemented. AutoPepGEN was applied to the design of three- to seven-amino acid sequences and ten peptides were selected. Peptide-protease (DENV) docking and Molecular Mechanics-Generalized Born Surface Area calculations were performed for the selected sequences and favorable binding energies were observed. Conclusion It is hoped that AutoPepGEN will serve as an in silico alternative to the experimental design of positional scanning combinatorial libraries, known to be prone to a combinatorial explosion. AutoPepGEN is available at https//github.com/sjbarigye/AutoPepGEN. The study aimed to estimate the prevalence and associated factors of cancer screening among men and women in the general population in Marshall Islands. The national cross-sectional sub-study population consisted of 2,813 persons aged 21-75 years (Median = 37.4 years) from the "2017/2018 Marshall Islands STEPS survey". Information about cancer screening uptake included Pap smear or Vaginal Inspection with Acetic Acid (=VIA), clinical breast examination, mammography, faecal occult blood test (FOBT), and colonoscopy. The prevalence of