Black and Latina women are disproportionately impacted by HIV/AIDS. Despite existing research linking social networks and HIV risk among men who have sex with men (MSM) and other high-risk populations, little research has examined how ethnic/racial minority women's social networks shape HIV prevention and intervention targets. Using interviews with a sample of 165 predominantly Black and Latina-identifying women from a small city in the Western U.S., this research examines the relationship between egocentric network characteristics and HIV knowledge, attitudes, and testing history. Results reveal that network characteristics play a significant role in shaping HIV-related knowledge, prejudice, and testing intention but not HIV testing history. Individual-level factors like homelessness and perceptions of testing barriers are more salient for explaining testing behaviors than network characteristics. Intervention efforts to improve knowledge and reduce prejudice among Black and Latina women may benefit from mobilizing network ties.
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http://dx.doi.org/10.1080/09540121.2021.1913717 | DOI Listing |
Sci Rep
January 2025
Department of Engineering, FH Campus Wien - University of Applied Sciences, Favoritenstraße 226, Vienna, 1100, Austria.
Meta-heuristic optimization algorithms are widely applied across various fields due to their intelligent behavior and fast convergence, but their use in optimizing engine behavior remains limited. This study addresses this gap by integrating the Design of Experiments-based Response Surface Methodology (RSM) with meta-heuristic optimization techniques to enhance engine performance and emissions characteristics using Tectona Grandi's biodiesel with Elaeocarpus Ganitrus as an additive. Advanced Machine Learning (ML) models, including Artificial Neural Networks (ANN), K-Nearest Neighbors (KNN), Extreme Gradient Boosting (XGB), and Random Trees (RT), were employed for predictive analysis, with ANN outperforming RSM in accuracy.
View Article and Find Full Text PDFInt J Behav Med
January 2025
Center for American Indian and Rural Health Equity, Montana State University, Bozeman, MT, USA.
Background: While characteristics of an individual's social network and reported loneliness may be linked, they can be distinct. Prior work indicates that gender moderates the relationship between social networks and loneliness; however, these relationships have not been investigated in American Indian adults. The current work investigates whether the relationship between characteristics of one's social network (i.
View Article and Find Full Text PDFVaccine
January 2025
Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Background: Understanding similarities and differences between hesitancy for influenza and COVID-19 vaccines could facilitate strategies to improve public receptivity toward vaccination.
Methods: We compared hesitancy for COVID-19 vaccines during the first 13 months of availability (January 2021-January 2022) with hesitancy for influenza vaccines in the 15 months prior to COVID-19 vaccine availability (October 2019-December 2020) among adults hospitalized with acute respiratory illness at 21 hospitals in the United States. We interviewed patients regarding vaccination status, willingness to be vaccinated, and perceptions of vaccine safety and efficacy.
Int J Biol Macromol
January 2025
College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, Jiangsu, PR China. Electronic address:
In this study, soybean protein isolate (SPI) / bacterial cellulose (BC) co-assemblies replicate the fibrous network structure in animal fat to stabilize the 3D-printed high internal phase Pickering emulsion (HIPPE) gels with excellent processing characteristics. The SPI/BC co-assemblies, structured through pH shifting treatment, displayed exceptional emulsification and gelation properties. The relevant results indicate that the SPI/BC co-assemblies possess numerous hydrophobic and thiol groups on their surfaces.
View Article and Find Full Text PDFNeuroimage
January 2025
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences, Tehran, Iran. Electronic address:
Object recognition under challenging real-world conditions, including partial occlusion, remains an enduring focus of investigation in cognitive visual neuroscience. This study addresses the insufficiently elucidated neural mechanisms and temporal dynamics involved in this complex process, concentrating on the persistent challenge of recognizing objects obscured by occlusion. Through the analysis of human EEG data, we decode feedback characteristics within frontotemporal networks, uncovering intricate neural mechanisms during occlusion coding, with a specific emphasis on processing complex stimuli such as occluded faces.
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