Objective: This article reports on a qualitative study that contrasts implementation patterns across community-based public health initiatives, resulting in a construct for building the capacity of such initiatives in racial and ethnic communities. By specifying which capacities provide optimum leverage, community initiatives may increase precision in developing intervention strategies that are pivotal in producing desired outcomes.
Method: Cross-case comparisons were made on the basis of intensive interviews with key initiative leaders.
Results: Several capacities distinguish highly successful initiatives from those that had greater difficulty in realizing their goals. Leadership was the most important distinguishing capacity. Organizing capacity, or the propensity to provide structure, operational procedures, oversight, and activity formation, was also critical in leveraging community action and desired outcomes.
Conclusion: The study concludes that developing high levels of community capacity where it can produce the most strategic advantage is a promising pathway for mitigating antagonistic social factors.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/01.PHH.0000338383.74812.18 | DOI Listing |
Inorg Chem
January 2025
Hoffmann Institute of Advanced Materials, Shenzhen Polytechnic University, 7098 Liuxian Blvd, Nanshan District, Shenzhen 518055, P. R. China.
Metal-organic frameworks have received extensive development in the past three decades, which are generally constructed via the reaction between inorganic building units and commercially available or presynthesized organic linkers. However, the presynthesis of organic linkers is usually time-consuming and unsustainable due to multiple-step separation and purification. Therefore, methodology development of a new strategy is fundamentally important for the construction and further exploration of the applications of MOFs.
View Article and Find Full Text PDFJ Comput Chem
January 2025
Pharmaceutical Chemistry Research Laboratory 1, Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (Banaras Hindu University), Varanasi, India.
Cyclooxygenase-2 (COX-2) is an enzyme that plays a crucial role in inflammation by converting arachidonic acid into prostaglandins. The overexpression of enzyme is associated with conditions such as cancer, arthritis, and Alzheimer's disease (AD), where it contributes to neuroinflammation. In silico virtual screening is pivotal in early-stage drug discovery; however, the absence of coding or machine learning expertise can impede the development of reliable computational models capable of accurately predicting inhibitor compounds based on their chemical structure.
View Article and Find Full Text PDFAging Ment Health
January 2025
Department of Psychology, University of Edinburgh, Edinburgh, UK.
Objectives: Ageism occurs across the world, with negative consequences for individuals and societies. In 2016, WHO received a mandate from its Member States to lead the global campaign to combat ageism. To monitor, evaluate, and build evidence for reducing ageism, the availability of a brief, reliable and valid set of indicators of ageism experiences that can be used globally is essential.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Computer Science, Tunghai University, Taichung City 407224, Taiwan.
This paper addresses the increasing demand for efficient and scalable streaming service applications within the context of edge computing, utilizing NVIDIA Jetson Xavier NX hardware and Docker. The study evaluates the performance of DeepStream and Simple Realtime Server, demonstrating that containerized applications can achieve performance levels comparable to traditional physical machines. The results indicate that WebRTC provides superior low-latency capabilities, achieving delays of around 5 s, while HLS typically experiences delays exceeding 10 s.
View Article and Find Full Text PDFSensors (Basel)
December 2024
2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, 12462 Athens, Greece.
The widespread propagation of wireless communication devices, from smartphones and tablets to Internet of Things (IoT) systems, has become an integral part of modern life. However, the expansion of wireless technology has also raised public concern about the potential health risks associated with prolonged exposure to electromagnetic fields. Our objective is to determine the optimal machine learning model for constructing electric field strength maps across urban areas, enhancing the field of environmental monitoring with the aid of sensor-based data collection.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!