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Objectives Information and communication technology (ICT) tools are increasingly important for clinical care and international research. Many technologies would be particularly useful for healthcare workers in resource-limited settings; however, these individuals are the least likely to utilize ICT tools due tolack of knowledge and skills necessary to use them. Our program aimed to train researchers in low-resource settings on using ICT tools and to understand how different didactic modalities build knowledge and skills in this area. Methods We conducted a tiered, blended learning program for researchers in Kenya on three areas of ICT: geographic information systems, data management, and communication tools. Each course included three tiers: online courses, skills workshops, and mentored projects. Concurrently, a training of trainers course was taught to ensure sustainable ongoing training. A mixed qualitative and quantitative survey was conducted at the end of each training to assess knowledge and skill acquisition. Results Course elements that incorporated local examples and hands-on skill building activities were most valuable. Discussion boards were sometimes distracting, depending on multiple factors. Mentored projects were most useful when there were clear expectations, pre-existing projects, and clear timelines. Discussion Training in the use of ICT tools is highly valued among researchers in low-income settings, particularly when it includes hands-on skill-building and local examples. Our students demonstrated acquisition of new skills and felt these skills to be valuable in their workplaces. Conclusions Further training in ICT skills should be considered in other low-resource settings using our program as a foundational model.
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http://dx.doi.org/10.5210/ojphi.v11i3.10323 | DOI Listing |
Adv Sci (Weinh)
September 2025
Department of Chemistry, Gyeongsang National University, Jinju, 52828, South Korea.
Patchy nanoparticles (NPs) enable directional interactions and dynamic structural transformations, yet controlling polymeric patch formation with high spatial precision remains a significant challenge. Here, a thermally driven approach is presented to forming polystyrene (PS) patches on low-curvature facets of anisotropic gold nanocubes (NCs) using a single polymer component. Heating in DMF above 90 °C triggers selective desorption of PS chains from high-curvature edges and vertices via Au─S bond dissociation, followed by migration and deposition into rounded patches on flat surfaces.
View Article and Find Full Text PDFF1000Res
September 2025
Faculty of Education, Universidad de La Sabana, Chía, Cundinamarca, Colombia.
This study examines how democratic values have been promoted through natural sciences education over the last 50 years, providing a comprehensive analysis based on a systematic review of relevant literature. The central problem addressed is understanding the role of natural science education in fostering democratic values such as equity, participation, critical thinking, and ethical responsibility. This research aims to identify and analyze strategies, methodologies, and transformative experiences that contribute to the promotion of democratic values.
View Article and Find Full Text PDFInt J Cardiol
September 2025
Regional University Hospital Jean Minjoz, Besancon, France.
Background: The clinical benefit of using ICT for coronary stent optimization remains uncertain in randomized trials, in which a unique ICT was used in most cases.
Aim: To assess the clinical impact of intracoronary techniques (ICT) for stent optimization in high-risk patients.
Methods: The OPTI-XIENCE study is a prospective, observational, multicenter international study including high-risk patients undergoing coronary stenting, in whom any ICT was used for stent optimization at the operator's discretion.
Addict Sci Clin Pract
September 2025
School of Psychology and Public Health, La Trobe University, Centre for Alcohol Policy Research, NR1, Bundoora, Melbourne, 3086, Australia.
Background: Routine use of brief, structured screening tools is essential to detect and provide support for Australians who drink above recommended levels. However, detecting drinking above recommended levels in Aboriginal and Torres Strait Islander Australian primary care settings is complex. Inaccuracies in completing a screening tool such as Alcohol Use Disorders Identification Test - Consumption, can lead to errors in estimating drinking in First Nations contexts where group sharing and episodic drinking make it difficult to accurately estimate alcohol consumption with tools that assume regular drinking patterns.
View Article and Find Full Text PDFFront Plant Sci
August 2025
Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Ensuring sustainable and resilient agricultural systems in the face of intensifying crop disease threats requires intelligent, data-driven tools for early detection and intervention. This study proposes a novel hybrid framework for potato disease classification that integrates copula-based dependency modeling with a Restricted Boltzmann Machine (RBM), further enhanced through hyperparameter tuning using the biologically inspired Puma Optimization (PO) algorithm. The system is trained and evaluated on a real-world dataset derived from structured field experiments, comprising 52 instances and 42 agronomic, microbial, and ecological variables.
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