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Low Resource Settings

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Low resource settings refer to environments, often in developing regions, characterized by limited access to financial, human, and infrastructural resources. These settings face challenges in healthcare, education, and economic development, impacting the quality of services and overall well-being of populations.
lightbulbAbout this topic
Low resource settings refer to environments, often in developing regions, characterized by limited access to financial, human, and infrastructural resources. These settings face challenges in healthcare, education, and economic development, impacting the quality of services and overall well-being of populations.

Key research themes

1. How can healthcare supply chains in low-resource settings be strengthened through Public-Private Partnerships (PPPs)?

This theme investigates the design, implementation, and impact of Public-Private Partnerships (PPPs) in improving healthcare supply chain logistics—including vaccine distribution, cold chain management, and last-mile delivery—in low-resource and low- and middle-income countries (LMICs). The focus is on how PPPs can leverage private sector efficiencies alongside public sector goals to enhance supply chain performance, accountability, and innovation, addressing infrastructure inadequacies and fragmented delivery systems.

Key finding: This paper provides a structured literature review and empirical case analyses from Nigeria, India, Kenya, Rwanda, and Senegal, illustrating that PPP mechanisms—such as service contracts, digital tracking platforms, drone... Read more
Key finding: By reviewing innovative financial models including microfinance, community-based health insurance, and social impact bonds, this study demonstrates that tailored financial mechanisms can mobilize resources to improve... Read more
Key finding: Although not focused exclusively on supply chains, this work shows how organizational culture change facilitated through structured programs can build institutional capacity in constrained environments. The 'train the... Read more

2. What techniques can enhance medical imaging quality for diagnostics in low-resource healthcare environments?

This research area explores advanced super-resolution imaging techniques to improve diagnostic capabilities in low-resource settings where imaging devices typically produce lower quality outputs. It focuses on the application and comparative performance of state-of-the-art machine learning models for enhancing image resolution and diagnostic accuracy, thereby bridging technology gaps caused by equipment and infrastructure limitations.

Key finding: This paper rigorously evaluates multiple super-resolution (SR) models—including dual back-projection internal learning and state-of-the-art GAN and transformer-based approaches—on fetal ultrasound images from five developing... Read more
Key finding: Comparing VIA, a low-cost screening technique, to HPV testing against cytology as a reference, the study found VIA exhibited lower sensitivity (22%) but high specificity (96%) for detecting abnormal cytology in rural... Read more

3. How can energy-efficient resource management optimize computing systems and cloud infrastructures in low-resource or constrained environments?

This theme covers algorithmic, architectural, and software-based approaches to improve energy and resource efficiency in computing platforms—ranging from memory allocation in software to container management in cloud-based serverless environments. It explores optimization methods that reduce power consumption while maintaining or improving performance, particularly relevant for low-resource settings where hardware and energy constraints are critical.

Key finding: The study presents a novel memory allocator design aimed at reducing fragmentation and memory waste in high-memory applications written in C++, yielding up to 1.3× performance improvements with 18% less memory usage compared... Read more
Key finding: By profiling and analyzing microservice-based applications on Kubernetes and Brigade serverless frameworks, the proposed Fifer system achieves 4× improvement in container utilization and 31% reduction in cluster-wide energy... Read more
Key finding: This paper proposes a portable and modular runtime resource manager leveraging Linux control groups (cgroups) to dynamically control CPU, memory, and I/O resources of multicore systems at runtime. The framework enables... Read more
Key finding: The application of deep reinforcement learning (specifically proximal policy optimization) to cloud infrastructure automatic scaling yielded adaptive resource provisioning policies that respond dynamically to time-varying... Read more

All papers in Low Resource Settings

There is a high burden of mental illness in low‐resource areas within the United States and in low‐ and middle‐income countries. Significant challenges in implementing focal treatments in these settings call for a... more
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Background. People with HIV-1 (PWH) exhibit a high fall incidence and increased fracture risk. As little is known about fall frequency and associated factors in PWH residing in lower-middle-income countries (LMIC), we investigated fall... more
We report a case of human immunodeficiency virus-associated pericardial tuberculosis complicated by cardiac tamponade. Emergency management and subsequent therapeutic interventions are described and then discussed with particular focus on... more
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