Background: The involvement of Global Health Initiatives (GHIs) in delivering health services in low and middle income countries (LMICs) depends on effective collaborative working at scales from the local to the international, and a single GHI is effectively constructed of multiple collaborations. Research is needed focusing on how collaboration functions in GHIs at the level of health service management. Here, collaboration between local implementing agencies and departments of health involves distinct power dynamics and tensions. Using qualitative data from an evaluation of a health partnership in South Africa, this article examines how organisational power dynamics affected the operation of the partnership across five dimensions of collaboration: governance, administration, organisational autonomy, mutuality, and norms of trust and reciprocity.
Results: Managing the tension between the power to provide resources held by the implementing agency and the local Departments' of Health power to access the populations in need of these resources proved critical to ensuring that the collaboration achieved its aims and shaped the way that each domain of collaboration functioned in the partnership.
Conclusions: These findings suggest that it is important for public health practitioners to critically examine the ways in which collaboration functions across the scales in which they work and to pay particular attention to how local power dynamics between partner organisations affect programme implementation.
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http://dx.doi.org/10.1186/s12992-016-0228-y | DOI Listing |
Glob Health Res Policy
January 2025
Faculty of Medicine and Health, Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia.
There is a growing tendency in global discourse to describe a health issue as a security issue. But why is this health security language and framing necessary during times of crisis? Why is the term "health security" used when perhaps simply saying "public health" would do? As reference to 'health security' grows in contemporary discourse, research, advocacy, and policymaking, its prominence is perhaps most consequential in public health. Existing power dynamics in global health are produced and maintained through political processes.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical Engineering, Imam Khomeini Naval Science University of Nowshahr, Nowshahr, Iran.
The maximum power delivered by a photovoltaic system is greatly influenced by atmospheric conditions such as irradiation and temperature and by surrounding objects like trees, raindrops, tall buildings, animal droppings, and clouds. The partial shading caused by these surrounding objects and the rapidly changing atmospheric parameters make maximum power point tracking (MPPT) challenging. This paper proposes a hybrid MPPT algorithm that combines the benefits of the salp swarm algorithm (SSA) and hill climbing (HC) techniques.
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January 2025
Electrical Computer and Control Engineering Department, Faculty of Engineering, Suez Canal University, Ismailia, 41522, Egypt.
This study presents a novel optimization algorithm known as the Energy Valley Optimizer Approach (EVOA) designed to effectively develop six optimal adaptive fuzzy logic controllers (AFLCs) comprising 30 parameters for a grid-tied doubly fed induction generator (DFIG) utilized in wind power plants (WPP). The primary objective of implementing EVOA-based AFLCs is to maximize power extraction from the DFIG in wind energy applications while simultaneously improving dynamic response and minimizing errors during operation. The performance of the EVOA-based AFLCs is thoroughly investigated and benchmarked against alternative optimization techniques, specifically chaotic billiards optimization (C-BO), genetic algorithms (GA), and marine predator algorithm (MPA)-based optimal proportional-integral (PI) controllers.
View Article and Find Full Text PDFNat Commun
January 2025
Department of Chemistry, Theoretical Chemistry Institute, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Identifying transitional states is crucial for understanding protein conformational changes that underlie numerous biological processes. Markov state models (MSMs), built from Molecular Dynamics (MD) simulations, capture these dynamics through transitions among metastable conformational states, and have demonstrated success in studying protein conformational changes. However, MSMs face challenges in identifying transition states, as they partition MD conformations into discrete metastable states (or free energy minima), lacking description of transition states located at the free energy barriers.
View Article and Find Full Text PDFeNeuro
January 2025
Neurophysiology of Everyday Life Group, Department of Psychology, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany
A comprehensive analysis of everyday sound perception can be achieved using Electroencephalography (EEG) with the concurrent acquisition of information about the environment. While extensive research has been dedicated to speech perception, the complexities of auditory perception within everyday environments, specifically the types of information and the key features to extract, remain less explored. Our study aims to systematically investigate the relevance of different feature categories: discrete sound-identity markers, general cognitive state information, and acoustic representations, including discrete sound onset, the envelope, and mel-spectrogram.
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