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The WHO said there was an "urgent need" for the advances made in detection, diagnoses and treatment of breast cancer to be implemented in developing nations.
This is far from a trivial concern, as most of the policies will be implemented in developing countries that usually lack the needed capabilities and are subject to corruption.
The concept of patient-centered care can also be implemented in developing countries by exploring patient perspectives and giving them an opportunity to voice their healthcare needs and desires [ 16].
Vaccines and ITNs continue to be implemented in developing countries at approximately the same pace as HepB in the 1980s and 1990s, while RDTs are being implemented slower than HepB.
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A conceptual approach that focuses on resource utilization and sustainability, capacity building is a term often used in international development where programs are implemented in developing countries with the overall aim to improve the population's skills, abilities, and organizational capabilities.
It is implemented in developing regions in Africa and uses dynamic zone-based topology.
Various conservation initiatives have been implemented in developing countries with increasing involvement on the part of local governments.
This suggests that there are still missed resilience opportunities in the way that the innovation is implemented in developing countries and remote areas in particular.
Numerous renewable energy electrification programs that have been implemented in developing countries over the past decade have met with relatively limited success.
Various PES programs have also been implemented in developing countries including Costa Rica (Payments for Environmental Services Program), Bolivia (Ecological Compensation System program), Mexico (Payments for Hydrological Environmental Services program), Colombia (Environment Protection Project), or El Salvador (Environment Conservation Program).
Because of the great complexity associated with the problem, two machine learning techniques, Support Vector Machines (SVM) and Support Vector Machines trained with Sequential Minimal Optimization (SMO), are implemented in developing model classification.
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