VAPI: Vectorization of Algorithm for Performance Improvement

This study presents the vectorization of metaheuristic algorithms as the first stage of vectorized optimization implementation. Vectorization is a technique for converting an algorithm, which operates on a single value at a time to one that operates on a collection of values at a time to execute rapidly. The vectorization technique also operates by replacing multiple iterations into a single operation, which improves the algorithm's performance in speed and makes the algorithm simpler and easier to be implemented. It is important to optimize the algorithm by implementing the vectorization technique, which improves the program's performance, which requires less time and can run long-running test functions faster, also execute test functions that cannot be implemented in non-vectorized algorithms and reduces iterations and time complexity. Converting to vectorization to operate several values at once and enhance algorithms' speed and efficiency is a solution for long running times and complicated algorithms. The objective of this study is to use the vectorization technique on one of the metaheuristic algorithms and compare the results of the vectorized algorithm with the algorithm which is non-vectorized.Comment: 21 page

Global health activists' lessons on building social movements for Health for all

The People's Health Movement (PHM) was formed in 2000 and drew inspiration from the Alma Ata Declaration on Primary Health Care's 'Health for All' (1978). Since then PHM has been an active part of a global counter-hegemonic social movement. This study aimed to gain insights on social movement building, drawing on the successes and failures reported by activists over their experiences of working in the Health for All social movement to improve health, justice and equity. Methods: Qualitative research methods were employed in this study to capture complex and historical narratives of individual activists, through semi-structured interviews and subsequent thematic analysis of transcripts. The research design and analysis were informed by social movement theory and literature on health activism as a pathway for social change