Month: August 2023
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Separation of Concerns
Separation of Concerns (SoC) is a design principle emphasizing distinct responsibilities within a system. Originating from Dijkstra’s work, it’s foundational in managing complexity across computer science, software engineering, and broader disciplines, promoting modularity, readability, and reusability.
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Productive Bubbles
“Productive Bubbles,” as identified by Bill Janeway, describe financial episodes where heightened speculation funds technological innovations. Though many such ventures falter, the aftermath often yields transformative technologies that impact industries and societies, demonstrating the paradox of wasteful investment leading to lasting advancements.
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Complete Market
In complete markets, every possible outcome has a corresponding financial instrument, facilitating total risk mitigation. This environment is free of arbitrage and optimally processes market information. Nonetheless, achieving perfect market completeness is often elusive in practice.
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Chicago Pile-1
In 1942, Chicago Pile-1, under Enrico Fermi’s guidance at the University of Chicago, achieved the inaugural controlled nuclear chain reaction. This milestone shaped the trajectory of atomic research, influencing energy sectors and wartime strategies.
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Evolutionary Capacitance
Evolutionary capacitance pertains to an organism’s ability to conceal genetic variations without immediate observable changes. When exposed to certain conditions, these hidden variations emerge, facilitating swift adaptation. This principle sheds light on rapid evolutionary responses and the underpinnings of species adaptability.
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Gish Gallop
Originating from Duane Gish’s debate style, the Gish Gallop involves quickly introducing multiple arguments, complicating timely counter-arguments. This method, prevalent in both public forums and online spaces, primarily seeks to inundate the opposition and sway observers.
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Cognitive Load
Cognitive load denotes the mental strain within working memory. It’s segmented into three kinds: intrinsic, based on subject complexity; extraneous, from delivery; and germane, fostering deep learning. Individual differences, such as age and expertise, and factors like task difficulty affect its impact.