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In general, data clumps should be refactored.The presence of data clumps typically indicates poor software design because it would be more appropriate to formally group the different variables together into a single object, and pass around only this object instead of the numerous primitives.
Blue mussels, Mytilus edulis, are sessile and exhibit clumping. Clumping is a behavior in sessile organisms in which individuals of a particular species group closely to one another for beneficial purposes, as can be seen in coral reefs and cochineal populations. This allows for faster reproduction and better protection from predators.
Particle aggregation – Clumping of particles in suspension; Ostwald ripening – Process by which small crystals dissolve in solution for the benefit of larger crystals; Seawater – Water from a sea or an ocean; Smoluchowski coagulation equation – Population balance equation in statistical physics
The clumping became known as Gruber-Durham reaction. Gruber introduced the term agglutinin (from the Latin) for any substance that caused agglutination of cells. French physician Fernand Widal (1862–1929) put Gruber and Durham's discovery to practical use later in 1896, using the reaction as the basis for a test for typhoid fever. Widal found ...
If 'negative', no clumping will be observed. If the slide coagulase test is negative, a tube test should follow as a confirmation. Clumping in both drops is an indication of autoagglutination, so a tube test should be carried out. Tube test is not performed each institutions but most of the result depends on blood cultures from lab.
Clumping has been practiced by bivalve organisms from the times of the fossil record, and the trade-offs between living quite an aggregated lifestyle. Predators such as the gastropod Nucella lamellosa utilize drilling techniques in order to hunt prey such as the blue mussels, and the latter's clumping strategies results in significantly less ...
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The poisson clumping heuristic (PCH), published by David Aldous in 1989, [7] is a model for finding first-order approximations over different areas in a large class of stationary probability models. The probability models have a specific monotonicity property with large exclusions .