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For Barzun, these systematic models of cause and effect run counter to the temper of history, which is intuitive, concrete, beholden to time and evidence: History, like a vast river, propels logs, vegetation, rafts, and debris; it is full of live and dead things, some destined for resurrection; it mingles many waters and holds in solution invisible substances stolen from distant soils.
But as more and more social scientists have recently become aware, efforts to place these concrete mechanisms of change into larger, more systematic models of development all too commonly succumb to the same faults of unilinearity and specious universalism that early-20th-century critics found in 19th-century social evolution.
Large-scale systematic models are now available at a genome level for many biological processes.
This study demonstrates how many-objective long-term groundwater monitoring (LTGM) network design tradeoffs evolve across multiple management periods given systematic models errors (i.e., predictive bias), groundwater flow-and-transport forecasting uncertainties, and contaminant observation uncertainties.
Even though, the numerous advantages reported in the literature, and the pros and cons of EC in comparison to alternative processes, its industrial application is not yet considered as an established wastewater technology because of the lack of systematic models for reactor scale-up.
Our analysis indicates that the cell type-specific composition of the resting CD8+ T cell surface is now largely defined, providing an insight into the overall compositional complexity of the mammalian cell surface and a framework for formulating systematic models of T cell surface-dependent processes, such as T cell receptor triggering.
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The need for a systematic modelling framework is highlighted together with modelling issues related to model identification, adaptation and extension.
Without systematic model for startup to implement to achieve these requirements.
A systematic model calibration procedure is needed to find all these parts in the model.
Our systematic modeling approach may improve the simulation and design of disease treatment options.
Studies have also shifted toward systematic modeling to approximate adsorber design parameters.
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