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Related Concept Videos

Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Decision Making: P-value Method01:09

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
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Decision Making: Traditional Method01:14

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
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Heuristics01:21

Heuristics

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Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Reason and Intuition01:37

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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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Technical decision-making with higher order structure data: starting a new dialogue.

John P Gabrielson1, William F Weiss

  • 1Attribute Sciences, Amgen Inc., Longmont, Colorado, 80503.

Journal of Pharmaceutical Sciences
|February 26, 2015
PubMed
Summary
This summary is machine-generated.

Characterizing higher-order structure (HOS) is vital for biopharmaceutical product stability and function. A new consortium aims to optimize HOS data use for informed product development decisions.

Keywords:
biophysical methodshigher order structureprotein structureproteinsquaternary structuresecondary structurestructure stabilitytertiary structurethermodynamics

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Area of Science:

  • Biopharmaceutical Science
  • Protein Chemistry
  • Analytical Chemistry

Background:

  • Higher-order structure (HOS) characterization is increasingly critical for biopharmaceutical products.
  • HOS impacts product stability and biological function.
  • Industry, academic, and regulatory stakeholders recognize HOS importance.

Purpose of the Study:

  • Establish a consortium of industry and academic scientists.
  • Define how to effectively use HOS data in product development.
  • Address challenges in HOS characterization.

Main Methods:

  • Consortium formation with experts from industry and academia.
  • Review of current scientific advances in HOS analysis.
  • Facilitation of dialogue among stakeholders.

Main Results:

  • Introduction to the consortium's purpose, objectives, and scope.
  • Identification of key considerations for HOS characterization.
  • Emphasis on the need for appropriate methodologies.

Conclusions:

  • Continued scientific advancements in HOS analysis are essential.
  • Ongoing dialogue among academia, industry, and regulators is crucial.
  • Effective HOS characterization informs technical decision-making in biopharmaceutical development.