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Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.1K
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.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.1K
Decision Making01:20

Decision Making

184
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.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
184
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.6K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.6K
Block Diagram Reduction01:22

Block Diagram Reduction

272
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
272
Node Analysis for AC Circuits01:14

Node Analysis for AC Circuits

367
Consider an angioplasty system featuring a catheter equipped with a turbine, a critical tool for removing plaque deposits from coronary arteries. This intricate medical device operates using a circuit model reminiscent of a dual-node RLC circuit powered by a current-controlled voltage source.
To unravel the complexities of this system, nodal analysis is employed, a powerful technique founded on Kirchhoff's current law (KCL), which remains valid for phasors. AC circuits can effectively be...
367
Survival Tree01:19

Survival Tree

136
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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Updated: Aug 27, 2025

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
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The Circular Decision-Making Tree: an Operational Framework.

Rachel Greer1, Timo von Wirth1, Derk Loorbach1

  • 1Dutch Research Institute for Transitions (DRIFT), Erasmus University Rotterdam, Rotterdam, Netherlands.

Circular Economy and Sustainability
|September 26, 2022
PubMed
Summary

Transitioning to a circular economy requires new decision-making frameworks. This study introduces the Circular Decision-Making Tree to guide businesses and policymakers toward sustainable practices.

Keywords:
Circular economyDecision-makingDiffusion potentialEco-efficiencySustainability transitionsSustainable innovation

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Area of Science:

  • Environmental Science
  • Economics
  • Sociology

Background:

  • The global economy largely operates on a linear model (take-make-dispose), hindering circular economy adoption.
  • Despite ambitions, the transition to a circular economy faces challenges due to existing linear business models and consumption patterns.
  • Current decision-making processes often prioritize linear optimization, impeding the shift towards circularity.

Purpose of the Study:

  • To develop an operational framework supporting decision-making for the circular economy transition.
  • To provide a tool for policymakers, investors, and entrepreneurs to navigate trade-offs in circular innovation.
  • To integrate circularity principles into decision logic, moving beyond linear optimization.

Main Methods:

  • Synthesized insights from existing frameworks and integrated them with transition theory and circular economy principles.
  • Developed the "Circular Decision-Making Tree" framework.
  • Verified the framework's logic and applicability through usability workshops with 50 stakeholders across four countries (Netherlands, Brazil, UK, South Africa).

Main Results:

  • The Circular Decision-Making Tree framework was developed and tested.
  • Stakeholder feedback from diverse contexts (policy, practice, academia) was gathered to refine the framework.
  • The framework aims to support decisions considering innovation quality and diffusion potential within a circular economy context.

Conclusions:

  • A novel decision-making logic based on circularity principles has been established.
  • The Circular Decision-Making Tree offers a practical tool to facilitate the transition to a circular economy.
  • Further research is needed to validate the framework's operationalization and long-term impact.