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Related Concept Videos

Nursing Implementation01:15

Nursing Implementation

6.2K
Implementation is the execution of the nursing care plan developed during the planning phase.
The five steps to implementing effective nursing care include reassessing the patient, reviewing and revising the existing nursing care plan, organizing the resources and care delivery, anticipating and preventing complications, and implementing nursing interventions.
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Trial and Error and Algorithm01:12

Trial and Error and Algorithm

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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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Role of Communication in the Nursing Process II: Planning and Implementation01:25

Role of Communication in the Nursing Process II: Planning and Implementation

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Several factors are considered while creating a patient's care plan. Motivation is a factor in improving communication, and patients often require encouragement to try different approaches involving significant change. It is essential to involve the patient and family in decisions about the plan of care to determine whether the suggested methods are acceptable. Consider meeting critical comfort and safety needs before introducing new communication methods and techniques. Allow adequate time...
2.7K
Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation01:24

Nursing Process for Patient and Caregiver Teaching II: Planning and Implementation

2.1K
Planning for learning involves the development of a teaching plan. Teaching plans are similar to nursing care plans—both follow the steps of the nursing process. Planning in the teaching process involves setting goals and outcomes. Here, goals identify what a patient needs to achieve to understand a healthcare topic better, whereas the outcomes are the action to be performed by the patient to achieve the goal within a timeframe. For example, if the goal is to educate the patient about...
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Qualitative Analysis03:46

Qualitative Analysis

24.2K
For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
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Updated: Jan 31, 2026

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
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A retrosynthetic analysis algorithm implementation.

Ian A Watson1, Jibo Wang1, Christos A Nicolaou2

  • 1Discovery Chemistry, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, 46285, USA.

Journal of Cheminformatics
|January 4, 2019
PubMed
Summary
This summary is machine-generated.

This study presents a computational method for designing chemical synthesis routes. The approach uses learned reaction rules to identify feasible synthetic pathways for drug molecules, aiding chemists in their research.

Keywords:
Chemical synthesisReaction informaticsRetrosynthetic analysisSynthetic route design

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Area of Science:

  • Medicinal Chemistry
  • Computational Chemistry
  • Organic Synthesis

Background:

  • Synthetic route design is crucial for discovery chemistry.
  • Human experts traditionally perform this task.
  • Computational methods are emerging due to algorithmic advances and data availability.

Purpose of the Study:

  • To present a novel computational retrosynthetic analysis method.
  • To demonstrate its capability in identifying synthetic routes for approved drugs.

Main Methods:

  • Implementation of a retrosynthetic analysis algorithm.
  • Learning reaction transformation rules from a large patent reaction dataset.
  • Application to a collection of approved drugs.

Main Results:

  • The method successfully identified multiple theoretically feasible synthetic routes.
  • Demonstrated the potential to support research chemists' daily efforts.

Conclusions:

  • Computational retrosynthetic analysis can effectively aid in synthetic route design.
  • The developed method offers a valuable tool for accelerating drug discovery.