Related Experiment Video
Updated: Jul 24, 2025
06:37
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
3.9K
Retracted: Application of Optimized GA-BPNN Algorithm in English Teaching Quality Evaluation System
Computational Intelligence and Neuroscience
|July 7, 2023
Summary
This article has been retracted. The retraction notice does not provide specific reasons but indicates the content is no longer considered valid or reliable for scientific reference.
Area of Science:
- Scientific Publishing
- Retraction Notices
- Academic Integrity
Context:
- The article identified by DOI: 10.1155/2021/4123254 has been formally retracted.
- Retraction signifies a withdrawal of the published work due to serious concerns.
Purpose:
- To formally announce the retraction of a specific scientific article.
- To inform the scientific community about the withdrawal of this publication.
Summary:
- The article with DOI 10.1155/2021/4123254 is officially retracted.
- This action invalidates the findings and conclusions presented in the original publication.
Impact:
- Researchers should disregard the content of the retracted article.
- Maintaining scientific integrity necessitates prompt communication of retractions.
More Related Videos
Related Concept Videos
01:20Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation
1.8K
Evaluation of the teaching process enables the nurse to determine if the patient's learning needs were met and if training was effective. If the expected outcomes are not met, the care plan is revised, and additional education or reinforcement is provided. Nurses can ask questions after the session or obtain feedback to assess the patient's understanding of the topic.
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning,...
1.8K
01:15Nursing Evaluation
3.4K
The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
3.4K
02:07Improving Translational Accuracy
2.6K
2.6K
01:24Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis
1.6K
The nursing process provides a clinical decision-making framework for patients and families to establish and implement a personalized care plan. Since part of the nurse's duties is to teach patients, the steps of the nursing process are the most effective way to approach instruction. The nursing process and the teaching-learning process are inextricably linked.
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
1.6K
03:00Self-Evaluation: Self-Enhancement and Self-Verification
5.2K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.2K
01:00Detection of Gross Error: The Q Test
6.3K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.3K