Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Biodiversity and Human Values01:24

Biodiversity and Human Values

16.4K
Human civilization relies on biodiversity in many ways. Sudden changes in species biodiversity result in environmental changes that can modify weather patterns and therefore human civilizations.
16.4K
Professional Values01:29

Professional Values

9.9K
Nurses are responsible for caring for patients during birth, death, illness, and healing. Professional values guide the decisions and actions that nurses make in their careers. If nurses know the decisions and actions to take, providing patients with exceptional care is possible.
The values that are the foundation of the nursing profession are altruism, autonomy, human dignity, and social justice.
First, altruism refers to the concern for the welfare and well-being of others without personal...
9.9K
Critical Values01:31

Critical Values

10.2K
A critical value is a definite value obtained from a particular probability distribution at a predecided confidence level (or a predecided significance level) for a given population parameter. The critical value provides demarcation that separates the sample statistics that are likely to occur from the ones that are unlikely to occur based on the given probability distribution and the population parameter to be estimated. The critical value for normal distribution is obtained from the z...
10.2K
z Scores and Unusual Values01:07

z Scores and Unusual Values

10.9K
The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
 This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
10.9K
Absolute and Local Extreme Values01:22

Absolute and Local Extreme Values

40
The highest and lowest values of a function, relative to a reference axis, are known as extreme values. These include absolute maximum and absolute minimum values, which represent the highest and lowest points the function reaches across its entire domain. Within a restricted portion of the function, the highest and lowest values are referred to as local maximum and local minimum values, respectively.Periodic functions, such as sine and cosine, show extreme values at infinitely many points due...
40
Techniques of Therapeutic Communication II: Focusing, Paraphrasing, and Summarizing01:23

Techniques of Therapeutic Communication II: Focusing, Paraphrasing, and Summarizing

10.9K
Focusing involves centering a conversation on a message's critical elements or concepts. Focusing is valuable if the talk is vague or patients begin to repeat themselves. Sometimes, when patients are asked about their symptoms, they may go off-topic and try to tell their entire life story. Respectfully, the nurse should bring the conversation back into focus.
This therapeutic technique can also be used when a patient brings up pertinent information during a health-related conversation. The...
10.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Photosynthetic characteristics of Cuscuta japonica and its hosts during parasitization and after detachment].

Ying yong sheng tai xue bao = The journal of applied ecology·2007
Same author

Hepatoma-derived growth factor binds DNA through the N-terminal PWWP domain.

BMC molecular biology·2007
Same author

[Evaluation of bubble oxygen inhalators' performances and an investigation on their solutions for improvement].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation·2007
Same author

Relaxation mechanisms of neferine on the rabbit corpus cavernosum tissue in vitro.

Asian journal of andrology·2007
Same author

[Effect of niacin on HDL-induced cholesterol efflux and LXRalpha expression in adipocytes of hypercholesterolemic rabbits].

Zhonghua xin xue guan bing za zhi·2007
Same author

Total synthesis of (+/-)-communesin F.

Journal of the American Chemical Society·2007
Same journal

Structural Generalizability: The Case of Similarity Search.

Proceedings. ACM-SIGMOD International Conference on Management of Data·2026
Same journal

Flexible and Feasible Support Measures for Mining Frequent Patterns in Large Labeled Graphs.

Proceedings. ACM-SIGMOD International Conference on Management of Data·2024
Same journal

iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks.

Proceedings. ACM-SIGMOD International Conference on Management of Data·2021
Same journal

Optimal Join Algorithms Meet Top-<i>k</i>.

Proceedings. ACM-SIGMOD International Conference on Management of Data·2021
Same journal

Near-Optimal Distributed Band-Joins through Recursive Partitioning.

Proceedings. ACM-SIGMOD International Conference on Management of Data·2021
Same journal

Finding Related Tables in Data Lakes for Interactive Data Science.

Proceedings. ACM-SIGMOD International Conference on Management of Data·2020
See all related articles

Related Experiment Video

Updated: Jan 20, 2026

Measuring Transcellular Interactions through Protein Aggregation in a Heterologous Cell System
04:47

Measuring Transcellular Interactions through Protein Aggregation in a Heterologous Cell System

Published on: May 22, 2020

4.0K

QAGView: Interactively Summarizing High-Valued Aggregate Query Answers.

Yuhao Wen1, Xiaodan Zhu1, Sudeepa Roy1

  • 1Department of Computer Science, Duke University Durham, North Carolina.

Proceedings. ACM-SIGMOD International Conference on Management of Data
|August 27, 2019
PubMed
Summary
This summary is machine-generated.

QAGView (Quick Aggregate View) generates diverse and relevant summaries of query results. This system ensures coverage of top answers, offering users an informative overview with interactive parameter tuning.

More Related Videos

4D Imaging of Protein Aggregation in Live Cells
08:59

4D Imaging of Protein Aggregation in Live Cells

Published on: April 5, 2013

17.8K
Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.7K

Related Experiment Videos

Last Updated: Jan 20, 2026

Measuring Transcellular Interactions through Protein Aggregation in a Heterologous Cell System
04:47

Measuring Transcellular Interactions through Protein Aggregation in a Heterologous Cell System

Published on: May 22, 2020

4.0K
4D Imaging of Protein Aggregation in Live Cells
08:59

4D Imaging of Protein Aggregation in Live Cells

Published on: April 5, 2013

17.8K
Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.7K

Area of Science:

  • Data Management
  • Information Retrieval
  • Human-Computer Interaction

Background:

  • Presenting large query result sets to users effectively is challenging.
  • Existing methods for summarizing and diversifying query results aim to improve information presentation.
  • Aggregate query answers often contain numerous tuples, necessitating efficient summarization techniques.

Purpose of the Study:

  • To introduce QAGView (Quick Aggregate View), a system for providing holistic overviews of high-valued aggregate query answers.
  • To ensure summaries offer a coverage guarantee for a user-specified number of top-valued answers.
  • To generate summaries that are both diverse and relevant, avoiding overlap and focusing on valuable data.

Main Methods:

  • Developing a system that generates summaries highlighting high-level properties from subsets of query answers.
  • Implementing a coverage guarantee mechanism for a user-defined number of top-valued answers.
  • Employing optimizations for quick parameter preview and real-time visualization of summary evolution.

Main Results:

  • QAGView presents query results as diverse, relevant, and guaranteed-coverage summaries.
  • Users can view summaries as clusters and expand them to see constituent result tuples.
  • Interactive parameter tuning allows users to fine-tune summary generation based on preferences.

Conclusions:

  • QAGView offers an effective approach to summarizing and diversifying aggregate query results.
  • The system enhances user understanding by providing informative, high-level overviews.
  • Interactive features and optimizations facilitate user-driven exploration of query result summaries.