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

Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

2.6K
The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
2.6K
Ethical Standards I01:25

Ethical Standards I

1.5K
The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
1.5K
Legal Guidelines for Documentation01:06

Legal Guidelines for Documentation

1.9K
The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:
1.9K
Censoring Survival Data01:09

Censoring Survival Data

505
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
505
Ethical Standards II01:23

Ethical Standards II

1.2K
Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy...
1.2K
Data Reporting and Recording01:24

Data Reporting and Recording

5.3K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.3K

You might also read

Related Articles

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

Sort by
Same author

OsGAPC3 modulates starch synthesis and grain chalkiness by integrating glycolysis and transcriptional regulation in rice.

Plant science : an international journal of experimental plant biology·2026
Same author

Study on microstructural evolution of soft clay under one-dimensional consolidation.

Scientific reports·2026
Same author

An Intelligent Self-Powered Covalent Organic Framework-Based Triboelectric Nanosensor Platform for On-site Picomolar Hg<sup>2+</sup> Ion Monitoring.

ACS sensors·2026
Same author

Directional Moisture-Wicking Janus Triboelectric Nanogenerator for Self-Powered Health Monitoring.

ACS applied materials & interfaces·2026
Same author

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026
Same author

Extracellular Metabolites and Natural Killer Cell Antitumor Function: Mechanisms and Therapeutic Strategies.

Research (Washington, D.C.)·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
06:32

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

1.8K

VisGuard: Securing Visualization Dissemination through Tamper-Resistant Data Retrieval.

Huayuan Ye, Juntong Chen, Shenzhuo Zhang

    IEEE Transactions on Visualization and Computer Graphics
    |December 5, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Vis Guard is a new framework that embeds data links into visualization images, making them resistant to tampering. This ensures critical information is recoverable even after image editing, aiding data retrieval and protection.

    More Related Videos

    Author Spotlight: A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management
    10:23

    Author Spotlight: A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

    Published on: June 23, 2023

    3.5K
    Modified MicroSecure Vitrification: A Safe, Simple and Highly Effective Cryopreservation Procedure for Human Blastocysts
    09:35

    Modified MicroSecure Vitrification: A Safe, Simple and Highly Effective Cryopreservation Procedure for Human Blastocysts

    Published on: March 2, 2017

    12.4K

    Related Experiment Videos

    Last Updated: Jan 9, 2026

    Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
    06:32

    Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

    Published on: July 14, 2023

    1.8K
    Author Spotlight: A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management
    10:23

    Author Spotlight: A Machine-Vision Approach to Transmission Electron Microscopy Workflows, Results Analysis and Data Management

    Published on: June 23, 2023

    3.5K
    Modified MicroSecure Vitrification: A Safe, Simple and Highly Effective Cryopreservation Procedure for Human Blastocysts
    09:35

    Modified MicroSecure Vitrification: A Safe, Simple and Highly Effective Cryopreservation Procedure for Human Blastocysts

    Published on: March 2, 2017

    12.4K

    Area of Science:

    • Computer Science
    • Data Visualization
    • Information Security

    Background:

    • Visualizations are often shared as raster images, leading to loss of interactive features, metadata, and source code.
    • Existing methods for embedding metadata into images for Visualization Image Data Retrieval (VIDR) are fragile and susceptible to common image tampering like cropping and editing.

    Purpose of the Study:

    • To develop a tamper-resistant framework for embedding metadata links into visualization images for reliable data retrieval.
    • To enhance the robustness of embedded data against common image manipulations.

    Main Methods:

    • Developed Vis Guard, a tamper-resistant VIDR framework.
    • Implemented techniques including repetitive data tiling, invertible information broadcasting, and an anchor-based scheme for crop localization to ensure data recoverability.
    • Focused on embedding metadata links directly into visualization images.

    Main Results:

    • Vis Guard reliably embeds metadata links that remain recoverable even after substantial image tampering.
    • Demonstrated superior performance in data retrieval accuracy, embedding capacity, and security against tampering and steg analysis in comprehensive experiments.
    • Validated the effectiveness of techniques like repetitive data tiling and anchor-based crop localization.

    Conclusions:

    • Vis Guard provides a robust solution for safeguarding visualization dissemination and information conveyance.
    • The framework enables applications such as interactive chart reconstruction, tampering detection, and copyright protection.
    • Vis Guard addresses the limitations of previous methods by offering resilience against common image tampering during online distribution.