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

Role of Communication in the Nursing Process III: Evaluation and Documentation01:08

Role of Communication in the Nursing Process III: Evaluation and Documentation

2.1K
A successful patient outcome depends mainly on the evaluation stage of the nursing process. Evaluation determines effectiveness by reviewing what was done previously after the completion of nursing interventions. Every time a healthcare professional steps in or administers treatment, they must reassess or evaluate the action to ensure the intended result. During the evaluation phase, there are three probable patient outcomes:
2.1K
Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation01:20

Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation

2.6K
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,...
2.6K
Post-traumatic Stress Disorder01:27

Post-traumatic Stress Disorder

558
Post-traumatic stress disorder (PTSD) is a psychiatric condition that arises following exposure to traumatic events such as natural disasters, forced displacement, or severe accidents. It significantly impairs individuals' ability to cope with daily activities and disrupts their emotional and psychological equilibrium.
Symptoms and Behavioral Manifestations
A spectrum of distressing symptoms characterizes PTSD. Recurrent flashbacks, where individuals involuntarily relive traumatic events,...
558
Parallel Processing01:20

Parallel Processing

724
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
724
Information Processing Approach01:30

Information Processing Approach

579
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
579
Processes of Self-Presentation01:29

Processes of Self-Presentation

249
Effective self-presentation is a central component of social interaction and identity construction. It relies on the dynamic processes of defining the situation and engaging in self-disclosure. These mechanisms help individuals navigate social context expectations and manage how others perceive them, fostering mutual understanding and relationship development.Defining the SituationSocial situations are shaped by collectively understood frames—a set of widely understood rules or...
249

You might also read

Related Articles

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

Sort by
Same author

In Silico Guided Synthesis and Biological Evaluation of s-Triazine Derivatives as Potential Antibacterial Agents.

Recent advances in anti-infective drug discovery·2026
Same author

Nutritional and Performance Effects of Partial Replacement of Maize With Cassava Root (<i>Manihot esculenta</i> Crantz) Meal in Broiler Diets.

Food science & nutrition·2026
Same author

Chemical and Mechanical Evolution of a Volumetric Additive Manufacturing (VAM) Resin Under High-Temperature Storage.

Polymers·2026
Same author

Effects of Visible and UV Illumination on Dimensional Accuracy and Surface Roughness in Dual-Color Volumetric Additive Manufacturing (VAM).

Materials (Basel, Switzerland)·2026
Same author

The global scenario of lumpy skin disease, its epidemiological investigation, and prevalence in livestock: A review.

Veterinary and animal science·2026
Same author

Potential of Using Cannabidiol as a Therapeutic Molecule Against Various Cell Signaling Molecules Involved in Breast Cancer Complications: A Bioinformatics Approach.

Current drug discovery technologies·2026

Related Experiment Video

Updated: Feb 3, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

766

MiBio: A dataset for OCR post-processing evaluation.

Jie Mei1, Aminul Islam2, Abidalrahman Moh'd1

  • 1Faculty of Computer Science, Dalhousie University, Canada.

Data in Brief
|October 27, 2018
PubMed
Summary
This summary is machine-generated.

We present a new dataset for evaluating optical character recognition (OCR) post-processing models. This resource aids in benchmarking OCR error correction using aligned texts from a biodiversity book.

More Related Videos

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

370
Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
08:58

Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing

Published on: August 1, 2025

3.1K

Related Experiment Videos

Last Updated: Feb 3, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

766
A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

370
Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
08:58

Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing

Published on: August 1, 2025

3.1K

Area of Science:

  • Computational Linguistics
  • Bioinformatics
  • Digital Humanities

Background:

  • Optical Character Recognition (OCR) models often produce errors.
  • Evaluating and improving OCR post-processing is crucial for text digitization.
  • A standardized dataset is needed for robust model benchmarking.

Purpose of the Study:

  • Introduce a novel dataset for OCR post-processing model evaluation.
  • Provide aligned OCR texts and ground truth for a biodiversity book.
  • Facilitate benchmark evaluations for OCR correction techniques.

Main Methods:

  • Curated a dataset from an English biodiversity book.
  • Aligned OCR-generated texts with ground truth recognition texts.
  • Extracted OCR errors, positions, corrections, and segmentation information into TSV files.

Main Results:

  • The dataset includes 2907 OCR-generated errors with detailed positional and correction information.
  • Ground truth word and sentence segmentation is provided for benchmark evaluation.
  • Quantitative data analysis of the dataset's characteristics is presented.

Conclusions:

  • The introduced dataset serves as a valuable resource for OCR post-processing research.
  • Enables standardized evaluation and comparison of OCR error correction models.
  • Facilitates advancements in accurate text recognition for biodiversity literature.