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

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

270
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
270
Pilot and Numeric Relaying01:21

Pilot and Numeric Relaying

496
Pilot relaying is a type of differential protection used in power systems. It compares electrical quantities at the terminals of equipment via a communication channel instead of direct relay interconnection. This method is essential for transmission lines where the terminals are far apart, typically up to 80 km for lines with 69 to 115 kV ratings. Four types of communication channels are used for pilot relaying:
496
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

2.0K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
2.0K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

488
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
488
Frustration and Conflict: Approach-Approach, Approach-Avoidance01:20

Frustration and Conflict: Approach-Approach, Approach-Avoidance

553
Frustration occurs when people are obstructed or prevented from achieving a desired goal or fulfilling a perceived need. For example, when someone's input is ignored in a discussion, it can lead to feelings of frustration. Conflict, however, arises from opposing interests, goals, or actions. Conflicts can take various forms based on the nature of these opposing desires or goals.
One common type of conflict is the Approach–Approach Conflict. In this case, a person faces two desirable...
553
Structures of Solids02:22

Structures of Solids

18.8K
Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
18.8K

You might also read

Related Articles

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

Sort by
Same author

Schneiderian membrane-derived cells have inferior bone-forming capacities compared to other human periosteal-derived cells.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery·2026
Same author

Zygomatic implants as a solution for severe maxillary atrophy: a retrospective analysis of the original Brånemark scheme vs the quad zygoma scheme.

International journal of oral and maxillofacial surgery·2026
Same author

Systematic search and assessment of quality indicators in dental implantology.

Journal of stomatology, oral and maxillofacial surgery·2025
Same author

Validation of mixed reality in planning orbital reconstruction with patient-specific implants.

Scientific reports·2025
Same author

Response to letter to editor: Clinical outcome of guided endodontics versus freehand drilling: A controlled clinical trial, single arm with external control group.

International endodontic journal·2024
Same author

Elastic and magnetic characteristics of nano-spinel ferrite Co<sub>0.5</sub> Mg<sub>x</sub>Cu<sub>0.5-x</sub>Fe<sub>2</sub>O<sub>4</sub>.

Scientific reports·2024

Related Experiment Video

Updated: Feb 15, 2026

Assessment of Midline Lingual Point-Pressure Somatosensation Using Von Frey Hair Monofilaments
06:31

Assessment of Midline Lingual Point-Pressure Somatosensation Using Von Frey Hair Monofilaments

Published on: February 21, 2020

8.8K

Semi-automatic forensic approach using mandibular midline lingual structures as fingerprint: a pilot study.

E Shaheen1, B Mowafy2, C Politis1

  • 1OMFS IMPATH research group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven and Oral and Maxillofacial Surgery, University Hospitals Leuven, Leuven, Belgium.

The Journal of Forensic Odonto-Stomatology
|February 1, 2018
PubMed
Summary

This study developed a computer method to identify individuals using mandibular canal structures, achieving 100% accuracy in forensic identification. This technique offers a fully automatic approach for victim identification from dental scans.

Keywords:
finger printforensic identificationforensic odontology victim identification.mandibular lingual canals

More Related Videos

Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain
05:28

Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain

Published on: August 9, 2024

1.7K
3D Imaging of PDL Collagen Fibers during Orthodontic Tooth Movement in Mandibular Murine Model
09:33

3D Imaging of PDL Collagen Fibers during Orthodontic Tooth Movement in Mandibular Murine Model

Published on: April 15, 2021

5.7K

Related Experiment Videos

Last Updated: Feb 15, 2026

Assessment of Midline Lingual Point-Pressure Somatosensation Using Von Frey Hair Monofilaments
06:31

Assessment of Midline Lingual Point-Pressure Somatosensation Using Von Frey Hair Monofilaments

Published on: February 21, 2020

8.8K
Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain
05:28

Author Spotlight: Unveiling the Molecular Basis of Pain Perception and Neuropathic Pain

Published on: August 9, 2024

1.7K
3D Imaging of PDL Collagen Fibers during Orthodontic Tooth Movement in Mandibular Murine Model
09:33

3D Imaging of PDL Collagen Fibers during Orthodontic Tooth Movement in Mandibular Murine Model

Published on: April 15, 2021

5.7K

Area of Science:

  • Forensic Anthropology
  • Dental Imaging
  • Biometrics

Background:

  • Previous research highlighted the potential of mandibular midline neurovascular canals for forensic identification.
  • Observer studies achieved high accuracy (95%), prompting the development of automated methods.

Purpose of the Study:

  • To introduce a semi-automatic computer recognition system for mandibular canal analysis.
  • To validate the accuracy of this novel automated identification method.

Main Methods:

  • Utilized Computer Tomography (CT) and Cone Beam Computer Tomography (CBCT) scans of mandibles.
  • Developed a voxel-based matching classifier to distinguish between 'Matched' and 'Unmatched' scans.
  • Simulated AM and PM scanning conditions and tested the protocol on independent datasets.

Main Results:

  • The classifier demonstrated a significant difference between 'Unmatched' (mean 0.41) and 'Matched' (mean 0.86) classes.
  • The testing phase confirmed a 100% accuracy rate for the computerized identification approach.

Conclusions:

  • The validated semi-automatic method shows promise for fully automatic victim identification.
  • This technique relies solely on mandibular midline canal structures from available CBCT/CT data.