Vote System
Vote System - Related Videos
04:49
Realism in Experimentation
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2023
Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University In an ideal world researchers would conduct their studies in real world settings where behaviors naturally happen. For example, if you want to see what influences individuals’ voting behavior, it would be best to watch them vote. However, research in these settings is not always ethical or even practical. Further, a researcher may want more control over the setting to better pinpoint the exact...
13:44
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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Cited by 13 •
2013
We demonstrate methods for the detection of architectural distortion in prior mammograms. Oriented structures are analyzed using Gabor filters and phase portraits to detect sites of radiating tissue patterns. Each site is characterized and classified using measures to represent spiculating patterns. The methods should assist in the detection of breast cancer.
14:43
A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
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Cited by 40 •
2018
This manuscript describes the Research Prioritization by Affected Communities (RPAC) protocol and findings from its use with women at risk for preterm birth. Using the protocol, women identified and prioritized their unanswered questions about pregnancy, birth and neonatal care aimed at influencing research priority setting by funders and researchers.
06:45
Automated Joint Space Detection Improves Bone Segmentation Accuracy
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2025
The development of an automated joint space detection workflow enabled high-throughput segmentation of distinct murine hindpaw bones with >98% accuracy in wild-type animals. Flexible application to forepaws and paws with inflammatory-erosive arthritis was achieved, but with deprecated performance that warrants further optimization in future studies using publicly available data.
07:54
Drug-Induced Sleep Endoscopy (DISE) with Target Controlled Infusion (TCI) and Bispectral Analysis in Obstructive Sleep Apnea
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Cited by 16 •
2016
The aim of this study was to establish a standardized protocol for sleep endoscopy to differentiate obstruction patterns in obstructive sleep apnea (OSA). Target-controlled infusion (TCI) of the sedative was combined with real-time monitoring of the depth of sedation using bispectral analysis.
FAQs
The classification captures more than whether obstruction is present: clinicians document both its degree and configuration at each of the four anatomical sites. Degree describes how much the airway narrows, while configuration records the pattern of collapse. Keeping these observations separate preserves clinically relevant detail and creates a structured description of the patient’s obstruction.
Sedation approximates natural sleep because the airway behavior being assessed is dynamic and may not be represented by an awake examination. During the assessment, a flexible endoscope visualizes collapse as it occurs at the velum, oropharyngeal lateral walls, tongue base, and epiglottis. This connects observed airway behavior with its anatomical location.
The four-site assessment shows whether obstruction is concentrated in one region or involves several parts of the upper airway. That patient-specific pattern gives clinicians a more detailed basis for considering treatment approaches, including surgery, oral appliances, or hypoglossal nerve stimulation. The resulting plan can therefore reflect the observed mechanism rather than relying only on a general diagnosis.
VOTE provides a standardized vocabulary for describing the location, degree, and configuration of collapse. Clinicians can communicate findings using the same anatomical framework, while researchers can compare observations more consistently across clinical studies. Standardization does not eliminate patient differences; instead, it organizes those differences into records that are easier to interpret and discuss.
Clinicians first administer sedation intended to approximate natural sleep, then use a flexible endoscope to observe the upper airway dynamically. They examine the velum, oropharyngeal lateral walls, tongue base, and epiglottis, recording the degree and configuration of collapse at each site. The completed classification summarizes the observed obstruction for subsequent clinical interpretation.
Clinicians may use the findings when selecting or evaluating treatment strategies for a patient with obstructive sleep apnea. The recorded collapse pattern can support decisions involving surgery, oral appliances, or hypoglossal nerve stimulation, while also providing a clear account of the airway mechanism. Its structured format helps relate endoscopic observations to individualized care planning.