A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications.

There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. However, even skilled observers may diverge in interpreting aerial imagery of complex environments, which may result in downstream instability of models. In this study, we present a framework for assessing annotation reliability by calculating agreement metrics for individual observers against an aggregated set of annotations generated by clustering multiple observers' observations and selecting the mode classification.

A valid novel ground reaction force distribution algorithm to determine midfoot kinetics of gait with a single force plate.

Background: Understanding midfoot joint kinetics is valuable for improved treatment of foot pathologies. Segmental foot kinetics cannot currently be obtained in a standard gait lab without the use of multiple force plates or a pedobarographic plate overlaid with a force plate due to the single ground reaction force (GRF) vector.

Research Question: Can an algorithm be created to distribute the GRF into multiple segmental vectors that will allow for calculation of accurate midfoot and ankle moments?

Methods: 20 pediatric subjects (10 typically developing, 10 with foot pathology) underwent multi-segment foot gait analysis using the Milwaukee Foot Model.

N-mixture models with camera trap imagery produce accurate abundance estimates of ungulates.

Abundance estimates inform ungulate management and recovery efforts. Yet effective and affordable estimation techniques remain absent for most ungulates lacking identifiable marks and inhabiting rugged or highly vegetated terrain. Methods using N-mixture models with camera trap imagery form an appealing solution but remain unvalidated.

UK National Fingerprint Collaborative Exercise 2022-23.

In 2022-2023 the Defence Science and Technology Laboratory (Dstl) designed and conducted a two-part fingerprint Collaborative Exercise (CE). The CE focussed on fingermarks contaminated in blood as they provide a complex scenario for forensic units and it involved both fingermark visualisation and comparison elements. Participants were requested to treat the exercise as a major crime submission following internal protocols and were invited to provide comments relating to how the marks were deposited (if appropriate).

Subperiosteal Abscess of the Orbit: Long-term Trends in Bacteriology and Clinical Outcomes and Current Management Recommendations.

Purpose: To evaluate the impact over time of evolving upper respiratory pathogens, modified microbial terminology, and improved laboratory isolation on the bacteriology and management of sinusitis-related subperiosteal abscess of the orbit.

Methods: Comparative case series of pediatric patients with bacterial sinusitis-related subperiosteal abscess from 2012 to 2022. Outcomes, culture results, age-specific findings, and antibiotic duration were compared with those in 1977 to 1992, 1988 to 1998, 1999 to 2008, and 2002 to 2012 cohorts at the same institution.