Integrating the patient's voice into the research agenda for treatment of chemosensory disorders.

World-wide some 658 million people were infected with coronavirus disease 2019 (COVID-19) and millions suffer from chemosensory impairment associated with long COVID. Current treatments for taste and smell disorders are limited. Involving patients has the potential to catalyze the dynamic exchange and development of new ideas and approaches to facilitate biomedical research and therapeutics.

The effect of the apolipoprotein E ε4 allele and olfactory function on odor identification networks.

Introduction: The combination of apolipoprotein E ε4 (ApoE ε4) status, odor identification, and odor familiarity predicts conversion to mild cognitive impairment (MCI) and Alzheimer's disease (AD).

Methods: To further understand olfactory disturbances and AD risk, ApoE ε4 carrier (mean age 76.38 ± 5.

Measurement of pile-up around spherical indentation by image-plane digital holography.

Instrumented indentation has been used to measure mechanical properties, residual stresses, hardness, and viscoelastic properties, among others, due to its fast and nondestructive procedure. The accurate determination of the contact area between the indenter and the material is important for material property measurements and usually is masked by the pile-up or sink-in phenomenon. This paper presents the application of dual-wavelength image-plane digital holography in order to achieve a full-field determination of the topography around the indentation mark.

Robust method to improve the quality of shearographic phase maps obtained in harsh environments.

This paper presents a new approach to improve the quality of shearographic phase maps acquired in a harsh environment. During in-field nondestructive inspections, the presence of higher disturbances, mainly vibrations, can introduce unknown phase deviations in the sequence of shearographic images. This paper presents a different approach that combines the N-dimensional Lissajous algorithm [Int.

Swarm-based algorithm for phase unwrapping.

A novel algorithm for phase unwrapping based on swarm intelligence is proposed. The algorithm was designed based on three main goals: maximum coverage of reliable information, focused effort for better efficiency, and reliable unwrapping. Experiments were performed, and a new agent was designed to follow a simple set of five rules in order to collectively achieve these goals.