" Assets Supporting Resilience of Older Adults and Their Communities during the COVID-19 Pandemic.

Despite societal perceptions of older adults as vulnerable, literature on resilience suggests that exposure to adversity and resources gained with life experience contribute to adaptation. One way to explore the nature of resilience is to document assets supporting adaptation. Interviews were conducted with older adults living in Canada at two time points during the COVID-19 pandemic, September 2020-May 2021 (T1) and January-August 2022 (T2).

Occupational Participation Among Older Adults During the COVID-19 Pandemic.

. The COVID-19 pandemic led to abrupt occupational disruption for all people. However, some populations, like older adults, were disproportionately impacted particularly in the earlier waves.

Classifying coherent versus nonsense speech perception from EEG using linguistic speech features.

When a person listens to natural speech, the relation between features of the speech signal and the corresponding evoked electroencephalogram (EEG) is indicative of neural processing of the speech signal. Using linguistic representations of speech, we investigate the differences in neural processing between speech in a native and foreign language that is not understood. We conducted experiments using three stimuli: a comprehensible language, an incomprehensible language, and randomly shuffled words from a comprehensible language, while recording the EEG signal of native Dutch-speaking participants.

The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection.

AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public skin cancer image datasets are comprised of dermoscopic photos and are limited by selection bias, lack of standardization, and lend themselves to development of algorithms that can only be used by skilled clinicians. The SLICE-3D ("Skin Lesion Image Crops Extracted from 3D TBP") dataset described here addresses those concerns and contains images of over 400,000 distinct skin lesions from seven dermatologic centers from around the world.

Modelling Food Substitution Using the Ofcom Nutrient Profiling Model on Population Intakes from the Canadian Community Health Survey-Nutrition 2015.

This study aimed to model how substituting foods consumed by Canadians for alternatives with more favourable nutrient profiling (NP) scores would impact dietary intakes. The Ofcom NP system, developed to help the UK Office of Communication differentiate foods that can be advertised to children, was applied to foods consumed by Canadians aged 2 years and older in the 2015 Canadian Community Health Survey (CCHS) ( = 19,447). Foods were substituted for similar options from the Euromonitor branded food composition database (Scenario 1) or from the primarily aggregated food profiles in the CCHS survey food composition database (Scenario 2) with either the most favourable (optimistic; 1A and 2A) or a more favourable Ofcom score (realistic; 1B and 2B).