A deep learning approach predicting the activity of COVID-19 therapeutics and vaccines against emerging variants.

Understanding which viral variants evade neutralization is crucial for improving antibody-based treatments, especially with rapidly evolving viruses like SARS-CoV-2. Yet, conventional assays are labor intensive and cannot capture the full spectrum of variants. We present a deep learning approach to predict changes in neutralizing antibody activity of COVID-19 therapeutics and vaccine-elicited sera/plasma against emerging viral variants.

Exploring alternative practice placement models in occupational therapy and physiotherapy: perspectives and experiences of learners and practice educators: a qualitative systematic review.

Within physiotherapy and occupational therapy practice placements, there is a predominance of the one-to-one supervision model which creates limitations for placement capacity expansion. Alternative placement models must be explored to meet training requirements for these professions and ensure the availability of a future workforce. The aim of this review is to explore the experiences and perceptions of practice educators and learners regarding alternative placement models, to inform future planning and the adoption of these opportunities.

The Impact of Childhood Trauma on Sensory Processing and Connected Motor Planning and Skills: A Scoping Review.

Background: Traumatic experiences during childhood have been suggested to alter the course of sensory and motor development due to the impact on neural connections within the brain at integral periods. This connection has been alluded to in literature and is discussed anecdotally by practitioners suggesting the impact is commonly seen in practice. Previous scoping reviews in this area have focused solely on the process of sensory modulation without exploring the connection to motor planning.

Farm-level risk factors associated with increased milk β-hydroxybutyrate and hyperketolactia prevalence on farms with automated milking systems.

The objectives of this study were to determine the farm-level hyperketolactia (HKL) prevalence, as diagnosed from the milk BHB concentration, on dairy farms milking with an automated milking system (AMS) and to describe the farm-level housing, management, and nutritional risk factors associated with increased farm-average milk BHB and the within-herd HKL prevalence in the first 45 DIM. Canadian AMS farms (n = 162; eastern Canada, n = 8; Quebec, n = 24; Ontario, n = 75; western Canada n = 55) were visited once between April and September 2019 to record housing and herd management practices. The first test milk data for each cow under 45 DIM were collected, along with the final test of the previous lactations for all multiparous cows, from April 1, 2019, to September 30, 2020.

Farm-level nutritional factors associated with milk production and milking behavior on Canadian farms with automated milking systems.

The objective of this study was to describe the nutritional strategies used on Canadian dairy farms with automated milking systems (AMS), both at the feed bunk and the concentrate offered at the AMS, as well as to determine what dietary components and nutrients, as formulated, were associated with milk production and milking behaviors on those farms. Formulated diets (including ingredients and nutrient content) and AMS data were collected from April 1, 2019, until September 30, 2020, on 160 AMS farms (eastern Canada [East] = 8, Ontario [ON] = 76, Quebec [QC] = 22, and western Canada [West] = 54). Both partial mixed ration (PMR) and AMS concentrate samples were collected from May 1 to September 30, 2019, on 169 farms (East = 12, ON = 63, QC = 42, West = 52).