Search Results (2)

Globally prevalent, Autism Spectrum Disorders (ASDs) have negative consequences on students’ social, intellectual, emotional, and post-school transition results. While assessment tools exist, the majority of them were developed from the perspective of clinical psychology and/or healthcare. Some are lengthy and commercialized, and some have weak factorial validity. A feasible and practical assessment method, from the perspective of educational psychology and assessment, is required to better accurately and effectively assess the social and academic performance of ASD students in inclusive settings. With an emphasis on teachers’ practice and output in helping students with ASD in inclusive education, this study evaluated the Practice and Product Inventory of Supporting Students with ASD (PPI-SSA) psychometric qualities. PPI-SSA was designed to be practical, concise, and especially suited for quantitative research on ASD. The inventory was administered to 411 teachers in Hong Kong, and exploratory and confirmatory factor analyses confirmed the PPI-SSA’s reliability and validity. A follow-up path analysis examined the concurrent validity of the PPI-SSA, revealing significant pathways between teachers’ intentions to implement inclusive education and each of the respective dimensions within the PPI-SSA. Measurement invariance results showed that the PPI-SSA demonstrated configural, metric, scalar, and residual invariance across primary and secondary teachers. The PPI-SSA, as a non-commercial instrument, has meaningful implications. It can facilitate the efficient collection of more empirical data on the social and academic achievements of students with ASD, informing evidence-based improvement of inclusive practices. It can assist in teachers’ practice to identify the diverse social and academic needs of students with ASD to align with their corresponding adjustments of teaching strategies. Full article

The protein-rich nature of Saccharomyces cerevisiae has led this yeast to the spotlight concerning the search for antimicrobial peptides. Herein, a <10 kDa peptide-rich extract displaying antibacterial activity was obtained through the autolysis of yeast biomass under mild thermal treatment with self-proteolysis by endogenous peptidases. Estimated IC₅₀ for the peptide pools obtained by FPLC gel filtration indicated improved antibacterial activities against foodborne bacteria and bacteria of clinical interest. Similarly, the estimated cytotoxicity concentrations against healthy human fibroblasts, alongside selective indices ≥10, indicates the fractions are safe, at least in a mixture format, for human tissues. Nano-LC-MS/MS analysis revealed that the peptides in FPLC fractions could be derived from both induced-proteolysis and proteasome activity in abundant proteins, up-regulated under stress conditions during S. cerevisiae biomass manufacturing, including those coded by TDH1/2/3, HSP12, SSA1/2, ADH1/2, CDC19, PGK1, PPI1, PDC1, and GMP1, as well as by other non-abundant proteins. Fifty-eight AMP candidate sequences were predicted following an in silico analysis using four independent algorithms, indicating their possible contribution to the bacterial inactivation observed in the peptides pool, which deserve special attention for further validation of individual functionality. S. cerevisiae-biomass peptides, an unconventional but abundant source of pharmaceuticals, may be promissory adjuvants to treat infectious diseases that are poorly sensitive to conventional antibiotics. Full article