The coronavirus disease 2019 (COVID-19) pandemic is a disaster, defined as an event that suspends normal activities and threatens or causes severe, community-wide damage (Masten & Motti-Stefanidi, 2020). While all school children and their families have been impacted by COVID-19 to some degree, the burdens are disproportionately being borne by children experiencing poverty and children from minority racial and ethnic groups. In this article, we consider resilience and risk in the context of the COVID-19 pandemic by focusing on children's developing adaptive systems. When adaptive systems are functioning well, most children will demonstrate resilience to disaster. The capacity of children's adaptive systems to function well depends upon their developmental histories and the social and community resources available to them. We discuss how these factors contribute to children's adaptation and close with recommendations for communities looking to support resilience to the varied adversities of COVID-19. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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http://dx.doi.org/10.1037/spq0000471 | DOI Listing |
Mol Ecol
January 2025
Department of Environmental Toxicology, University of California Davis, Davis, California, USA.
Characterising patterns of genetic diversity including evidence of local adaptation is relevant for predicting and managing species recovering from overexploitation in the face of climate change. Red abalone (Haliotis rufescens) is a species of conservation concern due to recent declines from overharvesting, disease and climate change, resulting in the closure of commercial and recreational fisheries. Using whole-genome resequencing data from 23 populations spanning their entire range (southern Oregon, USA, to Baja California, MEX) we investigated patterns of population connectivity and genotype-environment associations that would reveal local adaptation across the mosaic of coastal environments that define the California Current System (CCS).
View Article and Find Full Text PDFBiotechnol Bioeng
January 2025
Bioprocess Research and Development (BRD), WuXi Biologics, Shanghai, China.
Serving as a dedicated process analytical technology (PAT) tool for biomass monitoring and control, the capacitance probe, or dielectric spectroscopy, is showing great potential in robust pharmaceutical manufacturing, especially with the growing interest in integrated continuous bioprocessing. Despite its potential, challenges still exist in terms of its accuracy and applicability, particularly when it is used to monitor cells during stationary and decline phases. In this study, data pre-processing methods were first evaluated through cross-validation, where the first-order derivative emerged as the most effective method to diminish variability in prediction accuracy across different training datasets.
View Article and Find Full Text PDFBiotechnol Bioeng
January 2025
Instituto de Biologia Experimental e Tecnológica (iBET), Oeiras, Portugal.
The insect cell-baculovirus expression vector system (IC-BEVS) has been an asset to produce biologics for over 30 years. With the current trend in biotechnology shifting toward process intensification and integration, developing intensified processes such as continuous production is crucial to hold this platform as a suitable alternative to others. However, the implementation of continuous production has been hindered by the lytic nature of this expression system and the process-detrimental virus passage effect.
View Article and Find Full Text PDFPlant Biol (Stuttg)
January 2025
Laboratório de Ecologia Vegetal, Departamento de Biologia Geral, Universidade Estadual de Montes Claros, Montes Claros, Minas Gerais, Brazil.
The success of pollen-pistil interaction in Mauritia flexuosa (buriti), a palm adapted to the humid ecosystems, 'veredas', within the Cerrado, is influenced by intrinsic and environmental factors. Its supra-annual flowering, dioecy, and adverse climate conditions pose challenges for fertilization, therefore information on floral biology is essential. This study aimed to ascertain stigma receptivity, and elucidate structural, cytochemical, and ultrastructural aspects of the pollen-pistil relationship.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, 611756, Sichuan, China.
Background: Drug response prediction is critical in precision medicine to determine the most effective and safe treatments for individual patients. Traditional prediction methods relying on demographic and genetic data often fall short in accuracy and robustness. Recent graph-based models, while promising, frequently neglect the critical role of atomic interactions and fail to integrate drug fingerprints with SMILES for comprehensive molecular graph construction.
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