Evidence-based early childhood development (ECD) programs that strengthen nurturing parenting skills and promote early stimulation, such as Reach Up (RU) and Care for Child Development (CCD), are critical investments for interrupting cycles of intergenerational poverty; however, the implementation impact of these programs varies greatly globally. Analyzing systematically the evidence on the implementation pathways based on contexts (i.e., external and internal influences on intervention implementation), implementation strategies (i.e., mechanisms used to promote program initiation, design, and delivery with existing systems), and implementation outcomes (i.e., related to the implementation goals) can increase the likelihood of implementation success. Our scoping review aimed to identify implementation pathways of RU and CCD programs in low- and middle-income countries. A search in English, Spanish, and Portuguese of grey literature and five databases of peer reviewed literature; from inception through July 16, 2022, yielded 2,267 publications. Using predetermined eligibility criteria, 75 records yielded implementation details for 33 programs across 23 low- and middle-income countries. Two reviewers independently extracted program data on context, implementation strategies, and implementation outcomes following a program theory. A thematic analysis identified 37 implementation strategies across six "building blocks of implementation": program emergence, intersectoriality, intervention characteristics, workforce, training, and monitoring systems. Implementation pathways across building blocks are highly influenced by contextual factors, such as infrastructure, social norms, and the target population's demand and interest, which may shape different implementation outcomes. Six 'building blocks' shaping implementation pathways of CCD and RU in LMICs were identified. The careful consideration of context and use of intentional evidence-based planning can enable the successful implementation of ECD nurturing care interventions. We recommend the use of the ECD Implementation Checklist for Enabling Program Scale Up to guide decision-making regarding context and implementation strategies to support implementation outcomes and subsequent ECD program success.
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http://dx.doi.org/10.1371/journal.pgph.0001542 | DOI Listing |
Microb Biotechnol
January 2025
Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.
Glucose is the most abundant monosaccharide and a principal substrate in biotechnological production processes. In Pseudomonas, this sugar is either imported directly into the cytosol or first oxidised to gluconate in the periplasm. While gluconate is taken up via a proton-driven symporter, the import of glucose is mediated by an ABC-type transporter, and hence both require energy.
View Article and Find Full Text PDFMed Phys
January 2025
Department of Engineering Physics, Tsinghua University, Beijing, China.
Background: X-ray grating-based dark-field imaging can sense the small angle scattering caused by object's micro-structures. This technique is sensitive to the porous microstructure of lung alveoli and has the potential to detect lung diseases at an early stage. Up to now, a human-scale dark-field CT (DF-CT) prototype has been built for lung imaging.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland.
Analysis of the symmetry of the brain hemispheres at the level of individual structures and dominant tissue features has been the subject of research for many years in the context of improving the effectiveness of imaging methods for the diagnosis of brain tumor, stroke, and Alzheimer's disease, among others. One useful approach is to reliably determine the midline of the brain, which allows comparative analysis of the hemispheres and uncovers information on symmetry/asymmetry in the relevant planes of, for example, CT scans. Therefore, an effective method that is robust to various geometric deformations, artifacts, varying noise characteristics, and natural anatomical variability is sought.
View Article and Find Full Text PDFMed Phys
January 2025
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Background: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in such treatments.
Purpose: This study seeks to address this gap by developing a DL model for independent MC dose (MCDose) prediction, aiming to facilitate OART and rapid QA implementation for HIT.
Nat Mater
January 2025
Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
Machine learning algorithms have proven to be effective for essential quantum computation tasks such as quantum error correction and quantum control. Efficient hardware implementation of these algorithms at cryogenic temperatures is essential. Here we utilize magnetic topological insulators as memristors (termed magnetic topological memristors) and introduce a cryogenic in-memory computing scheme based on the coexistence of a chiral edge state and a topological surface state.
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