Although knowledge about the efficacy of behavioral interventions for children with ASD is increasing, studies of effectiveness and transportability to community settings are needed. The current study conducted an effectiveness trial to compare distance learning vs. live instruction for training community-based therapists to implement the Early Start Denver Model. Findings revealed: (a) distance learning and live instruction were equally effective for teaching therapists to both implement the model and to train parents; (b) didactic workshops and team supervision were required to improve therapists' skill use; (c) significant child gains occurred over time and across teaching modalities; and (d) parents implemented the model more skillfully after coaching. Implications are discussed in relation to the economic and clinical utility of distance learning.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2777219 | PMC |
http://dx.doi.org/10.1007/s10803-009-0796-2 | DOI Listing |
Sci Rep
January 2025
School of Mechanical Engineering, Liaoning Technical University, Fuxin, 123000, China.
Drums are the core working mechanism of the coal mining machine for coal mining. The structural design level of the drum is crucial for mining efficiency and safety production. Traditional design methods not only have long design cycles and high costs, but also limited design capabilities.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Anesthesiology, Perioperative, and Pain Medicine, School of Medicine, Stanford University, Stanford, USA.
Nicotinamide Adenine Dinucleotide (NAD) is implicated in bioenergetics, DNA repair, and senescence. Depletion of NAD is associated with aging and neurodegenerative disease, prompting a growing interest in NAD supplementation. With rising over-the-counter use of NAD, understanding their impact on anesthetic recovery becomes essential.
View Article and Find Full Text PDFNat Commun
January 2025
Chair for Bioinformatics, Institute for Computer Science, Friedrich Schiller University Jena, Jena, Germany.
Small molecule machine learning aims to predict chemical, biochemical, or biological properties from molecular structures, with applications such as toxicity prediction, ligand binding, and pharmacokinetics. A recent trend is developing end-to-end models that avoid explicit domain knowledge. These models assume no coverage bias in training and evaluation data, meaning the data are representative of the true distribution.
View Article and Find Full Text PDFAnal Chim Acta
January 2025
Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing, 400715, PR China. Electronic address:
Background: As global food production continues to surge, the widespread use of herbicides has also increased concurrently, posing challenges like health risks and environmental pollution. Traditional detection methods for pesticide residues, such as diquat (DQ), were hampered by limitations like high expenses, lengthy detection times and complex operations, restricting their practical application in rapid clinical diagnosis.
Results: In light of the pressing necessity for the identification of minute pesticide residues and the intrinsic constraints of small molecule analysis, a novel chromophotometric biosensor targeting small molecules was developed based on bi-epitopes on single antibody to immobilize two DQ-PAL, inhibiting the hybridization of DQ-PAL.
Int J Sports Physiol Perform
January 2025
Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.
Purpose: The assessment of lactate threshold (LT) and its relationship to open-water (OW) performance is crucial. This study aimed (1) to analyze LT in world-class OW swimmers, (2) to compare swimming speed at LT (SSLT) and 4 mmol·L-1 of blood lactate concentration ([La-]; SS4), and (3) to examine the relationships between SSLT and swimming performance.
Methods: Twenty world-class and elite (11 male, 26.
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