This study evaluated the effectiveness of the Picture Exchange Communication System (PECS) in developing and generalizing requesting skills among children with multiple disabilities. The study was conducted at The Autism Center of Excellence, Riyadh, Saudi Arabia. This study included three participants age ranged from 4.5 to 6.5 years with intelligence quotient (IQ) scores ranging from 40 to 44. All participants were inrolled in Inclusive Education program. A training program based on PECS was implemented, and data collection involved recording participant responses and observations by external observers. The study followed an experimental approach, specifically utilizing Single-Subject Design (SSD) with a focus on Multi-Baseline Designs (MBD). The results of the study indicated that PECS facilitated the development of requesting skills in children with multiple disabilities, promoting skill retention and generalization across similar situations.
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http://dx.doi.org/10.3389/fpsyg.2024.1434478 | DOI Listing |
This study evaluated the effectiveness of the Picture Exchange Communication System (PECS) in developing and generalizing requesting skills among children with multiple disabilities. The study was conducted at The Autism Center of Excellence, Riyadh, Saudi Arabia. This study included three participants age ranged from 4.
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College of Nursing, University of Utah, Salt Lake City, Utah, USA.
Purpose: Lay midwives attend most births at home in Guatemala facing many challenges with limited resources. Current research demonstrates that acupressure can reduce preterm contractions and encourage post-term labor. Sharing acupressure techniques with lay midwives could improve birth outcomes in Guatemala.
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State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, 100871, China.
Metamaterials have revolutionized wave control; in the last two decades, they evolved from passive devices via programmable devices to sensor-endowed self-adaptive devices realizing a user-specified functionality. Although deep-learning techniques play an increasingly important role in metamaterial inverse design, measurement post-processing and end-to-end optimization, their role is ultimately still limited to approximating specific mathematical relations; the metamaterial is still limited to serving as proxy of a human operator, realizing a predefined functionality. Here, we propose and experimentally prototype a paradigm shift toward a metamaterial agent (coined metaAgent) endowed with reasoning and cognitive capabilities enabling the autonomous planning and successful execution of diverse long-horizon tasks, including electromagnetic (EM) field manipulations and interactions with robots and humans.
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Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, 01605, USA.
Multicellular spheroids embedded in 3D hydrogels are prominent in vitro models for 3D cell invasion. Yet, quantification methods for spheroid cell invasion that are high-throughput, objective and accessible are still lacking. Variations in spheroid sizes and the shapes of the cells within render it difficult to objectively assess invasion extent.
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