Lag reinforcement schedules have been shown in previous research to be an effective intervention for teaching verbal and nonverbal response variability to individuals with developmental disabilities. In more recent research, variability itself has been considered a reinforceable behavior in its own right (Susa & Schlinger, The Analysis of Verbal Behavior, 18, 125-130, 2012). Lag schedules of reinforcement can be used to teach variability by using contingencies that require responses to differ from previous responses. The present study extended Susa and Schlinger's, The Analysis of Verbal Behavior, 18, 125-130, (2012) research by using 3 social questions instead of 1 in a random rotation and included probes to test for generality. A changing-criterion design was used to evaluate the results with one 11-year-old female participant diagnosed with autism. During baseline, the participant provided little variability, with rote responses. During the Lag 1 and Lag 2 phases, appropriate variable verbal responding increased with the use of echoic prompts, visual aids, and an error correction procedure. Further, the results also showed that the participant learned to vary her responses by demonstrating the ability to emit 11 novel prompted responses and 13 spontaneous responses. In addition, the participant was able to retain the skills learned in a maintenance probe conducted 4 weeks postintervention.
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http://dx.doi.org/10.1007/s40616-020-00129-y | DOI Listing |
Acta Pharm
December 2024
University of Zagreb Faculty of Pharmacy and Biochemistry 10000 Zagreb, Croatia.
Zeolites are a large family of minerals and the most studied is the naturally occurring clinoptilolite. They possess anti-inflammatory, antioxidant, and detoxifying properties which makes them valuable for medicinal use. Element analysis of zeolite's composition is necessary for its precise chemical characterization, and within this work development of a suspension method for the determination of manga nese, iron, and zinc by total reflection X-ray fluorescence spec-trometry (TXRF) was presented.
View Article and Find Full Text PDFMed Sci Sports Exerc
December 2024
Shanghai University of Sport, Shanghai, CHINA.
Purpose: Irisin plays an important role in bone-muscle crosstalk. The aim of this study was to elucidate the association of long-term exercise induced irisin response with body composition and bone mineral density in postmenopausal women.
Methods: We recruited 29 postmenopausal women (age: 62.
Neural Comput
January 2025
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200437, China
Spiking neural networks (SNNs) have attracted significant interest in the development of brain-inspired computing systems due to their energy efficiency and similarities to biological information processing. In contrast to continuous-valued artificial neural networks, which produce results in a single step, SNNs require multiple steps during inference to achieve a desired accuracy level, resulting in a burden in real-time response and energy efficiency. Inspired by the tradeoff between speed and accuracy in human and animal decision-making processes, which exhibit correlations among reaction times, task complexity, and decision confidence, an inquiry emerges regarding how an SNN model can benefit by implementing these attributes.
View Article and Find Full Text PDFAnn Afr Med
December 2024
Department of Public Health Dentistry, Government Dental College, Kottayam, Kerala, India.
Introduction: In recent years, patient preferences and attitudes have become crucial in shaping dental treatment choices and service utilization. Understanding these preferences is crucial for improving service delivery and patient satisfaction.
Aim: This study aims to comprehensively analyze the factors influencing these preferences, focusing on demographic, socio-economic, and behavioral variables, and the growing role of social media in healthcare decisions.
Science
January 2025
Department of Biology & Leverhulme Centre for Nature Recovery, University of Oxford, Oxford, UK.
The impacts of degradation and deforestation on tropical forests are poorly understood, particularly at landscape scales. We present an extensive ecosystem analysis of the impacts of logging and conversion of tropical forest to oil palm from a large-scale study in Borneo, synthesizing responses from 82 variables categorized into four ecological levels spanning a broad suite of ecosystem properties: (i) structure and environment, (ii) species traits, (iii) biodiversity, and (iv) ecosystem functions. Responses were highly heterogeneous and often complex and nonlinear.
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