Few guidelines exist for conducting and reporting visual analysis procedures and results in single-case research. Previous research examining how authors describe their analytic procedures and results has found that authors use key terms such as level, trend, and variability infrequently. Additionally, in a previous review, the authors rarely agreed with the original study authors on their conclusions. The purpose of this study was to document single-case researchers' analytic procedures, including use of key visual analysis terms; description of data features; within- and between-condition analysis; and inclusion of descriptive statistics, effect sizes, or inferential statistics in the literature on a common Tier 3 behavior intervention, functional communication training. We also compared our determinations about functional relations to the authors' conclusions. Our results suggest that most authors describe level, but almost a third did not describe trend or variability. Agreement with study authors was better than in previous studies but still below minimally acceptable thresholds. We discuss areas for future research and implications for reporting the analysis and results of single-case research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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http://dx.doi.org/10.1037/spq0000660 | DOI Listing |
Sci Rep
December 2024
Marine Biology Laboratory, Earth and Life Institute, Université Catholique de Louvain, Croix du Sud 3, 1348, Louvain-La-Neuve, Belgium.
The bioluminescent European brittle star Amphiura filiformis produces blue light at the arm-spine level thanks to a biochemical reaction involving coelenterazine as substrate and a Renilla-like luciferase as an enzyme. This echinoderm light production depends on a trophic acquisition of the coelenterazine substrate. Without an exogenous supply of coelenterazine, this species loses its luminous capabilities.
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December 2024
Key Laboratory of Computing Power Network and Information Security, Shandong Computer Science Center (National Supercomputing Center in Jinan), Ministry of Education, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250013, Shandong, P. R. China.
Crystal structure similarity is useful for the chemical analysis of nowadays big materials databases and data mining new materials. Here we propose to use two-dimensional Wasserstein distance (earth mover's distance) to measure the compositional similarity between different compounds, based on the periodic table representation of compositions. To demonstrate the effectiveness of our approach, 1586 Cu-S based compounds are taken from the inorganic crystal structure database (ICSD) to form a validation dataset.
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December 2024
Department of Drug Prohibition and Public Security, Criminal Investigation Police University of China, Shenyang, 110035, China.
Methamphetamine use disorder has emerged as a significant public health concern globally. This study endeavors to elucidate the alterations in expression changes of miRNAs in the plasma of methamphetamine use disorder and elucidate the alterations in miRNA expression in the plasma of individuals with methamphetamine use disorder and investigate the relationship between these differentially expressed miRNAs and the disorder itself, cravings for methamphetamine, and associated mental disorders. Furthermore, the study seeks to clarify the expression of downstream target molecules of specific miRNAs in the plasma of methamphetamine use disorder, assess the diagnostic utility of these miRNAs and their target molecules, explore their potential as biomarkers, and identify potential targets for the diagnosis and treatment of methamphetamine use disorder.
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December 2024
Department of Orthopedic Surgery, Arthroscopy and Joint Research Institute, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
The humeral head is the second most common anatomical site of osteonecrosis after the femoral head. Studies have reported satisfactory clinical outcomes after shoulder arthroplasty to treat osteonecrosis of the humeral head (ONHH). However, there are concerns regarding implant longevity in relatively young patients.
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December 2024
School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, 214122, China.
The unknown boundary issue, between superior computational capability of deep neural networks (DNNs) and human cognitive ability, has becoming crucial and foundational theoretical problem in AI evolution. Undoubtedly, DNN-empowered AI capability is increasingly surpassing human intelligence in handling general intelligent tasks. However, the absence of DNN's interpretability and recurrent erratic behavior remain incontrovertible facts.
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