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Behavior analysis is virtually alone among disciplines in assuming that the orderly arrangement of words in sentences, or grammar, arises from exposure to contingencies of reinforcement. In the face of the novelty, subtlety, complexity, and speed of acquisition of verbal behavior, this position will remain difficult to defend until the field can show that a representative range of grammatical phenomena is within reach of its interpretive tools. Using modern English as a case in point, this article points to the important role of automatic reinforcement in language acquisition and suggests that Skinner's concept of autoclitic frames (e.g., ) is central to a behavioral interpretation of grammatical phenomena. An enduring puzzle facing this interpretation is how stimulus control can shift from word to word in such frames as one speaks, for such permutations of verbal forms are often novel and rapidly emitted. A possible solution to the puzzle is offered by a consideration of contextual cues, prosodic cues, and the stimulus properties of the roles played by the content words that complete the frames. That these roles have discriminable stimulus properties is supported by considering that in Old English such roles directly controlled case inflections that correspond to positions in autoclitic frames. Continuing to develop behavioral interpretations of grammar is an important pursuit in its own right, whether or not it is sufficient to build bridges to other paradigms.
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http://dx.doi.org/10.1007/s40614-023-00368-z | DOI Listing |
Theor Med Bioeth
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Laboratory of Applied Epistemology, DADU, University of Sassari, Palazzo del Pou Salit, Piazza Duomo 6, 07041, Alghero, Sassari, Italy.
Orthorexia nervosa is defined as an exaggerated and obsessive fixation on healthy eating. In recent years, there has been growing debate over whether orthorexia nervosa should be considered a new psychiatric disorder. This paper discusses the conceptual issues that emerge from the attempt to identify the diagnostic criteria for orthorexia nervosa as opposed to non-pathological cases of healthy eating or 'healthy orthorexia'.
View Article and Find Full Text PDFCancer Discov
September 2025
Evolutionary Dynamics Group, Centre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.
Unlabelled: Oncogenes amplified on extrachromosomal DNA (ecDNA) contribute to treatment resistance and poor survival across cancers. Currently, the spatiotemporal evolution of ecDNA remains poorly understood. In this study, we integrate computational modeling with samples from 94 treatment-naive human glioblastomas (GBM) to investigate the spatiotemporal evolution of ecDNA.
View Article and Find Full Text PDFMultivariate Behav Res
September 2025
Department of Social Psychology and Methodology, Universidad Autonoma de Madrid, Madrid, Spain.
Wording effects, the systematic method variance arising from the inconsistent responding to positively and negatively worded items of the same construct, are pervasive in the behavioral and health sciences. Although several factor modeling strategies have been proposed to mitigate their adverse effects, there is limited systematic research assessing their performance with exploratory structural equation models (ESEM). The present study evaluated the impact of different types of response bias related to wording effects (random and straight-line carelessness, acquiescence, item difficulty, and mixed) on ESEM models incorporating two popular method modeling strategies, the correlated traits-correlated methods minus one (CTC[M-1]) model and random intercept item factor analysis (RIIFA), as well as the "do nothing" approach.
View Article and Find Full Text PDFHealth Inf Sci Syst
December 2025
School of Information Science and Automation, Northeastern University, Shenyang, 110819 China.
Accurate prediction of drug-target interactions (DTIs) is crucial for improving the efficiency and success rate of drug development. Despite recent advancements, existing methods often fail to leverage interaction features at multiple granular levels, resulting in suboptimal data utilization and limited predictive performance. To address these challenges, we propose CF-DTI, a coarse-to-fine drug-target interaction model that integrates both coarse-grained and fine-grained features to enhance predictive accuracy.
View Article and Find Full Text PDFJ Biomed Opt
December 2025
University of Toronto, Department of Medical Biophysics, Temerty Faculty of Medicine, Toronto, Ontario, Canada.
Significance: Tumor tissues exhibit contrast with healthy tissue in circular degree of polarization (DOP) images via higher magnitude circular DOP values and increased helicity-flipping. This phenomenon may enable polarimetric tumor detection and surgical/procedural guidance applications.
Aim: Depolarization metrics have been shown to exhibit differential responses to healthy and cancer tissue, whereby tumor tissues tend to induce less depolarization; however, the understanding of this depolarization-based contrast remains limited.