In this article, we hypothesize that invariance detection, a general perceptual phenomenon whereby organisms attend to relatively stable patterns or regularities, is an important means by which infants tune in to various aspects of spoken language. In so doing, we synthesize a substantial body of research on detection of regularities across the domains of speech perception, word segmentation, word-referent mapping, and grammar learning. In addition, we outline our framework for how invariance detection might serve as a perceptual gateway to more sophisticated communication by providing a foundation for subsequent emergent capacities. We test our hypothesis using the domain of word mapping as a case in point, emphasizing its epigenetic nature: Word mapping is rooted in the real-time interactions between the infant and the physical world. The present account offers an alternative to prior theories of early language development and helps to link the field of early language development with more general perceptual processes.
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http://dx.doi.org/10.1037/a0019049 | DOI Listing |
Zhongguo Shi Yan Xue Ye Xue Za Zhi
December 2024
Department of Hematology, The Second Hospital of Anhui Medical University, Hefei 230601, Anhui Province, China.
Objective: To explore the changes in number and immune function of mucosal-associated invariant T (MAIT) cells in peripheral blood of patients with newly diagnosed acute myeloid leukemia (AML), and its correlation with the occurrence and development of AML.
Methods: Seventy-five clinical samples of patients with newly diagnosed AML and 48 healthy control samples in our hospital from January 2022 to February 2023 were included. Multiparametric flow cytometry was used to detect the number of MAIT cells, membrane surface markers, effector phenotypes and functional indicators in the samples.
Int J Comput Assist Radiol Surg
December 2024
Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
Purpose: This study explores the use of deep generative models to create synthetic ultrasound images for the detection of hemarthrosis in hemophilia patients. Addressing the challenge of sparse datasets in rare disease diagnostics, the study aims to enhance AI model robustness and accuracy through the integration of domain knowledge into the synthetic image generation process.
Methods: The study employed two ultrasound datasets: a base dataset (Db) of knee recess distension images from non-hemophiliac patients and a target dataset (Dt) of hemarthrosis images from hemophiliac patients.
Sci Rep
December 2024
Tsung-Dao Lee Institute and School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China.
The experimental verification of the Newton law of gravity at small scales has been a longstanding challenge. Recently, torsion balance experiments have successfully measured gravitational force at the millimeter scale. However, testing gravity force on quantum mechanical wave function at small scales remains difficult.
View Article and Find Full Text PDFAnal Chem
December 2024
Center for Cell Structure and Function, Shandong Provincial Key Laboratory of Animal Resistance Biology, College of Life Sciences, Shandong Normal University, Jinan, Shandong 250014, China.
Mucosal-associated invariant T (MAIT) cells exhibit significant potential in the assessment of tumor development and immunotherapy. However, there is currently no convenient and efficient method to analyze the quantitative changes of MAIT cells during cancer development and treatment, which has not been extensively studied. Here, we report an electrochemical biosensor designed to efficiently monitor MAIT cells in peripheral blood by simultaneously recognizing Vα7.
View Article and Find Full Text PDFJ Colloid Interface Sci
December 2024
Liaoning Province Key Laboratory of Pulp and Papermaking Engineering, Liaoning Key Lab of Lignocellulose Chemistry and BioMaterials, Liaoning Collaborative Innovation Center for Lignocellulosic Biorefinery, Dalian Polytechnic University, Dalian, Liaoning Province, 116034, China; Shandong Tonye Photoresist Material Technology CO., LTD, Weifang, 261206, China. Electronic address:
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