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Previous studies have revealed a specific role of the prefrontal-parietal network in rapid goal-directed chunking (RGDC), which dissociates prefrontal activity related to chunking from parietal working memory demands. However, it remains unknown how the prefrontal and parietal cortices collaborate to accomplish RGDC. To this end, a novel experimental design was used that presented Chinese characters in a chunking task, testing eighteen undergraduate students (9 females, mean age = 22.4 years) while recoding the electroencephalogram (EEG). In the experiment, radical-level chunking was accomplished in a timely stringent way (RT = 1485 ms, SD = 371 ms), whereas the stroke-level chunking was accomplished less coherently (RT = 3278 ms, SD = 1083 ms). By comparing the differences between radical-level chunking vs. stroke-level chunking, we were able to dissociate the chunking processes in the radical-level chunking condition within the analyzed time window (-200 to 1300 ms). The chunking processes resulted in an early increase of gamma band synchronization over parietal and occipital cortices, followed by enhanced power in the beta-gamma band (25-38 Hz) over frontal areas. We suggest that the posterior rhythmic activities in the gamma band may underlie the processes that are directly associated with perceptual manipulations of chunking, while the subsequent beta-gamma activation over frontal areas appears to reflect a post-evaluation process such as reinforcement of the selected rules over alternative solutions, which may be an important characteristic of goal-directed chunking.
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http://dx.doi.org/10.3389/fnins.2019.00744 | DOI Listing |
PLoS Comput Biol
September 2025
Laboratoire des Systèmes Perceptifs, Département d'études Cognitives, École Normale Supérieure, PSL University, CNRS, Paris, France.
Humans can spontaneously detect complex algebraic structures. Historically, two opposing views explain this ability, at the root of language and music acquisition. Some argue for the existence of an innate and specific mechanism.
View Article and Find Full Text PDFStud Health Technol Inform
September 2025
Junior Research Group (Bio-) Medical Data Science, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Introduction: The integration of Retrieval-Augmented Generation (RAG) into domain-specific systems enables context-aware and traceable information retrieval. This study explores chunking and embedding strategies for a RAG-based question-answering system tailored to administrative documents at University Hospital Halle, focusing on model selection, parameter tuning, and retrieval performance. The insights gained from this study should serve as the foundation for the future development of a Retrieval-Augmented Generation (RAG) based chatbot system that aims to facilitate access to document pool contents for hospital staff.
View Article and Find Full Text PDFCancer Res
September 2025
Department of Genetics, University of Texas MD Anderson Cancer Center, Houston, Texas.
Lung adenocarcinoma has become a paradigm for precision oncology and success with targeted therapies. However, large chunks of the pie chart of molecular drivers remain unknown, preventing many patients from similarly benefiting from this strategy. Here, we highlight the side-by-side release of two impactful studies from Mozzarelli and colleagues and DiMarco and colleagues in this issue of Cancer Research.
View Article and Find Full Text PDFRev Bras Enferm
August 2025
Universidade Federal do Rio de Janeiro. Rio de Janeiro, Rio de Janeiro, Brazil.
Objectives: to identify well-being and self-care strategies from the perspective of patients with heart failure, highlighting practices that promote a sustainable and healthy life.
Methods: qualitative, descriptive research, carried out between November/2022 and March/2023, through semi-structured interviews, supplemented by records from physical and electronic medical records, with patients treated at the heart failure outpatient service of a university hospital in Rio de Janeiro, analyzed through lexicographic textual analysis, using Descending Hierarchical Classification.
Results: after processing the text corpus, six classes were generated, grouped into two distinct thematic chunks (non-pharmacological strategies and practices for health promotion) and (socioeconomic and educational challenges for self-care).
Interface Focus
August 2025
Institut Curie, Université PSL, 75005 Paris, France.
This tutorial provides stepwise instructions to install over 20 tools, written in multiple languages. Their integration in the software suite makes them accessible with a single popular language (), thereby enabling reproducible and sophisticated dynamical analyses of logical models of complex cellular networks. The tutorial specifically focuses on the analysis of a previously published model of the regulatory network controlling mammalian cell proliferation.
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