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Fluid intelligence represents the capacity for flexible problem solving and rapid behavioral adaptation. Rewards drive flexible behavioral adaptation, in part via a teaching signal expressed as reward prediction errors in the ventral striatum, which has been associated with phasic dopamine release in animal studies. We examined a sample of 28 healthy male adults using multimodal imaging and biological parametric mapping with (1) functional magnetic resonance imaging during a reversal learning task and (2) in a subsample of 17 subjects also with positron emission tomography using 6-[(18) F]fluoro-L-DOPA to assess dopamine synthesis capacity. Fluid intelligence was measured using a battery of nine standard neuropsychological tests. Ventral striatal BOLD correlates of reward prediction errors were positively correlated with fluid intelligence and, in the right ventral striatum, also inversely correlated with dopamine synthesis capacity (FDOPA K inapp). When exploring aspects of fluid intelligence, we observed that prediction error signaling correlates with complex attention and reasoning. These findings indicate that individual differences in the capacity for flexible problem solving relate to ventral striatal activation during reward-related learning, which in turn proved to be inversely associated with ventral striatal dopamine synthesis capacity.
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http://dx.doi.org/10.1002/hbm.22000 | DOI Listing |
Objectives: Cervical cancer is a serious threat to women's life and health and has a high mortality rate. Colposcopy is an important method for early clinical cervical cancer screening, but the traditional vaginal dilator has problems such as discomfort in use and cumbersome operation. For this reason, this study aims to design an intelligent vaginal dilatation system to automate colposcopy and enhance patient comfort.
View Article and Find Full Text PDFCell Rep Med
August 2025
Center for Biomedical-photonics and Molecular Imaging, Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi Province, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Mole
Rapid identification and accurate diagnosis are critical for individuals with acute leukemia (AL). Here, we propose a combined deep learning and surface-enhanced Raman scattering (DL-SERS) classification strategy to achieve rapid and sensitive identification of AL with various subtypes and genetic abnormalities. More than 390 of cerebrospinal fluid (CSF) samples are collected as targets, encompassing healthy control, AL patients, and individuals with other diseases.
View Article and Find Full Text PDFCureus
August 2025
Cardiovascular Medicine, Moscow Multidisciplinary Clinical Center Kommunarka, Moscow, RUS.
Simulation-based training is transforming the education of vascular surgeons in the management of aortic aneurysms (AAs), addressing limitations in traditional apprenticeship models amid declining open surgical volumes and increasing reliance on complex endovascular techniques. This review explores the current landscape of simulation technologies, including computational modeling, fluid-structure interaction, patient-specific 3D printing, artificial intelligence, and robotic platforms. These tools enable high-fidelity, anatomically accurate, and physiologically realistic training environments.
View Article and Find Full Text PDFNano Lett
September 2025
Key Laboratory of Micro & Nano Photonic Structures, Department of Optical Science and Engineering, College of Future Information Technology, Fudan University, Shanghai 200433, China.
The separation and propagation of spin are vital to understanding spin-orbit coupling (SOC) in quantum systems. Exciton-polaritons, hybrid light-matter quasiparticles, offer a promising platform for investigating SOC in quantum fluids. By utilization of the optical anisotropy of materials, Rashba-Dresselhaus SOC (RDSOC) can be generated, enabling robust polariton spin transport.
View Article and Find Full Text PDFACS Omega
September 2025
State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou, Jiangsu 221116, People's Republic of China.
This study focuses on the issues of poor fluidity, low penetration into residual coal, and suboptimal inhibition of coal spontaneous combustion associated with traditional coal mine gel fire retardants. The permeability and flow characteristics of a sodium alginate-based composite thermosensitive hydrogel, as well as its fire prevention and extinguishment performance, were investigated. The findings suggest that the thermosensitive hydrogel behaves as a pseudoplastic fluid at 40 °C and a yield-pseudoplastic fluid at 65 °C, exhibiting shear-thinning behavior with increasing shear rate.
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