Superior cognitive abilities are generally associated with positive outcomes such as academic achievement and social mobility. Here, we explore the darker side of cognitive ability, highlighting robust links between pattern detection and stereotyping. Across 6 studies, we find that superior pattern detectors efficiently learn and use stereotypes about social groups. This pattern holds across explicit (Studies 1 and 2), implicit (Studies 2 and 4), and behavioral measures of stereotyping (Study 3). We also find that superior pattern detectors readily update their stereotypes when confronted with new information (Study 5), making them particularly susceptible to counterstereotype training (Study 6). Pattern detection skills therefore equip people to act as naïve empiricists who calibrate their stereotypes to match incoming information. These findings highlight novel effects of individual aptitudes on social-cognitive processes. (PsycINFO Database Record
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http://dx.doi.org/10.1037/xge0000349 | DOI Listing |
J Adv Res
January 2025
Center of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030 People's Republic of China; School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030 People's Republic of China; Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan 430022 People's Republic of China. Electronic address:
Introduction: Establishing an optimized regenerative microenvironment for pulp-dentin complex engineering has become increasingly critical. Recently, exosomes have emerged as favorable biomimetic nanotherapeutic tools to simulate the developmental microenvironment and facilitate tissue regeneration.
Objectives: This study aimed to elucidate the multifaceted roles of exosomes from human dental pulp stem cells (DPSCs) that initiated odontogenic differentiation while sustaining mesenchymal stem cell (MSC) characteristics in odontogenesis, angiogenesis, and neurogenesis during pulp-dentin complex regeneration.
J Environ Manage
January 2025
Civil Engineering Department, Universidade Federal de Pernambuco-UFPE, Recife, Brazil.
Climate change profoundly affects water resource allocation by disrupting the availability, distribution, and quality of water across various regions. Optimal allocation of water resources represents a comprehensive strategy for water resource management by addressing the intricate connections between water allocation systems and their repercussions on the environment, society, and economy. In this study, an Optimal Water Resources Management (OWRM) framework was developed, focusing on the optimal allocation of water resources and crop planting structures across various sectors.
View Article and Find Full Text PDFJ Colloid Interface Sci
January 2025
College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao 266042, China. Electronic address:
Developing efficient and cost-effective rare earth element-based electrocatalysts for water splitting remains a significant challenge. To address this, interface engineering and charge modulation strategies were employed to create a three-dimensional coral-like CeF/MoO heterostructure electrocatalyst, grown in situ on the multistage porous channels of carbonized sugarcane fiber (CSF). Integrating abundant CeF/MoO heterostructure interfaces and numerous oxygen vacancy defects significantly enhanced the catalyst's active sites and molecular activation capabilities.
View Article and Find Full Text PDFJ Cardiovasc Electrophysiol
January 2025
Cardiology Division, Geneva University Hospitals, Geneva, Switzerland.
Typical atrial flutter (AFL), defined as cavotricuspid isthmus (CTI)-dependent macro-re-entrant atrial tachycardia, often causes debilitating symptoms, and is associated with increased incidence of atrial fibrillation, stroke, heart failure, and death. Typical AFL occurs in patients with atrial remodeling and shares risk factors with atrial fibrillation. It is also common in patients with a history of prior heart surgery or catheter ablation.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, No. 15 Shangxiadian Road, Cangshan District, Fuzhou 350002, China.
Spatial transcriptomics (ST) technologies enable dissecting the tissue architecture in spatial context. To perceive the global contextual information of gene expression patterns in tissue, the spatial dependence of cells must be fully considered by integrating both local and non-local features by means of spatial-context-aware. However, the current ST integration algorithm ignores for ST dropouts, which impedes the spatial-aware of ST features, resulting in challenges in the accuracy and robustness of microenvironmental heterogeneity detecting, spatial domain clustering, and batch-effects correction.
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