This article describes a semantic space model of personality. According to the model, representations of facets of the self (e.g., actual self, ideal self) and of others are arrayed in a semantic space, with proximities among representations predicted to be associated with mood, self-evaluation, and broad personality dimensions. The relation of proximities among pairs of representations to personality and mood measures was found to be mediated by the spatial proximity of other representations, indicating that the representations constitute dynamic systems. Proximities among representations were shown to predict self-esteem and self-evaluative moods even after controlling for the contribution of the personality dimensions of Neuroticism, Extraversion, and Agreeableness. Generally, the semantic space model led to better predictions than did several related models concerning representations of self and other.
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Biosystems
January 2025
ICube Laboratory, UMR 7357, Department of Mechanics, Civil Engineering and Energetics Team - GCE, CNRS, University of Strasbourg, INSA Strasbourg, Department of Architecture, 24 Boulevard de la Victoire, 67084 Strasbourg Cedex, France; MAP-Aria Laboratory, UMR CNRS/MCC 3495, École Nationale Supérieure d'Architecture de Lyon, 3 rue Maurice Audin, BP 170, 69512 Vaulx-en-Velin Cedex, France. Electronic address:
This paper explores the intersections of constructal thermodynamics, and its semantic ontology within the context of autopoetic, digital and computational design in protocell inspired numerical architectural and urban narratives that are examined here as open systems. Constructal law is the thermodynamic theory based on the analysis of fluxes across the border of an open system. Protocells, as dynamic and adaptive open finite size systems, serve in this paper as a compelling metaphor and design model for responsive and sustainable manmade architectural and urban environments.
View Article and Find Full Text PDFFront Surg
January 2025
Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: To accurately identify spread through air spaces (STAS) in clinical stage IA lung adenocarcinoma, our study developed a non-invasive and interpretable biomarker combining clinical and radiomics features using preoperative CT.
Methods: The study included a cohort of 1,325 lung adenocarcinoma patients from three centers, which was divided into four groups: a training cohort ( = 930), a testing cohort ( = 238), an external validation 1 cohort ( = 93), and 2 cohort ( = 64). We collected clinical characteristics and semantic features, and extracted radiomics features.
JDS Commun
January 2025
Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853.
Hock scoring in dairy cattle is a crucial welfare assessment tool used to evaluate the condition of a cow's hocks, particularly for signs of injury, swelling, or lesions. These scores provide insight into the overall well-being of the animals and are essential for ensuring proper management and housing conditions. Accurate hock scoring is vital because it can indicate issues such as poor bedding quality or inadequate space, which directly affect the health and productivity of the herd.
View Article and Find Full Text PDFHyperspectral images (HSI) have been extensively applied in a multitude of domains, due to their combined spatial and spectral characteristics along with a wealth of spectral bands. The ingenious combination of spatial and spectral information in HSI classification has remained a central research area for an extended period. In the classification process, it is essential to choose an expanded neighborhood window for learning.
View Article and Find Full Text PDFNeuropsychologia
January 2025
University of Texas at Austin, 110 Inner Campus Drive, Austin, TX, 78712, USA.
Semantic memory, a repository for concepts and factual information, plays a vital role in acquiring and retrieving knowledge. This study explores the impact of age-related knowledge accumulation on semantic cognition, investigating whether a denser representational space affects retrieval processes. Using a semantic feature verification task, we employ both behavioral (reaction time; RT) and neurophysiological (event-related potential; ERP) measures to explore these dynamics across young and older adults.
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