Results 101 to 110 of about 864,317 (294)

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

Advanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang, Ji Chen, Jinfeng Han, Wei Cheng, Jiang Qiu, Jianfeng Feng, Simon Eickhoff, Deniz Vatansever   +7 more
wiley   +1 more source

On closure operators of Jonsson sets

Қарағанды университетінің хабаршысы. Математика сериясы
The work is related to the study of the model-theoretic properties of Jonsson theories, which, generally speaking, are not complete. In the article, on the Boolean of Jonsson subsets of the semantic model of some fixed Jonsson theory, the concept of the
Olga Ulbrikht
doaj   +1 more source

Semantic Morphable Models

, 2017
In this thesis we discuss how computers can automatically interpret images of human faces. The applications of face image analysis systems range from image description, face analysis, interpretation, human-computer interaction, forensics to image manipulation. The analysis of faces in unconstrained scenes is a challenging task.
openaire   +3 more sources

Farnesyltransferase Deficiency in Cardiomyocytes Initiates Senescence and Contributes to Cardiac Fibrosis

Advanced Science, EarlyView.
Lipid overload suppresses SREBF2‐mediated FNTB expression, leading to defective Lamin A maturation and nuclear envelope instability. This nuclear catastrophe triggers a pro‐fibrotic senescence program in cardiomyocytes. Notably, restoring nuclear integrity via AAV9‐based gene therapy effectively attenuates cardiac remodeling, identifying the ...
Yuxiao Chen, Lian Lou, Xuan Zhang, Lin Yan, Qi Zhang, Wen Shi, Jie Ding, Xu Lin, Rong Jiang, Shuo Liu, Thida Sok, Pengli Wang, Yun Mou, Jie Han, Shenjiang Hu, Xiaogang Guo, Jian Yang   +16 more
wiley   +1 more source

Semantic Framework for Mapping Object-Oriented Model to Semantic Web Languages

Frontiers in Neuroinformatics, 2015
The article deals with and discusses two main approaches in building semantic structures for electrophysiological metadata. It is the use of conventional data structures, repositories, and programming languages on one hand and the use of formal ...
Petr eJezek, Roman eMouček
doaj   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

Model-theoretic properties of J-superstable Jonsson theories in classes defined by cosemanticness

Қарағанды университетінің хабаршысы. Математика сериясы
This article deals with the problems of model-theoretic characterization of J-superstable Jonsson theories. The characteristic features of such theories are analyzed in terms of J-stability, J-P-superstability, and J-nonmultidimensionality.
A.R. Yeshkeyev, G.E. Zhumabekova, A.K. Issayeva   +2 more
doaj   +1 more source

Unveil Fundamental Graph Properties for Neural Architecture Search

Advanced Science, EarlyView.
This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang, Tejaswini Pedapati, Pin‐Yu Chen, Chunheng Jiang, Jianxi Gao   +4 more
wiley   +1 more source

SKOOTS: Skeleton‐Oriented Object Segmentation for Mitochondria in High‐Resolution Cochlear EM Datasets

Advanced Science, EarlyView.
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka, Richard T. Osgood, Hidetomi Nitta, Artur A. Indzhykulian   +3 more
wiley   +1 more source

Transferable Semi-supervised Semantic Segmentation

, 2018
The performance of deep learning based semantic segmentation models heavily depends on sufficient data with careful annotations. However, even the largest public datasets only provide samples with pixel-level annotations for rather limited semantic ...
Feng, Jiashi, Liu, Yu, Wei, Yunchao, Xiao, Huaxin, Zhang, Maojun   +4 more
core   +1 more source