Results 101 to 110 of about 24,321 (248)

Knowledge Representations Derived From Semantic Fluency Data. [PDF]

Front Psychol, 2022
Zemla JC.
europepmc   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

Advanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong, Zijian Huang, Xuanwu Wang, Zhenghui Feng, Wei Liu, Bingding Huang   +5 more
wiley   +1 more source

Analysis of brief language tests in the detection of cognitive decline and dementia

Dementia & Neuropsychologia
Lexical access difficulties are frequent in normal aging and initial stages of dementia. Verbal fluency tests are valuable to detect cognitive decline, evidencing lexico-semantic and executive dysfunction.
Marcia Radanovic, Maria Teresa Carthery-Goulart, Helenice Charchat-Fichman, Emílio Herrera Jr., Edson Erasmo Pereira Lima, Jerusa Smid, Cláudia Sellitto Porto, Ricardo Nitrini   +7 more
doaj   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

The importance of response times measures in verbal fluency tasks

Ψυχολογία: το Περιοδικό της Ελληνικής Ψυχολογικής Εταιρείας
  Verbal fluency is a commonly used task in clinical and experimental neuropsychology. It assesses a person’s ability to generate relevant words, according to a given category within a limited amount of time.
Emilia Orologa, Georgios Chatzopoulos, Dimitrios Nikolaidis, Mary Kosmidis, Hariklia Proios   +4 more
doaj   +1 more source

Graph Theoretical Analysis of Semantic Fluency in Patients with Parkinson's Disease. [PDF]

Behav Neurol, 2022
Zhang G, Ma J, Chan P, Ye Z.
europepmc   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source

Normative data for highly educated older adults in phonemic and semantic fluency tests. [PDF]

Dement Neuropsychol, 2023
de Azevedo JP, de Almondes KM.
europepmc   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

Semantic fluency in schizophrenia

European Psychiatry, 2007
C.A. Popescu, I.V. Miclutia, R. Macrea, I. Craciun, A. Zaharia   +4 more
openaire   +1 more source