Results 201 to 210 of about 555 (277)

Brain health services for the secondary prevention of cognitive impairment and dementia: Opportunities, challenges, and the business case for existing and future facilities. [PDF]

J Prev Alzheimers Dis
Frisoni GB, Ribaldi F, Allali G, Bieth T, Brioschi Guevara A, Cappa S, Cipolotti L, Frederiksen KS, Georges J, Jessen F, Koch G, Masters H, Mendes AJ, Frölich L, Garibotto V, Grau-Rivera O, Pozzi FE, Religa D, Rostamzadeh A, Shallcross L, Shenkin SD, van der Flier WM, Vernooij MW, Visser LNC, Cummings JL, Scheltens P, Dubois B, Moro E, Bassetti CLA, Kivipelto M.   +29 more
europepmc   +1 more source

Strongly lacunary ward continuity in 2-normed spaces. [PDF]

ScientificWorldJournal, 2014
Çakalli H, Ersan S.
europepmc   +1 more source

Content analysis of TikTok videos about tick prevention methods for dogs and cats

Veterinary Record, EarlyView.
Abstract Background Social media is a major source of pet health information. On platforms such as TikTok, algorithm‐driven recommendations may expose users to health‐related content even without active searching. This study described tick prevention videos on TikTok.
Heidi Jim, Jongseo Kim, Ivana Blagojevic, Kelsey L. Spence   +3 more
wiley   +1 more source

Bridging self-directed learning and competency in interdisciplinary teaching among STEM lecturers: How psychological capital connects. [PDF]

PLoS One
Su W, Fadzil HM, Rauf RAA.
europepmc   +1 more source

Mazur-Ulam theorem under weaker conditions in the framework of 2-fuzzy 2-normed linear spaces

The purpose of this paper is to prove that every 2-isometry without any other conditions from a fuzzy 2-normed linear space to another fuzzy 2-normed linear space is affine, and to give a new result of the Mazur-Ulam theorem for 2-isometry in the ...
Park, C, Alaca, C
core  

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi, Kaixiang Yang, Mengzhi Wang, Zhiwen Yu, Huanqiang Zeng, Yang Hu   +5 more
wiley   +1 more source

Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley   +1 more source

A mixed methods exploratory study assessing youth knowledge, self-efficacy and mental health outcomes in transition to adult healthcare. [PDF]

Health Care Transit
Andrews JG, Shifren R, Wahl R, Parent-Johnson W, Klewer S.   +4 more
europepmc   +1 more source

A Quantised Push‐Sum Distributed Adaptive Momentum Algorithm for Optimisation Over Directed Networks

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In this paper, we investigate a distributed constrained optimisation problem over directed networks. The agents in the networks conduct local computations and communications, endeavouring to collaboratively minimise the aggregation of all locally known convex cost functions subject to a global constraint set.
Qingguo Lü, Mingyu Guan, Chenglong He, Chen Chen, Xiangguang Dai, Man‐Fai Leung, Wei Zhang   +6 more
wiley   +1 more source