Pattern Mining of Older Drivers' Driving Behavior Through Telematics-data-driven Unsupervised Learning. [PDF]
Moshfeghi S, Jang J.
europepmc +1 more source
Evaluation of Atopic Dermatitis and Cutaneous Infectious Disorders Using Sequential Pattern Mining: A Nationwide Population-Based Cohort Study. [PDF]
Han JH +8 more
europepmc +1 more source
Dual targeting of ANGPTL3 and IL‐33/ST2 attenuates diabetic kidney disease by reprogramming lipid–inflammatory crosstalk. This strategy reduces renal lipotoxicity, suppresses inflammatory activation, and limits fibrotic remodeling, thereby preserving kidney structure and function and highlighting a mechanism‐guided therapeutic approach for metabolic ...
Zhuojin Li +8 more
wiley +1 more source
Harnessing the power of hashtags: Temporal pattern mining and storyline construction for event evolution on social media. [PDF]
Song J, He Y, Zhang X, Xu N, Fu G.
europepmc +1 more source
Mining frequent itemsets a perspective from operations research
Many papers on frequent itemsets have been published. Besides somecontests in this field were held. In the majority of the papers the focus ison speed. Ad hoc algorithms and datastructures were introduced.
Kosters, W.A., Pijls, W.H.L.M.
core
ABHD17C‐mediated depalmitoylation of BCL6B at Cys442 blocks its nuclear import and triggers ubiquitin‐dependent degradation, attenuating transcriptional repression of the anti‐phagocytic signal CD24. This mechanism enables pancreatic cancer cells to evade macrophage phagocytosis and fosters an immunosuppressive microenvironment.
Yalu Zhang +9 more
wiley +1 more source
Sliding window based rare partial periodic pattern mining algorithms over temporal data streams. [PDF]
Upadhya KJ +7 more
europepmc +1 more source
Using the Diagnostic Odds Ratio to Select Patterns to Build an Interpretable Pattern-Based Classifier in a Clinical Domain: Multivariate Sequential Pattern Mining Study. [PDF]
Casanova IJ +5 more
europepmc +1 more source
Clustering and Aggregating Clues of Trajectories for Trajectory Pattern Mining
In this paper, we propose a new trajectory pattern mining framework, namely Clustering and Aggregating Clues of Trajectories (CACT), for discovering trajectory routes that represent the frequent movement behaviors of a user.
Hung, Chih-Chieh;Peng, Wen-Chih;Lee, Wang-Chien
core
SIRT6‐mediated ATF3 acetylation drives MGARP transcription and mitochondrial dysfunction in macrophages, promoting macrophage senescence and pulmonary fibrosis. Mechanistically, HSP70/Importin α competitively binds to ATF3, modulating its nuclear translocation.
Demin Cheng +18 more
wiley +1 more source

