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The never-ending process of adaptation. [PDF]

J Extra Corpor Technol
Puis L.
europepmc   +1 more source

[Retracted] Resistin increases the expression of NOD2 in mouse monocytes. [PDF]

Exp Ther Med
Ren Y, Wan T, Zuo Z, Cui H, Peng X, Fang J, Deng J, Hu Y, Yu S, Shen L, Ma X, Wang Y, Ren Z.   +12 more
europepmc   +1 more source

[Retracted] Na⁺/K⁺‑ATPase DR region‑specific antibody protects U251 cells against hypoxia reperfusion‑induced injury via the PI3K/AKT and ERK pathways. [PDF]

Mol Med Rep
Gong H, Lü P, Zhang J, Li D, Zheng J, Song J.   +5 more
europepmc   +1 more source

[Expression of Concern] Electroacupuncture at GV20‑GB7 regulates mitophagy to protect against neurological deficits following intracerebral hemorrhage via inhibition of apoptosis. [PDF]

Mol Med Rep
Guan R, Li Z, Dai X, Zou W, Yu X, Liu H, Chen Q, Teng W, Liu P, Liu X, Dong S.   +10 more
europepmc   +1 more source

[Retracted] β‑elemene decreases cell invasion by upregulating E‑cadherin expression in MCF‑7 human breast cancer cells. [PDF]

Oncol Rep
Zhang X, Zhang Y, Li Y.
europepmc   +1 more source

Featured Games

2021 International Symposium on Theoretical Aspects of Software Engineering (TASE), 2021
Feature-based SPL analysis and family-based model checking have seen rapid development. Many model checking problems can be reduced to two-player games on finite graphs. A prominent example is mu-calculus model checking, which is generally done by translating to parity games, but also many quantitative model-checking problems can be reduced to ...
Uli Fahrenberg, Axel Legay
exaly   +3 more sources

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Feature Selection and Feature Extraction: Highlights

Proceedings of the 2021 5th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, 2021
In recent years, big data deluges have resulted in exciting data science opportunities. In particular, there is always a desire to extract the most from different data sources. To address it, a promising and recurring task is to perform feature selection and feature extraction.
Hiu-Man Wong, Xingjian Chen, Hiu-Hin Tam, Jiecong Lin, Shixiong Zhang 0002, Shankai Yan, Xiangtao Li, Ka-Chun Wong   +7 more
openaire   +1 more source

Feature Selection Boosted by Unselected Features

IEEE Transactions on Neural Networks and Learning Systems, 2022
Feature selection aims to select strongly relevant features and discard the rest. Recently, embedded feature selection methods, which incorporate feature weights learning into the training process of a classifier, have attracted much attention. However, traditional embedded methods merely focus on the combinatorial optimality of all selected features ...
Wei Zheng, Shuo Chen 0003, Zhenyong Fu, Fa Zhu, Hui Yan, Jian Yang 0003   +5 more
openaire   +2 more sources