Results 231 to 240 of about 2,608,184 (335)

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

Advanced Intelligent Systems, EarlyView.
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Loss of the distal-proximal GLP-1/Notch activation gradient in the aging <i>C. elegans</i> germline. [PDF]

MicroPubl Biol
Janse van Vuuren R, Martel PO, Narbonne P.   +2 more
europepmc   +1 more source

Stimuli‐Responsive Electrofluidic Nervous System for Autonomous Soft Robots

Advanced Intelligent Systems, EarlyView.
A stimuli‐responsive electrofluidic nervous system (SENS) is introduced to achieve sensing, signal processing, and decision‐making using soft materials. Comprising fluidic switches and electroactive actuators, SENS enables multimodal stimuli‐responsiveness and autonomous control in soft robots.
Dip Kumar Saha, Dana Ragab, Nicolas Herzig, Hareesh Godaba   +3 more
wiley   +1 more source

Investigation into the molecular mechanism of the antiapoptotic functions of CTCF in breast cancer cells using a proteomics approach [PDF]

, 2009
A Vostrov, CF Méndez-Catalá, D Farrar, E Klenova, E Pugacheva, EM Klenova, F Docquier, F Docquier, I Cherhukhin   +8 more
core   +2 more sources

Subtype-Independent Dysregulation of the Notch Signaling Pathway and Its miRNA Regulators in Breast Cancer. [PDF]

Biomedicines
Mitka-Krysiak E, Król-Jatręga K, Ossowski P, Zmarzły N, Bereza K, Ordon P, Kulej W, Sirek T, Sirek A, Boroń K, Boroń M, Boroń D, Grabarek BO.   +12 more
europepmc   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

Advanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi, Ahsan Tanveer, Rahdar Hussain Afridi, Muhammad Hamza, Mingxin Wu, Liang Li, Guangming Xie   +6 more
wiley   +1 more source

Notch signaling pathway modulation by food functional ingredients: mechanisms, cancer and immunoregulation. [PDF]

Front Cell Dev Biol
Nie RZ, Luo HM, Liu YP, Wang SS, Hou YJ, Chen C, Wang H, Lv HL, Tao XY, Jing ZH, Zhang HK, Li PF.   +11 more
europepmc   +1 more source

Ca2+‐ATPase function is required for intracellular trafficking of the Notch receptor in Drosophila

EMBO Journal, 1999
Goran Periz, M. Fortini
semanticscholar   +1 more source

ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces

Advanced Intelligent Systems, EarlyView.
Brain–computer interfaces (BCIs) lack a unified platform that works across signals and algorithms. ControlIt, an open‐source, modular ROS2‐based BCI framework supporting electroencephalography (EEG), electrocorticography (ECoG), and spike‐based decoding across both classification and regression tasks is presented.
Wanlin Yang, Chenyang Li, Xinxiu Xu, Xindong Wang, Yongcheng Guo, Xiaoke Chai, Tianqin Cao, Jiuxiang Song, Nan Wang, Xueming Zhang, Yi Yang, Cong Zheng, He Cui   +12 more
wiley   +1 more source

Cyclic Strain Inhibits Notch Receptor Signaling in Vascular Smooth Muscle Cells In Vitro

Circulation Research, 2005
D. Morrow, C. Sweeney, Y. Birney, P. Cummins, D. Walls, E. Redmond, P. Cahill   +6 more
semanticscholar   +1 more source