Results 181 to 190 of about 2,492,882 (302)

Optical Fiber‐Based Versatile Wearable Force Myography System: Application to Human–Robot Interaction

Advanced Intelligent Systems, EarlyView.
A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung, Heeju Mun, Seyed Farokh Atashzar, Ki‐Uk Kyung   +3 more
wiley   +1 more source

Notch signalling in T cells: bridging tumour immunity and intratumoral cellular crosstalk. [PDF]

Front Immunol
Sultana J, Choudhury PR, Bera S, Chakravarti M, Guha A, Das P, Das J, Iyer GS, Sarkar A, Dhar S, Ganguly N, Baral R, Bose A, Banerjee S.   +13 more
europepmc   +1 more source

Remora‐Inspired Sensing Suction Cup with Adhesion Monitoring and Force Detection

Advanced Intelligent Systems, EarlyView.
A suction cup with integrated liquid metal microchannel sensors enables stable multidirectional force sensing and adhesion monitoring in both air and water. The flexible resistive sensors, placed on the outer lip, transduce deformations into resistance changes under normal and shear loads.
Yuchen Liu, Bocheng Tian, Feiyang Yuan, Lei Li, Yinuo Cheng, Fuqiang Yang, Youning Duo, Li Wen   +7 more
wiley   +1 more source

Single-cell transcriptomics reveals notch regulation in quiescent LEPR⁺ endometrial mesenchymal stem cells. [PDF]

Stem Cell Res Ther
Fang Y, Cao D, Lee CL, Chiu PCN, Ng EHY, Yeung WSB, Chan RWS.   +6 more
europepmc   +1 more source

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

Advances in pulmonary neuroendocrine cells and their cellular interactions in asthma pathogenesis. [PDF]

Front Pharmacol
Wang L, Wang H, Yuan Y, Ye W, Fang X.
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

Effects of Notch signaling on the lineage commitment of human peripheral blood monocyte trilineage progenitor under inflammatory conditions. [PDF]

Cell Death Discov
Aničić S, Filipović M, Krešić I, Jakšić O, Radošević M, Flegar D, Planinić P, Ikić Matijašević M, Jajić Z, Kelava T, Kovačić N, Šućur A, Grčević D.   +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

Targeting the Notch signaling pathway: molecular mechanisms and therapeutic strategies for cardiac repair after myocardial infarction. [PDF]

Front Cardiovasc Med
Zhang Z, Xie F, Cheng J, Liu X, Wang X, Long J, Feng Q, Yuan D.   +7 more
europepmc   +1 more source