Results 211 to 220 of about 887,990 (315)
Ion‐Electron Fusion Transparent Film for Interactive Soft Robotics
An ion‐electron fusion transparent film with stable conductivity, high optical transmittance, and a broad linear strain‐sensing range of up to 300% is developed, attributed to the synergistic effects of ion penetration and microcrack design. When applied to soft robots, this film imparts proprioceptive sensing and underwater visible light communication
Zhiqiu Ye +12 more
wiley +1 more source
The mediating role of emotion regulation and cognitive flexibility in the relationship between cooperative learning and social skills of students: a cross-sectional study. [PDF]
Ma W, Motevalli S, Kuang X, Song R.
europepmc +1 more source
Core Fucosylation Represses SMURF1‐Dependent Degradation of CD47 to Promote Tumor Immune Evasion
FUT8‐mediated core fucosylation of CD47 at N111 blocks SMURF1 binding and reduces CD47 ubiquitination and degradation. Blocking N111 glycosylation reduces CD47 expression and promotes macrophage phagocytosis of tumor cells. Furthermore, ablating CD47 core fucosylation boosts CD103+ dendritic cells (DCs) infiltration, increases natural killer (NK) cell ...
Yuting Cao +8 more
wiley +1 more source
Fuzzy logic-based speed guidance strategy for mixed platoons at intersections with communication delay compensation and driver reaction time modeling. [PDF]
Liu X, Yan M, Dai R, Gao M.
europepmc +1 more source
A multifunctional mPDZM nanoplatform is developed in this study. mPDZM integrates chemotherapy‐induced senescence, selective senolysis, and STING‐mediated immune activation. mPDZM effectively clears senescent tumor cells, remodels the tumor immune microenvironment, and enhances antitumor T‐cell responses.
Shiji Fang +17 more
wiley +1 more source
Optimal tracking consensus for swarm systems with leader-following switching topologies. [PDF]
Zhang Q, Wang C, Zhao M, Xi J, Zheng Y.
europepmc +1 more source
THE IMPACT OF COOPERATIVE LEARNING IN TEACHING COMMUNICATION SKILLS FOR PSYCHIATRIC NURSING STUDENTS
Azza Saad Zaghloul El-Sayed +1 more
openalex +1 more source
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan +9 more
wiley +1 more source

