Is there a "mind" behind the music? Attributing music to AI can suppress narrative meaning-making. [PDF]
Wu SH, Holmes KJ.
europepmc +1 more source
An activity‐dependent pathway links prefrontal circuit hypoactivity to cognitive impairment. Reduced PVA–mPFC activity upregulates NEPAS, which suppresses PTX3 secretion, leading to impaired angiogenesis, myelin deficits, and memory decline. Rescue is achieved by NEPAS knockdown or chemogenetic circuit activation.
Boya Hu +11 more
wiley +1 more source
Simulating the "cultural other": the impact of GenAI interlocutors on EFL learners' intercultural communicative competence, speaking anxiety, and learning engagement. [PDF]
Qu Z, Chen L.
europepmc +1 more source
Generation of CCR4/CD7 Bispecific CAR‐T Cells Resistant to Fratricide and Exhaustion
The applications of CAR T‐cell therapy in T‐cell malignancies face limitations such as fratricide, effector‐cell exhaustion, and antigen‐escape. Herein, we developed fratricide‐ and exhaustion‐resistant CAR‐T cells that targeted CCR4 and CD7 simultaneously, with optional EGFRt safety switch. Additionally, scRNA‐seq unveiled new molecular targets, which
Sile Li +10 more
wiley +1 more source
How doctors move from generic goals to specific communicative behaviour in real practice communications [PDF]
Elwyn, G. +4 more
core +1 more source
From perceptions to beliefs: the mediating role of attitudes in pre-service English teacher cognition of Communicative Language Teaching in China. [PDF]
Zhou J, Liu D.
europepmc +1 more source
A probabilistic framework based on random time‐space coding metasurfaces enables control of the spatial distribution of electromagnetic fields temporal statistics. By tailoring the marginal and joint distributions of random codes, electromagnetic fields with desired mean and variance patterns are realized, enabling simultaneous transmission and jamming.
Jia Cheng Li +3 more
wiley +1 more source
Beyond the hype: a psychological perspective on AI chatbots. [PDF]
Zhou X, Li C.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source

