Results 151 to 160 of about 6,744 (264)

Disruption of the SNRPF–DDX24–E2F4 Feedback Loop Uncouples Splicing and Transcriptional Regulation to Suppress Ovarian Cancer Progression

Advanced Science, EarlyView.
This study identifies SNRPF as a critical oncogenic driver in ovarian cancer. By regulating a self‐sustaining SNRPF–DDX24–E2F4 feedback loop through intron retention and nonsense‐mediated decay, SNRPF couples RNA splicing with transcriptional regulation to promote tumor progression.
Yingwei Li, Zhongshao Chen, Qianqian Gao, Yuehan Gao, Ning Yang   +4 more
wiley   +1 more source

Mapping the Convergence of Frontier Technologies for Major Environmental Challenges: A Chemical and Molecular Perspective on the Use of AI for Climate Action and Antimicrobial Resistance. [PDF]

Molecules
Rojas-Flores SJ, Liza R, Nazario-Naveda R, Díaz F, Delfin-Narciso D, Cardenas MG, Cabanillas-Chirinos L.   +6 more
europepmc   +1 more source

FUCA2 Sustains AKT Signaling and Suppresses Senescence by Antagonizing FUT3‐Mediated ErbB3 Fucosylation in Lung Adenocarcinoma

Advanced Science, EarlyView.
ABSTRACT While targeted therapies have improved outcomes in lung adenocarcinoma (LUAD), many patients still lack targetable mutations. Here, we identified alpha‐L‐fucosidase 2 (FUCA2) as a crucial driver of LUAD by preventing cellular senescence. Mechanistically, through the restriction of fucosyltransferase 3 (FUT3)‐mediated α‐1,3‐fucosylation of ...
Lu Chen, Jintao Guo, Fei Li, Mingjie Gao, Runyang Li, Zhaozhang Huang, Yaolin Zheng, Chunyi Gao, Jihuan Hou, Qiang Yu, Bowen Zheng, Xuemei Chen, Wenqing Zhang, Xiaoting Hong, Yali Zheng, Daxuan Wang, Qiyuan Li, Tianhui Hu, Yan‐yan Zhan   +18 more
wiley   +1 more source

Policy transmission of "Healthy China 2030" on community health curriculum reform in higher vocational medical education. [PDF]

Front Public Health
Zhang J, Nie JY.
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Care, Discipline, and the Politics of Visibility in Allied Surgical Histories, 1870-1945. [PDF]

Nurs Inq
Dunn J.
europepmc   +1 more source

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

Advanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua, Anira Escrichs, Yonatan Sanz Perl, Morten L. Kringelbach, Adele Diamond, Solange Denervaud, Gustavo Deco   +6 more
wiley   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Occupational health content in Spanish undergraduate nursing degrees: a nationwide cross-sectional study. [PDF]

BMC Nurs
Romero-Collado A, Zabaleta-Del-Olmo E, Homs-Romero E, Serrat-Graboleda E, Rascón-Hernán C.   +4 more
europepmc   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source