Results 141 to 150 of about 68,198 (256)

Enhancing social science research on cyberbullying through human machine collaboration. [PDF]

Sci Rep
Baños-Ramos A, Reneses M, Pérez J, Valverde G, Awad E, López GL, Castro M.   +6 more
europepmc   +1 more source

Harnessing MDM2‐Mediated Targeted Degradation of Transcriptional and Epigenetic Machinery to Disrupt Oncogenic Addictions in Pediatric Sarcoma

Advanced Science, EarlyView.
MDM2 dependency in pediatric sarcomas is driven by a novel p53‐independent oncogenic cistrome alongside canonical p53 pathway suppression. This study introduces MDM2‐recruiting transcriptional and epigenetic machinery degraders (MDM2‐TEMADs) as a novel precision oncology modality.
Jiawei Zhou, Xian Guan, Nan Li, Ying Zhang, Long Xie, Xingze Huang, Zhipeng Zhu, Zhuolin Ren, Xiaoyan Yu, Hanjun Guo, Yuanfang Wu, Lin Ma, Suya Zheng, Jingyao Zhang, Jiyang Liu, Victor Kuanmin Lee, Wenhao Chen, H. Phillip Koeffler, Jinhu Wang, Xin Han, Ye Chen, Liang Xu   +21 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Deep learning-enhanced anti-noise triboelectric acoustic sensor for human-machine collaboration in noisy environments. [PDF]

Nat Commun
Yao C, Liu S, Liu Z, Huang S, Sun T, He M, Xiao G, Ouyang H, Tao Y, Qiao Y, Li M, Li Z, Shi P, Chen HJ, Xie X.   +14 more
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

Can Anthropomorphic Interfaces Improve the Ergonomics and Safety Performance of Human-Machine Collaboration in Multitasking Scenarios?-An Example of Human-Machine Co-Driving in High-Speed Trains. [PDF]

Biomimetics (Basel)
Jiang Y, Zhi 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

Prototype Learning for Medical Time Series Classification via Human-Machine Collaboration. [PDF]

Sensors (Basel)
Xie J, Wang Z, Yu Z, Ding Y, Guo B.
europepmc   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source