Results 161 to 170 of about 52,744 (304)

Reduction of large-scale RLCk models via low-rank balanced truncation [PDF]

, 2023
Christos Giamouzis, Dimitrios Garyfallou, Anastasis Vagenas, Nestor Evmorfopoulos   +3 more
openalex   +1 more source

Cellular Identity Crisis: RD3 Loss Fuels Plasticity and Immune Silence in Progressive Neuroblastoma

Advanced Science, EarlyView.
Researchers discovered that therapy‐induced loss of RD3 protein in neuroblastoma triggers a dangerous shift: cancer cells become more stem‐like, invasive, and resistant to treatment while evading immune detection. RD3 loss suppresses antigen presentation and boosts immune checkpoints, creating an immune‐silent environment.
Poorvi Subramanian, Sreenidhi Mohanvelu, Sheeja Aravindan, Afsana Parveen Jahir Hussain, Sivasubramani Narayanan, Sabir Salim, Loganayaki Periyasamy, Natarajan Aravindan   +7 more
wiley   +1 more source

Frequency- and Time-Limited Balanced Truncation for Large-Scale Second-Order Systems

, 2020
Benner, P., Werner, S.
core   +1 more source

PIK3CA Mutations Downregulate PPT1 to Promote Adipogenesis by Suppressing P300 Depalmitoylation and Phase Separation

Advanced Science, EarlyView.
This study demonstrates that somatic PIK3CA mutations suppress PPT1 expression via activation of the PI3K–AKT–c‐JUN axis. This reduction in PPT1 weakens its interaction with P300, thereby increasing palmitoylation at C1176 of P300 and protecting P300 from lysosomal degradation.
Hongrui Chen, Zening Huang, Rui Chang, Wei Gao, Yajing Qiu, Bin Sun, Chen Hua, Xiaoxi Lin   +7 more
wiley   +1 more source

A General and Efficient Framework for the Rapid Design of Miniaturized, Wideband, and High‐Bit RIS

Advanced Electronic Materials, EarlyView.
A general and efficient framework is proposed for the rapid design of high‐performance reconfigurable intelligent surfaces (RISs). This framework integrates advanced antenna design techniques and incorporates various load types, quantities, and values to achieve the design of high‐performance RISs.
Jun Wei Zhang, Zheng Xing Wang, Wanwan Cao, Zhen Jie Qi, Li Jie Wu, Han Qing Yang, Qun Yan Zhou, Si Ran Wang, Hui Dong Li, Jun Yan Dai, Jiang Luo, Jun Wei Wu, Jia Nan Zhang, Zhen Zhang, Qiang Cheng   +14 more
wiley   +1 more source

Balanced Truncation for Model Order Reduction of Linear Dynamical Systems with Quadratic Outputs [PDF]

, 2019
Roland Pulch, Akil Narayan
openalex   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

Advanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Vincenzo Galdi   +4 more
wiley   +1 more source

Toward Complete CO2 Electroconversion: Status, Challenges, and Perspectives

Advanced Energy Materials, EarlyView.
Electrocatalytic CO2 reduction and CO2 batteries face challenges in achieving complete CO2 conversion with high conversion rates and Faradaic efficiency simultaneously. Existing systems compromise one for the other with incomplete CO2 conversion and inefficiencies, hindering practical applications. This perspective highlights state‐of‐the‐art progress,
Changfan Xu, Ping Hong, Yulian Dong, Marc Robert, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Real‐time fault detection in multicomponent nuclear‐waste slurries through data fusion of spectroscopic sensors

AIChE Journal, EarlyView.
Abstract Three instruments–Raman spectroscopy, attenuated total reflectance–Fourier transform infrared spectroscopy, and focused beam reflectance measurement–were used to detect sensor faults, mixing faults, and unanticipated chemistry in a system of multicomponent slurries.
Steven H. Crouse, Ronald W. Rousseau, Martha A. Grover   +2 more
wiley   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source