Results 181 to 190 of about 3,427,817 (283)

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

Lumina-4DGS: Illumination-Robust Four-Dimensional Gaussian Splatting for Dynamic Scene Reconstruction. [PDF]

Sensors (Basel)
Wang X, Wang Q, Sun Y, Liu S.
europepmc   +1 more source

Dynamic Etching‐Induced Cl‐Terminated Ti3C2Clx/Ti3ZnC2 Heterostructure for Ammonia Electrosynthesis and Zinc‐Nitrogen Batteries

Advanced Science, EarlyView.
A stable Ti3C2Clx/Ti3ZnC2 heterostructure, fabricated by dynamic etching, exhibits outstanding electrocatalytic NRR activity (NH3 yield: 20.1 µg h−1 mg−1, FE: 38.1%) in alkaline media. The corresponding Zn‐N2 battery achieves a peak power density of 36.5 µW cm−2 and an NH3 yield of 13.1 µg h−1 mg−1, providing an advanced strategy for NH3 and ...
Yu Wang, Ying Sun, Liqun Ye, Jichi Liu, Hui Li, Yang Fu, Fengzhan Sun, Jieshan Qiu, Chang Yu, Tianyi Ma   +9 more
wiley   +1 more source

Multimodal Sensor Fusion in Autonomous Vehicles: Technologies, Architectures, and Open Challenges. [PDF]

Sensors (Basel)
Viktor P, Kiss G.
europepmc   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Granulocytic myeloid-derived suppressor cells sustain HIV reservoirs by inhibiting viral reactivation via arginase 1-mediated mechanisms. [PDF]

JCI Insight
Gallego-Cortés A, Grau-Expósito J, Mota-Gómez I, Benitez-Martinez A, Castellvi J, Navarro J, Curran A, Burgos J, Suanzes P, Falcó V, Genescà M, Buzon MJ.   +11 more
europepmc   +1 more source

Polysiloxane‐Based Single‐Ion Conducting Polymer Electrolyte for Sodium Batteries

Advanced Science, EarlyView.
We report a polysiloxane‐based single‐ion conducting polymer electrolyte for sodium batteries. This polymer electrolyte exhibits high Na+ ion mobility and a wide electrochemical stability window, enabling the long‐term stable cycling of various cathode chemistries – also at room temperature, elevated dis‐/charge rates and active material mass loadings,
Yixuan Guo, Hyokyeong Kang, Maider Zarrabeitia, Ludovica Roselli, Hyerim Kim, Vittorio Marangon, Jang‐Yeon Hwang, Dominic Bresser   +7 more
wiley   +1 more source

All-inorganic perovskites for four-dimensional dynamic encryption. [PDF]

Sci Adv
Lu Y, Li L, Cheng H, Chen H, Wu S, Qiu H, Qiu Z, Zhao Z, Han X, Liang Y, Jiang C, Zheng Y, Tang BZ.   +12 more
europepmc   +1 more source

Near‐Unity Selectivity Inversion Between CO2 Electroreduction and H2 Evolution via Atomic Coordination Editing

Advanced Science, EarlyView.
Atomic coordination editing functions as an on/off switch that toggles single‐atom catalysts between CO2 electroreduction and hydrogen evolution. ABSTRACT Precise atomic coordination editing of single‐atom catalysts (SACs) provides an effective strategy to tune their electronic structures and catalytic selectivity. Yet, achieving near‐unity selectivity
Yukun Zhao, Yuanyuan He, Mengyu Duan, Peng Yin, Jinxing Chen, Xu Han, Jie Yang, Yulin Wang, Xingjie Fu, Shibo Xi, Chuncheng Chen, Jiong Lu   +11 more
wiley   +1 more source

Safe and adaptive control of non-stationary stochastic systems via Lyapunov-constrained distributional reinforcement learning. [PDF]

Sci Rep
Khaniki MAL, Mirzaee M, Moradi E.
europepmc   +1 more source