Results 121 to 130 of about 19,461 (275)

Learning sequence attractors in recurrent networks with hidden neurons

Neural Networks
The brain is targeted for processing temporal sequence information. It remains largely unclear how the brain learns to store and retrieve sequence memories. Here, we study how recurrent networks of binary neurons learn sequence attractors to store predefined pattern sequences and retrieve them robustly. We show that to store arbitrary pattern sequences,
Yao Lu, Si Wu
openaire   +3 more sources

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Carboranyl‐Curcuminoids for the Neutron Capture‐Based Treatment of Amyloid Aggregates in Alzheimer's Disease

Advanced Science, EarlyView.
The 10B‐enriched monocarbonyl analog of curcumin (BMAC) 10B‐9 enables site‐specific Boron Neutron Capture Therapy (BNCT) on amyloid‐β (Aβ) fibrils. Neutron irradiation induces histidine oxidation and fibril destabilization, as revealed by 1H‐NMR and FESEM analyses.
Sebastiano Micocci, Stefano Parisotto, Diego Alberti, Alberto Lanfranco, Valeria Bitonto, Polyssena Renzi, Martina Salmi, Andrea Magnani, Federica Dal Bello, Katiuscia Pagano, Laura Ragona, Nicoletta Protti, Annamaria Deagostino, Simonetta Geninatti Crich   +13 more
wiley   +1 more source

Hidden attractor. Localization problem

, 2017
The classification of attractors, from a computational point of view, can be made using as a criterion the simplicity of detection their basin of attraction. Taking into account this classi cation criterion, recently a concept of hidden and self-excited attractors was proposed.
openaire   +1 more source

Study of Free‐Space Optical Quantum Network: Review and Prospectives

Advanced Science, EarlyView.
Free from the constraints of fiber connections, free‐space quantum network enables longer and more flexible quantum network connections. This review summarizes and comparatively analyzes free‐space quantum network experiments based on ground stations, satellites, and mobile platforms.
Hua‐Ying Liu, Zhenda Xie, Shining Zhu
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
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, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Engineering Approaches to Modify Immunomodulatory Functions of Mesenchymal Stromal Cells (MSCs): Tissue Regeneration and Clinical Application

Advanced Science, EarlyView.
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang, Kejia Li, Ning Wang, Zhen Li, Zhiyong Zhang, Rocky S. Tuan, Yangzi Jiang   +6 more
wiley   +1 more source

Microstructure‐Resolved Modeling to Predicting and Regulating Lithium Plating‐Stripping Dynamics on Graphite Electrodes

Advanced Science, EarlyView.
ABSTRACT The lithium plating reaction in graphite electrodes acts as a root cause for the accelerated degradation and the internal short circuits in lithium‐ion batteries. Here, an electrochemical model based on multi‐scale microstructural images was established to identify lithium plating‐stripping processes, thereby supporting the predictive outcomes
Heng Huang, Yang Li, Xinyu Liu, Zhifu Zhou, Wei‐Tao Wu, Lei Wei, Chengzhi Hu, Linsong Gao, Yubai Li, Yongchen Song   +9 more
wiley   +1 more source

DC‐magnetometry Analytical Tool Driven by Spin Ordering Phenomena for Sensing Chemical Interactions at the Surface of Nanomaterials

Advanced Science, EarlyView.
The adsorption of AsV on akaganeite nanorods was found to provide a magnetic signature. A change in the surface spin order gave rise to a second peak in the zero‐field cooled curve. AsIII adsorption does not provide any change in the magnetic behavior of the sorbent.
Marco Sanna Angotzi, Valentina Mameli, Alessandra Fantasia, Cesare Atzori, Giovanni Bertoni, Vincenzo Grillo, Giorgio Divitini, Dominika Zakutna, Jana Vejpravova, Martin Kalbac, Jan Plšek, Carla Cannas   +11 more
wiley   +1 more source

All‐in‐One Underwater Quality Evaluation Metamaterial With Mechanical Robustness, Sound Attenuation, and Diffuse Reflection

Advanced Science, EarlyView.
In this work, a bioinspired all‐in‐one underwater quality evaluation metamaterial, combining sound attenuation, diffuse reflection, and mechanical robustness, is proposed based on jumping spider locomotion and human skeletal biomechanics. Meanwhile, a CNN‑driven quality evaluation framework is established for theoretically dimension‐reduced ...
Hongze Li, Zhenyu Li, Jinshui Yang, Jianhao Wu, Yidan Chen, Linzhi Wu, Hong Hu, Penglin Gao, Yegao Qu   +8 more
wiley   +1 more source