Results 211 to 220 of about 124,133 (290)

Tuning Amorphous‐Crystalline Catalytic Interfaces by Mechanochemistry: Cu‐Based Metallic Glasses Coupled with Ceria for CO Oxidation

Advanced Materials, EarlyView.
Ball‐milling Cu‐based metallic glasses with ceria creates a unique nanostructure where metallic glass particles are wrapped by CeO2 nanoparticles. The intimate integration triggers copper state reorganization during reaction and aging, boosting CO oxidation and COPrOx activity.
Maahin Mirzay‐Shahim, Mehran Nabahat, Laia Pascua‐Solé, Isabel Serrano, Ilaria Lucentini, Xènia Garcia, Marina Armengol‐Profitós, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Núria J. Divins, Ignacio J. Villar‐Garcia, Virginia Pérez‐Dieste, Carlos Escudero, Carlo Marini, Jordi Llorca, Eloi Pineda, Pere Bruna, Lluís Soler   +17 more
wiley   +1 more source

LLM-Augmented Multi-Agent Reinforcement Learning for Cross-Scenario Knowledge Transfer. [PDF]

Entropy (Basel)
Li C, Liu Y, Wang J, Wang Z, Lu K, Wang C.   +5 more
europepmc   +1 more source

Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects

Advanced Materials, EarlyView.
Mesoporous silica nanoparticles offer unique properties like high surface area, tunable pores, and functionalization. They excel in drug delivery, tissue engineering, and stimuli‐responsive therapies, enabling targeted and controlled treatments. With roles in cancer therapy and diagnostics, their clinical translation requires addressing challenges in ...
Miguel Manzano, María Vallet‐Regí
wiley   +1 more source

An Empirical Study of Parameter Efficient Fine-tuning on Vision-Language Pre-train Model

Recent studies applied Parameter Efficient Fine-Tuning techniques (PEFTs) to efficiently narrow the performance gap between pre-training and downstream. There are two important factors for various PEFTs, namely, the accessible data size and fine-tunable ...
Yang, Mouxing, Lv, Jiancheng, Tian, Yuxin, Liu, Dayiheng, Ren, Xingzhang, Peng, Xi, Li, Yunfan   +6 more
core  

Efficient and accurate medical AI: MediLore and MediOut. [PDF]

Front Artif Intell
Mohamed Rayhan S, Hariprasath M, Hemalatha K.   +2 more
europepmc   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source

Pre-training Everywhere: Parameter-Efficient Fine-Tuning for Medical Image Analysis via Target Parameter Pre-training

Parameter-efficient fine-tuning (PEFT) techniques have emerged to address issues of overfitting and high computational costs associated with fully fine-tuning in the paradigm of self-supervised learning.
Shu, Minglei, Xia, Yong, Chen, Ziyang, Ye, Yiwen, Lei, Xingliang   +4 more
core  

Metaheuristic optimization of deep CNNs for multi-class diagnosis of cervical cancer and lymphoma. [PDF]

Sci Rep
Abdelhay EH, Elgamily KM, Badr WOE.
europepmc   +1 more source

2D Co‐Mo‐Hydroxide‐Based Multifunctional Material for the Development of H2‐Based Clean Energy Technologies

Advanced Materials, EarlyView.
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil, Celia Castillo‐Blas, Dawid Krystian Feler, Isabel Gómez‐Recio, Miguel Tinoco, Ana Querejeta‐Fernández, Rodrigo González‐Prieto, Felipe Gándara, Romualdo Santos Silva Jr, Pilar Ferrer, Carlos Prieto, Luc Lajaunie, José Luis Martinez‐Peña, María Luisa Ruiz‐González, José María González‐Calbet   +14 more
wiley   +1 more source

A study of large language models for patient information extraction: Model architecture, fine-tuning strategy, and multi-task instruction tuning. [PDF]

J Biomed Inform
Peng C, Dong X, Lyu M, Paredes D, Zhang Y, Wu Y.   +5 more
europepmc   +1 more source