Results 121 to 130 of about 36,775 (295)

Synergistic Spin‐Polarization and Single‐Atom Engineering in Magnetic Heterojunctions for Efficient Solar Water Splitting

Advanced Science, EarlyView.
High‐throughput screening led to the identification of 67 Z‐scheme heterojunctions (comprising 2D magnetic transition metal halides and non‐magnetic transition metal chalcogenides). For CrI3/MoTe2 and CrI3/WTe2, electronic structure analysis demonstrated that synergistic crystallographic point group and built‐in electric field effects generate a ...
Hongyang Ren, Zhenzhou Guo, Huirong Wu, Peilin Huang, Jie Yang, Jie Zhang, Guangqian Ding, Hongkuan Yuan, Biao Wang   +8 more
wiley   +1 more source

An Empirical Evaluation of Retrieval, Reranking, and Similarity for a Q&A-Based Retrieval Augmented Generation System

IEEE Access
Retrieval-Augmented Generation (RAG) has emerged as a fundamental paradigm for improving Large Language Models (LLMs) by incorporating external knowledge retrieval.
Harun Elkiran, Jawad Rasheed
doaj   +1 more source

Personalised Abusive Language Detection Using LLMs and Retrieval-Augmented Generation

Large language models (LLMs) can be useful tools for detecting abusive language on social media. However, LLMs are not always effective as they can overlook the diversity among individuals, which can lead to severe consequences.
Yao, Tsungcheng, Binnewies, Sebastian, Foo, Ernest   +2 more
core  

Crystal Facet‐Polysaccharide Matching in CFS‐P Nanocrystals Drives Fungal Uptake, Vacuole Destruction, and Selective Antifungal Activity

Advanced Science, EarlyView.
Facet‐engineered PVP‐capped CuFeSe2 nanocrystals exhibit potent, selective antifungal activity by strongly binding cell‐wall mannan, enabling vacuolar entry and organelle disruption. High‐index facets show superior mannan affinity, validated by theoretical calculations and experiments. CFS‐P induces vacuolar cavitation, mitochondrial abnormalities, and
Zhaohui Wang, Xiaojin Deng, Xujuan Huang, Yuhang Pan, Yao Qin, Lu Zhang, Le Xu, Tianyi Qin, Deteng Zhang, Yi Ma, Yalong Wang   +10 more
wiley   +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

Retrieval Augmented Generation Data Query Technique for Pineapple Cultivation

Journal of Engineering and Sustainable Development
Generative artificial intelligence is advancing at a blistering pace. Large Language Models, in particular, have sped up the development of machine learning applications.
Badril Abu Bakar, Siti Noor Aliah Baharom, Mohd Taufik Ahmad, Mohd Nizam Zubir, Adli Fikri Ahmad Sayuti, Mohd Aufa Mhd Bookeri   +5 more
doaj   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Enhancing Corporate Information Retrieval: Sensitivity Analysis in Retrieval-Augmented Generation Applications

LAUREA MAGISTRALEQuesta tesi esamina come migliorare il reperimento delle informazioni aziendali utilizzando l’analisi della sensibilità nelle applicazioni di Retrieval-Augmented Generation (RAG).
MARRONE, TIZIANO
core  

Temporal Interference Stimulation Enhances Neural Regeneration

Advanced Science, EarlyView.
Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressotti, Maria Garcia Garrido, Patrycja Dzialecka, Rachel Man Hoi Law, Roberto Portillo‐Lara, Bethany Geary, Elena Faillace, Shirine Merlo‐Nikpay Aslie, Marcelina Wojewska, Maria Otero‐Jimenez, Martina Genta, Luqiao Tan, Karen Duff, Javier Alegre‐Abarrategui, Rylie Green, Nir Grossmann   +15 more
wiley   +1 more source

Question Answering Enhancement Method for Large Educational Models Based on Re-ranking and Post-retrieval Reflection

大数据
Computer education is one of the requirements of modern information society education. With the development of large language models, there has been increasing attention on applying these models to the computer education process.
SUN Haoran, WANG Zhihao, WU Yifan, XIANG Yang   +3 more
doaj