Revisiting price linkages between London and Shanghai base metal futures markets: A time-frequency connectedness analysis. [PDF]
Pan C, Shen W.
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Flexible Target Prediction for Quantitative Trading in the American Stock Market: A Hybrid Framework Integrating Ensemble Models, Fusion Models and Transfer Learning. [PDF]
Yan K +6 more
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Counterfactual Explanation-Based Cryptocurrency Price Prediction. [PDF]
Luo X, Yin W.
europepmc +1 more source
The Deep Historical Roots of Macroeconomic Volatility
We present cross-country evidence that a country’s macroeconomic volatility, measured either by the standard deviation of output growth or the occurrence of trend-growth breaks, is significantly affected by the country’s historical variables. In particular, countries with longer histories of state-level political institutions experience less ...
openaire
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
A data driven model based approach for medium-to-long-term electricity price forecasting in power markets. [PDF]
Hu J, Cai S, Li F, Chen Y.
europepmc +1 more source
Terrestrial Cyborg Insects for Real‐Life Applications
This article reviews the development of terrestrial cyborg insects from their emergence in 1997 to mid‐2025, examining three key aspects: locomotion control methods, associated challenges with proposed solutions, and practical applications. Framing these biohybrid systems as insect‐scale mobile robots, the review provides foundational insights for new ...
Hai Nhan Le +10 more
wiley +1 more source
Impact of accurate load forecasting on electricity market stability in Japan using classical time-series and deep-learning methods. [PDF]
Rabie D, Moradi M, Xuan W, Farzaneh H.
europepmc +1 more source

