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
Using Ambient Concentration Measurements to Quantify Volatile Organic Compound Emissions from Unconventional Oil and Gas Operations. [PDF]
Zhang W +5 more
europepmc +1 more source
Bubbles Acting as Micro End‐Effectors for Dexterous Manipulation and Sensing in Aqueous Environment
Inspired by bubbles, this article proposes a low‐cost method for multifunctional manipulation and sensing using microbubbles in aqueous environments. Bubbles are easily generated in situ, enabling the safe and adaptive handling of microobjects and sensing of microforces and surface textures.
Zichen Xu, Qingsong Xu
wiley +1 more source
Biodegradable Chelating Agents for Effective CaSO<sub>4</sub> Scale Removal in Oil and Gas Production. [PDF]
Hou J, Chen T, Da C, Chen S.
europepmc +1 more source
Segmented Therapeutic Delivery via Acoustic Microbubble Relay
An acoustically driven, modular segmented delivery system is presented to overcome mechanical limitations of conventional microcatheters. Oscillating microbubbles generate directional streaming that enables continuous, targeted transport across open, angled segments.
Lei Wang +6 more
wiley +1 more source
Describing the U.S. oil and gas extraction workforce with public data. [PDF]
Scott K, Bushnell T.
europepmc +1 more source
Natural Aging of Biomaterials in Ambient and Physiological Environments
Biomaterials used in biomedical applications can change their physical properties over time, even under ambient and physiological conditions. This review highlights key studies on the natural aging of materials ranging from soft hydrogels to metals and ceramics, emphasizing how time‐dependent changes influence function and performance.
Shuyu Zhang, Anne E. Staples
wiley +1 more source
Combustion performance prediction in oil and gas plants using integrated neural network models and SAP S4HANA sensor analytics. [PDF]
Keshireddy SR +6 more
europepmc +1 more source
Bowl‐shaped Janus nanomotors with platinum, iron oxide, and polypyrrole integrate catalytic, magnetic, and electric propulsion for targeted drug delivery. They demonstrate controlled, directional motion under varying pH and hydrogen peroxide conditions, with optimal performance in neutral media.
Kimia Tavakoli Dehaghi +3 more
wiley +1 more source
An Unexpected Seasonal Cycle in U.S. Oil and Gas Methane Emissions. [PDF]
Hu L +18 more
europepmc +1 more source

