Results 191 to 200 of about 600,925 (257)
A pH‐responsive ZIF‐8/2‐DG@Cu‐TA nanoplatform orchestrates multifaceted metabolic disruption for synergistic starvation‐immunotherapy. Acid‐triggered 2‐DG release blocks glycolysis, while Zn2+ overload induces mitochondrial dysfunction. Concurrently, Cx43‐mediated gap junctions redirect lipid droplets from tumor cells to cancer‐associated fibroblasts ...
Xianlong Zong +9 more
wiley +1 more source
Effect of Environment on the Cognition of Older Adults: A Narrative Review. [PDF]
Sánchez-Nieto JM +2 more
europepmc +1 more source
This review summarizes the developments in field‐effect transistor (FET)‐based dual‐mode sensor platforms and what can be learned from them. It identifies charge as a crucial factor in biomolecular interactions at interfaces, outlines the challenges of hybrid systems, and highlights their benefits.
Roger Hasler +4 more
wiley +1 more source
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho +5 more
wiley +1 more source
Too young to ask their own questions: Learning and visitor dynamics in a constructivist museum environment. [PDF]
Wanča N, Jehlička J, Hála A.
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
Preference differences of different styles of oil paintings in various interior environments based on the PAD emotional state model and EEG. [PDF]
Huang D +7 more
europepmc +1 more source
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
Ag─S Sites Steer Furfural Electroreduction to Furfuryl Alcohol
A simple sulfide incorporation strategy turns silver into a highly active and selective catalyst for furfural electroreduction to furfuryl alcohol. Experiments combined with density functional theory reveal how isolated S sites promote hydrogenation while suppressing hydrofuroin coupling, enabling selective biomass upgrading.
Haibin Ma +6 more
wiley +2 more sources
How NeuroArts Aid in the Well-Being of People: A Scoping Review. [PDF]
Dy JSH +4 more
europepmc +1 more source

