Deep Learning-Based Dynamic Time Division ISAC Beamforming for Vehicular Networks. [PDF]
Lim J, So J.
europepmc +1 more source
Photodoping in Wide‐Bandgap Perovskite Solar Cells With MXenes
Ultrafast tandem spectroscopy and DFT modeling reveal the separate dynamics and the imbalance of electrons and holes in wide bandgap perovskite solar cells with MXene incorporation. The enhanced photoconversion performances of the devices are traced to photodoping, with selective hole trapping and suppressed recombination of electrons.
Angelica Simbula +17 more
wiley +1 more source
A frequency restoration control scheme of series-parallel-type microgrids with local low bandwidth communication. [PDF]
Li L, Shen S, Tian P, Zhou K.
europepmc +1 more source
From Molecular Design to Optical Anisotropy: Orientation Control in BODIPY Langmuir‐Blodgett Films
The supramolecular organization of amphiphilic boron‐dipyrromethene (BODIPY) dyes in Langmuir–Blodgett monolayers is shown to govern their optical anisotropy. By correlating nanoscale imaging and angle‐resolved spectroscopy, we reveal symmetry‐driven control of transition dipole orientation, enabling either in‐plane or out‐of‐plane optical responses ...
Lilia Huynh +9 more
wiley +1 more source
A high-performance, portable, field-deployable gas analyzer. [PDF]
McKinnon MB, Brady I.
europepmc +1 more source
New Technology of Power Line Communication. History and New Application of Power Line Communication.
openaire +2 more sources
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
Oxytocin selectively biases sensory-prefrontal communication through network-level suppression and theta coupling. [PDF]
Jung D +5 more
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Design and Experimental Evaluation of a Hierarchical LoRaMESH-Based Sensor Network with Wi-Fi HaLow Backhaul for Smart Agriculture. [PDF]
Van CC, Tuan AT, Cong DL.
europepmc +1 more source

