Improving energy autonomy of positive energy districts using multi-agent deep reinforcement learning. [PDF]
Hribar J, Mohorčič M, Čampa A.
europepmc +1 more source
ABSTRACT Disparities in Assistive Technology (AT) access exist for Aboriginal and Torres Strait Islander peoples despite recent policy reforms. This paper brings together First Nations and Western academic ways of being, knowing and doing to deliver an AT practice analysis based upon primary data from two research reports into the cultural safety of AT
Shane Hearn +6 more
wiley +1 more source
Urban energy load dataset of Chattogram: Peak and off-peak variability insights. [PDF]
Barua A +3 more
europepmc +1 more source
Objective Dopaminergic imaging is a key biomarker for both the investigation of the biology of Parkinson's disease and related synucleinopathies and the evaluation of potential therapies in clinical trials. This work presents a harmonized approach for quantifying dopaminergic molecular imaging tracers, such as [123I]ioflupane (dopamine transporter scan
Zhen Fan +174 more
wiley +1 more source
Transitioning to cleaner solutions and moving away from precautionary energy stacking in Lesotho households. [PDF]
Tsoeu-Ntokoane S, Kali M, Lemaire X.
europepmc +1 more source
Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context
Agribusiness, EarlyView.
Alexis H. Villacis
wiley +1 more source
3D Hydrogel Cell Cultures and Their Biomedical Applications
The review highlights the advantages of hydrogel‐based 3D cell cultures over traditional 2D models. These hydrogels closely mimic natural cellular environments, improving research in tissue engineering, drug discovery, cancer studies, and neuroscience.
Tri Lan Thai +7 more
wiley +1 more source
Responding to a super-aged society: A community-based model for early frailty detection using AI and smart meter data -Insights from Japan. [PDF]
Uenishi M, Song P.
europepmc +1 more source
High-resolution global pathways to achieve 100% electricity access in 2030. [PDF]
Zapata V +3 more
europepmc +1 more source
Prediction of electricity consumption and hydropower production in the smart power grid based on the gated recurrent unit neural network and modified future search algorithm. [PDF]
Tang H, Wang Y, Yuan X, Razmjooy N.
europepmc +1 more source

