Results 151 to 160 of about 678,166 (199)
Stem cell research and regenerative medicine: meeting report from the Royan International Stem Cell Congress 2025. [PDF]
Bajool N +4 more
europepmc +1 more source
This paper introduces a novel resilience‐based reward‐penalty scheme (RPS) for electricity grids facing high‐impact, low‐probability (HILP) disasters. By modeling the costs of proactive asset immunization against reactive RPS penalties, our analysis conclusively demonstrates that long‐term investment in grid resilience is the more economically rational
Amirhossein Yousefi Joobeni, Reza Dashti
wiley +1 more source
Climate Change Reduces Habitat Suitability of the Endemic Iranian Ground-Jay (<i>Podoces pleskei</i>): Spatial Analyses to Guide Conservation Strategies. [PDF]
Yousefi M +5 more
europepmc +1 more source
In this study, a modified model predictive control scheme is proposed, in which a dedicated weighting factor is incorporated into the cost function to explicitly account for common‐mode voltage (CMV) effects during the control process. This modification leads to a significant reduction—up to 40%—in the magnitude of the generated CMV.
Javad Amini, Reza Roshanafekr
wiley +1 more source
Revisiting and Aligning Oral Health Prevention Strategies in Iran With Global Recommendations: Policy Brief. [PDF]
Hessari H, Darabi F, Shabani M.
europepmc +1 more source
A 4E comparison of PEMFC‐ORC and DMFC‐ORC systems shows that PEMFC‐ORC achieves 21% higher energy efficiency, while DMFC‐ORC obtains 31% higher exergy efficiency and 57% lower levelized cost of electricity. However, DMFC‐ORC emits nearly twice the annual carbon dioxide equivalent of PEMFC‐ORC.
Zahra Piryaei +2 more
wiley +1 more source
Epidemiology and subtype analysis of respiratory syncytial virus among hospitalized children under five in Isfahan during early 2024. [PDF]
Tavakoli F +3 more
europepmc +1 more source
Graph Neural Network‐Based Prediction of Building Energy Consumption
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti +4 more
wiley +1 more source
Use of medicinal herbs in an Iranian population: cross-sectional findings from the Fasa PERSIAN Cohort Study. [PDF]
Mosavat SH +9 more
europepmc +1 more source
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem +3 more
wiley +1 more source

