Providing predictive models for quality parameters of groundwater resources in arid areas of central Iran: A case study of kashan plain. [PDF]
Zarajabad AM +6 more
europepmc +1 more source
The genetic architecture of epilepsy across molecular mechanisms and clinical heterogeneity
Abstract Epilepsy comprises a highly heterogeneous group of neurological disorders unified by a persistent predisposition to recurrent seizures, yet driven by remarkably diverse genetic, molecular, and network‐level mechanisms. Advances in genomic technologies have revealed that epilepsy arises from a multilayered genetic architecture encompassing rare
Mohammad Reza Seyedtaghia +4 more
wiley +1 more source
Rocking and Rolling of Rigid Polygons Under Seismic Excitation
ABSTRACT We present an event driven analytical framework for rigid cyclic polygons subjected to horizontal ground excitation in which uplift, impact, and successive pivot switching are treated within a unified non‐smooth dynamical description. Rolling is defined as a sequence of energetically admissible transitions between neighbouring vertices tied to
Atif Rasheed +1 more
wiley +1 more source
<i>Leishmania</i> spp Infection in Patients and Great Gerbils (<i>Rhombomys opimus</i>) in a High-Risk Focus of Zoonotic Cutaneous Leishmaniasis in Central Iran: A Microscopic and Molecular Survey. [PDF]
Marvi-Moghadam N +17 more
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
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
444 Plant microfossils from the Upper Triassic of the Central Iran Basin, east-central Iran
openaire +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
Variance‐Empirical Mode Decomposition Method for Fault Detection in MMC‐HVDC Transmission Lines
A variance‐embedded empirical mode decomposition (VEMD) method is proposed for fast and accurate fault detection in MMC‐HVDC transmission lines. By combining variance analysis with EMD, the method reliably detects various faults without communication links and remains robust to noise and non‐fault transients.
Seyed Amir Hosseini, Behrooz Taheri
wiley +1 more source
Using a fuzzy DEMATEL–VIKOR framework, this study reveals policy feasibility and technological readiness as the strongest drivers of decarbonization success. The compromise ranking prioritizes energy efficiency and renewable as the most balanced strategies, whereas carbon capture and storage and the circular economy rank as the least favorable under ...
Yue Lou +4 more
wiley +1 more source

