Results 171 to 180 of about 6,020 (256)

Scarlet Fever in Iran During the Qajar Period (1796 to 1925 AD); A Brief Historical Review. [PDF]

Arch Iran Med
Golshani SA, Mansourbakht G, Haghighi M.
europepmc   +1 more source

Rocking and Rolling of Rigid Polygons Under Seismic Excitation

Earthquake Engineering &Structural Dynamics, EarlyView.
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, Christian Málaga‐Chuquitaype   +1 more
wiley   +1 more source

Comprehensive benchmarking of large language models for RNA secondary structure prediction. [PDF]

Brief Bioinform
Zablocki LI, Bugnon LA, Gerard M, Di Persia L, Stegmayer G, Milone DH.   +5 more
europepmc   +1 more source

Selecting Between Hydrogen and Methanol for Fuel Cell‐Organic Rankine Cycle Hybrid Power Systems: A Comparative 4E Analysis

Energy Science &Engineering, EarlyView.
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, Maryam Karami, Iman Khazaee   +2 more
wiley   +1 more source

Helmet Continuous Positive Airway Pressure for Acute Bronchiolitis Respiratory Failure in a Pediatric Ward: Is It a Replicable Experience? [PDF]

Children (Basel)
Musolino AM, Persia S, Supino MC, Stoppa F, Rotondi Aufiero L, Nacca R, Papini L, Pisani M, Cristaldi S, Vittucci AC, Antilici L, Cecchetti C, Raponi M, Nadkarni V, Villani A.   +14 more
europepmc   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
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, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source

Observations on an Aggregation of Grey Reef Sharks (Carcharhinus amblyrhynchos) in the Mozambique Channel Off the Coast of Nosy Be (Madagascar) and Tools for Photo-Identification-A New Aggregation Nursery Site? [PDF]

Biology (Basel)
Micarelli P, Pireddu M, Persia D, Sanna M, Vicariotto C, Pacifico A, Storelli P, Mahrer M, Venanzi E, Reinero FR.   +9 more
europepmc   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
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, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

Mirza Kazem Mahallati (1832-1896), the Pioneer of Modern Chemistry and Pharmacy in Iran. [PDF]

Arch Iran Med
Emadzadeh A.
europepmc   +1 more source