Results 161 to 170 of about 1,105 (245)

Terminal ballistic effects for 3D-printed multi-layered material consisting of Ti-6Al-4V alloy, metal matrix composite and porous titanium. [PDF]

Sci Rep
Kovalchuk DV, Savvakin DG, Janiszewski J, Fikus B, Piasta K, Nevmerzhytskiy V, Tkachuk V, Stasiuk OO, Oryshych DV, Skoryk MA, Sienkiewicz J, Markovsky PE.   +11 more
europepmc   +1 more source

Creativity and its link to epilepsy

Epilepsia Open, EarlyView.
Abstract Creative thinking represents one of our highest‐order cognitive processes, involving multiple cortical structures and an intricate interplay between several cortical and subcortical networks. It results in novel ideas that translate to useful products or concepts. The evolutionary purpose of creativity is therefore apparent, as it advances our
Itay Tokatly Latzer, Phillip L. Pearl
wiley   +1 more source

Differences in external loads of different pitch types in Chinese male college baseball players. [PDF]

Front Sports Act Living
Qin S, Ren D, Li Z, Zhang B.
europepmc   +1 more source

Hybrid Osprey‐Salp Swarm Optimization Algorithm for Single and Multiobjective Optimal Power Flow in Smart Grids With Renewable Energy Integration

Energy Science &Engineering, EarlyView.
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Gang Xiong, Krzysztof Ejsmont, Xiaoli Liu   +5 more
wiley   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, EarlyView.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

ALS-ENABLE: creating synergy and opportunity at the Advanced Light Source synchrotron structural biology beamlines. [PDF]

J Synchrotron Radiat
Ralston CY, Gupta S, Del Mundo JT, Soe AC, Russell B, Rad B, Tyler J, Paul S, Kahan DN, Kristensen LG, Subramanian S, Kidd S, Burnett K, Sankaran B, Classen S, Prigozhin DM, Taylor JR, Dickert JM, Royal KB, Rozales A, Ortega SL, Allaire M, Nix JC, Hura GL, Holton JM, Hammel M, Adams PD.   +26 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

A platform for SpyCatcher conjugation to native antibodies. [PDF]

Chem Sci
Krajcovicova S, Wharton T, Driscoll CL, King TA, Howarth MR, Spring DR.   +5 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

Functional genetic potential of benthic microbial mat communities in Arctic, Antarctic, and sub-Antarctic lakes. [PDF]

FEMS Microbiol Ecol
De Visscher J, Tytgat B, Hodgson DA, Wilmotte A, Willems A, Verleyen E, Vyverman W.   +6 more
europepmc   +1 more source