Results 161 to 170 of about 57,781 (308)

Loss reduction optimization strategies for medium and low-voltage distribution networks based on Intelligent optimization algorithms

Energy Informatics
Problem With the rapid development of social economy, the problem of line losses in distribution networks gradually becomes prominent, which directly affects the efficiency and economy of power systems.
Nian Liu, Yuehan Zhao
doaj   +1 more source

Techno-Environmental Evaluation and Optimization of a Hybrid System: Application of Numerical Simulation and Gray Wolf Algorithm in Saudi Arabia [PDF]

, 2023
Hisham Alghamdi, Aníbal Alviz-Meza
openalex   +1 more source

Regional cerebellar structural deficits distinguish psychostimulant‐free ADHD youth with and without familial risk for bipolar I disorder: a cross‐sectional morphometric analysis

Journal of Child Psychology and Psychiatry, EarlyView.
Background Although attention‐deficit/hyperactivity disorder (ADHD) with familial risk for bipolar I disorder (BD) may represent a more severe illness conferring greater risk for developing BD, associated neurostructural substrates remain poorly understood.
Biqiu Tang, L. Rodrigo Patino, Wenjing Zhang, Su Lui, Melissa P. DelBello, Robert K. McNamara   +5 more
wiley   +1 more source

Heterogeneity of iridoid biosynthesis in catmints: Molecular background in a phylogenetic context

Journal of Integrative Plant Biology, EarlyView.
Evolutionary gains and losses of key biosynthetic genes likely resulting from multiple independent evolutionary events explain why certain Nepeta (catnip) species produce both the active, cat‐attracting nepetalactones and sugar‐bound iridoids, while others make only the sugar‐bound forms, and some have lost iridoid production entirely.
Tijana Banjanac, Milica Milutinović, Dragana Matekalo, Neda Popović, Luka Petrović, Uroš Gašić, Marijana Skorić, Branislav Šiler, Tamara Lukić, Ana Stupar, Slavica Dmitrović, Jasmina Nestorović Živković, Biljana Filipović, Jelena Božunović, Miloš Todorović, Danijela Mišić   +15 more
wiley   +1 more source

Optimum Design of Effective Parameters for Orthotropic Plates with Polygonal Cut-Out

Latin American Journal of Solids and Structures
This paper investigates the effect of different parameters on stress analysis of infinite orthotropic plates with central polygonal cutout using gray wolf optimization algorithm.
Mohammad Jafari, Mohammad Hossein Bayati Chaleshtari   +1 more
doaj   +1 more source

Electron microscopy‐based three‐dimensional subcellular imaging of plant male gametophyte

Journal of Integrative Plant Biology, EarlyView.
The Aquilos2 Cryo‐FIB workflows provide practical routes for cryo‐electron tomography and volume imaging in plant structural biology. ABSTRACT Understanding cellular events in three dimensions (3D) is of great importance for the annotation and illustration of biological processes in a contextual way. Imaging techniques based on electron microscopy (EM),
Zhiqi Liu, Zizhen Liang, Mengfei Liao, Yixin Huang, Rui Ma, Jiayang Gao, Weiqi Wang, Tao Ni, Philipp S. Erdmann, Liwen Jiang   +9 more
wiley   +1 more source

DESIGN OF PID STRUCTURED TCSC CONTROLLER FOR SMALL SIGNAL STABILITY IMPROVEMENT USING GRAY WOLF OPTIMIZATION ALGORITHM

, 2023
Geetanjali Meghwal, Shruti Bhadviya, Abhishek Sharma, Prakash Sundaram, Arvind Singh Rathore   +4 more
openalex   +1 more source

Investigation and Minimization of Power Loss in Radial Distribution Network Using Gray Wolf Optimization [PDF]

, 2023
Mohammed Alqahtani, Ponnusamy Marimuthu, Moorthy Veerasamy, B. Pangedaiah, Ch. Rami Reddy, Malligunta Kiran Kumar, Muhammad Khalid   +6 more
openalex   +1 more source

3SD: Rotational symmetry single‐shot denoising in fluorescence microscopy

Journal of Microscopy, EarlyView.
Abstract Image noise is a fundamental problem in fluorescence microscopy analysis, especially in live cell imaging applications where the number of detected photons is limited due to low power of excitation lasers to prevent phototoxicity during extended imaging experiments.
Tijmen H. de Wolf, Pleun Engbers, Justine Perrin, Julie Nonnekens, Ihor Smal   +4 more
wiley   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, EarlyView.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source