Results 191 to 200 of about 162,419 (260)

Fogging and Flight Interception Traps—The Evaluation of Two Methods to Collect Canopy Arthropods

Ecology and Evolution, Volume 16, Issue 4, April 2026.
ABSTRACT The forest canopy is a crucial habitat for a wide variety of species. However, it remains difficult to assess due to significant methodological challenges and uncertainties. Flight intercept traps (FITs) and insecticidal knockdown (FOGGING) are among the most widely used techniques for sampling canopy arthropods, yet systematic comparisons of ...
Andreas Floren, Martin M. Gossner, Tobias Müller   +2 more
wiley   +1 more source

A Modified Staged Three-Level Pedicle Subtraction Osteotomy Approach for Severe Ankylosing Spondylitis Using CT Navigation and Ultrasonic Bone Scalpel. [PDF]

Cureus
Masarwa R, Palliyil NS, Al-Kalbani S, Akil H, Najjar E, Quraishi NA.   +5 more
europepmc   +1 more source

Adaptive Calculation Method of Line Loss of Distribution Network Based on Genetic Algorithm and Artificial Neural Network

Engineering Reports, Volume 8, Issue 4, April 2026.
A GA‐BP neural network model with optimized preprocessing and clustering reduces line loss calculation errors and improves efficiency in distribution networks. ABSTRACT Traditional methods for calculating distribution line losses often rely on complex mathematical models and extensive operational data, leading to cumbersome processes that struggle to ...
Tianjun Chen, Tao Deng, Junyang Wu, Ming Wen, Chengming Liu   +4 more
wiley   +1 more source

In-situ efficiency and parameter estimation for induction motors using heuristic optimization. [PDF]

Sci Rep
Göztaş M, Sahman MA, Çunkaş M.
europepmc   +1 more source

Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions

Fuel Cells, Volume 26, Issue 2, April 2026.
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi, Kourosh Malek, Thomas Kadyk, Nadiia Kulyk, Christophe Gerling, Michael H. Eikerling   +5 more
wiley   +1 more source

From Computational Screening to Enhanced Adsorption: Optimized Removal of Toxic Congo Red by Nitrogen‐rich Triazine Polymers

Macromolecular Materials and Engineering, Volume 311, Issue 4, April 2026.
This study validates a DFT‐employed screening approach for discovering new adsorbent materials for organic dyes, successfully identifying CCTAT POP as a highly effective adsorbent for Congo red dye. The POP material exhibits a superior adsorption capacity (46.51 mg g−1) and maintains a regeneration ability, achieving over 90% removal efficiency in ...
Silpa Elizabeth Peter, Anshuman Bera, Sivaranjana Reddy Vennapusa, Parimelazhagan Vairavel, Nanjagud Venkatesh Anil Kumar   +4 more
wiley   +1 more source

Intelligent hybrid optimization of tuned inerter dampers in base-isolated multi-storey structures under near-fault pulse-like ground motions. [PDF]

Sci Rep
Li J, Duan L, Zhou Q, Su Q.
europepmc   +1 more source

Enhanced Active Packaging Properties Through the Incorporation of Pomegranate Seed Oil Micro‐ and Nanoparticles

Packaging Technology and Science, Volume 39, Issue 4, Page 335-350, April 2026.
Biodegradable cassava starch films were developed incorporating micro‐ and nanoencapsulated pomegranate seed oil (PSO). The films exhibited enhanced mechanical flexibility, antioxidant activity and UV‐barrier properties. Particle size influenced the functional behaviour, highlighting lipid encapsulation as a key strategy to stabilize bioactive ...
Amanda Tibães Lopes, Maria Nunes Medeiros, Isadora Cachuit Cardoso Mota, Sandra de Oliveira Silva, Ana Paula Rodrigues, Gustavo Molina, Guilherme Carneiro, Franciele Maria Pelissari   +7 more
wiley   +1 more source

Phenomenological Prediction of Defect Formation in Continuous Casting of Steel Utilizing Fundamental Modeling and Machine Learning

steel research international, Volume 97, Issue 4, Page 2074-2088, April 2026.
In this article, decision tree classifiers are developed to predict defects in continuous casting of steel utilizing caster data from SSAB Raahe Works (Finland). Phenomenological quality criteria extracted from applicable process measurements and results from solidification and heat transfer simulations are utilized in prediction.
Julius Norrena, Seppo Louhenkilpi, Ville‐Valtteri Visuri, Tuomas Alatarvas, Agne Bogdanoff, Timo Fabritius   +5 more
wiley   +1 more source