Results 71 to 80 of about 5,850 (234)
The topology of Rayleigh-Levy flights in two dimensions
Rayleigh-Lévy flights are simplified cosmological tools that capture certain essential statistical properties of the cosmic density field, including hierarchical structures in higher-order correlations, making them a valuable reference for studying the highly non-linear regime of structure formation.
Bernardo, Reginald Christian +3 more
openaire +3 more sources
Abstract Background Ensuring livestock welfare throughout the production chain, including transport, is an ethical and regulatory imperative. However, protocols to assess transport‐related welfare during routine abattoir inspections are not standardised, including antemortem (AM) inspection by an official veterinarian at UK abattoirs.
Sayaka Mochizuki +2 more
wiley +1 more source
Addressing real-time optimization problems becomes increasingly challenging as their complexity continues to escalate over time. So bio-optimization algorithms (BoAs) come into the picture to solve such problems due to their global search capability ...
Madhusmita Das +3 more
doaj +1 more source
Overabundant populations of eastern grey kangaroos Macropus giganteus in peri‐urban areas pose ecological and social challenges. Current management strategies are often hindered by animal welfare and logistical concerns. This study aimed to assess stress responses of kangaroos to two contraceptive delivery methods.
Fabiola R. O. Silva +4 more
wiley +1 more source
Multi-criteria Scheduling in Parallel Environment with Learning Effect
This paper is devoted to the study of a multi-criteria scheduling problem on unrelated processors with machines’ learning effect, with the goal of minimizing makespan, machine cost and maximal flow-time simultaneously, which is an NP-hard problem.
Liu Xinbo +4 more
doaj +1 more source
The Design and Application of Quantum-Behaved Particle Swarm Optimization Based on Levy Flight
Both Particle Swarm Optimization (PSO) and its improved version of Quantum-behaved Particle Swarm Optimization (QPSO) are the novel swarm intelligence optimization algorithms.
Y.Y. Liu
doaj +1 more source
Home range shifts and habitat selection across life‐history stages in grey partridges
Understanding how birds use space throughout the year is essential for effective conservation planning, even in resident species. We investigated seasonal space use in a Central European population of grey partridges Perdix perdix, a rapidly declining residential farmland bird.
Amelie Laux +2 more
wiley +1 more source
Peri‐apical masses were absent in both wild and semi‐wild Cape ground squirrels, despite dietary differences and minor incisor trauma. These findings suggest such lesions are rare outside captivity and not induced by low‐fiber diets alone, adding to the literature on environmental and dietary risk factors in elodont tooth pathology.
Quintin Norval +2 more
wiley +1 more source
With the rapid advancement of agricultural technology, Agricultural Wireless Sensor Network (AWSN) monitoring for crop growth in large-scale fields has become pivotal in smart agriculture.
Wei Chen, Qike Cao, Bingyu Cao, Bo Jin
doaj +1 more source
Experimental modeling of PEM fuel cells using a new improved seagull optimization algorithm
This study proposes an optimal model to design and simulate the proton exchange membrane fuel cell (PEMFC) systems. The purpose of this paper is to present an improved version of seagull optimization algorithm for optimal parameter identification of the ...
Yan Cao +4 more
doaj +1 more source

