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Identification of the primary pollution sources and dominant influencing factors of soil heavy metals using a random forest model optimized by genetic algorithm coupled with geodetector.
Ecotoxicol Environ Saf
January 2025
College of Resource and Environment, Henan Polytechnic University, Jiaozuo 454003, China.
Identifying and quantifying the dominant factors influencing heavy metal (HM) pollution sources are essential for maintaining soil ecological health and implementing effective pollution control measures. This study analyzed soil HM samples from 53 different land use types in Jiaozuo City, Henan Province, China. Pollution sources were identified using Absolute Principal Component Score (APCS), with 8 anthropogenic factors, 9 natural factors, and 4 soil physicochemical properties mapped using Geographic Information System (GIS) kernel density estimation.
View Article and Find Full Text PDFThe Cost of Randomness in Evolutionary Algorithms: Crossover Can Save Random Bits.
Evol Comput
January 2025
Chair of Algorithms for Intelligent Systems, University of Passau, Passau, Germany
Evolutionary algorithms make countless random decisions during selection, mutation and crossover operations. These random decisions require a steady stream of random numbers. We analyze the expected number of random bits used throughout a run of an evolutionary algorithm and refer to this as the cost of randomness.
View Article and Find Full Text PDFTail Tales: How Ecological Context Mediates Signal Effectiveness in a Lizard.
Integr Zool
January 2025
Animal Behaviour Group, Department of Environment and Genetics, La Trobe University, Melbourne, Victoria, Australia.
Animal signals are complex, comprising multiple components influenced by ecological factors and viewing perspectives that together impact their overall effectiveness. Our study explores how these factors affect the efficacy of multi-component signals in the Qinghai toad-headed agama, Phrynocephalus vlangalii. Using 3D animations, we simulated natural environments to evaluate how tail coiling and tail lashing-two primary tail displays-vary in effectiveness from both conspecific and predator perspectives under different ecological conditions.
View Article and Find Full Text PDFHardy-Rand-Rittler colour vision testing in cone and cone-rod dystrophies: correlation with structural and functional outcome measures.
Eye (Lond)
January 2025
Save Sight Institute, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Purpose: To determine how Hardy-Rand-Rittler (HRR) colour vision testing correlates with visual functional and structural assessments in Cone and Cone-Rod Dystrophy.
Methods: Thirty-four Cone and 69 Cone-Rod Dystrophy patients diagnosed by electroretinography (ERG) at the Save Sight Institute in Sydney were included in a retrospective analysis. Each patient's HRR colour vision test scores were compared with markers of cone and rod system function including visual acuity (VA), ERG responses, changes on Spectral Domain Optical Coherence Tomography (OCT) and Fundus Autofluorescence.
A new species of Gray, 1827 (Squamata, Gekkonidae) from Yunnan Nangunhe National Nature Reserve, China.
Zookeys
January 2025
Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China.
A new forest-dwelling species of the group is described from southwestern Yunnan Province, China. Phylogenetically, it was recovered as the sister species of , with a genetic distance of 9.2% in the ND2 gene.
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