Results 151 to 160 of about 114,287 (303)
Detecting cryptic ghost lineage introgression in four‐taxon genomic datasets
Abstract Premise Hybridization and introgression are pervasive evolutionary forces that have played fundamental roles in shaping the diversity of wild and domesticated plants. Four‐taxon tests for introgression provide a reliable framework for detecting signatures of ancient introgression from genomic data, which have played an important role in ...
Evan S. Forsythe +3 more
wiley +1 more source
Rule pruning and prediction methods for associative classification approach in data mining
Recent studies in data mining revealed that Associative Classification (AC) data mining approach builds competitive classification classifiers with reference to accuracy when compared to classic classification approaches including decision tree and rule ...
Abu Mansour, Hussein Y
core
One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget
Introducing sparsity in a neural network has been an efficient way to reduce its complexity while keeping its performance almost intact. Most of the time, sparsity is introduced using a three-stage pipeline: 1) train the model to convergence, 2) prune ...
Hubens, Nathan +4 more
core
Ancient hybridization and phylogenetic discordance: Exploring evolutionary complexity in Asteraceae
Abstract Premise Conflicting phylogenetic signals are common in plant phylogenomics and often reflect evolutionary histories shaped by processes like hybridization, incomplete lineage sorting, and whole‐genome duplication (WGD). We aimed to identify and assess these complex processes in the hyper‐diverse family Asteraceae to offer insight into the ...
Paige A. Ellestad +6 more
wiley +1 more source
Detecting introgression from phylogenetic invariant site patterns using machine learning
Abstract Premise Detecting historical introgression among populations or species from genomic data is a common goal in evolutionary genetics. Most current methods fall into two major categories: network inference and admixture inference. Network inference (e.g., SNaQ) is computationally challenging and typically requires first reducing large genomic ...
Patrick F. McKenzie, Deren A. R. Eaton
wiley +1 more source
This paper presents practical lessons that I learned while preparing, conducting, and reviewing a significant pruning project at Colorado Christian University (CCU) between 2018-2024. I will first share some details about CCU and its library collection, provide a definition for “pruning,” and then share practical lessons I learned in the past few years
openaire +2 more sources
ILN-YOLOv8: A Lightweight Image Recognition Model for Crimped Wire Connectors
With the rapid growth of China’s new energy vehicle industry, the quality of crimped wire connectors directly impacts the performance of wiring harnesses, which are critical to the overall vehicle quality.
Xiaojian Zhou +5 more
doaj +1 more source
We describe the functional anatomy of masticatory muscles in nine opossums, finding a generalized anatomical pattern with differences related to skull morphology. Variation in quantitative myological data and estimated bite force was mostly related to size, and the increase in bite force supports dietary diversification associated with size increase ...
Juann A. F. H. Abreu, Diego Astúa
wiley +1 more source
Two cases of prune belly syndrome in Black infants are presented. The prune belly syndrome, or congenital absence of abdominal muscles, is accompanied by hydro-ureter, hydronephrosis, megalocystis and usually undescended testes. Other associated congenital defects occur, of which orthopaedic defects appear to be the most prevalent.
Hammond, J.A. +3 more
openaire +3 more sources
Abstract The ray‐finned fishes include one out of every two species of living vertebrates on Earth and have an abundant fossil record stretching 380 million years into the past. The division of systematic knowledge of ray‐finned fishes between paleontologists working on extinct animals and neontologists studying extant species has obscured the ...
Jack Stack
wiley +1 more source

