Results 71 to 80 of about 9,118 (243)
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka +3 more
wiley +1 more source
Task mapping on a dragonfly supercomputer [PDF]
The dragonfly network topology has recently gained traction in the design of high performance computing (HPC) systems and has been implemented in large-scale supercomputers.
Coskun, Ayse K. +3 more
core
Periodic and Chaotic Flapping of Insectile Wings
Insects use flight muscles attached at the base of the wings to produce impressive wing flapping frequencies. The maximum power output of these flight muscles is insufficient to maintain such wing oscillations unless there is good elastic storage of ...
Huang, Yangyang, Kanso, Eva
core +1 more source
Soybean employs its circadian clock, governed by GmCCA1, to rhythmically defend against soybean cyst nematodes. The pathogen retaliates by secreting the effector Hg4E02, which hijacks the clock to suppress defense and co‐opt the host's translation machinery for nutrient acquisition.
Xingwei Wang +21 more
wiley +1 more source
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Optimum Path Planning Using Dragonfly-Fuzzy Hybrid Controller for Autonomous Vehicle
Navigation poses a significant challenge for autonomous vehicles, prompting the exploration of various bio-inspired artificial intelligence techniques to address issues related to path generation, obstacle avoidance, and optimal path planning.
Brijesh Patel +3 more
doaj +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Bayesian Network Structure Learning Algorithm Combining Improved Dragonfly Optimization
Bayesian network structure learning is one of the current research hotspots in fields such as statistics and machine learning. Although it has great potential and application prospects, when there are too many variables, this type of algorithm will not ...
Dongmei Ji, Zheng Sun
doaj +1 more source
Trabecular bone ontogeny of the human talus
Abstract Studies of trabecular ontogeny may provide insight into the factors that drive healthy bone development. There is a growing understanding of how the juvenile skeleton responds to these influences; however, gaps in our knowledge remain. This study aims to identify ontogenetic trabecular patterns and regional changes during development within ...
Rebecca A. G. Reid +2 more
wiley +1 more source
Abstract Muscle architecture is a major determinant of muscle performance and, in mammalian lineages, has been correlated with both feeding ecology and locomotor behaviors. Over the past decade, contrast‐enhanced micro‐CT (DiceCT) has emerged as an alternative to traditional dissection‐based measurement.
Aleksandra Ratkiewicz +5 more
wiley +1 more source

