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A comparative analysis of foraging route development by bumblebees and honey bees
Many pollinators, such as bees, hummingbirds and bats, use multi-destination routes (traplines) to exploit familiar plant resources. However, it is...
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The potential underlying mechanisms during learning flights
Hymenopterans, such as bees and wasps, have long fascinated researchers with their sinuous movements at novel locations. These movements, such as...
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Learning ratio performance on a brief visual learning and memory test moderates cognitive training gains in Double Decision task in healthy older adults
Cognitive training using a visual speed-of-processing task, called the Useful Field of View (UFOV) task, reduced dementia risk and reduced decline in...
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Quantifying corn LAI using machine learning and UAV multispectral imaging
Predicting leaf area index (LAI) is essential for understanding crop growth status and water-fertilizer management. The aim of this study was to...
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Neglecting students’ socio-emotional skills magnified learning losses during the pandemic
Did the dramatic learning losses from remote learning in the context of COVID-19 stem at least partly from schools having overlooked students’...
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From Genome Mining to Protein Engineering: A Structural Bioinformatics Route
This chapter outlines applications in genome mining, along with computational methods to predict protein structure and protein-ligand docking. It...
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Learning and navigating digitally rendered haptic spatial layouts
Learning spatial layouts and navigating through them rely not simply on sight but rather on multisensory processes, including touch. Digital haptics...
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Hybrid deep learning approach to improve classification of low-volume high-dimensional data
BackgroundThe performance of machine learning classification methods relies heavily on the choice of features. In many domains, feature generation...
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Self-orienting in human and machine learning
A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition...
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An Outlook for Deep Learning in Ecosystem Science
Rapid advances in hardware and software, accompanied by public- and private-sector investment, have led to a new generation of data-driven...
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Nest excavators’ learning walks in the Australian desert ant Melophorus bagoti
The Australian red honey ant, Melophorus bagoti , stands out as the most thermophilic ant in Australia, engaging in all outdoor activities during the...
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No evidence that recruitment pheromone modulates olfactory, visual, or spatial learning in the ant Lasius niger
AbstractPheromones are perhaps the most common form of intraspecific communication in the animal kingdom and used in various contexts. Their...
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Brief memory reactivations induce learning in the numeric domain
Learning of arithmetic facts such as the multiplication table requires time-consuming, repeated practice. In light of evidence indicating that...
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COSMOS: a platform for real-time morphology-based, label-free cell sorting using deep learning
Cells are the singular building blocks of life, and a comprehensive understanding of morphology, among other properties, is crucial to the assessment...
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Effects of predator associative learning and innate aversion on mimicry complexes
Undefended or weakly defended prey species can evolve to resemble better-defended prey (models) in a potentially parasitic relationship called...
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Segmentation and counting of wheat spike grains based on deep learning and textural feature
BackgroundGrain count is crucial to wheat yield composition and estimating yield parameters. However, traditional manual counting methods are...
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Cardiovascular Imaging Databases: Building Machine Learning Algorithms for Regenerative Medicine
Purpose of ReviewMyocardial regeneration is a promising alternative to heart transplantation, but the ideal stem cell type remains unknown due to...
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Social and asocial learning in zebrafish are encoded by a shared brain network that is differentially modulated by local activation
Group living animals use social and asocial cues to predict the presence of reward or punishment in the environment through associative learning. The...
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Roles of genistein in learning and memory during aging and neurological disorders
Genistein (GEN) is a non-steroidal phytoestrogen that belongs to the isoflavone class. It is abundantly found in soy. Soy and its products are used...
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Machine learning techniques on homological persistence features for prostate cancer diagnosis
The rapid evolution of image processing equipment and techniques ensures the development of novel picture analysis methodologies. One of the most...
