Results 71 to 80 of about 293,429 (371)
Pollen: High-throughput Federated Learning Simulation via Resource-Aware Client Placement [PDF]
Federated Learning (FL) is a privacy-focused machine learning paradigm that collaboratively trains models directly on edge devices. Simulation plays an essential role in FL adoption, helping develop novel aggregation and client sampling strategies. However, current simulators cannot emulate large-scale systems in a time-efficient manner, which limits ...
arxiv
The genome of Megachile rotundata, an extensively managed solitary pollination bee species, has been sequenced, covering 280.68 Mb and predicting 10 701 genes. The study reveals significant expansions of the Toll gene family and their abundant expression in diapause prepupae, highlighting enhanced immune responses during diapause. This genome serves as
Rangjun Shi+8 more
wiley +1 more source
Variation in pollen-donor composition among pollinators in an entomophilous tree species, Castanea crenata, revealed by single-pollen genotyping. [PDF]
BACKGROUND:In plants, reproductive success is largely determined by the composition of pollen (i.e., self-pollen and outcross-pollen from near and distant pollen-donors) transported as a result of pollinator foraging behavior (e.g., pollen carryover ...
Yoichi Hasegawa+2 more
doaj +1 more source
Pollen Patterns Form from Modulated Phases [PDF]
Pollen grains are known for their impressive variety of species-specific, microscale surface patterning. Despite having similar biological developmental steps, pollen grain surface features are remarkably geometrically varied. Previous work suggests that a physical process may drive this pattern formation and that the observed diversity of patterns can
arxiv +1 more source
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images [PDF]
Distribution shifts are characterized by differences between the training and test data distributions. They can significantly reduce the accuracy of machine learning models deployed in real-world scenarios. This paper explores the distribution shift problem when classifying pollen grains from microscopic images collected in the wild with a low-cost ...
arxiv
Sensitivity of sorghum pollen and pistil to high-temperature stress.
High temperature (HT) decreases seed set percentage in sorghum (Sorghum bicolor [L.] Moench). The relative sensitivity of pollen and particularly pistil and the mechanistic response that induces tolerance or susceptibility to HT are not well known and ...
M. Djanaguiraman+6 more
semanticscholar +1 more source
Pollen DNA barcoding: current applications and future prospects.
Identification of the species origin of pollen has many applications, including assessment of plant-pollinator networks, reconstruction of ancient plant communities, product authentication, allergen monitoring, and forensics.
K. Bell+6 more
semanticscholar +1 more source
In this study we analyzed daily pollen concentrations of Alnus spp. and Betula spp. from Worcester, UK and Wrocław, Poland. We analyzed seasonality, annual pollen index and footprint areas for the observed pollen concentrations by using the trajectory ...
Carsten Ambelas Skjøth+6 more
doaj +1 more source
Honey bees preferentially consume freshly-stored pollen. [PDF]
Honey bees (Apis mellifera) collect and store both honey and pollen in preserved forms. Pollen storage involves the addition of honey or nectar and oral secretions to pollen granules.
Mark J Carroll+5 more
doaj +1 more source
IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System [PDF]
Utilizing computer vision and the latest technological advancements, in this study, we developed a honey bee monitoring system that aims to enhance our understanding of Colony Collapse Disorder, honey bee behavior, population decline, and overall hive health. The system is positioned at the hive entrance providing real-time data, enabling beekeepers to
arxiv