Results 91 to 100 of about 63,459 (296)

Multi-agent decision-making dynamics inspired by honeybees [PDF]

, 2018
When choosing between candidate nest sites, a honeybee swarm reliably chooses the most valuable site and even when faced with the choice between near-equal value sites, it makes highly efficient decisions.
Franci, Alessio, Gray, Rebecca, Leonard, Naomi Ehrich, Srivastava, Vaibhav   +3 more
core   +1 more source

The continuing significance of chiral agrochemicals

Pest Management Science, Volume 81, Issue 4, Page 1697-1716, April 2025.
In the time frame 2018–2023, around 43% of the 35 chiral agrochemicals introduced to the market (herbicides, fungicides, insecticides, acaricides, and nematicides) contain one or more stereogenic centers in the molecule, and almost 69% of them have been marketed as racemic mixtures of enantiomers or stereoisomers.
Peter Jeschke
wiley   +1 more source

The Morphological Image of Fat Body and Tergal Gland Cells in Uninseminated Apis mellifera Queen Bees

Insects
The morphological changes in fat body cells, tergal gland cells, and the surface areas of the cell nuclei were determined in queen bees of the subspecies Apis mellifera carnica.
Milena Jaremek, Krzysztof Olszewski, Jacek Chobotow, Aneta Strachecka   +3 more
doaj   +1 more source

The Wisdom of Honeybee Defenses Against Environmental Stresses

Frontiers in Microbiology, 2018
As one of the predominant pollinator, honeybees provide important ecosystem service to crops and wild plants, and generate great economic benefit for humans.
Guilin Li, Hang Zhao, Zhenguo Liu, Hongfang Wang, Baohua Xu, Xingqi Guo   +5 more
doaj   +1 more source

A Review of Metal–Organic Framework (MOF) Based Active Food Packaging: Materials Selection, Cellulose Matrices Current Advances, Synthesis and Characterizations

Packaging Technology and Science, EarlyView.
Active packaging offers an effective approach to extending food shelf life. This review summarizes the past decade of progress in metal‐organic framework (MOF)‐based active food packaging, highlighting material selection, characterization, challenges, and future prospects.
Belladini Lovely, Young‐Teck Kim, Haibo Huang, Novitri Hastuti, Su Jung Hong   +4 more
wiley   +1 more source

Effects of Flight on Gene Expression and Aging in the Honey Bee Brain and Flight Muscle [PDF]

, 2012
Honey bees move through a series of in-hive tasks (e.g., “nursing”) to outside tasks (e.g., “foraging”) that are coincident with physiological changes and higher levels of metabolic activity.
Ammons, Andrew, Benito, Azucena A., Elekonich, Michelle M., Mancinelli, Georgina E., Margotta, Joseph, Roberts, Stephen P.   +5 more
core   +5 more sources

Field Application of an Innovative Approach to Assess Honeybee Health and Nutritional Status

Animals
Environment, forage quality, management practices, pathogens, and pesticides influence honeybee responses to stressors. This study proposes an innovative approach to assess colony health and performance using molecular diagnostic tools by correlating ...
Cecilia Rudelli, Roberta Galuppi, Riccardo Cabbri, Thomas Dalmonte, Luca Fontanesi, Giulia Andreani, Gloria Isani   +6 more
doaj   +1 more source

Forager bees (Apis mellifera) highly express immune and detoxification genes in tissues associated with nectar processing. [PDF]

, 2015
Pollinators, including honey bees, routinely encounter potentially harmful microorganisms and phytochemicals during foraging. However, the mechanisms by which honey bees manage these potential threats are poorly understood.
Johnson, Brian R, Mohamed, Abbas, Vannette, Rachel L   +2 more
core   +1 more source

Making Learning Personally Relevant: Sensemaking Assets Used in Families' Discussions While Using a Pollinator‐Focused Mobile Augmented Reality App

Science Education, EarlyView.
ABSTRACT This study seeks to better understand the unique sensemaking assets that rural families weave into their outdoor learning experience while using a location‐based mobile app focused on healthy habitats for solitary bees. The project included mobile augmented reality (AR) technologies, which are increasingly used as educational tools at informal
Lucy R. McClain, Lillyanna Cowdery‐Faimon, Heather Toomey Zimmerman, Susan M. Land   +3 more
wiley   +1 more source

IoT and Machine Learning Techniques for Precision Beekeeping: A Review

AI
Integrating Internet of Things (IoT) devices and machine learning (ML) techniques holds immense potential for transforming beekeeping practices. This review paper offers a critical analysis of state-of-the-art IoT-enabled precision beekeeping systems. It
Agatha Turyagyenda, Andrew Katumba, Roseline Akol, Mary Nsabagwa, Mbazingwa Elirehema Mkiramweni   +4 more
doaj   +1 more source