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https://www.readbyqxmd.com/read/29040619/sublethal-effects-of-the-neonicotinoid-insecticide-thiamethoxam-on-the-transcriptome-of-the-honey-bees-hymenoptera-apidae
#1
Teng-Fei Shi, Yu-Fei Wang, Fang Liu, Lei Qi, Lin-Sheng Yu
Neonicotinoid insecticides are now the most widely used insecticides in the world. Previous studies have indicated that sublethal doses of neonicotinoids impair learning, memory capacity, foraging, and immunocompetence in honey bees (Apis mellifera, Linnaeus) (Hymenoptera: Apidae). Despite these, few studies have been carried out on the molecular effects of neonicotinoids. In this study, we focus on the second-generation neonicotinoid thiamethoxam, which is currently widely used in agriculture to protect crops...
October 11, 2017: Journal of Economic Entomology
https://www.readbyqxmd.com/read/28921711/foxp-expression-identifies-a-kenyon-cell-subtype-in-the-honeybee-mushroom-bodies-linking-them-to-fruitfly-%C3%AE-%C3%AE-c-neurons
#2
Adriana Schatton, Constance Scharff
The arthropod mushroom bodies (MB) are a higher order sensory integration center. In insects, they play a central role in associative olfactory learning and memory. In Drosophila melanogaster (Dm), the highly ordered connectivity of heterogeneous MB neuron populations has been mapped using sophisticated molecular genetic and anatomical techniques. The MB-core subpopulation was recently shown to express the transcription factor FoxP with relevance for decision-making. Here we report the development and adult distribution of a FoxP-expressing neuron population in the MB of honeybees (Apis mellifera, Am) using in situ hybridization and a custom-made antiserum...
September 16, 2017: European Journal of Neuroscience
https://www.readbyqxmd.com/read/28916947/honey-bees-possess-a-polarity-sensitive-magnetoreceptor
#3
Veronika Lambinet, Michael E Hayden, Chloe Reid, Gerhard Gries
Honey bees, Apis mellifera, exploit the geomagnetic field for orientation during foraging and for alignment of their combs within hives. We tested the hypothesis that honey bees sense the polarity of magnetic fields. We created an engineered magnetic anomaly in which the magnetic field generally either converged toward a sugar reward in a watch glass, or away from it. After bees in behavioral field studies had learned to associate this anomaly with a sugar water reward, we subjected them to two experiments performed in random order...
September 15, 2017: Journal of Comparative Physiology. A, Neuroethology, Sensory, Neural, and Behavioral Physiology
https://www.readbyqxmd.com/read/28916631/experience-during-early-adulthood-shapes-the-learning-capacities-and-the-number-of-synaptic-boutons-in-the-mushroom-bodies-of-honey-bees-apis-mellifera
#4
Amélie Cabirol, Rufus Brooks, Claudia Groh, Andrew B Barron, Jean-Marc Devaud
The honey bee mushroom bodies (MBs) are brain centers required for specific learning tasks. Here, we show that environmental conditions experienced as young adults affect the maturation of MB neuropil and performance in a MB-dependent learning task. Specifically, olfactory reversal learning was selectively impaired following early exposure to an impoverished environment lacking some of the sensory and social interactions present in the hive. In parallel, the overall number of synaptic boutons increased within the MB olfactory neuropil, whose volume remained unaffected...
October 2017: Learning & Memory
https://www.readbyqxmd.com/read/28879772/brain-membrane-proteome-and-phosphoproteome-reveal-molecular-basis-associating-with-nursing-and-foraging-behaviors-of-honeybee-workers
#5
Bin Han, Yu Fang, Mao Feng, Han Hu, Yue Hao, Chuan Ma, Xinmei Huo, Lifeng Meng, Xufeng Zhang, Fan Wu, Jianke Li
The brain is a vital organ in regulating complex social behaviors of honeybees including learning and memory. Knowledge of how brain membrane proteins and their phosphorylation underlie the age-related behavioral polyethism is still lacking. A hitherto age-resolved brain membrane proteome and phosphoproteome were reported in adult worker bees from two strains of honeybee (Apis mellifera ligustica): Italian bee (ITB) and Royal Jelly bee (RJB), a line selected from ITB for increased RJ outputs over four decades...
September 15, 2017: Journal of Proteome Research
https://www.readbyqxmd.com/read/28844654/appetitive-olfactory-learning-and-memory-in-the-honeybee-depend-on-sugar-reward-identity
#6
Nicola K Simcock, Helen Gray, Sofia Bouchebti, Geraldine A Wright
One of the most important tasks of the brain is to learn and remember information associated with food. Studies in mice and Drosophila have shown that sugar rewards must be metabolisable to form lasting memories, but few other animals have been studied. Here, we trained adult, worker honeybees (Apis mellifera) in two olfactory tasks (massed and spaced conditioning) known to affect memory formation to test how the schedule of reinforcement and the nature of a sugar reward affected learning and memory. The antennae and mouthparts of honeybees were most sensitive to sucrose but glucose and fructose were equally phagostimulatory...
August 24, 2017: Journal of Insect Physiology
https://www.readbyqxmd.com/read/28542163/two-extended-haplotype-blocks-are-associated-with-adaptation-to-high-altitude-habitats-in-east-african-honey-bees
#7
Andreas Wallberg, Caspar Schöning, Matthew T Webster, Martin Hasselmann
Understanding the genetic basis of adaption is a central task in biology. Populations of the honey bee Apis mellifera that inhabit the mountain forests of East Africa differ in behavior and morphology from those inhabiting the surrounding lowland savannahs, which likely reflects adaptation to these habitats. We performed whole genome sequencing on 39 samples of highland and lowland bees from two pairs of populations to determine their evolutionary affinities and identify the genetic basis of these putative adaptations...
May 2017: PLoS Genetics
https://www.readbyqxmd.com/read/28534788/rankmap-a-framework-for-distributed-learning-from-dense-data-sets
#8
Azalia Mirhoseini, Eva L Dyer, Ebrahim M Songhori, Richard Baraniuk, Farinaz Koushanfar
This paper introduces RankMap, a platform-aware end-to-end framework for efficient execution of a broad class of iterative learning algorithms for massive and dense data sets. Our framework exploits data structure to scalably factorize it into an ensemble of lower rank subspaces. The factorization creates sparse low-dimensional representations of the data, a property which is leveraged to devise effective mapping and scheduling of iterative learning algorithms on the distributed computing machines. We provide two APIs, one matrix-based and one graph-based, which facilitate automated adoption of the framework for performing several contemporary learning applications...
May 17, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28505483/the-effects-of-ingested-aqueous-aluminum-on-floral-fidelity-and-foraging-strategy-in-honey-bees-apis-mellifera
#9
Ana M Chicas-Mosier, Bree A Cooper, Alexander M Melendez, Melina Pérez, Devrim Oskay, Charles I Abramson
Pollinator decline is of international concern because of the economic services these organisms provide. Commonly cited sources of decline are toxicants, habitat fragmentation, and parasites. Toxicant exposure can occur through uptake and distribution from plant tissues and resources such as pollen and nectar. Metals such as aluminum can be distributed to pollinators and other herbivores through this route especially in acidified or mined areas. A free-flying artificial flower patch apparatus was used to understand how two concentrations of aluminum (2mg/L and 20mg/L) may affect the learning, orientation, and foraging behaviors of honey bees (Apis mellifera) in Turkey...
September 2017: Ecotoxicology and Environmental Safety
https://www.readbyqxmd.com/read/28363883/methods-for-coding-tobacco-related-twitter-data-a-systematic-review
#10
REVIEW
Brianna A Lienemann, Jennifer B Unger, Tess Boley Cruz, Kar-Hai Chu
BACKGROUND: As Twitter has grown in popularity to 313 million monthly active users, researchers have increasingly been using it as a data source for tobacco-related research. OBJECTIVE: The objective of this systematic review was to assess the methodological approaches of categorically coded tobacco Twitter data and make recommendations for future studies. METHODS: Data sources included PsycINFO, Web of Science, PubMed, ABI/INFORM, Communication Source, and Tobacco Regulatory Science...
March 31, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28329835/machine-learning-sentiment-analysis-and-tweets-an-examination-of-alzheimer-s-disease-stigma-on-twitter
#11
Nels Oscar, Pamela A Fox, Racheal Croucher, Riana Wernick, Jessica Keune, Karen Hooker
Objectives: Social scientists need practical methods for harnessing large, publicly available datasets that inform the social context of aging. We describe our development of a semi-automated text coding method and use a content analysis of Alzheimer's disease (AD) and dementia portrayal on Twitter to demonstrate its use. The approach improves feasibility of examining large publicly available datasets. Method: Machine learning techniques modeled stigmatization expressed in 31,150 AD-related tweets collected via Twitter's search API based on 9 AD-related keywords...
September 1, 2017: Journals of Gerontology. Series B, Psychological Sciences and Social Sciences
https://www.readbyqxmd.com/read/28323874/c-type-allatostatins-mimic-stress-related-effects-of-alarm-pheromone-on-honey-bee-learning-and-memory-recall
#12
Elodie Urlacher, Jean-Marc Devaud, Alison R Mercer
As honey bee populations worldwide are declining there is an urgent need for a deeper understanding of stress reactivity in these important insects. Our data indicate that stress responses in bees (Apis mellifera L.) may be mediated by neuropeptides identified, on the basis of sequence similarities, as allatostatins (ASTA, ASTC and ASTCC). Effects of allatostatin injection are compared with stress-related changes in learning performance induced by the honeybee alarm pheromone, isopentylacetate (IPA). We find that bees can exhibit two markedly different responses to IPA, with opposing effects on learning behaviour and memory generalisation, and that strikingly similar responses can be elicited by allatostatins, in particular ASTCC...
2017: PloS One
https://www.readbyqxmd.com/read/28245532/volume-and-density-of-microglomeruli-in-the-honey-bee-mushroom-bodies-do-not-predict-performance-on-a-foraging-task
#13
Byron N Van Nest, Ashley E Wagner, Glen S Marrs, Susan E Fahrbach
The mushroom bodies (MBs) are insect brain regions important for sensory integration, learning, and memory. In adult worker honey bees (Apis mellifera), the volume of neuropil associated with the MBs is larger in experienced foragers compared with hive bees and less experienced foragers. In addition, the characteristic synaptic structures of the calycal neuropils, the microglomeruli, are larger but present at lower density in 35-day-old foragers relative to 1-day-old workers. Age- and experience-based changes in plasticity of the MBs are assumed to support performance of challenging tasks, but the behavioral consequences of brain plasticity in insects are rarely examined...
September 2017: Developmental Neurobiology
https://www.readbyqxmd.com/read/28191986/studies-of-learned-helplessness-in-honey-bees-apis-mellifera-ligustica
#14
Christopher W Dinges, Christopher A Varnon, Lisa D Cota, Stephen Slykerman, Charles I Abramson
The current study reports 2 experiments investigating learned helplessness in the honey bee (Apis mellifera ligustica). In Experiment 1, we used a traditional escape method but found the bees' activity levels too high to observe changes due to treatment conditions. The bees were not able to learn in this traditional escape procedure; thus, such procedures may be inappropriate to study learned helplessness in honey bees. In Experiment 2, we used an alternative punishment, or passive avoidance, method to investigate learned helplessness...
April 2017: Journal of Experimental Psychology. Animal Learning and Cognition
https://www.readbyqxmd.com/read/28129169/semantic-entity-component-state-management-techniques-to-enhance-software-quality-for-multimodal-vr-systems
#15
Martin Fischbach, Dennis Wiebusch, Marc Erich Latoschik
Modularity, modifiability, reusability, and API usability are important software qualities that determine the maintainability of software architectures. Virtual, Augmented, and Mixed Reality (VR, AR, MR) systems, modern computer games, as well as interactive human-robot systems often include various dedicated input-, output-, and processing subsystems. These subsystems collectively maintain a real-time simulation of a coherent application state. The resulting interdependencies between individual state representations, mutual state access, overall synchronization, and flow of control implies a conceptual close coupling whereas software quality asks for a decoupling to develop maintainable solutions...
January 23, 2017: IEEE Transactions on Visualization and Computer Graphics
https://www.readbyqxmd.com/read/28126277/weight-of-evidence-evaluation-of-a-network-of-adverse-outcome-pathways-linking-activation-of-the-nicotinic-acetylcholine-receptor-in-honey-bees-to-colony-death
#16
REVIEW
Carlie A LaLone, Daniel L Villeneuve, Judy Wu-Smart, Rebecca Y Milsk, Keith Sappington, Kristina V Garber, Justin Housenger, Gerald T Ankley
Ongoing honey bee (Apis mellifera) colony losses are of significant international concern because of the essential role these insects play in pollinating crops. Both chemical and non-chemical stressors have been implicated as possible contributors to colony failure; however, the potential role(s) of commonly-used neonicotinoid insecticides has emerged as particularly concerning. Neonicotinoids act on the nicotinic acetylcholine receptors (nAChRs) in the central nervous system to eliminate pest insects. However, mounting evidence indicates that neonicotinoids also may adversely affect beneficial pollinators, such as the honey bee, via impairments on learning and memory, and ultimately foraging success...
April 15, 2017: Science of the Total Environment
https://www.readbyqxmd.com/read/28113887/aggnet-deep-learning-from-crowds-for-mitosis-detection-in-breast-cancer-histology-images
#17
Shadi Albarqouni, Christoph Baur, Felix Achilles, Vasileios Belagiannis, Stefanie Demirci, Nassir Navab
The lack of publicly available ground-truth data has been identified as the major challenge for transferring recent developments in deep learning to the biomedical imaging domain. Though crowdsourcing has enabled annotation of large scale databases for real world images, its application for biomedical purposes requires a deeper understanding and hence, more precise definition of the actual annotation task. The fact that expert tasks are being outsourced to non-expert users may lead to noisy annotations introducing disagreement between users...
February 11, 2016: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28060305/dissection-and-observation-of-honey-bee-dorsal-vessel-for-studies-of-cardiac-function
#18
Scott T O'Neal, Troy D Anderson
The European honey bee, Apis mellifera L., is a valuable agricultural and commercial resource noted for producing honey and providing crop pollination services, as well as an important model social insect used to study memory and learning, aging, and more. Here we describe a detailed protocol for the dissection of the dorsal abdominal wall of a bee in order to visualize its dorsal vessel, which serves the role of the heart in the insect. A successful dissection will expose a functional heart that, under the proper conditions, can maintain a steady heartbeat for an extended period of time...
December 12, 2016: Journal of Visualized Experiments: JoVE
https://www.readbyqxmd.com/read/28048855/th-d-brb-01-scripting-fundamentals-killing-cancer-with-code
#19
R Popple
Scripting capabilities and application programming interfaces (APIs) are becoming commonly available in modern treatment planning systems. These links to the treatment planning system (TPS) allow users to read data from the TPS, and in some cases use TPS functionality and write data back to the TPS. Such tools are powerful extensions, allowing automation of routine clinical tasks and supporting research, particularly research involving repetitive tasks on large patient populations. The data and functionality exposed by scripting/API capabilities is vendor dependent, as are the languages used by script/API engines, such as the Microsoft ...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048205/th-d-brb-02-eclipse-scripting-fundamentals-in-net
#20
R Cardan
Scripting capabilities and application programming interfaces (APIs) are becoming commonly available in modern treatment planning systems. These links to the treatment planning system (TPS) allow users to read data from the TPS, and in some cases use TPS functionality and write data back to the TPS. Such tools are powerful extensions, allowing automation of routine clinical tasks and supporting research, particularly research involving repetitive tasks on large patient populations. The data and functionality exposed by scripting/API capabilities is vendor dependent, as are the languages used by script/API engines, such as the Microsoft ...
June 2016: Medical Physics
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