Article
Entomology
Annie J. Krueger, Emily A. Robinson, Thomas J. Weissling, Ana M. Velez, Troy D. Anderson
Summary: The study investigated the effects of cardenolide ouabain, bifenthrin, and potassium chloride on the growth and development of monarch caterpillars. Ouabain and potassium chloride significantly impacted caterpillar body weight and diet consumption, while bifenthrin had no significant effects on survival or body weight. Combinations of different compounds did not have a significant impact on caterpillar survival or body weight.
JOURNAL OF ECONOMIC ENTOMOLOGY
(2021)
Review
Computer Science, Artificial Intelligence
Yanhong Feng, Suash Deb, Gai-Ge Wang, Amir H. Alavi
Summary: Swarm intelligence involves the Monarch butterfly optimization (MBO) algorithm inspired by the migration behavior of monarch butterflies. Through migration and adjusting operations, individuals in MBO are updated to solve global optimization problems. This paper reviews the MBO algorithm, its modifications, applications, and suggests future research directions.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Environmental Sciences
Niranjana Krishnan, Yang Zhang, Melanie E. Aust, Richard L. Hellmich, Joel R. Coats, Steven P. Bradbury
Summary: In order to conserve the eastern monarch butterfly population in North America, it is necessary to establish milkweed and nectar plants in the agricultural landscapes of the north central United States. Various insecticides were tested for toxicity, with chlorantraniliprole and beta-cyfluthrin being the most toxic to all life stages, while thiamethoxam and chlorpyrifos were generally the least toxic.
ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY
(2021)
Article
Computer Science, Information Systems
Ashish Nainwal, Yatindra Kumar, Bhola Jha
Summary: Heart attack is a leading cause of death globally, and heart-related diseases have resulted in increased healthcare expenditure. This study proposes a method for diagnosing arrhythmia based on electrocardiogram signals, utilizing long-term recording devices to capture rare abnormal events. By optimizing feature vectors and applying convolutional neural networks for signal classification, the proposed method achieves comparably high classification accuracy.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Multidisciplinary Sciences
M. Jerome Beetz, Christian Kraus, Basil el Jundi
Summary: The study identified goal-direction neurons in the butterfly brain that specifically encode the insect's desired flight direction during spatial orientation.
NATURE COMMUNICATIONS
(2023)
Article
Biochemistry & Molecular Biology
M. Jerome Beetz, Christian Kraus, Myriam Franzke, David Dreyer, Martin F. Strube-Bloss, Wolfgang Rossler, Eric J. Warrant, Christine Merlin, Basil El Jundi
Summary: Animals use an internal compass for navigation, which is crucial for long-distance migrating animals like monarch butterflies. During flight, the heading-direction neurons in monarch butterflies change their tuning, transforming the central-complex network to function as a global compass. This allows for robust heading representation even under unreliable visual scenarios.
Article
Biology
M. Jerome Beetz, Basil el Jundi
Summary: This article reviews the current progress on the neural substrate of spatial orientation in Monarch butterflies and discusses how their brain controls their spectacular annual migration. It also raises open research questions that would provide important insights into understanding insect migration.
CURRENT OPINION IN INSECT SCIENCE
(2023)
Article
Computer Science, Artificial Intelligence
Lin Sun, Shanshan Si, Jing Zhao, Jiucheng Xu, Yaojin Lin, Zhiying Lv
Summary: This paper proposes two mechanisms for improving the binary Monarch Butterfly Optimization (BMBO) algorithm in metaheuristic feature selection. The new mechanisms include the introduction of transfer functions to convert continuous space into binary and the design of two BMBO models based on these transfer functions. Additionally, a new step length parameter is proposed to update the position of the butterfly, and local disturbance and group division strategies are added to prevent the algorithm from falling into local optima. Experimental results show that the designed algorithm has great classification efficiency compared to other related technologies.
APPLIED INTELLIGENCE
(2023)
Article
Ecology
Erin R. Zylstra, Leslie Ries, Naresh Neupane, Sarah P. Saunders, M. Isabel Ramirez, Eduardo Rendon-Salinas, Karen S. Oberhauser, Matthew T. Farr, Elise F. Zipkin
Summary: Data from 1994 to 2018 suggests that climate change is increasingly becoming a major driver of monarch butterfly population decline, explaining changes in population size, particularly with breeding season weather having a significant impact on determining summer population size.
NATURE ECOLOGY & EVOLUTION
(2021)
Article
Computer Science, Information Systems
O. M. Dorgham, Mohammed Alweshah, M. H. Ryalat, J. Alshaer, M. Khader, S. Alkhalaileh
Summary: In the medical field, image segmentation is crucial for surgical planning and registration, requiring accuracy. Research demonstrates the benefits of using the MBO algorithm for medical image segmentation, showing advantages in both accuracy and speed.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Multidisciplinary Sciences
Andrew K. Davis, Brenden Herkenhoff, Christina Vu, Paola A. Barriga, Mostafa Hassanalian
Summary: Studying the adaptations that enable flight in animals can provide insights into evolution, species divergence, and inspire advancements in aerospace engineering.
Article
Computer Science, Artificial Intelligence
Mohammed Alweshah, Saleh Al Khalaileh, Brij B. Gupta, Ammar Almomani, Abdelaziz Hammouri, Mohammed Azmi Al-Betar
Summary: This study combined the latest Monarch Butterfly Optimization algorithm with a wrapper feature selection method using k-nearest neighbor classifier, and conducted experiments on 18 benchmark datasets. The results showed that the MBO algorithm was superior to other algorithms in terms of high classification accuracy rate and reduced selection size.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Computer Science, Information Systems
B. Gomathi, S. T. Suganthi, Karthikeyan Krishnasamy, J. Bhuvana
Summary: The paper applies the MOIMBO algorithm to solve multi-objective task scheduling problems in the cloud, considering three different dispute objectives and using the Epsilon fuzzy dominance sort method to select the best solutions. The algorithm combines self-adaptive and greedy strategies, showing superior performance and excellent results in terms of makespan, reliability, and resource utilization.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Computer Science, Artificial Intelligence
Mohamed Ghetas
Summary: This study introduces an adaptive learning strategy and elitism strategy, namely ALMBO, to enhance the exploration capacity of the algorithm and ensure the retention of the fittest individuals, showing better performance in complex optimization problems.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Biodiversity Conservation
Stephanie D. Preston, Julia D. Liao, Theodore P. Toombs, Rainer Romero-Canyas, Julia Speiser, Colleen M. Seifert
Summary: The study found that people often described encounters with monarchs in childhood and as adults, expressing strong positive emotions and awe at their beauty and lifecycle. Sharing personal encounters was associated with current efforts to save the species and more past financial donations, while more donations were tied to awe at the monarch's mass migration.
BIODIVERSITY AND CONSERVATION
(2021)
Review
Plant Sciences
Olivier Christiaens, Steve Whyard, Ana M. Velez, Guy Smagghe
FRONTIERS IN PLANT SCIENCE
(2020)
Review
Biotechnology & Applied Microbiology
Andrew Roberts, Chad J. Boeckman, Marina Muhl, Joerg Romeis, John L. Teem, Fernando H. Valicente, Judith K. Brown, Martin G. Edwards, Steven L. Levine, Rachel L. Melnick, Thais B. Rodrigues, Ana M. Velez, Xuguo Zhou, Richard L. Hellmich
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2020)
Article
Entomology
Nicholas R. Larson, Scott T. O'Neal, Thomas P. Kuhar, Ulrich R. Bernier, Jeffrey R. Bloomquist, Troy D. Anderson
Summary: This study examined the effects of heterocyclic amines (HCAs) on forager honey bees and found that HCAs can act as effective repellents to prevent bees from feeding on treated agricultural crops. The study utilized video-tracking and field experiments, as well as EAG recordings to confirm the detection of these compounds by the bees' olfactory system. Further research into structure-activity relationships of HCAs is warranted to develop short-term repellents that can reduce bee exposure to pesticide-treated plants.
Article
Entomology
Jing Lu, Chunxiao Yang, Zhuoqi Liu, Ana M. Velez, Mujuan Guo, Shimin Chen, Baoli Qiu, Youjun Zhang, Xuguo Zhou, Huipeng Pan
Summary: The study explores RNAi as a new method for controlling the H. vigintioctopunctata pest of solanaceous plants, and demonstrates that the α and γ subunits of HvCOPI have a significant impact on mortality in both larvae and adults.
JOURNAL OF PEST SCIENCE
(2021)
Article
Entomology
Annie J. Krueger, Emily A. Robinson, Thomas J. Weissling, Ana M. Velez, Troy D. Anderson
Summary: The study investigated the effects of cardenolide ouabain, bifenthrin, and potassium chloride on the growth and development of monarch caterpillars. Ouabain and potassium chloride significantly impacted caterpillar body weight and diet consumption, while bifenthrin had no significant effects on survival or body weight. Combinations of different compounds did not have a significant impact on caterpillar survival or body weight.
JOURNAL OF ECONOMIC ENTOMOLOGY
(2021)
Article
Agronomy
Cameron J. Jack, Kaylin Kleckner, Fabien Demares, Leslie C. Rault, Troy D. Anderson, Paul R. Carlier, Jeffrey R. Bloomquist, James D. Ellis
Summary: Amitraz showed the highest toxicity to Varroa, while carbamate 2 was nearly as active and more selective due to lower bee toxicity. Carbamate 1 was less toxic to bees than Amitraz, but also less toxic to the mites. Matrine and FlyNap (R) were relatively ineffective against Varroa and moderately toxic to bees.
PEST MANAGEMENT SCIENCE
(2022)
Article
Biochemistry & Molecular Biology
Sarah E. McComic, Leslie C. Rault, Troy D. Anderson, Daniel R. Swale
Summary: This study aimed to evaluate the sensitivity of central neurons and susceptibility of fall armyworm (FAW) to chloride channel modulators to inspire the development of novel insecticides. The study found that fipronil and lindane were the most toxic modulators, with Z-stilbene also showing toxicity. However, the low toxicity of some stilbene isomers dampened enthusiasm for their development into FAW specific insecticides.
PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY
(2021)
Article
Entomology
Molly Darlington, Jordan D. Reinders, Amit Sethi, Albert L. Lu, Partha Ramaseshadri, Joshua R. Fischer, Chad J. Boeckman, Jay S. Petrick, Jason M. Roper, Kenneth E. Narva, Ana M. Velez
Summary: The western corn rootworm is an economically important pest of maize in the United States. Various management strategies have been used, but resistance has evolved, highlighting the need for new approaches. RNA interference technology is considered the next step in species-specific pest management.
Article
Biochemistry & Molecular Biology
Annie J. Krueger, Leslie C. Rault, Emily A. Robinson, Thomas J. Weissling, Ana M. Velez, Troy D. Anderson
Summary: The effects of high and low cardenolide milkweed species on the physiology of monarch caterpillars were investigated. It was found that different milkweed species can affect detoxification enzyme activity and gene expression.
PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY
(2022)
Article
Multidisciplinary Sciences
Vikas Jindal, Daqi Li, Leslie C. Rault, Soheila Fatehi, Rupinder Singh, Moritz Mating, Ye Zou, Ho-Leung Ng, Krzysztof Kaczmarek, Janusz Zabrocki, Shunhua Gui, Guy Smagghe, Troy D. Anderson, Ronald J. Nachman, Yoonseong Park
Summary: Comparative genomics can be used to develop honey bee-safe and selective acaricides targeting the Varroa mite-specific neuropeptidergic system. The study found that a peptide called proctolin can cause paralysis and death in Varroa mites without negative effects on honey bees.
SCIENTIFIC REPORTS
(2022)
Article
Biochemistry & Molecular Biology
Ellis J. Johnson, Sarah E. McComic, Leslie C. Rault, Daniel R. Swale, Troy D. Anderson
Summary: Mosquito-borne diseases pose a significant threat to human health. Frequent use of insecticides can lead to resistant mosquito populations and diminish the effectiveness of community disease control. Therefore, it is crucial to discover and develop new interventions, such as plant essential oils, to reduce mosquito populations and protect human health. In this study, the bioinsecticidal activity of cajeput oil terpenes against pyrethroid-susceptible and-resistant Aedes aegypti was demonstrated, providing important insights for resistance management.
PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY
(2023)
Article
Entomology
Debora G. Montezano, Thomas E. Hunt, Priscila M. Colombo da Luz, Kelsey Karnik, Stephen D. Kachman, Ana M. Velez, Julie A. Peterson
Summary: This study investigated the behavior of the western bean cutworm larvae when exposed to Bt plants. The results showed that the larvae were more likely to abandon plants that expressed Bt proteins. This finding is important for the use of integrated versus structured refuges.
Article
Microbiology
Sijun Liu, Arnubio Valencia-Jimenez, Molly Darlington, Ana M. Velez, Bryony C. Bonning
MICROBIOLOGY RESOURCE ANNOUNCEMENTS
(2020)