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Journal articles on the topic 'Glow-worm'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 January 2023

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1

DeWitt, Natalie. "Glow worm." Nature Biotechnology 18, no. 1 (2000): 10. http://dx.doi.org/10.1038/71795.

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2

Scagell, Robin. "The UK Glow Worm Survey and the Glow Worm Distribution Map." Luminescence 27, no. 1 (2011): 1–2. http://dx.doi.org/10.1002/bio.1391.

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3

Scagell, Robin. "The UK Glow Worm Survey and the Glow Worm Distribution Map." Luminescence 27, no. 1 (2012): n/a. http://dx.doi.org/10.1002/bio.1392.

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4

Scagell, Robin. "The UK Glow Worm Survey and the Glow Worm Distribution Map." Luminescence 27, no. 1 (2012): i. http://dx.doi.org/10.1002/bio.2338.

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5

Viljakainen, Lumi, Anna-Maria Borshagovski, Sami Saarenpää, Arja Kaitala, and Jaana Jurvansuu. "Identification and characterisation of common glow-worm RNA viruses." Virus Genes 56, no. 2 (2020): 236–48. http://dx.doi.org/10.1007/s11262-019-01724-5.

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AbstractThe common glow-worms (Lampyris noctiluca) are best known for emission of green light by their larvae and sexually active adult females. However, both their DNA and RNA viruses remain unknown. Glow-worms are virologically interesting, as they are non-social and do not feed as adults, and hence their viral transmission may be limited. We identified viral sequences from 11 different virus taxa by the RNA-sequencing of two Finnish populations of adult glow-worms. The viruses represent nine different virus families and have negative, positive, or double-stranded RNA genomes. We also found

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6

Knight, Kathryn. "Brain switch controls glow-worm light." Journal of Experimental Biology 223, no. 15 (2020): jeb232835. http://dx.doi.org/10.1242/jeb.232835.

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7

Gardiner, Tim, and Raphael K. Didham. "Glow-worm abundance declines with increasing proximity to artificial lighting." Entomologist's Gazette 72, no. 1 (2021): 1–11. http://dx.doi.org/10.31184/g00138894.721.1798.

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The glow-worm Lampyris noctiluca (Linnaeus, 1767) (Coleoptera: Lampyridae) is thought to be declining in the UK, partially due to Artificial Lighting At Night (ALAN). It is the aim of this study to investigate the influence of increasing proximity to artificial lighting on glowworm abundance. A survey of adult female glow-worms was carried out along 18 transects in two distinct areas of eastern England, Haddiscoe and Sizewell, where illumination by ALAN was known to be different, and the effect of distance to artificial lighting on glow-worm abundance was tested using generalised linear mixed

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8

Chandler, D. "Another Lucy Poem about a Glow-Worm." Notes and Queries 52, no. 1 (2005): 37–38. http://dx.doi.org/10.1093/notesj/gji114.

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9

Hopkins, Juhani, Gautier Baudry, Ulrika Candolin, and Arja Kaitala. "I'm sexy and I glow it: female ornamentation in a nocturnal capital breeder." Biology Letters 11, no. 10 (2015): 20150599. http://dx.doi.org/10.1098/rsbl.2015.0599.

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In many species, males rely on sexual ornaments to attract females. Females, by contrast, rarely produce ornaments. The glow-worm ( Lampyris noctiluca ) is an exception where wingless females glow to attract males that fly in search of females. However, little is known about the factors that promote the evolution of female ornaments in a sexual selection context. Here, we investigated if the female ornament of the glow-worm is a signal of fecundity used in male mate choice. In support of this, we found brightness to correlate with female fecundity, and males to prefer brighter dummy females. T

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10

Tisi, Laurence C., Raphael De Cock, Alan J. A. Stewart, David Booth, and John C. Day. "Bioluminescent leakage throughout the body of the glow-worm Lampyris noctiluca (Coleoptera: Lampyridae)." Entomologia Generalis 35, no. 1 (2014): 47–151. http://dx.doi.org/10.1127/0171-8177/2014/0003.

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11

Croxall, John. "By the light of the glow-worm lamp." Endeavour 23, no. 2 (1999): 84. http://dx.doi.org/10.1016/s0160-9327(00)80021-6.

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12

S, Beula Princy, and Duraisamy S. "Glow Worm Optimization based ANFIS With Mahalanobis Distance for Effective True Blood Vessel Detection." SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 05, no. 03 (2017): 17–21. http://dx.doi.org/10.9756/sijcsea/v5i3/05010130101.

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13

Navaezadeh, Sedigheh, Mehdi Sadeghzadeh, and Ali Harounabadi. "Increasing efficiency in Grid by using glow worm Algorithm." International Journal of Computer Applications Technology and Research 2, no. 5 (2013): 606–8. http://dx.doi.org/10.7753/ijcatr0205.1015.

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14

Mayeli, Ali, Erfan Mehregan, and Mohsen Manna. "Using Glow-worm algorithm to predict companies’ financial distress." Revista de Investigaciones Universidad del Quindío 34, S3 (2022): 178–85. http://dx.doi.org/10.33975/riuq.vol34ns3.1018.

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One important research issue in the risk management area is to predict the financial distress of companies. This case has received great attention from banks, companies, managers, and investors. Although there are many studies on this case, the hybrid models (mixed feature selection and classifier models) have been used by researchers in recent years. The main objective of this study is to propose a high-performance predictive model and compare its results with other models that are commonly used for financial distress prediction. To do this, the Glowworm optimization algorithm-based hybrid ne

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15

De Cock, Raphael, and Erik Matthysen. "Do Glow-Worm Larvae (Coleoptera: Lampyridae) Use Warning Coloration?" Ethology 107, no. 11 (2001): 1019–33. http://dx.doi.org/10.1046/j.1439-0310.2001.00746.x.

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16

Cock, Raphaël De, and Erik Matthysen. "Aposematism and Bioluminescence: Experimental evidence from Glow-worm Larvae(Coleoptera: Lampyridae)." Evolutionary Ecology 13, no. 7-8 (1999): 619–39. http://dx.doi.org/10.1023/a:1011090017949.

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17

Liu, Gui‐Chun, Zhi‐Wei Dong, Qing‐Bai Hou, et al. "Second Rhagophthalmid Luciferase Cloned from Chinese Glow‐worm Menghuoius giganteus (Rhagophthalmidae: Elateroidea)." Photochemistry and Photobiology 96, no. 1 (2019): 46–54. http://dx.doi.org/10.1111/php.13172.

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18

Tyler, John. "Luminescence on the world wide web: the UK glow-worm survey website." Luminescence 19, no. 6 (2004): 358. http://dx.doi.org/10.1002/bio.790.

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19

Elgert, Christina, Juhani Hopkins, Arja Kaitala, and Ulrika Candolin. "Reproduction under light pollution: maladaptive response to spatial variation in artificial light in a glow-worm." Proceedings of the Royal Society B: Biological Sciences 287, no. 1931 (2020): 20200806. http://dx.doi.org/10.1098/rspb.2020.0806.

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The amount of artificial light at night is growing worldwide, impacting the behaviour of nocturnal organisms. Yet, we know little about the consequences of these behavioural responses for individual fitness and population viability. We investigated if females of the common glow-worm Lampyris noctiluca —which glow in the night to attract males—mitigate negative effects of artificial light on mate attraction by adjusting the timing and location of glowing to spatial variation in light conditions. We found females do not move away from light when exposed to a gradient of artificial light, but del

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20

Baudry, Gautier, Juhani Hopkins, Phillip C. Watts, and Arja Kaitala. "Female Sexual Signaling in a Capital Breeder, the European Glow-Worm Lampyris noctiluca." Journal of Insect Behavior 34, no. 1-2 (2021): 16–25. http://dx.doi.org/10.1007/s10905-020-09763-9.

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AbstractTheory predicts that because costs constrain female sexual signaling, females are expected to have a low signaling effort that is increased with passing time until mating is secured. This pattern of signaling is expected to result from females balancing the costs associated with a higher than optimal signaling effort and those costs associated with a low signaling effort that increase the likelihood of delayed mating. We tested whether this prediction applies in the common glow-worm Lampyris noctiluca (Coleoptera, Lampyridae), a capital breeding species in which females glow at night t

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21

Majka, Christopher, and J. MacIvor. "The European lesser glow worm, Phosphaenus hemipterus (Goeze), in North America (Coleoptera, Lampyridae)." ZooKeys 29 (December 11, 2009): 35–47. http://dx.doi.org/10.3897/zookeys.29.279.

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22

TYLER, JOHN, WILLIAM MCKINNON, GWYN A. LORD, and PHILIP J. HILTON. "A defensive steroidal pyrone in the Glow-worm Lampyris noctiluca L. (Coleoptera: Lampyridae)." Physiological Entomology 33, no. 2 (2008): 167–70. http://dx.doi.org/10.1111/j.1365-3032.2007.00610.x.

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23

Sheetal, Annabathula Phani, and Kongara Ravindranath. "High Efficient Virtual Machine Migration Using Glow Worm Swarm Optimization Method for Cloud Computing." Ingénierie des systèmes d information 26, no. 6 (2021): 591–97. http://dx.doi.org/10.18280/isi.260610.

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In this paper, high efficient Virtual Machine (VM) migration using GSO algorithm for cloud computing is proposed. This algorithm contains 3 phases: (i) VM selection, (ii) optimum number of VMs selection, (iii) VM placement. In VM selection phase, VMs to be migrated are selected based on their resource utilization and fault probability. In phase-2, optimum number of VMs to be migrated are determined based on the total power consumption. In VM placement phase, Glowworm Swarm Optimization (GSO) is used for finding the target VMs to place the migrated VMs. The fitness function is derived in terms

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24

Kumar, Beledha Santhosh, and Polipalli Trinatha Rao. "Cell zooming-based fault identification and optimal routing using glow worm-satin bowerbird optimisation." International Journal of Ultra Wideband Communications and Systems 5, no. 1 (2022): 47. http://dx.doi.org/10.1504/ijuwbcs.2022.121853.

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Kumar, Beledha Santhosh, and Polipalli Trinatha Rao. "Cell zooming-based fault identification and optimal routing using glow worm-satin bowerbird optimisation." International Journal of Ultra Wideband Communications and Systems 5, no. 1 (2022): 47. http://dx.doi.org/10.1504/ijuwbcs.2022.10045971.

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26

Shrichandran, G. V., S. Sathiyamoorthy, and P. D. Sheba Kezia Malarchelvi. "A Hybrid Glow-Worm Swarm Optimization with Bat Algorithm Based Retinal Blood Vessel Segmentation." Journal of Computational and Theoretical Nanoscience 14, no. 6 (2017): 2601–11. http://dx.doi.org/10.1166/jctn.2017.6547.

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27

Goel, Utkarsh, Shubham Varshney, Anshul Jain, Saumil Maheshwari, and Anupam Shukla. "Three Dimensional Path Planning for UAVs in Dynamic Environment using Glow-worm Swarm Optimization." Procedia Computer Science 133 (2018): 230–39. http://dx.doi.org/10.1016/j.procs.2018.07.028.

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28

Merritt, David J., and Rachell Patterson. "Environmental influences on the bioluminescence display of the glow-worm, Arachnocampa flava (Diptera: Keroplatidae)." Austral Entomology 57, no. 1 (2017): 107–17. http://dx.doi.org/10.1111/aen.12274.

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29

Makadia, Jiten, and C. D. Sankhavara. "Optimization of Shell and Tube Heat Exchanger Using Alpha Tuning Elephant Herding Optimization (EHO) Technique." International Journal of Engineering Research in Africa 52 (January 2021): 92–101. http://dx.doi.org/10.4028/www.scientific.net/jera.52.92.

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Swarm Intelligence algorithms like PSO (Particle Swarm Optimization), ACO (Ant Colony Optimization), ABC (Artificial Bee Colony), Glow-worm swarm Optimization, etc. have been utilized by researchers for solving optimization problems. This work presents the application of a novel modified EHO (Elephant Herding Optimization) for cost optimization of shell and tube heat exchanger. A comparison of the results obtained by EHO in two benchmark problems shows that it is superior to those obtained with genetic algorithm and particle swarm optimization. The overall cost reduction is 13.3 % and 9.68% fo

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30

De Cock, R. "Glow-worm larvae bioluminescence (Coleoptera: Lampyridae) operates as an aposematic signal upon toads (Bufo bufo)." Behavioral Ecology 14, no. 1 (2003): 103–8. http://dx.doi.org/10.1093/beheco/14.1.103.

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31

Gardiner, Tim, and Raphael K. Didham. "Glowing, glowing, gone? Monitoring long‐term trends in glow‐worm numbers in south‐east England." Insect Conservation and Diversity 13, no. 2 (2020): 162–74. http://dx.doi.org/10.1111/icad.12407.

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32

Trowell, Stephen C., Helen Dacres, Mira M. Dumancic, Virginia Leitch, and Rodney W. Rickards. "Molecular basis for the blue bioluminescence of the Australian glow-worm Arachnocampa richardsae (Diptera: Keroplatidae)." Biochemical and Biophysical Research Communications 478, no. 2 (2016): 533–39. http://dx.doi.org/10.1016/j.bbrc.2016.07.081.

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33

Lemelin, Raynald Harvey, Elizabeth Y. S. Boileau, and Constance Russell. "Entomotourism: The Allure of the Arthropod." Society & Animals 27, no. 7 (2019): 733–50. http://dx.doi.org/10.1163/15685306-00001830.

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AbstractWildlife tourism is often associated with charismatic megafauna in the public imagination (e.g., safaris, whale watching, bear viewing). Entomotourism (insect-focused tourism) typically is not on the radar, but each year thousands of peoples visit monarch butterfly congregations and glow worm caves, and participate in guided firefly outings. Elsewhere, millions of peoples visit butterfly pavilions, insectariums, and bee museums. Calculations of visitation numbers aside, researchers in tourism studies have largely ignored the appeal of these animals, relegating these types of activities

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34

Merritt, David J., and Arthur K. Clarke. "The impact of cave lighting on the bioluminescent display of the Tasmanian glow-worm Arachnocampa tasmaniensis." Journal of Insect Conservation 17, no. 1 (2012): 147–53. http://dx.doi.org/10.1007/s10841-012-9493-0.

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35

Dillon, Maureen. "‘Like a Glow-worm who had lost its Glow’: The Invention of the Incandescent Electric Lamp and the Development of Artificial Silk and Electric Jewellery." Costume 35, no. 1 (2001): 76–81. http://dx.doi.org/10.1179/cos.2001.35.1.76.

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36

C., Puttamadappa, and Parameshachari B.D. "Demand side management of small scale loads in a smart grid using glow-worm swarm optimization technique." Microprocessors and Microsystems 71 (November 2019): 102886. http://dx.doi.org/10.1016/j.micpro.2019.102886.

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37

SALA-NEWBY, Graciela B., Catherine M. THOMSON, and Anthony K. CAMPBELL. "Sequence and biochemical similarities between the luciferases of the glow-worm Lampyris noctiluca and the firefly Photinus pyralis." Biochemical Journal 313, no. 3 (1996): 761–67. http://dx.doi.org/10.1042/bj3130761.

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A full-length clone encoding Lampyris noctiluca (British glow-worm) luciferase was isolated from a complementary DNA (cDNA) expression library constructed with mRNA extracted from light organs. The luciferase was a 547-residue protein, as deduced from the nucleotide sequence. The protein was closely related to those of other lampyrid beetles, the similarity to Photinus pyralis luciferase being 84% and to Luciola 67%. In contrast, Lampyris luciferase had less sequence similarity to the luciferases of the click beetle Pyrophorus, at 48%. Engineering Lampyris luciferase in vitro showed that the C

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38

Booth, D. "Colour vision in the glow-worm Lampyris noctiluca (L.) (Coleoptera: Lampyridae): evidence for a green-blue chromatic mechanism." Journal of Experimental Biology 207, no. 14 (2004): 2373–78. http://dx.doi.org/10.1242/jeb.01044.

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39

Said Alipour, Bagher, Saman Hosseinkhani, Maryam Nikkhah, Hossein Naderi-Manesh, Mohammad Javad Chaichi, and Shahrokh Kazempour Osaloo. "Molecular cloning, sequence analysis, and expression of a cDNA encoding the luciferase from the glow-worm, Lampyris turkestanicus." Biochemical and Biophysical Research Communications 325, no. 1 (2004): 215–22. http://dx.doi.org/10.1016/j.bbrc.2004.10.022.

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40

Carrasco-López, César, Juliana C. Ferreira, Nathan M. Lui, et al. "Beetle luciferases with naturally red- and blue-shifted emission." Life Science Alliance 1, no. 4 (2018): e201800072. http://dx.doi.org/10.26508/lsa.201800072.

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The different colors of light emitted by bioluminescent beetles that use an identical substrate and chemiexcitation reaction sequence to generate light remain a challenging and controversial mechanistic conundrum. The crystal structures of two beetle luciferases with red- and blue-shifted light relative to the green yellow light of the common firefly species provide direct insight into the molecular origin of the bioluminescence color. The structure of a blue-shifted green-emitting luciferase from the firefly Amydetes vivianii is monomeric with a structural fold similar to the previously repor

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41

Van den Broeck, Mira, Raphaël De Cock, Stefan Van Dongen, and Erik Matthysen. "White LED light intensity, but not colour temperature, interferes with mate‐finding by glow‐worm (Lampyris noctiluca L.) males." Journal of Insect Conservation 25, no. 2 (2021): 339–47. http://dx.doi.org/10.1007/s10841-021-00304-z.

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42

Walls, Kathryn. "To ‘Impale a Glow-Worm’: A Source for Dunciad IV. 570–71 in the Transactions of the Royal Society." Notes and Queries 64, no. 3 (2017): 480–81. http://dx.doi.org/10.1093/notesj/gjx099.

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43

KUNDRATA, ROBIN, and LADISLAV BOCAK. "Redescription and relationships of Pseudothilmanus Pic (Coleoptera: Rhagophthalmidae)—a long-term neglected glow-worm beetle genus from the Himalayas." Zootaxa 2794, no. 1 (2011): 57. http://dx.doi.org/10.11646/zootaxa.2794.1.4.

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Pseudothilmanus Pic, 1918 is redescribed and two species, P. alatus Pic, 1918 and P. marginatus Pic, 1918, are placed in the genus. The subgenus Drilothilmanus Pic, 1918 is synonymized with the nominotypical genus on the basis of low morphological divergence and redundancy in classification. Pseudothilmanus is newly classified in the family Rhagophthalmidae, in contrast to the original placement in Drilidae. Diagnostic characters for Pseudothilmanus and both species placed within the genus are illustrated.

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44

Haddon, Kathleen. "6. On the Methods of Feeding and the Mouth-parts of the Larva of the Glow-worm (Lampyris noctiluca)." Proceedings of the Zoological Society of London 85, no. 1 (2010): 77–82. http://dx.doi.org/10.1111/j.1469-7998.1915.00077.x.

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45

DAY, John C. "Characterisation of the luciferase gene and the 5' upstream region in the European glow-worm Lampyris noctiluca (Coleoptera: Lampyridae)." European Journal of Entomology 102, no. 4 (2005): 787–91. http://dx.doi.org/10.14411/eje.2005.107.

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46

T.T Tran, Quynh, Maria Luisa Di Silvestre, Eleonora Riva Sanseverino, Gaetano Zizzo, and Thanh Pham. "Driven Primary Regulation for Minimum Power Losses Operation in Islanded Microgrids." Energies 11, no. 11 (2018): 2890. http://dx.doi.org/10.3390/en11112890.

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The paper proposes an improved primary regulation method for inverter-interfaced generating units in islanded microgrids. The considered approach employs an off-line minimum losses optimal power flow (OPF) to devise the primary frequency regulation curve’s set-points while satisfying the power balance, frequency and current constraints. In this way, generators will reach an optimized operating point corresponding to a given and unique power flow distribution presenting the minimum power losses. The proposed approach can be particularly interesting for diesel-based islanded microgrids that face

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47

Ramaiah, Sridhar, and Guruprasad Nagraj. "Deep Neural Glow Worm Swarm Optimized Soft C-Means Clustering for Energy Aware Route Discovery and Data Gathering in WSN." International Journal of Intelligent Engineering and Systems 14, no. 1 (2021): 72–81. http://dx.doi.org/10.22266/ijies2021.0228.08.

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Cluster head selection enacts a prominent role in Wireless Sensor Network to optimize the energy usage during the data collection. Few research works have been designed to choose the best cluster head in wireless network using different optimization techniques. However, cluster head selection performance of conventional algorithms was lower to extend the lifetime of network. Therefore, a Deep Neural Glowworm Swarm Optimized Soft C-Means Clustering (DNGSOSCC) model is proposed. Initially, DNGSOSCC model obtains number of sensor nodes as input at the input layer. After taking input, soft cluster

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48

Maas, U., E. Sehn, J. R. Harris, and A. Dorn. "Ergastoplasmic paracrystalline inclusion bodies in the adipose gonadal envelope and fat body of the glow worm, Lampyris noctiluca (Insecta, Coleoptera)." Micron 32, no. 2 (2001): 129–40. http://dx.doi.org/10.1016/s0968-4328(00)00002-0.

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49

Vinodhini, R., and C. Gomathy. "Fuzzy Based Unequal Clustering and Context-Aware Routing Based on Glow-Worm Swarm Optimization in Wireless Sensor Networks: Forest Fire Detection." Wireless Personal Communications 118, no. 4 (2021): 3501–22. http://dx.doi.org/10.1007/s11277-021-08191-y.

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50

Driessen, Michael M. "Enhancing conservation of the Tasmanian glow-worm, Arachnocampa tasmaniensis Ferguson (Diptera: Keroplatidae) by monitoring seasonal changes in light displays and life stages." Journal of Insect Conservation 14, no. 1 (2009): 65–75. http://dx.doi.org/10.1007/s10841-009-9225-2.

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