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Journal articles on the topic 'Leaping'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Hall, Dorothy Judd. "Leaping." Lonergan Workshop 18 (2005): 6–7. http://dx.doi.org/10.5840/lw2005182.

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2

Pearson, Heidi C. "Unravelling the function of dolphin leaps using the dusky dolphin (Lagenorhynchus obscurus) as a model species." Behaviour 154, no. 5 (2017): 563–81. http://dx.doi.org/10.1163/1568539x-00003434.

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The prevalence of leaping across delphinids indicates it has an adaptive benefit. I examined leaping behaviour in dusky dolphins (Lagenorhynchus obscurus) according to signalling, social facilitation, and prey capture hypotheses. I quantified the effect of leaping on group behaviour and fission-fusion and the behavioural context of leaping. I observed dolphins in Admiralty Bay, New Zealand during 171 focal follows totalling 157 h. Data were analysed using generalized estimating equations. Clean leaping had a positive effect on party fission () and foraging behaviour (). Coordinated leaping cau

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3

Spitzer, Rich, and R. Monastersky. "Leaping Gizzards." Science News 154, no. 9 (1998): 131. http://dx.doi.org/10.2307/4010801.

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Reed, Malissa Ann. "Leaping together." Psychological Perspectives 47, no. 2 (2004): 281–84. http://dx.doi.org/10.1080/00332920408414631.

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5

Zirakzadeh, Cyrus Ernesto. "Leaping Ahead." Polity 47, no. 3 (2015): 273–78. http://dx.doi.org/10.1057/pol.2015.16.

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6

Goymer, Patrick. "Leaping lizards." Nature 513, no. 7519 (2014): 492. http://dx.doi.org/10.1038/513492a.

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7

Ezzell, Carol. "Leaping Leptin." Scientific American 279, no. 6 (1998): 28–30. http://dx.doi.org/10.1038/scientificamerican1298-28.

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8

Gillespie, R. G. "Leaping Lizards." Science 327, no. 5961 (2009): 33–34. http://dx.doi.org/10.1126/science.1182503.

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9

Gillis, G. B. "LEAPING LIZARDS." Journal of Experimental Biology 207, no. 23 (2004): v. http://dx.doi.org/10.1242/jeb.01302.

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10

Versluis, Michel, Cor Blom, Devaraj van der Meer, Ko van der Weele, and Detlef Lohse. "Leaping shampoo." Physics of Fluids 19, no. 9 (2007): 091106. http://dx.doi.org/10.1063/1.2775411.

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11

Shute, Malcolm. "Leaping sounds." New Scientist 208, no. 2784 (2010): 30. http://dx.doi.org/10.1016/s0262-4079(10)62691-7.

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12

Goedde, Chris. "Leaping shadows." Physics Teacher 49, no. 5 (2011): 318. http://dx.doi.org/10.1119/1.3578438.

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13

Jȩdrzejewski-Szmek, Zbigniew, та Kim T. Blackwell. "Asynchronousτ-leaping". Journal of Chemical Physics 144, № 12 (2016): 125104. http://dx.doi.org/10.1063/1.4944575.

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14

Yang, Huai De, and Yong Li. "An Intrusion Detection Method Based on Shuffle Frog Leaping Algorithm." Advanced Materials Research 1030-1032 (September 2014): 1646–49. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1646.

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This paper presents an intrusion detection model based on shuffled frog leaping algorithm, the model search speed, high accuracy based on shuffled frog leaping algorithm, using the shuffled frog leaping algorithm generates a set of classification rules from the KDD99 data network audit data collection, quality and the use of objective function shuffled frog leaping algorithm to control the production rule, and then application of the rule of dynamically generated to rule based intrusion detection system, achieve the purpose of detection. The experimental results show that, this method of detec

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15

Lipková, Jana, Georgios Arampatzis, Philippe Chatelain, Bjoern Menze та Petros Koumoutsakos. "S-Leaping: An Adaptive, Accelerated Stochastic Simulation Algorithm, Bridging $$\tau $$ τ -Leaping and R-Leaping". Bulletin of Mathematical Biology 81, № 8 (2018): 3074–96. http://dx.doi.org/10.1007/s11538-018-0464-9.

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16

Berles, Patricia, Eckhard W. Heymann, Felix Golcher, and John A. Nyakatura. "Leaping and differential habitat use in sympatric tamarins in Amazonian Peru." Journal of Mammalogy 103, no. 1 (2021): 146–58. http://dx.doi.org/10.1093/jmammal/gyab121.

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Abstract Differential habitat use in sympatric species can provide insight into how behavior relates to morphological differences and as a general model for the study of biological adaptations to different functional demands. In Amazonia, closely related sympatric tamarins of the genera Saguinus and Leontocebus regularly form stable mixed-species groups, but exhibit differences in foraging height and locomotor activity. To test the hypothesis that two closely related species in a mixed-species group prefer different modes of leaping regardless of the substrates available, we quantified leaping

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17

Lenin, K. "REDUCTION OF ACTIVE POWER LOSS BY IMPROVED FROG LEAPING ALGORITHM." International Journal of Research -GRANTHAALAYAH 5, no. 9 (2017): 44–51. http://dx.doi.org/10.29121/granthaalayah.v5.i9.2017.2197.

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This paper presents Improved Frog Leaping (IFL) algorithm for solving optimal reactive power problem. Comprehensive exploration capability of Particle Swarm Optimization (PSO) and good local search ability of Frog Leaping Algorithm (FLA) has been hybridized to solve the reactive power problem and it overcomes the shortcomings of premature convergence. In order to evaluate the validity of the proposed Improved Frog Leaping (IFL) algorithm, it has been tested in Standard IEEE 57,118 bus systems and compared to other standard algorithms. Simulation results show that proposed Improved Frog Leaping

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18

Dr.K.Lenin. "REDUCTION OF ACTIVE POWER LOSS BY IMPROVED FROG LEAPING ALGORITHM." International Journal of Research - Granthaalayah 5, no. 9 (2017): 44–51. https://doi.org/10.5281/zenodo.999199.

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This paper presents Improved Frog Leaping (IFL) algorithm for solving optimal reactive power problem. Comprehensive exploration capability of Particle Swarm Optimization (PSO) and good local search ability of Frog Leaping Algorithm (FLA) has been hybridized to solve the reactive power problem and it overcomes the shortcomings of premature convergence. In order to evaluate the validity of the proposed Improved Frog Leaping (IFL) algorithm, it has been tested in Standard IEEE 57,118 bus systems and compared to other standard algorithms. Simulation results show that proposed Improved Frog Leaping

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19

Ling, Jeeng Min, and Anh Son Khuong. "Modified Shuffled Frog-Leaping Algorithm on Optimal Planning for a Stand-Alone Photovoltaic System." Applied Mechanics and Materials 145 (December 2011): 574–78. http://dx.doi.org/10.4028/www.scientific.net/amm.145.574.

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Shuffled frog leaping algorithm (SFLA) is a new meta-heuristic evolutionary algorithm with simple algorithm and effective calculation speed. It performs stochastic searching process that mimics natural biological evolution and the social behavior of species. SFLA conducts its formulation from two main methods, the local searching validated by particle swarm optimization and the competitiveness mixing of information implemented by shuffled complex algorithm. A modified shuffled frog leaping algorithm (MSFLA) is investigated that improves the leaping rule by properly extending the leaping step s

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20

Chlond, Martin J., Robert C. Daniel, and Susanne Heipcke. "Fiveleapers a-leaping." INFORMS Transactions on Education 4, no. 1 (2003): 78–82. http://dx.doi.org/10.1287/ited.4.1.78.

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21

McCartney, Margaret. "Leaping to conclusions." BMJ 336, no. 7655 (2008): 1213–14. http://dx.doi.org/10.1136/bmj.39589.396840.94.

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22

Komatsu, Takao. "Leaping Cauchy numbers." Filomat 32, no. 18 (2018): 6167–76. http://dx.doi.org/10.2298/fil1818167k.

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We introduce leaping Cauchy numbers, that are generalizations of the analogous numbers to Euler numbers, as Cauchy numbers corresponds to Bernoulli numbers, in particular, in terms of determinant expressions. We also give several properties including sums of products.

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23

Bradford, M. "Leaping the barrier." Manufacturing Engineer 76, no. 6 (1997): 278–79. http://dx.doi.org/10.1049/me:19970611.

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24

Dixon, Bernard. "Leaping to extinction?" Lancet Infectious Diseases 5, no. 12 (2005): 738. http://dx.doi.org/10.1016/s1473-3099(05)70278-4.

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25

Caro, Tim. "Leaping in impala." African Journal of Ecology 46, no. 1 (2008): 105–6. http://dx.doi.org/10.1111/j.1365-2028.2007.00773.x.

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26

Ahuja, Kripa, and Grace DeSena. "Leaping over Leprosy." SKIN The Journal of Cutaneous Medicine 8, no. 2 (2024): 1473–74. http://dx.doi.org/10.25251/skin.8.2.24.

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27

Usher, Craigan. "Leaping Over Walls." Journal of the American Academy of Child & Adolescent Psychiatry 58, no. 3 (2019): 378. http://dx.doi.org/10.1016/j.jaac.2019.01.002.

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28

Wang, Yongxian, Junxia Ma, and Yanrong Zhang. "Application of Improved Frog Leaping Algorithm in Multi objective Optimization of Engineering Project Management." Decision Making: Applications in Management and Engineering 7, no. 1 (2023): 364–79. http://dx.doi.org/10.31181/dmame712024896.

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The development of information has promoted the development of various industries, and the development of industries will inevitably lead to intensified competition, including the construction industry. To enhance the competitiveness of construction enterprises in the industry, a multi-objective optimization model for construction project management has been proposed. At the same time, carbon emission was included as one of the optimization objectives in the experiment. This can also align the construction industry with the concept of modern green development. A non-dominated sorting genetic a

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29

Dalavi, Amol M., Padmakar J. Pawar, and Tejinder Paul Singh. "Tool path planning of hole-making operations in ejector plate of injection mould using modified shuffled frog leaping algorithm." Journal of Computational Design and Engineering 3, no. 3 (2016): 266–73. http://dx.doi.org/10.1016/j.jcde.2016.04.001.

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Abstract Optimization of hole-making operations in manufacturing industry plays a vital role. Tool travel and tool switch planning are the two major issues in hole-making operations. Many industrial applications such as moulds, dies, engine block, automotive parts etc. requires machining of large number of holes. Large number of machining operations like drilling, enlargement or tapping/reaming are required to achieve the final size of individual hole, which gives rise to number of possible sequences to complete hole-making operations on the part depending upon the location of hole and tool se

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30

Kanagasabai, Lenin. "REDUCTION OF REAL POWER LOSS BY IMPROVED SHUFFLED FROG-LEAPING ALGORITHM." International Journal of Research -GRANTHAALAYAH 6, no. 10 (2018): 146–57. http://dx.doi.org/10.29121/granthaalayah.v6.i10.2018.1172.

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This paper presents Improved Shuffled Frog-Leaping (ISFL) algorithm for solving optimal reactive power problem. A new search-acceleration parameter has been introduced into the formulation of the original shuffled frog leaping (SFL) algorithm to create an adapted form of the shuffled frog algorithm for solving the reactive power problem. The shuffled frog-leaping algorithm draws its formulation from two other search techniques: the local search of the ‘particle swarm optimization’ technique; and the competitiveness mixing of information of the ‘shuffled complex evolution’ technique. Proposed I

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31

Mei, Huan, Yiquan Qi, Bo Qiu, Xuhua Cheng, and Xiangbai Wu. "Influence of an Island on Hysteresis of a Western Boundary Current Flowing across a Gap." Journal of Physical Oceanography 49, no. 5 (2019): 1353–66. http://dx.doi.org/10.1175/jpo-d-18-0116.1.

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Abstract We investigate impact of an island on hysteresis of a western boundary current (WBC) flowing across a gap using a nonlinear 1.5-layer ocean model. The results of hysteresis curves show the island in the middle of the gap facilitates the WBC intrusion. The inserted (removed) island in the middle of the gap promotes the WBC to shed eddy (leap across the gap) when the WBC path transits from the periodic penetrating (leaping) to the leaping (periodic penetrating) regime without (with) an island. Vorticity balance analysis reveals that the WBC transition from the eddy-shedding (leaping) to

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32

Lenin, Kanagasabai. "Factual Power Loss Diminution by Enhanced Frog Leaping Algorithm." Journal of Applied Science, Engineering, Technology, and Education 3, no. 2 (2020): 114–18. http://dx.doi.org/10.35877/454ri.asci112.

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This paper proposes Enhanced Frog Leaping Algorithm (EFLA) to solve the optimal reactive power problem. Frog leaping algorithm (FLA) replicates the procedure of frogs passing though the wetland and foraging deeds. Set of virtual frogs alienated into numerous groups known as “memeplexes”. Frog’s position’s turn out to be closer in every memeplex after few optimization runs and certainly, this crisis direct to premature convergence. In the proposed Enhanced Frog Leaping Algorithm (EFLA) the most excellent frog information is used to augment the local search in each memeplex and initiate to the e

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33

Dr., Lenin Kanagasabai. "REDUCTION OF REAL POWER LOSS BY IMPROVED SHUFFLED FROG-LEAPING ALGORITHM." International Journal of Research - Granthaalayah 6, no. 10 (2018): 146–57. https://doi.org/10.5281/zenodo.1476667.

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This paper presents Improved Shuffled Frog-Leaping (ISFL) algorithm for solving optimal reactive power problem. A new search-acceleration parameter has been introduced into the formulation of the original shuffled frog leaping (SFL) algorithm to create an adapted form of the shuffled frog algorithm for solving the reactive power problem. The shuffled frog-leaping algorithm draws its formulation from two other search techniques: the local search of the ‘particle swarm optimization’ technique; and the competitiveness mixing of information of the ‘shuffled complex evolution&rsqu

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34

Iyengar, Krishna A., Leonard A. Harris, and Paulette Clancy. "Accurate implementation of leaping in space: The spatial partitioned-leaping algorithm." Journal of Chemical Physics 132, no. 9 (2010): 094101. http://dx.doi.org/10.1063/1.3310808.

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35

Liu, Liqun, Renyuan Gu, Jiuyuan Huo, and Yubo Zhou. "Origin-Oriented Shuffled Frog Leaping Vehicle Routing Multiobjective Optimization Algorithm." Journal of Database Management 34, no. 3 (2023): 1–24. http://dx.doi.org/10.4018/jdm.321549.

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Shuffled frog leaping algorithm is a biological swarm intelligent optimization algorithm and improved into capacity-limited vehicle routing problem. However, the optimization performance is limited with improvement strategies in major of the improvement algorithm. A novel framework of algorithm is proposed to solve capacity-limited vehicle routing problem, including three modules such as origin oriented shuffled frog leaping algorithm strategy, origin oriented shuffled frog leaping vehicle routing multiobjective optimization algorithm strategy, and output module. The frog individuals gather ne

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36

Feng, Shuo, and Jinqing Jia. "Acceleration sensor placement technique for vibration test in structural health monitoring using microhabitat frog-leaping algorithm." Structural Health Monitoring 17, no. 2 (2017): 169–84. http://dx.doi.org/10.1177/1475921716688372.

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In this article, a microhabitat frog-leaping algorithm is proposed based on original shuffled frog-leaping algorithm and effective independence method to make the algorithm more efficient to optimize the 3-axis acceleration sensor configuration in the vibration test of structural health monitoring. Optimal sensor placement is a vital component of vibration test in structural health monitoring technique. Acceleration sensors should be placed such that all of the important information is collected. The resulting sensor configuration should be optimal such that the testing resources are saved. In

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37

Zhu, Kai Feng, Xue Wang, and Gui Hua Cai. "Research of Distribution Network Reconfiguration Based on SFLGA." Advanced Materials Research 960-961 (June 2014): 1058–61. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.1058.

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The article studies on the application of the shuffled frog leaping algorithm (SFLA) in power distribution network reconfiguration, taking the minimum loss and voltage quality of distribution network as a multi-objective function. The article improves the initial solution generation strategy of traditional genetic algorithm, which ensures the initial solution is feasible solution. Shuffled frog leaping algorithm and genetic algorithms are combined and proposed as shuffled frog leaping genetic algorithm (SFLGA). The algorithm uses the efficient coding strategy based on the basic loop and initia

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38

Perlmutter, Joel S. "Aducanumab: look before leaping." Nature Medicine 27, no. 9 (2021): 1499. http://dx.doi.org/10.1038/s41591-021-01477-5.

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39

Nahavandi, Afsaneh, and Lyn Corbett. "Leaping into public leadership." International Journal of Public Leadership 14, no. 4 (2018): 218–31. http://dx.doi.org/10.1108/ijpl-06-2018-0027.

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Purpose The purpose of this paper is to explore the reasons for and consequences of leaders moving from other sectors to the public arena and provide guidelines for successful transitions to the public sector. Design/methodology/approach The paper relies on a conceptual analysis of leadership theory, critical reasoning and several examples to explore the phenomenon the authors call Leadership Leap (LL). Findings The paper explores the context, antecedents, causes and consequences of LL. The leaders’ self-confidence, ego and hubris are often considered to be the reason for leaping to an unfamil

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40

Cohen, Jack. "Leaping larvae, jumping genes." Nature 361, no. 6412 (1993): 510. http://dx.doi.org/10.1038/361510a0.

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41

Rose, Melvyn. "Leaping in the Dark." Residential Treatment For Children & Youth 11, no. 4 (1994): 67–79. http://dx.doi.org/10.1300/j007v11n04_06.

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42

Knight, K. "LEAPING TAILLESS LIZARDS TOPPLE." Journal of Experimental Biology 212, no. 5 (2009): i. http://dx.doi.org/10.1242/jeb.029710.

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43

Dewdney, A. K. "Leaping into Lyapunov Space." Scientific American 265, no. 3 (1991): 178–80. http://dx.doi.org/10.1038/scientificamerican0991-178.

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44

Aitken, Johan Lyall. "Leaping Boundaries of Difference." Curriculum Inquiry 29, no. 2 (1999): 149–57. http://dx.doi.org/10.1111/0362-6784.00119.

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45

Robinson, C. M., and J. K. Pfeiffer. "Leaping the norovirus hurdle." Science 346, no. 6210 (2014): 700–701. http://dx.doi.org/10.1126/science.aaa0607.

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46

Alexander, R. McNeill. "Leaping lizards and dinosaurs." Nature 481, no. 7380 (2012): 148–49. http://dx.doi.org/10.1038/nature10797.

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47

Charles, D. "Leaping the Efficiency Gap." Science 325, no. 5942 (2009): 804–11. http://dx.doi.org/10.1126/science.325_804.

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48

AINSWORTH, SUSAN J. "LEAPING TO NEW OPPORTUNITIES." Chemical & Engineering News 88, no. 39 (2010): 75–78. http://dx.doi.org/10.1021/cen-v088n039.p075.

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49

Xiang, Hao, Jason Han, William E. Ridley, and Lloyd J. Ridley. "Leaping dolphin sign: Pneumoperitoneum." Journal of Medical Imaging and Radiation Oncology 62 (October 2018): 87. http://dx.doi.org/10.1111/1754-9485.34_12784.

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50

McKenney, Sarah E., and Mark P. Supanich. "“Leaping” Toward the Bottom." Journal of the American College of Radiology 16, no. 8 (2019): 1119–20. http://dx.doi.org/10.1016/j.jacr.2019.02.006.

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