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Journal articles on the topic 'Range edge'

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Author: Grafiati

Published: 10 December 2022

Last updated: 10 March 2023

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1

Meiri, Shai, Tamar Dayan, Daniel Simberloff, and Richard Grenyer. "Life on the edge: carnivore body size variation is all over the place." Proceedings of the Royal Society B: Biological Sciences 276, no. 1661 (February 25, 2009): 1469–76. http://dx.doi.org/10.1098/rspb.2008.1318.

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Evolutionary biologists have long been fascinated by both the ways in which species respond to ecological conditions at the edges of their geographic ranges and the way that species' body sizes evolve across their ranges. Surprisingly, though, the relationship between these two phenomena is rarely studied. Here, we examine whether carnivore body size changes from the interior of their geographic range towards the range edges. We find that within species, body size often varies strongly with distance from the range edge. However, there is no general tendency across species for size to be either larger or smaller towards the edge. There is some evidence that the smallest guild members increase in size towards their range edges, but results for the largest guild members are equivocal. Whether individuals vary in relation to the distance from the range edges often depends on the way edge and interior are defined. Neither geographic range size nor absolute body size influences the tendency of size to vary with distance from the range edge. Therefore, we suggest that the frequent significant association between body size and the position of individuals along the edge-core continuum reflects the prevalence of geographic size variation and that the distance to range edge per se does not influence size evolution in a consistent way.

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2

Aguirre Varela, G. G., M. A. Ré, and N. M. López. "EDGE DETECTION IN CONTINUOUS-RANGE." Anales AFA 29, no. 3 (October 16, 2018): 69–72. http://dx.doi.org/10.31527/analesafa.2018.29.3.69.

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3

Caughley, G., D. Grice, R. Barker, and B. Brown. "The Edge of the Range." Journal of Animal Ecology 57, no. 3 (October 1988): 771. http://dx.doi.org/10.2307/5092.

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4

Oróstica, MH, SJ Hawkins, BR Broitman, and SR Jenkins. "Performance of a warm-water limpet species towards its poleward range edge compared to a colder-water congener." Marine Ecology Progress Series 656 (December 10, 2020): 207–25. http://dx.doi.org/10.3354/meps13461.

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The demography and individual performance of species at their range edges provide important insight into how climate warming is impacting species distributions. The boreal limpet Patella vulgata and the Lusitanian limpet P. depressa have overlapping geographic ranges and local distributions in Britain. We measured individual performance at the 2 leading edges of P. depressa distribution (North Wales and South/South-east England) and in non-range edge populations in South-west England. Individuals of P. depressa towards both leading edges were expected to have reduced growth rates and higher mortality rates when compared with non-range edge populations. Conversely, P. vulgata was expected to have equivalent performance across regions, coinciding with the centre of its range. Tagged individuals did not show between-species differences in growth and mortality over a 12 mo period. Nonetheless, individual growth rates and population mortality rates of both Patella species were higher towards the range edge of P. depressa in South/South-east England, when compared with populations at its poleward edge and those in South-west England. Further analysis showed that growth and mortality rates were higher in denser populations for both P. depressa and P. vulgata, with equivalent site-specific performance patterns for both species in all regions. Thus, performance patterns of P. depressa reflected local factors in the same way as P. vulgata, overriding patterns of declining performance expected towards species borders. Comparisons between key congeneric species and their unexpected patterns of performance across their ranges provide insights into processes setting species boundaries and thereby their responses to climate change.

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5

Lee, Kil‐Moo. "Edge‐based segmentation of range images: integrating roof and step edges." Optical Engineering 35, no. 6 (June 1, 1996): 1730. http://dx.doi.org/10.1117/1.600748.

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6

Burnside, W., M. Gilreath, B. Kent, and G. Clerici. "Curved edge modification of compact range reflector." IEEE Transactions on Antennas and Propagation 35, no. 2 (February 1987): 176–82. http://dx.doi.org/10.1109/tap.1987.1144063.

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7

Parini, C. G., and M. Philippakis. "Compact antenna test range reflector edge treatment." Electronics Letters 32, no. 2 (1996): 82. http://dx.doi.org/10.1049/el:19960074.

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8

Wani, M. A., and B. G. Batchelor. "Edge-region-based segmentation of range images." IEEE Transactions on Pattern Analysis and Machine Intelligence 16, no. 3 (March 1994): 314–19. http://dx.doi.org/10.1109/34.276131.

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9

Yin-Fai Wong. "Dynamic range compression by edge-preserving filtering." IEEE Signal Processing Letters 1, no. 11 (November 1994): 179–81. http://dx.doi.org/10.1109/97.335068.

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10

Hepworth, Richard. "On the edge of the stable range." Mathematische Annalen 377, no. 1-2 (February 5, 2020): 123–81. http://dx.doi.org/10.1007/s00208-020-01955-0.

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11

Nwanjika, CO, CU Onuegbu, and DO Amaefule. "EMPIRICAL STUDY OF THE CHARACTERISTICS OF AFZELIA AFRICANA SEED UNDER COMPRESSIVE LOADING." Nigerian Journal of Technology 36, no. 3 (June 30, 2017): 973–78. http://dx.doi.org/10.4314/njt.v36i3.42.

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Afzelia Africana seeds were subjected to quasi-static parallel plate compression test, using Monsanto Tensometer. The loading orientations were horizontal, vertical and edge-to-edge loading positions at four different moisture content levels of 10.6%, 12.8%, 15.2% and 18.4% wet basis (wb). Slight variations were observed in the means of the physical characteristics at varying moisture content in the range of 10.6% to 18.4%. Loading position was shown to have significant effect on all the mechanical properties studied. The rupture force increased with increase in moisture content in horizontal and vertical loading but did not show consistent trend in variation when loaded on the edges. This value was 155.68N for vertical loading, 139.27 N for horizontal loading and 81.0 N for edge-to-edge loading. Hardness ranged from 6.97 to 6.92 N/mm for horizontal loading, 6.92 to 6.67N/mm for edge-loading and 6.99 to 6.93N/mm for vertical loading respectively in the moisture content range of 10.6 to 18.4% for all cases. Rupture energy varied from 104 to 416.33 N-mm on horizontal loading, 59.96to 241.82 on edge-loading and 190.125 to 419.171 Nmm on vertical loading respectively for the same range of moisture content. Toughness varied from 43.758 to 8.865 N-m/mm, 23.563 to 5.370 and 44.667 to 16.349 N-m/mmÂ for horizontal loading, edge-edge orientation, and vertical loading respectively,Â for moisture content range of 10.6 to 18.4%.Modulusof Elasticity dropped from 35.657 to 28.133 N/mm2 for horizontal loading, from 51.443 to 14.59 for edge-to-edge loading and 38.087 to 41.04 N/mm2for vertical loading in the range of moisture content of 10.6 to 18.4% respectively. The data generated in this study can be applied when estimating the energy and force needed for shelling the seeds and in making useful suggestions on the loading condition that will demand the least energy for the operation and shelling. The physical properties are also useful in process design and analysis.Â Â http://dx.doi.org/10.4314/njt.v36i3.42

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12

Chen, Weiqi, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, and Xiaojie Feng. "Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 3529–36. http://dx.doi.org/10.1609/aaai.v34i04.5758.

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Traffic forecasting is of great importance to transportation management and public safety, and very challenging due to the complicated spatial-temporal dependency and essential uncertainty brought about by the road network and traffic conditions. Latest studies mainly focus on modeling the spatial dependency by utilizing graph convolutional networks (GCNs) throughout a fixed weighted graph. However, edges, i.e., the correlations between pair-wise nodes, are much more complicated and interact with each other. In this paper, we propose the Multi-Range Attentive Bicomponent GCN (MRA-BGCN), a novel deep learning model for traffic forecasting. We first build the node-wise graph according to the road network distance and the edge-wise graph according to various edge interaction patterns. Then, we implement the interactions of both nodes and edges using bicomponent graph convolution. The multi-range attention mechanism is introduced to aggregate information in different neighborhood ranges and automatically learn the importance of different ranges. Extensive experiments on two real-world road network traffic datasets, METR-LA and PEMS-BAY, show that our MRA-BGCN achieves the state-of-the-art results.

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13

Hiratoko, Tatsuya, Akira Yoshiasa, Tomotaka Nakatani, Maki Okube, Akihiko Nakatsuka, and Kazumasa Sugiyama. "Temperature dependence of pre-edge features in TiK-edge XANES spectra forATiO3(A= Ca and Sr),A2TiO4(A= Mg and Fe), TiO2rutile and TiO2anatase." Journal of Synchrotron Radiation 20, no. 4 (May 1, 2013): 641–43. http://dx.doi.org/10.1107/s0909049513009175.

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XANES (X-ray absorption near-edge structure) spectra of the TiK-edges ofATiO3(A= Ca and Sr),A2TiO4(A= Mg and Fe), TiO2rutile and TiO2anatase were measured in the temperature range 20–900 K. Ti atoms for all samples were located in TiO6octahedral sites. The absorption intensity invariant point (AIIP) was found to be between the pre-edge and post-edge. After the AIIP, amplitudes damped due to Debye–Waller factor effects with temperature. Amplitudes in the pre-edge region increased with temperature normally by thermal vibration. Use of the AIIP peak intensity as a standard point enables a quantitative comparison of the intensity of the pre-edge peaks in various titanium compounds over a wide temperature range.

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14

Teh-Hong Lee and W. D. Burnside. "Performance trade-off between serrated edge and blended rolled edge compact range reflectors." IEEE Transactions on Antennas and Propagation 44, no. 1 (1996): 87–96. http://dx.doi.org/10.1109/8.477532.

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15

Rehm, Evan M., Paulo Olivas, James Stroud, and Kenneth J. Feeley. "Losing your edge: climate change and the conservation value of range‐edge populations." Ecology and Evolution 5, no. 19 (September 14, 2015): 4315–26. http://dx.doi.org/10.1002/ece3.1645.

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16

Sheth, Seema Nayan, and Amy Lauren Angert. "Demographic compensation does not rescue populations at a trailing range edge." Proceedings of the National Academy of Sciences 115, no. 10 (February 20, 2018): 2413–18. http://dx.doi.org/10.1073/pnas.1715899115.

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Species’ geographic ranges and climatic niches are likely to be increasingly mismatched due to rapid climate change. If a species’ range and niche are out of equilibrium, then population performance should decrease from high-latitude “leading” range edges, where populations are expanding into recently ameliorated habitats, to low-latitude “trailing” range edges, where populations are contracting from newly unsuitable areas. Demographic compensation is a phenomenon whereby declines in some vital rates are offset by increases in others across time or space. In theory, demographic compensation could increase the range of environments over which populations can succeed and forestall range contraction at trailing edges. An outstanding question is whether range limits and range contractions reflect inadequate demographic compensation across environmental gradients, causing population declines at range edges. We collected demographic data from 32 populations of the scarlet monkeyflower (Erythranthe cardinalis) spanning 11° of latitude in western North America and used integral projection models to evaluate population dynamics and assess demographic compensation across the species’ range. During the 5-y study period, which included multiple years of severe drought and warming, population growth rates decreased from north to south, consistent with leading-trailing dynamics. Southern populations at the trailing range edge declined due to reduced survival, growth, and recruitment, despite compensatory increases in reproduction and faster life-history characteristics. These results suggest that demographic compensation may only delay population collapse without the return of more favorable conditions or the contribution of other buffering mechanisms such as evolutionary rescue.

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17

Buzica, Andrei, Lisa Debschütz, Florian Knoth, and Christian Breitsamter. "Leading-Edge Roughness Affecting Diamond-Wing Aerodynamic Characteristics." Aerospace 5, no. 3 (September 19, 2018): 98. http://dx.doi.org/10.3390/aerospace5030098.

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Diamond wing configurations for low signature vehicles have been studied in recent years. Yet, despite numerous research on highly swept, sharp edged wings, little research on aerodynamics of semi-slender wings with blunt leading-edges exists. This paper reports on the stall characteristics of the AVT-183 diamond wing configuration with variation of leading-edge roughness size and Reynolds number. Wind tunnel testing applying force and surface pressure measurements are conducted and the results presented and analysed. For the investigated Reynolds number range of 2.1 × 10 6 ≤ R e ≤ 2.7 × 10 6 there is no significant influence on the aerodynamic coefficients. However, leading-edge roughness height influences the vortex separation location. Trip dots produced the most downstream located vortex separation onset. Increasing the roughness size shifts the separation onset upstream. Prior to stall, global aerodynamic coefficients are little influenced by leading-edge roughness. In contrast, maximum lift and maximum angle of attack is reduced with increasing disturbance height. Surface pressure fluctuations show dominant broadband frequency peaks, distinctive for moderate sweep vortex breakdown. The experimental work presented here provides insights into the aerodynamic characteristics of diamond wings in a wide parameter space including a relevant angle of attack range up to post-stall.

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18

Wang, Ying, Daniel Ewert, Daniel Schilberg, and Sabina Jeschke. "A New Approach for 3D Edge Extraction by Fusing Point Clouds and Digital Images." Applied Mechanics and Materials 457-458 (October 2013): 1012–16. http://dx.doi.org/10.4028/www.scientific.net/amm.457-458.1012.

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Edges are crucial features for object segmentation and classification in both image and point cloud processing. Though many research efforts have been made in edge extraction and enhancement in both areas, their applications are limited respectively owing to their own technical properties. This paper presents a new approach to integrating the edge pixels in the 2D image into boundary data in the 3D point cloud by establishing the mapping relationship between these two types of data to represent the 3D edge features of the object. The 3D edge extraction based on the adoption of Microsoft Kinect as a 3D sensor - involves the following three steps: first, the generation of a range image from the point cloud of the object, second the edge extraction in the range image and edge extraction in the digital image, and finally edge data integration by referring to the correspondence map between point cloud data and image pixels.

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19

Geber, Monica A. "To the edge: studies of species’ range limits." New Phytologist 178, no. 2 (April 2008): 228–30. http://dx.doi.org/10.1111/j.1469-8137.2008.02414.x.

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20

Orme, C. David L., Sarah Mayor, Luiz dos Anjos, Pedro F. Develey, Jack H. Hatfield, José Carlos Morante-Filho, Jason M. Tylianakis, Alexandre Uezu, and Cristina Banks-Leite. "Distance to range edge determines sensitivity to deforestation." Nature Ecology & Evolution 3, no. 6 (May 6, 2019): 886–91. http://dx.doi.org/10.1038/s41559-019-0889-z.

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21

Mazouzi, Smaine, and Mohamed Batouche. "Range Image Segmentation Improvement by Fuzzy Edge Regularization." Information Technology Journal 7, no. 1 (December 15, 2007): 84–90. http://dx.doi.org/10.3923/itj.2008.84.90.

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22

Coleman, S. A., B. W. Scotney, and S. Suganthan. "Edge Detecting for Range Data Using Laplacian Operators." IEEE Transactions on Image Processing 19, no. 11 (November 2010): 2814–24. http://dx.doi.org/10.1109/tip.2010.2050733.

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23

Carreras, B. A., B. van Milligen, M. A. Pedrosa, R. Balbín, C. Hidalgo, D. E. Newman, E. Sánchez, et al. "Long-Range Time Correlations in Plasma Edge Turbulence." Physical Review Letters 80, no. 20 (May 18, 1998): 4438–41. http://dx.doi.org/10.1103/physrevlett.80.4438.

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24

Chubar, O. V., and N. V. Smolyakov. "VUV range edge radiation in electron storage rings." Journal of Optics 24, no. 3 (May 1993): 117–21. http://dx.doi.org/10.1088/0150-536x/24/3/004.

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25

Bronstein, J. L. "A mutualism at the edge of its range." Experientia 45, no. 7 (July 1989): 622–37. http://dx.doi.org/10.1007/bf01975679.

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26

Pratt, Allen, Lucia Zuin, Y. Mui Yiu, and Sarah Harmer. "High-resolution XANES S L3,2 edge spectra collected from a series of iron-bearing sphalerite(Zn,Fe)S minerals." Canadian Journal of Chemistry 85, no. 10 (October 1, 2007): 761–66. http://dx.doi.org/10.1139/v07-072.

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High-resolution S L3,2-edge XANES spectra have been collected from a series of high-quality sphalerite samples. Each of the sphalerite samples examined has a characteristic iron concentration, and the range is from <0.01 to 14.79 wt% Fe. The structures of the S L3,2-edges are investigated by comparing ab initio calculated spectra with experimentally measured S L3,2-edge spectra collected from synthetic ZnS sphalerite. The theoretical and experimental data provide evidence that S 2p electron transitions to empty S 3s and S 3d states can occur across an energy range above the absorption edge. A chemical shift, associated with iron to sulphur bonds, is identified, and for the first time, a pre-edge feature associated with S–Fe bonding in sphalerite is observed.Key words: XANES, zincblende, sphalerite, characteristic iron content, S L-edge structure, ab initio calculated spectra, density of states, pre-edge peak.

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27

Cameron, Victor, and Anna L. Hargreaves. "Spatial distribution and conservation hotspots of mammals in Canada." FACETS 5, no. 1 (January 1, 2020): 692–703. http://dx.doi.org/10.1139/facets-2020-0018.

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High-latitude countries often contain the polar range edge of species that are common farther south, potentially focusing national conservation efforts toward range-edge populations. The global conservation value of edge populations is controversial, but if they occur where biodiversity is high, there need not be trade-offs in protecting them. Using 152 of 158 terrestrial mammal species in Canada, we tested how species’ distributions relate to their national conservation status and total mammal richness. We found that half of “Canadian” mammals had <20% of their global range in Canada. National threat status was strongly associated with range area; mammals considered “at risk” had 42% smaller Canadian ranges than mammals considered secure. However, after accounting for range area, taxa with smaller proportions of their global range in Canada were not more likely to be considered at risk, suggesting edge populations are not inherently more vulnerable. When we calculated mammal diversity across Canada (100 × 100 km grid cells), we found that hotspots of at-risk or range-edge mammals were twice as species rich as nonhotspot cells, containing up to 44% of Canadian mammal diversity per grid cell. Our results suggest that protecting areas with the most at-risk or range-edge mammals would simultaneously protect habitat for many species currently deemed secure.

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28

Mazerolle, Daniel F., and Keith A. Hobson. "Do Ovenbirds (Seiurus Aurocapillus) Avoid Boreal Forest Edges? A Spatiotemporal Analysis in an Agricultural Landscape." Auk 120, no. 1 (January 1, 2003): 152–62. http://dx.doi.org/10.1093/auk/120.1.152.

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Abstract Previous studies suggest that Ovenbirds (Seiurus aurocapillus) are area sensitive and apparently avoid forest edges. In 1999 and 2000, we used radiotelemetry to investigate how breeding male Ovenbirds respond to forest edges. Twenty-one males with home ranges abutting edges of seven forest fragments surrounded by agriculture were tracked for an average of two weeks. We found that sightings of males were situated 8 ± 10 m closer to edges than random locations within each home range. However, the mean time of day for edge sightings (1139 hours, 95% CI = 1052–1227 hours) occurred significantly later than the mean for sightings in the interior of forest fragments (0936 hours, 95% CI = 0856–1016 hours). That indicates that previous studies focusing on morning singing locations to delineate home-range use have likely underestimated use of edges by birds. Habitat characteristics also varied in relation to edges. Forest canopy was lower, shrubs were denser, leaf-litter thicker, and soils dryer near edges than in the portion of home ranges facing the interior of forest fragments. Arthropod biomass varied little in relation to edges, except biomass of larvae, which was greatest at edges. Boreal forest edges abutting agricultural fields do not appear to reduce habitat use or quality for breeding male Ovenbirds, and so we suggest that the generalized association between area sensitivity and edge avoidance for Ovenbirds in forest fragments be reassessed.

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29

Liebl, A. L., and L. B. Martin. "Living on the edge: range edge birds consume novel foods sooner than established ones." Behavioral Ecology 25, no. 5 (May 26, 2014): 1089–96. http://dx.doi.org/10.1093/beheco/aru089.

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30

Attarian Shandiz, Mohammad, Maxime J. F. Guinel, Majid Ahmadi, and Raynald Gauvin. "Monte Carlo Simulations of Electron Energy-Loss Spectra with the Addition of Fine Structure from Density Functional Theory Calculations." Microscopy and Microanalysis 22, no. 1 (February 2016): 219–29. http://dx.doi.org/10.1017/s1431927615015603.

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AbstractA new approach is presented to introduce the fine structure of core-loss excitations into the electron energy-loss spectra of ionization edges by Monte Carlo simulations based on an optical oscillator model. The optical oscillator strength is refined using the calculated electron energy-loss near-edge structure by density functional theory calculations. This approach can predict the effects of multiple scattering and thickness on the fine structure of ionization edges. In addition, effects of the fitting range for background removal and the integration range under the ionization edge on signal-to-noise ratio are investigated.

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31

Gotoh, T., S. Tsuji, and Y. Kunii. "Estimation Method of Shadow-edge for Shadow Range Finder." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2003 (2003): 94. http://dx.doi.org/10.1299/jsmermd.2003.94_4.

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32

Angert, Amy L., Megan G. Bontrager, and Jon Ågren. "What Do We Really Know About Adaptation at Range Edges?" Annual Review of Ecology, Evolution, and Systematics 51, no. 1 (November 2, 2020): 341–61. http://dx.doi.org/10.1146/annurev-ecolsys-012120-091002.

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Recent theory and empirical evidence have provided new insights regarding how evolutionary forces interact to shape adaptation at stable and transient range margins. Predictions regarding trait divergence at leading edges are frequently supported. However, declines in fitness at and beyond edges show that trait divergence has sometimes been insufficient to maintain high fitness, so identifying constraints to adaptation at range edges remains a key challenge. Indirect evidence suggests that range expansion may be limited by adaptive genetic variation, but direct estimates of genetic constraints at and beyond range edges are still scarce. Sequence data suggest increased genetic load in edge populations in several systems, but its causes and fitness consequences are usually poorly understood. The balance between maladaptive and positive effects of gene flow on fitness at range edges deserves further study. It is becoming increasingly clear that characterizations about degree of adaptation based solely on geographical peripherality are unsupported.

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RISNER, MICHAEL L., FRANKLIN R. AMTHOR, and TIMOTHY J. GAWNE. "The response dynamics of rabbit retinal ganglion cells to simulated blur." Visual Neuroscience 27, no. 1-2 (March 2010): 43–55. http://dx.doi.org/10.1017/s0952523810000064.

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AbstractRetinal ganglion cells (RGCs) are highly sensitive to changes in contrast, which is crucial for the detection of edges in a visual scene. However, in the natural environment, edges do not just vary in contrast, but edges also vary in the degree of blur, which can be caused by distance from the plane of fixation, motion, and shadows. Hence, blur is as much a characteristic of an edge as luminance contrast, yet its effects on the responses of RGCs are largely unexplored.We examined the responses of rabbit RGCs to sharp edges varying by contrast and also to high-contrast edges varying by blur. The width of the blur profile ranged from 0.73 to 13.05 deg of visual angle. For most RGCs, blurring a high-contrast edge produced the same pattern of reduction of response strength and increase in latency as decreasing the contrast of a sharp edge. In support of this, we found a significant correlation between the amount of blur required to reduce the response by 50% and the size of the receptive fields, suggesting that blur may operate by reducing the range of luminance values within the receptive field. These RGCs cannot individually encode for blur, and blur could only be estimated by comparing the responses of populations of neurons with different receptive field sizes. However, some RGCs showed a different pattern of changes in latency and magnitude with changes in contrast and blur; these neurons could encode blur directly.We also tested whether the response of a RGC to a blurred edge was linear, that is, whether the response of a neuron to a sharp edge was equal to the response to a blurred edge plus the response to the missing spatial components that were the difference between a sharp and blurred edge. Brisk-sustained cells were more linear; however, brisk-transient cells exhibited both linear and nonlinear behavior.

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34

Wang, Dingxian. "Edge Detection technique based on HDR image quality assessment." Journal of Physics: Conference Series 2078, no. 1 (November 1, 2021): 012029. http://dx.doi.org/10.1088/1742-6596/2078/1/012029.

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Abstract Image edge detection is one of the major study aspects in current computer image processing field. The quality of the input images is uneven, some have large fuzzy areas, some are underexposed, and the edges of objects in the images are difficult to detect, and the application scenarios of image edge detection are limited. In the view of the above problems, this paper has proposed that by applying High Dynamic Range (HDR) image quality assessment technology, combining multiple images with different exposures into one HDR image with detailed edge information, This technology effectively solved problem of low edge information richness, improved the effectiveness of edge detection algorithms, and contributed to the development of edge detection technology.

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35

Pocock, Simon R., Paloma A. Huidobro, and Vincenzo Giannini. "Bulk-edge correspondence and long-range hopping in the topological plasmonic chain." Nanophotonics 8, no. 8 (April 29, 2019): 1337–47. http://dx.doi.org/10.1515/nanoph-2019-0033.

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AbstractThe existence of topologically protected edge modes is often cited as a highly desirable trait of topological insulators. However, these edge states are not always present. A realistic physical treatment of long-range hopping in a one-dimensional dipolar system can break the symmetry that protects the edge modes without affecting the bulk topological number, leading to a breakdown in bulk-edge correspondence (BEC). Hence, it is important to gain a better understanding of where and how this occurs, as well as how to measure it. Here we examine the behaviour of the bulk and edge modes in a dimerised chain of metallic nanoparticles and in a simpler non-Hermitian next-nearest-neighbour model to provide some insights into the phenomena of bulk-edge breakdown. We construct BEC phase diagrams for the simpler case and use these ideas to devise a measure of symmetry-breaking for the plasmonic system based on its bulk properties. This provides a parameter regime in which BEC is preserved in the topological plasmonic chain, as well as a framework for assessing this phenomenon in other systems.

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Harper, Karen A., Daniel Lesieur, Yves Bergeron, and Pierre Drapeau. "Forest structure and composition at young fire and cut edges in black spruce boreal forest." Canadian Journal of Forest Research 34, no. 2 (February 1, 2004): 289–302. http://dx.doi.org/10.1139/x03-279.

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We compared structure and composition at forest edges created by wildfire and clear-cutting in black spruce (Picea mariana (Mill.) BSP) dominated boreal forest in northwestern Quebec. Forest structure and plant species composition were sampled along transects perpendicular to eight 3- to 4-year-old fire edges and eight 2- to 5-year-old cut edges. Significance of edge influence was assessed by comparing mean values at different distances from the edge to the range of variation in interior forest. The influence of clearcut edges was minimal, generally extending only 5 m from the edge, and included greater log density and different species composition, compared with interior forest. At fire edges, prominent responses to edge creation included increased snag density and lower moss cover, compared with interior forest, extending up to 40 m into the forest. This initial structural change was likely due to partial burning extending into the forest. Overall, fire edges had more snags and a different species composition than cut edges. Our hypothesis that edge influence is more extensive at fire edges than at cut edges was supported for overstory and understory structure, but not for species composition. We suggest that there is a need for management to consider the cumulative effect of the loss of fire edges on the landscape.

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Lin, Wei, Li Xu, and He Fang. "Finding influential edges in multilayer networks: Perspective from multilayer diffusion model." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 10 (October 2022): 103131. http://dx.doi.org/10.1063/5.0111151.

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With the popularization of social network analysis, information diffusion models have a wide range of applications, such as viral marketing, publishing predictions, and social recommendations. The emergence of multiplex social networks has greatly enriched our daily life; meanwhile, identifying influential edges remains a significant challenge. The key problem lies that the edges of the same nodes are heterogeneous at different layers of the network. To solve this problem, we first develop a general information diffusion model based on the adjacency tensor for the multiplex network and show that the [Formula: see text]-mode singular value can control the level of information diffusion. Then, to explain the suppression of information diffusion through edge deletion, efficient edge eigenvector centrality is proposed to identify the influence of heterogeneous edges. The numerical results from synthetic networks and real-world multiplex networks show that the proposed strategy outperforms some existing edge centrality measures. We devise an experimental strategy to demonstrate that influential heterogeneous edges can be successfully identified by considering the network layer centrality, and the deletion of top edges can significantly reduce the diffusion range of information across multiplex networks.

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Liebl, Andrea L., and Lynn B. Martin. "Stress hormone receptors change as range expansion progresses in house sparrows." Biology Letters 9, no. 3 (June 23, 2013): 20130181. http://dx.doi.org/10.1098/rsbl.2013.0181.

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As ranges expand, individuals encounter different environments at the periphery than at the centre of the range. Previously, we have shown that glucocorticoids (GCs) vary with range expansion: individuals at the range edge release more GCs in response to restraint. Here, we measured hippocampal mRNA expression of GC receptors (mineralocorticoid, MR and glucocorticoid, GR) in eight house sparrow ( Passer domesticus ) populations varying in age. We found that individuals closest to the range edge had the lowest expression of MR relative to GR; in all likelihood, this relationship was driven by a marginal reduction of MR mRNA at the range edge. Reduced MR (relative to GR) might allow enhanced GC binding to GR, the lower affinity receptor that would enhance a rapid physiological and behavioural response to stressors. The insights gained from this study are not only enlightening to introduced species, but may also predict how certain species will react as their ranges shift owing to anthropogenic changes.

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Gooliaff, T., and K. E. Hodges. "Historical distributions of bobcats (Lynx rufus) and Canada lynx (Lynx canadensis) suggest no range shifts in British Columbia, Canada." Canadian Journal of Zoology 96, no. 12 (December 2018): 1299–308. http://dx.doi.org/10.1139/cjz-2018-0010.

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Species across the planet are shifting their ranges in response to climate change and habitat loss. However, range shifts may vary, with populations moving in some areas but remaining stable in others; the conditions that encourage range stability rather than range shifts are poorly known. Bobcats (Lynx rufus (Schreber, 1777)) and Canada lynx (Lynx canadensis Kerr, 1792) are congeneric mesocarnivores with wide ranges across North America and range overlap in southern boreal and montane forests (the southern edge for lynx and the northern edge for bobcat). The ranges of both species are shifting in some parts of North America, in most cases resulting in a northward expansion for bobcats and a northward contraction for lynx. However, their range dynamics in the Pacific Northwest, which contains the northwestern range margin for bobcats and the southwestern range margin for lynx, have not been thoroughly documented. Here, we examine whether the range of each species has shifted in British Columbia (BC), Canada, provincially during 1983–2013 or in central BC during 1935–2013. Trapping records indicated that ranges have remained stable, and surveys from trappers supported these findings. Our findings are consistent with previous work showing that many wide-ranging species do not shift their range uniformly across their entire range edge. For bobcats and lynx, their range stability in BC contrasts with their range dynamics in other parts of North America.

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Aharon-Steinberg, A., A. Marguerite, D. J. Perello, K. Bagani, T. Holder, Y. Myasoedov, L. S. Levitov, A. K. Geim, and E. Zeldov. "Long-range nontopological edge currents in charge-neutral graphene." Nature 593, no. 7860 (May 26, 2021): 528–34. http://dx.doi.org/10.1038/s41586-021-03501-7.

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Zhao, Lanfei, and Qidan Zhu. "Edge detail enhancement algorithm for high-dynamic range images." Journal of Intelligent Systems 31, no. 1 (January 1, 2022): 193–206. http://dx.doi.org/10.1515/jisys-2022-0008.

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Abstract Existing image enhancement methods have problems of a slow data transmission and poor conversion effect, resulting in a low image-recognition rate and recognition efficiency. To solve these problems and improve the recognition accuracy and recognition efficiency of image features, this study proposes an edge detail enhancement algorithm for a high-dynamic range image. The original image is transformed by Fourier transform, and the low-frequency and high-frequency images are obtained by the frequency-domain Gaussian filtering and inverse Fourier transform. The low-frequency image is processed by the contrast limited adaptive histogram equalization, and the high-frequency image is obtained by the nonsharpening masking and gray transformation. The low-frequency enhanced and the high-frequency enhanced images are weighted and fused to enhance the edge details of the image. Finally, the experimental results show that the proposed high-dynamic range image edge detail enhancement algorithm maintains the image recognition rate of more than 80% during the practical application, and the recognition time is within 1,200 min, which enhances the image effect, improves the recognition accuracy and recognition efficiency of image characteristics, and fully meets the research requirements.

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Chwen-Jye Sze, Hong-Yuan Mark Liao, Hai-Lung Hung, Kuo-Chin Fan, and Jun-Wei Hsieh. "Multiscale edge detection on range images via normal changes." IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 45, no. 8 (1998): 1087–92. http://dx.doi.org/10.1109/82.718816.

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Coleman, S. A., B. W. Scotney, and S. Suganthan. "Multi-scale edge detection on range and intensity images." Pattern Recognition 44, no. 4 (April 2011): 821–38. http://dx.doi.org/10.1016/j.patcog.2010.11.005.

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Khan, Tariq M., D. G. Bailey, Mohammad A. U. Khan, and Yinan Kong. "Real-time edge detection and range finding using FPGAs." Optik 126, no. 17 (September 2015): 1545–50. http://dx.doi.org/10.1016/j.ijleo.2015.01.024.

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Anile, Stefano, Evan Greenspan, and Clayton K. Nielsen. "Determinants of jaguar occupancy at the northern range edge." Mammal Research 65, no. 4 (June 9, 2020): 667–77. http://dx.doi.org/10.1007/s13364-020-00511-0.

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Bhandarkar, Suchendra M., and Andreas Siebert. "Integrating edge and surface information for range image segmentation." Pattern Recognition 25, no. 9 (September 1992): 947–62. http://dx.doi.org/10.1016/0031-3203(92)90060-v.

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Bellon, O. R. P., and L. Silva. "New improvements to range image segmentation by edge detection." IEEE Signal Processing Letters 9, no. 2 (February 2002): 43–45. http://dx.doi.org/10.1109/97.991134.

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Suganthan, Shanmugalingam, Sonya A. Coleman, and Bryan W. Scotney. "Using Dihedral Angles for Edge Extraction in Range Data." Journal of Mathematical Imaging and Vision 38, no. 2 (June 30, 2010): 108–18. http://dx.doi.org/10.1007/s10851-010-0213-7.

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Powers, Sean D., Matthew R. McTernan, Donald R. Powers, and Roger A. Anderson. "Energetic Consequences for a Northern, Range-Edge Lizard Population." Copeia 106, no. 3 (October 2018): 468–76. http://dx.doi.org/10.1643/cp-17-713.

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Bhattacharya, Subrata. "Edge Detection in Range Images using Nonlinear Laplacian Operators." IETE Journal of Research 48, no. 3-4 (May 2002): 205–9. http://dx.doi.org/10.1080/03772063.2002.11416277.

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