1,091 research outputs found
Trajectory generation for road vehicle obstacle avoidance using convex optimization
This paper presents a method for trajectory generation using convex optimization to find a feasible, obstacle-free path for a road vehicle. Consideration of vehicle rotation is shown to be necessary if the trajectory is to avoid obstacles specified in a fixed Earth axis system. The paper establishes that, despite the presence of significant non-linearities, it is possible to articulate the obstacle avoidance problem in a tractable convex form using multiple optimization passes. Finally, it is shown by simulation that an optimal trajectory that accounts for the vehicle’s changing velocity throughout the manoeuvre is superior to a previous analytical method that assumes constant speed
Nonuniversal behavior of scattering between fractional quantum Hall edges
Among the predicted properties of fractional quantum Hall states are
fractionally charged quasiparticles and conducting edge-states described as
chiral Luttinger liquids. In a system with a narrow constriction, tunneling of
quasi-particles between states at different edges can lead to resistance and to
shot noise. The ratio of the shot noise to the backscattered current, in the
weak scattering regime, measures the fractional charge of the quasi-particle,
which has been confirmed in several experiments. However, the non-linearity of
the resistance predicted by the chiral Luttinger liquid theory was apparently
not observed in some of these cases. As a possible explanation for these
discrepancies, we consider a model where a smooth edge profile leads to
formation of additional edge states. Coupling between the current carrying edge
mode and the additional phonon like mode can lead to {\it nonuniversal}
exponents in the current-voltage characteristic, while preserving the ratio
between shot noise and the back-scattered current, for weak backscattering. For
special values of the coupling, one may obtain a linear I-V behavior.Comment: 10 pages, 3 figure
Recommended from our members
BIOTIGER, A NATURAL MICROBIAL PRODUCT FOR ENHANCED HYDROCARBON RECOVERY FROM OIL SANDS.
BioTiger{trademark} is a unique microbial consortia that resulted from over 8 years of extensive microbiology screening and characterization of samples collected from a century-old Polish waste lagoon. BioTiger{trademark} shows rapid and complete degradation of aliphatic and aromatic hydrocarbons, produces novel surfactants, is tolerant of both chemical and metal toxicity and shows good activity at temperature and pH extremes. Although originally developed and used by the U.S. Department of Energy for bioremediation of oil-contaminated soils, recent efforts have proven that BioTiger{trademark} can also be used to increase hydrocarbon recovery from oil sands. This enhanced ex situ oil recovery process utilizes BioTiger{trademark} to optimize bitumen separation. A floatation test protocol with oil sands from Ft. McMurray, Canada was used for the BioTiger{trademark} evaluation. A comparison of hot water extraction/floatation test of the oil sands performed with BioTiger{trademark} demonstrated a 50% improvement in separation as measured by gravimetric analysis in 4 h and a five-fold increase at 25 hr. Since BioTiger{trademark} performs well at high temperatures and process engineering can enhance and sustain metabolic activity, it can be applied to enhance recovery of hydrocarbons from oil sands or other complex recalcitrant matrices
The Evolution of Quasiparticle Charge in the Fractional Quantum Hall Regime
The charge of quasiparticles in a fractional quantum Hall (FQH) liquid,
tunneling through a partly reflecting constriction with transmission t, was
determined via shot noise measurements. In the nu=1/3 FQH state, a charge
smoothly evolving from e*=e/3 for t=1 to e*=e for t<<1 was determined, agreeing
with chiral Luttinger liquid theory. In the nu=2/5 FQH state the quasiparticle
charge evolves smoothly from e*=e/5 at t=1 to a maximum charge less than e*=e/3
at t<<1. Thus it appears that quasiparticles with an approximate charge e/5
pass a barrier they see as almost opaque.Comment: 4 pages, Correct figure 3 and caption include
Movement patterns of forest elephants (Loxodonta cyclotis Matschie, 1900) in the Odzala-Kokoua National Park, Republic of Congo
[Otros] Les éléphants de forêt d'Afrique (Loxodonta cyclotis Matschie, 1900) sont des ingénieurs en écologie qui jouent un rôle fondamental dans la dynamique de la végétation. L'espèce constitue une préoccupation immédiate pour la conservation,
mais elle est relativement peu étudiée. Pour combler cette lacune de connaissances,
nous avons étudié les facteurs de déplacements quotidiens (déplacements linéaires)
des éléphants de forêt ¿ caractérisés par un ensemble de variables géographiques,
météorologiques et anthropiques ¿ dans le Parc National d'Odzala¿Kokoua, en
République du Congo. Concrètement, nous avons utilisé la forêt d'arbres décisionnels pour modéliser et démêler les principaux facteurs environnementaux régissant
les déplacements de six éléphants de forêt, équipés de colliers GPS et suivis pendant
16 mois. Les résultats ont montré que les femelles se déplaçaient plus loin que les
mâles, tandis que la présence de routes ou d¿établissements humains perturbait le comportement des éléphants, ce qui accélérait les déplacements. Les éléphants de
forêt se déplaçaient plus rapidement dans les cours d¿eau et dans les forêts dont le
sous¿bois était dominé par les forêts de Marantaceae et les bais, mais se déplaçait plus
lentement dans les savanes. Enfin, les zones inondables ¿ characterisées par l¿altitude
et les précipitations accumulées ¿ et les températures plus élevées empêchaient des
déplacements plus longs. Nous espérons que ces résultats amélioreront les connaissances sur les mouvements des espèces à travers différents habitats, ce qui serait
bénéfique pour la gestion de leur conservation.[EN] African forest elephants (Loxodonta cyclotis Matschie, 1900) are ecological engineers
that play a fundamental role in vegetation dynamics. The species is of immediate conservation concern, yet it is relatively understudied. To narrow this knowledge gap,
we studied the drivers of daily movement patterns (linear displacements) of forest
elephants¿characterised by a set of geographical, meteorological and anthropogenic
variables¿in the Odzala¿Kokoua National Park, Republic of Congo. Explicitly, we used
conditional random forest to model and disentangle the main environmental factors
governing the displacements of six forest elephants,fitted with GPS collars and tracked
over 16 months. Results indicated that females moved further distances than males,
while the presence of roads or human settlements disrupted elephant behaviour resulting in faster displacements. Forest elephants moved faster along watercourses
and through forest with understory dominated by Marantaceae forests and bais, but
moved slower in savannahs. Finally, flood¿prone areas¿described by elevation and
accumulated precipitation¿and higher temperatures prevented longer displacements.
We expect these results to improve the knowledge on the species movements through
different habitats, which would benefit its conservation management.The fieldwork was financed by African Parks. We are grateful
to the Congolese wildlife authorities (Ministère de l'Économie
Forestière et de l'Environnement) for the permission to carry
out this study, and we are deeply indebted to the director of the
OKNP and to the conservation, wildlife monitoring and research
manager, Erik Marav, respectively, for their continued support
during our study. We are particularly grateful to Dr. Mike Kock,
veterinarian, for collaring the elephants and to the field tracking
team. We are also grateful to Séan Cahill for the useful comments
and English correction that helped improve this manuscript. The
authors of the present study certify that they have no affiliations
with or involvement in any organisation or entity with any financial or nonfinancial interest in the subject matter or materials discussed in this manuscript.Molina-Vacas, G.; Muñoz-Mas, R.; Martinez-Capel, F.; Rodriguez-Teijeiro, JD.; Le Fohlic, G. (2019). Movement patterns of forest elephants (Loxodonta cyclotis Matschie, 1900) in the Odzala-Kokoua National Park, Republic of Congo. African Journal of Ecology. 58:23-33. https://doi.org/10.1111/aje.12695S233358Arlot, S., & Celisse, A. (2010). A survey of cross-validation procedures for model selection. Statistics Surveys, 4(0), 40-79. doi:10.1214/09-ss054Bermejo, M. (1999). Status and conservation of primates in Odzala National Park, Republic of the Congo. Oryx, 33(4), 323-331. doi:10.1046/j.1365-3008.1999.00081.xBirkett, P. J., Vanak, A. T., Muggeo, V. M. R., Ferreira, S. M., & Slotow, R. (2012). Animal Perception of Seasonal Thresholds: Changes in Elephant Movement in Relation to Rainfall Patterns. PLoS ONE, 7(6), e38363. doi:10.1371/journal.pone.0038363Blake, S., Deem, S. L., Strindberg, S., Maisels, F., Momont, L., Isia, I.-B., … Kock, M. D. (2008). Roadless Wilderness Area Determines Forest Elephant Movements in the Congo Basin. PLoS ONE, 3(10), e3546. doi:10.1371/journal.pone.0003546Blake, S., Douglas-Hamilton, I., & Karesh, W. B. (2001). GPS telemetry of forest elephants in Central Africa: results of a preliminary study. African Journal of Ecology, 39(2), 178-186. doi:10.1046/j.1365-2028.2001.00296.xBlake, S., Strindberg, S., Boudjan, P., Makombo, C., Bila-Isia, I., Ilambu, O., … Maisels, F. (2007). Forest Elephant Crisis in the Congo Basin. PLoS Biology, 5(4), e111. doi:10.1371/journal.pbio.0050111Bohrer, G., Beck, P. S., Ngene, S. M., Skidmore, A. K., & Douglas-Hamilton, I. (2014). Elephant movement closely tracks precipitation-driven vegetation dynamics in a Kenyan forest-savanna landscape. Movement Ecology, 2(1). doi:10.1186/2051-3933-2-2Breiman, L. (2001). Machine Learning, 45(1), 5-32. doi:10.1023/a:1010933404324Breuer, T., Maisels, F., & Fishlock, V. (2016). The consequences of poaching and anthropogenic change for forest elephants. Conservation Biology, 30(5), 1019-1026. doi:10.1111/cobi.12679Buij, R., McShea, W. J., Campbell, P., Lee, M. E., Dallmeier, F., Guimondou, S., … Alonso, A. (2007). Patch-occupancy models indicate human activity as major determinant of forest elephant Loxodonta cyclotis seasonal distribution in an industrial corridor in Gabon. Biological Conservation, 135(2), 189-201. doi:10.1016/j.biocon.2006.10.028CLARK, C. J., POULSEN, J. R., MALONGA, R., & ELKAN, Jr., P. W. (2009). Logging Concessions Can Extend the Conservation Estate for Central African Tropical Forests. Conservation Biology, 23(5), 1281-1293. doi:10.1111/j.1523-1739.2009.01243.xCrooks, K. R., Burdett, C. L., Theobald, D. M., King, S. R. B., Di Marco, M., Rondinini, C., & Boitani, L. (2017). Quantification of habitat fragmentation reveals extinction risk in terrestrial mammals. Proceedings of the National Academy of Sciences, 114(29), 7635-7640. doi:10.1073/pnas.1705769114De Beer, Y., & van Aarde, R. J. (2008). Do landscape heterogeneity and water distribution explain aspects of elephant home range in southern Africa’s arid savannas? Journal of Arid Environments, 72(11), 2017-2025. doi:10.1016/j.jaridenv.2008.07.002De Knegt, H. J., van Langevelde, F., Skidmore, A. K., Delsink, A., Slotow, R., Henley, S., … Prins, H. H. T. (2010). The spatial scaling of habitat selection by African elephants. Journal of Animal Ecology, 80(1), 270-281. doi:10.1111/j.1365-2656.2010.01764.xDi Marco, M., Buchanan, G. M., Szantoi, Z., Holmgren, M., Grottolo Marasini, G., Gross, D., … Rondinini, C. (2014). Drivers of extinction risk in African mammals: the interplay of distribution state, human pressure, conservation response and species biology. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1643), 20130198. doi:10.1098/rstb.2013.0198Vladimir, D., & Jon, H. (2018). Mammalwatching: A new source of support for science and conservation. International Journal of Biodiversity and Conservation, 10(4), 154-160. doi:10.5897/ijbc2017.1162Elliot, N. B., Cushman, S. A., Loveridge, A. J., Mtare, G., & Macdonald, D. W. (2014). Movements vary according to dispersal stage, group size, and rainfall: the case of the African lion. Ecology, 95(10), 2860-2869. doi:10.1890/13-1793.1Fishlock, V., & Lee, P. C. (2013). Forest elephants: fission–fusion and social arenas. Animal Behaviour, 85(2), 357-363. doi:10.1016/j.anbehav.2012.11.004Friedman, J. H. (2001). machine. The Annals of Statistics, 29(5), 1189-1232. doi:10.1214/aos/1013203451GOBUSH, K. S., MUTAYOBA, B. M., & WASSER, S. K. (2008). Long-Term Impacts of Poaching on Relatedness, Stress Physiology, and Reproductive Output of Adult Female African Elephants. Conservation Biology, 22(6), 1590-1599. doi:10.1111/j.1523-1739.2008.01035.xGoldenberg, S. Z., Douglas-Hamilton, I., Daballen, D., & Wittemyer, G. (2016). Challenges of using behavior to monitor anthropogenic impacts on wildlife: a case study on illegal killing of African elephants. Animal Conservation, 20(3), 215-224. doi:10.1111/acv.12309Goldenberg, S. Z., Douglas-Hamilton, I., & Wittemyer, G. (2018). Inter-generational change in African elephant range use is associated with poaching risk, primary productivity and adult mortality. Proceedings of the Royal Society B: Biological Sciences, 285(1879), 20180286. doi:10.1098/rspb.2018.0286Gonzalez-Voyer, A., González-Suárez, M., Vilà, C., & Revilla, E. (2016). Larger brain size indirectly increases vulnerability to extinction in mammals. Evolution, 70(6), 1364-1375. doi:10.1111/evo.12943Graham, M. D., Douglas-Hamilton, I., Adams, W. M., & Lee, P. C. (2009). The movement of African elephants in a human-dominated land-use mosaic. Animal Conservation, 12(5), 445-455. doi:10.1111/j.1469-1795.2009.00272.xHarris, G., Thirgood, S., Hopcraft, J., Cromsight, J., & Berger, J. (2009). Global decline in aggregated migrations of large terrestrial mammals. Endangered Species Research, 7, 55-76. doi:10.3354/esr00173Hothorn, T., Hornik, K., & Zeileis, A. (2006). Unbiased Recursive Partitioning: A Conditional Inference Framework. Journal of Computational and Graphical Statistics, 15(3), 651-674. doi:10.1198/106186006x133933Johnson, D. D. P., Kays, R., Blackwell, P. G., & Macdonald, D. W. (2002). Does the resource dispersion hypothesis explain group living? Trends in Ecology & Evolution, 17(12), 563-570. doi:10.1016/s0169-5347(02)02619-8Kolowski, J. M., Blake, S., Kock, M. D., Lee, M. E., Henderson, A., Honorez, A., & Alonso, A. (2010). Movements of four forest elephants in an oil concession in Gabon, Central Africa. African Journal of Ecology, 48(4), 1134-1138. doi:10.1111/j.1365-2028.2009.01204.xLAURANCE, W. F., CROES, B. M., TCHIGNOUMBA, L., LAHM, S. A., ALONSO, A., LEE, M. E., … ONDZEANO, C. (2006). Impacts of Roads and Hunting on Central African Rainforest Mammals. Conservation Biology, 20(4), 1251-1261. doi:10.1111/j.1523-1739.2006.00420.xLoarie, S. R., Aarde, R. J. V., & Pimm, S. L. (2009). Fences and artificial water affect African savannah elephant movement patterns. Biological Conservation, 142(12), 3086-3098. doi:10.1016/j.biocon.2009.08.008Maisels, F., Strindberg, S., Blake, S., Wittemyer, G., Hart, J., Williamson, E. A., … Amsini, F. (2013). Devastating Decline of Forest Elephants in Central Africa. PLoS ONE, 8(3), e59469. doi:10.1371/journal.pone.0059469May, R., Dandy, G., & Maier, H. (2011). Review of Input Variable Selection Methods for Artificial Neural Networks. Artificial Neural Networks - Methodological Advances and Biomedical Applications. doi:10.5772/16004Metsio Sienne, J., Buchwald, R., & Wittemyer, G. (2013). Differentiation in mineral constituents in elephant selected versus unselected water and soil resources at Central African bais (forest clearings). European Journal of Wildlife Research, 60(2), 377-382. doi:10.1007/s10344-013-0781-0Mills, E. C., Poulsen, J. R., Fay, J. M., Morkel, P., Clark, C. J., Meier, A., … White, L. J. T. (2018). Forest elephant movement and habitat use in a tropical forest-grassland mosaic in Gabon. PLOS ONE, 13(7), e0199387. doi:10.1371/journal.pone.0199387Muñoz-Mas, R., Fukuda, S., Pórtoles, J., & Martínez-Capel, F. (2018). Revisiting probabilistic neural networks: a comparative study with support vector machines and the microhabitat suitability for the Eastern Iberian chub (Squalius valentinus). Ecological Informatics, 43, 24-37. doi:10.1016/j.ecoinf.2017.10.008Muñoz-Mas, R., Fukuda, S., Vezza, P., & Martínez-Capel, F. (2016). Comparing four methods for decision-tree induction: A case study on the invasive Iberian gudgeon ( Gobio lozanoi ; Doadrio and Madeira, 2004). Ecological Informatics, 34, 22-34. doi:10.1016/j.ecoinf.2016.04.011Poulsen, J. R., Koerner, S. E., Moore, S., Medjibe, V. P., Blake, S., Clark, C. J., … White, L. J. T. (2017). Poaching empties critical Central African wilderness of forest elephants. Current Biology, 27(4), R134-R135. doi:10.1016/j.cub.2017.01.023Poulsen, J. R., Rosin, C., Meier, A., Mills, E., Nuñez, C. L., Koerner, S. E., … Sowers, M. (2018). Ecological consequences of forest elephant declines for Afrotropical forests. Conservation Biology, 32(3), 559-567. doi:10.1111/cobi.13035Ripple, W. J., Abernethy, K., Betts, M. G., Chapron, G., Dirzo, R., Galetti, M., … Young, H. (2016). Bushmeat hunting and extinction risk to the world’s mammals. Royal Society Open Science, 3(10), 160498. doi:10.1098/rsos.160498Sánchez‐Montoya, M. M., Moleón, M., Sánchez‐Zapata, J. A., & Tockner, K. (2016). Dry riverbeds: corridors for terrestrial vertebrates. Ecosphere, 7(10). doi:10.1002/ecs2.1508Schuttler, S. G., Blake, S., & Eggert, L. S. (2012). Movement Patterns and Spatial Relationships Among African Forest Elephants. Biotropica, 44(4), 445-448. doi:10.1111/j.1744-7429.2012.00889.xSHORT, J. C. (1983). Density and seasonal movements of forest elephant (Loxodonta africana cyclotis, Matschie) in Bia National Park, Ghana. African Journal of Ecology, 21(3), 175-184. doi:10.1111/j.1365-2028.1983.tb01179.xSnyman, S. L. (2012). The role of tourism employment in poverty reduction and community perceptions of conservation and tourism in southern Africa. Journal of Sustainable Tourism, 20(3), 395-416. doi:10.1080/09669582.2012.657202Stokes, E. J., Strindberg, S., Bakabana, P. C., Elkan, P. W., Iyenguet, F. C., Madzoké, B., … Rainey, H. J. (2010). Monitoring Great Ape and Elephant Abundance at Large Spatial Scales: Measuring Effectiveness of a Conservation Landscape. PLoS ONE, 5(4), e10294. doi:10.1371/journal.pone.0010294Strobl, C., Boulesteix, A.-L., Zeileis, A., & Hothorn, T. (2007). Bias in random forest variable importance measures: Illustrations, sources and a solution. BMC Bioinformatics, 8(1). doi:10.1186/1471-2105-8-25Strobl, C., Hothorn, T., & Zeileis, A. (2009). Party on! The R Journal, 1(2), 14. doi:10.32614/rj-2009-013Turkalo, A. K. (2013). Estimating forest elephant age. African Journal of Ecology, 51(3), 501-505. doi:10.1111/aje.12087Turkalo, A. K., Wrege, P. H., & Wittemyer, G. (2013). Long-Term Monitoring of Dzanga Bai Forest Elephants: Forest Clearing Use Patterns. PLoS ONE, 8(12), e85154. doi:10.1371/journal.pone.0085154Wasser, S. K., Brown, L., Mailand, C., Mondol, S., Clark, W., Laurie, C., & Weir, B. S. (2015). Genetic assignment of large seizures of elephant ivory reveals Africa’s major poaching hotspots. Science, 349(6243), 84-87. doi:10.1126/science.aaa2457WILLIAMS, T. M. (1990). Heat transfer in elephants: thermal partitioning based on skin temperature profiles. Journal of Zoology, 222(2), 235-245. doi:10.1111/j.1469-7998.1990.tb05674.xWittemyer, G., Northrup, J. M., Blanc, J., Douglas-Hamilton, I., Omondi, P., & Burnham, K. P. (2014). Illegal killing for ivory drives global decline in African elephants. Proceedings of the National Academy of Sciences, 111(36), 13117-13121. doi:10.1073/pnas.1403984111WREGE, P. H., ROWLAND, E. D., THOMPSON, B. G., & BATRUCH, N. (2010). Use of Acoustic Tools to Reveal Otherwise Cryptic Responses of Forest Elephants to Oil Exploration. Conservation Biology, 24(6), 1578-1585. doi:10.1111/j.1523-1739.2010.01559.xYoung, K. D., Ferreira, S. M., & Van Aarde, R. J. (2009). Elephant spatial use in wet and dry savannas of southern Africa. Journal of Zoology, 278(3), 189-205. doi:10.1111/j.1469-7998.2009.00568.
Boundary interactions changing operators and dynamical correlations in quantum impurity problems
Recent developments have made possible the computation of equilibrium
dynamical correlators in quantum impurity problems. In many situations however,
one is rather interested in correlators subject to a non equilibrium initial
preparation; this is the case for instance for the occupation probability
in the double well problem of dissipative quantum mechanics (DQM). We
show in this paper how to handle this situation in the framework of integrable
quantum field theories by introducing ``boundary interactions changing
operators''. We determine the properties of these operators by using an
axiomatic approach similar in spirit to what is done for form-factors. This
allows us to obtain new exact results for ; for instance, we find that
that at large times (or small ), the leading behaviour for g < 1/2} is
, with the universal ratio.
.Comment: 4 pages, revte
Role of soil texture, clay mineralogy, location, and temperature in coarse wood decomposition—a mesocosm experiment
Of all the major pools of terrestrial carbon (C), the dynamics of coarse woody debris (CWD) are the least understood. In contrast to soils and living vegetation, the study of CWD has rarely relied on ex situ methods for elaborating controls on decomposition rates. In this study, we report on a mesocosm incubation experiment examining how clay amount (8%, 16%, and 24% clay), clay type (soil reconstructed with kaolinite vs. montmorillonite), wood placement (on litter layer surface, at the litter layer–soil interface, buried in the mineral soil), and laboratory incubation temperature (10°, 20°, or 30°C) control decomposition rates of highly standardized stakes and blocks of coarse aspen wood. Clay type effect was pronounced, with wood decomposing more quickly in kaolinite- than in montmorillonite-amended soils, perhaps due to a combined effect of moisture and microbial access to the substrate. Clay amount had only very limited effect on wood decomposition, which was a function of contact with the mineral soil (Surface \u3c Interface \u3c Mineral), perhaps due to greater contact with the decomposer community. Temperature effects were significant and dependent on interactions with clay type and wood placement. Effects of temperature on wood decomposition declined as the effects of soil variables increased, suggesting a hierarchy of controls on wood decomposition rates. Both water content and temperature had a strong effect on wood decomposition. Our results highlight that multiple interacting factors likely regulate wood decomposition processes. Multifactorial field experiments are needed to examine the physical, chemical, and biological factors controlling wood decompositio
Strong quasi-particle tunneling study in the paired quantum Hall states
The quasi-particle tunneling phenomena in the paired fractional quantum Hall
states are studied. A single point-contact system is first considered. Because
of relevancy of the quasi-particle tunneling term, the strong tunneling regime
should be investigated.
Using the instanton method it is shown that the strong quasi-particle
tunneling regime is described as the weak electron tunneling regime
effectively.
Expanding to the network model the paired quantum Hall liquid to insulator
transition is discussed
Flow Phase Diagram for the Helium Superfluids
The flow phase diagram for He II and He-B is established and discussed
based on available experimental data and the theory of Volovik [JETP Letters
{\bf{78}} (2003) 553]. The effective temperature - dependent but scale -
independent Reynolds number , where
and are the mutual friction parameters and the superfluid Reynolds
number characterizing the circulation of the superfluid component in units of
the circulation quantum are used as the dynamic parameters. In particular, the
flow diagram allows identification of experimentally observed turbulent states
I and II in counterflowing He II with the turbulent regimes suggested by
Volovik.Comment: 2 figure
- …