323,603 research outputs found
Interview with DeWitte Thackston
No full textDeWitte Thackston interviewed by Esther Mallard, May 18, 1988. Find this collection in the University Libraries\u27 catalog!https://digitalcommons.georgiasouthern.edu/specolleoralhistory/1106/thumbnail.jp
Guerre du Golfe : les enjeux en France
No full textDewitte Philippe. Guerre du Golfe : les enjeux en France. In: Hommes et Migrations, n°1141, mars 1991. Elles... Femmes en mouvement(s) pp. 85-87
Qualitative modeling of pressure vs. pain relations in women suffering from dyspareunia
No full textGenital pain / penetration disorders affect a significant portion of the female population and diminish significantly the quality of life of the subjects. Treatments, that often consist in stretching opportunely the vaginal duct by means of opportune vaginal dilators, are known to be invasive, lengthy and uncomfortable. Designing better treatments (e.g., more efficient locations and levels of pressures) nonetheless requires understanding better how the pressure developed in the vaginal channel affects the patient and leads to subjective pain. Here we take a control-oriented approach to the problem, and aim at describing the dynamics of the pressure vs. pain mechanisms by means of opportune state space representations. In particular, we first collect and discuss the medical literature, that describes how the variables that are involved in the treatment of genital pain / penetration disorders with vaginal dilators, are logically related. After this we translate (and complete) this set of logical relations into a qualitative model that allows control oriented analyses of the dynamics. The obtained state space model is then proved to both mimic correctly what is expected from logical perspectives and reproduce behaviors measured in clinical settings
Reinterpreting the thermocline feedback in the western-central equatorial Pacific and its relationship with the ENSO modulation
No full textISI Document Delivery No.: 194GQ Times Cited: 0 Cited Reference Count: 52 Cited References: An SI, 2009, THEOR APPL CLIMATOL, V97, P29, DOI 10.1007/s00704-008-0071-z An SI, 2008, J CLIMATE, V21, P3, DOI 10.1175/2007JCLI1500.1 An S-I, 2000, GEOPHYS RES LETT, V27, P1573 An SI, 2001, J CLIMATE, V14, P3421, DOI 10.1175/1520-0442(2001)0142.0.CO;2 An SI, 2000, J CLIMATE, V13, P2044, DOI 10.1175/1520-0442(2000)0132.0.CO;2 Ashok K, 2007, J GEOPHYS RES-OCEANS, V112, DOI 10.1029/2006JC003798 Belmadani A, 2010, J CLIMATE, V23, P3181, DOI 10.1175/2010JCLI2830.1 Boyer TP, 2002, NOAA ATLAS NESDIS 43, V2 Choi J, 2012, CLIM DYNAM, V38, P2631, DOI 10.1007/s00382-011-1186-y Choi J, 2011, CLIM DYNAM, V37, P1205, DOI 10.1007/s00382-010-0912-1 Clarke AJ, 2010, J PHYS OCEANOGR, V40, P121, DOI 10.1175/2009JPO4263.1 Collins M, 2010, NAT GEOSCI, V3, P391, DOI 10.1038/NGEO868 Compo GP, 2006, B AM METEOROL SOC, V87, P175, DOI 10.1175/BAMS-87-2-175 Delworth TL, 2006, J CLIMATOL, V19, P634 Dewitte B, 2007, J CLIMATE, V20, P2002, DOI 10.1175/JCL14110.1 Dewitte B, 2012, CLIM DYNAM, V38, P2275, DOI 10.1007/s00382-011-1215-x Dewitte B, 1999, J PHYS OCEANOGR, V29, P1542, DOI 10.1175/1520-0485(1999)0292.0.CO;2 Dewitte B., 2000, Journal of Climate, V13, DOI 10.1175/1520-0442(2000)0132.0.CO;2 Dewitte B, 2009, J CLIMATE, V22, P5783, DOI 10.1175/2009JCLI2764.1 DiNezio PN, 2009, J CLIMATE, V22, P4873, DOI 10.1175/2009JCLI2982.1 Fedorov AV, 2001, J CLIMATE, V14, P3086, DOI 10.1175/1520-0442(2001)0142.0.CO;2 Giese BS, 2011, J GEOPHYS RES-OCEANS, V116, DOI 10.1029/2010JC006695 Gill A., 1982, ATMOSPHERE OCEAN DYN Gnanadesikan, 2006, J CLIMATE, V19, P675 Griffies SM, 2005, OCEAN SCI, V1, P45 HIRST AC, 1986, J ATMOS SCI, V43, P606, DOI 10.1175/1520-0469(1986)0432.0.CO;2 Jin FF, 2003, GEOPHYS RES LETT, V30, DOI 10.1029/2002GL016356 JIN FF, 1993, J ATMOS SCI, V50, P3477, DOI 10.1175/1520-0469(1993)0502.0.CO;2 Kao HY, 2009, J CLIMATE, V22, P615, DOI 10.1175/2008JCLI2309.1 Kug JS, 2009, J CLIMATE, V22, P1499, DOI 10.1175/2008JCLI2624.1 Kug JS, 2010, J CLIMATE, V23, P1226, DOI 10.1175/2009JCLI3293.1 Lee T, 2010, GEOPHYS RES LETT, V37, DOI 10.1029/2010GL044007 Lin SJ, 2004, MON WEATHER REV, V132, P2293, DOI 10.1175/1520-0493(2004)1322.0.CO;2 Locarnini RA, 2002, NOAA ATLAS NESDIS 45, V4 McPhaden MJ, 1998, J GEOPHYS RES-OCEANS, V103, P14169, DOI 10.1029/97JC02906 Moon BK, 2004, GEOPHYS RES LETT, V31, DOI 10.1029/2003GL018829 Neelin JD, 1998, J GEOPHYS RES-OCEANS, V103, P14261, DOI 10.1029/97JC03424 Picaut J, 1997, SCIENCE, V277, P663, DOI 10.1126/science.277.5326.663 RASMUSSON EM, 1982, MON WEATHER REV, V110, P354, DOI 10.1175/1520-0493(1982)1102.0.CO;2 Rayner NA, 2003, J GEOPHYS RES-ATMOS, V108, DOI 10.1029/2002JD002670 SMITH RD, 1992, PHYSICA D, V60, P38, DOI 10.1016/0167-2789(92)90225-C Stephens C, 2002, NOAA ATLAS NESDIS 44, V3 Takahashi K, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL047364 Thual S, 2011, J CLIMATE, V24, P4332, DOI 10.1175/2011JCLI4148.1 Timmermann A, 2003, J ATMOS SCI, V60, P152, DOI 10.1175/1520-0469(2003)0602.0.CO;2 Whitaker JS, 2004, MON WEATHER REV, V132, P1190, DOI 10.1175/1520-0493(2004)1322.0.CO;2 Wittenberg AT, 2006, J CLIMATE, V19, P698, DOI 10.1175/JCLI3631.1 Wyrtki K, 1982, MARINE TECHNOLOGY SO, V6, P3 Yeh SW, 2009, NATURE, V461, P511, DOI 10.1038/nature08316 Yeh SW, 2010, CLIM DYNAM, V35, P355, DOI 10.1007/s00382-010-0849-4 ZEBIAK SE, 1987, MON WEATHER REV, V115, P2262, DOI 10.1175/1520-0493(1987)1152.0.CO;2 Zelle H, 2004, J PHYS OCEANOGR, V34, P643, DOI 10.1175/2523.1 Dewitte, Boris Yeh, Sang-Wook Thual, Sulian STAR (Science and Technology Amicable Research) program; Korean Government (National Research Foundation of Korea) [2011-K1A2A012-2012-0005885]; Korea Meteorological Administration Research and Development Program under grant CATER [2012-3041] We are grateful to Pr. Soon-Il An (Univ. of Yonsei) for fruitful discussions. The anonymous reviewer is also thanked for his constructive comments that helped to improve the manuscript. This work was supported by the STAR (Science and Technology Amicable Research) program and the Korean Government (National Research Foundation of Korea-2011-K1A2A012-2012-0005885). S.-W. Yeh was also funded by the Korea Meteorological Administration Research and Development Program under grant CATER 2012-3041. 0 SPRINGER NEW YORK CLIM DYNAMVertical stratification changes at low frequency over the last decades are the largest in the western-central Pacific and have the potential to modify the balance between ENSO feedback processes. Here we show evidence of an increase in thermocline feedback in the western-central equatorial Pacific over the last 50 years, and in particular after the climate shift of 1976. It is demonstrated that the thermocline feedback becomes more effective due to the increased stratification in the vicinity of the mean thermocline. This leads to an increase in vertical advection variability twice as large as the increase resulting from the stronger ENSO amplitude (positive asymmetry) in the eastern Pacific that connects to the thermocline in the western-central Pacific through the basin-scale 'tilt' mode. Although the zonal advective feedback is dominant over the western-central equatorial Pacific, the more effective thermocline feedback allows for counteracting its warming (cooling) effect during warm (cold) events, leading to the reduced covariability between SST and thermocline depth anomalies in the NINO4 (160A degrees E-150A degrees W; 5A degrees S-5A degrees N) region after the 1976 climate shift. This counter-intuitive relationship between thermocline feedback strength as derived from the linear relationship between SST and thermocline fluctuations and stratification changes is also investigated in a long-term general circulation coupled model simulation. It is suggested that an increase in ENSO amplitude may lead to the decoupling between eastern and central equatorial Pacific sea surface temperature anomalies through its effect on stratification and thermocline feedback in the central-western Pacific
Diffusive author(s), cohesive author: Analysis of S/N (1994)
No full textThis study indicates the ways in which various aspects of the author(s) are brought forth in Dumb type’s performance art, the S/N production. Previous research has suggested a non-hierarchical organization of Dumb type and the absence of a “privileged author” in Dumb type’s collaborative work, S/N. However, the results that I have investigated from member’s interviews on the creative process of S/N along with my analysis of the recorded images of S/N, indicate a different aspect of the author(s). First, S/N was created through, so to speak, the collective ideas of the members of Dumb type. Further, S/N has at least nine quotations from previous performances, installations, and printed writings, besides the work-in-progress technique. Explicating one of the “author functions” as given by Michel Foucault, each text has plural subjects of the author. However, it has been revealed from members’ interviews that Teiji Furuhashi had a decision-making role in selecting the members’ ideas within the performance. Since then, S/N has had plural subjects of creation; however, Furuhashi is one of the subjects of creation along with the “privileged author.” S/N has plural authors (diffusive authors) yet at the same time, it has a “privileged author,” Teiji Furuhashi (cohesive author)
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Towards the reproducibility in soil erosion modeling: a new Pan-European soil erosion map
No full textAbstract
Soil erosion by water is a widespread phenomenon throughout Europe and has the potentiality, with his on-site and off-site effects, to affect water quality, food security and floods. Despite the implementation of numerous and different models for estimating soil erosion by water in Europe, there is still a lack of harmonization of assessment methodologies.
Often, different approaches result in soil erosion rates significantly different. Even when the same model is applied to the same region the results may differ. This can be due to the way the model is implemented (i.e. with the selection of different algorithms when available) and/or to the use of datasets having different resolution or accuracy. Scientific computation is emerging as one of the central topic of the scientific method, for overcoming these problems there is thus the necessity to develop reproducible computational method where codes and data are available.
The present study illustrates this approach. Using only public available datasets, we applied the Revised Universal Soil loss Equation (RUSLE) to locate the most sensitive areas to soil erosion by water in Europe.
A significant effort was made for selecting the better simplified equations to be used when a strict application of the RUSLE model is not possible. In particular for the computation of the Rainfall Erosivity factor (R) the reproducible research paradigm was applied. The calculation of the R factor was implemented using public datasets and the GNU R language. An easily reproducible validation procedure based on measured precipitation time series was applied using MATLAB language. Designing the computational modelling architecture with the aim to ease as much as possible the future reuse of the model in analysing climate change scenarios is also a challenging goal of the research.
Cite as:
Bosco, C., de Rigo, D., Dewitte, O., Montanarella, L., 2011. Towards the reproducibility in soil erosion modeling: a new Pan-European soil erosion map. Wageningen Conference on Applied Soil Science “Soil Science in a Changing World”, 18 - 22 September 2011, Wageningen, The Netherlands.
Author’s version DOI: 10.6084/m9.figshare.936872, arXiv:1402.3847
References
[1] Rusco, E., Montanarella, L., Bosco, C., 2008. Soil erosion: a main threats to the soils in Europe. In: Tóth, G., Montanarella, L., Rusco, E. (Eds.), Threats to Soil Quality in Europe. No. EUR 23438 EN in EUR - Scientific and Technical Research series. Office for Official Publications of the European Communities, pp. 37-45
[2] Casagrandi, R. and Guariso, G., 2009. Impact of ICT in Environmental Sciences: A citation analysis 1990-2007. Environmental Modelling & Software 24 (7), 865-871. DOI:10.1016/j.envsoft.2008.11.013
[3] Stallman, R. M., 2005. Free community science and the free development of science. PLoS Med 2 (2), e47+. DOI:10.1371/journal.pmed.0020047
[4] Waldrop, M. M., 2008. Science 2.0. Scientific American 298 (5), 68-73. DOI:10.1038/scientificamerican0508-68
[5] Heineke, H. J., Eckelmann, W., Thomasson, A. J., Jones, R. J. A., Montanarella, L., and Buckley, B., 1998. Land Information Systems: Developments for planning the sustainable use of land resources. Office for Official Publications of the European Communities, Luxembourg. EUR 17729 EN
[6] Farr, T. G., Rosen, P A., Caro, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., Alsdorf, D., 2007. The Shuttle Radar Topography Mission. Review of Geophysics 45, RG2004, DOI:10.1029/2005RG000183
[7] Haylock, M. R., Hofstra, N., Klein Tank, A. M. G., Klok, E. J., Jones, P. D., and New, M., 2008. A European daily high-resolution gridded dataset of surface temperature and precipitation. Journal of Geophysical Research 113, (D20) D20119+ DOI:10.1029/2008jd010201
[8] Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K., and Yoder, D. C., 1997. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE). Agriculture handbook 703. US Dept Agric., Agr. Handbook, 703
[9] Bosco, C., Rusco, E., Montanarella, L., Panagos, P., 2009. Soil erosion in the alpine area: risk assessment and climate change. Studi Trentini di scienze naturali 85, 119-125
[10] Bosco, C., Rusco, E., Montanarella, L., Oliveri, S., 2008. Soil erosion risk assessment in the alpine area according to the IPCC scenarios. In: Tóth, G., Montanarella, L., Rusco, E. (Eds.), Threats to Soil Quality in Europe. No. EUR 23438 EN in EUR - Scientific and Technical Research series. Office for Official Publications of the European Communities, pp. 47-58
[11] de Rigo, D. and Bosco, C., 2011. Architecture of a Pan-European Framework for Integrated Soil Water Erosion Assessment. IFIP Advances in Information and Communication Technology 359 (34), 310-31. DOI:10.1007/978-3-642-22285-6_34
[12] Bosco, C., de Rigo, D., Dewitte, O., and Montanarella, L., 2011. Towards a Reproducible Pan-European Soil Erosion Risk Assessment - RUSLE. Geophys. Res. Abstr. 13, 3351
[13] Bollinne, A., Laurant, A., and Boon, W., 1979. L’érosivité des précipitations a Florennes. Révision de la carte des isohyétes et de la carte d’erosivite de la Belgique. Bulletin de la Société géographique de Liége 15, 77-99
[14] Ferro, V., Porto, P and Yu, B., 1999. A comparative study of rainfall erosivity estimation for southern Italy and southeastern Australia. Hydrolog. Sci. J. 44 (1), 3-24. DOI:10.1080/02626669909492199
[15] de Santos Loureiro, N. S. and de Azevedo Coutinho, M., 2001. A new procedure to estimate the RUSLE EI30 index, based on monthly rainfall data and applied to the Algarve region, Portugal. J. Hydrol. 250, 12-18. DOI:10.1016/S0022-1694(01)00387-0
[16] Rogler, H., and Schwertmann, U., 1981. Erosivität der Niederschläge und Isoerodentkarte von Bayern (Rainfall erosivity and isoerodent map of Bavaria). Zeitschrift fur Kulturtechnik und Flurbereinigung 22, 99-112
[17] Nearing, M. A., 1997. A single, continuous function for slope steepness influence on soil loss. Soil Sci. Soc. Am. J. 61 (3), 917-919. DOI:10.2136/sssaj1997.03615995006100030029x
[18] Morgan, R. P C., 2005. Soil Erosion and Conservation, 3rd ed. Blackwell Publ., Oxford, pp. 304
[19] Šúri, M., Cebecauer, T., Hofierka, J., Fulajtár, E., 2002. Erosion Assessment of Slovakia at regional scale using GIS. Ecology 21 (4), 404-422
[20] Cebecauer, T. and Hofierka, J., 2008. The consequences of land-cover changes on soil erosion distribution in Slovakia. Geomorphology 98, 187-198. DOI:10.1016/j.geomorph.2006.12.035
[21] Poesen, J., Torri, D., and Bunte, K., 1994. Effects of rock fragments on soil erosion by water at different spatial scales: a review. Catena 23, 141-166. DOI:10.1016/0341-8162(94)90058-2
[22] Wischmeier, W. H., 1959. A rainfall erosion index for a universal Soil-Loss Equation. Soil Sci. Soc. Amer. Proc. 23, 246-249
[23] Iverson, K. E., 1980. Notation as a tool of thought. Commun. ACM 23 (8), 444-465. DOI:10.1145/358896.358899
[24] Quarteroni, A., Saleri, F., 2006. Scientific Computing with MATLAB and Octave. Texts in Computational Science and Engineering. Milan, Springer-Verlag
[25] The MathWorks, 2011. MATLAB. http://www.mathworks.com/help/techdoc/ref/
[26] Eaton, J. W., Bateman, D., and Hauberg, S., 2008. GNU Octave Manual Version 3. A high-level interactive language for numerical computations. Network Theory Limited, ISBN: 0-9546120-6-X
[27] de Rigo, D., 2011. Semantic Array Programming with Mastrave - Introduction to Semantic Computational Modeling. The Mastrave project. http://mastrave.org/doc/MTV-1.012-1
[28] de Rigo, D., (exp.) 2012. Semantic array programming for environmental modelling: application of the Mastrave library. In prep.
[29] Bosco, C., de Rigo, D., Dewitte, O., Poesen, J., Panagos, P.: Modelling Soil Erosion at European Scale. Towards Harmonization and Reproducibility. In prep.
[30] R Development Core Team, 2005. R: A language and environment for statistical computing. R Foundation for Statistical Computing.
[31] Stallman, R. M., 2009. Viewpoint: Why “open source” misses the point of free software. Commun. ACM 52 (6), 31–33. DOI:10.1145/1516046.1516058
[32] de Rigo, D. 2011. Multi-dimensional weighted median: the module "wmedian" of the Mastrave modelling library. Mastrave project technical report. http://mastrave.org/doc/mtv_m/wmedian
[33] Shakesby, R. A., 2011. Post-wildfire soil erosion in the Mediterranean: Review and future research directions. Earth-Science Reviews 105 (3-4), 71-100. DOI:10.1016/j.earscirev.2011.01.001
[34] Zuazo, V. H., Pleguezuelo, C. R., 2009. Soil-Erosion and runoff prevention by plant covers: A review. In: Lichtfouse, E., Navarrete, M., Debaeke, P Véronique, S., Alberola, C. (Eds.), Sustainable Agriculture. Springer Netherlands, pp. 785-811. DOI:10.1007/978-90-481-2666-8_48This is the authors’ version of the work. It is based on a poster presented at the Wageningen Conference on Applied Soil Science,
http://www.wageningensoilmeeting.wur.nl/UK
Replication of Vul & Pashler (Psych Science, 2008)
No full textHigh powered, pre-registered replication study of the crowd within effect (Vul & Pashler, 2008), reported in Steegen, S., Dewitte, L., Tuerlinckx, F., & Vanpaemel, W. (2014). Measuring the crowd within again: a pre-registered replication study. Frontiers in Psychology, 5, 786
Replication of Vul & Pashler (Psych Science, 2008)
No full textHigh powered, pre-registered replication study of the crowd within effect (Vul & Pashler, 2008), reported in Steegen, S., Dewitte, L., Tuerlinckx, F., & Vanpaemel, W. (2014). Measuring the crowd within again: a pre-registered replication study. Frontiers in Psychology, 5, 786
- …
