Relevant bibliographies by topics / Short- to medium- range

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Short- to medium- range'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Short- to medium- range"

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Schlenz, H., S. Rings, M. Schmücker, K. Schulmeister, W. Mader, A. Kirfel, and J. Neuefeind. "Short-range and medium-range order in amorphous barium germanate." Journal of Non-Crystalline Solids 320, no. 1-3 (June 2003): 133–42. http://dx.doi.org/10.1016/s0022-3093(03)00026-7.

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Hou, Zhao-Yang, Li-Xia Liu, Rang-Su Liu, Ze-An Tian, and Jin-Guo Wang. "Short-range and medium-range order in Ca7Mg3 metallic glass." Journal of Applied Physics 107, no. 8 (April 15, 2010): 083511. http://dx.doi.org/10.1063/1.3357304.

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Babaev, A. A. "Short- and medium-range order in disordered systems." Bulletin of the Russian Academy of Sciences: Physics 74, no. 5 (May 2010): 677–79. http://dx.doi.org/10.3103/s1062873810050266.

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Majid, M., J. Purans, S. Bénazeth, and C. Souleau. "Short and Medium Range Order in Se1-xTexGlasses." Le Journal de Physique IV 7, no. C2 (April 1997): C2–999—C2–1000. http://dx.doi.org/10.1051/jp4:19972114.

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TORIKAI, Tsuruo. "Some aspects for short-medium range transport aircraft." Journal of the Japan Society for Aeronautical and Space Sciences 34, no. 394 (1986): 571–80. http://dx.doi.org/10.2322/jjsass1969.34.571.

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Halm, Th, J. Nomssi Nzali, W. Hoyer, R. P. May, and M. Bionducci. "Short-range and medium-range order in molten Ga–Tl alloys." Journal of Non-Crystalline Solids 293-295 (November 2001): 182–86. http://dx.doi.org/10.1016/s0022-3093(01)00669-x.

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Hou, Zhao-Yang, Li-Xia Liu, Rang-Su Liu, Ze-An Tian, and Jin-Guo Wang. "Short-range and medium-range order in rapidly quenched Al50Mg50 alloy." Journal of Non-Crystalline Solids 357, no. 5 (March 2011): 1430–36. http://dx.doi.org/10.1016/j.jnoncrysol.2010.11.014.

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Shimono, Masato, and Hidehiro Onodera. "Short-range and medium-range order in supercooled liquids of alloys." Materials Science and Engineering: A 449-451 (March 2007): 717–21. http://dx.doi.org/10.1016/j.msea.2006.02.380.

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Huan-Rong, Wang, Tian Xue-Lei, Teng Xin-Ying, Shi Zhi-Qiang, Ye Yi-Fu, Min Guang-Hui, and QIN Jing-Yu. "Short-Range and Medium-Range Order in Liquid Cu-Ni Alloy." Chinese Physics Letters 19, no. 2 (February 2002): 233–35. http://dx.doi.org/10.1088/0256-307x/19/2/329.

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Hoyer, W., and R. Jödicke. "Short-range and medium-range order in liquid AuGe alloys." Journal of Non-Crystalline Solids 192-193 (December 1995): 102–5. http://dx.doi.org/10.1016/0022-3093(95)00335-5.

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Dissertations / Theses on the topic "Short- to medium- range"

1

Uribe, Edgar M. "Short To Medium Range Hydrometeorological Forecasting In The Rio Grijalva Basin, Mexico." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/195010.

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The Rio Grijalva basin is the most important basin in Mexico in terms of hydropower production and damages related to extreme rainfall events. This study investigates establishing a short- to medium-range hydrometeorological forecasting system for this basin which comprises a hydrological model and a regional Numerical Weather Prediction Model (NWPM). A physical, distributed, hydrological model (MMS-PRMS) is implemented through the following steps: (1) basin parameterization; (2) interfacing to observed meteorological fields, and (3) parameter optimization. The datasets normally used to parameterize the MMS-PRMS are only available in the US so an alternative methodology for deriving parameters from globally available public datasets was devised. Modeled streamflow calculated by model with the initial parameters was in good agreement with observed streamflow, and optimization yielded even better agreement. The predictive capabilities of the hydrological model was then tested by implementing modeled rainfall and temperature from the North American Regional Reanalysis (NARR), these data being used as a surrogate for those that would be available from a regional NWPM. A significant bias in NARR-rainfall was identified and a novel probabilistic correction procedure devised. This procedure was then extended to provide estimates of uncertainty in the modeled streamflow. Within the calculated uncertainty, the modeled streamflow calculated with these corrected NARR data is in good agreement with modeled streamflow calculated using local meteorological data.
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Biegler, R. "Animal short and medium range navigation and its relationship to associative learning." Thesis, University of Edinburgh, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.641607.

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Learning allows organisms to predict and prepare for events in the environment that are not sufficiently regular that responses to each situation could be genetically hardwired. A possible categorization of what can be learned is as follows: First, an animal may learn that an event is likely to happen. This means learning predictive relations between events, or the probability that an event A occurs with an event B, rather than independently. Second, they may form a representation of the magnitude of the event. Third, animals may learn when an event is likely to happen, the temporal relations between events. Fourth, they may acquire knowledge where something will happen, the spatial relations between events. The question arises whether these distinctions are merely convenient labels or reflect genuine differences between dissociable psychological variables and perhaps processes. The most widely accepted account of animal learning, associative learning theory, assumes that information from all these variables is collapsed into only a single output variable: the strength of an associative link. The theoretical framework of associative learning has predominantly been tested and developed within the domain of learning about predictive relationships between events, weighted by event relevance. The requirements for navigation through space are in some respects quite different. Animals can influence the rate and direction of their passage through space. In the two or three dimensions of space shortcuts and detours become possible. The computation of path length may require vector addition. Possible goals of computation will be considered and compared to data on the contents, acquisition and manipulation of spatial representations. The experimental part of this thesis concentrates on two aspects of information acquisition, landmark stability and blocking. Animals appear to weigh information from different sources according to two different and normally opposed criteria, accuracy and reliability. If discrepancy between two such sources is small, more weight will be given to the more accurate source of information, if the discrepancy is large more to the reliable source.
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Takaishi, Daigo. "Studies on the short and medium range structure of lead-containing oxide glasses." 京都大学 (Kyoto University), 2003. http://hdl.handle.net/2433/148872.

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Biegler, Robert. "Short and medium range navigation and its relationship to cognitive mapping and associative learning." Thesis, University of Edinburgh, 1996. http://hdl.handle.net/1842/21590.

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Learning allows organisms to predict and prepare for events in the environment that are not sufficiently regular that responses to each situation could be genetically hardwired. A possible categorization of what can be learned is as follows: First, an animal may learn that an event is likely to happen. This means learning predictive relations between events, or the probability that an event A occurs with an event B, rather than independently. Second, they may form a representation of the magnitude of the event. Third, animals may learn when an event is likely to happen, the temporal relations between events. Fourth, they may acquire knowledge where something will happen, the spatial relations between events. The question arises whether these distinctions are merely convenient labels or reflect genuine differences between dissociable psychological variables and perhaps processes. The most widely accepted account of animal learning, associative learning theory, assumes that information from all these variables is collapsed into only a single output variable: the strength of an associative link. The theoretical framework of associative learning has predominantly been developed and tested within the domain of learning about predictive relationships between events, weighted by event relevance. The requirements for navigation through space are in some respects quite different. Animals can influence the rate and direction of their passage through space. In the two or three dimensions of space shortcuts and detours become possible. The computation of path length may require vector addition. Possible goals of computation will be considered and compared to data on the contents, acquisition and manipulation of spatial representations. The experimental part of this thesis concentrates on two aspects of information acquisition, landmark stability and blocking. Animals appear to weigh information from different sources according to two different and normally opposed criteria, accuracy and reliability. If discrepancy between two such sources is small, more weight will be given to the more accurate source of information, if the discrepancy is large more to the reliable source. The experiments on landmark stability suggest that manipulating discrepancy throughout training will influence animals' estimate of reliability of a source of information. Other manipulations of this estimate, independent from discrepancy, are also possible. The experiments on blocking have not yielded a simple result. Blocking occurs when the animals were trained with one of two landmark arrays; the other array led to an enhancement of performance when testing with the added landmarks. In addition, previous work on the "geometric module" has been extended and a novel weighting of landmarks by position in the array, rather than distance from a goal, has been found. It is argued that there associative learning can play a role in the creation of most possible representations of space, but that some aspects of navigation involve computations which associative learning is not capable of. Further, consideration of the possible functions of navigation suggests that there is no clear dichotomy between mapping and non-mapping strategies. The features of cognitive maps derived from analogy with physical maps do not form an indivisible category. A navigational system may have only some of these properties, depending on what is required of it. The supposed incompatibility of cognitive mapping and associative learning does not exist, both because there are several navigational strategies that could be considered cognitive mapping processes and because associative learning could contribute to most of them.
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Yehudai, Joseph. "A Study of the Relationship between the Intensity of Short-Range and Medium-Range Capacity Management and the Effectivenesss of Manufacturing Operations." Thesis, North Texas State University, 1988. https://digital.library.unt.edu/ark:/67531/metadc331834/.

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The objective of this study was to examine the relationship between intensity of short-range and medium-range capacity management and effectiveness of manufacturing operations. Data were collected to test the null hypothesis which stated that intensity of short-range and medium-range capacity management does not influence manufacturing effectiveness. Intensity of short-range and medium-range capacity management was indicated by the following variables: (1) production standards; (2) priority determination; (3) delivery dates determination; (4) material requirements planning; (5) routing information; (6) capacity utilization; and (7) backlog measurement. Manufacturing effectiveness was indicated by the following variables: (1) delivery dates performance; (2) lead times; (3) subcontract work; (4) direct labor overtime; (5) direct labor efficiency; (6) plant and equipment utilization; and (7) work in process inventory. The population selected to provide data for this study is the manufacturing firms in the State of Texas with five hundred or more employees. Over 42 percent of the eligible firms responded to a six-page questionnaire. Several multivariate techniques were utilized for data analysis: (1) factor analysis; (2) canonical correlation analysis; (3) bivariate correlation; (4) multiple linear regression; (5) cross-tabulation; and (6) analysis of variance. The results of this research did not adequately support the rejection of the null hypothesis. However, they did definitely identify a distinct group of capacity management intensity variables that influence manufacturing effectiveness in specific cases. Intensity variables were placed in three groups that identified how influential they were over the effectiveness measures. The most influential group included the variables: production standards and material requirements planning. The indication for the manufacturing manager is to concentrate on improvements in these areas. Effectiveness variables were also placed in three groups that identified the level at which the variables were influenced by the intensity variables. The highly influenced group included plant and equipment utilization and delivery dates performance.
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Freese, Adam. "Hard QCD Processes in the Nuclear Medium." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2498.

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The environment inside the atomic nucleus is one of the most fascinating arenas for the study of quantum chromodynamics (QCD). The strongly-interacting nature of the nuclear medium affects the nature of both QCD processes and the quark-gluon structure of hadrons, allowing several unique aspects of the strong nuclear force to be investigated in reactions involving nuclear targets. The research presented in this dissertation explores two aspects of nuclear QCD: firstly, the partonic structure of the nucleus itself; and secondly, the use of the nucleus as a micro-laboratory in which QCD processes can be studied. The partonic structure of the nucleus is calculated in this work by deriving and utilizing a convolution formula. The hadronic structure of the nucleus and the quark-gluon structure of its constituent nucleons are taken together to determine the nuclear partonic structure. Light cone descriptions of short range correlations, in terms of both hadronic and partonic structure, are derived and taken into account. Medium modifications of the bound nucleons are accounted for using the color screening model, and QCD evolution is used to connect nuclear partonic structure at vastly different energy scales. The formalism developed for calculating nuclear partonic structure is applied to inclusive dijet production from proton-nucleus collisions at LHC kinematics, and novel predictions are calculated and presented for the dijet cross section. The nucleus is investigated as a micro-laboratory in vector meson photoproduction reactions. In particular, the deuteron is studied in the break-up reaction γd → Vpn, for both the ϕ(1020) and J/ψ vector mesons. The generalized eikonal approximation is utilized, allowing unambiguous separation of the impulse approximation and final state interactions (FSIs). Two peaks or valleys are seen in the angular distribution of the reaction cross section, each of which is due to an FSI between either the proton and neutron, or the produced vector meson and the spectator nucleon. The presence and size of the latter FSI valley/peak contains information about the meson-nucleon interaction, and it is shown that several models of this interaction can be distinguished by measuring the angular distribution for the deuteron breakup reaction.
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Malfait, Wim Jan. "Short- and medium-range order in silicate glasses and melts insights from Raman and NMR spectroscopy and effects on bulk melt properties /." lizenzfrei, 2007. http://e-collection.ethbib.ethz.ch/view/eth:29970.

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Siqueira, Vinícius Alencar. "Previsão de cheias por conjunto em curto a médio prazo: bacia do Taquari-Antas/RS." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2015. http://hdl.handle.net/10183/147137.

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A previsão hidrológica possibilita a identificação antecipada de eventos de cheia potencialmente causadores de inundação, o que é de grande importância para a atuação de entidades como a Defesa Civil. Quando se deseja estender a antecedência no tempo em relação a estes eventos, principalmente nos casos onde a bacia de interesse é relativamente rápida, torna-se necessária a incorporação de previsões quantitativas de precipitação (QPF) na modelagem hidrológica, as quais podem ser obtidas a partir de modelos numéricos de previsão do tempo. Entretanto, a falta de acurácia atribuída a estas previsões de chuva, dadas de forma determinística, vem promovendo sua substituição por sistemas de previsão meteorológica por conjunto (EPS - Ensemble Prediction Systems), cuja finalidade é a geração de possíveis estados futuros da atmosfera para considerar as incertezas associadas ao seu estado inicial e às deficiências na representação física dos modelos de previsão do tempo. Neste contexto, o presente estudo teve por objetivo avaliar uma metodologia de previsão de cheias por conjunto na bacia do Taquari-Antas/RS até a cidade de Encantado (19.000 km²), localizada na região Sul do Brasil. Para tanto, foi utilizado o modelo hidrológico MGB-IPH acoplado a diferentes sistemas de previsão, sendo eles: (i) EPS Regional ETA, de curto prazo (até 72 horas) com 5 membros de diferentes parametrizações; (ii) EPS Global ECMWF de médio prazo (até 10 dias) com 50 membros de condições iniciais perturbadas, incluindo perturbação estocástica nos parâmetros de ajuste do modelo e; (iii) Previsão Determinística do Modelo Regional ETA (até 7 dias). A avaliação das previsões consistiu em dois hindcastings distintos, envolvendo uma análise visual de eventos singulares ocorridos em 06/06/2014 e 21/07/2011 além de uma análise estatística no período de Mar/2014 - Nov/2014. Durante a análise visual foi possível identificar, a partir de antecedências de 5 a 6 dias, uma persistência na previsão dada pelo crescente número de membros do conjunto de médio prazo (ECMWF) com superação dos limiares de referência, na medida em que se aproximavam os eventos de cheia. Apesar da grande incerteza na magnitude das previsões hidrológicas para o conjunto de curto prazo, a vazão máxima foi relativamente bem prevista por pelo menos 1 membro em quase todas as antecedências, enquanto que a previsão do timing dos eventos foi considerada de boa confiabilidade. Durante a avaliação estatística foi possível notar uma falta de espalhamento nos conjuntos, com tendência de subestimativa de acordo com o aumento da antecedência. Em uma comparação com previsões determinísticas, as previsões por conjunto demonstraram maior acurácia principalmente até 72 horas de antecedência, com destaque para a maior probabilidade de detecção dos limiares de referência e manutenção de falso alarme a níveis reduzidos. Além disso, verificou-se também que a agregação de previsões efetuadas em tempo anterior naquelas atuais acarreta em ligeira ampliação do espalhamento do conjunto e maiores probabilidades de detecção dos limiares de alerta para os membros mais elevados, apesar da redução no desempenho em termos de acurácia e viés. De forma geral, as previsões por conjunto apresentam potencial para servir como uma informação complementar em sistemas de alerta contra cheias, possibilitando uma melhor preparação dos agentes envolvidos durante a ocorrência destes eventos.
Hydrological forecasting plays an important role for issuing flood warnings, allowing for anticipation and better preparation of authorities at the occurrence of such events. In order to extend lead time in a flood forecast, especially when the catchment response time is relatively fast, it may be useful to couple a hydrological model to quantitative precipitation forecasts (QPF), usually obtained directly from numerical weather prediction (NWP). However, deterministic (i.e. single) QPF are usually referred to many errors and lack of accuracy, mainly caused by uncertainties on initial state of the atmosphere and on physical representation of weather forecasting models. To address these shortcomings, it becomes necessary to take into account the uncertainties associated to rain forecasts, which can be represented by Ensemble Prediction Systems (EPS). The purpose of such systems is to provide different trajectories of the atmosphere by perturbations on its initial condition and on parameterization schemes of the models, generating an ensemble of forecasts that can be used as input to hydrological modelling (HEPS). In this context, the present study aimed to assess a methodology of ensemble flood forecasting on Taquari-Antas basin up to the city of Encantado/RS (19.000 km²), located in southern Brazil. Therefore, the hydrological model MGB-IPH was coupled to different forecasting systems: (i) Short Range EPS ETA (up to 72 hours), a regional model with 5 members of different parameterization schemes; (ii) Medium Range EPS ECMWF (up to 10 days), a global model with 50 members of perturbed initial conditions and stochastic perturbation in the model parameters; (iii) Deterministic ETA Model (up to 7 days). The forecasts were evaluated by two different hindcastings, which includes a visual assessment of singular events occurred on 2011 and 2014 and a statistical analysis for the period between Mar/2014 and Nov/2014. It was possible to identify a forecast persistence on medium-range for the selected events, by the increasing number of members exceeding the reference thresholds from lead times up to 5 - 6 days. On the short range, although large uncertainties in the magnitude of hydrological forecasts were found, the peak discharge was well forecasted - at least for a single member - in nearly all lead times, whereas the prediction of the peak timing was considered reliable. Regarding to statistical evaluation, an inadequate spread in the ensemble was observed from short- to medium-range, with a tendency of underestimation for longer lead times. In a comparison with deterministic forecasts, the ensemble forecasts showed higher accuracy especially up to 72 hours in advance, including highlights on greater probability of detection (POD) above the reference thresholds even with low false alarm rates. It also was found that the a combination of previous forecasts on the recent ones leads to a slight increase of ensemble spread and POD for higher members, despite the performance reduction in terms of accuracy and bias. In summary, the hydrological ensemble forecasts demonstrated a good potential to serve as an additional information within a Flood Alert System.
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Acar, Recep Serdar. "Tracking Short-range Ballistic Targets." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613604/index.pdf.

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The trajectories of ballistic targets are determined significantly by the characteristics that are specific to them. In this thesis, these characteristics are presented and a set of algorithms in order to track short-range ballistic targets are given. Firstly, motion and measurement models for the ballistic targets are formed and then four different filtering techniques are built on these models which are the extended Kalman filter, the unscented Kalman filter, the particle filter and the marginalized particle filter. The performances of these filters are evaluated by making Monte Carlo simulation. The simulations are run using target scenarios obtained according to six degrees-of-freedom trajectory for ballistic targets. Apart from the tracking errors of the filters, drag parameter estimations and the effect of drift calculation on the filter performances are investigated. The estimation results obtained by each filter are discussed in detail by making various simulations.
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Bilgin, Ozan Ozgun. "Short Range Thrusting Projectile Tracking." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614609/index.pdf.

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Short range thrusting projectiles are one of the various threats against armored vehicles and helicopters on the battlefield. Developing a countermeasure for this kind of projectiles is very crucial since they are vast in number and easy to operate on the battlefield. A countermeasure may consist of fire point prediction of the projectile and attack the launcher of it, or it may be the impact point prediction of the projectile and apply a hard-kill counter measure on its way to the ally target. For both of the countermeasure concepts, dynamics and parameters of the projectile must be estimated precisely. In this thesis, dynamic models for thrusting and ballistic flight modes of thrusting projectile are obtained. Three different tracking filters are suggested for precise tracking of the projectiles and their estimation performances are compared. These filters are the Extended Kalman Filter (EKF), the Particle Filter (PF) and the Marginalized Particle Filter (MPF).
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Books on the topic "Short- to medium- range"

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Cosma, Calin. Crosshole investigations: Short and medium range seismic tomography. Baden: Nagra, 1987.

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International Symposium on Short and Medium Range Numerical Weather Prediction (1986 Tokyo, Japan). Short- and medium- range numerical weather prediction: Collection of papers presented at the WMO/IUGG NWP Symposium, Tokyo, 4-8 August 1986. Tokyo: Meteorological Society of Japan, 1987.

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Kavehrad, Mohsen, M. I. Sakib Chowdhury, and Zhou Zhou. Short-Range Optical Wireless. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118887691.

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Kraemer, Rolf, and Marcos D. Katz, eds. Short-Range Wireless Communications. Chichester, UK: John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470740125.

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Medium-range weather prediction: The European approach ; the story of the European Centre for Medium-Range Weather Forecasts. New York: Springer, 2006.

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Velʹtishchev, N. F. Mesometeorology and short-range forecasting. Geneva, Switzerland: World Meteorological Organization, 1990.

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Barrick, Nettie J. OASDI short-range sensitivity analysis. [Washington, D.C.?]: Social Security Administration, Office of the Chief Actuary, 1996.

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Silver, Corrinne. Long- and short-range planning. [Chicago, Ill.]: Illinois Library Trustee Association, 1987.

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Barrick, Nettie J. OASDI short-range sensitivity analysis. [Washington, D.C.?]: Social Security Administration, Office of the Chief Actuary, 1996.

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Barrick, Nettie J. OASDI short-range sensitivity analysis. [Washington, D.C.?]: Social Security Administration, Office of the Chief Actuary, 1996.

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Book chapters on the topic "Short- to medium- range"

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Wang, Y., and K. Murase. "Short- and Medium-Range Order in Ge-(S, Se) Glasses Using Raman Scattering." In Properties and Applications of Amorphous Materials, 13–24. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0914-0_2.

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Legein, Christophe, Monique Body, Jean-Yves Buzaré, Charlotte Martineau, and Gilles Silly. "Probing Short and Medium Range Order in Al-based Fluorides using High Resolution Solid State Nuclear Magnetic Resonance and Parameter Modelling." In Functionalized Inorganic Fluorides, 141–74. Chichester, UK: John Wiley & Sons, Ltd, 2010. http://dx.doi.org/10.1002/9780470660768.ch5.

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Gusev, Alexandr I., Andrej A. Rempel, and Andreas J. Magerl. "Short-Range Order." In Disorder and Order in Strongly Nonstoichiometric Compounds, 113–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04582-4_4.

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Doswell, C. A. "Short-Range Forecasting." In Mesoscale Meteorology and Forecasting, 689–719. Boston, MA: American Meteorological Society, 1986. http://dx.doi.org/10.1007/978-1-935704-20-1_29.

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Doukhan, Paul. "Short-Range Dependence." In Stochastic Models for Time Series, 205–24. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76938-7_11.

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Hintenaus, Peter. "Short-Range Radar." In Engineering Embedded Systems, 265–84. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10680-9_10.

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Rosenblatt, Murray. "Short Range and Long Range Dependence." In Asymptotic Laws and Methods in Stochastics, 283–94. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-3076-0_15.

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Eyre, E. C., and Richard Pettinger. "Short-range and long-range forecasting." In Mastering Basic Management, 34–43. London: Macmillan Education UK, 1999. http://dx.doi.org/10.1007/978-1-349-15056-4_5.

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Donaldson, T. H. "Short, Medium or Bust." In Thinking about Credit, 97–121. London: Palgrave Macmillan UK, 1988. http://dx.doi.org/10.1007/978-1-349-19279-3_6.

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Yafaev, Dmitri R. "Short-range interactions. Miscellaneous." In Lecture Notes in Mathematics, 24–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/bfb0105534.

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Conference papers on the topic "Short- to medium- range"

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Barabashov, B. "Evaluation of short and medium-range ionospheric radiopaths." In 11th International Conference on Antennas and Propagation (ICAP 2001). IEE, 2001. http://dx.doi.org/10.1049/cp:20010261.

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Essen, H., H. H. Fuchs, D. Nötel, F. Klöppel, P. Pergande, and S. Stanko. "Passive millimeter-wave imaging at short and medium range." In European Symposium on Optics and Photonics for Defence and Security, edited by David H. Titterton, Sean M. Kirkpatrick, Razvan Stoian, Roger Appleby, J. Martyn Chamberlain, and Keith A. Krapels. SPIE, 2005. http://dx.doi.org/10.1117/12.627956.

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Beraldin, J. A., Francois Blais, Marc Rioux, Luc Cournoyer, Denis G. Laurin, and Steve G. MacLean. "Short- and medium-range 3D sensing for space applications." In AeroSense '97, edited by Stephen K. Park and Richard D. Juday. SPIE, 1997. http://dx.doi.org/10.1117/12.280635.

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Brassington, Gary B., Adrian Hines, Eric Dombrowsky, Shiro Ishizaki, Frank Bub, and Mark Ignaszewsk. "Short- to Medium-Range Ocean Forecasts: Delivery and Observational Requirements." In OceanObs'09: Sustained Ocean Observations and Information for Society. European Space Agency, 2010. http://dx.doi.org/10.5270/oceanobs09.pp.08.

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Johansson, Ingvar H. "Sensor Configuration For A Short To Medium Range Reconnaissance Pod." In 30th Annual Technical Symposium, edited by Paul A. Henkel and Francis R. LaGesse. SPIE, 1987. http://dx.doi.org/10.1117/12.936769.

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Alvioli, M., C. Ciofi degli Atti, C. B. Mezzetti, V. Palli, S. Scopetta, L. P. Kaptari, H. Morita, et al. "Short Range Correlations in Medium- and High-Energy Scattering off Nuclei." In SIXTH INTERNATIONAL CONFERENCE ON PERSPECTIVES IN HADRONIC PHYSICS. AIP, 2008. http://dx.doi.org/10.1063/1.3013057.

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Ravat, Christian J., J. P. Mestre, Christopher J. Rose, and M. Schorter. "Radar-optronic tracking experiment for short- and medium-range aerial combat." In Orlando '91, Orlando, FL, edited by Jack F. Wade and Avi Tuchman. SPIE, 1991. http://dx.doi.org/10.1117/12.45639.

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Lehner, Stephan, and William Crossley. "Combinatorial Optimization to Include Greener Technologies in a Short-to-Medium Range Commercial Aircraft." In The 26th Congress of ICAS and 8th AIAA ATIO. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-8963.

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Oller, José Antonio. "Chiral Perturbation Theory in the Nuclear Medium Including Both Short and Long Range Interactions." In International Workshop on Effective Field Theories: from the pion to the upsilon. Trieste, Italy: Sissa Medialab, 2009. http://dx.doi.org/10.22323/1.069.0049.

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Llorente, Roberto, Maria Morant, David Garcia-Rodriguez, and Juan Luis Corral. "Spatial division multiplexing in the short and medium range: From the datacenter to the fronthaul." In 2017 19th International Conference on Transparent Optical Networks (ICTON). IEEE, 2017. http://dx.doi.org/10.1109/icton.2017.8024862.

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Reports on the topic "Short- to medium- range"

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Higinbotham, Douglas W., Vasiliy Morozov, Mark Baker, and Florian Hauenstein. 2019-LDRD-12-R: Tagged Short-Range Correlations for Medium to Heavy Ions at an Electron Ion Collider. Office of Scientific and Technical Information (OSTI), March 2020. http://dx.doi.org/10.2172/1602489.

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Ruscher, Paul. Short Range Model for BWS. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada405630.

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Petit, P. A., H. D. Hamilton, and R. L. Elsberry. Medium Range Atmospheric Forecast System: Evaluation Report. Fort Belvoir, VA: Defense Technical Information Center, February 1985. http://dx.doi.org/10.21236/ada155240.

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Petit, P. A., H. D. Hamilton, and R. L. Elsberry. Medium Range Atmospheric Forecast System: Evaluation Plan. Fort Belvoir, VA: Defense Technical Information Center, February 1985. http://dx.doi.org/10.21236/ada155623.

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Hoare, E. G., N. Clarke, S. Slater, and S. Fu. SHORSEN, SHOrt Range SENsing~Short Range Sensing of Vulnerable Road Users Using Ultra-Wideband Radar and Stereo Vision. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0072.

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Maldonado, Stefan L. Leiva, and Mark D. Bowman. Life-Cycle Cost Analysis for Short- and Medium-Span Bridges. Purdue University, 2019. http://dx.doi.org/10.5703/1288284316919.

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Duer, Meytal. Short Range Correlated nucleon pairs in Heavy Nuclei. Office of Scientific and Technical Information (OSTI), December 2018. http://dx.doi.org/10.2172/1498935.

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Bambha, Ray P., Kevin L. Schroder, and Thomas A. Reichardt. Eye safe short range standoff aerosol cloud finder. Office of Scientific and Technical Information (OSTI), February 2005. http://dx.doi.org/10.2172/922078.

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Yen, J. Intentionally Short-Range Communications (ISRC) Exploratory Development Plan. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada253456.

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Cruz Torres, Reynier. Two-Nucleon Short-Range Correlations in Light Nuclei. Office of Scientific and Technical Information (OSTI), June 2020. http://dx.doi.org/10.2172/1614815.

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