Готові списки джерел за темами / Race dynamics

Добірка наукової літератури з теми "Race dynamics"

Автор: Grafiati
Опубліковано: 7 липня 2024
Оновлено: 7 липня 2024

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Зміст

  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій
  6. Звіти організацій

Статті в журналах з теми "Race dynamics":

1

Seid, Nurhussein, Kitessa Gutu, David P. Hodson, Yoseph Alemayehu, Netsanet Bacha, Daniel Mulatu, Ayele Badebo, Mohammed Yesuf, and Mogens Støvring Hovmøller. "First Report of Puccinia striiformis F. Sp. Tritici Race ME2018 in Irrigated Wheat Production in Ethiopia." Scholars International Journal of Chemistry and Material Sciences 7, no. 01 (January 24, 2024): 1–4. http://dx.doi.org/10.36348/sijcms.2024.v07i01.001.

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Stripe rust, caused by Puccinia striiformis f. sp. tritici, is a devastating disease of wheat in Ethiopia and the globe. The disease was dynamic and quite complex with the host (variety and plant spp), the environment, and with the pathogen genetic nature. The genetic alternation or change of a pathogen could affect the resistant population in the area. New race identification helps preparedness for the needs a rise to reduce the possible losses due to the problem. The race analysis dynamics identified three yellow rust races; namely, PstS11, PstS16 and ME2018 and one other unknown new race were the major in recent years but in the 2012-2016 Psts1 and PSTS2 were the dominant once. The new race ME2018 race mixture was increased the risk of stripe race epidemics in the area because it is Yr10-virulence race. So regular monitoring, for early detection and identification of new races was crucial.
2

Huang, Zhipeng, Jinyan Wang, Yaling Zhang, Yongxiang Yao, Lifei Huang, Xueyan Yang, Ling Wang, and Qinghua Pan. "Dynamics of Race Structures of Pyricularia oryzae Populations Across 18 Seasons in Guangdong Province, China." Plant Disease 105, no. 1 (January 2021): 144–48. http://dx.doi.org/10.1094/pdis-07-20-1438-re.

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Rice blast, caused by Pyricularia oryzae, is one of the most damaging fungal diseases affecting rice. Understanding how the pathogen’s race structure varies over time supports the efforts of rice breeders to develop improved cultivars. Here, the race structure of P. oryzae in Guangdong province, China, where rice is cropped twice per year, was assessed over 18 seasons from 1999 through 2008. The analysis was based on the reactions of a panel of seven differential Chinese cultivars to inoculation with a set of 1,248 isolates of P. oryzae in the province. The “total race frequency” parameter ranged from 14.7 to 39.7%, and the “race diversity index” ranged from 0.63 to 0.93. Twelve (ZA63, ZA31, ZA29, ZA21, ZA13, ZA9, ZB30, ZB17, ZB8, ZB2, ZC14, and ZC8) and two (ZD8 and ZD3) races were recognized as specific to indica and japonica rice types, respectively. Of the 59 distinct races identified, only two indica type races (ZC13 and ZC15) were identified as population-common, and nine indica type races (ZB1, ZB5, ZB6, ZB7, ZB13, ZB15, ZC5, ZC13, and ZC15) and one japonica type race (ZG1) were deemed to be population-dominant; the “total top two race isolate frequency” parameter ranged from 29.8 to 74.5%. On the host side, dynamics of resistance structures of the differential set were divided into three patterns: Both Tetep and Kanto 51 expressed the highest and most stable resistance, both Sifeng 43 and Lijiangxintuanheigu conveyed much lower and unstable resistance, and Zhenlong 13, Dongnong 363, and Heijiang 18 performed intermediate and seasonally dynamic resistance. Three interesting points distinguishing race structures of P. oryzae populations in southern and northeastern China were also discussed. [Formula: see text] Copyright © 2021 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .
3

Andrivon, D. "Race structure and dynamics in populations of Phytophthora infestans." Canadian Journal of Botany 72, no. 11 (November 1, 1994): 1681–87. http://dx.doi.org/10.1139/b94-206.

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The structure and dynamics of races of the potato late blight pathogen Phytophthora infestans in several populations collected worldwide during 1966–1993 were investigated using mathematical estimates of phenotypic diversity (Shannon and Rogers indices) and of virulence complexity. As expected, the highest diversity of races was found in central Mexico, whereas European and other American populations had consistently lower numbers of races and were usually dominated by one or a few phenotypes. Rogers indices were generally close to 0.5 when calculated for populations collected over successive years from the same area and for populations from neighbouring regions collected at the same period of time, indicating that some geographical and temporal structuring was the rule. This is consistent with a metapopulation structure for P. infestans and provides evidence for evolutionary patterns driven by founder effects. The mean number of virulence genes per race was highly variable among populations. Unnecessary virulences were frequent in most if not all populations. In all populations investigated, the rarest virulence genes were found in highly complex races, indicating a predominant influence of mutation events on race evolution. Key words: potato, late blight, virulence, diversity, complexity, population structure.
4

Zhang, Yaling, Jinyan Wang, Yongxiang Yao, Xuehui Jin, James Correll, Ling Wang, and Qinghua Pan. "Dynamics of Race Structures of the Rice Blast Pathogen Population in Heilongjiang Province, China From 2006 Through 2015." Plant Disease 103, no. 11 (November 2019): 2759–63. http://dx.doi.org/10.1094/pdis-10-18-1741-re.

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Rice blast caused by the fungus Magnaporthe oryzae is one of the most destructive diseases of rice. Its control through the deployment of host resistance genes would be facilitated by understanding the pathogen’s race structure. Here, dynamics of race structures in this decade in Heilongjiang province were characterized by Chinese differential cultivars. Two patterns of dynamics of the race structures emerged: both race diversity and population-specific races increased gradually between 2006 and 2011, but they increased much more sharply between 2011 and 2015, with concomitant falls in both the population-common races and dominant races. Four races (ZD1, ZD3, ZD5, and ZE1) were among the top three dominant races over the whole period, indicating that the core of the race structure remained stable through this decade. On the host side, the composition of resistance in the cultivar differential set could be divided in two: the three indica-type entries of the differential set expressed a higher level of resistance to the population of M. oryzae isolates tested than did the four japonica-type entries. The cultivars Tetep and Zhenlong 13 as well as two additional resistance genes α and ε were confirmed as the most promising donors of blast resistance for the local rice improvement programs. [Formula: see text]Copyright © 2019 The Author(s). This is an open-access article distributed under the CC BY-NC-ND 4.0 International license .
5

Gómez, Pedro, Ben Ashby, and Angus Buckling. "Population mixing promotes arms race host–parasite coevolution." Proceedings of the Royal Society B: Biological Sciences 282, no. 1798 (January 7, 2015): 20142297. http://dx.doi.org/10.1098/rspb.2014.2297.

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The consequences of host–parasite coevolution are highly contingent on the qualitative coevolutionary dynamics: whether selection fluctuates (fluctuating selection dynamic; FSD), or is directional towards increasing infectivity/resistance (arms race dynamic; ARD). Both genetics and ecology can play an important role in determining whether coevolution follows FSD or ARD, but the ecological conditions under which FSD shifts to ARD, and vice versa, are not well understood. The degree of population mixing is thought to increase host exposure to parasites, hence selecting for greater resistance and infectivity ranges, and we hypothesize this promotes ARD. We tested this by coevolving bacteria and viruses in soil microcosms and found that population mixing shifted bacteria–virus coevolution from FSD to ARD. A simple theoretical model produced qualitatively similar results, showing that mechanisms that increase host exposure to parasites tend to push dynamics towards ARD. The shift from FSD to ARD with increased population mixing may help to explain variation in coevolutionary dynamics between different host–parasite systems, and more specifically the observed discrepancies between laboratory and field bacteria–virus coevolutionary studies.
6

Jin, Y. "Races of Puccinia graminis Identified in the United States During 2003." Plant Disease 89, no. 10 (October 2005): 1125–27. http://dx.doi.org/10.1094/pd-89-1125.

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Stem rust of small grain cereals, caused by Puccinia graminis, is a major disease of wheat, barley, and oat. In order to effectively utilize stem rust resistance in the improvement of small grain cereals, it is necessary to monitor the virulence composition and dynamics in the stem rust population. Races of P. graminis from barberry, wheat, barley, and oat were surveyed across the United States during 2003. Aecial infections on barberry were primarily due to P. graminis f. sp. secalis, as inoculations using aeciospores failed to produce infection on wheat and oat. Race QFCS of P. graminis f. sp. tritici was the most common race identified from wheat and barley. Race QFCS has virulence on stem rust resistance genes Sr5, 8a, 9a, 9d, 9g, 10, 17, and 21 that are used for race identification. Race TTTT was identified in 2003. This race possesses virulence to all 16 stem rust resistance genes present in the wheat stem rust differentials and should be targeted in breeding for stem rust resistance. Race QFCN appeared to be a new race in the U.S. stem rust population. Races QCCJ and MCCF were identified, but at low frequencies. Seven races of P. graminis f. sp. avenae were identified from oat, and races NA-27, NA-29, and NA-67 were the predominant races. Race NA-76 was identified for the first time in the United States.
7

Donaghy, Kieran P. "Arms Race Dynamics and Economic Stability." Conflict Management and Peace Science 14, no. 1 (February 1995): 49–75. http://dx.doi.org/10.1177/073889429501400103.

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8

Ausubel, Jesse H. "Rat-race dynamics and crazy companies." Technological Forecasting and Social Change 39, no. 1-2 (March 1991): 11–22. http://dx.doi.org/10.1016/0040-1625(91)90025-b.

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9

MCPHERSON, LIONEL K. "Deflating ‘Race’." Journal of the American Philosophical Association 1, no. 4 (2015): 674–93. http://dx.doi.org/10.1017/apa.2015.19.

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ABSTRACT:‘Race’ has long searched for a stable, suitable idea, with no consensus on a master meaning in sight. What I call deflationary pluralism about the existence of race recognizes that various meanings may be true as far as they go but avoids murky disputes over whether there are races in some sense. Once we have rejected the notion that racial essences yield innate cognitive differences, there is little point to arguing over the race idea. In its place, I propose the idea of socioancestry, which jettisons racial thinking yet recognizes the social dynamics of color. For example, Black Americans, many of whom have traceable non-African ancestry, constitute an Africa-identified, socioancestrally black subgroup. ‘Race’ talk is not needed to sustain legitimate color-conscious approaches to social identity and social justice. Long-standing fixation on the race idea has obscured the simple truth that visible continental ancestry is the root of the social reality of color consciousness.
10

Byng, Michelle D. "RACE KNOWLEDGE." Du Bois Review: Social Science Research on Race 14, no. 1 (2017): 273–93. http://dx.doi.org/10.1017/s1742058x17000042.

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AbstractThis analysis addresses race knowledge or the connection between race identity and the ability to designate what is socially legitimate. It problematizes race inequality in light of neoliberal, post-Civil Rights racial reforms. Using qualitative data from interviews with second-generation Muslim Americans, the analysis maps their understanding of the racialized social legitimacy of Brown, Black, and White identities. Findings address how racial hierarchy is organized by racial neoliberalism and the persistence of White supremacy. They show that White racial dominance continues in spite of claims of post-racialism. Moreover, second-generation Muslim Americans position their Brown and Black racial identity as subordinate to White racial identity, but Brown and Black races are different rather than hierarchically positioned in reference to one another. The respondents bring neoliberal globalism as well as U.S. racial dynamics to bear on their understandings of racial hierarchy and racialized social legitimacy.
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Також вас можуть зацікавити розширені добірки на тему "Race dynamics" для конкретних типів джерел:
Статті в журналах Дисертації Книги

Дисертації з теми "Race dynamics":

1

Chrstos, Jeffrey P. "Use of vehicle dynamics modeling to quantify race car handling behavior /." The Ohio State University, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488204276531222.

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2

Bell, Rachel Elisabeth. "Insider/outsider : Sargent Claude Johnson and the dynamics of race and locality." Thesis, University of Reading, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408090.

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3

Woodford, Shawn Robert. "Race against annihilation : the dynamics of American nuclear weapons development, 1945-1958." Thesis, King's College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.412582.

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4

Williams, Lisa Marie. "Interactional Inequalities at Work: The Influences of Compositional Dynamics and the Organizational Context." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1274096009.

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5

Platt, Lucinda. "The experience of poverty : welfare dynamics among children of different ethnic groups." Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365527.

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6

Veneri, Matteo. "Minimum-lap-time of race vehicles." Doctoral thesis, Università degli studi di Padova, 2019. http://hdl.handle.net/11577/3425794.

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This work deals with the numerical-optimisation methods employed for assessing the minimum-lap-time of race vehicles. A particular emphasis is given to the simulations based on the solution of an optimal-control problem. First, a detailed review is devoted to the optimal-control theory, including direct and indirect methods, together with explicit and implicit formulations. Three vehicle models are proposed for the implementation in steady-state and dynamic simulations. A steady-state double-track race-car model is presented first, implementing aerodynamic forces, Pacejka-based tyre model, fixed brake-ratio and steady-state lateral-load transfer. This model is then extended including the transient effects for the implementation in a dynamic minimum-time simulation. An essential but comprehensive steady-state motorcycle model is also presented, retaining the peculiar aspects of the motorcycle dynamics, such as the wheelie and stoppie conditions, while assuming the optimal braking-bias. Then, an optimisation program is developed for computing the race car g-g envelope. A different approach is shown for the steady-state motorcycle model, which is employed for computing the g-g diagrams analytically. Finally, the most widespread minimum-lap-time simulations are discussed and developed for the presented models, including a quasi-steady-state fixed-trajectory apex-finding approach and a quasi-steady-state fixed-trajectory optimal-control simulation. In addition, a novel approach that combines a steady-state vehicle model with the trajectory optimisation is presented and compared to the discussed simulations. This approach builds upon the formulation of an optimal-control problem and employs the g-g diagrams for limiting the vehicle performance. The results are employed for a sensitivity analysis, that underlines the effect of different parameters on the resulting race line. A dynamic race car model is also implemented in a free-trajectory optimal-control simulation. This program is employed for analysing the effect of different steering geometries on the vehicle performance in different test manoeuvres and during a track lap.
7

Ni, Lihong, and 倪莉紅. "Modeling vaccination for pandemic influenza: implication of the race between pandemic dynamics and vaccineproduction." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B40687430.

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8

Ni, Lihong. "Modeling vaccination for pandemic influenza implication of the race between pandemic dynamics and vaccine production /." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B40687430.

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9

Jones, Diana. "Postcolonial concerns : gender, race and the dynamics of representation in six novels by Alin Laubreaux /." [St Lucia, Qld.], 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16320.pdf.

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10

Eiler, Brian A. "The Behavioral Dynamics of Shooter Bias in Virtual Reality: The Role of Race, Armed Status, and Distance on Threat Perception and Shooting Dynamics." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511798377909988.

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Книги з теми "Race dynamics":

1

Milliken, William F. Race car vehicle dynamics. Warrendale, PA, U.S.A: SAE International, 1995.

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2

Metz, L. Daniel. Race car vehicle dynamics workbook. Warrendale, Pa: SAE International, 1998.

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3

Cox, Oliver Cromwell. Race relations: Elements and social dynamics. New Smyrna Beach, Fla: Wayne State University Press, 2008.

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4

Cox, Oliver Cromwell. Race: A study in social dynamics. New York: Monthly Review Press, 2000.

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5

Milliken, Douglas L. Race Car Vehicle Dynamics: Problems, Answers and Experiments. USA: SAE International, 2003.

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6

Bryan, Bill. A sourcebook of arrest and sentencing dynamics by race. Austin, Tex: Criminal Justice Policy Council, 1994.

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7

1944-, Afshar Haleh, and Maynard Mary 1950-, eds. The dynamics of "race" and gender: Some feminist interventions. London: Taylor & Francis, 1994.

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8

Maher, Frances A. The feminist classroom: Dynamics of gender, race, and privilege. Lanham, MD: Rowman & Littlefield, 2001.

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9

1942-, Gleditsch Nils Petter, and Njølstad Olav, eds. Arms races: Technological and political dynamics. Oslo: International Peace Research Institute, 1990.

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10

Albrecht, Ulrich. The role of military R&D in arms race dynamics. Yokohama, Japan: PRIME (International Peace Research Institute Meigaku), 1988.

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Частини книг з теми "Race dynamics":

1

Brookfield, Stephen D. "The Dynamics of Teaching Race." In Teaching Race, 1–17. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119548492.ch1.

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2

Guiggiani, Massimo. "Handling of Race Cars." In The Science of Vehicle Dynamics, 323–75. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73220-6_7.

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3

Guiggiani, Massimo. "Handling of Race Cars." In The Science of Vehicle Dynamics, 203–33. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-8533-4_7.

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4

Guiggiani, Massimo. "Handling of Race Cars." In The Science of Vehicle Dynamics, 355–414. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06461-6_8.

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5

Pütz, Ralph, and Ton Serné. "Simulation of the Handling Dynamics." In Race Car Handling Optimization, 313–36. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-35200-4_10.

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6

Frömmig, Lars. "Driving Dynamics Basics." In Basic Course in Race Car Technology, 89–140. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-38470-8_5.

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7

Sobande, Francesca. "“Intersectional Digital Dynamics and Profiled Black Celebrities”." In Surveillance, Race, Culture, 171–87. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77938-6_9.

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8

Solomos, John. "The Changing Dynamics of Race and Racism." In Race and Racism in Britain, 233–48. London: Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-22911-6_12.

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9

Drwecki, Brian Blake. "Race and Pain: A Dual Injustice." In Social and Interpersonal Dynamics in Pain, 455–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78340-6_21.

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10

Davis, Karina, Glenda Mac Naughton, and Kylie Smith. "The Dynamics of Whiteness: Children Locating Within/Without." In "Race" and Early Childhood Education, 49–65. New York: Palgrave Macmillan US, 2009. http://dx.doi.org/10.1057/9780230623750_4.

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Тези доповідей конференцій з теми "Race dynamics":

1

Blanchini, Franco, Daniele Casagrande, Giulia Giordano, and Umberto Viaro. "Properties of switching-dynamics race models." In 2015 European Control Conference (ECC). IEEE, 2015. http://dx.doi.org/10.1109/ecc.2015.7330978.

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2

Suansook, Yoothana. "Dynamics of arms race model at fractional order." In 2015 Asian Conference on Defence Technology (ACDT). IEEE, 2015. http://dx.doi.org/10.1109/acdt.2015.7111603.

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3

Arulanantha Samy, S., T. Shanmuganathan, and J. Godwin John. "Observing the thermodynamic properties in vehicle dynamics of automobiles for improving the ECU performance based on analogy method." In 2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE). IEEE, 2015. http://dx.doi.org/10.1109/race.2015.7097255.

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4

Pinto, Swaroop J., Jingtao Huang, Ignacio Tapia, Ruth M. Bradford, Paul R. Gallagher, Mitchelle E. Pepe, Niyong Y. Lee, Thomas Nixon, and Carole L. Marcus. "EFFECTS OF RACE ON UPPER AIRWAY DYNAMICS IN CHILDREN." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a2197.

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5

Farsoiya, Palas Kumar, Stéphane Popinet, Howard Stone, and Luc Deike. "Poster: A Race of Clean Bubble vs Contaminated Trouble." In 76th Annual Meeting of the APS Division of Fluid Dynamics. American Physical Society, 2023. http://dx.doi.org/10.1103/aps.dfd.2023.gfm.p0044.

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6

Ma, Ji, Xiaoyu Chen, Yupeng Duan, and Yunqing Zhang. "FSAE Race Car Dynamics and Trajectory Optimization Considering Aerodynamic Effects." In WCX World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2018. http://dx.doi.org/10.4271/2018-01-0821.

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7

Martin, B. T., and E. H. Law. "Development of an Expert System for Race Car Driver & amp; Chassis Diagnostics." In SAE 2002 Automotive Dynamics & Stability Conference and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2002. http://dx.doi.org/10.4271/2002-01-1574.

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8

Hewing, Lukas, Alexander Liniger, and Melanie N. Zeilinger. "Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars." In 2018 17th European Control Conference (ECC). IEEE, 2018. http://dx.doi.org/10.23919/ecc.2018.8550162.

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9

Choe, Bok Seong, Jeon Kook Lee, Doyoung Jeon, and Yongbok Lee. "Numerical Study of Cage Dynamics Focused on Hydrodynamic Effects of Guidance Land Clearances for Different Ball-Pocket Clearances in Cryogenic Environments." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-64151.

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This study presents the dynamic motion of a ball bearing cage submerged in a cryogenic fluid under high-speed conditions. The dynamic motion of the cage has been studied as a function of the race land–cage and ball–cage pocket clearances for different inner race rotation speeds under light load conditions. In addition, this study conducted computational fluid dynamics (CFD) analysis using commercial software to analyze the fluid dynamic forces on the cage. The hydraulic force obtained from the CFD analysis was coded in commercial ball bearing analysis software as a function of the eccentricity ratio and rotation speed of the cage. Finally, the dynamic motion of the ball bearing cage considering the effects of fluid dynamic forces has been studied. The results include the cage whirling amplitude, fluctuation of cage whirling speed, and cage wear for various cage clearances and rotation speeds. The cage outer guidance clearances studied were 1.14, 1.04, 0.94, 0.84, and 0.74 mm and the ball–pocket clearances were 0.62, 0.92, 1.22, 1.52, and 1.82 mm. The rotation speeds of the inner race were 5,000, 8,000, and 11,000 rpm. The cage whirling amplitude decreases as the outer guidance clearance decreases, and it decreases as the rotation speed increases up to 11,000 rpm because of the increasing hydrodynamic force of the liquid nitrogen (LN2). However, the probability density function (PDF) curves indicate that an increase in the rotor speed increases the standard deviation in the cage whirling frequency. The wear loss of the cage was greatest for the largest race land–cage and the smallest ball–cage pocket clearances, owing to the increased number of intermittent collisions between the cage and the ball bearings (ball–race). Consequently, the analysis results for various operating conditions (inner race rotation speeds, cage clearances, traction coefficients, etc.) are in good agreement with the reference results.
10

Braghin, F., S. Melzi, E. Sabbioni, and N. Poerio. "Identification of the Optimal Trajectory for a Race Driver." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48987.

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Due to increasing demands for time and cost efficient vehicle design, numerical simulation of closed loop maneuvers has become more and more important. Therefore the driver has to be included into the modeling. In the literature driver models are generally regarded as controllers acting through throttle-steer-brake inputs on a nonlinear plant (i.e. the vehicle) with the aim to follow a planned trajectory maintaining the vehicle stability. It is thus straightforward to understand that in the case of race driver models, the generation of a proper reference trajectory is essential, since it must allow achieving the minimum lap time with respect of the circuit geometry and of the vehicle dynamic characteristics. The issues concerned with the generation of reference trajectories are ought to: the reciprocal interaction between longitudinal and lateral vehicle dynamics, the driver’s maneuvers and the shape of the circuit. All these information have to be comprehensively analyzed through simplified logics in order to reduce the complexity of the problem. A methodology for identifying the trajectory allowing the minimization of the lap time is proposed in this paper. It splits the analysis into two steps: studying a geometric tool able to generate trajectories as a compromise between minimum space and minimum curvature paths; another one that according to the vehicle dynamic characteristics generates limit curves in order to obtain the speed profile associated to each trajectory. Combining the results of the developed tools the trajectory associated with the minimum lap time can thus be identified.

Звіти організацій з теми "Race dynamics":

1

Aliprantis, Dionissi, Daniel R. Carroll, and Eric R. Young. The Dynamics of the Racial Wealth Gap. Federal Reserve Bank of Cleveland, November 2022. http://dx.doi.org/10.26509/frbc-wp-201918r.

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What drives the dynamics of the racial wealth gap? We answer this question using a dynamic stochastic general equilibrium heterogeneous-agents model. Our calibrated model endogenously produces a racial wealth gap matching that observed in recent decades along with key features of the current cross-sectional distribution of wealth, earnings, intergenerational transfers, and race. Our model predicts that equalizing earnings is by far the most important mechanism for permanently closing the racial wealth gap. One-time wealth transfers have only transitory effects unless they address the racial earnings gap, and return gaps only matter when earnings inequality is reduced.
2

Imbrie, Andrew, Rebecca Gelles, James Dunham, and Catherine Aiken. Contending Frames: Evaluating Rhetorical Dynamics in AI. Center for Security and Emerging Technology, May 2021. http://dx.doi.org/10.51593/20210010.

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The narrative of an artificial intelligence “arms race” among the great powers has become shorthand to describe evolving dynamics in the field. Narratives about AI matter because they reflect and shape public perceptions of the technology. In this issue brief, the second in a series examining rhetorical frames in AI, the authors compare four narrative frames that are prominent in public discourse: AI Competition, Killer Robots, Economic Gold Rush and World Without Work.
3

Berndt, Ernst, and Mark Trusheim. The Information Pharms Race and Competitive Dynamics of Precision Medicine: Insights from Game Theory. Cambridge, MA: National Bureau of Economic Research, November 2017. http://dx.doi.org/10.3386/w24020.

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4

Lee, D. Susie, Natalie Nitsche, and Kieron J. Barclay. From early life BMI to later life childlessness: consistency across race/ethnicity and mediation by union formation dynamics in the US NLSY79 cohort. Rostock: Max Planck Institute for Demographic Research, June 2021. http://dx.doi.org/10.4054/mpidr-wp-2021-012.

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5

Yilmaz, Ihsan, Whisnu Triwibowo, Hasnan Bachtiar, and Greg Barton. Competing Populisms, Digital Technologies and the 2024 Elections in Indonesia. European Center for Populism Studies (ECPS), January 2024. http://dx.doi.org/10.55271/pp0029.

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The upcoming parliamentary and presidential elections in Indonesia on 14 February 2024 are poised to involve over 200 million citizens out of a total population of 285 million. Among these eligible voters, approximately 115 million belong to the millennial or Gen Z demographic. Within this electoral landscape, the presidential race features a diverse array of candidates, where populism plays a significant, albeit not the dominant, role in shaping the campaigns and agendas of three key contenders. This study aims to explore the relationship between various forms of competing populisms and their utilization of digital technologies. It examines how these dynamics intersect with the digital divide, democracy, pluralism, and social cohesion within Indonesia’s electoral framework. Additionally, the paper outlines potential areas for further research in this domain.
6

Obstfeld, Maurice, and Kenneth Rogoff. Exchange Rate Dynamics Redux. Cambridge, MA: National Bureau of Economic Research, April 1994. http://dx.doi.org/10.3386/w4693.

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7

de Macedo, Jorge Braga, and Urho Lempinen. Exchange rate dynamics revisited. Cambridge, MA: National Bureau of Economic Research, December 2013. http://dx.doi.org/10.3386/w19718.

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8

Gourinchas, Pierre-Olivier, and Aaron Tornell. Exchange Rate Dynamics and Learning. Cambridge, MA: National Bureau of Economic Research, April 1996. http://dx.doi.org/10.3386/w5530.

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9

Nishimura, Masatsugu, Yoshitaka Tezuka, Enrico Picotti, Mattia Bruschetta, Francesco Ambrogi, and Toru Yoshii. Study of Rider Model for Motorcycle Racing Simulation. SAE International, January 2020. http://dx.doi.org/10.4271/2019-32-0572.

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Various rider models have been proposed that provide control inputs for the simulation of motorcycle dynamics. However, those models are mostly used to simulate production motorcycles, so they assume that all motions are in the linear region such as those in a constant radius turn. As such, their performance is insufficient for simulating racing motorcycles that experience quick acceleration and braking. Therefore, this study proposes a new rider model for racing simulation that incorporates Nonlinear Model Predictive Control. In developing this model, it was built on the premise that it can cope with running conditions that lose contact with the front wheels or rear wheels so-called "endo" and "wheelie", which often occur during running with large acceleration or deceleration assuming a race. For the control inputs to the vehicle, we incorporated the lateral shift of the rider's center of gravity in addition to the normally used inputs such as the steering angle, throttle position, and braking force. We compared the performance of the new model with that of the conventional model under constant radius cornering and straight braking, as well as complex braking and acceleration in a single (hairpin) corner that represented a racing run. The results showed that the new rider model outperformed the conventional model, especially in the wider range of running speed usable for a simulation. In addition, we compared the simulation results for complex braking and acceleration in a single hairpin corner produced by the new model with data from an actual race and verified that the new model was able to accurately simulate the run of actual MotoGP riders.
10

Evans, Martin D. D., and Richard Lyons. Order Flow and Exchange Rate Dynamics. Cambridge, MA: National Bureau of Economic Research, August 1999. http://dx.doi.org/10.3386/w7317.

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