Academic literature on the topic 'Age Effects'

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Journal articles on the topic "Age Effects"

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Baker, Joseph, Jörg Schorer, and Stephen Cobley. "Relative age effects." Sportwissenschaft 40, no. 1 (January 31, 2010): 26–30. http://dx.doi.org/10.1007/s12662-009-0095-2.

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Booth, Pamela L., Todd Guilfoos, and Emi Uchida. "Endowment Effects and Drinking Water Quality." Agricultural and Resource Economics Review 45, no. 2 (August 2016): 338–66. http://dx.doi.org/10.1017/age.2016.23.

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We conduct a laboratory experiment to test for the existence of the endowment effect—a gap between willingness to accept and willingness to pay—for improved drinking water quality using a within-subject design. We find a statistically significant and positive gap. Willingness to accept is 62 to 125 cents higher than willingness to pay on average, indicating the presence of endowment effects. This gap is robust to information about the quality of water being consumed. We also identify some heterogeneity in the size of the gaps that is associated with differences in subjects' knowledge of drinking water quality and disparities in their incomes.
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Ayiomamitis, A. "Effects of age misstatement." American Journal of Public Health 77, no. 10 (October 1987): 1355–56. http://dx.doi.org/10.2105/ajph.77.10.1355-c.

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Aldersey, J. E., T. S. Sonstegard, J. L. Williams, and C. D. K. Bottema. "Understanding the effects of the bovine POLLED variants." Animal Genetics 51, no. 2 (January 30, 2020): 166–76. http://dx.doi.org/10.1111/age.12915.

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Denić, Dragana, Milica Lukić, Gordana Vuleta, and Snežana Savić. "Effects of anti-age cosmetic products: Claims substantiation." Arhiv za farmaciju 67, no. 3 (2017): 209–19. http://dx.doi.org/10.5937/arhfarm1703209d.

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Countryman, Amanda M., Philip L. Paarlberg, and John G. Lee. "Dynamic Effects of Drought on the U.S. Beef Supply Chain." Agricultural and Resource Economics Review 45, no. 3 (November 21, 2016): 459–84. http://dx.doi.org/10.1017/age.2016.4.

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This research employs an agricultural sector model that links seasonal crop production with disaggregated livestock production sectors, in tandem with observed quarterly data on U.S. drought conditions to assess the long term economic implications of drought for U.S beef cattle producers. Short term impacts show increases in feed costs as well as increases in cattle slaughter resulting from drought-induced culling. The price of live cattle decreases in the short run; however, feed prices remain above baseline levels, and beef cattle breeding inventories decline in the long run, leading to fewer calves moving through the supply chain.
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Lewis, Jason, Kevin Morgan, and Stephen-Mark Cooper. "Relative Age Effects in Welsh Age Grade Rugby Union." International Journal of Sports Science & Coaching 10, no. 5 (October 2015): 797–813. http://dx.doi.org/10.1260/1747-9541.10.5.797.

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Wecker, Nancy S., Joel H. Kramer, Amy Wisniewski, Dean C. Delis, and Edith Kaplan. "Age effects on executive ability." Neuropsychology 14, no. 3 (2000): 409–14. http://dx.doi.org/10.1037/0894-4105.14.3.409.

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Braun, Doris, Alexander C. Schütz, Jutta Billino, and Karl R. Gegenfurtner. "Age effects on saccadic suppression." Journal of Vision 19, no. 10 (September 6, 2019): 146a. http://dx.doi.org/10.1167/19.10.146a.

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Saxe, Friederike, Susann Weichold, Antje Reinecke, Jan Lisec, Anett Döring, Lutz Neumetzler, Ingo Burgert, and Michaela Eder. "Age Effects on Hypocotyl Mechanics." PLOS ONE 11, no. 12 (December 15, 2016): e0167808. http://dx.doi.org/10.1371/journal.pone.0167808.

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Dissertations / Theses on the topic "Age Effects"

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Patil, Parag Ramchandra. "Age related effects of SSRIs." Thesis, University of Nottingham, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.442260.

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Mair, Ali. "Effects of age on autobiographical memory." Thesis, City, University of London, 2017. http://openaccess.city.ac.uk/17395/.

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Six experiments investigate the effects of healthy ageing on autobiographical memory (AM). Previous work in this area has shown that older adults exhibit a deficit in recall of specific episodes from their personal past, yet there is evidence in the literature of exceptions to this rule. As yet, there have been few replications and little systematic exploration of the factors and processes that contribute to age effects in AM. Chapter 1 begins with an examination of age differences in memory for prospectively sampled recent everyday events – an area which, despite the growing interest in AM research, has remained largely unstudied. The results showed similar event memory for younger and older adults, and demonstrated both replicability and dissociation from more typical measures of AM (Experiment 2). Subsequent investigations focused on ways of cueing AM by manipulating the need for generative retrieval processing (Chapter 3), and the effect of increasing experimental control and measuring memory for the same staged event (Chapter 4). On all other tasks older adults performed more poorly than younger adults. However, a reanalysis of the data suggested that younger adults exhibit an elderly-like deficit on measures of memory for mundane, everyday events. Moreover, analysis of semantic memory within autobiographical narratives suggested that older adults recall more temporally abstracted information than younger adults (Chapter 5). The findings are interpreted within a framework which suggests that accumulating experience drives a shift from specific episodic memory representation towards a more abstracted schematic form. A parallel line of research investigated the effect of a wearable camera, SenseCam (SC), on memory for recently experienced events (Experiments 1, 4 and 5). SC use provided a general retrieval benefit, but the effect was the same for both younger and older adults, which supports the notion that poor memory performance in older adults is related to altered memory representation rather than deficient retrieval processes.
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Earles, Julie Lynn. "The effects of environmental context on memory : an examination of age differences." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/28634.

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Keyes, Laura Marie. "Age Friendly Cities: The Bureaucratic Responsiveness Effects on Age Friendly Policy Adoption." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc984140/.

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Challenging a long-held attachment to the medical model, this research develops a cultural model placing local governments at the center of policy making and refocusing policy attention on mobility, housing, the built environment and services. To examine the phenomenon of age friendly policy adoption by cities and the magnitude of adoption, a 21-question web-based survey was administered to a sample of 1,050 cities from the U.S. Census having a population over 10,000 and having at least 14% of their population aged 65 years and over. The goal of the questionnaire was to help identify what kind of policy objectives cities establish to facilitate the opportunity for older adults to live healthy and independent lives in their communities as they age. Multiple linear and ordinal regression models examined the likelihood of policy action by cities and provide evidence as to why some cities support more age friendly policy actions than others. Evidence illustrates theoretical advancement providing support for a cultural model of aging. The cultural model includes multiple factors including bureaucratic responsiveness reflected in the management values of the administration. Findings show variation in the integration of a cultural awareness of aging in the municipality's needs assessment, strategic goals, citizen engagement strategies, and budgetary principles. Cities with a cultural awareness of aging are more likely to adopt age friendly policies. Findings also provide support for the argument that the public administrator is not the driving sole factor in decision making. A shared spaced with mobilized citizen need of individuals 65 and over is identified.
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Eriksson, Martina. "Relative Age Effects among Physically Active Adolescents." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-31061.

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Background: Studies have shown that children and adolescents who are relatively older than their younger peers have advantages in sports, partly because they are more biologically mature, a relative age effect (RAE). However the occurrence of RAE in physical performance is still somewhat unclear and more knowledge is needed. Aim: The aim of this study was to investigate if there were any RAEs on anthropometric measures and physical performance in adolescents who are 13 years old and active in sports. Methods: 128 subjects (78 boys, 50 girls) from Malmö idrottsakademi, a school with a sports profile, were included in this study. Measurements of height and weight were taken and the physical performance was tested for grip strength, sprint and countermovement jump (CMJ). To analyse RAEs the subjects were divided into three groups (teriles) according to their month of birth. Subjects born in Tertile 1 (Jan-Apr) and Tertile 3 (Sep-Dec) were compared together as well as within and between the sexes with independent t-tests. Results: RAEs were present in height (p=0.01), weight (p=0.01), and grip strength (0.03) where higher values were found in the relatively older subjects. Additionally, if weight was accounted for, RAE was present in CMJ where the relatively younger subjects performed better (p=0.03). Further, when sexes was analysed separately the older boys were taller (p=0.01), heavier (p=0.02), and stronger (p=0.05) compared with the younger boys. The older girls were heavier (p=0.01) compared with the younger girls whereas the younger girls got a higher CMJ weight ratio (p=0.05). Conclusion: RAEs were found on anthropometric measures, but were less clear in physical performance. This indicates that although relatively older adolescents are taller and heavier, they are not always in advantage over their younger peers regarding physical performance.
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Haines, Simon J. "Explaining complex age-effects on prospective memory." Phd thesis, Australian Catholic University, 2019. https://acuresearchbank.acu.edu.au/download/4dd53ad08db175e096e25c40d1e7750c905a9c59fd2b663e23c9b1f8048b5c1d/3032541/Haines_2019_Explaining_complex_age-effects_on_prospective.pdf.

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The general aim of this thesis was to investigate complex age-related differences in prospective memory (PM). An extensive review of PM and cognitive ageing (an accepted peer reviewed article for Oxford Research Encyclopedias) was the starting point for identifying key areas of further research in the age-PM field. Specifically, two areas of further research were identified and then investigated empirically in the present research project. First, the need to use conceptually parallel PM task types across settings to illuminate mechanisms of the age-PM paradox was identified. The paradox refers to the general finding that young outperform older adults in the laboratory, but vice versa in naturalistic-settings; and young-old outperform old-old in laboratory but show equivalent levels of performance in naturalistic-setting studies. A second area identified as requiring further empirical investigation was the role of executive functions in mediating age-effects across a wide range of PM tasks. The current research project made a significant contribution to the age-PM literature by undertaking a series of empirical investigations into both of these areas. The first key empirical investigation is related to illuminating the mechanisms of the age-PM paradox. A paper reporting two empirical experiments is presented (which have been submitted to the Journal of Experimental Psychology: General). In Experiment 1, young (19–30 years; n = 40) and older adults (65–86 years; n = 53) were tested on conceptually parallel PM tasks in the laboratory (using the Virtual Week paradigm that simulates naturalistic PM tasks and routine daily activities) and in a naturalistic-setting using a recently developed novel smartphone paradigm, the MEMO. PM tasks were conceptually parallel in terms of the type of cue and inherent level of environmental support afforded by three PM task types: event-based, time-of-day, and time-interval. The latter two time-based tasks were hypothesised to largely account for the age-PM paradox, in particular by not being sufficiently distinguished and investigated separately in previous studies of the age-PM association in performance across settings. In Experiment 1, participants completed two simulated days of Virtual Week with the three PM tasks types embedded, and two separate blocks of three days for the event-based PM (a photo task when particular events were encountered) and two time-based PM tasks (scheduled and “pop up” quizzes, e.g., come back in 10 minutes to open app on phone to complete a quiz). It was found that young adults outperformed older adults in the laboratory, however, in the naturalistic-setting older adults only outperformed younger adults on time-of-day tasks (i.e., appointment like tasks; in this case completing a scheduled quiz), while similar levels of performance were revealed on event-based tasks (relatively high performance) and time-interval tasks (relatively low performance). In Experiment 2 young-old (60–74 years; n = 64) and old-old (75–87 years; n = 40) adults were compared on the same two PM task types. However, this time the naturalistic-setting paradigm, MEMO, was made more challenging, and conceptually closer to Virtual Week, by combining all PM task types over the same three day period. Participants were also permitted to use external aids. The results showed that young-old outperformed old-old in the laboratory, with both age groups showing better performance on event-based than the time-interval tasks (involving monitoring a stop clock in Virtual Week). Together, these experiments show that the age-PM paradox is only apparent when comparing different types of time-based tasks across settings, and that older adults are vulnerable to forgetting delayed intentions over short intervals with relatively few time cues in a naturalistic-setting. However, when permitted to use external aids older adults can compensate for this cognitive vulnerability, and show similar high levels of performance to their own performance on event-based and time-of-day tasks. The second key empirical investigation is related to the generally hypothesised mediating role of facets of executive functioning on age-effects on PM, particularly for putatively high demand tasks. In a very novel study in the age-PM field, for the first time four different PM measures were combined in a single study to investigate individual differences in facets of executive functioning mediating age-effects on PM. The study used a large sample of older adults (n = 104; range 60–87 years) who performed the laboratory paradigm Virtual Week, two clinical measures, the Cambridge Prospective Memory Test (CAMPROMT), and the Memory for Intentions Test (MIST), and the MEMO. The results showed that there were age-effects for the PM measures that presumably had the highest cognitive demands in so far as they do not permit external aids, that is Virtual Week and the MIST (external aids are allowed in the CAMPROMT and in the present study’s use of the MEMO paradigm). Contrary to previous studies using abstract PM paradigms in the laboratory, older adults’ performance on these relatively naturalistic (even familiar) PM task types showed some relationship to retrospective memory processes, processing speed, and age, but virtually no relationship to separable facets of executive functioning. The models tested included both parallel mediation models, in which both executive and non-executive cognitive processes were measured, and a serial mediation model with processing speed hypothesised to impact executive processes which in turn influence PM task performance. The lack of evidence for both these models suggest that PM is a relatively independent functional construct that is affected by age in some circumstances, regardless of individual differences in executive functioning, and is also sometimes independent of both age and executive functioning processes. The present thesis thus indicates potential boundary conditions for both the manifestation of the age-PM paradox and the mediating role of executive functions on age-related changes in PM.
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Manuel, Rhoda. "Effects of target age and participant age on attitude inferences and their accuracy." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0005/MQ42411.pdf.

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Reich, Kerstin. "Exploring age and generation effects in cultural differences." Thesis, Anglia Ruskin University, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420758.

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Watson, F. L. "Word age-of acquisition effects in lexical processing." Thesis, University of Aberdeen, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333077.

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Ristuccia, Robert C. "Age differences in ethanol effects sensitivity and reward /." Diss., Online access via UMI:, 2007.

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Books on the topic "Age Effects"

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Bell, Andrew, ed. Age, Period and Cohort Effects. New York : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429056819.

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Tawa, Renee. Ice age 2: The meltdown. Lincolnwood, Ill: Publications International, 2006.

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Arcidiacono, Peter. Peer effects in medical school. Cambridge, MA: National Bureau of Economic Research, 2002.

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Clinical effects of ageing: A longitudinal study. London: Croom Helm, 1985.

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Law Reform Commission of Hong Kong. Young persons: Effects of age in civil law : report. Hong Kong: Govt. Printer, 1986.

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Laforest, Annie. The effects of age and contextual cues upon recall and the serial position effect curve. Sudbury, Ont: Laurentian University, Department of Psychology, 1998.

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Bradley, Catharine Sara. Assessment and interpretation of age effects in pediatric health data. Ottawa: National Library of Canada, 2003.

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Gielen, Anne C. Age-specific cyclical effects in job reallocation and labor mobility. Bonn, Germany: IZA, 2005.

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Tragic effects: Ethics and tragedy in the age of translation. Columbus: Ohio State University Press, 2012.

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Findlay, Scott. The effects of social competence and age on impulse control. Sudbury, Ont: Laurentian University, Department of Psychology, 1997.

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Book chapters on the topic "Age Effects"

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van Bommel, Wout. "Age Effects." In Interior Lighting, 207–20. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17195-7_8.

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van Bommel, Wout. "Age Effects." In Road Lighting, 83–88. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11466-8_7.

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Lints, Frédéric A. "Parental age effects." In Drosophila as a Model Organism for Ageing Studies, 176–89. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4899-2683-8_14.

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Doblhammer, Gabriele. "Cohort and Age Effects." In Demographic Research Monographs, 105–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-10349-4_6.

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Smith, Herbert L. "Age–period–cohort analysis." In Age, Period and Cohort Effects, 176–205. New York : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429056819-9.

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Fosse, Ethan. "Bayesian age–period–cohort models." In Age, Period and Cohort Effects, 142–75. New York : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9780429056819-8.

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Altman, Claire E. "Age, Period, and Cohort Effects." In Encyclopedia of Migration, 1–4. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-007-6179-7_88-1.

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Valentine, J. L., H. K. Kang, B. Faraji, and P. A. Lachenbruch. "Selenium Status and Age Effects." In Selenium in Biology and Medicine, 286–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74421-1_56.

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Elliott, Delbert S., David Huizinga, and Scott Menard. "Age, Period, and Cohort Effects." In Research in Criminology, 87–117. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4613-9637-6_4.

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Nielsen, Birte L. "Effects of age and treatment." In Asking animals: an introduction to animal behaviour testing, 78–92. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789240603.0078.

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Conference papers on the topic "Age Effects"

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Hu, Wei, Yaoxue Zhang, Yuezhi Zhou, and Chao Wu. "Age Effects in Tagging Communities." In 2013 International Conference on Cloud Computing and Big Data (CloudCom-Asia). IEEE, 2013. http://dx.doi.org/10.1109/cloudcom-asia.2013.35.

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Zhou, QILLEGIBLEing, Stephen W. Rouhana, and John W. Melvin. "Age Effects on Thoracic Injury Tolerance." In 40th Stapp Car Crash Conference (1996). 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1996. http://dx.doi.org/10.4271/962421.

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Nikoloeva, Elena. "Age-Related Effects In Retrieval-Induced Forgetting." In ICPE 2018 - International Conference on Psychology and Education. Cognitive-Crcs, 2018. http://dx.doi.org/10.15405/epsbs.2018.11.02.64.

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Wang, Hee Lin, Jian-Gang Wang, Wei-Yun Yau, Xing Lun Chua, and Yap Peng Tan. "Effects of facial alignment for age estimation." In Vision (ICARCV 2010). IEEE, 2010. http://dx.doi.org/10.1109/icarcv.2010.5707877.

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"Concrete Air Permeability Age Effects on Concrete." In SP-100: Concrete Durability: Proceedings of Katharine and Bryant Mather International Symposium. American Concrete Institute, 1987. http://dx.doi.org/10.14359/1846.

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Foster, E. Terence. "Radial Symmetry Effects in Area Moments of Inertia." In Electrical Transmission in a New Age Conference. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40642(253)29.

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Gong, Hui, Kan Shi, and Dege Liu. "The moderating effects of age stereotypes on the relationship between age and innovative behavior." In 2010 IEEE 2nd Symposium on Web Society (SWS). IEEE, 2010. http://dx.doi.org/10.1109/sws.2010.5607372.

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Dimitrova, Snezhina, Bistra Andreeva, Christoph Gabriel, and Jonas Grünke. "Speaker Age Effects on Prosodic Patterns in Bulgarian." In 9th International Conference on Speech Prosody 2018. ISCA: ISCA, 2018. http://dx.doi.org/10.21437/speechprosody.2018-144.

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Wiebe, Mark, Jason Fotter, Dan Wexler, Panos Zompolas, and Phil Peterson. "Visual effects in the age of the cloud." In SIGGRAPH '18: Special Interest Group on Computer Graphics and Interactive Techniques Conference. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3209621.3214896.

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SANO, YUKO, KAZUHIRO TSUJI, and HAJIME KUROSAWA. "Age Effects Of Breathing Assistance In Healthy Subjects." In American Thoracic Society 2011 International Conference, May 13-18, 2011 • Denver Colorado. American Thoracic Society, 2011. http://dx.doi.org/10.1164/ajrccm-conference.2011.183.1_meetingabstracts.a5053.

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Reports on the topic "Age Effects"

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Manoli, Dayanand, and Andrea Weber. The Effects of the Early Retirement Age on Retirement Decisions. Cambridge, MA: National Bureau of Economic Research, August 2016. http://dx.doi.org/10.3386/w22561.

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Fair, Ray, and Kathryn Dominguez. Effects of the Changing U.S. Age Distribution on Macroeconomic Equations. Cambridge, MA: National Bureau of Economic Research, June 1987. http://dx.doi.org/10.3386/w2280.

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Dorshkind, Kenneth. Effects of Hematopoietic Stem Cell Age on CML Disease Progression. Fort Belvoir, VA: Defense Technical Information Center, March 2006. http://dx.doi.org/10.21236/ada451341.

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Krause, Timothy. Sound Effects: Age, Gender, and Sound Symbolism in American English. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2301.

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Tetlow, Gemma, Carl Emmerson, and Jonathan Cribb. Labour supply effects of increasing the female state pension age in the UK from age 60 to 62. Institute for Fiscal Studies, July 2014. http://dx.doi.org/10.1920/wp.ifs.2014.1419.

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Lofaro, R., M. Subudhi, R. Travis, A. DiBiasio, A. Azarm, and J. Davis. The effects of age on nuclear power plant containment cooling systems. Office of Scientific and Technical Information (OSTI), April 1994. http://dx.doi.org/10.2172/10147600.

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Kueng, Lorenz, Mu-Jeung Yang, and Bryan Hong. Sources of Firm Life-Cycle Dynamics: Differentiating Size vs. Age Effects. Cambridge, MA: National Bureau of Economic Research, October 2014. http://dx.doi.org/10.3386/w20621.

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Dorshkind, Kenneth. Effects of Hematopoietic Lineage and Precursor Age on CML Disease Progression. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada472050.

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Barclay, Kieron J., and Mikko Myrskylä. Parental age and offspring mortality: negative effects of reproductive aging are outweighed by secular increases in longevity. Rostock: Max Planck Institute for Demographic Research, October 2016. http://dx.doi.org/10.4054/mpidr-wp-2016-011.

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Downey, Erika Diane, Richard G. Tait, Mary Sue Mayes, Dorian J. Garrick, Julia Ridpath, and James M. Reecy. Effects of Calf Age and Dam Age on Circulating BVDV II Antibody Levels Prior to Vaccination in Angus Weanling Calves. Ames: Iowa State University, Digital Repository, 2011. http://dx.doi.org/10.31274/farmprogressreports-180814-2419.

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