Academic literature on the topic 'Demographics'

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Journal articles on the topic "Demographics"

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Jackson, R. W., and M. Hynes. "Demographics in Demographic—Economic Models: A Reply to Madden." Environment and Planning A: Economy and Space 20, no. 11 (November 1988): 1543–45. http://dx.doi.org/10.1068/a201543.

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Goldberg, Mark F. "Demographics —." Phi Delta Kappan 82, no. 4 (December 2000): 304–6. http://dx.doi.org/10.1177/003172170008200413.

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Gillis, Artha J., and Eraka Bath. "Demographics." Child and Adolescent Psychiatric Clinics of North America 25, no. 1 (January 2016): 1–17. http://dx.doi.org/10.1016/j.chc.2015.08.001.

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Hokenson, Richard F. "The Demographics." AIMR Conference Proceedings 1995, no. 6 (October 1995): 5–13. http://dx.doi.org/10.2469/cp.v1995.n6.2.

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Schrad, Mark Lawrence. "Abnormal Demographics." Foreign Affairs 83, no. 4 (2004): 150. http://dx.doi.org/10.2307/20034057.

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Contrino, Heather, and Nancy McGuckin. "Demographics Matter." Public Works Management & Policy 13, no. 4 (April 2009): 361–68. http://dx.doi.org/10.1177/1087724x09336223.

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Williams, Betty Fry. "Changing Demographics." Intervention in School and Clinic 27, no. 3 (January 1992): 157–63. http://dx.doi.org/10.1177/105345129202700306.

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Reibel, Michael, Cathy Olmo, Sandy Andrada, and Jeff Koertzen. "Deep Demographics." Progress in Transplantation 26, no. 2 (April 4, 2016): 191–98. http://dx.doi.org/10.1177/1526924816640670.

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RICH, V. "Russian demographics." Lancet 344, no. 8919 (August 1994): 399. http://dx.doi.org/10.1016/s0140-6736(94)91420-6.

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Fuster, Valentin. "Changing Demographics." Journal of the American College of Cardiology 69, no. 24 (June 2017): 3002–5. http://dx.doi.org/10.1016/j.jacc.2017.05.013.

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Dissertations / Theses on the topic "Demographics"

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GOZLUKLU, ARIE ESKENAZI. "Financial markets and demographics." Doctoral thesis, Università Bocconi, 2011. https://hdl.handle.net/11565/4054085.

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Schulze, Andreas. "Demographics of supermassive black holes." Phd thesis, Universität Potsdam, 2011. http://opus.kobv.de/ubp/volltexte/2011/5446/.

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Supermassive black holes are a fundamental component of the universe in general and of galaxies in particular. Almost every massive galaxy harbours a supermassive black hole (SMBH) in its center. Furthermore, there is a close connection between the growth of the SMBH and the evolution of its host galaxy, manifested in the relationship between the mass of the black hole and various properties of the galaxy's spheroid component, like its stellar velocity dispersion, luminosity or mass. Understanding this relationship and the growth of SMBHs is essential for our picture of galaxy formation and evolution. In this thesis, I make several contributions to improve our knowledge on the census of SMBHs and on the coevolution of black holes and galaxies. The first route I follow on this road is to obtain a complete census of the black hole population and its properties. Here, I focus particularly on active black holes, observable as Active Galactic Nuclei (AGN) or quasars. These are found in large surveys of the sky. In this thesis, I use one of these surveys, the Hamburg/ESO survey (HES), to study the AGN population in the local volume (z~0). The demographics of AGN are traditionally represented by the AGN luminosity function, the distribution function of AGN at a given luminosity. I determined the local (z<0.3) optical luminosity function of so-called type 1 AGN, based on the broad band B_J magnitudes and AGN broad Halpha emission line luminosities, free of contamination from the host galaxy. I combined this result with fainter data from the Sloan Digital Sky Survey (SDSS) and constructed the best current optical AGN luminosity function at z~0. The comparison of the luminosity function with higher redshifts supports the current notion of 'AGN downsizing', i.e. the space density of the most luminous AGN peaks at higher redshifts and the space density of less luminous AGN peaks at lower redshifts. However, the AGN luminosity function does not reveal the full picture of active black hole demographics. This requires knowledge of the physical quantities, foremost the black hole mass and the accretion rate of the black hole, and the respective distribution functions, the active black hole mass function and the Eddington ratio distribution function. I developed a method for an unbiased estimate of these two distribution functions, employing a maximum likelihood technique and fully account for the selection function. I used this method to determine the active black hole mass function and the Eddington ratio distribution function for the local universe from the HES. I found a wide intrinsic distribution of black hole accretion rates and black hole masses. The comparison of the local active black hole mass function with the local total black hole mass function reveals evidence for 'AGN downsizing', in the sense that in the local universe the most massive black holes are in a less active stage then lower mass black holes. The second route I follow is a study of redshift evolution in the black hole-galaxy relations. While theoretical models can in general explain the existence of these relations, their redshift evolution puts strong constraints on these models. Observational studies on the black hole-galaxy relations naturally suffer from selection effects. These can potentially bias the conclusions inferred from the observations, if they are not taken into account. I investigated the issue of selection effects on type 1 AGN samples in detail and discuss various sources of bias, e.g. an AGN luminosity bias, an active fraction bias and an AGN evolution bias. If the selection function of the observational sample and the underlying distribution functions are known, it is possible to correct for this bias. I present a fitting method to obtain an unbiased estimate of the intrinsic black hole-galaxy relations from samples that are affected by selection effects. Third, I try to improve our census of dormant black holes and the determination of their masses. One of the most important techniques to determine the black hole mass in quiescent galaxies is via stellar dynamical modeling. This method employs photometric and kinematic observations of the galaxy and infers the gravitational potential from the stellar orbits. This method can reveal the presence of the black hole and give its mass, if the sphere of the black hole's gravitational influence is spatially resolved. However, usually the presence of a dark matter halo is ignored in the dynamical modeling, potentially causing a bias on the determined black hole mass. I ran dynamical models for a sample of 12 galaxies, including a dark matter halo. For galaxies for which the black hole's sphere of influence is not well resolved, I found that the black hole mass is systematically underestimated when the dark matter halo is ignored, while there is almost no effect for galaxies with well resolved sphere of influence.
Supermassereiche Schwarze Löcher sind ein fundamentaler Bestandteil unseres Universims im Allgemeinen, und von Galaxien im Besonderen. Fast jede massereiche Galaxie beherbergt ein supermassereiches Schwarzes Loch in seinem Zentrum. Außerdem existiert eine enge Beziehung zwischen dem Wachstum des Schwarzen Loches und der Entwicklung seiner umgebenden Galaxie. Diese zeigt sich besonders in der engen Beziehung zwischen der Masse eines Schwarzen Loches und den Eigenschaften der sphäroidalen Komponente der Galaxie, beispielsweise seiner stellaren Geschwindigkeitsdispersion, seiner Leuchtkraft und seiner Masse. Diese Beziehung erklären zu können, sowie das Wachstum von Schwarzen Löchern zu verstehen, liefert einen wichtigen Beitrag zu unserem Bild der Entstehung und Entwicklung von Galaxien. In dieser Arbeit steuere ich verschiedene Beiträge dazu bei unser Verständnis des Vorkommens Schwarzer Löcher und der Beziehung zu ihren Galaxien zu verbessern. Zunächst versuche ich ein vollständiges Bild der Anzahl und Eigenschaften Schwarzer Löcher zu erhalten. Dazu beschränke ich mich auf aktive Schwarze Löcher, wie man sie im Universum als Aktive Galaxienkerne (AGN) in großen Himmelsdurchmusterungen finden kann. Ich benutze eine solche Durchmusterung, das Hamburg/ESO Survey (HES), um die AGN Population im lokalen Universum zu studieren. Dazu habe ich die optische Leuchtkraftfunktion von AGN bestimmt. Diese habe ich mit anderen Ergebnissen leuchtschwächerer AGN kombiniert um die bisher beste AGN Leuchtkraftfunktion im lokalen Universum zu erhalten. Der Vergleich mit Ergebnissen bei höherer kosmischer Rotverschiebung bestätigt unser Bild des sogenannten "AGN downsizing". Dies sagt aus, dass leuchtkräftige AGN bei hoher Rotverschiebung am häufigsten vorkommen, während leuchtschwache AGN bei niedriger Rotverschiebung am häufigsten sind. Allerdings verrät uns die AGN Leuchtkraftfunktion allein noch nicht das ganze Bild der Demographie Schwarzer Löcher. Vielmehr sind wir an den zugrunde liegenden Eigenschaften, vor allem der Masse und der Akkretionsrate der Schwarzen Löcher, sowie deren statistischen Verteilungsfunktionen, interessiert. Ich habe eine Methode entwickelt um diese beiden Verteilungsfunktionen zu bestimmen, basierend auf der Maximum-Likelihood-Methode. Ich habe diese Methode benutzt um die aktive Massenfunktion Schwarzer Löcher, sowie die Verteilungsfunktion ihrer Akkretionsraten für das lokale Universum aus dem HES zu bestimmen. Sowohl die Akkretionsraten, als auch die Massen der Schwarzen Löcher zeigen intrinsisch eine breite Verteilung, im Gegensatz zur schmaleren beobachtbaren Verteilung. Der Vergleich der aktiven Massenfunktion mit der gesamten Massenfunktion Schwarzer Löcher zeigt ebenfalls Hinweise auf "AGN downsizing". Als nächstes habe ich mich mit Untersuchungen zur zeitlichen Entwicklung in den Beziehungen zwischen Schwarzem Loch und Galaxie beschäftigt. Diese kann helfen unser theoretisches Veständnis der physikalischen Vorgänge zu verbessern. Beobachtungen sind immer auch Auswahleffekten unterworfen. Diese können die Schlussfolgerungen aus den Beobachtungen zur Entwicklung in den Beziehungen beeinflussen, wenn sie nicht entsprechend berücksichtigt werden. Ich habe den Einfluss von Auswahleffekten auf AGN Stichproben im Detail untersucht, und verschiedende möchgliche Einflussquellen identifiziert, die die Beziehung verfälschen können. Wenn die Auswahlkriterien der Stichprobe, sowie die zugrunde liegenden Verteilungen bekannt sind, so ist es möglich für die Auswahleffekte zu korrigieren. Ich habe eine Methode entwickelt, mit der man die intrinsische Beziehung zwischem Schwarzem Loch und Galaxie aus den Beobachtungen rekonstruieren kann. Schließlich habe ich mich auch inaktiven Schwarzen Löchern und der Bestimmung ihrer Massen gewidmet. Eine der wichtigsten Methoden die Masse Schwarzer Löcher in normalen Galaxien zu bestimmen ist stellardynamische Modellierung. Diese Methode benutzt photometrische und kinematische Beobachtungen, und rekonstruiert daraus das Gravitationspotenzial aus der Analyse stellarer Orbits. Bisher wurde in diesen Modellen allerdings der Einfluss des Halos aus Dunkler Materie vernachlässigt. Dieser kann aber die Bestimmung der Masse des Schwarzen Loches beeinflussen. Ich habe 12 Galaxien mit Hilfe stellardynamischer Modellierung untersucht und dabei auch den Einfluss des Halos aus Dunkler Materie berücksichtigt. Für Galaxien bei denen der Einflussbereich des Schwarzen Loches nicht sehr gut räumlich aufgelöst war, wird die Masse des Schwarzen Loches systematisch unterschätzt, wenn der Dunkle Materie Halo nicht berücksichtigt wird. Auf der anderen Seite ist der Einfluss gering, wenn die Beobachtungen diesen Einflussbereich gut auflösen können.
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Arumugam, Kavita Umphress David A. "Demographics of adware and spyware." Auburn, Ala., 2007. http://repo.lib.auburn.edu/2007%20Fall%20Theses/SANYASI_ARUMUGAM_58.pdf.

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Goetz, Adam N. "Demographics : the downfall of Saudi Arabia." Thesis, Monterey, California. Naval Postgraduate School, 2012.

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Threats to Saudi Arabia have historically been categorized as external, reference immediate neighbors, and internal via conservative Islamic opposition groups. The United States, because of its security arrangement, has guaranteed the sovereignty of Saudi Arabia. Opposition groups within the Kingdom, while attracting recent attention, are placated through concessions to the Ulema and direct payment. However, primary destabilization of the Saudi regime today is due to stress placed upon the Saudi economy and ruling structure by an unprecedented population growth within the Kingdom over the last two decades. The argument is that growth in the Kingdom has rapidly outstripped the regime's ability to provide for it, undermining the key pillar of the Royal Family's ruling legitimacy. This thesis explores stress placed upon the Saudi regime through its population growth. Due to effects of relative deprivation, the Saudi populace is demanding government participation, calling to question personal regime expenditures, and the motivations of regime foreign policy, especially in relation to the United States. This study will briefly address courses of action available to the Royal Family, current effects of population growth upon the Saudi economy, and the regional and international consequences of a failed Saudi government.
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Guerra, Chris. "Fundamental Demographics of Digital Piracy Offenders." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157573/.

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Digital piracy is an emerging cybercrime subtype with overarching implications for administrators and researchers alike. Within this body of knowledge, it is unclear what individual-level factors are linked to digital piracy. Using a college-based sample, while focusing on gender, race, and age, this study identifies fundamental individual-level variables associated with digital piracy commission. After conducting multiple independent samples t-tests and a multivariate logistic regression, results found age and computer proficiency were significantly associated with the likelihood of engaging in digital piracy. These findings can help establish the foundational characteristics of digital pirates. By shifting the focus back to basic individual factors, universities can identify preventive efforts and researchers can better understand who engages in digital piracy.
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Donofrio, Joana. "Demographics of Ohio's river otter population." Connect to resource, 2009. http://hdl.handle.net/1811/37228.

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Goetz, Adam N. "Demographics : the downfall of Saudi Arabia /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Dec%5FGoetz.pdf.

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Thesis (M.A. in National Security Affairs)--Naval Postgraduate School, December 2003.
Thesis advisor(s): Robert E. Looney, James A. Russell. Includes bibliographical references (p. 69-72). Also available online.
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Sattley, Harrison. "Voter Income, Demographics, and Political Polarization." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2223.

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Using data from the American National Election Studies from 1968 to 2016, I explore the historical relationship between voter income, other demographic factors, and political polarization. I find that while having a higher income and a better education generally correlates with increased Republican political preference, though the relationship between higher income and increased Republican preference does not hold in lower income groups. Race is by far the most significant indicator of political preference, with whites and blacks on opposite ends of the political spectrum, and Hispanics as well as other races somewhere in between the two. In addition, I analyze the data from 20th century elections separately from 21st century elections and discover key differences in how each factor influences political preference.
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Monogue, Dana E. "Changing Student Demographics and Suburban School Leadership." Thesis, The University of Wisconsin - Milwaukee, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3709161.

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Principals and superintendents serving in four suburban school districts in Wisconsin experiencing significant increases in the numbers of students who identify as Hispanic or African American were studied to identify how these leaders were working to meet the needs of all learners in increasingly diverse public school contexts. This study aimed to answer three primary research questions: What resources, supports and strategies are employed by principals in suburban school districts experiencing significant demographic changes related specifically to increases in the number of students who identify as African American or Hispanic that helped them be successful in their roles? What do these school leaders need from their superintendents in order to successfully deliver on the promise of creating school environments within which all students succeed? How are superintendents in these suburban contexts increasing their competencies and supporting principals in proactively leading through racial demographic shifts in a society that has typically marginalized such groups of students? Leadership dispositions, knowledge, skills, and resources identified by building administrators necessary to successfully meet the challenge of actualizing success for all students are discussed and include growth mindset, a deep understanding of change management, a willingness to confront and disrupt, and a reliance upon peer collaboration. The superintendent/principal relationship is analyzed for relevance and impact on principal effectiveness and issues currently faced by district administrators serving in increasingly diverse suburban school districts are outlined. Results of this study illuminate opportunities for future research and implications on current practice in the field of educational administration.

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Foley, Virginia P. "Gender and Graduation Demographics for EdD Students." Digital Commons @ East Tennessee State University, 2011. https://dc.etsu.edu/etsu-works/5989.

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Books on the topic "Demographics"

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Yulinov, Valeriy, Natal'ya Patrusheva, and Boris Kochurov. Demographics. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1020561.

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The textbook covers the main sections of the course "Demography": the object, subject and methods of demography, connection with other sciences; sources of data on the population; the main types and factors of population movement, modes of natural reproduction of the population; migration and reproduction of the population; demographic, ethnic and religious structure of the population; demographic policy of the state. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of higher educational institutions studying under the bachelor's degree programs 38.03.04 and master's degree programs 38.04.04 in the direction of "State and Municipal Management", as well as for all those interested in demographic problems and their solution.
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B, Hill David. Election demographics. Washington, D.C: Population Reference Bureau, 1988.

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Williams, Laura. Changing demographics. London: The Work Foundation, 2005.

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Jeschke, Sabina, Anja Richert, Frank Hees, and Claudia Jooß, eds. Exploring Demographics. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-08791-3.

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Moynihan, Michael. Global consumer demographics. New York: Business International, 1991.

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Griffith, Gethin Llywelyn. Community infrastructure (demographics). [Bangor (Gwynedd)]: Research Centre Wales, 1995.

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Michael, Moynihan. Global consumer demographics. New York: Business International, 1991.

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Motto Kryla & Fisher LLP. U.S. wine demographics report. St. Helena, Calif. (899 Adams St., Ste. E, St. Helena 94574): Motto Kryla & Fisher LLP, 2000.

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Illinois Economic and Fiscal Commission. Illinois demographics 2000 census. Springfield, Ill: Illinois Economic and Fiscal Commission, 2001.

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Denton, Frank T. The demographics of employment. Ottawa, Ont: Institute for Research on Public Policy, Studies in Social Policy, 1991.

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Book chapters on the topic "Demographics"

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Bondyrev, Igor V., Zurab V. Davitashvili, and Vijay P. Singh. "Demographics." In World Regional Geography Book Series, 39–53. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-05413-1_5.

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Turner, J. Rick. "Demographics." In Encyclopedia of Behavioral Medicine, 622. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1014.

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Upchurch Sweeney, C. Renn, J. Rick Turner, J. Rick Turner, Chad Barrett, Ana Victoria Soto, William Whang, Carolyn Korbel, et al. "Demographics." In Encyclopedia of Behavioral Medicine, 558. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1014.

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Nazarinia Roy, Roudi, Walter R. Schumm, and Sonya L. Britt. "Demographics." In Transition to Parenthood, 89–109. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-7768-6_5.

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Lucero, Patricia. "Demographics." In Encyclopedia of Quality of Life and Well-Being Research, 1549–51. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_696.

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Galiana, Jean, and William A. Haseltine. "Demographics." In Aging Well, 1–5. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-2164-1_1.

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Costello, Cynthia B., Vanessa R. Wight, and Anne J. Stone. "Demographics." In The American Woman 2003–2004, 183–208. New York: Palgrave Macmillan US, 2002. http://dx.doi.org/10.1007/978-1-137-11600-0_9.

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Collins, Amanda Smith, Erin A. Harper, Sherrie Lynn Proctor, and Stephen D. Truscott. "Demographics." In Encyclopedia of Cross-Cultural School Psychology, 365–68. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-0-387-71799-9_129.

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Gonnella, Joseph S., Clara A. Callahan, J. Jon Veloski, Jennifer DeSantis, and Mohammadreza Hojat. "Demographics." In Fifty Years of Findings from the Jefferson Longitudinal Study of Medical Education, 27–45. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85379-2_2.

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Anderson, Mary R., and Kevin S. Fridy. "Demographics." In Community, Civic Engagement and Democratic Governance in Africa, 41–50. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97741-2_4.

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Conference papers on the topic "Demographics"

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Nonnecke, Blair, and Jenny Preece. "Lurker demographics." In the SIGCHI conference. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/332040.332409.

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Gardner, Daniel L., and Joshua G. Tanenbaum. "Dynamic Demographics." In CHI '18: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3173574.3173667.

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FERRARESE, LAURA. "BLACK HOLE DEMOGRAPHICS." In Proceedings of the 2nd KIAS Astrophysics Workshop. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812777959_0001.

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Belova, Elena Iurevna, Iuliia Evgenevna Darovskikh, Irina Konstantinovna Dzhioeva, and Georgii Olegovich Rytikov. "Demographics of Organizations." In International Research-to-practice conference. Publishing house Sreda, 2021. http://dx.doi.org/10.31483/r-100056.

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Efentakis, Alexandros, Nikos Grivas, George Lamprianidis, Georg Magenschab, and Dieter Pfoser. "Isochrones, traffic and DEMOgraphics." In SIGSPATIAL'13: 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2525314.2525325.

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Aljohani, Tahani, and Alexandra I. Cristea. "Predicting Learners' Demographics Characteristics." In the 2019 4th International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3345094.3345119.

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Labidi, Jabrane, Susan Little, Amy Riches, Pieter Bots, Pallavi Anand, Sandra Arndt, Zimin Li, et al. "Constraining Geochemistry’s Community Demographics." In Goldschmidt2021. France: European Association of Geochemistry, 2021. http://dx.doi.org/10.7185/gold2021.7356.

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Galster, Joshua C. "THE DEMOGRAPHICS OF DAM REMOVAL." In GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-340840.

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Kennicutt, Robert C. "The Demographics of Starburst Galaxies." In THE EVOLUTION OF STARBURSTS: The 331st Wilhelm and Else Heraeus Seminar. AIP, 2005. http://dx.doi.org/10.1063/1.2034960.

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Knospe, Anders Garritt. "Demographics of the ALICE Collaboration." In 40th International Conference on High Energy physics. Trieste, Italy: Sissa Medialab, 2021. http://dx.doi.org/10.22323/1.390.0969.

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Reports on the topic "Demographics"

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David, Patty. Generation X Demographics. AARP Research, December 2015. http://dx.doi.org/10.26419/res.00116.001.

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Acemoglu, Daron, and Pascual Restrepo. Demographics and Automation. Cambridge, MA: National Bureau of Economic Research, March 2018. http://dx.doi.org/10.3386/w24421.

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Liang, James, Hui Wang, and Edward Lazear. Demographics and Entrepreneurship. Cambridge, MA: National Bureau of Economic Research, September 2014. http://dx.doi.org/10.3386/w20506.

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Jenkins, Keith. Sociology / Demographics - Cornell University. Purdue University Libraries, March 2012. http://dx.doi.org/10.5703/1288284315013.

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Gingrich, Nicole, and Isaac Patterson. NIST customer demographics: calibrations. Gaithersburg, MD: National Institute of Standards and Technology, August 2018. http://dx.doi.org/10.6028/nist.eab.11.

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Berg, Kimberly, Chadwick Curtis, Steven Lugauer, and Nelson Mark. Demographics and Monetary Policy Shocks. Cambridge, MA: National Bureau of Economic Research, June 2019. http://dx.doi.org/10.3386/w25970.

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Gingrich, Nicole, and Isaac Patterson. NIST customer demographics: patent licenses. Gaithersburg, MD: National Institute of Standards and Technology, August 2018. http://dx.doi.org/10.6028/nist.eab.10.

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DellaVigna, Stefano, and Joshua Pollet. Attention, Demographics, and the Stock Market. Cambridge, MA: National Bureau of Economic Research, March 2005. http://dx.doi.org/10.3386/w11211.

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Hagerty, John. 2021 Member Opinion Survey: Demographics - Infographic. Washington, DC: AARP Research, May 2022. http://dx.doi.org/10.26419/res.00514.053.

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Anderson, G. Oscar. Getting to Know Americans Age 50+: Demographics. AARP Research, December 2014. http://dx.doi.org/10.26419/res.00091.001.

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