Academic literature on the topic 'O.T. Daniel'

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Journal articles on the topic "O.T. Daniel"

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No authorship indicated. "Daniel T. Gilbert." American Psychologist 48, no. 4 (1993): 348–50. http://dx.doi.org/10.1037/h0090732.

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Staddon, John. "Daniel T. Cerutti (1956–2010)." Behavior Analyst 34, no. 1 (April 2011): 123–24. http://dx.doi.org/10.1007/bf03392243.

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Michael, Christoph M. "Rodgers, Daniel T.. Age of Fracture." Politische Vierteljahresschrift 55, no. 2 (2014): 391–93. http://dx.doi.org/10.5771/0032-3470-2014-2-391.

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Brick, H. "DANIEL T. RODGERS. Age of Fracture." American Historical Review 117, no. 5 (December 1, 2012): 1537–39. http://dx.doi.org/10.1093/ahr/117.5.1537.

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Adams, Karen L., and Robert Bjork. "Daniel T. Brink, Jr. 1940–1997." American Journal of Germanic Linguistics and Literatures 10, no. 1 (1998): 105–6. http://dx.doi.org/10.1017/s1040820700002250.

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Stankowich, T. "Quantifying Behavior the JWatcher Way. Daniel T. Blumstein and Janice C. Daniel." Integrative and Comparative Biology 48, no. 3 (June 24, 2008): 437–39. http://dx.doi.org/10.1093/icb/icn005.

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Olsen, Mark, and Louis-Georges Harvey. "Contested Methods: Daniel T. Rodgers's Contested Truths." Journal of the History of Ideas 49, no. 4 (October 1988): 653. http://dx.doi.org/10.2307/2709678.

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André, Jean. "Pierre Favard and Daniel Sandoz." Biology of the Cell 72, no. 1-2 (1991): 1–2. http://dx.doi.org/10.1016/0248-4900(91)90071-t.

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Merello, Ida. "Daniel Fauvel, L’affaire Ferdinand Delamare a-t-elle inspiré Flaubert?" Studi Francesi, no. 194 (LXV | II) (August 1, 2021): 395. http://dx.doi.org/10.4000/studifrancesi.45355.

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Klosek, Malgorzta M. "Markov Processes: An Introduction for Physical Scientists (Daniel T. Gillespie)." SIAM Review 35, no. 2 (June 1993): 324–25. http://dx.doi.org/10.1137/1035070.

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Dissertations / Theses on the topic "O.T. Daniel"

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Gonnermann, Daniel [Verfasser]. "Galektin-3 in der Interaktion von T Zellen und Tumorzellen / Daniel Gonnermann." Kiel : Universitätsbibliothek Kiel, 2018. http://d-nb.info/1162496460/34.

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Gehring, Torben [Verfasser], and Daniel [Akademischer Betreuer] Krappmann. "MALT1 phosphorylation controls activation of T lymphocytes / Torben Gehring ; Betreuer: Daniel Krappmann." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019. http://d-nb.info/1210424320/34.

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Warth, Sebastian [Verfasser], and Daniel [Akademischer Betreuer] Krappmann. "A microRNA network in regulatory T cell differentiation / Sebastian Warth. Betreuer: Daniel Krappmann." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2014. http://d-nb.info/1075456916/34.

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Meston, Daniel Jon Verfasser], Lothar [Akademischer Betreuer] [Jänsch, and Ralf [Akademischer Betreuer] Mendel. "Respirasome-mediated Activation of T-Lymphocytes / Daniel Jon Meston ; Lothar Jänsch, Ralf Mendel." Braunschweig : Technische Universität Braunschweig, 2020. http://nbn-resolving.de/urn:nbn:de:gbv:084-2020081209279.

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Meston, Daniel Jon [Verfasser], Lothar [Akademischer Betreuer] Jänsch, and Ralf [Akademischer Betreuer] Mendel. "Respirasome-mediated Activation of T-Lymphocytes / Daniel Jon Meston ; Lothar Jänsch, Ralf Mendel." Braunschweig : Technische Universität Braunschweig, 2020. http://d-nb.info/1215837062/34.

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Gandyra, Daniel [Verfasser], and T. [Akademischer Betreuer] Schimmel. "Der Salvinia-Effekt: Lufthaltung an biologischen und biomimetischen Oberflächen / Daniel Gandyra. Betreuer: T. Schimmel." Karlsruhe : KIT-Bibliothek, 2014. http://d-nb.info/1070584274/34.

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Humme, Daniel [Verfasser]. "Komparative T-Zell-Rezeptor-Genumlagerungs- und Expressionsanalysen in Haut- und Blutkompartimenten bei Patienten mit CD30+ kutanen T-Zell-Lymphomen / Daniel Humme." Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2011. http://d-nb.info/1026174457/34.

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Stühmer, Jan [Verfasser], Daniel [Akademischer Betreuer] [Gutachter] Cremers, and William T. [Gutachter] Freeman. "A Convex Optimization Framework for Connectivity Constraints in Image Segmentation and 3D Reconstruction / Jan Stühmer ; Gutachter: Daniel Cremers, William T. Freeman ; Betreuer: Daniel Cremers." München : Universitätsbibliothek der TU München, 2016. http://d-nb.info/1131253671/34.

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Kappler, Daniel [Verfasser], and T. [Akademischer Betreuer] Asfour. "Combining Model-Based with Learning-Based Approaches for Autonomous Manipulation / Daniel Kappler ; Betreuer: T. Asfour." Karlsruhe : KIT-Bibliothek, 2019. http://d-nb.info/1192373677/34.

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Radtke, Daniel [Verfasser], and Lars [Akademischer Betreuer] Nitschke. "Das Adapterprotein Grb2 in B- und T-Lymphozyten der Maus / Daniel Radtke. Gutachter: Lars Nitschke." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2015. http://d-nb.info/1075837308/34.

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Books on the topic "O.T. Daniel"

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Lederach, Paul M. Daniel. Scottdale, Pa: Herald Press, 1994.

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Gangel, Kenneth O. Daniel. Edited by Anders Max E. 1947-. Nashville, Tenn: Broadman & Holman, 2001.

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Daniel. Nashville, Tenn: Broadman & Holman, 1994.

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Miller, Stephen R. Daniel. Nashville, Tenn: Broadman & Holman Publishers, 1998.

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Daniel. Neukirchen-Vluyn: Neukirchner Verlag, 1986.

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Murphy, Daniel T. Daniel T. Murphy: A decent man. Ann Arbor, Mich: After Thoughts, 1993.

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Commentary on Daniel. [Abilene, Tex.]: A.C.U. Press, 1989.

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Hinnant, Greg. Daniel notes: An inspirational commentary on the book of Daniel. Lake Mary, Fla: Creation House Press, 2003.

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Daniel. Sheffield, England: Sheffield Academic Press, 1998.

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40 days through Daniel. Eugene, Oregon: Harvest House Publishers, 2016.

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Book chapters on the topic "O.T. Daniel"

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Reaume, Geoffrey. "Eugenics Incarceration and Expulsion: Daniel G. and Andrew T.’s Deportation from 1928 Toronto, Canada." In Disability Incarcerated, 63–80. New York: Palgrave Macmillan US, 2014. http://dx.doi.org/10.1057/9781137388476_4.

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Mason, Nicholas. "William Gosnell (‘Fogarty O'Fogarty’) and William Maginn (‘R. T. S.’) ‘Daniel O'Rourke, An Epic Poem: Cantos I and II’." In Blackwood's Magazine, 1817-25, Volume 1, 201–20. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003312611-23.

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Melin, Mats, and Jennifer Schoonover. "An t-Seann Dùthaich." In Dance Legacies of Scotland, 184–98. Abingdon, Oxon ; New York, NY : Routledge, 2021.: Routledge, 2020. http://dx.doi.org/10.4324/9781003043607-10.

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Manganiello, Dominic. "Dante according to Eliot." In T. S. Eliot and Dante, 1–16. London: Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-20259-1_1.

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Manganiello, Dominic. "Death by Water and Dante’s Ulysses." In T. S. Eliot and Dante, 17–39. London: Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-20259-1_2.

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Manganiello, Dominic. "The Poetics of the Desert." In T. S. Eliot and Dante, 40–83. London: Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-20259-1_3.

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Manganiello, Dominic. "Eliot’s Book of Memory." In T. S. Eliot and Dante, 84–123. London: Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-20259-1_4.

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Manganiello, Dominic. "The Aesthetics and Politics of Order." In T. S. Eliot and Dante, 124–46. London: Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-20259-1_5.

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Manganiello, Dominic. "Eliot’s Dante and the Moderns." In T. S. Eliot and Dante, 147–65. London: Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-20259-1_6.

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Alexandre, Jane M. "“We Think Differently in the Landscape of Dance”: T. Lang." In Dance Leadership, 27–45. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-57592-0_3.

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Conference papers on the topic "O.T. Daniel"

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Dubnov, Tammuz, Zachary Seldess, and Shlomo Dubnov. "Interactive projection for aerial dance using depth sensing camera." In IS&T/SPIE Electronic Imaging, edited by Margaret Dolinsky and Ian E. McDowall. SPIE, 2014. http://dx.doi.org/10.1117/12.2041905.

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Athavale, M. M., A. J. Przekwas, R. C. Hendricks, and B. M. Steinetz. "Numerical Analysis of Intra-Cavity and Power-Stream Flow Interaction in Multiple Gas-Turbine Disk-Cavities." In ASME 1995 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/95-gt-325.

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A numerical analysis methodology and solutions of the interaction between the power stream and multiply-connected multi-cavity sealed secondary flow fields are presented. Flow solutions for a multi-cavity experimental rig were computed and compared with experimental data of Daniels and Johnson. The flow solutions illustrate the complex coupling between the main-path and the cavity flows as well as outline the flow thread that exists throughout the subplatform multiple cavities and seals. The analysis also shows that the de-coupled solutions on single cavities is inadequate. The present results show trends similar to the T-700 engine data that suggests the changes in the CDP seal altered the flow fields throughout the engine and affected the engine performance.
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Tazkia, Alya Ayu, and Zainuri Sabta Nugraha. "The Effect of Caffeine towards Zebrafish (Danio rerio) Juvenile Working Memory Exposed by Unpredictable Chronic Stress (UCS)." In 1’s t Jenderal Soedirman International Medical Conference (JIMC) in conjunction with the Annual Scientific Meeting (Temilnas) Consortium of Biomedical Science Indonesia (KIBI ). SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0010490202080213.

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Utami, Yanti Tri, and Isnatin Miladiyah. "Toxicity of Self-nanoemulsifying Drug Delivery System Formulation of Nigella Sativa L. Seed Oil against Adult Danio rerio." In 1’s t Jenderal Soedirman International Medical Conference (JIMC) in conjunction with the Annual Scientific Meeting (Temilnas) Consortium of Biomedical Science Indonesia (KIBI ). SCITEPRESS - Science and Technology Publications, 2020. http://dx.doi.org/10.5220/0010487300350042.

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Maxey, M. R., S. Dong, D. Liu, and J. Xu. "Simulation of Particulate Flows With the Force-Coupling Method (Keynote Paper)." In ASME/JSME 2003 4th Joint Fluids Summer Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/fedsm2003-45713.

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One of the challenges in the numerical simulation of a system of particles in a fluid flow is to balance the need for an accurate representation of the flow around individual particles with the feasibility of simulating the fully-coupled dynamics of large numbers of particles. Over the past few years, several techniques have been developed for the direct numerical simulation of dispersed two-phase flows. Examples include the ALE-FEM formulation described by Hu et al. [1] and the DLM method of Patankar et al. [2]. The former uses a finite element mesh that conforms to the shape and position of each particle and evolves dynamically as the particles move, while the latter employs a fixed mesh and constraints are imposed in the volume of fluid occupied by the particle to reproduce a corresponding rigid body motion. In both the aim is to fully resolve the flow dynamics for each particle and there is a corresponding demand for high resolution of the flow. A typical approach used for gas-solid flows has been the point-force method that combines a Lagrangian tracking of individual particles with an Eulerian formulation for force feedback on the fluid flow. The latter approach has worked well for very small particles in systems of negligible void fraction but significant mass loading. The resolution level is very low and often the particles are smaller than the spacing between grid points. Its success comes from the averaging effect of large numbers of small particles and the fact that the influence of an individual particle is weak. The approach though is inaccurate for liquid-solid or bubbly flows when the individual particles are of finite size and the void fractions may easily be larger than 1%. In tracking the individual particles an equation of motion is formulated that relates the particle acceleration to the fluid forces acting on the particle, and these forces such as drag and lift are parameterized in terms of the local fluid velocity, velocity gradients and history of the fluid motion. Once flow modification is included however, it is harder to specify the local flow. The parameterizations also become more complex as effects of finite Reynolds number or wall boundaries are included. As a numerical procedure, the force-coupling method (FCM) does not require the same level of resolution as the DLM or ALE-FEM schemes and avoids the limitations of the point-force method. It gives a self-consistent scheme for simulating the dynamics of a system of small particle using a fixed numerical mesh and resolves the flow except close to the surface of each particle. Distributed, finite force-multipoles are used to represent the particles, and FCM is able to predict quite well the motion of isolated particles in shear flows and the interaction between moving particles. The method also provides insights into how the two-phase flow may be described theoretically and modeled. The idea of the force-coupling method was first introduced by Maxey et al. [3]. The basic elements of the method are given by Maxey & Patel [4] and Lomholt & Maxey [5]. In the basic version of the method, fluid is assumed to fill the whole flow domain, including the volume occupied by the particles. The presence of each particle is represented by a finite force monopole that generates a body force distribution f(x,t) on the fluid, which transmits the resultant force of the particles on the flow to the fluid. The velocity field u(x,t) is incompressible and satisfies ∇·u=0(1)ρDuDt=−∇p+μ∇2u+f(x,t),(2) where μ is the fluid viscosity and p is the pressure. The body force due to the presence of NP bubbles is f(x,t)=∑n=1NpF(n)Δ(x−Y(n)(t)),(3)Y(n)(t) is the position of the nth spherical particle and F(n)(t) is the force this exerts on the fluid. The force monopole for each particle is determined by the function Δ(x), which is specified as a Gaussian envelope Δ(x)=(2πσ2)−3/2exp(−x2/2σ2)(4) and the length scale σ is set in terms of the particle radius a as a/σ = π. The velocity of each particle V(n)(t) is found by forming a local average of the fluid velocity over the region occupied by the particle as V(n)(t)=∫u(x,t)Δ(x−Y(n)(t))d3x.(5) If mP and mF denote the mass of a particle and the mass of displaced fluid, the force of the particle acting on the fluid is F(n)=(mP−mF)(g−dV(n)dt).(6) This force is the sum of the net external force due to buoyancy of the particle and the excess inertia of the particle over the corresponding volume of displaced fluid. In addition a short-range, conservative force barrier is imposed to represent collisions between particles and prevent overlap. A similar barrier force is imposed, normal to the wall, to represent collisions between a particle and a rigid wall. With this scheme the body forces induce a fluid motion equivalent to that of the particles. The dynamics of the particles and the fluid are considered as one system where fluid drag on the particles, added-mass effects and lift forces are internal to the system. The method does not resolve flow details near to the surface of a particle, and indeed the no-slip condition is not satisfied on surface. At distances of about half a particle radius from the surface the flow though is fairly well represented. While there is no explicit boundary condition on the particle surface, the condition (5) ensures that the bubble and the surrounding fluid move together. The method has been applied to a variety of flow problems. Lomholt et al. [6] compared experimental results for the buoyant rise of particles in a vertical channel filled with liquid with results from corresponding simulations with FCM. The particle Reynolds numbers were in the range of 0 to 5 and the results agreed well. The wake-capture and the drafting, kissing and tumbling of pairs of particles, or of a group of three particles were found to match. Comparisons have made too with full direct numerical simulations performed with a spectral element code [7]. Liu et al. [8] examined the motion of particles in a channel at both low and finite Reynolds numbers, up to Re = 10. There was in general good agreement between the FCM results and the DNS for the particle motion, and the flow details were consistent away from the particle surface. There has been extensive work in the past on the sedimentation of particles in a homogeneous suspension, mainly for conditions of Stokes flow. Climent & Maxey [9] have verified that the FCM scheme reproduces many of the standard features found for Stokes suspensions. The results for finite Reynolds numbers illustrate how the structure of the suspension changes as fluid inertia is introduced, in particular limiting the growth in velocity fluctuation levels with system size. Further work has been done by Dance [10] on sedimenting suspensions in bounded containers. Recently we have been studying the dynamics of drag reduction by injecting micro-bubbles into a turbulent channel flow. This has been proven through experiments over the past 30 years to be an effective means for drag reduction but the details of the mechanisms involved have not been determined. Numerical simulations by Xu et al. [11] have shown clear evidence of drag reduction for a range of bubble sizes. A key feature is the need to maintain a concentration of bubbles in the near-wall region. In the talk, the method will be described and example results given. Specific issues relevant to gas-solid flows will be discussed.
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Pilatti, Angelina, Adrian Bravo, Yanina Michelini, Gabriela Rivarola Montejano, and Ricardo Pautassi. "Contexts of Marijuana Use: A Latent Class Analysis among Argentinean College Students." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.23.

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Background: Substance use and the association between substance-related variables and outcomes seem to be context dependent. We employed Latent Class Analysis (LCA), a person-centered approach, to identify distinct subpopulations based on contexts of marijuana use. We also examined whether the resulting classes differ in a set of marijuana-related variables that hold promise as potential targets of interventions. Method: A sample of 1083 Argentinean college students (64% women; M age = 19.73±3.95) completed an online survey that assessed substance use and related variables (motives for substance use, protective behavioral strategies [PBS] and internalization of the college marijuana use culture). For the present study, only data from students that reported last month (i.e., past 30-day) marijuana use (n = 158) were included in the analysis. Participants reported whether or not they used marijuana in different places (i.e., own house, party at home, friends’ house, parties at friends' house, university party, non-university party, bar, dance-club, outside [street, park], or pregaming) or social contexts (i.e., alone, with family members, strangers, boyfriend/girlfriend, close friend, small group of same-sex friends, ≥10 same-sex friends, small co-ed group of friends, ≥10 co-ed friends). Results: LCA identified a 2-classes model for marijuana use context. Class 1 comprised 40% of last-month marijuana users. Students within this class endorsed a high probability of consuming marijuana across different places (e.g., at home, at parties, outdoors) and social contexts (e.g., close friend and in small same sex and coed groups). Participants in Class 2 exhibited a low endorsement of marijuana use across contexts, yet they reported a moderate to high probability of using marijuana with a small group of same-sex friends or with the close friend, at a friend’s home. The two classes significantly differed, as shown by Student’s t, on all marijuana outcomes (i.e., use and negative consequences) and marijuana-related variables (motives, PBS and internalization of the college marijuana use culture). Students in class 2 exhibited significantly less marijuana use, both in terms of frequency and quantity, and less marijuana-related negative consequences than those in class 1. The latter class exhibited more normative perceptions about marijuana use in college, more marijuana use motives -particularly social, coping and expansion motives- and less use of PBS than students in class 2 did. Conclusions: Our findings revealed subpopulations of college students that are heterogeneous regarding contexts of marijuana use, patterns of use and in a number of relevant variables. These distinctive subpopulations require different targeted interventions.
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