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3,839 results on '"Dean, David"'

3. Singular viscoelastic perturbation to soft lubrication

Author

Bharti, Bharti, Ferreira, Quentin, Jha, Aditya, Carlson, Andreas, Dean, David S., Amarouchene, Yacine, Chan, Tak Shing, and Salez, Thomas

Subjects
Condensed Matter - Soft Condensed Matter, Physics - Chemical Physics, Physics - Classical Physics
Abstract

Soft lubrication has been shown to drastically affect the mobility of an object immersed in a viscous fluid in the vicinity of a purely elastic wall. In this theoretical study, we develop a minimal model incorporating viscoelasticity, carrying out a perturbation analysis in both the elastic deformation of the wall and its viscous damping. Our approach reveals the singular-perturbation nature of viscoelasticity to soft lubrication. Numerical resolution of the resulting non-linear, singular and coupled equations of motion reveals peculiar effects of viscoelasticity on confined colloidal mobility, opening the way towards the description of complex migration scenarios near realistic polymeric substrates and biological membranes.

Published
2024

6. Correlation decoupling of Casimir interaction in an electrolyte driven by external electric fields

Author

Du, Guangle, Dean, David S., Miao, Bing, and Podgornik, Rudolf

Subjects
Condensed Matter - Statistical Mechanics, Condensed Matter - Soft Condensed Matter
Abstract

It has been established for a long time that the long range van der Waals or thermal Casimir interaction between two semi-infinite dielectrics separated by a distance $H$ is screened by an intervening electrolyte. Here we show how this interaction is modified when an electric field of strength $E$ is applied parallel to the dielectric boundaries, leading to a non-equilibrium steady state with a current. The presence of the field induces a long range thermal repulsive interaction, scaling just like the thermal Casimir interaction between dielectrics without the intervening electrolyte, {\em i.e.} as $1/H^3$. At small $E$ the effect is of order $E^2$ while at large fields it saturates to an $E$ independent value. We explain the results in terms of a decoupling mechanism between the charge density fluctuations of cations and anions at large applied fields., Comment: 6 pages, 2 figures

Published
2024

7. Uphill drift in the absence of current in single-file diffusion

Author

Sorkin, Benjamin and Dean, David S.

Subjects
Condensed Matter - Statistical Mechanics
Abstract

Single-file diffusion is a paradigmatic model for the transport of Brownian colloidal particles in narrow one-dimensional channels, such as those found in certain porous media, where the particles cannot cross each other. We consider a system where a different external uniform potential is present to the right and left of an origin. For example, this is the case when two channels meeting at the origin have different radii. In equilibrium, the chemical potential of the particles are equal, the density is thus lower in the region with the higher potential, and by definition there is no net current in the system. Remarkably, a single-file tracer particle initially located at the origin, with position denoted by $Y(t)$, exhibits an average up-hill drift toward the region of highest potential. This drift has the late time behavior $\langle Y(t)\rangle= C t^{1/4}$, where the prefactor $C$ depends on the initial particle arrangement. This surprising result is shown analytically by computing the first two moments of $Y(t)$ through a simple and physically-illuminating method, and also via extensive numerical simulations., Comment: 17 pages, 10 figures

Published
2024

11. Resisting to Exist and the Subtle Invisible Protest: Six Solution Focused Tactics about Challenging Behaviour

Author

Anita Z. Goldschmied and Dean-David Holyoake

Subjects
solution focused practice, 6D practice, challenging behaviour, resistance, resilience, psychotherapy, Psychiatry, RC435-571, Pediatrics, RJ1-570, Psychology, BF1-990
Abstract

According to Young Minds, ‘everyone gets angry sometimes’. Their website offers a number of de-escalating strategies, including staying calm, managing responses, and setting limits to help young people who most deem resistive. Yet, Young Minds are not alone because such logical advice is ubiquitous in the literature about challenging behaviour despite the fact that in our experience when faced with high states of arousal, most young people tend to act first and deal with the consequences later. It is not that they are stupid or non-caring, but they are human, capable of great feats as well as stupidity. The same is true for any claims that solution focused (SF) conversations can put right the several decades of psychological theory suggesting resistance requires logic and better cognition. By giving the correct thinking skills, young people will walk away from risk, avoid physical confrontation, handle challenging situations like logical thinkers, and generally discount that the process of growing up is part of the challenge. It is with this in mind that over recent years in our current SF practice (with staff group supervision), we have examined the concept of ‘resistance’ and how it can be put to use as a process of collaboration. To do this, we have revisited SF theory that preoccupied many of its pioneers during the 1980s and 1990s and attempted to make it useful for the early 2020s for professionals having conversations with young people, who, in traditional models, are labelled challenging. We want to introduce key differences of solution focused practice and how our research started to formulate a 6D-SF model (details, dynamics, dimensions, dispositions, dislocations, descriptions) for contemplating how groups of professionals relate to each other and are triggered by challenging behaviour. We do not claim to have proof, logic, or exactness on our side, but we are happy to suggest how our resistance mirrors what many of the staff teams feel and describe when working through their work.

Published
2024
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12. Single-file diffusion in spatially inhomogeneous systems

Author

Sorkin, Benjamin and Dean, David S.

Subjects
Condensed Matter - Statistical Mechanics
Abstract

We study the effect of spatially-varying potential and diffusivity on the dispersion of a tracer particle in single-file diffusion. Non-interacting particles in such a system exhibit normal diffusion at late times, which is characterised by an effective diffusion constant $D_\mathrm{eff}$. Here we demonstrate the physically appealing result that the dispersion of single-file tracers in this system has the same long-time behavior as that for Brownian particles in a spatially-homogeneous system with constant diffusivity $D_\mathrm{eff}$. Our results are based on a late-time analysis of the Fokker-Planck equation, motivated by the mathematical theory of homogenization. The findings are confirmed by numerical simulations for both annealed and quenched initial conditions., Comment: 14 pages, 5 figures

Published
2023

13. Interactions enhance dispersion in fluctuating channels via emergent flows

Author

Wang, Yating, Dean, David S., Marbach, Sophie, and Zakine, Ruben

Subjects
Condensed Matter - Soft Condensed Matter, Condensed Matter - Statistical Mechanics, Physics - Fluid Dynamics
Abstract

Understanding particle motion in narrow channels is essential to guide progress in numerous applications, from filtration to vascular transport. Thermal or active fluctuations of channel walls for fluid-filled channels can slow down or increase the dispersion of tracer particles. Entropic trapping in the wall bulges slows dispersion, and hydrodynamic flows induced by wall fluctuations enhance dispersion. Previous studies primarily concentrated on the case of a single Brownian tracer either embedded in an incompressible fluid or in the ideal case where the presence of fluid is ignored. Here we address the question of what happens when there is a large ensemble of interacting Brownian tracers -- a common situation in applications. Introducing repulsive interactions between the tracer particles, while ignoring the presence of a background fluid, leads to an effective flow field. This flow field enhances tracer dispersion, a phenomenon strongly reminiscent of that seen in incompressible background fluid. We characterise the dispersion by the long-time diffusion coefficient of a single tracer, numerically and analytically with a mean-field density functional analysis. We find a surprising effect where an increased particle density enhances the diffusion coefficient, challenging the notion that crowding effects tend to reduce diffusion. Here, inter-particle interactions push particles closer to the fluctuating channel walls. Then, interactions between the fluctuating wall and the now-nearby particles drive particle mixing. Our mechanism is sufficiently general that we expect it to apply to various systems. In addition, the perturbation theory we derive quantifies dispersion in generic advection-diffusion systems with arbitrary spatiotemporal drift., Comment: 18 pages + Appendices + Supplemental Material

Published
2023
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16. Effusion of stochastic processes on a line

Author

Dean, David S., Majumdar, Satya N., and Schehr, Gregory

Subjects
Condensed Matter - Statistical Mechanics, Mathematics - Probability
Abstract

We consider the problem of leakage or effusion of an ensemble of independent stochastic processes from a region where they are initially randomly distributed. The case of Brownian motion, initially confined to the left half line with uniform density and leaking into the positive half line is an example which has been extensively studied in the literature. Here we derive new results for the average number and variance of the number of leaked particles for arbitrary Gaussian processes initially confined to the negative half line and also derive its joint two-time probability distribution, both for the annealed and the quenched initial conditions. For the annealed case, we show that the two-time joint distribution is a bivariate Poisson distribution. We also discuss the role of correlations in the initial particle positions on the statistics of the number of particles on the positive half line. We show that the strong memory effects in the variance of the particle number on the positive real axis for Brownian particles, seen in recent studies, persist for arbitrary Gaussian processes and also at the level of two-time correlation functions., Comment: 19 pages, 2 figues

Published
2023
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19. Robert Forrant and Mary Anne Trasciatti, eds., Where Are the Workers? Labor's Stories at Museums and Historic Sites

Author

Dean, David

Subjects
Where Are the Workers? Labor's Stories at Museums and Historic Sites (Essay collection) -- Forrant, Robert -- Trasciatti, Mary Anne, Books -- Book reviews, Business, Human resources and labor relations, Business, international
Abstract

Robert Forrant and Mary Anne Trasciatti, eds., Where are the Workers? Labor's Stories at Museums and Historic Sites (Urbana, Chicago, and Springfield: University of Illinois Press, 2022) Robert Forrant, a [...]

Published
2024

20. Non-Gaussian diffusion near surfaces

Author

Alexandre, Arthur, Lavaud, Maxime, Fares, Nicolas, Millan, Elodie, Louyer, Yann, Salez, Thomas, Amarouchene, Yacine, Guérin, Thomas, and Dean, David S.

Subjects
Condensed Matter - Soft Condensed Matter, Condensed Matter - Statistical Mechanics, Physics - Classical Physics, Physics - Fluid Dynamics
Abstract

We study the diffusion of particles confined close to a single wall and in double-wall planar channel geometries where the local diffusivities depend on the distance to the boundaries. Displacement parallel to the walls is Brownian as characterized by its variance, but it is non-Gaussian having a non-zero fourth cumulant. Establishing a link with Taylor dispersion, we calculate the fourth cumulant and the tails of the displacement distribution for general diffusivity tensors along with potentials generated by either the walls or externally, for instance gravity. Experimental and numerical studies of the motion of a colloid in the direction parallel to the wall give measured fourth cumulants which are correctly predicted by our theory. Interestingly, contrary to models of Brownian-yet-non-Gaussian diffusion, the tails of the displacement distribution are shown to be Gaussian rather than exponential. All together, our results provide additional tests and constraints for the inference of force maps and local transport properties near surfaces.

Published
2022
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21. Nanoparticle Taylor dispersion near charged surfaces with an open boundary

Author

Vilquin, Alexandre, Bertin, Vincent, Raphaël, Elie, Dean, David S, Salez, Thomas, and McGraw, Joshua D.

Subjects
Condensed Matter - Soft Condensed Matter, Condensed Matter - Statistical Mechanics, Physics - Fluid Dynamics
Abstract

The dispersive spreading of microscopic particles in shear flows is influenced both by advection and thermal motion. At the nanoscale, interactions between such particles and their confining boundaries become unavoidable. We address the roles of electrostatic repulsion and absorption on the spatial distribution and dispersion of charged nanoparticles in near-surface shear flows, observed under evanescent illumination. The electrostatic repulsion between particles and the lower charged surface is tuned by varying electrolyte concentrations. Particles leaving the field of vision can be neglected from further analysis, such that the experimental ensemble is equivalent to that of Taylor dispersion with absorption. These two ingredients modify the particle distribution, deviating strongly from the Gibbs-Boltzmann one at the nanoscale studied here. The overall effect is to restrain the accessible space available to particles, leading to a striking, ten-fold reduction in the spreading dynamics as compared to the non-interacting case.

Published
2022
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22. Nuclear Forces for Precision Nuclear Physics -- a collection of perspectives

Author

Tews, Ingo, Davoudi, Zohreh, Ekström, Andreas, Holt, Jason D., Becker, Kevin, Briceño, Raúl, Dean, David J., Detmold, William, Drischler, Christian, Duguet, Thomas, Epelbaum, Evgeny, Gasparyan, Ashot, Gegelia, Jambul, Green, Jeremy R., Grießhammer, Harald W., Hanlon, Andrew D., Heinz, Matthias, Hergert, Heiko, Hoferichter, Martin, Illa, Marc, Kekejian, David, Kievsky, Alejandro, König, Sebastian, Krebs, Hermann, Launey, Kristina D., Lee, Dean, Navrátil, Petr, Nicholson, Amy, Parreño, Assumpta, Phillips, Daniel R., Płoszajczak, Marek, Ren, Xiu-Lei, Richardson, Thomas R., Robin, Caroline, Sargsyan, Grigor H., Savage, Martin, Schindler, Matthias R., Shanahan, Phiala E., Springer, Roxanne P., Tichai, Alexander, van Kolck, Ubirajara, Wagman, Michael L., Walker-Loud, André, Yang, Chieh-Jen, and Zhang, Xilin

Subjects
Nuclear Theory, High Energy Physics - Lattice, High Energy Physics - Phenomenology
Abstract

This is a collection of perspective pieces contributed by the participants of the Institute of Nuclear Theory's Program on Nuclear Physics for Precision Nuclear Physics which was held virtually from April 19 to May 7, 2021. The collection represents the reflections of a vibrant and engaged community of researchers on the status of theoretical research in low-energy nuclear physics, the challenges ahead, and new ideas and strategies to make progress in nuclear structure and reaction physics, effective field theory, lattice QCD, quantum information, and quantum computing. The contributed pieces solely reflect the perspectives of the respective authors and do not represent the viewpoints of the Institute for Nuclear theory or the organizers of the program., Comment: Perspective pieces of the virtual INT program 21-1b "Nuclear Forces for Precision Nuclear Physics", 107 pages

Published
2022
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24. How stickiness can speed up diffusion in confined systems

Author

Alexandre, Arthur, Mangeat, Matthieu, Guérin, Thomas, and Dean, David S.

Subjects
Condensed Matter - Statistical Mechanics
Abstract

The paradigmatic model for heterogeneous media used in diffusion studies is built from reflecting obstacles and surfaces. It is well known that the crowding effect produced by these reflecting surfaces slows the dispersion of Brownian tracers. Here, using a general adsorption desorption model with surface diffusion, we show analytically that making surfaces or obstacles attractive can accelerate dispersion. In particular, we show that this enhancement of diffusion can exist even when the surface diffusion constant is smaller than that in the bulk. Even more remarkably, this enhancement effect occurs when the effective diffusion constant, when restricted to surfaces only, is lower than the effective diffusivity with purely reflecting boundaries. We give analytical formulas for this intriguing effect in periodic arrays of spheres as well as undulating micro-channels. Our results are confirmed by numerical calculations and Monte Carlo simulations.

Published
2021
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25. Stroke in critically ill patients with respiratory failure due to COVID-19: Disparities between low-middle and high-income countries

Author

Al-Dabbous, Tala, Alfoudri, Huda, Shamsah, Mohammed, Alfroukh, Khadeejeh, Bairmani, Zinah Aqeel Abdulzahra, Khalid, Khalid Jehad, Abukhalaf, Salsabeel M.A., Hadhoud, Mohammed Maher, Abdrabo, Mohamed Fouad, Fathi, Mohamed, Alhouri, Hasan, Shahla, Dr Hamza, Alhadad, Qamrah, Hanan, Matly, Elapavaluru, Subbarao, Berg, Ashley, Horn, Christina, Abdelhalim, Ahmed Reda Mohamed Elsayed, Amer, Amro Essam, Elnaggar, Cinderella Omar Rageh, Hassan, Ahmed Ayman, Abdelaziz, Ali, Abdelhalim, Mohamed, Orabi, Yehia Samir Shaaban Aly, Alaraji, Zinah A., Muhaisen, Mo'nes R., Almasri, Lana, Mustafa, Dana, Hamdan, Shaher, Al-Saba'a, Yousef, Dalloul, Zaina, Alkahlout, Mohammed, Jaber, Hamza, Aldabbourosama, Osama, Abdalhadi, Alaa Abdalfattah, Hussein, Aliae AR Mohamed, Emad, Zarief Kamel, Khaled, Sarah, Mohamed, Nouralsabah, Hassanin, Ebtisam, Hamdi, Abdelhafeez, Gamal, May, Emad, Ahmed, Ragab, Abdelrahman, Azizeldin, Mohammed G, Hamza, Almthani, Omer, Alsarrah Ali Mohammed, Fadl alla, Asgad Osman Abdalla, Abdallahrs, Asia Atif Abdelrahman, Eltayeb, Aml Ahmed, Alhasan, Maali khalid mohamed abdalla, Abdelgaum, Esraa Hassan, Ahmed, Aya Mustafa, Abdulbaqi, Lamees Adil, Mohammedelhassan, Omer Abdullah, Ahmed, Musaab Mohammed Mohammed, Ali, Maha TagElser Mohammed, Mayasi, Yunis, Schroll, Stephan, Meyer, Dan, Velazco, Jorge, Ploskanych, Ludmyla, Fikes, Wanda, Bagewadi, Rohini, Dao, Marvin, White, Haley, Laviena, Alondra Berrios, Ehlers, Ashley, Shalabi-McGuire, Maysoon, Witt, Trent, Grazioli, Lorenzo, Lorini, Luca, Grandin, E. Wilson, Nunez, Jose, Reyes, Tiago, O'Briain, Diarmuid, Hunter, Stephanie, Ramanan, Mahesh, Affleck, Julia, Veerendra, Hemanth Hurkadli, Rai, Sumeet, Russell-Brown, Josie, Nourse, Mary, Joseph, Mark, Mitchell, Brook, Tenzer, Martha, Abe, Ryuzo, Cho, Hwa Jin, Jeong, In Seok, Rahman, Nadeem, Kakar, Vivek, Tamimi, Ahmed, Zabalawi, Diala, Elhennawi, Mohamed, Ghisulal, Praveen, Malik, Sadaf, Brozzi, Nicolas, Mehkri, Omar, Krishnan, Sudhir, Duggal, Abhijit, Houltham, Stuart, Graf, Jerónimo, Diaz, Roderigo, Orrego, Roderigo, Delgado, Camila, González, Joyce, Sanchez, Maria Soledad, Piagnerelli, Michael, Sarrazin, Josefa Valenzuela, Zabert, Prof. Gustavo, Espinosa, Lucio, Delgado, Paulo, Delgado, Victoria, Rincón, Diego Fernando Bautista, Yanten, Angela Maria Marulanda, Duque, Melissa Bustamante, Brodie, Daniel, Abouelmagd, Khaled, Elhazmi, Alyaa, Al-Hudaib, Abdullah, Javidfar, Jeff, Callahan, Maria, Dong, Andy, D'Orleans, Charles Crepy, Taufik, M. Azhari, Wardoyo, Elizabeth Yasmin, Gunawan, Margaretha, Trisnaningrum, Nurindah S, Irawany, Vera, Rayhan, Muhammad, Panigada, Mauro, Pesenti, Antonio, Zanella, Alberto, Grasselli, Giacomo, Colombo, Sebastiano, Martinet, Chiara, Florio, Gaetano, Antonelli, Massimo, Carelli, Simone, Grieco, Domenico L., Asaki, Motohiro, Hoshino, Kota, Salazar, Leonardo, Monsalve, Mary Alejandra Mendoza, Laffey, John, McNicholas, Bairbre, Cosgrave, David, Atif, Minha, Qutishat, Fadi, Laffey, Caoimhe, Van Der Walt, Michaeal, McCaffrey, Joseph, Bone, Allison, Trickey, Jemma, Horton, Michelle, Pearce, Stephanie, Salerno, Tania, Mohamed, Akram, Alhaddad, Salem, Bakeer, Baliad, Haitam, Shames, Shalabi, Laila, Ahmed, Mohammed Abodina, Hakeem, Yusuff, Winearls, James, Tallott, Mandy, Thomson, David, Joubert, Ivan, Arnold-Day, Christel, Piercy, Jenna, Smit, Richard van Zyl, Miller, Malcom, Seymour, Lisa, van Heyningen, Francois, Teyangesikayi, Gilbert, Fredericks, David, Hssain, Ali Ait, Aliudin, Jeffrey, Alqahtani, Al-Reem, Mohamed, Khoulod, Mohamed, Ahmed, Tan, Darwin, Villanueva, Joy, Zaqout, Ahmed, Labib, Ahmed, Kurtzman, Ethan, Ademi, Arben, Dobrita, Ana, Aoudi, Khadija El, Segura, Juliet, Giwangkancana, Gezy, Ohshimo, Shinichiro, Osatnik, Javier, Joosten, Anne, Torres, Antoni, Yang, Minlan, Motos, Ana, Luna, Carlos, Arancibia, Francisco, Williams, Virginie, Noel, Alexandre, Luque, Nestor, Fantini, Marina, García, Ruth Noemi Jorge, Alvarez, Enrique Chicote, Greti, Anna, Ceccato, Adrian, Sanchez, Angel, Vazquez, Ana Loza, Roche-Campo, Ferran, Franch-Llasat, Diego, Tuazon, Divina, Amato, Marcelo, Cassimiro, Luciana, Pola, Flavio, Ribeiro, Francis, Fonseca, Guilherme, Dalton, Heidi, Desai, Mehul, Osborn, Erik, Deeb, Hala, Arcadipane, Antonio, Martucci, Gennaro, Panarello, Giovanna, Vitiello, Stefano, Bianco, Claudia, Occhipinti, Giovanna, Rossetti, Matteo, Cuffaro, Raffaele, Siddig, Nidhal, Cho, Sung-Min, Whitman, Glenn, Sayed, Marwan El, Mokhtar, Walaa, El-Shenawy, Eslam, Shimizu, Hiroaki, Moriyama, Naoki, Kim, Jae-Burm, Kitamura, Nobuya, Gebauer, Johannes, Yokoyama, Toshiki, Al-Fares, Abdulrahman, Buabbas, Sarah, Alamad, Esam, Alawadhi, Fatma, Alawadi, Kalthoum, Khalefa, Mohamed Ahmed, Ajeel, Nourah Ahmad Abdulaziz Al, Aly, Mohammad Fathy, Al-Saleh, Abdullah, Naanouh, Abdullah, Elshourbgy, Alaa Mohammed, Gad, Mohamed Yousef, ElRazaz, Rania Mohamed, Khadadah, Ibrahim, Almumin, Ahmed Mohammed, Altarakma, Hala, Albannay, Hasan, Alsaleh, Mohammed Kh, Radwan, Mahmoud Saad Abdallah, Saadallah, Islam Ahmed, Tanaka, Hiro, Hashimoto, Satoru, Yamazaki, Masaki, Oh, Tak-Hyuck, Epler, Mark, Forney, Cathleen, Kruse, Louise, Feister, Jared, Williamson, Joelle, Grobengieser, Katherine, Gnall, Eric, Golden, Sasha, Caroline, Mara, Shapiro, Timothy, Karaj, Colleen, Thome, Lisa, Sher, Lynn, Vanderland, Mark, Welch, Mary, McDermott, Sherry, Brain, Matthew, Mineall, Sarah, Unwin, Maria, Chen, Lixian, Trezise, Tarnya, McKeon, Laurie, Kimura, Dai, Brazzi, Luca, Sales, Gabriele, Montrucchio, Giorgia, Ogston, Tawnya, Nagpal, Dave, Fischer, Karlee, Lorusso, Roberto, van Bussell, Bas, De Piero, Maria Elena, Mariani, Silvia, Rangappa, Dr Rajavardhan, Shetty, Dr Rajesh Mohan, P, Sujin Rai, Ganesan, Argin, Tharwat, Samar, Esperatti, Mariano, Fuentes, Nora Angélica, Gonzalez, Maria Eugenia, Carton, Edmund G., Sen, Ayan, Palacios, Amanda, Rainey, Deborah, Samoukoviv, Gordan, Campisi, Josie, Durham, Lucia, Neumann, Emily, Seefeldt, Cassandra, Falcucci, Octavio, Emmrich, Amanda, Guy, Jennifer, Johns, Carling, Potzner, Kelly, Zimmermann, Catherine, Espinal, Angelia, Buchtele, Nina, Schwameis, Michael, Korhnfehl, Andrea, Brock, Roman, Staudinger, Thomas, Stecher, Stephanie-Susanne, Barnikel, Michaela, Antón, Sófia, Pawlikowski, Alexandra, Zaaqoq, Akram, Galloway, Lan Anh, Merley, Caitlin, Muftah, Mohamed, Nichol, Alistair, Csete, Marc, Quesada, Luisa, Saba, Isabela, Kasugai, Daisuke, Hiraiwa, Hiroaki, Tanaka, Taku, Marwali, Eva, Purnama, Yoel, Dewayanti, Santi Rahayu, Ardiyan, Juzar, Dafsah Arifa, Siagian, Debby, Chen, Yih-Sharng, Aldhalia, Amer, Ogino, Mark, Nasa, Prashant, Matthew, Christina, Majeed, Nimisha Abdul, Hafez, Wael, Ratsep, Indrek, Post, Andra-Maris, Sillaots, Piret, Krund, Anneli, Lehiste, Merili-Helen, Lepik, Tanel, Manetta, Frank, Mihelis, Effe, Sarmiento, Iam Claire, Narasimhan, Mangala, Varrone, Michael, Komats, Mamoru, Garcia-Diaz, Julia, Harmon, Catherine, Satyapriya, S. Veena, Bhatt, Amar, Mokadam, Nahush A., Uribe, Alberto, Gonzalez, Alicia, Shi, Haixia, McKeown, Johnny, Pasek, Joshua, Fiorda, Juan, Echeverria, Marco, Moreno, Rita, Zakhary, Bishoy, Cavana, Marco, Cucino, Alberto, Foti, Giuseppe, Giani, Marco, Fumagalli, Benedetta, Chiumello, Davide, Castagna, Valentina, Dell'Amore, Andrea, Navalesi, Paolo, Shum, Hoi-Ping, Vuysteke, Alain, Usman, Asad, Acker, Andrew, Smood, Benjamin, Mergler, Blake, Sertic, Federico, Subramanian, Madhu, Sperry, Alexandra, Rizer, Nicolas, Burhan, Erlina, Rasmin, Menaldi, Akmal, Ernita, Sitompul, Faya, Lolong, Navy, Naivedh, Bhat, Erickson, Simon, Barrett, Peter, Dean, David, Daugherty, Julia, Loforte, Antonio, Khan, Irfan, Quraishi, Mohammed Abraar, DeSantis, Olivia, Nasrallah, Ahmad, So, Dominic, Kandamby, Darshana, Mandei, Jose M., Natanael, Hans, YudhaLantang, Eka, Lantang, Anastasia, Wijaya, Surya Oto, Jung, Anna, Ng, George, Ng, Wing Yiu, Ng, Pauline Yeung, Fang, Shu, Tabah, Alexis, Ratcliffe, Megan, Duroux, Maree, Alajeeli, Ahmed, Tarhabat, Ali, Adachi, Shingo, Nakao, Shota, Blanco, Pablo, Prieto, Ana, Sánchez, Jesús, Nicholson, Meghan, Butt, Warwick, Serratore, Alyssa, Delzoppo, Carmel, Janin, Pierre, Yarad, Elizabeth, Totaro, Richard, Coles, Jennifer, Pujo, Bambang, Balk, Robert, Vissing, Andy, Kapania, Esha, Hays, James, Fox, Samuel, Yantosh, Garrett, Mishin, Pavel, Adem, Safia, Yuliarto, Saptadi, Santoso, Kohar Hari, Djajalaksana, Susanthy, Fatoni, Arie Zainul, Fukuda, Masahiro, Liu, Keibun, Pelosi, Paolo, Battaglini, Denise, Robba, Chiara, Jiménez, Juan Fernando Masa, Bastos, Diego, Gaião, Sérgio, Rusmawatiningtyas, Desy, Cho, Young-Jae, Lee, Su Hwan, Kawasaki, Tatsuya, Munshi, Laveena, Sakiyalak, Pranya, Nitayavardhana, Prompak, Elagili, Mohamed Bashir, Salem, Talat Ahmed Abu, Seitz, Tamara, Arora, Rakesh, Kent, David, Marino, Daniel, Parwar, Swapnil, Cheng, Andrew, Miller, Jennene, Fujitani, Shigeki, Shimizu, Naoki, Madhok, Jai, Owyang, Clark, Buscher, Hergen, Reynolds, Claire, Abdurraouf, Abusalama, Kredan, Ali Abdulnasir, Haddud, Abdurrahman, Moharam, Saad, Maasikas, Olavi, Beljantsev, Aleksan, Mihnovits, Vladislav, Akimoto, Takako, Aizawa, Mariko, Horibe, Kanako, Onodera, Ryota, Hodgson, Carol, Burrell, Aidan, Young, Meredith, George, Timothy, Shekar, Kiran, McGuinness, Niki, Irvine, Lacey, Flynn, Brigid, Almjersah, Abdulrahman, Bakri, Ashraf, Endo, Tomoyuki, Sugiyama, Kazuhiro, Shimizu, Keiki, Fan, Eddy, Exconde, Kathleen, Ichiba, Shingo, Binnawara, Muhannud, Embarek, Hussein, Lussier, Leslie, Lotz, Gösta, Malfertheiner, Maximilian, Maier, Lars, Dreier, Esther, Kusumastuti, Neurinda Permata, McCloskey, Colin, Dabaliz, Al-Awwab, Elshazly, Tarek B, Smith, Josiah, Szuldrzynski, Konstanty S., Bielański, Piotr, Wille, Keith, Murthy, Srinivas, Parhar, Ken Kuljit S., Fiest, Kirsten M., Codan, Cassidy, Shahid, Anmol, Fayed, Mohamed, Evans, Timothy, Garcia, Rebekah, Gutierrez, Ashley, Song, Tae, Rose, Rebecca, Bennett, Suzanne, Richardson, Denise, Peek, Giles, Arora, Lovkesh, Rappapport, Kristina, Rudolph, Kristina, Sibenaller, Zita, Stout, Lori, Walter, Alicia, Herr, Daniel, Vedadi, Nazli, Bartlett, Robert, Thompson, Shaun, Hoffman, Julie, Ying, Xiaonan, Williams, Bailey, Sanchez, Emely, Akwani, Chika, Kennedy, Ryan, Elhadi, Muhammed, Griffee, Matthew, Mone, Mary, Ciullo, Anna, Kida, Yuri, Roca, Ricard Ferrer, Riera, JordI, Contreras, Sofia, Alegre, Cynthia, Kay, Christy, Fischer, Irene, Renner, Elizabeth, Taniguci, Hayato, Lee, James, Plotkin, Daniel, Citarella, Barbara Wanjiru, Merson, Laura, Hartley, Emma, Lubis, Bastian, Ikeyama, Takanari, Mortada, Alshaymaa, Alhamad, Ameen, Mechi, Ahmed, Nadar, Islam Mohsen Ali Mohamed Hassan, Alyasiri, Mohammed Saleh, Elsaid, Muhammed Zainab Alghali, Bhaskar, Balu, Jung, Jae-Seung, McGuinness, Shay, Eastwood, Glenn, Marta, Sandra Rossi, Guarracino, Fabio, Gerle, Stacy, Coxon, Emily, Claro, Bruno, Aldressi, Wafa, Eleisawy, Mahmoud, Osama, Hasnaa, Loverde, Daniel, Patil, Namrata, Parrini, Vieri, McBride, Angela, Negaard, Kathryn, Ratsch, Angela, Abdelaziz, Ahmad, Uribe, Juan David, Peris, Adriano, Sanders, Mark, Emerson, Dominic, Kamal, Muhammad, Faida, Hamza, Povoa, Pedro, Francis, Roland, Cherif, Ali, Joseph, Sunimol, Nardo, Matteo Di, Heard, Micheal, Kyle, Kimberly, Blackwell, Ray A, OUYAHIA, Amel, Biston, Patrick, Jeong, Hye Won, Smith, Reanna, Prawira, Yogi, Garcia, Arturo Huerta, Salterain, Nahikari, Meyns, Bart, Elnasser, Muhammed, Moreno, Marsha, Walia, Rajat, Mehta, Amit, Schweda, Annette, Williams, Melissa, Amkhatirah, Emad, Kim, Kyung Hoon, Assad, Alexandra, Giraldo, Estefania, Karolak, Wojtek, Balik, Martin, Pocock, Elizabeth, Gajkowski, Evan, Bedair, Mohamed, Masafumi, Kanamoto, Barrett, Nicholas, Takeyama, Yoshihiro, Park, Sunghoon, Amin, Faizan, Andriyani, Fina Meilyana, Sudakevych, Serhii, Schnur, Janos, Vera, Magdalena, Cornejo, Rodrigo, Schwarz, Patrícia, Mardini, Ana Carolina, de Paula, Thais, Neto, Ary Serpa, Villoldo, Andrea, Colafranceschi, Alexandre Siciliano, Iglesias, Alejandro Ubeda, Granjean, Juan, Melro, Lívia Maria Garcia, Romualdo, Giovana Fioravante, Gaia, Diego, Souza, Helmgton, Galas, Filomena, Mendiluce, Rafael Máñez, Sosa, Alejandra, Martinez, Ignacio, Kurosawa, Hiroshi, Almoshantaf, Mohammad Badr, Salgado, Juan, Hugi-Mayr, Beate, Charbonneau, Eric, Barzilai, Vitor Salvatore, Monteiro, Veronica, de Souza, Rodrigo Ribeiro, Harper, Michael, Suzuki, Hiroyuki, Adams, Celina, Brieva, Jorge, Khamees, Almu'atasim, Graige, Fadi, Supriatna, Moh, Nyale, George, Eltatar, Faisal Saleem, Fatani, Jihan, Baeissa, Husam, Masri, Ayman AL, Rabie, Ahmed, Hui, Mok Yee, Yamane, Masahiro, Jung, Hanna, Margaret, Ayorinde Mojisola, Nacpil, Newell, Ruck, Katja, Bakken, Rhonda, Jara, Claire, Felton, Tim, Berra, Lorenzo, Shah, Bobby, Chakraborty, Arpan, Cardona, Monika, Capatos, Gerry, Akkanti, Bindu, Orija, Abiodun, Jain, Harsh, Ito, Asami, Housni, Brahim, Low, Sennen, Iihara, Koji, Chavez, Joselito, Ramanathan, Kollengode, Zabert, Gustavo, Naidoo, Krubin, Seppelt, Ian, VanDyk, Marlice, MacDonald, Sarah, McGregor, Randy, Siebenaler, Teka, Flynn, Hannah, Lofton, Kristi, Aokage, Toshiyuki, Kvirkvelia, Bakar, Shigemitsu, Kazuaki, Moscatelli, Andrea, Fiorentino, Giuseppe, Baumgaertel, Matthias, Mba, Serge Eddy, Assy, Jana, Hutahaean, Amelya, Roush, Holly, Sichting, Kay A, Alessandri, Francesco, Burns, Debra, Alkhubouli, Taha Husayn, Salt, Gavin, Garabedian, Carl P., Millar, Jonathan, Sim, Malcolm, Mattke, Adrian, McAuley, Danny, Tadili, Jawad, Frenzel, Tim, Abuleil, Amro, Bar-Lavie, Yaron, Ortiz, Aaron Blandino, Stone, Jackie, Attokaran, Antony, Farquharson, Michael, Patel, Brij, Gunning, Derek, Baillie, Kenneth, Watson, Pia, Tamai, Kenji, Saaid, Ayoub, Anania, Pasquale, Sajinadiyasa, Gede Ketut, Kanyawati, Dyah, Salgado, Marcello, Sassine, Assad, Yudo, Bhirowo, McCaul, Scott, Lee, Bongjin, Lee, Sang Min, Afek, Arnon, Fattouh, Shimaa E, Iwashita, Yoshiaki, Fadlalmola, Hammad, Semedi, Bambang Pujo, Mansour, Noureldin Mohamed, Metiva, Jack, Van Belle, Nicole, Martin-Loeches, Ignacio, Al-Sadawi, Dr Mohammed, Kirakli, Cenk, Shimaa, Al-Touny, Ivatt, Lenny, Woon, Chia Yew, Kang, Hyun Mi, Smith, Timothy, James, Erskine, Al-Rawas, Nawar, Iwasaki, Yudai, Ashour, Hamza, King-Chung, Kenny Chan, Gudzenko, Vadim, Taccone, Fabio, Perdhana, Fajar, Lamarche, Yoan, Ribeiro, Joao Miguel, Bradic, Nikola, Van den Bossche, Klaartje, Lansink, Oude, Singh, Gurmeet, Debeuckelaere, Gerdy, Stelfox, Henry T., Yi, Cassia, Elia, Jennifer, Tribble, Thomas, Shankar, Shyam, Padmanabhan, Raj, Hallinan, Bill, Paoletti, Luca, Leyva, Yolanda, Fykuda, Tatuma, Badulak, Jenelle, Koch, Jillian, Janowaik, Lisa, Hackman, Amy, Hernandez, Deb, Osofsky, Jennifer, Donadello, Katia, Lawang, Aizah, Fine, Josh, Davidson, Benjamin, Vazquez, Andres Oswaldo Razo, Abdehaleem, Ibrahim, Kelly, Thu-Lan, Fanning, Jonathon, Premraj, Lavienraj, Porto, Diego Bastos, White, Nicole M., Bassi, Gianluigi Li, Suen, Jacky, and Fraser, John F.

Published
2024
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26. A Design Thinking Approach to Teaching Sustainability

Author

Manna, Valerie, Rombach, Meike, Dean, David, and Rennie, Hamish G.

Abstract

Understanding sustainability requires a system-wide perspective to guide the interpretation of problems and conceptualization of solutions. A lake sustainability Trust provided an opportunity for students to gain this perspective by examining societal, commercial, and environmental policy perspectives associated with a local endangered lake and surrounding wetlands. This was an ideal project to bring sustainability issues to life for students but was too complex for a single class to attack. This article describes a multicourse initiative that sought to heighten students' awareness of sustainability issues using a design thinking problem-solving approach. Interviews conducted revealed concerns that educators may have in considering similar projects. The authors respond to these perceived obstacles with recommendations and a discussion of mitigation strategies. In addition to the Trust gaining direction, the design and implementation of this cross-course experiential learning initiative allowed Marketing Research and Product Design students to develop an appreciation for macrolevel sustainability issues, and environmental policy students to appreciate the value of marketing research in the development of land use plans.

Published
2022
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30. Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms

Author

Moharam, S.A., Abdalasalam, Sabriya, Abdalhadi, Alaa Abdalfattah, Abdalla, Naana Reyam, Abdalla, Walaa, Abdalrheem, Almthani Hamza, Abdalsalam, Ashraf, Abdeewi, Saedah, Abdelgaum, Esraa Hassan, Abdelhalim, Mohamed, Abdelkabir, Mohammed, Abdelrahman, Israa, Abdukahil, Sheryl Ann, Abdulbaqi, Lamees Adil, Abdulhamid, Salaheddin, Abdulhamid, Widyan, Abdulkadir, Nurul Najmee, Abdulwahed, Eman, Abdunabi, Rawad, Abe, Ryuzo, Abel, Laurent, Abodina, Ahmed Mohammed, Abrous, Amal, Absil, Lara, Jabal, Kamal Abu, Salah, Nashat Abu, Abusalama, Abdurraouf, Abuzaid, Tareg Abdallah, Acharya, Subhash, Acker, Andrew, Adam, Elisabeth, Adem, Safia, Ademnou, Manuella, Adewhajah, Francisca, Adrião, Diana, Afum-Adjei Awuah, Anthony, Agbogbatey, Melvin, Al Ageel, Saleh, Ahmed, Aya Mustafa, Ahmed, Musaab Mohammed, Ahmed, Shakeel, Alaraji, Zainab Ahmed, Elhefnawy Enan, Abdulrahman Ahmed, Ahmed Khalil, Reham Abdelhamid, Ahmed Mohamed Abdelaziz, Ali Mostafa, Ainscough, Kate, Airlangga, Eka, Aisa, Tharwat, Aisha, Ali, Aisha, Bugila, Hssain, Ali Ait, Tamlihat, Younes Ait, Akimoto, Takako, Akmal, Ernita, Akwani, Chika, Al Qasim, Eman, Alajeeli, Ahmed, Alali, Ahmed, Alalqam, Razi, Alameen, Aliya Mohammed, Al-Aquily, Mohammed, Alaraji, Zinah A., Albakry, Khalid, Albatni, Safa, Alberti, Angela, Aldabbourosama, Osama, Al-dabbous, Tala, Aldhalia, Amer, Aldoukali, Abdulkarim, Alegesan, Senthilkumar, Alessi, Marta, Alex, Beatrice, Alexandre, Kévin, Al-Fares, Abdulrahman, Alflite, Asil, Alfoudri, Huda, Alhadad, Qamrah, Alhaddad, Hoda Salem, Mohamed Abdalla Alhasan, Maali Khalid, Alhouri, Ahmad Nabil, Alhouri, Hasan, Ali, Adam, Ali, Imran, TagElser Mohammed Ali, Maha, Abbas, Syed Ali, Abdelghafar, Yomna Ali, Sheikh, Naseem Ali, Alidjnou, Kazali Enagnon, Aljadi, Mahmoud, Aljamal, Sarah, Alkahlout, Mohammed, Alkaseek, Akram, Alkhafajee, Qabas, Allavena, Clotilde, Allou, Nathalie, Almasri, Lana, Almjersah, Abdulrahman, Alqandouz, Raja Ahmed, Alrfaea, Walaa, Alrifaee, Moayad, Alsaadi, Rawan, Al-Saba'a, 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Auchabie, Johann, Aumaitre, Hugues, Auvet, Adrien, Ali Mohammed, Abdelmalek Awad, Axelsen, Eyvind W., Ayad, Ared, Hassan Helmi, Ahmed Ayman, Azemar, Laurène, Azizeldin, Mohammed, Azoulay, Cecile, Babatunde, Hakeem, Bach, Benjamin, Bachelet, Delphine, Badr, Claudine, Bævre-Jensen, Roar, Baig, Nadia, Baillie, John Kenneth, Baird, J Kevin, Bak, Erica, Bakakos, Agamemnon, Bakar, Nazreen Abu, Bakeer, Hibah Bileid, Bakri, Ashraf, Bal, Andriy, Balakrishnan, Mohanaprasanth, Bandoh, Irene, Bani-Sadr, Firouzé, Barbalho, Renata, Barbosa, Nicholas Yuri, Barclay, Wendy S., Barnett, Saef Umar, Barnikel, Michaela, Barrasa, Helena, Barrigoto, Cleide, Bartoli, Marie, Baruch, Joaquín, Basmaci, Romain, Basri, Muhammad Fadhli Hassin, Batool, AbdAlkarim, Battaglini, Denise, Bauer, Jules, Bautista Rincon, Diego Fernando, Dow, Denisse Bazan, Beane, Abigail, Bedossa, Alexandra, Bee, Ker Hong, Begum, Husna, Behilill, Sylvie, Beishuizen, Albertus, Beljantsev, Aleksandr, Bellemare, David, Beltrame, Anna, 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D'Alessandro, Umberto, Daley, Peter, Dalloul, Zaina, Dalton, Heidi, Dalton, Jo, Daly, Seamus, Damas, Juliana, Dame, Joycelyn, Damien, Cammandji, Daneman, Nick, Dantas, Jorge, D'Aragon, Frédérick, de Loughry, Gillian, de Mendoza, Diego, De Montmollin, Etienne, França, Rafael Freitas de Oliveira, Isabel de Pinho Oliveira, Ana, De Rosa, Rosanna, De Rose, Cristina, de Silva, Thushan, de Vries, Peter, Deacon, Jillian, Dean, David, Debard, Alexa, DeBenedictis, Bianca, Debray, Marie-Pierre, DeCastro, Nathalie, Dechert, William, Decours, Romain, Defous, Eve, Delacroix, Isabelle, Delamou, Alexandre, Delaveuve, Eric, Delavigne, Karen, Delfos, Nathalie M., Deligiannis, Ionna, Dell'Amore, Andrea, Delmas, Christelle, Delobel, Pierre, Delsing, Corine, Demonchy, Elisa, Denis, Emmanuelle, Deplanque, Dominique, Depuydt, Pieter, Descamps, Diane, Desvallées, Mathilde, Dewayanti, Santi, Dhangar, Pathik, Diallo, Alpha, Diallo, Souleymane Taran, Diamantis, Sylvain, Dias, André, Da Silva, Fernanda Dias, 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Massimo, Gagnard, Jean-Charles, Gagneux-Brunon, Amandine, Gai, Abdou, Gaião, Sérgio, Skeie, Linda Gail, Galal Mohamed Ramadan, Adham Mohamed, Gallagher, Phil, Gamble, Carrol, Gani, Yasmin, Garan, Arthur, Garcia, Rebekha, Garcia-Diaz, Julia, Garcia-Gallo, Esteban, Garimella, Navya, Garot, Denis, Garrait, Valérie, Gauli, Basanta, Gavrylov, Anatoliy, Gaymard, Alexandre, Gebauer, Johannes, Geraud, Eva, Morlaes, Louis Gerbaud, Germano, Nuno, Ghemmeid, Malak, Ghisulal, Praveen Kumar, Ghosn, Jade, Giani, Marco, Gigante, Tristan, Gilroy, Elaine, Giordano, Guillermo, Girvan, Michelle, Gissot, Valérie, Giwangkancana, Gezy, Glikman, Daniel, Glybochko, Petr, Gnall, Eric, Goco, Geraldine, Goehringer, François, Goepel, Siri, Goffard, Jean-Christophe, Goh, Jin Yi, Golács, Brigitta, Golob, Jonathan, Gomez, Kyle, Gómez-Junyent, Joan, Gominet, Marie, Gonzalez, Alicia, Gordon, Patricia, Gorenne, Isabelle, Goubert, Laure, Goujard, Cécile, Goulenok, Tiphaine, Grable, Margarite, Graf, Jeronimo, Grandin, Edward Wilson, Granier, Pascal, Grasselli, Giacomo, Grazioli, Lorenzo, Green, Christopher A., Greene, Courtney, Greenhalf, William, Greffe, Segolène, Grieco, Domenico Luca, Griffee, Matthew, Griffiths, Fiona, Grigoras, Ioana, Groenendijk, Albert, Grovogui, Fassou Mathias, Gruner, Heidi, Gu, Yusing, Guedj, Jérémie, Guego, Martin, Guerguerian, Anne-Marie, Guerreiro, Daniela, Guery, Romain, Guillaumot, Anne, Guilleminault, Laurent, Guimarães de Castro, Maisa, Guimard, Thomas, Haalboom, Marieke, Haber, Daniel, Hachemi, Ali, Haddud, Abdurrahman, Hadri, Nadir, Hafez, Wael, Haidri, Fakhir Raza, Rida Hajij, Fatima Mhd, Hakak, Sheeba, Hall, Adam, Hall, Matthew, Halpin, Sophie, Hamdan, Shaher, Hamdi, Abdelhafeez, Hameed, Jawad, Hamer, Ansley, Hamers, Raph L., Hamidfar, Rebecca, Hammarström, Bato, Hammond, Naomi, Hammond, Terese, Han, Lim Yuen, Hanan, Matly, Haniffa, Rashan, Hao, Kok Wei, Hardwick, Hayley, Harrison, Ewen M., Harrison, Janet, Ekow Harrison, Samuel Bernard, Hartman, Alan, Hasan, Sulieman, Nabil Hasan, Mohammad Ali, Hasan, Mohd Shahnaz, Hashmi, Junaid, Hashmi, Madiha, Hassan, Amoni, Hassanin, Ebtisam, Hayat, Muhammad, Hayes, Ailbhe, Hays, Leanne, Heerman, Jan, Heggelund, Lars, Helmi, Ahmed, Hendry, Ross, Hennessy, Martina, Henriquez-Trujillo, Aquiles Rodrigo, Hentzien, Maxime, Hernandez, Diana, Hershey, Andrew, Hesstvedt, Liv, Hidayah, Astarini, Higgins, Eibhlin, Higgins, Rupert, Hinton, Samuel, Hiraiwa, Hiroaki, Hirkani, Haider, Hitoto, Hikombo, Ho, Antonia, Ho, Yi Bin, Hoctin, Alexandre, Hoffmann, Isabelle, Hoh, Wei Han, Hoiting, Oscar, Holt, Rebecca, Holter, Jan Cato, Horby, Peter, Horcajada, Juan Pablo, Houas, Ikram, Houderi, Mabrouka, Hough, Catherine L., Houltham, Stuart, Ming-Yang Hsu, Jimmy, Hulot, Jean-Sébastien, Hurd, Abby, Hussain, Iqbal, Hussein, Aliae Mohamed, Hussein, Mahmood, Ibrahim, Fatima, Ibran, Bashir, Ijaz, Samreen, Ikram, M. Arfan, Illana, Carlos Cañada, Imbert, Patrick, Ansari, Muhammad Imran, Sikander, Rana Imran, Inácio, Hugo, Dominguez, Carmen Infante, Ing, Yun Sii, Ippolito, Mariachiara, Irawany, Vera, Isgett, Sarah, Isidoro, Tiago, Ismail, Nadiah, Isnard, Margaux, Istre, Mette Stausland, Itai, Junji, Ivulich, Daniel, Jaafar, Danielle, Jaafoura, Salma, Jaber, Hamza, Jabot, Julien, Jackson, Clare, Jagne, Abubacarr, Jaureguiberry, Stéphane, Jaworsky, Denise, Jego, Florence, Jelani, Anilawati Mat, Jenum, Synne, Jimbo-Sotomayor, Ruth, Joe, Ong Yiaw, Jorge García, Ruth Noemí, Jørgensen, Silje Bakken, Joseph, Cédric, Joseph, Mark, Joshi, Swosti, Jourdain, Mercé, Jouvet, Philippe, Jung, Anna, Jung, Hanna, Juzar, Dafsah, Kafif, Ouifiya, Kaguelidou, Florentia, Kaisbain, Neerusha, Kaleesvran, Thavamany, Kali, Sabina, Kalleberg, Karl Trygve, Kalomoiri, Smaragdi, Ayadi Kamaluddin, Muhammad Aisar, Kamano, Armand Saloun, Che Kamaruddin, Zul Amali, Kamarudin, Nadiah, Kamineni, Kavita, Kandamby, Darshana Hewa, Kang, Kong Yeow, Kanwal, Darakhshan, Kanyawati, Dyah, Karghul, Mohamed, Karpayah, Pratap, Karsies, Todd, Kartsonaki, Christiana, Kasugai, Daisuke, Katz, Kevin, Kay, Christy, Kayyali, Lamees, Keating, Seán, Kedia, Pulak, Kelly, Andrea, Kelly, Aoife, Kelly, Claire, Kelly, Niamh, Kelly, Sadie, Kelly, Yvelynne, Kelsey, Maeve, Kennon, Kalynn, Keomany, Sommay, Kernan, Maeve, Kerroumi, Younes, Keshav, Sharma, Khail, Shams, Khaled, Sarah, Khalid, Imrana, Khalil, Antoine, Khan, Irfan, Khan, Quratul Ain, Khanal, Sushil, Khatak, Abid, Kherajani, Krish, Kho, Michelle E., Khoo, Denisa, Khoo, Ryan, Khoo, Saye, Khoso, Muhammad Nasir, Khuwaja, Amin, Kiat, Khor How, Kida, Yuri, Kiiza, Peter, Granerud, Beathe Kiland, Kildal, Anders Benjamin, Kim, Jae Burm, Kimmoun, Antoine, Kindgen-Milles, Detlef, Kitamura, Nobuya, Kjetland Kjetland, Eyrun Floerecke, Klenerman, Paul, Klont, Rob, Bekken, Gry Kloumann, Knight, Stephen R., Kobbe, Robin, Forson, Paa Kobina, Kodippily, Chamira, Vasconcelos, Malte Kohns, Koirala, Sabin, Komatsu, Mamoru, Abebrese, Franklina Korkor, Korten, Volkan, Kouba, Stephanie, Kourouma, Mohamed Lamine, Kourouma, Karifa, Kpangon, Arsène, Krawczyk, Karolina, Kredan, Ali, Krishnan, Vinothini, Krishnan, Sudhir, Kruglova, Oksana, Krund, Anneli, Kuan, Pei Xuan, Kumar, Ashok, Kumar, Deepali, Kumar, Ganesh, Kumar, Mukesh, Kuriakose, Dinesh, Kurtzman, Ethan, Kutsogiannis, Demetrios, Kutsyna, Galyna, Bedu-Addo, Ama Kwakyewaa, Kwedi, Sylvie, Kyriakoulis, Konstantinos, Lachatre, Marie, Lacoste, Marie, Laffey, John G., Lafhej, Nadhem, Lagrange, Marie, Laine, Fabrice, Lairez, Olivier, Lakhey, Sanjay, Lambert, Marc, Lamontagne, François, Langelot-Richard, Marie, Langlois, Vincent, Lantang, Eka Yudha, Lanza, Marina, Laouénan, Cédric, Laribi, Samira, Lariviere, Delphine, Lasry, Stéphane, Lath, Sakshi, Latif, Naveed, Latifeh, Youssef, Launay, Odile, Laureillard, Didier, Lavie-Badie, Yoan, Law, Andy, Lawrence, Cassie, Lawrence, Teresa, Le, Minh, Le Bihan, Clément, Le Bris, Cyril, Le Falher, Georges, Le Fevre, Lucie, Le Hingrat, Quentin, Le Maréchal, Marion, Le Mestre, Soizic, Le Moal, Gwenaël, Le Moing, Vincent, Le Nagard, Hervé, Leal, Ema, Santos, Marta Leal, Lee, Biing Horng, Lee, Heng Gee, Lee, Su Hwan, Lee, James, Lee, Jennifer, Lee, Todd C., Lee, Yi Lin, Leeming, Gary, Lefebvre, Bénédicte, Lefebvre, Laurent, Lefèvre, Benjamin, LeGac, Sylvie, Lehiste, Merili-Helen, Lelievre, Jean-Daniel, Lellouche, François, Lemaignen, Adrien, Lemee, Véronique, Lemeur, Anthony, Lemmink, Gretchen, Lene, Ha Sha, Lennon, Jenny, León, Rafael, Leone, Marc, Lepik, Tanel, Lepiller, Quentin, Lescure, François-Xavier, Lesens, Olivier, Lesouhaitier, Mathieu, Lester-Grant, Amy, Letizia, Andrew, Letrou, Sophie, Levy, Bruno, Levy, Yves, Levy-Marchal, Claire, Lewandowska, Katarzyna, L'Her, Erwan, Bassi, Gianluigi Li, Liang, Janet, Liaquat, Ali, Liegeon, Geoffrey, Lim, Kah Chuan, Lim, Wei Shen, Lima, Chantre, Lina, Bruno, Lina, Lim, Lind, Andreas, Lingad, Maja Katherine, Lingas, Guillaume, Lion-Daolio, Sylvie, Liu, Keibun, Livrozet, Marine, Lizotte, Patricia, Loforte, Antonio, Lolong, Navy, Loon, Leong Chee, Lopes, Diogo, Lopez-Colon, Dalia, Loschner, Anthony L., Loubet, Paul, Loufti, Bouchra, Louis, Guillame, Lourenco, Silvia, Lovelace-Macon, Lara, Lee Low, Lee, Lowik, Marije, Loy, Jia Shyi, Lucet, Jean Christophe, Luna, Carlos M., Lungu, Olguta, Lunn, Miles, Luong, Liem, Luque, Nestor, Luton, Dominique, Maasikas, Olavi, Machado, Moïse, Machado, Sara, Macheda, Gabriel, Magzoub, Mustafa, Mahieu, Rafael, Mahy, Sophie, Maia, Ana Raquel, Maier, Lars S., Ascofare, Oumou Maiga, Maillet, Mylène, Maitre, Thomas, Majeed, Nimisha Abdul, Malfertheiner, Maximilian, Malik, Nadia, Mallon, Paddy, Maltez, Fernando, Malvy, Denis, Manda, Victoria, Mandelbrot, Laurent, Manetta, Frank, Mankikian, Julie, Manning, Edmund, Manuel, Aldric, Maráczi, Veronika, Sant′Ana Malaque, Ceila Maria, Marino, Flávio, Markowicz, Samuel, Marques, Ana, Marquis, Catherine, Marsh, Laura, Marsh, Brian, Marshal, Megan, Marshall, John, Martelli, Celina Turchi, Martin, Dori-Ann, Martin, Emily, Martin-Blondel, Guillaume, Martinelli, Alessandra, Martinez, F. Eduardo, Martin-Loeches, Ignacio, Martinot, Martin, Martín-Quiros, Alejandro, Martins, Ana, Martins, João, Martins, Nuno, Rego, Caroline Martins, Martucci, Gennaro, Martynenko, Olga, Marwali, Eva Miranda, Marzukie, Marsilla, Maslove, David, Mason, Sabina, Masood, Sobia, Masoud, Fatma, Massoma, Moise, Masumbe, Palmer, Mat Nor, Mohd Basri, Matan, Moshe, Fernandes, Henrique Mateus, Mathew, Meghena, Mathew, Christina, Mattei, Mathieu, Maulin, Laurence, May, Juergen, Maynar, Javier, Mayxay, Mayfong, Mazzoni, Thierry, Sweeney, Lisa Mc, McArthur, Colin, McCann, Naina, McCanny, Peter, McCarthy, Aine, McCarthy, Anne, McCloskey, Colin, McConnochie, Rachael, McDermott, Sherry, McDonald, Sarah E., McElroy, Aine, McElwee, Samuel, McEvoy, Natalie, McGeer, Allison, McLean, Kenneth A., McNally, Paul, McNicholas, Bairbre, Meaney, Edel, Mear-Passard, Cécile, Mechlin, Maggie, Medombou, Nastia, Mehkri, Omar, Mele, Ferruccio, Melo, Luis, Memon, Kashif Ali, Mendes, João João, Menkiti, Ogechukwu, Menon, Kusum, Mentré, France, Mentzer, Alexander J., Mercier, Emmanuelle, Mercier, Noémie, Merckx, Antoine, Mergeay-Fabre, Mayka, Mergler, Blake, Merson, Laura, Mesquita, António, Meta, Roberta, Metwally, Osama, Meybeck, Agnès, Meyer, Dan, Meynert, Alison M., Meysonnier, Vanina, Mezidi, Mehdi, Michelanglei, Céline, Michelet, Isabelle, Mihelis, Efstathia, Mihnovit, Vladislav, Abdullah, Duha Milad, Miller, Jennene, Miranda-Maldonado, Hugo, Misnan, Nor Arisah, Eliza Mohamed, Nik Nur, Mohamed, Nouralsabah, Mohamed, Tahira Jamal, Ads, Alaa Mohamed, Mohamed Elsayed Abdelhalim, Ahmed Reda, Mohammed, Libya, Mohammed Mostafa, Shrouk Fawze, Abdelrahman Mohammedahmed, Manahil Omer, Mohammedelhassan, Omer Abdullah, Moin, Asma, Mokhtar, Walaa, Molinos, Elena, Molloy, Brenda, Mone, Mary, Monteiro, Agostinho, Montes, Claudia, Montrucchio, Giorgia, Moore, Sarah, Moore, Shona C., Cely, Lina Morales, Morgom, Marwa, Moro, Lucia, Motherway, Catherine, Motos, Ana, Mouquet, Hugo, Perrot, Clara Mouton, Moyet, Julien, Mualla, Suleiman Haitham, Muftah, Mohamed, Mufti, Aisha Kalsoom, Muh, Ng Yong, Muhaisen, Mo'nes, Muhamad, Dzawani, Mullaert, Jimmy, Müller, Fredrik, Müller, Karl Erik, Munblit, Daniel, Ali, Syed Muneeb, Munir, Nadeem, Munshi, Laveena, Murphy, Aisling, Murray, Patrick, Murris, Marlène, Murthy, Srinivas, Musaab, Himed, Mustafa, Alamin, Mustafa, Mus'ab, Mustafa, Dana, Muvindi, Himasha, Myrodia, Dimitra Melia, Mohd-Hanafiah, Farah Nadia, Nadjm, Behzad, Nagpal, Dave, Nagrebetsky, Alex, Nagybányai-Nagy, Blanka, Boudoin, Herwin Nanda, Narasimhan, Mangala, Narayanan, Nageswaran, Nasa, Prashant, Khan, Rashid Nasim, Nasrallah, Ahmad, Nassif Metri, Adel Gerges, Nazerali-Maitland, Alasdair, Neant, Nadège, Neb, Holger, Nekliudov, Nikita, Nelder, Matthew, Nelwan, Erni, Neto, Raul, Neumann, Emily, Ng, Wing Yiu, Ng, Pauline Yeung, Nghi, Anthony, Nguyen, Duc, Choileain, Orna Ni, Leathlobhair, Niamh Ni, Niba, Nerissa, Nichol, Alistair D., Nitayavardhana, Prompak, Nonas, Stephanie, Mohd Noordin, Nurul Amani, Izzati Norharizam, Nurul Faten, North, Anita, Notari, Alessandra, Noursadeghi, Mahdad, Nowinski, Adam, Nseir, Saad, Numfor, Leonard, Nurnaningsih, Nurnaningsih, Nusantara, Dwi Utomo, Nyamankolly, Elsa, Nygaard, Anders Benteson, Brien, Fionnuala O., Callaghan, Annmarie O., O'Callaghan, Annmarie, Occhipinti, Giovanna, OConnor, Derbrenn, O'Donnell, Max, Ofori-Boadu, Lawrence, Ogston, Tawnya, Ogura, Takayuki, Oh, Tak-Hyuk, O'Halloran, Sophie, O'Hearn, Katie, Ohene, Sally-Ann, Ohshimo, Shinichiro, Oliveira, João, Oliveira, Larissa, Olliaro, Piero L., Rageh Elnaggar, Cinderella Omar, Mohammed Omer, Alsarrah Ali, Ondobo, Pierre, Ong, David S.Y., Ong, Jee Yan, Oosthuyzen, Wilna, Opavsky, Anne, Openshaw, Peter, Orakzai, Saijad, Orozco-Chamorro, Claudia Milena, Ortoleva, Jamel, Elsayed Soliman, Mohamed Osama, Osatnik, Javier, O'Shea, Linda, O'Sullivan, Miriam, Othman, Eman, Othman, Siti Zubaidah, Ouamara, Nadia, Ouissa, Rachida, Owusu, Micheal, Owusu-Asare, Ama Akyampomaa, Oziol, Eric, Pagadoy, Maïder, Pages, Justine, Palacios, Amanda, Palmarini, Massimo, Panarello, Giovanna, Panda, Prasan Kumar, Paneru, Hem, Pang, Lai Hui, Panigada, Mauro, Pansu, Nathalie, Papadopoulos, Aurélie, Parke, Rachael, Parker, Melissa, Pasquier, Jérémie, Pastene, Bruno, Patauner, Fabian, Patel, Drashti, Pathmanathan, Mohan Dass, Patrão, Luís, Patricio, Patricia, Patterson, Lisa, Pattnaik, Rajyabardhan, Paul, Christelle, Paul, Mical, Paulos, Jorge, Paxton, William A., Payen, Jean-François, Peake, Sandra L., Peariasamy, Kalaiarasu, Peek, Giles J., Peelman, Florent, Peiffer-Smadja, Nathan, Peigne, Vincent, Pejkovska, Mare, Pelosi, Paolo, Peltan, Ithan D., Pereira, Rui, Perez, Daniel, Perpoint, Thomas, Pesenti, Antonio, Pestre, Vincent, Petrou, Lenka, Petrovic, Michele, Petrov-Sanchez, Ventzislava, Pettersen, Frank Olav, Peytavin, Gilles, Philips, Richard Odame, Phonemixay, Ooyanong, Phoutthavong, Soulichanya, Piagnerelli, Michael, Picard, Walter, Picone, Olivier, de Piero, Maria, Piersma, Djura, Pimentel, Carlos, Pinto, Raquel, Pires, Catarina, Piroth, Lionel, Pitaloka, Ayodhia, Piubelli, Chiara, Pius, Riinu, Piva, Simone, Plantier, Laurent, Png, Hon Shen, Poissy, Julien, Pokeerbux, Ryadh, Poli, Sergio, Pollakis, Georgios, Ponscarme, Diane, Porto, Diego Bastos, Post, Andra-Maris, Postma, Douwe F., Povoa, Pedro, Póvoas, Diana, Powis, Jeff, Prapa, Sofia, Praphasiri, Viladeth, Preau, Sébastien, Prebensen, Christian, Preiser, Jean-Charles, Prinssen, Anton, Pritchard, Mark G., Dilanthi Priyadarshani, Gamage Dona, Proença, Lucia, Pudota, Sravya, Semedi, Bambang Pujo, Pulicken, Mathew, Puplampu, Peter, Purcell, Gregory, Quesada, Luisa, Quinones-Cardona, Vilmaris, Quist-Paulsen, Else, Quraishi, Mohammed, Qutishat, Fadi, Rabaa, Maia, Rabaud, Christian, Rabindrarajan, Ebenezer, Rafael, Aldo, Rafiq, Marie, Ragab, Abdelrahman, Rahardjani, Mutia, Ullah, Arslan Rahat, Haji Ab Rahman, Ahmad Kashfi, Rahman, Rozanah Abd, Rainieri, Fernando, Rajahram, Giri Shan, Ramachandran, Pratheema, Ramakrishnan, Nagarajan, Ramalho, José, Ramli, Ahmad Afiq, Rammaert, Blandine, Ramos, Grazielle Viana, Rana, Asim, Rangappa, Rajavardhan, Ranjan, Ritika, Rapp, Christophe, Rashan, Aasiyah, Rashan, Thalha, Rasheed, Ghulam, Rasmin, Menaldi, Rätsep, Indrek, Rau, Cornelius, Ravi, Tharmini, Raza, Ali, Real, Andre, Rebaudet, Stanislas, Redl, Sarah, Reeve, Brenda, Rehman, Attaur, Rehman Khalid, Muhammad Osama, Reikvam, Dag Henrik, Reis, Renato, Rello, Jordi, Remppis, Jonathan, Remy, Martine, Ren, Hongru, Renk, Hanna, Resseguier, Anne-Sophie, Revest, Matthieu, Rewa, Oleksa, Reyes, Luis Felipe, Ribeiro, Maria Ines, Ricchiuto, Antonia, Richardson, David, Richardson, Denise, Richier, Laurent, Atikah Ahmad Ridzuan, Siti Nurul, Rios, Ana L., Rishu, Asgar, Rispal, Patrick, Risso, Karine, Rivera Nuñez, Maria Angelica, Robba, Chiara, Roberto, André, Roberts, Stephanie, Roberts, Charles, Robertson, David L., Robineau, Olivier, Roca, Anna, Roche-Campo, Ferran, Rodari, Paola, Rodeia, Simão, Roessler, Bernhard, Roger, Claire, Roger, Pierre-Marie, Rojek, Amanda, Roncon-Albuquerque, Roberto, Jr., Roriz, Mélanie, Rosa-Calatrava, Manuel, Rose, Michael, Rosenberger, Dorothea, Rossanese, Andrea, Rossetti, Matteo, Rossignol, Patrick, Roy, Carine, Roze, Benoît, Rusmawatiningtyas, Desy, Russell, Clark D., Ryan, Maeve, Ryckaert, Steffi, Holten, Aleksander Rygh, Saba, Isabela, Sadaf, Sairah, Sadat, Musharaf, Sahraei, Valla, Said, Abdurraouf, Saidani, Nadia, Sakiyalak, Pranya, Sako, Fodé Bangaly, Salah, Moamen, Salah Eldin Mohamed Abbas, Ali Alaa, Salahuddin, Nawal, Salazar, Leonardo, Saleem, Jodat, Alyasiri, Mohammed Saleh, Abu Salem, Talat Ahmed, Sales, Gabriele, Gandonniere, Charlotte Salmon, Salvator, Hélène, Samardali, Dana, Samardali, Shaden, Shaaban Aly Orabi, Yehia Samir, Sanchez, Emely, Sanchez, Olivier, Sanchez de Oliveira, Kizy, Sanchez-Miralles, Angel, Sancho-Shimizu, Vanessa, Sandhu, Gyan, Sandhu, Zulfiqar, Sandrine, Pierre-François, Săndulescu, Oana, Santos, Marlene, Sarfo-Mensah, Shirley, Banheiro, Bruno Sarmento, Sarmiento, Iam Claire E., Sarton, Benjamine, Satya, Ankana, Satyapriya, Sree, Satyawati, Rumaisah, Saviciute, Egle, Saw, Yen Tsen, Schaffer, Justin, Schermer, Tjard, Scherpereel, Arnaud, Schneider, Marion, Schnur, János, Schroll, Stephan, Schwameis, Michael, Schwartz, Gary, Scott, Janet T., Scott-Brown, James, Sedillot, Nicholas, Seitz, Tamara, Selvanayagam, Jaganathan, Selvarajoo, Mageswari, Semple, Malcolm G., Senian, Rasidah Bt, Senneville, Eric, Sepulveda, Claudia, Sequeira, Filipa, Sequeira, Tânia, Neto, Ary Serpa, Shadowitz, Ellen, Shahidan, Syamin Asyraf, Shahla, Hamza, Shalabi, Laila, Shames, Haitam, Shankar, Anuraj, Sharjeel, Shaikh, Sharma, Pratima, Shaw, Catherine A., Shaw, Victoria, Sheenan, John Robert, Mohan Shetty, Dr. Rajesh, Shetty, Rohan, Shiekh, Mohiuddin, Shime, Nobuaki, Shimizu, Keiki, Shrapnel, Sally, Shrestha, Shubha Kalyan, Shrestha, Pramesh Sundar, Shum, Hoi Ping, Mohammed, Nassima Si, Siang, Ng Yong, Siaw-Frimpong, Moses, Sibiude, Jeanne, Sibounheuang, Bountoy, Siddig, Nidhal, Siddiqui, Atif, Siddiqui, Maqsood Ahmed, Sigfrid, Louise, Sillah, Fatoumata, Sillaots, Piret, Silva, Catarina, Silva, Maria Joao, Silva, Rogério, Lim Heng, Benedict Sim, Sin, Wai Ching, Sinatti, Dario, Singh, Mahendra, Singh, Punam, Sitompul, Pompini Agustina, Sivam, Karisha, Skogen, Vegard, Smith, Sue, Smood, Benjamin, Smyth, Coilin, Snacken, Morgane, So, Dominic, Soh, Tze Vee, Solberg, Lene Bergendal, Solomon, Joshua, Solomon, Tom, Somers, Emily, Sommet, Agnès, Song, Myung Jin, Song, Rima, Song, Tae, Chia, Jack Song, Søraas, Arne, Sotto, Albert, Soum, Edouard, Sousa, Ana Chora, Sousa, Marta, Uva, Maria Sousa, Souza-Dantas, Vicente, Sow, Mamadou Saliou, Sperry, Alexandra, Spinuzza, Elisabetta, Ruwan Sri Darshana, B. P. Sanka, Sriskandan, Shiranee, Stabler, Sarah, Staudinger, Thomas, Stecher, Stephanie-Susanne, Steinsvik, Trude, Stienstra, Ymkje, Stiksrud, Birgitte, Stolz, Eva, Stone, Amy, Streinu-Cercel, Anca, Streinu-Cercel, Adrian, Strong, Geoff, Stuart, Ami, Stuart, David, Su, Richa, Subekti, Decy, Suen, Gabriel, Suen, Jacky Y., Sukumar, Prasanth, Sultana, Asfia, Summers, Charlotte, Supic, Dubravka, Suppiah, Deepashankari, Surovcová, Magdalena, Suwarti, Atie, Svistunov, Andrey, Syahrin, Sarah, Sylverken, Augustina, Syrigos, Konstantinos, Sztajnbok, Jaques, Szuldrzynski, Konstanty, Tabrizi, Shirin, Taccone, Fabio S., Tagherset, Lysa, Taib, Shahdattul Mawarni, Taleb, Sara, Talla, Cheikh, Talsma, Jelmer, Tamisier, Renaud, Tampubolon, Maria Lawrensia, Tan, Kim Keat, Tan, Yan Chyi, Tanaka, Hiroyuki, Tanaka, Taku, Taniguchi, Hayato, Taqdees, Huda, Taqi, Arshad, Tardivon, Coralie, Kamal Mostafa, Yousef Tarek, Tarhabat, Ali, Tattevin, Pierre, Taufik, M Azhari, Tawfik, Hassan, Tee, Tze Yuan, Teixeira, João, Tejada, Sofia, Tellier, Marie-Capucine, Teoh, Sze Kye, Teotonio, Vanessa, Téoulé, François, Terrier, Olivier, Terzi, Nicolas, Tessier-Grenier, Hubert, Tey, Adrian, Mohd Thabit, Alif Adlan, Thakur, Anand, Tham, Zhang Duan, Thangavelu, Suvintheran, Theron, Elmi, Thibault, Vincent, Thiberville, Simon-Djamel, Thill, Benoît, Thirumanickam, Jananee, Thompson, Niamh, Thompson, Shaun, Thomson, Emma C., Thomson, David, Thorpe, Mathew, Thurai, Surain Raaj Thanga, Thwaites, Ryan S., Tierney, Paul, Tieroshyn, Vadim, Timashev, Peter S., Timsit, Jean-François, Tirupakuzhi Vijayaraghavan, Bharath Kumar, Tissot, Noémie, Toal, Fiona, Yang Toh, Jordan Zhien, Toki, Maria, Tonby, Kristian, Tonnii, Sia Loong, Torre, Marta, Torres, Antoni, Torres, Margarida, Santos-Olmo, Rosario Maria Torres, Torres-Zevallos, Hernando, Tounkara, Aboubacar, Towers, Michael, Traoré, Fodé Amara, Trapani, Tony, Tromeur, Cécile, Trontzas, Ioannis, Trouillon, Tiffany, Truong, Jeanne, Tual, Christelle, Tubiana, Sarah, Tuite, Helen, Turgeon, Alexis F., Turmel, Jean-Marie, Turtle, Lance C.W., Tveita, Anders, Twardowski, Pawel, Uchiyama, Makoto, Udayanga, PG Ishara, Udy, Andrew, Ullrich, Roman, Uribe, Alberto, Usman, Asad, Usuf, Effua, Uyeki, Timothy M., Vajdovics, Cristinava, Valentini, Piero, Val-Flores, Luís, Van de Velde, Stijn, van den Berge, Marcel, van der Feltz, Machteld, van der Palen, Job, van der Valk, Paul, Van Der Vekens, Nicky, Van der Voort, Peter, Van Der Werf, Sylvie, van Gulik, Laura, Van Hattem, Jarne, van Netten, Carolien, van Veen, Ilonka, Vanel, Noémie, Vanoverschelde, Henk, Varrone, Michael, Vasudayan, Shoban Raj, Vauchy, Charline, Vecham, Pavan Kumar, Veeran, Shaminee, Veislinger, Aurélie, Vencken, Sebastian, Ventura, Sara, Verbon, Annelies, Vidal, José Ernesto, Vieira, César, Vijayan, Deepak, Villar, Judit, Villeneuve, Pierre-Marc, Villoldo, Andrea, Vishwanathan, Gayatri, Visseaux, Benoit, Visser, Hannah, Vitiello, Chiara, Vongsouvath, Manivanh, Vonkeman, Harald, Vuotto, Fanny, Wahab, Suhaila Abdul, Wahab, Noor Hidayu, Wahid, Nadirah Abdul, Wainstein, Marina, Walsh, Laura, Shukeri, Wan Fadzlina Wan Muhd, Wang, Chih-Hsien, Webb, Steve, Wei, Jia, Weil, Katharina, Wen, Tan Pei, Wesam, Hassi, Wesselius, Sanne, West, T. Eoin, Wham, Murray, Whelan, Bryan, White, Nicole, Wicky, Paul Henri, Wiedemann, Aurélie, Wijaya, Surya Otto, Wille, Keith, Willems, Sue, Williams, Bailey, Williams, Patricia J., Williams, Virginie, Wils, Evert-Jan, Wittman, Jessica, Wong, Calvin, Wong, Xin Ci, Wong, Yew Sing, Wong, Teck Fung, Wright, Natalie, Xian, Lim Saio, Xynogalas, Ioannis, Binti Mohd Yakop, Siti Rohani, Yamazaki, Masaki, Yarad, Elizabeth, Yazdanpanah, Yazdan, Hing, Nicholas Yee Liang, Mahmoud Abdelaal, Abdelrahman Yehia, Yelnik, Cécile, Yeoh, Chian Hui, Yerkovich, Stephanie, Yiaye, Touxiong, Yokoyama, Toshiki, Yonis, Hodane, Yousif, Obada, Yuliarto, Saptadi, Zaaqoq, Akram, Zabbe, Marion, Zabert, Gustavo E., Zacharowski, Kai, Zahid, Masliza, Zahran, Maram, Binti Zaidan, Nor Zaila, Zambon, Maria, Zambrano, Miguel, Zanella, Alberto, Zaynah, Nurul, Zayyad, Hiba, Zoufaly, Alexander, Zucman, David, Ibáñez-Prada, Elsa D., Gonçalves, Bronner P., Baruch, Joaquin, Escher, Martina, Philippy, Fred, Kutsogiannis, Demetrios James, Vaillant, Michel, and Olliaro, Piero

Published
2024
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33. Generalized Taylor dispersion for translationally invariant microfluidic systems

Author

Alexandre, Arthur, Guérin, Thomas, and Dean, David S.

Subjects
Physics - Fluid Dynamics, Condensed Matter - Statistical Mechanics
Abstract

We consider Taylor dispersion for tracer particles in micro-fluidic planar channels with strong confinement. In this context, the channel walls modify the local diffusivity tensor and also interactions between the tracer particles and the walls become important. We provide a simple and general formula for the effective diffusion constant along the channel as well as the first non-trivial finite time correction for arbitrary flows along the channel, arbitrary interaction potentials with the walls and arbitrary expressions for the diffusion tensor. The formula are in particular amenable to a straightforward numerical implementation, rendering them extremely useful for comparison with experiments. We present a number of applications, notably for systems which have parabolically varying diffusivity profiles, to systems with attractive interactions with the walls as well as electroosmotic flows between plates with differing surface charges within the Debye-H\"uckel approximation., Comment: 33 pages, 7 figures

Published
2021
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37. Wigner function for noninteracting fermions in hard wall potentials

Author

De Bruyne, Benjamin, Dean, David S., Doussal, Pierre Le, Majumdar, Satya N., and Schehr, Gregory

Subjects
Condensed Matter - Statistical Mechanics, Condensed Matter - Quantum Gases, Mathematical Physics
Abstract

The Wigner function $W_N({\bf x}, {\bf p})$ is a useful quantity to characterize the quantum fluctuations of an $N$-body system in its phase space. Here we study $W_N({\bf x}, {\bf p})$ for $N$ noninteracting spinless fermions in a $d$-dimensional spherical hard box of radius $R$ at temperature $T=0$. In the large $N$ limit, the local density approximation (LDA) predicts that $W_N({\bf x}, {\bf p}) \approx 1/(2 \pi \hbar)^d$ inside a finite region of the $({\bf x}, {\bf p})$ plane, namely for $|{\bf x}| < R$ and $|{\bf p}| < k_F$ where $k_F$ is the Fermi momentum, while $W_N({\bf x}, {\bf p})$ vanishes outside this region, or "droplet", on a scale determined by quantum fluctuations. In this paper we investigate systematically, in this quantum region, the structure of the Wigner function along the edge of this droplet, called the Fermi surf. In one dimension, we find that there are three distinct edge regions along the Fermi surf and we compute exactly the associated nontrivial scaling functions in each regime. We also study the momentum distribution $\hat \rho_N(p)$ and find a striking algebraic tail for very large momenta $\hat \rho_N(p) \propto 1/p^4$, well beyond $k_F$, reminiscent of a similar tail found in interacting quantum systems (discussed in the context of Tan's relation). We then generalize these results to higher $d$ and find, remarkably, that the scaling function close to the edge of the box is universal, i.e., independent of the dimension~$d$., Comment: 31 pages, 14 figures

Published
2021
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38. Creep-fatigue interactions in a polycrystalline structural material under typical high-temperature power plant operating conditions

Author

Petkov, Markian, Chevalier, Marc, Dean, David, and Cocks, Alan C. F.

Subjects
Condensed Matter - Materials Science
Abstract

A micromechanical model at the microscale within a crystal plasticity self-consistent model, is used to analyse loading histories in Type 316H stainless steel, common to structural components in high-temperature power plants. The study compares the SCM predictions on changes in mechanical behaviour and creep properties to analyses via the UK R5 structural assessment code. Plant-relevant cyclic-creep histories in Type 316H stainless steel at 550C are examined with focus on the estimation of accumulated creep strain. This aims to quantify how better understanding of creep deformation under cyclic loading can inform R5 code life assessment methods, which are strain based. The effect of cyclic plasticity on primary and secondary creep is quantified. The levels of creep strain accumulated during different dwells, following loading from different macroscopic stress states, is also evaluated and link is made to experimental observations in explaining the response. The impact of displacement- and load-controlled dwells on the evolution of the cyclic hysteresis loop is examined which revealed how different assumptions for creep strain accumulation could employ information from SCM results to reduce uncertainty. It also provides guidance in the development of interpolation frameworks for structural parameters, based on the SCM results which could be used directly in structural assessment and design approaches to estimate the accumulation of inelastic strain with a lower degree of conservatism., Comment: Keywords: crystal plasticity, cyclic hardening, creep-fatigue, micromechanical, structural assessment. 19 Pages, 14 Figures, 5 Tables

Published
2021

40. Impurities in systems of noninteracting trapped fermions

Author

Dean, David S., Doussal, Pierre Le, Majumdar, Satya N., and Schehr, Gregory

Subjects
Condensed Matter - Statistical Mechanics, Condensed Matter - Quantum Gases
Abstract

We study the properties of spin-less non-interacting fermions trapped in a confining potential in one dimension but in the presence of one or more impurities which are modelled by delta function potentials. We use a method based on the single particle Green's function. For a single impurity placed in the bulk, we compute the density of the Fermi gas near the impurity. Our results, in addition to recovering the Friedel oscillations at large distance from the impurity, allow the exact computation of the density at short distances. We also show how the density of the Fermi gas is modified when the impurity is placed near the edge of the trap in the region where the unperturbed system is described by the Airy gas. Our method also allows us to compute the effective potential felt by the impurity both in the bulk and at the edge. In the bulk this effective potential is shown to be a universal function only of the local Fermi wave vector, or equivalently of the local fermion density. When the impurity is placed near the edge of the Fermi gas, the effective potential can be expressed in terms of Airy functions. For an attractive impurity placed far outside the support of the fermion density, we show that an interesting transition occurs where a single fermion is pulled out of the Fermi sea and forms a bound state with the impurity. This is a quantum analogue of the well-known Baik-Ben Arous-P\'ech\'e (BBP) transition, known in the theory of spiked random matrices. The density at the location of the impurity plays the role of an order parameter. We also consider the case of two impurities in the bulk and compute exactly the effective force between them mediated by the background Fermi gas., Comment: 35 pages, 8 figures. Revised version: references added and typos corrected

Published
2020
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43. Virtual Surgical Planning for Point-of-Care Manufacturing

Author

Dean, David, Olivas-Alanis, Luis H., Thurston, Brian, Vazquez, Javier, Hoelzle, David, Groeber, Michael, Niezgoda, Stephen, Morris, Jonathan, Emam, Hany, Skoracki, Roman, VanKoevering, Kyle, Rodriguez, Ciro, Yun, Yeoheung, Iaquinto, Joseph, Ripley, Beth, and Daehn, Glenn

Published
2024
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48. Kernels for noninteracting fermions via a Green's function approach with applications to step potentials

Author

Dean, David S., Doussal, Pierre Le, Majumdar, Satya N., Schehr, Gregory, and Smith, Naftali R.

Subjects
Condensed Matter - Statistical Mechanics, Condensed Matter - Quantum Gases, Mathematical Physics
Abstract

The quantum correlations of $N$ noninteracting spinless fermions in their ground state can be expressed in terms of a two-point function called the kernel. Here we develop a general and compact method for computing the kernel in a general trapping potential in terms of the Green's function for the corresponding single particle Schr\"odinger equation. For smooth potentials the method allows a simple alternative derivation of the local density approximation for the density and of the sine kernel in the bulk part of the trap in the large $N$ limit. It also recovers the density and the kernel of the so-called {\em Airy gas} at the edge. This method allows to analyse the quantum correlations in the ground state when the potential has a singular part with a fast variation in space. For the square step barrier of height $V_0$, we derive explicit expressions for the density and for the kernel. For large Fermi energy $\mu>V_0$ it describes the interpolation between two regions of different densities in a Fermi gas, each described by a different sine kernel. Of particular interest is the {\em critical point} of the square well potential when $\mu=V_0$. In this critical case, while there is a macroscopic number of fermions in the lower part of the step potential, there is only a finite $O(1)$ number of fermions on the shoulder, and moreover this number is independent of $\mu$. In particular, the density exhibits an algebraic decay $\sim 1/x^2$, where $x$ is the distance from the jump. Furthermore, we show that the critical behaviour around $\mu = V_0$ exhibits universality with respect with the shape of the barrier. This is established (i) by an exact solution for a smooth barrier (the Woods-Saxon potential) and (ii) by establishing a general relation between the large distance behavior of the kernel and the scattering amplitudes of the single-particle wave-function., Comment: 35 pages, 9 figures

Published
2020
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49. Position distribution in a generalised run and tumble process

Author

Dean, David S., Majumdar, Satya N., and Schawe, Hendrik

Subjects
Condensed Matter - Statistical Mechanics
Abstract

We study a class of stochastic processes of the type $\frac{d^n x}{dt^n}= v_0\, \sigma(t)$ where $n>0$ is a positive integer and $\sigma(t)=\pm 1$ represents an `active' telegraphic noise that flips from one state to the other with a constant rate $\gamma$. For $n=1$, it reduces to the standard run and tumble process for active particles in one dimension. This process can be analytically continued to any $n>0$ including non-integer values. We compute exactly the mean squared displacement at time $t$ for all $n>0$ and show that at late times while it grows as $\sim t^{2n-1}$ for $n>1/2$, it approaches a constant for $n<1/2$. In the marginal case $n=1/2$, it grows very slowly with time as $\sim \ln t$. Thus the process undergoes a {\em localisation} transition at $n=1/2$. We also show that the position distribution $p_n(x,t)$ remains time-dependent even at late times for $n\ge 1/2$, but approaches a stationary time-independent form for $n<1/2$. The tails of the position distribution at late times exhibit a large deviation form, $p_n(x,t)\sim \exp\left[-\gamma\, t\, \Phi_n\left(\frac{x}{x^*(t)}\right)\right]$, where $x^*(t)= v_0\, t^n/\Gamma(n+1)$. We compute the rate function $\Phi_n(z)$ analytically for all $n>0$ and also numerically using importance sampling methods, finding excellent agreement between them. For three special values $n=1$, $n=2$ and $n=1/2$ we compute the exact cumulant generating function of the position distribution at all times $t$., Comment: 24 pages, 4 Figures

Published
2020
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50. Meta Transfer Learning for Emotion Recognition

Author

Nguyen, Dung, Sridharan, Sridha, Nguyen, Duc Thanh, Denman, Simon, Dean, David, and Fookes, Clinton

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Deep learning has been widely adopted in automatic emotion recognition and has lead to significant progress in the field. However, due to insufficient annotated emotion datasets, pre-trained models are limited in their generalization capability and thus lead to poor performance on novel test sets. To mitigate this challenge, transfer learning performing fine-tuning on pre-trained models has been applied. However, the fine-tuned knowledge may overwrite and/or discard important knowledge learned from pre-trained models. In this paper, we address this issue by proposing a PathNet-based transfer learning method that is able to transfer emotional knowledge learned from one visual/audio emotion domain to another visual/audio emotion domain, and transfer the emotional knowledge learned from multiple audio emotion domains into one another to improve overall emotion recognition accuracy. To show the robustness of our proposed system, various sets of experiments for facial expression recognition and speech emotion recognition task on three emotion datasets: SAVEE, EMODB, and eNTERFACE have been carried out. The experimental results indicate that our proposed system is capable of improving the performance of emotion recognition, making its performance substantially superior to the recent proposed fine-tuning/pre-trained models based transfer learning methods., Comment: Revision under Journal of Pattern Recognition

Published
2020

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