A new methodology to calculate process rates in a kinetic Monte Carlo model of PAH growth by Leon, Gustavo, Eaves, Nick, Akroyd, Jethro, Mosbach, Sebastian, Kraft, Markus

“…This paper develops a new methodology to calculate the process rates in a kinetic Monte Carlo (KMC) model of polycyclic aromatic hydrocarbon (PAH) growth. …”
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Hydroxyapatite nanoparticles-cell interaction: new approaches to disclose the fate of membrane-bound and internalised nanoparticles by Bonany, Mar, Pérez-Berná, Ana Joaquina, Dučić, Tanja, Pereiro, Eva, Martin-Gómez, Helena, Mas-Moruno, Carlos, van Rijt, Sabine, Zhao, Zhitong, Espanol, Montserrat, Ginebra, Maria-Pau

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Polarity assignment in ZnTe, GaAs, ZnO, and GaN-AlN nanowires from direct dumbbell analysis by Fernández-Rojas, Carlos J., Morral, Anna Fontcuberta i., Mata, Maria de la, Magen, Cesar, Gazquez, Jaume, Utama, Muhammad Iqbal Bakti, Heiss, Martin, Lopatin, Sergei, Furtmayr, Florian, Peng, Bo, Morante, Joan Ramon, Rurali, Riccardo, Eickhoff, Martin, Xiong, Qihua, Arbiol, Jordi

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Considerations on Possible Directions for a Wide Band Polarimetry X-ray Mission by Soffitta, Paolo, Costa, Enrico, De Angelis, Nicolas, Del Monte, Ettore, Desch, Klaus, Di Marco, Alessandro, Di Persio, Giuseppe, Fabiani, Sergio, Ferrazzoli, Riccardo, Gruber, Markus, Hiromitsu, Takahashi, Imtiaz, Saba, Kaaret, Philip, Kaminski, Jochen, Kim, Dawoon E., Kislat, Fabian, Krawczynski, Henric, La Monaca, Fabio, Lefevre, Carlo, Manikantan, Hemanth

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High p16 expression and heterozygous RB1 loss are biomarkers for CDK4/6 inhibitor resistance in ER+ breast cancer by Palafox, Marta, Monserrat, Laia, Bellet, Meritxell, Villacampa, Guillermo, Gonzalez-Perez, Abel, Oliveira, Mafalda, Brasó-Maristany, Fara, Ibrahimi, Nusaibah, Kannan, Srinivasaraghavan, Mina, Leonardo, Herrera-Abreu, Maria Teresa, Òdena, Andreu, Sánchez-Guixé, Mònica, Capelán, Marta, Azaro, Analía, Bruna, Alejandra, Rodríguez, Olga, Guzmán, Marta, Grueso, Judit, Viaplana, Cristina, Hernández, Javier, Su, Faye, Lin, Kui, Clarke, Robert B., Caldas, Carlos, Arribas, Joaquín, Michiels, Stefan, García-Sanz, Alicia, Turner, Nicholas C., Prat, Aleix, Nuciforo, Paolo, Dienstmann, Rodrigo, Verma, Chandra Shekhar, Lopez-Bigas, Nuria, Scaltriti, Maurizio, Arnedos, Monica, Saura, Cristina, Serra, Violeta

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Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures by Belov, Vladimir, Erwin-Grabner, Tracy, Aghajani, Moji, Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Bülow, Robin, Ching, Christopher R. K., Connolly, Colm G., Cullen, Kathryn, Davey, Christopher G., Dima, Danai, Dols, Annemiek, Evans, Jennifer W., Fu, Cynthia H. Y., Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke, Hamilton, J. Paul, Harrison, Ben J., Ho, Tiffany C., Mwangi, Benson, Jaworska, Natalia, Jahanshad, Neda, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Melloni, Elisa, Mueller, Bryon A., Ojha, Amar, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Reneman, Liesbeth, Sacchet, Matthew D., Sämann, Philipp G., Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Thomopoulos, Sophia I., Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J. A., Völzke, Henry, Whittle, Sarah, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto

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ENIGMA CHEK2gether project: a comprehensive study identifies functionally impaired CHEK2 germline missense variants associated with increased breast cancer risk by Stolarova, Lenka, Kleiblova, Petra, Zemankova, Petra, Stastna, Barbora, Janatova, Marketa, Soukupova, Jana, Achatz, Maria Isabel, Ambrosone, Christine, Apostolou, Paraskevi, Arun, Banu K., Auer, Paul, Barnard, Mollie, Bertelsen, Birgitte, Blok, Marinus J., Boddicker, Nicholas, Brunet, Joan, Burnside, Elizabeth S., Calvello, Mariarosaria, Campbell, Ian, Chan, Sock Hoai, Chen, Fei, Chiang, Jian Bang, Coppa, Anna, Cortesi, Laura, Crujeiras-González, Ana, De Leeneer, Kim, De Putter, Robin, DePersia, Allison, Devereux, Lisa, Domchek, Susan, Efremidis, Anna, Engel, Christoph, Ernst, Corinna, Evans, D. Gareth R., Feliubadaló, Lidia, Fostira, Florentia, Fuentes-Ríos, Olivia, Gómez-García, Encarna B., González, Sara, Haiman, Christopher, Hansen, Thomas van Overeem, Hauke, Jan, Hodge, James, Hu, Chunling, Huang, Hongyan, Ishak, Nur Diana Binte, Iwasaki, Yusuke, Konstantopoulou, Irene, Kraft, Peter, Lacey, James, Lázaro, Conxi, Li, Na, Lim, Weng Khong, Lindstrom, Sara, Lori, Adriana, Martinez, Elana, Martins, Alexandra, Matsuda, Koichi, Matullo, Giuseppe, McInerny, Simone, Michailidou, Kyriaki, Montagna, Marco, Monteiro, Alvaro N. A., Mori, Luigi, Nathanson, Katherine, Neuhausen, Susan L., Nevanlinna, Heli, Olson, Janet E., Palmer, Julie, Pasini, Barbara, Patel, Alpa, Piane, Maria, Poppe, Bruce, Radice, Paolo, Renieri, Alessandra, Resta, Nicoletta, Richardson, Marcy E., Rosseel, Toon, Ruddy, Kathryn J., Santamariña, Marta, Dos Santos, Elizabeth Santana, Teras, Lauren, Toland, Amanda E., Trentham-Dietz, Amy, Vachon, Celine M., Volk, Alexander E., Weber-Lassalle, Nana, Weitzel, Jeffrey N., Wiesmuller, Lisa, Winham, Stacey, Yadav, Siddhartha, Yannoukakos, Drakoulis, Yao, Song, Zampiga, Valentina, Zethoven, Magnus, Zhang, Ze Wen, Zima, Tomas, Spurdle, Amanda B., Vega, Ana, Rossing, Maria, Del Valle, Jesús, De Nicolo, Arcangela, Hahnen, Eric, Claes, Kathleen B. M., Ngeow, Joanne, Momozawa, Yukihide, James, Paul A., Couch, Fergus J., Macurek, Libor, Kleibl, Zdenek

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Normative modeling of brain morphometry in clinical high risk for psychosis by Haas, Shalaila S., Ge, Ruiyang, Agartz, Ingrid, Amminger, G. Paul, Andreassen, Ole A., Bachman, Peter, Baeza, Inmaculada, Choi, Sunah, Colibazzi, Tiziano, Cropley, Vanessa L., de la Fuente-Sandoval, Camilo, Ebdrup, Bjørn H., Fortea, Adriana, Fusar-Poli, Paolo, Glenthøj, Birte Yding, Glenthøj, Louise Birkedal, Haut, Kristen M., Hayes, Rebecca A., Heekeren, Karsten, Hooker, Christine I., Hwang, Wu Jeong, Jahanshad, Neda, Kaess, Michael, Kasai, Kiyoto, Katagiri, Naoyuki, Kim, Minah, Kindler, Jochen, Koike, Shinsuke, Kristensen, Tina D., Kwon, Jun Soo, Lawrie, Stephen M., Lebedeva, Irina, Lee, Jimmy, Lemmers-Jansen, Imke L. J., Lin, Ashleigh, Ma, Xiaoqian, Mathalon, Daniel H., McGuire, Philip, Michel, Chantal, Mizrahi, Romina, Mizuno, Masafumi, Møller, Paul, Mora-Durán, Ricardo, Nelson, Barnaby, Nemoto, Takahiro, Nordentoft, Merete, Nordholm, Dorte, Omelchenko, Maria A., Pantelis, Christos, Pariente, Jose C., Raghava, Jayachandra M., Reyes-Madrigal, Francisco, Røssberg, Jan I., Rössler, Wulf, Salisbury, Dean F., Sasabayashi, Daiki, Schall, Ulrich, Smigielski, Lukasz, Sugranyes, Gisela, Suzuki, Michio, Takahashi, Tsutomu, Tamnes, Christian K., Theodoridou, Anastasia, Thomopoulos, Sophia I., Thompson, Paul M., Tomyshev, Alexander S., Uhlhaas, Peter J., Værnes, Tor G., van Amelsvoort, Therese A. M. J., van Erp, Theo G. M., Waltz, James A., Wenneberg, Christina, Westlye, Lars T., Wood, Stephen J., Zhou, Juan H., Hernaus, Dennis, Jalbrzikowski, Maria, Kahn, René S., Corcoran, Cheryl M., Frangou, Sophia

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Geoinformatics in Support of Urban Politics and the Development of Civil Engineering / by Lousada, Sérgio António Neves 1981-, editor 656274, IGI Global (Online service) 631983

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15 years of Adjoint Algorithmic Differentiation (AAD) in finance by Capriotti, L, Giles, M

“…In this paper, we provide a tutorial of this technique, illustrate how it is immediately applicable for Monte Carlo and Partial Differential Equations applications, the two main numerical techniques used for option pricing, and review the most significant literature in quantitative finance of the past fifteen years.…”

Second order multi-object filtering with target interaction using determinantal point processes by Teoh, Timothy Zhisheng

“…Implementation of the PHD filter using Sequential Monte Carlo (SMC) method on independent and interactive multi-target environments were explored, and the results obtained motivated the advancement to the Determinantal Point Processes (DPPs) setting. …”
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Magic v.3 : an integrated software package for systematic structure-based coarse-graining by Mirzoev, Alexander, Nordenskiöld, Lars, Lyubartsev, Alexander

“…Additional comments: The MagiC main module can be also used for conventional Monte Carlo simulations of molecular systems described by tabulated pairwise potentials in the canonical ensemble.…”
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Search for the X (5568) State Decaying into B[superscript 0][subscript s] π[superscript ±] in Proton-Proton Collisions at √ s = 8 TeV by Sirunyan, A. M., CMS Collaboration

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Spin-ice physics and phase transitions in cadmium cyanide by Coates, CS

“…I present the results of neutron scattering measurements on ¹¹⁴Cd(CN)₂ along with density functional theory calculations, Monte Carlo simulations, total scattering and nuclear magnetic resonance measurements. …”

Impact of renewable power penetration on power market operation by Zhao, Qian

“…Considering the stochastic and chronological nature of solar power, the pseudo sequential Monte Carlo simulation method has been utilized to evaluate the impacts of PV power on system reliability performances and reserve deployments. …”
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Joint modelling of longitudinal data: a scoping review of methodology and applications for non-time to event data by Ouko, RK, Mukaka, M, Ohuma, EO

“…Therefore, this review’s main objective is to summarise the current state of joint modelling of non-time-to-event longitudinal data. …”

Uncertainty & robustness for single-cell studies by Shiffman, Miriam

“…In tandem, we construct a novel Markov chain Monte Carlo sampler over trees, including message passing with variable augmentation to accelerate inference. …”
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Influence of spatial variability on slope failure analysis by the shear strength reduction technique by Zhang, Wengang, Goh, Anthony Teck Chee

“…Comparison between the probability of failure obtained by First-Order Reliability Method (FORM) and the proposed random field analysis by Monte Carlo simulation with many realizations of soil properties can provide better insights into the role of variability in design. …”
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Loading dynamics of cold atoms into a hollow-core photonic crystal fiber by Wang, Yu, Chai, Shijie, Xin, Mingjie, Leong, Wui Seng, Chen, Zilong, Lan, Shau-Yu

“…Here, we provide a numerical study of the loading dynamics of cold atoms into a hollow-core photonic crystal fiber. We use the Monte Carlo method to simulate the trajectories of an ensemble of cold atoms from free space trapping potential to optical potential inside a hollow-core fiber and calculate the temperature, loading efficiency, and geometry of the ensemble. …”
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An exploratory study for a new method to search for heavy neutrinos with data at the Large Hadron Collider (LHC) by Tan, Cherlene Shu Ning

“…Simulating using a Monte Carlo approach based on the data collected at the LHC so far, the sensitivity reach for these possible new particles is probed. …”
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