Now showing items 1601-1620 of 7550

    • Díaz, Andrés J.; Cáceres, Rodrigo; Torres, Rodrigo; Cardemil Iglesias, José; Silva Llanca, Luis (Elsevier, 2020)
      This paper evaluates the potential of water-side economizers in the refrigeration system of data centers under different climate conditions. Due to the wide range of conditions along the country (Desert, Mediterranean, ...
    • Valverde, Janeth; Horan, Deirdre; Bernard, Denis; Fegan, Stephen; Abeysekara, A. U.; Archer, A.; Benbow, W.; Bird, R.; Brill, A.; Brose, R.; Buchovecky, M.; Buckley, J. H.; Christiansen, J. L.; Cui, W.; Falcone, A.; Feng, Q.; Finley, J. P.; Fortson, L.; Furniss, A.; Gent, A.; Gillanders, G. H.; Giuri, C.; Gueta, O.; Hanna, D.; Hassan, T.; Hervet, O.; Holder, J.; Hughes, G.; Humensky, T. B.; Kaaret, P.; Kelley Hoskins, N.; Kertzman, M.; Kieda, D.; Krause, M.; Krennrich, F.; Lang, M. J.; Maier, G.; Moriarty, P.; Mukherjee, R.; Nieto, D.; Nievas Rosillo, M.; O'Brien, S.; Ong, R. A.; Otte, A. N.; Park, N.; Petrashyk, A.; Pfrang, K.; Pichel, A.; Pohl, M.; Prado, R. R.; Pueschel, E.; Quinn, J.; Ragan, K.; Reynolds, P. T.; Ribeiro, D.; Richards, G. T.; Roache, E.; Sadeh, I.; Santander, M.; Scott, S. S.; Sembroski, G. H.; Shahinyan, K.; Shang, R.; Vassiliev, V. V.; Weinstein, A.; Wells, R. M.; Wilcox, P.; Wilhelm, A.; Williams, D. A.; Williamson, T. J; Noto, Giuliana; Edwards, P. G.; Piner, B. G.; Ramazani, V. Fallah; Hovatta, T.; Jormanainen, J.; Lindfors, E.; Nilsson, K.; Takalo, L.; Kovalev, Y. Y.; Lister, M. L.; Pushkarev, A. B.; Savolainen, T.; Kiehlmann, S.; Max-Moerbeck, W.; Readhead, A. C. S.; Lahteenmaki, A.; Tornikoski, M. (IOP, 2020)
      Blazars are known for their variability on a wide range of timescales at all wavelengths. Most studies of TeV gamma-ray blazars focus on short timescales, especially during flares. With a decade of observations from the ...
    • Xu, Zhilei; Brewer, Michael K.; Rojas, Pedro Fluxa; Li, Yunyang; Osumi, Keisuke; Pradenas, Bastian; Ali, Aamir; Appel, John; Bennett, Charles L.; Bustos, Ricardo; Chan, Manwei; Chuss, David T.; Cleary, Joseph; Couto, Jullianna Denes; Dahal, Sumit; Datta, Rahul; Denis, Kevin L.; Dunner, Rolando; Eimer, Joseph R.; Essinger Hileman, Thomas; Gothe, Dominik; Harrington, Kathleen; Iuliano, Jeffrey; Karakla, John; Marriage, Tobias A.; Miller, Nathan J.; Núñez, Carolina; Padilla, Ivan L.; Parker, Lucas; Petroff, Matthew A.; Reeves, Rodrigo; Rostem, Karwan; Valle, Deniz Augusto; Watts, Duncan J.; Weiland, Janet L.; Wollack, Edward J. (IOP, 2020)
      The Cosmology Large Angular Scale Surveyor (CLASS) is a telescope array that observes the cosmic microwave background (CMB) over 75% of the sky from the Atacama Desert, Chile, at frequency bands centered near 40, 90, 150, ...
    • Allen, Peter; Böttcher, Julia; Skokan1, Jozef; Stein, Maya (Wiley, 2020)
      Advancing the sparse regularity method, we prove one-sided and two-sided regularity inheritance lemmas for subgraphs of bijumbled graphs, improving on results of Conlon, Fox, and Zhao. These inheritance lemmas also imply ...
    • Hellouin de Menibus, Benjamin; Maturana Cornejo, Hugo (American Institute of Mathematical Sciences, 2020)
      We consider a set of necessary conditions which are efficient heuristics for deciding when a set of Wang tiles cannot tile a group. Piantadosi [19] gave a necessary and sufficient condition for the existence of a valid ...
    • Gouet Bañares, Raúl; López, F. Javier; Maldonado, Lina; Sanz, Gerardo (MDPI, 2020)
      We consider the maximum likelihood and Bayesian estimation of parameters and prediction of future records of the Weibull distribution from delta-record data, which consists of records and near-records. We discuss existence, ...
    • Bustamante Plaza, Roger (Elsevier, 2020)
      Universal solutions are found for isotropic elastic bodies, for a class of constitutive equation that is not Green elastic, wherein the linearized strain is assumed to be a function of the Cauchy stress. The structure of ...
    • Montelli, Aleksandr; Gulick, Sean P. S.; Fernández, Rodrigo; Frederick, Bruce C.; Shevenell, Amelia E.; Leventer, Amy; Blankenship, Donald D. (Geological Soc Amer, 2020)
      High-resolution seismic data from the Sabrina Coast continental shelf, East Antarctica, elucidate the Cenozoic evolution of the East Antarctic Ice Sheet. Detailed seismic stratigraphic and facies analysis reveal the Paleogene ...
    • Ivanovic, Marija; Mancic, Ana; Hermann Avigliano, Carla; Hadzievski, Ljupco; Maluckov, Aleksandra (IOP Publishing, 2020)
      In this paper, we establish a new scheme for identification and classification of high intensity events generated by the propagation of light through a photorefractive SBN crystal. Among these events, which are the inevitable ...
    • Liao, Zhifang; Wu, ZeXuan; Li, Yanbing; Zhang, Yan; Fan, Xiaoping; Wu, Jinsong (Springer, 2020)
      Pull Request (PR) is a major contributor to external developers of open-source projects in GitHub. PR reviewing is an important part of open-source software developments to ensure the quality of project. Recommending ...
    • Durán, Alberto; Ibaceta, Efraín; Díaz, Matías; Rojas, Félix; Cárdenas Dobson, Jesús; Chávez, Héctor (MDPI, 2020)
      The modular multilevel matrix converter has been proposed as a suitable option for high power applications such as flexible AC transmission systems. Among flexible AC transmission systems, the unified power flow controller ...
    • Kalaivani, R.; Maruthupandy, Muthuchamy; Muneeswaran, Thillaichidambaram; Singh, Manoj; Sureshkumar, S.; Anand, M.; Ramakritinan, C.; Quero, Franck; Kumaraguru, A. K. (Elsevier, 2020)
    • Inga, Esteban; Hincapie, Roberto; Cespedes Umaña, Sandra (MDPI, 2020)
      This paper addresses the planning and deployment of wireless heterogeneous networks (WHNs) for smart metering, based on a cross-layer solution. We combine the constraints of the network layer that considers routing and ...
    • Verstraete, David Benjamin; López Droguett, Enrique; Meruane, Viviana; Modarres, Mohammad; Ferrada, Andrés (SAGE, 2020)
      With the availability of cheaper multisensor suites, one has access to massive and multidimensional datasets that can and should be used for fault diagnosis. However, from a time, resource, engineering, and computational ...
    • San Martín, Felipe; Pérez, Claudio; Tapia, Juan E.; Virani, Shahzad; Holzinger, Marcus J. (Elsevier, 2020)
      Detection, classification, and characterization of Space Objects (SOs) are important tasks in many areas of research. Detection of SOs is important in predicting collisions with debris that could become hazards for satellites ...
    • Cortínez, Diego; Palma Fluxá, Patricia; Castro, René; Palza, Humberto (Elsevier, 2020)
      A bi-phasic and water-stable GO paper was developed based on a simple casting method and the addition of a chitosan (CH) coating layer. While pure GO paper re-dispersed after water immersion water becoming a powder, the ...
    • Rodovalho, Edmo; Quaglio, Osvail; Felsch Junior, Walter Schmidt; Pascual, Rodrigo; de Tomi, Giorgio; Soares Tenório, Jorge Alberto (Elsevier, 2020)
      The waste management practices currently applied by the mining industry have been widely questioned regarding safety and efficiency. It is not by chance that the mining industry is considered one of the sectors with less ...
    • Rizzi, Matteo (Springer Heidelberg, 2020)
      The paper is devoted to the classification of entire solutions to the Cahn–Hilliard equation −u = u −u3 −δ in RN , with particular interest in those solutions whose nodal set is either bounded or contained in a cylinder. ...
    • Sandoval Alcocer, Juan Pablo; Bergel, Alexandre; Valente, Marco Tulio (Elsevier, 2020)
      Context: Software performance may suffer regressions caused by source code changes. Measuring performance at each new software version is useful for early detection of performance regressions. However, systematically running ...
    • Maldonado, Sebastián; López, Julio; Vairetti, Carla (Elsevier, 2020)
      In this paper, we propose three novel profit-driven strategies for churn prediction. Our proposals extend the ideas of the Minimax Probability Machine, a robust optimization approach for binary classification that maximizes ...