The Lunar Gravitational-wave Antenna: Mission Studies and Science Case

Autor: Ajith, Parameswaran, Seoane, Pau Amaro, Sedda, Manuel Arca, Arcodia, Riccardo, Badaracco, Francesca, Banerjee, Biswajit, Belgacem, Enis, Benetti, Giovanni, Benetti, Stefano, Bobrick, Alexey, Bonforte, Alessandro, Bortolas, Elisa, Braito, Valentina, Branchesi, Marica, Burrows, Adam, Cappellaro, Enrico, Della Ceca, Roberto, Chakraborty, Chandrachur, Subrahmanya, Shreevathsa Chalathadka, Coughlin, Michael W., Covino, Stefano, Derdzinski, Andrea, Doshi, Aayushi, Falanga, Maurizio, Foffa, Stefano, Franchini, Alessia, Frigeri, Alessandro, Futaana, Yoshifumi, Gerberding, Oliver, Gill, Kiranjyot, Di Giovanni, Matteo, Giudice, Ines Francesca, Giustini, Margherita, Gläser, Philipp, Harms, Jan, van Heijningen, Joris, Iacovelli, Francesco, Kavanagh, Bradley J., Kawamura, Taichi, Kenath, Arun, Keppler, Elisabeth-Adelheid, Kobayashi, Chiaki, Komatsu, Goro, Korol, Valeriya, Krishnendu, N. V., Kumar, Prayush, Longo, Francesco, Maggiore, Michele, Mancarella, Michele, Maselli, Andrea, Mastrobuono-Battisti, Alessandra, Mazzarini, Francesco, Melandri, Andrea, Melini, Daniele, Menina, Sabrina, Miniutti, Giovanni, Mitra, Deeshani, Morán-Fraile, Javier, Mukherjee, Suvodip, Muttoni, Niccolò, Olivieri, Marco, Onori, Francesca, Papa, Maria Alessandra, Patat, Ferdinando, Perali, Andrea, Piran, Tsvi, Piranomonte, Silvia, Pol, Alberto Roper, Pookkillath, Masroor C., Prasad, R., Prasad, Vaishak, De Rosa, Alessandra, Chowdhury, Sourav Roy, Serafinelli, Roberto, Sesana, Alberto, Severgnini, Paola, Stallone, Angela, Tissino, Jacopo, Tkalčić, Hrvoje, Tomasella, Lina, Toscani, Martina, Vartanyan, David, Vignali, Cristian, Zaccarelli, Lucia, Zeoli, Morgane, Zuccarello, Luciano

The Lunar Gravitational-wave Antenna (LGWA) is a proposed array of next-generation inertial sensors to monitor the response of the Moon to gravitational waves (GWs). Given the size of the Moon and the expected noise produced by the lunar seismic back

Externí odkaz: http://arxiv.org/abs/2404.09181

GreenScan: Towards large-scale terrestrial monitoring the health of urban trees using mobile sensing

Autor: Gupta, Akshit, Mora, Simone, Zhang, Fan, Rutten, Martine, Prasad, R. Venkatesha, Ratti, Carlo

Publikováno v: IEEE Sensors Journal 2024

Healthy urban greenery is a fundamental asset to mitigate climate change phenomena such as extreme heat and air pollution. However, urban trees are often affected by abiotic and biotic stressors that hamper their functionality, and whenever not timel

Externí odkaz: http://arxiv.org/abs/2312.14364

Prasad R, Patki A, Padhy S, Ramchandran G. Single intravenous bolus versus perioperative continuous infusion of tranexamic acid to reduce blood loss in abdominal oncosurgical procedures: a prospective randomized double‐blind clinical study. J...

Publikováno v: AORN Journal; Jul2019, Vol. 110 Issue 1, p107-112, 6p

Technical Design Report for the LUXE Experiment

Autor: Abramowicz, H., Soto, M. Almanza, Altarelli, M., Aßmann, R., Athanassiadis, A., Avoni, G., Behnke, T., Benettoni, M., Benhammou, Y., Bhatt, J., Blackburn, T., Blanch, C., Bonaldo, S., Boogert, S., Borysov, O., Borysova, M., Boudry, V., Breton, D., Brinkmann, R., Bruschi, M., Burkart, F., Büßer, K., Cavanagh, N., Corso, F. Dal, Decking, W., Deniaud, M., Diner, O., Dosselli, U., Elad, M., Epshteyn, L., Esperante, D., Ferber, T., Firlej, M., Fiutowski, T., Fleck, K., Fuster-Martinez, N., Gadow, K., Gaede, F., Gallas, A., Cabrera, H. Garcia, Gerstmayr, E., Ghenescu, V., Giorato, M., Golubeva, N., Grojean, C., Grutta, P., Grzelak, G., Hallford, J., Hartman, L., Heinemann, B., Heinzl, T., Helary, L., Hendriks, L., Hoffmann, M., Horn, D., Huang, S., Huang, X., Idzik, M., Irles, A., Jacobs, R., King, B., Klute, M., Kropf, A., Kroupp, E., Lahno, H., Manghi, F. Lasagni, Lawhorn, J., Levanon, A., Levi, A., Levinson, L., Levy, A., Levy, I., Liberman, A., Liss, B., List, B., List, J., Lohmann, W., Maalmi, J., Madlener, T., Malka, V., Marsault, T., Mattiazzo, S., Meloni, F., Miron, D., Morandin, M., Moroń, J., Nanni, J., Neagu, A. T., Negodin, E., Paccagnella, A., Pantano, D., Pietruch, D., Pomerantz, I., Pöschl, R., Potlog, P. M., Prasad, R., Quishpe, R., Ranken, E., Ringwald, A., Roich, A., Salgado, F., Santra, A., Sarri, G., Sävert, A., Sbrizzi, A., Schmitt, S., Schulthess, I., Schuwalow, S., Seipt, D., Simi, G., Soreq, Y., Spataro, D., Streeter, M., Swientek, K., Hod, N. Tal, Teter, T., Thiebault, A., Thoden, D., Trevisani, N., Urmanov, R., Vasiukov, S., Walker, S., Warren, M., Wing, M., Yap, Y. C., Zadok, N., Zanetti, M., Żarnecki, A. F., Zbińkowski, P., Zembaczyński, K., Zepf, M., Zerwas, D., Ziegler, W., Zuffa, M.

This Technical Design Report presents a detailed description of all aspects of the LUXE (Laser Und XFEL Experiment), an experiment that will combine the high-quality and high-energy electron beam of the European XFEL with a high-intensity laser, to e

Externí odkaz: http://arxiv.org/abs/2308.00515

Covy: An AI-powered Robot with a Compound Vision System for Detecting Breaches in Social Distancing

Autor: Saaybi, Serge, Majid, Amjad Yousef, Prasad, R Venkatesha, Koubaa, Anis, Verhoeven, Chris

This paper introduces a compound vision system that enables robots to localize people up to 15m away using a cheap camera. And, it proposes a robust navigation stack that combines Deep Reinforcement Learning (DRL) and a probabilistic localization met

Externí odkaz: http://arxiv.org/abs/2207.06847