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pro vyhledávání: '"Date, P"'
We show that in some transition metal dichalcogenides, minority regions of the cleaved sample surfaces show - unexpectedly and anomalously - a finite number of 2D electronic states instead of the expected 3D valence bands. In the case of NbS\textsubs
Externí odkaz:
http://arxiv.org/abs/2406.19793
Autor:
Kich, Victor A., Muttaqien, Muhammad A., Toyama, Junya, Miyoshi, Ryutaro, Ida, Yosuke, Ohya, Akihisa, Date, Hisashi
Recent advancements in real-time object detection frameworks have spurred extensive research into their application in robotic systems. This study provides a comparative analysis of YOLOv5 and YOLOv8 models, challenging the prevailing assumption of t
Externí odkaz:
http://arxiv.org/abs/2406.00315
Autor:
Date, Prasanna, Woun, Dong Jun, Hamilton, Kathleen, Perez, Eduardo A. Coello, Shekhar, Mayanka Chandra, Rios, Francisco, Gounley, John, Suh, In-Saeng, Humble, Travis, Tourassi, Georgia
Adiabatic quantum computers can solve difficult optimization problems (e.g., the quadratic unconstrained binary optimization problem), and they seem well suited to train machine learning models. In this paper, we describe an adiabatic quantum approac
Externí odkaz:
http://arxiv.org/abs/2401.12485
Autor:
Rath, Minati, Date, Hema
In many real-world datasets, rows may have distinct characteristics and require different modeling approaches for accurate predictions. In this paper, we propose an adaptive modeling approach for row-type dependent predictive analysis(RTDPA). Our fra
Externí odkaz:
http://arxiv.org/abs/2311.10799
Autor:
Rath, Minati, Date, Hema
This research explores the integration of quantum data embedding techniques into classical machine learning (ML) algorithms, aiming to assess the performance enhancements and computational implications across a spectrum of models. We explore various
Externí odkaz:
http://arxiv.org/abs/2311.10375
Autor:
Rath, Minati, Date, Hema
Machine learning (ML) models are trained using historical data to classify new, unseen data. However, traditional computing resources often struggle to handle the immense amount of data, commonly known as Big Data, within a reasonable timeframe. Quan
Externí odkaz:
http://arxiv.org/abs/2311.10363
Autor:
Abend, Sven, Allard, Baptiste, Alonso, Iván, Antoniadis, John, Araujo, Henrique, Arduini, Gianluigi, Arnold, Aidan, Aßmann, Tobias, Augst, Nadja, Badurina, Leonardo, Balaz, Antun, Banks, Hannah, Barone, Michele, Barsanti, Michele, Bassi, Angelo, Battelier, Baptiste, Baynham, Charles, Quentin, Beaufils, Belic, Aleksandar, Beniwal, Ankit, Bernabeu, Jose, Bertinelli, Francesco, Bertoldi, Andrea, Biswas, Ikbal Ahamed, Blas, Diego, Boegel, Patrick, Bogojevic, Aleksandar, Böhm, Jonas, Böhringer, Samuel, Bongs, Kai, Bouyer, Philippe, Brand, Christian, Brimis, Apostolos, Buchmueller, Oliver, Cacciapuoti, Luigi, Calatroni, Sergio, Canuel, Benjamin, Caprini, Chiara, Caramete, Ana, Caramete, Laurentiu, Carlesso, Matteo, Carlton, John, Casariego, Mateo, Charmandaris, Vassilis, Chen, Yu-Ao, Chiofalo, Maria Luisa, Cimbri, Alessia, Coleman, Jonathon, Constantin, Florin Lucian, Contaldi, Carlo, Cui, Yanou, Da Ros, Elisa, Davies, Gavin, Rosendo, Esther del Pino, Deppner, Christian, Derevianko, Andrei, de Rham, Claudia, De Roeck, Albert, Derr, Daniel, Di Pumpo, Fabio, Djordjevic, Goran, Dobrich, Babette, Domokos, Peter, Dornan, Peter, Doser, Michael, Drougakis, Giannis, Dunningham, Jacob, Duspayev, Alisher, Easo, Sajan, Eby, Joshua, Efremov, Maxim, Ekelof, Tord, Elertas, Gedminas, Ellis, John, Evans, David, Fadeev, Pavel, Fanì, Mattia, Fassi, Farida, Fattori, Marco, Fayet, Pierre, Felea, Daniel, Feng, Jie, Friedrich, Alexander, Fuchs, Elina, Gaaloul, Naceur, Gao, Dongfeng, Gardner, Susan, Garraway, Barry, Gauguet, Alexandre, Gerlach, Sandra, Gersemann, Matthias, Gibson, Valerie, Giese, Enno, Giudice, Gian Francesco, Glasbrenner, Eric, Gündogan, Mustafa, Haehnelt, Martin G., Hakulinen, Timo, Hammerer, Klemens, Hanımeli, Ekim Taylan, Harte, Tiffany, Hawkins, Leonie, Hees, Aurelien, Heise, Jaret, Henderson, Victoria, Herrmann, Sven, Hird, Thomas, Hogan, Jason, Holst, Bodil, Holynski, Michael, Hussain, Kamran, Janson, Gregor, Jeglič, Peter, Jelezko, Fedor, Kagan, Michael, Kalliokoski, Matti, Kasevich, Mark, Kehagias, Alex, Kilian, Eva, Koley, Soumen, Konrad, Bernd, Kopp, Joachim, Kornakov, Georgy, Kovachy, Tim, Krutzik, Markus, Kumar, Mukesh, Kumar, Pradeep, Laemmerzahl, Claus, Landsberg, Greg, Langlois, Mehdi, Lanigan, Bryony, Lellouch, Samuel, Leone, Bruno, Lafitte, Christophe Le Poncin, Lewicki, Marek, Leykauf, Bastian, Lezeik, Ali, Lombriser, Lucas, López, Luis, Asamar, Elias López, Monjaraz, Cristian López, Luciano, Gaetano, Mohammed, Mohammed Mahmoud, Maleknejad, Azadeh, Markus, Krutzik, Marteau, Jacques, Massonnet, Didier, Mazumdar, Anupam, McCabe, Christopher, Meister, Matthias, Menu, Jonathan, Messineo, Giuseppe, Micalizio, Salvatore, Millington, Peter, Milosevic, Milan, Mitchell, Jeremiah, Montero, Mario, Morley, Gavin, Müller, Jürgen, Müstecaplıoğlu, Özgür, Ni, Wei-Tou, Noller, Johannes, Odžak, Senad, Oi, Daniel, Omar, Yasser, Pahl, Julia, Paling, Sean, Pandey, Saurabh, Pappas, George, Pareek, Vinay, Pasatembou, Elizabeth, Pelucchi, Emanuele, Santos, Franck Pereira dos, Piest, Baptist, Pikovski, Igor, Pilaftsis, Apostolos, Plunkett, Robert, Poggiani, Rosa, Prevedelli, Marco, Puputti, Julia, Veettil, Vishnupriya Puthiya, Quenby, John, Rafelski, Johann, Rajendran, Surjeet, Rasel, Ernst Maria, Sfar, Haifa Rejeb, Reynaud, Serge, Richaud, Andrea, Rodzinka, Tangui, Roura, Albert, Rudolph, Jan, Sabulsky, Dylan, Safronova, Marianna, Santamaria, Luigi, Schilling, Manuel, Schkolnik, Vladimir, Schleich, Wolfgang, Schlippert, Dennis, Schneider, Ulrich, Schreck, Florian, Schubert, Christian, Schwersenz, Nico, Semakin, Aleksei, Sergijenko, Olga, Shao, Lijing, Shipsey, Ian, Singh, Rajeev, Smerzi, Augusto, Sopuerta, Carlos F., Spallicci, Alessandro, Stefanescu, Petruta, Stergioulas, Nikolaos, Ströhle, Jannik, Struckmann, Christian, Tentindo, Silvia, Throssell, Henry, Tino, Guglielmo M., Tinsley, Jonathan, Mircea, Ovidiu Tintareanu, Tkalčec, Kimberly, Tolley, Andrew, Tornatore, Vincenza, Torres-Orjuela, Alejandro, Treutlein, Philipp, Trombettoni, Andrea, Tsai, Yu-Dai, Ufrecht, Christian, Ulmer, Stefan, Valuch, Daniel, Vaskonen, Ville, Aceves, Veronica Vazquez, Vitanov, Nikolay, Vogt, Christian, von Klitzing, Wolf, Vukics, András, Walser, Reinhold, Wang, Jin, Warburton, Niels, Webber-Date, Alexander, Wenzlawski, André, Werner, Michael, Williams, Jason, Windapssinger, Patrcik, Wolf, Peter, Wörner, Lisa, Xuereb, André, Yahia, Mohamed, Cruzeiro, Emmanuel Zambrini, Zarei, Moslem, Zhan, Mingsheng, Zhou, Lin, Zupan, Jure, Zupanič, Erik
This document presents a summary of the 2023 Terrestrial Very-Long-Baseline Atom Interferometry Workshop hosted by CERN. The workshop brought together experts from around the world to discuss the exciting developments in large-scale atom interferomet
Externí odkaz:
http://arxiv.org/abs/2310.08183
Autor:
Bieberich, Samuel T., Maheshwari, Ketan C., Wilkinson, Sean R., Date, Prasanna, Suh, In-Saeng, da Silva, Rafael Ferreira
Quantum Computers offer an intriguing challenge in modern Computer Science. With the inevitable physical limitations to Moore's Law, quantum hardware provides avenues to solve grander problems faster by utilizing Quantum Mechanical properties at suba
Externí odkaz:
http://arxiv.org/abs/2310.03286
Autor:
Shin Ikebukuro, Miori Tanaka, Mei Kaneko, Midori Date, Sachiko Tanaka, Hitomi Wakabayashi, Masahiko Murase, Noriko Ninomiya, Taro Kamiya, Mariko Ogawa, Daisuke Shiojiri, Nahoko Shirato, Yuki Sekiguchi, Akihiko Sekizawa, Mikiya Nakatsuka, Hiroyuki Gatanaga, Katsumi Mizuno
Publikováno v:
International Breastfeeding Journal, Vol 19, Iss 1, Pp 1-6 (2024)
Abstract Background Breastfeeding offers significant health benefits, but its practice and success can vary. While research on induced lactation in cisgender women has been documented, there is limited research on lactation induction in transgender w
Externí odkaz:
https://doaj.org/article/b85fe6162d8b4d92aed53b6765acc25b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Microvascular decompression (MVD) has proven efficacy in trigeminal neuralgia (TN) and hemifacial spasm (HFS). This study utilized computational fluid dynamics (CFD) to investigate the impact of MVD on wall shear stress (WSS) of responsible
Externí odkaz:
https://doaj.org/article/ea3e903c4df04a0695976d94055da94f