Designing neighboring-site activation of single atom via tunnel ions for boosting acidic oxygen evolution

Autor: Yixin Hao, Sung-Fu Hung, Luqi Wang, Liming Deng, Wen-Jing Zeng, Chenchen Zhang, Zih-Yi Lin, Chun-Han Kuo, Ye Wang, Ying Zhang, Han-Yi Chen, Feng Hu, Linlin Li, Shengjie Peng

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)

Abstract Realizing an efficient turnover frequency in the acidic oxygen evolution reaction by modifying the reaction configuration is crucial in designing high-performance single-atom catalysts. Here, we report a “single atom–double site” conce

Externí odkaz: https://doaj.org/article/0309e860ad924ba9b151ba4ff7d6542a

A ring-like accretion structure in M87 connecting its black hole and jet

Autor: Lu, Ru-Sen, Asada, Keiichi, Krichbaum, Thomas P., Park, Jongho, Tazaki, Fumie, Pu, Hung-Yi, Nakamura, Masanori, Lobanov, Andrei, Hada, Kazuhiro, Akiyama, Kazunori, Kim, Jae-Young, Marti-Vidal, Ivan, Gómez, José L., Kawashima, Tomohisa, Yuan, Feng, Ros, Eduardo, Alef, Walter, Britzen, Silke, Bremer, Michael, Broderick, Avery E., Doi, Akihiro, Giovannini, Gabriele, Giroletti, Marcello, Ho, Paul T. P., Honma, Mareki, Hughes, David H., Inoue, Makoto, Jiang, Wu, Kino, Motoki, Koyama, Shoko, Lindqvist, Michael, Liu, Jun, Marscher, Alan P., Matsushita, Satoki, Nagai, Hiroshi, Rottmann, Helge, Savolainen, Tuomas, Schuster, Karl-Friedrich, Shen, Zhi-Qiang, de Vicente, Pablo, Walker, R. Craig, Yang, Hai, Zensus, J. Anton, Algaba, Juan Carlos, Allardi, Alexander, Bach, Uwe, Berthold, Ryan, Bintley, Dan, Byun, Do-Young, Casadio, Carolina, Chang, Shu-Hao, Chang, Chih-Cheng, Chang, Song-Chu, Chen, Chung-Chen, Chen, Ming-Tang, Chilson, Ryan, Chuter, Tim C., Conway, John, Crew, Geoffrey B., Dempsey, Jessica T., Dornbusch, Sven, Faber, Aaron, Friberg, Per, García, Javier González, Garrido, Miguel Gómez, Han, Chih-Chiang, Han, Kuo-Chang, Hasegawa, Yutaka, Herrero-Illana, Ruben, Huang, Yau-De, Huang, Chih-Wei L., Impellizzeri, Violette, Jiang, Homin, Jinchi, Hao, Jung, Taehyun, Kallunki, Juha, Kirves, Petri, Kimura, Kimihiro, Koay, Jun Yi, Koch, Patrick M., Kramer, Carsten, Kraus, Alex, Kubo, Derek, Kuo, Cheng-Yu, Li, Chao-Te, Lin, Lupin Chun-Che, Liu, Ching-Tang, Liu, Kuan-Yu, Lo, Wen-Ping, Lu, Li-Ming, MacDonald, Nicholas, Martin-Cocher, Pierre, Messias, Hugo, Meyer-Zhao, Zheng, Minter, Anthony, Nair, Dhanya G., Nishioka, Hiroaki, Norton, Timothy J., Nystrom, George, Ogawa, Hideo, Oshiro, Peter, Patel, Nimesh A, Pen, Ue-Li, Pidopryhora, Yurii, Pradel, Nicolas, Raffin, Philippe A., Rao, Ramprasad, Ruiz, Ignacio, Sanchez, Salvador, Shaw, Paul, Snow, William, Sridharan, T. K., Srinivasan, Ranjani, Tercero, Belén, Torne, Pablo, Traianou, Efthalia, Wagner, Jan, Walther, Craig, Wei, Ta-Shun, Yang, Jun, Yu, Chen-Yu

The nearby radio galaxy M87 is a prime target for studying black hole accretion and jet formation^{1,2}. Event Horizon Telescope observations of M87 in 2017, at a wavelength of 1.3 mm, revealed a ring-like structure, which was interpreted as gravitat

Externí odkaz: http://arxiv.org/abs/2304.13252

Meta-learning Based Short-Term Passenger Flow Prediction for Newly-Operated Urban Rail Transit Stations

Autor: Han, Kuo, Zhang, Jinlei, Zhu, Chunqi, Yang, Lixing, Huang, Xiaoyu, Li, Songsong

Accurate short-term passenger flow prediction in urban rail transit stations has great benefits for reasonably allocating resources, easing congestion, and reducing operational risks. However, compared with data-rich stations, the passenger flow pred

Externí odkaz: http://arxiv.org/abs/2210.07098

An automatic system for recognizing fly courtship patterns via an image processing method

Autor: Ching-Hsin Chen, Yu-Chiao Lin, Sheng-Hao Wang, Tsung-Han Kuo, Hung-Yin Tsai

Publikováno v: Behavioral and Brain Functions, Vol 20, Iss 1, Pp 1-17 (2024)

Abstract Fruit fly courtship behaviors composed of a series of actions have always been an important model for behavioral research. While most related studies have focused only on total courtship behaviors, specific courtship elements have often been

Externí odkaz: https://doaj.org/article/3a5b5da6f1964590831b352c6ac322db

Meta-learning based passenger flow prediction for newly-operated stations.

Autor: Han, Kuo¹ (AUTHOR), Zhang, Jinlei² (AUTHOR) zhangjinlei@bjtu.edu.cn, Tian, Xiaopeng³ (AUTHOR), Li, Songsong¹ (AUTHOR), Zhu, Chunqi¹ (AUTHOR)

Publikováno v: GeoInformatica. Jul2024, Vol. 28 Issue 3, p433-457. 25p.