Zobrazeno 1 - 10
of 79 311
pro vyhledávání: '"Ru P"'
Autor:
Menghe Liu, Ru Peng, Chunfang Tian, Jianping Shi, Jiannan Ma, Ruiwen Shi, Xiao Qi, Rongwei Zhao, Haibin Guan
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
In recent years, a growing body of research has confirmed that the gut microbiota plays a major role in the maintenance of human health and disease. A gut microbiota imbalance can lead to the development of many diseases, such as pregnancy complicati
Externí odkaz:
https://doaj.org/article/3a88aee91fd0432684f8817f480b8737
Publikováno v:
BMC Women's Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Resistance can develop during treatment of advanced endometrial cancer (EC), leading to unsatisfactory results. Fanconi anemia complementation group D2 (Fancd2) has been shown to be closely related to drug resistance in cancer cel
Externí odkaz:
https://doaj.org/article/c4d8a5f42d374ff48f6846a412cbc632
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
BackgroundObservation studies have confirmed the association between the gut microbiome and reproductive endocrine diseases (REDs), namely, polycystic ovary syndrome (PCOS), endometriosis, and female infertility. However, their association has never
Externí odkaz:
https://doaj.org/article/801cf86c435049118e9180221120f130
Publikováno v:
Journal of International Medical Research, Vol 51 (2023)
Objective To explore the intrinsic mechanism of the mammalian target of rapamycin (mTOR) pathway activation and promotion of neuronal axon growth. Methods Human neuroblastoma cells, SH-SY5Y, were induced with all-trans retinoic acid (ATRA; 10 μM for
Externí odkaz:
https://doaj.org/article/a36a310ebdc44707995130cd7578ea32
Traditional driving risk potential field model generally assumes uniform vehicle sizes, which fails to reflect the heterogeneity in real-world traffic environment. This study aims to develop an improved model by introducing the vehicle dimensions int
Externí odkaz:
http://arxiv.org/abs/2412.19190
Feature Generative Adversarial Networks have emerged as powerful generative models in producing high-quality representations of unseen classes within the scope of Zero-shot Learning (ZSL). This paper delves into the pivotal influence of unseen class
Externí odkaz:
http://arxiv.org/abs/2412.18282
Autor:
Wu, Jintai, Qiu, Keping, Poidevin, Frederick, Bastien, Pierre, Liu, Junhao, Ching, Tao-Chung, Bourke, Tyler L., Ward-Thompson, Derek, Pattle, Kate, Johnstone, Doug, Koch, Patrick M., Arzoumanian, Doris, Lee, Chang Won, Fanciullo, Lapo, Onaka, Takashi, Hwang, Jihye, Gouellec, Valentin J. M. Le, Soam, Archana, Tamura, Motohide, Tahani, Mehrnoosh, Eswaraiah, Chakali, Li, Hua-Bai, Berry, David, Furuya, Ray S., Coude, Simon, Kwon, Woojin, Lin, Sheng-Jun, Wang, Jia-Wei, Hasegawa, Tetsuo, Lai, Shih-Ping, Byun, Do-Young, Chen, Zhiwei, Chen, Huei-Ru Vivien, Chen, Wen Ping, Chen, Mike, Cho, Jungyeon, Choi, Youngwoo, Choi, Yunhee, Choi, Minho, Chrysostomou, Antonio, Chung, Eun Jung, Dai, Sophia, Di Francesco, James, Diep, Pham Ngoc, Doi, Yasuo, Duan, Hao-Yuan, Duan, Yan, Eden, David, Fiege, Jason, Fissel, Laura M., Franzmann, Erica, Friberg, Per, Friesen, Rachel, Fuller, Gary, Gledhill, Tim, Graves, Sarah, Greaves, Jane, Griffin, Matt, Gu, Qilao, Han, Ilseung, Hayashi, Saeko, Hoang, Thiem, Houde, Martin, Inoue, Tsuyoshi, Inutsuka, Shu-ichiro, Iwasaki, Kazunari, Jeong, Il-Gyo, Konyves, Vera, Kang, Ji-hyun, Kang, Miju, Karoly, Janik, Kataoka, Akimasa, Kawabata, Koji, Kim, Shinyoung, Kim, Mi-Ryang, Kim, Kyoung Hee, Kim, Kee-Tae, Kim, Jongsoo, Kim, Hyosung, Kim, Gwanjeong, Kirchschlager, Florian, Kirk, Jason, Kobayashi, Masato I. N., Kusune, Takayoshi, Kwon, Jungmi, Lacaille, Kevin, Law, Chi-Yan, Lee, Hyeseung, Lee, Chin-Fei, Lee, Sang-Sung, Lee, Jeong-Eun, Li, Dalei, Li, Di, Li, Guangxing, Liu, Sheng-Yuan, Liu, Tie, Liu, Hong-Li, Lu, Xing, Lyo, A-Ran, Mairs, Steve, Matsumura, Masafumi, Matthews, Brenda, Moriarty-Schieven, Gerald, Nagata, Tetsuya, Nakamura, Fumitaka, Nakanishi, Hiroyuki, Ngoc, Nguyen Bich, Ohashi, Nagayoshi, Park, Geumsook, Parsons, Harriet, Peretto, Nicolas, Priestley, Felix, Pyo, Tae-Soo, Qian, Lei, Rao, Ramprasad, Rawlings, Jonathan, Rawlings, Mark, Retter, Brendan, Richer, John, Rigby, Andrew, Sadavoy, Sarah, Saito, Hiro, Savini, Giorgio, Seta, Masumichi, Sharma, Ekta, Shimajiri, Yoshito, Shinnaga, Hiroko, Tang, Ya-Wen, Tang, Xindi, Thuong, Hoang Duc, Tomisaka, Kohji, Tram, Le Ngoc, Tsukamoto, Yusuke, Viti, Serena, Wang, Hongchi, Whitworth, Anthony, Xie, Jinjin, Yang, Meng-Zhe, Yen, Hsi-Wei, Yoo, Hyunju, Yuan, Jinghua, Yun, Hyeong-Sik, Zenko, Tetsuya, Zhang, Guoyin, Zhang, Chuan-Peng, Zhang, Yapeng, Zhou, Jianjun, Zhu, Lei, de Looze, Ilse, Andre, Philippe, Dowell, C. Darren, Eyres, Stewart, Falle, Sam, Robitaille, Jean-Francois, van Loo, Sven
Publikováno v:
ApJL, 977, L31 (2024)
As part of the BISTRO survey, we present JCMT 850 $\mu$m polarimetric observations towards the Orion Integral-Shaped Filament (ISF) that covers three portions known as OMC-1, OMC-2, and OMC-3. The magnetic field threading the ISF seen in the JCMT POL
Externí odkaz:
http://arxiv.org/abs/2412.17716
Autor:
Yang, Zesong, Zhang, Ru, Shi, Jiale, Ai, Zixiang, Zhao, Boming, Bao, Hujun, Yang, Luwei, Cui, Zhaopeng
Neural surface representation has demonstrated remarkable success in the areas of novel view synthesis and 3D reconstruction. However, assessing the geometric quality of 3D reconstructions in the absence of ground truth mesh remains a significant cha
Externí odkaz:
http://arxiv.org/abs/2412.14939
Autor:
Zheng, Qingyu, Han, Guijun, Li, Wei, Cao, Lige, Zhou, Gongfu, Wu, Haowen, Shao, Qi, Wang, Ru, Wu, Xiaobo, Cui, Xudong, Li, Hong, Wang, Xuan
Advances in data assimilation (DA) methods have greatly improved the accuracy of Earth system predictions. To fuse multi-source data and reconstruct the nonlinear evolution missing from observations, geoscientists are developing future-oriented DA me
Externí odkaz:
http://arxiv.org/abs/2412.13477
Autor:
Xia, Panwang, Yu, Lei, Wan, Yi, Wu, Qiong, Chen, Peiqi, Zhong, Liheng, Yao, Yongxiang, Wei, Dong, Liu, Xinyi, Ru, Lixiang, Zhang, Yingying, Lao, Jiangwei, Chen, Jingdong, Yang, Ming, Zhang, Yongjun
Cross-View Geo-Localization tackles the problem of image geo-localization in GNSS-denied environments by matching street-view query images with geo-tagged aerial-view reference images. However, existing datasets and methods often assume center-aligne
Externí odkaz:
http://arxiv.org/abs/2412.11529