Zobrazeno 1 - 10
of 707
pro vyhledávání: '"Ge Cheng"'
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-16 (2024)
Abstract Background Radiotherapy is one of the mainstays of cancer therapy and has been used for treating 65–75% of patients with solid tumors. However, radiotherapy of tumors has two limitations: high-dose X-rays damage adjacent normal tissue and
Externí odkaz:
https://doaj.org/article/17e2a2923ab44185b6b8f6403fd8d38b
Publikováno v:
Food Materials Research, Vol 4, Iss 1, Pp 1-6 (2024)
Edible bird's nest (EBN) is considered a delicacy in Chinese cuisine. The nests are produced by male swiftlets (Aerodramus sp.). Due to their high price, the nutritional benefit from EBN can currently only be afforded by affluent consumers. Therefore
Externí odkaz:
https://doaj.org/article/31b28ea3eaf84ee1bedb0c65c3766d57
Current reinforcement-learning methods are unable to directly learn policies that solve the minimum cost reach-avoid problem to minimize cumulative costs subject to the constraints of reaching the goal and avoiding unsafe states, as the structure of
Externí odkaz:
http://arxiv.org/abs/2410.22600
Autor:
Ma, Jun, Zhang, Yao, Gu, Song, Ge, Cheng, Wang, Ershuai, Zhou, Qin, Huang, Ziyan, Lyu, Pengju, He, Jian, Wang, Bo
Organ and cancer segmentation in abdomen Computed Tomography (CT) scans is the prerequisite for precise cancer diagnosis and treatment. Most existing benchmarks and algorithms are tailored to specific cancer types, limiting their ability to provide c
Externí odkaz:
http://arxiv.org/abs/2408.12534
Autor:
Fen Zhao, Yiyu Shi, Leilei Xu, Mindong Chen, Yingying Xue, Cai-E Wu, Jian Qiu, Ge Cheng, Jingxin Xu, Xun Hu
Publikováno v:
Nanomaterials, Vol 12, Iss 17, p 3020 (2022)
In this work, a series of Cu2O/S (S = α-MnO2, CeO2, ZSM-5, and Fe2O3) supported catalysts with a Cu2O loading amount of 15% were prepared by the facile liquid-phase reduction deposition–precipitation strategy and investigated as CO oxidation catal
Externí odkaz:
https://doaj.org/article/4c1601ed3e014f95a2b898f82c05d043
Publikováno v:
Adsorption Science & Technology, Vol 2021 (2021)
The magnetic adsorption material of polyaniline (PANI) with amino functional group combined with CuFe2O4 (CuFe2O4/PANI nanocomposite) has been described in this work. It has been characterized by TEM, XRD, XPS, BET, FTIR, and VSM, respectively. Signi
Externí odkaz:
https://doaj.org/article/0d7dd127d1ec43f9bd9b65dc6ff57cb6
Publikováno v:
Adsorption Science & Technology, Vol 36 (2018)
The metal–organic frameworks material functionalized by grafting amino group of tetraethylenepentamine on the coordinative unsaturated Cr (III) centers is described. The obtained tetraethylenepentamine-functionalized adsorbents with different mass
Externí odkaz:
https://doaj.org/article/03f6fef87ed240fc844da88526a20b1d
Autor:
Ma, Jun, Xie, Ronald, Ayyadhury, Shamini, Ge, Cheng, Gupta, Anubha, Gupta, Ritu, Gu, Song, Zhang, Yao, Lee, Gihun, Kim, Joonkee, Lou, Wei, Li, Haofeng, Upschulte, Eric, Dickscheid, Timo, de Almeida, José Guilherme, Wang, Yixin, Han, Lin, Yang, Xin, Labagnara, Marco, Gligorovski, Vojislav, Scheder, Maxime, Rahi, Sahand Jamal, Kempster, Carly, Pollitt, Alice, Espinosa, Leon, Mignot, Tâm, Middeke, Jan Moritz, Eckardt, Jan-Niklas, Li, Wangkai, Li, Zhaoyang, Cai, Xiaochen, Bai, Bizhe, Greenwald, Noah F., Van Valen, David, Weisbart, Erin, Cimini, Beth A., Cheung, Trevor, Brück, Oscar, Bader, Gary D., Wang, Bo
Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or require manual interventions to specify hyper-parameters in different exp
Externí odkaz:
http://arxiv.org/abs/2308.05864
Autor:
Ma, Jun, Zhang, Yao, Gu, Song, Ge, Cheng, Ma, Shihao, Young, Adamo, Zhu, Cheng, Meng, Kangkang, Yang, Xin, Huang, Ziyan, Zhang, Fan, Liu, Wentao, Pan, YuanKe, Huang, Shoujin, Wang, Jiacheng, Sun, Mingze, Xu, Weixin, Jia, Dengqiang, Choi, Jae Won, Alves, Natália, de Wilde, Bram, Koehler, Gregor, Wu, Yajun, Wiesenfarth, Manuel, Zhu, Qiongjie, Dong, Guoqiang, He, Jian, Consortium, the FLARE Challenge, Wang, Bo
Quantitative organ assessment is an essential step in automated abdominal disease diagnosis and treatment planning. Artificial intelligence (AI) has shown great potential to automatize this process. However, most existing AI algorithms rely on many e
Externí odkaz:
http://arxiv.org/abs/2308.05862
The Multi-Objective Multi-Agent Path Finding (MO-MAPF) problem is the problem of finding the Pareto-optimal frontier of collision-free paths for a team of agents while minimizing multiple cost metrics. Examples of such cost metrics include arrival ti
Externí odkaz:
http://arxiv.org/abs/2211.12885