Zobrazeno 1 - 10
of 3 002
pro vyhledávání: '"LV Jian"'
Publikováno v:
Liang you shipin ke-ji, Vol 32, Iss 3, Pp 195-200 (2024)
In order to clarify the controlling effect of different packaging materials on common storage pests, the penetration and survival of 7 kinds of high density polyethylene films with different concentrations of deltamethrin by the larvae of 3 common sp
Externí odkaz:
https://doaj.org/article/1bf7bbf3605d4d05ad9e25bea8e159c4
Publikováno v:
Liang you shipin ke-ji, Vol 32, Iss 1, Pp 168-176 (2024)
Stored grain is extremely vulnerable to the storage insects during storage and processing. At present, chemical control is still the main method for controlling stored grain insects. However, the increasing resistance of insects caused by long-term u
Externí odkaz:
https://doaj.org/article/afd362274a4c42478270d2a675d192d0
Publikováno v:
Genes and Environment, Vol 43, Iss 1, Pp 1-6 (2021)
Abstract Aims We designed a case-control study to investigate the effect of vitamin D receptor gene (VDR) gene single nucleotide polymorphisms (SNPs) and possible gene- environment interaction on the susceptibility of renal cell carcinoma (RCC). Meth
Externí odkaz:
https://doaj.org/article/dab703ac84c2434dbf5365e0e6d5fea7
Publikováno v:
Liang you shipin ke-ji, Vol 28, Iss 5, Pp 69-73 (2020)
The relationship between T. castaneum and S. zeamais was studied through reciprocal selectivity experiment, single rearing and mixture rearing at 30 ℃, 75% RH. The results showed that the mutual selection behavior between the two species was not ob
Externí odkaz:
https://doaj.org/article/4cdda361c42246caa336e8a2c1ad935b
Publikováno v:
Liang you shipin ke-ji, Vol 28, Iss 5, Pp 74-78 (2020)
This study investigated the boring ability of four stored grain insects including Tribolium castaneum, Cryptolestes ferrugineus, Rhizopertha dominica, and Sitophilusoryzae to seven common rice packaging materials at the temperature of 28 ℃ and rela
Externí odkaz:
https://doaj.org/article/6dfa6422d92b45419734ce573850b9b8
Autor:
Liu Ya-Li, Ding Yao-Zhong, Dai Jun-Fei, Ma Bing, He Ji-Jun, Ma Wei-Min, Lv Jian-Liang, Ma Xiao-Yuan, Ou Yun-Wen, Wang Jun, Liu Yong-Sheng, Chang Hui-Yun, Wang Yong-Lu, Zhang Qiang, Liu Xiang-Tao, Zhang Yong-Guang, Zhang Jie
Publikováno v:
Journal of Veterinary Research, Vol 62, Iss 4, Pp 431-437 (2018)
Introduction: The extremely high genetic variation and the continuously emerging variants of foot-and-mouth disease virus (FMDV) of Southern African Territory (SAT) serotypes including SAT1, SAT2, and SAT3 make it necessary to develop a new RT-PCR fo
Externí odkaz:
https://doaj.org/article/81015751722b4e6ab9d8aa4fb3d5bd31
We introduce CrystalFormer, a transformer-based autoregressive model specifically designed for space group-controlled generation of crystalline materials. The incorporation of space group symmetry significantly simplifies the crystal space, which is
Externí odkaz:
http://arxiv.org/abs/2403.15734
Autor:
Luo, Xiaoshan, Wang, Zhenyu, Gao, Pengyue, Lv, Jian, Wang, Yanchao, Chen, Changfeng, Ma, Yanming
Recent advances in deep learning generative models (GMs) have created high capabilities in accessing and assessing complex high-dimensional data, allowing superior efficiency in navigating vast material configuration space in search of viable structu
Externí odkaz:
http://arxiv.org/abs/2403.10846
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 35, Iss 1, Pp 128-132 (2018)
The frequency stability of a passive rubidium atomic frequency standard (RAFS) largely depends on the performance of the microwave cavity used in the physics package. In this paper, a large-size slotted tube microwave cavity with an inner diameter of
Externí odkaz:
https://doaj.org/article/3ac8e0d21a70453a947644986161cff2
Autor:
Zhang, Duo, Liu, Xinzijian, Zhang, Xiangyu, Zhang, Chengqian, Cai, Chun, Bi, Hangrui, Du, Yiming, Qin, Xuejian, Peng, Anyang, Huang, Jiameng, Li, Bowen, Shan, Yifan, Zeng, Jinzhe, Zhang, Yuzhi, Liu, Siyuan, Li, Yifan, Chang, Junhan, Wang, Xinyan, Zhou, Shuo, Liu, Jianchuan, Luo, Xiaoshan, Wang, Zhenyu, Jiang, Wanrun, Wu, Jing, Yang, Yudi, Yang, Jiyuan, Yang, Manyi, Gong, Fu-Qiang, Zhang, Linshuang, Shi, Mengchao, Dai, Fu-Zhi, York, Darrin M., Liu, Shi, Zhu, Tong, Zhong, Zhicheng, Lv, Jian, Cheng, Jun, Jia, Weile, Chen, Mohan, Ke, Guolin, E, Weinan, Zhang, Linfeng, Wang, Han
The rapid advancements in artificial intelligence (AI) are catalyzing transformative changes in atomic modeling, simulation, and design. AI-driven potential energy models have demonstrated the capability to conduct large-scale, long-duration simulati
Externí odkaz:
http://arxiv.org/abs/2312.15492