Zobrazeno 1 - 10
of 215
pro vyhledávání: '"WANG Keqin"'
Publikováno v:
Shuitu Baochi Xuebao, Vol 38, Iss 2, Pp 326-338 (2024)
[Objective] To study the effect of contour reverse-slope terrace (CRT) on micro-ecological characteristics of rhizosphere soil in maize continuous cropping and maize-kidney bean rotation system. [Methods] With corn bean wheel as the study object and
Externí odkaz:
https://doaj.org/article/422fe9d19a1f4772a53d59773eec775a
Publikováno v:
Fushe yanjiu yu fushe gongyi xuebao, Vol 41, Iss 1, Pp 94-104 (2023)
To explore the effects of absorbed dose and particle size on enzymatic hydrolysis and fermentation of reed straws (Phragmites australias), the straws were irradiated with γ-ray irradiation at different doses (0-500 kGy) and then passed through diffe
Externí odkaz:
https://doaj.org/article/de20b5106cfe4522a122304815c986aa
Publikováno v:
Fushe yanjiu yu fushe gongyi xuebao, Vol 41, Iss 6, Pp 060401-060401 (2023)
Rapeseed straw was used as raw material to investigate the changes in the lignocellulosic components, types and contents of degradation products after different absorbed doses of 60Co-γ-ray irradiation, and the enzymatic hydrolysis and fermentation
Externí odkaz:
https://doaj.org/article/1129847b23e040368b97347b82787389
Publikováno v:
Fushe yanjiu yu fushe gongyi xuebao, Vol 40, Iss 4, Pp 41-50 (2022)
In this study, Triarrhena lutarioriparia was irradiated by a 5 MeV electron accelerator. The effects of temperature, formic acid concentration, and absorbed dose on the separation efficiency of cellulose from Triarrhena lutarioriparia were investigat
Externí odkaz:
https://doaj.org/article/833d7da4c1834715bc92760fa42ce69d
Autor:
WU Xiaofen, LEI Shuting, CHU Yi, SU Xiaojun, CHEN Liang, QI Hui, ZHAO Caifeng, DENG Ming, WANG Keqin
Publikováno v:
Fushe yanjiu yu fushe gongyi xuebao, Vol 40, Iss 2, Pp 78-87 (2022)
The effect of 5-MeV electron accelerator irradiation of 400 kGy on the formic acid cycling separation of cellulose, lignin, and xylose from Triarrhena lutarioriparia (TL) were studied, and the enzymatic conversion rate and structural characteristics
Externí odkaz:
https://doaj.org/article/29eaeab464d8444d97394cd15ab09a34
Autor:
ZHAO Caifeng, YANG Yahui, LUO Lin, YU Weidong, XIE Hongke, ZHANG Leping, ZHANG Yong, ZHOU Yiji, WU Xiaofen, SHAO Ying, SHAO Sai, WANG Keqin
Publikováno v:
Fushe yanjiu yu fushe gongyi xuebao, Vol 40, Iss 1, Pp 13-26 (2022)
This work highlights the radiation-induced syntheses of numerous semiconductor nanomaterials, including metal oxides, metal sulfides, metal selenides, polymers, surface precious metal nanoparticles deposition, and vacancy-defect semiconductors. The m
Externí odkaz:
https://doaj.org/article/edda32f28e314d27b4f68c7ebe379901
Autor:
XIE Hui, LIU An, CHEN Liang, WU Xiaofen, QI Hui, ZHANG Qiling, WANG Zhen, DENG Ming, WANG Keqin, LIU Suchun
Publikováno v:
Fushe yanjiu yu fushe gongyi xuebao, Vol 41, Iss 3, Pp 030401-030401 (2023)
We used 60Co-γ ray and electron beam irradiation to mutate Bacillus velezensis to breed genetically stable mutant strains. The mutant strains were screened and re-screened by plate confrontation and the four-point method to study their antibacterial
Externí odkaz:
https://doaj.org/article/c90d17b4925544289164fac45099b978
Publikováno v:
Fushe yanjiu yu fushe gongyi xuebao, Vol 41, Iss 2, Pp 020401-020401 (2023)
The study investigated the chemical composition, supramolecular structures, particle size distribution, and enzymatic efficiency of Phragmites australis lignocelluloses (PALs) with different moisture contents and treatment with 5 MeV electron beam ir
Externí odkaz:
https://doaj.org/article/2d2c27a0923347b1b0f83e7d4b22729e
Autor:
Yang, Yulong, Feng, Bowen, Wang, Keqin, Leonard, Naomi, Dieng, Adji Bousso, Allen-Blanchette, Christine
From pedestrians to Kuramoto oscillators, interactions between agents govern how a multitude of dynamical systems evolve in space and time. Discovering how these agents relate to each other can improve our understanding of the often complex dynamics
Externí odkaz:
http://arxiv.org/abs/2406.14746
Learning control policies with large discrete action spaces is a challenging problem in the field of reinforcement learning due to present inefficiencies in exploration. With high dimensional action spaces, there are a large number of potential actio
Externí odkaz:
http://arxiv.org/abs/2209.09329