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Xuefeng Chen
Researcher at Shaanxi University of Science and Technology
Publications - 5
Citations - 79
Xuefeng Chen is an academic researcher from Shaanxi University of Science and Technology. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 1, co-authored 1 publications receiving 37 citations.
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Journal ArticleDOI
Effects of potato/wheat flours ratio on mixing properties of dough and quality of noodles
Huayin Pu,Jianling Wei,Le Wang,Junrong Huang,Xuefeng Chen,Cangxue Luo,Shuxing Liu,Hong Zhang +7 more
TL;DR: In this article, the effects of potato flour/wheat flour (PF/WF) ratio on the mixing properties of dough and the quality of noodles were investigated, indicating that the addition of PF weakened dough strength but improved degradation resistance.
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Boosting photocatalytic activity through tuning electron spin states and external magnetic fields
Cheng Xiao Peng,Wen-Bin Fan,Qian Li,Wenhui Han,Xuefeng Chen,Guangbiao Zhang,Yu Li Yan,Qinfen Gu,Chao Wang,Huarong Zhang,Peiyu Zhang +10 more
TL;DR: In this paper , the authors highlight the recent breakthroughs through manipulating spin states and applying external magnetic fields for enhancing photocatalytic reactions and discuss the separation enhancement of photoinduced carriers under static and time-varying magnetic fields and magneto-hydrodynamic effect of charged particles.
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Experimental investigation of aeroelastic instabilities in an aeroengine fan: Using acoustic measurements
TL;DR: In this article , an alternative way to study vibrations using acoustic measurements and the acoustic mode decomposition is presented, which is validated by experiments on a realistic aero-engine fan with 3.5 stages.
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Multi-Source Remote Sensing Intelligent Characterization Technique-Based Disaster Regions Detection in High-Altitude Mountain Forest Areas
Haifeng Wang,Hualong Cao,Yan Kai,Haicheng Bai,Xuefeng Chen,Yang Yang,Ling Xing,Chengjiang Zhou +7 more
TL;DR: An object detection network based on the dynamic extraction of multisource image features to solve the above problems is proposed and verified that when the detection error rate is less than 5%, the accuracy of the detection model reaches more than 85%.
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A Comparation Between Different Iron Sources on Growth Performance, Iron Utilization, Antioxidant Capacity and Non-specific Immunity in Eriocheir sinensis
Ying Song,Xiaodan Wang,Xianyong Bu,Qincheng Huang,Fa-Dong Qiao,Xuefeng Chen,Qingchao Shi,Jianguang Qin,Liqiao Chen +8 more
TL;DR: In this paper , the effects of different iron sources on the growth performance, iron utilization, antioxidant capacity and non-specific immunity in Eriocheir sinensis were determined, and it was shown that ferrous glycine might be the proper iron source for improving growth performance.