J
Jun Ma
Researcher at Harbin Institute of Technology
Publications - 1523
Citations - 58397
Jun Ma is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Nasopharyngeal carcinoma & Medicine. The author has an hindex of 97, co-authored 1338 publications receiving 39643 citations. Previous affiliations of Jun Ma include Shenyang Aerospace University & University of Technology, Sydney.
Papers
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Role of the propagation reactions on the hydroxyl radical formation in ozonation and peroxone (ozone/hydrogen peroxide) processes.
TL;DR: The competition method (taking the OH• exposure and scavenging capacity of water matrix into account) was recommended to determine the Ф values, and thus the relatively higher values in ozonation were obtained as compared with the "tert-Butanol (tBuOH) assay" (with excess tBuOH to scavenge OH• producing stoichiometric formaldehyde).
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Design of a Cu(I)/C-doped boron nitride electrocatalyst for efficient conversion of CO2 into acetic acid
Xiaofu Sun,Qinggong Zhu,Xinchen Kang,Huizhen Liu,Qingli Qian,Jun Ma,Zhaofu Zhang,Guanying Yang,Buxing Han +8 more
TL;DR: In this paper, N-based Cu(I)/C-doped boron nitride (BN-C) composites for electrocatalytic reduction of CO2 to acetic acid were used.
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Improvement of settleability and dewaterability of sludge by newly prepared alkaline ferrate solution
Yulei Liu,Lu Wang,Jun Ma,Xiaodan Zhao,Zhuangsong Huang,Gurumurthy Dummi Mahadevan,Jingyao Qi +6 more
TL;DR: In this article, the newly prepared newly prepared alkaline ferrate (NPAF), containing Fe(VI) and KOH, could effectively disrupt sludge structure and simultaneously improved the dewaterability.
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Student rules: Exploring patterns of students’ computer-efficacy and engagement with digital technologies in learning
Sarah K. Howard,Jun Ma,Jie Yang +2 more
TL;DR: This paper proposes the use of data mining techniques to examine unique patterns among key factors of students’ technology use and experiences related to learning, as a way to inform teachers’ practice and learning design.
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Degradation of organic pollutants by Vacuum-Ultraviolet (VUV): Kinetic model and efficiency.
TL;DR: An effective and simple kinetic model is proposed to describe the degradation of organic pollutants in VUV system, by taking the •OH scavenging effects of formed organic intermediates as co-existing organic matter in whole and predicting its degradation kinetics under different conditions.