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
More filters
Journal ArticleDOI
Cogeneration of hydrogen and lipid from stimulated food waste in an integrated dark fermentative and microalgal bioreactor.
TL;DR: It was revealed that Clostridium was the dominant bacteria for H2 generation, and the IDFMB can improve the survival environment of microorganisms and provide a novel strategy for efficient energy recovery from food waste.
Journal ArticleDOI
Simultaneous adsorption and oxidation of para arsanilic acid by a highly efficient nanostructured Fe-Ti-Mn composite oxide
Wei Zhang,Wei Liu,Guoliang Li,Wei Du,Jianbo Lu,Jianguo Song,Qixia Yang,Xiangming Li,Huizhong Xu,Xu He,Jun Ma +10 more
TL;DR: In this article, a nanostructured Fe-Ti-Mn composite oxide (FTMO) was used for simultaneous adsorption and oxidation of para arsanilic acid (p-ASA).
Journal ArticleDOI
Degradation and Transformation of Organic Compounds in Songhua River Water by Catalytic Ozonation in the Presence of TiO2/Zeolite
TL;DR: In this article, experimental results of the catalytic ozonation of Songhua River water in the presence of nano-TiO2 supported on Zeolite were presented.
Journal ArticleDOI
Reduced Graphene Oxide Triggers Peracetic Acid Activation for Robust Removal of Micropollutants: The Role of Electron Transfer.
Dezhen Kong,Yumeng Zhao,Xi Gang Fan,Xianshi Wang,Jiaxuan Li,Xiaoxiong Wang,Junyong Nan,Jun Ma +7 more
TL;DR: In this article , the use of reduced graphene oxide (rGO) for PAA activation via a non-radical pathway was explored, and the rGO-PAA system exhibited near-complete removal of typical micropollutants (MPs) within a short time (<2 min).
Journal ArticleDOI
A Nomogram Based on Serum Biomarkers and Clinical Characteristics to Predict Survival in Patients With Non-Metastatic Nasopharyngeal Carcinoma.
Qing-Jie Li,Yan Ping Mao,Rui Guo,Cheng-Long Huang,Xue-Liang Fang,Jun Ma,Ling-Long Tang,Lei Chen +7 more
TL;DR: The nomogram led to a more precise prognostic prediction for NPC patients in comparison with the 8th TNM system and could facilitate individualized and personalized patients’ counseling and care.