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- 저자 : Honglong Wu (검색결과 4 건)
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Honglong Zhan,Yingjun Qiao,Zhiqiang Qian,Jun Li,Zhijian Wu,Xiaogang Hao,Zhong Liu 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.114 No.-
The manganese-based spinel adsorbent (HMO) refers to lithium-ion adsorbents derived from the spinellithium manganese oxide (LMO). Two types of lithium ions extraction composite films composed of HMO(HMn2O4 and H1.6Mn1.6O4) are successfully prepared by the blade coating method. Based on the excellentLi+ selectivity of HMO and the outstanding conductivity of conductive carbon black (C), HMO/C films arecarried out to extract lithium by electrochemically switched ion exchange (ESIX) technique. HMO has acertain adsorption capacity for Li+ when the Li+ concentration is close to the actual brine, and the adsorptioncapacity of HMn2O4 and H1.6Mn1.6O4 is 24.56 mg/g and 34.40 mg/g, respectively. HMO showed goodselectivity for Li+ in multiple metal ions solution. The capacity of HMn2O4 and H1.6Mn1.6O4 keep 80% and86% of the initial values after 5 cycles, respectively. The inherent different lithium occupied leads to thedifference of electrical-adsorption abilities between HMn2O4 and H1.6Mn1.6O4. H1.6Mn1.6O4 has a broadapplication prospect in lithium extraction from salt lake brine due to its lower application voltage, largeadsorption capacity and superior stability.
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A TOPIC MODEL OF SOCIAL INTERACTIONS IN LIVE-STREAMING COMMERCE
Honglong Wang,Guoxin Li,Xiaodong Xie,Shaohui Wu 글로벌지식마케팅경영학회 2023 Global Marketing Conference Vol.2023 No.07
The popularity of live streaming is driving the emergence of a new business model, known as live-streaming commerce (LSC). Consumers spend more and more time on smartphones, and the emerging business model of live-streaming commerce (LSC) is flourishing in the retail industry. With highly interactive features, LSC social interactions influence viewer purchase behaviors. To examine the interactions between influencers and viewers, we collected a rich dataset from a leading LSC service platform and integrated research models from the natural language process (NLP) field and econometric models.
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HOW DO BROADCASTERS BEHAVE ON LIVE STREAMING PLATFORMS? A MACHINE LEARNING APPROACH
Honglong Wang,Guoxin Li,Xiaodong Xie,Shaohui Wu 글로벌지식마케팅경영학회 2023 Global Marketing Conference Vol.2023 No.07
The popularity of live streaming is driving the emergence of a new business model, known as live-streaming commerce (LSC). While there are more and more broadcasters in LSC, their behaviors and performance of them are significantly different. To have a better understanding of broadcasters, we employ different machine learning models to identify different portraits in both static and dynamic dimensions. We collect a rich live-streaming dataset from one leading platform in China. Our dataset features information for both broadcasters and viewers, including viewers’ purchasing behaviors, viewers’ records of posting words, broadcasters’ gender, the number of followers for broadcasters, and the live streaming show information, including the start and end time, and the viewers in each live streaming show. The rich textual information in broadcasters’ profile induction provides us a good opportunity to uncover different static portraits and the records in live streaming shows give us a chance to identify different dynamic behavioral portraits for broadcasters.
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Ming Yao,Jiali Zhou,Yicheng Zhu,Yinxin Zhang,Xia Lv,Ruixue Sun,Ao Shen,Haitao Ren,Liying Cui,Hongzhi Guan,Honglong Wu 대한신경과학회 2016 Journal of Clinical Neurology Vol.12 No.4
Background and Purpose Encephalitis caused by Listeria monocytogenes (L. monocyto¬genes) is rare but sometimes fatal. Early diagnosis is difficult using routine cerebrospinal flu¬id (CSF) tests, while next-generation sequencing (NGS) is increasingly being used for the detection and characterization of pathogens. Methods This study set up and applied unbiased NGS to detect L. monocytogenes in CSF collected from three cases of clinically suspected listeria meningoencephalitis. Results Three cases of patients with acute/subacute meningoencephalitis are reported. Magnetic resonance imaging and blood cultures led to a suspected diagnosis of L. monocy¬togenes, while the CSF cultures were negative. Unbiased NGS of CSF identified and se¬quenced reads corresponding to L. monocytogenes in all three cases. Conclusions This is the first report highlighting the feasibility of applying NGS of CSF as a diagnostic method for central nervous system (CNS) L. monocytogenes infection. Routine application of this technology in clinical microbiology will significantly improve diagnostic methods for CNS infectious diseases.
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