Research on the Influence of Live e-Commerce Broadcasting on Consumer Purchase Intention Based on Content Marketing

Mingli Hu(Mingli Hu),Yeong-Gil Kim(Yeong-Gil Kim),Jungwoo Park(Jungwoo Park) The International Academy of Global Business and T 2023 The International Academy of Global Business and T Vol.19 No.4

Purpose – In recent years, e-commerce live broadcasting has received attention from theoretical scholars and practical experts for its online interactive promotional capabilities. In the context of e-commerce live streaming, this article provides new ideas for exploring the logic of content marketing by exploring the paths of various dimensions of e-commerce live streaming content marketing on consumer purchase intention, and clarifying the interrelationships among the variables. Design/Methodology/Approach – Based on SOR theory, this article takes content marketing as the entry point to explore the influence mechanism of e-commerce live content marketing on consumer purchase intention from the perspective of consumers. Empirical data were obtained through questionnaires; 393 valid samples were analyzed using SPSS26 and AMOS26 tools, and research hypotheses were verified using structural equation modeling. Findings – The four dimensions of content marketing, functionality, entertainment, emotion, and interactivity can positively influence consumer purchase intention to varying degrees. Content marketing positively influences perceived value, perceived value positively influences purchase intention, and perceived value partially mediates the relationship between content marketing and purchase intention. Research Implications – This study reveals the mechanism of the influence of e-commerce live content marketing on consumer purchase intention, provides guidance for live anchors and e-commerce sellers, and, at the same time, helps consumers understand themselves and make more rational consumption decisions.

Support Vector Machine Based on Type-2 Fuzzy Training Samples

Ming-hu Ha,Jia-ying Huang,Yang Yang,Chao Wang 대한산업공학회 2012 Industrial Engineeering & Management Systems Vol.11 No.1

In order to deal with the classification problems of type-2 fuzzy training samples on generalized credibility space. Firstly the type-2 fuzzy training samples are reduced to ordinary fuzzy samples by the mean reduction method. Secondly the definition of strong fuzzy linear separable data for type-2 fuzzy samples on generalized credibility space is introduced. Further, by utilizing fuzzy chance-constrained programming and classic support vector machine, a support vector machine based on type-2 fuzzy training samples and established on generalized credibility space is given. An example shows the efficiency of the support vector machine.

Novelty detection methods for online health monitoring and post data analysis of turbopumps

Hu Lei,Hu Niaoqing,Zhang Xinpeng,Gu Fengshou,Gao Ming 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.7

As novelty detection works when only normal data are available, it is of considerable promise for health monitoring in cases lacking fault samples and prior knowledge. We present two novelty detection methods for health monitoring of turbopumps in large-scale liquidpropellant rocket engines. The first method is the adaptive Gaussian threshold model. This method is designed to monitor the vibration of the turbopumps online because it has minimal computational complexity and is easy for implementation in real time. The second method is the one-class support vector machine (OCSVM) which is developed for post analysis of historical vibration signals. Via post analysis the method not only confirms the online monitoring results but also provides diagnostic results so that faults from sensors are separated from those actually from the turbopumps. Both of these two methods are validated to be efficient for health monitoring of the turbopumps.

RepFinder : Finding Approximately Repeated Scene Elements for Image Editing

Ming-Ming Cheng,Fang-Lue Zhang,Niloy J. Mitra,Xiaolei Huang,Shi-Min Hu (사)한국CDE학회 2010 한국CAD/CAM학회 국제학술발표 논문집 Vol.2010 No.8

Hypoxia-Inducible Factor 1 Promoter-Induced JAB1 Overexpression Enhances Chemotherapeutic Sensitivity of Lung Cancer Cell Line A549 in an Anoxic Environment

Hu, Ming-Dong,Xu, Jian-Cheng,Fan, Ye,Xie, Qi-Chao,Li, Qi,Zhou, Chang-Xi,Mao, Mei,Yang, Yu Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.5

The presence of lung cancer cells in anoxic zones is a key cause od chemotherapeutic resistance. Thus, it is necessary to enhance the sensitivity of such lung cancer cells. However, loss of efficient gene therapeutic targeting and inefficient objective gene expression in the anoxic zone in lung cancer are dilemmas. In the present study, a eukaryotic expression plasmid pUC57-HRE-JAB1 driven by a hypoxia response elements promoter was constructed and introduced into lung cancer cell line A549. The cells were then exposed to a chemotherapeutic drug cis-diamminedichloroplatinum (C-DDP). qRT-PCR and western blotting were used to determine the mRNA and protein level and flow cytometry to examine the cell cycle and apoptosis of A549 transfected pUC57-HRE-JAB1. The results showed that JAB1 gene in the A549 was overexpressed after the transfection, cell proliferation being arrested in G1 phase and the apoptosis ratio significantly increased. Importantly, introduction of pUC57-HRE-JAB1 significantly increased the chemotherapeutic sensitivity of A549 in an anoxic environment. In conclusion, JAB1 overexpression might provide a novel strategy to overcome chemotherapeutic resistance in lung cancer.

Forecasting Day-ahead Electricity Price Using a Hybrid Improved Approach

Hu, Jian-Ming,Wang, Jian-Zhou The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.6

Electricity price prediction plays a crucial part in making the schedule and managing the risk to the competitive electricity market participants. However, it is a difficult and challenging task owing to the characteristics of the nonlinearity, non-stationarity and uncertainty of the price series. This study proposes a hybrid improved strategy which incorporates data preprocessor components and a forecasting engine component to enhance the forecasting accuracy of the electricity price. In the developed forecasting procedure, the Seasonal Adjustment (SA) method and the Ensemble Empirical Mode Decomposition (EEMD) technique are synthesized as the data preprocessing component; the Coupled Simulated Annealing (CSA) optimization method and the Least Square Support Vector Regression (LSSVR) algorithm construct the prediction engine. The proposed hybrid approach is verified with electricity price data sampled from the power market of New South Wales in Australia. The simulation outcome manifests that the proposed hybrid approach obtains the observable improvement in the forecasting accuracy compared with other approaches, which suggests that the proposed combinational approach occupies preferable predication ability and enough precision.

Compaction techniques and construction parameters of loess as filling material

Hu, Chang-Ming,Wang, Xue-Yan,Mei, Yuan,Yuan, Yi-Li,Zhang, Shan-Shan Techno-Press 2018 Geomechanics & engineering Vol.15 No.6

Loess often causes problems when used as a filling material in the construction of foundations. Therefore, the compaction technique, shear behavior, and bearing capacity of a filled foundation should be carefully considered. A series of tests was performed in this study to obtain effective compaction techniques and construction parameters. The results indicated that loess is strongly sensitive to water. Thus, the soil moisture content should be kept within 12%-14% when it is used as a filling material. The vibrating-dynamic combination compaction technique is effective and has fewer limitations than other methods. In addition, the shear strength of the compacted loess was found to increase linearly with the degree of compaction, and the soil's compressibility decreased rapidly with an increase in the degree of compaction when the degree of compaction was less than 95%. Finally, the characteristic value of the bearing capacity increased with an increase in the degree of compaction in a ladder-type way when the degree of compaction was within 92%-95%. Based on the test data, this paper could be used as a reference in the selection of construction designs in similar engineering projects.

MIMO Ad Hoc Networks: Medium Access Control, Saturation Throughput, and Optimal Hop Distance

Hu, Ming,Zhang, Junshan The Korea Institute of Information and Commucation 2004 Journal of communications and networks Vol.6 No.4

In this paper, we explore the utility of recently discovered multiple-antenna techniques (namely MIMO techniques) for medium access control (MAC) design and routing in mobile ad hoc networks. Specifically, we focus on ad hoc networks where the spatial diversity technique is used to combat fading and achieve robustness in the presence of user mobility. We first examine the impact of spatial diversity on the MAC design, and devise a MIMO MAC protocol accordingly. We then develop analytical methods to characterize the corresponding saturation throughput for MIMO multi-hop networks. Building on the throughout analysis, we study the impact of MIMO MAC on routing. We characterize the optimal hop distance that minimizes the end-to-end delay in a large network. For completeness, we also study MAC design using directional antennas for the case where the channel has a strong line of sight (LOS) component. Our results show that the spatial diversity technique and the directional antenna technique can enhance the performance of mobile ad hoc networks significantly.

MIMO Ad Hoc Networks: Medium Access Control, Saturation Throughput, and Optimal Hop Distance

Ming Hu,Junshan Zhang 한국통신학회 2004 Journal of communications and networks Vol.6 No.4

Fucosylated Chondroitin Sulfate From Sea Cucumber Improves Glucose Metabolism and Activates Insulin Signaling in the Liver of Insulin-Resistant Mice

Shiwei Hu,Ying-Ying Tian,Yao-Guang Chang,Zhao-Jie Li,Chang-Hu Xue,Yu-Ming Wang 한국식품영양과학회 2014 Journal of medicinal food Vol.17 No.7

This study investigated the effects of fucosylated chondroitin sulfate (CHS) isolated from sea cucumber on glucose metabolism and insulin signaling in the liver of insulin-resistant C57BL/6 mice fed a high-fat, high-sucrose diet (HFSD). Male C57BL/6J mice were randomly assigned into six groups: control; HFSD; 1mg RSG/kg$body weight (RSG); 80 mg CHS/kg$body weight (CHS); 20 mg CHS + 1mg RSG/kg$body weight (20 CHS + RSG); and 80 mg CHS + 1mg RSG/kg$body weight (80 CHS + RSG). Blood glucose, insulin parameters, glucose metabolism-related enzymes activities and insulin-signaling transducers in the liver were analyzed at 19 weeks. Results showed that CHS significantly decreased body weight gain, adipose tissue weight, and fasting blood glucose and serum insulin levels in insulin-resistant mice. Rosiglitazone (RSG) is an effective thiazolidinedione hypoglycemic agent, and CHS synergistically enhanced the effect of RSG. CHS feeding normalized the activities of hexokinase, pyruvate kinase, glycogen phosphorylase, glucose-6-phosphatase, and increased glycogen reserves in the liver. Quantitative real-time polymerase chain reaction (qRT-PCR) analysis showed that CHS promoted the mRNA expression of insulin receptors (IR), insulin receptor substrate 2 (IRS-2), phosphatidylinositol 3 kinase (PI3K), protein kinase B (PKB), and glycogen synthase (GS) in the liver of insulin resistant mice, and inhibited glycogen synthase kinase-3 (GSK-3b) mRNA expression. The results suggested that CHS treatment improved glucose metabolism by modulating metabolic enzymes and promoting the PI3K/PKB/GSK-3b signaling pathway mediated by insulin at the transcriptional level. These results provided strong justification for the development of CHS as a functional food.