Testing the feasibility of the model of an RRO system for publishing in China

It is widely accepted that copyright collective administration is the indispensable exercise of copyright and related rights by organisations acting in the interest and on behalf of rights holders. Reproduction Rights Organisations (RROs) as one kind of collecting society help rights holders to enforce their reprographic rights mainly as regards photocopying since the 1970s. With its entrance into the World Trade Organisation (WTO), China became a member of the international copyright community per se in 2001. Although the history of copyright in China is not long, there have been notable efforts from the Chinese Government and rights holders to complete copyright protection system in China. On March 1, 2005, the Regulations on Copyright Collective Administration came into effect, which provides the impetus for the development of copyright collective administration and collecting societies in China. This research focused on RROs, the publishing industry and protection of reprographic rights in China. [Continues.

Watershed-level Analysis of Urban Raingarden Performance

Title from PDF of title page, viewed on May 29, 2015Thesis advisor: Deborah J. O’BannonVitaIncludes bibliographic references (pages 122-128)Thesis (M.S.)--School of Computing and Engineering. University of Missouri--Kansas City, 2013Urban flooding became to be a big issue for many cities in the world due to the urbanization. Best Management Practices (BMP) are considered to be an economically friendly solution for the urban storm water problem. The City of Kansas City began the project of "10,000 Raingarndens in Metropolitan Area" in 2008. For the project, there are a test area and a control area. Both have similar drainage areas and similar precipitation. In the test area, there are 135 rain gardens completed in June 2012. There are four flow meters to monitor the flow rate in the combined sewer. This analysis examines the watershed-level runoff response from the rain garden installation.Introduction -- Study methodology -- Results and discussion -- Future researc

The Impact of Trust and Collaboration Pattern on Farmers’ Learning Willingness and Enterprises’ Knowledge Transfer Intension: Evidence of China

The purpose of this paper is to explore the impact of trust and collaboration pattern on the learning willingness of the farmers and the enterprises’ knowledge transfer intension. The survey and literature research methodology are employed. 176 valid questionnaires were collected and OLS regression analysis is applied to answer whether trust and collaboration pattern have an impact on the learning willingness of the farmers and the enterprises’ knowledge transfer intension. The results indicate that the trust between the farmers and enterprise affects the learning willingness of the farmers and the enterprises’ knowledge transfer intension positively. The collaboration pattern affects the enterprises’ knowledge transfer intension significantly. The tighter the cooperation between the farmers and enterprise, the stronger the enterprises’ knowledge transfers intension is. The farmers’ learning willingness has no significant difference under different collaboration patterns

Hydrologic Analysis of Rain Garden Performance

Title from PDF of title page, viewed on June 1, 2016Dissertation advisor: Deborah J. O’BannonVitaIncludes bibliographical references (pages 227-231)Thesis (Ph.D.)--School of Computing and Engineering and Department of Mathematics and Statistics. University of Missouri--Kansas City, 2016Urban flooding became a significant issue for many cities worldwide due to rapid urbanization and increased impervious areas over the past two decades ([1]). Rain gardens are considered to be an economically-friendly solution for addressing this extensive urban storm water problem. The Marlborough neighborhood, in an urban (and older) area of Kansas City, MO (USA) was selected as a large study area with dense rain garden construction opportunities and applicability. The City of Kansas City introduced the rain garden project into this neighborhood to see if the rain gardens could perform well in reducing inflow to the collection system, thus reducing combined sewer system and long-term performance of rain gardens. There are seven rain gardens (part of 135 rain gardens in this six block neighborhood) that were monitored by the UMKC research team. The monitoring data reveals that the seven rain gardens have different performance responses during the same rain event. There are many candidate factors which may affect rain gardens’ hydrological performance, such as watershed area, street slope, watershed slope, impervious area, precipitation depth, precipitation duration peak precipitation intensity, and antecedent dry day. There were a total 57 rain events that were captured capacity issues. Regular and ongoing system monitoring is needed to quantify design parameters between June 2012 and June 2014 for seven monitored locations. This study presents which factors are the most significant to affect the gardens’ hydrological performance for future design. Therefore, a data-driven PCA and MLR model was developed from this study. Internal and external data validation have been processed to assess this model. Future site monitoring and design recommendation have been identified. Rain gardens’ hydrology characteristics research has been done for many years by different research groups nationwide. However, few studies show the detailed rain garden performance characteristics based on actual and varying field data. Most studies are limited to short monitoring periods and/or only one or two rain gardens. This study results can validate rain gardens’ hydrology features. Thus, it can provide valuable support for future engineering site design guidance and new data analysis approach to research work based on more robust and extensive data.Literature review -- Project background -- Data preparation -- Factorial analysis on rain garden performance -- PCA and MLR Model -- Watershed level prediction and model validation -- Conclusion and recommendations -- Appendix A. Monitored Sites Descriptions -- Appendix B. Rain Gage Data -- Appendix C. Garden Performance Hydrographs -- Appendix D. Infiltration Rate Calculation Graphs for Site 1336 and 1112 -- Appendix E. Watershed Level Dat

Improved production of chlorogenic acid from cell suspension cultures of Lonicera macranthoids

Purpose: To evaluate the potential of Lonicera macranthoides Hand. -Mazz. Yulei1 suspension culture system for enhanced production of the main secondary metabolite, chlorogenic acid.Methods: The callus of L. macranthoides Hand.-Mazz. “Yulei1” was suspension cultured in B5 liquid medium supplemented with different plant growth regulators. Biomass accumulation was calculated by weight method and chlorogenic acid production was measured using high performance liquid chromatography (HPLC). HPLC was carried out on C18 analytical column at 35 °C and the detection wavelength was set at 324 nm.Results: The results showed that maximum accumulation of biomass and chlorogenic acid were achieved 15 days after culture growth. The optimized conditions for biomass accumulation and chlorogenic acid production were 50 g/L of inoculum on fresh weight basis, B5 medium supplemented with plant growth regulators, 30 - 40 g/L sucrose and initial medium pH of 5.5. Maximum accumulation of chlorogenic acid and biomass were observed when the culture medium was supplemented with 2.0 mg/L6-BA. Optimal accumulation of chlorogenic acid was observed using combination of hormones 2.0 mg/L 6-Benzyladenine (BA) + 0.5 mg/L2, 4-Dichlorophenoxyacetic acid (2,4-D), while optimal accumulation of biomass was observed with 2.0 mg/L 6-BA + 2.0 mg/L2, 4-D. In addition, phenylalanine also contributed to the synthesis of chlorogenic acid at a concentration > 50 mg/L.Conclusion: Cell suspension cultures of L. macranthoides Hand.-Mazz. “Yulei1” have successfully been established. The findings provide a potential basis for large scale production of chlorogenic acid using cell suspension cultures of L. macranthoides.Keywords: Lonicera macranthoides, Cell suspension culture, Chlorogenic acid, Phenylalanine, Optimizatio

Clinical Implication of Coronary Tortuosity in Patients with Coronary Artery Disease

Background: Coronary tortuosity (CT) is a common coronary angiography finding. The exact pathogenesis, clinical implication and long-term prognosis of CT are not fully understood. The purpose of this study is to investigate the clinical characteristics of CT in patients with suspected coronary artery disease(CAD) in a Chinese population. Methods: A total of 1010 consecutive patients underwent coronary angiography with complaints of chest pain or related symptoms were included in the present study (544 male, mean age: 64611 years). CT was defined by the finding of $3 bends (defined as$45u change in vessel direction) along main trunk of at least one artery in systole and in diastole. Patients with or without CAD were further divided into CT-positive and CT-negative groups, all patients were followed up for the incidence of major adverse cardiovascular events (MACE) for 2 to 4 years. Results: The prevalence of CT was 39.1 % in this patient cohort and incidence of CT was significantly higher in female patients than that in male patients (OR = 2.603, 95%CI 1.897, 3.607, P,0.001). CT was positively correlated with essential hypertension (OR = 1.533, 95%CI 1.131, 2.076, P = 0.006) and negatively correlated with CAD (OR = 0.755, 95%CI 0.574, 0.994, P = 0.045). MACE during follow up was similar between CAD patients with or without CT. Conclusions: CT is more often seen in females and positively correlated with hypertension and negatively correlated wit

Online channel operation mode: game theoretical analysis from the supply chain power structures

Purpose: Dual-channels have been widely used in practice, and the pricing decisions and the online channel operation mode choice have been the core problems in dual-channel supply chain management. This paper focuses on the online channel operation mode choice from the supply chain power structures based on game theoretical analysis. Design/methodology/approach: This paper utilizes three kinds of game theoretical models to analyze the impact of supply chain power structures on the optimal pricing and online channel operation mode choice. Findings: Results derived in this paper indicate that when the self-price elasticity is large, the power structures have no direct impact on the decisions. However, when the self-price elasticity is small and customers’ preference for the online channel is low, then in the MS market, it is better for the retailer to operate the online channel, while in the RS market or in the VN market, it is better for the manufacturer to operate the online channel. Research limitations/implications: In this paper, we do not consider stochastic demand and asymmetric information, which may not well suit the reality. Originality/value: This paper provides a different perspective to analyze the impact of supply chain power structures on the pricing decisions and online channel operation mode choice. The comparison of these two online channel operation modes in this paper is also a unique point.Peer Reviewe

Haar Graph Pooling

Deep Graph Neural Networks (GNNs) are useful models for graph classification and graph-based regression tasks. In these tasks, graph pooling is a critical ingredient by which GNNs adapt to input graphs of varying size and structure. We propose a new graph pooling operation based on compressive Haar transforms -- HaarPooling. HaarPooling implements a cascade of pooling operations; it is computed by following a sequence of clusterings of the input graph. A HaarPooling layer transforms a given input graph to an output graph with a smaller node number and the same feature dimension; the compressive Haar transform filters out fine detail information in the Haar wavelet domain. In this way, all the HaarPooling layers together synthesize the features of any given input graph into a feature vector of uniform size. Such transforms provide a sparse characterization of the data and preserve the structure information of the input graph. GNNs implemented with standard graph convolution layers and HaarPooling layers achieve state of the art performance on diverse graph classification and regression problems.Comment: 14 pages, 4 figures, 7 tables; Published in ICML202