Port shoreline resources are the basis of port and shipping development, and its assessment method has become one of the hot issues in port research. On the basis of constructing a reasonable index evaluation system, this paper constructs the fuzzy evaluation matrix based on the triangular fuzzy analytic hierarchy process and constructs the fuzzy evaluation matrix by using the fuzzy comprehensive evaluation method, and obtains the maximum membership degree of the port shoreline resources. Compared with the traditional port shoreline Resource evaluation methods, the new one got more advantages in objective and quantitative. Finally, Combined with the Nanjing section of the Yangtze River as a case for verification, the results show that the model can accurately solve the problem of resource evaluation of port shoreline.
Port as one of the key hubs of international logistics, which has become the main part and the base of global logistics management. The port enterprises, plays an important role in the global supply chain. However, due to the lack of understanding in port supply chain management, coordination between the port enterprises, the integration of business process is not perfect, the lack of information sharing between various organizations, ports enterprises usually failed to fully play its positive role. Based on this, the paper makes the port enterprises as the research object, and introduces the excellent performance mode into the port enterprises. In order to study the port enterprises how to carry out effective quality management, and formation the coordination and integration of upstream and downstream of enterprises, so as to realize the competitive advantage in port logistics.
Marine transportation is the most important transport mode of in the international trade, but the maritime supply chain is facing with many risks. At present, most of the researches on the risk of the maritime supply chain focus on the risk identification and risk management, and barely carry on the quantitative analysis of the logical structure of each influencing factor. This paper uses the interpretative structure model to analysis the maritime supply chain risk system. On the basis of comprehensive literature analysis and expert opinion, this paper puts forward 16 factors of maritime supply chain risk system. Using the interpretative structure model to construct maritime supply chain risk system, and then optimize the model. The model analyzes the structure of the maritime supply chain risk system and its forming process, and provides a scientific basis for the controlling the maritime supply chain risk, and puts forward some corresponding suggestions for the prevention and control the maritime supply chain risk.
To gain insights into the regulatory networks of miRNAs related to golden colour formation in Ginkgo biloba leaves, we constructed an sRNA library of golden-green striped mutant leaves. A total of 213 known miRNAs comprising 54 miRNA families were obtained, and 214 novel miRNAs were identified in the mutant leaves. We further constructed a normal green leaf sRNA library as a control and compared the expression of miRNAs between mutant and normal leaves. We found 42 known and 54 novel differential expression candidate miRNAs; 39 were up-regulated and 57 down-regulated in mutants compared to normal leaves. Our transcriptome analysis and annotation of the predicted targets indicated that the potential roles of miRNAs in G. biloba leaves included involvement in the ‘Glutathione metabolism’, ‘Plant circadian rhythm’, and ‘Phenylalanine metabolism’ categories. miRNAs and their targets were further validated by qRT-PCR. The expression of miR159a and miR159c, in particular, was significantly higher in mutant leaves than in normal leaves, while their potential target gene CLT3, which is associated with chloroplast development, displayed the opposite expression pattern. In addition, the expression of miR396g-3p and miR396h was also significantly higher in mutant leaves than in normal leaves, while the target genes ABP1 (auxin-related gene) and PPR32 (chloroplast RNA editing protein), respectively, showed the opposite expression pattern. Combined with the transcriptome analysis, these data suggest that miR159, miR396, and their targets may participate in chloroplast development and hormone metabolism to regulate colour formation in G. biloba leaves.
Compared with traditional course materials used in the classroom, the massive open online course (MOOC) forum that delivers unlimited learning content to students has various advantages. Yet MOOC has also received criticism recently, notably the problem of extremely low participation rates in its discussion forums. This study aims to explore the correlation between forum activity and student course grade in MOOC, and identify more accurately the forum activity levels of participants and the quality of threads in MOOC.
We crawled students’ tests, final exams, exercises, discussions performance data and total scores from a course in Chinese College MOOC from May 2014 to August 2014. And we use the data to analyze the correlation between Forum Participation and Course Performance based on nonparametric tests as well as multiple linear regressions with the software of R. The study provides definitions and algorithms of super degrees based on the supernetwork model to help find high-quality threads and active participants.
A positive correlation between forum activity and course grade is found in this study. Students who participate in the forum have better performance than those who do not. Using the definitions and algorithms of super degrees in the supernetwork, forum activity levels of participants as well as the quality of threads they employ are identified.
Only limited representative forum participants and threads are used to analyze the activity level and significance of the MOOC forum. Also, the study only investigates one Chinese course on information retrieval. More data and more data sources could be helpful in better understanding the MOOC forum phenomenon.
As super degrees can reveal more latent information and recognize high-quality threads as well as active participants, these parameters can be used to assess needs to improve forum settings and alleviate the problem of low forum participation. The proposed super degrees can be applied in social network domains for further research.
Definitions and algorithms of super degrees are provided and used for forum analysis. Super degrees can be applied to find high-quality threads and active participants, which is beneficial to guide students to participate in these high-quality threads and have a better understanding of knowledge MOOC provides.
A new approach based on hybrid Hopfield neural network and self-adaptive genetic algorithm for camera calibration is proposed. First, a Hopfield network based on dynamics is structured according to the normal equation obtained from experiment data. The network has 11 neurons, its weights are elements of the symmetrical matrix of the normal equation and keep invariable, whose input vector is corresponding to the right term of normal equation, and its output signals are corresponding to the fitting coefficients of the camera’s projection matrix. At the same time an innovative genetic algorithm is presented to get the global optimization solution, where the cross-over probability and mutation probability are tuned self-adaptively according to the evolution speed factor in longitudinal direction and the aggregation degree factor in lateral direction, respectively. When the system comes to global equilibrium state, the camera’s projection matrix is estimated from the output vector of the Hopfield network, so the camera calibration is completed. Finally, the precision analysis is carried out, which demonstrates that, as opposed to the existing methods, such as Faugeras’s, the proposed approach has high precision, and provides a new scheme for machine vision system and precision manufacture.
Introduction: The aim of the research was to investigate the antiviral and immunoregulatory effects of saikosaponin A, saikosaponin D, Panax notoginseng saponins, notoginsenoside R1, and anemoside B4 saponins commonly found in Chinese herbal medicines.
Material and Methods: control mice were challenged intramuscularly (im) with 0.2 mL of porcine circovirus 2 (PCV2) solution containing 107 TCID50 of the virus/mL. Mice of high-, middle-, and low-dose saponin groups were initially challenged im with 0.2 mL of PCV2 solution and three days later treated intraperitoneally (ip) with one of five saponins at one of three doses (10, 5, or 1 mg/kg b.w.). In the drug control group, mice were dosed ip with 10 mg/kg b.w. of a given saponin, and mice in a blank control group were administered the same volume of normal saline.
Results: The results revealed that the saponins could reduce the incidence and severity of PCV2-induced immunopathological damage, e.g. body temperature elevation, weight loss, anaemia, and internal organ swelling. In addition, it was seen that the saponins could affect the immunoglobulin levels and protein absorption.
Conclusion: The data suggested that the saponins might effectively regulate immune responses.
The intent of this paper is to investigate the effect of the interturn short circuit fault (ISCF) in rotor on the magnetic flux density (MFD) of turbo-generator. Different from other studies, this work not only pays attention to the influence of the faulty degrees on the general magnetic field, but also investigates the effect of the short circuit positions on the harmonic components of MFD. The theoretical analysis and the digital simulation through the FEM software Ansoft are performed for a QSFN-600-2YHG turbo-generator. Several significant formulas and conclusions drawn from the analysis and the simulation results are obtained to indicate the relation between the harmonic amplitude of the MFD and the faulty degree (via nm, the number of the short circuit turns), and the relation between the MFD harmonic amplitude and the faulty position (via αr, the angle of the two slots in which the interturn short circuit occurs). Also, the developing tendency of the general magnetic field intensity, the distribution of the magnetic flux lines, and the peak-to-peak value of MFD are presented.
Endometrial adenocarcinoma (EAC) is one of the most commonly diagnosed gynaecological malignancies among female population of the developed countries. DUSP6 is a negative regulator of ERK signaling, which is a molecular switch involved in MAPK signaling during the progress of malignancies. DUSP6 was previously found to inhibit tumorigenesis and EMT-associated properties in several cancers, however, its exact role in EAC remains unclear
The level of DUSP6, (E-cad) and (N-cad) in EAC cancerous tissues and respective adjacent non-cancerous tissues were examined by western-blot or immunohistochemistry. The cell growth, invasion and migration abilities were measured in Ishikawa 3H12 endometrial cancer cell lines with overexpressed or knock down DUSP6. Protein levels of EMT-associated markers E-cadherin, N-cadherin and Vimentin were also determined. The impacts of DUSP6 on ERK signaling was assessed by detection of ERK and p-ERK.
Down-regulation of DUSP6 was observed in EAC compared with the normal controls. The overexpression of DUSP6 significantly attenuated tumor cell growth, invasion, migration abilities and inhibited EMT-associated markers, while knock down of DUSP6 showed opposite trends. Overexpression of DUSP6 also down-regulated p-ERK and the knock down of DUSP6 inversely up-regulated p-ERK level.
DUSP6 inhibited cell growth, invasion and migration abilities in Ishikawa 3H12 cells as well as attenuating EMT-associated properties. This tumor suppressive effect of DUSP6 in EAC is achieved by inhibiting ERK signaling pathway.
Objective To investigate the differences of clinical and biochemical characteristics between patients with liver cirrhosis induced by HBV infection combined with and without mild alcohol intake.
Methods Data of patients with liver cirrhosis who were hospitalized in the First Hospital Affiliated to Xinjiang Medical University were retrospectively analyzed. Patients were divided into three groups: patients with liver cirrhosis induced by HBV infection and combined with mild alcohol intake, patients with HBV-related cirrhosis, and patients with alcohol-related cirrhosis. Biochemical detections including liver function, fasting lipid profiles, lipoprotein, kidney function, glucose, uric acid and regular blood tests were carried out and results were compared among three groups. Data were analyzed through STATA software and co-variant analysis.
Results Total of 2 350 patients with liver cirrhosis were included, 732 patients had cirrhosis induced by HBV infection combined with mild alcohol intake, 1 316 patients had HBV-related liver cirrhosis, 302 patients had alcohol-related cirrhosis. The highest mean level of white cell count, mean corpuscular volume, γ-glutamyltranspeptidase and uric acid were observed in HBV infection combined with mild alcohol intake group. Multivariate regression analysis revealed that HBV infection, excessive alcohol intake, male and age were risk factors for hepatocellular carcinoma (HCC) in patients with liver cirrhosis.
Conclusions HBV infection combined with mild alcoholic-related liver cirrhosis group showed the highest oxidative stress compared with alcoholic liver cirrhosis group, which suggested that mild alcohol intake may increase the incidence of liver cirrhosis in HBV infected patients and may not increase the incidence of HCC.