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The interaction between tumor cells and the tumor microenvironment (TME) significantly influences tumorigenesis, so TME-targeted therapy has attracted widespread attention. We have previously demonstrated that the combination of dipyridamole, bestatin, and dexamethasone (DBD mix, DBDx) is effective against heterogeneous human pancreatic cancer and hepatocellular carcinoma in mouse xenograft models. To further expand the therapeutic potential of this drug combination, herein, we investigated the antitumor efficacy and the underlying mechanism of DBDx and the combination of DBDx and gefitinib in different mouse xenograft models of human non-small-cell lung cancer (NSCLC). Three human cancer cell lines H460, PG, and A431 were used to determine the apoptosis and growth inhibition induced by DBDx, gefitinib, and their combinations. Changes in epidermal growth factor receptor (EGFR) signaling pathway-related proteins were analyzed following treatment using western blotting. In vitro, DBDx strongly inhibited the proliferation of tumor cells, whereas the combined treatment exhibited a significant synergistic effect. Compared with DBDx, the combination treatment further induced apoptosis and downregulated the expression of molecules associated with EGFR signaling pathway. In vivo, compared with DBDx alone, the combination treatment distinctly inhibited tumor growth in mouse xenograft models of human NSCLC. Overall, our results indicate that the combination of DBDx and gefitinib in the treatment of human NSCLC is very promising, which warrants further translational studies.

Previous studies have shown that DBDx, a combination consisting of dipyridamole, bestatin and dexamethasone is highly effective against several cancer xenografts in athymic mice. Here the therapeutic effects of DBDx and its combination with gemcitabine or capcitabine against human pancreatic cancer xenografts and the mechanism were studied. In vivo experiments performed in athymic mice showed that the antitumor efficacy of DBDx was much stronger than that of gemcitabine or capecitabine alone. Notably, the combination of DBDx and gemcitabine or capcitabine further enhanced the efficacy. In the case of DBDx (242 mg/kg) plus gemcitabine (100 mg/kg), tumor weight decreased about 97.7%, and tumor sizes were shrinking during the treatment. In the case of DBDx (242 mg/kg) plus capecitabine (718.7 mg/kg), tumor weight decreased about 94.9%. Moreover, DBDx and its combinations obviously prolonged theoverall survival of mice compared with gemcitabine or capcitabine alone. DBDx-based drug combination therapy showed no obvious systematic toxicity. The gene expression profile analysis showed that the genes changed by DBDx were related to immune system and tumor vasculature. The result of protein array showed that the changed proteins in the serum of treated mice were related to immune and inflammation system. These results show that DBDx-based drug combinations, a new strategy which integrates the use of low-cytotoxic drugs and cytotoxic chemotherapeutics, are highly effective regimens against human pancreatic cancer in athymic mice at well tolerated doses. DBDx-based drug combination therapy might provide new options for the treatment of pancreatic cancer.

KDP (KH2PO4) crystal is a kind of excellent nonlinear optical crystals, which has been widely used in nonlinear optical and Inertial Confinement Fusion (ICF) engineering. KDP crystal with the characteristics of low hardness, high brittleness, easy deliquescence and temperature-sensitive is easy to crack during the crystal growth, taken out from crystallizer, and the process of slicing. Stress concentration caused by the initial internal stress redistribution and the growth defect in KDP crystal is an important reason of KDP crystal cracking during sawing process. The numerical simulation model of the KDP crystal containing spherical cavity defect and sawing with fixed abrasive wire saw is established by finite element method in this paper. The effects of initial internal stress, spherical cavity defect on sawing stress are investigated. The maximum tensile stress near the defect during the sawing process is simulated and analyzed. The results show that sawing stress changes smoothly during sawing process, and the fixed abrasive wire saw slicing belongs to low stress cutting way. The sawing stress at sawing kerf is increased obviously. The crystal defect leads to local stress concentration during sawing process. The coupling effect of sawing stress with initial internal stress and the effect of stress concentration are enhanced when the sawing kerf approaches to the defect.

Since the sensitivity and frequency band of the micro-electro-mechanical system (MEMS) bionic vector hydrophone restrain each other, a single hydrophone can not simultaneously meet the high sensitivity and wide frequency band requirements. Therefore, in this paper, based on a single MEMS bionic vector hydrophone, a $2\times 2$ four-unit array microstructure on a chip has been proposed to realize both high sensitivity and wide frequency band, which consists of four four-beam-cilium structures with different cilium lengths of 10000, 8000, 6000, and 3000 $\mu {\mathrm{ m}}$ , respectively. The array structure sizes are determined by the theoretical and simulation analysis, and then the array structure is fabricated integrally by the MEMS manufacturing technology. Finally, this paper presents the experimental characterization of the packaged array hydrophone in a standing wave tube to validate the theory and the simulation. The test results show that the array hydrophone has high sensitivity and good frequency response, exhibiting the highest sensitivity of −189 dB (without pre-amplifier, 0 dB reference 1 V/uPa) and frequency band of 20–5000 Hz, both bearing witness to a good directivity in the shape of 8. The improvements of the hydrophone performance broaden its application scope.

Multivariate calibrations, including linear and non-linear methods, have been widely used in the spectral quantitative analysis of complex samples. Despite their efficiency and few parameters involved, linear methods are inferior for nonlinear problems. Non-linear methods also have disadvantages such as the requirement of many parameters, time-consuming and easily relapses into local optima though the outstanding performance in nonlinearity. Thus, taking the advantages of both linear and non-linear methods, a novel algorithm called the extreme learning machine (ELM) is introduced. The efficiency and stability of this method are investigated first. Then, the optimal activation function and number of hidden layer nodes are determined by a newly defined parameter, which takes into account both the predictive accuracy and stability of the model. The predictive performance of ELM is compared with principal component regression (PCR), partial least squares (PLS), support vector regression (SVR) and back propagation artificial neural network (BP-ANN) by three near-infrared (NIR) spectral datasets of diesel fuel, a ternary mixture and blood. Results show that the efficiency of ELM is mainly affected by the number of nodes for a certain dataset. Despite some instability, ELM becomes stable close to the optimal parameters. Moreover, ELM has a better or comparable performance compared with its competitors in the spectral quantitative analysis of complex samples.

In this paper, a new algorithm based on telecommunication data for the mapping of regional business potential is introduced. This paper first describes the characteristics of telecommunication data and the data that needs to be integrated and prepared before geographical portrait analysis. Second algorithm design model is given, and the model includes three steps: the first step is to predict user resides the purpose of, the first step to set 7 class portrait geographical features, and then according to the POI data using the Bayesian model and the maximum a posteriori probability estimation method to get a specific geographical area’s portrait of functional characteristics, and to compare the user reside features to get the user reside purposes. The second step is to predict the potential demand of users in the geographical area. The third step is to analyze the potential demand of geographical regions. In this step, the normalized difference between the potential demand of users and the functional characteristics of geographical regions is analyzed to obtain the potential demand portrait of geographical regions. Based on the data extracted from the real environment, this paper analyzes the results, and gives the predicted value of the user’s residence purpose, the potential demand value of the user and the potential demand index of the geographical area. This paper verifies the feasibility of the method, by which the feature description and the commercial potential of geographical region portrait can be predicted.

Oriental liver fluke disease (clonorchiasis), caused by Clonorchis sinensis, is endemic in 81 counties in Guangdong province, China. This study was conducted following increasing lack of clonorchiasis awareness and increased consumption of raw freshwater fish and raw fish porridge at home and restaurants, which has been attributed to improved living standards in China, and is considered to have led to a higher C. sinensis infection rate in the country. A total of 61,517 individuals were investigated from 123 sites during a provincial survey in 1988, with average C. sinensis infection rate of 1.82% that increased to 4.08% (335/8217) in 1997. Higher infection rate was observed in adult men than women, with heavy infection rate in fishermen and businessmen because they have access and means to get raw fishes for consumption. Thus, clonorchiasis has become a serious public health problem in Guangdong province. Efforts targeting clonorchiasis prevention and control in Guangdong province started in the 1990s. These included carrying out large-scale surveys and chemotherapy in epidemic regions, research on promotion of environmental sanitation and methods for freshwater aquaculture. Establishment and promotion of clonorchiosis demonstration plots for comprehensive control measures, as well as the development of clonorchiasis-prevention community-out-patient clinics were initiated and their effectiveness was evaluated. However, there seem to be no obvious decline in the prevalence of C. sinensis with 4.90% (608/12,401) in 2015, at Guangdong province due to the people's habit of eating raw fishes in endemic areas. This has led to increasing calls to improve environmental sanitation in the aquaculture industry. It is, however, believed that control efforts on clonorchiosis in the province are at an early stage and require strengthening through the cooperation of different departments to work out effective strategies for sustainable field application of control mechanisms.

In this paper, we incorporate human visual speed perception model into a NSS based VQA method for video sequences transmitted via wireless network. The human visual speed perception contains two parts: one is motion information, which is calculated by using the prior probability distribution of the relative motion in each frame of the video; the other one is the perception noise, derived from the background motion. The weighting factors are defined as perceptual information that minus perception noise from motion information. We extract both spatial and temporal statistical features in videos (NVS-S and NVS-T), and measure their deviations from pristine statistical features. Consequently, the deviations can be synthesized with perceptual information based weighting coefficients to get the video quality score. The proposed blind VQA model is trained and tested in the LIVE database and EPFL-PoliMI database. The experimental results indicate that our model outperforms other blind VQAs.

One type of atmospheric plasma jet relay driven by a 40-kHz power supply and its representative characteristics have been proposed in this paper. The plasma jet relay succeeds in the same gas stem or inside another guided dielectric tube. The first plasma jet can be capable of dividing into many small plasma jets at the end of metal wires and the filial generations can easily merge together to form longer volume discharges. The experiment indicates that the filamentary discharge starts from the formation of one snake-like discharge passage first and the followed snakes give birth from the previous snake discharge body. Taking into account the advantage of easily production methods and available to extend its discharge volume, the proposed plasma jet relay device can be modulated for many potential applications.

The telecom number service platform is based on the telecom number resource database, the number portability database and telecom operator databases, which is to provide the telecom number of the entire life cycle information for the whole society. In this paper, the platform architecture based on distributed SOA is designed to solve the problems of integration, publishing and sharing of heterogeneous data.

In the fog and haze, the air contains large amounts of H2S, SO2, SO3 and other acids, air conductivity is greatly improved, the relative humidity is also greatly increased, Power transmission lines and electrical equipment in such an environment will increase in the long-running failure ratedecrease the sensitivity of the detection equipment, impact protection device reliability. Weibull distribution is widely used in component failure distribution fitting. It proposes a protection device aging failure rate estimation method based on the least squares method and the iterative method,.Combined with a regional power grid statistics, computing protective equipment failure rate function. Binding characteristics of electrical equipment operation status under haze conditions, optimization methods, get more in line with aging protection equipment failure under conditions of haze characteristics.

The water-ways were complicated and intertwined in the Hongze Lake section of South-to-North Water Transfer Project. A complex natural environment and multitudinous chemical enterprises here result in environmental risk sources in this region.This study, with the Hongze Lake as center, aims to investigate information of pollution sources about 22 plants in the surrounding cities.We construct recognition evaluation index system for watershed risk sources, calculate risk coefficient about the risk sources by R-AHP Comprehensive Evaluation and finally determine the 4 risk levels. The results can help to make identification mark taking the grading alert colors and it is significant for decreasing the probability of major environmental pollution accidents.

Due to the complicated coal mine flooding water quality monitoring data, in order to extract the effective data from vast amounts of data, this article used the fuzzy clustering to analyze the monitoring data processing. This study makes a brief analysis of monitoring data structure, then analyzes the shortcomings of fuzzy C mean clustering algorithm (FCM),which also proposes fuzzy C-means algorithm based on particle swarm optimization (PSO-FCM). Finally samples of the underground water data are used to carry out the instance simulation. The experiment results showed that in dealing with data samples. The algorithm had some advantages and it was worthy of research.

Message mapping is useful for communications which should be easy to understand and reflect the concerns of stakeholders when abrupt trans-boundary environmental pollution occurs in river basin. This paper describes the process undertaken to develop the message maps, and lessons learned thus far. The working group developed a message map for one part of east route of the South-to-North Water Diversion Project (from Yangtze River to Hongze Lake).The message map can help give clear and concise information for stakeholders communication in a crisis where emotions are high, and provides information support for information map visualization in the near future.

As a new type of underwater acoustic sensors,the principle of the MEMS hydrophone is introduced in this paper.MUSIC is a algorithm for estimating the parameter of the signal and it has a high resolution.In order to verify DOA estimation performance of MEMS vector array,experiment has been done.the experiments results showed that the MEMS vector array can achieve DOA estimation and track the underwater moving target.thus,it is concluded the feasibility of the MEMS vector array.

Sepiolite mineral nanofibers are typical porous materials widely existing in nature and have many nanometer level micropore and mesopore, which could play an active role in many fields such as thermal insulation functional additive for composite materials. Based on the above reason, this paper briefly summarized the research progress of microstructure of sepiolite mineral nanofibers, and research orientations related to microstructure of sepiolite mineral nanofibers were also proposed.

Energy-efficient and quality of experience (QoE) are extremely important for video services. However, most studies just consider one of them. This paper proposes an adaptive energy-efficient and user's quality of experience optimization method to maximize the overall satisfaction of video services. Video content is encoded by the scalable video coding (SVC), which can provide mobile video services at different quality levels with associated energy consumption. Based on SVC, the power consumption model and video quality model of mobile video services are established. Then a utility function is proposed to measure overall satisfaction, which is defined to weight the energy consumption and the video quality. QoE and energy consumption are jointly optimized by dynamically triggering the layer switching during the video reproduction. The particle swarm optimization (PSO) algorithm is used to obtain the optimal solution. Simulation results show proposed method can achieve significant QoE levels and higher energy efficiency for mobile users.

In our country, as the great threat caused by gas explosion or gas accident to the safety in coal mine production, the development of gas monitoring system is key to preventing accidents beforehand.. Putted into interferometer, the amplitude and the intensity of the incident ray carrying the information of gas concentration are divided many times by reflection and transmission, which results in many parallel beams in the form of the reflected light and the transmitted light. The concentration of the gas can be obtained by testing the light intensity signal . The experiment results show that an accurate measurement result which is capable for the gas concentration test in underground abominable conditions can be got by this mean. Particularly, based on multiplexing technique of optical fiber sensing, it is easy to build a sensor network. This method has an important significance and a good prospect of application and extension for gas monitoring and safety production in the coal mine.

Elastic tube bundles are universally used in heat transfer enhancement by flow-induced vibration in heat exchangers, and the study of the heat transfer performance is of importance. The structure of conical spiral tube bundle heat exchanger was introduced first, and the structure of pulsation flow generator was also introduced. The frequency of pulsation flow was discussed. Finally, in condition of same shell side diameter, the heat transfer and natural frequency of the conical spiral tube bundle were compared with the planar elastic tube bundle. The results show that the natural frequency of conical spiral tube bundle was smaller, the heat transfer performance of conical spiral tube bundle was better than the planar elastic tube bundle.

In this paper, According to mine gas accident frequent and the shortages of traditional gas monitoring system, puts forward some eigenvalue fabry-perot interference (EFPI) technology, its spectrum domain to study the mechanism of white light interference demodulation . establishing the wavelength fiber methane sensor system, realized the sensing information high resolution, wide measuring range and do not suffer light wave, the spectrum domain influence of disturbance synthesis technology. Experimental results show that have an accurate measurement results, it can be applied in underground bad environment method of measuring gas concentration, the research may realize all fiber optical signal measurement, underground only, no electrical signals, strong anti-jamming capability, suitable for inflammable, explosive and other environmental.

Explosion caused by gas is one of the major coal mine accident, and real-time detection of the coal mine gas is becoming more and more important. In this paper we introduce a method based on near infrared spectrum coal mine gas sensor systems aiming at the errors caused by background-interference in detection on the concentration of methane gas in the past. We choose equal-absorption method in the experiment to eliminate the inaccuracy caused by spectrum of other gas absorbed at the same time. Also, we make use of a absorption cell to eliminate inaccuracy caused by different absorption parameters and interference caused by background. The experiment shows that the effect is very good.

With the continuous development of aquaculture, people need the intelligent farming urgently. In the complex environment like coops, we had gathered up the environmental parameters and analyzed the parameters based on the theory of Rough Set and Experts Systems. We work out the Suitable temperatures, concentration of CO2 and wind velocity for chickens. The next, we had used MPC to build a predictive model of Wind Velocity-Temperature-CO2 to rolling optimized and corrected the model. Through the MPC simulate, we proof of this design to achieve precise control, applying the MPC to environmental control.

UNLABELLED ESSENTIALS: It is unclear whether interleukin-10 (IL-10) could affect clopidogrel metabolism and response. The bioactivation of and response to clopidogrel were determined between mice with or without IL-10. Maximum clopidogrel active metabolite levels were the major driver of platelet response to clopidogrel. IL-10 did not modulate maximum levels of clopidogrel active metabolite and its antiplatelet effects. SUMMARY BACKGROUND Elevated plasma interleukin-10 (IL-10) levels were observed in patients who responded less to clopidogrel (a prodrug that is required for further metabolic bioactivation in the liver). However, no data are currently available suggesting whether there is such an association. OBJECTIVE To systematically explore possible differences in the formation of and response to clopidogrel active metabolite (CAM) in mice with or without IL-10 gene expression. METHODS A single oral dose of clopidogrel (10 mg kg(-1)) was given to IL-10 knockout (KO) mice and wild-type (WT) control mice, respectively, and pharmacokinetic parameters of clopidogrel and CAM were calculated. Moreover, adenosine diphosphate-induced whole-blood platelet aggregation was measured in mice receiving 0, 5, 10, or 20 mg kg(-1) of clopidogrel, respectively. RESULTS Compared with IL-10 KO mice, WT mice had significantly lower area under the plasma concentration-time curve (AUC) of CAM as a result of a shorter mean elimination half-life but had significantly higher AUC of clopidogrel due to slower systemic clearance and smaller volume of distribution. Although AUC of CAM was significantly lower in WT mice than in KO mice, antiplatelet effects of clopidogrel did not differ significantly between the two mouse groups, as their maximum plasma concentrations (Cmax ) of CAM were not significantly different. CONCLUSIONS IL-10 expression level affects AUC rather than Cmax of CAM, but the Cmax of CAM is the major driver of antiplatelet effects of clopidogrel in mice.

This meta-analysis was conducted to assess the association of Megsin 2093C/T, 2180C/T, C25663G gene polymorphism with the risk of IgA nephropathy (IgAN). The association literatures were identified from PubMed, Embase, Cochrane Library and CBM-disc (China Biological Medicine Database) on 1 January 2014, and eligible reports were recruited and synthesized. Seven eligible reports were recruited into this meta-analysis for the association of Megsin 2093C/T, 2180C/T, C25663G gene polymorphism with IgAN risk. In this meta-analysis, the association of Megsin 2093C/T TT genotype with IgAN risk in Asians was found. Interestingly, Megsin C25663G G allele and GG genotype were associated with the risk of IgAN in Asian population. However, Megsin 2180C/T gene polymorphism was not associated with IgAN risk in Asians. In conclusion, Megsin 2093C/T TT genotype, and C25663G G allele and GG genotype were associated with the risk of IgAN in Asian population. However, more studies should be performed in the future to confirm this association.

Indentifying potential pollution sources from the monitoring water quality data is desirable for water quality management. A simple expert system module was developed in this paper to infer the latent pollution sources and explain variation in water quality parameters. It contains three parts. The first part is water quality mining and analyzing component implemented by multivariate statistical techniques such as cluster analysis and factor analysis. The second part is knowledge base constructed by 53 emission standards for water pollutant of particular industries. The last part is the inference mechanism designed through calculating the similarity between a specific pollution factor and these particular industry emission standards. The Songhua River Harbin Region case study demonstrated the goodness of the expert system module. Three main pollution source factors in low pollution area were mainly related to organic pollution and nutrients (some point industry or animal husbandry and agriculture activities), heavy metal pollution (point sources: industries) and toxic pollution (point sources: pharmaceutical industries). The module will help managers make decisions with more strong confidence to improve the water quality.

A model including the cathode, near-cathode region, and arc column was constructed. Specifically, a thermal perturbation layer at the arc fringe was calculated in order to couple sheath/presheath modelling with typical arc column modelling. Comparative investigation of two modes of attachment of a dc (100, 150, 200 A) atmospheric-pressure arc in argon to a thermionic cathode made of pure tungsten was conducted. Computational data revealed that there exists two modes of arc discharge: the spot mode, which has an obvious cathode surface temperature peak in the arc attachment centre; and the diffuse mode, which has a flat cathode surface temperature distribution and a larger arc attachment area. The modelling results of the arc attachment agree with previous experimental observations for the diffuse mode. A further 3D simulation is obviously needed to investigate the non-axisymmetrical features, especially for the spot mode.

In optical absorption spectra of methane gas sensing system, detected signal is very weak when detecting the concentration of methane gas. The main effect of the wavelet transform is to eliminate the background noise contained in the original spectra. In this paper, Absorption spectra denoising in the optical gas sensor system using wavelet packet is proposed based on wavelet transform. We have done a research on the relationship between the methane gas and detection voltage at the same temperature and under different concentrations. Experiments show that using wavelet packet denoising method is very effective.

In view of the flaws of the former chemistry examination method, according to the principle of laser absorption spectrum technology, it proposes that using the wavelength scanning and the current tuning of the diode laser to realize the gas absorption curve second-harmonic examination. The theoretical analysis and the result of experiment indicate that: the signal which is detected by the second-harmonic relates with not only gas absorption characteristic, but also wavelength scanning parameter and current modulation parameter. Along with the amplitude of modulation signal increasing, the amplitude of second-harmonic signal also increases, and the waveform even more tends to be regular and stable. The experiment shows that it has improved the performance of signal examination, enhanced the measuring accuracy and the examination sensitivity, and enabled the stability of the second-harmonic curve to be the best.

It uses the tunable diode laser absorption spectrum method in the coal mine gas detection which is not only the high precision and the strong selectivity but also the quickly response. The results of experiment indicate that the second-harmonic signal of methane with different density use multiple regression processing and fitting to obtain the density value. It shows that along with the decrease of the density the correlation coefficient reduces more and more, and the lower limit value of density detected is 0.087 mg/m3. As the high sensitivity of the experiment installation it can realize in coal mine that continuous monitoring online and remote sensing.

In an out-of-band SAN virtualization system, the virtualization appliance maintains metadata, and the agents inside the kernel of servers use that data to supply virtual storage devices and to perform the mapping of I/O address. A design of an out-of-band SAN virtualization system based on Windows NT volume manager driver, and its underlining technologies were presented in this paper. It shows that, in general our system is able to supply large volume and high bandwidth virtual storage devices for applications, and it can be used as a basic environment to manage the SAN centrally. The system performance was investigated in comparison with a plain SAN under FAT32 and NTFS, using different data block sizes and access patterns. The results reveal that the overhead induced by our approach is much low. Under FAT32, the performance characteristics of the 3-striped virtual volume follow a typical strip distribution strategy and the bandwidth is 1.20 3.71 times greater than general volume. Furthermore, under NTFS, the bandwidth of the 3-striped virtual volume is an average of 4.10 (max 4.82) times greater than general volume with the random read access test. Hence it can be concluded that our virtualization approach could make use of the storage resources in SAN more effectively.