ANALYSIS ON THE AGENT-BASED BERTRAND DUOPOLY GAME MODEL

The duopoly market research has a long history. Due to such reasons as material supply, product pa-tent right and concession of the government, development of many economic industries is similar to the process of duopoly. In game theory, the Bertrand model which considers price to be a strategic variable is closer to reality and provides the market with more references, especially for retail market and electricity market, as the competitive world develops.Firstly, we analyze the classical Bertrand model and the Nash equilibrium in the model.Secondly, multi-agent technology is applied and the Bertrand duopoly game bidding process is con-ducted; meanwhile, in order to help agents find the optimal solutions, genetic algorithm based on multi-agent Bertrand model is chosen as the main algorithm for the research; and we finish with software im-plementation of the algorithm and with example analysis. In the end, oligopoly market bidding is also modelled in MATLAB simulation, which provides us with more accuracies and flexibilities.It is evidently shown in the model that when none of the two companies are able to meet all the de-mands in the market, the bigger the price gap, the more oscillated it is in the process; thus, the pure stra-tegic Nash equilibrium doesn’t exist. However, when one of the two can offer the demands independent-ly, Nash equilibrium appears and is shown as the calculated results in Bertrand-Edgeworth model where the equilibrium reaches the cost price. Further, the reason for no pure strategic Nash Equilibrium is also discussed.The duopoly market research has a long history. Due to such reasons as material supply, product pa-tent right and concession of the government, development of many economic industries is similar to the process of duopoly. In game theory, the Bertrand model which considers price to be a strategic variable is closer to reality and provides the market with more references, especially for retail market and electricity market, as the competitive world develops.Firstly, we analyze the classical Bertrand model and the Nash equilibrium in the model.Secondly, multi-agent technology is applied and the Bertrand duopoly game bidding process is con-ducted; meanwhile, in order to help agents find the optimal solutions, genetic algorithm based on multi-agent Bertrand model is chosen as the main algorithm for the research; and we finish with software im-plementation of the algorithm and with example analysis. In the end, oligopoly market bidding is also modelled in MATLAB simulation, which provides us with more accuracies and flexibilities.It is evidently shown in the model that when none of the two companies are able to meet all the de-mands in the market, the bigger the price gap, the more oscillated it is in the process; thus, the pure stra-tegic Nash equilibrium doesn’t exist. However, when one of the two can offer the demands independent-ly, Nash equilibrium appears and is shown as the calculated results in Bertrand-Edgeworth model where the equilibrium reaches the cost price. Further, the reason for no pure strategic Nash Equilibrium is also discusse

Analysis of Tumbling Motions by Combining Telemetry Data and Radio Signal

The pointing accuracy and stabilization property of the payload of a satellite depends on performance of attitude determination and control system (ADCS). An essential role of the ADCS is to stabilize the spacecraft in early operation stage and in the presence of anomalies. During this stage, the satellite may be subject to tumbling and a high-reliability method is deemed important to recover the satellite from this stage into its normal operation stage. In the paper, the use of magnetometer data and radio signal characteristics is investigated with the goal of determining the satellite tumbling rate confidently. The proposed method is applied to the PHOENIX CubeSat, which is a CubeSat that is developed by National Cheng Kung University, Taiwan as a part of the QB50 project, at its early orbit stage

Combination of Intravesical Bacille Calmette-Guérin and Chemotherapy vs. Bacille Calmette-Guérin Alone in Non-muscle Invasive Bladder Cancer: A Meta-Analysis

Background: About 75% of newly diagnosed bladder cancer cases suffer from non-muscle invasive bladder cancer (NMIBC), which used to recur and progress despite transurethral resection of bladder tumor (TURBT). This meta-analysis was conducted to examine if combined application of intravesical bacille Calmette-Guérin (BCG) with chemotherapy is associated with better prognosis.Methods: Systematic searches of randomized controlled trials (RCTs) concerning NMIBC were performed in PubMed, EMbase, CENTRAL, CNKI, WanFang, VIP, CBM databases, and some specialized websites. Two researchers independently implemented study selection, quality assessment and data extraction. Hazard ratios (HRs) and their 95% confidence intervals (CIs) for treatment effects on recurrence-free survival (RFS), progression-free survival (PFS), overall survival (OS) and disease-specific survival (DSS) were directly extracted, if available, or estimated using relevant data from included studies. Side effects, such as fever, gastrointestinal reaction, cystitis, irritative bladder symptoms and hematuria, were also extracted as outcome measurements, and associated relative risks (RRs) were calculated to assess treatment safety. RevMan 5.3 software was used to perform statistical analyses.Results: Thirteen RCTs containing 1,754 patients with NMIBC were included in this meta-analysis. Compared with BCG alone, the combination therapy significantly improved RFS (HR = 0.53, 95% CI: 0.43–0.66, P < 0.01), OS (HR = 0.66, 95%CI: 0.50–0.86, P = 0.002), and DSS (HR = 0.48, 95%CI: 0.29–0.80, P = 0.005). While PFS showed no obvious difference between combination therapy and BCG alone (HR = 0.65, 95%CI: 0.25–1.68, P = 0.38). The rate of fever (RR = 0.50, 95%CI: 0.27–0.91, P = 0.02), irritative bladder symptoms (RR = 0.69, 95%CI: 0.52–0.90, P = 0.007) and hematuria (RR = 0.50, 95%CI: 0.28–0.89, P = 0.02) were significantly decreased in patients treated with combination therapy compared to those with BCG alone. There were no statistically significant differences between combination therapy and BCG alone in toxicity (RR = 0.69, 95%CI: 0.34–1.40, P = 0.30), gastrointestinal reaction (RR = 2.54, 95%CI: 0.61–10.60, P = 0.20) or cystitis (RR = 0.67, 95%CI: 0.29–1.54, P = 0.34).Conclusions: Combined application of intravesical BCG and chemotherapy appears to be an effective treatment for patients with intermediate- to high-risk NMIBC, but not for those with tumor in situ alone or recurrent bladder cancer

RETRACTED: Correlations of β-catenin, Ki67 and Her-2/neu with gastric cancer

This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy).This article has been retracted at the request of the editor as the authors have plagiarized part of a paper that had already appeared in Acta Universitatis Medicinalis Anhui (2014, volume 49, issue 2, Pg:258–261, the link in CNKI: http://www.cnki.net/KCMS/detail/detail.aspx, the website of the Journal: http://www.aydxb.cn/publist.asp?second_id=2005). One of the conditions of submission of a paper for publication is that authors declare explicitly that their work is original and has not appeared in a publication elsewhere. Re-use of any data should be appropriately cited. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter and apologies are offered to readers of the journal that this was not detected during the submission process

A 1-hydroxy-2,4-diformylnaphthalene-based fluorescent probe and its detection of sulfites/bisulfite

A novel 1-hydroxy-2,4-diformylnaphthalene-based fluorescent probe L was synthesized by a Knoevenagel reaction and exhibited excellent sensitivity and selectivity towards sulfite ions (SO32−) and bisulfite ions (HSO3−). The detection limits of the probe L were 0.24 μM using UV-Vis spectroscopy and 9.93 nM using fluorescence spectroscopy, respectively. Furthermore, the fluorescent probe L could be utilized for detection in real water samples with satisfactory recoveries in the range 99.20%~104.30% in lake water and 100.00%~104.80% in tap water by UV-Vis absorption spectrometry, and in the range 100.50%~108.60% in lake water and 102.70%~103.80% in tap water by fluorescence spectrophotometry

Fine-grained data access control with attribute-hiding policy for cloud-based IoT

The final publication is available at Elsevier via https://doi.org/10.1016/j.comnet.2019.02.008. © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/Ciphertext-policy attribute-based encryption (CP-ABE) is a promising approach to achieve fine-grained access control over the outsourced data in Internet of Things (IoT). However, in the existing CP-ABE schemes, the access policy is either appended to the ciphertext explicitly or only partially hidden against public visibility, which results in privacy leakage of the underlying ciphertext and potential recipients. In this paper, we propose a fine-grained data access control scheme supporting expressive access policy with fully attribute hidden for cloud-based IoT. Specifically, the attribute information is fully hidden in access policy by using randomizable technique, and a fuzzy attribute positioning mechanism based on garbled Bloom filter is developed to help the authorized recipients locate their attributes efficiently and decrypt the ciphertext successfully. Security analysis and performance evaluation demonstrate that the proposed scheme achieves effective policy privacy preservation with low storage and computation overhead. As a result, no valuable attribute information in the access policy will be disclosed to the unauthorized recipients