Multi-granulation rough set: from crisp to fuzzy case

Xi-Bei Yang,Xiaoning Song,Huili Dou,Jingyu Yang 원광대학교 기초자연과학연구소 2011 ANNALS OF FUZZY MATHEMATICS AND INFORMATICS Vol.1 No.1

Multi–granulation is an improvement of the classical rough set theory since it uses a family of binary relations instead of of a single indiscernibility relation for the constructing of approximation. In this paper, the multi–granulation rough set approach is further generalized into fuzzy environment. A family of fuzzy $T$–similarity relations are used to define the optimistic and pessimistic fuzzy rough sets respectively. The basic properties about these fuzzy rough sets are then discussed. Finally, the relationships among single relation based fuzzy rough set, optimistic and pessimistic multi–granulation fuzzy rough sets are addressed.

Medical Association Service Pattern of Collaborative Stroke Prevention and Treatment Based on Cloud Computing

Hua Gu,Lei Huang,Bei Xi,QiuLi Qin 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.4

At present, the distribution of China’s medical resources is uneven. Every day big hospitals are overwhelmed. The problem that it’s difficult and expensive for ordinary people to see doctors is becoming a major social host issue. And major chronic diseases are threatening human health. In order to optimize medical resource allocation and provide more efficient services for patients with major chronic diseases, this paper takes stroke as the entry point and proposes a new medical service pattern. Namely, taking stroke patients as the center, medical association collaborates to prevent and treat them. Because cloud computing is dynamic and scalable and in order to expand to other major diseases and attract more medical associations to join when the medical service pattern is mature, this paper uses cloud computing to support the pattern. And this paper details the new medical service pattern, the framework and the service of cloud platform of medical association collaborating to prevent and treat stroke. The pattern can consider the prevention, treatment, rehabilitation, and other aspects of stroke. And it can achieve the circular medical service pattern which centered on stroke patients and can provide better service for stroke patients.

miR167c is Induced by High Alkaline Stress and Inhibits Two Auxin Response Factors in Glycine soja

Dekang Lv,Ying Ge,Bei Jia,Xi Bai,Peihua Bao,Hua Cai,Wei Ji,Yanming Zhu 한국식물학회 2012 Journal of Plant Biology Vol.55 No.5

Soil alkalinity is one of the major environmental factors limiting crop productivity worldwide. MicroRNAs (miRNAs) are small (21-25 nucleotides) single-stranded non-coding RNAs that regulate developmental and stress responses in plants by cleaving target mRNAs. However,little is known about the role of miRNAs in the response to alkaline stress. In this study, we identified the miR167c as a high alkaline-responsive miRNAs in wild soybean based on genome microarray and RNA gel blot. The presence of a cisacting abscisic acid (ABA) responsive element (ABRE) in the upstream region and the ABA inducement of primiR167c suggested that miR167c might be regulated by ABA. We also showed that two auxin response factors (ARF),Gs14g03650 and Gs18g05330, were target genes of the alkaline-inducible miR167c and rapidly down-regulated following alkaline treatment. Our results reveal that miR167c regulated the expression pattern of ARFs, which could be vital for both development and stress adaptation.

Optimal type II fuzzy neural network controller for Eight-Rotor MAV

Xiangjian CHEN,Di Li,Xi-Bei Yang,Yuecheng Yu 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.4

This paper focuses on modeling and intelligent control of the new eight-rotor MAV which is used to solvethe problem of low coefficient proportion between lift and gravity for QuadrotorMAV. The dynamic and kinematicalmodeling for the eight-rotor MAV.Neuro-Fuzzy adaptive controller is proposed which is composed of two type-IIfuzzy neural networks (T-IIFNNs) and one PD controller: The PD controller is adopted to control the attitude, oneof the T-IIFNNs is designed to learn the inverse model of eight-rotor MAV on-line, the other one is the copy of theformer one to compensate for model errors and external disturbances, both structure and parameters of T-IIFNNs aretuned on-line at the same time, and then the stability of the eight-rotor MAV closed-loop control system is provedusing Lyapunov stability theory. Meanwhile ,in order to reduce the computation work, the type-reduction andmodel construction process have been improved. For the issue of type reduction, a novel improved EKM algorithmis developed for improving the EKM algorithm. The proposed algorithm provides two improvements on the EKMalgorithm. For the issue of rules redundant, the concept of normalized difference is proposed to describe the changeof adjacent singular value so as to reflect the essential differences between redundant rules and important rules. Then the number of effective singular can be determined according to its critical point, and the type-2 fuzzy modelis constructed with rules located by TLS decomposition. Finally, the validity of the proposed control method hasbeen verified through real-time experiments. The experimental results show that the performance of Neuro-Fuzzyadaptive controller performs very well under sensor noise and external disturbances.

Prognostic Model Built on Blood-based Biomarkers in Patients with Metastatic Colorectal Cancer

He, Wen-Zhuo,Jiang, Chang,Yin, Chen-Xi,Guo, Gui-Fang,Rong, Ru-Ming,Qiu, Hui-Juan,Chen, Xu-Xian,Zhang, Bei,Xia, Liang-Ping Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.17

Background: We had previously showed that the neutrophil lymphocyte ratio (NLR), ${\gamma}$-glutamyl transpeptidase (GGT) and carcinoembryonic antigen (CEA) are prognostic factors for metastatic colorectal cancer (mCRC) patients. In this study we developed a prognostic model based on these three indices. Materials and Methods: A total of 243 patients who were initially diagnosed as mCRC between 2005 and 2010 in the Sun Yat-sen University Cancer Center were studied. The endpoint was overall survival (OS). Results: NLR>3, elevated GGT and elevated CEA were confirmed as independent risk factors which could predict poor prognosis. Patients could be divided into three groups according to the number of risk factors they had. Those with two or three were defined as the high risk group, individuals with one risk factor as the modest risk group and patients without risk factor as the low risk group. The OS values for these three groups were 16.2 months (2.80~68.8), 24.2 months (4.07~79.0), and 37.2 months (12.6~87.8), respectively (p<0.001). Conclusions: We developed a simple but useful model based on NLR, GGT and CEA to provide prognostic information to clinical practice in highly selected mCRC patients. Further prospective and multi-center studies are warranted to test our model.

Inhibition of RIPK1-dependent regulated acinar cell necrosis provides protection against acute pancreatitis via the RIPK1/NF- κB/AQP8 pathway

Gang Wang,Peng-yu Duan,Yuan Ma,Xi-na Li,Feng-zhi Qu,Liang Ji,Xiao-yu Guo,Wang-jun Zhang,Fan Xiao,Le Li,Ji-sheng Hu,Bei Sun 생화학분자생물학회 2019 Experimental and molecular medicine Vol.51 No.-

Currently, preliminary results have confirmed the existence of receptor-interacting protein kinase 3 (RIPK3) and mixed lineage kinase domain-like protein (MLKL)-dependent necroptosis of pancreatic acinar cells during early acute pancreatitis (AP), which might be a potential target for the effective regulation of necroinflammatory injury. However, the exact effect of receptor-interacting protein kinase 1 (RIPK1)-dependent regulated acinar cell necrosis on AP is still uncertain. In our study, we first explored the changes in the degree of local and systemic inflammation in AP rats when the activation of acinar cell RIPK1 was inhibited. The RIPK1 inhibitor Nec-1 was used to treat rats, and the levels of related inflammatory markers, necrosis indicators and apoptotic indicators were measured. Changes in pancreatic nuclear factor κB (NF-κB) and aquaporin 8 (AQP8) expression were noted. Next, the expression of AQP8 in AR42J cells was inhibited, and the degree of cell necrosis and inflammatory damage was found to be significantly reduced. Most importantly, we demonstrated that the RIPK1/NF-ĸB/AQP8 axis might be a potential regulatory pathway mediating RIPK1-dependent regulated acinar cell necrosis in early AP. Finally, we used the NF-κB inhibitor PDTC and Nec-1 to treat rats in different groups and measured the degree of pathological pancreatic injury, the activation of RIPK1, and the expression of NF-κB and AQP8. In summary, we hypothesized that there might be a RIPK1/NF-ĸB/AQP8 pathway controlling RIPK1-dependent regulated necrosis of acinar cells in AP, which might be a promising therapeutic target against AP-related injury.

Recent Progress in Methods of Generating Water Mist for Fire Suppression

( Guang Xuan Liao ),( Xin Huang ),( Bei Hua Cong ),( Jun Qin ),( Jiang Hong Liu ),( Xi Shi Wang ) 한국분무공학회 2006 한국액체미립화학회지 Vol.11 No.4

Recent Progress in Methods of Generating Water Mist for Fire Suppression

( Guang Xuan Liao ),( Xin Huang ),( Bei Hua Cong ),( Jun Qin ),( Jiang Hong Liu ),( Xi Shi Wang ) 한국액체미립화학회 2005 한국액체미립화학회 학술강연회 논문집 Vol.2005 No.-

To prevent the ozonosphere from being destroyed by Halon, it is an urgent task to find out Halon replacement. As one of the replacements water mist have showed broad applications by its advantages: little pollution to environment (not destroying the ozone layer or bring green house effect), extinguishing fire quickly, consuming a small quantity of water and having little damage to the protected objects. The methods of generating water mist strongly influence fire suppression effectiveness, which determine the cone angle, drop size distribution, flux uniformity, and momentum of the generating spray. The traditional water mist nozzle included pressure jet nozzles, impingement nozzles and twin-fluid nozzles. All of them have more or less disadvantages for fire suppression. Therefore, many research institutes and corporations are taking up with innovations in mist generation. This article provided some recent studies in State Key Laboratory of Fire Science (SKLFS) of University of Science and Technology of China. SKLFS have investigated new methods of generating water mist (i.e. effervescent atomization and ultrasonic atomization), and self developed a series of nozzles and developed advanced DPIVS (Digital Particle Image Velocimetry and Sizing) technique. Characteristics of water mist (the distribution of droplet sizes, flux density, spray dynamics and cone angle) produced by these nozzles were measured under different conditions (work pressure, nozzle geometry, etc.) using LDV/APV and DPIVS systems. A series of experiments were performed to study the fire suppression effectiveness in different fire scenario (different kinds of the fuel, fire size and ventilation conditions). The fire extinguishing mechanisms of water mist was also discussed.

Radar Emitter Signals Identification with a Optimal Recurrent Type 2 Wavelet Fuzzy Neural Network

Xiang-jian Chen,Di Li,Xi-Bei Yang,Hongmei Li 한국항공우주학회 2018 International Journal of Aeronautical and Space Sc Vol.19 No.3

One optimal recurrent type 2-wavelet fuzzy neural network (RT2WFNN) is proposed in this paper to deal with the problem of emitter identification caused by some types of noise. The RT2WFNN has both an on-line parameter and structure learning ability. The new adaptive method based on gradient decent with Lyapunov theorem used for parameter learning can improve the learning ability of RT2WFNN; the type 2 FCM and optimal improved EKM algorithm are used to select the cluster centers of the membership functions in the antecedent part of fuzzy rules of the RT2WFNN for shortening the adjustment time. A number of simulations are presented to demonstrate the identification capability of the RT2WFNN algorithm for the radar emitter identification. The simulation and actual experimental results illustrated that the proposed RT2WFNN cannot only have better identification capability, but also is relatively more insensitive to noise and accelerate the computing speed.

Efficacy of Taxane-Based Regimens in a First-line Setting for Recurrent and/or Metastatic Chinese Patients with Esophageal Cancer

Jiang, Chang,Liao, Fang-Xin,Rong, Yu-Ming,Yang, Qiong,Yin, Chen-Xi,He, Wen-Zhuo,Cai, Xiu-Yu,Guo, Gui-Fang,Qiu, Hui-Juan,Chen, Xu-Xian,Zhang, Bei,Xia, Liang-Ping Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.13

Objective: To compare the efficacy of taxane-based regimens in the first line setting retrospectively in Chinese patients with recurrent and/or metastatic esophageal cancer. Methods: We analyzed 102 recurrent and/or metastatic esophageal cancer patients who received taxanes-based regimens in a first-line setting from January 2009 to December 2013. Sixteen (15.7%) patients were administered Nab-PTX based chemotherapy and 86 patients (84.3%) received paclitaxel (PTX) or docetaxel (DTX) based chemotherapy. Patients in the PTX/DTX group could be further divided into TP (71 patients) and TPF (15 patients) groups. Results: The objective response rate (ORR) of all patients was 20.6%, and the disease control rate (DCR) was 67.6%. The median overall survival (OS) was 10.5 months (95% CI 10.1-16.4) and the median progression-free survival (PFS) was 6.04 months (95% CI 5.09-7.91). The DCR was higher in the TPF group than the TP group (93.3% vs. 59.1%; p = 0.015 ). There were no significant differences in ORR, OS, and PFS among Nab-PTX, TPF and TP groups. Conclusions: The three regimens of Nab-PTX based, TP and TPF proved active in a first line setting of Chinese patients with recurrent and/or metastatic esophageal cancer, and should thus be regarded as alternative treatments.