Protective Effects of Scutellaria barbata Against Rat Liver Tumorigenesis

Dai, Zhi-Jun,Wu, Wen-Ying,Kang, Hua-Feng,Ma, Xiao-Bin,Zhang, Shu-Qun,Min, Wei-Li,Lu, Wang-Feng,Lin, Shuai,Wang, Xi-Jing Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.1

Scutellaria barbata D. Don (S. barbata), a traditional Chinese medicine, is used to treat cancers, inflammation, and urinary diseases. This study aimed to determine any protective effects of S. barbata crude extract (CE-SB) against rat liver tumorigenesis induced by diethylnitrosamine (DENA). Liver malfunction indices in serum were measured by biochemical examination. Hematoxylin and eosin staining was performed to examine liver pathology. Contents of malondialdehyde (MDA) and superoxide dismutase (SOD) were measured in liver homogenates to evaluate oxidative stress. The levels of liver malfunction indices in the CE-SB groups, especially in the CE-SB high dose group, were lower than that of the model group (P<0.05). The results from histological examination indicated that the number of liver nodules in the CE-SB groups decreased compared with the model group (P<0.05). Content of MDA determined in liver was significantly decreased, and level of SOD elevated by CE-SB. CE-SB can inhibit experimental liver tumorigenesis and relieve hepatic injury in rats.

Activated carbon supported VN, Mo2N, and W2N as catalysts for acetylene hydrochlorination

Hui Dai,Mingyuan Zhu,Haiyang Zhang,Feng Yu,Chao Wang,Bin Dai 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.50 No.-

The development of green catalysts for the calcium carbide acetylene method synthesis of vinyl chloridemonomer (VCM), is essential material to industrial polyvinyl chloride production. The original catalystHgCl2 easy to volatile during the reaction lead to environmental pollution. Here we present threedifferent transition metal nitride load into activated carbon (AC): VN/AC, Mo2N/AC, and W2N/AC as novelcatalysts. W2N/AC and Mo2N/AC was a relatively stable catalyst to compared with VN/AC. All of themVCM selectivity can maintain 98%. More HCl ratio for Mo2N/AC lead its acetylene conversion reach 80%. The former two catalysts are promising candidates for acetylene hydrochlorination.

Research on Granular Computing Approach in Rough Set

Jin Dai,Feng Hu,Yi Yan 보안공학연구지원센터(IJSIP) 2014 International Journal of Signal Processing, Image Vol.7 No.6

Granulation of information appears in many areas, such as machine learning, evidence theory, and data mining. Granular computing is the core research field in granulation of information. It is an effective tool for complex problem, massive data mining and fuzzy information processing. In the basis of principle of granularity, we aim to study the granular decomposing method in granules space based on rough set. Moreover, the criteria conditions for attribution necessity and attribute reduction are proposed. Finally, the corresponding equivalence is proved to traditional rough set theory. It will lay the foundation for attribute reduction under the granular representation in rough set.

Analysis of the Effects of Shallow Gas on a Shield Tunnel during Leakage: A Case Study from the Sutong River-Crossing GIL Utility Tunnel Project in China

Xiaoqing Feng,Bin Ye,Xiaoyang Zhang,Yang Dai,Feng Xia 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.6

Soil layers including shallow gas threaten underground structures. Considering the special geological conditions of the gas-bearing layers under the Yangtze River for the Sutong River-crossing unity tunnel project, a solid-liquid-gas coupled 3-D numerical model was established to consider two different gas pocket conditions (a single gas pocket and multiple random gas pockets), and the effects of shallow gas on the tunnel segment and the adjacent soils in the long-term process of gas leakage were analyzed and discussed. A brief discussion of the displacement results and a comparison of the stress results determined by simulation and the designed data indicated that as the maximum displacement is on the order of millimeters for both gas pocket conditions and the simulated maximum bending moment is less than the design value for the bending moment, the structure of the tunnel segment has remained in a safe state during the leakage of the gas pocket, and the normal operation of the tunnel segment is basically not affected by the leakage of the gas pocket.

Laser-processing of transparent solid materials for advanced photonic device applications

Feng Zhu,Rui Yang,Lei Wang,Yong-Sen Yu,Qi-Dai Chen,Hong-Bo Sun 한국생산제조학회 2012 한국생산제조시스템학회 학술발표대회 논문집 Vol.2012 No.10

We demonstrate the laser processing for fabrication of advanced photonic devices including fiber gratings and high transmittance biomimetic windows. The fiber gratings, including fiber Bragg gratings (FBGs) and long period fiber gratings (LPFGs), are fabricated in non-sensitized standard telecom single-mode fiber by femtosecond (fs) laser, making them hightemperature (1000 ℃) stable. The FBG written by fs laser combined with phase mask method is used for monitoring the thermal effect in fs laser interaction with silica glass. The peak temperature of the thermal impulse is estimated about 4800 ℃, which decays to around 500 ℃ in the pulse interval for irradiation of 1.1 mJ at repetition rate of 1 kHz. When the pulse energy and repetition rate increase in the fabrication process of FBGs, the fs-laser-induced grating regions extend from the fiber core to the cladding?air boundary due to the laser self-focusing. With the help of selective chemical etching of the laser modified grating regions, a microhole array structured FBG is formed, which is demonstrated in the application of simultaneous sensing for refractive index (RI) and temperature. For the fs laser direct writing of LPFGs, the period is 100 μm, making the total length of the LPFG only 5 mm. The LPFGs can couple the guided mode to high-order cladding modes of second-order diffraction, resulting in a high RI sensitivity of 5265 nm/RI unit in the RI range of 1.433 ∼ 1.443 and a low-temperature sensitivity of ?15.52 pm/℃ from 20 ℃ to 500 ℃. In addition, the high transmittance biomimetic windows are produced by direct laser interference ablation. The interfered laser beams are introduced into the surface of a bare optical substrate, where structured surfaces consisting of a micropillar array are produced by the multiple exposure of the two-beam interference ablation. As an example of the application, zinc sulfide substrates are processed with this technology.

Ten Year Literature on Psychological and Behavioral Interventions Against Cancer: a Terms Analysis

Feng, Rui,Chai, Jing,Wang, De-Bin,Xia, Yi,Cheng, Peng-Lai,Dai, Zhao-Yang Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.10

We here performed a systematic review of PBIC literature using terms analysis in a hope of both identifying potential trends and patterns and exploring methods leveraging traditional literature reviews in this specific area. Articles meeting inclusion criteria were retrieved from PUBMED and translated into dichotomized article records representing presence or non-presence of MeSH terms and a metric consisting of numbers of times of co-occurrence between all pairs of terms identified using a self-designed program. The occurrence of and relations among the terms were calculated and visualized using Excel2007 and UCINET respectively. A total of 1,742 terms were identified from 997 articles retrieved. Put in a descending order, the lines representing the times of term occurrence formed a typical hyperbolic curve; when plotted along the x-axis of whole MESH terms, the lines clustered within four specific regions. Comparison of term occurrence between 2002 and 2011 revealed priority changes in population and subjects (from general groups to priority groups), intervention approaches (from medicine to exercise and psychotherapy), methodology and techniques (from cohort studies to randomized controlled trials) and outcomes (from health and mental health to quality of life, depression etc.). Networks of the terms featured a number of closely linked groups of topics including method and questionnaires, therapy and outcomes, survival management, psychological assessment and intervention, behavioral intervention (individual and community oriented). Terms analysis revealed interesting trends and patterns about PBIC publications and both the analysis methods and findings have implications for future research and literature reviews.

Least Squares based Iterative Parameter Estimation Algorithm for Stochastic Dynamical Systems with ARMA Noise Using the Model Equivalence

Feng Ding,Dandan Meng,Jiyang Dai,Qishen Li,Ahmed Alsaedi,Tasawar Hayat 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.2

By means of the model equivalence theory, this paper proposes a model equivalence based least squares iterative algorithm for estimating the parameters of stochastic dynamical systems with ARMA noise. The proposed algorithm reduces the number of the unknown noise terms in the information vector and can give more accurate parameter estimates compared with the generalized extended least squares algorithm. The validity of the proposed method is evaluated through a numerical example.

VEHICLE-LEVEL ELECTROMAGNETIC COMPATIBILITY PREDICTION BASED ON MULTI-PORT NETWORK THEORY

Feng Gao,Hanzhe Dai,Jiawei Qi,Zilong Wang 한국자동차공학회 2019 International journal of automotive technology Vol.20 No.6

This paper proposes a new methodology based on the multi-port network theory to predict the vehicle-level electromagnetic compatibility performance. The original EMC problem is firstly converted to a network by separating the electrical large structures and electrical small components. The impedance is proposed to describe the coupling process of network to eliminate the influence of port impedance on network. Based on this network model, the relationship between the exciting sources and the sensitive components is set up using the multi-port network theory. Furthermore, some application problems, such as measurement of parameters, are also discussed. After validated by a bench test, this methodology for vehicle level electromagnetic compatibility was further applied to predict and improve the low frequency radiated emission of an electric vehicle. The application results show that it can be used to predict electromagnetic interference and analyze the main exciting source satisfactorily.

Discussing On RFID Tag Conflict Problem

Dai Yin-fei,Li Nian-feng,Zong Ying-yong 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.3

This paper introduces the basic concept, development process, key technology of RFID and related theory. And in view of the key technology of RFID, anti collision algorithm is analyzed. Tag collision algorithm is to solve the reading and writing implement effective communications within the scope of multiple tags at the same time, speaking, reading and writing for communication problems. Under the condition of keep a certain complexity and cost, minimize the search time, improve the efficiency of recognition, is the direction and trend of algorithms. Through the comparison of several kinds of algorithm for collision, clear the necessity of the collision algorithm is improved. The author select dynamic frame ALOHA algorithm, introduces in detail the improved algorithm, and apply it to the system, to improve the recognition efficiency.

Temporal Information Services in Large-Scale Vehicular Networks Through Evolutionary Multi-Objective Optimization

Dai, Penglin,Liu, Kai,Feng, Liang,Zhang, Haijun,Lee, Victor Chung Sing,Son, Sang Hyuk,Wu, Xiao IEEE 2019 IEEE transactions on intelligent transportation sy Vol.20 No.1

<P>Temporal information services are critical in implementing emerging intelligent transportation systems. Nevertheless, it is challenging to realize timely temporal data update and dissemination due to an intermittent wireless connection and a limited communication bandwidth in dynamic vehicular networks. Some previous studies have considered the temporal data dissemination in vehicular networks, but they are limited to the service region, which is inside the coverage of roadside units. To enhance system scalability, it is imperative to exploit the synergic effect of vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communications for providing efficient temporal information services in such an environment. With the above motivations, we propose a novel system architecture to enable efficient data scheduling in hybrid V2I/V2V communications by having the global knowledge of network resources of the system. On this basis, we formulate a temporal data upload and dissemination (<I>TDUD</I>) problem, aiming at optimizing two conflict objectives simultaneously, which are enhancing the data quality and improving the delivery ratio. Furthermore, we propose an evolutionary multi-objective algorithm called <I>MO-TDUD</I>, which consists of a decomposition scheme for handling multiple objectives, a scalable chromosome representation for <I>TDUD</I> solution encoding, and an evolutionary operator designed for <I>TDUD</I> solution reproduction. The proposed <I>MO-TDUD</I> can be adaptive to different requirements on data quality and delivery ratio by selecting the best solution from the derived Pareto solutions. Last but not least, we build the simulation model and implement <I>MO-TDUD</I> for performance evaluation. The comprehensive simulation results demonstrate the superiority of the proposed solution.</P>