ISSN 0253-2778

CN 34-1054/N

2020 Vol. 50, No. 7

Display Method:
Original Paper
Construction of a colorimetric nanosensor for detecting As(III) in water
LI Jian, RUAN Yue, YANG Liang, LIU Bianhua
2020, 50(7): 873-879. doi: 10.3969/j.issn.0253-2778.2020.07.001
Abstract:
For the shortcomings of traditional large-scale instruments in the aspect of real time in SITU detection and operability for detecting pollutant in water. A portable colorimetric nanosensor was constructed for the real time and in situ detection of As(III) in water. The nanosensor consisted of gold ...
Development of an in situ high-pressure catalytic reactor for synchrotron radiation photoionization mass spectrometry
YU Shengsheng, WEN Wu, XU Minggao, YANG Jiuchong, BI Hailin, WANG Xudi, QI Fei, PAN Yang
2020, 50(7): 880-886. doi: 10.3969/j.issn.0253-2778.2020.07.002
Abstract:
An in situ high-pressure catalytic reactor which can be coupled with synchrotron radiation vacuum ultraviolet photoionization mass spectrometry was developed. A tapered micro orifice was designed at the top of the high-pressure reaction tube for the first sampling, along with a quartz nozzle downstr...
Protective effect of Fe3O4 nanoparticles on cadmium chloride-induced toxicity in the small intestine of mice
WANG Xiaoqin, ZHANG Yan, TAN Weihang, NIE Kai, XU Xiaolong
2020, 50(7): 887-893. doi: 10.3969/j.issn.0253-2778.2020.07.003
Abstract:
Synergistic toxicity from multiple environmental pollutants poses greater threat to humans. Here we evaluated combined toxicity of environment pollutants Fe3O4 nanoparticles (nano-Fe3O4) and cadmium chloride (CdCl2) in the small intestine of mice. The results showed that Fe3O4 nanoparticles (...
Green synthesis of silver nanoparticles and their photocatalytic degradation performance of tetrabromobisphenol A
LI Wenjie, YU Shengsong, CHEN Jiejie
2020, 50(7): 894-900. doi: 10.3969/j.issn.0253-2778.2020.07.004
Abstract:
Silver nanoparticles (AgNPs) could enhance the photocatalytic reaction significantly owing to its surface plasmon resonance (SPR) effect. However, AgNPs are usually unstable without the ligands and their preparation process always requires organic chemicals as the reducing agents. In this work, humi...
Using splines on triangular mesh to solve PDE with nonhomogeneous boundary
WANG Zhihua, KANG Hongmei
2020, 50(7): 901-905. doi: 10.3969/j.issn.0253-2778.2020.07.005
Abstract:
The spline spaces S,02(Δ(2)mn) defined on type Ⅱ regular triangulation are directly used to solve the PDE problems with homogeneous boundary.For the PDE problems with nonhomogeneous boundary, the solutions obtained usually do not satisfy the convergence properties if they are still solved in the...
Raman study of surface modified bi-layer graphene under high pressure
DU Jinxiang, NI Kun, TAO Zhuchen, ZHU Yanwu
2020, 50(7): 906-911. doi: 10.3969/j.issn.0253-2778.2020.07.006
Abstract:
Raman spectroscopy is one of the most effective ways to characterize the structure and properties of graphene. The interlayer interactions in bi-layer graphene
Factors influencing the amount of atmospheric black carbon over the southern ocean and the Tropical Western Pacific Ocean
SU Chenyun, YUE Fange, Kang Hui, Yu Xiawei
2020, 50(7): 912-919. doi: 10.3969/j.issn.0253-2778.2020.07.007
Abstract:
Black carbon (BC) has direct and indirect climatic effects and can be transported over long distances. Knowledge of the concentration and distribution of BC aerosol in the globe is of significant climatic importance. During the 34th Chinese Antarctic Research Expedition (CHINARE), the concentrations...
Influence analysis of tuning parameters on the change-point estimation in CUSUM type statistics
TAN Changchun, JIANG Min
2020, 50(7): 920-928. doi: 10.3969/j.issn.0253-2778.2020.07.008
Abstract:
Generally, the range of tuning parameters in CUSUM type change-point estimation statistic is assumed to be (0,1) in theory. But the different values of tuning parameters often lead to the different estimation results in application. Here Monte Carlo method was used to study the influence of tuning p...
Markov chains prediction model of insurance lapse or surrender probability
ZHANG Ying
2020, 50(7): 927-933. doi: 10.3969/j.issn.0253-2778.2020.07.009
Abstract:
The continuous-time time-homogeneous Markov chain was used to construct a prediction model about the probability of insurance lapse or surrender to calculate the probability of being in various states at any time, and a parameter estimation method was given. In reality, the state of the insurance po...
The risk factors and perinatal outcomes of umbilical vessels thrombosis
ZHU Ying, LIU Yanyan
2020, 50(7): 936-939. doi: 10.3969/j.issn.0253-2778.2020.07.010
Abstract:
Objective: The aim of this study is to examine the association between the various risk factors associated with umbilical cord thrombosis, and to evaluate perinatal outcomes. Methods: A retrospective study of umbilical cord thrombi enrolled between 2015~2018 was carried out. Data were analyzed from ...
DEA based production planning considering attainability and management goals with undesirable outputs
ZENG Wenjiang, YANG Feng
2020, 50(7): 940-949. doi: 10.3969/j.issn.0253-2778.2020.07.011
Abstract:
The problem of production planning in a centralized decision-making environment usually involves the participation of all subunits, and each subunit makes its own contribution to the total production. When making a production planning, the central decision-maker needs to determine the inputs and out...
Research on optimization method of convolutional neural network based on visualization
WANG Yue, LI Jing
2020, 50(7): 959-967. doi: 10.3969/j.issn.0253-2778.2020.07.013
Abstract:
With the lifting force computer calculation, the application range of the depth of learning more and more widely. However, the design and tuning of deep learning models is very difficult. For complex models, adjusting only one layer of the network may lead to very different results. Many researchers...
Focused loss-based for imbalanced data scenarios integrated classification methods for CGAN
CUI Wenquan, YU Houying, HOU Xiaotian
2020, 50(7): 968-976. doi: 10.3969/j.issn.0253-2778.2020.07.014
Abstract:
For the case of imbalanced data, an integrated classification method for CGAN-focal-loss was investigated based on conditional generative adversarial networks (CGAN) using gradient boosting trees. The method first reduces the imbalance rate by CGAN, and further improves the classification performanc...
The effect of police trust repair strategies: Empirical test under the situation of sudden police corruption
LI Hui, LI Yixuan, WANG Na
2020, 50(7): 977-984. doi: 10.3969/j.issn.0253-2778.2020.07.015
Abstract:
Under the situation of sudden police corruption, effect difference of different trust repair strategies was systematically analyzed through three experiments. The experimental results showed that: Firstly, the effects of trust repair strategies under different trust violation type have significant d...
Cooperation mode selection and pricing between hotel and OTA considering consumer preference under dual-channel supply chain
WANG Xin, ZHU Yangguang, WU Zun
2020, 50(7): 985-992. doi: 10.3969/j.issn.0253-2778.2020.07.016
Abstract:
In the context of the tourism supply chain, based on the different cooperation mode in the dual channel marketing strategy between the hotel and the online travel agency (OTA): commission mode and merchant mode, the choice of cooperation mode and pricing between hotel and OTA was studied. There is a...
Fuzzy local coordinate concept factorization with graph regularization
ZHANG Yikai, PENG Yong, KONG Wanzeng, WEN Yimin
2020, 50(7): 993-1002. doi: 10.3969/j.issn.0253-2778.2020.07.017
Abstract:
Matrix Factorization is an effective and efficient method to solve clustering problems in machine learning. However, for most traditional which factorization based models in clustering, there are two necessary steps to get the final assignments. First, original data can be decomposed to a basis matr...
The uncertainty of projection of precipitation change in the middle and lower reaches of the Yangtze River under the RCP8.5 scenario
KONG Haimei, LI Gen, SUN Liang
2020, 50(7): 1003-1012. doi: 10.3969/j.issn.0253-2778.2020.07.018
Abstract:
Summer precipitation changes in the middle and lower reaches of the Yangtze River under global were estimated, using the historical simulation of the fifth coupled mode comparison plan (CMIP5) and the experimental data under the high concentration scenario of the typical concentration path (RCP8.5)....
Identification of PBMC-related cells of single cell RNA sequence data
GONG Lejun, ZHOU Shehai, CHENG Yifei, GAO Zhihong, LI Huakang
2020, 50(7): 1013-1018. doi: 10.3969/j.issn.0253-2778.2020.07.019
Abstract:
Cell type identification is one of the main tasks of single cell RNA sequencing. This paper proposes an automatic identification of cell types based on random forest (AICTRF) method to identify cell types in single-cell sequencing data. This method uses the random forest classification model for tra...
A malicious domain name detection method based on CNN
DU Shuying, DU Peng, DING Shifei
2020, 50(7): 1019-1025. doi: 10.3969/j.issn.0253-2778.2020.07.020
Abstract:
In recent years, various cyber attacks based on botnets have been one of the cyber security threats. Various malwares use the Domain Generation Algorithm (DGA) to automatically generate a large number of pseudo-random domain names to connect to commands and control servers. The detection and classif...
Adaptive fractional order particle swarm optimization using swarm activity feedback and mutation operator
SU Shoubao, CHEN Qiuxin, WANG Chishe, LI Zhi
2020, 50(7): 1026-1034. doi: 10.3969/j.issn.0253-2778.2020.07.021
Abstract:
The basic particle swarm optimizer with fractional-order (FOPSO) is easy to fall into premature convergence, because its overall performance depends on the fractional order α. To solve the problem, a new adaptive fractional-order PSO algorithm, SFOPSO is proposed, by cooperating mutation operators i...