Link Prediction Algorithm for Signed Social Networks Based on Local and Global Tightness

( Miao-miao Liu ),( Qing-cui Hu ),( Jing-feng Guo ),( Jing Chen ) 한국정보처리학회 2021 Journal of information processing systems Vol.17 No.2

Given that most of the link prediction algorithms for signed social networks can only complete sign prediction, a novel algorithm is proposed aiming to achieve both link prediction and sign prediction in signed networks. Based on the structural balance theory, the local link tightness and global link tightness are defined respectively by using the structural information of paths with the step size of 2 and 3 between the two nodes. Then the total similarity of the node pair can be obtained by combining them. Its absolute value measures the possibility of the two nodes to establish a link, and its sign is the sign prediction result of the predicted link. The effectiveness and correctness of the proposed algorithm are verified on six typical datasets. Comparison and analysis are also carried out with the classical prediction algorithms in signed networks such as CN-Predict, ICN-Predict, and PSNBS (prediction in signed networks based on balance and similarity) using the evaluation indexes like area under the curve (AUC), Precision, improved AUC′, improved Accuracy′, and so on. Results show that the proposed algorithm achieves good performance in both link prediction and sign prediction, and its accuracy is higher than other algorithms. Moreover, it can achieve a good balance between prediction accuracy and computational complexity.

<i>Loose Plant Architecture1</i> ( <i>LPA1</i> ) determines lamina joint bending by suppressing auxin signalling that interacts with C-22-hydroxylated and 6-deoxo brassinosteroids in rice

Liu, Jing Miao,Park, Soon Ju,Huang, Jin,Lee, Eun Jin,Xuan, Yuan Hu,Je, Byoung Il,Kumar, Vikranth,Priatama, Ryza A.,Raj K, Vimal,Kim, Sung Hoon,Min, Myung Ki,Cho, Jun Hyeon,Kim, Tae Ho,Chandran, Anil K Oxford University Press 2016 Journal of experimental botany Vol.67 No.6

<P>Lamina inclination is a key agronomical character that determines plant architecture and is sensitive to auxin and brassinosteroids (BRs). <I>Loose Plant Architecture1</I> (<I>LPA1</I>) in rice (<I>Oryza sativa</I>) and its Arabidopsis homologues (<I>SGR5/AtIDD15</I>) have been reported to control plant architecture and auxin homeostasis. This study explores the role of <I>LPA1</I> in determining lamina inclination in rice. <I>LPA1</I> acts as a positive regulator to suppress lamina bending. Genetic and biochemical data indicate that <I>LPA1</I> suppresses the auxin signalling that interacts with C-22-hydroxylated and 6-deoxo BRs, which regulates lamina inclination independently of <I>OsBRI1</I>. Mutant <I>lpa1</I> plants are hypersensitive to indole-3-acetic acid (IAA) during the lamina inclination response, which is suppressed by the brassinazole (Brz) inhibitor of C-22 hydroxylase involved in BR synthesis. A strong synergic effect is detected between <I>lpa1</I> and <I>d2</I> (the defective mutant for catalysis of C-23-hydroxylated BRs) during IAA-mediated lamina inclination. No significant interaction between <I>LPA1</I> and <I>OsBRI1</I> was identified. The <I>lpa1</I> mutant is sensitive to C-22-hydroxylated and 6-deoxo BRs in the <I>d61-1</I> (rice <I>BRI1</I> mutant) background. We present evidence verifying that two independent pathways function via either BRs or <I>BRI1</I> to determine IAA-mediated lamina inclination in rice. RNA sequencing analysis and qRT-PCR indicate that <I>LPA1</I> influences the expression of three <I>OsPIN</I> genes (<I>OsPIN1a</I>, <I>OsPIN1c</I> and <I>OsPIN3a</I>), which suggests that auxin flux might be an important factor in <I>LPA1</I>-mediated lamina inclination in rice.</P>

A new power supply strategy for high power rectifying units in electrolytic copper process

Liu He-Miao,Zhao Yu-Lian,Cheng Yan-Ming,Wu Jing,Al Shurafa Mahmoud A. M.,Liu Cheng,Lee Il-Kyoo 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.2

For achieving the minimum energy consumption in electrolytic copper process, this paper proposes a power supply optimization strategy based on the improved BP neural network for high-power electrolytic copper rectifying units to eff ectively improve the utilization rate of electric energy, reduce the production cost, and achieve high effi ciency and energy saving. Aiming to operation scenarios including normal operation of rectifi ers, fault of random one rectifi er, fault of random two rectifi ers and number change of electrolytic tanks, the output current of each rectifi er, transformer gears and control angle of thyristor are obtained under these four scenarios by the proposed power supply strategy. The simulation results indicate that compared with BP neural network and PSO optimizing BP(PSO-BP)neural network, the prediction error of power supply strategy of GA optimizing BP (GA-BP) neural network is the minimum. Consequently, the optimal control of the output current of each rectifi er is obtained by using GA-BP neural network, and the stabilized current precision of total output current can be kept at 0.003–0.005, which verifi es the eff ectivity and feasibility of the proposed power supply optimization strategy, which provides valuable guidance and reference for the future design of high-power power supply system in electrolytic copper or other electrolytic metals.

A Novel Five-Level Flying-Capacitor Dual Buck Inverter

Liu, Miao,Hong, Feng,Wang, Cheng-Hua The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.1

This paper focuses on the development of a Five-Level Flying-Capacitor Dual Buck Inverter (FLFCDBI) based on the main circuit of dual buck inverters. This topology has been described as not having any shoot-through problems, no body-diode reverse recovery problems and the half-cycle work mode found in the traditional Multi-Level Flying-Capacitor Inverter (MLFCI). It has been shown that the flying-capacitor voltages of this inverter can be regulated by the redundant state selection within one pole. The voltage balance of the flying-capacitors can be achieved by charging or discharging in the positive (negative) half cycles by choosing the proper logical algorithms. This system has a simple structure but demonstrates improved performance and reliability. The validity of this inverter is conformed through computer-aided simulation and experimental investigations.

A study of direct moxibustion using mathematical methods.

Liu, Miao,Kauh, Sang Ken,Lim, Sabina Gordon and Breach Science Publishers 2012 Computer methods in biomechanics and biomedical en Vol.15 No.4

<P>Direct moxibustion is an important and widely used treatment method in traditional medical science. The use of a mathematical method to analyse direct moxibustion treatment is necessary and helpful in exploring the new direct moxibustion instruments and their standardisation. Thus, this paper aims to use a mathematical method to study direct moxibustion in skin to demonstrate a direct relationship between direct moxibustion and skin stimuli. In this paper, the transient thermal response of skin layers is analysed to study direct moxibustion using the data got from standardised method to measure the temperature of a burning moxa cone. Numerical simulations based on an appropriate finite element model are developed to predict the heat transfer, thermal damage and thermal stress distribution of barley moxa cones and jujube moxa cones in the skin tissue. The results are verified by the ancient literatures of traditional Chinese medicine and clinical application, and showed that mathematical method can be a good interface between moxa cone and skin tissue providing the numerical value basis for moxibustion.</P>

Continuous Conduction Mode Soft-Switching Boost Converter and its Application in Power Factor Correction

Miao-miao Cheng,Zhiguo Liu,Yueyue Bao,Zhongjie Zhang 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.5

Continuous conduction mode (CCM) boost converters are commonly used in home appliances and various industries because of their simple topology and low input current ripples. However, these converters suffer from several disadvantages, such as hard switching of the active switch and reverse recovery problems of the output diode. These disadvantages increase voltage stresses across the switch and output diode and thus contribute to switching losses and electromagnetic interference. A new topology is presented in this work to improve the switching characteristics of CCM boost converters. Zero-current turn-on and zero-voltage turn-off are achieved for the active switches. The reverse-recovery current is reduced by soft turning-off the output diode. In addition, an input current sensorless control is applied to the proposed topology by pre-calculating the duty cycles of the active switches. Power factor correction is thus achieved with less effort than that required in the traditional method. Simulation and experimental results verify the soft-switching characteristics of the proposed topology and the effectiveness of the proposed input current sensorless control.

A Novel Five-Level Flying-Capacitor Dual Buck Inverter

Miao Liu,Feng Hong,Cheng-Hua Wang 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.1

This paper focuses on the development of a Five-Level Flying-Capacitor Dual Buck Inverter (FLFCDBI) based on the main circuit of dual buck inverters. This topology has been described as not having any shoot-through problems, no body-diode reverse recovery problems and the half-cycle work mode found in the traditional Multi-Level Flying-Capacitor Inverter (MLFCI). It has been shown that the flying-capacitor voltages of this inverter can be regulated by the redundant state selection within one pole. The voltage balance of the flying-capacitors can be achieved by charging or discharging in the positive (negative) half cycles by choosing the proper logical algorithms. This system has a simple structure but demonstrates improved performance and reliability. The validity of this inverter is conformed through computer-aided simulation and experimental investigations.

Population genetics reveals new introgression in the nucleus herd of min pigs

Liu Tianxin,Ji Dongqing,Li Xinyuan,Liu Jiadong,Xu Fei,Miao Zhiying,Chang Yang,Tian Ming,Xu Chunzhu 한국유전학회 2024 Genes & Genomics Vol.46 No.4

Objective Min pigs are a unique genetic resource among local pig breeds in China. They have more excellent characteristics in cold and stress resistance, good meat quality, and a high reproductive rate. However, the genetic structure and driving factors remain unclear in the nucleus herd. In this study, the genetic diversity of Min pigs was studied to reveal the formation mechanism of its unique genetic structure. We hope to protect and develop the genetic resources of Min pigs. Methods We analyzed different types of genes to identify the genetic structure and gene introgression pattern of Min pigs. The nuclear DNA dataset includes information on 21 microsatellite loci and 6 Y-chromosome genes, and the mitochondrial D-loop gene is selected to represent maternal lineages. The above genes are all from the nucleus herd of Min pigs. Results The results of genetic structure identification and analysis of potential exogenous gene introgression patterns indicate that the nucleus herd of Min pigs maintains a high level of genetic diversity (polymorphism information content = 0.713, expected heterozygosity = 0.662, observed heterozygosity = 0.612). Compared with other Asian pig breeds, the formation of Min pig breeds is more special. Gene introgression from European pig breeds to Min pigs has occurred, which is characterized by complete introgression of paternal genes and incomplete introgression of maternal genes. Conclusion Gene introgression caused by cross-breeding is not the main factor leading to the formation of the current genetic structure of Min pigs, but this process has increased the level of genetic diversity in the nucleus herd. Compared with the influence of gene introgression, our research suggest that artificial selection and environmental adaptive evolution make Min pigs form unique genetic characteristics. Objective Min pigs are a unique genetic resource among local pig breeds in China. They have more excellent characteristics in cold and stress resistance, good meat quality, and a high reproductive rate. However, the genetic structure and driving factors remain unclear in the nucleus herd. In this study, the genetic diversity of Min pigs was studied to reveal the formation mechanism of its unique genetic structure. We hope to protect and develop the genetic resources of Min pigs. Methods We analyzed different types of genes to identify the genetic structure and gene introgression pattern of Min pigs. The nuclear DNA dataset includes information on 21 microsatellite loci and 6 Y-chromosome genes, and the mitochondrial D-loop gene is selected to represent maternal lineages. The above genes are all from the nucleus herd of Min pigs. Results The results of genetic structure identification and analysis of potential exogenous gene introgression patterns indicate that the nucleus herd of Min pigs maintains a high level of genetic diversity (polymorphism information content = 0.713, expected heterozygosity = 0.662, observed heterozygosity = 0.612). Compared with other Asian pig breeds, the formation of Min pig breeds is more special. Gene introgression from European pig breeds to Min pigs has occurred, which is characterized by complete introgression of paternal genes and incomplete introgression of maternal genes. Conclusion Gene introgression caused by cross-breeding is not the main factor leading to the formation of the current genetic structure of Min pigs, but this process has increased the level of genetic diversity in the nucleus herd. Compared with the influence of gene introgression, our research suggest that artificial selection and environmental adaptive evolution make Min pigs form unique genetic characteristics.

Normal Estimation for Mass Point Clouds of Irregular Model in the 3D Reconstruction based on Fuzzy Inference

Liu Yan-ju,Jiang Jin-gang,Miao Feng-juan,Tao Bai-rui,Zhang Hong-lie 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.5

This paper presents a fuzzy normal estimate for mass point clouds of irregular models in reconstruction. The irregular model is complex object that some part is smooth and some parts are irregular including sharp features. Therefore, we put kNN and curvature of mass point clouds to fuzzy inference system to divide the kind of point clouds and the output of FIS can determine which part of tooth point clouds belong to. For different kinds point clouds, corresponding algorithm is given. Point clouds in the smooth area are estimated normal by PCA directly and ones in other regions of thin or sharp area are estimated by checker and attach points. This method is simpler than those complex methods used on the whole point clouds directly. The experiment results show that much time is saved and surface reconstruction is very fine than PCA and WLOP.

Transient virus-induced gene silencing of MaBAM9b efficiently suppressed starch degradation during postharvest banana fruit ripening

Liu Mengting,Li Meng,Wang Yudi,Wang Jingyi,Miao Hongxia,Wang Zhuo,Xu Biyu,Li Xinguo,Jin Zhiqiang,Liu Juhua 한국식물생명공학회 2021 Plant biotechnology reports Vol.15 No.4

The genetic basis of metabolic pathways that operate during fruit ripening needs to be understood before the nutritional value of the banana can be improved. The banana is a typical starch conversion fruit, and β-amylase is a key enzyme that may play an important role in starch degradation during the ripening process. Musa acuminata β-amylase 9b (MaBAM9b) is closely related to starch degradation. However, its exact function in starch degradation has not been demonstrated in banana. Stable genetic transformation to identify gene function is a time- and energy-consuming process. Thus, an efficient and rapid method is needed for functional identification. Virus-induced gene silencing (VIGS) is a reverse-genetics method based on RNA-mediated antiviral plant defense that has been used to rapidly identify gene functions in plants. The aim of this study was to optimize a transient VIGS system and functionally elucidate MaBAM9b in postharvest banana fruit. Using 2- to 4-mm-thick fruit slices, vacuum infiltration of suspensions of Agrobacterium strains carrying TRV1 and TRV2-MaBAM9b, 0.5% iodine-potassium-iodide (I2-KI) staining for 150 s, and 1:3 TRV1:TRV2-MaBAM9b cultivation at 30 mmHg for 30 s achieved an optical density (OD) of 0.8 at 600 nm; after being incubated on Murashige and Skoog (MS) media for 5 days (d), starch degradation was efficiently suppressed during postharvest banana fruit ripening, as determined by I2-KI staining, total starch content, β-amylase activity, soluble sugar content, and endogenous MaBAM9b expression. The system described here is particularly useful for studying genes and networks involved in starch conversion in fruits, which alone would not produce a visual phenotype. This system will provide a platform for functional genomics and fruit quality improvement in banana.