South Korea`s Rise in Comparative Perspective

( Xiaobo Hu ),( Michael A. Morris ) 경남대학교 극동문제연구소 2017 ASIAN PERSPECTIVE Vol.41 No.1

An Active Construction Dynamic Schedule Management Model: Using the Fuzzy Earned Value Management and BP Neural Network

Fangfang Yu,Xiaobo Chen,Clark A. Cory,Zhixuan Yang,Yingwen Hu 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.7

Project schedule management is an important aspect of project management. Earned value management (EVM) and its extension methods are widely adopted in project schedule management in various previous studies, however, most of these studies adopted schedule performance indicators based on definiteness condition and historical data, which ignored the impact of uncertainty and dynamics. So the decision risk in schedule management has been increased dramatically. Therefore, this paper proposed an active construction dynamic schedule management model based on fuzzy earned value management (F-EVM) and BP neural network (BP-NN). Firstly, the fuzzy theory was introduced into EVM to evaluate the schedule performance when the project finish schedule cannot be deterministic expression. Then, the main resource planning was functioned as input variables to predict the schedule in advance through BP-NN. Finally, the future action plans was adjusted based on the results to achieve active control of the project schedule. The case results indicated that the introduction of F-EVM effectively reduced influence of subjective estimation on uncertainty in the data measurement process. And the proposed dynamic schedule management model gave a 32.06% better mean absolute percentage error (MAPE) than the existing methods for estimated project duration. Hence, the proposed model provided a more accurate estimation of the project duration and considered the uncertainty and dynamics of the construction project, thereby achieving more effective management of project schedule.

Electronic Structure and Optical Properties of a Mn-Doped InSe/WSe2 van der Walls Heterostructure: First Principles Calculations

Liang Rundong,Zhao Xiuwen,Hu Guichao,Yue Weiwei,Yuan Xiaobo,Ren Junfeng 한국물리학회 2020 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.77 No.7

InSe-based van der Walls heterostructures (vdWHs) have attracted research interests recently because of their particular properties. In this work, the electronic structure and the optical properties of Mn-doped InSe/WSe2 vdWHs are investigated by using first-principles calculations. Mn doping in InSe/WSe2 vdWHs induces an increase in the system's band gap. The optical properties of the vdWHs are also studied, and the absorption intensity of Mn-doped InSe/WSe2 is found to be enhanced in the near-infrared and ultraviolet regions. In addition, built-in electric fields are generated in InSe/WSe2 and Mn-doped InSe/WSe2, which can inhibit recombination of photogenerated electron-hole pairs. This work predicates the feasibility of enhancing the optical properties in InSe/WSe2 vdWHs by introducing dopants, which extends the applications of InSe materials in the field of optoelectronics.

Prevalence of Senecavirus A in pigs from 2014 to 2020: a global systematic review and meta-analysis

Xuhua Ran,Zhenru Hu,Jun Wang,Zhiyuan Yang,Zhongle Li,Xiaobo Wen 대한수의학회 2023 Journal of Veterinary Science Vol.24 No.3

Background: Senecavirus A (SVA), a member of the family Picornaviridae, is newly discovered, which causes vesicular lesions, lameness in swine, and even death in neonatal piglets. SVA has rapidly spread worldwide in recent years, especially in Asia. Objectives: We conducted a global meta-analysis and systematic review to determine the status of SVA infection in pigs. Methods: Through PubMed, VIP Chinese Journals Database, China National Knowledge Infrastructure, and Wanfang Data search data from 2014 to July 26, 2020, a total of 34 articles were included in this analysis based on our inclusion criteria. We estimated the pooled prevalence of SVA in pigs by the random effects model. A risk of bias assessment of the studies and subgroup analysis to explain heterogeneity was undertaken. Results: We estimated the SVA prevalence to be 15.90% (1,564/9,839; 95% confidence interval [CI], 44.75–65.89) globally. The prevalence decreased to 11.06% (945/8,542; 95% CI, 28.25–50.64) after 2016. The highest SVA prevalence with the VP1-based RT-PCR and immunohistochemistry assay was 58.52% (594/1,015; 95% CI, 59.90–83.96) and 85.54% (71/83; 95% CI, 76.68–100.00), respectively. Besides, the SVA prevalence in piglet herds was the highest at 71.69% (119/166; 95% CI, 68.61–98.43) (p < 0.05). Moreover, our analysis confirmed that the subgroups, including country, sampling year, sampling position, detected gene, detection method, season, age, and climate, could be the heterogeneous factors associated with SVA prevalence. Conclusions: The results indicated that SVA widely exists in various countries currently. Therefore, more prevention and control policies should be proposed to enhance the management of pig farms and improve breeding conditions and the environment to reduce the spread of SVA.

Gold nanoparticles reinforce self-healing microgel multilayers

Park, Chan Woo,South, Antoinette B.,Hu, Xiaobo,Verdes, Claudia,Kim, Jong-Duk,Lyon, L. Andrew Springer-Verlag 2011 Colloid and polymer science Vol.289 No.5

Experimental and Numerical Study on Fatigue Behavior of RC Beams Strengthened with U-Shaped Steel Casing

Qingli Lin,Yi-Yan Lu,Ling Hu,Xiaobo Zhao 한국강구조학회 2022 International Journal of Steel Structures Vol.22 No.2

To achieve a rapid and great enhancement in the fl exural performance of reinforced concrete beams, this study proposes a new strengthening method using U-shaped steel casing and focuses on studying the fatigue performance of strengthened beams. In this paper, ten specimens were tested under fatigue loads. Testing results demonstrated that no obvious damage was observed from the strengthened beam after 2 million fatigue cycles compared with the reference beam which failed at 58.97 × 10 4 fatigue cycles, indicating the good joint performance of the U-shaped steel casing and the RC beam. The strengthened beams generally failed by the sudden rupture of the bottom steel plate accompanied by concrete crushing. The mid-span defl ection and material strains all increased rapidly at the beginning, then steadily developed during nearly 80% of the fatigue life, and grew rapidly again after the weld toe cracking until the strengthened beam failed. The fatigue life was signifi cantly extended with the increase of either the height of the steel box or the thickness of the bottom plate, while it was dramatically shortened with the increase in the fatigue load amplitude. To facilitate the use of the outcomes, a simplifi ed formula for predicting the concrete residual strain of strengthened beams was derived. The predicted results matched the experimental ones well. The derived formula is theoretically only applicable to strengthened beams with dimensions same as the specimens in the experimental tests under similar loading conditions. Reasonably good agreements were found between the fi nite element analyses and experimental results. The developed fi nite element model can well simulate the failure mode under static load and the damage evolution under fatigue load. Based on the stress analysis results, the fatigue lives of the strengthened beams were predicted relatively accurately using the Fe-safe software, with the deviations mostly less than 15%.

Morphology and transcriptome differences between the haploid and diploid drones of Apis cerana

Wei-Yu Yan,Hai-Yan Gan,Shu-Yun Li,Jing-Hua Hu,ZilongWang,Xiaobo Wu,Zhi Jiang Zeng 한국응용곤충학회 2016 Journal of Asia-Pacific Entomology Vol.19 No.4

In general, drone honey bees are haploid and develop from unfertilized eggs. However, a diploid drone can arise in an inbred colony. In this study, the morphological characteristics and gene expression profile of the haploid and diploid drones of Apis cerana were analyzed to reveal the differences between them. The ploidy level of the droneswas identified by FlowCytometry (FCM). The characters of the forewings,wetweight of reproductive organs and of newly emerged drones, were investigated. Then, a high throughput transcriptomic analysis was performed using RNA-seq in diploid and haploid drones. The results showed that the wet weight and reproductive organs of diploid droneswere significantly lighter than those of haploid drones. About 201 million high-quality reads were generated from RNA-seq, and 75.99–78.12% of the data weremapped to Apis cerana genome. 360 genes were differentially expressed between diploid and haploid drone, with 152 up-regulated and 208 downregulated in the diploid drones. Functional analysis identified that these genes were significantly enriched in 28 pathways. Comparative transcriptomic analysis detected several differentially expressed genes, which lay a foundation for future studies on molecular mechanisms underlying biology difference in drones in Apis cerana.