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Hongwei Lu,Jianxin Du,Cuiping Yu,Xingping Wang,Yanlin Gao,Weizhong Xu,Aiping Liu,Xiaoxiao Lu,Yingxin Chen 한국고분자학회 2020 Macromolecular Research Vol.28 No.6
The development of high dielectric materials with high energy densities is a crucial research domain in the modern microelectronics and power systems. The objective of this work was to develop the highly ordered crystal orientations and large ferroelectric crystalline β/γ-phases in the biaxially oriented poly(vinylidene fluoride) (BOPVDF). Importantly, a high discharged energy density and high dielectric constant was achieved by using a high-electric-induced technique. A suitable poling electric field was applied to the BOPVDF films in order to enhance the breakdown strength. Remarkably, the BOPVDF film poled at the electric field of 113 MV m-1 achieved an unprecedented discharged energy density of 25.4 J cm-3 at an ultra-high electric field of 550 MV m-1, which is by far the highest value ever achieved in flexible polymer-based capacitor films. Comparatively, the unpoled BOPVDF and commercial biaxially oriented polypropylene (BOPP) exhibited only a discharged energy density of 7.9 J cm-3 and 1.2 J cm-3, respectively. This systematic study provides a new design paradigm to exploit PVDF-based dielectric polymers for capacitor applications.
Yang Du,Hongwei Wang 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.5
With the continuous advancement of the data science and engineering, the combination of data analysis with other applications has been a trend. Data mining is in accordance with the established business goals from huge amounts of data to extract the effective potential and can be understood model of advanced treatment process. In this research paper, we conduct discussion on the execution of civil servants and professional ethics based on data analysis. Starting from the concept of data mining, this paper introduces the objects as the functions of data mining and mining process, mining algorithm combined with several kinds of common data mining, decision tree method, association rules method and neural network to its main ideas and improve the related description. We firstly review traditional data classification algorithms such as the Bayes classification algorithm to serve as the foundation. Later, we propose our method by using the modified SVM and deep neural network optimization. Then, we review the principles of civil servants and professional ethics with the combination of the prior discussion. The experimental result illustrates the feasibility and effectiveness of our method. We also discuss the future research plan in the final part.
LI, QIAN,DU, HONGWEI 한국산업정보응용수학회 2000 한국산업정보응용수학회 Vol.4 No.1
In this paper we consider finite element mathods for nonlinear parabolic problems defined in Ω ⊂ R^(d) (d ≤ 4). A new initial approximation is taken. Optimal order error estimates in L_(p) for 2 ≤ p ≤ ∞ are established for arbitrary order finite element. One order superconvergence in W^(1.p) for 2 ≤ q ≤ ∞ are demonstrated as well.
On positive influence dominating sets in social networks
Wang, Feng,Du, Hongwei,Camacho, Erika,Xu, Kuai,Lee, Wonjun,Shi, Yan,Shan, Shan Elsevier 2011 Theoretical computer science Vol.412 No.3
<P><B>Abstract</B></P><P>In this paper, we investigate the positive influence dominating set (PIDS) which has applications in social networks. We prove that PIDS is APX-hard and propose a greedy algorithm with an approximation ratio of H(δ) where H is the harmonic function and δ is the maximum vertex degree of the graph representing a social network.</P>
Bingyi Yang,Liying Xie,Hongwei Zhang,Qin Zhu,Yan Du,Xuezhen Luo,Xiaojun Chen 대한부인종양학회 2018 Journal of Gynecologic Oncology Vol.29 No.3
Objective: Our previous study showed that insulin resistance (IR) was related to endometrial hyperplasia as well as endometrial cancer. But the exact impact of IR on fertility-sparing treatment in endometrial hyperplasic disease is unclear. This study investigated how IR affects fertility-sparing treatment in endometrial atypical hyperplasia (EAH) patients. METHODS: The 151 EAH patients received fertility-sparing treatment were retrospectively investigated. All patients received high-dose progestin combined with hysteroscopy. Therapeutic effects were evaluated by hysteroscopy every 3 months during the treatment. RESULTS: The median age was 33.0 years old (range, 21-54 years old). Sixty-one patients (40.4%) were insulin resistant. Three patients were excluded from the analysis because they chose hysterectomy within 3 months after initiation of progestin treatment. The 141 out of 148 (95.3%) patients achieved complete response (CR). No difference was found in cumulative CR rate between those with or without IR (90.2% vs. 95.6%, p=0.320). IR significantly affected therapeutic duration to achieve CR (8.1±0.5 months with IR vs. 6.1±0.4 months without IR, p=0.004). Overweight (body mass index [BMI]≥25 kg/m²) was associated with higher risk of treatment failure (odds ratio=5.61; 95% confidence interval=1.11-28.35; p=0.040) and longer therapeutic duration to achieve CR (7.6±0.5 months vs. 6.3±0.4 months, p=0.019). EAH patients with both IR and overweight (IR+BMI+) had the longest therapeutic time compared with other patients (8.8±0.6 months vs. 5.6±0.7, 6.3±0.4, and 6.4±0.8 months for IR-BMI+, IR-BMI-, and IR+BMI-, respectively, p=0.006). CONCLUSION: IR and overweight were associated with longer therapeutic duration in EAH patients receiving progestin-based fertility-sparing treatment.
An integrated space–time framework for linkage discovery of big survey data
Xinyue Ye,Xiang Lian,Hongwei Xu,Jiaxin Du,Shuming Bao 대한공간정보학회 2024 Spatial Information Research Vol.32 No.2
In the realm of survey research, establishing connections within large datasets remains a challenge. This study aims to unveil underlying connections within extensive survey data, emphasizing the need for a more integrated approach to decipher intricate relationships among survey elements. Utilizing computational semantics, machine learning, and advanced spatiotemporal models, we developed an all-encompassing database. This novel database is adept at extracting and characterizing features from a multitude of survey studies, spotlighting relationships among metadata elements such as terms, variables, and topics. The derived relationships are systematically stored as connectivity matrices. These matrices not only quantify the degree of interconnectedness among features but also provide insights into their complex interplay. As a result, our system functions akin to a digital geographical data librarian. Beyond merely serving as a storage tool, this system facilitates interdisciplinary research. It equips researchers with the capability to discern connections between survey elements, enabling them to identify the most infuential paths among features based on diverse criteria. Such a tool fosters cross-disciplinary integration and unveils potential ties between seemingly unrelated survey attributes, paving the way for breakthroughs in understanding and application.
Fu Xiaoying,Guo Huimin,Cong Wei,Du Hongwei,Meng Xiang-Cai 경희대학교 융합한의과학연구소 2017 Oriental Pharmacy and Experimental Medicine Vol.17 No.4
Approximately 1200 years ago, the close association between the quality of medicine and the producing area was well known in China. Recent work has shown conclusively that the quality of herbal medicine is influenced by unfavorable conditions, but the exact cause remains unclear and is a difficult problem in research on herb resources. Fresh roots of S. baicalensis were exposed to temperatures of 35 °C ~ 55 °C, and the H2O2 level remained relatively inflexible. The superoxide dismutase (SOD) and catalase (CAT) activities remained stable at 35 °C and 45 °C but decreased on day 1 at 55 °C. The excess ROS due to the high temperatures must be removed by another pathway. Our study reported that the phenylalanine ammonia-lyase (PAL) activities rose. The fresh roots were exposed to 55 °C for 2 days, the baicalin increased by 38.5%, the wogonoside by 24.1%, and the baicalein by 37.0%. This method can substantially improve the quality of Radix Scutellariae.
Xiaoying Fu,Huimin Guo,Wei Cong,Hongwei Du,Xiangcai Meng 경희대학교 융합한의과학연구소 2018 Oriental Pharmacy and Experimental Medicine Vol.18 No.1
Approximately 1200 years ago, the close association between the quality of medicine and the producing area was well known in China. Recent work has shown conclusively that the quality of herbal medicine is influenced by unfavorable conditions, but the exact cause remains unclear and is a difficult problem in research on herb resources. Fresh roots of S. baicalensis were exposed to temperatures of 35 °C ~ 55 °C, and the H2O2 level remained relatively inflexible. The superoxide dismutase (SOD) and catalase (CAT) activities remained stable at 35 °C and 45 °C but decreased on day 1 at 55 °C. The excess ROS due to the high temperatures must be removed by another pathway. Our study reported that the phenylalanine ammonia-lyase (PAL) activities rose. The fresh roots were exposed to 55 °C for 2 days, the baicalin increased by 38.5%, the wogonoside by 24.1%, and the baicalein by 37.0%. This method can substantially improve the quality of Radix Scutellariae.
Wang, Xiudan,Lin, Hong,Cao, Limin,Zheng, Hongwei,Cui, Mengqi,Du, Shuyuan,Sui, Jianxin 한국식품과학회 2016 Food Science and Biotechnology Vol.25 No.5
The interaction between some proteins and immune globulin has been confirmed as an important source of matrix interference with the immunoassay of fishery products, but detailed biochemical properties of these proteins have not been indicated. Two interference-inducing proteins (42 and 36 kD) in flounder were isolated, characterized, and identified. Their influences on the immunoassay of norfloxacin were confirmed by western blotting and enzyme-linked immunosorbent assay. The pI value and pH stability of the two proteins were also investigated. Using LC-MS/MS, the two proteins were identified as fructose-bisphosphate aldolase, and such results were partly verified by the aldolase activity of the 42 and 36 kD isolates. Considering the prevalence of these proteins (as multi-functional aldolase of muscles) in foods, these results would help to further understand the matrix effects in various immunoassays as well as the development of effective techniques to improve the efficiency of immunoassays.