Methodology of uncertainty analysis prediction based on multi-well data fusion

Huan Jie Zhang,Kai Wei,Alain P. Tchameni,G. Ben-Kane 한국자원공학회 2018 Geosystem engineering Vol.21 No.3

During drilling activities, geological parameters of a well to be drilled (target well) can be predicted within a limited interval based on multi-well data fusion which aims at ensuring a drilling safety, enhancement of drilling efficiency, reduction of drilling cost as well as acquiring accurate measurements in respect to Oil and Gas protection layers. This work presents a method of uncertainty analysis prediction of pressures using fusion data (formation pressures) from adjacent multi-well. The Eaton method, effective stress theory, and mathematical confidence interval were the various methods used to establish the formation pressure matrix of the target well. The results revealed that due to the complexity and variability of the formations, data interpretation errors of the geological parameters were inevitable. Therefore, the probability density distribution function was established through stratigraphy, probability statistics, and information diffusion. Moreover, the real value of the wells’ formation pressure (target well) was within the distribution interval of multi-well data fusion. Hence, the developed method cannot only effectively reduce the interval of geological parameter of the target well but also enhance the accuracy of parameters prediction.

Risk Factors for Cervical Cancer in Rural Areas of Wuhan China: a Matched Case-control Study

Zhang, Bin,Zhou, Ai-Fen,Zhu, Chang-Cai,Zhang, Ling,Xiang, Bing,Chen, Zhong,Hu, Rong-Hua,Zhang, Ya-Qi,Qiu, Lin,Zhang, Yi-Ming,Xiong, Chao-Du,Du, Yu-Kai,Shi, Yu-Qin Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.12

Cervical cancer is a serious public health problem in developing countries. We investigated possible risk factors for cervical cancer in rural areas of Wuhan China using a matched case-control study with 33 women diagnosed with cervical cancer and 132 healthy women selected from the same area as matched controls. A questionnaire, which included questions about general demography conditions, environmental and genetic factors, the first sexual intercourse, first marriage age, age at first pregnancy, pregnancy first child's age, female personal health history, social psychological factors, dietary habits, smoking and alcohol status and other living habits was presented to all participants. At the same time, HPV infection of every participant was examined in laboratory testing. Results showed HPV infection (P<0.000, OR=23.4) and pregnancy first child's age (P<0.000, OR=13.1) to be risk factors for cervical cancer. Menopause (P=0.003, OR=0.073) was a protective factor against cervical cancer. However, there was no indication of associations of environmental (drinking water, insecticide, disinfectant) genetic (cancer family history), or life-style factors (smoking status, alcohol status, physical training, sleep quality), including dietary habits (intake of fruit and vegetable, meat, fried food, bean products and pickled food) or social psychological factors with cervical cancer. The results suggest that the risk of cervical cancer in Chinese rural women may be associated with HPV infection, menopause and the pregnancy first child's age.

Performance Analysis of Transmit Diversity in Multiuser Data Networks With Fading Correlation

Kai Zhang,Zhisheng Niu 한국통신학회 2008 Journal of communications and networks Vol.10 No.4

This paper studies the performance of multiuser data networks with transmit diversity under correlated fading channels. Previous work shows that correlated fading reduces the link performance of multiple antenna systems, but how correlated fading affects the throughput of multiuser data networks is still unknown since the throughput depends not only on the link performance but also on the multiuser diversity. We derive the throughput of the multiuser data networks with various transmit diversity schemes under correlated fading channels. The impact of correlated fading on the throughput is investigated. Analytical and simulation results show that, although correlated fading is harmful for link performance, it increases the throughput of the multiuser data networks if the transmit scheme is appropriately selected.

Evaluation of the gastroprotective effects of 20 (S)-ginsenoside Rg3 on gastric ulcer models in mice

Kai Zhang,Ying Liu,Cuizhu Wang,Jiannan Li,Lingxin Xiong,Zhenzhou Wang,Jinping Liu,Pingya Li 고려인삼학회 2019 Journal of Ginseng Research Vol.43 No.4

Background: Gastric ulcer (GU) is a common gastrointestinal disease that can be induced by many factors. Finding an effective treatment method that contains fewer side effects is important. 20 (S)-ginsenosideRg3 is a kind of protopanaxadiol and has shown superior antiinflammatory and antioxidanteffects in many studies, especially cancer studies. In this study, we examined the treatment efficacy of 20(S)-ginsenoside Rg3 on GU. Methods: Three kinds of GU models, including an alcohol GU model, a pylorus-ligated GU model, and anacetic acid GU model, were used. Mouse endothelin-1 (ET-1) and nitric oxide (NO) levels in blood andepidermal growth factor (EGF), superoxide dismutase, and NO levels in gastric mucosa were evaluated. Hematoxylin and eosin staining of gastric mucosa and immunohistochemical staining of ET-1, induciblenitric oxide synthase (NOS2), and epidermal growth factor receptors were studied. Ulcer index (UI)scores and UI ratios were also analyzed to demonstrate the GU conditions in different groups. Furthermore,Glide XP from Schrödinger was used for molecular docking to clarify the interactions between 20(S)-ginsenoside Rg3 and EGF and NOS2. Results: 20 (S)-ginsenoside Rg3 significantly decreased the UI scores and UI ratios in all the three GUmodels, and it demonstrated antiulcer effects by decreasing the ET-1 and NOS2 levels and increasing theNO, superoxide dismutase, EGF, and epidermal growth factor receptor levels. In addition, high-dose 20(S)-ginsenoside Rg3 showed satisfactory gastric mucosa protection effects. Conclusion: 20 (S)-ginsenoside Rg3 can inhibit the formation of GU and may be a potential therapeuticagent for GU.

Evaluation of the gastroprotective effects of 20 (S)-ginsenoside Rg3 on gastric ulcer models in mice

Zhang, Kai,Liu, Ying,Wang, Cuizhu,Li, Jiannan,Xiong, Lingxin,Wang, Zhenzhou,Liu, Jinping,Li, Pingya The Korean Society of Ginseng 2019 Journal of Ginseng Research Vol.43 No.4

Background: Gastric ulcer (GU) is a common gastrointestinal disease that can be induced by many factors. Finding an effective treatment method that contains fewer side effects is important. 20 (S)-ginsenoside Rg3 is a kind of protopanaxadiol and has shown superior antiinflammatory and antioxidant effects in many studies, especially cancer studies. In this study, we examined the treatment efficacy of 20 (S)-ginsenoside Rg3 on GU. Methods: Three kinds of GU models, including an alcohol GU model, a pylorus-ligated GU model, and an acetic acid GU model, were used. Mouse endothelin-1 (ET-1) and nitric oxide (NO) levels in blood and epidermal growth factor (EGF), superoxide dismutase, and NO levels in gastric mucosa were evaluated. Hematoxylin and eosin staining of gastric mucosa and immunohistochemical staining of ET-1, inducible nitric oxide synthase (NOS2), and epidermal growth factor receptors were studied. Ulcer index (UI) scores and UI ratios were also analyzed to demonstrate the GU conditions in different groups. Furthermore, Glide XP from $Schr{\ddot{o}}dinger$ was used for molecular docking to clarify the interactions between 20 (S)-ginsenoside Rg3 and EGF and NOS2. Results: 20 (S)-ginsenoside Rg3 significantly decreased the UI scores and UI ratios in all the three GU models, and it demonstrated antiulcer effects by decreasing the ET-1 and NOS2 levels and increasing the NO, superoxide dismutase, EGF, and epidermal growth factor receptor levels. In addition, high-dose 20 (S)-ginsenoside Rg3 showed satisfactory gastric mucosa protection effects. Conclusion: 20 (S)-ginsenoside Rg3 can inhibit the formation of GU and may be a potential therapeutic agent for GU.

Hair Growth Promoting Effects of 650 nm Red Light Stimulation on Human Hair Follicles and Study of Its Mechanisms via RNA Sequencing Transcriptome Analysis

( Kai Yang ),( Yulong Tang ),( Yanyun Ma ),( Qingmei Liu ),( Yan Huang ),( Yuting Zhang ),( Xiangguang Shi ),( Li Zhang ),( Yue Zhang ),( Ji’an Wang ),( Yifei Zhu ),( Wei Liu ),( Yimei Tan ),( Jinran 대한피부과학회 2021 Annals of Dermatology Vol.33 No.6

Background: Androgenetic alopecia (AGA) leads to thinning of scalp hair and affects 60%~70% of the adult population worldwide. Developing more effective treatments and studying its mechanism are of great significance. Previous clinical studies have revealed that hair growth is stimulated by 650-nm red light. Objective: This study aimed to explore the effect and mechanism of 650-nm red light on the treatment of AGA by using ex vivo hair follicle culture. Methods: Human hair follicles were obtained from hair transplant patients with AGA. Hair follicles were cultured in Williams E medium and treated with or without 650-nm red light. Real-time RT-PCR and immunofluorescence staining were used to detect the expression level of genes and proteins in hair follicles, respectively. RNA-sequencing analysis was carried out to reveal the distinct gene signatures upon 650 nm treatment. Results: Low-level 650 nm red light promoted the proliferation of human hair follicles in the experimental cultured-tissue model. Consistently, 650 nm red light significantly delayed the transition of hair cycle from anagen to catagen in vitro. RNA-seq analysis and gene clustering for the differentially expressed genes suggests that leukocyte transendothelial migration, metabolism, adherens junction and other biological process maybe involved in stimulation of hair follicles by 650-nm red light treatment. Conclusion: The effect of 650-nm red light on ex vivo hair follicles and the transcriptome set which implicates the role of red light in promoting hair growth and reversing of miniaturization process of AGA were identified.

An Improved Algorithm of Elliptic Curve Cryptograph

Kai Zhang,Tao Yan 보안공학연구지원센터 2013 International Journal of Security and Its Applicat Vol.7 No.5

Face Recognition based on Improved Robust Sparse Coding Algorithm

Zhang Jun-Kai,Gu Xiao-Ya 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.9

Improved duty cycle modulation direct torque control for dual three‑phase PMSM with voltage vector online optimization

Kai Zhang,Li Quan,Gai Liu 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.2

In this paper, an improved duty cycle modulation direct torque control is proposed for dual three-phase permanent-magnet synchronous machine, which aims to restrain current harmonics and reduce the ripples of torque and flux linkage. First, to restrain the current harmonics, 12 virtual voltage vectors (VVs) are employed as candidate vectors. Then, according to the deviations of torque and flux, the potential voltage vector set can be selected from the 12 virtual VVs. A cost function is employed to determine the optimal VV from the potential vector set. Next, the concept of torque deadbeat is applied to determine the duty cycle of VV and achieve the accurate adjustment of torque and flux linkage. This proposed method effectively reduces the torque and flux ripples and current harmonic. The simple structure of the conventional DTC is retained. The simulation and experimental results verify the effectiveness of the proposed method.

An Improved Extension System for Assessing Risk of Water Inrush in Tunnels in Carbonate Karst Terrain

Kai Zhang,Wenbo Zheng,Cong Xu,Shougen Chen 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.5

This paper presents an improved assessment system to evaluate the risk of water inrush in tunnels in carbonate karst terrain based on extension assessment method. This system considers the karst geological conditions and selects nine main factors as evaluation indices that influence the water inrush in tunnels. The evaluation indices are quantitatively graded into four risk grades based on their values or expert judgement. The same-feature matter-element, classical domains, and sectional domains are constructed based on the nondimensionalization of the risk grades of the evaluation indices. The integrated weights for the evaluation indices are composed of the objective weights computed from measured values and the subjective weights derived from the Fuzzy Analytical Hierarchy Process (FAHP). The water inrush risk level of the evaluation object is recognized by the correlation analysis. The variable characteristic value makes it possible to further distinguish the water inrush risk of different objects having the same risk level. The accuracy of the assessment results of this proposed extension assessment system was verified by applying it in two engineering cases. This extension assessment system provides a practical tool to assess the risk of water inrush in tunnels in carbonate karst terrain.