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Search Results: 1 - 10 of 6534 matches for " Jiaqiang Xiong "
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Association between RASSF1A Promoter Methylation and Ovarian Cancer: A Meta-Analysis
Hao Shi, Ya Li, Xiaozhong Wang, Cheng Lu, Lilan Yang, Changmei Gu, Jiaqiang Xiong, Yangxin Huang, Shixuan Wang, Meixia Lu
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0076787
Abstract: Background The RAS association domain family protein 1a gene (RASSF1A) is one of the tumor suppressor genes (TSG). Inactivation of RASSF1A is critical to the pathogenesis of cancer. Aberrant TSG methylation was considered an important epigenetic silencing mechanism in the progression of ovarian cancer. A number of studies have discussed association between RASSF1A promoter methylation and ovarian cancer. However, they were mostly based on a small number of samples and showed inconsist results, Therefore, we conducted a meta-analysis to better identify the association. Methods Eligible studies were identified by searching the PubMed, EMBASE, Web of Science, and CNKI databases using a systematic searching strategy. We pooled the odds ratio (ORs) from individual studies using a fixed-effects model. We performed heterogeneity and publication bias analysis simultaneously. Results Thirteen studies, with 763 ovarian cancer patients and 438 controls were included in the meta-analysis. The frequencies of RASSF1A promoter methylation ranged from 30% to 58% (median is 48%) in the cancer group and 0 to 21% (median is 0) in the control group. The frequencies of RASSF1A promoter methylation in the cancer group were significantly higher than those in the control group. The pooled odds ratio was 11.17 (95% CI = 7.51–16.61) in the cancer group versus the corresponding control group under the fixed-effects model. Conclusion The results suggested that RASSF1A promoter methylation had a strong association with ovarian cancer.
Nonsurgical orthodontic treatment for an adult with skeletal open bite, class III malocclusion and posterior crossbite: A case report  [PDF]
Yongming Li, Jiaqiang Liu, Yin Ding
Open Journal of Stomatology (OJST) , 2013, DOI: 10.4236/ojst.2013.33042

Class III malocclusion associated with skeletal anterior open bite pattern in adults can be a challenging orthodontic problem, especially for the nonsurgical treatment. Conventionally, several treatment alternatives are available such as tooth extraction, molar intrusion, and absolute anchorage system or orthognathic surgical correction. Although correction with surgery may be the most effective and stable way, many patients refused surgical treatment plan because of the costs and traumas it may bring. We reported a nonsurgical orthopedic treatment of 22-year-old male with severe skeletal anterior open bite, dental Class III malocclusion, posterior crossbite and a high mandibular plane angle. The patient refused surgery and extraction. So we formulated a treatment plan consisting of using rapid palatal expansion appliance to expand the maxilla, standard edgewise brackets to align the teeth, Class III elastics to correct the canines, premolars, and molars relationship, reverse curve of the nickel-titanium wire combined with anterior vertical elastics to intrude molars and correct open bite. In this case, without suffering of surgery, the posterior crossbite was ideally corrected, and ideal overjet and overbite relationships and functional occlusion were all achieved. The patient obtained satisfactory occlusal as well as functional and stable results.

Thermally Stable Merocyanine Form of Photochromic Spiropyran with Aluminum Ion as a Reversible Photo-driven Sensor in Aqueous Solution
Jiaqiang Ren,He Tian
Sensors , 2007, DOI: 10.3390/s7123166
Abstract: A reversible photo-driven sensor for aluminum ions based on photochromicspiropyran was reported with rapid response time. The detection of aluminum wasperformed via the chelation of aluminum ions with the merocyanine form (MC) ofphotochromic spiropyran. 1H NMR studies confirmed the conversation from the MC forminto the Al3+ -MC form. Addition of aluminum ions to the spiropyran (SP) in a MeCN/H2Omixture results in obvious color changes with a loss in absorbance at 539 nm and anenhancement in absorbance at about 420 nm after irradiation at 365 nm. The metal chelationcomplex (Al3+ -MC) can also be converted into the original SP form by irradiation withvisible light. Aluminum ions can be detected down to 0.5 μM levels in a fast response ofless than 5 seconds with no interference from other ionic species.
Note on the H?lder norm estimate of the function $x\sin(1/x)$
Jiaqiang Mei,Haifeng Xu
Mathematics , 2014,
Abstract: In this paper, we prove the following inequality: for any $x, y>0$, there holds $$\big|x\sin\frac{1}{x} - y\sin\frac{1}{y} \big| \leq \sqrt{2|x - y|}.$$
Anticipated backward stochastic Volterra integral equations
Jiaqiang Wen,Yufeng Shi
Mathematics , 2015,
Abstract: In this paper, we introduce a new type of integral equations called anticipated backward stochastic Volterra integral equations (anticipated BSVIEs). The generators of these BSVIEs involve the future values of the solution (Y,Z). We obtain the existence and uniqueness theorem and a multi-dimensional comparison theorem for the solutions of these equations. In the comparison theorem, the generator functions are allowed to contain the anticipated term of Z, and do not need any monotonicity assumptions on the anticipated term of Y.
A Burning Experiment Study of an Integral Medical Waste Incinerator  [PDF]
Rong Xie, Jidong Lu, Jie Li, Jiaqiang Yin
Energy and Power Engineering (EPE) , 2010, DOI: 10.4236/epe.2010.23026
Abstract: Mass burning of the medical waste is becoming attractive in China because Chinese government has banned landfilling of medical waste. Many advantages can be found in this method, such as reduction in waste volume, destruction of pathogens and transformation of waste into the form of ash. However, the medical waste with high moisture in China is not suitable to be treated in the present direct mass burning incinerators. In this paper, a novel integral incinerator is developed with combining a feeder, a rotary grate, a primary combustion chamber (PCC) and a “coaxial” secondary combustion chamber (SCC) into a unique unit. Its capability is 10 ton/day. As the air excess level in the PCC was only 40% stoichiometric ratio, the PCC acted as a gasifier. The 1.0 excess air ratios in the SCC preserved the purpose of full combustion of flue gas. Temperature and pollutants concentration in the SCC were measured to understand the combustion behavior of volatile organics. Emission concentrations of pollutants before stack were also tested and compared with the China National Incineration Emission Standard.
Supply Chain Decision Analysis Based on Risk-Aversion and Cost Information Asymmetry  [PDF]
Sijia Xiong, Liyang Xiong
Journal of Service Science and Management (JSSM) , 2019, DOI: 10.4236/jssm.2019.123030
Abstract: This paper analyzes the impact of risk aversion and retailer’s cost lied factor on supply chain decision-making in a hybrid channel supply chain system consisting of a risk-averse manufacturer and a retailer. According to the expected utility maximization theory, this paper gets the optimal decision of the manufacturer and retailer. First, it analyzes the impact of risk aversion factor on pricing decisions of supply chain members when the information of the retailer’s cost is public. Next, this paper considers the fact that the retailer has advantages on cost information, analyzes the relations between the retailer’s optimal cost lied factor and each parameter.
Research on Financial Distress Prediction with Adaptive Genetic Fuzzy Neural Networks on Listed Corporations of China  [PDF]
Zhibin XIONG
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2009, DOI: 10.4236/ijcns.2009.25043
Abstract: To design a multi-population adaptive genetic BP algorithm, crossover probability and mutation probability are self-adjusted according to the standard deviation of population fitness in this paper. Then a hybrid model combining Fuzzy Neural Network and multi-population adaptive genetic BP algorithm—Adaptive Genetic Fuzzy Neural Network (AGFNN) is proposed to overcome Neural Network’s drawbacks. Furthermore, the new model has been applied to financial distress prediction and the effectiveness of the proposed model is performed on the data collected from a set of Chinese listed corporations using cross validation approach. A comparative result indicates that the performance of AGFNN model is much better than the ones of other neural network models.
A Dam Break Analysis Using HEC-RAS  [PDF]
Yi Xiong
Journal of Water Resource and Protection (JWARP) , 2011, DOI: 10.4236/jwarp.2011.36047
Abstract: This paper firstly described the dam break in the aspects of theories and models. Break parameters prediction, the understanding of dam break mechanics, peak outflow prediction were shown as the essential for the dam break analysis, and eventually determined the loss of the damages. Secondly, as an application example, Foster Joseph Sayers Dam break was further modeled and analyzed using USACE Hydrologic Engineering Center’s River Analysis System (HEC-RAS) model based on available geometry data. The results show that dam break is a complicated and comprehensive process involving lots of principles. Combination of mechanics and case studies, reflection of predominant mechanisms of headcut erosion, more specific categorization of dam, prudent investigation and inference of dam break process are needed in developing a satisfactory dam break simulation model. Foster Joseph Sayers Dam break due to piping elongates the time period of high water surface level, which increases the duration of risk. However, the dam break does not increase the downstream maximum water surface elevation (Max. W.S. Elev) significantly at previous design Probable Maximum Flood (PMF). Dam break has a greater impact on the downstream location where is closer to the dam in accordance with the comparison of the hydrographs at different downstream locations. Sensitivity analysis demonstrates that the changes of dam break parameters had no much influence on the downstream Max. W.S. Elev.
The Literature Review of Algebra Learning: Focusing on the Contributions to Students’ Difficulties  [PDF]
Xiong Wang
Creative Education (CE) , 2015, DOI: 10.4236/ce.2015.62013
Abstract: This paper reviews the research literature with respect to the contributions to the students’ difficulties in their algebra learning in order to understand the students’ difficulties in algebra learning. To start with, 29 articles selected from the database (ERIC) are categorized into a taxonomy which has been generated from the research literature, which falls into five categories including: algebra content, cognitive gap, teaching issues, learning matters, and transition knowledge. The challenges that students confront with under those categories are unpacked in the review process. In addition, the five categories adopted in this paper could serve as a framework of better understanding students’ difficulties in their algebra learning. Finally, the research gap from the literature review is discussed.
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