A Novel Multi-Path Routing Algorithm Based on Clustering for Wireless Mesh Networks

( Chun-xiao Liu ),( Yan Zhang ),( E Xu ),( Yu-qiang Yang ),( Xu-hui Zhao ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.4

As one of the new self-organizing and self-configuration broadband networks, wireless mesh networks are being increasingly attractive. In order to solve the load balancing problem in wireless mesh networks, this paper proposes a novel multi-path routing algorithm based on clustering (Cluster_MMesh) for wireless mesh networks. In the clustering stage, on the basis of the maximum connectivity clustering algorithm and k-hop clustering algorithm, according to the idea of maximum connectivity, a new concept of node connectivity degree is proposed in this paper, which can make the selection of cluster head more simple and reasonable. While clustering, the node which has less expected load in the candidate border gateway node set will be selected as the border gateway node. In the multi-path routing establishment stage, we use the intra-clustering multi-path routing algorithm and inter-clustering multi-path routing algorithm to establish multi-path routing from the source node to the destination node. At last, in the traffic allocation stage, we will use the virtual disjoint multi-path model (Vdmp) to allocate the network traffic. Simulation results show that the Cluster_MMesh routing algorithm can help increase the packet delivery rate, reduce the average end to end delay, and improve the network performance.

Using Thermal Analysis to Investigate Physical Protection from Soil Aggregates under the Long-Term Fertilization Practices

Xiao Fen Liu,Chun Zeng Liu,Tu Sheng Ren 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Crystal structure of citric acid-acetonitrile (1/1), C₈H₁₁NO₇

Liu, Yang,Zheng, Xiao-Yuan,Qin, Liu-Lei,Zhu, Chun-Li,Liu, Zunqi De Gruyter 2019 Zeitschrift für Kristallographie. New crystal Vol.234 No.2

<P><B>Abstract</B></P><P>C<SUB>8</SUB>H<SUB>11</SUB>NO<SUB>7</SUB>, triclinic,<I>P</I>1̄ (no. 2),<I>a</I>= 5.5944(13) Å,<I>b</I>= 10.402(3) Å,<I>c</I>= 10.666(3) Å,<I>α</I>= 110.297(2)<SUP><I>o</I></SUP>,<I>β</I>= 101.342(3)<SUP><I>o</I></SUP>,<I>γ</I>= 104.701(2)<SUP><I>o</I></SUP>,<I>V</I>= 534.6(2) Å<SUP>3</SUP>,<I>Z</I>= 2,<I>R</I><SUB>gt</SUB>(<I>F</I>) = 0.0318,<I>wR</I><SUB>ref</SUB>(<I>F</I><SUP>2</SUP>) = 0.0833,<I>T</I>= 293(2) K.</P>

Optical Properties of K9 Glass Waveguides Fabricated by Using Carbon-Ion Implantation

Chun-Xiao Liu,Wei Wei,Li-Li Fu,Xu-Feng Zhu,Hai-Tao Guo,Wei-Nan Li,She-Bao Lin 한국물리학회 2016 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.69 No.2

K9 glass is a material with promising properties that make it attractive for optical devices. Ion implantation is a powerful technique to form waveguides with controllable depth and refractive index profile. In this work, optical planar waveguide structures were fabricated in K9 glasses by using 6.0-MeV C3+-ion implantation with a fluence of 1.0 × 1015 ions/cm2. The effective refractive indices of the guided modes were measured by using a prism-coupling system. The refractive index change in the ion-irradiated region was simulated by using the intensity calculation method. The modal intensity profile of the waveguide was calculated and measured by using the finite difference beam propagation method and the end-face coupling technique, respectively. The transmission spectra before and after the implantation showed that the main absorption band was not influenced by the low fluence dopants. The optical properties of the carbon-implanted K9 glass waveguides show promise for use as integrated photonic devices.

A Novel Routing Algorithm Based on Load Balancing for Multi-Channel Wireless Mesh Networks

( Chun-xiao Liu ),( Gui-ran Chang ),( Jie Jia ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.4

In this paper, we study a novel routing algorithm based on load balancing for multi-channel wireless mesh networks. In order to increase the network capacity and reduce the interference of transmission streams and the communication delay, on the basis of weighted cumulative expected transmission time (WCETT) routing metric this paper proposes an improved routing metric based on load balancing and channel interference (LBI_WCETT), which considers the channel interference, channel diversity, link load and the latency brought by channel switching. Meanwhile, in order to utilize the multi-channel strategy efficiently in wireless mesh networks, a new channel allocation algorithm is proposed. This channel allocation algorithm utilizes the conflict graph model and considers the initial link load estimation and the potential interference of the link to assign a channel for each link in the wireless mesh network. It also utilizes the channel utilization percentage of the virtual link in its interference range as the channel selection standard. Simulation results show that the LBI_WCETT routing metric can help increase the network capacity effectively, reduce the average end to end delay, and improve the network performance.

Ultra-sensitive graphene based mid-infrared plasmonic bio-chemical sensing using dielectric beads as a medium

Liu, Xiao,Zhang, Duan,Wu, Ye-Cun,Yang, Mei,Wang, Qian,Coileá,in, Cormac Ó,.,Xu, Hongjun,Yang, Chen,Abid, Mohamed,Abid, Mourad,Liu, Huajun,Chun, Byong Sun,Shi, Qingfan,Wu, Han-Chun Elsevier 2017 Carbon Vol.122 No.-

<P>Graphene is moving beyond the realm of simple electronic devices toward areas such as advanced biochemical sensing. The infrared (IR) response of graphene, characterized by collective long-lived charge-carrier oscillations, could be applied in IR-absorption spectroscopy, typically used for bio-chemical analysis. However, direct light absorption by propagating plasmons in graphene is forbidden due to the large momentum mismatch. Proposed methods to overcome this bottleneck come at a cost, the use of noble metal particles on graphene reduces the spectral bandwidth and nano-structuring graphene is expensive. Here, we propose a simple and cheap method to fabricate large scale ultra-sensitive graphene based mid-IR biosensors, by introducing dielectric beads to excite mid-IR range plasmons. Interference from waves scattered by the beads excite surface plasmon polaritons, which propagate several micrometers in graphene and enhance the interaction between the molecules and mid-IR light. This method opens an interesting window for the application of graphene in bio-chemical sensing. (C) 2017 Elsevier Ltd. All rights reserved.</P>

Astragalus polysaccharide: a review of its immunomodulatory effect

Chun-xiao Li,Ying Liu,Yu-zhen Zhang,Jing-chun Li,Jiang Lai 대한약학회 2022 Archives of Pharmacal Research Vol.45 No.6

The Astragalus polysaccharide is an importantbioactive component derived from the dry root of Astragalusmembranaceus . This review aims to provide a comprehensiveoverview of the research progress on the immunomodulatoryeff ect of Astragalus polysaccharide and providevaluable reference information. We review the immunomodulatoryeff ect of Astragalus polysaccharide on central andperipheral immune organs, including bone marrow, thymus,lymph nodes, spleen, and mucosal tissues. Furthermore, theimmunomodulatory eff ect of Astragalus polysaccharide on avariety of immune cells is summarized. Studies have shownthat Astragalus polysaccharide can promote the activities ofmacrophages, natural killer cells, dendritic cells, T lymphocytes,B lymphocytes and microglia and induce the expressionof a variety of cytokines and chemokines. The immunomodulatoryeff ect of Astragalus polysaccharide makesit promising for the treatment of many diseases, includingcancer, infection, type 1 diabetes, asthma, and autoimmunedisease. Among them, the anticancer effect is the mostprominent. In short, Astragalus polysaccharide is a valuableimmunomodulatory medicine, but further high-qualitystudies are warranted to corroborate its clinical effi cacy.

Traditional Chinese medicine for COVID-19 pandemic and emerging challenges: An online cross-sectional survey in China

Chun-Li Lu,Ruo-Xiang Zheng,Xue Xue,Xiao-Wen Zhang,Xue-Han Liu,Xin-Yan Jin,Feng-Lan Pu,Hui-Di Lan,Min Fang,Ling-Yao Kong,Merlin Willcox,Bertrand Graz,Joelle Houriet,Xiao-Yang Hu,Jian-ping Liu 한국한의학연구원 2021 Integrative Medicine Research Vol.10 No.-

Background We aimed to investigate use of infection control behaviours, preventative and therapeutic interventions, and outcomes among respondents to an online survey during the COVID-19 pandemic in China. Methods The survey was designed by an international team, translated and adapted to simplified Chinese, including 132 kinds of traditional Chinese medicine (TCM) preparation recommended by guidelines. It was distributed and collected from February to May 2021, with data analysed by WPS spreadsheet and wjx.cn. Descriptive statistics were used to describe demographics and clinical characteristics, diagnosis, treatments, preventative behaviours and interventions, and their associated outcomes. Results The survey was accessed 503 times with 341 (67.8%) completions covering 23 provinces and four municipalities in China. Most (282/341, 82.7%) respondents reported no symptoms during the pandemic and the majority (290/341, 85.0%) reported having a SARS-CoV-2 PCR test at some point. Forty-five (13.2%) reported having a respiratory infection, among which 19 (42.2%) took one or more categories of modern medicine, e.g. painkillers, antibiotics; 16 (35.6%) used TCM interventions(s); while seven respondents combined TCM with modern medicine. All respondents reported using at least one behavioural or medical approach to prevention, with 22.3% taking TCM and 5.3% taking modern medicines. No respondents reported having a critical condition related to COVID-19. Conclusion We found evidence of widespread use of infection control behaviours, modern medicines and TCM for treatment and prevention of COVID-19 and other respiratory symptoms. Larger scale studies are warranted, including a more representative sample exploring TCM preparations recommended in clinical guidelines. Background We aimed to investigate use of infection control behaviours, preventative and therapeutic interventions, and outcomes among respondents to an online survey during the COVID-19 pandemic in China. Methods The survey was designed by an international team, translated and adapted to simplified Chinese, including 132 kinds of traditional Chinese medicine (TCM) preparation recommended by guidelines. It was distributed and collected from February to May 2021, with data analysed by WPS spreadsheet and wjx.cn. Descriptive statistics were used to describe demographics and clinical characteristics, diagnosis, treatments, preventative behaviours and interventions, and their associated outcomes. Results The survey was accessed 503 times with 341 (67.8%) completions covering 23 provinces and four municipalities in China. Most (282/341, 82.7%) respondents reported no symptoms during the pandemic and the majority (290/341, 85.0%) reported having a SARS-CoV-2 PCR test at some point. Forty-five (13.2%) reported having a respiratory infection, among which 19 (42.2%) took one or more categories of modern medicine, e.g. painkillers, antibiotics; 16 (35.6%) used TCM interventions(s); while seven respondents combined TCM with modern medicine. All respondents reported using at least one behavioural or medical approach to prevention, with 22.3% taking TCM and 5.3% taking modern medicines. No respondents reported having a critical condition related to COVID-19. Conclusion We found evidence of widespread use of infection control behaviours, modern medicines and TCM for treatment and prevention of COVID-19 and other respiratory symptoms. Larger scale studies are warranted, including a more representative sample exploring TCM preparations recommended in clinical guidelines.

Compound HRAS/PIK3CA Mutations in Chinese Patients with Alveolar Rhabdomyosarcomas

Liu, Chun-Xia,Li, Xiao-Ying,Li, Cheng-Fang,Chen, Yun-Zhao,Cui, Xiao-Bin,Hu, Jian-Ming,Li, Feng Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.4

The rhabdomyosarcoma (RMS) is the most common type of soft tissue tumor in children and adolescents; yet only a few screens for oncogenic mutations have been conducted for RMS. To identify novel mutations and potential therapeutic targets, we conducted a high-throughput Sequenom mass spectrometry-based analysis of 238 known mutations in 19 oncogenes in 17 primary formalin-fixed paraffin-embedded RMS tissue samples and two RMS cell lines. Mutations were detected in 31.6% (6 of 19) of the RMS specimens. Specifically, mutations in the NRAS gene were found in 27.3% (3 of 11) of embryonal RMS cases, while mutations in NRAS, HRAS, and PIK3CA genes were identified in 37.5% (3 of 8) of alveolar RMS (ARMS) cases; moreover, PIK3CA mutations were found in 25% (2 of 8) of ARMS specimens. The results demonstrate that tumor profiling in archival tissue samples is a useful tool for identifying diagnostic markers and potential therapeutic targets and suggests that these HRAS/ PIK3CA mutations play a critical role in the genesis of RMS.

Postmenopausal Hormone Therapy is Associated with in Situ Breast Cancer Risk

Ni, Xiao-Jian,Xia, Tian-Song,Zhao, Ying-Chun,Ma, Jing-Jing,Zhao, Jie,Liu, Xiao-An,Ding, Qiang,Zha, Xiao-Ming,Wang, Shui Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.8

Background: The relationship between postmenopausal hormone therapy (HT) and invasive breast cancer has been extensively investigated, but that with breast carcinoma in situ (BCIS) has received relatively little attention. The aim of our present study was to review and summarize the evidence provided by longitudinal studies on the association between postmenopausal HT use and BCIS risk. Methods: A comprehensive literature search for articles published up to May 2012 was performed. Prior to performing a meta-analysis, the studies were evaluated for publication bias and heterogeneity. Relative risk (RR) or odds ratio (OR) values were calculated using 14 reports (8 case-control studies and 6 cohort studies), published between 1986 and 2012. Results: There was evidence of an association between ever postmenopausal estrogen use and BCIS based on a random-effects model (RR = 1.25, 95% confidence interval (CI) = 1.01, 1.55). However, we found no strong evidence of an association between ever postmenopausal estrogen combined with progesterone use and BCIS using a randomeffects model (RR = 1.55, 95% CI = 0.95, 2.51). Furthermore, our analysis showed a strong association between "> 5 years duration" of estrogen or estrogen combined with progesterone use and BCIS. Furthermore, current use of any HT is associated with increased risk of BCIS in cohort studies. Additional well-designed large studies are now required to validate this association in different populations.