Publications by authors named "Xiaosheng Gao"

5 Publications

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The analgesic evaluation of gabapentin for arthroscopy: A meta-analysis of randomized controlled trials.

Medicine (Baltimore) 2021 May;100(20):e25740

Department of Orthopedics, Affiliated Yueqing Hospital,Wenzhou Medical University, Wenzhou, Zhejiang Province, P.R. China.

Introduction: The efficacy of gabapentin for pain management of arthroscopy remains controversial. We conduct a systematic review and meta-analysis to explore the influence of gabapentin versus placebo on the postoperative pain intensity of arthroscopy.

Methods: We search PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases through April 2020 for randomized controlled trials assessing the effect of gabapentin versus placebo on pain control of arthroscopy. This meta-analysis is performed using the random-effect model.

Results: Five randomized controlled trials are included in the meta-analysis. Overall, compared with control group for arthroscopy, gabapentin remarkably decreases pain scores at 24 hour (standard mean difference [SMD]=-0.68; 95% confidence interval [CI]=-1.15 to -0.02; P = .21), analgesic consumption (SMD = -18.24; 95% CI=-24.61 to -11.88; P < .00001), nausea and vomiting (OR = 0.42; 95% CI = 0.21 to 0.84; P = .01), but has no obvious influence on pain scores at 6 h (SMD = -1.30; 95% CI = -2.92 to 0.31; P = .11) or dizziness (OR = 1.12; 95% CI = 0.56 to 2.24; P = .75).

Conclusions: Gabapentin is effective for pain control after arthroscopy.
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http://dx.doi.org/10.1097/MD.0000000000025740DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137103PMC
May 2021

Micromechanical Modeling of Fiber-Reinforced Composites with Statistically Equivalent Random Fiber Distribution.

Materials (Basel) 2016 Jul 27;9(8). Epub 2016 Jul 27.

School of Aeronautics, Northwestern Polytechnic University, Xi'an 710072, China.

Modeling the random fiber distribution of a fiber-reinforced composite is of great importance for studying the progressive failure behavior of the material on the micro scale. In this paper, we develop a new algorithm for generating random representative volume elements (RVEs) with statistical equivalent fiber distribution against the actual material microstructure. The realistic statistical data is utilized as inputs of the new method, which is archived through implementation of the probability equations. Extensive statistical analysis is conducted to examine the capability of the proposed method and to compare it with existing methods. It is found that the proposed method presents a good match with experimental results in all aspects including the nearest neighbor distance, nearest neighbor orientation, Ripley's K function, and the radial distribution function. Finite element analysis is presented to predict the effective elastic properties of a carbon/epoxy composite, to validate the generated random representative volume elements, and to provide insights of the effect of fiber distribution on the elastic properties. The present algorithm is shown to be highly accurate and can be used to generate statistically equivalent RVEs for not only fiber-reinforced composites but also other materials such as foam materials and particle-reinforced composites.
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http://dx.doi.org/10.3390/ma9080624DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5509042PMC
July 2016

Growth inhibition effects of ent-11α-hydroxy-15-oxo-kaur-16-en-19-oic-acid on colorectal carcinoma cells and colon carcinoma-bearing mice.

Mol Med Rep 2016 Apr 29;13(4):3525-32. Epub 2016 Feb 29.

Guangdong Key Laboratory for Research and Development of Natural Drugs, Guangdong Medical College, Zhanjiang, Guangdong 524023, P.R. China.

The aim of the present study was to investigate the mechanism underlying the antitumor effects of ent-11α-hydroxy-15-oxo-kaur-16-en-19-oic-acid (5F) in colorectal cancer (CRC). 5F was isolated and used to treat C26 murine colon carcinoma cells, a xenograft tumor mouse model (induced by C26 cells) and a CRC mouse model [induced by 1,2-dimethylhydrazine (DMH)/dextran sodium sulfate (DSS)]. C26 cell growth was inhibited by 5F in a dose- and time-dependent manner in vitro. In addition, 5F induced cell apoptosis and cell cycle arrest in the G2 phase, increased the activity of caspase-3 and caspase-9, but did not affect the activity of cascase‑8, suggesting that 5F induced apoptosis via activation of the mitochondrial signaling pathway rather than the death‑receptor signaling pathway. Furthermore, treatment of C26 cells with 5F resulted in upregulation of cyclin‑dependent kinase inhibitor 1A (p21, Cip1), Bcl‑2‑associated X protein, nuclear factor of κ light polypeptide gene enhancer in B‑cells inhibitor, α and downregulation of B‑cell lymphoma 2, nuclear factor κ‑light‑chain enhancer of activated B cells and survivin. In vivo animal models demonstrated that 5F treatment protected mice from carcinogenesis induced by DMH/DSS and markedly decreased the xenograft tumor weight with minimal side effects. Therefore, 5F may have potential as an anti-CRC therapeutic agent for use in the clinical setting.
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http://dx.doi.org/10.3892/mmr.2016.4950DOI Listing
April 2016

Strong adhesion and friction coupling in hierarchical carbon nanotube arrays for dry adhesive applications.

ACS Appl Mater Interfaces 2012 Apr 20;4(4):1972-80. Epub 2012 Mar 20.

Department of Mechanical Engineering, University of Akron, Akron, Ohio 44325, United States.

The adhesion and friction coupling of hierarchical carbon nanotube arrays was investigated with a hierarchical multiscale modeling approach. At device level, vertically aligned carbon nanotube (VA-CNT) arrays with laterally distributed segments on top were analyzed via finite element methods to determine the macroscopic adhesion and friction force coupling. At the nanoscale, molecular dynamics simulation was performed to explore the origin of the adhesion enhancement due to the existence of the laterally distributed CNTs. The results show interfacial adhesion force is drastically promoted by interfacial friction force when a single lateral CNT is being peeled from an amorphous carbon substrate. By fitting with experiments, we find that under shearing loadings the maximum interfacial adhesion force is increased by a factor of ~5, compared to that under normal loadings. Pre-existing surface asperities of the substrate have proven to be the source of generating large interfacial friction, which in turn results in an enhanced adhesion. The critical peeling angles derived from the continuum and nano- levels are comparable to those of geckos and other synthetic adhesives. Our analysis indicates that the adhesion enhancement factor of the hierarchically structured VA-CNT arrays could be further increased by uniformly orienting the laterally distributed CNTs on top. Most importantly, a significant buckling of the lateral CNT at peeling front is captured on the molecular level, which provides a basis for the fundamental understanding of local deformation, and failure mechanisms of nanofibrillar structures. This work gives an insight into the durability issues that prevent the success of artificial dry adhesives.
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http://dx.doi.org/10.1021/am201796kDOI Listing
April 2012

Friction and adhesion of hierarchical carbon nanotube structures for biomimetic dry adhesives: multiscale modeling.

ACS Appl Mater Interfaces 2010 Sep;2(9):2570-8

Department of Mechanical Engineering, University of Akron, Akron, Ohio 44325, USA.

With unique hierarchical fibrillar structures on their feet, gecko lizards can walk on vertical walls or even ceilings. Recent experiments have shown that strong binding along the shear direction and easy lifting in the normal direction can be achieved by forming unidirectional carbon nanotube array with laterally distributed tips similar to gecko's feet. In this study, a multiscale modeling approach was developed to analyze friction and adhesion behaviors of this hierarchical fibrillar system. Vertically aligned carbon nanotube array with laterally distributed segments at the end was simulated by coarse grained molecular dynamics. The effects of the laterally distributed segments on friction and adhesion strengths were analyzed, and further adopted as cohesive laws used in finite element analysis at device scale. The results show that the laterally distributed segments play an essential role in achieving high force anisotropy between normal and shear directions in the adhesives. Finite element analysis reveals a new friction-enhanced adhesion mechanism of the carbon nanotube array, which also exists in gecko adhesive system. The multiscale modeling provides an approach to bridge the microlevel structures of the carbon nanotube array with its macrolevel adhesive behaviors, and the predictions from this modeling give an insight into the mechanisms of gecko-mimicking dry adhesives.
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http://dx.doi.org/10.1021/am100409sDOI Listing
September 2010
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