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Unrestricted Weight Bearing as a Method for Assessment of Nociceptive Behavior in a Model of Tibiofemoral Osteoarthritis in Rats
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作者 Lise Skott Gregersen Turid Rosland +2 位作者 Lars Arendt-Nielsen Garth Whiteside Michele Hummel 《Journal of Behavioral and Brain Science》 2013年第3期306-314,共9页
Background: Novel preclinical models for prediction of osteoarthritis-like pain are necessary for the elucidation of osteoarthritis (OA) pathology and for assessment of novel analgesics. A widely used behavioral test ... Background: Novel preclinical models for prediction of osteoarthritis-like pain are necessary for the elucidation of osteoarthritis (OA) pathology and for assessment of novel analgesics. A widely used behavioral test in rat models of tibiofemoral OA is hind limb weight bearing (WB). However, this method evaluates WB in an unnaturally restricted manner. The aim of this study was therefore to characterize the Tekscan Pressure Measurement System as a means to assess OA-like tibiofemoral pain in rats by determination of plantar pressure distribution in a more natural and unrestricted position, defined as unrestricted WB. Methods: Intra-articular injections of 1 mg monosodium iodoacetate (MIA) or saline were administrated in the left hind knee of 84 male Sprague Dawley rats. Changes in unrestricted WB between ipsilateral and contralateral hindlimbs were determined. Morphine (5 mg/kg administered subcutaneously) and naproxen (60 mg/kg per-oral) were examined for their ability to reverse WB changes. Results: Changes in hind limb unrestricted WB were observed 14 (P P P Conclusion: This study indicated that unrestricted WB assessed by the Tekscan system can be utilized as a clinically relevant method to assess aberrations in WB induced by intra-articular MIA injections in rodents. Therefore, this system may be useful for understanding the mechanisms of OA pain in humans and may also assist in the discovery of novel pharmacological agents. 展开更多
关键词 OSTEOARTHRITIS PAIN Monosodium Iodoacetate unrestricted Weight Bearing MORPHINE NAPROXEN
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Two Stage Estimation and Its Covariance Matrix in Multivariate Seemingly Unrelated Regression System
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作者 WANG Shi-qing YANG qiao LIU fa-gui 《Chinese Quarterly Journal of Mathematics》 CSCD 北大核心 2006年第3期397-401,共5页
Multivariate seemingly unrelated regression system is raised first and the two stage estimation and its covariance matrix are given. The results of the literatures[1-5] are extended in this paper.
关键词 multivariate seemingly unrelated regression system two stage estimation covariance matrix unrestricted estimator
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Developing stages and causes of desertification in the Mu Us sandland 被引量:6
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作者 Bo Wu Longjun Ci 《Chinese Science Bulletin》 SCIE EI CAS 1999年第9期845-849,共5页
Based on historical aerial photography of three periods and together with field investigation, the status of desertification development after the 1950s in the Mu Us sandland was analyzed, the difference of the desert... Based on historical aerial photography of three periods and together with field investigation, the status of desertification development after the 1950s in the Mu Us sandland was analyzed, the difference of the desertification developing speed at two stages was compared, and its possible causes were explored. The results show that the developing speed of desertification from the late 1970s to the early 1990s is apparently slowed down, compared with that from the late 1950s to the late 1970s and there exists an obvious recovery trend at the second stage. The difference between the two stages accounts for severely over-reclaiming, over-grazing and unrestricted cutting during the first stage, which are the main causes of desertification development in the semi-arid steppe and arid desert steppe areas. 展开更多
关键词 MU Us sandland DESERTIFICATION DEVELOPING STAGE over-reclaiming over-grazing unrestricted cutting.
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Likelihood ratio-type tests in weighted composite quantile regression of DTARCH models 被引量:3
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作者 Xiaoqian Liu Xinyuan Song Yong Zhou 《Science China Mathematics》 SCIE CSCD 2019年第12期2571-2590,共20页
The double-threshold autoregressive conditional heteroscedastic(DTARCH) model is a useful tool to measure and forecast the mean and volatility of an asset return in a financial time series. The DTARCH model can handle... The double-threshold autoregressive conditional heteroscedastic(DTARCH) model is a useful tool to measure and forecast the mean and volatility of an asset return in a financial time series. The DTARCH model can handle situations wherein the conditional mean and conditional variance specifications are piecewise linear based on previous information. In practical applications, it is important to check whether the model has a double threshold for the conditional mean and conditional heteroscedastic variance. In this study, we develop a likelihood ratio test based on the estimated residual error for the hypothesis testing of DTARCH models. We first investigate DTARCH models with restrictions on parameters and propose the unrestricted and restricted weighted composite quantile regression(WCQR) estimation for the model parameters. These estimators can be used to construct the likelihood ratio-type test statistic. We establish the asymptotic results of the WCQR estimators and asymptotic distribution of the proposed test statistics. The finite sample performance of the proposed WCQR estimation and the test statistic is shown to be acceptable and promising using simulation studies. We use two real datasets derived from the Shanghai and Shenzhen Composite Indexes to illustrate the methodology. 展开更多
关键词 DTARCH model QUANTILE weigh ted COMPOSITE QUANTILE regression modified LIKELIHOOD ratio test restricted WCQR ESTIMATORS unrestricted WCQR ESTIMATORS
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Correction to: Increasing targeting scope of adenosine base editors in mouse and rat embryos through fusion of TadA deaminase with Cas9 variants
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作者 Lei Yang Xiaohui Zhang +16 位作者 Liren Wang Shuming Yin Biyun Zhu Ling Xie Qiuhui Duan Huiqiong Hu Rui Zheng Yu Wei Liangyue Peng Honghui Han Jiqin Zhang Wenjuan Qiu Hongquan Geng Stefan Siwko Xueli Zhang Mingyao Liu Dali Li 《Protein & Cell》 SCIE CAS CSCD 2019年第9期700-700,共1页
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction ... This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/ licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 展开更多
关键词 COMMONS licenses unrestricted
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