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Adenomyosis uterine innervation in mice correlates to nerve growth factor expression,inflammation,and vascularization

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Neural Regeneration Research 2010年第1期5卷 15-20页

作者： Yan Li Shaofen Zhang xian xia Shien zou Department of Gynaecology Obstetrics and Gynaecology H~spital of Fudan University Shanghai 200011 China

BACKGROUND： Studies have shown that abnormal innervation is an important factor impacting occurrence and development of pathological pain in endometriosis. OBJECTIVE： To observe uterine innervation of adenomyosis mice and to analyze the cause of innervation changes due to nerve growth factor （NGF） expression, inflammation, and vascularization. DESIGN, TIME AND SETTING： This randomized, controlled, animal experiment was performed at the Research Institute of Obstetrics and Gynecology Hospital, and Central Laboratory of Zhongshan Hospital, Fudan University from March to December 2008. MATERIALS： Tamoxifen was provided by Fudan Forward, China. Rabbit anti-mouse NGF was purchased from Santa Cruz Corporation, USA; rabbit anti-protein gene product 9.5 （PGP9.5） and rabbit anti-substance P （SP） were purchased from Chemicon, USA. METHODS： A total of 40 newborn ICR mice were randomly assigned to adenomyosis model and control groups, with 20 animals in each group. Mice in the adenomyosis model group were orally administrated 2.7 μmol/kg tamoxifen on days 2-5 after birth, while the controls were not treated. MAIN OUTCOME MEASURES： Both uteri from all mice were harvested at days 135-145 after birth Expressions of polyclonal PGP9.5 and SP were immunohistochemically detected to demonstrate pan- and sensory nerve fibers. Microvessel density was quantified in the endometrium and myometrium using immunochemical staining for polyclonal rabbit anti-CD31, which stained vessels. Gene expression for NGF, high-affinity tyrosine kinase receptor （trkA）, p75 neuretrophin receptor （p75NTR）, bradykinin receptor-1 （BKR-1）, and 2 （BKR-2）, as well as substance P receptor （neurokininl receptor, NK1-R）, were detected by reverse transcription-polymerase chain reaction. NGF-13 protein expression was detected by Western blot analysis. RESULTS： More nerve fibers were stained with PGP9.5 in the endometrium and myometrium, and with SP in the endometrium, in adenomyosis mice compared with controls （P 〈 0.0

关键词： adenomyosis innervation nerve growth factor inflammation vascularization

Current status and recent advances on the use of ultrasonography in pediatric rheumatic diseases

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World Journal of Pediatrics 2020年第1期16卷 52-59页

作者： Li-xia zou Mei-Ping Lu Lawrence Kwok Leung Jung Department of Rheumatology Immunology and Allergy Children's HospitalZhejiang University School of Medicine57 Zhugan LaneHangzhou 310003China Division of Rheumatology Children's National Medical Center in Washington D.C.111 Michigan Avenue NWWashingtonD.C.20010USA

Background Ultrasonography has become a useful tool in the clinical rheumatology settings in the last two decades,but its use has only recently been explored by pediatric *** aim of this article is to review the literature on the current status and recent advances on the use of ultrasound in pediatric rheumatic *** sources We have retrieved and reviewed the relevant articles from MEDLINE/PubMed databases published so far,on the applications of ultrasound in juvenile idiopathic arthritis(JIA),systemic lupus erythematosus,dermatomyositis,enthesitis,Sjogren's syndrome,and other rheumatic *** addition,articles on novel ultrasound imaging technology of potential use in pediatric rheumatology are also *** In JIA,ultrasound can be used to detect subclinical synovitis,to improve the classification of patients in JIA subtypes,to capture early articular damage,to monitor treatment response,and to guide intraarticular *** is also considered useful in other rheumatic disorders for the evaluation of musculoskeletal symptoms,assessment of parotid gland pathology,and measurement of skin thickness and *** ultrasound techniques developed to augment the functionality of ultrasonography may also be applicable in pediatric rheumatic *** Ultrasound shows great promise in the assessment and management of children with rheumatologic ***,standardization and validation of ultrasound in healthy children and in patients with rheumatic diseases are still needed.

关键词： Dermatomyositis Juvenile arthritis Lupus Pediatric rheumatic diseases Sonoelastography Ultrasound

Wavelet analysis of spring climate characteristics in arid aeolian area of agro-pastoral ecotone in China

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Water Science and Engineering 2012年第3期5卷 269-277页

作者： Chun-xia zou xiang-dong SHEN Hong-yun LI xia-zi LI Zhang-jun LI College of Water Conservancy and Civil Engineering Inner Mongolia Agricultural University Hohhot 010018 P. R. China College of Ecology and Environmental Science Inner Mongolia Agricultural University Hohhot 010018 P. R. China Inner Mongolia Weather Bureau Hohhot 010051 P. R. China

The unique regional climate characteristics are among the main reasons for the frequent wind-sand activity in arid and cold areas in the agro-pastoral ecotone in Inner Mongolia, China. This paper focuses on the time series of temperature and precipitation in spring when sandstorms often occur in the area. Based on meteorological data for a 46-year period from 1959 to 2004, multi-scale variations and abrupt changes in temperature and precipitation were analyzed with the Mexican hat function （MHF） wavelet method, showing the multi-scale variation characteristics of temperature and precipitation, as well as the periods and change points at different time scales. The relationship between temperature and precipitation was obtained using the wavelet analysis method. Obvious staggered features of the variations of spring temperature and precipitation were observed in this agro-pastoral ecotone. The strongest oscillation periods of spring temperature variations were 1 and 22 years, while for precipitation, the strongest oscillation periods of variations were 2, 8, and 22 years. In addition, lower spring temperature corresponded to lower precipitation, whereas higher temperature yielded higher precipitation rate.

关键词： spring temperature spring precipitation climate characteristics MHF waveletmethod," arid aeolian area," agro-pastoral ecotone

Suboptimal network coding subgraph algorithms for 5G minimum-cost multicast networks

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Frontiers of Information Technology & Electronic Engineering 2018年第5期19卷 662-673页

作者： Feng WEI Wei-xia zou MOE Key Lab of Universal Wireless Communications Beijing University of Posts and Telecommunications State Key Lab of Millimeter Waves Southeast University

To reduce the transmission cost in 5G multicast networks that have separate control and data planes, we focus on the minimum-power-cost network-coding subgraph problem for the coexistence of two multieasts in wireless networks. We propose two suboptimal algorithms as extensions of the Steiner tree multicast. The critical 1-cut path eliminating （C1CPE） algorithm attempts to find the minimum-cost solution for the coexistence of two multicast trees with the same throughput by reusing the links in the topology, and keeps the solution decodable by a coloring process. For the special case in which the two multicast trees share the same source and destinations, we propose the extended selective closest terminal first （E-SCTF） algorithm out of the CICPE algorithm. Theoretically the complexity of the E-SCTF algorithm is lower than that of the C1CPE algorithm. Simulation results show that both algorithms have superior performance in terms of power cost and that the advantage is more evident in networks with ultra-densification.

关键词： Network coding subgraph Minimum power cost 5G Separation architecture

SPEECH ENHANCEMENT USING AN MMSE SHORT TIME DCT COEFFICIENTS ESTIMATOR WITH SUPERGAUSSIAN SPEECH MODELING

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Journal of Electronics(China) 2007年第3期24卷 332-337页

作者： zou xia Zhang Xiongwei Institute of Communications Engineering PLA Univ. of Sci. ＆ Tech. Nanjing 210007 China

In this paper,two speech enhancement systems with supergaussian speech modeling are presented. The clean speech components are estimated by Minimum-Mean-Square-Error (MMSE) es-timator under the assumption that the DCT coefficients of clean speech are modeled by a Laplacian or a Gamma distribution and the DCT coefficients of the noise are Gaussian distributed. Then,MMSE estimators under speech presence uncertainty are derived. Furthermore,the proper estimators of the speech statistical parameters are proposed. The speech Laplacian factor is estimated by a new deci-sion-directed method. The simulation results show that the proposed algorithm yields less residual noise and better speech quality than the Gaussian based speech enhancement algorithms proposed in recent years.

关键词： Speech enhancement Speech model Minimum-Mean-Square-Error (MMSE) Super Ganssian

An improved algorithm for noise-robust sparse linear prediction of speech

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Chinese Journal of Acoustics 2015年第1期34卷 84-95页

作者： ZHOU Bin zou xia ZHANG Xiongwei The 63rd Research Institute of PLA General Staff Headquarters PLA University of Science and Technology

The performance of linear prediction analysis of speech deteriorates rapidly under noisy environments. To tackle this issue, an improved noise-robust sparse linear prediction algorithm is proposed. First, the linear prediction residual of speech is modeled as Student-t distribution, and the additive noise is incorporated explicitly to increase the robustness, thus a probabilistic model for sparse linear prediction of speech is built, Furthermore, variational Bayesian inference is utilized to approximate the intractable posterior distributions of the model parameters, and then the optimal linear prediction parameters are estimated robustly. The experimental results demonstrate the advantage of the developed algorithm in terms of several different metrics compared with the traditional algorithm and the l1 norm minimization based sparse linear prediction algorithm proposed in recent years. Finally it draws to a conclusion that the proposed algorithm is more robust to noise and is able to increase the speech quality in applications.

关键词： An improved algorithm for noise-robust sparse linear prediction of speech PESQ LP

Adaptive compression method for underwater images based on perceived quality estimation

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Frontiers of Information Technology & Electronic Engineering 2019年第5期20卷 716-730页

作者： Ya-qiong CAI Hai-xia zou Fei YUAN Key Laboratory of Underwater Acoustic Communication and Marine Information Technology Ministry of Education Xiamen University Xiamen 361005 China

Underwater image compression is an important and essential part of an underwater image transmission system. An assessment and prediction method of effectively compressed image quality can assist the system in adjusting its compression ratio during the image compression process, thereby improving the efficiency of the image transmission system. This study first estimates the perceived quality of underwater image compression based on embedded coding compression and compressive sensing, then builds a model based on the mapping between image activity measurement(IAM) and bits per pixel and structural similarity(BPP-SSIM) curves, next obtains model parameters by linear fitting, and finally predicts the perceived quality of the image compression method based on IAM, compression ratio, and compression strategy. Experimental results show that the model can effectively fit the quality curve of underwater image compression. According to the rules of parameters in this model, the perceived quality of underwater compressed images can be estimated within a small error range. The presented method can effectively estimate the perceived quality of underwater compressed images, balance the relationship between the compression ratio and compression quality, reduce the pressure on the data cache, and thus improve the efficiency of the underwater image communication system.

关键词： Underwater image compression Set partitioning in hierarchical trees Compressive sensing Compression quality estimation

Khaled Hosseini’s Literary Creative Strategies in His Trilogy

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Sino-US English Teaching 2024年第10期21卷 456-466页

作者： LI Xinmei zou xia West Yunnan University LincangChina Dali University DaliChina

The Hosseini trilogy encompasses Khaled Hosseini’s three distinguished novels:The Kite Runner,A Thousand Splendid Suns,and And the Mountains *** an Afghan-American novelist,Hosseini’s works exemplify a significant achievement within the sphere of ethnic ***,there is a significant deficiency in comprehensive examinations concerning his artistic traits throughout these three ***,focusing on Hosseini’s cultural identity as an ethnic writer,this paper purports to investigate the creative methodologies that emerge within his *** author posits that Hosseini employs at least three prominent creative strategies:An English writing framework with bilingual cultural elements,vivid depictions of wars through minor incidents,and soul-saving emotional narratives,all of which contribute substantially to the success of his trilogy while also providing meaningful insights for the development and advancement of ethnic writers.

关键词： Khaled Hosseini creative strategies trilogy

Time-frequency mask estimation-based speech enhancement using deep encoder-decoder neural network

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Chinese Journal of Acoustics 2021年第1期40卷 141-154页

作者： SHI Wenhua ZHANG Xiongwei zou xia SUN Meng LI Li REN Zhengbing Army Engineering University Nanjing 210007 Beijing Aeronautical Technology Research Center Nanjing 210028 First Military Representation Office of Air Force Equipment Department Changsha 410114

A time-frequency mask estimation using deep encoder-decoder neural network for speech enhancement is *** mask estimation is learned implicitly by the deep encoder-decoder neural network *** with the time-frequency representation of the noisy speech to learn the nonlinear mapping function between the noisy and target *** deep encoder-decoder neural network employs convolution and de-nonvolution *** convolution encoder makes use of the local perception characteristic of convolution network to model the typical structural features of noisy speech in the time-frequency *** features are extracted and the influence of background noise is *** the decoder end,the speech signal is reconstructed from the extracted speech features in the encoder end and the local details are recovered layer by ***,skip connections are introduced between homologous layers to circumvent the low level details losing problem induced by pooling and down-sampling *** are conducted on the TIMIT dataset and the results demonstrate that the proposed method can effectively suppress noise and recover the detailed information of speech.

关键词： decoder network neural