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Background Optimal pain management after total hip arthroplasty (THA) remains controversial. We perform a meta-analysis from randomized controlled trials (RCTs) to evaluate the efficacy and safety of fascia iliaca compartment block (FICB) in THA. Methods In this meta-analysis, we conducted electronic searches of Pubmed, Medline, Cochrane library, and Web of Science before February 2019. We collected RCTs to compare FICB and placebo for pain control after THA. The outcome measurements consisted of pain score, opioid consumption, length of hospitalization and postoperative complications. All data analyses were conducted using STATA 13.0. Cochrane Collaboration's tool was adopted to assess the risk of bias. Results Seven RCTs met our inclusion criteria with 165 patients in the FICB groups, and 160 patients in the placebo groups. The present meta-analysis indicated that there were significant differences between the groups in terms of pain score at postoperative 12 h (WMD = −0.285, 95% CI [-0.460, −0.109], P = 0.002) and 24 h (WMD = −0.391, 95% CI [-0.723, −0.059], P = 0.021). FICB was associated with significant superior in opioid consumption at postoperative 12 h (WMD = −5.394, 95% CI [-8.772, −2.016], P = 0.002) and 24 h (WMD = −6.376, 95% CI [-10.737, −2.016], P = 0.004) compared with placebo. No significant difference was identified regarding length of hospitalization (WMD = 0.112, 95% CI [-0.125, 0.350], P = 0.354). Conclusion Fascia iliaca compartment block was effective for pain relief during the early post-operative period after total hip arthroplasty. Meanwhile, it reduced the cumulative morphine consumption and the risk of opioid-related adverse effects.

Background and objective Sympathetic activity plays an important role in the proliferation and differentiation of stem cells, and it changes over time, thereby exerting differential effects on various stem cell types. Aging causes sympathetic hyperactivity in aged tissues and blunts sympathetic nerves regulation, and sympathetic abnormalities play a role in aging-related diseases. Currently, the effect of sympathetic activity on skeletal muscle stem cells, namely satellite cells (SCs), is unclear. This study aimed to investigate the effects of skeletal muscle sympathetic activity on SC aging and skeletal muscle repair. Materials and methods To evaluate skeletal muscle and fibrotic areas, numbers of SCs and myonuclei per muscle fiber, β2-adrenoceptor (β2-ADR) expression, muscle repair, and sympathetic innervation in skeletal muscle, aged mice, young mice that underwent chemical sympathectomy (CS) were utilized. Mice with a tibialis anterior muscle injury were treated by barium chloride (BaCl2) and clenbuterol (CLB) in vivo. SCs or C2C12 cells were differentiated into myotubes and treated with or without CLB. Immunofluorescence, western blot, sirius red, and hematoxylin–eosin were used to evaluate SCs, myogenic repair and differentiation. Results The number of SCs, sympathetic activity, and reparability of muscle injury in aged mice were significantly decreased, compared with those in young mice. The above characteristics of young mice that underwent CS were similar to those of aged mice. While CLB promoted the repair of muscle injury in aged and CS mice and ameliorated the reduction in the SC number and sympathetic activity, the effects of CLB on the SCs and sympathetic nerves in young mice were not significant. CLB inhibited the myogenic differentiation of C2C12 cells in vitro. We further found that NF-κB and ERK1/2 signaling pathways were activated during myogenic differentiation, and this process could be inhibited by CLB. Conclusion Normal sympathetic activity promoted the stemness of SCs to thereby maintain a steady state. It also could maintain total and self-renewing number of SCs and maintain a quiescent state, which was correlated with skeletal SCs via β2-ADR. Normal sympathetic activity was also beneficial for the myogenic repair of injured skeletal muscle.

Background: The WD40-encoding RNA antisense to p53 (WRAP53) gene, an antisense gene of TP53, has 3 different transcriptional start sites that yield 3 transcript variants. One of these variants WRAP53-1β encodes a WD repeat-containing protein WRAP53β, whereas WRAP53-1α is a noncoding RNA that regulates p53 mRNA levels. These variants are involved in the progression of non-small cell lung cancer (NSCLC). However, how the different transcript variants regulate NSCLC cell behaviours is to be elucidated.Methods: Wild-type p53 NSCLC A549 cells and p53-mutated H1975 cells were transfected with WRAP53-1α and WRAP53-1β siRNAs, and their behaviours were examined colony formation, cell viability, apoptosis, cell cycle, wound healing, and cell invasion assays.Results: WRAP53-1α knockdown increased the mRNA and protein levels of p53, whereas depletion of WRAP53-1β had no effect on p53 expression. WRAP53-1α knockdown suppressed colony formation and proliferation of A549 cells, but had the opposite effects on H1975 cells. However, WRAP53-1β knockdown promoted A549 cell growth. Depletion of WRAP53-1α and WRAP53-1β promoted apoptosis in A549 but not H1975 cells. WRAP53-1α knockdown increased the proportion of A549 but not H1975 cells at the G0/G1 phase. However, WRAP53-1β knockdown decreased the proportion of cells at the G0/G1 phase in A549 cells. Depletion of WRAP53-1α suppressed A549 cell migration and invasion, and promoted H1975 cell migration and invasion. However, depletion of WRAP53-1β had the opposite effects.Conclusions: The 2 WRAP53 transcript variants exerted opposite functions in NSCLC cells and regulated NSCLC cell behaviours in a p53-dependent manner.

Abnormal expression and dysfunction of Never-in-mitosis-A-related kinase 2 (NEK2) result in tumorigenesis. High levels of NEK2 are related to malignant progression, drug resistance, and poor prognosis. However, the relationship between NEK2 levels and the occurrence of non-small cell lung cancer (NSCLC) remains unknown. This study aimed to explore the impacts of NEK2 on the oncogenesis of NSCLC and the tumor microenvironment. Downregulation of NEK2 inhibited A549 and H1299 cell proliferation, migration, and invasion, blocking cell cycle at the G0/G1 phase. Loss of NEK2 inhibited the release of IL-10 from tumor cells, M2-like polarization of macrophages, angiogenesis, and vascular endothelial cell migration. Furthermore, NEK2 deficiency inhibited tumor growth in vivo. Taken together, NEK2 knockdown inhibited the occurrence and development of NSCLC, M2 polarization of macrophages, and angiogenesis. The abnormal expression of NEK2 might not only indicate tumor progression and patient prognosis but also serve as a potential molecular therapeutic target with great development prospects.

Background and purpose Head and neck squamous carcinoma (HNSCC), characterized by immunosuppression, is a group of highly heterogeneous cancers. Although immunotherapy exerts a promising influence on HNSCC, the response rate remains low and varies in assorted primary sites. Immunological mechanisms underlying HNSCC pathogenesis and treatment response are not fully understood. This study aimed to develop a differentially expressed genes (DEGs)-based risk model to predict immunotherapy efficacy and stratify prognosis of HNSCC patients. Materials and methods The expression profiles of HNSCC patients were downloaded from The Cancer Genome Atlas (TCGA) database. The tumor microenvironment and immune response were estimated by cell type identification via estimating relative subset of known RNA transcripts (CIBERSORT) and immunophenoscore (IPS). The differential expression pattern based on human papillomavirus status was identified. A DEGs-based prognostic risk model was developed and validated. All statistical analyses were performed with R software (version 3.6.3). Results By using the TCGA database, we identified DKK1, HBEGF, RNASE7, TNFRSF12A, INHBA, and IPIK3R3 as DEGs that were associated with patients' overall survival (OS). Patients were stratified into the high- and low-risk subgroups according to a DEGs-based prognostic risk model. Significant difference in OS was found between the high- and low-risk patients (1.64 vs. 2.18 years, P = 0.0017). In multivariate Cox analysis, the risk model was an independent prognostic factor for OS (hazard radio = 1.06, 95% confidence interval [1.02-1.10], P = 0.004). More CD8+ T cells and regulatory T cells were observed in the low-risk group and associated with a favorable prognosis. The IPS analysis suggested that the low-risk patients possessed a higher IPS score and a higher immunoreactivity phenotype, which were correlated with better immunotherapy response. Conclusion Collectively, we established a reliable DEGs-based risk model with potential prognostic value and capacity to predict the immunophenotype of HNSCC patients.

The stromal microenvironment has been shown to affect the infiltration of esophageal carcinoma (ESCA), which is linked to prognosis. However, the complicated mechanism of how infiltration is influenced by the stromal microenvironment is not well-defined. In this study, a stromal activation classifier was established with ridge cox regression to calculate stroma scores for training (n = 182) and validation cohorts (n = 227) based on the stroma-related 32 hub genes identified by sequential bioinformatics algorithms. Patients with high stromal activation were associated with high T stage and poor prognosis in both esophagus adenocarcinoma and esophagus squamous cell carcinoma. Besides, comprehensive multi-omics analysis was used to outline stromal characterizations of 2 distinct stromal groups. Patients with activated tumor stoma showed high stromal cell infiltration (fibroblasts, endothelial cells, and monocyte macrophages), epithelial-mesenchymal transition, tumor angiogenesis and M2 macrophage polarization (CD163 and CD206). Tumor mutation burden of differential stromal groups was also depicted. In addition, a total of 6 stromal activation markers in ESCA were defined and involved in the function of carcinoma-associated fibroblasts that were crucial in the differentiation of distinct stromal characterizations. Based on these studies, a practical classifier for the stromal microenvironment was successfully proposed to predict the prognosis of ESCA patients.

Objective To evaluate the local distribution and activity of sympathetic nerves in myofascial trigger points (MTrPs) and explore the pathological mechanism of myofascial pain syndrome (MPS) using a rat model of disease. Methods MPS was modeled in the model group (MG) by a combination of blunt trauma and eccentric exercise in Sprague-Dawley rats (n = 8). Eight rats were randomly assigned to the control group (CG). Histopathology was applied to detect the local conditions of the MTrPs. Tyrosine hydroxylase (TH), nerve growth factor (NGF), and norepinephrine (NE) were detected in the MTrPs to evaluate sympathetic remodeling. Results Muscle fiber rupture, atrophy and shape irregularity were universally observed in the MTrPs. TH expression was significantly increased in the MG, as detected by immunofluorescence, and NGF and TH expression was also higher in MTrPs in the MG than in MTrPs in the CG, as determined by immunohistochemistry. Furthermore, the expression of NE was significantly increased in MTrPs, as determined by ELISA. Conclusion There was sympathetic hyperinnervation in MTrPs, which could partially explain the symptoms of MTrPs and is an interesting and useful new perspective regarding the diagnosis and treatment of MPS. Perspective The sympathetic nerves in MTrPs are remodeled, leading to sympathetic hyperinnervation. Sympathetic hyperinnervation can partially explain the symptoms of MPS. The pathological mechanism of sympathetic hyperinnervation may be a new perspective for the diagnosis and treatment of MPS.

Background: Myocardial Infarction (MI), a kind of heart deficiency, is the main cause of death and disability. Autophagy, a metabolic process for the degradation of damaged proteins or organelles, is important for cardiac functions and regulated by several miRNAs including miRNA- 101. The aim of this research was to investigate the effects of miR-101 in myocardial infarctioninduced injury and the related mechanisms. Methods: MI model was induced by ligation of the left coronary artery. The in vitro model was established by hypoxia-induced H9c2 cells (rat myocardial cells). The overexpression of miR-101 was achieved by transfection. The expression of associated proteins was analyzed by Western blotting. The level of miR-101 was analyzed by reverse transcription-polymerase chain reaction (RTPCR). The target genes for miR-101 and the target sites were analyzed by TargetScan. Results: The results showed that miR-101 was decreased in MI mice (P Conclusion: This research suggested that miR-101 attenuated- MI-induced injury by targeting DDIT4 to regulate autophagy, which indicated that miR-101 or DDIT4 may be potential therapeutic targets for heart injury.

BackgroundTumor microenvironment has complex effects on tumorigenesis and metastasis in lung adenocarcinoma (LUAD). However, there is still a lack of comprehensive understanding of the relationship between immune and non-immune stromal characteristics in tumor microenvironment.Patients and methodsEight cohort of 1681 lung caner patients were included in this study. The immune and non-immune stromal signatures of tumor microenvironment were identified by eigendecomposition and extraction algorithms. We developed a novel immune and stromal scoring system to quantify anti-tumor immune and promote-metastasis stromal activation, namely PMBT (prognostic model based on tumor microenvironment) as an R package. Tumors were classified into 4 subtypes according to PMBT system. Comprehensive analysis was performed in different subtypes.ResultsThe 4 subgroups had different mutation landscape, molecular, cellular characteristics and prognosis, which validated by 7 data sets containing 1175 patients. 19% patients was characterized by highly active anti-tumor reaction with high production of immunoactive mediators, immunocyte, low fibroblasts infiltration, low TGF-β, VEGFA, collagen and glucose catabolic, low immune checkpoint per T cell, tumor mutation burden, and favourable overall survival (all, P < 0.05) named high-immune and low-stromal activation subgroup (HL). Cellular paracrine network showed both high humoral and cellular immune interaction in HL group. The low-immune and high-stromal activation group (19%) had opposite characteristics with HL group. Moreover, the PMBT system showed the value to predict overall survival and immunotherapy responses (all, P < 0.05).ConclusionsDifferent molecular, cellular characteristics, mutation landscape and prognosis were discovered in the 4 subgroups. Our classification, PMBT system provided novel insight for clinical monitoring and treatment in LUAD.

The tea geometrid, Ectropis obliqua Prout (Lepidoptera: Geometridae), is one of the most threatening pests of tea (Camellia sinensis (L.) O. Kuntze) plants. In this study, we developed eleven new polymorphic microsatellite markers from tea geometrid by using the microsatellite motif enriched library method. Polymorphism of each locus was detected in 69 individuals from three natural populations. The number of alleles varied from 2 to 8, and the expected and observed heterozygosities ranged from 0.042 to 0.801 and from 0.042 to 0.875, respectively. Six loci had significant deviations from the Hardy–Weinberg equilibrium (HWE). These microsatellite markers will be useful for the future study of this agricultural pest in genetic diversity, population structure and evolution of resistance. This information will be allowed to establish new pest management strategies and improve the effectiveness of pest control program of this species.

The impact of ZnS layer as an interface modification on the photosensitive ZnO nanowire arrays solar cells was studied. CdS, CdSe and ZnS were deposited on ZnO nanowire arrays by SILAR method. When a ZnS layer was deposited, the quantum dot barrier was indirectly become in contact with the electrolyte, which thus restrained the flow of electrons. The CdS sensitized solar cells has an efficiency of 0.55% with the deposition of the ZnS(3) layer, that is, with a deposition of three times, whereas the CdS/CdSe co-sensitized solar cells has an efficiency of 2.03% with the deposition of the ZnS(1) layer. It was also noted that as the thickness of the of ZnS layer was increased, V oc , I sc and efficiencies of both the solar cells were first increased and then decreased. In addition, the CdS/N719 solar cells has an efficiency of 0.75% with the deposition of the ZnS(2) layer.

Chemokines exhibited complicated functions in antitumor immunity, with their expression profile and clinical importance of lung adenocarcinoma (LUAD) patients remaining largely undetermined. This study aimed to explore the expression patterns of chemokine family in LUAD and construct a predictive chemokine family-based signature. A total of 497 samples were downloaded from the Cancer Genome Atlas (TCGA) data portal as the training set, and the combination of 4 representative Gene Expression Omnibus (GEO) datasets, including GSE30219, GSE50081, GSE37745, and GSE31210, were utilized as the validation set. A three gene-based signature was constructed using univariate and stepwise multivariate Cox regression analysis, classifying patients into high and low risk groups according to the overall survival. The independent GEO datasets were utilized to validate this signature. Another multivariate analysis revealed that this signature remained an independent prognostic factor in LUAD patients. Furthermore, patients in the low risk group featured immunoactive tumor microenvironment (TME), higher IPS scores and lower TIDE scores, and was regarded as the potential beneficiaries of immunotherapy. Finally, the role of risky CCL20 was validated by immunohistochemistry (IHC), and patients possessed higher CCL20 expression presented shorter overall survival ( P = 0.011).

// Yanping Gao 1 , Longbang Chen 1 , Haizhu Song 1 , Yitian Chen 1 , Rui Wang 1 , Bing Feng 1 1 Department of Medical Oncology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China Correspondence to: Rui Wang, email: wangrui218@163.com Bing Feng, email: itisvanvan@hotmail.com Keywords: lung adenocarcinoma (LAD), chemoresistance, miR-200b, E2F3b, feedback loop Received: January 13, 2016 Accepted: March 16, 2016 Published: March 25, 2016 ABSTRACT MicroRNAs (miRNAs) are non-coding small RNAs which negatively regulate gene expressions mainly through 3’-untranslated region (3’-UTR) binding of target mRNAs. Recent studies have highlighted the feedback loops between miRNAs and their target genes in physiological and pathological processes including chemoresistance of cancers. Our previous study identified miR-200b/E2F3 axis as a chemosensitivity restorer of human lung adenocarcinoma (LAD) cells. Moreover, E2F3b was bioinformatically proved to be a potential transcriptional regulator of pre-miR-200b gene promoter. The existance of this double-negative feedback minicircuitry comprising E2F3b and miR-200b was confirmed by chromatin immunoprecipitation (ChIP) assay, site-specific mutation and luciferase reporter assay. And the underlying regulatory mechanisms of this feedback loop on docetaxel resistance of LAD cells were further investigated by applying in vitro chemosensitivity assay, colony formation assay, flow cytometric analysis of cell cycle and apoptosis, as well as mice xenograft model. In conclusion, our results suggest that the double-negative feedback loop between E2F3b and miR-200b regulates docetaxel chemosensitivity of human LAD cells mainly through cell proliferation, cell cycle distribution and apoptosis.

Background The pathogenesis of pain in irritable bowel syndrome (IBS) is poorly understood and treatment remains difficult. We have previously reported that TTX-resistant (TTX-R) sodium channels in colon-specific dorsal root ganglion (DRG) neurons were sensitized and the expression of the endogenous hydrogen sulfide producing enzyme cystathionine β-synthetase (CBS) was upregulated in a rat model of visceral hypersensitivity induced by neonatal maternal deprivation (NMD). However, the detailed molecular mechanism for activation of sodium channels remains unknown. This study was designed to examine roles for CBS–H 2 S signaling in sensitization of sodium channels in a previously validated rat model of IBS. Methods Neonatal male rats (postnatal days 2–15) were exposed to a 3 hour period of daily maternal separation with temperature maintained at ~ 33 °C. Colon-specific dorsal root ganglion (DRG) neurons were labeled with DiI and acutely dissociated for measuring excitability and sodium channel current under whole-cell patch clamp configurations. The expression of Na V 1.8 was analyzed by Western blot and Immunofluorescence study. The endogenous H 2 S producing enzyme CBS antagonist was injected intraperitoneally. Results We showed that CBS was colocalized with Na V 1.8 in colon-specific DRG neurons pre-labeled with DiI. Pretreatment of O -(Carboxymethyl) hydroxylamine hemihydrochloride (AOAA), an inhibitor of CBS, significantly reduced expression of Na V 1.8 in NMD rats. AOAA treatment also inhibited the TTX-R sodium current density, right-shifted the V 1/2 of activation curve, and reversed hyperexcitability of colon-specific DRG neurons in NMD rats. Conversely, addition of NaHS, a donor of H 2 S, greatly enhanced TTX-R sodium current density, left shifted the activation curve and enhanced excitability of colon DRG neurons in age-matched healthy rats. Furthermore, application of H-89, an inhibitor of protein kinase A, markedly attenuated the potentiation of TTX-R sodium current density by NaHS. Conclusion These data suggest that sensitization of sodium channels of colon DRG neurons in NMD rats is most likely mediated by CBS–H 2 S signaling, thus identifying a potential target for treatment for chronic visceral pain in patients with IBS.

// Yanping Gao 1,* , Bing Feng 1,* , Lu Lu 1 , Siqi Han 1 , Xiaoyuan Chu 1 , Longbang Chen 1 and Rui Wang 1 1 Department of Medical Oncology, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu, PR China * These authors have contributed equally to this work Correspondence to: Rui Wang, email: // Keywords : microRNA, E2F3, proliferation, apoptosis, metastasis Received : December 27, 2016 Accepted : April 03, 2017 Published : April 21, 2017 Abstract E2F transcription factor 3 (E2F3) is oncogenic in tumorigenesis. Alterations in E2F3 functions correspond with poor prognosis in various cancers, underscoring their status for the clinical cancer phenotype. Latest reports discovered intricate networks between microRNAs (miRNAs) and E2F3 in regulating the balance of these events, including proliferation, apoptosis, metastasis, as well as drug resistance. miRNAs are non-coding small RNAs which negatively regulate gene expressions post-transcriptionally mainly through 3’-UTR binding of target mRNAs. Increasing evidence shows that E2F3 can be activated/inhibited by numerous miRNAs whose dysregulation has been implicated in malignancy. In turn, miRNAs themselves can be transcriptionally regulated by E2F3, thus forming a negative feedback loop. These findings add a new challenging layer of complexity to E2F3 network. Current understanding of the reciprocal link between E2F3 and miRNAs in human cancers were summarized, which could help to develop potential therapeutic strategies.

In this paper, we develop a new finite-time formation control framework for multi-agent systems with a large population of members. In this framework, we divide the formation information into two independent parts, namely, the global information and the local information. The global formation information decides the geometric pattern of the desired formation. Furthermore, it is assumed that only a small number of agents, which are responsible for the navigation of the whole team, can obtain the global formation information, and the other agents regulate their positions by the local information in a distributed manner. This approach can greatly reduce the data exchange and can easily realize various kinds of complex formations. As a theoretical preparation, we first propose a class of nonlinear consensus protocols, which ensures that the related states of all agents will reach an agreement in a finite time under suitable conditions. And then we apply these consensus protocols to the formation control, including time-invariant formation, time-varying formation and trajectory tracking, respectively. It is shown that all agents will maintain the expected formation in a finite time. Finally, several simulations are worked out to illustrate the effectiveness of our theoretical results.

Compared with the existing cloud computing systems based on high-performance processors and traditional Ethernet network, a 32 Godson processors cloud computing system based on HyperTransport switch (HT switch) is presented in this paper, which uses HT switch as its interconnection fabric. HT switch makes it possible to build a high performance-cost ratio, and high performance-watt ratio cloud server based on Godson processors, to better meet the requirements of cloud computing workloads. As a key interconnection fabric used to construct the cloud server, the HT switch architecture is discussed in details. To evaluate the performance of HT switch-based multiprocessor systems, a prototyping system followed by results of performance testing is implemented.

Integrating data for phylogenetic analysis from multivariate data is a known problem of data-intensive application. We present a solution to integrate both sequence data and taxonomy system, and give an implementation on Web. Two kinds of data model are described and the method to be synchronized with international database, to add own data in going projects, to keep quality of data both from public and users' own, and to build private taxonomy system in "My DarwinTree" effectively, is introduced. There are also some data screening rules and taxonomy system tree building algorithms to be introduced.

DNA barcoding technology, which uses of one or a few DNA fragments for rapid identification of species, is a research focus on biodiversity information studies. In this paper, a data analysis toolbox, iDNABar, is designed and implemented to support species identification with all phases of the analytical flow, form specimen collection to tightly validated barcode library for any DNA fragment. The method of identification is proposed; key elements to management and sharing are also presented, including the user security, statistical functions and application interfaces. Meanwhile, the applications of the implementation are discussed to drive the species identification cloud’s development. (For download: http://www.darwintree.cn/tools.htm)

For the purpose of development of the new patrol robot in unattended power station, this paper studies and designs the intelligent cooperative simulation of soft-man and robot. First, the generalized logic model of cooperative intelligent simulation is established, and then the platform of cooperative intelligent simulation is designed. Finally, some simulations have been completed to confirm the effectiveness of the obtained results.

The prediction for dissolved oxygen (DO) in aquaculture ponds is a problem of multi-variables, nonlinearity and long-time lag. Neural networks (NNs) have become one of ideal tools in modeling nonlinear relationship between inputs and outputs. In this work, GA-LM, a neural network model combining Levenberg–Marquardt(LM) algorithm and Genetic Algorithm (GA) was developed for predicting DO in an aquaculture pond at Dalian, China. LM was used to train NNs, showing faster convergence rate. The network architecture was optimized by GA. The performance of GA-LM has been compared with that of conventional Back-Propagation (BP) algorithm and Levenberg–Marquardt(LM) algorithm. The comparison indicates that the predicted DO values using GA-LM model are in good agreement with the measured data. It is demonstrated here that the model is capable of predicting DO accurately, and can offer stronger and better performance than conventional neural networks when used as a quick interpolation and extrapolation tool.

In intensive aquaculture, the growing state of aquaculture organisms is affected by many factors. Among these factors, the quality of aquaculture water has a full impact on the growth of aquaculture organisms. High quality waters will be more conducive to the aquaculture organisms' growth. It can enhance the economic value of the aquaculture, and plays an important role in the aspect of developing the cause of water aquaculture. It is mainly researched in this paper that how to establish the model about the growing status of aquaculture organisms which is based on the artificial neural network expert system. The growing state model affected by many water quality parameters is established in this project, and using artificial neural network technology can solve the bottleneck problem in the expert system. Experiment results have proved that the method is effective. When the parameters of aquaculture water changing, we can deduce that how change the growing state of the aquaculture organisms correspondingly by the model.

In this paper, the characteristics of an electric shaker are analyzed first. A fuzzy PID control rules is established according to the nonlinear characteristics. The controller has a feedback - feedforward structure, which realizes a tracking control of acceleration for the electric shaker. Experimental results show that the controller works stably and obtained the satisfying control effect. Moreover, in order to decrease system’s tracking error, the change rate of input variable is taken as a control variable, this strategy is suitable for a class of tracking control systems in which the input changes rapidly.

the purpose of digital identification technology based on artificial neural networks is to achieve efficient character recognition through the simulation of human brain function and structure. This paper uses BP neural network to design three classifiers which separately extract the input vector with different characteristics, proposes a weighted integration multi-classifier method based on the analysis of common used integrated multi-classifiers, and uses the method to integrate the designed three classifiers to design a weight-based integrated multi-classifier handwritten digital identification system.

After entering the 1990s, a new metal oxide semiconductor device-- insulated gate bipolar transistor (IGBT) was first widely used in the industrial driving device. The voltage source converter using IGBT has the ability to turn off current and it can also carry out passive inversion by using pulse width modulation (PWM) technology, which solves the problem of DC transmission to load points without AC supply. Because of strong function and small volume of this converter, it can reduce filtering devices in converter stations, omit converter transformers and simplify the structure of converter station, it is called HVDC light. This paper emphasizes the control technology of HVDC Light system based on VSC core research and designs the experimental system of HVDC Light, including overall design, parameter configuration of main circuit and software and hardware implementation schemes, etc; among these, converter is simulated by IGBT intelligent power module (IPM) and the control algorithm of the system is realized by DSP TMS320F2812A.

Among numerous seawater treatment methods, electrolysis belongs to a relatively ideal method with good treatment effect. Basically, it can reach the standards of safe, effective, economical and environment-friendly. The control circuit part design of ballast seawater treatment system based on electrolysis is finished in this paper. This system takes a MCU as its control core, synchronous circuit module design, trigger module design and data acquisition module design, etc are mainly introduced during system design.

Reactive power compensation is meaningful for the stable and economic running of the electric power system. As the development of electrical and electronics technology and the instantaneous reactive power theory, an advanced static Var generator (SVG) which adopts self-adaptive phase AC circuit appears. A new SVG used in low voltage distribution system is designed in this paper. It mainly introduced the software of this system, including: 1) PWM pulse generator; 2) Design of the grid frequency tracing module; 3) A/D conversion module.

The terminal design of a data acquisition system based on GPRS is designed in this paper. It works out the hardware design of GPRS terminal equipment, including the minimum system design based on the Samsung ARM7-core microcontroller S3C44B0X, and the hardware design adding the GPRS engine MC35i produced by Siemens and RS485 interface to the minimum system. According to dial-up procedure, describes how to design the MC35i dial-up program. Here introduces some important subsets of AT command sets, and also describes how to use them to dial up MC35i; analyzes the principle of the point-to-point protocol, and also demonstrates how to establish the wireless link to GPRS by practical example.

An application service provider solution, named LINKCAFE for the food industry, offers customers a new means to leverage the internet to support line-of-business applications while reducing total cost of ownership. It is necessary for managers to maintain data accuracy and ensure data coherence in the online system. In this paper, abnormal data detection applications (ADDA) based on object oriented approach was developed by using unified modeling language models such as use-case diagrams and sequence diagrams. The programming has been accomplished for system managers for online service. Through verification and validation of the application in functionality to practical service for some years, the results have already proved that actual application of ADDA has not only enhanced the accuracy of data detection but also reduced data checking time to original 1/20 for system managers.

The parameters of PID controller are needed to adjust on-line to satisfy the high performance requirement, because the external disturbance to PMSM servo system is random and the controlled object often varies with the work condition variation. The PMSM servo system is nonlinear, time-varying, and complex system. The traditional self adapting control is very difficult to realize. which need the on-line identification to the system characteristic parameters and the real-time change of control strategy. A new fuzzy self-adapting PID control method is proposed in this paper, which synthesizes the merits of fuzzy control and PID control. Using fuzzy inferences method, the PID parameters can be adjusted adaptively on-line for the varying state of the system. For the PMSM speed adjustment system, the vector control is used in current loop and fuzzy self-adjusting PID control is used in speed loop instead of traditional PI control. The effectiveness of the proposed control method is verified by simulation based on Matlab. The controller has better performance and robustness than conventional PI controller in the PMSM servo system.