Application of single neuron adaptive PID controller during the process of timber drying

The paper presents a method of using single neuron adaptive PID control for adjusting system or servo system to implement timber drying process control, which combines the thought of parameter adaptive PID control and the character of neural network on exactly describing nonlinear and uncertainty dynamic process organically. The method implements functions of adaptive and self-learning by adjusting weighting parameters. Adaptive neural network can make some output trail given hoping value to decouple in static state. The simulation result indicates the validity, veracity and robustness of the method used in the timber drying process

Research on Neural Network Based QoS Routing

In this paper, the requirements of routing due to the multimedia applications are briefly discussed. In order to solve the QoS constrained routing effectively and efficiently, the scheme of routing based on Hopfield neural network is proposed after the analysis of related work. Then the QoS routing algorithm for unicast based on Hopfield NN is described and the result of emulation is given. At last, multicast QoS routing considerations based on Hopfield NN are proposed.

Association of RELN promoter SNPs with schizophrenia in the Chinese population

Previous research on gene expression analysis and association tests have suggested that RELN is a risk gene for schizophrenia in world populations.Based on the reported down-regulation of RELN in schizophrenia patients compared with normal subjects,we speculated that variants in the RELN promoter region may confer risk for schizophrenia.In this study,we investigated the associations of three SNPs in the promoter region of RELN with schizophrenia in a case-control sample from southwestern China（940 cases and 13 69 controls）.The results suggested that none of the SNPs showed significant associations in our sample,indicating the risk variants for schizophrenia in RELN may not be located in the promoter region.We also performed meta-analysis by combining our data with previously reported data on the Chinese population with a total sample size of 2 843 individuals,and the result remained nonsignificant.Collectively,our results suggested variants in the RELN promoter may not harbor risk SNPs associated with schizophrenia in the Chinese population.

Design and Simulation of Single Neuron Adaptive PID Controller

The purpose of this paper is to design a neuron adaptive PID controller based on the theory of intelligent control of the extens- ive research on the characteristics of neuronss, neurons and PID controller. Artificial neurons have the adaptive, parallel processing, selflearning learning, and mare fault-tolerant characteristics. When the artificial neurons are used to control the process, the syste^n will enabled to en-sure that the accused has strong anti-interference capability and ro. bustness.

Approach to Generalized Synchronization with Application to Chaos-Based Secure Communication

A constructive theorem is established for generalized synchronization (GS) related to C1 diffeomorphic transformations of unidirectionally coupled dynamical arrays. The theorem provides some interpretations about the underlying mechanism of various GS phenomena in nature. As a direct application of the theorem, a chaos-based secure Internet communication scheme is proposed. Moreover, a cellular neural network (CNN) of Chen's chaotic circuits with GS property is designed and studied. Numerical simulation shows that this Chen's CNN has high security and is fast and reliable for secure Internet communications.

Investigating the role of^(99m)Tc-TRODAT-1 SPECT imaging in idiopathic Parkinson's disease

Objective:To investigate the role of ^(99m)Tc-TRODAT-1 SPECT in diagnosis and assessing severity of idiopathicParkinson's disease(PD).Methods:Thirty-eight patients with primary,tentative diagnosis of PD and eighteen age-matchednormal controls were studied with ^(99m)Tc-TRODAT-1 SPECT imaging.The regions of interests(ROIs)were drawn manually oncerebellum(CB),occipital cortex(OC)and three transverse plane slice-views of striatums,the semiquantitative BG(back-ground)/[(OC+CB)/2]were then calculated.Results:A lower uptake of ^(99m)Tc-TRODAT-1 in striatums were displayed inthirty-six out of thirty-eight PD patients by visual inspection,compared to controls.In twenty-four PD cases with HYS(Hoehn andYahr scale)stage Ⅰ,a greater loss of DAT uptake was found in striatum and its subregions contralateral striatum to the affectedlimbs than in the same regions of the controls,although the striatal uptake was bilaterally reduced.Using Spearman correlationanalysis showed that the reduction of the uptake ratios significantly correlated with the UPDRS in striatum and all its subregions inthe PD group(P<0.05),a similar change was also found in the putamen by using the rating scale of Hoehn and Yahr (P<0.05).However,analysis of variance(ANOVA)did not show any relationship between the decreasing uptake of ^(99m)Tc-TRODAT-1 andincreasing severity of PD patients,although the specific uptake of ^(99m)Tc-TRODAT-1 was continuously decreased in the striatumby visual inspection with the progress of PD from HYS stage Ⅰ to Ⅲ.Conclusion:^(99m)Tc-TRODAT-1 SPECT imaging may serve asa useful method for improving the correct diagnosis of PD.In assessing the role of ^(99m)Tc-TRODAT-1 SPECT in disease severity ofPD,UPDRS can offer a comprehensive index,although the Hoehn and Yahr assessment may be available in part.

Experience of Cervical Plexus Reinnervation for Patients with Unilateral Recurrent Laryngeal Nerve Invasion or Injury

OBJECTIVE To explore the clinical and therapeutic effects of cervical plexus reinnervation for infiltrated or injured unilateral recurrent laryngeal nerve （URLN）. METHODS Functional neck dissection for removal of differentiated thyroid carcinoma （DTC） in patients was performed, in which cervical plexus reinnervation was adopted for patients with stage I disease and URLN with injury or with tumor invasion. Outcomes of surgery were evaluated by examination under fibrolaryngoscope, and the patients＇ voices were evaluated before and after surgery. RESULTS All cases were followed up for 3 mon-2 years （average 8 mon）. Abductory motion of the vocal cords of 15 patients was completely or partly restored, but 3 patients＇ vocal cords were immovable. The recovery rate of abductory motion of the paralyzed vocal cords was 83.33% （15/18）. The function of phonation in the 16 patients was restored to normal or near normal limits, and their hoarseness was improved significantly. CONCLUSION Cervical plexus-URLN reinnervation should be considered when treating patients with unilateral vocal cord paralysis. Removing the tumor simultaneously with cervical plexus reinnervation during surgery for repair of unilateral recurrent laryngeal nerve injury was convenient and easy to perform with less functional damage compared with other methods of reinnervation. The abductory motion of vocal cord could be satisfactorily restored by this reinnervation. Surgical performance skills and application of neurotrophic drugs were important for the success of the surgery.

Reduction of gastrointestinal motility by unilateral thyroparathyroidectomy plus subdiaphragmatic vagotomy in rats

AIM: To investigate whether the combined methods of unilateral thyroparathyroidectomy (TPX) and subdiaphragmatic vagotomy (VAX) can be adapted for rats and used as a reliable method to produce a rat model of long-term reduction of gastrointestinal (GI) motor function. METHODS: Male Sprague-Dawley rats were randomly divided into 3 groups, normal, sham-operated and unilateral TPX plus VAX. The TPX plus VAX rats received VAX 7 d after application of TPX, and dietary intake and fecal output were then measured daily for 1 wk.After completion of the experiments, gastric emptying and small bowel transit were measured in vivo, and the contractile responses of colonic strips to excitatory and inhibitory neurotransmitters were estimated using isometric force transducers in vitro. RESULTS: In comparison with normal and sham-operated rats, rats which received unilateral TPX plus VAX showed a significant decrease in body weight and in fecal pellet number and weight throughout the entire week. Application of TPX plus VAX to rats markedly delayed gastric emptying and small bowel transit. In TPX plus VAX rats, the longitudinal muscles of the proximal colon showed a significant reduction in contractile responses to acetylcholine (5 × 10-6 mol/L), and a dramatic attenuation of contractile responses was also observed in both the longitudinal and circular muscles of the distal colon. However, the spontaneous contractility of the colonic strips from TPX plus VAX rats was not significantly affected by treatment with N-nitro-Larginine-methyl ester (0.1 mol/L). CONCLUSION: The results indicate that unilateral TPX plus VAX reduced the motor function of the GI tract in rats, and the reduced gut motility is likely mediated, at least in part, by inhibition of the excitatory neurotransmitter system.

Chinese word sense disambiguation based on neural networks

The input of a network is the key problem for Chinese word sense disambiguation utilizing the neural network. This paper presents an input model of the neural network that calculates the mutual information between contextual words and the ambiguous word by using statistical methodology and taking the contextual words of a certain number beside the ambiguous word according to (-M,+N).The experiment adopts triple-layer BP Neural Network model and proves how the size of a training set and the value of Mand Naffect the performance of the Neural Network Model. The experimental objects are six pseudowords owning three word-senses constructed according to certain principles. The tested accuracy of our approach on a closed-corpus reaches 90.31%, and 89.62% on an open-corpus. The experiment proves that the Neural Network Model has a good performance on Word Sense Disambiguation.

Prediction of uniaxial compressive strength and modulus of elasticity for Travertine samples using regression and artificial neural networks

Uniaxial Compressive Strength (UCS) and modulus of elasticity (E) are the most important rock parameters required and determined for rock mechanical studies in most civil and mining projects. In this study, two mathematical methods, regression analysis and Artificial Neural Networks (ANNs), were used to predict the uniaxial compressive strength and modulus of elasticity. The P-wave velocity, the point load index, the Schmidt hammer rebound number and porosity were used as inputs for both meth-ods. The regression equations show that the relationship between P-wave velocity, point load index, Schmidt hammer rebound number and the porosity input sets with uniaxial compressive strength and modulus of elasticity under conditions of linear rela-tions obtained coefficients of determination of (R2) of 0.64 and 0.56, respectively. ANNs were used to improve the regression re-sults. The generalized regression and feed forward neural networks with two outputs (UCS and E) improved the coefficients of determination to more acceptable levels of 0.86 and 0.92 for UCS and to 0.77 and 0.82 for E. The results show that the proposed ANN methods could be applied as a new acceptable method for the prediction of uniaxial compressive strength and modulus of elasticity of intact rocks.

Image Deraining for UAV Using Split Attention Based Recursive Network

Images captured in rainy days suffer from noticeable degradation of scene visibility.Unmanned aerial vehicles(UAVs),as important outdoor image acquisition systems,demand a proper rain removal algorithm to improve visual perception quality of captured images as well as the performance of many subsequent computer vision applications.To deal with rain streaks of different sizes and directions,this paper proposes to employ convolutional kernels of different sizes in a multi-path structure.Split attention is leveraged to enable communication across multiscale paths at feature level,which allows adaptive receptive field to tackle complex situations.We incorporate the multi-path convolution and the split attention operation into the basic residual block without increasing the channels of feature maps.Moreover,every block in our network is unfolded four times to compress the network volume without sacrificing the deraining performance.The performance on various benchmark datasets demonstrates that our method outperforms state-of-the-art deraining algorithms in both numerical and qualitative comparisons.

Turnout fault prediction method based on gated recurrent units model

Turnout is one of the important signal infrastructure equipment,which will directly affect the safety and efficiency of driving.Base on analysis of the power curve of the turnout,we extract and select the time domain and Haar wavelet transform characteristics of the curve firstly.Then the correlation between the degradation state and the fault state is established by using the clustering algorithm and the Pearson correlation coefficient.Finally,the convolutional neural network(CNN)and the gated recurrent unit(GRU)are used to establish the state prediction model of the turnout to realize the failure prediction.The CNN can directly extract features from the original data of the turnout and reduce the dimension,which simplifies the prediction process.Due to its unique gate structure and time series processing features,GRU has certain advantages over the traditional forecasting methods in terms of prediction accuracy and time.The experimental results show that the accuracy of prediction can reach 94.2%when the feature matrix adopts 40-dimensional input and iterates 50 times.

An attitude calculation algorithm based on WNN-EKF

In the strapdown inertial navigation system,the attitude information is obtained through an inertial measurement unit(IMU)device,which mainly includes a triaxial gyroscope,a triaxial accelerometer and a triaxial magnetometer.However,IMU sensors have system noise and drift errors,and these errors can accumulate over time,which makes it difficult to control the attitude accuracy.In order to solve the problems of gyro drift over time and random errors generated by the surrounding environment,this paper presents an attitude calculation algorithm based on wavelet neural network-extended Kalman filter(WNN-EKF).The wavelet neural network(WNN)is used to optimize the model and compensate the extended Kalman filter’s own model error.Through the semi-physical simulation experiment,the results show that the algorithm improves the accuracy of attitude calculation and enhances the self-adaptability to the environment.

Experimental infection of tree shrews(Tupaia belangeri) with Coxsackie virus A16

Coxsackie virus A16(CA16) is commonly recognized as one of the main human pathogens of hand-foot-mouth disease(HFMD). The clinical manifestations of HFMD include vesicles of hand, foot and mouth in young children and severe inflammatory CNS lesions. In this study, experimentally CA16 infected tree shrews(Tupaia belangeri) were used to investigate CA16 pathogenesis. The results showed that both the body temperature and the percentages of blood neutrophilic granulocytes / monocytes of CA16 infected tree shrews increased at 4-7 days post infection. Dynamic distributions of CA16 in different tissues and stools were found at different infection stages. Moreover, the pathological changes in CNS and other organs were also observed. These findings indicate that tree shrews can be used as a viable animal model to study CA16 infection.

Assessment of the Risk of Violence in Portuguese Psychiatric Settings Using the Broset Violence Checklist

The risk of violence in psychiatric settings implies the assessment of dynamic predictors to adjust nursing interventions. So as to identify the pattern of aggressive behaviors, assess the dynamic predictors of violence in hospitalized patients, and analyze the predictive qualities of the Brcset Violence Checklist （BVC）, an exploratory/descriptive study was conducted in psychiatric wards in Coimbra, Portugal. The instruments used were： the staff observation aggression scale-revised （SOAS-R）, visual analogue scale （VAS）, and the BVC. For the period of a month, 64 patients with a mean age of 29 years, unemployed, and with psychotic disorders were observed. In this group, 13 people displayed 15 aggressive behaviors of moderate severity, which had consequences for nurses; they were triggered by the denial of something through verbal aggression and controlled by non-restrictive measures. The most common predictors of violence were irritability and boisterousness. It was also concluded that the BVC shows good predictive characteristics （sensitivity and specificity） of violence, thus, it may be considered as a useful and effective instrument to assess the risk of violence and, consequently, to adjust nursing interventions to prevent this phenomenon.

Sixteen Years of Trastuzumab Use： Complete Response in Lung, Bone, and CNS Metastasis from Breast Cancer

Although metastatic breast cancer is considered as an incurable disease, various biological drivers influence the outcomes. The use of trastuzumab in patients overexpressing HER（human epidermal growth factor receptor 2）-2 increases long-term survival even in those patients who developed brain metastasis. Nevertheless, special attention must be paid to the risk of cardiotoxicity. We report the case of a young woman with HER-2-positive breast cancer with bone and lung disease who developed brain metastasis during treatment with trastuzumab. The treatment has been continued and she is alive and in complete remission after 16 years.

Current Situation of Chinese Medicine Combined with MSCs for the Treatment of the Neurovascular Unit Injury After Cerebral lschemia

Stroke has been a common problem in the global public health because of its high incidence,recur-rence,disability rate and mortality,among which ischemic stroke accounts for about 80%of the total stroke.Cerebral ischemia reperfusion injury(CIRI)is one of the most important pathological injuries after ischemic stroke,and the effective treatment has always been a research focus at home and abroad.The proposal of the concept of neurovascular unit(NVU)which extends treatment ideas from local to holistic is in accordance with the holistic concept and treatment based on syndrome differentiation in Chinese medicine.Chinese medicine has many advantages,such as being multicomponent,multitarget,and multipath while stem cells are effective biological therapeutic means,both of which have been proved to exert comprehensive and definite effects on NVU injury caused by CIRI.This artide reviews the molecular mechanisms of NVU injury and the cerebropro-tective effects of Chinese medicine monomers or compound formulas combined with MSCs on NUV injury after cerebral ischemia,with a view to provide a theoretical basis for future studies.

A high-performance liquid chromatography with fluorescence detection method for the simultaneous quantitation of monoamine neurotransmitters and their metabolites in subregions of rat brain

Abstract： In the presem study, we simultaneously quantified the levels of monoamine neurotransmitters （MANTs） and their metabolites （levodopa, norepinephrine, epinephrine, dopamine, 5-HT, 3,4-dihydroxyphenylacetic acid, homovanillic acid and 5-hydroxyindole-3-acetic acid） in different brain subregions of rats using a newly developed simple, sensitive and selective high-performance liquid chromatography with fluorescence detection （HPLC-FLD） method. In this new HPLC-FLD method, analytes were directly extracted and separated without deriveatization step within 20 min. The FLD wavelength was set at 280 nm and 330 nm for excitation and emission, respectively. The analytes were separated on an Agilent Eclipse Plus Cls column （4.6 mm×150 mm, 5.0 μm） equipped with an Agilent XDB-C18 security guard column （4.6 mm×12.5 mm, 5.0 lam）, and the column temperature was maintained at 35 ℃. The mobile phase for elution was isocratic. The mobile phase consisted of citric acid buffer （50 mmol/L citric acid, 50 mmol/L sodium acetate, 0.5 mmol/L octane sulfonic acid sodium salt, 0.5 mmol/L Na2EDTA and 5 mmol/L triethylamine, pH 3.8） and methanol （90：10, v/v） at a flow rate of 1.0 mL/min. The detection limit （DL） was 0.9-23 nM for all the MANTs and their metabolites with a sample volume of 50 μL. The method was shown to be highly reproducible in terms of peak area （intraday, 0.08%-1.85% RSD, n = 5）. The simultaneous measurement of these MANTs and their metabolites improved our understanding of the neurochemistry in the central nervous system （CNS） in relation to different addictive drugs （methamphetamine, heroin and their mixture） in drug-addicted rat models.

单身神向配偶神演变现象分析

单神向配偶神演变现象的发生与我国本土文化内涵息息相关;与自然哲学中宇宙观的阴阳互存生万物的观念分不开;天地万物的分化过程既是相互对立又相互转化。单神向配偶神的演化过程同样遵循这样的宇宙阴阳和合观。神之配偶神的演变方式与社会原因是文章所关注的要点。

Synchronization of two electrically coupled inspiratory pacemaker neurons

Synchronization is considered to be a crucial mechanism that maintains respiratory rhythm.For understanding the effect of electrical coupling on the transition of the firing patterns and synchronization,we coupled two inspiratory pacemaker neurons together,and studied various synchronous behaviors between them.We firstly compared the bifurcation diagrams between the coupled neurons and single neuron,and found that the coupled neurons had a more complicated bifurcation mode.By increasing the coupling strength,the regular variation of phase differences was illustrated so that asynchronous and some synchronous states could be observed.These synchronous states were also shown in detail by phase portraits and firing series.In addition,we explored the ranges of different synchronous states,which attributed to different ranges of membrane capacitance and coupling strength.