IMPACTS ON THE EXPRESSION OF VASCULAR ENDOTHELIAL GROWTH FACTOR IN ISCHEMIC BRAIN TISSUE TREATED WITH CLUSTER PUNC-TURE ON SCALP ACUPOINTS IN RATS

Objective To probe into the impacts on the expression of vascular endothelial growth factor （VEGF） in ischemic brain tissue treated with cluster puncture on scalp acupoints in rats, Methods 128 rats were randomized into pseudo-operation group, model group, scalp-needling group and cluster-needling group, In scalp-needling group, penetration method was used on the focal side from Bǎihuì （百会 GV20） to Qǔbīn （曲鬓 GB7）, and in cluster-needling group, penetration method was used on both sides from GV20 to GB7, and a common needling on GV 20. Needles were punctured 2 mm in depth, constantly rotated for 10min, retained for 2 h. Immunohistrochemical method was applied to determine VEGF expression and microvessel density （MVD）. Results With the intervention of cluster puncture on scalp acupoints, VEGF： expressions on every time-spot after ischemia were enhanced apparently, superior to those in scalp-needling group. On the three time-spots of the 7^th, 14^th and 21^st days, MVD was increased after cluster puncture on scale acupoints, superior to those in scalp-needling group. Conclusion Cluster puncture on scalp acupoints up-regulated VEGF expression and promoted regeneration of microvessel.

Research on Competitiveness of County Economy Based on Factor Analysis and Cluster Analysis——Taking 88 Counties in Guizhou as Samples

17 indices are selected,such as the growth rate of total regional output value,the proportion of tertiary industry in GDP,per capita financial expenditure,and soil erosion rate of Guizhou Province in 2009.According to the relevant indices data of statistical yearbook and governmental website,by using the method of factor analysis and the method of cluster analysis,we assess the competitiveness of county economy in 88 counties of Guizhou Province.The results show that the competitiveness of county economy in Guizhou Province is impacted by factors of location and economic foundation.In addition,the resources environment,economic structure,economic developmental speed and other factors also impact the competitiveness of county economy in Guizhou Province.Based on these,in the light of the developmental characteristics of different counties in conjunction with different developmental advantages in different regions,we should adopt different developmental strategies according to local conditions,which is significant to rapid,healthy and sustainable development of county economy in Guizhou Province.

Factor and Cluster Analysis on the Competitiveness of Agri-food Processing Industry in China

This paper establishes 13 evaluation indicators for the competitiveness of agri-food processing industry,uses factor analysis to evaluate the competitiveness of agri-food processing industry in 31 provinces(cities,autonomous regions)of China,and does cluster analysis to divide these regions into several categories according to the difference in competitiveness,in order to understand the level of competitiveness of agri-food processing industry in China.

Clustering Student Discussion Messages on Online Forumby Visualization and Non-Negative Matrix Factorization

The use of online discussion forum can?effectively engage students in their studies. As the number of messages posted on the forum is increasing, it is more difficult for instructors to read and respond to them in a prompt way. In this paper, we apply non-negative matrix factorization and visualization to clustering message data, in order to provide a summary view of messages that disclose their deep semantic relationships. In particular, the NMF is able to find the underlying issues hidden in the messages about which most of the students are concerned. Visualization is employed to estimate the initial number of clusters, showing the relation communities. The experiments and comparison on a real dataset have been reported to demonstrate the effectiveness of the approaches.

Factor and Cluster Analysis as a Tool for Patient Segmentation Applied to Hospital Marketing in Jordan

Hospital marketing is becoming important for the survival and the prosperity of the health service. In addition, it indirectly acts as a formal feedback channel for the customer requirements, preferences, suggestions and complaints. In this work we have undertaken a survey based marketing study for two main objectives: The first being to better understand the patient clusters through k-means clustering and the second to understand customer perception of the different known quality perspectives through factor rotated and unrotated analysis. All of the questionnaires were designed according to international studies. Based on general descriptive statistics, items classified with higher variance but important, are: clean environment, doctors and nurses capabilities, and specialized doctors. Items that are less important with low variance are: food type, lighting and insurance. Also, items classified as more important with low variance are: recommended, no mistakes, and the cost. Using factor analysis rotated and unrotated reduced the variables into five main variables described as: medical aspects, psychological aspects, cost aspects, hospital image and ease of access and procedures. Using k-means clustering, the customers can be clustered into four main clusters with two of them described as general patient with wide variety of interest, serious cases interested in specialized doctors and food, and very serious case with high stress on equipment, no mistakes.

The Heterogeneity and Its Influencing Factors of Soil Nutrients in Peak-Cluster Depression Areas of Karst Region

By selecting a typical peak-cluster depression area of karst region in Southwest China, we evaluated the effect of land use types and topographic factors on soil nutrients. Grid and line sampling methods were used to sample soil in depression and slope lands respectively, and classical statistical tools were applied to analyze the spatial variability character of soil organic carbon （SOC）, total nitrogen （TN）, total phosphorus （TP）, total potassium （TK）, available nitrogen （AN）, available phosphorus （AP）, available potassium （AK）, pH, and C/N. It was found that land use type was the dominant factor that effected the spatial heterogeneity of SOC, TN, TP, TK, AN, and AP. The content of SOC, TN, and AN decreased with the increase of land use intensity. Due to high fertilizer input, TP and AP in tillage fields were higher than those in the other land use types. TK had no obvious change trend among various land use types. Topographic factors had a significant effect on SOC, TN, TP, AN, AP, AK, and pH. Habitat factor was the dominant factor that effected AK. Altitude factor was the dominant factor for pH. However, all of these factors had no significant effect on C/N. Tillage practice had important effect on soil nutrients loss and soil degradation in the fragile karst ecosystem, and the input of organic manure should be increased in this region.

CORRELATION AMONG CORROSIVE FACTORS OF SOIL

In this paper, through the data treatment of correlation coefficients and the clustering technique of pattern recognition, both the matrix of correlation coefficients and the pedigree of factor clusters show that some factors affecting soil corrosivity are interrelated closely, and some independent relatively. The data analytical method used in this paper has certain assistance to the selection of major soil factors during the prediction and evaluation of soil corrosivity.

参薯ADP-ribosylation factor(ARF)基因的生物信息学分析

【目的】对参薯等11种植物的ARF基因进行生物信息学分析,为深入研究植物ARF基因的结构与功能分析奠定基础。【方法】对参薯ARF同源序列进行克隆和序列测定,利用生物信息学相关软件对参薯等11种植物的ARF的核苷酸序列、氨基酸序列、组成成分、疏水性/亲水性、蛋白质二级和三级结构、信号肽、跨膜结构、导肽进行分析。【结果】参薯ARF基因同源片段大小为1200bp。系统进化分析结果表明,参薯等11种植物的ARF氨基酸序列可分为Ⅰ和Ⅱ两大类,细分A、B、C、D、E5个亚族,其中参薯ARF1和蒺藜苜蓿组成一个亚族,参薯ARF2和风信子组成一个亚族。参薯ARF的氨基酸序列中存在GTP/Mg2+结合位点和G2、G3保守区域,具有两个相同的效应结构域Switch1和Switch2。参薯ARF蛋白结构以无规则卷曲为主,三级空间结构不稳定。ARF蛋白为疏水性、脂溶性蛋白,无信号肽,存在明显跨膜结构域;ARF导肽无明确定位,预测等级为3级。【结论】参薯ARF蛋白结构的特殊性为其执行物质转运和参与信号转导功能奠定基础。

A Coverage-Aware Unequal Clustering Protocol with Load Separation for Ambient Assisted Living Based on Wireless Sensor Networks

Ambient Assisted Living(AAL) is becoming an important research field. Many technologies have emerged related with pervasive computing vision, which can give support for AAL. One of the most reliable approaches is based on wireless sensor networks(WSNs). In this paper, we propose a coverage-aware unequal clustering protocol with load separation(CUCPLS) for data gathering of AAL applications based on WSNs. Firstly, the coverage overlap factor for nodes is introduced that accounts for the degree of target nodes covered. In addition, to balance the intra-cluster and inter-cluster energy consumptions, different competition radiuses of CHs are computed theoretically in different rings, and smaller clusters are formed near the sink. Moreover, two CHs are selected in each cluster for load separation to alleviate the substantial energy consumption difference between a single CH and its member nodes. Furthermore, a backoff waiting time is adopted during the selection of the two CHs to reduce the number of control messages employed. Simulation results demonstrate that the CUCPLS not only can achieve better coverage performance, but also balance the energy consumption of a network and prolong network lifetime.

Equilibrium and kinetic Si isotope fractionation factors and their implications for Si isotope distributions in the Earth's surface environments

Several important equilibrium Si isotope fractionation factors among minerals,organic molecules and the H_4SiO_4 solution are complemented to facilitate the explanation of the distributions of Si isotopes in Earth's surface environments.The results reveal that,in comparison to aqueous H_4SiO_4,heavy Si isotopes will be significantly enriched in secondary silicate minerals.On the contrary,quadra-coordinated organosilicon complexes are enriched in light silicon isotope relative to the solution.The extent of ^(28)Si-enrichment in hyper-coordinated organosilicon complexes was found to be the largest.In addition,the large kinetic isotope effect associated with the polymerization of monosilicic acid and dimer was calculated,and the results support the previous statement that highly ^(28)Sienrichment in the formation of amorphous quartz precursor contributes to the discrepancy between theoretical calculations and field observations.With the equilibrium Si isotope fractionation factors provided here,Si isotope distributions in many of Earth's surface systems can be explained.For example,the change of bulk soil δ^(30)Si can be predicted as a concave pattern with respect to the weathering degree,with the minimum value where allophane completely dissolves and the total amount of sesquioxides and poorly crystalline minerals reaches their maximum.When,under equilibrium conditions,the well-crystallized clays start to precipitate from the pore solutions,the bulk soil δ^(30)Si will increase again and reach a constant value.Similarly,the precipitation of crystalline smectite and the dissolution of poorly crystalline kaolinite may explain the δ^(30)Si variations in the ground water profile.The equilibrium Si isotope fractionations among the quadracoordinated organosilicon complexes and the H_4SiO_4solution may also shed light on the Si isotope distributions in the Si-accumulating plants.

A Fast Multi-tasking Solution: NMF-Theoretic Co-clustering for Gear Fault Diagnosis under Variable Working Conditions

Most gear fault diagnosis(GFD)approaches su er from ine ciency when facing with multiple varying working conditions at the same time.In this paper,a non-negative matrix factorization(NMF)-theoretic co-clustering strategy is proposed specially to classify more than one task at the same time using the high dimension matrix,aiming to o er a fast multi-tasking solution.The short-time Fourier transform(STFT)is first used to obtain the time-frequency features from the gear vibration signal.Then,the optimal clustering numbers are estimated using the Bayesian information criterion(BIC)theory,which possesses the simultaneous assessment capability,compared with traditional validity indexes.Subsequently,the classical/modified NMF-based co-clustering methods are carried out to obtain the classification results in both row and column tasks.Finally,the parameters involved in BIC and NMF algorithms are determined using the gradient ascent(GA)strategy in order to achieve reliable diagnostic results.The Spectra Quest’s Drivetrain Dynamics Simulator gear data sets were analyzed to verify the e ectiveness of the proposed approach.

Systematics of a-preformation factors in closed-shell regions

The a-preformation factors of medium and heavy-mass nuclei are calculated by using the cluster-formation model.The obtained preformation factors of even–even,odd-A,and odd–odd nuclei consist in both magnitude and trend with the general features predicted by standard calculations.The variation of a clustering affected by the evolution of nuclear structure is observed from different behaviors of preformation factors.We typically analyze the variation of preformation factors in the closed-shell N =126 and Z =82 regions,and discuss in detail the structural effects on a-cluster formation.This work shows the strong correlation between a-preformation factors and the shell structure,which would be a useful reference for microscopic cluster-model calculations of a-decay half-lives.

A Cluster Analysis of Lifestyle and Health Habits of Youth from Two Geographically and Culturally Diverse Countries

Objectives: Obesity is a leading risk factor for global mortality, promoted by poor dietary habits and sedentary behaviour. This study explores the clustering and differences in dietary habits, body mass index (BMI) and physical activity (PA) amongst youth from United Kingdom (UK) and Saudi Arabia (SA). Methods: 2290 males and females aged 15-17 years completed a self-report questionnaire and an objective measure of BMI. Results: Youth from SA had a higher prevalence of overweight/obesity and lower levels of PA than youth from the UK. Males were more physically active than females across both countries. Three clusters were identified: a “high risk” cluster with least healthy dietary habits, low PA and high BMI;a “moderate cluster” with moderate healthy dietary habits, PA and BMI;a “low risk” cluster with healthiest dietary habits, greatest PA and the lowest BMI compared to the other clusters. There were more SA youth in the high and moderate risk clusters compared to UK youth. Conclusions: Exploring cross-cultural and demographic characteristics of youth enables the identification of similarities and differences that might lead to the development of universal intervention strategies.

数据-知识融合的水利工程建设安全风险灰色因子分解机预测模型

【目的】已有的数据驱动的水利工程建设安全风险预测方法对领域知识的挖掘和利用不足,预测结果的准确性和可解释性有待进一步提高。为了构建数据-知识融合的水利工程建设安全风险预测模型,【方法】将灰色聚类与因子分解机相结合,提出了一种融合领域知识的灰色因子分解机。首先,引入基于可能度函数的灰色聚类表征水利工程建设领域专家有关安全风险的先验知识。然后,将先验知识以参数的形式嵌入到因子分解机中,构建出数据-知识融合的灰色因子分解机。最后,基于随机梯度下降构造模型参数的求解算法,并结合实例对模型的有效性进行验证。【结果】实例应用结果显示,与传统因子分解机相比,灰色因子分解机的准确率、精确率、召回率和F_(1)值均得到了不同程度的提升。与支持向量机、深度因子分解机等其他基准模型相比,灰色因子分解机同样具有更好的预测性能。【结论】这表明,数据-知识融合驱动的灰色因子分解机模型能够更加准确地预测出安全风险,从而为水利工程建设安全风险管控提供更好的决策支持。

Spatial Distribution of <i>Anopheles sinensis</i>and Its Relationship with Natural Environmental Factors in Wanning County on Hainan Island, China

Anopheles sinensis is widely distributed in Wanning County, it is necessary to understand the spatial distribution characteristics of Anopheles sinensis in order to maintain the elimination of malaria in Wanning. During May and October 2009, we sampled adult mosquitoes at 36 villages within Wanning County on Hainan island, and collected meteorological and geographical data at each sampling site. We used these data to analyze the spatial distribution of adult Anopheles sinensis mosquitoes, and logistic regression analysis was applied to explore the association of the spatial distribution of Anopheles sinensis with the geographical and meteorological factors. We found that the density of Anopheles sinensis showed a significant positive spatial correlation. From May to October, on the whole, the high-density area was located in the central part of Wanning County. But each month there was a relatively high-density cluster, and their location and range were not exactly the same. From east to west, the density of Anopheles sinensis increased initially and then decreased, but from south to north, there were different trends in the periods of May to August and September to October. Logistic regression analysis showed that the main environmental factors related with the distribution of Anopheles sinensis were land use type, soil type, distance to road, air pressure and relative humidity. These analysis results showed that the distribution of Anopheles sinensis had obvious spatial heterogeneity in Wanning County, which was related with geographical and meteorological factors. The mechanism of these environmental factors on the distribution of Anopheles sinensis needs to be further studied.

A Research on Competitiveness of Guangxi City——Based on System Clustering Method and Principal Component Analysis Method

A total of 10 indices of regional economic development in Guangxi are selected.According to the relevant economic data,regional economic development in Guangxi is analyzed by using System Clustering Method and Principal Component Analysis Method.Result shows that System Clustering Method and Principal Component Analysis Method have revealed similar results analysis of economic development level.Overall economic strength of Guangxi is weak and Nanning has relatively high scores of factors due to its advantage of the political,economic and cultural center.Comprehensive scores of other regions are all lower than 1,which has big gap with the development of Nanning.Overall development strategy points out that Guangxi should accelerate the construction of the Ring Northern Bay Economic Zone,create a strong logistics system having strategic significance to national development,use the unique location advantage and rely on the modern transportation system to establish a logistics center and business center connecting the hinterland and the Asean Market.Based on the problems of unbalanced regional economic development in Guangxi,we should speed up the development of service industry in Nanning,construct the circular economy system of industrial city,and accelerate the industrialization process of tourism city in order to realize balanced development of regional economy in Guangxi,China.

Temperature Dependence of the Static Structure Factor of the Non－simple Liquid Metal， Cd

Report a calculation or the static structure factors at any temperature for the non-simple liquid metal Cd by the method or model parameter based on the hard sphere cluster(HSC)model.In comparison with available experimental data,the theoretical results are in good agreement with experiments.

基于色彩聚类的老年病房色彩设计研究

目的基于感性工学理论,以K-Means色彩聚类为基础获取老年病房患者的色彩感性意象评价。方法首先搜集并筛选现代医院老年病房设计案例,通过K-Means聚类方法进行色彩提取以建立老年病房色彩样本库;其次运用语义差异法量化老年病房色彩的感性意象认知,再将所得评价结果运用SPSS软件进行因子分析;最后,提取影响色彩意象评价的主因子,并探讨各感性意象与色彩样本之间的对应关系。结果通过量化老年病房患者的色彩感性意象认知,可知老年患者更倾向于选择中高明度、暖色调的色彩作为病房空间的主要色彩。结论该流程能获取科学、客观的色彩搭配方案,并有助于缓解老年患者的疾病压力,促进康复过程,同时也为医疗环境设计领域提供了新的思路和方法。

Partition-based Collaborative Tensor Factorization for POI Recommendation

The rapid development of location-based social networks(LBSNs) provides people with an opportunity of better understanding their mobility behavior which enables them to decide their next location.For example,it can help travelers to choose where to go next,or recommend salesmen the most potential places to deliver advertisements or sell products.In this paper,a method for recommending points of interest(POIs)is proposed based on a collaborative tensor factorization(CTF)technique.Firstly,a generalized objective function is constructed for collaboratively factorizing a tensor with several feature matrices.Secondly,a 3-mode tensor is used to model all users' check-in behaviors,and three feature matrices are extracted to characterize the time distribution,category distribution and POI correlation,respectively.Thirdly,each user's preference to a POI at a specific time can be estimated by using CTF.In order to further improve the recommendation accuracy,PCTF(Partitionbased CTF) is proposed to fill the missing entries of a tensor after clustering its every mode.Experiments on a real checkin database show that the proposed method can provide more accurate location recommendation.

成人脑胶质瘤患者症状群、症状困扰现状调查及影响因素分析

目的调查成人胶质瘤患者术前和术后症状群变化特点,并分析引起症状群加重的危险因素。方法选取2021年10月—2023年2月于我院就诊的81例脑胶质瘤患者,参考中文版安德森症状评估量表(MDASI-BT)对患者术前、术后1周和术后1个月的症状群进行调查,并评估症状的严重程度。将严重程度评分≥5分的患者作为严重组,<5分的患者作为非严重组,进行单因素和二元Logistic回归分析,筛选症状群加重的独立危险因素。结果一般症状群中,术前发生率最高的为苦恼,严重程度评分最高的为疼痛;术后1周发生率最高的为疼痛,严重程度评分最高的为嗜睡;术后1个月发生率最高的为疲乏,严重程度评分最高的为不安。脑肿瘤特异性症状群中,术前发生率最高的为癫痫,严重程度评分最高的为注意力不集中;术后1周发生率最高的为注意力不集中,严重程度评分最高的为半边身体虚弱无力;术后1个月发生率最高的为腹泻或便秘,严重程度评分最高的为注意力不集中;干扰项目中,术前、术后1周和术后1个月,一般症状群和脑肿瘤特异性症状群干扰患者最多的均为情绪。二元Logistic回归分析表明,脑胶质瘤患者家庭收入<6万元/年[OR=3.299,95%CI(1.103,9.872)]、肿瘤病理分级Ⅲ~Ⅳ级[OR=3.349,95%CI(1.198,9.363)]及KPS评分≤70分[OR=3.234,95%CI(1.155,9.057)]是症状群加重的独立危险因素(P<0.05)。结论临床护理人员应结合脑胶质瘤患者症状群在不同治疗阶段的轨迹变化采取针对性护理干预措施,同时应对存在症状群加重危险因素的患者给予重点关注。