Article
In this paper, a nonlinear model is proposed for improving the relationship between the size of a cluster and the variance within the cluster. This model describes the most appropriate functional relation between the within-cluster variance and the cluster size. Through this model, we can obtain the optimum size of a cluster and an estimate of the variance between clusters. The proposed model leads to further improvement in the estimation of the optimum size of a cluster, and the formula for
Alok Kumar Shukla,
Subhash Kumar Yadav
Statistics in Transition New Series , ISSUE 2, 189–200
Article
In-network data aggregation plays an important role on energy consumption from the point of reducing the amount of communication in cluster-based wireless sensor networks. The selection of cluster heads is usually based on two criteria which are the number of cluster heads network needed and the times of every node serving as the cluster head. Too much or too little cluster head number will shorten the network lifetime for the energy premature depletion of some sensor nodes, so it has a great
Mingxin Yang
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1935–1955
Article
Wearable equipment in recent years has been rapid development. But the hardware manufacturing complexity and the high cost is a real problem. This paper introduces a microprocessor cluster with both hardware design principle and related distributed software design methods. This cluster has the characteristics of low cost, high reliability, flexible hardware and software system structure, low power consumption, simple equipment manufacturing process and so on, especially suitable for wearable
Xin Liu,
Zhiqiang Wei
International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 27–32
Research Article
Clustering, an energy efficient approach is used in Wireless Sensor Network. Clustering involves cluster formation and Cluster Head Selection. As the Cluster Head is involved in carrying out the entire communication, a high energy node has to be selected as Cluster Head. In this paper, a novel predictive Fuzzy based Cluster Head selection algorithm is proposed. The proposal suggests a new input parameter, Rate of recurrent Communication apart from the standard parameters namely the Residual
Hemavathi Natarajan,
Sudha Selvara
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–8
Article
Cluster analysis of binary data is a relatively poorly developed task in comparison with cluster analysis for data measured on stronger scales. For example, at the stage of variable selection one can use many methods arranged for arbitrary measurement scales but the results are usually of poor quality. In practice, the only methods dedicated for variable selection for binary data are the ones proposed by Brusco (2004), Dash et al. (2000) and Talavera (2000). In this paper the efficiency of
Jerzy Korzeniewski
Statistics in Transition New Series , ISSUE 2, 295–304
Article
Big data storage management is one of the most challenging issues for Hadoop cluster environments, since large amount of data intensive applications frequently involve a high degree of data access locality. In traditional approaches high-performance computing consists dedicated servers that are used to data storage and data replication. Therefore to solve the problems of Disparateness among the jobs and resources a “Disparateness-Aware Scheduling algorithm” is proposed in the
E. Laxmi Lydia,
M.Ben Swarup
International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 34–46
Article
Perforation completion in oil and gas wells is the most important way of completion engineering, the optimization of perforation completion’s designing is influenced by a variety of factors. In order to get the ideal effect of perforation operation, in this paper, a Perforation plan-decision based on Grey Cluster Relation is putted forward. It aims to provide a scientific guidance for the Perforation. The simulation experimental results show that new models are effective, which offer one kind
Xue Jijun
International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 86–91
Article
This paper aims to propose a framework for optimizing performance in cluster-based wireless sensor networks (WSNs) with constrains of energy consumption, delay and connectivity. For the limitation of energy storage being discussed a lot, many researches try to find more solutions to improve it. But, the other index of wireless sensor networks may be deteriorated by many routings which are dedicated to optimizing energy consumption. Thereby, multi-objectives optimization is one of significant
Ting CAO,
Yuhao WANG,
Xinmin XIONG,
Yan HAO
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 2103–2118
Research Article
Cluster grouping, as an organisational strategy for gifted and talented education, has been discussed, implemented and researched in the United States for several decades. Outcomes have been positive, yet the potential benefits of this model for the New Zealand context remain largely unrecognised. Cluster grouping involves the placement of a group of gifted and talented learners in one or more classrooms in their respective year group, with the remainder of students heterogeneously grouped
Megan Biddick
Apex , ISSUE 1, 78–86
Article
A multi-cluster-head based clustering routing algorithm is researched and realized in order to achieve better balance the energy consumption of wireless sensor network nodes as well as promote the stability and extend the service life of the network. By taking cluster as the basic unit, it divides the wireless sensor network into multiple clusters, each of which includes a main cluster head node, an assistant cluster head node, a cluster management node and several ordinary nodes. The article
Jie Huang
International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 15–19
Research Article
, density of the route. The new and the existing indicators have been used to analyze and classify the metro networks. The statistical method cluster analysis has been applied to classify the networks. Ten indicators have been used to carry out an analysis. The metro systems in European capitals have been classified in three clusters. The first cluster includes large metro systems, the second one includes small metro networks whereas the third cluster includes metro networks with only one line. The
Svetla STOILOVA,
Veselin STOEV
Transport Problems , ISSUE 2, 35–48
Research Article
and cluster analysis has been applied to classify the stations. The factors have been classified into 4 components by the method of principal components. The stations have been classified into 6 groups using hierarchical cluster analysis. The methods, Average linkage between group and Within-groupslinkage, and distance-type measures Euclidean distance and Squared Euclidean distance were compared to verify the results of cluster analysis. The grouping of the stations has
Svetla STOILOVA,
Radina NIKOLOVA
Transport Problems , ISSUE 2, 143–155
Article
For the regression analysis of clustered data, the error of cluster data violates the independence assumption. Consequently, the test statistic based on the ordinary least square method leads to incorrect inferences. To overcome this issue,the transformation is required to apply to the observations. In this paper we propose an alternative matrix transformation that adjusts the intra-cluster correlation with Householder matrix and apply it to the F test statistic based on generalized least
Sukanya Intarapak,
Thidaporn Supapakorn
Statistics in Transition New Series , ISSUE 1, 153–174
Research Article
the network, even the cluster head is elected according to check their residual energy considerable amount of energy will drain automatically to overcome this drawback by considering the protocol a fuzzy logic approach is used to elect the cluster head based on three descriptors-energy, centrality & distance and second CH is elected according to TDMA to overcome the data lost during energy drain occur in the CH .NS-2 simulation shows that proposed protocol provides higher energy efficiency. This
G Vijayalakshmi,
M.Anto Bennet,
P. Shenbagavalli,
M. Vijayalakshmi,
S. Saranya
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 395–413
Research paper
The article addresses the measurement and identification problems covering particular social and economic areas (referred to as functions) in the regions of the country, based on the employment structure analysis and assessment by the sectors of the economy. The Herfindahl-Hirschman index was applied to measure sectoral concentration and Florence’s coefficient of localization to determine regional functional specialization. Finally, cluster analysis was conducted to produce the functional
Marek Obrębalski,
Marek Walesiak
Statistics in Transition New Series , ISSUE 2, 223–242
Research paper
This paper presents the impact of utilizing a biased energy distribution (BED) scheme for clustering sensor networks. In clustering sensor networks, some of the nodes are elected as aggregators and they compress the data from their cluster members before sending the aggregated data to the sink. Existing clustering routing protocols assume that all the nodes are provided with equal amount of energy but this shortens the network lifetime and makes the network unstable. This paper proposes a
A. F. Salami,
H. Bello-Salau,
F. Anwar,
A. M. Aibinu
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 161–173
Research Article
topology can be achieved by fitness model, so we designed an approximate clustering algorithm based on fitness model, which is distributed. CFM is composed of three phases: links generation phase, heads selection phase and cluster division phase. The performance of CFM algorithm was analyzed through simulation experiments, which indicated a well-constructed topology and effectively prolonged network lifetime.
Linfeng Liu,
Jiagao Wu,
Fu Xiao,
Ruchuan Wang
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 58–76
Research Article
The study deals with enhancing the reliability of freight cars by improving the corporate service system. Assessing of the quality of spare parts suppliers is discussed. An algorithm for supplier selection and an evaluation method, based on cluster analysis of indicators of supplier reliability, is proposed. Alternative developments for a service network, in view of expanding of the car fleet powered by natural gas-based fuel have been considered.АннотацияВ статье рассматриваются способы
Irina Makarova,
Rifat Khabibullin,
Eduard Belyaev,
Larisa Gabsalikhova,
Eduard Mukhametdinov
Transport Problems , ISSUE 1, 5–18
Article
Numerical taxonomy was used for identification and grouping of the genera, species, and populations in the families Merliniidae and Telotylenchidae. The variability of each of 44 morphometric characters was evaluated by calculation of the coefficient of variability (CV) and the ratio of extremes (max/min) in the range of 1,020 measured females. Also correlation and regression analyses were made between characters to find potential collinearities. Hierarchical cluster analysis (HCA
REZA GHADERI,
HABIBALLAH HAMZEHZARGHANI,
AKBAR KAREGAR
Journal of Nematology , ISSUE 2, 207–222
Article
: cluster analysis, k-means method, generalised distance measure GDM and interval taxonomic method TMI. The analysis was performed on the basis of HETUS data.
Marta Hozer-Koćmiel,
Christian Lis
Statistics in Transition New Series , ISSUE 2, 317–330
Article
identified. The considerations included in Table 3 reduce this number to 10 normalization methods. Next, the article discusses the procedure which allows separating groups of normalization methods leading to similar rankings of the set of objects separately for each composite indicator formula. The proposal, based on Kendall’s tau correlation coefficient (Kendall, 1955) and cluster analysis, can reduce the problem of choosing the normalization method. Based on the suggested research procedure the
Marek Walesiak
Statistics in Transition New Series , ISSUE 4, 693–710
Article
identified. The considerations included in Table 3 reduce this number to 10 normalization methods. Next, the article discusses the procedure which allows separating groups of normalization methods leading to similar rankings of the set of objects separately for each composite indicator formula. The proposal, based on Kendall’s tau correlation coefficient (Kendall, 1955) and cluster analysis, can reduce the problem of choosing the normalization method. Based on the suggested research procedure the
Marek Walesiak
Statistics in Transition New Series , ISSUE 4, 693–710
Article
with the maximum chance value becomes a cluster head (CH) based in three fuzzy parameters such as residual energy of each sensor node, closeness to base station (BS), and sum of distances between particular sensor node and other sensor nodes (area distance). The Simulation results of heterogeneous WSNs shows that our approach using fuzzy logic system always preserves more energy as compared to well-known protocols such as LEACH and SEP. additionally, we found that our approach SEFP outperforms
hassan EL ALAMI,
Abdellah NAJID
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2286–2306
Article
Hough transformation. Then, the global structure parameters are acquired through cluster analysis. Secondly, the grayscale image is divided into several detection regions (each of which includes one intersection point to be detected) in accordance to the obtained global structure parameters and the intersection points in the detection regions are accurately located using the ridge line fitting method. Finally, the intersection points in the left and right images are matched based on their
L. M. Yang,
A. H. Zhang,
D. M. Lin,
L. Zhu
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 256–273
research-article
Scutellonema truncatum (accession number: KX959308) were selected for COI mtDNA data set.
Cluster analysis and web-based key
The new species was compared with 103 described species, based on the tabular key of Castillo and Vovlas (2005). This was done using Hierarchical Cluster analysis implemented in the software Primer 6 (Clarke and Gorley, 2006) using Bray–Curtis similarity measure with the percent similarity between species defined by the average of the multiple characters. The 11 characters of 103
Huu Tien Nguyen,
Quang Phap Trinh,
Marjolein Couvreur,
Phougeishangbam Rolish Singh,
Wilfrida Decraemer,
Wim Bert
Journal of Nematology , 1–20
Article
Multi-hop Clustering is more preferred than the single-hop one because the transmission range of the Wireless Sensor Networks (WSN) nodes is not determined by the size of the network area. However, the multi-hop method brings a new problem related to the workload imbalance between the cluster-heads (CHs). Unequal Clustering becomes the most proposed solution of the unbalance load, but the calculation of the radius clusters still become a big challenge to achieve a maximum balancing degree. In
Amin Suharjono,
Wirawan,
Gamantyo Hendrantoro
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1808–1829
research-article
Structure-free vehicular ad-hoc networks (VANETs) exchange information through roadside units (RSUs) using IEEE 802.11p at 5.9 GHz. To make the journey experience safe and secure for the user, we need to ensure real-time information to road users on the highway or city scenario (S Al-Sultan et al., 2014; Schoch et al., 2008). Figure 1 indicates the basic communication module used for the propagation of information of the cluster to the end user. Cluster is required to overcome the issue of
Rajeev Kumar,
Dilip Kumar,
Dinesh Kumar
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–9
Article
cluster membership. Rated attractiveness and age were the strongest cluster correlates, whereas education and race were relatively uncommon determinants. In sum, daters’ interdependent actions created aggregate communities unseen by the users themselves, but no less influential for dating opportunities, that were based more on attractiveness and age than on race and education.
Diane H. Felmlee,
Derek A. Kreager
Journal of Social Structure , ISSUE 1, –
Research paper
a class of continuous posterior beliefs by Kullback–Leibler (KL) divergence, and cluster these posterior beliefs into one based on the error of KL divergence. So, we calculate the posterior reward value only once for each cluster to eliminate repeated computation. The numerical results show that the proposed algorithm has its effectiveness in optimizing the tradeoff between tracking performance and energy consumption.
Bo Wu,
Yanpeng Feng,
Hongyan Zheng
International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 628–641
Research Article
Outlier detection plays a crucial role in secure monitoring in Wireless Sensor Networks (WSN). Moreover, outlier detection techniques in WSN face the problem of limited resources of transmission bandwidth, energy consumption and storage capacity. In this paper, similar flocking model is proposed and a cluster algorithm based on similar flocking model (CASFM) is put forward to detect outliers in real-time stream data collected by sensor nodes. The similar flocking model improves the Vicsek model
Cheng Chunling,
Wu Hao,
Yu Zhihu,
Zhang Dengyin,
Xu Xiaolong
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 18–37
Research Article
prevalence. We also examined the relationship between measures of network centrality and child obesity prevalence. The overall structure of the network suggests that environmental features geographically co-occur, and features of the environment that were more highly correlated with body mass index were more central to the network. Three clusters were identified: a crime-related cluster, a food-environment and land use-related cluster, and a physical activity-related cluster. The structure of connections
Emily A. Knapp,
Usama Bilal,
Bridget T. Burke,
Geoff B. Dougherty,
Thomas A. Glass
Connections , ISSUE 1, 1–11
Research Article
down the data redundancy which is related to correlated sensor readings and using a probability model to efficiently compress data at the cluster heads. As in the case of sensor networks the data reliability goes down as the network resource depletes and these types of networks lacks any central synchronization making it even more a global problem to compare different reading at the central coordinator. The complexity of calibrating each sensor and using an adaptable measured threshold to correct
Vasanth Iyer,
Garimella Ram Murthy,
M.B. Srinivas
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 912–921
Research Article
Labor mobility, both as a mechanism of knowledge diffusion and as a kind of social glue that holds together small production communities operative within a given territory, deserves serious consideration. In this context, focusing on a specific industrial cluster in Ankara, this paper reveals the extent and characteristics of the social networks created by the mobile laborers in order to understand the interconnections between social context, knowledge spillovers, innovation and labor mobility
Burak Beyhan
Journal of Social Structure , ISSUE 1, 1–33
Research Article
R. Elankavi,
R. Kalaiprasath,
R. Udayakumar
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 174–185
Article
Xue Linyao,
Wang Jianguo
International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 9–16
Original Paper
Actinobacteria and Proteobacteria but a shift towards Proteobacteria was observed with increasing arsenic concentration, and number of Actinobacteria eventually decreases. PCA (Principle Component Analysis) plot of bacterial community composition indicated a distinct resemblance among high arsenic content samples, while low arsenic content samples remained separated from others. Cluster analysis of soil parameters identifies three clusters, each of them was related to the arsenic content. Further, cluster
Semanti Basu,
Tanima Paul,
Priya Yadav,
Abhijit Debnath,
Keka Sarkar
Polish Journal of Microbiology , ISSUE 2, 209–221
research-article
group consisted of populations from China and Japan with 100AU values (Fig. 8). This analysis demonstrated that the South African populations are very closely related to American populations. Moreover, the geographic pattern comprises of three continents with two of them (Africa and America) plotting completely separate from the Asian populations of P. hippeastri.
Figure 8:
Cluster dendrogram for different populations of P. hippeastri using morphometric data. Red values represent AU (approximated
Ebrahim Shokoohi,
Joaquín Abolafia,
Phatu William Mashela,
Nafiseh Divsalar
Journal of Nematology , 1–26
research-article
assumptions, nonparametric Friedman’s test was used. In all the analyses, P<0.05 was regarded as statistically significant.
In order to take a deeper insight into the changes of ERPs throughout the sessions, we compared ERPs between sessions, time point by time point, using nonparametric cluster based permutation analysis (Maris and Oostenveld, 2007). Monte Carlo correction for MCP (multiple comparison problem) was used by means of FieldTrip software, which is an open source Matlab toolbox for MEG, EEG
Karina Maciejewska,
Karolina Grabowska
Acta Neurobiologiae Experimentalis , ISSUE 4, 411–423
Research Article
Xiangyuan Yin,
Zhihao Ling,
Liping Guan
International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 523–547
Article
Andrzej PUCHALSKI,
Iwona KOMORSKA
Transport Problems , ISSUE 4, Part 1, 83–94
Article
Elżbieta Roszko-Wójtowicz,
Jacek Białek
Statistics in Transition New Series , ISSUE 1, 167–180
Research Article
scenarios. We present MILP formulation of the problem and the solution method based on exchange MILP heuristic. The cluster of each median is presented by rooted tree with the median as root. The performance of the proposed heuristic is compared to the optimal solution found via Gurobi solver for MILP models through some illustrative instances of Slovak road network in Ţilina.
Štefan PEŠKO,
Tomáš MAJER
Transport Problems , ISSUE 3, 125–130
Article
Central Statistical Office (Local Data Bank). Calculations were performed in R with packages spdep, maptools and shapefiles. The study demonstrated that the communes of Wielkopolska province of comparable levels of financial self-sufficiency exhibited a moderate tendency to cluster. Clusters of high levels gathered around larger urban centres, especially around Poznań, while clusters of low levels – in economically underdeveloped agricultural south-eastern and northern part of the province.
Agnieszka Kozera,
Romana Głowicka-Wołoszyn
Statistics in Transition New Series , ISSUE 3, 525–540
Article
confidence of the potential lane lines, and a K-means cluster algorithm is employed to localize the lane lines; Finally, a on board system is designed for experiment. The proposed system is shown to work well under various conditions on the roadway. Besides, the computation cost is inexpensive and the system's response is almost real time.
Xiaodong Miao,
Shunming Li,
Huan Shen
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 957–972
Article
degree of freedom (DOF) spatial partition; then the localization algorithm is proposed to coordinate multiple sensors nodes to achieve two DOF spatial partitions. To effectively solve the problem of WSN energy imbalance, a strategy of neighbor table multicast and an electoral method of the dynamic cluster head based on the biggest energy are presented in the distributed wireless sensor networks. The experiments show that the method proposed here has the advantages in high accuracy and strong anti
Baihua Shen,
Guoli Wang
International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1400–1418
Research Article
Abstract
This research aims at develop an MTB detection model from the FLVQ neural network to HGA-FLVQ model. In this research, the FLVQ method was developed through strengthening its initiation, in which the first cluster centers used as FLVQ input were optimized first by HGA. The results show that sensitivity and specificity of the HGA-FLVQ model reach 96.30 and 95.65%, whereas the sensitivity of an FLVQ method is 70.83%, and the sensitivity of an LVQ method is 87.50%. The specificity of an
N. Charibaldi,
A. Harjoko,
B. Hisyam
International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–13
Article
consecutive address prefixes and address codes of arbitrary length. IPV9’s unicast address has the following forms: aggregate global unicast address, decimal internet address and domain name decision and assignment organization address, IPX address, local IPV9 unicast address, and IPv4 compatible address.
The aggregatable global unicast address and cluster address belong to the unicast address. They are not different in form, but differ in the propagation mode of the message. Therefore, the aggregatable
Jiao Chong,
Jianping Xie,
Yinqiu Xu,
Hongwen Zhao
International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 39–47
Research Article
Wojciech Łukaszonek
Statistics in Transition New Series , ISSUE 2, 271–290
Article
with the requirements of the external environment. A multi-stage methodological approach was used. Selection criteria obtained from the systematic review of literature were first carefully analysed to find potential shortcomings. After that, a cluster method was used to reduce the number of criteria and to aggregate similar criteria. A Pareto analysis (75/25 rule) was further used to rank the criteria according to their frequency of use and consequently according to importance. The obtained
Patricija BAJEC,
Danijela TULJAK-SUBAN
Transport Problems , ISSUE SE, 157–168
Research Article
model and the widely-used TFIDF model are combined in the index construction and query generation. The proposed hierarchical approach clusters the documents based on the minimum relevance threshold, and then partitions the resulting clusters into sub-clusters until the constraint on the maximum size of cluster is reached. In the search phase, this approach can reach a linear computational complexity against an exponential size increase of document collection. In order to verify the authenticity of
A. Indhuja,
T.P.Udaya shankar,
R.M Balajee Mastan Vali Shaik,
P Sujatha
International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 539–559
original-paper
BO SHU,
JING YING,
TAO WANG,
MENGQIAN XIA,
WENYU ZHAO,
LING YOU
Polish Journal of Microbiology , ISSUE 1, 83–92
Article
original Australian type population. The 28S and 18S rRNA trees of Aphelenchoides and Laimaphelenchus species indicated L. heidelbergi failed to cluster with three other Laimaphelenchus species, including the type species of the genus. Therefore, we support a conservative definition of the genus Laimaphelenchus, and consider these populations to belong to Aphelenchoides, amended as Aphelenchoides heidelbergi n. comb. This is the first report of these nematode species from within
LYNN K. CARTA,
SHIGUANG LI,
ANDREA M. SKANTAR,
GEORGE NEWCOMBE
Journal of Nematology , ISSUE 1, 28–33
Article
/IP protocol cluster, the current version is IPv4 with 32-bit addresses. With the popularity of Internet applications, the limited address space defined by IPv4 has been exhausted. To expand the address space, the Internet Engineering Task Force (IETF) has designed the next generation IP protocol, IPv6, to replace IPv4. IPv6 redefines the address space, using a 128-bit address length that provides almost unlimited addresses. However, with the development and application of the Internet of things
Zhongsheng Wang,
Jianping Xie,
Zhao Lin,
Wei Zhong
International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 10–28
Original Paper
loss of dechlorination. Reductive dechlorination was confirmed by the stoichiometric dechlorination of 2,3DCP and 2,4,6TCP to metabolites with less chloride groups and by the detection of chlorophenol RD cprA gene fragments in dechlorinating cultures. PCR amplified cprA gene fragments were cloned and sequenced and found to cluster with the cprA/pceA type genes of Dehalobacter restrictus.
Wael S. El-Sayed
Polish Journal of Microbiology , ISSUE 3, 341–352
original-paper
sanguinis (AJ251778.1)
95
aBands are numbered according to Fig. 1.
bIdentity represents the sequence identity (%) compared with that in the GenBank database.
Multivariate analysis of DGGE profiles. UPGMA cluster analysis was used to examine relationships among the four Daqus (Yunita et al. 2018). Comparisons by the UPGMA cluster analysis (Fig. 1B) using the Dice correlation coefficient showed that Wuling Daqu and Deshan Daqu grouped first, and then clustered with Baisha Daqu and Niulanshan Daqu
YUXI LING,
WENYING LI,
TONG TONG,
ZUMING LI,
QIAN LI,
ZHIHUI BAI,
GUIJUN WANG,
JIAHAO CHEN,
YUGUANG WANG
Polish Journal of Microbiology , ISSUE 1, 27–37
book-review
diagnostic criteria for older children and adults is that the symptom clusters of avoidance and of negative alterations in cognitions and moods are combined into one cluster with a minimum requirement of one symptom out of six possible symptoms. Moreover, items in the developmentally modified subtype of PTSD criteria for preschoolers are described as more behavioral and observable markers of PTSD symptoms as compared to symptoms of internalized phenomena (24).
Assessment tools of PTSD in preschool
Sille Schandorph Løkkegaard,
Mette Elmose,
Ask Elklit
Scandinavian Journal of Child and Adolescent Psychiatry and Psychology , 39–51
research-article
. similis (having a stylet under 40 µm, four lateral lines, and with cuticular vulval flaps) clustered among other Paratylenchus species bearing stylet shorter than 40 µm in subclade IA, but P. teres (having a stylet longer than 40 µm, four lateral lines, and without cuticular vulval flaps) formed a sister cluster with P. wuae in a basal group to C. pestis and other Paratylenchus species in subclade IB; this basal group containing only long-stylet bearing species (Fig. 11).
Discussion
Different
Hossein Mirbabaei,
Ali Eskandari,
Reza Ghaderi,
Akbar Karegar
Journal of Nematology , 1–14
research-article
two high schools in each urban area (one for girls and one for boys) and three classes in each school. Finally, we chose 18 classes in six different high schools; a multi-stage randomized cluster sampling procedure was developed for solving the problem. In this sample, 226 students (53.2%) are girls and 199 of them are boys (46.8%). The average age of participants is 16.61 and the standard deviation is 0.95.
The research ethics committee at the University of Social Welfare and Rehabilitation
Mohammad Saeed Azami,
Farhad Taremian
Scandinavian Journal of Child and Adolescent Psychiatry and Psychology , 101–109
research-article
J. D. Eisenback,
L. A. Holland,
J. Schroeder,
S. H. Thomas,
J. M. Beacham,
S. F. Hanson,
V. S. Paes-Takahashi,
P. Vieira
journal of nematology , 1–16
Case report
Shaina McCaskill,
Scott Wise,
Sheila Tinsley
Immunohematology , ISSUE 3, 119–122
Article
Jana Cibulková,
Zdenek Šulc,
Sergej Sirota,
Hana Rezanková
Statistics in Transition New Series , ISSUE 2, 33–47