bluuebunny/crossref_metadata_2025 huggingface dataset:
Multipart Layer Node Deployment and Computational Technique with Finest Cluster Head Selection for Network Lifetime Enhancement
Authors: Susila S. G , Arputhavijayaselvi J
Published: May 2017

The continual research and development in wireless sensor networks, power is most vital resource because each sensor node has limited battery power. Numerous clustering concept routing protocols have been developed to balance and enhance lifetime of the sensor nodes in wireless sensor
networks. Available clustering routing protocols are select cluster heads periodically and they considered only how can select cluster heads energy-efficiently and the most excellent selection of cluster heads, without considering energy-efficient period of the cluster heads replacement. Herein
paper, it is employed different formulae in homogeneous merged layer node deployment system, which has a threshold-based cluster head selection mechanism for clustering routing protocols of wireless sensor networks. The proposed routing protocol is minimizes the number of cluster head selection
difficulty by using threshold of residual energy comparison. Reducing the amount of difficulty for cluster head selection procedure yields better life span of the whole sensor networks and it is compared with the available clustering routing protocols. In the proposed system of work, node
scheduling or activation techniques are also integrated and the obtained simulation results illustrate that the best to the obtainable clustering protocols in wireless sensor networks (WSNs).
Atom Bond Connectivity Index of Molecular Graphs of Alkynes and Cycloalkynes
Authors: Mohammed Mohanad A , Atan K. A , Khalaf A. M , Hasni R , Said M. R. Md
Published: May 2017

The atom-bond connectivity (ABC) index is one of the recently most investigated degree based molecular structure descriptors that have applications in chemistry. For a graph G, the ABC index is defined as ABC(G) =
 ∑  uv∈E(G)
    [ d v  + d
u  −2]/[ d v
  ·  d u  ],
    where du denotes the degree of a vertex u in G. In this paper, we establish the general formulas for the atom bond connectivity index of molecular graphs of alkynes and cycloalkynes.
Relay Assisted Effective Loss Recovery Technique for Wireless Sensor Network
Authors: Srinivasan G , Murugappan S
Published: May 2017

In wireless sensor network (WSN), the existing error recovery mechanisms do not concentrate on physical aspects such as error correction and coding. Also a complete balance needs to be maintained among the performance and energy tradeoff in order to prevent communication overhead. In
this paper, we propose a relay assisted effective loss recovery technique for WSN. In this technique, the relay nodes among the source and destination node is selected based on the parameters such as channel state information and combined score using a decentralized partially observable Markov
decision process. The combined score for each sensor is defined involving the parameters such as queue length, link bandwidth, MAC contention and residual energy. Then the low density parity check (LDPC) codes are used to encode and decode for performing error recovery. By simulation results,
we show that the proposed technique reduces the number of errors and also reduces the computational complexity while selecting the node for retransmission of packets at the destination without fail. Also the decision making can be done locally with low overhead.
On the Edges Version of Atom-Bond Connectivity Index of Nanotubes
Authors: Gao Wei , Husin Mohamad Nazri , Farahani Mohammad Reza , Imran Muhammad
Published: May 2017

The edge version atom-bond connectivity (ABCe) indices of graph G is defined as ABCe(G) =    ∑  ef∈E<mml:mo
stretchy="false">(L(G))
 ( d  L(G)
 (e)+ d  L(G<mml:mo
stretchy="false">)   (f)−2)/<mml:mo
stretchy="false">( d  L(G)
 (e)× d  L(G<mml:mo
stretchy="false">)   (f)),
  where dL(G)(e) denotes the degrees of an edge of line graph of G. The goal of this paper is to investigate ABCe index for some nanotubes.
Meta-Path Based Inductive Classification in Heterogeneous Information Networks
Authors: Ding Pingjian , Chen Xiangtao , Guan Zipin
Published: May 2017

The goal of inductive classification approaches is to infer the correct mapping from test set to labels, while the goal of transductive inference is to predict the correct labels for the given unlabeled data. Hence, the increased unlabeled samples can’t be classified by transductive
classification. In this paper, we focus on studying the inductive classification problems in heterogeneous networks, which involve multiple types of objects interconnected by multiple types of links. Moreover, the objects and the links are gradually increasing over time. To accommodate characteristics
of heterogeneous networks, a meta-path-based heterogeneous inductive classification (Hic) was proposed. First, the different sub-networks were constructed according to the selected meta-path. Second, the characteristic paths of each sub-network were extracted via the specified minimum support,
and were assigned appropriate weights. Then, Hic model based on characteristic path was built. Finally, the Hic scores of each classification label for each test sample was calculated via links between test samples and sub-networks. Experiments on the DBLP showed that the proposed method significantly
improves the accuracy and stability over the existing state-of-the-art methods for classification in dynamic heterogeneous network.
Some Properties of the Class of Univalent Functions Involving a New Generalized Differential Operator
Authors: Amourah A. A , Al-Hawary T , Darus M
Published: May 2017

The main purpose of this paper is to introduce new generalized differential operator Aμm, λ(α,β)f(z) defined in the open unit disc U = {z ∈ : |z| < 1}. We then, using this operator
to introduce novel subclass Ωm*(δ,λ,α,β,b) by using the operator Aμm, λ(α,β)f(z). Then, we discuss coefficient estimates growth and distortion theorems, closure
theorems and integral operator.
A Novel Approach of Energy Efficiency Based on Multiple Data Collector Placement for Wireless Seismic Sensor Network
Authors: Tong Xunqian , Fang Gengfa , Lin Jun
Published: May 2017

Since the geological environments are highly unpredictable and the battery capacity of seismometer nodes in the wireless seismic sensor networks (WSSN) is constraint, the lifetime of the network that using conventional single data collector may be dramatically reduced. Even with the
most energy-efficient algorithm that deploys multiple data collectors, it is still too difficult to satisfy the system requirement in terms of energy consumption. In this paper, we therefore propose an optimal solution that uses multiple data collectors to minimize the total energy consumption
of data transmissions in WSSN. The aim of this work is not only to determine how many data collectors are required, but also to find out how to place them in an effective way, so that the energy efficiency of the system can be further enhanced. In so doing, an optimal solution that is based
on the placement of multiple data collectors is proposed. A two-step approach is adopted, in which the number of required data collectors is firstly calculated based on a graph theoretic approach and then the placement of the data collectors are further optimized according to maximize the
network lifetime. The simulation analysis shows that with a given number of seismometer nodes, using the proposed algorithm, an optimal value can always be found to extend the WSSN lifetime. As the number of seismometer nodes are selected to be 200, 500, 800 and 1000, the lifetime of the WSSN
can be improved by 176%, 236.8%, 408.4% and 575%, respectively.
SOM-BP Neural Network-Based Financial Early-Warning for Listed Companies
Authors: Hong Yu , Sun Wei , Qianling Bai , Mu Xiaowei
Published: May 2017

To prevent and reduce corporate financial risks, this paper builds a financial early-warning model for listed companies based on a combination of SOM and BP neural networks focusing on short-term financial forecasting and monitoring. Firstly, SOM network is utilized to allow self-modification
of unit connection weights according to the feature information of input data and enable the weight vector distribution to be similar to the distribution of sample data, thereby obtaining relatively optimal training samples among all training samples. Then, a short-term financial early-warning
monitoring model is created through iterative BP training with the relatively optimal samples extracted as the input information of the BP neural network model. The results show that the proposed financial earlywarning system has higher recognition accuracy than the direct use of Logistic
model, BP model or SVM model in term of short-term forecasting and monitoring. Furthermore, our model requires less amount of data while ensuring the validity. Therefore, it can monitor financial crises in real time for listed companies, so as to effectively prevent and resolve their financial
risks and crises.
A Novel Sequential Monte Carlo-Probability Hypothesis Density Filter for Particle Impoverishment Problem
Authors: Cong-An Xu , Congqi Xu , Yunlong Dong , Wei Xiong , Yong Chai , Tianmei Li
Published: May 2017

As a typical implementation of the probability hypothesis density (PHD) filter, sequential Monte Carlo PHD (SMC-PHD) is widely employed in highly nonlinear systems. However, diversity loss of particles introduced by the resampling step, which can be called particle impoverishment problem,
may lead to performance degradation and restrain the use of SMC-PHD filter in practical applications. In this paper, a novel SMC-PHD filter based on particle compensation is proposed to solve the problem. Firstly, based on an analysis of the particle impoverishment problem, a new particle
compensatory method is developed to improve the particle diversity. Then, all the particles are integrated into the SMC-PHD filter framework. Compared with the SMC-PHD filter, simulation results demonstrate that the proposed particle compensatory SMC-PHD filter is capable of overcoming the
particle impoverishment problem, which indicate good application prospects.
Research on Application Scheme Design of Mathematical Optimization Wood Plastic Composites Furniture
Authors: Chen Yushu , Wu Zhihui
Published: May 2017

With the improvement of people’s living standard, furniture is not only functional, but also decorative. This paper aims to evaluate the design scheme of WPC furniture so as to find the weakness of the design scheme. The data acquisition of influencing factors of design scheme
is carried out in the form of questionnaire survey. In view of the seven influencing factors, the principal component analysis is carried out; and the relative importance of the seven influencing factors is obtained. Based on the analytic hierarchy process, seven factors as the criterion layer,
office furniture, kitchen furniture, bathroom furniture as the scheme layer, the design scheme of the three categories of furniture is studied. The results show that bathroom furniture should be taken as the optimization object, and the key point of optimization design should be the shape
and color of the furniture.
Correlation Model of the Impact of Human Activities Born by Resources and Environment on Ecological Economic Balance
Authors: Du Guoming , Du Jinpei , Wang Xiaodong , Guo Jinggang
Published: May 2017

Human activities are associated with the use of resources and environment; in order to study the huge challenge caused by the increasingly frequent human activities on the resources and environment, which affects the balanced economic development and their correlation, an evaluation
correlation model is established of the mutual effect of population factors and economic development. The human activities are mainly reflected changes in the total population, population age, sex structure, the cultural quality of the population and the balance of urban and rural development.
Under the premise of the use of environmental resources, a series of human activities caused the imbalance of economic development and a higher degree of correlation, so we can say that human activities promote the use of resources, and they are the core factors affecting the economic development.
K-Means Clustering Algorithms to Compute Software Effort Estimation
Authors: Nagarajan Shivakumar , Narayanan Balaji
Published: May 2017

Software development effort estimation is the way of predicting the effort to improve software economics. Accurate estimation of effort is the most tedious tasks in software projects. However, several methods are used to estimate the software development effort accurately. Imprecise
estimation can leads to project failure due to uncertain data. In this paper, a hybrid model based on combination of Particle Swarm Optimization (PSO), K-means clustering algorithms, neural network and ABE method is proposed. The proposed method can be useful to predict better clustering
and more accurate estimation and hence, there are difficulties in clustering and outliers in the software projects. The obtained results showed the better clustering result which provides the estimation result accurately. Then, neural network and Analogy methods are used which enhance the
accuracy significantly.
A Method for Interval-Valued Hesitant Fuzzy Multiple Attribute Decision Making and Their Application to Wireless Sensor Network Route Security Evaluation
Authors: Fu Wei , Li Ying-Mei , Liu Ming-Yu
Published: May 2017

Wireless sensor network, as an integrated network which can perform information gathering, processing and delivering, can connect the real world and logistic information world. It is greatly changing the interaction between people and nature. There are wide potential applications for
wireless sensor network, such as industry, agriculture, military affairs, environment monitoring, biomedicine, city managing and disaster succoring. The problem of evaluating the security of wireless sensor network route with interval-valued hesitant fuzzy information is the multiple attribute
decision making. In this paper, we extend the ELECTRE method to take into account interval-valued hesitant fuzzy information and propose the ELECTRE method to solve the multiple attribute decision making problems. Finally, a practical example for evaluating the wireless sensor network route
security is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Model of Optimal Contract Design on Credit Default Swaps
Authors: Yu Zu-Wei , Bin Deng , Shao Ji-Shu , Zhang Biao , Hu Hong-Wei
Published: May 2017

In this paper we examine the moral hazard of credit derivatives that made them the roll boosters of the financial crisis, and develop a model of optimal contract design on credit default swap transaction to review the function of the financial instruments and the optimal contract aiming
to control the moral hazard. The research presents that credit default swap transaction can optimize allocation of the credit risk, improve the bank’s return, and expanse channels of the investors. However, it reduces the bank’s efforts of monitoring credit assets, which accumulates
and increases credit risks. By introducing the partial protection mechanism, we obtain an optimal contract which could effectively control the moral hazard.
An Approach to Interval-Valued Intuitionistic Fuzzy Multiple Attribute Decision Making Based on the MSM Operator and Their Applications to Online Advertising Publisher Evaluation
Authors: Liang Xiaoli
Published: May 2017

The Maclaurin symmetric mean (MSM) was originally introduced by Maclaurin. The prominent characteristic of the MSM is that it can capture the interrelationship among the multi-input arguments. However, the researches on MSM are very rare, especially in fuzzy decision making. In this
paper, we investigate the MSM operator and extend the MSM operator to interval-valued intuitionistic fuzzy environment and develop the interval-valued intuitionistic fuzzy Maclaurin symmetric mean (IVIFMSM) operator. Some desirable properties and special cases of IVIFMSM operator are discussed
in detail. Based on IVIFMSM operator, an approach to multiple attribute decision making problems with interval-valued intuitionistic fuzzy information is developed. Finally, an illustrative example for online advertising publisher evaluation is given to verify the developed approach and to
demonstrate its practicality and effectiveness.
Curve Fitting Using Logarithmic Function for Sea Bed Logging Data
Authors: Daud Hanita , Razali Radzuan , Zaki M. Ridhwan O , Shafie Afza
Published: May 2017

The aim of this research work is to conduct curve fitting using mathematical equations that relate location of the hydrocarbon (HC) at different depths to different frequencies. COMSOL MultiPhysics software was used to generate models of the seabed logging technique which consists of
air, sea water, and sediment and HC layer. Seabed Logging (SBL) is a technique to find the resistive layers under seabed by transmitting low frequency of EM waves through sea water and sediment. As HC is known to have high resistivity which is about 30–500 Ωm, EM waves will be guided
and reflected back and detected by the receiver that are placed on the seafloor. In SBL, low frequency is used to obtain greater wavelength which allows EM waves to penetrate at longer distance and each frequency used has different skin depth. The frequencies used in this project were 0.5
Hz, 0.25 Hz, 0.125 Hz and 0.0625 Hz and the depths of the HC were varied from 1000 m to 3000 m with increment of 250 m. Data generated from COMSOL software was extracted for the set up with and without HC and trend lines using logarithmic functions were developed and R2 were
calculated for each equation and curve. The calculated R2 was compared between data with HC to no HC at each depth and it was found that the calculated R2 values were very well fitted for deeper HC depth. This indicates that as depth of HC is higher, it
is difficult to distinguish data with and without HC presence; and perhaps a new technique can be explored.
Study on the Relationship Between Technology Complex Degree and Technology Transitional Speed Based on Patents Information—The Case of PDP Industry
Authors: Yuming Xie , Yunfei Shao
Published: May 2017

This paper selects PDP industry technology development process as an analytical object, using means of patent analysis, to analyze the PDP industry,s technological track, the degree of technical complexity, technical transition rate to find a workable way of this industry for the management
of complex technologies. Through research we found that the complexity of the technology and technology transition is in the existence of a negative correlation. The degree of technical complexity increased with the expansion of technology networks and the speed of technological transition
has decreased. So for participation in R&D of complex technology businesses should focus on the development stage of a complex technology, and adjust technical R&D strategy timely.
Multi-Wheels are Cycle Anti-Supermagic
Authors: Cheema Imran Zulfiqar , Hussain Muhammad
Published: May 2017

A graph G(V,E) has an H-covering if every edge in E belongs to a subgraph of G isomorphic to H. Suppose G admits an H-covering. An H-magic labeling is a total labeling λ from V(G)∪E(G)
onto the integers {1, 2, …, |V(G)∪E(G)|} with the property that, for every subgraph A of G isomorphic to H there is a positive integer c such that   ∑A=
∑  v∈V(A)
 λ(V)+ ∑  e∈E<mml:mo
stretchy="false">(A)   λ(e)=c.
  A graph that admits such a labeling is called H-magic. In addition, if    {  λ<mml:mo
stretchy="false">(V)  }  veV
 ={  1,...,|V|
 },   then the graph is called H-supermagic. Moreover a graph is said to be H-(a,d) antimagic if the magic constant for an arithmetics progression
with initial value A and a common difference d. In this paper we formulate cycle c3 − (a, d) anti-supermagic labelings for the Multi-Wheels graph, supermagic labelings for disjoint union of isomorphic copies of Multi-Wheels graph and cycle (a,
d)-anti-supermagic labelings for Web graph.
Evaluation Study on the Network Impact Index of WeChat Based on Principal Component Analysis
Authors: Liu Yi
Published: May 2017

WeChat software is an important social tool in modern society. This paper discusses the network impact of WeChat from ten aspects including WeChat popularity, attention, video observability, network reputation, function usability, dissemination speed of information, transmission ratio
of positive energy and impact of WeChat on network economy, politics and culture, and questionnaires on these ten influence factors are distributed to college students for investigation. Principal component analysis is used to deal with the survey results, the principal components of the ten
factors are extracted, and the results show that WeChat popularity, attention, video observability, network reputation and function usability are the main components, in which WeChat popularity, attention and video observability are the factors having the greatest impact on the calculation.
And this paper presents the function relationship between the main principal components of WeChat network impact index and these ten influence factors, to evaluate the network impact index of WeChat.
Research of Library Knowledge Ecosystem Based on Complex Network
Authors: Liu Xiangju
Published: May 2017

The social sciences and natural sciences both has the achievement which many are worth using for reference mutually, the ecology by its unique charm gradually penetrate to the social sciences domain, has eagerly anticipated an academic upsurge. The knowledge ecosystem’s concept
was proposed from the view of knowledge management, and the knowledge ecosystem theory has introduced the library. In this paper the library knowledge ecosystem that is a special ecosystem was constructed through ecosystem’s fundamental theory and the characteristic, and the knowledge
distribution and the flowing rule of the library knowledge ecosystem was revealed based on complex network. In the library there were the knowledge individual who masters the different knowledge, the knowledge individual forms the knowledge population as a result of its knowledge similarity
and the specific goal, the different knowledge population as well as the periphery environment constituted the library knowledge ecosystem together. Therefore the library knowledge ecosystem was constructed using the complex network and analyses its topology characteristics to be possible
to provide a more perfect feasible frame for the library knowledge management fundamental research.
Study of Team Management and Performance with Linear Regression: A Empirical Study Based on 12 Step Method
Authors: Yu Jian , Xu Weichu , Rogers M
Published: May 2017

Teamwork skills have becoming an important asset that employees can bring into an organization. How to make employees work with other team members and make team effective is an important issue in business education. In order to make sense which factors in team management will help improve
team performance, we try to design a test among students. In this paper, we focus on using 12-step method to help business students acquire their teamwork skills and improve their team performance in class, and propose and examine several hypotheses on the relationship between 12-step and
their impact on team performance with a dataset collecting from university student teams. The results show that initial sharing, continuous sharing and feedbacks are positively associated with team performance, but expectation, equity and celebration are negatively associated with team performance.
The findings provide some insights about how to apply different steps in different environments, and show that some measures and steps should be paid more attention in training in a firm or other organizations.
Study of the Plural Evaluation Indicators System and Evaluation Model in Physical Education Teaching in Institution of Higher Learning
Authors: Wang Chao , Gao Nan
Published: May 2017

This thesis makes serious discussion about the existing problems facing the evaluation system on physical education teaching in general institutes of higher education combining with the laws of physical teaching in general institutes of higher and education and establishes a set of
new evaluation model on the physical education teaching in general institutes of higher education which is more comprehensive, manipulative and scientific.
Evidences from China: Impacts of Information Asymmetry, Budgetary Participation, Emphasis, Procedural Justice, Interactive Justice, Clarity and Difficulty of Budgetary Goals on Subordinate Manager Propensity of Creating Budgetary Slack
Authors: Zhang Yi , Song Xiaozhong , Zhao Sujie
Published: May 2017

Subordinate managers’ propensities of creating budgetary slack (PCBS) will induce the dysfunction of budget system. This paper analyzes the inducements of PCBS, including information asymmetry, budgetary participation, budgetary emphasis, procedural justice, interactive justice,
clarity and difficulty of budgetary goal, and tries to find out their ways affecting PCBS. On the basis of the researches of Dunk, Onsi, Kren, Kenis, Van der Stede, and Moorman and Kenis, we designed a 6-point 33-item Likert scale and formulated eight research variables and a control variable.
We have investigated data of 28 Chinese enterprises and gotten 269 valid samples. Our empirical evidences suggest PCBS is positively affected by information asymmetry and budgetary emphasis, and has been negatively affected by budgetary participation from single factor, and given high (low)
level of participation, high (low) subordinate-superior information asymmetry and high (low) emphasis on budget standards, PCBS is high (low). These conclusions support the theoretic hypothesis of Dunk’s and strengthen the notes of Dunk and Perera. However, our results are different
from the empirical result of Dunk and Chong et al. (2003). It is found that interactive justice is negatively related to PCBS, and difficulty of budgetary goal is positively related to PCBS.
Game Analysis of Inter-Organizational Knowledge Spillovers in Agricultural Supply Chain
Authors: Wei Zhou
Published: May 2017

In this research, Shuffled frog-leaping algorithm (SFLA) has long been considered as new evolutionary algorithm of group evolution, and has a high computing performance and excellent ability for global search. Knapsack problem is a typical NP-complete problem. For the discrete search
space, this paper presents the improved SFLA, and solves the knapsack problem by using the algorithm. Experimental results show the feasibility and effectiveness of this method.
The Construction of Economic Data Processing System Based on the Net Cluster Technology
Authors: Zhou Xuejun
Published: May 2017

In order to improve the efficiency in economic data processing, the construction of the data processing system based on the net cluster technology is proposed in this paper. As an important part of Statistic Data Warehouse, the Macro-economy Emulation System, which is based on statistic
data warehouse, is now being used on Government Decision Support System. Currently, the system is processing the emulation over the abundant national macro-economy data. It presents the building of Visual Macroeconomic Emulating System on Statistic Data Warehouse (SDWES), including data extraction
and check-up, data normalization, and a mechanism to support market analysis and forecast. The experiment shows this paper has a reference value for the application of net cluster technology in the construction process of economic data processing system which can also promote the overall performance
substantially.
A New Subclass of p-Valent Meromorphic Functions with Linear Operator
Authors: Chen Yan , Qin Chuan , Feng Jian-Zhong
Published: May 2017

In this paper, we define a new subclass of p-valent meromorphic functions Qp, mγ, λ(a, s; s, l; h) by using the linear operator Fp, m, γa, c, s, l which
defined by Hadamard product (or convolution). Some properties of the class isobtained with the help of meromorphic functions theories. We also derive many results for the Hadamard products of functions belonging to the class.
Anti-Cancer and Kinases Inhibitor Activities of Synthesized Heterocyclic Substituted Thiophene Fused with Cyclohexane Derivatives
Authors: Amr Abd El-Galil E , Ghanem Hassan Z , Al-Omar Mohamed A , Abdalla Mohamed M , Assy Mohamed G , Ragab Islam
Published: May 2017

We herein report the anti-cancer and kinases inhibitor activities of some synthesized heterocyclic substituted thiophene fused with cyclohexane derivatives (Fig. 1) were synthesized before. Sixteen of these compounds were conveniently screened for their in vitro cytotoxicity
against a wide range of cell lines, and showed potent activities against lung and leukemic cancer cell lines. The in vivo antilung and antileukemic cancers of the most active in vitro compounds was estimated and founded highly potent and compared to the standard drugs Bevacizumab
and Etoposide. In search for the mechanism of action of anticancer activities it was found that these compounds exert its action via sphingosine kinase inhibition and inhibition of p53 ubiquitination.
Ammann-Beenker Pixels
Authors: Li Jia , Bai Chenyan
Published: May 2017

We propose a new aperiodic pixel layout based on the Ammann-Beenker tiling. It is uniformly three-colorable and uses only two simple pixel shapes, making it advantageous over other irregular layouts for color imaging. The existing Penrose pixel layout, which is another aperiodic pixel
layout in rhombus Penrose tiling, also has the same properties. However, the Penrose pixel layout uses 36-degree and 72-degree rhombus pixel shapes, while the Ammann-Beenker pixel layout uses square and 45-degree rhombus pixel shapes. Hence the manufacture of Ammann-Beenker pixels is much
more feasible than that of Penrose. We evaluate the performance of Ammann-Beenker pixel layout with two problems: super-resolution and demosaicking. Experimental results show that Ammann-Beenker pixel layout outperforms square one and is highly competitive with Penrose one.
Neural Network Controlled High-Step Up Based Single-Phase PV Inverter System with Improved Dynamic Response
Authors: Bharathi M. L , Kirubakaran D
Published: May 2017

In AC utility closed loop high step up based single phase PV inverter system is preferred because of fast dynamic response. This paper deals with comparison of dynamic response of the PI and the neural network controlled single phase PV inverter systems. The DC output from the solar
cell is stepped up using a high step up converter and the output is converted into AC using an inverter. A change in the insolation is considered in the present investigation. Simulation studies are conducted using MATLAB. The closed loop control systems using the PI controller and the neural
network controller are investigated and their results are compared. The Simulink model for the above system are developed and they are successfully used for simulation studies. The hardware is fabricated, tested and the practical results matches with the simulation results.
Zigbee Based Energy Efficient LED Lighting System
Authors: Thenmozhi R , Sharmeela C , Natarajan P , Velraj R
Published: May 2017

In recent years high brightness LED lamps are opening up new opportunities of cost and energy saving towards variety of lighting applications. However they also require LED driver and control circuit compare to gas filled lamps when operating at input AC mains. Thus an efficient driving
circuit is essential for its optimal performance. In this paper a remote monitoring and controlling system based wireless sensor network is implemented for LED lighting according to the user’s state, which basically controls illumination intensity of a lighting device according to object
movement and brightness of surrounding. Then this system can extend communication capability to the existing street lighting system through the ZigBee and this idea will be very useful for subway, industries and household application to effectively reduce the power consumption.
Anti-Angiogenic Effects of Some (5-hydroxy-4-methyl-2-((1-methyl-1H-indol-3-yl)methyl)-Thieno[2,3-d] Pyrimidine Derivatives
Authors: Amr Abd El-Galil E , Abdalla Mohamed M , Ouf Nabil H
Published: May 2017

Some previously reported pyrimidine candidates 1–7 were founded to have potent tumor inhibition activities on diffrrent models of human primary and secondary brain tumors and in the same time these derivatives were founded to have potent anti-angiogenic effects on Ehrlich Ascites
Tumor [EAT] cells in-vivo. These pyridine derivatives were founded to be selectively inhibit the p110α isoform. These pyridine derivatives were potent inhibited the histone deactylase. Also, they are inhibited the Sphingosine kinase SK1 activities.
Novel Energy-Efficient Congestion Control Protocol in Wireless Networks Using Evolutionary Game Paradigm
Authors: Chitra P , Chandrasekaran M
Published: May 2017

In recent years, Wireless Network technology was designed for short distance communications like ZigBee, Bluetooth and Infrared Transmission. Congestion degrades the performance of the wireless network and also reduces the battery life of a mobile node. Congestion control is very much
essential in the transport layer to prevent performance degradation in a wireless network. Congestion control mechanism restricts the packet transmission rate with respect to the shared network resources. In this work, we designed a novel Energy-Efficient Congestion Control Protocol using
Evolutionary Game model (EECCP-EG) for reducing congestion in wireless network. The main objective of the EECCP-EG is stability analysis with different strategy spaces in a network in which losing strategies are eliminated and winning strategies are remain for stability. The proposed EECCP-EG
uses symmetric hawk-dove game to access the shared network recourse for preventing congestion in wireless network. In this, Evolutionary Stable Strategies (ESS) is used to change their strategies dynamically based on fitness value of winning resources and achieves equilibrium. The increase
or decrease in the rate of data transmission defines the aggressiveness of the symmetric hawk-dove game. The transmission control protocols (TCP) with an additive-increase multiplicative-decrease mechanism control the aggressiveness of the protocol. Simulation results show that the proposed
EECCP-EG scheme could significantly minimize the network traffic and there by reduce the congestion in the networks.
Adjustment of Regional Industrial Structure and Selection of Optimal Path Technology Under the Control of Environment
Authors: Liu Yi , Lee Philip
Published: May 2017

The analytic hierarchy model was established to analyze the main problem existing in industrial structure, and then according to the basic national conditions of China, which is serious environmental pollution, high energy consumption and low cost, we found out the solution according
with the Construction of China’s 11th five-year plan. We also researched particularly the mechanism of path selection and optimal of regional industrial structure under the control of environment, we found that the Adjustment of Regional Industrial Structure and Selection of Optimal
Path needed to accord their needs and technical support in the regions, combining the Structure and problems of local industrial structure to make adjustment programs. Last, according to the adjustment programs, we established the optimal adjustment path, it helped to protect the local environment
and promote economic growth.
Proteinase 3: the odd one out that became an autoantigen
Authors: Martin Katherine R , Witko-Sarsat Véronique
Published: May 2017

Neutrophils are critical in the defense against bacterial and fungal pathogens, and they also modulate the inflammatory process. The areas where neutrophils are studied have expanded from the restricted field of antibacterial defense to the modulation of inflammation and finally, to fine-tuning immune responses. As a result, recent studies have shown that neutrophils are implicated in several systemic autoimmune diseases, although exactly how neutrophils contribute to these diseases and the molecular mechanisms responsible are still under investigation. In a group of autoimmune vasculitides associated with anti-neutrophil cytoplasmic antibodies (AAVs), granulomatosis with polyangiitis (GPA) illustrates the concept that autoimmunity can develop against one specific neutrophil protein, namely, proteinase 3 (PR3), one of the four serine protease homologs contained within azurophilic granules. In this review, we will focus on recent molecular analyses combined with functional studies that provide clear evidence that the pathogenic properties of PR3 are not only a result of its enzymatic activity but also mediated by a particular structural element—the hydrophobic patch—which facilitates associations with various proteins and lipids and permits anchorage into the plasma membrane. Furthermore, these unique structural and functional characteristics of PR3 might be key contributors to the systemic inflammation and to the immune dysregulation observed in GPA.
German childhood services emphasise social pedagogy
Authors: Hohmann Ulrike , Campbell-Barr Verity
Published: May 2017

This series on international perspectives of ECEC is designed to offer a window into what is happening in other countries in the hope of fostering a process of reflection. This month, early years in Germany.
More to messy play than meets the eye
Authors: Gascoyne Sue
Published: May 2017

Messy play can be a great deal of fun, but as author, play therapist and early years researcher Sue Gascoyne discovered, there is so much more to messy play than meets the eye.
Looking beyond election pledges
Authors: Verrill Jo
Published: May 2017

Dr Jo Verrill, managing director, Ceeda, introduces About Early Years, a sponsored sector-wide research programme that aims to shape a childcare strategy that will support the life chances of every child.
Baseline looms as ideas run out
Authors: Merrick Beatrice
Published: May 2017

Government wants to scrap the flawed Key Stage 1 SATs – and introduce a worse system for four-year-olds that introduces baseline assessments that research has shown will have little forward relevance.
30 hours: This is the final countdown
Authors: Bayram Liz
Published: May 2017

If the 30-hours offer is going to work for parents, then childminders will be vital to the success of the roll-out. But they will need help in showing how they can deliver it and still sustain their business.
Sand is the staple of choice
Authors: Chapman Ailsa
Published: May 2017

We continue our series of articles that look at the possibilities for play and learning inherent in certain popular and common early years resources and materials – this month, we explore the wonders of sand!
Politics and palliative care: Liberia
Authors: Smyth Dion
Published: May 2017

Dion Smyth's review of palliative nursing on the internet
Meditação sobre a ruína das ruínas
Authors: Mantas Vasco Gil
Published: May 2017

As ruínas da cidade de Palmira, importantes pela história e estado de conservação, sofreram recentemente atentados de que resultou a perda de alguns dos seus monumentos mais relevantes. O motivo subjacente às destruições corresponde à prática de eliminação do passado por razões ideológicas, o que obriga a reflectir sobre a evolução política do Próximo Oriente e a considerar as consequências previsíveis do caos regional desenvolvido nos últimos anos.
A Web e o crowd-sourcing ao serviço da Papirologia
Authors: Carvalho Sofia Gil
Published: May 2017

Ancient Lives é um projeto pioneiro no domínio das Digital Humanities aplicadas à papirologia. Integrado na plataforma Zooniverse, desenvolvida pela Universidade de Oxford, o Ancient Lives propõe o uso de crowd-sourcing para otimizar e agilizar o processo de transcrição e tratamento de texto da coleção dos Papiros de Oxirrinco.
UNESCO on the Ground: Local Perspectives on Intangible Cultural Heritage (Foster and Gilman, eds)
Authors: Lloyd Timothy
Published: May 2017

This work is a book review considering the title UNESCO on the Ground: Local Perspectives on Intangible Cultural Heritage edited by Michael Dylan Foster and Lisa Gilman.
Collecting, Ordering, Governing: Anthropology, Museums, and Liberal Government (Bennett et al)
Authors: Petch Alison
Published: May 2017

This work is a book review considering the title Collecting, Ordering, Governing: Anthropology, Museums, and Liberal Government by Tony Bennett, Fiona Cameron, Nélia Dias, Ben Dibley, Rodney Harrison, Ira Jacknis, and Conal McCarthy.
Horace Poolaw: Photographer of American Indian Modernity (Smith)
Authors: Scherer Joanna Cohan
Published: May 2017

This work is a book review considering the title Horace Poolaw: Photographer of American Indian Modernity by Laura E. Smith.
Gods, Ghosts, and Ancestors as Reflected in Death Rituals in a Chinese Village
Authors: Chen Gang
Published: May 2017

Death rituals have played an important role in Chinese society for thousands of years. This article, based on ethnographic data collected in a village in Chongqing in southwestern China, reconstructs the sequence of preburial, funeral, and postburial rituals performed by the villagers. Then it discusses the belief system associated with these rituals, which includes traditional Chinese cosmology, the nature of ancestors, and the roles of feng shui. It concludes that the death ritual in this village helps people adjust to life in fast-changing, modern rural China.
A case of previously undiagnosed acute intermittent porphyria in a 34-year-old primigravida with gestational diabetes mellitus
Authors: Žebeljan Ivan , Anzeljc Veronika , Serdinšek Tamara , Mujezinović Faris
Published: May 2017

Porphyrias are very rare and easily overlooked diseases in pregnancy. Among these eight known metabolic disorders, acute intermittent porphyria (AIP) is the most common and most severe type. An enzymatic alteration in the haem biosynthesis pathway causes liver overproduction of neurotoxic toxic metabolites, which cause attacks of acute neurovisceral symptoms, severe abdominal pain and/or skin lesions. Women with AIP can sometimes develop their first acute attack during pregnancy, and because the symptoms are unspecific, the diagnosis is difficult to obtain and often missed. However, prompt diagnosis of AIP during pregnancy is crucial as treatment can significantly improve the pregnancy outcome. The backbone of the therapy is food rich with carbohydrates, complemented by 20% glucose infusion and adequate pain control. We present a case of previously undiagnosed AIP in a 34-year primigravida, whose treatment was especially challenging due to co-existing gestational diabetes mellitus and problems with the central venous catheter.
Does verruca vulgaris affect social anxiety and self-esteem in adolescents?
Authors: Unal Dilek , Cengiz Fatma Pelin , Emiroglu Nazan
Published: May 2017

Objective

Sensitivity about appearance is one of the sine qua non of adolescence and adolescents’ self-esteem effecting their socialization processes. We explored if verruca vulgaris, a common visible infectious skin disease, affects social anxiety levels and self-esteem in adolescents compared to controls. Also, the difference in sociodemographic properties between two groups and the effect of clinical properties (the distribution and number of warts) on these parameters were investigated in the patient group.

Materials and methods

The study group consisted 98 adolescents (49 controls and 49 patients) without other medical/psychiatric diseases. The Sociodemographic form (SDF), the Çapa Social Phobia Scale for Children and Adolescents (ÇCASPS) and the Rosenberg Self-Esteem Scale (RSES) were completed by both groups.

Results

There was no difference in social anxiety levels and self-esteem between the two groups. Also, the control and patient groups were found matched. However, lower self-esteem was the only factor that increased the risk for social phobia in the patient group.

Conclusion

Verruca vulgaris distributed in hands and face in adolescents were not found to be related with higher social anxiety and lower self-esteem. However, clinicians should monitor psychiatric symptoms and especially lower self-esteem should be taken into account.
Drosophila simulans: A Species with Improved Resolution in Evolve and Resequence Studies
Authors: Barghi Neda , Tobler Raymond , Nolte Viola , Schlötterer Christian
Published: May 2017

The combination of experimental evolution with high-throughput sequencing of pooled individuals—i.e., evolve and resequence (E&R)—is a powerful approach to study adaptation from standing genetic variation under controlled, replicated conditions. Nevertheless, E&R studies in Drosophila melanogaster have frequently resulted in inordinate numbers of candidate SNPs, particularly for complex traits. Here, we contrast the genomic signature of adaptation following ∼60 generations in a novel hot environment for D. melanogaster and D. simulans. For D. simulans, the regions carrying putatively selected loci were far more distinct, and thus harbored fewer false positives, than those in D. melanogaster. We propose that species without segregating inversions and higher recombination rates, such as D. simulans, are better suited for E&R studies that aim to characterize the genetic variants underlying the adaptive response.
POTENTIAL YIELD OF DEEP SEA SHRIMP RESOURCES IN THE SOUTHERN JAVA OF THE INDIAN OCEAN EEZ WATERS
Authors: Suman Ali , Rijal Muhammad , Bintoro Gatut
Published: May 2017

Study on the potential yield of deep sea shrimp in the south off Java waters (lndian Ocean) was carried out based on data collected from the survey conducted between May and June 2005 using Baruna Jaya IV research vessel. This study was basically conducted by applying swept area method.
Ten considerations for implementing effective and sustainable near-peer teaching in clinical anatomy education
Authors: Border Scott , Parton William , Myers Matthew , Elmansouri Ahmed , Harrison Charlotte , Stephens Jonny , Seaby Eleanor , Hall Samuel
Published: May 2017

This article was migrated. The article was marked as recommended. Near-peer teaching (NPT) is becoming increasing popular in medical education. The rationale and benefits of introducing such programs have been well documented and are usually described in terms of their advantages to the teacher, students and faculty. As a team that have successfully introduced two NPT anatomy programs in the last six years at the University of Southampton, we have taken a largely evidenced based approach in offering 10 considerations to ensure the implementation of a sustainable and effective NPT program in anatomical sciences. We have highlighted important aspects of NPT that will help maximise the benefit of such programs and emphasised particular areas where careful thought is necessary. We conclude that to safeguard sustainability and consistency of any given NPT program, faculty and student partnership is required, as is the maintenance of quality control and evaluative techniques.
Ranganathan's Five Laws and Tagore's Vision of Library: A Study
Authors: Ray Partha Pratim
Published: May 2017

Five Laws of Library Science are considered as bedrock of library science. Rabindranath Tagore's vision of library can be traced out from his numerous writings. It is observed from the study that main thrusts of both the great minds are to maximize use library collection. Philosophy behind Tagore's vision of library originates from his educational philosophy based on individual fullness which will lead to social fullness.
Selected Secondary School Libraries in Bangalore Urban District: A Status Report
Authors: Ramakrishnegowda K. C. , Suresh Kumar K. K. , Prithviraj K. R.
Published: May 2017

This paper presents the finding of a pilot study of the status of libraries in selectedsecondary schools of Bangalore urban district, Karnataka. The libraries at school level play an important role in developing and improving students mental ability as well as reading habit, but it is noted that secondary school libraries in Bangalore donot have basic facilities. Highlights the problems faced by school libraries in serving the needs of the students. Also indicates the lack of infrastructure facilities provided in the school libraries in government, aided and private schools.