bluuebunny/crossref_metadata_2025 huggingface dataset:
Probabilistic Outputs for Multiclass Support Vector Machines Based on M-Ary Classification
Authors: Zhang Wenbo , Ji Hongbing , Liao Guisheng , Su Zhenzhen
Published: May 2017

To obtain a more overall and accuracy result, a method of probabilistic outputs for multiclass support vector machines based on M-ary classification (POSVM) is proposed in this paper. Comparing with the conventional hard decision multiclass support vector machines (SVMs), the proposed
method can reserve almost all the information contained in the samples, which is more beneficial for the post-processing. Furthermore, the conventional one-against-one method requires K(K − 1)/2 SVMs to partition K classes, whereas the proposed method only requires
⌈log2 K⌉ SVMs for the same problems. In addition, for the cases where the classes are of different importance, a weighted SVM (WSVM) based on POSVM is proposed, which can obtain more reasonable results in the pattern recognition applications. The experimental
results show that the proposed method provides a more overall and accuracy result than the conventional multiclass SVMs, and that it can be achieved easily by organizing a set of SVMs with a simple structure, especially for the problems with large number of classes. On the other hand, the
results of the WSVM method are more logical and efficient than those of the POSVM, and the different classification rules can be designed by changing the weights according to the different cases. Therefore, the complexity of implementing weighted classifiers can be greatly reduced, and the
design process is more flexible.
Research on Transient Electromagnetic Field Model of High Speed Permanent Magnet Brushless DC Motor Based on the Theory of Constant Electromagnetic Field
Authors: Jinrui Fan , Hong Li , Yongjie Ding , Daren Yu , Dong Li
Published: May 2017

The development of ultra-high speed motor is the development direction of the information industry in the future, and it is also the important guarantee for the production efficiency. Objective: To study the working model of the electromagnetic field of the permanent magnet brushless
DC motor in the condition of constant electromagnetic field. Methods: Based on the theory of constant electromagnetic field, the model of a high speed permanent magnet brushless DC motor is derived. Process: Combined magnetic circuit calculation method and finite element method of electromagnetic
field, and then use the mathematical model to calculate the electromagnetic. Finally, by using the model simulation to verify its practicability. Conclusion: The inhibiting effect of the ring structure rotor pole and cogging torque ripple can meet the requirements of high-speed motor mechanical
and electromagnetic performance, meanwhile, the motor has a good performance in this way. So, it can provide reference for the construction of the transient electromagnetic field model of high speed permanent magnet brushless DC motor in the future.
On Topological Properties of 2-Dimensional Lattices of Carbon Nanotubes
Authors: Hayat Sakander , Shafiq Muhammad Kashif , Khan Asad , Raza Hassan , Siddiqui Hafiz Muhmmad Afzal , Iqbal Naveed , Rehman Jamshaid Ul
Published: May 2017

Topological descriptors are the most important numerical quantities in the fields of mathematical chemistry and nanotechnology. These numerical descriptors are based on the topology of the atoms and their bonds (chemical conformation, quaternary structure). Local-valency/degree based
topological descriptors/indices are of vital importance due to their specific chemical significance. These numerical invariants are the most successful molecular descriptors in structure-property and structure-activity relationships studies. A nanostructure is an object of intermediate size
between molecular and microscopic structures. It is a product derived through engineering at the molecular scale. The most important of these new materials are carbon nanotubes. They have remarkable electronic properties and many other unique characteristics. Carbon nanosheets are 2-dimensional
lattices of carbon nanotubes. To compute and study topological indices of nanostructures is a respected problem in nanotechnology. In this paper, degree based topological indices of certain carbon nanosheets are strong-minded. We formulate an important conjecture at the end of this article.
An Unconditionally Stable Method for Solving the Heat Conduction Equation Using Laguerre Polynomials
Authors: Zhang Di , Miao Xiao-Ping
Published: May 2017

In this work, an unconditionally stable method for solving the heat conduction equation is proposed. In the equation, the temperature field and its first order time derivatives are expanded by the Laguerre polynomials and weighting functions. By applying a Galerkin temporal testing
procedure to the finite difference format, the time-step limitation can be eliminated in the process of computation and one can obtain an equation under no convergent conditions. To verify the efficiency and the accuracy of this presented method, we compare the numerical results of the presented
method with the finite difference method (FDM) and the alternating direction implicit (ADI) method. The comparison results show that the proposed method has great advantage in efficiency while maintaining high accuracy when solving a heat transfer problem in a complex media with fine structure.
Rapid Pedestrian Detection Based on Motion Information and Static Low-Level Feature
Authors: Yingjun Jiang , Jianxin Wang , Kehua Guo
Published: May 2017

This thesis introduces a pedestrian detection algorithm of medium-low resolution rate in complicated environment. This method uses quick feature pyramid to extract static pedestrian pattern and calculates pedestrian motion feature through Rectangular Block Pixel Mean Value of Difference,
and finally fusions both patterns at the stage of classification and identification. With False Positive per Image (FPPI) being 1 and false detection ratio being 14%, this method proves to be effective in reducing the out ratio.
Study on Financial Investment and Cultural Industry Structure Optimization Under Mechanism Analysis Method
Authors: Li Feng , Feng Genfu
Published: May 2017

Through establishing group decision-making hierarchical structured model, this paper studies the obstacles in the development of cultural industry, and analyzes the main reasons for the existence of obstacles, and obtains methods to eliminate the obstacles in the development of cultural
industry, namely, to reasonably construct development and management plan of cultural industry, to build sound cultural industry chain around a special core point, to establish a complete financial investment system through competition, that the government should strengthen the intervention
and develop relevant policies and to pointedly cultivate relevant talents. And then through mechanism analysis method, this paper identifies the macro correlation between financial investment and cultural industry structure.
The Effects of Abscisic Acid on Photosynthesis in Tomato Under Sub-High Temperature and High Light Stress
Authors: Gang Shuang , Liu Yufeng , Lu Tao , Qi Mingfang , Guan Xiaoxi , Liu Ying , Li Tianlai
Published: May 2017

The present study investigated the role of abscisic acid (ABA) application in photosynthesis, photosystems I and II (PSI and PSII), antioxidant system and ABA-related genes expression under sub-high temperature and high light (STHL) stress. STHL treatment led to an irreversible reduction
in the photosynthetic rate (Pn), damaged PSII firstly at three hours, and then inhibited RuBPCase activity at seven hours, at last injured PSI after eleven hours. During 11 hours STHL stress, exogenous ABA can alleviate the degree of Pn decreasing, improve the activity of RuBPCase, protect
PSII to photoinhibition, and promote the ability of reactive oxygen removal. When severe stress occured, exogenous ABA has certain effect, but can not ease photoinhibition and photodamage. In addition, exogenous ABA effected significantly on genes of upstream regulatory ABA biosynthesis key
enzymes and downstream response MYB transcription factors.
An Approach to Multiple Attribute Decision Making with Triangular Intuitionistic Fuzzy Information
Authors: Chen Jinping
Published: May 2017

The aim of this paper is to investigate the multiple attribute decision making problems with triangular intuitionistic fuzzy information. Some operational laws of triangular intuitionistic fuzzy sets, score functions of triangular intuitionistic fuzzy sets are introduced. Based on these
operational laws, some Einstein aggregation operators, including triangular intuitionistic fuzzy Einstein weighted averaging (TIFEWA) operator, triangular intuitionistic fuzzy Einstein ordered weighted averaging (TIFEOWA) operator and triangular intuitionistic fuzzy Einstein hybrid aggregation
(TIFEHA) operator, are proposed. An approach to multiple attribute decision making with triangular intuitionistic fuzzy information is developed based on the TIFEWA operator. Finally, an illustrative example for evaluating the construction projects quality with triangular intuitionistic fuzzy
information is given to verify the developed approach.
Imbalanced Feature Selection with Random Forest for Ovarian Cancer Diagnosis and Survival Prediction
Authors: Fang Xiaonan , Liang Cheng , Zhang Huaxiang
Published: May 2017

Ovarian cancer is the most lethal cancer of female reproductive system. Although it only ranks tenth of female malignancy tumors, its death rate is the highest among the female reproductive system tumors. Therefore, there is a pressing and consistent need to better comprehend its pathogenesis.
However, the early diagnosis and survival predictions of ovarian cancer patients still remains a challenging problem today. Microarray technology has been widely accepted in early cancer diagnosis and prediction of outcome. Nevertheless, the high-dimension and imbalanced class distribution
always disturb the effect of classification. In this paper, we proposed a new imbalanced feature selection method based on Random Forest called IFSRF for ovarian cancer classification. Our method selects AUC as the evaluation criterion when performing feature selection, which can relieve the
negative effect of imbalanced classes. We select three manually curated ovarian cancer datasets and five widely used classifiers to show the improvement after using IFSRF. Furthermore, to demonstrate the effectiveness of the proposed method, we compare IFSRF with another widely used feature
selection method Relieff. Experiments results on three ovarian cancer diagnosis and survival prediction data sets show that our feature selection method can significantly improve the AUC performance of all classifiers, especially on Random Forest. Meanwhile, the overall prediction accuracy
could maintain as well.
Research on Parameter and Industrial Design in Multiple Sound Source Position
Authors: Yun Mei
Published: May 2017

How to improve the performance of multiple sound source localization method, this paper studies the parameter and process design in multiple sound source position. First, it divides a signal into several sub-frames, and it calculates signal variation; then it uses the clustering algorithm
to divide the estimated values into several categories; finally it calculates the final sound source location estimation. Experimental results show that the positioning algorithm is effective. There are many parameters will affect the gunfire correct rate and error rate, the parameters and
angle selection will affect sound source position estimation.
Application Research on Quantitative Prediction of Mineral Resources Based on the Grey Relational Analysis Algorithm with Dual Hesitant Fuzzy Information
Authors: Ma Yanying , Wang Xue , Fan Jizhang
Published: May 2017

With the rapid economic development, China is facing a comparatively short supply of mineral resources after the relatively long-term developmental stage that is based on the consumption of mineral resources. Contradictions among the population, resources, the environment and developments
have arisen. Therefore, under the constraint conditions of limited and non-renewable mineral resources, the mineral resources industry in China must adhere to sustainable development. The aim of this paper is to investigate the multiple attribute decision making problems for quantitative prediction
of mineral resources with dual hesitant fuzzy information and incomplete weight information. Then, based on the traditional GRA method, calculation steps for solving dual hesitant fuzzy multiple attribute decision-making problems with incomplete weight information are proposed. Finally, an
algorithm of quantitative prediction of mineral resources based on the grey relational analysis with dual hesitant fuzzy information is proposed.
A Study on Enterprise Technological Innovation Capability Evaluation with 2-Tuple Linguistic Information
Authors: Xie Yi , Ran Rong
Published: May 2017

Today rapid and drastic changes are taking place in technology. Technological innovation capability of a nation to knowledge becomes the crucial factor which raises national industry competition ability. Only in this way can an enterprise scientifically realize its technological innovation
ability in its competition with its counterpart, employ appropriate innovation strategy, make full use of its advantages and achieve the best economic and social benefits. The aim of this paper is to study the evaluation problems for evaluating the enterprise technological innovation capability
with 2-tuple linguistic information. The induced 2-tuple linguistic choquet ordered harmonic average (I-2TCOHA) operator is used to aggregate the 2-tuple linguistic information corresponding to each alternative and rank the alternatives and select the most desirable one(s). Finally an illustrative
example for evaluating the enterprise technological innovation capability has been given to show the developed approach.
Applications on Hyper-Zagreb Index of Generalized Hierarchical Product Graphs
Authors: Luo Zhaoyang
Published: May 2017

Let G be a connected graph. The Hyper-Zagreb index of a connected graph G is defined as HM(G) = Σuv∈EG [dG(u)+dG(v)]2, where dG(v)
is the degree of the vertex v in G. In this paper, the Hyper-Zagreb Gindex of the generalized hierarchical, Cartesian, cluster, corona products and four new sums of graphs according to some invariants of the factors are computed, respectively. As applications, we present explicit
formulas for the HM index of the linear phenylene Fn, the C4 nanotorus Cm□Cn, the C4 nanotubes Pm□Cn,
the l-dimensional hypercubes Ql , the zig-zag polyhex nanotube TUHC6[2n, 2], the hexagonal chain ln, the regular dicentric dendrimer DDp,r and so forth.
Secure Energy Efficient Data Collection Scheme Over Wireless Multimedia Sensor Networks
Authors: Kim Hyunsung , Lee Sung Woon
Published: May 2017

A secure data collection in wireless multimedia sensor networks (WMSNs) has given attention to one of security issues. WMSNs pose unique security challenges due to their inherent limitations in communication and computing, which makes vulnerable to various attacks. For the energy efficiency,
WMSNs adopt mobile sinks to collect data from sensor nodes. Thus, how to gather data securely and efficiently is an important issue WMSNs. In this paper, we propose a secure energy efficient data collection scheme over WMSNs, which are based on Bilinear pairing and symmetric key cryptosystem.
First of all, we devise a security model based on a hierarchical key structure for the security mechanisms, authentication, key agreement, confidentiality, and integrity. Based on the model, we propose a secure energy efficient data collection scheme, which could establish secure session in
one round. The proposed scheme could efficiently remedy security and efficiency problems in the previous data collection schemes over WMSNs. It has only about 18% of overhead for the security but also has energy efficiency compared with the other related schemes.
Classifier Ensemble Algorithm for Data Stream with Attribute Uncertainty
Authors: Xing Zhang , MeiLi Wang , Yang Zhang , Jifeng Ning
Published: May 2017

To build a classifier for uncertain data stream, an Ensemble of Uncertain Decision Tree Algorithm (EDTU) is proposed. Firstly, the decision tree algorithm for uncertain data (DTU) was improved by changing the calculation method of its information gain and improving the efficiency of
the algorithm so that it can process the high-speed flow of data streams; then, based on this basic classifier, dynamic classifier ensemble algorithm was used, and the classifiers presenting effective classification were selected to constitute ensemble classifiers. Experimental results on
SEA and Forest Covertype Datasets demonstrate that the proposed EDTU algorithm is efficient in classifying data stream with uncertain attribute, and the performance is stable under the different parameters.
Accurate Determination of Critical Safety Height During Available Safe Egress Time Assessment
Authors: Han Xuefeng , Deng Yao , Wang Xiaomei , Jiang Juncheng
Published: May 2017

When evaluating the ASET (available safe egress time), the fire scenario and the heat release rate (HRR) of the fire need to be set firstly according to the function and the combustible materials of the building, then CFD (Computational Fluent Dynamics) software is used to perform simulations.
The ASET is obtained at the time when the hazard index of smoke reaches the minimum value at a safety height, and this height could be defined as critical safety height. It is very important to select critical safety height and heat release rate for the accuracy of the simulation results.
The variation of selection of the critical safety height in references is large and it is lacking of credible evidence. This paper discusses the critical safety height based on statistics, probability and ergonomicsvvso as to improve the accuracy, credibility and reliability of the numerical
simulation.
The Application of Data Mining Technology in the Teaching Evaluation in Colleges and Universities
Authors: Liu Xiaoqi
Published: May 2017

As the teaching management informationization level is higher and higher, Network based teaching evaluation system has been widely used, and a lot of evaluation of the original data has been accumulated. This research, taking recent five years teaching evaluation data of the college
work for as basis, analyzes teachers’ personal factors and teaching operation factors respectively with the data mining technology of decision tree ID3 algorithm. By calculating the factors of information entropy and information gain value, the corresponding decision tree is gained.
The teaching evaluation results are made use of really rather than become a mere formality, and thus provide powerful basis for the effectiveness and scientificalness of teaching evaluation.
Research on the Risk Management System of Purchasing the Materials of Tobacco Industry Based on Data Mining
Authors: Li Xing
Published: May 2017

There are many potential risk factors in the procurement process of tobacco material, it is important to how to identify risk factors and prevent it effectively. In this paper, based on the theory of procurement management, we analyzed the current situation of procurement management
of tobacco material in Guizhou province and identified the problems. And then, we constructed the risk warning system of tobacco materials procurement in Guizhou province and analyzed the structure of system, and we worked out the risk warning system of tobacco material procurement from the
three aspects of external environment risk, supplier credit risk and risk internal staff. Finally, we use the method of fuzzy comprehensive evaluation to make an empirical study, and we put forward the corresponding countermeasures according to the evaluation results and hoping to provide
a theoretical basis and reference for the tobacco companies to reduce procurement costs and control the risk of procurement. Also, we designed the risk warming system of tobacco materials based on date mining, including the system environment, function module and the system structure.
The Application Research of Secondary Attack Tactics in Freestyle Wrestling Sports
Authors: Sui Xiaoyan
Published: May 2017

First of all, through the analysis to the characteristics of secondary attack of the Chinese wrestling athletes in the game, I do some preparation for analysing the technical differences of the wrestling athletes at home and abroad. This is good for shortening the differences in related
research between the wrestlers at home and powerful elite athletes at abroad. Secondly, this study can highlight the position and role of the secondary attack in the wrestling sports. Game experience in the past has shown that secondary attack in wrestling sports is a kind of technique with
high frequency in success. Therefore, the study of the secondary attack can stimulate the coaches and athletes to the importance of this kind of technique, and to improve training in the wrestling for the second attack. In addition, the practice has proved that at the contemporary wrestling
competition is increasingly fierce both at home and abroad, and the use of a single technique is not enough to win the game. The study of the secondary attack will be one of the important link of wrestling technique.
A Study of Extension Strategies of Multimedia Online Teaching Platform in Sports Teaching of Universities
Authors: Xu Jiaping
Published: May 2017

By showing the advantages of multimedia online teaching platform in university sports teaching, the paper tries to summarize and analyze how to help the multimedia online teaching platform break the traditional university sports teaching limitations, how to expand the multimedia online
teaching platform into university sports teaching, how to effectively and reasonably integrate resources and information on multimedia online teaching platforms and sports websites to complement each other’s advantages and to break the time and space limitations of the traditional sports
teaching by making full use of the share performance of online resources, how to make college students without a multimedia online teaching platform and sports fans learn sports knowledge on multimedia online teaching platform to realize the optimization of teaching resources, and how to provide
online guide and help for more college students and sports fans through the effectiveness, interactivity, and display features of multimedia network.
Research on the Influence of Interaction on Customers’ Behavioral Intention Under the Platform-Type B2C Mode
Authors: Liu Jing
Published: May 2017

In this research, the questionnaire method was mainly used. As for variable design, we firstly used the relatively mature scale in related documents for reference. Based on the past research achievements, we made proper modifications in combination with the practical situation of this
research, and finally formed the measurement indexes of all variables in combination with the opinions and suggestions of the adviser and marketing researchers. The variables involved in this research include the interaction, customer perceived value, platform trust, online shopping experience
and behavioral intention etc.
A Novel Core-Peer Based Trust Model for Peer-to-Peer Networks
Authors: Wei Dengfeng , Jiao Qing-Ju
Published: May 2017

In this paper, the P2P network node trust relationships and transactions are less likely to feature on the P2P network trust model based on the core nodes. Network nodes in the network model to the public reputation and private credibility clustering rely on node reliability for core
nodes and node points to discuss and give relevant solutions. Simulation results show that the trust model not only has a robust anti-malicious node attack has a lower assessment of the amount of computation and communication overhead, network resources search.
An Extended von Mises Type Criterion for Complex Systems by Means of Lie Groups and Its Implications
Authors: Stefan Gavril , Filipeanu Dumitru , Luca Alexandru Florin , Agop Maricel , Topliceanu Liliana , Oprea Iuliana , Grecea Constantin , Ghizdovat Vlad
Published: May 2017

Using the theory of Lie groups, a correlation between the one-axial and three-axial cases for complex systems is established. Thus, an extended von Mises type criterion results so that the presence of a critical “tension” in complex systems induces a critical probability
by means of the integrally invariant functions of Lie groups. In this way, new forecast models for complex systems evolution at any scale (such as stock and goods markets, currency variations, cellular growth, nanostructures etc.) can be developed.
Double Diffusion Effects on Magnetohydrodynamic Non-Newtonian Fluid Nanoparticles
Authors: Akbar Noreen Sher , Khalique C. M , Khan Z. H
Published: May 2017

In the present article, the double-diffusive natural convection of a micropolar nanofluid over a linearly stretching sheet is discussed. The flow equations are transformed into ordinary differential equations using similarity transformations. The numerical solutions are computed using
shooting technique and compared with the literature for the special case of pure fluid flow and found to be in good agreement. Graphical results are presented to illustrate the effects of various fluid flow parameters on velocity, heat transfer, nanoparticle volume fraction, salt concentration,
Nusselt number, Sherwood number and skin friction coefficient for both assisting and opposing flows.
Optimization of K-Means Clustering on Graphics Processing Unit Using Compute Unified Device Architecture
Authors: Saveetha V , Sophia S
Published: May 2017

Parallel data clustering aims at using algorithms and methods to extract knowledge from fat databases in rational time using high performance architectures. The computational challenge faced by cluster analysis due to increasing capacity of data can be overcome by exploiting the power
of these architectures. The recent development in parallel power of Graphics Processing Unit enables low cost high performance solutions for general purpose applications. The Compute Unified Device Architecture programming model provides application programming interface methods to handle
data proficiently on Graphics Processing Unit for iterative clustering algorithms like K-Means. The existing Graphics Processing Unit based K-Means algorithms highly focus on improvising the speedup of the algorithms and fall short to handle the high time spent on transfer of
data between the Central Processing Unit and Graphics Processing Unit. A competent K-Means algorithm is proposed in this paper to lessen the transfer time by introducing a novel approach to check the convergence of the algorithm and utilize the pinned memory for direct access. This
algorithm outperforms the other algorithms by maximizing parallelism and utilizing the memory features. The relative speedups and the validity measure for the proposed algorithm is elevated when compared with K-Means on Graphics Processing Unit and K-Means using Flag on Graphics
Processing Unit. Thus the planned approach proves that communication overhead can be reduced in K-Means clustering.
Effect of Temperature Dependent Viscosity on MHD Radiative Nanofluid Flow Caused by Heated/Cooled Cone
Authors: Raju C. S. K , Sandeep N , Ali M. E
Published: May 2017

In this study, we investigated the temperature dependent viscosity effect on magnetohydrodynamic nanofluid flow caused by a heated/cooled cone in the presence of nonlinear thermal radiation and irregular heat source/sink. The transformed governing equations using similarity variables
are solved numerically using Runge-Kutta based shooting technique. We demonstrated solutions for Al2O3-water and TiO2-water nanofluid cases. The effects of various dimensionless parameters on velocity and temperature profiles along with the skin friction coefficient
and the local Nusselt number are discussed and presented with the help of graphs and tables. It is found that the viscous variation parameter help to control the velocity as well as the temperature field and regulates the friction factor and heat transfer rate.
Mutual Prediction of Retention Times in a Variety of Operating Modes in Temperature Programmed Gas Chromatography
Authors: Zhang Xinglong , Ze Li , Yang Zhengchun , Wu Ruoxin , Gong Cairong , Fan Guoliang
Published: May 2017

In this paper, a new concept of calibration hold-up time was defined. On the basis of the concept, a novel method was proposed to predict retention times in temperature programmed (isothermal) under constant flow and constant pressure mode each other, and the method also researched
in simultaneous pressure and temperature programmed. The prediction results show that average relative errors are 1.33% (0.64%) in temperature programmed (isothermal) under constant pressure mode by using isothermal dates in constant flow mode, and the other way around, average relative errors
are 0.62% (−0.62%). For simultaneous pressure and temperature programmed, retention times were predicted by using isothermal dates in constant flow and constant pressure mode, average relative errors are −0.24% and −0.16%; and retention times were predicted by using isothermal
dates directly, average relative errors are −0.62%.
Improved Modified Area Efficient Carry Select Adder (MAE-CSLA) Without Multiplexer
Authors: Anand B , Teresa V. V
Published: May 2017

The Carry Select Adder (CSLA) is the fastest adders that perform arithmetic operations in many processors. There are lot of modifications that are proposed to reduce the area of CSLA one such efficient technique is presented in this paper. Here the area is reduced by eliminating the
multiplexer that selects the carry in of regular CSLA by using a simple XOR gate. Here the XOR gate is used to generate the first sum output of the ripple carry adders in the second stage of the CSLA adder. Then the XOR gate is implemented with AOI. This AOI implementation will further reduce
the area consumption of the adder. The proposed Modified Area Efficient Carry Select Adder (MAE-CSLA) is designed and analyzed in XILINX ISE design suite 14.5 tools. By this analysis it is clear that the modifications effect adversely in the area and power consumption of MAE-CSLA.
Design and Performance Analysis of Underwater Acoustic Sensor Networks
Authors: Ghaleb Mukhtar , Felemban Emad , Sheikh Adil A , Felemban Muhamad
Published: May 2017

Underwater Acoustic Sensor Network (UASN) is playing a vital role in exploration and monitoring operations in underwater environments that are difficult to reach. The communication medium relies on acoustic waves, which limits the performance of UASN in comparison to terrestrial sensor
network. This is due to its limited bandwidth, high latency and high path loss. In this article, a comprehensive study is presented to show the characteristics of UASN. This study is designed to investigate the performance of UASN in different scenarios. The investigation encompasses End-
To-End delay and energy consumption with respect to different parameters. In addition, we analyze the performance of underwater acoustic ad-hoc networks in the presence of node distribution and network dimensions.
Detecting Co-Regulatory Modules from Human Regulatory Network by Randomly Walking Between Regulator and Gene Modules
Authors: Luo Jiawei , Song Dan , Liang Cheng , Li Guanghui , Cao Buwen
Published: May 2017

Gene expression is jointly regulated by microRNAs and transcriptional factors. As such, constructing a regulatory network for microRNAs and transcriptional factors and analyzing their combinatorial effects are vital to understand living organisms. Co-regulatory modules, including functional
homogeneous microRNAs, transcriptional factors, and genes, provide insights into coordinate regulation. In this paper, we propose a random walk with restart between regulator and gene modules (RWRRGM) method to detect co-regulatory modules from a human regulatory network. The network integrates
large, heterogeneous data, including transcriptional regulation, post-transcriptional regulation, and gene-gene interaction. RWRRGM first identifies regulator and gene modules by greedily expanding seed nodes and then walks on the identified modules randomly. Finally, functional homogeneous
regulator and gene modules are integrated to form co-regulatory modules. RWRRGM-based modules exhibit higher enrichment in gene ontology terms and known pathways than modules predicted by other methods.
Research on Shape Feature Recognition of Boundary Representation CAD Model
Authors: Wang Jihua
Published: May 2017

B-Rep (Boundary Representation) CAD model is being widely used in representation of industrial product, so its feature recognition has acquired widespread research interests in computer vision and 3D model retrieval fields. We present one approach of feature recognition based on the
idea of human visual mechanism. Surfaces as the visual shape features, and solids as well as shells as the topological relations, were extracted from the neutral STEP (Standard for Exchange of Product Model Data) files of B-Rep model. Towards three surface types of NURBS, analytical and poly
loop, the properties of surface boundary and region are established based on curvature and other geometric index. So B-Rep CAD model is characterized as the hierarchical tree with solid layer, shell layer and surface layer for object recognition and retrieval, and the corresponding experiments
verified the effectiveness of the method of shape feature recognition.
In-Situ Copper(II) Complexes of Some Quinolone Drug Ligands Were Discussed for Their Molecular Structures: Synthesis in Binary Solvent
Authors: El-Megharbel Samy M , Hussien M. A , Refat Moamen S
Published: May 2017

A series of copper solid complexes with different generation of quinolone drugs of the type [Cu(L)n(Cl)x(H2O)y]·zH2O ((1) L: nalidixic acid (Nal), n = 2, x = 2, y =
2, z = 9; (2) L: oxolonic acid (Oxo), n = 2, x = 2, y = 2, z = 2; (3) L: pipemidic acid (Pip), n = 2, x = 2, y = 2, z = 4; (4) L: lomefloxacin (Lom), n = 2, x = 2, y = 2, z = 2;
(5) L: pefloxacin mesylate (Pef), n = 2, x = 2, y = 2, z 2; (6) L: levofloxacin (Lev), n = 2, x = 2, y = 2, z = 2) were synthesized and identified using micro-analytical, FT-IR spectroscopy, conductance data, effective magnetic
moments, electronic UV-vis spectra, electron-spin-resonance (ESR) spectra. Except levofloxacin that behaves as bi-dentate fashion through oxygen atoms of pyridone and carboxylate groups, the other quinolone drug chelates acts as uni-dentate via nitrogen atom of pyridone/piperazyl moiety. Electronic
spectroscopic tools are in agreement with an octahedral geometrical structure. Thermal degradation analyses TG-DTG in nitrogen gas environmental are discussed the number and location of water molecules. The thermal decomposition process is completely in 3–5 steps, that the first step
is responsible to loss of uncoordinated water molecules. The stabilities of Cu(II) complex 1–5 were studied dependent on activations of energy E*, entropy ΔS*, enthalpy ΔH* and Gibbs free energy ΔG* that have been estimated using Coats-Redfern
and Horowitz-Metzeger non-isothermal methods. Molecular docking was used to predict the binding between some quinolone drugs with the receptor of breast cancer mutant 3hb5-oxidoreductase.
Comparative Analysis of Grid Connected Photovoltaic Based Z-Source Inverter with PI and PID Controllers
Authors: Kamalakkannan S , Kirubakaran D
Published: May 2017

In this work, a grid system attached Z-Source inverters for PV system with perturb and observation algorithm is projected for changing irradiance and to use full obtainable PV power. The boost operation of PV power is attained in inverter using the perception of shoot-through time period.
The PV inverter is an important component in a PV system. It executes the conversion of variable DC output of the PV panel module(s) in to pure sinusoidal 50Hz AC current. This pure sinusoidal AC in turn is fed to the grid connected system. The simulation is carried out in Matlab/Simulink
platform and benefits of projected systems are emphasised with the aid of simulation results.
Modeling and Simulation of Artificial Neural Network Controlled Soft Switched Push–Pull DC to DC Converter
Authors: Devikala S , Sivachidambaranathan V
Published: May 2017

This paper presents the performance of DC/DC Push–Pull converter for storage batteries. Some of the DC/DC converters are analyzed for finding their advantages and disadvantages. Moreover, a unique system based on a Push–Pull converter associated with an active filter and
superior controller is chosen. The main advantage is the possibility to minimize the ripple at the output, decrease the switching power losses, increase the power conversion efficiency and improve the transient and steady state response. This paper proposes a new filter, control scheme and
Artificial Neural Network (ANN) controlled Push–Pull DC/DC converter. Simulation was done using MATLAB Simulink and designed biasing for the PIC 16F84 microcontroller. The performance of the proposed system has been verified through a 1 kW prototype model of the system for a 15 KHz,
48/12 V DC for battery. The simulation results are validated with experimental results.
Institutional trust and performance: A study of the police in Ghana
Authors: Boateng Francis D
Published: May 2017

The primary purpose of this study is to examine the effects of three indicators of police performance on residents’ evaluations of their local police in Ghana. Specifically, the study attempts to address the question “Can performance theory be utilized to explain variations in citizens’ attitudes toward the police?” This question is addressed using cross-sectional data collected on 1024 residents from 25 neighborhoods in five urban cities in Ghana. Findings obtained find evidence to support the applicability of performance theory in the Ghanaian context. Findings from this study have both theoretical and practical implications and provide important insights for the police to enhance their performance and develop better relationship with the public.
Book Review: Akshaya Mukul, Gita Press and the Making of Hindu India
Authors: Mandhwani Aakriti
Published: May 2017

Akshaya Mukul, Gita Press and the Making of Hindu India, Delhi: Harper Collins, 2015, 540 pp.
Book Review: Noboru Karashima, A Concise History of South India: Issues and Interpretations
Authors: Trento Margherita
Published: May 2017

Noboru Karashima, A Concise History of South India: Issues and Interpretations, New Delhi: Oxford University Press, 2014, 472 pp.
Book Review: Nayanjot Lahiri, Ashoka in Ancient India
Authors: McClish Mark
Published: May 2017

Nayanjot Lahiri, Ashoka in Ancient India, Ranikhet: Permanent Black, 2015, 385 pp.
‘I have potential’: Experiences of recovery in the individual placement and support intervention
Authors: Gammelgaard Iben , Christensen Thomas N , Eplov Lene F , Jensen Sofie B , Stenager Elsebeth , Petersen Kirsten S
Published: May 2017

Background:

The individual placement and support (IPS) intervention supports persons with severe mental illness in achieving competitive employment. Although the IPS intervention is labelled a recovery-oriented intervention, little is known about how participants experience IPS to influence recovery. The aim was to investigate how IPS and employment influence recovery in persons with severe mental illness.

Material:

A qualitative phenomenological hermeneutic study of experiences of 12 participants in IPS.

Discussion and conclusion:

IPS and competitive work have an impact on personal recovery, may influence work functioning and decrease depressive symptoms, but do not seem to have an impact on psychotic symptoms.
Encountering development in East African fiction
Authors: Kopf Martina
Published: May 2017

In this article I address how East African writers have responded to and conceptualized the encounter with development in works of fiction. The article combines two lines of enquiry: first, a historical perspective on “development” as a history of changing and conflicting meanings and practices in planning and controlling social and economic change, and, second, a narrative studies perspective on fiction as a source of knowledge in social and political research. The article presents an analysis of two novels and a short story from Uganda and Kenya: Akiki Nyabongo’s The Story of an African Chief (1935), Meja Mwangi’s Going Down River Road (1976), and Binyavanga Wainaina’s Discovering Home (2003). The texts are from three different historical periods from the colonial past to the present. Bringing them into dialogue with institutional discourses relevant to their respective periods, I argue that these works of fiction open up a unique understanding of key issues and problems in development thinking and planning. Furthermore, my analysis sheds a different light on critical debates that perceive the “development encounter” as a story of the “West versus the rest”. Instead, this essay links recent trends in writing to more entangled histories of development.
Effect of Z-pinning on fatigue crack propagation in composite skin/stiffener structures
Authors: Zhang Xiangyang , Van Hoa Suong , Li Yong , Xiao Jun , Tan Yan
Published: May 2017

The skin/stiffener interface debonding has been a longstanding problem for composite stiffened panels. Proper crack-arresting reinforcements become a necessity for the wide application on large-scale framed structures. Z-pinning was employed to strengthen composite skin/stiffener bond in this study. Herein, static and fatigue tensile tests were conducted on a generic configuration to characterize the improvement of Z-pinning on skin/stiffener debonding resistance to skin stretching. Results show that the improvements on ultimate debonding strength and fatigue life are significant, even though the effect on crack onset is marginal under either monotonic or cyclic loading. Z-pinning changes the unstable continuous crack growth into a propagation-suspension-propagation evolution pattern. The crack growth rate is decreased by up to three orders of magnitude due to Z-pinning. Effects of pin distribution were experimentally studied. A locally densified distribution is found to be more effective than the traditional uniform distribution.
“It’s 1000 Degrees in Here When I Teach”: Providing Preservice Teachers With an Extended Opportunity to Approximate Ambitious Instruction
Authors: Stroupe David , Gotwals Amelia Wenk
Published: May 2017

Teacher educators have a challenging task of designing opportunities for preservice teachers (PSTs) to learn ambitious science teaching (AST). However, with limited time in methods courses and the complexities of AST, opportunities for PSTs to “try out” ambitious instruction are difficult to construct and analyze. To address this problem, we describe our enactment of a type of extended pedagogical rehearsal that we call “macroteaching” in a secondary science methods course. Framed as a design experiment, we codeveloped macroteaching with the PSTs during methods class, examining how we all learned about AST given the extended learning opportunity. The results of this study, including that PSTs are not afraid of the uncertainty about what students might say and do, suggest that extended rehearsals of AST provide PSTs and the course instructors with opportunities to advance their teaching and vision of the profession in a methods class.
The Psychiatric Morbidity of Women Who Give Birth to Children with Fetal Alcohol Spectrum Disorder (FASD): Results of the Manitoba Mothers and FASD Study
Authors: Singal Deepa , Brownell Marni , Chateau Dan , Hanlon-Dearman Ana , Longstaffe Sally , Roos Leslie L.
Published: May 2017

Objective:

To investigate differences in physician-diagnosed psychiatric disorders between women who gave birth to children with a fetal alcohol spectrum disorder (FASD) diagnosis (study group) compared to women who gave birth to children without FASD (comparison group).

Methods:

We linked population-level health and social services data to clinical data on FASD diagnoses to identify study group ( n = 702) and comparison group ( n = 2097) women matched 1:3 on date of birth of index child, region of residence, and socioeconomic status. Regression modeling produced relative rates (RRs) for outcomes.

Results:

Mothers who gave birth to children with FASD had higher adjusted rates of substance use disorder (RR, 12.65; 95% confidence interval [CI], 8.99-17.80), personality disorder (RR, 12.93; 95% CI, 4.88-34.22), and mood and anxiety disorders (RR, 1.75; 95% CI, 1.49-2.07) before the pregnancy of the child. These mothers also had higher adjusted rates of maternal psychological distress during pregnancy (RR, 5.35; 95% CI, 4.58-6.35) and higher rates of postpartum psychological distress (RR, 1.71; 95% CI, 1.53-1.90). These women also had higher adjusted rates for antidepressant prescriptions before, during, and after the pregnancy.

Conclusions:

A significant psychiatric burden exists for women giving birth to children with FASD. Clinicians should recognise the high rates of psychiatric concerns facing mothers who give birth to children with FASD and should offer treatment and support to these women to improve their health and well-being and prevent further alcohol-exposed pregnancies.
Psychotropic Drug Use before, during, and after Pregnancy: A Population-Based Study in a Canadian Cohort (2001-2013)
Authors: Leong Christine , Raymond Colette , Château Dan , Dahl Matthew , Alessi-Severini Silvia , Falk Jamie , Bugden Shawn , Katz Alan
Published: May 2017

Objective:

To describe the extent of increase in use and the rate of continuation versus discontinuation of psychotropic agents before, during, and after pregnancy.

Methods:

Rates of psychotropic use (antidepressants, anxiolytic/sedative-hypnotics, antiepileptics, antipsychotics, lithium, stimulants) among women with a hospital-recorded pregnancy outcome were assessed using databases at the Manitoba Centre for Health Policy. Rate of use was defined as ≥1 prescription over the total number of pregnancies in the 3-12 months before pregnancy, 0-3 months before pregnancy, during pregnancy, or 3 months after pregnancy. Continued use was defined as ≥2 prescriptions with gap ≤14 days. Poisson regression was used to analyze trends.

Results:

Over the study period, a psychotropic drug was used before, during, or after pregnancy in 41,923 of 224,762 pregnancies. From 2001 to 2013, psychotropic use increased 1.5-fold from 11.1% to 16.2% ( p < 0.0001) in the 3-12 months before pregnancy, 1.6-fold from 6.4% to 10.5% ( p < 0.0001) in the 3 months before pregnancy, 1.8-fold from 3.3% to 6.0% ( p < 0.0001) during pregnancy, and 1.5-fold from 6.2% to 9.5% ( p < 0.0001) in the 3 months postpartum. Among the 13,579 women who received at least 1 psychotropic agent in the 3 months prior to pregnancy, 38.5% stopped the agent prior to pregnancy and only 10.3% continued use throughout pregnancy. Continued use throughout pregnancy was higher (56.9%) among the 6693 women who received at least 2 prescriptions for a psychotropic agent and were at least 80% adherent in the 3 months prior to pregnancy.

Conclusion:

The use of psychotropic agents increased over 12 years. The safety of continuing versus discontinuing these agents during pregnancy remains uncertain, but we observed a decrease in psychotropic drug use during the pregnancy period.