bluuebunny/crossref_metadata_2025 huggingface dataset:
Exercise interventions for ankylosing spondylitis: a protocol for a Bayesian network meta-analysis
Authors: Kan Shun-Li , Chen Ling-Xiao , Yuan Zhi-Fang , Hu Wei , Zhu Ru-Sen
Published: June 2019

Introduction

Ankylosing spondylitis (AS) is a universal chronic inflammatory rheumatic disease which predominantly results in chronic back pain and stiffness. However, some patients suffering from AS do not react well to pharmacological interventions. Exercise intervention has been employed for the treatment of AS and works as a complementary part of the management of AS. However, the effect of different types of exercise interventions remains unclear. The purpose of this study is to determine the relative efficacy of different types of exercise interventions for individuals with AS using a Bayesian network meta-analysis.

Methods and analysis

We will conduct a systematic literature review of randomised controlled trials that compare different types of exercise interventions for individuals with AS. PubMed, EMBASE and the Cochrane Library will be searched up to February 2019. The primary outcomes are functional capacity, pain and disease activity. The risk of bias for individual studies will be evaluated according to the Cochrane Handbook. A Bayesian network meta-analysis will be performed to compare the efficacy of different types of exercise interventions. The quality of evidence will be assessed by the Grading of Recommendations, Assessment, Development and Evaluation approach.

Ethics and dissemination

Ethical approval and patient consent are not required as this study is a meta-analysis based on published studies. The results of this network meta-analysis will be submitted to a peer-reviewed journal for publication.

PROSPERO registration number

CRD42019123099.
Comparing predictions of fisheries bycatch using multiple spatiotemporal species distribution model frameworks
Authors: Stock Brian C. , Ward Eric J. , Eguchi Tomoharu , Jannot Jason E. , Thorson James T. , Feist Blake E. , Semmens Brice X.
Published: June 2019

Spatiotemporal predictions of bycatch (i.e., catch of nontargeted species) have shown promise as dynamic ocean management tools for reducing bycatch. However, which spatiotemporal model framework to use for generating these predictions is unclear. We evaluated a relatively new method, Gaussian Markov random fields (GMRFs), with two other frameworks, generalized additive models (GAMs) and random forests. We fit geostatistical delta-models to fisheries observer bycatch data for six species with a broad range of movement patterns (e.g., highly migratory sea turtles versus sedentary rockfish) and bycatch rates (percentage of observations with nonzero catch, 0.3%–96.2%). Random forests had better interpolation performance than the GMRF and GAM models for all six species, but random forests performance was more sensitive when predicting data at the edge of the fishery (i.e., spatial extrapolation). Using random forests to identify and remove the 5% highest bycatch risk fishing events reduced the bycatch-to-target species catch ratio by 34% on average. All models considerably reduced the bycatch-to-target ratio, demonstrating the clear potential of species distribution models to support spatial fishery management.
1980s population-specific compositions of two related anadromous shad species during the oceanic phase determined by microchemistry of archived otoliths
Authors: Nachón David José , Bareille Gilles , Drouineau Hilaire , Tabouret Hélène , Taverny Catherine , Boisneau Catherine , Berail Sylvain , Pécheyran Christophe , Claverie Fanny , Daverat Françoise
Published: June 2019

The specific stock composition and dispersion of anadromous fish species aggregations in the marine environment are poorly known, while they can play a major role in the metapopulation dynamics. Otolith microchemistry has proven to be a powerful tool to address natal origins of anadromous fish. We used archived otolith microchemistry to investigate the population-specific composition of subadult European shads (Alosa alosa and Alosa fallax) in the ocean during the 1980s. The allocation of natal origin was addressed relying on contemporary water and juveniles’ signatures within a Bayesian model. A great discrimination of natal origin was obtained at the Biscay Gulf scale. However, the discrimination of 1980s natal origin for the southern rivers with similar geology based on 2013 water and juveniles’ baselines was doubtful. Our results showed that the most abundant southern populations were dominant, suggesting that population-specific composition was related to population relative abundance. The dispersion in the marine environment was plastic; alternatively, shads were found large distances away from their natal rivers, while others remained in the vicinity of their natal river plume.
Fractional-Order Dual-Slope Integral Fast Analog-to-Digital Converter with High Sensitivity
Authors: Yu Bo , Pu Yi-Fei , He Qiu-Yan
Published: June 2019

The dual-slope integral analog-to-digital converter is widely used in low-speed, high-precision measurement owing to its high precision and strong resistance on crosstalk interference. To meet the requirements of higher accuracy and faster measurement, the integral sensitivity and conversion speed of the dual-slope integral analog-to-digital converter must be improved. Therefore, based on fractional-order calculus, we propose a fractional-order dual-slope integral analog-to-digital converter. First, constant-current charging curves were provided to explain the source of the idea of the fractional-order dual-slope integral analog-to-digital converter. Then, the working principle of the fractional-order dual-slope integral analog-to-digital converter is described in detail. The calculation formula of analog-to-digital conversion is derived and analyzed. Moreover, the relationship of the voltage-measurement error with the operation-order error of the fractor and the reference voltage error is theoretically derived. Furthermore, we theoretically analyze the resistance of the proposed analog-to-digital converter to crosstalk interference, as well as the requirements for the first fractional integral time when crosstalk interference is suppressed. Specifically, we prove that the proposed analog-to-digital converter has a higher sensitivity and conversion speed than the classical converter, and we provide a quantitative calculation formula.
China’s Belt and Road Initiative in South Asia and the Indian Response
Authors: YUAN JINGDONG
Published: June 2019

China’s Belt and Road Initiative (BRI) is an ambitious project aiming to transform the economic landscape along its route in the areas of trade, investment, and energy supplies. It makes as its focal point the connectivity between China and Eurasia, South Asia, and the Indian Ocean. South Asia’s location presents China with significant strategic opportunities as Beijing seeks to expand its economic presence in the subcontinent by providing resources in infrastructural development, particularly the construction of seaports. With growing Chinese trade and investment in the region, Beijing is also extending its diplomatic influence into what has long been considered as India’s sphere of influence. With longstanding strategic distrust and unresolved territorial disputes, New Delhi is suspicious of Beijing’s intentions and concerned over the latter’s growing influence into a region it has long considered its sphere of influence. In this context, the BRI has the potential to intensify Sino–Indian rivalry, and the Modi government has indeed explored and launched initiatives to counter Chinese diplomatic activities. It remains a challenge whether and how Asia’s rising powers can reduce their trust deficits and explore areas of cooperation made possible by the BRI, working toward a cooperative, mutually beneficial future for Sino–Indian relations and the region as a whole.
Comparison of Automated Anti-Müllerian Hormone Assays and Antral Follicle Count in Predicting Ovarian Response During Ovarian Stimulation
Authors: Tan Eek Chaw , Chincholkar Pallavi , Yu Su Ling , Lim Serene Liqing , Renuka Rajkumaralal , Yong Tze Tein , Yeo Chin Pin , Rajesh Hemashree
Published: June 2019

Objective: Various parameters had been used to predict ovarian response. Among them, Anti-Müllerian Hormone (AMH) and antral follicle count (AFC) demonstrate the most favourable analytical and performance characteristics. In this pilot study, we aim to determine the cut-off levels of AMH using automated AMH assays and AFC in the prediction of poor and high responders.

Study Design: Prospective study of 43 women between 21 to 45 years old scheduled for assisted reproduction. AMH levels on day 3 of menstruation were analysed using two immunoassay kits, namely the Beckman Coulter Access AMH and the Roche Elecsys AMH on the two automated analysers Beckman Coulter DxI 800 and Roche Cobas e602 respectively. AFC was also assessed on day 3 of menstruation prior to in vitro fertilization (IVF). These were compared with the number of oocytes retrieved after controlled ovarian stimulation.

Results: AMH (Beckman Coulter Access AMH and Roche Elecsys AMH) highly correlated with AFC and the number of oocytes retrieved after ovarian stimulation. Beckman Coulter Access AMH was the better predictor for poor ovarian response with ROC [Formula: see text] of 0.83. For the prediction of a high response, AFC had a higher ROC [Formula: see text] of 0.95. Through ROC, the AMH cut-off level for poor ovarian response was 2.23 ng/ml with Beckman Coulter Access AMH and 2.02 ng/ml with Roche Elecsys AMH, while the AMH cut-off for a high ovarian response was 5.19 ng/ml with Beckman Coulter Access AMH and 4.60 ng/ml with Roche Elecsys AMH. For AFC, the cut-off for poor ovarian response was 18 and for high response was 34.

Conclusion: AMH and AFC are reliable predictors of ovarian response. Establishment of specific levels may improve individualised controlled ovarian stimulation and optimise the oocyte yield. Larger studies are required to establish these findings.
Co-Producing Sustainability: Reordering the Governance of Science, Policy, and Practice
Authors: Wyborn Carina , Datta Amber , Montana Jasper , Ryan Melanie , Leith Peat , Chaffin Brian , Miller Clark , van Kerkhoff Lorrae
Published: June 2019

Co-production has become a cornerstone of research within the sustainability sciences, motivating collaborations of diverse actors to conduct research in the service of societal and policy change. This review examines theoretical and empirical literature from sustainability science, public administration, and science and technology studies (STS) with the intention of advancing the theory and practice of co-production within sustainability science. We argue that co-production must go beyond stakeholder engagement by scientists to the more deliberate design of societal transitions. Co-production can contribute to such transitions by shifting the institutional arrangements that govern relationships between knowledge and power, science and society, and state and citizens. We highlight critical weaknesses in conceptualizations of co-production within sustainability sciences with respect to power, politics, and governance. We offer suggestions for how this can be rectified through deeper engagement with public administration and STS to offer a broad vision for enhancing the use, design, and practice of a more reflexive co-production in sustainability science.
Acinetobacter baumannii: Envelope Determinants That Control Drug Resistance, Virulence, and Surface Variability
Authors: Geisinger Edward , Huo Wenwen , Hernandez-Bird Juan , Isberg Ralph R.
Published: June 2019

Acinetobacter baumannii has emerged as an important nosocomial pathogen, particularly for patients in intensive care units and with invasive indwelling devices. The most recent clinical isolates are resistant to several classes of clinically important antibiotics, greatly restricting the ability to effectively treat critically ill patients. The bacterial envelope is an important driver of A. baumannii disease, both at the level of battling against antibiotic therapy and at the level of protecting from host innate immune function. This review provides a comprehensive overview of key features of the envelope that interface with both the host and antimicrobial therapies. Carbohydrate structures that contribute to protecting from the host are detailed, and mutations that alter these structures, resulting in increased antimicrobial resistance, are explored. In addition, protein complexes involved in both intermicrobial and host-microbe interactions are described. Finally we discuss regulatory mechanisms that control the nature of the cell envelope and its impact on host innate immune function.
Bent Bacteria: A Comparison of Cell Shape Mechanisms in Proteobacteria
Authors: Taylor Jennifer A. , Sichel Sophie R. , Salama Nina R.
Published: June 2019

Helical cell shape appears throughout the bacterial phylogenetic tree. Recent exciting work characterizing cell shape mutants in a number of curved and helical Proteobacteria is beginning to suggest possible mechanisms and provide tools to assess functional significance. We focus here on Caulobacter crescentus, Vibrio cholerae, Helicobacter pylori, and Campylobacter jejuni, organisms from three classes of Proteobacteria that live in diverse environments, from freshwater and saltwater to distinct compartments within the gastrointestinal tract of humans and birds. Comparisons among these bacteria reveal common themes as well as unique solutions to the task of maintaining cell curvature. While motility appears to be influenced in all these bacteria when cell shape is perturbed, consequences on niche colonization are diverse, suggesting the need to consider additional selective pressures.
Durability of Quantitative Resistance in Crops: Greater Than We Know?
Authors: Cowger Christina , Brown James K.M.
Published: June 2019

Quantitative resistance (QR) to crop diseases has usually been much more durable than major-gene, effector-triggered resistance. It has been observed that the effectiveness of some QR has eroded as pathogens adapt to it, especially when deployment is extensive and epidemics occur regularly, but it generally declines more slowly than effector-triggered resistance. Changes in aggressiveness and specificity of diverse pathogens on cultivars with QR have been recorded, along with experimental data on fitness costs of pathogen adaptation to QR, but there is little information about molecular mechanisms of adaptation. Some QR has correlated or antagonistic effects on multiple diseases. Longitudinal data on cultivars’ disease ratings in trials over several years can be used to assess the significance of QR for durable resistance in crops. It is argued that published data likely underreport the durability of QR, owing to publication bias. The implications of research on QR for plant breeding are discussed.
Current Oscillation during Simultaneous Reduction of Tin(II) ions, Nitrate, and Nitrobenzene at Au Electrode
Authors: Kurohagi Masayuki , Mukouyama Yoshiharu , Nakanishi Shuji , Yae Shinji
Published: June 2019

#AiMES2018, Z01 General Student Poster Session.This is a slightly revised version of our presentation at AiMES 2018 in Cancun, Mexico on October 2, 2018 6:00PM (Abstract MA2018-02 2086).We have reported that NO3- is reduced efficiently at an Au electrode in the presence of Sn2+ though Au is not an excellent electrocatalyst for the reduction, and also that a nitrobenzene (NB) droplet put on the electrode moves like amoeba due to a Marangoni effect (J. Electrochem. Soc., 165, H473 (2018)). The motion occurs because Sn2+, NO3-, and NB are simultaneously reduced at the electrode. Recently, we have found that the simultaneous reduction shows a current oscillation. This present study investigates how the simultaneous reduction causes the oscillation. The nitrate reduction, which is the main current-producing reaction, includes an N-NDR characteristic that is essential for the appearance of the oscillation. The N-NDR characteristic is related to the reduction of NB to aniline. The oscillation is accompanied with a change in the optical reflectance at the electrode surface, which is attributed to a change in the amount of Sn(OH)2 precipitate near the electrode.
Experimental Investigation on Rotordynamic Characteristics and Rotor System Stability of a Novel Negative Dislocated Seal
Authors: Sun Dan , Wang Xudong , Fei Chengwei , Zhao Huan , Zhang Guochen , Tang Wenzhong
Published: June 2019

Air‐induced force generated in seals is one key factor on the stability of the rotor system. In this paper, a novel negative dislocated seal (NDS) was developed in respect of dislocated bearing theory, to reduce hydrodynamic pressure effect and air‐induced force and improve rotor stability as well. A test rig was built to test rotordynamic characteristics and rotor stability of the NDS. The rotordynamic characteristics of seals were investigated based on the unbalanced synchronous excitation method, and seal‐rotor system stability was evaluated by the identification method with an electromagnetic bearing exciter. The effects of both rotating speed and inlet/outlet pressure ratio on the rotordynamic characteristics and rotor stability of both NDS and conventional cylindrical labyrinth seal were experimentally investigated. The results show that with the increasing rotating speed, inlet/outlet pressure ratio is promising to reduce the direct stiffness coefficients of seals and the logarithmic decrement rate of seal‐rotor system and enhance both cross stiffness and damping coefficient as well. Besides, the developed NDS effectively reduces cross‐stiffness coefficients and increases direct damping coefficients and the logarithmic decrement rate of the seal‐rotor system, relative to the conventional cylindrical seal. The proposed seal can effectively improve seal stability of turbomachinery.
The Use of a Hypoallergenic Dermal Matrix for Wrapping in Peripheral Nerve Lesions Regeneration: Functional and Quantitative Morphological Analysis in an Experimental Animal Model
Authors: Colonna Michele Rosario , Fazio Antonina , Costa Alfio Luca , Galletti Franco , Lo Giudice Roberto , Galletti Bruno , Galletti Cosimo , Lo Giudice Giorgio , Dell’Aversana Orabona Giovanni , Papalia Igor , Ronchi Giulia , Geuna Stefano
Published: June 2019

Introduction. The aim of this research was to test, in an animal model, the nerve regeneration technique with a hypoallergenic acellular dermal matrix used to wrap the microsurgical neural suture.Materials and Methods. Two groups of rats received the cut of limb right median nerves. The regeneration technique considers for both groups an end-to-end nerve suture. In the experimental group (A) was used also a wrapping protocol by a conduit of collagen matrix currently used in oral surgery. The animals underwent functional grasping tests (at 1, 3, 5, and 7 months) and a histological and quantitative analysis of distal nerve was performed at the end of experimental time.Result. After seven months, the grasping test reveals functional recovery in each tested animal; this improvement is more evident in Group A. The fibers appear well organized with restored myelin sheaths in both groups. Group A showed a great quantity of connective tissue surrounding the nerve. The quantitative morphology analysis in both groups shows a similar fibers density, fiber diameter, and myelin thickness. The differences between the groups in axon mean diameter are significant. In Group A M/d, D/d, and g-ratio is significantly higher compared to control group.Conclusions. Histological and functional assessments show a functional recovery of the injured nerve in the test groups, stressed by the results of the grasping tests and the meaningful increasing in fiber diameter and higher g-ratio. Moreover, a connective tissue cuff distinguishes the distal portion of the injured nerve. Considering the easy availability and handling of the material used in this study we can conclude that this experimental technique can be considered as a valid alternative to protect nerves in nerve wrap surgery.
Coordination of Time‐Varying Price Supply Chain with Inequity‐Averse Retailers
Authors: Song Shuanjun , Hu Sheng
Published: June 2019

In order to coordinate time‐varying price supply chain with inequity‐averse retailers, this paper proposes a cooperative system decision model based on buy‐back contract. The model concentratedly takes the market demand, manufacturers’ order response time, retailers’ inequity aversion, and time‐varying price into consideration. Through sensitivity analysis of model parameters, the influence of inequity aversion characteristics of retailers on contract parameters is analyzed by a numerical example. The result reveals that the cooperative system based on buy‐back contract can coordinate such supply chains. And it shows that when the retailer has disadvantageous inequity aversion, the buy‐back contract is beneficial to the manufacturer; when the retailer has advantageous inequity aversion, the buy‐back contract is beneficial to the retailer.
Highway Performance Evaluation Index in Semiarid Climate Region Based on Fuzzy Mathematics
Authors: Yang Sanqiang , Guo Meng , Liu Xinlei , Wang Pidong , Li Qian , Liu Haiqing
Published: June 2019

Accurate evaluation and analysis of expressway pavement performance is a prerequisite for determining the pavement design scheme and maintenance scheme. Due to the fuzziness and randomness of many factors affecting the pavement performance, this paper relies on the reconstruction and expansion project of Xinglin section of the Taihang mountain expressway, a method of highway pavement performance evaluation based on fuzzy mathematics is proposed. The results show the following: ① the study uses the factor domain, the comment level domain, the fuzzy relationship matrix, the evaluation factor full vector, and the fuzzy comprehensive evaluation result vector five-step method. The method can be effectively combined with the multi-index comprehensive detection index used in the specification. ② Based on the multi-index comprehensive test and evaluation adopted in the specification, the performance grade of the old road surface was quantitatively evaluated by the iterative calculation of fuzzy mathematics that broke through the evaluation mode which was based on the traditional detection methods. The research results provide innovative theoretical methods for the accurate evaluation and analysis of highway pavement performance in the semiarid climate region and also play a technical supporting role for the pavement design scheme and maintenance scheme decision-making in the semiarid climate region.
Hearing Thresholds Changes after MRI 1.5T of Head and Neck
Authors: Bahaloo Maryam , Davari Mohammad Hossein , Sobhan Mohammad , Mirmohammadi Seyyed Jalil , Jalalian Mohammad Taghi , Zare Sakhvidi Mohammad Javad , Shamsi Farimah , Mirfendereski Sam , Mollasadeghi Abolfazl , Mehrparvar Amir Houshang
Published: June 2019

Introduction. Exposure to high intensity noise produced by MRI is a cause for concern. This study was conducted to determine the temporary and permanent effects of exposure to noise created by performing MRI on the hearing threshold of the subjects using conventional and extended high frequency audiometry. Methods. This semiexperimental study was performed on 35 patients referred to Shahid Rahnemoun Hospital for head and neck MRI due to different clinical conditions. The hearing threshold of patients was measured before, immediately after, and 24 hours after performing 1.5 Tesla MRI using conventional and extended high frequency audiometry. SPSS version 18 was used to compare the mean hearing thresholds before and after MRI using paired T test and repeated measures analysis. Results. Comparison of auditory thresholds in conventional and extended high frequencies before and immediately after MRI showed a significant shift at 4 KHz (P = 0.008 and P = 0.08 for right and left ears), 6 KHz (P = 0.03 and P = 0.01 for right and left ears), and 14 KHz (P =0.03 and P = 0.31 for right and left ears). However, there was no significant difference between audiometric thresholds before and 24 hours after MRI. Conclusion. Noise due to 1.5 Tesla MRI can only cause transient threshold shift.
How Convolutional Neural Networks Diagnose Plant Disease
Authors: Toda Yosuke , Okura Fumio
Published: June 2019

Deep learning with convolutional neural networks (CNNs) has achieved great success in the classification of various plant diseases. However, a limited number of studies have elucidated the process of inference, leaving it as an untouchable black box. Revealing the CNN to extract the learned feature as an interpretable form not only ensures its reliability but also enables the validation of the model authenticity and the training dataset by human intervention. In this study, a variety of neuron-wise and layer-wise visualization methods were applied using a CNN, trained with a publicly available plant disease image dataset. We showed that neural networks can capture the colors and textures of lesions specific to respective diseases upon diagnosis, which resembles human decision-making. While several visualization methods were used as they are, others had to be optimized to target a specific layer that fully captures the features to generate consequential outputs. Moreover, by interpreting the generated attention maps, we identified several layers that were not contributing to inference and removed such layers inside the network, decreasing the number of parameters by 75% without affecting the classification accuracy. The results provide an impetus for the CNN black box users in the field of plant science to better understand the diagnosis process and lead to further efficient use of deep learning for plant disease diagnosis.
Fuzzy C-Means, ANFIS and Genetic Algorithm for Segmenting Astrocytoma –A Type of Brain Tumor
Authors: Sharma Minakshi , Mukherjee Saourabh
Published: June 2019

Imaging plays an important role in medical field like medical diagnosis, treatment planning and patient follow up. Image segmentation is the backbone process to accomplish these tasks by dividing an image in to meaningful parts which share similar properties.  Medical Resonance Imaging (MRI) is primary diagnostic technique to do image segmentation. There are several techniques proposed for image segmentation of different parts of body like Region growing, Thresholding, Clustering methods and Soft computing techniques  (Fuzzy Logic, Neural Network, Genetic Algorithm).The proposed research work uses Grey level Co-occurrence Matrix (GLCM) for texture feature extraction, ANFIS(Adaptive Network Fuzzy inference System) plus  Genetic Algorithm for feature selection and FCM(Fuzzy C-Means) for segmentation of  Astrocytoma (Brain Tumor) with all four Grades. The comparative study between FCM, FCM plus K-mean, Genetic Algorithm, ANFIS and proposed technique shows improved Accuracy, Sensitivity and Specificity.
Quality Model and Artificial Intelligence Base Fuel Ratio Management with Applications to Automotive Engine
Authors: Piltan Farzin , Bazregar Mansour , Kamgari Marzieh , Piran Mojdeh , Akbari Mehdi
Published: June 2019

In this research, manage the Internal Combustion (IC) engine modeling and a multi-input-multi-output artificial intelligence baseline chattering free sliding mode methodology scheme is developed with guaranteed stability to simultaneously control fuel ratios to desired levels under various air flow disturbances by regulating the mass flow rates of engine PFI and DI injection systems. Nevertheless, developing a small model, for specific controller design purposes, can be done and then validated on a larger, more complicated model. Analytical dynamic nonlinear modeling of internal combustion engine is carried out using elegant Euler-Lagrange method compromising accuracy and complexity. The fuzzy inference baseline sliding methodology performance was compared with a well-tuned baseline multi-loop PID controller through MATLAB simulations and showed improvements, where MATLAB simulations were conducted to validate the feasibility of utilizing the developed controller and state estimator for automotive engines. The proposed tracking method is designed to optimally track the desired FR by minimizing the error between the trapped in-cylinder mass and the product of the desired FR and fuel mass over a given time interval.
Handover Decision Mechanism in Interworking Technologies Using Radial Basis Functions
Authors: Mahajan Payal , Singh Kuldeep , Kaur Hardeep
Published: June 2019

As a mobile user travels between radio networks, a handover mechanism is required to vary its radio connection. The persistence of a call is one of the major quality measurements in wireless cellular networks. Handover mechanism permits a cellular network to offer such a facility by again allocating an ongoing call from one base station to another base station. To achieve handover neural network techniques can be used. In this paper, a handover decision mechanism is proposed using Radial Basis function (RBF) of neural networks.
Fingerprint Classification Using Fuzzy-neural Network and Other Methods
Authors: Tazight Idriss , Fakir Mohamed
Published: June 2019

The fingerprints are unique to each individual; they can be used as a means to distinguish one individual from another.Therefore they are used to identify a person. Fingerprint Classification is done to associate a given fingerprint to one of the existing classes, such as left loop, right loop, arch, tented arch and whorl. Classifying fingerprint images is a very complex pattern recognition problem, due to properties of intra-class diversitiesand inter-class similarities. Its objective is to reduce the responsetime and reducing the search space in an automatic identificationsystem fingerprint (AIS), in classifying fingerprints. In these papers we present a system of fingerprint classificationbased on singular characteristics for extracting feature vectorsand neural networks and fuzzy neural networks, SVM and Knearest neighbour for classifying.
A Fuzzy Logic Based DSTATCOM for Diesel Generation System for Load Compensation
Authors: BUSI JACOB PRABHAKAR , YELAVARTHI SRINIVASARAO
Published: June 2019

This paper proposes the concept of distributed static compensator for compensation of harmonics, unbalances and reactive powers. The main aim of this diesel electrical generator is to generate electrical power and transfer to the distribution point. The main problems occurred in this distribution systems are voltage distributions, interruptions and variations in distribution system also called as power quality problems. The FACTS controllers are classified into different types based on improvement of power quality. These facts devices are classified based on their construction and connection to the line i.e. called as series and shunt converters. This paper also concentrate on the concept of fuzzy logic controller for getting better performance as compared with the previous conventional controllers. Basically, the fuzzy controller has the advantage of low steady state error and also it reduces the These experimental diagrams are verified in Matlab/Simulink and the results are verified for both PI and Fuzzy controllers.
Classification of Power Quality Events Using Wavelet Analysis and Probabilistic Neural Network
Authors: Sinha Pampa , Debath Sudipta , Goswami Swapan Kumar
Published: June 2019

Power quality studies have become an important issue due to widespread use of sensitive electronic equipment in power system. The sources of power quality degradation must be investigated in order to improve the power quality. Switching transients in power systems is a concern in studies of equipment insulation coordination. In this paper a wavelet based neural network has been implemented to classify the transients due to capacitor switching, motor switching, faults, converter and transformer switching. The detail reactive powers for these five transients are determined and a model which uses the detail reactive power as the input to the Probabilistic neural network (PNN) is set up to classify the above mentioned transients. The simulation has been executed for an 11kv distribution system. With the help of neural network classifier, the transient signals are effectively classified.
Implementation of Business Intelligence For Sales Management
Authors: Moustaid Bouzekri , Fakir Mohamed
Published: June 2019

Today's company operates in a socio-economic environment increasingly demanding. In such a context, it is obliged to adopt a competitive approach by exploiting at best the information that it possesses for developing appropriate action plans and taking effective decisions. The decision support systems provide to the enterprise the tools that help it for decision-making based on techniques and methodologies coming from domain of applied mathematics such as optimization, statistics and theory of the decision. The decision support systems are composed of various components such as data warehouses, ETL tools and reporting and analysis tools.
Expert System for Decision Support Division of Inheritance According to Islamic Law
Authors: Andikos Adi Fitra , Ali Gunawan , Purnomo Wulan Andang
Published: June 2019

Develop an expert system as supporting legacy property distribution of decision which based on the Islamic law. This expert system expected can help everyone who need distribution value of legacy property by using distribution method based on the Islamic law. The legacy property value which will be distributed is legacy property after taken by the will if it was. And debt, corpse of administration cost. The distribution result is an percentage value for each heir who have right to get the property legacy after distribution process. Determination of nominal value of legacy property will not be count in this system. The user system can obtain nominal value of distribution property by multiplying the distribution percentage with whole value of legacy property. The result that taken form this expert system is output as information of heir group who has right to the legacy, and percentage value for each heir who has right to get the legacy. The inference method that used in this expert system is Forward Chaining Method. The method that used for system analysis and designing is Data Flow Oriented method by using Data Flow Diagram (DFD) tool. The database design is using Entity-Relationship Diagram (E-R Diagram) relation model.
Assessing State of the Art on Artificial Neural Network Paradigms for Level of Eutrophication Estimation of Water Bodies
Authors: Anthwal Tushar , Pandey M K
Published: June 2019

With growing power of computer and blend of intelligent soft wares, the interpretation and analytical capabilities of the system had shown an excellent growth, providing intelligence solutions to almost every computing problem. In this direction here we are trying to identify how different geocomputation techniques had been implemented for estimation of parameters on water bodies so as to identify the level of contamination leading to the different level of eutrophication. The main mission of this paper is to identify state-of-art in artificial neural network paradigms that are prevailing and effective in modeling and combining spatial data for anticipation. Among this, our interest is to identify different analysis techniques and their parameters that are mainly used for quality inspection of lakes and estimation of nutrient pollutant content in it, and different neural network models that offered the forecasting of level of eutrophication in the water bodies. Different techniques are analyzed over the main steps;-assimilation of spatial data, statistical interpretation technique, observed parameters used for eutrophication estimation and accuracy of resultant data.
Parser Extraction of Triples in Unstructured Text
Authors: D'Souza Shaun
Published: June 2019

The web contains vast repositories of unstructured text. We investigate the opportunity for building a knowledge graph from these text sources. We generate a set of triples which can be used in knowledge gathering and integration. We define the architecture of a language compiler for processing subject-predicate-object triples using the OpenNLP parser. We implement a depth-first search traversal on the POS tagged syntactic tree appending predicate and object information. A parser enables higher precision and higher recall extractions of syntactic relationships across conjunction boundaries. We are able to extract 2-2.5 times the correct extractions of ReVerb. The extractions are used in a variety of semantic web applications and question answering. We verify extraction of 50,000 triples on the ClueWeb dataset.
Takagi-Sugeno Fuzzy Perpose as Speed Controller in Indirect Field Oriented Control of Induction Motor Drive
Authors: Ariff Roslina Mat , Hanafi Dirman , Utomo Wahyu Mulyo , Zin Nooradzianie Muhammad , Sim Sy Yi , Bohari Azuwien Aida
Published: June 2019

This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor. The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, Takagi-Sugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach.
Multilayer neural network synchronized secured session key based encryption in wireless communication
Authors: Sarkar Arindam
Published: June 2019

In this paper, multilayer neural network synchronized session key based encryption has been proposed for wireless communication of data/information. Multilayer perceptron transmitting systems at both ends accept an identical input vector, generate an output bit and the network are trained based on the output bit which is used to form a protected variable length secret-key. For each session, different hidden layer of multilayer neural network is selected randomly and weights or hidden units of this selected hidden layer help to form a secret session key. The plain text is encrypted through chaining , cascaded xoring of multilayer perceptron generated session key. If size of the final block of plain  text is less than the size of the key then this block is kept unaltered.  Receiver will use identical multilayer perceptron generated session key for performing deciphering process for getting the plain text. Parametric tests have been  done and results are compared in terms of Chi-Square test, response time in transmission with some existing classical techniques, which shows comparable results for the proposed technique.
Sympathetic Neural Overdrive in the Obese and Overweight State
Authors: Grassi Guido , Biffi Annalisa , Seravalle Gino , Trevano Fosca Quarti , Dell’Oro Raffaella , Corrao Giovanni , Mancia Giuseppe
Published: June 2019

Nerve traffic recordings (muscle sympathetic nerve traffic [MSNA]) have shown that sympathetic activation may occur in obesity. However, the small sample size of the available studies, presence of comorbidities, heterogeneity of the subjects examined represented major weaknesses not allowing to draw definite conclusions. This is the case for the overweight state. The present meta-analysis evaluated 1438 obese or overweight subjects recruited in 45 microneurographic studies. The analysis was primarily based on MSNA quantification in obesity and overweight, excluding as concomitant conditions hypertension, metabolic syndrome, and other comorbidities. Assessment was extended to the relationships of MSNA with other neuroadrenergic markers, such as plasma norepinephrine and heart rate, anthropometric variables, as body mass index, waist-to-hip ratio, presence/absence of obstructive sleep apnea, and metabolic profile. Compared with normoweights MSNA was significantly greater in overweight and more in obese individuals (37.0±4.1 versus 43.2±3.5 and 50.4±5.0 burts/100 heartbeats,
P
<0.01). This was the case even in the absence of obstructive sleep apnea. MSNA was significantly directly related to body mass index and waist-to-hip ratio (
r
=0.41 and
r
=0.64,
P
<0.04 and <0.01, respectively), clinic blood pressure (
r
=0.68,
P
<0.01), total cholesterol, LDL (low-density lipoprotein) cholesterol, and triglycerides (
r
=0.91,
r
=0.94, and
r
=0.80, respectively,
P
<0.01) but unrelated to plasma insulin, glucose, and homeostatic model assessment for insulin resistance. No significant correlation was found between MSNA, heart rate, and norepinephrine. Thus, obesity and overweight are characterized by sympathetic overactivity which mirrors the severity of the clinical condition and reflects metabolic alterations, with the exclusion of glucose/insulin profile. Neither heart rate nor norepinephrine appear to represent faithful markers of the muscle sympathetic overdrive.
New record of the genus Caputanurina Lee, 1983 (Collembola: Neanuridae) from China, with description of a new species
Authors: WU DONGHUI , YIN WENYING
Published: June 2019

Caputanurina sinensis, a new species from Anshan city, Liaoning Province, Northeast China, is described in the present paper. A key to the species of the genus Caputanurina is provided.
Two new genera of oscinelline Chloropidae (Diptera) from Costa Rica
Authors: WHEELER TERRY A.
Published: June 2019

Medeventor gen. n. is described for the type species Medeventor nubosus sp. n. (type locality: Costa Rica: Monteverde). Medeventor is distinguished from other Oscinellinae on the basis of a large, extensively setulose body, reduced cephalic and thoracic setae, a broad but weak facial carina and broad rugose gena. It appears to be most closely related to the Old World genera Lipara Meigen and Pseudeurina de Meijere. Oscinicita gen. n. is described for the type species Oscinicita hansoni sp. n. (type locality: Costa Rica: San Pedro de la Tigra). Oscinicita is distinguished by its minute size, reduced wing venation and structure of the gena, face and frons. Its phylogenetic placement within the family is unknown.
New species of Nanexila Winterton & Irwin and Taenogera Kröber from Australia (Diptera: Therevidae)
Authors: WINTERTON SHAUN L.
Published: June 2019

Two new species are desc r ibed in eac h of the closel y related gener a Nanexila Wintert on & Irwin an d Taenogera Kröber. Nanexila atricauda sp. nov. and Nanexila jimrodmani sp. nov. are described. The phylogeneti c placement and diagnostic characteristics of these new species an d othe r species recently transferred t o Nanexila ar e discussed . Taenogera luteola sp. nov. and Taenogera brunnea sp. nov. ar e distinctive species descr ibed f r om female specimens collected in Queensland. Taenogera is diagnosed in light o f these new species and a revised ke y to species presented.
A new fossil mordellid (Coleoptera: Tenebrionoidea: Mordellidae) from the Yixian Formation of Western Liaoning Province, China
Authors: LIU MING , LU WENHUA , REN DONG
Published: June 2019

A new genus and species, Mirimordella gracilicruralis gen. et sp. nov., in the subfamily Praemordellinae of Mordellidae, is described and illustrated based on a nearly complete fossil specimen. It is from the Yixian Formation of western Liaoning Province, NE China. The diagnosis of the subfamily Praemordellinae is emended based on this new species. Characters such as simple and linear maxillary palpi, simple claws, simple penultimate segments of fore and middle tarsi, small hind coxal plates, slender hind femora, only apical ridges on hind tibiae and tarsi, and no elongated last tergum suggest that Praemordellinae might be the precursor of modern mordellids. The resemblance between the new species and the Late Jurassic Praemordella martynovi indicates close relationships between them and with the tribe Stenaliini in the subfamily Mordellinae. The position of epicoxa and slender hind femur suggest that the new species may be more primitive than Praemordella martynovi and may indicate the age of the Yixian Formation no later than Late Jurassic.
Almunisna Dworakowska (Hemiptera: Cicadellidae: Typhlocybinae: Typhlocybini): a genus newly recorded from China with description of a new species
Authors: HUANG MIN , ZHANG YALIN L.
Published: June 2019

The leafhopper genus Almunisna was described by Dworakowska (1969) with new species Almunisna bulbosa from Nepal as its type species. There have been no further reports on it. Here we record Almunisna from China for the first time based on A. bulbosa Dworakowska from Yunnan and a new species, A. quadratosa from Fujian, which we describe and illustrate. A key to separate males is presented. The type and observed specimens are deposited respectively in Chinese Agriculture University, Beijing (CAU), and Northwest A&F University, Yangling (NWAFU).
Ibericancridae, a new dakoticancroid family (Decapoda, Brachyura, Podotremata) from the upper Campanian (Upper Cretaceous) of Spain
Authors: ARTAL PEDRO , GUINOT DANIÈLE , VAN BAKEL BARRY , CASTILLO JUAN
Published: June 2019

A small faunule of crabs from the upper Campanian (Upper Cretaceous) of Valencia, eastern Spain, is described as Ibericancer sanchoi n. gen., n. sp., and assigned to a new family, the Ibericancridae n. fam., which is placed in the Dakoticancroidea Rathbun, 1917, until now known to comprise a single family, Dakoticancridae Rathbun, 1917, restricted to the Upper Cretaceous of North America and northeast Mexico. The Ibericancridae n. fam. shares with the Dakoticancridae the general shape and size of the carapace, the arrangement of dorsal regions of the carapace, a pleural suture situated at carapace flanks, insertion of a sternal thoracic portion between abdomen and coxae of the pereiopods, and long P2 and P3. Ibericancer n. gen. differs from the four genera currently included in the Dakoticancridae (Dakoticancer Rathbun, 1917; Tetracarcinus Weller, 1905; Avitelmessus Rathbun, 1923 and Seorsus Bishop, 1988), in having P4 and P5 conspicuously reduced and subdorsal in position, a narrower thoracic sternum, and distinct frontal and orbital features. Because the male and female gonopores are located on the pereiopods, P5 and P3 coxae, respectively, and the spermathecal aperture is at the extremity of the thoracic suture 7/8, the Dakoticancroidea conforms to the Podotremata Guinot, 1977. It is here interpreted as a carcinised podotreme superfamily, the broadening of the thoracic sternum being weak in the Ibericancridae n. fam., but distinct in the Dakoticancridae. Dakoticancroid crabs probably employed a carrying behaviour, as do most podotremes, and were characterised by an abdominal holding of the press button type. Morphological characters of the Ibericancridae n. fam. add significantly to our knowledge of the evolutionary processes within the Podotremata.
Two new species of Notogynaphallia Ogren & Kawakatsu (Platyhelminthes: Tricladida: Terricola) from Southern Brazil
Authors: LEMOS VIRGÍNIA SILVA , LEAL-ZANCHET ANA MARIA
Published: June 2019

Two new species of Notogynaphallia Ogren & Kawakatsu, 1990, from South Brazil, are described. Notogynaphallia pseudoceciliae sp. nov. and Notogynaphallia arturi sp. nov., present elongate bodies with parallel margins and the dorsum with five dark longitudinal stripes on a yellowish background. Additionally, N. arturi has two large lateral bands of brown pigment between the paramedian and lateral stripes. Both species, which are appended to a complex of striped species previously described for the genus Notogynaphallia, show a unique combination of characters of external and internal morphology.