bluuebunny/crossref_metadata_2025 huggingface dataset:
Regional Agri-Food Policy of The Russian Federation in The Framework of The National Food Security System
Authors:   Plekhanov Russian University of Economics, Moscow, Russia., Ananiev* M.A. , Ananieva O.M. ,   Mordovia State Pedagogical Institute named after M.E. Evsevev, Saransk, Russia., Burlankov S.P. ,   Plekhanov Russian University of Economics, Moscow, Russia., Sedova N.V. ,   Plekhanov Russian University of Economics, Moscow, Russia.
Published: August 2019

The objective of the study is to clarify the theoretical provisions of strategic management mechanism for the development of regional food security systems in the Russian Federation, considering the specifics of their status and conditions, under which the systems operate. The research aims to strengthen the mechanism’s presence in the food market and clarify the parameters of management influence based on the justification of the main provisions of the regional agri-food policy.
ANFIS for Tamil Phoneme Classification
Authors:   Department of Computer Science, Dr. G.R. Damodaran College of Science, Coimbatore, India., B.R.* Laxmi Sree , M.S. Vijaya ,   Department of Computer Science, PSGR Krishnammal College for Women, Coimbatore, India.
Published: August 2019

Phoneme recognition is an intricate problem lying under non-linear systems. Most research in this area revolve around try to model the pattern of features observed in the speech spectra with the use of Hidden Markov Models (HMM), various types of neural networks like deep recurrent neural networks, time delay neural networks, etc. for efficient phoneme recognition. In this paper, we study the effectiveness of the hybrid architecture, the Adaptive Neuro-Fuzzy Inference System (ANFIS) for capturing the spectral features of the speech signal to handle the problem of Phoneme Recognition. In spite of a wide range of research in this field, here we examine the power of ANFIS for least explored Tamil phoneme recognition problem. The experimental results have shown the ability of the model to learn the patterns associated with various phonetic classes, indicated with recognition improvement in terms of accuracy to its counterparts.
Controlling The Variac Through Arduino With Remote Access Control Using The Stepper Motor
Authors:   10th and 12th from Indraprastha International School and his B. tech from SRM Institute of Science and Technology., Malik* Tejas , Saxena Ratnesh Kumar ,   10th and 12th from Jingle Bells Public School, Bareilly, Uttar Pradesh and his B. tech from SRM Institute of Science and Technology, Modinagar., Jeeva C. ,   Ph. D from National Institute of Technology Patna., Aditya Aman ,   10th and 12th from St. Xavier’s School, Bokaro Steel City, Jharkhand and his B. tech from SRM Institute of Science and Technology, Modinagar.
Published: August 2019

In this paper being presented, we propose designing the controlling system using an Arduino Uno microcontroller board for an auto-transformer attached to a permanent magnet stepper mechanism. We can create a control model by employing a stepper motor regulated with an Arduino Uno board. In the presented method of Arduino plug-in contrsol-based design, altering between states is attained by event triggering or provisional modification like a manual operator input which is maintaining the probable voltage output in autotransformer. The system involves the interconnection of drivers to the stepper motor connected to the autotransformer with the help of gear arrangement. The stepper motor was controlled through an Arduino Uno microcontroller board and as per the program requirements as per the application output through variac. The Arduino is fueled by a battery and a LED is linked for its indication.
A Code-Based Digital Signature Scheme Using Modified Quasi-Cyclic Low-Density Parity-Check Codes (QC-LDPC)
Authors:   B. Sc, M.Sc. and M. Phil degrees in Mathematics from Pt. Ravishankar Shukla University, Raipur, Chattisgarh, India., Sahu* Renuka , Tripathi B. P. ,   Assistant Professor, in the Deptt. of Mathematics, Govt. N. PG. College of Science, Raipur, India.
Published: August 2019

Nowadays, all our information are kept in electronic form using the internet and trust that it cannot be accessed by anyone except the intended recipient. For the sake of this purpose, digital signature schemes play a significant role in providing authenticity and record management efficiency. A digital signature is an encoded record that moves with the electronically available document which needs to be signed and returns after the transaction has been completed. In code-based cryptography many digital signature scheme were given among them is CFS code-based digital signature scheme introduced in 2001. It is still considered to be the most popular electronically based signature scheme. The major drawback of this algorithm is its large publickey size. Due to this problem of CFS algorithm, new scheme is presented in this paper using the modified Quasi Cyclic LDPC code and LLR-BP decoding algorithm by replacing the Goppa code and the Patternson decoding scheme for the signing process. This scheme provides a fast and secure signature with public key size smaller than the previously existing schemes and it also strengthens the signature without being compromised with its security.
Artificial Neural Network Based Water Quality Forecasting Model for Ganga River
Authors:   Computer Science & Information Technology, Mahatma Jyotibha Phule Rohilkhand University, Bareilly, India., Bisht* Anil Kumar , Singh Ravendra ,   Computer Science & Information Technology, Mahatma Jyotibha Phule Rohilkhand University, Bareilly, India, Bhutiani Rakesh ,   Deptt. of Env. Sc., Gurukula Kangri University, Haridwar, Uttarakhand, India., Bhatt Ashutosh ,   Deptt. of Computer Science and Engg., BIAS, Bhimtal, Uttarakhand, India.
Published: August 2019

Development of river water quality forecasting model (RWQFM) created using the concept of artificial neural network (ANN) for the river Ganga, India still has not been done as far as best awareness of the authors. In this research work an effort have been made for developing such model first time for the stream Ganga in the stretch from Devprayag to Roorkee, Uttarakhand, India by choosing five testing stations along this waterway. The month to month exploratory dataset for the time arrangement of 2001 to 2015 including four water quality parameters was taken. Using one of the proficient machine learning approach called ANN an optimal model is developed by conducting several experiments in Weka data mining tool. In advance the water quality is forecasted for next 12 months and the forecasting accuracy is determined using various performance measures. The computation of 12-steps ahead WQ indicated that the water comes out to be suitable for drinking throughout the year 2016 only at three stations: Devprayag, Rishikesh and Roorkee. At Haridwar station, the water is also comes out to be of best quality but only in nine months. In last quarter of 2016, a little degradation at Haridwar station while a crucial deterioration was noticed at Jwalapur site. The results showed that the proposed WQ model is more efficient in terms of the forecasting accuracy. At Rishikesh station the developed forecasting model achieved a noteworthy accuracy of 100%. Thus, the proposed ANN forecasting model is verified as an effective model and concluded that in overall the WQ of the Ganga River in this stretch is fine in 2016. Also, ANN has proven its significance as an efficient tool in the forecasting domain. Such models will definitely be helpful for the water management bodies in order to control the river pollution and consequently help the society as well.
Learn Hangeul: An Android Korean Language Learning Application for Indonesian
Authors:   Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia, Nadyati*  , Hansun Seng ,   Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia
Published: August 2019

South Korea is a country that has been the center of world's attention because of its music and drama progress. The Korean language is a language that Korean people use to communicate with each other. Hangeul is an alphabet used to write the Korean language. Learning application is a way to introduce the Korean Language to people who want to learn the language; therefore, we built an application called Learn Hangeul. It contains an introduction to the alphabet and basic words, and also equipped with a quiz feature. Fisher-Yates Shuffle method is used for shuffling the questions in the application’s Quiz feature. User satisfaction after using the application be measured using a Likert scale, and the result in usefulness, satisfaction, and ease of learning are satisfied.
A New Process for the Production of Biodiesel from Used Vegetable Oil
Authors:   Assistant Professor, Department of Chemistry, Arumugam Pillai Seethai Ammal College, Research Scholar, Alagappa University, Karaikudi. TN, INDIA., Balasundaram* A. , Cyril A. ,   Head & Assistant professor, PG & Research Department of Chemistry, Raja Doraisingam Government Arts College Sivganga ,TN, INDIA.
Published: August 2019

Production of biodiesel from triglycerides (vegetable oil) is usually done through transesterification with alcohols in the presence of acid or base catalyst. When this oil contains free fatty acid of more than 5 percent due to repeated use for frying, the transesterification process can not be used to produce biodiesel. In this paper, a new method for producing biodiesel even for used vegetable containing higher or any amount of free fatty acid is discussed. This method involves complete saponification of the triglycerides and free fatty acids (FFA) by reacting it with sodium hydroxide solution to give sodium salt of fatty acid (SOAP). This soap when treated with a mineral acid, separates into four layers, the top layer which is also the primary layer is the free fatty acid (FFA), the second layer is the glycerol, the third layer is the water layer, and the bottom layer is the residue of solid sodium salt. The top layer free fatty acid(FFA) is easily separated and then esterified with ethanol in the presence of a mineral acid as a catalyst to get the biodiesel (ethyl ester of FFA). The product obtained by the above process is analyzed and confirmed by FT-IR spectra. This process does not involve high temperature and pressure. The advantages of this new process are that it is much environmentally friendly compared with any other methods of production of biodiesel with less processes time. Since the washing of biodiesel to remove the soap formed due to the presence of free fatty acid content in the feedstock is completely eliminated, there will be no effluent discharge to the environment and at the same time resulting in more yield. The significance of this method is that it can be used to obtain biodiesel from used vegetable oils, raw vegetable oil and tallows and especially for any feedstock material which contains any amount of free fatty acids.
Instability Evaluation of the Temperature Tracking and Transmission Corridors
Authors:   Lovely Professional University, Phagwara, Punjab 144411 India,, Shastri* Apoorva , Sharma Saaloni ,   DLF Centre,Bank of America ,Sansad Marg ,New Delhi 110001., Nargundkar Aniket ,   Symbiosis Institute of Technology, Symbiosis International (Deemed University), Lavale, Pune 412115 India
Published: August 2019

The developing improvements in electrical power physical body functional demands ask for a spread control center that is actually decentralized, incorporated, versatile, and additionally readily available. Modern nerve center is in fact transferring that direction along with differing degrees of results. Device broad installed phasor dimension devices deliver their determined information to a main personal computer, where snapshots of the compelling device actions are offered online. This brand-new high quality of body details opens up a variety of new apps to assess and also actively preserve unit's security just in case of voltage, slant or even regularity weakness, thermic overload, and oscillations. Recent established protocols as well as their layout for these application regions are offered.
Retrieval of Context and Content based Images using Enhanced Crow Search Optimization
Authors:   Research Scholar, CSE Department, JNTUK, Kakinada, INDIA, Rao* T.Y.Srinivasa , Reddy Dr. P. Chenna ,   CSE Department, JNTU, Ananthapur, INDIA
Published: August 2019

In late decades, Content-Based Image Retrieval (CBIR) has been one on the most distinctive research zones in the field of Computer applications. The critical goal of this examination is to improve the recovering presentation of CBIR framework by fusing advancement strategies to foresee suitable centroid in Fuzzy C-Means (FCM).The expectation of consolidating streamlining method to anticipate FCM centroids positively decrease intricacy and computational time. The outcomes clear that consolidation of ECSO with FCM uncovers better outcomes over challenge procedures when compared with existing procedures like PWO, SSO and CSO.
A Modified Deep Learning Enthused Adversarial Network Model to Predict Financial Fluctuations in Stock Market
Authors:   Research Scholar, Dept. of CSE, S.V.U College of Engineering., S.V. University, Tirupati, India, Sabeena* Jasmine , Reddy Dr. Poli Venkata Subba ,   Professor, Dept. of CSE, S.V.U College of Engineering., S.V. University, Tirupati, India
Published: August 2019

Predicting financial fluctuations in the real-time stock market is considered to be a major problem due to dynamic changes in financial data. With the advent of using artificial intelligent techniques in the context of predicting the patterns, artificial neural networks have drawn the attention of various researchers to implement the same in several computational applications. Addressing this problem, a modified adversarial network based framework is proposed with the integration of gated recurrent unit and convolution neural network. The main objective of this model is to acquire data from online financial sites and to process the obtained information using adversarial network to generate predictions.
Improved Image Denoising with the Integrated Model of Gaussian filter and Neighshrink SURE
Authors:   Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, India., Naragund* Mukund N , Jagadale Basavaraj N ,   Department of PG studies and research in Electronics,Kuvempu University, Shimoga, India., B S Priya ,   Department of Electronics, Kuvempu University, Shimoga, India., Panchaxri  ,   Department of Electronics, SSA Govt. First grade College, Ballari , India., Hegde Vijayalaxmi ,   Department of Electronics, MESMM Arts and Science College, Sirsi, India.
Published: August 2019

Image denoising, being an important preprocessing stage in image processing, minimizes the noise interfering with the information content of the image. The denoising problems are addressed by various techniques starting from the Fourier transforms to wavelets. Because of the localized time frequency features and advantages of multi resolution capabilities, the wavelets have been extensively used in the denoising process. The development of algorithms for the wavelet thresholding or shrinkage strategies along with different filters have resulted in the betterment of image quality after the denoising. Even though the image denoising algorithm based on a combination of Gaussian and Bilateral filters, shows good performance but lacks in consistency with respect to the noise levels and also the type of images used. This paper discusses the advantages of NeighShrink SURE rule in developing an effective thresholding strategy, thereby proposing a improved denoising method incorporating the NeighShrink SURE rule along with combination of Gaussian filter model. The methodology employs the use of subband thresholding derived from the NeighShrink SURE rule. The outcome of the proposed method exhibits a comparatively improved performance in Peak Signal to Ratio (PSNR) and Image Quality Index (IQI) values of the test images.
Improving the lifetime of Wireless Sensor Network through Energy Proficient AODV Protocol
Authors:   Research Scholar, Department of Computer Science, Sree Saraswathi Thyagaraja College, Pollachi, India and Assistant Professor, Department of Information Technology, Sri Krishna Arts and Science College, Coimbatore, India., H* Vignesh Ramamoorthy , Gunavathi Dr. R. ,   Associate Professor and Head, Department of MCA, Sree Saraswathi Thyagaraja College, Pollachi, Coimbatore, India.
Published: August 2019

Wireless Sensor Network (WSN) is an emerging technology, which enables new innovative trends and equipments to resolve the issues of current and future world. The WSN is a combination of tiny sensor nodes equipped with a minimal battery power, mini processor and a RAM. The battery is non-rechargeable in nature and thus the need for energy efficiency becomes a vital task for WSN. This paper deals with improving the energy efficiency through Energy Proficient AODV protocol (EP-AODV). The proposed work utilizes minimal energy, power amplification and efficient routing technique to improve lifetime of the network. Comparison of EP-AODV with other existing schemes, EP-AODV achieves better throughput, energy efficient, First-Nod-Dies ratio and so on. Thus, the proposed EP-AODV protocol achieves better energy efficient protocol for WSN.
Saliency Object Detection from Video Streams using Salient-Graph Model with High-Level Background Prior
Authors:   Research Scholar, Jayoti Vidyapeeth Women’s University, Jaipur, India., Kshatri* Ruchi , Dr. Kavita  ,   Associate Professor, Jayoti Vidyapeeth Women’s University, Jaipur, India
Published: August 2019

This study proposes a novel salient graph model with high-level background prior. As usual, the collected data is pre-processed and then used for segmentation analysis. Object detection is still a daunting task due to increased complexity of false positive rate. Thus, a salient graph model is constructed using high-level background prior. Initially, the contrast of an image enhanced for superpixels and used for finding the shortest path of visible region. Then, saliency map is formed by spatial analysis of those visible superpixels. In salient post-processing, the salient graph is constructed by labelling background nodes with minimized cost. Based on formed salient region, each adjacent superpixel with background nodes are used for queries. Atlast, the estimated saliency and objectness measures detects the objects with minimal constraints. The proposed framework is analyzed on SegTrack and SegTrack 2, video segmentation dataset. The results states that the proposed method achieves better results than state of the art models by improved precision, recall, F-measure and computational time.
Determining the Impact of Artificial Intelligence on ‘Developing Marketing Strategies’ in Organized Retail Sector of West Bengal, India
Authors:   Associate Professor, School of Management & Social Science, Haldia Institute of Technology, MAKAUT, West Bengal., Giri Dr. Arunangshu , Chatterjee Satakshi ,   Assistant Professor, Department of Pharmaceutical Management, Haldia Institute of Management, MAKAUT, West Bengal., Paul Dr. Pradip ,   Senior Manager (Retail Sales), Haldia Divisional Office, Indian Oil Corporation Ltd., Haldia, West Bengal, India., Chakraborty Smita ,   Assistant Professor, Hospital Management Department, Haldia Institute of Health Sciences, West Bengal.
Published: August 2019

In this age of digitization, technology is evolving rapidly. Organizations are trying their best to match up with this evolution so that they are ready to face the competition in the market. Artificial Intelligence is the name of one such technology which is getting attention across the world because of its many advantages. Organized retail stores are one of the first sectors to successfully implement this technology in order to meet the demands of the customers. This technology also plays a crucial role in gathering the data as well as analyzing it. The results are useful for the development of new marketing strategies which might be adopted by the company in the future. This study aims to identify the factors which have a direct impact on the development of marketing strategies by the use of Artificial Intelligence. The study is limited to West Bengal, India. The target population was the employees who work in the retail outlets. Reliability as well as validity study along with Multiple Regression Analysis was implemented in this study. Some crucial factors were identified which were helpful in the designing of the effective and efficient marketing strategies of the retail sector firms through the extensive use of Artificial Intelligence.
Fast and Cost Efficient Face Detection System with CNN Using Raspberry PI
Authors:   Assistant Professor Electronics and Communication Engineering. Saveetha School of Engineering, SIMATS, Poonamalle, Chennai, Kumar S Pravin , Balachander Ms. Bhuvaneswari ,   Assistant Professor for the department of ECE, Saveetha School of Engineering, SIMATS, Poonamalle, Chennai
Published: August 2019

Face detection is an important process when it comes to computer vision. It will serve as an input to a Facial expression and Face recognition system. Modern “C.C.T.V” cameras with face detection features are costly and only few are connected to the internet. This paper proposes a Face detection system which detects faces with a fusion of Convolutional neural network and Gabor Filter. Gabor filter is used to extract important facial features and Convolutional neural network is used to train the model. Model weights files are executed in Raspberry PI which is cost efficient. Raspberry pi is connected to cloud service which will alert the user with SMS and E-mail.
Influence of Stacking Sequences on Tensile Behaviour of Areca-Kenaf Hybrid Epoxy Composite
Authors:   Lovely Professional University, Phagwara, Punjab, Shastri* Apoorva , Sathyaseelan* P. ,   Research Scholar at Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India., Sellamuthu Prabhukumar ,   Assistant Professor at Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
Published: August 2019

Sustainability of the natural fibers and its composite had created the curiosity among researchers around the globe. Owing to their improved mechanical and thermal properties, natural fiber based materials are replacing the synthetic fibers in most of the automobile, packing industries, sports equipment and semi-structural applications. In this research, the tensile properties of hybrid composite made up of Kenaf and areca fibers in six different stacking sequences with constant 10 weight percentage of wood dust as filler material is studied. Unsaturated polyester resin is used as the matrix. The specimens are prepared by using hand lay-up technique. The prepared specimens are tested for tensile properties as per ASTM Standard and compared with stacking sequence one (S1).The test results revealed that stacking sequence six (S6) of the specimen which has Kenaf fiber as top and bottom layers has about 155% increase in tensile strength.
Active Suspension with Model Predictive Control
Authors:   School of Electrical Engineering, Vellore Institute, of Technology, Vellore, India., Das* Rashmi Ranjan , Kumar E Vinodh ,   School of Electrical Engineering, Vellore Institute of Technology, Vellore, India.
Published: August 2019

This paper examines the performance of Model Predictive Control (MPC) scheme for an Active suspension. A vehicle suspension is designed to provide superior ride comfort and road handling characteristics. Unlike passive suspensions, the Active suspension can change the dynamic of suspension in real-time by injecting force into the system. MPC allows the active suspension to provide better and consistent passenger comfort and road handling capabilities for different road profile. Even though long back, the idea of active suspension conceived, the prohibitive cost and complexity restricted its usage. In recent years active suspension is receiving more and more attention with users preferring a high-end car. In an active suspension for the real-time adjustment of the control force, need a design of a controller. In literature, many controllers used such as Proportional Integral Derivative (PID), Linear Quadratic regulators (LQR), Fuzzy logic controller, Artificial Neural Networks (ANN). In this paper, revealed a model predictive control arrangement for Active suspension model. MPC is an optimal control scheme which uses a model of plant for predicting the future output. The control inputs are optimized such that these predicted outputs meet the desired level of performance. Tested the MPC control scheme is using a bench-scale replica of Quarter active suspension model from QUANSER. To better appreciate the capabilities of the MPC Control Scheme, compared the performance of the active suspension with that of an LQR control scheme, and passive suspension.
An Efficient Prediction of Share Price using Data Mining Techniques
Authors:   Student Master of Technology in Computer Science and Engineering, Gyan Ganga Institute of Technology and Sciences Jabalpur., Garg* Priyanka , Vishwakarma Santosh K. ,   Professor, CSE and Dean – Research & Entrepreneurship Cell G.G.I.T.S. Jabalpur.
Published: August 2019

The prediction of share prices is the function of deciding the future price of a company stock or other commercial tool traded. Prediction of some movements allowed from some patterns can be found. People are always attracted to invest in share market and stock exchanges as they provide huge financial profits, which is also an important for finance research. Prediction of share price is very difficult issue it depends upon such huge numbers of factors such organization financial status and national policy and so on. Nowadays stock costs are influenced because of numerous reasons such as organization-related news, political, socially efficient conditions and cataclysmic events. Many studies have been performed for the prediction of stock index value and daily direction of change in the stock index. Such huge numbers of models have been created for foreseeing the future stock costs yet everyone has their own weaknesses. This paper expects to study, develop and assess different techniques so as to foresee future stock trades. The experimental results states that different classification techniques can be successfully deploy for share price prediction.
Hybrid Search Optimization Algorithms for the Security Constrained Unit Commitment Solution
Authors:   Professor, Dept. of Electrical and Electronics Engineering, Swarnandhra College of Engineering and Technology, Narsapur, Andhra Pradesh, India., Mahil* J. , Kingsly A. Anto Spiritus ,   Professor, Dept. of Electronics and Communication Engineering, Swarnandhra College of Engineering and Technology, Narsapur, Andhra Pradesh, India., Addala Satyanarayana ,   Assistant Professor, Dept. of Electrical and Electronics Engineering, Swarnandhra College of Engineering and Technology, Narsapur, Andhra Pradesh, India.
Published: August 2019

The effect of a lot of wind has convoluted ramifications to Unit Commitment (UC) and Economic Dispatch (ED). The Security Constrained Unit Commitment (SCUC) is utilized to acquire a UC with the base expense and framework's security. Ordinarily, the SCUC's limitations incorporate the heap balance, the hold prerequisite, slope rate limits, minimum up and down time limits and network constraints. In this paper, Memetic Algorithm (MM) algorithm based Prediction Intervals (PIs) are executed utilizing hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) based Lower–Upper Bound Estimation (LUBE) technique for wind power conjecture vulnerability evaluation. At that point the wind control situations are fused into a SCUC model. Hybrid MM-Bee Colony algorithm is utilized to take care of the stochastic SCUC issue.
Pigmented villonodular synovitis of the temporomandibular joint: case report and the literature review for postoperative radiotherapy
Authors: Yang Xiaojing , Sun Yi , Yu Weiwei , Fu Jie
Published: August 2019

Pigmented villonodular synovitis (PVNS) is a benign proliferative disorder of the synovium that usually involves joints, tendon sheaths, and bursae. It presents rarely, however, in the temporomandibular joints (TMJs). This paper reports a 59-year-old female patient with PVNS of the TMJ and its clinico-pathologic features are discussed. The patient was treated with surgery and postoperative radiotherapy (PORT). Follow-up was conducted, and there were no recurrences, metastases, skin changes or joint stiffness noted. The main treatment of PVNS is surgical resection. However, postoperative radiotherapy is important for local control of extensive tumors or positive margins. We conducted a literature review for postoperative radiotherapy case reports related to PVNS of the TMJ.
Carotid body tumor: a case report and literature review
Authors: Hoang Van Trung , Trinh Cong Thao , Lai The Anh Khoa , Doan Dung Tien , Tran Thi Tinh Tam
Published: August 2019

The carotid body is the largest collection of paraganglia in the head and neck and is found on the medial aspect of the carotid bifurcation bilaterally. Carotid body tumors are rare neoplasms arising from the chemoreceptor cells of the carotid bulb. We report a case of carotid body tumor in a 42-year-old female, who presented with painless, pulsatile, gradually progressive lateral neck swelling. The diagnosis is suspected on the basis of history, clinical and radiological examination findings and a successful surgical excision of the tumor is performed. Histopathological examination confirms the diagnosis of carotid body tumor. We also present brief literature about carotid body tumors in terms of its clinical and imaging presentation, evaluation, and management.
La détention avant jugement en Belgique. Étude empirique des facteurs explicatifs du recours au mandat d’arrêt et de sa durée
Authors: Tange Carrol , Burssens Dieter , Maes Eric
Published: August 2019

Cet article présente les principaux résultats d’une recherche empirique s’efforçant d’expliquer les évolutions du recours à et de la durée de la détention avant jugement en Belgique. Un ensemble d’hypothèses a été testé sur la base d’une analyse de dossiers gérés entre 1993 et 2008 par les juges d’instruction de trois arrondissements (Bruxelles, Liège et Anvers) et de la réalisation de modèles statistiques des facteurs associés aux décisions et durées observées.
Comparison of Comprehensive Analyses Predicting Whirl Flutter Stability of the Wing and Rotor Aeroelastic Test System
Authors: Kreshock Andrew R. , Thornburgh Robert P. , Yeo Hyeonsoo
Published: August 2019

Whirl flutter stability is a critical limitation for tiltrotor aircraft. This paper investigates whirl flutter predictions for the Wing and Rotor Aeroelastic Test System (WRATS) using comprehensive analysis, focusing on the comparison of the whirl flutter stability predictions between
Comprehensive Analytical Model of Rotorcraft Aerodynamics and Dynamics (CAMRAD) II and the Rotorcraft Comprehensive Analysis System (RCAS). The analytical models were created using a modular approach to systematically validate the modeling process of the WRATS tiltrotor. Comparison of nonrotating
frequencies for blade, flexbeam, flexbeam and cuff, and blade with flexbeam and cuff shows excellent agreement between CAMRAD II and RCAS. The assembled model is then used to predict the whirl flutter stability boundary for various configurations with varying levels of fidelity. Results show
near exact agreement between the two analyses for a rigid rotor and linear aerodynamics, and good to fair agreement when an elastic rotor is used. Predicted wing beam mode frequencies and damping values are also compared against the wind tunnel test data, and the frequencies are shown to be
reasonably well-predicted. However, damping values, and thus stability boundaries, are not accurately predicted.
Towards a Critical Green Southern Criminology: An Analysis of Criminal Selectivity, Indigenous Peoples and Green Harms in Argentina
Authors: Weis Valeria Vegh
Published: August 2019

This paper offers critical analytical tools to progress the development of a critical green southern criminology. Using Argentina as a case study, the article develops the notion of criminal selectivity to expose the biased functioning of the criminal justice system. The article explores how crime control is used to the detriment of Indigenous peoples, despite the fact that their protests do not produce significant social harm and are framed within constitutional rights. Conversely, the study exposes how the criminal justice system is not used to prosecute green harms perpetrated by corporations or the unlawful use of force against native peoples by law enforcement agencies, despite the harm of those behaviours on the environment and communities. The article exposes how the Argentinean criminal justice system targets the most vulnerable peoples while failing to provide environmental protections, and is an indicator of the bias within criminal justice systems in the Global South.
The Norway–Colombia Agreement to Protect Rainforest and Reduce Global Warming: Success or Failure?
Authors: Sollund Ragnhild , Maldonado Angela M , Brieva Rico Claudia
Published: August 2019

The Norwegian government has made an agreement with Juan Manuel Santos, former Colombian president, to give Colombia US$48 million yearly to reduce deforestation. This forms part of a greater effort by Norway to aid countries in the South to halt climate change, through the Norwegian International Climate and Forest Initiative, instituted after the Paris Agreement in 2015. The ways efforts to reduce deforestation have been implemented have been criticised. While Norway, through this investment, appears to be a climate-concerned country, it continues with oil extraction activities. Thus, Norway exhibits double standards and shifts the problem of climate change to the countries in the South. This article examines the successes and failures of the Norwegian rainforest protection efforts in the case of Colombia, assessing the governance of the deforestation policies from the perspective of green Southern criminology and incorporating a critique of the neo-colonialist means of environmental protection established by the North.
The Relationship Between the Study Habits and Attitudes and Metacognitive Reading Comprehension Self-Awareness, Reading Comprehension, Reading Attitudes
Authors: Memiş Aysel Demiroğlu , Kandemir Hülya
Published: August 2019

The aim of the study is to analyze the correlation between study habits and attitudes and metacognitive readingcomprehension self-awareness, reading comprehension and reading attitude of fifth-grade students. 313 students (193female, 188 male) consisted the sample group of the study using relational screening model. SSHA-Survey of StudyHabits and Attitudes, Form C”, “Metacognitive Reading Comprehension Self-Awareness Scale”, “ReadingComprehension” and, “Reading Attitudes Scale” were used. Moreover, students’ level of Turkish course success hasbeen identified by their grades from school reports of the first term of fifth grade. As the result of the study, it wasfound that the study orientation scores of the students were higher than the average and that their study attitudes werehigher than their studying habits. There was a mid-scale, positive and significant correlation between thesub-dimensions of their studying attitudes and habits. The levels of correlation between students’ success in Turkishcourse and their study orientation; between their metacognitive awareness of reading comprehension, readingcomprehension and studying habits with their studying orientation; between their metacognitive awareness of readingcomprehension, reading comprehension and reading attitude with study orientation, and between their metacognitiveawareness of reading comprehension and reading attitude with their study attitudes was found to be positive, mid-scaleand significant. However, the level of correlation between their metacognitive awareness of reading comprehensionand reading comprehension was found to be positive, low-scale and significant.
Performance of masonry buildings and churches in the 22 February 2011 Christchurch earthquake
Authors: Dizhur Dmytro , Ingham Jason , Moon Lisa , Griffith Mike , Schultz Arturo , Senaldi Ilaria , Magenes Guido , Dickie Jocelyn , Lissel Shelley , Centeno Jose , Ventura Carlos , Leite Joao , Lourenco Paulo
Published: August 2019

As part of the ‘Project Masonry’ Recovery Project funded by the New Zealand Natural Hazards Research Platform, commencing in March 2011, an international team of researchers was deployed to document and interpret the observed earthquake damage to masonry buildings and to churches as a result of the 22nd February 2011 Christchurch earthquake. The study focused on investigating commonly encountered failure patterns and collapse mechanisms. A brief summary of activities undertaken is presented, detailing the observations that were made on the performance of and the deficiencies that contributed to the damage to approximately 650 inspected unreinforced clay brick masonry (URM) buildings, to 90 unreinforced stone masonry buildings, to 342 reinforced concrete masonry (RCM) buildings, to 112 churches in the Canterbury region, and to just under 1100 residential dwellings having external masonry veneer cladding. In addition, details are provided of retrofit techniques that were implemented within relevant Christchurch URM buildings prior to the 22nd February earthquake and brief suggestions are provided regarding appropriate seismic retrofit and remediation techniques for stone masonry buildings.
Lessons learnt from 2011 Christchurch earthquakes
Authors: Palermo Alessandro , Wotherspoon Liam , Wood John , Chapman Howard , Scott Allan , Hogan Lucas , Kivell Anton , Camnasio Elena , Yashinsky Mark , Bruneau Michel , Chouw Nawawi
Published: August 2019

On 22 February 2011 the Mw6.2 Christchurch earthquake occurred with an epicentre less than 10 km from the Christchurch Central Business District (CBD) on an unknown buried fault at the edge of the city. The majority of damage was a result of lateral spreading along the Avon and Heathcote Rivers, with few bridges damaged due to ground shaking only. The most significant damage was to bridges along the Avon River, coinciding with the areas of the most severe liquefaction, with less severe liquefaction damage developing along the Heathcote River. Most affected were bridge approaches, abutments and piers, with a range of damage levels identified across the bridge stock. In the days following the earthquake, teams from various organizations performed inspections on over 800 bridges throughout the affected Canterbury region. This paper details the preliminary findings based on visual inspections and some preliminary analyses of highway and road bridges. The paper comprises information supplied by consulting engineering firms which were also directly involved in the inspections soon after the earthquake.
Performance of houses during the Christchurch earthquake of 22 February 2011
Authors: Buchanan Andrew , Carradine David , Beattie Graeme , Morris Hugh
Published: August 2019

The earthquake on 22 February 2011 was very close to Christchurch city, generating very high level ground excitations that caused severe geotechnical effects and widespread structural damage. This paper outlines the wide range of damage to houses resulting from liquefaction, lateral spreading, rockfall, and horizontal and vertical ground accelerations. The response of typical forms of house construction and structural components are discussed, with many different types of damage described. The majority of houses in the Christchurch region are one or two storey light timber frame buildings. This type of construction has performed extremely well for life safety, but thousands of houses have some degree of structural or non-structural damage. The New Zealand Building Code needs to be reviewed in several areas, especially the requirements for foundations and reinforced concrete floors.
Observations of the performance of earth buildings following the February 2011 Christchurch earthquake
Authors: Morris Hugh , Walker Richard
Published: August 2019

A reconnaissance survey of earth walled buildings in the Christchurch area was carried out following the February 2011 Christchurch Earthquake. Twenty six earth buildings were inspected during the survey including historic earth buildings and recent reinforced earth buildings. Some of these buildings had previously been inspected following the September 2010 Darfield Earthquake.

The February 2011 Earthquake caused comparable patterns of damage to earth buildings as the September 2010 Darfield earthquake except for unreinforced pressed brick buildings which performed particularly badly. Reinforced earth buildings constructed since the 1990’s performed well during the February 2011 earthquake provided the overall wall bracing was adequate and detailing of the reinforcement and connections were generally in accordance with the NZ Earth Building Standards. Some older unreinforced rammed earth buildings constructed between 1950 and 1980, all of which had reinforced concrete foundations and bond beams, performed relatively well with only minor cracking. Unreinforced cob and adobe buildings in the area of strong shaking suffered significant damage and will require reconstruction or repair of the walls and strengthening of the upper floor or ceiling diaphragms. The performance of six houses are discussed as case studies that cover the range of buildings observed.
Facade damage assessment of multi-storey buildings in the 2011 Christchurch earthquake
Authors: Baird Andrew , Palermo Alessandro , Pampanin Stefano
Published: August 2019

The magnitude 6.3 earthquake that struck Christchurch on the 22nd February 2011 caused widespread damage to the multi-storey buildings within Christchurch’s central business district (CBD). Damage to the facades of these buildings was a clear contributor to the overall building damage. This paper presents the damage assessment of the facade systems from a survey of 217 multi-storey buildings in the Christchurch CBD. The survey covers only buildings greater than three stories in height, excluding the majority of unreinforced masonry facades, of which damage has been well documented. Since a building can have more than one type of facade system, a total of 371 facade systems are surveyed. Observation of facade damage is discussed and is presented in terms of its performance level. Trends in facade performance are examined in relation the structural parameters such as construction age and height.
Soil liquefaction in Tokyo Bay area due to the 2011 Tohoku (Japan) earthquake
Authors: Orense Rolando , Yamada Suguru , Otsubo Masahide
Published: August 2019

A devastating earthquake hit the Tohoku and Kanto regions of Japan on 11 March 2011, causing extensive damage to life and property as a result of a large-scale tsunami and damage to nuclear power plants. Although located about 400 km away from the epicentre, many residential and commercial buildings and lifeline facilities in Tokyo Bay area suffered extensive damage due to soil liquefaction and associated ground deformation. This paper discusses the results of the damage investigation conducted in the area after the earthquake, with emphasis on liquefaction-induced damage to buildings, roads, lifelines and other infrastructure. In addition, the performance of ground improved by various remediation techniques is discussed. Finally, lessons learned from the event are summarised.
What can we do about earthquakes?
Authors: Alexander David
Published: August 2019

This paper discusses the possible means of achieving risk reduction and resilience against earthquake disasters. It begins with an enquiry into the evolving nature of the resilience concept, which has at its root the notions of participatory governance and livelihood protection. It then discusses the potential for saving human lives by greater utilisation of the evidence base derived from studies of earthquake epidemiology. For example, there may be an opportunity to improve self-protective behaviour as a means of reducing casualties, especially in combination with knowledge of typical modes of the performance of buildings during earthquakes. There follows a discussion of the particular seismic vulnerability of critical infrastructure, hospitals and schools, and the means of reducing it by planning and well-calculated intervention. Seismic risk management needs to be comprehensive and often neglects some important factors. Hence, the next section discusses three of them: the plight of minorities, the protection of cultural heritage, and the management of veterinary emergencies. Following this, there is a discussion of the requirements for viable recovery from earthquake disasters. These include the need to make reconstruction, risk reduction and emergency intervention sustainable in their own right and part of general sustainability against all of the major risks that society faces. The paper concludes with some brief reflections on the process of learning lessons, as seen in the light of organisational learning theory. The use of evidence-based practice to achieve seismic disaster risk reduction has much further to go. To be accepted, it needs to be assimilated permanently into prevailing social and organisational cultures.
A review of post-earthquake building control policies with respect to the recovery of the Christchurch CBD
Authors: Galloway B.D. , Hare H.J.
Published: August 2019

The Canterbury earthquake sequence was particularly disruptive for building owners and businesses located within the CBD. The initial damage to buildings in the relatively moderate September 2010 earthquake was surpassed by the significantly more damaging February 2011 event, challenging the way in which engineers have traditionally considered earthquake recovery.

Internationally, re-occupation of buildings following an earthquake has been based on the need to get businesses operating from buildings that are rapidly identified as having suffered minor structural damage. However, following the February 2011 earthquake, the shift in risk profile was reflected by limiting re-occupation unless it could be shown that the building also had a minimum capacity to resist earthquakes. This challenges the balance between continuing function and safety in the traditional post-earthquake evaluation process.

The timeframe for commencement of repairs has a significant impact on the speed of recovery. The importance of well defined regulations was highlighted in the well insured Christchurch building market, where legal arguments halted repairs in many instances. There is also a clear need for a modified, streamlined building consent process for the repair of earthquake damaged buildings.

This paper looks at the various building control policies enacted during the Canterbury earthquakes, and their effectiveness in aiding the recovery of the Christchurch CBD.