bluuebunny/crossref_metadata_2025 huggingface dataset:
Cardiac Health Prediction using ElectrocardiographyPratishtha Agnihotri
Authors:   Department of Electronics And Communication, PSIT College of Engineering, Kanpur, (U.P.), India., Agnihotri Pratishtha , Jain Monika ,   Department of Information Technology, IIITD, New Delhi, India.
Published: August 2019

Amongst various physiological signals, that can be collected from the human body, Electrocardiogram (ECG) is one widely used signal that gives an overview of individual’s health non-invasively. Some prognostic tools, based on ECG, have already been introduced in the past. However, the diagnostic information contained in ECG is still under used. In the present study, we propose an algorithm that predicts the cardiac health (both present and future) by analyzing subject’s ECG. The prediction is based on diagnostic information like Blood Pressure (BP), Arrhythmia and Heart Rate Variability (HRV), where BP and Arrhythmia are used to predict the present cardiac health, and Arrhythmia and HRV are used to predict the future cardiac health associated with an individual. To verify the algorithm, we use: (1) Linear Regression Model to extract BP based on parameters extracted from ECG; (2) Neural Network Pattern Recognition Application to detect Arrhythmia- Right and Left bundle branch block beat, Atrial premature contraction beat, Premature ventricular contraction beat and Premature or ectopic supraventricular beats, in any ECG signal; (3) Self-Organized Maps for HRV analysis using ECG. These models are used on ECG of 30 subjects chosen from an existing database. Based on the outputs of these models our algorithm predicts the present as well as the future cardiac health of 30 subjects under study. Our predictions are compared with the present and future cardiac health of these subjects already documented in the database. The prediction accuracy showed that present and future cardiac health risk of an individual can be satisfactorily determined using the proposed algorithm, which, in future, can be easily incorporated in any health monitoring device which can record ECG.
Plant Variety and Weed Growth Identification: Trending Towards Machine Learning
Authors:   Professor of Computer Science and Engineering at Mahendra Engineering College, Namakkal, India, Andrews Prof.Dr.S. , Ramesh Mr. K. ,   He is currently working as Assistant Professor in Karpagam Academy of Higher Education (Deemed to be University),Coimbatore,Tamilnadu,India., P.Ragupathi T.Nandhakumar,T.Kamalraj, ,   pursuing B.E degree in Electronics and communivcation engineering in Mahendra Engineering College,Namakkal, Tamilnadu,India
Published: August 2019

An important module in the agriculture 4.0 based plant monitoring is the weed growth control. In order to achieve the optimum profit on vegetable plantations the control of weeds plays an important role to ensure the precision of yield. Previous studies uses, ariel or portrait images in groups to identify the plants, weed infestation as well as intrusion detection. The motivation in this work of automation is to make the process as an autonomous system to upgrade it to agriculture 4.0 standards, by introducing Artificial Intelligence components in plant monitoring process to help the farmers with the trending technologies. This proposed research approach improves the accuracy of finding plant features from the images captured on vantage angles of the plant .We tried to classify the plants as well as the weeds through inclusion of portrait and ariel images for better classification and to aid automation that uses machine learning in plant and weed identification. Results obtained from the proposed AI system found to be appropriate and accurate in every classes of comparison.
Control of Wheeled Robots with Bluetooth-Based Smartphones
Authors:   Department of Electrical Engineering Muhammadiyah University of Yogyakarta Indonesia, Chamim Anna Nur Nazilah , Fawzi Muhammad Eki ,   Department of Electrical Engineering Muhammadiyah University of Yogyakarta Indonesia, Iswanto  ,   Department of Electrical Engineering Muhammadiyah University of Yogyakarta Indonesia, Wiyagi Rama Okta ,   Department of Electrical Engineering Muhammadiyah University of Yogyakarta Indonesia, Syahputra Ramadoni ,   Department of Electrical Engineering Muhammadiyah University of Yogyakarta Indonesia
Published: August 2019

Wheeled robot is a robot that can run on a flat surface with the help of wheels as a driving medium. The robot is made using Arduino as a programming brain, where the robot can move forward, backward, turn right, and turn left with a smartphone via Bluetooth module. It is controlled via a smartphone as a remote control and Bluetooth HC-05 as a connecting medium between smartphone and robot. In addition to using the Arduino robot, it uses the L298N motor driver as an output regulator for DC motors. Based on the results of testing on this design, in experiment 1, the speed of robot experiment I is 0.58 m/s for a distance of 3 meters completed in 5.1 seconds, in experiment II, the speed is 0.56 m/s with the same distance and completed in 5.3 seconds, and in experiment III, the speed is speed of 5.4 m/s in 5.5 seconds. The difference in speed and duration between experiments is influenced by factors such as reduced battery voltage, and the process of sending data and pairing can be done as far as 13 meters.
Evaluating and Forecasting rate of Counterfeit Banknote Detection
Authors:   AIIT, Amity University, Noida, (RDIAS), India., Upadhyaya Akanksha , Shokeen Vinod ,   AIARS, Amity University, Noida, India., Srivastava Garima ,   CS/IT, DRKNMIET, Ghaziabad, India.
Published: August 2019

Detection of counterfeit banknotes becoming a major issue in today’s scenario, as it is seems to be weighty aspect in terms of socio-economy of every living being. This paper highlights various distinguishing features of currencies of different countries, having an objective to secure their currency less susceptible from forgery. Afterwards, the paper focuses on analysing and comparing the rate of counterfeit detection with the forecasted rate of counterfeit currency detection. The analysis has been performed using, paired sample t-test and elementary time series forecasting in IBM SPSS 21 and RStudio respectively. Data points from 1999-00 to 2017-18 have been collected from Reserve Bank of India Annual reports under currency management section.
Efficient Selection of QoS Based Web Services using Modified TOPSIS Method
Authors:   Department of Computer Applications, MRIIIRS, Faridabad, India., Negi Neerja , Chandra Satish ,   Department of Computer Science & Engineering, JIIT, Noida, India.
Published: August 2019

Nowadays, due to the ease of availability of internet technology large numbers of people are using the World Wide Web. The companies are changing their way to do business. They are shifting from a data-oriented system to a service-oriented system. Now companies are able to depict their business in the form of web services and make them available on the internet. Due to this number of web services are available for satisfying the user’s need. But to select the best web service that satisfies user specification is a challenging issue. So, it is necessary to consider not only the functional requirement of the web services but also the nonfunctional requirements of the web services. On the other hand, users are not able to specify the exact nonfunctional parameter requirements so, there is a need for QoS processor which can understand the user's need and can extract the parameters for QoS. In this paper, a modified TOPSIS approach based on MCDM is proposed for the selection of efficient web service. The web services that are near to user expectations are selected out using the proposed method. Experimental outcomes show that the proposed approach determines the most promising results.
Potential Detection Application of Nodular Melanoma on Melanocytic Nevi Image Based on Android
Authors:   School of Electrical Engineering, Telkom University, Bandung, Indonesia., Alhakim Muhammad , Purboyo Tito Waluyo ,   School of Electrical Engineering, Telkom University, Bandung, Indonesia., Setianingsih Casi ,   School of Electrical Engineering, Telkom University, Bandung, Indonesia.
Published: August 2019

Nodular melanoma is a deadly rare type of skin cancer. Nodular Melanoma has characteristics asymmetrical shape, border irregularity, nonhomogeneous or has several color variations and the diameter is more than 6 millimeters. Nodular melanoma has a physical form similar to melanocytic nevi, therefore nodular melanoma can be detected from melanocytic nevi spread throughout the body. This research aims to detect nodular melanoma through melanocytic nevi by utilizing the android system in order to ease the user by using camera smartphone in detecting cancer. This application uses image processing and feature extraction of the ABCD method to process images with decision tree c4.5 classification method to detect potential of nodular melanoma diagnosis from melanocytic nevi image. The ABCD method is a medical method used to detect the possibility of skin cancer using 4 parameters including asymmetrical shape, border irregularity, color and diameter. Decision tree c4.5 is classification method that using entropy and gain to make rules of decision tree. The image data test is obtained from the results of the android-based smartphone camera shooting and from medical record. Output of this application is a diagnosis condition of melanocytic nevi is healthy or nodular melanoma potentially. The accuracy of this application is 97.5%.
Optimization of Machine Learning Techniques on Autism Spectrum Disorder with Swarm Intelligence Based Feature Selection
Authors:   M.C.A degree from University of Bharadhidasan, Trichy India,, Vijayalakshmi K. , Vinayakamurthy Dr. M. ,   Professor in School of Computer Science and Applications, REVA Unviersity, Bangalore, Karnataka, India., Dr. Anuradha  ,   HOD, PG in a reputed institution, Tamil nadu, India.
Published: August 2019

This paper is a study on the various machine learning algorithms in order to perform ASD (Autism spectrum Disorder) as per the DSM-V standards. ASD occurs more frequently among children and in order to diagnose this with better accuracy, the study on binary firefly algorithm, a swarm intelligence based wrapper feature selection algorithm is used to obtain best results with optimum feature subsets. This paper will provide overall result after applying it to all types of machine learning models on supervised learning.
Effective Feature Selection Strategy using Manova Test
Authors:   Research Scholar, Department of CSE, Hindustan Institute of Technology and Science, Padur, India., Durga V.Sathya , Jeyaprakash Thangakumar ,   Associate Professor, Department of CSE, Hindustan Institute of Technology and Science, Padur, India.
Published: August 2019

Feature selection is the most important step to develop any latest learning model. As the complexity of the leaning models increases day by day there is an increasing demand, in selecting the right features to build the model. There are many methods for feature selection. A new feature selection based on the Manova statistical test is implemented. Using the Manova test, we select attributes from academic datasets. Using the selected attributes, we build a classification model. Accuracy of the model with feature selection is compared with a model with all attributes. Results are discussed. It is proved that the classification model build with features selected by Manova test achieves more accuracy than a model built with all features.
Data Security Model using Artificial Neural Networks and Database Fragmentation in Cloud Environment
Authors:   Associate Professor, Department of CSE, NRIIT, Vijayawada, A.P, India., Suneetha D. , Kishore D.Rathna ,   Professor, Department of CSE, NRIIT, Vijayawada, A.P, India., Pradeep G.G.S. ,   Professor, Department of CSE, Malla Reddy Institute of Science and Technology, A.P, India.
Published: August 2019

Data security is a one of the challenging issue in present scenario. In that one of the on demand service is cloud computing and it provides so many services for end users and also it provides a dynamic environment for end user to provide quality of services on data it leads to improve in the confidentiality of the data. The proposed work presents a new cloud data security model with the help of Artificial Neural Network. It improves the confidentiality and security in cloud environment. This proposed algorithm is implemented using dynamic hashing fragmented component. It is implemented for storing fragmented sensitive secret data. The neural network cryptographic proposed algorithm is used for data to deal with encryption process for secret and improve the confidentiality. This algorithm applied for various number of cloud databases and it shows high confidentiality on data security.
An Efficient Algorithm for Roadways Obstacles Detection using Smartphone in Infrastructure-less Environment
Authors:   research scholar, Computer Application, Shri Ramswaroop Memorial University, Deva Road, Barabanki, U.P., India., Pandey Chandra Kishor , Kumar Dr. Neeraj ,   CS & IT, Babasaheb Bhimrao Ambedkar University, Satellite Campus, Teekarmafi, Amethi, U.P., India., Gupta Dr. Bineet Kumar ,   Computer Application, Shri Ramswaroop Memorial University, Deva Road, Barabanki, U. P, India., Mishra Dr. Vinay Kumar ,   Computer Application, SRMGPC, Faizabad Road, Lucknow, India.
Published: August 2019

Apart from having smart systems in modern vehicles, roadways traffic positions in infrastructure-free environment are in various ways not suitable for driving which causes roadways accidents. Smart systems are costly, training and maintenance is not practiced by all, hence they are not useful for vehicles running in infrastructure-less environment. Modern days Smartphone are multifunctional, easily operated and consists of numerous sensors, can be utilized for roadways obstacles detection in infrastructure-less environment. In this study, we proposed an efficient algorithm depth learning approach for roadways obstacles detection using Smartphone which is useful for planned as well as unplanned roads. In this, road information is collected using Smartphone accelerometer sensors, data normalization take place using Euler angle method and location determination of obstacles take place using space interpolation method. In comparison to other same type of approach, our algorithm is efficient and cost-effective.
Design analysis and performance evaluation of heat pipe embedded oil cooler with enhanced staggered fins
Authors:   Department of Mechanical Engineering (Heat Transfer), School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India., Dhainje Urmila C. , Kamble Dr. A. G. ,   Department of Mechanical Engineering, School of Mechanical and Civil Engineering, MIT Academy of Engineering, Alandi, Pune, Maharashtra, India.
Published: August 2019

Hydraulic coolers are most commonly preferred cooling source in industry. The progress in past few years have offered high efficiency and reliable hydraulic component, yet hydraulic cooling circuit design is often neglected part of development. One aspect of the hydraulic cooling circuit design is prevention of overheating hydraulic oil. Allowing oil temperature rise beyond particular limit can increase the power consumption and reduce the life of a system due to poor lubrication, higher internal leakage, higher risk of cavitation’s and damage component. Now-a-days shell and tube type oil coolers with water as the cooling medium are used as hydraulic oil cooler, these are extremely bulky and running cost is high hence it is needed to be replaced by another system that will be air cooled to make provision for lower space consumption and cost reduction. This paper discusses the design and development of innovative oil cooler heat extraction system using heat pipe. Designs of fins preferred are namely the straight fin system with fins projected outward in eight channels. The equipment developed is first model using Unigrafix Nx-8 and steady state thermal analysis of fins is done in Ansys workbench 16.0. A simple, compact, high efficiency, low cost device is developed, also a new technology of heat pipe embedded oil cooler is learnt in this present work. This paper discusses the performance of heat pipe embedded oil cooler in terms of LMTD, overall heat transfer coefficient and effectiveness. Further it discusses the performance evaluation of the straight fin setup.
Metagenomic Classification using Centrifuge
Authors:   ME student in Computer Science and Engineering Department of Government College of Engineering Aurangabad., Jadhav Tanaya , Nagori Meghana ,   Lecturer / Associate Professor / Data Science
Published: August 2019

To assess the quality of food is a major challenge the food industry faces today. It is of utmost importance to test it for contaminates and non-edible material that may be present. To overcome these challenges metagenomic classification is majorly useful. Several researches involve various classification techniques and their studies. Difficulties in metagenomic classification include increasing number of genomes thereby requirement of computational methods to have high speed as well as high accuracy so as to compare DNA sequences to genomes. Centrifuge is a classification tool for quantification of species present in a sample so as to monitor the quality of the same. Given a food sample Centrifuge effectively classifies the species present in it enabling a timely and accurate analysis.
Optimal Features-based Channel Selection and Neural Network Learning for LTE applications
Authors:   School of Computer science and Engineering , Vellore Institute of technology , Vellore, India., Mohan Divya , Mary.A Geetha ,   School of Computer science and Engineering , Vellore Institute of technology , Vellore, India
Published: August 2019

Nowadays, the number of internet users is increasing vastly. Hence, predicting the number of channels for user’s communication is a major task. Therefore, scheduling of all traffic flows within the communication services in Long Term Evolution (LTE) scheduling is done by verifying the channel information and user availability in the network. In view of that, this paper proposes a novel feature extraction and classification method to evaluate the user availability status and the channel information for the betterment of communication within the LTE network. For preprocessing, we present a Fast Independent Component Analysis (FICA) method which incorporates dimensionality reduction in the given input feature data during the training course. In this work, feature extraction algorithm is used to extract the network feature and its degree of angle by means of distance between the features set. Subsequently, analyzes the extracted categories of network architecture by the analyzing weight value of that attribute based on the responses. As a result both the feature identification and framing of network structure increases the performance of data mining analysis. Hence, proposing a novel optimization technique like Particle Connected Cuckoo Search (PCCS) optimization algorithm for selecting the best features in the training feature set. Based on the extracted features, the classification method is performed in order to predict the network category by using Multilevel Neural Network (MLNN) classification technique. At this point, a novel kernel model for classification process is incorporated to reduce the time complexity. After that, the information is passed to the LTE scheduling system for providing enhanced communication. The comparative analysis between proposed techniques with the existing methods such as naive Bayes, stacking C, DTNB, random forest, J48, Ridor, decision table, zero R, grading in terms of accuracy, RMSE, CCI, ICI assures that the effectiveness of the proposed MLNN classification method.
Nature Inspired Fibonacci Sequence Microstrip Patch Antenna for Energy Harvesting Applications
Authors:   Sobhasaria Group of Institutions, Sikar, India., Meena Asha , Garhwal Anita ,   Sobhasaria Group of Institutions, Sikar, India. Amity University Rajasthan, India., Ray Kanad ,   Amity university Rajasthan, India.
Published: August 2019

In this paper, design and simulation of Nature Inspired Fibonacci sequence golden spiral antenna is presented. It is based on the snail’s shell structure which is frequently found in nature. The proposed antenna geometry has its unique design and it is used for energy harvesting applications. For energy harvesting applications rectenna is designed which has an antenna, matching circuit, voltage doubler circuit and load. The antenna is designed in CST (computer simulation technology) microwave studio software. Using CST software S-parameter, surface current, E-field, H-field are simulated and results are analyzed. The antenna is simulated in 3 GHz to 10 GHz frequency band and achieves multiband return loss characteristics and positive gain at respective frequencies.
Multi Sensor Image Matching using Super Symmetric Affinity Tensors based HyperGraph Matching
Authors:   Research scholar from Bhagwant University, Ajmer Vice-President, Wells Fargo Enterprise Global Services, Kunadharaju Hari Prasada Raju , Sandhya N. ,   Professor, Department of Computer Science & Engineering, VNR Vignana Jyothi Institute of Engineering & Technology, Mehra Raghav ,   Associate Professor, Department of Computer Science & Engineering, Bhagwant University Ajmer
Published: August 2019

Image Matching technique is regularly on one of the main errands in numerous Photogrammetry and Remote Sensing applications. Based on multi-discipline, the approach of multiple sensor image matching is a novel one established which has vital application in military, civil, medicinal, and certain other domains. However, image matching approach faces numerous challenges, specifically in multi-sensor images where the images are gathered from the different sensor with different intensities, scales, and moments. Thus, a novel image matching approach is introduced in this paper using affinity tensor and HyperGraph Matching (HGM) technique that attempts to overcome certain drawbacks in matching and increases performance accuracy. Hypergraph matching techniques are employed using affinity tensors and consider supersymmetric property during construction. Graphs are constructed using graph theory for both sources, and target image and matching is done using third-order tensors. The experimental outcomes displayed that the proposed technique has good recall, precision, and positive accuracy values compared to the existing two descriptors based and tensor-based matching algorithms.
Thermal Behaviour of Hybrid Composites Reinforced with Natural Fibers and Kevlar
Authors:   Suresh Gyan Vihar, Jaipur, India,, Thakare Pravin , Kumar Neeraj ,   Professor, Department of Mechanical Engineering, Suresh Gyan Vihar University, Jaipur, India., Ugale Vinay ,   Assistant Prof, Department of Mechanical Engineering, College of Military Engineering, Pune, India.
Published: August 2019

There is a wide scope to develop suitable hybrid combination for making Fiber Reinforced Polymer (FRP) to utilize the properties of both natural and synthetic fibers. Economic and environmental reasons justify the use of natural fiber in place of synthetic fiber composite. Thermal stability is one of the important properties for the FRP panel in the applications such as structural panels/roof panels, cold storage and air conditioned ducts of building. The aim of this paper is to investigate thermal properties of hybrid FRP made of Jute, Flax, Sisal and Hemp in combination with kevlar-29. Composite wall conductivity measurement, DSC/TGA technique are used to study thermal conductivity, thermal stability, change in specific heat capacity, thermal degradation. All the panels showed lower thermal conductivity of less than 1 W/m 0C; however the flax and hemp panels had lowest thermal conductivity of around 0.45 W/m0C. DSC thermographs indicated broad exotherm and major changes in specific heat capacity at 200 0C for all panels. In addition, TGA technique showed main weight loss around 30%-51% of panels around 210 0C. Thus the thermal properties of all panels were stable till 200 0C. Thermogravimetric analysis of F- FRP shows thermal stability at lower range of temperature while in H- FRP thermal degradation occurs in two steps around 260 0C and 410 0C with the wt. loss of 53.72% and 26.79% respectively.
Modelling and Fabrication of Portable E-kit fixtures for Bicycles
Authors:   Department of Computer Integrated Manufacturing from Ramaiah Institutre of Technology, Bangalore, Karanataka., JAIN K THEJAS , Kumar Dr R. ,   Assistant professor ,Department of Mechanical Engineering Ramaiah Institutre of Technology, Bangalore, Karanataka, C Dr. Siddaraju ,   Assistant professor ,Department of Mechanical Engineering Ramaiah Institutre of Technology, Bangalore, Karanataka
Published: August 2019

The percentage of vehicles on the road increasing day by day, which tends to increase the consumption of fuel and emission of this product hazardous to environment. The usage of fossil fuels should be reduced and also it should be available to future generation also. The emission of fuel products is hazardous to the environment and also to the human being. Considering this into account reduction of usage of fossil fuel is main concept i.e. Electric Bicycle. So the available bicycle would run on alternative source which reduces the human effort. For the bicycle to run a e-kit fixture is designed and manufactured in such a way that it is suitable for different types of bicycles. So that the fixing and removal of kit takes place in few minutes and it can be fitted other cycles. After assembling the e-kit to the bicycles it should run without human effort whenever needed.
Leveraging Fog Computing for a Secure and Smart Healthcare
Authors:   School of Computing Science and Engineering, VIT University, Chennai, India., Preetha A. Divya , Kumar T.S. Pradeep ,   School of Computing Science and Engineering, VIT University, Chennai, India.
Published: August 2019

From hairbrushes to scales, all devices have sensors embedded in them to collect and communicate data. Smart Healthcare is proving to be an exciting and dynamic area with lots of room for new innovations and the increasing consumer demand for proactive health monitoring devices. Having India poised to spend a lot on healthcare, recent innovations using IoT devices and big data analytics can propel the healthcare industry into the future. Smart healthcare providers are leveraging cloud computing with fog computing to optimize their healthcare services. These smart healthcare applications depend mainly on the raw sensor data collected, aggregated, and analyzed by the smart sensors. Smart sensors these days generate myriad amount of data like text, image, audio, and video that require real-time or batch processing. Aggregating these diverse data from various types of resources remains a dispute till date. To resolve this issue, we have proposed a softwarized infrastructure that integrates cloud computing and fog computing, message brokers, and Tor for supple, safe, viable, and a concealed IoT exploitation for smart healthcare applications and services. Our proposed platform employs machine-to-machine (M2M) messaging, data fusion and decision fusion, and uses rule-based beacons for seamless data management. Our proposed flexBeacon system provides an IoT infrastructure that is nimble, secure, flexible, private, and reasonable. We have also proposed an M2M transceiver and microcontroller for flawless data incorporation of smart healthcare applications and services. Based on the IoT devices’ technical capabilities and resource availability, some systems are capable of making use of homomorphic encryption and zero knowledge proofs. The proposed flexBeacon platform offers seamless management and data aggregation without loss of accuracy. The cost of implementing a softwarized IoT for smart healthcare is also greatly reduced.
Enhancement of Cop of Vapour Compression Refrigeration System by using Diffusers
Authors:   M.Tech student, Department of Mechanical Engineering, Lakireddy Balireddy College of Engineering, Mylavaram, India., Raju G.Naga , Kumar K.Dilip ,   Professor, Department of Mechanical Engineering, Lakireddy balireddy college of engineering, Mylavaram, India., Rao T.Srinivasa ,   Professor, Department of Mechanical Engineering, Vasireddy Venkatadri Institute of Technology, Guntur, Indian.
Published: August 2019

This experimental investigation exemplifies the design and testing of four diffusers at compressor inlet and condenser inlet in the vapour compression refrigeration system with the help of R134a refrigerant .The Four diffusers with divergence angle of 10°,12°, 14° and 16° are designed for same inlet and outlet diameters. Diffusers are testing at compressor inlet first. The diffusers are used with inlet diameter equal to discharging tube diameter of evaporator and outlet diameter is equal to suction tube diameter of the compressor. One of the diffuser gives the better performance, it will fixed at compressor inlet. Then diffusers are testing at condenser inlet, diffuser inlet diameter equal to discharging tube diameter of compressor and outlet diameter equal to condenser inlet diameter The system is analyzes using the first and second laws of thermodynamics, to determine the refrigerating effect, the compressor work input, coefficient of performance(COP). During the experimental test,the coefficient of performance (COP) of the system without diffuser and with diffuser optimized at compressor inlet and condenser inlet are find out. At compressor inlet 14° divergence angle of diffuser given the maximum cop (2.46). Percentage of increase in cop is approximately 6%. At condenser inlet 12° divergence angle of diffuser given the maximum cop (2.59).Percentage of increase in cop is approximately 3%.
AKURASI SKOR RISIKO KILLIP SEBAGAI PREDIKTOR PROGNOSIS PASIEN SINDROM KORONER AKUT ST-ELEVATION MYOCARD INFARCTION
Authors: Roesardhyati Ratna , Wihastuti Titin Andri , Nasution Tina Handayani
Published: August 2019

Abstract : Acute Coronary Syndrome (ACS) with ST-ELevation Myocard Infarction (STEMI) is the leading cause of morbidity and mortality worldwide, especially in developed countries. Many risk factors in ACS patients require long treatment and focused treatment. Stratification of risks plays an important role in assisting prediction of clinical outcomes or as a prognosis in patients with ACS.The prognosis of STEMI patients is indicated by Length of Stay (LOS) which is the number of days of STEMI patient care at ICCU. Currently there is risk score  used as predictors in SKA with STEMI, some of which is Killip. This riset to analyze accuracy of Killip risk score with prognosis (LOS) STEMI patient in ICCU dr. Iskak Tulungagung. The research design used was analytic observational research with retrospective cohort approach. The location of this study was in RSUD dr. Iskak Tulungagung. The number of medical record were 125 taken by using purposive sampling technique. Data was analyzed using Spearman test.The result of Spearman test showed that Killip showed a significant association with STEMI patient's LOS in ICCU (p = 0.003) with coefficient correlation r = 0.260.The conclusion in this study was that Killip had a significant relationship with the prognosis (LOS) of STEMI patients in ICCU.  Keyword : ST-Elevation Myocard Infarction, Killip, Length of Stay Abstract : Sindrom Koroner Akut (SKA) dengan ST-Elevation Myocard Infarction (STEMI)merupakan penyebab utama morbiditas dan mortalitas di seluruh dunia, terutama di negara-negara maju. Faktor risiko yang begitu banyak pada pasien SKA membutuhkan perawatan yang lama dan pengobatan yang terfokus. Stratifikasi risiko tersebut berperan penting dalam membantu prediksi luaran klinis atau sebagai prognosis pada pasien SKA. Prognosis pasien STEMI ditunjukkan dengan  Length of Stay (LOS) yang merupakan jumlah hari lama rawat pasien STEMI di ICCU. Saat ini terdapat skor risiko yang digunakan sebagai prediktor pada SKA dengan STEMI, yaituKillip. Tujuan penelitian ini untuk mengalisis akurasi skor risiko Killip dengan prognosis (LOS) pasien STEMI di ICCU RSUD dr. Iskak Tulungagung. Desain penelitian yang digunakan adalah penelitian observasional analitik dengan pendekatan kohort retrospektif. Lokasi penelitian di Intalasi Rekam Medis RSUD dr. Iskak Tulungagung. Jumlah rekam medis sebanyak 125 yang diambil dengan teknik purposive sampling. Analisa data menggunakan uji Spearman. Hasil uji Spearman menunjukkan bahwa Killip menunjukkan hubungan yang signifikan dengan LOS pasien STEMI di ICCU (p=0.003) dengan besar korelasi r=0.260. Kesimpulan dalam penelitian ini adalah skor risiko Killip memiliki hubungan signifikan dengan prognosis (LOS) pasien STEMI di ICCU. Kata Kunci : ST-Elevation Myocard Infarction, Killip, Length of Stay
HUMAN DEVELOPMENT IN NORTH-EAST INDIA: ISSUES AND CHALLENGES
Authors: Md. Parvis Abu Reja
Published: August 2019

In the 21st century, the crucial challenge of North-Eastern states will be how to strike a balance of the economy of the region with that of rest of India and also to ensure ecological balance. The real wealth of a nation is the human resource of the country. The basic aim of development of a country is to create environment for the people to enjoy long, healthy and creative lives. But we often forgot this real truth in the pursuit of material and financial gain. The result is the destruction and diminishing of our natural resources, which must be combated. With the present paradigm, Human Development is the only alternative to have sustainable development. Sustainable development is a pattern of resource use that aims to human development without damaging environment and without disturbing the rights of future generations. Since the objective of development for a nation is to improve the welfare of its people, every nation strives hard not only to increase her wealth and productive resources but also to ensure a better standard of living for her citizens by providing them with adequate food, clothing, housing, medical facilities, education, etc. Manpower planning indicates planning of human resources for meeting development needs of the country. Just for the proper utilization of manpower resources, a country should impart proper education to its population and train its labour force in technology, engineering, management, medicine and in many other fields connected with the development of various aspects of the economy.
Role of antenatal betamethasone in premature babies and its effect on retinopathy of prematurity
Authors: Ghelani Abhishek , Sheikh . Khushnood M. , Shashtri Manisha
Published: August 2019

Background: advances in medical science has increase the overall survival rate of human being. this applies to
neonates who born before their complete development in womb and their increased survival rate lead to increase
occurrence rate of retinopathy of prematurity (ROP). In the struggle of their survival many measures done and one of
which is injection of betamethasone to pregnant mother at the time of their premature delivery to develop their lungs
and to reduce mortality.
Materials and Methods: this is a prospective observational study carried out for 12 months duration.Mother who has
been given antenatal betamethasone were included after their consent.Total 54 infants ≤ 32 weeks gestation at birth and
babies born at 32 to 34 weeks who were exposed to oxygen support in NICU and babies having birth weight <1750gms
were screened at one month of post-natal age.Infants pupils were dilated with short acting standard drops and indirect
ophthalmoscopic examination was done,the grading of eyes was being done using International classification of ROP
(ICROP). Zone I and zone II with any stage is considered as severe ROP including plus disease.Data were analysed by ttest for quantitative data and 2 test for qualitative data.
Results: Out of 54 babies examined over one year, 23 were diagnosed with ROP (any stage) incidence was 42.59%.out
of 23 babies stage I ROP was in 33.33%, stage II ROP in 3.70% and stage III in 5.55% and severe ROP that required
treatment was 5.55%. Low birth weight was important risk factor .Low gestational age was also a significant risk factor of
ROP (p 0.04). Gender was not found as a risk factor for ROP. All babies were prevented from sight threatening
complication by timely screening and treatment.Antenatal betamethasone did not show any significant effect on ROP.
EFFECTS OF CORD BLOOD UREA, CREATININE AND URIC ACID IN RELATION TO NEONATAL OUTCOME IN HYPERTENSIVE DISORDERS OF PREGNANCY
Authors: Singh Mamta , Sachan Shikha
Published: August 2019

Hypertensive disorder of pregnancy are one of the leading causes of morbidity and mortality in pregnant mothers and
their neonates in developed countries while they also play havoc and significant mortality in developing countries.
There is much research work undergoing to detect the early onset of disease and also to predict the severity of disease
which will help us in determining its management and lead to a favorable outcome for mother and baby.In the present
study which was conducted on pregnant patients attending the hospital in third trimester we tried to evaluate whether
maternal serum and cord blood urea,uric acid and creatinine had any relation with maternal and neonatal outcome and
prediction of course of disease
O uso de polifarmácia e o consumo de álcool na população de idosos de um bairro de Brasília
Authors: Mello Danielle Alves de , Pereira Leonardo Costa , Karnikowski Margo Gomes de Oliveira , Garcia Kerolyn Ramos , Melo Gislane Ferreira de , Chiarello Marileusa Dosolino
Published: August 2019

Objetivo: inquéritos domicialiares investigaram a polimedicação e a ingestão de álcool em 202 idosos residentes em um bairro de Brasília, assistidos pela equipe local de saúde da família. Método: Trata-se de estudo transversal descritivo, do tipo inquérito domiciliar. Resultados: Verificou-se que 20,7% eram polimedicados (n=42), mas destes somente 7,32% (n=3) consumiam álcool. 15% dos idosos (n=31) ingeriam álcool regularmente, mas somente 16% (n=5) de forma abusiva. Conclusão: os idosos em questão evitavam hábitos de risco como o uso do álcool em excesso.
Kvarcinių automatinių gravimetrų matavimo savybių tyrimas
Authors: Einorytė Simona , Obuchovski Romuald
Published: August 2019

Atlikti penkių kvarcinių automatinių gravimetrų Scintrex CG-5 matavimo savybių tyrimai. Detaliai ištirtas gra-vimetrų gulsčiukų jautrumas posvyriui X ir Y ašimis. Tyrimais nustatyta, į kurią ašį gulsčiukas yra daugiau ar mažiau jautrus posvyriui. Išnagrinėtas 2016–2018 metų laikotarpio skirtingu periodu tikrintų gravimetrų gulsčiuko posvyrio ir jautrumo į X bei Y ašis atskaitų kitimas. Ištirtas gravimetrų gulsčiuko kompensatoriaus veikimo diapazonas. Remiantis gravimetrinės kalibravimo bazės matavimų duomenimis, nustatyti gravimetrų kalibravimo koeficientai ir jų pokytis 2007–2018 m. Atlikti gravimetro laboratorinės ir darbinės nulio slinkties tyrimai.
GENERATING INTANGIBLE RESOURCE AND INTERNATIONAL PERFORMANCE: INSIGHTS INTO ENTERPRISES ORGANIZATIONAL BEHAVIOR AND CAPABILITY AT TRADE SHOWS
Authors: Shih Tsui-Yii , Yang Chien-Ching
Published: August 2019

This paper helps to achieve a better understanding of the relationships among organizational behaviors, capabilities and the intangible resources of firms as a micro-level origin of the internationalization of enterprises. The resource-based view, strategic management theory, knowledge absorption and establishment practice, trade show issues and model theory development are integrated and implications offered for both scholars and practitioners. It integrates a research model based on trade show practices, and concentrates on the experimental conditions targeted by the respondents. The mediating roles of enterprises’ intangible resources are also discussed. Based on a sample of trade development groups, 256 completed questionnaires were used to examine the hypotheses. The hypotheses were tested using structural equation models. The findings show that relationship building positively influences relationship performance. The relationship performance has a significant mediating role on the effects of information sharing on international performance. Moreover, commitment to learning and high absorptive capacity of a firm determines the innovation performance of firms and contributes to their international performance.
High-resolution Imaging Transit Photometry of Kepler-13AB
Authors: Howell Steve B. , Scott Nicholas J. , Matson Rachel A. , Horch Elliott P. , Stephens Andrew
Published: August 2019

Using the high-resolution imaging instrument, ’Alopeke, at the Gemini-N telescope, we obtained simultaneous two-channel time-series observations of the binary exoplanet host star Kepler13-AB. Our optical observations were obtained during a transit event of the exoplanet Kepler-13b and light curves were produced using both speckle interferometric and aperture photometry techniques. Both techniques confirm that the transiting object orbits the star Kepler-13A while different transit depths are seen across the optical wavelength range, being ∼2 times deeper in the blue. These measurements, as well as mass determinations in the literature, are consistent with Kepler-13b being a highly irradiated gas giant with a bloated atmosphere. Our observations highlight the ability of high-resolution speckle imaging to not only assess binarity in exoplanet host stars but robustly determine which of the stars the transiting object actually orbits.
OLICH: A reference library of DNA barcodes for Nordic lichens
Authors: Marthinsen Gunnhild , Rui Siri , Timdal Einar
Published: August 2019

DNA barcodes are increasingly being used for species identification amongst the lichenised fungi. This paper presents a dataset aiming to provide an authoritative DNA barcode sequence library for a wide array of Nordic lichens.

We present 1324 DNA barcode sequences (nrITS) for 507 species in 175 genera and 25 orders. Thirty-eight species are new to GenBank and, for 25 additional species, ITS sequences are here presented for the first time. The dataset covers 20–21% of the Nordic lichenised species. Barcode gap analyses are given and discussed for the three generaCladonia,RamalinaandUmbilicaria. The new combinationBryobilimbia fissuriseda(Poelt) Timdal, Marthinsen & Rui is proposed forMycobilimbia fissurisedaand Nordic material of the species, currently referred to asPseudocyphellaria crocataand Psoroma tenue ssp. boreale, are shown to belong inPseudocyphellaria citrinaandPsoroma cinnamomeum, respectively.
Traductions en mouvement
Authors: Morita Atsuro , Mohácsi Gergely
Published: August 2019

Dans cet article, nous portons l’attention sur certains liens importants entre les approches latérales et le tournant ontologique en anthropologie. Grâce à l’examen de certaines expériences ethnographiques récentes influencées par ces courants, nous tentons de mettre en évidence deux aspects de ces liens : (1) les mouvements transfrontières entre les pratiques de connaissances ethnographiques et les pratiques de connaissances autochtones ; (2) le rôle de la matérialité et de la spatialité dans le maintien en mouvement de ces pratiques qui se croisent. En portant l’attention sur ces enchevêtrements émergents, nous faisons valoir qu’ils sont liés au problème de la traduction : mouvement constant à travers les frontières disciplinaires, nationales et ontologiques. Nous suggérons que les objets de la traduction ne sont ni sur le terrain ni dans nos bibliothèques. Ils sont entre les deux et en mouvement, et ce mouvement constant rend le travail anthropologique de plus en plus complexe et constitue un défi. Nous appelons ce trafic des concepts « mouvements de traduction ».
Émotions, liens affectifs et pratiques de soin en contexte de conflit armé
Authors: Shukan Ioulia
Published: August 2019

Se situant à la croisée de la sociologie de l’engagement et de la sociologie des relations de soin et prenant appui sur un travail d’observation ethnographique à l’hôpital militaire de Kharkiv, au plus près des bénévoles de l’association Sœur de la miséricorde ATO/Kharkiv, l’article appréhende les ressorts de l’implication des femmes ukrainiennes, à l’arrière du conflit armé dans le Donbass, dans l’assistance aux soldats malades ou blessés. Il montre comment ce bénévolat émerge d’une rencontre singulière entre les expériences quotidiennes, émotionnelles, affectives, sentimentales, de ces femmes à l’arrière-front et leurs caractéristiques socio-biographiques. Une attention particulière aux pratiques du savoir-soigner profane auxquels cet engagement-là donne lieu met en exergue des attachements qui se nouent dans le soin entre ces pourvoyeuses d’aide, mais surtout entre celles-ci et les militaires aidés. L’intensité affective de ce faire ensemble, ainsi qu’un recoupement qu’il opère entre cercles de sociabilités, vie amoureuse et familiale, travail bénévole quotidien, rendent difficile pour ces femmes toute perspective de démobilisation tant que le conflit armé perdure, ceci malgré une marginalisation professionnelle et financière à laquelle leur engagement les expose.
Between Neo-nationalizing Russia and Brexit Britain
Authors: Morgunova Oksana , Byford Andy
Published: August 2019

L’article analyse l’évolution, au cours des années 2000 et 2010, de l’engagement civique et de la mobilisation politique des migrants russophones de l’espace post-soviétique vivant au Royaume-Uni, et souligne l’importance de la position intrinsèquement transnationale de ces migrants entre plusieurs influences politiques. Les transformations de leurs mobilisations sont régies par : le contexte évolutif des opportunités d’immigration au Royaume-Uni ; les avancées technologiques des nouveaux moyens de communication ; des changements politiques plus importants en Russie et au Royaume-Uni ; et de manière significative, la disponibilité de structures d’opportunités spécifiques pour la mobilisation. Les principales structures d’opportunités offertes à ces migrants dans les années 2000 ont favorisé leur mobilisation en tant que communauté de migrants minoritaires définie culturellement et les ont incités à faire partie d’un réseau mondial de « compatriotes » russes. Une nouvelle structure d’opportunités est apparue au début des années 2010 sous la forme d’un mouvement de protestation transnational contre la corruption politique dans la Fédération de Russie. Cependant, alors que le gouvernement russe mettait en place des politiques entraînant de la part des Russes résidant à l’étranger un éloignement de plus en plus grand des événements politiques en Russie, de nombreux Russes britanniques ont commencé à rechercher de nouveaux modes d’engagement. La politique du Brexit est devenue pour eux une nouvelle structure d’opportunités.
Liquidity Shocks, Security Design and Organizational Change
Authors: Hong Jieying
Published: August 2019

Cet article étudie comment une entreprise peut résoudre, de manière optimale, une difficulté financière ex post . Nous prenons pour modèle une entreprise touchée par un choc de liquidité qui requiert une injection de liquidité supplémentaire pour poursuivre son activité. Nous trouvons que, dans le cas d’un faible choc, l’entreprise peut le surmonter au moyen d’une renégociation de sa dette. Dans ce cas, la restructuration financière doit être conçue pour, à la fois, préserver les avantages du gérant et susciter un apport de liquidité de la part d’investisseurs. Les détenteurs de la dette doivent alors renoncer à une partie de leur participation initiale et partager, avec les apporteurs de liquidité, un regroupement de dette et de capital. Le gérant doit détenir du capital ou des options. Dans le cas d’un choc de grande envergure, l’entreprise doit être liquidée. L’article propose la première étude montrant comment une entreprise, simultanément, sollicite une acquisition et restructure ses demandes de financement dans le but de résoudre sa détresse financière. Il contribue également à la littérature en montrant que les politiques de règlement optimal varient selon le degré des chocs négatifs.