bluuebunny/crossref_metadata_2025 huggingface dataset:
Síndrome de depresión de grasa láctea provocado por el isómero trans-10, cis-12 del ácido linoleico conjugado en vacas lactantes. Revisión
Authors: Granados-Rivera Lorenzo Danilo , Hernández-Mendo Omar
Published: June 2018

El objetivo de esta revisión bibliográfica fue discutir el efecto del isómero trans-10, cis-12 del ácido linoleico conjugado (ALC) en el síndrome de depresión de grasa láctea (SDGL) en vacas, caracterizado por reducir hasta en 50.0 % la concentración de grasa en leche. Este síndrome causa menor rendimiento de derivados lácteos, por lo que el productor recibe menor pago por la leche. Diversas teorías explican la presencia del SDGL, siendo la biohidrogenación la mejor sustentada, donde establece que baja proporción de fibra detergente neutro o alta inclusión de ácidos grasos (AG) insaturados en la dieta de vacas lactantes propician alteraciones en la biohidrogenación ruminal. Ello da origen a mayor producción de AG trans, que inhiben enzimas necesarias para la síntesis de AG en glándula mamaria. El isómero trans-10, cis-12 ALC es uno de los principales responsables de la presencia del SDGL, cuyo mecanismo de acción no es claro aún, pero se sabe que dicho isómero suprime factores de transcripción que regulan la síntesis de grasa en leche.
In vitro ruminal degradation of neutral detergent fiber insoluble protein from tropical pastures fertilized with nitrogen
Authors: Juárez Lagunes Francisco Indalecio , N. Pell Alice , Blake Robert W. , Montero Lagunes Maribel , Pinos Rodríguez Juan Manuel
Published: June 2018

The objective was to determine in vitro the NDF insoluble protein (NDIP) extension and degradation rate of four tropical grasses by the potential effect of N fertilization. The grasses (Andropogon gayanus, Brachiaria brizantha, Cynodon plectostachyus and Megathyrsus maximus) that grow in Mexico were used. Each grass was grown in four plots (5×5 m), fertilized (relationship equivalent to 0 and 100 kg N/ha) and clipped 35 d after the N fertilization. A complete randomized block design with factorial arrangement 4×2, and two replicates per treatment was used, where the factors were grass species and N fertilization. Non-protein nitrogen (NPN), buffer insoluble protein (IP), NDIP and acid detergent insoluble protein (ADIP) were performed. Freeze-dried samples were incubated at 0, 1.5, 3, 6, 9, 12, 24, 48 and 96 h. After fermentation, the CP content of the NDF residues was determined. An exponential equation was used to determine the rate of the NDIP disappearance. There was no detectable interaction between type of grass and fertilization level. The NDIP (as %CP) averaged 35 % with a range of 10 to 60 %. The NDIP variation was primarily due to species. The extent and rates of degradation of the NDIP were 70.6 % and 7.1 %/h respectively, with no N-fertilization effect. The NDIP was degraded faster (P≤0.05) than NDF (7.7 vs 5.0 %/h). These data show that the NDIP is ruminally degraded and that this fraction significantly contributes to the rumen nitrogen supply.
Detección de Neospora caninum en ganado lechero sacrificado en Aguascalientes, México
Authors: Medina-Esparza Leticia Esperanza , De Luna-Oseguera Ricardo , Vitela-Mendoza Irene Victoria , Cruz-Vázquez Carlos
Published: June 2018

Con el objetivo de detectar la presencia de Neospora caninum en tejidos, suero y sangre periférica de ganado lechero sacrificado en rastros de Aguascalientes, México, se colectaron muestras de médula espinal, corazón, hígado, sangre y suero sanguíneo de 71 animales adultos. Las muestras de suero se procesaron mediante la prueba de ELISA para detectar anticuerpos anti-N. caninum, mientras que las otras se sometieron a la prueba de PCR anidado para determinar la frecuencia de ADN del parásito en los diferentes tejidos, así como en sangre. La frecuencia general de animales seropositivos fue de 41 % (29/71; IC 95% 29-53) con un rango de 33 a 57 %. La frecuencia de detección de ADN de N. caninum en sangre fue 44 % (31/71; IC 95% 32-55), con un rango entre 38 y 50 %; en las muestras de médula espinal de 32 % (27/71; IC 95% 27-50), con un rango de 2 a 38 %; en las muestras de corazón, 22 % (16/71; IC 95% 13-34), con un rango de 4 a 33 %; y en las de hígado, 32 % (23/71; IC 95% 22-44), con un  rango de 28 a 57 %. La concordancia entre la prueba de ELISA y la de PCR en sangre fue k= 0.36, de ELISA y PCR en tejidos k= 0.07 y de PCR en sangre y PCR en tejidos k= 0.61. Únicamente 11 vacas fueron positivas a las tres pruebas.
Analisis Bioetanol dari Limbah Kulit Buah Sukun (Artocarpus altilis) dengan Cara Hidrolisis dan Fermentasi
Authors: Fardiana Fardiana , Ningsih Purnama , Mustapa Kasmudin
Published: June 2018

This study aimed to determine glucose and ethanol levels from fermentation of peel waste of breadfruit. Glucose level was determined using UV-Vis spectrophotometer and then continued with fermentation of glucose from hydrolysis process using yeast tape (saccharomyces cerevisiae) for 3 days to produce bioethanol. The step in this study was the sample preparation, the acid variations in hydrolysis with HCl, H2SO4, H3PO4 (10%) and the fermentation. Determination of ethanol from the fermentation of glucose was measured by using alkoholmeter. The highest glucose level was 0.68% which was from hydrolysis using HCl and the highest ethanol level was 9% which obtained from the fermentation of glucose by using HCl hydrolysis. The conclusion shows that the type of acid used to reach optimum hydrolysis of the breadfruit’s peel is HCl.
Appraisal of the ‘Prospects and Challenges’ of Cloud Computing and Distance Learning in the National Open University of Nigeria
Authors: Touitou Tina C
Published: June 2018

This paper focuses in examining the distance education, cloud computing and platforms, E- learning and its approaches via cloud computing, benefits and challenges in National Open University (NOUN) in Nigeria.Cloud computing and distance learning are rising speedily and play vital and powerful roles in education and learning in Nigeria today. The use of distance education in learning has come to stay and is being adopted, it needs to be constantly dynamic and innovative. It’s has the potential to transform the way distance education is consumed along with internet resources. It supports the smart phone mobile users to perform their tasks effectively- through paying less cost by utilizing the cloud based applications offered by the cloud service providers. The review of literature shows that the use of cloud computing is the best practice for the present educational situation. Despite the benefits associated with cloud-computing, there are still factors hindering the effective adoption of cloud computing in Nigerian educational system which among others include the epileptic power supply, low bandwidth just to mention a few.Survey study that was conducted  by DAMAR &NUHU 2015, that was adopted to authenticate this study, one hundred and seventy (170) students who indicated knowledge on the importance of cloud computing, but were not very satisfied with the confidentiality and accessibility of the services rendered to them in the cloud computing platform. Some of the reasons could be as a result of poor network and lack of confidence using information technology. The paper recommended among others, steady power supply, guarantee service confidentiality, accessibility and more reduction in cost.
A Review on User Recommendation System Based Upon Semantic Analysis
Authors: Kaur Lovedeep , Kumari Naveen
Published: June 2018

Recommender system applied various techniques and prediction algorithm to predict user interest on information, items and services from the tremendous amount of available data on the internet. Recommender systems are now becoming increasingly important to individual users, businesses and specially e-commerce for providing personalized recommendations. Recommender systems have been evaluated and improved in many, often incomparable, ways. In this paper, we review the evaluation and improvement techniques for improving overall performance of recommendation systems and proposing a semantic analysis based approach for clustering based collaborative filtering to improve the coverage of recommendation. The basic algorithm or predictive model we use are – simple linear regression, k-nearest neighbours(kNN), naives bayes, support vector machine. We also review the pearson correlation coefficient algorithm and an associative analysis-based heuristic. The algorithms themselves were implemented from abstract class recommender, which was extended from weka distribution classifier class. The abstract class adds prediction method to the classifier.
A Comparative Study of Various Techniques used for Melanoma Detection
Authors: RAJU K RAINA , Kumar S. Swapna
Published: June 2018

Skin cancer is one of the most fatal disease. It is easily curable, when it is detected in its beginning stage. Early detection of melanoma through accurate techniques and innovative technologies has the greatest potential for decreasing mortality associated with this disease. Mainly there are four steps for detecting melanoma which includes preprocessing, segmentation, feature extraction and classification. The preprocessing stage will remove all the artifacts associated with the lesion. The exact boundaries of lesion are identified from normal skin through segmentation method. Feature extraction stage is used for calculating and obtaining different parameters of the lesion region. The final stage is to classify the lesion as benign or malignant.  In this paper different types of segmentation methods and classification methods are described. Both of these stages are accurately implemented to reach the final detection of the lesion.
Comparative Study of AODV, MAODV and RAODV to Improve Security using TCP Connections
Authors: Sima . , Kush Ashwani
Published: June 2018

Theoretical—Versatile specially appointed systems have diverse properties as contrast with customary systems. These cause additional difficulties and troubles on security for specially appointed systems. In this paper, another plan to handle security worries in MANET has been recommended and it has been assessed utilizing measurements. In view of the execution assessment, proposals have been made about the importance of the convention under different conditions .The plan has been contrasted and other existing plans. The proposed plan has been joined on ADOV as a contextual investigation.
Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment
Authors: Monika . , Kumar Pardeep , Tyagi Sanjay
Published: June 2018

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.
A Survey on Information Retrieval Models, Techniques and Applications
Authors: James Ndengabaganizi Tonny , Kannan Rajkumar
Published: June 2018

It has been long time many people have realized the importance of archiving and finding information. With the advent of computers, it became possible to store large amounts of information; and finding useful information from such collections became a necessity. Over the last forty years, Information Retrieval (IR) has matured considerably. Several IR systems are used on an everyday basis by a wide variety of users. Information retrieval (IR) is generally concerned with the searching and retrieving of knowledge-based information from database. In this paper, we will discuss about the various models and techniques and for information retrieval. We are also providing the overview of traditional IR models.
RBF Neural Network (RBFNN) using Density Based Clustering for Liver Disorder Dataset
Authors: Godara Sunila , Singh Rishipal , Kumar Sanjeev
Published: June 2018

Clustering is an unsupervised classification that is the partitioning of a data set in a set of meaningful subsets. Each object in dataset shares some common property- often proximity according to some defined distance measure. In this paper we will extend our previous work [15]. Simple K-means and Proposed makeDensityBased    Clustering (MDBC) are embedded in RBF Neural Network (RBFNN). We evaluated the performance of  RBFNN using K-Means and Proposed makeDensityBased Clustering on Liver Disorder Dataset. Proposed algorithm is superior to the existing makeDensityBased Clustering algorithm [15], but it is not capable of performing well when it is embedded with RBFNN.
IoT based e-Healthcare System to Enable Remote Patient Care based on Cloud Server
Authors: Rao P.Venu Gopala , Raja Eslavath , Gandi Ramakrishna , Kumar G. Ravi
Published: June 2018

IoT (Internet of Things) has become most significant area of research to design an efficient data enabled services with the help of sensors. In this paper, a low-cost system design for e-healthcare service to process the sensitive health data is presented. Vital signs of the human body are measured from the patient location and shared with a registered medical professional for consultation. Temperature and heart rate are the major signals obtained from a patient for the initial build of the system. Data is sent to a cloud server where processing and analysis is provided for the medical professional to analyze. Secure transmission and dissemination of data through the cloud server is provided with an authentication system and the patient could be able to track his data through a smart phone on connecting to the cloud server. A prototype of the system along with its design parameters has been discussed.
A Hybrid Approach for Virtual Machine Migration in Cloud Computing Environment
Authors: Kaur Ramandeep
Published: June 2018

A lot of research has been done in the field of cloud computing in computing domain.  For its effective performance, variety of algorithms has been proposed. The role of virtualization is significant and its performance is dependent on VM Migration and allocation. More of the energy is absorbed in cloud; therefore, the utilization of numerous algorithms is required for saving energy and efficiency enhancement in the proposed work. In the proposed work, green algorithm has been considered with meta heuristic algorithms, ABC (Artificial Bee colony .Every server has to perform different or same functions. A cloud computing infrastructure can be modelled as Primary Machineas a set of physical Servers/host PM1, PM2, PM3… PMn. The resources of cloud infrastructure can be used by the virtualization technology, which allows one to create several VMs on a physical server or host and therefore, lessens the hardware amount and enhances the resource utilization. The computing resource/node in cloud is used through the virtual machine. To address this problem, data centre resources have to be managed in resource -effective manner for driving Green Cloud computing that has been proposed in this work using Virtual machine concept with ABC and Neural Network optimization algorithm. The simulations have been carried out in CLOUDSIM environment and the parameters like SLA violations, Energy consumption and VM migrations along with their comparison with existing techniques will be performed.
A Research Study on Event Prediction in IoT Based Upon WBAN
Authors: Singh Krittika
Published: June 2018

The Internet of things is the internetworking of physical devices, vehicles, buildings, and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. The IoT allows objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. In this research an expert system based upon the IOT is developed in which the next event in the flight schedules due to any kind of medical emergencies is to be predicted. For this the medical data of all the patients are to be collected through WBAN.
Determination of Some Heavy Metals in Milk of Cow Grazing At Selected Areas, of Kaduna Metropolis
Authors: Imam Mahmud Mohammed , Muhammad Zahra , Zakari Amina
Published: June 2018

In this research work the concentration of zinc, copper, lead, chromium, cadmium, and nickel in cow milk samples obtained from four different grazing areas   (kakuri, kudendan, malali, kawo) of Kaduna metropolis. The samples were digested by wet digestion technique .The trace element were determined using bulk scientific model VPG 210 model  Atomic Absorption Spectrophotometer (AAS).. The concentration of the determined heavy metal were The result revealed that Cr,  Ni and Cd were not detected in milk samples from Kawo, Malali  and Kudendan whereas lead (Pb) is detected in all samples and found to be above  the stipulated limits of recommended dietary allowance (NRC,1989) given as 0.02mg/day. Cu and Zn are essential elements needed by the body for proper metabolism and as such their deficiency or excess is very dangerous for human health. However, they were found in all samples and are within the recommended limits while Cd (2.13 – 3.15 mg/kg) in milk samples from Kakuri was found to be above such limit (0.5mg/day). Cow milk samples analyzed for heavy metals in this research work pose a threat of lead and cadmium toxicity due to their exposure to direct sources of air, water and plants in these grazing areas, thereby, resulting to a potential health risk to the consumers.
Survey on Ocular Blood Vessel Segmentation
Authors: Roseline R. Hannah , Priyadarsini R. Jemina
Published: June 2018

The eye is sometimes said to provide a window into the health of a person for it is only with the eye that one can actually see the exposed flesh of the subject without using invasive procedures. There are a number of diseases, particularly vascular disease that leave telltale markers in the retina. The retina can be photographed relatively straightforwardly with a funds camera and now with retinal image processing there is much interest in computer analysis of retinal images for identifying and quantifying the effects of diseases such as cardio vascular diseases. A retinal image provides a snapshot of what is happening inside the human body. In particular, the ceremonial of the retinal blood vessels has been shown to imitate the cardiovascular condition of the body. Retinal images provide considerable information on pathological changes caused by local ocular disease which reveals diabetes, hypertension, arteriosclerosis, cardiovascular disease and stroke. Computer-aided study of retinal image plays a central role in diagnostic procedures. However, automatic retinal segmentation is complicated by the fact that retinal images are often noisy, poorly contrasted, and the vessel widths can vary from very small to very large. So in this survey we can review various segmentation techniques to improve the accuracy in blood vessel extraction.
Development of a Novel Lung Cancer Detection Technique based upon Micro Vessel Density Analysis
Authors: Kaur Pawandeep , Bhatia Rekha
Published: June 2018

In the medical field, Image processing methods are widely used. It is a method for the improvement of image, the image which is obtained after processing is useful for earlier detection and various stages of cancer.  In cancer tumors such as lung cancer time factor is the important key point because in the targated images of lung cancer time factor is use to discover the abnormality. Basically the development of numerous uncontrolled cells in the tissues create abnormality which later on leads to tumor in lungs. It is necessary to detect lung cancer in earlier stages, if left untreated its growth may spread into other nearby parts of body. For diagnosis, Patients may undergo several imaging tests such as CT scan, Chest X-ray and PET scan.In the existing recognition and detection techniques the Micro vessel density (MVD) analysis is used from which geometrical features are extracted to detect the tumorin  lungs. In alternate to this the Gray level co-occurrence matrix (GLCM) may also be used with the geometrical features of the image to obtain more accurate result of lung cancer detection. GLCM features such as image contrast, homogeneity, dissimilarity, energy and correlation is beneficial to obtain results with higher accuracy. On the basis of significant instrument, novel lung cancer prediction framework will be developed.
A SVD and Modified Firefly Optimization Based Robust Digital Image Watermarking Technique
Authors: Usha Chauhan , Kumar Singh Rajeev
Published: June 2018

Digital Watermarking is a technology, to facilitate the authentication, copyright protection and Security of digital media. The objective of developing a robust watermarking technique is to incorporate the maximum possible robustness without compromising with the transparency. Singular Value Decomposition (SVD) using Firefly Algorithm provides this objective of an optimal robust watermarking technique. Multiple scaling factors are used to embed the watermark image into the host by multiplying these scaling factors with the Singular Values (SV) of the host image. Firefly Algorithm is used to optimize the modified host image to achieve the highest possible robustness and transparency. This approach can significantly increase the quality of watermarked image and provide more robustness to the embedded watermark against various attacks such as noise, geometric attacks, filtering attacks etc.
Mining Big Data: Its Current Status and Future
Authors: Chouhan Mayushi , Nain Rohit Singh
Published: June 2018

Organizations create 2.5 Quintilian bytes of data. So much that 90% of the data in the world today has been set up in the last two years alone. What is Big Data? Big Data is large volumes of structured and unstructured data. This data is what organizations collect on a daily basis. The amount of data is not the important part, but the information gathered from that data is the key. Collecting and analyzing Big Data gives organizations enhanced insight, decision making, and process automation. Approximately each one can agree that big data has taken the business world by storm, but what’s next?  Will data continue to grow?  What technologies will develop around it? Or will big data become a relic as quickly as the next trend — cognitive technology? Fast data? - appears on the horizon. I believe, am that big data is only going to get bigger and those companies that ignore it will be left further and further behind. This paper studies about what is big data, how does it helps organizations to extract information, its tools and technologies and its future.
Hybrid Algorithm for Deforestation Detection Using Satellite Data by Using Support Vector Machine (SVM) Algorithm
Authors: Babu J Suresh , Sudha T.
Published: June 2018

There are many applications of Remote sensing Satellite images like (astronomy, military, forecasting, and geographical information). Using satellite remote sensing data sets we developed the mapping forest area cover change. This kind of multiple improvement and identifying methods have a Training Data Automation algorithm which is used for advanced vector machines procedure. This TDM technique capable of automatically generating exact image enhanced patches. The obtained high resolute training data allow in producing the dependable forest cover change products with the help of SVM. This process was tested in study areas selected from major forest areas across the globe. In each area, a forest cover change map was produced using a pair of real time Land sat images acquired around 1999 and 2015.
Diffusion and Adoption of Corruption in Developing Economies: Evidence from Ghana
Authors: Keelson Solomon A. , Cudjoe Thomas , Tenkoran Manteaw Joy
Published: June 2018

The present study investigates diffusion and adoption of corruption and factors that influence the rate of adoption of corruption in Ghana. In the current study, the diffusion and adoption of corruption and the factors that influence the speed with which corruption spreads in society is examined within Ghana as a developing economy. Data from public sector workers in Ghana are used to conduct the study. Our findings based on the results from One Sample T-Test suggest that corruption is perceived to be high in Ghana and diffusion and adoption of corruption has witnessed appreciative increases. Social and institutional factors seem to have a larger influence on the rate of corruption adoption than other factors. These findings indicate the need for theoretical underpinning in policy formulation to face corruption by incorporating the relationship between the social values and institutional failure, as represented by the rate of corruption adoption in developing economies.
The Impact of Loan Portfolio Diversification on Tunisian Bank’s Profitability
Authors: Belguith Houda , Bellouma Meryem
Published: June 2018

This paper examines the effect of loan portfolio diversification on Tunisian banks profitability over the period 2000-2015. By using panel data method, our finding, show that focusing on few sectors is more profitable than diversifying bank lending operations. In addition, we find that this negative impact is more pronounced in private banks. However, for foreign banks loan portfolio diversification is found to be positively associated with higher bank profitability. Also, we find support to the hypothesis stating that the positive effect of loan portfolio diversification is more pronounced for credit risky banks.
Prognostication Stereotype of Patients Morbidity and Mortality by Extraction of E-Health Records
Authors: .T Sunitha , .J Shyamala , Rani.A Annie Jesus Suganthi
Published: June 2018

Data mining suggest an innovative way of prognostication stereotype of Patients health risks. Large amount of Electronic Health Records (EHRs) collected over the years have provided a rich base for risk analysis and prediction. An EHR contains digitally stored healthcare information about an individual, such as observations, laboratory tests, diagnostic reports, medications, procedures, patient identifying information and allergies. A special type of EHR is the Health Examination Records (HER) from annual general health check-ups. Identifying participants at risk based on their current and past HERs is important for early warning and preventive intervention. By “risk”, we mean unwanted outcomes such as mortality and morbidity. This approach is limited due to the classification problem and consequently it is not informative about the specific disease area in which a personal is at risk. Limited amount of data extracted from the health record is not feasible for providing the accurate risk prediction. The main motive of this project is for risk prediction to classify progressively developing situation with the majority of the data unlabeled.
A Study of Learners in Information Retrieval System in Relation to Learning Parameters
Authors: Hota C P Pavan Kumar , Prasad V Leela
Published: June 2018

For the last few years, education methodologies are drastically changing as per leaner’s needs. In the current competitive environment, if a learner wants to achieve a good grade in their course work the learner should focus on various parameters as per their learning style. In this paper, we focused mainly on learner-centric approach rather than teacher-centric approach. Learner -centric approach facilitates the leaner to involve in the teaching learning process. In this approach, educationist considers learning curricula, learning theories, learning styles, learning models, learning methods, and learning evaluation to understand learner’s effectively. Educationist can track the involvement of the learner and their progress by various approaches, but learning analytics is a modern approach to understand, focus and analyze learner’s easily with available tools and technologies. In this paper, we focused on learning analytics approach with a group of learners to understand their ability of learning based on cognitive theory and able to find slow and fast  learners.
Transforming HRM through Technology: - Future of HR
Authors: Aryan Richa , Sharma Deepika
Published: June 2018

Human resource plays a vital role in any organization; Investment on human resource comes up with return in the form of higher productivity, higher motivation and profitability. E HRM has shifted the traditional ways of doing HR tasks into innovative one. Organizations are adopting the latest technologies to cope up with dynamic environment. Human resource is playing two way roles in adapting E HRM in business; on one hand employees of the organization are responsible to actualize electronic ways and operations. This paper focuses on the concept of electronic human resource management and how it is impacting human resource operations of an organization. It also reveals how virtual teams are being managed by adopting latest human resource methodologies. Further it explores how jobs are being designed and how the ways are being changed to manage the employees in virtual era.
Detection of Sybil Attack in VANETs
Authors: Kaur Kamaljit , Kaur Amandeep
Published: June 2018

The vehicular adhoc network is the decentralized type of network. The vehicle nodes can join or leave the network when they want. In the such type of network security, routing and quality of service are the three major issues of the network. In the network malicious node is present which is responsible to trigger various types of active and passive attacks. The Sybil attack is the active types of attack in which malicious node change its identification multiple times. In this, paper various techniques are reviewed which are used to isolate malicious nodes from the network.
HUMO-LUMO Studies on Methyl Orange Doped ZTS Crystals for Laser Applications
Authors: Suresh G. , Kumar K. Sambath , Ambalavanan P. , Kumaresan P.
Published: June 2018

Zinc Thiourea Sulphate (ZTS), crystal is a magnificent metal natural compound, which consolidates the upsides of both natural and inorganic materials when contrasted and other customary non-linear optical materials and in this way can be utilized as a part of a more extensive scope of uses. Late endeavors at delivering new recurrence transformation materials have concentrated essentially on expanding the extent of the NLO properties that can recurrence twofold low pinnacle control sources, for example, diode lasers.  The thermo gravimetric examination (TGA) and differential warm investigation (DTA) were completed utilizing Seiko warm analyzer at warming rate 20°C/min in air to decide the warm dependability of the compound. ZTS crystals were developed by moderate cooling procedure. This empowers the development of mass gems along all the three bearings at an ideal pH. FTIR examines demonstrate that in the spectra of ZTS there is a move in the recurrence band in the low-recurrence district which uncovers that thiourea shapes sulfur-to-zinc securities in the ZTS crystals. The stability and charge delocalization of the molecule were also studied by natural bond orbital (NBO) analysis. The HOMO-LUMO energies describe the charge transfer takes place within the molecule. Molecular electrostatic potential has been analyzed.  The developments try in extensive scale with this enhanced pH qualities is required to yield mass crystal appropriate for laser combination tests and SHG device applications.
Divergences of Opinion and Long Term Performance of Post Stocks Initial Public Offerings at Indonesia Stock Exchange
Authors: Sholichah Mu’minatus , . Basuki , Irwanto Andry
Published: June 2018

This study examines and analyzes the effect of divergence of opinion on long-term performance of stock post IPO with initial return control variable, firm size, offering size, reputation of underwriter and return on equity. The study was conducted using 2004-2013 data, with 157 IPO companies in Indonesia capital market. The test is done by using multiple linear regression. The results of this study found that the divergence of opinion has a positive effect on the long-term performance of post-IPO shares. This occurs in the long-term performance period of post-IPO shares with an abnormal cumulative measurement of return12 months, 24 months. The result of opinion divergence regression and variable of all control with long term performance of stock post IPO revealed significant result at period of 12 months and 36 months. By measuring the buy and hold of abnormal returns, the opinion regression divergence with the long-term performance of post-IPO shares is significant in the 12-month period. The regression result of opinion divergence and all control variables with long-term performance of post-IPO shares is significant in the period of 12 months and 24 months. Variable characteristics of companies that are considered by investors in IPO stock transaction are firm size, initial return, offer size and reputation of underwriter. The implication of this study shows that risk factors play an important role in long-term performance of post-IPO shares.
Classification and Evaluation Criteria for the Selection of Cloud Service Providers with QoS based on SLA
Authors: Bhatia Sarvjit Singh , Rai Anurag , Kaur Harsimran
Published: June 2018

Cloud computing is revolutionizing the IT industry by enabling them to offer access to the infrastructure and application services on a third party basis. Due to the vast diversity in the available Cloud services, from the customer’s point of view, it has become difficult to decide whose services they should use and what are the criteria for the selection? There are two types of QoS requirements which a user can have: functional and non-functional. Some of them cannot be measured easily given the nature of the Cloud. Attributes like security and user experience are not easy to quantify. Moreover, deciding which service matches best with all functional and non functional requirements is a decision problem. The Fundamental issue to handle such a problem is Quality of Service (QoS) parameters. Many   SLA languages and frameworks have been developed as solutions; however, there is no overall classification and the criteria for these extensive works. Therefore, the aim of this research is to present a comprehensive study that how SLAs are created, managed by fulfilling the QoS in cloud computing environment.
Factors Influencing Consumer Purchase Decisions at Organized Retail Stores in Ludhiana
Authors: Sehgal Manu , Khanna Priyaka
Published: June 2018

Indian Retail Market is going through a transition phase. With retail environment getting modernized and customers gradually shifting from the culture of shopping at small neighborhood kirana stores to large hypermarkets. With more and more fancy shopping option in hand in form of growing number of malls and supermarkets and with more number of international counterparts entering the sector, consumer is being spoilt for choice. The share of organized retail in total retail sector in India is growing at a remarkable rate. Many domestic as well as international players have already penetrated in this market. Competition is at its high pace. Great focus is on the consumer preference over the attributes of retail stores that are considered important. It is assumed that such factors play a significant role in converting footfalls into actual sales. The aim of the study is to identify the factors affecting consumer behavior and preference related to shopping at organized retail stores. In this paper, analysis of the consumer’s preference of the specific attributes of selected 5 major retail brands of Ludhiana is done. Retail stores selected were Big Bazaar, Lifestyle, Westside, Vishal Mega Mart and Globus. Factor analysis has been used in identifying the main factors. The factors include sales assistance, store ambience, store attractiveness, store pricing policy, store promotion and store Convenience.
A Novel Insight into Slurry Erosion Performance of Some Nickel, Alumina, and Titania Based Thermal Spray Coatings: A Review
Authors: Kumar Rajeev , Bhandari Sanjeev , Goyal Atul
Published: June 2018

An ideal coating system is generally considered as an appropriate combination of significant hardness and toughness. In the past investigations, the potential of various hard phases, as well as tougher candidates have been already explored. Some of these works related to slurry erosion, using nickel, alumina and titania as a coating candidate has been reviewed in the present study. The study is aiming towards investigating the effect of these coating candidates on the slurry erosion performance of a coating system. The review revealed a significant improvement in the coating properties (mechanical and microstructural) as well as coating performance with the application of the investigated coating materials.
Lightweight Authentication Scheme for Live Video Streaming Security
Authors: .M Resmi .A , Chezian R. Manicka
Published: June 2018

The majority of the traffic in the internet is dedicated to video streaming and its applications. Content Network Networks are good enough in live video streaming. But, implementing live video streaming is not an easy task. Delivery of live video streams can be complicated because of the variety of platforms, network types and streaming formats competing in today's online media services. Every user’s expecting reliable high quality performance with data availability using heterogeneous choices. And it is now tougher than ever to ensure an agreeable, problem less viewing experience on live streaming. Another problem of video streaming is handling security issues, which need fast verification and effective attack resistance. CDN suffers from various security issues, here, a new prototype to perform secure content delivery especially on live video streaming. A lightweight video streaming authentication technique is developed, this authenticates and transmits the data and eliminates the unauthorized access.
New Image Registration Techniques: Development and Comparative Analysis
Authors: G. Sindhu Madhuri , M. P. Indra Gandhi
Published: June 2018

Design and Development of new Image Registration Techniques by using complex mathematical transformation functions are attempted in this research work as there is a requirement for the performance measurement of image registration complexity. The design and development of new image registration techniques are carried out with complex mathematical transformations of Radon and Slant functions due to their importance. And the rotation and translation geometric function are considered for better insight into the complex image registration process. The newly developed image registration techniques areevaluated and analyzed with openly available images of Lena, Cameraman and VegCrop. The accuracy as a performance measure of the newly developed image registration techniques are attempted to measure with popularly known metrics of RMSE, PSNR and Entropy. And the results obtained after successful image registration process are compared are presented. It is observed from the results that the developed new image registration techniques using Radon and Slant transformation functions with rotation and translation are superior and useful for the requirement and purpose in the digital image processing domain. Finally a research effort is made to development of new image registration techniques that are useful to extract intelligence embedded in the images with complex transformation function and an attempt is made to measure its performance also.
Financial Literacy about Stock Market among the Participants of Bombay Stock Exchange
Authors: Mate Rashmi , Dam Leena
Published: June 2018

Financial mistakes made at any stage of life can be costly. To avoid such mistakes, financial literacy is very important. Financial literacy is buzzword now days, and its importance has accepted all over the world. Financial literacy is required for any financial decision making.  But his term is subjective in nature. So it varies according to investors. Investing in stock market is still not so popular in India because of its complicated nature and lack of financial literacy. This paper attempts to find out the literacy levels of stock market participants of Bombay Stock Exchange. Stock market participation is strongly related to financial literacy. Previous research was focused on financial literacy and reasons behind less stock market participation. In this study, stock market participant’s financial literacy regarding stock market functions has been assessed. Those who participate in stock market are considered to be a risk taking investors, and it is expected that investor must have basic knowledge about stock market. BSE is one of the oldest stock market in world. So the participants of BSE will be the great population to test financial literacy levels. This study is based on primary data collected through a survey from BSE participants as well as on secondary data.
Six Sigma Approach to Quality and Productivity Improvement in an Institution for Higher Education
Authors: Hasija Yatika , Kant Suman , Kaur Amandeep
Published: June 2018

Quality has become a competitive weapon in both the manufacturing and the service sector. And from past few decades, service sector particularly education sector has been neglected in terms of quality improvement efforts or we can say that quality improvement strategies are not being implemented in the education sector. Day by day the number of educational institutes is increasing and most of them are being managed by private management. As profitability is their major concern, therefore the aspect of quality is being overlooked. Today the higher educational Institutions are exposed with global competition and facing a lot of problems such as low graduation rates, higher drop-out rate, less employability etc. Therefore educational organizations must adapt six sigma methodologies to improve the quality of higher education. Although the method of applying statistical process control in education industry is really challenging but in this thesis we take a primary step to search out a solution for the education sector so that they can improve the quality of higher  education.
Prinsip pustakawan dalam seleksi bahan pustaka di Perpustakaan Sekolah Menengah Kejuruan 1 Pacitan
Authors: Pratiwi Ardhina Pratiwi
Published: June 2018

Selection of library materials is an important activity which aims to determine the selection of library materials based on characteristics and needs of users. Library selection activities are conducted by professional librarians who have the ability to develop collections. Due to the importance of library materials selection activities, the researcher conducted a study at the Sekolah Menengah Kejuruan 1 Pacitan Library. This study aimed to describe the principles of the librarian in the library material selection process at the library of Sekolah Menengah Kejuruan 1 Pacitan. The study used the descriptive qualitative method, with sampling using the purposive sampling technique to the librarian and non-librarian at the Sekolah Menengah Kejuruan 1 Pacitan Library. The data collection technique in this study used the semi-structured interview instruments. The researcher used the scope of library material selection principles consisting of the traditionalist, liberal and pluralistic view. According to the liberal view; the study results showed that librarians were not able to market the library through the approach to students. To the traditionalist view, the main principle in meeting the needs of students was based on the quality of library materials. While the pluralistic view suggested that most students were not satisfied with the literature available at the Sekolah Menengah Kejuruan 1 Pacitan Library. Based on that, the Sekolah Menengah Kejuruan 1 Pacitan Library has applied the traditionalist principles which can be seen from the quality of library materials that will be accessible to the students.
Enfoques teórico-metodológicos sobre la Unificación Monetaria en MERCOSUR. Reapertura del debate
Authors: Hurtado Briceño Alberto José , Zerpa de Hurtado Sadcidi , Mora Mora José U.
Published: June 2018

La integración monetaria corresponde al proceso mediante el cual un conjunto de países previamente integrados adoptan una moneda común. En el Mercado Común del Sur (MERCOSUR), desde 1987 se plantea la necesidad de avanzar en los acuerdos regionales que permitan lograr la unificación monetaria. Desde entonces se han sugerido distintos enfoques teóricos-metodológicos acerca de cómo lograrlo. En este sentido, el presente artículo tiene como propósito presentar las contribuciones teóricas-metodológicas realizadas acerca del tema y contribuir a reabrir el debate sobre las alternativas a seguir para la construcción de la moneda única en el mercado común suramericano. Para ello se identifica el origen y los enfoques teóricos-metodológicos planteados a la integración monetaria del MERCOSUR.
1499
Authors: Moreno de Sousa João Carlos
Published: June 2018

O livro se propõe a realizar um apanhado geral da história pré-colonial do território atualmente conhecido como Brasil. O autor, no entanto, pouco escreve sobre as ocupações mais antigas que 14 mil anos atrás ou sobre o povoamento inicial da Américas, provavelmente para evitar ir de frente ao consenso da arqueologia norte-americana, começando a retratar a (pré-) história do Brasil a partir de 13.500 anos antes do presente. É importante notar que as idades mencionadas no livro são idades calibradas e podem dar a impressão de serem equivocadamente mais antigas do que costumamos ver em outras obras não acadêmicas, quando na verdade foram representadas de uma forma mais acurada.
Pintar, se (re)apropriar e se relacionar
Authors: Oliveira Erik Alves de
Published: June 2018

O principal objetivo da pesquisa realizada foi o de compreender as relações cronológicas e estilísticas em um universo de 24 abrigos com pinturas rupestres localizados na microbacia do rio Pardo Pequeno (Diamantina, MG) numa perspectiva que considere seus contextos de inserção e seus atributos, no intuito de identificar possíveis diferenças e escolhas entre eles. Para isso, a análise realizada se debruçou na escolha de um recorte espacial, discussão de perspectivas teórico-metodologias acerca da paisagem e estilo, a contextualização geológica, geomorfológica, dos aspectos vegetacionais, da evolução dos atributos da paisagem na percepção local da paisagem, notadamente os Boqueirões. Além disso, os sítios arqueológicos e seus grafismos foram descritos e articulados uns com os outros de modo a “construir” as relações espaciais, cronológicas e estilísticas bem como a sua compreensão a partir da esculturação do relevo, sua aproximação e relações com os Boqueirões, as características e escolhas dos conjuntos estilísticos identificados, suas maneiras de compor painéis e de se relacionar com suportes e as figuras precedentes.
A borda do mar como um lugar cultural
Authors: Novaes Luciana de Castro Nunes
Published: June 2018

Este estudo é resultante da minha participação no Salvamento Arqueológico Subaquático na área de complementação das obras marítimas do empreendimento da Bahia Marina (2011). A pretensão pós-conclusão do Salvamento consistiu em verificar contingências materiais e imateriais sobre a praia da Preguiça não contempladas pela narrativa do contrato.
Un posible retrato de la reina María de Hungría de Velázquez para la Corte de Praga
Authors: Doval Trueba Mar
Published: June 2018

En la Galería Nacional de Praga (República Checa) se conserva un retrato de la Infanta María de España, hermana de Felipe IV y reina de Hungría y de Bohemia que ahora proponemos relacionar con Velázquez y su taller.Conocido sólo por reproducciones de baja calidad, el cuadro ha sido atribuido por ello al taller de Velázquez. Sin embargo, un estudio al natural del mismo, unido a los documentos que sobre esa reina han ido apareciendo, han permitido proponer la obra como salida del pincel de Diego Velázquez, pintor de Cámara de Felipe IV.