bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extraction, purification, and activity of protease from the leaves of Moringa oleifera
Authors: Banik Swarnali , Biswas Shrutidhara , Karmakar Srabani 
Published: July 2018

Background: Proteases cleave proteins, thereby providing essential amino acids for protein synthesis, and degrade misfolded and damaged proteins to maintain homeostasis. Proteases also serve as signaling molecules, therapeutic agents and find wide applications in biotechnology and pharmaceutical industry. Plant-derived proteases are suitable for many biomedical applications due to their easy availability and activity over a wide range of pH, temperature, and substrates. Moringa oleifera Lam (Moringaceae) is a very common food plant with medicinal property and geographically distributed in tropical countries. Here, we isolate proteases from the leaves of Moringa oleifera and characterize its enzymatic activity. Methods: Proteases were isolated from the aqueous leaf extract of Moringa oleifera by ammonium sulfate precipitation and purified by ion exchange chromatography. Subsequently, the enzyme kinetics was determined using casein as a substrate and calibrated over different pH and temperature range for maximal activity. Results: We obtained purified fraction of the protease having a molecular weight of 51 kDa. We observed that for the maximal caseinolytic activity of the protease, a pH of 8 and temperature of 37ºC was found to be most effective. Conclusion: The plant-derived proteolytic enzymes are finding increasing clinical and industrial applications. We could extract, purify and characterize the enzymatic activity of proteases from the leaves of Moringa oleifera. Further molecular characterization, substrate specificity and activity of the extracted protease are required for determining its suitability as a proteolytic enzyme for various applications.
Multilateral Bargaining in Networks: On the Prevalence of Inefficiencies
Authors: Lee Joosung 
Published: July 2018

We introduce a new noncooperative multilateral bargaining model for network-restricted environments in which players can bargain only with their neighbors. The main theorem characterizes a condition on network structures for efficient equilibria. If the underlying network is either complete or circular, an efficient stationary subgame perfect equilibrium exists for all discount factors—all the players always try to reach an agreement as soon as practicable, and hence no strategic delay occurs. In any other network, however, an efficient equilibrium is impossible if a discount factor is greater than a certain threshold, as some players strategically delay an agreement. We also provide an example of a Braess-like paradox, in which network improvements decrease social welfare. The e-companion is available at https://doi.org/10.1287/opre.2018.1725 .
Síndrome da Morte Súbita Infantil (SMSI): aspectos acerca das principais causas e as formas de prevenção
Authors: Martins Maria Eliana Pierre , Amorim Liromaria Maria De , Rodrigues Micaelle Nayara Dias , Lima Danielly Gonçalves Sombra , Moreira Jamacir Ferreira 
Published: July 2018

O presente artigo objetiva refletir aspectos relacionados a Síndrome da Morte Súbita Infantil (SMSI). A SMSI é uma expressão usada para se referir a uma morte repentina e inesperada, na maioria dos casos inexplicável, que pode acometer os bebês no seu primeiro ano de vida. Trata-se de uma das maiores causas de morte infantil, ocupando inclusive a oitava posição nos países desenvolvidos. Em países como o Brasil, não existe uma coleta de dados que seja suficiente para uma avaliação das influências socioculturais ou geográficas quanto ao desenvolvimento da enfermidade. Ações educativas direcionadas às gestantes, mães, pais e cuidadores, podem ajudar a reduzir os casos de mortalidade subida infantil.
Near Field Communication Enabled Mobile Payments: Preliminary Study
Authors: Ali Brohi Imtiaz , Imtiaz Ali Najma , Shah Asadullah , Bt. S. Abd. Aziz Madihah , Izzuddin Bin Mohd. Tamrin Mohd. 
Published: July 2018

The ubiquitous computing has made consumers life easy, it has given the new way to interact with family and friends and perform many activities which were impossible in previous time. One of the profound achievement of ubiquitous computing is Mobile Payment and an advanced mode of the mobile payment is the near field communication mobile payment. In this study the authors have proposed theoretical near field communication mobile payment model that is based on extended unified technology acceptance and use of technology (UTAUT2) .In this paper, the author have performed the pilot study to validate the variables and to verify their reliability among the proposed items. The results has proven that there is a reliability among the items in variables, as the Cronbach’s alpha value for the variables is above or equal to 0.7.
Knowledge Management Practice in Private Sector: Building the Way for Saudi Arabia Strategic Growth and Transformation To Knowledge-Based Economy
Authors: Gharamah Abdulrahman , Fauzan Noordin Mohamad , Imtiaz Ali Najma , Ali Brohi Imtiaz 
Published: July 2018

The Kingdome of Saudi Arabia (KSA) and its growth objective is to be a major player in the global economy and moving toward a knowledge-based economy. To achieve its objectives, the private sector in various fields in KSA needs to be in line with country’s ambitious goal; Knowledge Management (KM) handling and readiness for the foreseen customer demand need to be in line with goals. This study presents a critical review to evaluate existing KM practice in the private sector in Kingdom of Saudi Arabia (KSA) to see the readiness of this sector to play an integral role of knowledge-based economy and support nation’s growth strategy. The paper will examine current states in term of how knowledge management is practiced in the country. This paper addressed various aspects of knowledge management ranges from the need of implementing knowledge management systems to the added value by deploying such systems. In addition, the review was discuss if the private sector is heading in the right direction, and coherent with KSA strategic goal by examining a sample of four major firms in private sector. The outcome of the sample reflected that the private sector is harmonized with KSA objective.
Optimisation of SC-CO2 Extraction of Curcuma zedoaria by Response Surface Methodology
Authors: Subuki Istikamah , H. Saidin Saidatul , Nabilah M. Hisan Nurul 
Published: July 2018

In this study, Curcuma zedoaria was extracted using supercritical fluid extraction system (SFE) to obtain valuable extract. Optimisation of extraction condition for high yield and curzerene concentration was carried out by employing the Response Surface Methodology (RSM) particularly, Central Composite Design (CCD). The objectives of this work are to investigate the effect of temperature (40oC to 60oC) and pressure (100 to 300 bar) on extraction yield and concentration of major chemical constituents and determine the optimum parameter for high oil yield and curzerene concentration using RSM. Chemical constituents of the oil were analysed using gas chromatography (GC) and Gas Chromatography Spectrometry (GCMS) and showed that curzerene as the key chemical constituent in the oil extract. The results demonstrated that the oil yield obtained were ranged from 0.6 w/w% to 1.8 w/w% and curzerene concentration in range of 1.6% to 4.1%. The optimum parameters predicted by RSM for the highest oil yield and curzerene concentration were found to be 138.65 bar and 40oC, which produced the best oil yield and curzerene concentration predicted as 1.7 w/w % and 3.7% respectively. In conclusion, the pressure and temperature significantly influence the oil yield and oil concentration as p ≤ 0.05 for both factor.
Exergy Analysis of Organic Rankine Cycle and Electric Turbo Compounding for Waste Heat Recovery
Authors: Hanif Mat Muhammad Mohd , Mohd Ihsan Mamat Aman , Saiful-islam Wan Salim Wan 
Published: July 2018

With such tough legislation on current emission standards, car manufacturers are focusing on increasing the efficiency of their engines with the development of advance waste heat recover (WHR) technology. Organic Rankine Cycle (ORC) and Electric Turbo Compounding (ETC) system have a good potential to be used as exhaust energy recovery. This paper compares the exergy availability and losses between the ORC and the ETC. In this particular study, exhaust data from the Proton 1.6L CamPro CFE turbocharged engine was used. This particular engine already has a main turbocharger, making the added WHR as a secondary recovery system to further increase the engine efficiency. Both systems are coupled to a 1 kW electric generator for ease of comparisons. At first the available exergy is calculated for both WHR technologies. Exergy losses from rotating the generator are analysed to finally determine the thermal efficiency of the overall system. Exergy calculation is simplified to only account for chemical and physical exergy since kinetic and potential energy are negligible in comparison. Available exergy for ORC was significantly high which went up to 12.5 kW with the exergy losses recorded at 9.7 kW. The ETC achieved only 5 kW but had a small loss at 8x10-3 kW. Average thermal efficiency of the ORC systems was 10.7% compared to ETC which was 58.7%. It can be concluded that the complexity of the ORC system contributes to its downfall where multiple components increase its exergy losses compared to the simplistic design of an ETC.
Identification of Trending Topics Using Periodically Collected Twitter Data
Authors: V Ranjini , R Soundarya , Karthika S , Mohanavalli S , . Srividhya 
Published: July 2018

Social media is an interactive personal tool to articulate an individual's cognizance. This project involves one such micro blogging platform, Twitter. Trends can simply be defined as the frequently mentioned topics throughout the stream of user activities. Mining twitter data for identifying trending topics provides an overview of the topics and issues that are currently popular within the online community. Therefore, the most effective and suitable methodology should be implemented to identify the short term high intensity discussion topic. The trigrams or higher order n-grams are used to determine the trending topic. Twitter Streaming API is used to collect data from the Twitter accounts using API keys and the formatted tweets are stored in a non SQL database. Subsequent steps include data cleansing followed by stemming. The processed data is subjected to trend prediction algorithms like DB Scan, Frequent Pattern Mining, Trees(fuzzy/inductive/decision), Soft frequent pattern mining and empirical statistics such as Frequency metric, TF-IDF, Normalized term frequency and Entropy based on the key parameters to identify the most trending event within a period of time. Thus, the trending topics can be detected with a reasonably close approximation to the expected outcome. This can be used in detecting and predicting events for an early warning system (or) prediction tools and also artificially intelligent services like web search system or recognition systems.
A Technology Overview and Future Scope of Bio-Mems in Tropical Disease Detection: Review
Authors: Katta Miranji , R Sandanalakshmi 
Published: July 2018

From past few years, there is a revolutionary progress in biomedical sensing applications as a result of incredible growth in technological advancements. The biomedical sensors play a key role in the global market and it is estimated to reach 15.01 Billion US$ by 2022. As a worldwide research focus, there is especially a strong interest in the use of micro and Nanosystems in health monitoring. Most of the researchers applying innovative techniques to noninvasive patient monitoring and diagnostics developed with micro and nanofabricated technologies like MEMS/NEMS. Which provides more compact, inexpensive, accurate, and reliable detection tools to identify more life-threatening diseases in early times. This review paper will focus on various tropical disease detection methods and scope of the BioMEMS towards the detection of more prevalent tropical diseases.
Heart Disease Prediction
Authors: Vinothini S , Singh Ishaan , Pradhan Sujaya , Sharma Vipul 
Published: July 2018

Machine learning algorithm are used to produce new pattern from compound data set. To cluster the patient heart condition to check whether his /her heart normal or stressed or highly stressed k-means clustering algorithm is applied on the patient dataset. From the results of clustering ,it is hard to elucidate and to obtain the required conclusion from these clusters. Hence another algorithm, the decision tree, is used for the exposition of the clusters of . In this work, integration of decision tree with the help of k-means algorithm is aimed. Another learning technique such as SVM and Logistics regression is used. Heart disease prediction results from SVM and Logistics regression were compared.
Design and Analysis of 8-bit Vedic Multiplier in 90nm Technology using GDI Technique
Authors: Sharma Sandesh , Sharda Vangmayee 
Published: July 2018

Vedic mathematics is an old mathematics which is more effective than other mathematic procedures. Vedic maths is utilized as a part of numerous applications, for example, hypothesis of numbers, compound duplications, squaring, cubing, square root and solid shape root and so on. Absolutely there are 16 sutras and 14 sub-sutras in Vedic maths. Among those sutras, just 3 sutras and 2 sub-sutras are utilized for augmentation. Multiplier is a very important part of a microprocessor as multiplication is performed continuously in all calculative procedures. This paper is in importance of a 8-bit multiplier designed in 90 nm technology. Urdhva-Tiryakbyham is the sutra that is used for multiplication in Vedic mathematics. Actualizing the different scientific operations utilizing Vedic Mathematics causes us accomplish better speed, bring down unpredictability and higher execution.[2] The technique used is Gate Diffusion Input (GDI) which is a more refined way to design a circuit which less complex than circuits designed by other techniques.
Mathematical Model of the Dynamic Action of the Controlled Vibration Exciter on the Processed Medium of Mixer with Toroidal Working Container
Authors: Zhyhylii Serhii , Kharchenko Maksym , Katella Julia 
Published: July 2018

Vibration mixers are technological machines that are meant for mixing of different processed medium. A driving force in such machines is realizing by oscillation exciter. In this article, the constructive scheme of the vibration mixer is introduced. Such a mixer has the toroidal working container and is equipped with controlled mechanical centrifugal unbalanced exciters of oscillations with a vertically located unbalanced shaft. The work principle of one of the possible configurations in this exciter is considered and provided. One inflexible and two mobile unbalances are strengthen on its unbalanced shaft. The mobile unbalances by means of independent external action, that is caused by mechanism for managing of mobile unbalances, have an opportunity to change synchronously its positions on the unbalanced shaft directly in time of mixer’s work. The centrifugal inertia forces of inflexible and mobile unbalances make the dynamic wrench that consists of the main vector

and the main moment

and rotates with unbalanced shaft. It is determined that the value of the main vector

and the main moment

evaluate the dynamic action of this vibration exciter to the mixer’s working container. The mathematical model of the dynamic action of oscillator exciter on the processed medium of mixer with the toroidal working container is received. Depending on the value of turn angle of mobile unbalances from its starting positions exciter: a) staying in the dynamic balance state; b) is generating the translation force field; c) generates the wrench force field of this or that direction. These opportunities of controlled vibration exciter firmly provide anfractuous circulative motion of the processed medium on the volume of the mixer’s working container. Using of controlled exciter also leaves out the transfers through intermediate resonance frequencies. As its starting and stopping happen in a dynamic balance state, so it leaves out the possibility of manifestation of the “Sommerfeld’s effect” that is harmful for the driven motor, improves the constructive availability of the vibration mixer and increases its efficiency and life duration.
Trends of Energy Performance Certification of Buildings in Azerbaijan
Authors: Akbarova Samira , . . 
Published: July 2018

Energy consumption by construction sector is estimated by multi- disciplinary energy auditing and results are represented in an energy performance building certificate. The building certification, which is a world trend today, is applied successfully for many buildings inAzerbaijantoo. The purpose of this paper to study the current methodology of energy building certification in terms of the technological aspects of energy auditing. Many documents of the European Union directives and Russian building codes and regulations in the field of ecology and energy saving in construction sector have been revised for implementing them as base for national energy performance certification system AZERI GREEN ZOOM. The assessment categories and main requirements have been considered. The results of this overview have shown the trends and problems in this field. There are given examples of certified buildings.
The Statistical Characteristics and Calculated Values for Air Temperature in Building`S Cladding Design
Authors: Kariuk Alla , Koshlatyi Oleg , Mishchenko Roman 
Published: July 2018

The article demonstrates the methodology and the results of statistical characteristics determination and territorial distribution as well as free air winter temperature calculated values required for the designing the building`s cladding.Daily temperatures of free air have been described by a probabilistic model of quasi-stationary differentiable random process. The expectation function is set by the Fourier series or sequence of monthly temperatures, the standard and asymmetry are determined by the mathematical expectation. The Ordinates Distribution Law is described by a linear combination of Gauss and Gumbel distributions. The frequency structure is determined by the time-constant value of the effective frequency. The required statistical characteristics are determined by the results of systematic measurements of average daily air temperature at 485 observation points inUkraine.The calculated values of winter air temperature are determined by using probabilistic approach with accounting for return period equal to building working life, as well as temperature averaging interval, reflecting building`s cladding thermal inertia. The map of territorial distribution of Ukraine has been created based on free air temperature values and dependencies which can lead to calculated values taking into account given building operating life, temperature averaging interval and altitude in mountainous regions.The developed methodology ensures the possibility of minimal calculated values determination for free air temperatures including all the factors mentioned above, and the suggestions as for introduction of norms enabling accounting for building`s cladding thermal inertia within the building working life when making thermotechnical characteristics calculations.
Image recognition in the artificial agriculture officer
Authors: Lokesh B , Charishma Ravoori , Hiranmai Natuva 
Published: July 2018

Farmers face a multitude of problems nowadays such as lower crop production, tumultuous weather patterns, and crop infections. All of these issues can be solved if they have access to the right information. The current methods of information retrieval, such as search engine lookup and talking to an Agriculture Officer, have multiple defects. A more suitable solution, that we are proposing, is an android application, available at all times, that can give succinct answers to any question a farmer may pose. The application will include an image recognition component that will be able to recognize a variety of crop diseases in the case that the farmer does not know what he is dealing with and is unable to describe it. Image recognition is the ability of a computer to recognize and distinguish between different objects, and is actually a much harder problem to solve than it seems. We are using Tensorflow, a tool that uses convolutional neural networks, to implement it
A Potential Parameter for A Non-Darcy Form of Two-Phase Flow Behaviour, Compressibility Related
Authors: Busahmin Bashir , Maini Brij 
Published: July 2018

Numerous scientists did their studies and conducted various laboratory experiments related to a non-Darcy behavior of a two-phase flow for the past thirty years, and made an effort to clarify the behavior. Non-Darcy flow behavior, phenomena occurred in primary recovery method of reservoirs that have an API degree gravity of less than 20. It was confirmed that it results in greater production. The compressibility of foam fits to be the one of the general fundamental factor that directs the lifetime of a non-Darcy form of two phase flow behavior or also is known as the foamy oil. In the process of usual drive depletion, foamy oil featured of low production GOR and high daily production rate. Foamy oil is more compressible than conventional solution gas due to the oil that gas dispersed in it; as a result, oil formation volume factor is much higher than that in conventional oil. This paper represents a laboratory data followed by some of the analysis related to the properties of non-Darcy form of two phase flow and that is the compressibility parameter. The experimental results showed that at different saturation pressures and at a room temperature, the trends fit the expected behavior above the saturation pressures. Moreover, the measurements of live oil compressibility were also attempted below the saturation pressures. It was concluded that other properties such as the viscosity is added a significant effect rather than compressibility in the behavior of what so called foamy oil compared to the presence or absence of asphaltenes and other polar oil components.
Design of Low Delay Ring Oscillator Using CMOS
Authors: Shiyamala S , Kavitha T 
Published: July 2018

In the Era of digital World, low power applications are the needs of the market to save the resources. Delay elements (e.g. digital clock) are essential parts of such digital applications. Ring oscillators have been used because of their ease of implementation, wide tuning ranges, operating at low voltages and existing possibility of complete integration in standard CMOS processes. It desires at identifying the best possible configuration for the hoop oscillators having the least strength intake and precise delay with lesser sensitivity to the variations inside the temperature and deliver voltage for frequencies of few KHz. while N = 7, for 0.18 µm generation , put off is 0.07ns simplest. Compare with N = 3, 14.2 % delay time reduced and 12.6 % lower when N= 7 taken into account.