bluuebunny/crossref_metadata_2025 huggingface dataset:
Using Polyurethane Coating of Concrete Pipes with Acid Attack Resistance in Sewer Lines
Authors: H. Ismail Alhassan , Sh. Abed Basim
Published: April 2019

One of the most important challenges facing the designers of the sewerage system is the corrosion of sewers due to the influence of sewerage contaminates which lead to failure of the main lines of sewers. In this study, a reference mix of 1: 1.5: 3 was used and the 4% Flocrete PC200 by weight of cement was added to the same mixing ratio in the second mixture. Twenty-four samples were tested for each mixture, 12 of which were used to compression strength test in ages (7, 14 and 28) day and six samples were submerged after 28 days of wet treatment at (5 and 10) % concentrations of sulfuric acid. The other six samples were painted after 28 days of wet treatment with coating Polyurethane and after 24 hours were flooded with a concentration of (5 and 10) % of sulfuric acid. The results showed that the specimens coated with polyurethane paints, whether they were referenced or added 4% Flocrete PC200, were very high resistance to corrosion, where the weight loss ratio was 0%.
Evaluation of Optimum Content of Rice Husk Ash to Improve the Hot Asphalt Concrete Performance
Authors: Shafabakhsh Gholamali , Divandari Hassan , Reza Sajadi Seyed
Published: April 2019

Durability of asphalt pavements is related to choosing proper materials. Fillers as the smallest particles of stone materials, and one of the most important parts of asphalt mixtures, exert pivotal effects on the performance of asphalt mixtures, by filling empty spaces and because of their softness, surface features and chemical compounds. Rice husk ash is one of the waste products of burning rice husk in powerhouses that is accounted as biomass. Recently, a good many of investigations have shown that rice husk ash, as a high quality pozzolan, can be properly replaced of common aggregates. In this study rice husk ash was used as filler in hot mix asphalt, and the result mixturesâ€™ mechanical properties was compared with ordinary mixtures whose filler was stone powder. Asphalt mixture samples with two different aggregate graded, and 0, 25, 50, 75 and 100 percent of rice husk ash which were the substitution of stone powder content, were made and the effects of using rice husk ash on the moisture sensitivity, resilience modulus, rutting and dynamic creep of asphalt mixtures were investigated. The results demonstrated that increase of using rice husk ash as the replacement of prevalent fillers in hot mix asphalts, noticeably improves their performance; however, because of excessive stiffness created by rice husk ash, it's better to use it in optimized percentage. Accordingly, statistical analysis of the testsâ€™ results leads to presenting an optimized model for the content of Rice Husk Ash to be used in hot mix asphalt. Finally, Rice Husk Ash content were suggested 26% for graded number 4 and 48% for graded number 5 as replacements for stone powder filler.Â
Performane of Activated Carbon Adsorption in Removing of Organic Pollutants from River Water
Authors: Khalaf Erabee Iqbal , M. Ethaib Saleem
Published: April 2019

This study presents a water treatment process by using a down-flow fixed bed activated carbon contractor model. Two types of activated carbon (AC) used,Â  powder and granular activated carbon from date pits as a raw material, the parameters tested are biochemical oxygen demand (BOD),Â  chemical oxygen demand (COD), total suspended solid (TSS), total dissolved solid (TDS) and pH. The columnÂ  diameter and bed depths are made constant, whereas the size of activated carbon is varies. The obtained removal efficiencies for sample of river water are 39.8% of BOD, 41.8% ofÂ  COD, 81.8% of TSSÂ  and 67.7% of TDS for granular AC. For powdered AC the removal efficiencies of parameters are 34.7% of BOD, 17.6% of COD, 72.7% of TSS and 50% of TDS. The granular AC made from date pits is the best activated carbon because of low cost of raw material and it is widely applied for usage in the water or wastewater treatment, as it is very effective in terms of cost and performance to cater the increasing demand of clean water.Â Â
Crude Oil Effect on the Clayey Soil Mechanical and Physical Properties
Authors: A. J. Al-Adhamii Rana , Y. Fattah Mohammed , Th. Al-Hadidi Maysam
Published: April 2019

Soil defilement with "raw petroleum" is a standout amongst the most across the board and genuine ecological issues going up against both the industrialized and oil country like Iraq. Along these lines, the impact of "raw petroleum" on soil contamination is one of most critical subjects that review these days. The present examination expects to research "unrefined oil"effectson the mechanical and physical properties of clayey soils. The dirt examples were acquired from Al-Doura area in Baghdad city and arranged by the "Brought together Soil Grouping Framework (USCS)" as silty mud of low pliancy (CL). Research center tests were done on contaminated and unpolluted soil tests with same thickness. The dirtied tests are set up by blending the dirts with various percent of "raw petroleum", and these percent are5%, 10% and 15% by dry weight. The exploration results demonstrate a reduction in the quality of the dirt, explicit gravity, greatest dry thickness and ideal dampness content. Then again, the outcomes showed an expansion in Atterberg cutoff points and compressibility of the dirt. The outcomes demonstrated additionally an impressive increment in the estimation of combination parameters such ascoefficient of volume compressibility, pressure file and lessening in the coefficient of solidification and shear quality.Â Â
Assessment of Reinforced Recycling Aggregate Concrete Beams Under Torsional Moment
Authors: F. Sarsam Kaiss , Salih Nisreen , Hussein Mazin
Published: April 2019

The recycling of aggregate concrete (RAC) is the ideal solution for reducing the natural resources. The experimental works have been carried out to investigate the torsional moment behavior and the strength of RAC beams in comparison with those  beams consisting of natural aggregate concrete (NAC). Nine beams were casted with different compression strengths of concrete (25, 45, and 70 MPa), and coarse RAC of three different percentages within the full bloc of coarse aggregate in concrete mixes (0, 50, and 100%), with the same reinforcement ratio. The properties of the concrete comprised of recycled and natural aggregates were investigated. The results showed, that the difference in the torque of first crack is less than 12.5% for RAC and NAC beams, while the difference in ultimate torque is less than 7.7% for RAC and NAC. Also, it can be conclude that, the torsional moment performance of RAC beams is acceptable as compared to the conduct of NAC beams and the use of RAC is practically possible
High Frequency Link Power Conversion System for Fuel cell Applications
Authors: Babu A. R. Vijay , Venkatesh P.M. , Suresh Dr.K.
Published: April 2019

In this paper an empirical model of the air breathing (ABFC) is proposed to investigate the cell voltage verses current density characteristics and harnessing of maximum energy from natural resource whenever it’s available. The power electronic converters role is important in between source and load. Proper controller can switch the converter in the desired time and improve the system performance and stability. The mathematical model of the ABFC is built in MATLAB/Simulink. The proposed system also has boost converter, bidirectional DC-DC converter and inverter for grid and energy integration. The boost inverter/buck rectifier in this system is controlled by ANFIS controller is for better output, boost and bidirectional DC-DC converters are controlled by PID controller in closed loop. Overall operations are based on modes main controller, which control the system operation in different modes. Any variations happening in the input, storage and load parameters, the controller changes the mode and operates the system in effective way.
Measures for Resource Saving for Diesel Locomotives
Authors: Aulin Dmytro , Zinkivskyi Artem , Anatskyi Oleksandr , Kovalenko Dmytro
Published: April 2019

This article discusses the measures for efficient use of fuel and energy resources in the railway industry. The calculation of the initial moment of starting the diesel engine and the necessary position of its crankshaft is made, on the basis of which it is proposed to modernize the locomotive start-up system with a decompressor. These measures are aimed at reducing the dynamic loads of engine components and reducing their wear and tear, as well as failure preventing. A method for the clean-up of fuel systems and the cylinder-piston diesel engine group of diesel locomotives was developed and tested using a special cleaning liquid that dissolves and removes solidified particles from pipelines and tanks. Measures have been proposed on the use of advanced models to test the modernized locomotives that will reduce the duration of the tests, resource and economic costs. The use of advanced testing model involves choosing the level of accuracy of the test results and, consequently, their duration and cost.
Fulfillment in Logistic Infrastructure of International Internet-Trade of Ukrainian Companies
Authors: Diachek Vitalii , Diachek Olga , Shuba Tetiana
Published: April 2019

The article describes the concept of fulfillment, its essence and role for ensuring effective international trade on the Internet. The structure and complex of basic and additional services of fulfillment were considered. The authors gave the specific features of fulfillment that define this type of activity. The advantages and disadvantages of fulfillment outsourcing were determined. It was justified the expediency of transferring this activity to a fulfillment operator, especially in cases when small companies and start-ups start to trade internationally. The structure and algorithm of providing fulfillment services by the operators were analyzed.
Formation of the Conceptual Basis of State Support for Development of Social Enterprises in Ukraine
Authors: Dikan Olena , Obruch Hanna , Panchenko Nataliia , Frolova Natalia
Published: April 2019

The article deals with the phenomenon of social entrepreneurship. The importance of social enterprises in solving social problems and ensuring economic development of the state are outlined. The ranking of countries is based on the level of favorable conditions for the functioning of social enterprises, among which the most favorable conditions are characterized by the USA. The peculiarities of the state policy in the sphere of social enterprise development in South Korea are investigated, which, according to this rating, occupies the leading position among the countries in terms of state support of social business entities. The present state of development of subjects of social entrepreneurship in Ukraine is considered, which allowed to determine the main problems of their functioning. The conceptual basis of state support for the development of social entrepreneurship in Ukraine is formed, which is based on the definition of legal, financial, institutional and informational and consulting tools for the growth of social enterprises. Socio-economic effects of realization of social initiatives are revealed.
Electromagnetic Flux Analysis of Ds Hesfm for Directly Driven Actuator Used in Aircraft Applications
Authors: Soomro H. A. , Sulaiman E. , Jenal M. , Omar M. F. , Jusoh L. I. , Rahimi S.K.
Published: April 2019

This paper presents the electromagnetic flux analysis of dual stator hybrid excitation switched flux machines (DS HESFM) using segmental rotor for the directly driven electromechanical actuator aimed to use in aerospace applications. The advantage of designing a machine with directly driven system is to eliminate the intermediate gear box system with having minor component count and reduced jamming possibility. The proposed design of DS hybrid excitation with high torque density is investigated in this paper as a potential solution for aircraft applications.  The key intentions of the design are high level of actuator integration to reduce the overall weight and volume and fault tolerance ability. The proposed design of DS HESFSM has simple structure, which consist of only six field excitation coils (FECs) housed in outer stator along with six armature coils (ACs) whereas, six permanent magnets (PMs) are positioned in the inner stator. Moreover, DS HESFM structure is analyzed at open circuit and short circuit conditions conditions by means of “commercial 2D FEA package, JMAG-designer ver. 14.0,” released by JSOL Corporation.
Study and Characterization of Polystyrene/Titanium Dioxide Nanocomposites (PS/TiO2 NCs) for Photocatalytic Degradation Application: a Review
Authors: Qabel Hamzah Maytham , Oudah Mezan Salim , Nihad Tuama Alaa , Hasan Jabbar Abdullah , Arif Agam Mohd
Published: April 2019

Synthetic polymer/TiO2 composite such as Polystyrene/TiO2 has become recent highly research materials due to its potential and significant application in various fields. we can tune the polymer and nanoparticles by different techniques such as change the materials concentration, Exposure of materials to laser radiation, Exposure of materials to laser radiation, especially in tuning the polystyrene/TiO2 composite energy band gap. In this review, several methods of preparation are briefly explored such as pan-milling, precipitation, melt compounding, dip-coating, solution cast, and sol-gel method. Some recent advancement that focuses on the two basic elements: polymer and TiO2 are also included especially discussing on photocatalytic degradation that introduces photon as manipulate parameter to tune the polymer/TiO2 composite energy band gap. Scanning electron microscope (SEM) analysis of various polymer/TiO2 (type n concentration) and Polystyrene/TiO2 (concentration and nanoparticles sizes) are the focus of the discussion before exposure to laser radiation as photodegradation source.
The Impact of Monsoon Flood Phenomenon on Tourism Sector in Kelantan, Malaysia: A Review
Authors: Nurashikin Sungip Fauzi , Khairul Amri Kamarudin Mohd , Hafiz Md Saad Muhammad , Abd Wahab Noorjima , Puad Mat Som Ahmad , Umar Roslan , Ing Hoe Loh , Hakparn Surachate , Lertbunchardwong Kanittha , Potikengrith Tepvisit , Harith Hazamri
Published: April 2019

The northeast monsoon flood phenomenon is a natural disaster especially around East Peninsular Malaysia such as Kelantan. The main objective of this study is to identify the impact of the northeastern monsoon flood of Malaysia on the tourism sector. The climatology factors for tourism sector especially for the coastal zone tourism segment. Large floods as in 2014 have seen a lot of destroying local areas. Both the government and the non-government should formulate strategies to address the flood issue as a process of improvement for the future. Flood effects such as damage to building infrastructure, coastal beauty, facilities, interrupted services and tourist attractions. The findings show that floods that are among the most frequent climate change in all countries in Malaysia. However, the impact of this disaster will not only affect flood-damaged areas but also indirectly affect the growth of the tourism sector as it requires a reconstruction process. The study was conducted to illustrate the impact of the flood disaster that has affected the tourism sector.Â Â
Analyzing Climate Variability in Malaysia Using Association Rule Mining
Authors: A. A. Rashid Rabiatul , N. E. Nohuddin Puteri , Zainol Zuraini
Published: April 2019

Previous surveys proved that data mining is one of the methods that can be utilized for climate prediction, predominantly clustering and classification are the most applied methods in data mining to build a model to predict changes in the climate. Unlike the climate change, climate variability is a phenomenon where the occurrence of climate uncertainty is according to the changes year to year basis. This study is focusing to look at the effectiveness of the Association Rule Mining (ARM) techniques in predicting climate variability events in Malaysia. In this report, it explained how the patterns that exist within climate data is discovered using ARM and how the extracted pattern is used to predict climate variability. In this report also, a framework is developed to explain how ARM can generate rules and extract patterns from the data and how the extracted rules and patterns is used to develop a model for predicting climate variability event.
Flood Risk Index Assessment: Case Study in Lenggor River Basin, Johor, Malaysia
Authors: Afiqa Adila Zakaria Nurul , Shakir Mohd Saudi Ahmad , Khairul Amri Kamarudin Mohd , Hafiz Md Saad Muhammad
Published: April 2019

The objective of this research is to determine the correlation of selected hydrological variables, to analyzed the significance factors influenced the occurrences of flood, to propose the flood control limit system and establish new flood risk index model in Lenggor River Basin based on secondary data derived from Department of Drainage and Irrigation (DID). Application of Chemometric technique such as Spearman’s Correlation Test, Principle Component Analysis, Statistical Process Control and Flood Risk Index created the most efficient results. Result shows water level has strong factor loading of 0.78 and significant for flood warning alert system application. The Upper Control Limit (UCL) for the water level in study area is 33.23m while the risk index for the water level set by the constructed formula of flood risk index consisting 0-100. The results show 20.6% classified as High Risk Class with index range from 70 and above. Thus, these findings are able to facilitate state government to come out with a comprehensive plan of action in strengthening the flood risk management at Lenggor River basin, Johor.
Response of Groundwater and Soil Displacement at Slope of Electric Transmission Tower Due to Rainfall Events
Authors: NK Hazwani , U Fathoni , CO Rohayu , Arazad A.Z.
Published: April 2019

Climate change is one of the global challenges that give high impact to the environment and societies nowadays. One of the impacts of climate change is slope failure due to fluctuations in rainfall pattern. This paper aims to investigate the response between groundwater, soil displacement to rainfall and rainfall duration. The study was conducted by site observation at three different locations located under a transmission tower at hilly topography area. All parameters are observed hourly by specified instruments installed in the studied slopes. The study found that rainfall does not cause changes to groundwater and cumulative soil displacement increased proportionally to the amount of rainfall. The analysis extended on determining the correlation between displacement to the amount of received rainfall and rainfall duration by the statistical approach and the predictive variability is 91%. The mathematical equation expressed by this study could be used in predicting soil displacement based on rainfall events, the possibility of landslide occurrence or future modelling purposes.
Effect of Epoxy/Al2O3/CeO2 Coating on Corrosion Rate and Mechanical Properties of Mild Steel
Authors: Nasih M.N. , Vicki W.V.
Published: April 2019

In any industry like a power station, corrosion is a natural process that commonly happens and one of the problems that need to be considered. The example is in the underground pipeline where sea water is transported for cooling purposes. This study mainly on corrosion rate and mechanical properties of coating material on mild steel. Theoretically, Metal can get the higher rate of corrosion when exposed to the surrounding environment. Corrosion can cause to a lot of unwanted conditions, including failures in functions and higher maintenance cost as well as it is too risky for safety. The objective of this project is to study the corrosion rate and mechanical properties of the coating material of pure epoxy, aluminum oxide (Al2O3) and cerium oxide (CeO2) on mild steel. Different composition of epoxy/ Al2O3/CeO2 coating tested on mild steel specimen. There is three experimental conduct which is a Gamry test for corrosion rate and impact and hardness test for mechanical tests. As a conclusion, the results from the tests show that the coated mild steel of Al2O3-CeO2-epoxy obtained the best value in term of corrosion resistance and mechanical properties.
Influence of Project Type, Location and Area towards Construction Delay: a Review on Significance Level of Delay Factors
Authors: Ramli Mohd Zakwan , Malek Marlinda Abdul , Hamid Baizura , Roslin Nursyadzatul Tasnim , Roslan Mohd Eqwan Mohd , Norhisham Shuhairy , Mohd Mohd Firdaus
Published: April 2019

Construction delay is something that is inevitable, which is why it is a global problem faced by the construction industry. This paper highlighted the characteristics that influenced construction delay but usually ignored in many researches. Project type, location, and area are the characteristics that are not concerned by many. Therefore, this study is reviewing literature in construction delay to find the significance of the influence of the mentioned characteristics. It was found that there is a significant influence of the project type and location towards construction delay problems, where different project type experienced different delay causes. This was probably due to different difficulties faced by each of project type. Project location characteristic also undergoes the same pattern; which is within the same region, the same pattern of major cause was identified. Meanwhile, the insignificant level of influence was identified for the construction area characteristic. This was probably due to the readiness and awareness of contractor regarding the site condition before the construction start. It is expected that this study will open up more discussions regarding these characteristics in the future.
Effectiveness of Green Strategies to Reduce Carbon Emission in the Putrajaya Campus Buildings of Universiti Tenaga Nasional
Authors: Ba-Batin Abubaker Salem Saleh , Haider Hattan Ahmed Ahmed , Wong Leong Sing , Taresh Haitham Adnan Abdulatef
Published: April 2019

Low Carbon Buildings are regarded as structures with low carbon emission in the construction sector. They are environment-friendly in a sense that they contribute to the reduction in carbon emission through optimization of their energy consumption and passive cooling system. This study concentrated on green strategies that can reduce carbon emission of Putrajaya Campus buildings of Universiti Tenaga Nasional (UNITEN). Survey method in the form of questionnaire was applied to gather sufficient data for the research work. The survey work was performed on UNITEN building occupiers with diverse background inclusive of students, academic and non-academic staffs. The primary result implies that the methods of insulating the wall and utilization of energy saving air conditioners are most effective at reducing carbon emission of the buildings. It was also found that there is a low correlation with R-square value of 0.017 between the awareness on the impact of carbon emission from the air conditioning buildings and the awareness on climate change issue. This implies that there is a need for active measures to be taken to educate the respondents on the importance to reduce carbon emission of buildings in order to slow down climate change.
Review on Nickel Aluminide based Bond Coat Properties and Oxidation Performance for Thermal Barrier Coating (TBC) Application
Authors: Kadir NF. , Manap A. , Satgunam M. , Afandi Nurfanizan Mohd
Published: April 2019

Thermal Barrier Coating (TBC) as protective coatings are applied to maintain efficiency and prevent structural failures mainly in gas turbine system. This paper reviews on recent bond coating from Nickel aluminide bond coat with addition of Reactive Elements (RE). This paper also reviews the major concern in TBC with presence of different Reactive Element (RE) added in term of RE composition, properties and oxidation test performance. Recent studies are more focusing on few REs including Ce, Hf, La, Y and Zr based on oxidation property test results. The comparisons clearly show that ceramics addition are superior for bond coat mechanical and thermal properties improvement while RE addition such as Ce and Zr present excellent oxidation performance at 900Â°C and above.
Factors Affecting the Awareness of Biodiversity Conservation Among Students in Malaysia Private University
Authors: Jalil Nurul Jannah , Sharif Zainon Mat
Published: April 2019

Recently, biodiversity loss has become direr international. Human behavior is one of the causes that harm the biodiversity richness. Malaysia which is known as the megadiversity country also facing with the similar problem. Conservation of the biodiversity must be taken seriously and importantly by people to maintain the relationship between human and nature because we are affecting each other. Thus, this research was aiming to evaluate the relationship between human attitude, experience and knowledge toward the awareness of biodiversity conservation. The research was conducted using 4 variables from Ajzenâ€™s Theory of Planned Behavior (TPB) which are behavior, perceived behavioral control, subjective norms and attitude. This study was carried out in Malaysia by conducting a survey of 30 students from a private university. The findings of this study indicate that the mentioned have given the positive effect to the awareness of biological diversity conservation. In addition, the relation of knowledge and attitude also show the great correlation between themselves. Therefore, knowledge, experience and attitude are the factors that could increase peoples' awareness towards the biodiversity conservation and knowledge is the greatest influence in creating peoples' awareness.
Method of Integral Assessment of Soil Quality in Rural-Urban Areas Based on the Fuzzy Logic
Authors: Ivashchuk Olga A. , Fedorov Vjacheslav I. , Koskin Alexandr V. , Shcherbinina Natalia V. , Zhuravlev Maxim D.
Published: April 2019

This article proposes a method of integral assessment of soil quality in rural-urban areas based on the fuzzy logic, both from the standpoint of the possibility of living in a given territory, and from the point of view of the possibility of keeping subsidiary farming. There are determined the linguistic variables describing the main soils components of rural-urban areas and terms describing the meaning of these variables. There are constructed the membership function that determine the ratio of the measured soil quality parameters to the terms and the rules of fuzzy inference. The authors developed an algorithm that describes this method.
Non-valued Changeover Time Measures for Hiddxen Time Loss in Automotive Mechanical Component Production
Authors: H Abdul Rasib A. . , F Mohamad Rafaai Z. .
Published: April 2019

Generally, Hidden Time Loss exists besides all procedures and thus it has the direct influence on the rate of productivity. In the line of production, the most prominent tool to measure the performance is Overall Equipment Efficiency. Availability of equipment is one of the component to measure Overall Equipment Efficiency to cater the Hidden Time Loss. Though, in manual assembly and semi-automatic assembly procedure, the Overall Equipment Efficiency is not good fit to measure operational performance of assembly procedure. Along the manual assembly and semi-automatic assembly procedures some Hidden Time Loss has occurred particularly when same line of production provides high variety of product. Therefore, the current research introduces the Non-valued Changeover Time as one component of Time Loss Measures in assemble produces. A comprehensive literature analysis is done on the production operations along with the measures of performance to develop the Non-valued Change-over Time structure. Basically, a case study of two companies of automotive manufacturing is used to find the validity of structure of Non-valued Change-over Time. It is concluded that Non-valued Change-over Time is one of the measure of Hidden Time Loss in manual as well as semi-automatic assembly procedures.
Synthesis and Spectral Studies of Novel Palladium (O) Complex with Ciprofloxacin Antibiotic
Authors: S. Majeed N. , K. Kareem I. , N.A. Jafar N.
Published: April 2019

New complex of Palladium (0) with ciprofloxacin has been synthesized, The complex was portrayed by different physico - substance systems like essential examination, m.pt. , TLC, molar conductance estimation, attractive helplessness,13C- NMR, 1H-NMR and FT-IR. According to the results obtained, tetrahedral structure suggested for the prepared complex. The neutral ligand act in a Didentate mode, binding through oxygen atom of carbonyl group in pyridonering and oxygen atom of carboxyl ate group.
Modeling and Analysis of Micro Gas Turbine Compressor Different Parts
Authors: . Sinoj , Dev Anand M. , Ramasamy N.
Published: April 2019

The work displayed in the report is an endeavor at planning a miniaturized scale turbine of a given measurement. Broad writing audit was done to contemplate the different perspectives and utilizations of small scale turbines. An appropriate outline methodology was looked over the accessible strategies to plan distinctive parts of miniaturized scale turbine. CATIA is utilized broadly to make parts with diff sorts of tasks. At that point every one of the parts are collected for making a total turbine in CATIA Get together area. At that point they are sending for fast prototyping.
A Comparative Evaluation of Meta Classification Algorithms with Smokers Lung Data
Authors: Kavitha K. , Rohini K. , Suseendran G.
Published: April 2019

Data mining is the course of process during which knowledge is extracted through interesting patterns recognized from large amount of data. It is one of the knowledge exploring areas which is widely used in the field of computer science. Data mining is an inter-disciplinary area which has great impact on various other fields such as data analytics in business organizations, medical forecasting and diagnosis, market analysis, statistical analysis and forecasting, predictive analysis in various other fields. Data mining has multiple forms such as text mining, web mining, visual mining, spatial mining, knowledge mining and distributed mining. In general the process of data mining has many tasks from pre-processing. The actual task of data mining starts after the preprocessing task. This work deals with the analysis and comparison of the various Data mining algorithms particularly Meta classifiers based upon performance and accuracy. This work is under medical domain, which is using the lung function test report data along with the smoking data. This medical data set has been created from the raw data obtained from the hospital. In this paper work, we have analyzed the performance of Meta classifiers for classifying the files. Initially the performances of Meta and Rule classifiers are analyzed observed and found that the Meta classifier is more efficient than the Rule classifiers in Weka tool. The implementation work then continued with the performance comparison between the different types of classification algorithm among which the Meta classifiers showed comparatively higher accuracy in the process of classification. The four Meta classifier algorithms which are widely explored using the Weka tool namely Bagging, Attribute Selected Classifier, Logit Boost and Classification via Regression are used to classify this medical dataset and the result so obtained has been evaluated and compared to recognize the best among the classifier.
Machine Learning-Based Prediction System For Chronic Kidney Disease Using Associative Classification Technique
Authors: Wang Zixian , Won Chung Jae , Jiang Xilin , Cui Yantong , Wang Muning , Zheng Anqi
Published: April 2019

Technological development, including machine learning, has a huge impact on health through an effective analysis of various chronic diseases for more accurate diagnosis and successful treatment. Kidney disease is a major chronic disease associated with aging, hypertension, and diabetes, affecting people 60 and over. Its major cause is the malfunctioning of the kidney in disposing toxins from the blood. This study analyzes chronic kidney disease using machine learning techniques based on a chronic kidney disease (CKD) dataset from the UCI machine learning data warehouse. CKD is detected using the Apriori association technique for 400 instances of chronic kidney patients with 10-fold-cross-validation testing, and the results are compared across a number of classification algorithms including ZeroR, OneR, naive Bayes, J48, and IBk (k-nearest-neighbor). The dataset is preprocessed by completing and normalizing missing data. The most relevant features are selected from the dataset for improved accuracy and reduced training time. The results for selected features of the dataset indicate 99% detection accuracy for CKD based on Apriori. The identified technique is further tested using four patient data samples to predict their CKD.
Thermal Energy Recovery from a Grid Connected Photovoltaic-Thermal (PVT) System Using Water as Working Fluid
Authors: Salami Tijani Alhassan , Farhan Bin Md Tahir Amer , Kubenthiran Jeeventh , Singh Bhathal Singh Baljit
Published: April 2019

A Photovoltaic Thermal collector (PVT) is a combination of Photovoltaic (PV) and Thermal (T) collector. Many studies have tried to improve the electrical efficiency and thermal efficiency of this PVT system. The efficiency is influenced by many system design parameters and operating conditions such as the absorber temperature, velocity and pressure distributions. In this study, two new design concepts of absorber configuration of thermal collector have been investigated. This study also provides an important opportunity to advance the understanding of the effect of different geometrical configuration on the performance of the absorber.Â  Simulations were performed using ANSYS FLUENT 16.0 for both absorbers to determine the best absorber design that gives the highest thermal efficiency. Based on the simulations performed, perpendicular serpentine absorber proved to be the best design with the higher thermal efficiency of 56.45%.Â Â  Â
Analysis of Genetic Diversity in three Kazakh Sheep using 12 Microsatellites
Authors: Dossybayev Kairat , Mussayeva Aizhan , Bekmanov Bakytzhan , Kulataev Beibit
Published: April 2019

The genetic structure of three Kazakh sheep breeds was examined by using 12 microsatellite loci. A total of 144 alleles were detected from the 12 STR loci, with a mean value of 12.0. The highest allele diversity was found at the locus CSRD247 (16 alleles). PIC value showed that all studied STR markers are more informative and appropriate for genetic analysis of three Kazakh sheep populations. Beside of INRA006, all markers had high level of genetic variability. As Fixation index shows, the excess of the heterozygosity was observed only in loci MAF065. Obtained number of private alleles in Edilbai, Kazakh Arkhar Merino and Kazakh Fine-wool sheep were 25, 17 and 15 respectively. Genetic diversity was higher in Edilbai population than in other two populations. The genetic variability was lower in Kazakh Arkhar Merino sheep than in the Edilbai and Kazakh Fine-wool sheep breeds. The genetic distance was the largest between Edilbai and Kazakh Arkhar Merinos. Also, the moderate differentiation was observed between Edilbai and Kazakh Arkhar Merinos.Â Â Â
Supply Chain integration and Sustainable supply chain performance: A case of Manufacturing firms from UAE
Authors: Ahmed Khamis al Naqbi Rashid , Bin MD Yusoff Rosman , Binti Ismail Fadillah
Published: April 2019

Sustainability is becoming a more important factor in the processes of organizations. Supply chains management (SCM) has acknowledged a great deal of interest by researchers and practitioners. The primary objective of the current research paper is to examine the relationship between internal integration and sustainable supply chain performance. In addition to that, the study has focused on the mediating effect of supplier integration and customer integration in the relationship between key between internal integration and sustainable supply chain performance. The study focuses on manufacturing enterprises of UAE under subject investigation and its relationship with sustainability goals. A detailed literature has been reviewed critically to develop the hypothesis of the study. A questionnaire survey was adopted to collect data from supply chain managers of manufacturing companies. Smart PLS 3 (SEM) is used to analyze the collected data. The results of the study have shown a great deal of agreement with the proposed hypothesis. Analysis of the study is divided into two major parts. Part one is based on an outer model assessment in which reliability and validity were examined. The second part is based on an inner model assessment in which hypotheses were tested. The result of the study will be useful for policymakers and researchers in understanding the emerging role of environmental concerns in strategic management and operational management.Â Â Â
HUKUM DAN RENCANA TATA RUANG KOTA: URGENSI KEBIJAKAN PEMBANGUNAN KAWASAN PERKOTAAN BERBASIS SUSTAINABLE ECO CITY
Authors: Adiyanta F.C. Susila
Published: April 2019

Pembangunan kawasan perkotaan dan pemukiman oleh pemerintah  dan swasta menimbulkan dampak bagi lingkungan hidup, untuk itu mereka perlu menyusun rencana tata kota berbasis sustainable eco city. Isu pokok dari penelitian ini adalah latar belakang, parameter, dan urgensi pembangunan tata kota yang berbasis sustainable eco city.  Penelitian ini menggunakan pendekatan sosiolegal, dan bertujuan untuk mendeskripsikan, serta menjelaskan berbagai faktor yang menjadi pertimbangan bagi penetapan kebijakan rencana  tata  kota yang berbasis sustainable eco city.  Hasil penelitian: a) kondisi geografis, topografis, isu-isu sosial, ekonomi, dan lingkungan adalah dasar  pertimbangan pembangunan tata kota berbasis sustainable eco city; b) prinsip-prinsip demokrasi, keadilan, dan keberlanjutan merupakan parameter pembangunan tata kota berbasis sustainable eco city; dan c) urgensi tata kota berbasis sustainable eco city  adalah terwujudnya kesejahteraan umum.  Rekomendasi  penelitian ini adalah: a)  perencanaan kegiatan pembangunan dan pengembangan kawasan pemukiman harus memenuhi syarat-syarat perijinan, analisis dampak lingkungan dan aspirasi masyarakat; b) perlu adanya penguatan kapasitas lembaga pengawasan yang melibatkan publik dalam semua kegiatan pelaksanaan kebijakan pembangunan dan pengembangan kawasan pemukiman.
Pengaruh Kekasaran Permukaan terhadap Performa Slider Bearing Bertekstur dengan Menggunakan Pendekatan CFD
Authors: Tauviqirrahman Mohammad , Suryaman Mufti M. , Muchammad Muchammad
Published: April 2019

Dalam teori pelumasan klasik hidrodinamika, asumsi permukaan kontak bearing yang benar-benar halus sering kali digunakan. Meskipun demikian, telah dibuktikan bahwa asumsi tersebut tidak realistis dikarenakan pada umumnya, tidak ada permukaan bearing yang benar-benar halus. Tulisan ini membahas pengaruh kekasaran permukaan terhadap performa slider bearing bertektur dengan menggunakan pendekatan CFD (computational fluid dynamic). Model kavitasi multi-phase digunakan untuk memodelkan fenomena kavitasi yang lebih riil. Performa slider bearing dengan tingkat kekasaran permukaan tertentu dibandingkan dengan slider bearing halus dengan menvariasikan kondisi inersia. Berdasarkan hasil simulasi, ditemukan bahwa tekanan hidrodinamik dan daya dukung beban berkurang dengan bertambahnya kekasaran permukaan. Selain itu, jika bearing dirancang agar memiliki kondisi inersia yang rendah, daya dukung beban akan menjadi lebih besar.
Two siblings with Gaucher type 3c: different clinical presentations
Authors: Karakoyun Miray , Canda Ebru , Kiran Tasci Ezgi , Dogan Eser , Coker Mahmut , Aydogdu Sema
Published: April 2019

Background

Gaucher disease (GD) is a lysosomal storage disorder caused by autosomal recessive mutations in the glucocerebrosidase (GBA) gene, which encodes acid β-glucosidase. GD type 3c is a rare group characterised by cardiovascular involvement, and homozygous D448H is the most frequent mutation.

Case presentation

We describe two patients who had homozygous D448H mutations. The index patient had hepatosplenomegaly, liver insufficiency and cardiac involvement and her sister had severe cardiac involvement with cardiomyopathy and diffuse aortic calcification. The index case’s liver was transplanted at the age of 6 months from a related donor and her sister who had severe cardiovascular disease died at the age of 12 years.

Conclusions

Our patients had clinical variability. We need to discuss whether liver involvement could be the initial signs in patients with GD type 3c.
Adopting Chip Sealing Performance-Based Approaches to Determine Rational Design Quantities
Authors: Guirguis Minas , Buss Ashley
Published: April 2019

Chip seal research advocates for performing rational design computations prior to construction to determine the initial chip and binder application rates. Research indicated that a major concern in chip seal construction industry is the lack of following a formal/documented computational design approach. This study is a result of research that investigated ways to improve chip seal design specifications in Oregon State, focusing on field application rates. The objective of this article is to encourage agencies and contractors to adopt a formal established design approach to determine their aggregates and binder application rates. This is established through identifying the parameters considered in the design while showing straightforward procedures to follow formal design approaches. Chip seal design calls for conducting laboratory and field evaluations and uses the results as input data to estimate the appropriate quantities of materials. Thus, involved parties at the design stage are required to (1) understand the properties of chip seal materials (aggregate and binder), (2) identify the pre-seal road condition, and (3) use said information in the design process. This study uses various roadways located in Klamath Falls, Oregon to verify the importance of using rational design procedures. The roadways were constructed in accordance with Oregon Department of Transportation specifications; however, application rates were based upon the agency’s previous experience rather than using a rational design approach. The study compares roadways’ infield application rates and rationally estimated rates based upon two commonly used methodologies, namely McLeod and New Zealand. Findings shows that roadways constructed using infield application rates close to the rationally estimated rates had better embedment and a longer predicted life span when compared to the rest of roadways that had excessive aggregate amounts and less binder content.
Inhibiting Bone Morphogenetic Protein 4 Type I Receptor Signaling Promotes Remyelination by Potentiating Oligodendrocyte Differentiation
Authors: Govier-Cole Alistair E. , Wood Rhiannon J. , Fletcher Jessica L. , Gonsalvez David G. , Merlo Daniel , Cate Holly S. , Murray Simon S. , Xiao Junhua
Published: April 2019

Blocking inhibitory factors within CNS demyelinating lesions is regarded as a promising strategy to promote remyelination. Bone morphogenetic protein 4 (BMP4) is an inhibitory factor present in demyelinating lesions. Noggin, an endogenous antagonist to BMP, has previously been shown to increase the number of oligodendrocytes and promote remyelinationin vivo.However, it remains unclear how BMP4 signaling inhibits remyelination. Here we investigated the downstream signaling pathway that mediates the inhibitory effect that BMP4 exerts upon remyelination through pharmacological and transgenic approaches. Using the cuprizone mouse model of central demyelination, we demonstrate that selectively blocking BMP4 signaling via the pharmacological inhibitor LDN-193189 significantly promotes oligodendroglial differentiation and the extent of remyelinationin vivo. This was accompanied by the downregulation of transcriptional targets that suppress oligodendrocyte differentiation. Further, selective deletion of BMP receptor type IA (BMPRIA) within primary mouse oligodendrocyte progenitor cells (OPCs) significantly enhanced their differentiation and subsequent myelinationin vitro. Together, the results of this study identify that BMP4 signals via BMPRIA within OPCs to inhibit oligodendroglial differentiation and their capacity to myelinate axons, and suggest that blocking the BMP4/BMPRIA pathway in OPCs is a promising strategy to promote CNS remyelination.
Anti-tumour activity of everolimus and sunitinib in neuroendocrine neoplasms
Authors: Daskalakis Kosmas , Tsoli Marina , Angelousi Anna , Kassi Evanthia , Alexandraki Krystallenia I , Kolomodi Denise , Kaltsas Gregory , Koumarianou Anna
Published: April 2019

Comparisons between everolimus and sunitinib regarding their efficacy and safety in neuroendocrine neoplasms (NENs) are scarce. We retrospectively analysed the clinicopathological characteristics and outcomes in 92 patients with well-differentiated (WD) NEN of different origin (57 pancreatic NENs (PanNENs)), treated with molecular targeted therapy (MTT) with everolimus or sunitinib, first- (73:19) or second-line (sequential; 12:22) for progressive disease. Disease control rates (DCR: partial response or stable disease) at first-line were higher in all patients treated with everolimus than sunitinib (64/73 vs 12/19, P = 0.012). In PanNENs, DCR at first-line everolimus was 36/42 versus 9/15 with sunitinib (P = 0.062). Progression-free survival (PFS) at first-line everolimus was longer than sunitinib (31 months (95% CI: 23.1–38.9) vs 9 months (95% CI: 0–18.5); log-rank P < 0.0001) in the whole cohort and the subset of PanNENs (log-rank P < 0.0001). Median PFS at second-line MTT was 12 months with everolimus (95% CI: 4.1–19.9) vs 13 months with sunitinib (95% CI: 9.3–16.7; log-rank P = 0.951). Treatment with sunitinib (HR: 3.47; 95% CI: 1.5–8.3; P value: 0.005), KI67 >20% (HR: 6.38; 95% CI: 1.3–31.3; P = 0.022) and prior chemotherapy (HR: 2.71; 95% CI: 1.2–6.3; P = 0.021) were negative predictors for PFS at first line in multivariable and also confirmed at multi-state modelling analyses. Side effect (SE) analysis indicated events of serious toxicities (Grades 3 and 4: n = 13/85 for everolimus and n = 4/41 for sunitinib). Discontinuation rate due to SEs was 20/85 for everolimus versus 4/41 for sunitinib (P = 0.065). No additive toxicity of second-line MTT was confirmed. Based on these findings, and until reliable predictors of response become available, everolimus may be preferable to sunitinib when initiating MTT in progressive NENs.
Thyrotoxicosis with concomitant thyroid cancer
Authors: Fu Hao , Cheng Lin , Jin Yuchen , Chen Libo
Published: April 2019

Thyrotoxicosis with concomitant thyroid cancer is rare and poorly recognized, which may result in delayed diagnosis, inappropriate treatment and even poor prognosis. To provide a comprehensive guidance for clinicians, the etiology, pathogenesis, diagnosis and treatment of this challenging setting were systematically reviewed. According to literatures available, the etiologies of thyrotoxicosis with concomitant thyroid cancer were categorized into Graves’ disease with concurrent differentiated thyroid cancer (DTC) or medullary thyroid cancer, Marine–Lenhart Syndrome with coexisting DTC, Plummer’s disease with concomitant DTC, amiodarone-induced thyrotoxicosis with concomitant DTC, central hyperthyroidism with coexisting DTC, hyperfunctioning metastases of DTC and others. The underlying causal mechanisms linking thyrotoxicosis and thyroid cancer were elucidated. Medical history, biochemical assessments, radioiodine uptake, anatomic and metabolic imaging and ultrasonography-guided fine-needle aspiration combined with pathological examinations were found to be critical for precise diagnosis. Surgery remains a mainstay in both tumor elimination and control of thyrotoxicosis, while anti-thyroid drugs, beta-blockers,131I, glucocorticoids, plasmapheresis, somatostatin analogs, dopamine agonists, radiation therapy, chemotherapy and tyrosine kinase inhibitors should also be appropriately utilized as needed.