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Natural Bitumen in Hot Asphalt Mixture: Suitability of Using Treated Natural Bitumen Instead of Petroleum Asphalt Binder
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In recent years, the search for economic and environmentally friendly alternatives has become a global necessity to achieve sustainability and preserve raw materials. From this concept, natural bitumen (NB) derived from sulphur springs is now one of the most promising alternative energy resources for many applications, especially in asphalt pavement construction. Its low price and abundance characterise NB since sulphur springs produce thousands of tonnes of NB annually and are used in very limited fields. Two main objectives were adopted for this work. The first objective is to examine the virgin NB properties from five sulphur springs and compare them with petroleum asphalt. The second objective is to enhance NB properties by applying heat treatment. The experimental results reveal that heat treatment is highly effective in improving the NB properties. This was confirmed by conducting many tests, such as asphalt, Marshall, SEM-EDX, and indirect tensile strength tests. Based on the experimental test outcomes, virgin NB properties do not conform to asphalt specification limits and are unsuitable for flexible roads. Also, MS-NB significantly affected the mechanical properties of the asphalt mixture, as Marshall's stability increased by 41.3% compared to the conventional mixture. In addition, SS-NB was more effective in moisture damage resistance due to increasing the tensile strength ratio by 5.72 % and provided a higher stiffness index than the conventional mixture by 40.36%. In conclusion, the treated NB can successfully be used as a binder material in hot asphalt mixtures. ABSTRAK: Beberapa tahun kebelakangan, pencarian alternatif baharu ekonomi dan mesra alam telah menjadi satu keperluan global bagi mencapai kemampanan dan memelihara bahan mentah. Melalui konsep ini, bitumen asli (NB) yang diperoleh daripada mata air sulfur kini merupakan satu sumber tenaga alternatif yang berguna bagi digunakan dalam pelbagai aplikasi, terutamanya dalam pembinaan turapan asfalt. NB dicirikan oleh harga yang rendah dan kelimpahannya kerana mata air sulfur menghasilkan beribu-ribu tan NB setiap tahun dan digunakan dalam bidang terhad. Dua objektif utama telah dipakai untuk kajian ini. Objektif pertama adalah memeriksa sifat NB dara daripada lima mata air sulfur dan membandingkannya dengan asfalt petroleum. Objektif kedua adalah meningkatkan sifat NB dengan menggunakan rawatan haba. Dapatan eksperimen mendedahkan bahawa rawatan haba sangat berkesan dalam meningkatkan sifat NB. Ini disahkan dengan menjalankan pelbagai ujian, seperti ujian asfalt, ujian Marshall, ujian SEM-EDX, dan ujian kekuatan tegangan tidak langsung. Berdasarkan dapatan eksperimen, sifat NB dara tidak mematuhi had spesifikasi asfalt dan tidak sesuai untuk jalan fleksibel.  Selain itu, MS-NB mempunyai kesan ketara pada sifat mekanikal campuran asfalt kerana kestabilan Marshalls meningkat sebanyak 41.3% berbanding campuran konvensional. Tambahan, SS-NB lebih berkesan dalam rintangan kerosakan lembapan kerana meningkatkan nisbah kekuatan tegangan sebanyak 5.72 % dan memberikan indeks kekukuhan yang lebih tinggi daripada campuran konvensional sebanyak 40.36%. Kesimpulannya, NB yang dirawat boleh berjaya digunakan sebagai bahan pengikat dalam campuran asfalt panas.

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Publication Date
Fri Nov 01 2013
Journal Name
Journal Of Cosmetics, Dermatological Sciences And Applications
Treatment of active acne vulgaris by chemical peeling using TCA 35%
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KE Sharquie, AA Noaimi, EA Al-Janabi…, Journal of Cosmetics, Dermatological Sciences and Applications, 2013 - Cited by 13

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Publication Date
Wed Jan 01 2020
Journal Name
Periodicals Of Engineering And Natural Sciences
Solving multicollinearity problem of gross domestic product using ridge regression method
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This study is dedicated to solving multicollinearity problem for the general linear model by using Ridge regression method. The basic formulation of this method and suggested forms for Ridge parameter is applied to the Gross Domestic Product data in Iraq. This data has normal distribution. The best linear regression model is obtained after solving multicollinearity problem with the suggesting of 10 k value.

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Publication Date
Wed Mar 10 2021
Journal Name
Baghdad Science Journal
isolation and identification of cloves oil from eugenia caryophyllaa using Ultrasonic
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This research has been prepared to isolate and diagnose one of the most important vegetable oils from the plant medical clove is the famous with Alaeugenol oil and used in many pharmaceuticals were the isolation process using a technique ultrasonic extraction and distillation technology simple

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Publication Date
Sun Jan 01 2012
Journal Name
International Journal Of Astronomy And Astrophysics
Study the Radial Expansion of SN 1987A Using Counting Pixels Method
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Publication Date
Thu Dec 13 2018
Journal Name
International Journal Of Engineering & Technology
Microwave Pyrolysis of Water hyacinth for Biochar Production Using Taguchi Method
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The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work.  The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical references); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first perso The fast microwave assisted pyrolysis (FMWAP) of water hyacinth (WH) for biochar production is investigated. Taguchi’s method was used to optimize FMWAP parameters. The effects of microwave

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Publication Date
Mon Jul 31 2017
Journal Name
Journal Of Engineering
Assessment of Water Clarity within Dokan Lake Using Remote Sensing Techniques
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Publication Date
Thu Jan 16 2020
Journal Name
Periodicals Of Engineering And Natural Sciences
Comparison of some reliability estimation methods for Laplace distribution using simulations
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In this paper, we derived an estimator of reliability function for Laplace distribution with two parameters using Bayes method with square error loss function, Jeffery’s formula and conditional probability random variable of observation. The main objective of this study is to find the efficiency of the derived Bayesian estimator compared to the maximum likelihood of this function and moment method using simulation technique by Monte Carlo method under different Laplace distribution parameters and sample sizes. The consequences have shown that Bayes estimator has been more efficient than the maximum likelihood estimator and moment estimator in all samples sizes

Publication Date
Sun Oct 21 2018
Journal Name
Iraqi Journal Of Physics
A simple voice communication using the modulation of the reflected light
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There is no adopt in the importance of the optical communications in scientific civil and military applications because of it’s simplicity in manufacturing and it's low cost. The method of optical communication depends upon bearing the light beam the translated informations by a method called the light modulation. This method depends upon changing some light properties as frequency, amplitude and pulse duration according to the translating informations. The changes in the first two properties are concerned optically with the analog modulation while the third one concern at most with digital modulation. All past methods are expensive with low efficiency and needs electrical or magnetic fields. In this technique the source of voice used

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Publication Date
Wed Mar 10 2021
Journal Name
Baghdad Science Journal
Heun Method Using to Solve System of NonLinear Functional Differential Equations
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In this paper Heun method has been used to find numerical solution for first order nonlinear functional differential equation. Moreover, this method has been modified in order to treat system of nonlinear functional differential equations .two numerical examples are given for conciliated the results of this method.

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Publication Date
Tue Feb 01 2022
Journal Name
Methods And Objects Of Chemical Analysis
Spectrophotometric Analysis of Quaternary Drug Mixtures using Artificial Neural network model
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Novel artificial neural network (ANN) model was constructed for calibration of a multivariate model for simultaneously quantitative analysis of the quaternary mixture composed of carbamazepine, carvedilol, diazepam, and furosemide. An eighty-four mixing formula where prepared and analyzed spectrophotometrically. Each analyte was formulated in six samples at different concentrations thus twentyfour samples for the four analytes were tested. A neural network of 10 hidden neurons was capable to fit data 100%. The suggested model can be applied for the quantitative chemical analysis for the proposed quaternary mixture.

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