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Asian Network for Scientific Information is a leading service provider to the publishers of Science, Technology and Medicine (STM) in Asia. Currently Asian Network for Scientific Information is serving more than 37 peer-reviewed journals covering a wide range of academic disciplines to foster communication among scientists, researchers, students and professionals - enabling them to work more efficiently and intelligently, thereby advancing knowledge and learning.

Asian Journal of Scientific Research
eISSN: 2077-2076
pISSN: 1992-1454

Editor-in-Chief:  Kaiser Jamil
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Review Article
Design of a QoS-based Framework for Service Ranking and Selection in Cloud E-marketplaces
Azubuike Ansalem Ezenwoke
In most existing commercial cloud e-marketplaces, finding a suitable cloud service to perform user's objectives can be cognitively demanding and potentially affects the user satisfaction of both the process and outcome of decision making. Most existing cloud selection techniques have not sufficiently addressed the problem of service choice overload in a manner, that provides means that elicits subjective user preferences. Besides, only a few of these techniques suffice in situations where there are a large number of services to be evaluated and the results are presented in textual formats, either in a list or tables, which does not provide any means of comparison of results returned. Based on a comparative review of existing service selection techniques, a set of requirements was identified to guide the design of cloud service selection framework that would suffice in a cloud e-marketplace context. A cloud service selection framework was formulated that encapsulates the set of requirements. The increase in the number of available services on the e-marketplace leaves the users in the dilemma of which service to select, particularly when the services perform equivalent functionalities and may only differ with respect to their quality of service (QoS) attributes. The proposed framework is a viable proposition for the reduction service choice overload in cloud service e-marketplaces.
Research Article
Changes in Microsatellite Motifs in Response to Abiotic Stresses: a Case Study Using Wheat and Rice RNA-sequencing Data
Arghavan Alisoltani, Behrouz Shiran, Narjes Rahpeyma Sarvestani, Hossein Fallahi, Naser Aliye Feto and Esmaeil Ebrahimie
Background and Objective: Microsatellites or simple sequence repeat (SSR) markers play an important role in plant breeding projects. While a large number of SSRs in plants has been recently identified, only a few SSRs have been randomly validated in the lab. Therefore, to cope with the large numbers of SSRs, it is suggested that a targeted selection scheme may be more efficient in identifying functional biomarkers than the random selection of SSRs. The aim of this study was to develop a new method for identifying functional SSR markers in plant breeding. Methodology: For this study, in silico analyses of available wheat RNA-seq data under heat SSR stress were conducted and unique SSR patterns were obtained. In addition, alterations of SSRs under other stress conditions were confirmed through RNA-seq data of rice subjected to salt, drought and cold. The Audic and Claverie, R of Stekel and Falciani Fisher and General Chi-squared tests were all applied for comparisons of data. Results: The results of the study revealed that GC/GC and GCC/GGC repeats were significantly more common under stress conditions compared with controls for both wheat and rice samples. Interestingly, genes containing these motifs have been found to participate in abiotic stress responses and to include various heat-shock proteins (HSPs) and DREB/CBF (DRE-binding protein/C-repeat binding factor) proteins. Conclusion: The overall findings of this study suggest the possibility of using genes with altered SSRs as functional markers. The applied workflow and the results presented here are expected to help establish a new paradigm for future studies involving genetic diversity, breeding, molecular biology and association studies of plants grown under adverse environmental conditions.
Research Article
Conceptual Relevance Based Document Clustering Using Concept Utility Scale
A. Kousar Nikhath and K. Subrahmanyam
Background and Objective: Volume of documents that is generated, processed, stored and retrieved recently is very high and there is integral need of more robust solutions for document retrieval. In this context, clustering is one of the data-mining models to achieve document tracing and retrieval. Many of the document clustering models evinced in contemporary literature, which depends on individual terms of each document as bag of words and clustering documents based on the term frequency, which is a critical constraint of these models. In this paper, the emphasis of this manuscript is to develop a novel document clustering technique that performs clustering by using concept relations of the given documents to achieve more effective document clustering. Methodology: The proposed model tends to cluster the documents based on their concept relations. In order to this, the proposed model depicted a scale called concept utility scale (CUS), which will in use further to identify the concept scope in order to define the clusters from the given document corpora. The feature optimization and document clustering that performed by using t-score, which is a statistical scale for estimating whether the chosen two vectors are similar or diversified. Hereafter, the depicted model denotes as t-CUS. Proposed solution evaluated by renowned statistical metrics like sensitivity, accuracy, fall-out and specificity. Experiments carried out on datasets comprising specific kind of literature. Results: The experimental study evincing that the proposed model is effective in improving the accuracy of clustering and information retrieval. Conclusion: In addition, the computation complexity is low and linear with the proposed solution t-CUS.
Research Article
Improved Methodology in Risk Analysis with Stochastic Simulation for Termination of Indonesia’s Fuel Subsidy
Adinda Yuanita, Andy Noorsaman Sommeng and Anondho Wijanarko
Background and Objective: The Indonesian fuel oil supply chain system is a complex system influenced by probabilities and uncertainties. This study intends to solve issues in Supply Chain Risk Management (SCRM) in a complex Indonesian fuel system through investigating variables in multivariate data and risk management framework, as well as to develop new market structure potential. Materials and Methods: The study offers a stochastic optimisation simulation based on Monte Carlo sampling and a risk-based compliance audit on the existing system of Supply Chain Risk Management (SCRM) using a state-of-the-art FIRST (Fairness, Independent, Reliable, Sustainable, Transparent) likelihood factor. This is combined with sensitivity analysis, where risk measures are determined pursuant to non-metric data as indicator variables of consequences factors using focus group discussion mechanism multivariate data analysis. Results: The result of this research showed that Monte Carlo simulation-based methods for stochastic optimisation of risk measures, supported by FIRST new variables as likelihood factor, can produce a level of priority that represents new integrated risk mitigation solution. It allows integrated and measured investigation and problem solving of complex system, such as security of a subsidised fuel supply in Indonesia and identification of other potential risks in supply chain risk management for market structure development. Conclusion: This study provides a theoretical and practical contribution to the use of Monte Carlo sampling in simulation optimisation of risk measures by formulating new likelihood factors. Subsequently, risk analysis can be performed because of repeated simulated correlation in optimisation (cross-entropy), which is useful for researchers as well as practitioner.
Research Article
Relationship Between Selected Metabolic Risk Factors and Waist-to-Height Ratio among Employees in Vhembe District Municipality of Limpopo Province, South Africa
Takalani Clearance Muluvhu, Makama Andries Monyeki, Gert Lukas Strydom and Abel Lamina Toriola
Background and Objective: Relationship between metabolic risk factors and waist-to-height (WHtR) in population studies are well known. The aim of the study was to investigate the relationship between selected metabolic risk factors and waist-to-height ratio among employees in Vhembe District Municipality of Limpopo Province, South Africa. Materials and Methods: Using a cross-sectional design, the following anthropometric and metabolic variables were assessed in 535 (Men = 249,Women = 286) local government employees (aged 24-65 years) of the Vhembe district, Limpopo province based on standardized protocols: Body Mass Index (BMI),waist-to-height ratio (WHtR), cholesterol (mmol L–1, TC) and fasting blood glucose (mmol L–1, FG). Data were analyzed using SPSS statistics version 21. Results: Majority (84.6%, males: 85.1%, females: 3.5%) of the participants were ground maintenance workers. The participants (65.2%) were classified as overweight (21.3%) and obese (43.9), females (20.6-60.5%) being more overweight and obese as compared to males (22-25%). Twenty-five percent of the total participants had an elevated level of fasting glucose, females (3.8%) being more affected than males (3.2%). Fasting glucose was positively associated with the BMI, Waist circumference (WC) and WHtR, especially in the grounds maintenance workers. Conclusion: Female employees were more overweight and obese than their male counterparts. Furthermore, fasting glucose was high among the employees, with female being more affected than the males. Municipality managers had high levels of total cholesterol as compared to the ground maintenance workers. It was evident that fatness was positively associated with elevated fasting glucose. From a public health perspective, the current results indicate the need for urgent strategic health promotion intervention among the employees in the Vhembe Local Municipality.
Research Article
Relationship Between Adversity Quotient and Academic Well-being among Malaysian Undergraduates
Ahmad Zamri Khairani and Syed Mohammad Syed Abdullah
Background and Objective: University undergraduates always facing challenges as part of their identity exploration. These challenges, if can not handled properly, may lead to unwanted behaviors. The purpose of this study was to determine the relationship between adversity quotient (AQ), as a protective factor to these challenges and academic well-being among undergraduates in a Malaysian public university. Materials and Methods: A self-report questionnaire was administered to undergraduates from the School of Pharmacy and the School of Medical Sciences (n = 348, 70 males and 278 females) to determine their adversity quotient and academic well-being scores. Independent sample t-test, one-way ANOVA and Pearson correlation were employed to address concerns related to this study. Results: The results show that there were no significant differences in the mean score of adversity quotient between male and female undergraduates. There were also no significant differences in the mean score of academic well-being between male and female undergraduates. However, 1st year undergraduates report significantly lower mean adversity quotient scores when compared to 2nd and 3rd year undergraduates. Similarly, the mean score for academic well-being for 1st year undergraduates was significantly lower when compared to 2nd and 3rd year undergraduates. Primary analysis shows that adversity quotient and academic well-being are positively correlated. Conclusion: Adversity quotient is a key construct in improving the adaptability of undergraduates to face challenges. The construct has a positive and strong relationship with academic well-being. Thus, all stakeholders, especially the lecturers, should foster a positive adversity quotient among undergraduates. However, this is not an easy task because this study also found that both adversity quotient and academic well-being constructs vary among the 1st, 2nd and 3rd year undergraduates.
Research Article
Physicochemical and Mechanical Characteristics of Potato Starch-Based Biodegradable Films
A.V. Orezzoli, E. Zavaleta, N. Pajares-Medina, S. Adolfo, L. Lescano and G. Linares
Background and Objective: Plastics come from non-renewable sources and generate a high amount of non-biodegradable waste. The global demand for the reduction of plastic waste encourages the development of biodegradable films based on polymers and organic compounds. In this study, physicochemical (color, thickness) and mechanical characteristics (tension fracture and elongation percentage) of potato starch-based biodegradable films were determined. Materials and Methods: The films were elaborated with starch extracted from Canchán, Yungay and Peruana potato varieties. Results were statistically analyzed using one way variance of analysis followed by Tukey’s test. Results: All the films had a transparent appearance and the color parameters were similar between the films made of Canchán and Yungay variety starch, differing slightly from those made with Peruana variety starch. All elaborated films showed thickness >1 mm. Conclusion: The best mechanical characteristics were observed in films from the Canchán variety starch, with a tension fracture of 1.43±0.12 MPa and elongation percentage of 36.67±2.80%. These results, in addition to contributing academically, show the potential for the industrial production of biodegradable films from potato starch.
Research Article
Temperature Distribution Simulation and the Analysis of Cyclones Performance on Sago Starch Pneumatic Conveying Recirculated Dryers
Abadi Jading, Nursigit Bintoro, Lilik Sutiarso and Joko Nugroho Wahyu Karyadi
Background and Objective: Recirculating cyclones and cyclones of the material output are some of the vital parts of the drying machine known as Pneumatic Conveying Recirculated Dryer (PCRD) for sago starch drying. This research was intended to undertake simulation of air temperature distributions in dryers and analyze performance of recirculating cyclones and cyclones of the material output. Materials and Methods: The analytical and simulation methods used are Computational Fluid Dynamics (CFD), as well as mathematical and statistical analyses. Computational Fluid Dynamics simulation was using the software Fluid Flow (Fluent) available in the Ansys Workbench package (ver. 15). The variable variations are the air temperature and velocity of dryers and the dimensions of recirculating cyclones. Results: The temperature distributions inside the recirculating cyclones and cyclones of the material output were well distributed with low error values, namely by 2.044 and 4.594%. The mathematical and statistical analyses showed that the means of changes in the moisture content and effectiveness of the recirculating cyclones and cyclones of the material output were equal to 8.93% wb and 89.61%, respectively. Almost all the variables of variation significantly affected the value of the moisture content and the effectiveness, except the temperature variable (Tu3). Conclusion: This study indicates that the simulation results are close to observed values or the real condition of the PCRD machine. Thus the designs of the recirculating cyclones and cyclones of the material output are feasible to be implemented for sago starch drying.
Research Article
Testing Several Correlation Matrices Using Robust Approach
Shamshuritawati Sharif and Tareq Ahmed Mahmoud Atiany
Background and Objective: The performance of classical Jennrich (J) statistic using classical estimators suffers from masking effects. To relieve the problem, robust estimators are recommended. In this study, a robust Jennrich statistic was proposed based on a S estimator (JS) and M estimator (JM) as alternative to the J statistic, which has good properties. Methodology: In the simulation study, the performance of proposed test is assessed in terms of a type I error and the power of test. The performance comparison between classical J, JS and JM statistics are conducted under several conditions. Results: The results of simulation study showed that JS statistic has a competitive performance comparative to a JM statistic and the J statistic. Conclusion: It was concluded that JS statistic is robust for testing the equality of two or more difference correlation matrices when the data contains outlier.
Research Article
Temperature Distribution on a Plant Receiver Adapted from a Commercial Solar Plant in Ait Baha-Morocco
Louiza Rabhi, Ahmed Khmou and Noureddine Boutammachte
Background and Objective: The trapezoidal cavity absorber for linear fresnel reflectors has been frequently studied by researchers. In this study, the temperature distribution was determined using this same absorber to consider the solar conditions of Meknes city (Morocco) during two different chosen days from cold and hot seasons in the city at 12 pm, when the maximum direct normal irradiance (DNI) was reached. The plant considered was adapted from a commercial solar plant in Ait Baha, Morocco. Materials and Methods: Simulation tools were used to carry out this study, indeed, design and simulation of the linear fresnel system for the trapezoidal cavity absorber were done by Tonatiuh. Mathematica 9 program was generated for post processing binary files obtained from Tonatiuh and finally, temperature distribution was simulated in COMSOL Multiphysics 5.2a. Results: The proposed plant reached considerable and satisfying values, especially for the day when the DNI was high, thus a concentrated solar power (CSP) plant in Meknes city will be beneficial. It was found that temperature was low in January in comparison with that in July, but it could increase if considering the receiver during the entire duration of sunshine; Indeed, it could attain a high value of up to 650°C on 15 July at 12 pm and reach a low value of 180°C on 30 January, 2016 at the same fixed time. Conclusion: On the basis of this study, the proposed installation achieves considerable and satisfying values for a fixed time, so a CSP plant in Meknes city will be beneficial. For months when the DNI is minimal, an energy storage study or the use of waste heat from industry is needed to increase the heat at the output of the receiver.
Research Article
Development of a Quality Control and Cloud-screening Algorithm for Sun Photometry Langley Calibration
Chang Hian Wui Jackson, Chee Fuei Pien and Dayou Jedol
Background and Objective: This study presents the development of a quality control and cloud-screening algorithm for sun photometer data to improve the state-of-the-art well-known Langley calibration method. The quality control algorithm accounts for removing obvious cloudy days and selecting the ideal Langley plot within a restricted air mass range to guarantee the reliability and reproducibility results. The cloud-screening algorithm is developed for sun photometer data collected from less ideal observatory sites such as low and mid-altitude sites. The algorithm includes calculating the moving averages of the Perez index under different windows time combined with a procedure for detecting negative derivatives. Materials and Methods: The algorithms were evaluated using sun photometer measurements from Laban Rata, (6.05°N, 116.56°E, 3,270 m a.s.l.), Kinabalu Park (6.0°N, 116.0°E, 1,574 m a.s.l.) and Sepanggar in Kota Kinabalu (6.03°N, 116.12°E, 18 m a.s.l.). A total of 60 Langley plots at four distinct wavelengths, 470, 500, 670 and 870 nm, were collected using an LED-based sun photometer. Results: The analysis of the results indicates that both algorithms provide comparable results despite the varying altitude measurements. On a point-by-point observational basis, the calibration constant of the sun photometer maintains a difference of less than 0.09, depending on wavelength. Conclusion: This study concludes that both algorithms are useful for improving the state-of-the-art well-known Langley calibration method in terms of its reliability and reproducibility.
Research Article
Estimation of the Angstrom Turbidity Parameters in the Ultraviolet Spectrum over Bangi, Malaysia
Ohoud Aljawi, Geri Gopir, W.M.A.Wan Mohd Kamil and Nor Sakinah Mohamad
Background and Objective: It is important to note the significance of atmospheric turbidity in evaluating local area’s air pollution. It also provides vital criteria to control the extinction of solar ultraviolet radiation from reaching the land on cloudless day. This study aims to investigate the dependence of Angstrom’s turbidity parameters in the following wavelengths 300, 320, 340, 360, 380 and 400 nm in the ultraviolet radiation. In addition, an investigation of atmospheric extinction coefficient has been undertaken. Material and Methods: The measurement was done in Bangi, Malaysia at the coordinates of 2°55' N, 101°46' E and the setting was also 50 m above sea level. The experiment was carried out using the Avantes AvaSpec spectrometer (2048×64-USB 2) between January-December, 2014. Furthermore, the Langley plot was used in the calculation of the atmospheric extinction coefficient of the wavelength from the ultraviolet spectrum. On top of that, the linear regression of best fitting method based on log-log plot of atmospheric extinction coefficient vs. wavelength was employed to explore the Angstrom parameters α and β. Results: The analysis of the results shows that, the total atmospheric extinction slightly decreasing when the wavelength increasing. On the other hand, it was observed that β value which is related to turbidity index was relatively high in dry season (April-September) with the value of 10.99-13.70. Meanwhile, the value decreased in rainy season (October-March) with the value up to 5.48. Nevertheless, the value of the Angstrom parameter α was related to the size distribution of extinction particles. Also, the wavelength exponent α varied from 0.79-2.50. It was also noted that the best value α was 1.32, recorded in the first quarter (January-March) of 2014. Conclusion: Angstrom parameters have maximum values found in mid-year. However, the minimum values were recorded in the beginning and end of the year of 2014.
Research Article
Tuff Rock as a New Thermoluminescent Material for Gamma Dosimetry
Aljawharh Almuqrin, Cairo Soliman, Kamel ELShokrof and Dalal Aloraini
Background and Objective: Radiation dosimetry related to nuclear accidents or terrorist events suffers from disadvantages such as the time required for sample preparation and variation in the sensitivity of the samples. The objectives of this study were to investigate the thermoluminescence (TL) properties of natural tuff and to evaluate its use for gamma radiation dose measurements in retrospective dosimetry. Materials and Methods: Tuff is lithified volcanic ash and is produced by explosive volcanic eruptions. A sample was ground into powder and treated with HCl, H2O2, sodium oxalate and alcohol. TL measurements were performed using Harshaw TL equipment. Gamma irradiation was administered with a 60Co source. Results: The as-received sample shows one main TL peak, while radiation and heat treatment induced 3 others. The response to gamma irradiation is linear for small doses and sub-linear for high doses. Batch homogeneity was calculated and found to meet the IEC recommendations. Storage measurements showed that fading stopped after 7 days. Conclusion: Indications are that this material is a potential candidate for dose reconstruction in retrospective, dosimetry and industrial applications under certain restricted conditions.
Research Article
Nerocila bivittata Massive Infestations in Tilapia zillii with Emphasis on Hematological and Histopathological Changes
Mamdouh Yousif Elgendy, Azza Morsi Hassan, Mostafa Fawzy Abdel Zaher, Hossam Hassan Abbas, Waleed Salah El-Din Soliman and Elsayed Mahmoud Bayoumy
Background and Objective: Cymothoid isopods are extremely serious fish parasitic infestations that adversely impact the health of aquatic animals with considerable economic losses. The present study aimed to investigate the massive infestation by the cymothoid isopod, Nerocila bivittata (N. bivittata ) affecting Tilapia zillii (T. zillii ) fish within Lake Qarun Egypt as an attempt to understand the effects of the parasites on the haematological parameters and histopathological alterations in the infested fish. Materials and Methods: A total of 150 T. zillii were collected alive during June, 2016. Fish were thoroughly investigated visually and microscopically for presence of external parasites. Analysis of blood and serum samples from parasitized and un-parasitized fish was carried out. Results: Ninety-six fish (64%) were found to be infected with isopods. All retrieved isopods were further identified as N. bivittata. The isopod was found settled in different parts of fish body but gills were the most predilection site. Parasitized fish had lowered erythrocyte counts, haemoglobin and haematocrit values. Leucocyte counts, total protein, albumen and globulin also decreased in infested fish. Severe histopathological alterations were recorded in the skin, muscles and gills of infested fish. Analysis of water samples collected from the Lake revealed unfavorable values for water quality measures and levels of some heavy metals were higher than the recommended values. Conclusion: The results of this study indicate that N. bivittata are serious parasites in aquaculture and can infect wild fish populations. These parasites feed on the blood of infest fish and put their lives at risk.
Research Article
A Multinomial Logistic Regression Analysis of the Association Between Physical Activity and Body Weight Status of University Women in Riyadh, Saudi Arabia
Olumatoyin Toriola
Background and Objective: Physical inactivity, excessive body weight and obesity are key communal endemic which have raised considerable public health concern in many countries, including Saudi Arabia. This study examines the association between physical activity (PA) level and body weight status among university women in Riyadh, Saudi Arabia. Materials and Methods: A total of 573 university women with the mean age of 21.98±7.51 years volunteered to participate in the study. Anthropometric variables were measured according to the protocol of the International Society for the Advancement of Kinanthropometry (ISAK). A short version of the International physical activity questionnaire (IPAQ) was used to evaluate PA levels among the women. Multinomial regression analysis were performed to examine the association between PA level and body weight status. One-way ANOVA used to analyze the data. Results: The women’s weight categories indicated the following: Underweight (11.7%), normal weight (65.1%), overweight (18.7%) and obese (4.5%). Regression analysis showed that low (OR = 0.893, 95% CI = 0.642, 1.243), moderate (OR = 0.723, 95% CI = 0.477, 1.096) and vigorous (OR = 0.975, 95% CI = 0.711, 1.339) PA were related to less likelihood of being overweight. Furthermore, having low (OR = 0.750, 95% CI = 0.389, 1.444), moderate (OR = 0.913, 95% CI = 0.448, 1.862) and vigorous (OR =0.942, 95% CI = 0.521, 1.704) PA was associated with a less likelihood of being obese. Conclusion: The study established that the lower the PA level, the higher the participants’ risk of body weight faltering. Similarly, the higher the women’s PA level, the lower their tendency to accumulate excessive body fatness.

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