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Emerging Science Journal

ESJ
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Published by Ital Publication

ISSN : 26109182 EISSN : - DOI : -

Core Subject : Social,

Environmental Science

Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are particularly welcome.

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Articles 554 Documents

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Using of Natural Language Processing Techniques in Suicide Research Azam Orooji; Mostafa Langarizadeh
Emerging Science Journal Vol 1, No 2 (2017): August
Publisher : Ital Publication

It is estimated that each year many people, most of whom are teenagers and young adults die by suicide worldwide. Suicide receives special attention with many countries developing national strategies for prevention. Since, more medical information is available in text, Preventing the growing trend of suicide in communities requires analyzing various textual resources, such as patient records, information on the web or questionnaires. For this purpose, this study systematically reviews recent studies related to the use of natural language processing techniques in the area of people’s health who have completed suicide or are at risk. After electronically searching for the PubMed and ScienceDirect databases and studying articles by two reviewers, 21 articles matched the inclusion criteria. This study revealed that, if a suitable data set is available, natural language processing techniques are well suited for various types of suicide related research.

Identification of Causes and Effects of Poor Communication in Construction Industry: A Theoretical Review Yaser Gamil; Ismail Abdul Rahman
Emerging Science Journal Vol 1, No 4 (2017): December
Publisher : Ital Publication

Construction industry is characterized in nature as complex, fragmented, dynamic and involves many parties therefore effective communication is essential to overcome these challenges. Many researchers found that the industry faces major challenge to ensure effective and successful communication throughout the lifecycle of the project which therefore resulted to project failure. Poor communication in construction industry had been addressed in previous research studies; however, this paper presents and examines the identification of causes and effects which lead to poor communication. Further investigations on previous literature were conducted to extract the causes and effects which contributed to poor communication in construction industry. Similarity technique was applied to avoid duplications in the identified causes and effect of poor communication. Using the frequency technique, from the 33 causes of poor communication it was found that the most dominant cause is lack of effective communication. Whereas, out of 21 effects from poor communication, it was found that highly repeated effect is time overrun. These findings will serve a good platform for further investigation on the relevancy of causes and effects to the local construction practitioners.

Ecotoxicological Effects of Imidacloprid and Lambda-Cyhalothrin (Insecticide) on Tadpoles of the African Common Toad, Amietophrynus Regularis (Reuss, 1833) (Amphibia: Bufonidae) Daniel Brice Kenko Nkontcheu; Norbert Ngameni Tchamadeu; Francis Ngealekeleoh; Stella Nchase
Emerging Science Journal Vol 1, No 2 (2017): August
Publisher : Ital Publication

Agriculture is the main activity carried out in Cameroon and pesticide use is believed to be a common rule for its success. Most of the farms are situated close to water bodies, thus constituting a potential risk to non-target aquatic organisms. Declines of amphibian populations have been a worldwide issue of concern for the scientific community during the last several decades. The aim of this study was to assess the effects of an insecticide used by local farmers in Buea on amphibians. Parastar 40WP® which is constituted of imidacloprid + lambda-cyhalothrin a commonly used insecticide was applied on tadpoles of the African common toad Amietophrynus regularis (Reuss, 1833) in a static renewal experiment. The acute toxicity test was carried out after a range finding test from which seven test concentrations were selected. These concentrations were 0.0025mg/l, 0.005mg/l, 0.01mg/l, 0.05mg/l, 0.1mg/l, 0.5mg/l and 0.2mg/l. Signs of toxicity such as hyperactive symptoms, loss of balance, motionlessness and death were recorded. A varying degree of mortality (dose-dependent) was noticed during the test. On the contrary, no such toxicity signs and mortality occurred in the control, indicating that they were caused by the test substance. The 24h LC50 was 3.66mg/l, which is less than the recommended application dose (125mg/l). Products constituted of imidacloprid and lambda-cyhalothrin should therefore be handled with care and far from water bodies because of their potential to cause harm to non-target aquatic biota.

Comparison and Evaluation of the Performance of Various Types of Neural Networks for Planning Issues Related to Optimal Management of Charging and Discharging Electric Cars in Intelligent Power Grids Arash Moradzadeh; Kamran Khaffafi
Emerging Science Journal Vol 1, No 4 (2017): December
Publisher : Ital Publication

The use of electric vehicles in addition to reducing environmental concerns can play a significant role in reducing the peak and filling the characteristic valleys of the daily network load. In other words, in the context of smart grids, it is possible to improve the battery of electric vehicles by scheduling charging and discharging processes. In this research, the issue of controlling the charge and discharge of electric vehicles was evaluated using a variety of neural models, until the by examining the effect of the growth rate of the penetration level of electric vehicles of the hybrid type that can be connected to the distribution network, the results of the charge management and discharge model of the proposed response are examined. The results indicate that due to increased penetration of these cars is increased the amount of responses to charge and discharge management. In this research, a variety of neural network methods, a) neural network method using Multilayer Perceptron Training (MLP), b) neural network method using Jordan Education (RNN), c) neural network method using training (RBF ) Was evaluated based on parameters such as reduction of training error, reduction of network testing error, duration of run and number of replications for each one. The final results indicate that electric vehicles can be used as scattered power plants, and can be useful for regulating the frequency and regulation of network voltages and the supply of peak traffic. This also reduces peak charges and incidental costs, which ultimately helps to further network stability. Finally, the charge and discharge management response reflects the fact that intelligent network-based models have the ability to manage the charge and discharge of electric vehicles, and among the models the amount of error reduction training and testing is very favourable for both RNN, MLP.

Critical Analysis of the New Basel Minimum Capital Requirements for Market Risk Joerg Orgeldinger
Emerging Science Journal Vol 1, No 1 (2017): June
Publisher : Ital Publication

In its October 2013’s consultative paper for a revised market risk framework (FRTB), and subsequent versions published thereafter, the Basel Committee suggests new ways of dealing with market risk in banks’ trading and banking books. The Basel Committee estimates that the new rules will result in an approximate median capital increase of 22% and a weighted average capital increase of 40% [1], compared with the current framework. Key changes can be found in the internal model approach, in the standard rules and in the scope/approval process. Among the significant changes that are being introduced by the FRTB is a stricter separation of the trading book and banking book. Regardless of whether they use standardised or internal models, banks will need to review their portfolios to determine if existing classifications of instruments and desks as trading book or banking book are still applicable or whether a revision of desk structure is needed. In this article, we analyse the theoretical foundations of the internal model approach (IMA), which are the stressed expected shortfall, liquidity adjustments, default & migration risk and non-modellable risk factors. We thoroughly investigate the criticisms for Internal Risk Model (IMA) and the introduction of a standardised floor, the sensitivity based approach (SBA) with Delta, Vega and Curvature, shock scenarios and the aggregation with asymmetric correlation and reflection of basis/default risk.

Investigation into Low SAR PIFA Antenna and Design a Very Low SAR U-slot Antenna using Frequency Selective Surface for cell-phones and Wearable Applications Kourosh Javadi; Nader Komjani
Emerging Science Journal Vol 1, No 3 (2017): October
Publisher : Ital Publication

There are very important questions. “Do Electromagnetic waves have irreparable effects on human or not?” “Are there any relation between cancer and waves?” and finally “what should we do to be safe?”. In the present article, these questions will be answered simply and professionally. First of all, Specific Absorption rate (SAR) is define then L-Slot and U-slot antenna is designed and simulated using cell-phones and wearable applications, operating at and consist of GSM900 and GSM1800. Standard frequency band width for the first and second band is and for uplink and downlink and in the present research these numbers are obtained. The SAR of each antenna is measured and is compared with each other. Thanks to design of antenna, The SAR of U-Slot antenna is very low and it is almost stimulated and this sentence means this antenna is anti-cancer. Finally, Some SRR unit-cells are designed and when they are used in structure, SAR will be more decrease. Last SAR value is and for each bands .In the last table, There are some comparison between different creditable references and present article SAR reduction is acceptable and it is near to percentage.

Identification of Autism Disorder Spectrum Based on Facial Expressions Mahsa Naeeni Davarani; Touraj Bnirostam; Hayedeh Saberi
Emerging Science Journal Vol 1, No 2 (2017): August
Publisher : Ital Publication

The study of emotions has always been a matter for philosophers and psychologists. The purpose of this research is to identify and categorize children with autism disorder using diagnosis of the faces emotion in eight states (neutral, anger, ridicule, hate, fear, happiness, sadness and wonder). The method of this research is descriptive-analytic. To collect samples from 80 children with autism disorder, we take images in each of the 8 cases. MATLAB software has been used to analyse photos accurately. The results show that children who are in first group according to DSM-5, they have at least six mode of the listed eight modes. Children who are in the second category of DSM-5, they experience between three to five feelings. It is also observed that children who are in the third category according to DSM-5, can experience only one to two feelings.

Neuro-Simulation Tool for Enhanced Oil Recovery Screening and Reservoir Performance Prediction Soheil Bahrekazemi; Mahnaz Hekmatzadeh
Emerging Science Journal Vol 1, No 2 (2017): August
Publisher : Ital Publication

Assessment of the suitable enhanced oil recovery method in an oilfield is one of the decisions which are made prior to the natural drive production mechanism. In some cases, having in-depth knowledge about reservoir’s rock, fluid properties, and equipment is needed as well as economic evaluation. Both putting such data into simulation and its related consequent processes are generally very time consuming and costly. In order to reduce study cases, an appropriate tool is required for primary screening prior to any operations being performed, to which leads reduction of time in design of ether pilot section or production under field condition. In this research, two different and useful screening tools are presented through a graphical user interface. The output of just over 900 simulations and verified screening criteria tables were employed to design the mentioned tools. Moreover, by means of gathered data and development of artificial neural networks, two dissimilar screening tools for proper assessment of suitable enhanced oil recovery method were finally introduced. The first tool is about the screening of enhanced oil recovery process based on published tables/charts and the second one which is Neuro-Simulation tool, concerns economical evaluation of miscible and immiscible injection of carbon dioxide, nitrogen and natural gas into the reservoir. Both of designed tools are provided in the form of a graphical user interface by which the user, can perceive suitable method through plot of oil recovery graph during 20 years of production, costs of gas injection per produced barrel, cumulative oil production, and finally, design the most efficient scenario.

The Effect of Transformational Leadership on Employees' Attitude by Considering the Mediating Role of Psychological Empowerment (Case Study: Municipality of Karaj, Region 1) Mahsa Panahbehagh; Mehrdad Hosseini Shakib
Emerging Science Journal Vol 1, No 4 (2017): December
Publisher : Ital Publication

This research was conducted to investigate the relation between transformational leadership and staff's attitudes with consideration of the mediating role in psychological empowerment. The purpose was applied type and the method used in this research was descriptive-survey. To collect the relevant data in this study, Sung's staff attitude standard questionnaire (2006), Bass & Alluvium's Transformational Leadership Questionnaire (2000) and Spreitzer's Psychological Capital Questionnaire (1998) were used. The reliability of each questionnaire was 0.786.0.802 and 0.799, respectively. The population studied was the staff and managers of the municipality in Region 1, Karaj with 280 persons. Regarding to their limited number, 162 individuals were selected randomly to determine the sample size using the Morgan table and the questionnaire was distributed among these individuals. To collect the information and data required to evaluate the research's hypotheses, a questionnaire and statistical analysis software as SPSS and LISREL were evaluated. At the inferential level, inferential techniques such as Kolmogorov-Smirnov's normal test, Pearson correlation test, and structural equation modeling were used to test the hypotheses. Based on the results, the studied hypotheses were accepted.

Simulation and Development of Instrumental Setup to Be Used for Cement Grouting of Sand Soil Yaser Gamil; Ismail Bakar; Kemas Ahmed
Emerging Science Journal Vol 1, No 1 (2017): June
Publisher : Ital Publication

Most of Arab countries areas are occupied with deserts that is covered with sandy soil. Thus, it is necessary to make use of this huge volume of sand to be as construction materials. It is proven that, sand is initially uneven and unstable. It requires pre-modifications of its primer properties in order to be used as construction materials. One of the common techniques is injecting the sand with binders. Many grouting techniques has been implanted to modify or rehabilitate the structure of soil but for sandy soil the methods has not yet been introduced Therefore, this study aimed at developing simulation and instrumental setup to be used for cement grouting. The simulation has been custom made and utilized to form grouted samples for further investigation. The method of injecting sand is by applying pressure to produce force flow in order to be injected into the sand. After the formation of injected sand samples, an experimental investigation was carried out to determine the basic properties. Shear strength of the sand was recorded before and after grouting. It was found that, the shear strength has increased after injecting the sand with cement and the setup has produced accurate grouted samples with even distribution of the cement mix. The results of the various investigations conclusively proved that grouting can be used as an effective way to improve the strength characteristics significantly and can also contribute to the stabilization of sand.

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