International Journals of Multidisciplinary Research
Academy (IJMRA)

Abstract:
In this paper we have studied the static spherically symmetric metric 2 2 2 2 2 2 2 2 ds g r dt dr R r d d     ( ) ( )( sin )    with energy momentum tensor j Ti for the bulk viscous fluid distribution and we have adopted the procedure of Khadekar and Kondawar (2006) for bulk viscous fluid and obtained the results on the line of Khadekar and Kondawar (2006) which represents the Schwarzschild interior solution.
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Abstract:
Breast cancer is one of the severe disease among women worldwide. In this paper Machine Learning algorithm is used to predict the severity of breast cancer. Clinical Dataset is utilized for analysis using Machine Learning algorithm called Support Vector Machine. In this area cancer growth also reviewed stage by stage and suitable diagnosis can be suggested to prevent them from its severity. As an extension to the previous researches related to the discovery of breast cancer, we proposed a model to help in resolving the difficulty of determining the degree of risk for the disease and to get best practices, abatement time and expense with the objective of advancing wellbeing, based on data collected from hospitals. The model is applying classification techniques such as Support vector machine on the collected breast cancer data, which in turn predicts the severity of breast cancer. After evaluation and testing using the mentioned classification techniques on the breast cancer dataset, we obtained an accuracy of 94%, which is an accepted rate of prediction for the severity of breast cancer. This paper will discuss about the accuracy of the algorithm and prediction using dataset.
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Abstract:
Batu Bubus is a place in Bias Putih Beach, Bugbug Village, Karangasem District, Bali, located at latitude 8,5010021 S and longitude 115,6107472 E. As visible, this place as seen as a pile of stones. Before the development of the tourist destination of Taman Harmoni Bali Bukit Asah, Batu Bubus has become a mini temple. But due to the development of tourist destinations, this place is often used as a place to take pictures. It's really exotic at all. But behind the exotic, do the visitors know that place is a sacred place according Hinduism? The following question is why is the place sacred? The answer of this question will be sought based on geoelectric data. The research has been conducted from April 2018 to August 2018 using geoelectric methods. By making several tracks around Batu Bubus. The results showed that in the research area found aquifer flow at 10-23 m depth. The upstream part of the aquifer is still fused, in the middle is branching. One of the smaller branches leads to the west, appearing as a small spring. This place is often used as a melukat. Another one, which is larger towards the bottom of the Batu Bubus, the springhead isn't visible, be expected be spring into the sea near the beachso it is a meeting between sea water and fresh water (campuhan). So Batu Bubus is sacred as mini temple because it is a meeting between sea water and fresh water (campuhan).
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Abstract:
This study which set out to determine the relative contribution of mathematics to students’ performances in science subjects in English-speaking secondary schools was carried out in Mezam Division of the North West Region of Cameroon. It employed the Survey and the Correlational research designs. 357 Form five students from 14 secondary schools, drawn from a targeted population of 1147 students from 34 public secondary schools constituted the sample of the study. The sample was arrived at through stratified disproportionate random sampling technique. Performance was measured using students’ 2017 General Certificate of Education (GCE) mock scores in mathematics, physics and chemistry at the Ordinary Level (O/L). Data was analyzed using the linear regression analysis. The findings suggest that there is a high positive correlation (R = 0.601) between mathematics and physics and a low positive correlation (R = 0.364) exists between mathematics and chemistry. The t-test further revealed that both relationships were significant. Thus the coefficient of determination (r2 ) between mathematics and physics is 0.361, while that between mathematics and chemistry is 0.133. Thus 13.3% and 36.1% of the variations in students’ performances in O/L chemistry and physics respectively, can be accounted for by their performances in mathematics.
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Abstract:
The study evaluated the roles of Internal Controls in preventing and detecting fraud; in essence, the study assess the impact of internal control system as a means to maximize and prevent the occurrence of fraudulent practices in any form in the banking sectors. The researchers used two sources of data collection, the primary source which enable researchers to get first class information and the secondary method of data collection. In this research work, questionnaires were administered for collecting data using random sampling techniques. Results of this study shown that the major causes of fraud and actors that contributed to the incidence of fraud and forgery in commercial banks is job insecurity, and also revealed that overriding of control system in the banks by top management has also significantly contributed to the collapses of some banks in the past couple with poor or weak management control, monitoring and lack of supervision of internal control system and procedures which also caused fraud to be perpetrated. It has been established in this study that internal control system is paramount in ensuring effective operation of banks, and it has impact on prevention and detection of fraud and enhances the overall profitability of banks. From the study, it was cleared that Guaranty Trust Bank Plc, there control procedures and monitoring activities have shown conformity with good internal control system and staff job being highly secured.
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Abstract:
: Accounting system represents as the language of business because cost, price, sales volume, profits and return on investment are all accounting measurements and the purpose of accounting is to provide information that is useful for decision-making. This paper aimed to explain and clarify the important of using accounting information in decision making process, to meet the requested administrative needs to rationalize the administrative decision of the company. The researcher in the field of data are dependent on the primary sources and secondary sources, to achieve the goals of the study and in answering its questions. Through this approach, they obtained the data, which formed the theoretical frame for the study. Meanwhile, the practical frame depends on an interview
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Abstract:
Augmented reality is an interactive experience overlaying virtual objects on a certifiable picture in this manner augmenting this present reality picture in real time which we as of now observe. AR could be extremely helpful in different areas like Manufacturing, Education, Healthcare, Marketing, Fashion, Travel, Navigation. Today, one of the main challenges in designing mobile augmented reality applications is to understand how our perception of reality can be increased in a cost-effective way and how this increase can be made to fit perfectly with the interaction of users
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Abstract:
Stock Market volatility has been extensively studied in finance literature. In this paper, we estimate Moroccan Stock Market return volatility by using Single-State GARCH models and Markov Regime Switching GARCH models. We proposed Back Propagation Neural Network algorithms to improve volatility forecasting of GARCH class models. The BPNN is combined with GARCH in such a way prediction of GARCH models is used as input of our Neural Network. Three volatility estimators are used for this purpose: Absolute return, Parkinson and Garman Klass. The forecasting accuracy of the models is examined using Mean Square Errors (MSE). The results indicate the efficiency of the neural network in enhancing the performance of GARCH models. The findings further clarify the superiority of the marriage of MRS-GARCH and EGARCH with neural network over considered models.
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Abstract:
Clustering is one of the most universal unsupervised classification methods for partitioning objects into a set of meaningful clusters. The k-means clustering algorithm is a commonly used partitioning based clustering method for finding optimal number of clusters. However, number of clusters generated by k-means algorithm depends on the choice of centroid value which sometimes could be misled. Therefore, a new approach for identifying the optimal number of clusters based on distance in k-means algorithm is proposed. The designed algorithm was tested using twelve sets of simulated data has revealed that the proposed algorithm is able to identify the exact number of clusters.
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Abstract:
Image stitching or photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a segmented panorama or high-resolution image. Commonly performed through the use of computer software, most approaches to image stitching require nearly exact overlaps between images and identical exposures to produce seamless results, although some stitching algorithms actually benefit from differently exposed images by doing high-dynamic-range-imaging in regions of overlap. Some digital cameras can stitch their photos internally. nce the illumination in two views cannot be guaranteed to be the same, stitching two images could create a visible seam. Other reasons for the seam appearing could be the background changing between two images for the same continuous foreground. In general, the major issues to deal with are presence of parallax, lens distortion, scene motion, and exposure differences. For panoramic stitching, the ideal set of images will have a reasonable amount of overlap (at least 15–30%) to overcome lens distortion and have enough detectable features. The set of images will have consistent exposure between frames to minimize the probability of seams occurring. In the non-ideal real-life case, the intensity varies across the whole scene and so does the contrast and intensity across the frames. Lens distortion, motion in the scene, and misalignment all cause ghosting. Also, the ratio of width to height of a panorama image needs to be taken into account to create a visually pleasing composite
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Abstract:
Supramolecular molecular is a big ply of interdisciplinary field of science covering physics and biology along with chemistry. It plays a major role in progressive elaboration of a science of informed, organized, evaluative matter. It has vast application in various fields like material technology, catalytic medicine, data storage and processing, and many more. Supramolecular chemistry refers to area of the chemistry beyond the molecule or chemistry of non-covalent bond. In traditional chemistry, we use to see that atoms bind with atoms with covalent bond, but in Supramolecular chemistry molecules bind with molecules with non-covalent bond interactions. Non-covalent interactions may be electrostatic, hydrogen bonding, pi-pi stacking interactions, Van der Waals forces, hydrophobic or cation-pi interaction.
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Abstract:
Obesity is a complex disorder involving an excessive amount of body fat. It increases the risk of other diseases and health problems such as heart diseases, diabetes and high blood pressure. Obesity is diagnosed when our BMI is 30kg/m2 or higher. Traditional medicines, mainly herbal in nature are now a day used for treating many diseases than allopathic drug. The allopathic drug more side effect than herbal drug. The aim of this present work is to formulate and evaluate the herbal tablet of Garciniacambogiaand Commiphoramukul. The formulation was prepared by wet granulation method. The prepared formulation was evaluated for pre-compression parameter and post- compression parameter. The formulation showed acceptable pre-compression and post-compression parameter is in limit. The result of assay of Garciniacambogia (HCA) content was 49.78 % and 49.69%, before and after stability study by IEC (Ion Exchange Chromatography). The Commiphoramukul (guggulsterones) content was 12.38% and 12.26%, before and after stability study by UV Spectrophotometer. From the result it was concluded that the formulation was relatively stable.
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Abstract:
Calculus functions in real world are employed to study of rates of change. Before the development of calculus of functions, this couldn’t be possible to calculate or study or calculate the objects in motion. However calculus was employed to study and calculate the static objects only and that too should be perfectly static also. Nothing in this universe is perfectly static so calculus of functions has played an unbelievable role in the real world with respect to mathematics, physics or statistics. Let us take an example of objects like a star up to smallest particles of matter doesn’t remain in static position. Thus by analyzing the precedent discussion it is good to say that nothing in the universe exists in complete static position. The underlying concept of calculus functions are used to determine how particles or objects from visible range to invisible range like stars, protons, electrons etc move and change with the passage of time
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