Fad Diet vs. Balanced Diet in Adults Living in Islamabad

Raja; Asra; Irsa

doi:https://doi.org/10.54216/IJNS.060206

American Journal of Business and Operations Research |

An innovative additive mathematical model using auxiliary information

This article proposes innovative ratio and regression estimators based on additive randomized response model. Expressions for the biases and mean squared errors of the recommended estimators are derived. It has been revealed that the advised groundbreaking ratio and regression estimators are improved than ratio and regression estimators under a very realistic condition. Numerical illustrations and simulation study are also given in support of the present study.

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American Journal of Business and Operations Research |

An innovative additive mathematical model using auxiliary information

This article proposes innovative ratio and regression estimators based on additive randomized response model. Expressions for the biases and mean squared errors of the recommended estimators are derived. It has been revealed that the advised groundbreaking ratio and regression estimators are improved than ratio and regression estimators under a very realistic condition. Numerical illustrations and simulation study are also given in support of the present study.

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International Journal of Neutrosophic Science | 2022

Single Valued Neutrosophic Dynamic Vertex Coloring of Some Cartesian Product and Join of SVNG′s

The concept of neutrosophic sets makes it easier to analyse values that are ambiguous or indeterminate. We illustrate the concept of single-valued neutrosophic R-dynamic vertex coloring in this study. In addition, the single valued neutrosophic dynamic vertex coloring of the Cartesian product of path with cycle, cycle with cycle, complete SVNG with complete SVNG and cycle has been determined. Also, we have discussed the single valued neutrosophic dynamic vertex coloring of join of complete SVNG with complete SVNG and cycle, cycle with cycle.

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Aparna V. mail -

Mohanapriya N. mail -

broumi said mail

link https://doi.org/13.54216/IJNS.180110

Volume & Issue

Vol. Volume 18 / Iss. Issue 1

Details open_in_new

American Journal of Business and Operations Research |

An innovative additive mathematical model using auxiliary information

This article proposes innovative ratio and regression estimators based on additive randomized response model. Expressions for the biases and mean squared errors of the recommended estimators are derived. It has been revealed that the advised groundbreaking ratio and regression estimators are improved than ratio and regression estimators under a very realistic condition. Numerical illustrations and simulation study are also given in support of the present study.

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American Journal of Business and Operations Research | 2022

Factors Influencing Educational Achievements of the Students: A case study of University of Peshawar, Pakistan

The main goal of the paper is to determine the factors affecting the student’s academic achievements at the University of Peshawar. This study would help the students and teachers to identify the factors that improve the academic achievements of the students. A descriptive type of questionnaire was designed to gathered information from 264 students studying in various departments at the University of Peshawar, Pakistan. The study focuses on different factors including socio-economic factors, teacher’s effectiveness and methodology of their teaching, social media, and the use of mobile phones, and parental factors.  Chi-square statistics were used to study the impact of factors affecting the student academic achievements. The analysis concluded that except for the gender under socio-economic factors, teacher experience under teacher effectiveness factors, parent relationship with the student and their family income under parental factors, and the use of social media and mobile phones all the factors have an impact on the student academic achievements.

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Muhammad Ijaz mail -

Rida Batool mail -

Syed Muhammad Asim mail

link https://doi.org/10.54216/AJBOR.060104

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

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American Journal of Business and Operations Research | 2022

Expected Value of Asymmetric Coordinated Search Technique for Detecting a Randomly Located Target on the Plane

This paper proposes Asymmetric coordination strategy, we study coordinated search technique for a lost located object on the plan, where there are two searchers beginning their search from the same initial point (0, 0), but both sides do not have the same area. Here we introduce a model of search plan and investigate the expected value of detecting the lost target in both sides to avoid wasting time. We present an algorithm to facilitate the search technique. An illustrative application from real life has been introduced to demonstrate the applicability of this search technique. The effectiveness of this model has been illustrated by numerical results

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Sundus Naji AL-Aziz mail

link https://doi.org/10.54216/AJBOR.060105

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

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American Journal of Business and Operations Research | 2022

Neutrosophic Multicriteria Methods for the Selection of Sustainable Alternative Materials in Concrete Design

Increased awareness of the environmental impacts associated with excessive carbon dioxide emissions generated from cement production has led to great strides in developing technologies and materials aimed at reducing such impacts. A large amount of work has been carried out worldwide related to the design of more sustainable concrete mixes that take advantage of natural elements or those recovered from waste. This work analyzes a set of alternatives for substitutes of concrete mix aggregates that guarantee the best levels of resistance to compression and also comply with the principles of environmental sustainability. To do this, the TOPSIS multi-criteria decision method is used to determine the preferred substitute alternative for aggregates based on certain criteria. The analysis carried out using the TOPSIS method revealed that the alternative with the highest level of proximity to the ideal solution was the use of recycled glass as an additive to the concrete mix. It was observed that the specialists considered the environmental impact and the resistance and durability of the resulting concrete as the most important criteria to assess. A qualitative comparison of the alternatives resulting from the analysis was carried out to verify the results achieved by the method used.

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Jesus Estupiñan Rcardo mail -

Maikel Leyva Vázquez mail

link https://doi.org/10.54216/AJBOR.060203

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

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American Journal of Business and Operations Research | 2022

Stock Closing Price Prediction of ISX-listed Industrial Companies Using Artificial Neural Networks

Making stock investment decisions is a complex challenge that investors continuously face. When it comes to an uncertain future, making the wrong decision can result in massive losses. The paper aims to develop an artificial neural networks-based model predicting the closing price of top-six traded industrial ISX-listed stocks, which can guide investment decisions. The sample consisted of daily indexes ISX-released from (3/3/2019) to (31/3/2019). Matlab 2014b was used to run artificial neural networks using the nntool software. The model's performance was evaluated using Mean squared error (MSE), Root means squared error (RMSE), and R squared. Empirical results demonstrated the ability and efficiency of artificial neural networks to predict closing prices with high accuracy. As a result, we recommended employing the Artificial Neural Networks model to predict stock prices as well as relying on it to make decisions.

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Salim Sallal Al-Hasnawi mail -

Laith Haleem Al-Hchemi mail

link https://doi.org/10.54216/AJBOR.060205

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

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Journal of Cybersecurity and Information Management | 2022

Brain Storm Optimization with Long Short Term Memory Enabled Phishing Webpage Classification for Cybersecurity

Phishing is a familiar kind of cyberattack in the present digital world. Phishing detection with maximum performance accuracy and minimum computational complexity is continuously a topic of much interest. A novel technology was established for improving the phishing detection rate and decreasing computational constraints recently. But, one solution has inadequate for addressing every problem due to attackers from cyberspace. Thus, the initial objective of this work is for analysing the performance of different deep learning (DL) techniques from detection phishing activity. This study introduces a novel Brain Storm Optimization with Long Short Term Memory Enabled Phishing Webpage Classification (BSOLSTM-PWC) for Cybersecurity. The proposed BSOLSTM-PWC technique enables to accomplish cybersecurity by the identification and classification of phishing webpages. To accomplish this, the BSOLSTM-PWC technique initially employs data pre-processing technique to transform the data into actual format. Besides, the BSOLSTM-PWC technique employs LSTM classifier for the identification and categorization of phishing webpages. Moreover, the BSO algorithm is utilized to appropriately adjust the hyperparameters involved in the LSTM model. For reporting the improved outcomes of the BSOLSTM-PWC method, a wide-ranging simulation analysis is made using benchmark dataset. The experimental outcomes reported the enhanced outcomes of the BSOLSTM-PWC method on existing methods.

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Mahmoud A. Zaher mail -

Nabil M. Eldakhly mail

link https://doi.org/10.54216/JCIM.090202

Volume & Issue

Vol. Volume 9 / Iss. Issue 2

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American Journal of Business and Operations Research | 2022

Fad Diet vs. Balanced Diet in Adults Living in Islamabad

Adults have a variety of experiences with social pressure to have low weight. Thus, there is a desire to lose weight with a variety of efforts, such as fad diets. This type of diet can lead to insufficient intake of nutrients in the body and increase the risk of health problems in the long run. The research aimed to analyze fad diets, BMI, and activity levels of adults in Islamabad. The research design was cross-sectional in 50 adults aged 19–58 years who were selected by simple random sampling. The data of fad diets used in the questionnaire, BMI data using the calculation of the last body weight and height, and activity level were measured using food frequency questionnaire. Data analysis used the chi-square test. The results of this research showed that most respondents implement fad diets (56%), had normal BMI (60%), had fairly activity levels (32%), while overweight BMI (34%), and obese (4%) of BMI, and had moderate and inactive activity level (26%). There was an insignificant (p =.085) correlation between fad diets and age (r = -.232), and in addition, there was an insignificant correlation (p =.171) between fad diets and BMI (r =.013). It is concluded that the adults who implemented fad diets and below normal tended to not have activity levels of BMI because of improper food selection and psychological factors. Adults are expected to be able to conduct weight loss with the assistance of a nutritionist or in accordance with balanced nutrition guidelines.

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Raja Habib mail -

Asra Touqir mail -

Irsa Sajjad mail

link https://doi.org/10.54216/IJNS.060206

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new