Scitech Research Organisation(SRO) (E-Journals)
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Fertilizer Quality Monitoring System in the Supply Chain based on Wireless Sensor Networks
Full text linkSeveral farmers are reported to be utilizing substandard fertilizer as a result of supply chain concerns such as inappropriate storage and adulteration by dealers, resulting in soil infertility, low yield, water pollution, and biodiversity loss. The purpose of this research is to demonstrate the construction of a wireless sensor network system capable of collecting and analyzing data from each stage/point in the supply chain, as well as communicating status updates and recommendations to important supply chain partners. The system collected and evaluated data from each stage/point in the supply chain, and it was able to provide status information and advice to the major supply chain players. This enables the detection of changes in the quality of fertilizer prior to its delivery to farmers, allowing for the implementation of appropriate measures. Test results are wirelessly transmitted to the monitoring software's base station server for analysis, display, and storage through a communication module. The host server is comprised of an interpretation program that is used to receive, process, and display data in real-time. Users may obtain information from the base station server through their mobile phones. The remote server of the base station maintains certified fertilizer parameter values for each new batch and the status of reported fertilizer parameter values for each warehouse and provides the report and associated advice to the server and users, respectively. On the one hand, users may use predefined instructions on their mobile phones to seek information about chemical fertilizers and obtain real-time fertilizer nutrient quality metrics. On the other side, the system notifies the server and users of the report and any associated recommendations. The project's results have been positive, and the project's objective is to aid farmers in making better-informed decisions and boosting agricultural yields via the use of technology
How Saudi Arabia attracts added value investment under the volatile global economic conditions and the COVID-19 pandemic?
Full text linkInternational capital flows are primarily facilitated by foreign direct investment (FDI). The study employs display research to investigate how to draw value-added FDI in the face of turbulence along with the global economy and the COVID-19 pandemic to the Saudi Market. These findings have led to an important mode of foreign direct investment, so they are extremely important as compared to previous studies. The findings reveal that trade openness, infrastructure availability, and market size all play a role in attracting foreign direct investment into a region. Foreign direct investment can be beneficial to both investment companies and host governments. Furthermore, the COVID-19 shock will amplify the current worldwide trend of shortening supply chains and reducing FDI growth. This is a critical juncture that the Saudi government should be encouraged to develop strategies that would lessen the economic impact of such changes on the host country.
It also aids the country's economic development and socio-economic transition. Several factors influence Saudi Arabia's ability to attract foreign direct investment, including growth rates, GDP, exports, and imports. During the Covid-19 pandemic, the government must ensure that the nation remains attractive in order to retain maximum foreign direct investment flows, as this encourages long-term economic growth by rising human capital investment. Therefore, in the face of tumultuous global economic conditions and the COVID-19 pandemic, attracting foreign direct investment can become a source of economic dependency and technology transfer diversification within the Kingdom
A New Family of Optimal Eighth-Order Iterative Scheme for Solving Nonlinear Equations
Full text linkThe objective of this manuscript is to introduce a new family of optimal eight-order iterative methods for computing the numerical zeros of a nonlinear univariate equation that is not dependent on the second derivative. The family was designed to enhance the order of convergence by merging Bawazir’s method and Newton’s method as a third step. To demonstrate the performance of the offered scheme, assorted numerical comparisons have been investigated. In addition, the efficiency index of the new family is 1.6818
Feelings About the Importance of Physical Exercise and its Effects on Mental Health
Full text linkRegular physical exercise is associated with numerous health benefits. Individuals that cultivate physically active lifestyles tend to live longer, have lower rates of disease, and have a higher overall quality of life. Regular exercise is also positively associated with mental health. Data for this study were collected from 285 participants. The findings show that a clear majority of participants believe that exercising improves their overall mood (76.5%) and makes them feel better. Around 3 out of 4 respondents stated that exercise lowers stress, while 7 out of 10 stated that it reduces anxiety. Most of the respondents also reported that physical exercise reduces feelings of depression (60.5%). Seven out of 10 participants prefer to exercise alone. Most of the participants wish they had more time to exercise (80.5%), and most also think that they should make time to exercise more often (83.2%). Women were significantly more likely than men to state that they wish they had more time, and should make more time, to exercise. The most preferred and enjoyed forms of exercise reported were going to gym (lifting weights and cardio) and walking/running. This study shows that people generally feel that physical exercise is important for overall mental health.  
REMITTANCE INCOME: IMPLICATIONS FOR HOUSEHOLD WELFARE IN A DEVELOPING ECONOMY
Full text linkScholars have emphasized the antecedent role of remittance income on household welfare. The existent literature on remittance and household welfare has however presented mixed findings with other revealing no relation while others otherwise. There is dearth of knowledge regarding remittances in emerging economies. The current study seeks to establish the influence remittances on household welfare using a sample derived from households in Uganda which is a developing economy. The study adopted a panel design using data from 2013 to 2020 obtained from Uganda Bureau of statistics. The study findings reveal that remittance income enhances household welfare. Specifically, remittances enhance the consumption expenditure as well as reducing the poverty of the households. The study shapes the directional strategies by government economists to come up with the relevant measures to improve both internal and external remittances so as to reduce household poverty and enhance the household expenditure to spur economic growth and development. The study used a panel design with time gaps because there wasn't enough data. As a result, time series data may be used in future studies to better understand long-term relationships
On the Use of Green's Functions in Solving Boundary Value Problems
Full text linkThere is no doubt that Green's functions have a long history in their use in many fields of applied mathematics and physics and especially in solving boundary value problems, hence we thought that it is worthwhile to write this article to summarize some important results in this concern emphasizing the beauty behind using them and the elegant mathematical techniques used as tools in conjunction with them. Famous problems relate to wave propagation and potential theory will be tackled in some details, giving the solutions of the partial differential equation which are connected with the problem. There remains also tomention that Green's functions are used in many other applications as will be pointed out in the conclusions
Empirical Social Science Between Object Level and Representation Level
Full text linkThe question of this paper follows an empirical study carried out from 2019 to 2021. The paper looks for a method by which empirical statements about transsubjective argumentations can be answered in a syntactically correct and semantically interpreted scientific language. The answer is given by demarcating Methodological Constructivism against Logical Empirism. In Logical Empirism, only an analytical a priori is recognized. In Methodical Constructivism, the experiential a priori is addressed, which makes a transsubjective orientation possible in the first place.  
On the Solutions of Systems of Rational Difference Equations
Full text linkIn this paper we study the form of the solutions of the following systems of difference equations
w_{n+1}=\frac{s_{n}(w_{n-3}+s_{n-4})}{s_{n-4}+w_{n-3} -s_{n}} , s_{n+1}=\frac{w_{n-2}(w_{n-2}+s_{n-3})}{2*w_{n-2}+s_{n-3}}.
w_{n+1}=\frac{(s_{n-4} - w_{n-3})s_{n}}{s_{n-4} -w_{n-3} +s_{n}} , s_{n+1}=\frac{(s_{n-3} - w_{n-2})w_{n-2}}{s_{n-3}}.
With nonzero real numbers initial conditions
Relative Price Differentials in Various Market Structures for Healthcare
Full text linkRecent proposed changes in federal healthcare laws by leading U.S. political parties will lead to higher prices for consumers and heftier profits for retailers especially in monopolistic markets. This is due to the way that the surcharges are proposed to be levied which is as a percentage of the base price of the healthcare service. This paper explains how prices are formed by a profit maximizing firm under the assumption of a production function that is homogeneous of degree one. This paper also demonstrates the relationship between markups and the price elasticity of demand. An analysis of how the newly proposed healthcare rules would impact relative prices in markets of varying levels of competition is then performed
Inference of the Stochastic SIR Household Epidemic Model with Misspecification and Misclassification.
Full text linkSometimes the final size epidemic data may be misclassified and the infectious perioddistribution also misspecified. How are the estimates affected when these two scenarios occur and hence the adequacy of the model fittness to the final size data, is the focus of this study. This is investigated using simulations in the face of global infection, by first simulating the final size epidemic data with exp(4.1) infectious period distribution and estimated with Γ(2,4.1/2) infectious period distribution, vice versa.The estimates are further explored for a range of local and global infection rates andcorresponding proportion infected, misclassification probabilities in the permissible region.The three and four dimensional models are found to be significantly better than the twodimensional model given these scenarios