Engineering and Applied Science Letters (EASL)

The “angle trisection-halting problem” impossibility analogy is fundamentally based on the obscure perception that; the classical geometric notion of constructability in Euclidean plane geometry corresponds to the modern theory of computability. Specifically, the difficulty of empirical trisectability of any angle has been viewed as analogous to the impossibility of solving the halting problem. The primary goal of this paper is to establish the inherent incompatibility between the geometric trisectioning of angles and the halting problem. The exposed proof concern the genetic solutions methodic characterization of the inconsistencies between the angle trisection problem and the halting problem. We show that regarding their attempts at solutions, the genetic trisectability of an arbitrary angle leads to solving the halting problem in geometric cryptographic schemes. It is upon the characteristic inconsistencies that we establish a provable refute of the validity of considering the practical applications of geometric cryptography as a solid source for cryptographic principles.

In a recent review paper related to energy storage, the authors noted that, in a bid to enhance the performance of the anode of a lithium-ion battery (LIB), that a part of the mechanism involved the ability of silicon (Si) and graphene oxide to bind, and that this process was aided by the ”mutual attraction of heterosexual charges” [1], a term or mechanism that was said to be derived from another paper [2]. A LIB, or any battery for that matter, does not have a bisexual, heterosexual or any sexual charge. It seems that this odd term and jargon neologism, or tortured phrase, was introduced as a result of mistranslation of an established term or jargon, ”opposite charges”. As such, it constitutes an error in need of correction. The wider implications for energy storage research such as LIBs, as well as for bibliometrics, are discussed.

The evolution of 4G networks has led to the development of different applications based on its powerful network capacity. Although, in the future with the presence of 5G (the fifth generation of network), the network of network, it is predicted that an incredible number of new services, with different business actors will be involved, are going to stem, exploit and explore. This paper briefly introduces the fifth generation of mobile network, 5G, in terms of capabilities, use cases and key enabling technologies, provides key concepts of information security, including availability, integrity and confidentiality. It also highlights the important of security in 5G landscape.

Methods to determine the environmental consequences of circular strategies may be a prerequisite for the circular economy. However, the weighting factors of the criteria groups in the international L.1023 circularity scoring standard need to be determined beforehand. No comprehensive analysis of the connection between carbon footprint based life cycle assessment (LCA) results – of the product to be evaluated and redesigned – and these weighting factors has been published. Here a method, based on lifetime reduction and Analytical Hierarchy Process (AHP), for establishing weighting factors in the L.1023 standard for circularity scoring of electronic goods (EEE), is presented. The scope of the present investigation is the life cycle of a generic EEE evaluated with the L.1023 standard, AHP and carbon emissions. Statistical hypothesis testing at the single circularity score level shows that for the EEE example, the chance of mistakenly favoring the redesigned alternative over the status quo when they are in reality indistinguishable can be as low as 0.6%.

This study focused on line integral and its applications. The study was designed to show the areas where line integral is applicable and point out the role of line integral in solving practical problems. The study found out that space curves, and the concepts of scalar and vector fields are basic concepts to deal line integral. Also, the study found out that line integral is used to calculate mass, center of mass and moments of inertia of a wire, work done by a force on an object moving in a vector field, magnetic field around a conduct, voltage generated in a loop, length of a curve, area of a region bounded by a closed curve, and volume of a solid formed by rotating a closed curve about the \(x-\)axis.

Enhancement of heat and mass transfer heat over rotating plates in industrial processes is a major area of research recently due to several attempts to find cost-effective means. In this study, the flow of Williamson fluid is considered because of its ability to exhibit pseudo-plastic and shear-thinning properties. A theoretical analysis of the effect of Coriolis force and the angle inclination on the magnetohydrodynamic flow of Williamson fluid is considered. The flow is modelled by including Coriolis force and angle of inclination in the Navier-Stokes equation. By adopting a suitable similarity transformation, the system of governing partial differential equations is reduced to a system of ordinary differential equations which are solved using bvp4c solver in MATLAB. The simulations are depicted as graphs and it is found that velocity increases with increasing Coriolis force while it decreases as the magnetic field strength and inclination angle increases. Also, the local skin friction reduces as the rotation increases. Hence, to boost heat and mass transfer in the flow of fluid over a rotating inclined plate in a magnetic field, it is recommended that rotation should be increased and magnetic field strength should be reduced.

In this paper, by using \(t\)-norms, we introduce fuzzy subalgebras and fuzzy \(d\)-ideals of \(d\)-algebra and investigate some properties of them. Moreover, we define the cartesian product and intersection of fuzzy subalgebras and fuzzy \(d\)-ideals of \(d\)-algebra. Finally, by homomorphisms of \(d\)-algebras, we consider the image and pre-image of them.

Water scarcity comes with its attendant socio-economic effects. This paper evaluated the potential water supply and sanitation facilities in Dagbolu-Nigeria to boost economy. Facilities survey was carried out for the study including information from water, sanitation and health institutions across the State. GIS approach was used to depict the groundwater recharge potential of the study area.15.3% of the populace have access to potable water while 32.5% have access to good sanitation. Water-related diseases in the area are preponderantly malaria (81.2%), diarrhoea (8.41%), typhoid fever (3.40%), dysentery (3.22%) and cholera (2.76%). Annual loss due to unproductive downtime sickness in the Nigeria is estimated to be N 414,763,442,768:00. Improve management through effective policies of water resources leading to good water supply, hygiene and sanitation will enhance development or our underdeveloped countries.

Wastewater discharged by dye manufacturing and textile finishing industries has become an environmental concern. The textile dyeing plants utilize a variety of synthetic dyes and dump massive amounts of dyeing effluent because the uptake of these dyes by fabrics is very low. The plant’s photosynthetic activity is significantly harmed by this highly colored textile dyeing effluent, impairs aquatic life because of its low light penetration and oxygen consumption. Owing to the presence of heavy metallic materials and chlorine in synthetic dyes, it could also be harmful to some aquatic creatures. Therefore, these textile wastewaters need to be treated before their discharge. Various techniques for dealing with textile dyeing effluent have been discussed in this paper. Treatment techniques presented in this study include oxidation methods, physical methods, and biological methods. Also, the paper is prepared to compile all the updated data on textile dyeing effluents’ characterization and their impact on the environment from various journals and websites and some from personal communication with some factories. Since an extensive range of synthetic dyes, namely, azo dye, vat dye, reactive dye, disperse dye, is widely used in the textile industry, some of the dyeing effluents’ physicochemical parameters surpassed their standard limits. Hence, these days, the proper monitoring and corrective steps such as the elimination process have become the most thoughtful tasks globally, particularly the developing and transition economies. It is crucial to take immediate action to minimize environmental emissions due to the discharge of untreated textile dye waste.

In the presented work we applied three machine learning techniques to forecast and predict COVID-19 cases, deaths ad recoveries numbers in Algeria for the next six months using data from February 25th, 2020 to April 26th , 2021. These models are represented by the Gaussian process regression (GPR), the support vector machine (SVM) and the decision tree (DT). The plotting results and parameters evaluation pointed out that the Gaussian Process Regression (GPR) has the best performance. Prediction with this model showed that the number of cases, deaths and recoveries will increase in the next months Algeria recording a peak in the month of August and the curve will tend to decrease later.