GET THE APP

..

Journal of Applied & Computational Mathematics

ISSN: 2168-9679

Open Access

Current Issue

Volume 10, Issue 11 (2021)

    Editorial Pages: 1 - 2

    Analytic Number Theory

    Ahnad Fakhar*

    Share this article

    Volume 11, Issue 9 (2022)

      Opinion Pages: 1 - 3

      Agreement Docking and MM-PBSA Calculations?

      Husein Borey*

      DOI: 10.37421/ 2168-9679.2022.11.490

      The Covid illness 2019 (Coronavirus) is a pandemic that has seriously presented significant wellbeing challenges and guaranteed great many lives. However immunizations have been delivered to stem the spread of this illness, the passing rate stays high since drugs utilized for treatment have helpful difficulties. Serious intense respiratory disorder Covid 2 (SARS-CoV-2), the infection that causes the sickness, has a huge number of likely restorative targets. Among them is the furin protease, which has a cleavage site on the infection's spike protein. The cleavage site works with the section of the infection into human cells through cell combination. This basic contribution of furin in the sickness pathogenicity has made it a reasonable helpful procedure against the infection. This study utilizes the agreement docking approach utilizing Cross breed and AutoDock Vina to basically screen a pre-separated library of 3942 normal item mixtures of African beginning against the human furin protease (PDB: 4RYD). Twenty of these mixtures were chosen as hits in the wake of meeting atomic docking cut-off of-7 kcal.mol-1, present arrangement review, and having ideal furin-ligand connections.

      Review Article Pages: 1 - 2

      Computational Therapeutics Against Coronavirus

      Yong Xui*

      DOI: 10.37421/ 2168-9679.2022.11.491

      Drug revelation tests in cell culture and creature models focusing on the hindrance of furin protease as restorative mediation for explicit illnesses have been promising. In 2015, some novel furin inhibitors were tried by means of cell culture tests against flu infection, Bacillus anthracis, and diphtheria poisons. That's what their discoveries showed, within the sight of these inhibitors, the spread of the avian flu infections, H5N1 and H7N1, was firmly repressed. Bacillus anthracis and diphtheria poisons which are not infections however rely upon furin for their engendering gave indications of defensive impact within the sight of the inhibitors.

      Mini Review Pages: 1 - 2

      Transport of Jeffrey Liquid with Silver Nanoparticle in the Capricious Annulus

      Kohai Nitha*

      DOI: 10.37421/ 2168-9679.2022.11.492

      This study researches the effects of warm leap and slanted attractive field on the peristaltic transport of Jeffrey liquid containing silver nanoparticles in the erratic abrogates under the long frequency and low Reynolds number presumption. In clinical examinations, the effect of warm leaps and skewed attractive fields on general wellbeing is of interest. Peristaltic movement's capacity to send heat and make an attractive field has a few purposes in biomedical and bioengineering. The non-Newtonian Jeffrey liquid with silver nanoparticles is viewed as in the space between two barrel shaped tubes that are unusually adjusted. The homotopic bother strategy is semi-logical for demonstrating and nonlinear halfway differential conditions (HPM). Scientific answers for speed, pressure angle, and tension ascent were found. To show what actual boundaries mean for temperature, speed, fixation, frictional power, and tension ascent of inward and external cylinders were plotted. A correlation of the current technique with the specific answer for temperature and nanoparticle focus profile is shown graphically. The current examination of logical arrangement ways to deal with the specific arrangement. The main thing in the ongoing examination is that the Hartmann number and thermophoresis number make the speed profile decline. Jeffrey liquid boundary and attractive field point make the speed rise. The nanofluid's temperature climbs because of the warm leap. What's more, the Jeffrey nanofluid has a higher energy and temperature than the Jeffrey liquid. This examination can more readily assess the needle's infusion speed and liquid stream highlights during disease treatment, conduit blockage expulsion, and diminished draining all through the medical procedure.

      Short Commentary Pages: 1 - 3

      Information Revelation based Computational Advances for Clinical Large Information

      Kohai Nitha*

      DOI: 10.37421/ 2168-9679.2022.11.493

      As of late, the persistent advancement of large information, cloud administrations, Internet+, man-made consciousness, and different advancements has sped up the improvement of information correspondence administrations in the customary drug industry. It assumes a main part in the improvement of my country's drug industry, extending the change of the wellbeing framework, working on the effectiveness and nature of clinical benefits, and growing new advances. In this unique situation, we make the accompanying examination and reach the accompanying determinations: the size of my country's clinical huge information market is continually expanding, and the worldwide clinical large information market is likewise expanding. Contrasted and the worldwide clinical huge information market, China's clinical enormous information has developed at a quicker rate.

      Case Report Pages: 1 - 3

      Clinical Framework Utilization of Man-Made Reasoning Artificial Intelligence based Large Information Examination

      Guillerm Fernand*

      DOI: 10.37421/ 2168-9679.2022.11.494

      The short term enrollment framework is straightforwardly connected with the ongoing patient meeting process and is additionally the reason for its development. The principal thing to tackle is the enlistment, which can be handled through the enrollment application and the clinical entryway. The short term enrollment framework utilizes JSP innovation to understand the intercommunication of related data by finishing patient data section, doctor determination, or arrangement the board. During the time spent setting up the framework, lay the foundation for it.

      Volume 11, Issue 8 (2022)

        Research Article Pages: 1 - 5

        Modeling Rainfall Data in Kenya Using Bayesian Vector Autoregressive

        Gitonga Harun Mwangi*, Joseph Koske and Mathew Kosgei

        DOI: 10.37421/2168-9679.2022.11.487

        Time series modeling and forecasting has ultimate importance in various practical domains in the world. Many significant models have been proposed to improve the accuracy of their prediction. Global warming has been a big challenge to the world in affecting the normality of the day to day economic and non-economic activities. It causes far-reaching weather changes, which are characterized by precipitation or temperature fluctuations. Rainfall prediction is one of the most important and challenging tasks in the recent today’s world. In Kenya unstable weather patterns which are associated with global warming have been experienced to a greater extent. The objective of this study was to modeled rainfall patterns in Kenya by use of Bayesian Vector Autoregressive (BVAR). To achieve this objective, the data was first statistically diagnosed using Augmented Dicker Fuller and Granger Causality test. The BVAR model was developed using multiple regression analysis in a system of equations. The model sensitivity was performed using confusion matrix and the F-test was used to compare the variances of the actual and forecasted rainfall values. After the first differencing the data was found to be stationary where Augmented Dicker Fuller (ADF) test was statistically significant with P-values <0.05. The Granger Causality test found that; temperature, atmospheric pressure, wind speed and relative humidity influenced the rainfall time series models in all the regions. The model sensitivity was performed using confusion matrix. The BVAR model developed was statistically significant (R2=0.9896). The sensitivity of the model was 82.22%, making it appropriate for forecasting. In conclusion the Bayesian Vector Autoregressive model developed is suitable and sensitive for forecasting rainfall patterns.

        Research Article Pages: 1 - 4

        The Influence of Mobile Phone on Colleges of Education Students? Interest on Basic General Mathematics

        Adedapo Ismail Yemi*

        DOI: 10.37421/2168-9679.2022.11.485

        The study examined the influence of mobile phone on students’ interest in basic general mathematics colleges of education in Enugu state. Three research questions were posed to guide the study. The study adopted survey research design. All the NCE 1 students of government owned colleges of education in Enugu state form the population of the study. Sixty students (60) were sampled from the population using multistage sampling technique. The study sample was exposed to learning basic general mathematics (GSS 122) through mobile phone for period of three weeks. The instrument for collecting data was Basic General Mathematics Interest Questionnaire (BGMIQ) with reliability coefficient of 0.89 obtained from Cronbach alpha. Descriptive Statistic of mean and standard deviation was used to answer the research questions. It was found among others that the learning of basic general through the mobile phone develops the interest of the students in three main constructs (namely: tested, leisure and career). It was recommended among others that lecturers should be encouraged to integrate mobile phone for teaching basic general mathematics so as stimulate the interest of the students thereby improve their achievement in the course.

        Research Article Pages: 1 - 4

        Approximate Solution to First-order Integro-differential Equations Using Polynomial Collocation Approach

        Ganiyu Ajileye* and F.A. Aminu

        DOI: 10.37421/2168-9679.2022.11.486

        In this study, power series and shifted Chebyshev polynomials are used as basis function for solving first order volterra integro-differential equations using standard collocation method. An assumed approximate solution in terms of the constructed polynomial was substituted into the class of integro-differential equation considered. The resulted equation was collocated at appropriate points within the interval of consideration [0,1] to obtain a system of algebraic linear equations. Solving the system of equations, by inverse multiplication, the unknown coefficients involved in the equations are obtained. The required approximate results are obtained when the values of the constant coefficients are substituted back into the assumed approximate solution. Numerical example are presented to confirm the accuracy and efficiency of the method.

        Method Pages: 1 - 4

        Recurrence Relation When Solving 2nd Order Homogeneous Linear ODEs by Frobenius Method

        Saad F. Shaikh*

        DOI: 10.37421/2168-9679.2022.11.488

        The Frobenius method, also known as the Extended Power Series method comes into play when solving second-order homogeneous linear ODEs having variable coefficients, about a singular point. The solution is expressed in terms of infinite power series. This straightforward article is merely aimed to lucidly arrive at the recurrence relation/formula by taking proper heed of summation limits and simply manipulating them, which is probably absent in almost all research articles and books. The methodology discussed is followed by a few conspicuous and relevant observations.

        Short Commentary Pages: 1 - 3

        Displaying Nonlocal Conduct in Pandemics by Means of a Response Dispersion Framework Consolidating Populace Development along an Organization

        Sadiya F. Shaikha*

        DOI: 10.37421/2168-9679.2022.11.489

        The episode of Coronavirus, starting in 2019 and going on through the hour of composing, has prompted reestablished interest in the numerical displaying of irresistible sickness. Late works have zeroed in on fractional differential condition (PDE) models, especially response dispersion models, ready to depict the movement of a pestilence in both reality. These examinations have shown commonly encouraging outcomes in portraying and anticipating Coronavirus movement. Be that as it may, individuals frequently travel significant distances in brief timeframes, prompting nonlocal transmission of the sickness. Such virus elements are not very much addressed by dissemination alone. Conversely, customary differential condition (Tribute) models may effortlessly represent this way of behaving by thinking about divergent locales as hubs in an organization, with the edges characterizing nonlocal transmission. In this work, we endeavor to join these demonstrating standards by means of the presentation of an organization structure inside a response dispersion PDE framework. This is accomplished through the meaning of a populace move administrator, which couples disjoint and possibly far off geographic locales, working with nonlocal populace development between them. We give scientific outcomes showing that this administrator doesn't upset the actual consistency or numerical well-posedness of the framework, and check these outcomes through mathematical tests. We then utilize this strategy to recreate the Coronavirus plague in the Brazilian district of Rio de Janeiro, exhibiting its capacity to catch significant nonlocal ways of behaving, while at the same time keeping up with the benefits of a response dissemination model for portraying neighborhood elements.

        Volume 11, Issue 6 (2022)

          Research Article Pages: 1 - 4

          An Interior-Point Method for Nonlinear Constrained Optimization Problem with Trust-Region Mechanism

          Bothina El-Sobky, Gehan Ashry* and Yousria Abo-Elnaga

          DOI: 10.37421/2168-9679.22.11.479

          We introduced an algorithm to solve a Non Linear Constrained Optimization (NLCO) problem in this paper. This algorithm follows Das’s idea of Newton’s interiorpoint method that uses a diagonal matrix of Coleman and Li for NLCO problems. A Trust-Region (T-R) mechanism is used to globalize the algorithm. This algorithm follows Byrd and Omojokun’s idea of step decomposition. It is a successful idea to overcome the difficulty of having an infeasible quadratic T-R sub problem and converts the quadratic T-R sub problem into two unconstrained T-R sub problems.

          A global convergence theory of the algorithm is studied under five standard assumptions. This algorithm is different and maybe simpler than similar ideas such that the global convergence theory is not depending on the linear independence assumption on the gradients of the constraints.

          Some numerical tests are stated to indicate that the algorithm performs effectively and efficiently in pursuance.

          Research Article Pages: 1 - 6

          MMORPG Data Recovery from Player to Player Interactions: Dead Acquisition Including Game Modification Files

          Kayla J Schneider*

          DOI: 10.37421/2168-9679.22.11.476

          Imagine a world that allows for open, unmonitored communication, and the ability to trade currency between individuals anonymously. An environment such as this would present itself as a prime location for malicious intent. Money laundering, exploitation, theft, harassment, and stalking could potentially go unnoticed. When discussing World of warcraft or fortnite, malicious intent would generally not come to mind. However, this is precisely the type of environment that massively multiplayer online role-playing games provide.

          Case Report Pages: 1 - 4

          Modelling the Effect of Depletion Rate of Forestry Resources due to Industrialization on the Effect of Population and Population Augmented Industrialization on Forestry Resources

          Jonathan Ezeorah* and E N Ekaka-A

          DOI: 10.37421/2168-9679.22.11.477

          In this work, we used the 0de45 to simulate the behavior of the dynamical system of the nonlinear system of ordinary differential equation at equilibrium. It is shown that if the forest resources is maintained at the given equilibrium, the activities of man will not affect the stability of the forest resource biomass but a little below the equilibrium the system will be unstable.

          Mini Review Pages: 1 - 2

          Evolution of Electric and Magnetic Parts of Weyl Tensor in a Space-time

          Monika Sati* and Kailash Petwal

          DOI: 10.37421/2168-9679.22.11.478

          The present paper is intended to study of the evolution of Electric and Magnetic parts of Weyl tensor in a space-time; in particular to measure the components of parts of Weyl tensor of an observer with a time-like 4-unit vector we have attempted to describe the tensors, which are the parts of Weyl tensor concerning for to the observeru. Further, we have established that if eigenvalues of any matrix are zero, real and imaginary then it is a part of Weyl tensor. Afterward, the cases from Petrov types have been obtained therein.

          Research Article Pages: 1 - 6

          One Method for the Numerical Resolution of One Type of Fractional Differential Equation of Euler-Lagrange

          L. H. D. L. Raharimina*, G. Rasolomampiandry and F. Randimbindrainibe

          DOI: 10.37421/ 2168-9679.2022.11.475

          We propose in this article one method of numerical resolution using the programming under Matlab of one of the fractional differential equations of Euler-Lagrange containing a composition of the left and right fractional derivatives of order α, 0< α<1, of Riemann-Liouville and Caputo respectively.

          Volume 11, Issue 7 (2022)

            Mini-Review Pages: 1 - 3

            Realization of Convergence Splines/ NURBS of Higher Order Stability in Isgeometric Analysis

            Mohd Taib Shatnawi*

            DOI: 10.37421/ 2168-9679.2022.11.480

            Conventional B-splines lack the capacity of local refinement that is required in order to realize ideal convergence order in genuine applications. The challenges with the isogeometric approach include the need to develop an alternative mathematical approach of higher-order equations proven to converge to the shape interface. The main purpose of this study is to determine the realization approach for isogeometric structure in convergence splines/NURBS of distinctive nature of higher-order stability. The basis for this realization approach (i.e. convergence splines/NURBS of higherorder) for B-Spline is degree (order) of realization as used in B-Spline theory. In this approach, the converging (C) order of the basis functions is elevated. An ideal (new) isogeometric structure (i.e. curve or mesh) in convergence splines/NURBS of higher-order stability for improved local refinement has been realized. It is clear that when the order C is enhanced (i.e. realized), converging number n must also be enhanced (i.e. realized) by the equivalent amount of degree. In the process of order enhancement (i.e. the order realization), the stability of every knot value is elevated. Order realization initiates by replicating present knots by the equivalent number as the increase in converging order. In this, every knot vector value is elevated by one point. In line with this, the amount of control points and the basic functions are boosted or amplified from 8 to 13. The refined control points computed was improved where the convergence of higher-order was realized.

            Mini Review Pages: 1 - 3

            Application Overview of Quantum Computing for Gas Turbine Design and Optimization

            Abdul Hamid Ganie*

            DOI: 10.37421/ 2168-9679.2022.11.481

            Calculated plans require enhancement strategies to distinguish the best fit in the framework. The article researches the use of quantum calculation in gas turbine plan and recreation issues with momentum advancements, approaches and possible abilities. Quantum streamlining calculations and quantum annealers help in foreseeing by and large effectiveness and enhancing different working boundaries of the gas turbine. An examination of both old style and quantum PCs has been talked about momentarily. The old style model difficulties are moderated with the utilization of quantum calculation. A clever half and half model for recreating gas turbines has been proposed, which comprises of a mix of the two physical science and AI to wipe out not many of the basic issues confronted. This survey explains use of quantum figuring based AI for plan and enhancement of a gas turbine. The general conditions of the gas ways of gas turbines could be examined utilizing the quantum processing model from here on out.

            Commentary Pages: 1 - 3

            Capability of Passive DVB-T Radar Component against Illegal UAV Flights

            Carla Banca*

            DOI: 10.37421/ 2168-9679.2022.11.482

            For the present numerous years, unlawful UAV (Unmanned Aerial Vehicle) flights have been seen in various nations and under different conditions. The plan of such unlawful flights might cover modern surveillance up to psychological oppressor assaults. Countering such a topsy-turvy danger is currently of expanding and testing interest for some nations. The really mandatory capabilities for such an enemy of UAV framework will be momentarily examined from recognition, confinement, ID/arrangement, extraction (a UAV must be segregated from different discoveries) to the alarm capability. After this presentation about the unique situation, a depiction of a latent DVB-T (Digital Video Broadcasting Terrestrial) radar part will be given, and its true capacity, concerning the recently portrayed capabilities, will be shown utilizing exploratory outcomes. Such a detached methodology will be in no time contrasted and dynamic radar parts. A few estimation crusades have been led with a seriously colossal assortment of nano-little UAVs (multirotors, for example, ANAFI, Mavik, Phantom 4, F450 up to M600 as well as fixed wings like officer, Disco, X8 and X11) developing under different designs (bistatic bases, different weather patterns) and a choice of the most significant outcomes will be introduced.

            Mini Review Pages: 1 - 3

            Robot Fish Caudal Propulsive Mechanisms: A Mini-Review

            Changu Wangy*

            DOI: 10.37421/ 2168-9679.2022.11.483

            Scientists have fostered various fake fish to impersonate the abilities to swim of natural species and comprehend their biomechanical underwater abilities. The inspiration emerges from the interest to acquire further appreciation of the effective idea of organic motion, which is the consequence of millions of long stretches of development and transformation. Blade based natural species created remarkable abilities to swim and prominent execution in profoundly unique and complex underwater conditions. Accordingly, in light of examination by established researchers, this little survey focuses on talking about the mechanical gadgets created to execute the caudal propulsive portions of automated fish. Caudal components are of impressive interest since they might be intended to control inertial and gravitational powers, as well as applying extraordinary unique reach in automated fish. This original copy gives a compact survey zeroed in on the designing executions of caudal components of anguilliform, subcarangiform, subcarangiform, thunniform and ostraciiform swimming modes.

            Review Article Pages: 1 - 3

            Authentication Methods: A Comprehensive Survey

            Hamie Gany*

            DOI: 10.37421/ 2168-9679.2022.11.484

            This paper presents a far reaching examination of current confirmation plans. We start with the significance of verification strategies and the different validation processes. Then, at that point, we present the verification measures utilized and we play out an examination of validation strategies concerning comprehensiveness, uniqueness, collectability, execution, worthiness, and caricaturing. At long last, we present multifaceted verification difficulties and security issues and present future bearings.

            Volume 11, Issue 4 (2022)

Google Scholar citation report
Citations: 1282

Journal of Applied & Computational Mathematics received 1282 citations as per Google Scholar report

Journal of Applied & Computational Mathematics peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward