Volume-1 Issue-6, May 2015. – International Journal of Basic Sciences and Applied Computing (IJBSAC)

F0032051615

IJBSAC Journal — Tue, 17 Aug 2021 08:57:14 +0000

The International Journal of Basic Sciences and Applied Computing (IJBSAC) has ISSN: 2394-367X (online), an open-access, peer-reviewed, periodical monthly international journal. This journal is published by Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) in January, February, March, April, May, June, July, August, September, October, November and December.The aim of the journal is to publish high quality peer–reviewed original articles in the area of Physics, Chemistry, Mathematics, Biology and Pharmacy that covers Physics: Classical Mechanics, Electro Techniques, Thermodynamics and Statistical Mechanics, Quantum Mechanics, Relativity, Chemistry: Organic Chemistry, Inorganic Chemistry, Analytical Chemistry, Physical Chemistry, Bio Chemistry, Mathematics: Algebra, Geometry, Trigonometry, Calculus, Linear Algebra, Combinatorics, Differential Equations, Real Analysis, Complex Analysis, Abstract Algebra (includes group theory, ring theory, field theory, and module theory), Topology, Number Theory, Logic, Probability, Statistics, Game Theory, Functional Analysis, Algebraic Geometry, Differential Geometry, Dynamical Systems (includes “chaos theory”), Numerical Analysis, Set Theory, Category Theory, Model Theory, Biology: Biochemistry, Biotechnology, Bioinformatics, Cell Biology, Microbiology, Molecular Biology, Neurobiology, Cytology, Pathology, Immunobiology, Botany: Biogeography, Biotechnology, Cell Biology, Conservation Biology, Ecology, Ecophysiology, Environmental Science and Management, Evolutionary Biology, Flowering time and plant responses to abiotic stress, Fossils, Freshwater Botany, Fungal diseases of tropical and temperate plants, Marine Botany, Molecular plant biology, Plant Biodiversity, Plant Cell Biology, Plant Development, Plant Diseases, Plant Ecology, Plant Hormones, Plant Physiology, Plant Reproduction, Plant Systematics, Plant Virology, Population genetics, Pharmacy: Pharmaceutical Technology, Pharmaceutics, Novel Drug Delivery, Biopharmaceutics, Pharmacokinetics, Pharmacognosy and Natural Product Research, Pharmaceutical/Medicinal Chemistry, Computational Chemistry and Molecular Drug Design, Pharmaceutical Analysis, Pharmacology, Pharmacy Practice, Clinical and Hospital Pharmacy, Cell Biology, Genomics and Proteomics, Pharmacogenomics, Bioinformatics, Pharmacoeconomics, Research outcomes from medical sciences/case study and biotechnology of pharmaceutical interest are also considered. #Physics #Classical Mechanics: Newton's Laws of Motion, Lagrangian Mechanics, Hamiltonian Mechanics, Kinematics, Statics, Dynamics, Chaos Theory, Acoustics, Fluid Dynamics, Continuum Mechanics #Electro Techniques: Electrostatics, Electrodynamics, Electricity, Magnetism, Magneto Statics, Maxwell's Equations, Optics #Thermodynamics and Statistical Mechanics: Heat Engine, Kinetic Theory #Quantum Mechanics: Path Integral Formulation, Scattering Theory, Schrödinger Equation, Quantum Field Theory, Quantum Statistical Mechanics #Relativity: Special Relativity, General Relativity, Einstein Field Equations #Chemistry #Organic Chemistry: The Study of Carbon and Its Compounds; The Study of The Chemistry of Life. #Inorganic Chemistry: The Study of Compounds Not-Covered by Organic Chemistry; The Study of Inorganic Compounds or Compounds Which Do Not Contain A C-H Bond. Many Inorganic Compounds Are Those Which Contain Metals. #Analytical Chemistry: The Study of The Chemistry of Matter and The Development of Tools Used to Measure Properties of Matter. #Physical Chemistry: The Branch of Chemistry That Applies Physics to The Study of Chemistry. Commonly This Includes the Applications of Thermodynamics and Quantum Mechanics to Chemistry. #Bio Chemistry: The Study of Chemical Processes That Occur Inside of Living Organisms. #Mathematics #Algebra #Geometry #Trigonometry #Calculus #Linear Algebra #Combinatorics #Differential Equations #Real Analysis #Complex Analysis #Abstract Algebra (Includes Group Theory, Ring Theory, Field Theory, and Module Theory) #Topology #Number Theory #Logic #Probability #Statistics #Game Theory #Functional Analysis #Algebraic Geometry #Differential Geometry #Dynamical Systems (Includes "Chaos Theory") #Numerical Analysis #Set Theory #Category Theory #Model Theory #Biology #Biochemistry #Biotechnology #Bioinformatics #Cell Biology #Microbiology #Molecular Biology #Neurobiology #Cytology #Pathology #Immunobiology #Biogeography #Biotechnology #Cell Biology #Conservation Biology #Ecology #Ecophysiology #Environmental Science and Management #Evolutionary Biology #Flowering Time and Plant Responses to Abiotic Stress #Fossils #Freshwater Botany #Fungal Diseases of Tropical and Temperate Plants #Marine Botany #Molecular Plant Biology #Plant Biodiversity #Plant Cell Biology #Plant Development #Plant Diseases #Plant Ecology #Plant Hormones #Plant Physiology #Plant Reproduction #Plant Systematics #Plant Virology #Population Genetics #Pharmacy #Pharmaceutical Technology, Pharmaceutics, Novel Drug Delivery, Biopharmaceutics, Pharmacokinetics #Pharmacognosy and Natural Product Research #Pharmaceutical/Medicinal Chemistry, Computational Chemistry and Molecular Drug Design, Pharmaceutical Analysis #Pharmacology, Pharmacy Practice, Clinical and Hospital Pharmacy #Cell Biology, Genomics and Proteomics, Pharmacogenomics, Bioinformatics, Pharmacoeconomics #Research Outcomes from Medical Sciences/Case Study and Biotechnology of Pharmaceutical Interest Are Also Considered. #PhD ademic #Scopus #SCI #LatticeScience #Springer #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #ESCI #Science #Journal #Conference #SSRN #PubLons #PhD #Academic #Scopus #SCI #LatticeScience #Springer, #ScienceDirect #IEEE #Mendeley #Research #Scholarship #UGC #SSRN #LatticeScience #ESCI #Science #Journal #Conference #SSRN #PubLons

Use of Network Performance Management Tools to Increase Productivity
Seth Okyere Dankwa¹, Daparti Subba Rao²
¹Mr. Seth Okyere Dankwa, Lecturer, Koridua Polytechnic, P.O. Box KF 2803, Koforidua, Ghana, India.
²Prof. Daparti Subba Rao, Dean of Computer Science, IIS, Indore, India.
Manuscript received on May 01, 2015. | Manuscript Received on May 07, 2015. | Manuscript published on May 20, 2015. | PP: 11-16 | Volume-1 Issue-6, May 2015
Open Access | Ethics and Policies | Cite
© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Research has shown that there is a substantial lost in productivity anytime the performance of computer network becomes suspect. The resultant financial effect of supplementary bandwidth investment presents a daunting picture. Performance issues are very crucial in computer networks, for example when many computers are interconnected, complex interactions arise with unforeseen consequences. This complexity leads to degradation of performance if the system is not managed properly. The research explores the use of performance management aspect of the network management to maximize efficiency and productivity in computer network. It also tries to find out the features of performance management, examines current solutions to performance management features, investigate about techniques adopted to achieve quality of service and then attempts to recommend an appropriate performance approach to a medium sized company. The research is expected to reveal that performance management concept is one of the most efficient and effective network management approaches which ensures automated and preventive maintenance, thus relieving the network managers of doing manual investigation to find out many problems that the network might create. The research outcome enhances network availability to users, remote and automated monitoring to network administrators and then increase productivity to cooperate bodies.
Keywords: Throughput, Response Time, Availability, Protocol Analyzer, Multi Router Traffic Grapher (MRTG).

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F0031051615

IJBSAC Journal — Tue, 17 Aug 2021 08:46:00 +0000

Expedite Flow Completion on High Speed Network Through Protocols
Seth Okyere Dankwa¹, Daparti Subba Rao²
¹Mr. Seth Okyere Dankwa, Lecturer, Koridua Polytechnic, P.O. Box KF 2803, Koforidua, Ghana, India.
²Prof. Daparti Subba Rao, Dean of Computer Science, IIS, Indore, India.
Manuscript received on May 01, 2015. | Manuscript Received on May 07, 2015. | Manuscript published on May 20, 2015. | PP: 6-10 | Volume-1 Issue-6, May 2015.
Open Access | Ethics and Policies | Cite
© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: It has been proved by a lot of researchers that the present operation of TCP which is the main internet control protocol will suffer poor performance in future high speed networks. It has also been established that performance issues are very crucial in computer networks, for example when many computers are interconnected, complex interactions arise with unforeseen consequences. This complexity leads to degradation of performance if the system is not managed properly. Yet research on congestion control focuses almost entirely on maximizing link throughput, utilization and fairness, which matter more to the operator than the user. To arrest the situation, various factors which affect network performance were examined. Characteristics of congestion Control Protocols were described. Congestion Control Protocols like Transmission Control Protocol (TCP) and Explicit Congestion Protocol (XCP)were evaluated. The proposed congestion control protocol, Rate Congestion Protocol (RCP) was also evaluated. Then NS2 simulator was used under different scenarios to evaluate the performance of RCP and the aforementioned protocols to prove that RCP outperforms them in terms of expediting flows.
Keywords: Rate Control Protocol (RCP); Explicit Control Protocol (XCP); Processor Sharing (PS); Network Simulator 2(NS2); Transmission Control Protocol (TCP).

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F0030051615

IJBSAC Journal — Tue, 17 Aug 2021 07:28:16 +0000

Prognostic Capacity of Oxidative Biomarkers in Paroxysmal Atrial Fibrillation
Mariya Negreva¹, Krasimira Prodanova², Katerina Vitlianova³, Albena Alexandrova⁴
¹Mariya Negreva, MD, PhD, working as Asst. Prof., in Intensive Care Unit at University hospital of Varna, Bulgaria.
²Krasimira Prodanova, B.Sc (Faculty of Mathematics, Informatics and Mechanics) University of Sofia, Bulgaria.
³Katerina Vitlianova, PhD, DSc, Master of Phylosophy degree in Epidemiology and Biostatistics – Cambridge University, UK.
⁴Albena Alexandrova, PhD, DSc, Master of Phylosophy degree in Epidemiology and Biostatistics – Cambridge University, UK.
Manuscript received on May 01, 2015. | Manuscript Received on May 07, 2015. | Manuscript published on May 20, 2015. | PP: 1-5 | Volume-1 Issue-6, May 2015
Open Access | Ethics and Policies | Cite
© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Background: In our previous studies on the oxidative status of patients with paroxysmal atrial fibrillation (PAF) we found eight oxidative biomarkers – plasma malondialdehyde (Pl-MDA), erythrocyte malondialdehyde (Er-MDA), plasma glutathione (Pl-GSH), erythrocyte glutathione (Er-GSH), superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GSH-Px) and glucose-6-phosphate dehydrogenase (Glu-6-PhD) – that changed significantly still in the first twenty-four hours of the arrhythmia clinical presentation. It is exactly their early changes that suggest a correlation of these biomarkers with the trigger mechanisms of the rhythm disorder which then raise the question of how efficiently they can predict PAF occurrence. Aim: To analyse the changes in these oxidative biomarkers as predictive for PAF development. Place and duration of study: The participants were recruited in 1st Cardiology Clinic of St Marina University Hospital, Varna, Bulgaria, between October 2010 and May 2012. Patients and methods: The oxidative indicators were measured in 51 patients (26 men; mean age 59.84 ± 1.60) and 52 controls (26 men; mean age 59.50 ± 1.46) matched in age, sex, concomitant diseases, harmful habits and body mass index. Blood samples were collected once. A dichotomous logistic regression analysis was performed to identify the oxidative biomarkers (explanatory variables) independently associated with PAF appearance. Eight logistic models with a single explanatory variable were considered to find statistically significant predictors for PAF. A multiple logistic model was used to assess simultaneously the predictive value of all statistically significant explanatory variables. Results: The logistic regression models with a single explanatory variable showed that six of the eight indicators were associated with PAF development: Pl-MDA (P=0.03), Er-MDA (P<0.001), Pl-GSH (P< 0.001), SOD (P< 0.001), CAT (P< 0.001), GSH-Px (P< 0.001). The multiple logistic model using all six explanatory variables confirmed the results (P=0.006). Constructed models were used to obtain adjusted estimate of odds and a prediction success matrix. It was found that the multiple logistic model could measure the PAF probability using values of these six markers. Conclusion: Pl-MDA, Er-MDA, Pl-GSH, SOD, CAT and GSH-Px were found to be oxidative biomarkers with predictive value for PAF occurrence. In clinical practice for each measured value of these biomarkers, the probability of the arrhythmia manifestation could be calculated.
Keywords: Atrial fibrillation, oxidative markers, prediction, occurrence.

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