Acute coronary syndrome in diclofenac sodium-induced type I hypersensitivity reaction : Kounis syndrome

Drug-induced type I hypersensitivity reactions are frequent. Sometimes, acute coronary syndrome (ACS) can be registered in such patients, which may have a serious impact on the course and management of the allergic reaction. Because of potentially atypical ACS clinical presentations, the ECG is an obligatory diagnostic tool in any allergic reaction. Coronary artery spasm is the pathophysiological basis of ACS, triggered by the action of potent vasoactive mediators (histamine, neutral proteases, arachidonic acid products) released from the cells involved in type I hypersensitivity. Allergic angina and allergic myocardial infarction are referred to as Kounis Syndrome. We describe herein a case of ACS in a patient with registered systemic immediate hypersensitivity reaction which developed following the muscular administration of diclofenac sodium.peer-reviewe

The “Obese Asthma” in Children as a Distinct Clinical Phenotype: Review

Asthma, obesity, and irrational use of antibiotics early in a life can be considered to be the three epidemics of modern times, which encourage one another and whose base is the loss of bioavailability. Disruption of the intestinal microbiome early in the life is the basis for the development of metabolic diseases, allergic immunological diseases, and high mortality rate due to infection with resistant strains of bacteria. During the irrational use of penicillin and macrolides postnatally, the composition of the intestinal microbiota and its functions change 12–24 months after the antibiotics treatment, the settlement of advantage intestinal flora with probiotic microorganisms is delayed, the maturation of the intestinal mucosa is compromised. Respiratory and systemic inflammation is strongly influenced by the rich adipocyte metabolism so that the treatment of these children is complex, and their asthma often remains only partially controlled. The phenotype “obese asthma” is characterized by a steroid and bronchodilator resistance. Therapeutic solution could be the body weight reducing, vitamin D3 substitution, and antileukotriene application. The prophylactic therapy of this asthma, using macrolides for a long time, should be supported, mandatory, with the substitution of probiotic/synbiotic during, and at least 6–9 months after discontinuation of therapy with macrolide

Application of the Four-Color Theorem for coloring a city map

A graph can be defined as a mathematical representation of a network, or as a set of points connected by lines. By a graph can be defined all kind of transportation networks (air, rail), a telecommunication system, the internet … Graph theory is a branch of mathematics and had its beginnings in math problems. However, today it has grown into a significant area of mathematical research, with applications almost everywhere (in chemistry, operations research, social sciences, and computer science). In the paper basic definition of graph theory, then some definition of a chromatic number of a graph and certain theorems related with graph coloring are given. Then is considering the problem of map coloring with four colors. One way to consider this problem is with the theory of graphs, because graphs are closely related to maps. We considered the map of metropolitan area of Shtip and Skopje. For coloring, we use the software “Four color theorem – map solver”

Genetic Factors Underlying Susceptibility to Acute Pyelonephritis and Post-infectious Renal Damage

Chapter of the book "Recent Advances in the Field of Urinary Tract Infections" [https://doi.org/10.5772/46044

SPATIAL SPICE MODEL OF A WIRELESS SENSOR NETWORK NODE BASED ON A THERMOELECTRIC GENERATOR

This paper presents a spatial SPICE model of a wireless sensor network node that enables simulation of performances in the steady-state and time-domain. The model includes constructive non-electrical parts of the node and a thermoelectric generator employing the thermoelectric effects. The simulation results are compared with the experiment to validate the proposed model. It enabled the characterization of WSN nodes comprising different thermoelectric generators and heatsinks in terms of energy conversion efficiency

Application of Markov Chains in the Biology

Markov chain is a random process with Markov characteristics, which exists in the discrete index set and state space in probability theory and mathematical statistics. Markov chains are powerful tools for stochastic modelling that can be useful in any science discipline. In this paper, we give an overview of some basic applications of the Markov chains in the biology. We will describe the application in crossbreeding of the animals in close relation and the carcinogenesis

The importance of the mathematical modeling in STEM education

The science, technology, engineering, and mathematics (STEM) education model is very popular and used method in the recent years in most of the countries in the world. With STEM education at primary, secondary and high level the students acquire important skills, creativity, innovation, and entrepreneurship. For STEM integration and training different teaching methods can be used. The mathematical modeling is one of the most important methods which can be used at all educational levels. Mathematical modeling will be considered as a bridge to STEM education. Mathematical modeling, is the process of analyzing real-life or realistic situation using mathematical methods in the most general sense. The mathematical modeling cycles should be used in STEM education at all levels from primary to tertiary education in order to increase the students’ motivation towards learning mathematics for solving real-life problems

Agent-based Modelling and Simulation

One of the most important methods in the educational process, is modelling and simulation of real-world problems. In many situations it is not possible to experiment with real objects to find the right solutions: building, destroying, and making changes may be too expensive, dangerous, or just impossible. Modelling and simulation can be used to build model to represent the real system. Agent based modelling is a relatively new method compared to system dynamics and discrete event modelling. That are computer simulations used to study the interactions between people, things, places, and time. The agents are programmed to behave and interact with other agents and the environment in certain ways. In this paper, the agent-based modelling simulation is considered. In simulation software Anylogic are given some examples of agent-based modelling

APPLICATION OF DIFFERENTIAL EQUATIONS IN EPIDEMIOLOGICAL MODEL

Mathematical modelling is a tool for presenting objects and processes with mathematical language and mathematical rules. Mathematical models can be used for research in public health and epidemiology. Nowadays, during the COVID19 outbreak, mathematical modelling is playing a central role in controlling the spread of infection, making predictions that can help monitoring the epidemic and making adequate responses, in order to lower the number of new infections. In this paper, several models commonly used to control the spreading of infections are considered. These models can also help controlling the COVID 19 infections

Application of Markov Chains in Epidemiology

Recently, mathematical models are used to describe epidemic disease spread. Epidemic disease transmission outbreaks are modeled among Markov chain in order to monitor and control epidemic spreads. In this paper SIS (Susceptible- Infections- Susceptible) and SIR (Susceptive- Infectious- Recovered) models with discrete Markov chain are represented. These models are developed to see how the number of infected individuals changes over time. In this paper a review of a discrete model of Markov chain for describing epidemic spread is represented. The aim of this review is to explain the formulation of SIR and SIS epidemic models for the spread of infectious disease and to estimate transmission rate and recovery rates