# Vol 28, No 1 (2020)

**Year:**2020**Articles:**5**URL:**https://dev.mia-letum.ru/dia/issue/view/840

### Verification of a labor market domain using an academic crowdsourcing system

#### Abstract

Students desiring to become a valuable good in the labor market are willing to pay a considerable monetary cost to obtain knowledge about their prospective job opportunities, nowadays with a diminishing interest in the obtainment of a diploma. Considering the behavior of the labor market as a domain theory under uncertainty, it is straightforward to expect the presence of contradictions, in the form of salaries unable to be classified due to high inconsistency and variation. We provide an algorithm to verify a labor market domain theory based on a crowdsourcing academic system, in which feedback about possible contradictions is generated as a result of consultations with experts inside of the market and clustered into different contexts. We found that the verification process can be repeated iteratively as long as the students’ overall tuition is equal or greater than a quantity partially defined by the number of different profiles of the students.

**Diabetes mellitus**. 2020;28(1):5-16

### Numerical determination of the singularity order of a system of differential equations

#### Abstract

**Diabetes mellitus**. 2020;28(1):17-34

### Simulation of non-stationary event flow with a nested stationary component

#### Abstract

A method for constructing an ensemble of time series trajectories with a nonstationary flow of events and a non-stationary empirical distribution of the values of the observed random variable is described. We consider a special model that is similar in properties to some real processes, such as changes in the price of a financial instrument on the exchange. It is assumed that a random process is represented as an attachment of two processes - stationary and non-stationary. That is, the length of a series of elements in the sequence of the most likely event (the most likely price change in the sequence of transactions) forms a non-stationary time series, and the length of a series of other events is a stationary random process. It is considered that the flow of events is non-stationary Poisson process. A software package that solves the problem of modeling an ensemble of trajectories of an observed random variable is described. Both the values of a random variable and the time of occurrence of the event are modeled. An example of practical application of the model is given.

**Diabetes mellitus**. 2020;28(1):35-48

### Two-way communication retrial queue with unreliable server and multiple types of outgoing calls

#### Abstract

**Diabetes mellitus**. 2020;28(1):49-61

### Calculation of the normal modes of closed waveguides

#### Abstract

**Diabetes mellitus**. 2020;28(1):62-76