63 research outputs found
ON THE GENERALIZED FRESNEL SINE INTEGRALS AND CONVOLUTION
The generalized Fresnel sine integral Sk(x) and its associated functions Sk+(x) ; Sk-(x) are deοΏ½fined as locally summable functions on the real line. Some convolutions and neutrix convolutions of the generalized Fresnel sine integral and its associated functions are then found
HIGHER EDUCATIONAL POLICIES: PROBABILITY OF HEIGHT SCHOOL STUDENTS DOR CONTINUED STUDDING ON UNIVERSITIES
Higher Education System reforms, from incorporation of ECTS until present,are evaluative process in Macedonian height educational system. The reforms causedcommercialization of the educational process with multiplication of private educationalinstitutions, and later continued with opening of the new state universities. But, the higherlevel of enrolled height school students on university level are not related with this type ofmultiplication and university education dispersions, but overall is related with implementationof ECTS system. Parallel, the tendency Macedonian students studying abroad is result ofglobal and regional educational policies and liberalization of educational space in general.Yet, Higher education politics, as in the wider region, and in the county refers to dominationin quality and quantity of state own higher educational institutions over private universities.Those tendencies can be seen in the perceptions of height school students for continuation ontheir education on tercial level
ΠΠ²Π°Π»ΡΠ°ΡΠΈΡΠ° Π½Π° Π±ΠΎΠ»Π½ΠΈΡΠΊΠ° ΡΠ°ΡΠΌΠ°ΡΠΈΡΠ° β ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΡΠΊΠ° Π³ΡΠΈΠΆΠ° ΠΈ ΡΡΠ»ΡΠ³ΠΈ
ΠΠ΄ΡΠ°Π²ΡΡΠ²Π΅Π½Π°ΡΠ° ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ° Π½Π° Π Π΅ΠΏΡΠ±Π»ΠΈΠΊΠ° ΠΠ°ΠΊΠ΅Π΄ΠΎΠ½ΠΈΡΠ° ΠΊΠΎΡΠ° Π΅ Π΄ΠΎΠ½Π΅ΡΠ΅Π½Π° Π²ΠΎ 2021 Π³ΠΎΠ΄ΠΈΠ½Π° ΠΈ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠ°Π½Π° Π΄ΠΎ 2030 Π³ΠΎΠ΄ΠΈΠ½Π° Π΅ ΡΠΎΠΊΡΡΠΈΡΠ°Π½Π° Π½Π°: ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΡΠ° Π½Π° Π·Π΄ΡΠ°Π²ΡΡΠ²Π΅Π½Π°ΡΠ° Π·Π°ΡΡΠΈΡΠ°, (ΠΊΠ²Π°Π»ΠΈΡΠ΅Ρ, ΠΏΠ»Π°Π½ΠΈΡΠ°ΡΠ΅ ΠΈ ΡΠΎΠ²Π΅ΡΠΊΠΈ ΡΠ΅ΡΡΡΡΠΈ), ΡΠΈΠ½Π°Π½ΡΠΈΡΠ°ΡΠ΅ ΠΈ ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΡΠΊΠΈ ΡΡΠ»ΡΠ³ΠΈ. ΠΠΌΠ°ΡΡΠΈ Π³ΠΎ ΠΏΡΠ΅Π΄Π²ΠΈΠ΄ ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠΎΡ ΠΏΡΠΈΠΎΡΠΈΡΠ΅Ρ, Π΄Π΅ΡΠΈΠ½ΠΈΡΠ°Π½ΠΈ ΡΠ΅ ΠΎΠΏΡΡΠΈΡΠ΅ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΈ Π·Π° Π²ΠΎΡΠΏΠΎΡΡΠ°Π²ΡΠ²Π°ΡΠ΅ ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΡΠΊΠΈ ΡΡΠ»ΡΠ³ΠΈ, ΠΊΠ°ΠΊΠΎ ΠΈ ΡΠ»ΠΎΠ³Π°ΡΠ° Π½Π° ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΠΈΡΠ΅ Π²ΠΎ ΡΠ΅ΡΠ°ΠΏΠ΅Π²ΡΡΠΊΠΎΡΠΎ ΡΠΏΡΠ°Π²ΡΠ²Π°ΡΠ΅ ΡΠΎ Π»Π΅ΠΊΠΎΠ²ΠΈ, ΡΠ°ΠΌΠΎΠ»Π΅ΠΊΡΠ²Π°ΡΠ΅ΡΠΎ ΠΈ ΠΏΡΠΎΠΌΠΎΡΠΈΡΠ°ΡΠ° Π½Π° Π·Π΄ΡΠ°Π²ΡΠ΅ΡΠΎ. Π¦Π΅Π»ΡΠ° Π΅ Π΄Π° ΡΠ΅ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΡΠ²Π°Π°Ρ ΠΊΠ²Π°Π»ΠΈΡΠ΅ΡΠΎΡ ΠΈ ΡΡΠ°Π½Π΄Π°ΡΠ΄ΠΈΡΠ΅ Π½Π° Π±ΠΎΠ»Π½ΠΈΡΠΊΠ°ΡΠ° ΡΠ°ΡΠΌΠ°ΡΠΈΡΠ° Π²ΡΠ· ΠΎΡΠ½ΠΎΠ²Π° Π½Π° ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΡΠΊΠ°ΡΠ° Π½Π΅Π³Π° ΠΈ ΡΡΠ»ΡΠ³ΠΈ Π²ΠΎ Π±ΠΎΠ»Π½ΠΈΡΠΊΠΈΡΠ΅ Π°ΠΏΡΠ΅ΠΊΠΈ Π²ΠΎ Π Π΅ΠΏΡΠ±Π»ΠΈΠΊΠ° Π‘Π΅Π²Π΅ΡΠ½Π° ΠΠ°ΠΊΠ΅Π΄ΠΎΠ½ΠΈΡΠ°. ΠΠ° ΡΠ°Π° ΡΠ΅Π» Π±Π΅ΡΠ΅ ΠΏΠΎΠ΄Π³ΠΎΡΠ²Π΅Π½ ΡΡΡΡΠΊΡΡΡΠΈΡΠ°Π½ ΠΏΡΠ°ΡΠ°Π»Π½ΠΈΠΊ ΠΈ ΠΈΡΡΠΈΠΎΡ Π±Π΅ΡΠ΅ Π΄ΠΎΡΡΠ°Π²Π΅Π½ ΠΏΠΎ Π΅Π»Π΅ΠΊΡΡΠΎΠ½ΡΠΊΠΈ ΠΏΠ°Ρ, ΠΏΠΎ ΠΏΠΎΡΡΠ° ΠΈ/ΠΈΠ»ΠΈ Π΄ΠΈΡΠ΅ΠΊΡΠ½ΠΎ Π΄ΠΎ ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΠΈΡΠ΅ ΠΎΠ΄ 15 Π±ΠΎΠ»Π½ΠΈΡΠΊΠΈ Π°ΠΏΡΠ΅ΠΊΠΈ, ΠΎΠ΄ ΠΊΠΎΠΈ 11 Π±Π΅Π° ΡΠ΅Π½ΡΡΠ°Π»Π½ΠΈ ΠΈ 4 ΠΎΠ΄ ΡΠ΅ΡΡΠΈΠ΅ΡΠ½Π° Π·Π΄ΡΠ°Π²ΡΡΠ²Π΅Π½Π° Π·Π°ΡΡΠΈΡΠ°. ΠΡΠ°ΡΠ°Π»Π½ΠΈΠΊΠΎΡ Π±Π΅ΡΠ΅ ΡΠ°ΡΠΏΠΎΡΠ΅Π΄Π΅Π½ Π²ΠΎ Π½Π΅ΠΊΠΎΠ»ΠΊΡ Π΄Π΅Π»Π° ΠΈ ΡΠΎΠ°: ΠΏΡΠΈΡΡΠ°ΠΏ Π΄ΠΎ ΠΏΠΎΠ΄Π°ΡΠΎΡΠΈΡΠ΅ Π·Π° ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΡ ΠΈ ΡΠ»ΠΎΠ³Π°ΡΠ° Π½Π° ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΠΎΡ Π²ΠΎ ΡΠ΅ΡΠ°ΠΏΠ΅Π²ΡΡΠΊΠΎΡΠΎ ΡΠΏΡΠ°Π²ΡΠ²Π°ΡΠ΅ ΡΠΎ Π»Π΅ΠΊΠΎΠ²ΠΈ, ΠΏΡΠΈΡΡΠ°ΠΏ Π΄ΠΎ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈΡΠ΅ Π·Π° Π»Π΅ΠΊΠΎΠ²ΠΈ, Π΄ΠΎΡΡΠ°ΠΏΠ½ΠΎΡΡ ΠΈ ΠΊΠΎΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΡΠ° ΡΠΎ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠ²Π½ΠΈΡΠ΅ ΡΠ΅Π½ΡΡΠΈ Π·Π° Π»Π΅ΠΊΠΎΠ²ΠΈ, ΠΊΠΎΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΡΠ° ΡΠΎ ΡΠ΅Π½ΡΠ°ΡΠΎΡ Π·Π° Π½Π΅ΡΠ°ΠΊΠ°Π½ΠΈ ΡΠ΅Π°ΠΊΡΠΈΠΈ, ΠΊΠΎΠΌΠΏΠ΅ΡΠ΅Π½ΡΠ½ΠΎΡΡ Π½Π° ΠΏΠ΅ΡΡΠΎΠ½Π°Π»ΠΎΡ, ΠΊΠΎΠ½ΡΠΈΠ½ΡΠΈΡΠ°Π½Π° Π΅Π΄ΡΠΊΠ°ΡΠΈΡΠ° ΠΈ ΠΏΡΠΎΡΠ΅ΡΠΈΠΎΠ½Π°Π»Π΅Π½ ΡΠ°Π·Π²ΠΎΡ. ΠΡΠ°ΡΠ°ΡΠ°ΡΠ° Π±Π΅Π° ΠΎΠ΄Π³ΠΎΠ²ΠΎΡΠ΅Π½ΠΈ ΡΠΎ Π²Π½Π΅ΡΡΠ²Π°ΡΠ΅ Π½Π° Π΅Π΄Π½Π° ΠΎΠ΄ ΡΡΠΈΡΠ΅ ΠΎΠΏΡΠΈΠΈ: Π (ΠΈΠΌΠΏΠ»Π΅ΠΌΠ΅Π½ΡΠΈΡΠ°Π½Π°), Π (Π΄Π΅Π»ΡΠΌΠ½ΠΎ ΠΈΠΌΠΏΠ»Π΅ΠΌΠ΅Π½ΡΠΈΡΠ°Π½Π°) ΠΈ Π (Π½Π΅ ΠΈΠΌΠΏΠ»Π΅ΠΌΠ΅Π½ΡΠΈΡΠ°Π½Π°). ΠΡΠ· ΠΎΡΠ½ΠΎΠ²Π° Π½Π° ΡΠ΅Π·ΡΠ»ΡΠ°ΡΠΈΡΠ΅ Π΄ΠΎΠ±ΠΈΠ΅Π½ΠΈ ΠΎΠ΄ ΠΏΡΠ°ΡΠ°Π»Π½ΠΈΠΊΠΎΡ ΠΊΠΎΠΈ ΡΠΊΠ°ΠΆΡΠ²Π°Π°Ρ Π½Π° Π΄Π΅Π»ΡΠΌΠ½ΠΎ ΡΠΏΡΠΎΠ²Π΅Π΄ΡΠ²Π°ΡΠ΅ Π½Π° Π΄ΠΎΠ±ΡΠ°ΡΠ° ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΡΠΊΠ° ΠΏΡΠ°ΠΊΡΠ° ΠΈ ΡΠ°ΡΠΌΠ°ΡΠ΅Π²ΡΡΠΊΠ° Π³ΡΠΈΠΆΠ° Π²ΠΎ Π±ΠΎΠ»Π½ΠΈΡΠΊΠΈΡΠ΅ Π°ΠΏΡΠ΅ΠΊΠΈ, Π΅Π²ΠΈΠ΄Π΅Π½ΡΠ½Π° Π΅ ΠΏΠΎΡΡΠ΅Π±Π°ΡΠ° ΠΎΠ΄ ΠΏΠΎΠ΄ΠΎΠ±ΡΡΠ²Π°ΡΠ΅ Π½Π° Π±ΠΎΠ»Π½ΠΈΡΠΊΠ°ΡΠ° ΡΠ°ΡΠΌΠ°ΡΠΈΡΠ°, ΠΎΡΠΎΠ±Π΅Π½ΠΎ Π²ΠΎ Π΄ΠΎΠΌΠ΅Π½ΠΎΡ ΡΠΎ Π΅Π΄ΡΠΊΠ°ΡΠΈΡΠ° ΠΈ ΡΠΎΠ²Π΅ΡΡΠ²Π°ΡΠ΅ Π½Π° ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΈΡΠ΅
STEM Approach in Teaching Mathematics
Mathematics appears as essential subject in many academic studies. But students usually find math as difficult, and moreover consider its content as useless, thus avoid such studies. This is a reason for changing traditional approach in teaching mathematics and develop new one, which will emphasize problem-based learning. We will consider in this paper STEM approach in teaching mathematics
Modeling, Analysis and Simulation of Tuberculosis
Tuberculosis (noted as TB) is a highly contagious disease caused by Mycobacterium
tuberculosis that throughout history has caused a lot of deaths. The analysis of TB
is through mathematical models with differential equations describing the dynamics of epidemic spread and its control and prevention. In this paper SEIR+D model of TB will be represented. According to this model the total population is divided into five compartments: susceptible, exposed, infected, recovered and death. In this paper an evaluation of rates (transmission rate, incubation rate etc.) at which individuals flow from one compartment to another under different scenarios will be represented
Products of distributions in Colombeau Algebra-FMNS 2023
We evaluate some products of distributions in Colombeau algebra of generalized functions. In the classical theory of Schwartz distributions, multiplication of distributions is not defined for two arbitrary singular distributions. The properties of the Colombeau alegebra allow us to calculate products of singular distributions which are not defined in the classical theory. The notion of association in Colombeau algebra of generalized functions allows us the results obtained in this way to be considered as products in the classical theory of distributions. The definition of the Colombeau product of distributions can be considered as generalization of their classical product in Schwartz theory
Pharmacoeconomic analysis of parenteral therapy consumption in hospital pharmacy at Clinical Hospital β Stip
Improper management of drugs and medical
devices is a complex problem at all health care levels.
A study conducted in 2016 in which were included 35
hospitals in Poland (Religioni, 2016), was the basis for
developing a drug management system. This study
showed that most managers, including pharmacists
(62.86%) have no knowledge for the principles of drug
management optimization. Only 20% of them used
pharmacoeconomic analysis and 25% did not use any
analysis. 77% of the respondents selected the drugs
based on the lowest price
ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ° Π·Π° I Π³ΠΎΠ΄ΠΈΠ½Π° ΡΡΠ΅Π΄Π½ΠΎ ΡΡΡΡΡΠ½ΠΎ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π‘ΡΡΡΠΊΠΈ: ΠΠ΅ΠΎΠ»ΠΎΡΠΊΠΎ-ΡΡΠ΄Π°ΡΡΠΊΠ° ΠΈ ΠΌΠ΅ΡΠ°Π»ΡΡΡΠΊΠ°, ΠΡΠ°Π΄Π΅ΠΆΠ½ΠΎ-Π³Π΅ΠΎΠ΄Π΅ΡΡΠΊΠ°, ΠΡΠ°ΡΠΈΡΠΊΠ°, ΠΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΎ-ΠΏΡΠ°Π²Π½Π° ΠΈ ΡΡΠ³ΠΎΠ²ΡΠΊΠ°, ΠΠ»Π΅ΠΊΡΡΠΎΡΠ΅Ρ Π½ΠΈΡΠΊΠ°, ΠΠΈΡΠ½ΠΈ ΡΡΠ»ΡΠ³ΠΈ, ΠΠ°ΡΠΈΠ½ΡΠΊΠ°, Π‘ΠΎΠΎΠ±ΡΠ°ΡΠ°ΡΠ½Π°, Π’Π΅ΠΊΡΡΠΈΠ»Π½ΠΎ-ΠΊΠΎΠΆΠ°ΡΡΠΊΠ°, Π£Π³ΠΎΡΡΠΈΡΠ΅Π»ΡΠΊΠΎ-ΡΡΡΠΈΡΡΠΈΡΠΊΠ°, Π₯Π΅ΠΌΠΈΡΠΊΠΎ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΡΠΊΠ°
ΠΠ²ΠΎΡ ΡΡΠ΅Π±Π½ΠΈΠΊ Π΅ Π½Π°ΠΌΠ΅Π½Π΅Ρ ΠΏΡΠ΅Π΄ ΡΓ¨ Π·Π° ΡΡΠ΅Π½ΠΈΡΠΈΡΠ΅ ΠΎΠ΄ ΡΡΠ΅Π΄Π½ΠΈΡΠ΅ ΡΡΡΡΡΠ½ΠΈ ΡΡΠΈΠ»ΠΈΡΡΠ° Π²ΠΎ
Π Π΅ΠΏΡΠ±Π»ΠΈΠΊΠ° Π‘Π΅Π²Π΅ΡΠ½Π° ΠΠ°ΠΊΠ΅Π΄ΠΎΠ½ΠΈΡΠ° Π²ΠΎ ΠΊΠΎΠΈ ΡΠ΅ ΠΈΠ·ΡΡΡΠ²Π°Π°Ρ ΡΡΡΡΠΊΠΈΡΠ΅: Π³Π΅ΠΎΠ»ΠΎΡΠΊΠΎ β ΡΡΠ΄Π°ΡΡΠΊΠ° ΠΈ
ΠΌΠ΅ΡΠ°Π»ΡΡΡΠΊΠ°, Π³ΡΠ°Π΄Π΅ΠΆΠ½ΠΎ β Π³Π΅ΠΎΠ΄Π΅ΡΡΠΊΠ°, Π³ΡΠ°ΡΠΈΡΠΊΠ°, Π΅ΠΊΠΎΠ½ΠΎΠΌΡΠΊΠΎ β ΠΏΡΠ°Π²Π½Π° ΠΈ ΡΡΠ³ΠΎΠ²ΡΠΊΠ°,
Π΅Π»Π΅ΠΊΡΡΠΎΡΠ΅Ρ
Π½ΠΈΡΠΊΠ°, ΠΌΠ°ΡΠΈΠ½ΡΠΊΠ°, ΡΠΎΠΎΠ±ΡΠ°ΡΠ°ΡΠ½Π°, ΡΠ³ΠΎΡΡΠΈΡΠ΅Π»ΡΠΊΠΎ β ΡΡΡΠΈΡΡΠΈΡΠΊΠ°, ΡΠ΅ΠΊΡΡΠΈΠ»Π½ΠΎ β ΠΊΠΎΠΆΠ°ΡΡΠΊΠ°,
Ρ
Π΅ΠΌΠΈΡΠΊΠΎ - ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΡΠΊΠ° ΠΈ Π΄ΡΡΠ³ΠΈ, ΠΊΠ°ΠΊΠΎ ΠΎΡΠ½ΠΎΠ²Π΅Π½ ΡΡΠ΅Π±Π½ΠΈΠΊ ΠΏΠΎ ΠΏΡΠ΅Π΄ΠΌΠ΅ΡΠΎΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ°, Π½ΠΎ ΠΈΡΡΠ°ΡΠ°
ΠΌΠΎΠΆΠ΅ Π΄Π° ΠΏΠΎΡΠ»ΡΠΆΠΈ ΠΊΠ°ΠΊΠΎ ΠΎΠ΄Π»ΠΈΡΠ½Π° Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ° Π·Π° ΡΠ΅ΠΊΠΎΡ ΡΡΠΎ ΡΠ°ΠΊΠ° Π΄Π° Π³ΠΈ ΠΈΠ·ΡΡΡΠ²Π° ΠΌΠΎΠ΄ΡΠ»Π°ΡΠ½ΠΈΡΠ΅
Π΅Π΄ΠΈΠ½ΠΈΡΠΈ ΠΎΠΏΡΠ°ΡΠ΅Π½ΠΈ Π²ΠΎ ΠΊΠ½ΠΈΠ³Π°ΡΠ°
Can ChatGPT be used for solving ordinary differential equations
In this research we have conducted an empirical study to evaluate the
capabilities of OpenAIβs chat bot ChatGPT for automated software code generation and
programming numerical methods for solving various types of differential equations. We
have tested the ChatGPT for analytical as well as numerical solution of the first and
second order ordinary differential equations. The obtained results suggest that ChatGPT
is a promising AI tool for programming numerical algorithms and solving differential
equations. However, there are still some limitations and challenges of using AI for
numerical solution generation, related to the potential biases in the algorithm, as well as
the need for a large amount of high-quality training data. However, as AI technology
continues to develop, it is likely that the use of AI for programming will become more
prevalent and effective in the future
Using ChatGPT for Numerical Solution of First and Second Order Ordinary Differential Equations
Considering the existing theories for learning or development of mathematical knowledge on specific subjects and following the latest development in the field of Artificial intelligence (AI), especially the public availability of ChatGPT, we decided to evaluate its capabilities for numerical solution of ordinary differential equations (ODE) from multiple aspects such as: Conceptual Understanding, Procedural Proficiency, Problem Solving and Application in Real-world Contexts. For the purpose of this research custom methodology based on specific indicators was developed. Obtained results suggest that ChatGPT is a promising AI tool for numerical solution of ODEs as well as for programming code generation. However, there are still some limitations and challenges when using AI for numerical solution generation, such as the need for large amounts of high-quality training data, potential biases in the algorithm, and the ability to explain how the algorithm came up with its output. This is especially valid for more complex problems
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