BACKGROUND: Despite the apparent advantages of the flipped classroom model especially during a pandemic or natural or technogenic disasters, its overall effectiveness in higher medical and pharmaceutical education continues to be debated. AIM: The goal of the study was to test the effectiveness and acceptability of using the flipped classroom model during the COVID-19 pandemic in higher pharmaceutical education based on the example of the “Pharmaceutical Marketing” discipline at Sechenov First Moscow State Medical University, Russia. METHODS: The study involved 156 fourth-year pharmacy students. They were divided into three clusters: FC – studying in accordance with the flipped classroom model, FC+TBL – using the flipped classroom technology combined with the team-based method, and CC – studying by the traditional scheme (control). The study used the Unified educational portal of the Sechenov University. Additional elements were developed for the electronic educational and methodical complex for the studied section “Analysis of the marketing environment of a pharmaceutical organization.” The effectiveness of the flipped classroom model was evaluated through test control (entrance, formative, thematic, and final) and control of the development of skills and abilities in solving situational problems (thematic and final). The study participants’ attitude toward the use of the flipped classroom model was assessed through a survey. RESULTS: The study demonstrated that students from the FC and FC+TBL clusters were significantly better prepared for practical lessons and worked more effectively and productively during these classes compared to the CC cluster students. The results of the final control also substantiate the advantages of the flipped classroom technology both in assessing practical skills and abilities and in testing. The opportunities for rational implementation of the complex technology (FC+TBL cluster) are identified. CONCLUSIONS: The analysis of students’ general opinion on the flipped classroom model shows that 90.4% of the FC cluster members and 84.6% of the FC+TBL cluster members are satisfied with the results of using this model and consider it suitable for studying both the “Analysis of the marketing environment of a pharmaceutical organization” section and the entire pharmaceutical marketing course. Students’ positive feedback on the use of the flipped classroom model provides grounds for further implementation of this technology in the “Pharmaceutical Marketing” discipline in its entirety and demonstrates that further research on the use of other blended learning models is quite promising.

Background. Hamstring muscle injuries are among the most common traumas occurring in athletes and football players. Thus, the rehabilitation time is crucial for their return to full athlete activity. Objective. Knee active range of motion deficit after the hamstring injury in futsal players correlates with rehabilitation time. The objective is to examine cases of hamstring structural injury in futsal players and find association between the Active Range of Motion (AROM) deficit and rehabilitation time. Methods. For this study, 200 futsal players with acute, first-time, unilateral posterior hamstring injuries were recruited, all men. All patients underwent clinical examination and ultrasonography. In 74 of 200 patients, sonography revealed no abnormalities in the musculoligamentary structures. Thereby, they were excluded from further investigation. Only 126 futsal players underwent the active range of motion testing. Injured areas were compared with the normal hamstrings in all athletes and with the control group. The AROM deficit was evaluated. The association between time to full recovery and the AROM deficit was identified. A control group (100 men) underwent examination in the same series of steps as the study group. Results. Biceps femoris was the most commonly injured muscle, making up 80% of injuries. The musculotendinous junction, proximal and distal, was involved in 91% of injury cases. Twelve athletes had an AROM deficit of 26 to 35 degrees. For them, the average length of the recovery period was 2.5 months at its minimum. Seventy or 55.5% of athletes had an AROM deficit less than 15 degrees. These athletes felt fully recovered after 3-4 weeks of rehabilitation. Conclusions: The active range of knee movement deficiency is an indicator that allows an objective prediction of rehabilitation time in futsal players.

This article presents the results of studies devoted to assessing the survival of students' knowledge, regardless of their basic training. The study was conducted based on two groups of specialists, recertified under the program "Pharmacy management and economics" at the Pharmacy Department of Sechenov First Moscow State Medical University. Some of the specialists of the experimental groups had been previously trained at the Pharmacy Department of Sechenov First Moscow State Medical University in 2012-2013 using a new developed didactic tool named "Activity Book". According to the results obtained, the skills acquired by the specialists trained using on "Activity Book" in 2012-2013, were characterized by higher "survivability".

International trade allows countries to expand their markets and access goods and services that otherwise may not have been domestically available. As a result of international trade, the market is more competitive. This ultimately results in more competitive pricing and brings a cheaper product home to the consumer. The development of mathematical models to optimize the delivery of goods using a limited number of trucks is an urgent task for researchers around the world. The research goal was to use a developed mathematical model that allows one to optimize the performance of transportation tasks based on the selected parameters, both in terms of a particular truck and a fleet of trucks in the Russian region. The parameters (function, condition, cost, time, and quality) were set and an algorithm for the process of matching a specific truck and cargo was developed as part of the unit transportation task. A mathematical model has been developed for performing multiple freight tasks and operating a fleet of trucks, which considering such factors as cost, time, quality, and reputation, allows one to find an acceptable solution for a specific transportation task. A mathematical model was developed that considers such factors as cost, time, quality, and reputation, allowing one to find an acceptable solution for a particular transportation task. The simulation was performed in MATLAB 2018. The parameters of the simulations were a population size of 300, a maximum number of iterations of 2000, and a probability of selection of 0.85. From the 30 runs, the optional value was chosen as the best solution. The developed mathematical models have been tested for solving single and multiple transport problems under truck fleet simulation conditions. The results of the work can be used to optimize the operation of truck fleets in the Russian Federation and other countries.

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