In today’s competitive environment, organizations, in addition to trying to improve their production conditions, have a special focus on their supply chain components. Cooperation between supply chain members always reduces unforeseen costs and speeds up the response to customer demand. In the new situation, according to the category of return products and their reprocessing, supply chains have found a closed-loop structure. In this research, the aim was to design a closed-loop supply chain in competitive conditions. For this purpose, the key decisions of this chain included locating retail centers, adjusting the inventory of chain members, and selling prices of final products, optimally determined. For this purpose, a nonlinear integer mathematical model is presented. One of the most important innovations of this research was considering the variable value for return products. Then, in order to solve the proposed model, a whale optimization algorithm was developed. Numerical results from the sample examples showed that the whale algorithm had a very good performance in terms of response quality and speed-of-action in finding the optimal solution to this problem.
The belt and road initiative (BRI) is a comprehensive megaproject, which includes numerous projects in the sphere of green energy. The effectiveness of these projects is often doubted. The article reveals the main mechanisms of green energy projects' influence on the economy and through the research of 8 BRI countries demonstrates the method of green energy projects efficiency estimation. China is considered to be the main driver for green energy proliferation in Asia, receiving economic benefits through its policy. The authors prove this to be right, but the effects for PRC differ in short and long-run periods. The main findings of the paper are that the BRI green energy dissemination is just the first step to building a tightly interconnected Asian energy infrastructure, and that the BRI least developed countries have less positive long-run effects from green energy investment, while in short-term they get a boost for their economies.
Doppler backscattering (DBS) is a microwave diagnostics method typically used to study the plasma rotation velocity. Apart from conventional techniques, more advanced forms of DBS implementation were suggested on Globus-M. More specifically the study of a variety of oscillating processes was performed using DBS. In this review we present a detailed description of all of the methods and techniques employed in Globus-M alongside results obtained using DBS in all the years up until the shutdown of the tokamak. These include research similar to that done on other devices into the properties of such phenomena like geodesic acoustic modes or limit cycle oscillations, along with innovative works regarding the detection and investigation of Alfven eigenmodes and filaments that were the first of their kind and that provided important and novel results. Apart from that, the specific aspects of DBS application on a spherical tokamak are discussed. An in-depth look into the gradual change and improvement of the DBS diagnostics on Globus-M is also presented in this paper.
The purpose of the work is to reveal the influence of conical directing agents on the speed and trajectory of particles movement in the vertical pneumatic conduit of the sowing machine and to establish their rational parameters. With the help of numerical modeling the particle flight trajectories in the air flow were obtained. The carried out researches have shown expediency of application of the conical directing agent, allowing to take away a longitudinal stream of particles from walls of a pneumatic conduit and to centre their trajectories of movement along an axis of a pneumatic conduit. Particles are focused to the center of the distributor when the distributor covers the area of pneumatic conduit cross-section close to 25%.
The relationship between religious beliefs and coping with the stress of COVID-19', HTS Teologiese Studies/Theological Studies 77(1), a6487. https:// doi.org/10.4102/hts. v77i1.6487Recently, we have faced the outbreak of the coronavirus disease 2019 (COVID-19) in the world, which has attracted the attention of all people. Stress has become a word familiar to all people. The stressors of life are relatively clear and some of them cannot be eliminated by humans. One of the stressors in the life of humans is the COVID-19 pandemic. Doctors believe that the virus is controllable but its prevalence is quicker and deadlier than other viruses. In addition, the virus puts the elderly and those with underlying diseases (e.g. pulmonary problems) at extreme risk. Therefore, more care is seriously required to protect members of society. However, this psychological imbalance caused by the virus is associated with stress and anxiety. Lack of proper management of this stress will be associated with emotional impacts (e.g. depression and anxiety), physiological impacts (e.g. gastrointestinal disorders and increased heart rate), cognitive impacts (e.g. reduced concentration and distraction) and behavioural impact (e.g. increased work and activity avoidance, and sleep disorders).Contribution: Given the importance of this topic, this study aimed to evaluate the relationship between religious beliefs and coping with COVID-19-related stress amongst Muslim students in three cities of Russia -Ingushetia, Chechnya and the Republic of Dagestan -in 2020. Data were collected using questionnaires, the validity and reliability of which were previously confirmed. According to the results, religious beliefs had an impact on stress coping by p = 0.657. In other words, students' ability to cope with stress improved by 0.657 units, with each unit of enhancement in their religious beliefs.
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