Banks in the economies of individual countries play the role of entities of public trust and are perceived as ＂too big to fail＂. In fact, they are exposed to risks associated with business operations. In practice, t...Banks in the economies of individual countries play the role of entities of public trust and are perceived as ＂too big to fail＂. In fact, they are exposed to risks associated with business operations. In practice, there are even instances of banks going bankrupt. Therefore, the reliability of the financial statements of a bank as a source of information about its financial condition is of particular importance. The main objective of creating IAS/IFRS and their implementation within the European Union is the strive to standardize accounting rules utilized by companies and other organizations. IFRS, as any other regulations, are subject to change over years. One of the recent changes is the introduction of IFRS 15 ＂Revenue from Contracts with Customers＂. In all entities using IAS/IFRS, communication of planned changes should involve disclosure ahead of time, regarding the analysis of their impact on the financial statements. The purpose of this paper has been to analyze whether the financial statements of banks contain any records on the impact of IFRS 15. These analyses are within the mainstream of studying how complete and prospective is the information contained in the financial statements for external users. The subjects for research are the consolidated financial statements of five major banks in Poland. As a result of research, it was found that in all studied cases, work on the implementation of IFRS 15 was observed. However, looking at every bank separately, a differentiated approach to presenting information on the standard is observed, which may be a hindrance for users of banks＇ financial statements.展开更多
An iterative optimization strategy for fed-batch fermentation process is presented by combining a run-to-run optimization with swarm energy conservation particle swarm optimization (SEC-PSO). SEC-PSO, which is designe...An iterative optimization strategy for fed-batch fermentation process is presented by combining a run-to-run optimization with swarm energy conservation particle swarm optimization (SEC-PSO). SEC-PSO, which is designed with the concept of energy conservation, can solve the problem of premature convergence frequently appeared in standard PSO algorithm by partitioning its population into several sub-swarms according to the energy of the swarm and is used in the optimization strategy for parameter identification and operation condition optimization. The run-to-run optimization exploits the repetitive nature of fed-batch processes in order to deal with the optimal problems of fed-batch fermentation process with inaccurate process model and unsteady process state. The kinetic model parameters, used in the operation condition optimization of the next run, are adjusted by calculating time-series data obtained from real fed-batch process in the run-to-run optimization. The simulation results show that the strategy can adjust its kinetic model dynamically and overcome the instability of fed-batch process effectively. Run-to-run strategy with SEC-PSO provides an effective method for optimization of fed-batch fermentation process.展开更多
Network and equation-based （EB） models are two prominent methods used in the study of epidemics. While EB models use a global approach to model aggregate population, net- work models focus on the behavior of individ...Network and equation-based （EB） models are two prominent methods used in the study of epidemics. While EB models use a global approach to model aggregate population, net- work models focus on the behavior of individuals in the population. The two approaches have been used in several areas of research, including finance, computer science, social science and epidemiology. In this study, epidemiology is used to contrast EB models with network models. The methods are based on the assumptions and properties of compartmental models. In EB models we solve a system of ordinary differential equations and in network models we simulate the spread of epidemics on contact networks using bond percolation. We examine the impact of network structures on the spread of infection by considering various networks, including Poisson, Erd3s R6nyi, Scale-free, and Watts- Strogatz small-world networks, and discuss how control measures can make use of the network structures. In addition, we simulate EB assumptions on Watts-Strogatz net- works to determine when the results are similar to that of EB models. As a case study, we use data from the 1918 Spanish flu pandemic and that from measles outbreak to validate our results.展开更多
文摘Banks in the economies of individual countries play the role of entities of public trust and are perceived as ＂too big to fail＂. In fact, they are exposed to risks associated with business operations. In practice, there are even instances of banks going bankrupt. Therefore, the reliability of the financial statements of a bank as a source of information about its financial condition is of particular importance. The main objective of creating IAS/IFRS and their implementation within the European Union is the strive to standardize accounting rules utilized by companies and other organizations. IFRS, as any other regulations, are subject to change over years. One of the recent changes is the introduction of IFRS 15 ＂Revenue from Contracts with Customers＂. In all entities using IAS/IFRS, communication of planned changes should involve disclosure ahead of time, regarding the analysis of their impact on the financial statements. The purpose of this paper has been to analyze whether the financial statements of banks contain any records on the impact of IFRS 15. These analyses are within the mainstream of studying how complete and prospective is the information contained in the financial statements for external users. The subjects for research are the consolidated financial statements of five major banks in Poland. As a result of research, it was found that in all studied cases, work on the implementation of IFRS 15 was observed. However, looking at every bank separately, a differentiated approach to presenting information on the standard is observed, which may be a hindrance for users of banks＇ financial statements.
基金Supported by the National Natural Science Foundation of China （20676013）
文摘An iterative optimization strategy for fed-batch fermentation process is presented by combining a run-to-run optimization with swarm energy conservation particle swarm optimization (SEC-PSO). SEC-PSO, which is designed with the concept of energy conservation, can solve the problem of premature convergence frequently appeared in standard PSO algorithm by partitioning its population into several sub-swarms according to the energy of the swarm and is used in the optimization strategy for parameter identification and operation condition optimization. The run-to-run optimization exploits the repetitive nature of fed-batch processes in order to deal with the optimal problems of fed-batch fermentation process with inaccurate process model and unsteady process state. The kinetic model parameters, used in the operation condition optimization of the next run, are adjusted by calculating time-series data obtained from real fed-batch process in the run-to-run optimization. The simulation results show that the strategy can adjust its kinetic model dynamically and overcome the instability of fed-batch process effectively. Run-to-run strategy with SEC-PSO provides an effective method for optimization of fed-batch fermentation process.
文摘Network and equation-based （EB） models are two prominent methods used in the study of epidemics. While EB models use a global approach to model aggregate population, net- work models focus on the behavior of individuals in the population. The two approaches have been used in several areas of research, including finance, computer science, social science and epidemiology. In this study, epidemiology is used to contrast EB models with network models. The methods are based on the assumptions and properties of compartmental models. In EB models we solve a system of ordinary differential equations and in network models we simulate the spread of epidemics on contact networks using bond percolation. We examine the impact of network structures on the spread of infection by considering various networks, including Poisson, Erd3s R6nyi, Scale-free, and Watts- Strogatz small-world networks, and discuss how control measures can make use of the network structures. In addition, we simulate EB assumptions on Watts-Strogatz net- works to determine when the results are similar to that of EB models. As a case study, we use data from the 1918 Spanish flu pandemic and that from measles outbreak to validate our results.
