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Course scheduling is a combinatorial optimization problem with multiple constraints. To achieve the reasonable allocation of teaching resources, all courses should be arranged under a number of specified constraints. With the increased number of courses, the solution space increases exponentially. However, the traditional methods cannot quickly find the optimal solution. In order to overcome the disadvantages of low efficiency and the possibility of high conflict in traditional course scheduling, this research study proposes a course scheduling, method based on an improved binary cuckoo search algorithm (IBCS). First of all, a multi-objective and multi-constraint mathematical model of course scheduling is established. Course scheduling involves issues, such as allocating teachers, courses, classes, classrooms and time under specific constraints. The class element is defined to represent the class and the course that the teachers will teach. Therefore, the problem of course scheduling is transformed into the process of mapping from the class element to the classroom-time pair. Six hard constraints and three soft constraints are also defined accordingly. Then, the BCS algorithm is used to search the best course scheduling scheme in the binary-encoded solution space. In order to control the convergence rate effectively and avoid falling into the local optimum, a dynamically adjustable, equilibrium coefficient is introduced. Therefore, the algorithm retains the diversity of the solutions while converging. Finally, this research study constructs the data set and carries out the simulation experiment. It also compares the IBCS algorithm in this paper with the genetic algorithm and the standard binary cuckoo search algorithm (BCS). Experimental results show that the IBCS algorithm can converge in effective time. Meanwhile, it can achieve an improved global scheduling scheme with higher stability. [ABSTRACT FROM AUTHOR]

Based on economic and social indicators and water resources data of Guangdong Province from 2006 to 2018, the Gini coefficient and the equilibrium coefficient of coordinated development are used to research the spatial equilibrium of water resources by constructing a calculation model of water resource load index, matching coefficient of water and soil resources, and water resource benefit index. In 2018, the water resources load index of Guangdong Province was 4. 0 in grade III, which is a medium level of development and utilization. The water resources load gap was very different from city to city with the highest Gini coefficient of 0. 79. It was expressed in areas with large economic aggregates, dense populations, and relatively insufficient water resources, which have a high degree of development and utilization and low potential. The water resources load index shows an increasing trend year by year, with the Gini coefficient between 0. 7 and 0. 8. The matching coefficient of water and soil resources in Guangdong was 8. 3, with the Gini coefficient of 0. 69, indicating the spatial distribution of the matching degree in water and soil resources in each city was quite different. The GDP output value per cubic meter of water was 240 Yuan in RMB, with the Gini coefficient of 0. 47, which was 22 times higher in the cities with the greatest water efficiency than in those with the smallest. The average value of the spatial equilibrium coefficient of water resources in the province was 0. 79 from 2006 to 2018, indicating that the spatial equilibrium level of water resources in Guangdong province was level IV, which was a moderate imbalance. [ABSTRACT FROM AUTHOR]

In order to solve the problem that there are many restrictions on the source domain and the target domain in the process of Bayesian network parameter transfer， a unified framework based on Bayesian network parameter transfer learning was proposed under the condition of considering multiple information forms of source domain and target domain. The method considers the role of source domain structure and data volume in the migration. On the basis of structural similarity， the influence of alternative source domain data volume on parameter migration was discussed. The balance coefficient related to the target domain data was introduced in the migration process. According to the balance coefficient， the target domain data was linked with the migration process to realize the automatic adjustment of the balance coefficient. The Asia network verifies the accuracy of the method in this paper. [ABSTRACT FROM AUTHOR]

The paper reviews different approaches to quality of life measurement used in Russian and international statistics. It outlines the essence of J. Stiglitz’s recommendations on development of quality of life statistical indicators, analyses proposals and practical application of innovative approaches of quality of life measurement by the French National Institute for Statistics and Economic Studies (INSEE). The paper reviews Rosstat’s (Russian Federal State Statistics Service) new research as well as an independent research in the area of quality of life research. The authors make proposals to extend the list of aspects analyzed an quality of life research and underline the importance of such a review through regional specifics. They suggest extending the system of quality of life statistical indicators by certain coefficients characterizing economic development disparity and its influence on the quality of life.

Osmotic dehydration kinetics of potato slices and cubes was studied using sugar syrup of different concentrations and temperatures. The initial concentration of sucrose was varied from 30 to 65%, and temperature was varied from 22 to 80°C. The equilibrium coefficients for solids ranged from 0.84 to 1.55, and for water it ranged from 0.70 to 1.05. The equilibrium coefficient for solids increased with the increase in temperature while it decreased with the increase in syrup concentration. However, the equilibrium coefficient for water decreased with increasing temperature and it increased with the increase in syrup concentration. A multiple regression analysis of experimental data was carried out to correlate equilibrium coefficients with dimensionless temperature and syrup concentration. [ABSTRACT FROM AUTHOR]