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The seasonal temperature forecasting models in greenhouse based on multiple regression (MR), BP artificial neural networks (BPANN), random forest (RF) and support vector machine (SVM) were constructed using meteorological observations inside and outside the Venlo-type glass greenhouses from 27th February 2021 to 4th March 2023 at Nanjing University of Information Science & Technology, and then to validate all the models. The results showed that the fitting accuracy of the seasonal forecasting models for daily average and minimum air temperatures in the greenhouse was significantly higher than that of the seasonal forecasting models for daily maximum air temperature; the fitting accuracy of each model for air temperature inside the greenhouse in spring, summer and autumn was higher than that for winter. For the seasonal forecasting models of daily average air temperature and minimum air temperature, the fitting accuracy of the spring, summer and autumn forecasting models constructed by the four algorithms was higher, but the simulation effect of the RF model was more stable, and the coefficient of determination (R²) of the simulated values and the actual observed values were above 0.94, and the root mean square error (RMSE) and absolute error (MAE) were within 1.5 °C. For the seasonal forecast models of daily maximum temperature, the fitting accuracy of RF model for spring, summer and autumn was higher than other models in general, and its R² value was above 0.75. The MR model had higher accuracy for winter indoor air temperature and was more suitable for predicting winter greenhouse air temperature. The study concluded that it is feasible to choose the RF model to forecast the air temperature inside the glass greenhouse in spring, summer and autumn and the MR model to forecast the air temperature inside the glass greenhouse in winter, and this study can provide an important reference for the seasonal forecast of air temperature in Venlo-type glass greenhouse. [ABSTRACT FROM AUTHOR]

This paper presented a supplier bidding strategy model for multi-attribute reverse auction to get the optimal bidding strategy of the target supplier for the next round in the multi-attribute combinatorial bidding process. Considering the bidding strategy of competitive vendors and winner determination rules, the model combined the solving procedure of ABCA and the decision-making process of the target suppliers. It used ABCA to search the optimal strategy of the target supplier for the next round of bids with the analysis of the competitive vendors' cost function. The simulation result shows that this model can effectively find out the optimal bidding strategy of the target supplier in the dynamic bidding process. [ABSTRACT FROM AUTHOR]

Objective: To analyze the inhibition effect of yam extracts on α-glucosidase and to explore the potential treatment and prevention effects of yam on type 2 diabetes. Methods: Yam was extracted in hot water using the solid-liquid ratio of 1:5 at temperature 90 C for 2 hours. Then the aqueous extracts of yam were acquired after ultrafiltration. An effective α-glucosidase activity detection system was established to detect the inhibition effects of yam extracts according to the degradation of α-glucosidase on starch. Finally, Bioinformatics analysis system was build between interaction of proteins and small molecules. And effective yam polysaccharide components were screened. Results: Yam extracts can inhibit α-glucosidase activity by more than 46%, and the IC50 value was 1.9g/ml. Conclusion: Yam could be used as one of the medicinal and edible plants for type 2 diabetes patients, which provides a new opportunity for high-risk type 2 diabetes population to choose suitable dietary pattern. [ABSTRACT FROM AUTHOR]

According to the diversified and interrelated characteristics of arts, in the process of laboratory management the authors put forward a new idea of constructing an experiment center for arts of sustainable development which has the characteristics of professional combination, resource sharing and integration of teaching and studying. The application of this idea in experiment center construction and management has achieved a series of remarkable results. Students have improved their professional quality and practice ability of the students through the integration of teaching resources. By reforming the operation mechanism of the experiment center, its sustainable capability is greatly improved. The teaching system of the arts is professionally promoted, the teaching content is refined and the teaching methods are advanced. The mode of opening laboratory management has fully aroused the students' initiative and enthusiasm to experiment. The establishment of the experiment center and the off-campus training base has created a superb teaching and research environment for teachers and students. It helps them to communicate with the world and offer them a way to serve the society. [ABSTRACT FROM AUTHOR]

The threshold-minimum dominating set problem in graph theory is a NP-hard problem in combinatorial optimization, which is essentially an extension of the minimum dominant set problem. This paper studies the threshold-minimum dominating set problem for the given undirected graph G = V, E) and threshold value r. Firstly, some mathematical properties and corresponding proof are studied, and these properties can be used to reduce the size of the given problem, thereby reducing the difficulty of the problem solving. Secondly, the upper and lower bound sub-algorithms and the reduced order subalgorithm are designed. Based on these sub-algorithms, a backtracking algorithm with reduction(BAR) is proposed, which can reduce the problem size and get the optimal solution. Finally, an example analysis and some random examples verifies that the algorithm can effectively reduce the difficulty of problem-solving. [ABSTRACT FROM AUTHOR]

The aim of the experiment was to study the suitable mixing method of hybrid Pennisetum and different forage in different proportions. Lablab purpureus, Amaranthus hypochondriacus and Sorghum bicolor were selected as mixed objects, and the mixing ratios were 80 : 20, 70 : 30 and 60 : 40, respectively, according to the fresh weight of raw materials. After 45 d of silage, sensory evaluation, nutrient composition analysis, fermentation quality analysis and kaiser score were performed. The results showed that mixing hybrid Pennisetum and Lablab purpureus at the ratio of 80 : 20 and 70 : 30 could significantly increased the content of CP, NDF, ADF, WSC and RFV of silage (P<0.05). Mixing hybrid Pennisetum with Sorghum bicolor at the ratio of 70 : 30 could significantly decreasedthe content of acetic acid and butyric acid and improve the fermentation quality of silage (P<0.05). The pH value and acetic acid content of mixed silage of hybrid Pennisetum and Amaranthus hypochondriacus were increased which could not improve the fermentation quality of silage. The study indicates that the optimum mixing ensilage ratio of hybrid Pennisetum and Lablab purpureus is 80 : 20 and 70 : 30, and the optimum mixing ensilage ratio of hybrid Pennisetum with Sorghum bicolor is 70 : 30. [ABSTRACT FROM AUTHOR]

This paper studied minimum ratio traveling salesman problem (MRTSP), which objective function was the ratio between the total distances and total benefits, and presented a discrete bat algorithm for solving MRTSP. In this improved bat algorithm, on the one hand, it redefined the subtraction operator of location and location, the multiplication operator of real number and location, and the addition operator of velocity and location. On the other hand, it introduced the reversing the city subsequence in order to perform the route's local search. The experimental results show that this improved bat algorithm is feasible and can effectively solve the MRTSP instances. [ABSTRACT FROM AUTHOR]

The bat algorithm is a new type of the swarm intelligence algorithm. The traditional bat algorithm is easily trapped in the local optimum and has premature convergence in solving the integer programming problem. In order to solve the disadvantages, aquantum-behaved bat algorithm is proposed, which is based on the potential well. The principle of the optimization algorithm is discussed and its implementation is presented. The performance of the proposed quantum-behaved bat algorithm is compared with that of particle swarm optimization and quantum-behaved particle swarm optimization. The experimental results show that the proposal can handle integer programming efficiently and outperform other algorithms. [ABSTRACT FROM AUTHOR]

This paper proposed cellular bat algorithm to solve 0-1 programming problem, which was based on the principles of cellular automata and bat algorithm. It used cellular and its neighbor to enhance the diversity of the searching process to improve the ability of global optimization, and transformed the constrained problem into the unconstrained problem using penalty function and then described the detailed procedures of the algorithm and programmed with MATLAB software. By some 0-1 programming problem test and comparisons with other algorithms, the results show that cellular bat algorithm has fast convergence speed and better global optimization ability. It can be used as a practical approach to solve 0-1 programming problem. [ABSTRACT FROM AUTHOR]