The attention of dietary fiber has been increasing in recent years. Dietary fiber can regulate blood lipid, blood glucose and intestinal flora, prevent colon cancer and diabetes and plays an active role in promoting human health. The advantages and disadvantages of extraction methods including chemical, fermentation, enzymatic method and multi methods assisted at home and abroad were analyzed. The physicochemical properties of dietary fiber, functional properties and antioxidant capacity were summarized. The physicochemical properties of dietary fiber such as water holding, expansibility, fat and oil holding capacity, the functional properties of dietary fiber including adsorption of glucose, cholesterol, nitrite ion, sodium cholate, cation exchange, adsorption of heavy metals and antioxidant capacity such as DPPH radical and hydroxyl radical scavenging ability were studied，which provided theoretical basis for the development and application in health products and food.

In the post-epidemic era, virtual partners have become good helpers in home fitness. Previous studies have shown that different interactive feedback from virtual partners will have different effects on individual sports incentives, among which sports incentives objectively include the improvement of sports ability. In this research, the virtual partner's exercise companion experiment was carried out, and the exercise oxygen uptake was taken as the dependent variable, and the factorial experiment was carried out in 3 x 2 (with or without positive encouragement feedback), in which the positive encouragement feedback included goal-oriented encouragement and non-goal-oriented encouragement. It is found that both moderate negative feedback and positive encouraging feedback of virtual partners can improve individual exercise oxygen uptake, and moderate negative feedback is more effective.

Austenitic 317L stainless steel was favored in many industrial applications due to its excellent corrosion resistance and mechanical properties. The study involved heat treating Austenitic 317L stainless steel samples at temperatures of 500℃, 950℃, and 1100℃ to explore the effects of heat treatment temperature on microstructure and corrosion resistance. Electrochemical analysis showed that the 317L sample treated at 1100℃ exhibited the lowest passive current density, indicating the best improvement in corrosion resistance at this temperature. Results from corrosion weight loss experiments confirmed that the least weight loss occurred under the heat treatment conditions of 950℃ and 1100℃, suggesting enhanced corrosion resistance of the material. Microstructural characterization revealed that after heat treatment at 950℃, the metallographic structure transformed from a complex, irregular size and chaotic growth pattern to uniformly grown and comparatively equal-sized metallographic structures. Furthermore, heat treatment at 1100℃ resulted in larger metallographic structures with reduced boundary width and distribution density. Consequently, enhanced corrosion resistance was observed at both temperatures. Based on these findings, a heat treatment range of 950℃ to 1150℃ appeared to be a suitable post-processing method for optimizing the microstructure of 317L while concurrently improving its corrosion resistance.

Aiming at the problems of premature convergence and slow convergence speed in the optimization process of single population particle swarm optimization algorithm, in order to improve the global convergence performance of particle swarm optimization algorithm, a hierarchical three-population integer coded particle swarm optimization algorithm based on grade evaluation with parallel structure is proposed and used to solve the traveling salesman problem (TSP). The algorithm imitates the form of biological aggregation in nature. In the initialization stage, three independent populations are generated according to different particle fitness, including an elite population composed of small-scale individuals with high fitness and two large-scale civilian populations composed of remaining individuals. The three populations apply the immigration strategy based on grade evaluation to exchange particles after a certain number of evolutionary generations. By applying the grade evaluation strategy, the natural law of the biological cluster is integrated into the particle swarm optimization algorithm, which effectively improves the optimization efficiency of the particle swarm optimization algorithm. The above algorithm is applied to the inspection route optimization of one of the traveling salesman problems. The results show that the improved algorithm is superior to the single population particle swarm optimization algorithm in terms of convergence speed, global optimization ability and stability.

Most of China's inland waterway construction started in the 1960s. With the increase of inland water transportation, inland water conservancy hubs need to be upgraded, especially in the complex terrain - curved branching river to establish navigation buildings to ensure navigation, improve transport capacity is extremely important. This paper studies the navigable flow conditions in the mouth area of the typical curved branching river of Qingshan Junction, explores the characteristics of the peer flow of the curved branching river, and puts forward an analysis model of the flow movement characteristics of the curved branching river, which can effectively improve the navigable flow conditions in the mouth area of the curved branching river and enrich the model base and knowledge base of the curved branching river. It has very important practical significance and engineering value for shipping safety and waterway management.

With the development of inland waterway transport in our country, the demand for inland waterway navigation is increasing day by day, and the navigation safety requirements of ships are also increasing day by day. The flow condition is very important for the safe running of the ship, it not only determines the safety of the ship entering and leaving the lock, but also determines the key factor of the navigation ability of the hub. Based on the mathematical model, this paper studies the navigable flow conditions in the entrance area of the curved branching river through the modeling technology of the curved branching river, explores the peer flow characteristics of the curved branching river, and puts forward an effective measure to improve the navigable flow conditions in the entrance area of the curved river, which is of great practical significance and engineering value.

Spiking neural p systems (SNP systems) are a distributed parallel computing device inspired by biology. A new variant—Weighted spiking neural P systems with target indications (WSNPTI systems) was proposed. By introducing the target indications into spiking neural P systems with weighted synapses, WSNPTI systems change the traditional spikes sending only to all synaptic connected neurons, but selectively sending the spikes to the specified neurons. WSNPTI systems simulate the workings of the human brain while using non-mechanical transmission methods to compute. This paper proves that the system is Turing universal as a number generation and an accepting device.