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Cooperative combat task assignment is recently one of the hot spots in military research area, and it is generally divided by previous researchers into two separate phases, namely task pre-assignment and dynamic assignment. However, in this manner the correlation between the aforementioned two phases is to some extent neglected. This article investigates into this issue from the perspective of multi-and single-optimization, and proposes a transform method for multi/single-assignment optimization. Decision-maker's subjective preferences were obtained through their choices in the pre-assignment phase. Based on the acquired subjective preferences, the multi-objective optimization is transformed into single-objective optimization, and then the task re-assignment is completed using contract net protocol. Simulation results verify the proposed transform method as well as its applicability in dynamic assignment problems. Finally, the correlation between traditional multi-and single-objective optimization is demonstrated and a potential future research direction is outlined.

This paper analyzes the characteristics of the trajectory tracking control problem of the manipulator and establishes a two-degree-of-freedom manipulator dynamic model. In order to solve the problem that generalized predictive control(GPC) algorithm is difficult to apply to nonlinear systems, a feedback linearization-based generalized predictive control(FL-GPC) algorithm framework is designed. The bottom layer of the algorithm is the linear system predictive control and the non-linear term is replaced by the estimated value. The upper level is iteratively revised estimates and the non-linear term is estimated using the iterative calculation method. Finally, the FL-GPC algorithm is used to simulate the static and dynamic trajectory tracking tasks of a two-degree-of-freedom manipulator. Simulation results show that the algorithm can perform effective manipulator trajectory tracking control.

Objective: Develop the industrial production of Lentinus edodes stalk polysaccharides. Methods: Using the yield of polysaccharides as an indicator, uniform design experiments were used to optimize the extraction process parameters. Four methods were used to determine the antioxidant activity of polysaccharides and compared with the traditional hot water extraction method. Results: The optimal process conditions for the flash-assisted extraction of Lentinus edodes stalk polysaccharides were as follows: flash extraction time 120 s, ratio of liquid to material 40∶1 （mL/g）, hot water extraction time 105min, temperature 50 ℃, extraction twice. Under these conditions, the yield of polysaccharides was （5.03±0.22）%, which was basically consistent with the predicted value of the model and 1.82 times higher than that of traditional hot water extraction method. Lentinus edodes stalk polysaccharides had strong Fe3+ reduction ability, total antioxidant capacity, ·OH and DPPH· scavenging capacity, and showed a dose-effect relationship. The antioxidant activity of polysaccharides obtained by flash-assisted hot water extraction was stronger than that of the traditional hot water extraction, but weaker than that of vitamin C. Conclusion: Flash-assisted hot water extraction is beneficial to the extraction of polysaccharides from Lentinus edodes stalks, and can maintain its antioxidant activity.

Mine air stopping is a key facility separating production systems from abandoned ones. Ensuring full lifecycle risk management is of great significance for ensuring safe production. Based on the current status of comprehensive control technology for mine air stopping, the shortcomings of the existing air stopping management mode are analyzed from two aspects: static attribute information management and dynamic information monitoring. The paper puts forward the concept of intelligent management and control in the full lifecycle of air stopping. It indicates the overall construction path of air stopping risk monitoring and early warning based on big data strategy of the Internet of Things (IoT)+Artificial Intelligence (AI)+Cloud Platform (CP), and integrated with cloud-edge architecture. The IoT platform is applied to access digital monitoring and linkage control equipment for air stopping units, achieving transparency in the full lifecycle control of air stopping. The method focuses on the evolution signs of air stopping information and efficient edge computing. It deploys mobile terminals, edge computers and other field terminals to adapt to online prediction and advance warning of air stopping service status. In the smart cloud, the virtual reality scenario of a distributed mine air stopping and its full lifecycle evolution characteristics are reconstructed iteratively in real time with multi-source fused information and digital twin models at the core. The paper analyzes key theories and and model construction methods, including the physical-digital driving mode of evolution information in air stopping environments, the multi-source heterogeneous data fusion model of air stopping perception information, the edge detection and hierarchical intelligent warning of air stopping anomalies, and the emergency intelligent decision-making and collaborative prevention and control throughout the entire lifecycle of air stopping. The physical and functional architecture of an air stopping full lifecycle safety risk monitoring and warning system based on the IoT is designed. The on-site embedded air stopping multi-parameter integrated monitoring sensors and supporting intelligent hosts are developed. The early sensing and monitoring and warning methods for air stopping risks are proposed to achieve digital empowerment and effectively promote the construction of smart mines.

Background/Introduction: Conflict-induced displacement continue to be a pressing public policy concern due to the adverse effects on the well-being of internally displaced persons (IDPs). Understanding the integration process of these individuals, particularly the role of solidarity and social integration in fostering a sense of belonging and improving their community experiences and psychological well-being, remains unclear. This study investigates the role of community satisfaction in the relationship among social integration, solidarity, and psychological health of IDPs in Cameroon. Methods: Cross-sectional data from 428 displaced individuals in the Ntui subdivision, Cameroon, were analyzed using structural equation modeling (SEM). This technique tested four latent variables: social integration, solidarity, community satisfaction, and psychological health. Results: The results show a direct association between solidarity and both community satisfaction (β = 0.282; p

The safety assurance of intelligent mine building in China is intelligent mine ventilation. The idea of intelligent sensing and interactive control of underground ventilation human-machine-loop integrated information flow is pointed out based on the “combination of level and battle” in order to genuinely accomplish intelligent mine ventilation. Additionally, it covers the theory and design of mine intelligent ventilation, as well as accurate monitoring and early warning systems, real-time network problem-solving, fault diagnostics, and intelligent decision-making. Furthermore, it supports the platform structure of the mine intelligent ventilation system, the creation of new sensors for accurate ventilation parameter monitoring and arrangement strategy optimization, the processing of ventilation parameter information flow, the method for solving the wind network, the integration of the mine climate and ventilation network, the solution to the wind network’s response, and the concept of mine intelligent ventilation. To avoid the inaccuracy of point wind velocity measurement brought on by an uneven distribution of wind velocity in shaft section, a novel technique of direct measurement of wind volume in complete section is presented; To increase the precision of real-time wind network solution and the stability of routine operation of intelligent ventilation, a real-time wind resistance adaptive adjustment wind network solving model with heat and humidity coupling has been created. Building a catastrophe evolution model for coal and gas protrusion, fire, and other disasters requires the use of a field-area-network coupling numerical solution approach based on full-size disaster test data. Additionally, based on full-scale disaster test data, it developed a coupled field-area-network numerical solution method, constructed a disaster evolution model for coal and gas protrusion, fire, and gas explosion, and overcame the obstacle to disaster autonomous decision making and control of mine intelligent ventilation system; In conjunction with implementation cases for mine intelligent ventilation, it elaborated the field implementation and operation process of mine intelligent ventilation in regards to precise wind measurement, linkage control of ventilation facilities and equipment, intelligent fire and dust prevention, and pointed out the issues and future direction of mine intelligent ventilation construction.

A significant number of people, either seasonally or permanently, migrate from the Thar Desert in Pakistan each year due to droughts caused by climate change. This study aims to investigate the determinants and consequences of these migration decisions, examine the effectiveness of migration as a climate adaptation strategy, and identify challenges in adapting to these changes. Data were gathered from 400 migrated households in the Mithi sub-district. A mixed-method approach was used, combining qualitative and quantitative methods. The findings revealed that threats to the standard of living, including lack of food and clean drinking water, unemployment, and limited educational and medical opportunities, were the primary reasons for permanent and temporary migration from ancestral locations. Migration significantly impacted the origin and destination regions, with positive or negative effects. Specifically, migrants identified various consequences for both the origin and destination communities, including population decline (63%), changes in age structure, increased demand for housing, economic fluctuations (73%), alterations in healthcare services, and increased psychological stress (77%). The study also revealed that individuals who migrated from the Thar Desert experienced improved conditions compared to their previous location, such as diversification of income sources, increased job stability, access to clean water and food, reduced health risks, and overall improvements in their living conditions. However, the destination communities faced significant challenges due to widespread resource depletion and environmental deterioration. Migrants encountered barriers to developing resilient livelihoods in destination areas, including lack of proper knowledge and information, institutional and government issues, environmental and technological challenges, and social and cultural issues. The study highlights the urgent need for comprehensive policies and sustainable solutions to address the root causes of migration and support the resilience of vulnerable populations. [ABSTRACT FROM AUTHOR]