A key challenge to the sustainability and security of grassland capacity is the protection of water-related ecosystem services (WESs). With the change of land use, the supply of aquatic ecosystem services has changed, and the grassland-carrying capacity has been affected. However, the correlation mechanism between WESs and the grassland-carrying capacity is not clear. In this study, we used the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model to evaluate the impact of land-use change on WESs, and made a tradeoff analysis between WESs and grassland-carrying capacity. Considering that the Heihe River Basin (HRB) was an important grassland vegetation zone, which was a milestone for the development of animal husbandry in China, HRB was taken as a case. The main findings are as follows: (1) the spatial distribution of WESs shows the dissimilation rule, the upper reaches are the main water yield area, the soil retention is weakening in the middle and lower reaches, and the pollution has further increased in the middle and upper reaches. (2) The carrying capacity of animal husbandry decreased in the upper reaches, increased in Shandan County and Zhangye City in the middle reaches, and decreased sharply in other regions. (3) There was a positive correlation between the livestock-carrying capacity and nitrogen export in 2018, which was increasing. As the change of land use has changed the evapotranspiration structure, WESs have undergone irreversible changes. Meanwhile, the development of large-scale irrigated farmland and human activities would be the source of a further intensification of regional soil erosion and water pollution. Therefore, it is necessary to trade off the WESs and animal husbandry under land-use change. This paper revealed how WESs changed from 2000 to 2018, the characteristics of the changes in the spatial and temporal distribution, and the carrying capacity. It aims to provide a scientific basis for coordinating the contradiction between grassland and livestock resources, improving the regional ecological security situation, and carrying out ecosystem management.

At present, the external environment is full of crises and challenges. The practice of firms deploying slack resources in advance and actively coping with external disturbances has achieved good effect. But, the theoretical research process of organizational slack is relatively slow compared with practice. Therefore, this paper comprehensively applied a bibliometric method and traditional literature review method to carry out scientific econometric analysis on 958 papers from the WoS database. We visualized the results as knowledge maps and analyzed papers with the help of the knowledge graph. The research venation and evolution trend of organizational slack are sorted out from a longitudinal perspective. On this basis, we put forward the future development direction of organizational slack in line with emerging phenomena, mainly including: ① Clarifying the sources of organizational slack; ② Two new dimensions of defensiveness slack and strategic slack are proposed from functional attributes; ③ Based on the perspective of active response, we expand the research depth of firms to construct organizational resilience through organization slack to adapt to uncertain environments. The purpose of this paper is to provide new ideas for firms to make plans before turbulence occurs in highly uncertain environments. It provides a useful reference for the future development of organizational slack research and promotes the formation of a virtuous cycle of mutual promotion between theory and practice.

Both academia and industry believe that introducing textual features into a financial distress prediction model can improve its accuracy. However, the textual features introduced by the research are relatively singular and fail to reflect the overall situation of the text comprehensively and effectively. Based on the traditional Z-score financial indicators model, four textual features of MD&A are introduced, namely, sentiment tone, text readability, forward-looking depth, and performance self-attribution. Using logistic regression, BP neural network, and deep belief network, empirical research draws conclusions from listed companies in China. The results show that the financial distress prediction model of listed companies considering multitextual features can effectively improve the prediction accuracy, and deep belief network has the potential to perform better prediction.

Hesitancy and uncertainty features of experts are common in the decision-making process, especially for the project management events. To solve this problem, a novel similarity-based decision-making approach is put forward, as well as an application to the hydraulic engineering project management. Several experts, who are invited in the decision-making process, are suggested to adopt hesitant fuzzy preference relations (HFPRs) to show their evaluations. To measure the similarity degree of experts, a novel integrated similarity index (SI) is given combining the alternative ranking-based similarity index (SI_AR) and distance-based similarity index (SI_D) between HFPRs. The SI_AR can be derived from the comparison of the alternative rankings, while the SI_D depends on evaluations distance degree. After that, on the basic of opinion transition probabilities, experts weights are allocated, which is necessary for the aggregation process. Then, the collective preferences can be aggregated from the individuals evaluations. Afterwards, the above methods along with a score function are adopted to obtain the optimal solution for an actual hydraulic engineering project management event. Finally, for verifying the feasible and effective features of the presented methods, some significative discussions and comparative analyses are provided.