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The Microwave Temperature Sounder-3 (MWTS-3) onboard the Chinese FengYun-3E (FY-3E) satellite is the third generation of Chinese microwave temperature sounder. Based on MWTS-2, the number of MWTS-3 channels has been increased from 13 to 17, which can observe the atmospheric temperature and water vapor profiles from the surface to the lower stratosphere. In this study, two generations of MWTSs onboard FY-3D/3E were inter-calibrated by the Double Difference (DD) method to eliminate bias. The results showed that the biases of tropospheric channels were stable (within 1 K) and the biases of stratospheric channels were relatively large (over 2 K). In addition, the weighting functions of all MWTS channels varied with fields of view (FOVs) due to different optical paths, causing the brightness temperature (TB) observations to display strong scan-dependent features, i.e., the limb effect. This work used a limb correction method to remove scan-dependent patterns so that the underlying weather signals could be uncovered. After inter-calibration and limb correction, this work converted the TB observations from MWTS-2/3 onto a global gridded dataset at 0.5° × 0.5° latitudinal and longitudinal resolutions using a method of nested interpolation. Based on this research, more long-term FengYun series satellite climate datasets can be established in the future. [ABSTRACT FROM AUTHOR]

Forestry has a profound impact on environmental protection, economic development, and social welfare. With the improvement of global environmental protection awareness, the construction of platform supply chain of forest products has become the core driving force to promote sustainable development of forestry. Studying the resilience of supply chain of platform of forest products is of great importance to solve the contradiction between economic development and natural ecosystem protection. However, the existing resilience evaluation methods are not suitable for the dynamic and complex performance evaluation of the current forest products platform supply chain. Therefore, in order to make up for this shortcoming, this paper evaluates and analyzes the supply chain resilience of the forest products platform based on AI recommendation and extension theory. Firstly, this paper combined the characteristics of forest products and used AI recommendation technology to build a forest products platform supply chain resilience performance evaluation index system. Secondly, the AHP method was used to calculate the index weight, and the resilience evaluation model of the platform supply chain of forest products was constructed. Finally, in order to ensure the authenticity and credibility of the evaluation results, three practical cases were analyzed to illustrate the resilience level of the platform supply chain of forest products, and the effectiveness of the application of AI recommendation and extension theory in the resilience performance evaluation of forest products platform supply chains was verified. The scientific value of this paper is that it provides a new idea and a new method for the resilience performance evaluation of the forest products platform supply chain and makes theoretical and practical contributions to the fruitful application of AI recommendation in the supply chain field. In addition, this study also provides a new practical guideline for protecting the natural environment and realizing the sustainable development of forestry. [ABSTRACT FROM AUTHOR]

Nowadays, the world is in turmoil, climate and environmental problems are prominent, the import and export of fresh agricultural products are restricted, etc. The impact of the growing demand for fresh agricultural products and healthy lifestyle choices, and fresh agricultural products are essential for people's daily life, which are perishable, fragile, seasonal, and other unstable factors. Therefore, when the fresh produce supply chain faces various pressures and difficulties, how to enhance the resilience of the supply chain against various problems and risks with flexible and multi-dimensional strategies and methods has become the focus of extensive attention. This kind of problem is a typical contradictory problem, and previous studies have failed to achieve good results. In this paper, based on extenics, we are able to one-dimensionalise the multi-dimensional contradictory problems and multi-dimensionalise the one-dimensional contradictory problems to solve such problems in a scientific and effective way. Firstly, taking fresh agricultural products supply chain enterprise M as the research object, we constructed the fresh agricultural products supply chain enterprise toughness system and identified the toughness state of each index. Secondly, we found the low-evaluation toughness indexes that need to be solved and constructed a extension model of incompatible problems of enterprise toughness. Thirdly, we analysed the objectives and conditions of toughness incompatible problems of fresh agricultural products supply chain enterprises numerically and quantitatively, and then, with the objective of toughness improvement, we analyzed the correlation of the condition basic-elements of incompatible problems and carried out extension transformations. Again, the objectives and conditions of the incompatible problems of fresh produce supply chain enterprises are analysed numerically and quantitatively, and with toughness enhancement as the objective, the correlation analysis and extension transformation of the condition basic-elements of the incompatible problems are implemented to generate the set of toughness enhancement strategies that can solve the incompatible problems in a multidimensional and scientific way. Finally, the optimal toughness enhancement strategies are selected through the superiority evaluation and composed into a new strategy to enhance the toughness of the fresh produce supply chain. Combined with extenics calculations and screening, a new strategy for supply chain resilience enhancement of fresh agricultural products was finally formed. The existing problems are solved from six aspects: product supply type, product demand, product supply efficiency, human resource quantity, production and processing equipment, and logistics guarantee ability. It provides a certain reference significance for the fresh agricultural products supply chain toughness enhancement, and helps enterprises to strengthen their competitiveness and sustainability through the enhancement of toughness. [ABSTRACT FROM AUTHOR]

Collaborative inhibition is a counterintuitive phenomenon. While the specific mechanisms through which social factors influence collaborative inhibition remain unclear, this study aims to shed light on the impact of gender, relationships, and culture in order to better understand the factors shaping collaborative inhibition. A meta-analysis was conducted to analyze subgroups of social factors, including collaborative pairing, gender, membership, and culture, as well as cognitive factors like memory monitoring. Collaborative inhibition was found to be a robust effect (p < 0.01), with moderating effects of pairing on gender (p < 0.01), membership (p < 0.01), culture (p < 0.01), and memory monitoring (p < 0.01). The findings indicate that collaborative inhibition is a consistent phenomenon influenced by both social and cognitive factors. Moreover, the study discovered that memory monitoring can successfully moderate collaborative inhibition, although the underlying mechanism requires further investigation. [ABSTRACT FROM AUTHOR]

In the context of supply disruption, having a resilient supply chain is crucial for the survival and growth of enterprises. It is also essential for gaining a competitive advantage in a turbulent environment. Enterprises need to invest in supply chain resilience to better deal with future uncertainties. This paper constructs a Stackelberg game model with the manufacturer as the leader and the retailer as the follower. We explored how supply chain-related factors under supply interruption risk affect supply chain resilience investment, and studied how to choose supply chain coordination strategies to improve the effectiveness of manufacturer capacity recovery and mutual profits in the context of supply interruption. The study also analyzes the asymmetrical impact of changes in product order quantity, supply disruption probability, and the capacity recovery coefficient on retailer decision-making and the profits of supply chain members. The results indicate that manufacturer profits are negatively correlated with supply disruption probability, while retailer profits are positively correlated with supply disruption probability when product order quantities are low and negatively correlated when product order quantities are high. The supply chain resilience investment is positively correlated with the supply disruption probability. Furthermore, the effectiveness of the cost-sharing contract is closely related to product order quantity and supply disruption probability. When the product order quantity d < α L − c [ 1 − ξ a L + ξ a H ] + s α H ξ + w α L (1 − ξ) k or α H − c [ 1 − ξ a L + ξ a H ] + s α H ξ + w α L (1 − ξ) k < d < α H [ 1 − ξ a L + ξ a H ] (w − c) k , manufacturers can withstand the risk of supply interruption by investing in supply chain resilience alone. But when the product order quantity is α L − c [ 1 − ξ a L + ξ a H ] + s α H ξ + w α L (1 − ξ) k < d < α H − c [ 1 − ξ a L + ξ a H ] + s α H ξ + w α L (1 − ξ) k and α H [ 1 − ξ a L + ξ a H ] (w − c) k < d , the use of cost-sharing contracts is more effective. Additionally, when the sensitivity analysis is conducted, the capacity recovery coefficient positively correlates with supply chain profits in a decentralized mode. However, under the cost-sharing contract mode, it exhibits a U-shaped fluctuation pattern, indicating that the impact of improving capacity recovery efficiency on the profits of both parties is not symmetrical and linear. As ξ approaches 0.5, the profits of manufacturers and retailers decrease. Instead, it undergoes an initial decline followed by a subsequent increase, highlighting the nonlinear benefits of capacity recovery strategies under the cooperative approach. [ABSTRACT FROM AUTHOR]