Method for Predicting Failure Rate of Airborne Equipment Based on Optimal Combination Model

Accurate prediction of airborne equipment failure rate can provide correct repair and maintenance decisions and effectively establish a health management mechanism. This plays an important role in ensuring the safe use of the aircraft and flight safety. This paper proposes an optimal combination forecasting model, which mixes five single models (Multiple Linear Regression model (MLR), Gray model GM (1, N), Partial Least Squares model (PLS), Artificial Neural Network model (BP), and Support Vector Machine model (SVM)). The combined model and its single model are compared with the other three algorithms. Seven classic comparison functions are used for predictive performance evaluation indicators. The research results show that the combined model is superior to other models in terms of prediction accuracy. This paper provides a practical and effective method for predicting the airborne equipment failure rate.

The Social Economy as a Factor of Economic Development and Resilience of Population in Rural Areas. A Study of Mediating Effects in Castilla-La Mancha (Spain)

Depopulation is a serious problem facing developed countries, among them Spain. It is especially severe in rural areas, where some vicious circles emerge, nourished by reduced infrastructures and services, deteriorated quality of life, the low inflow of new inhabitants, low local development and an aged population. In this context, social economy institutions may be a key factor in the fight against population decline, having a leading role in reactivating economic dynamism through the creation of stable, high-quality jobs, promoting the local endogenous development of rural areas, helping enhance income in those spaces, encouraging the arrival of people and impacting positively on social cohesion, and enabling sustainable growth. This paper focuses on Castilla-La Mancha, an eminently rural region, which is among the areas most severely impacted by the loss of population in Spain. The aim is to analyze the factors that affect the settlement of population, and to demonstrate that social economy institutions may be a resilience factor of rural population. A partial least squares model, composed of 8 constructs related to 21 variables extracted from data for 2017 and 2018 on the 613 municipalities, allows us to demonstrate that the existence of social economy entities helps to anchor population and increase the resilience of this territory.

Impacts of Environmental Sustainability Measures on Rural Accommodation

Rural tourism is currently one of the most dynamic segments of tourism demand, and rural accommodation is one of the accommodation choices most in demand. Based on various documentary sources, the goal of this article was to analyse aspects related to the qualitative evolution of this activity that have led to the rapid growth of this type of accommodation. Using a purpose-built database generated from the information obtained from our own survey, which was developed following other studies on this topic, we applied a partial least squares model to analyse the impacts on the environment in terms of the offer and their relationship with environmental management. The results show that the attitude of rural establishment managers has a decisive influence on the behaviour of their clients regarding ecological respect and a positive impact on water and energy consumption.