Soil infiltration based on bp neural network and grey relational analysis

Soil infiltration is a key link of the natural water cycle process. Studies on soil permeability are conducive for water resources assessment and estimation, runoff regulation and management, soil erosion modeling, nonpoint and point source pollution of farmland, among other aspects. The unequal influence of rainfall duration, rainfall intensity, antecedent soil moisture, vegetation cover, vegetation type, and slope gradient on soil cumulative infiltration was studied under simulated rainfall and different underlying surfaces. We established a six factor-model of soil cumulative infiltration by the improved back propagation (BP)-based artificial neural network algorithm with a momentum term and self-adjusting learning rate. Compared to the multiple nonlinear regression method, the stability and accuracy of the improved BP algorithm was better. Based on the improved BP model, the sensitive index of these six factors on soil cumulative infiltration was investigated. Secondly, the grey relational analysis method was used to individually study grey correlations among these six factors and soil cumulative infiltration. The results of the two methods were very similar. Rainfall duration was the most influential factor, followed by vegetation cover, vegetation type, rainfall intensity and antecedent soil moisture. The effect of slope gradient on soil cumulative infiltration was not significant.

Role of food safety in procedures adopted for the purchase of minimally processed and fresh vegetables by foodservices

This research was designed to analyze whether the procedures adopted by foodservice establishments for the purchase of minimally processed and fresh vegetables favor the acquisition of safe products. This research investigated the purchasing policies of such establishments, whether self-managed or administered by foodservice contractors, in the municipality of Campinas and its outlying districts. A random sample of thirty-nine establishments participated in the research. The instruments for data collection were pre-tested, and the actual interviews were conducted by trained personnel. Comparative analyses were made using various statistical tests. All of the participating establishments purchase fresh vegetables, although only six of them use minimally processed ones. For most of the establishments, price is at least one of the most important criteria for the selection of a supplier, and they do not normally monitor the safety of the fresh products purchased (51.3%), nor do they make regular technical visits to guarantee quality (46.2%); moreover, most do not carry out a supplier development program. It is suggested that routine technical visits to suppliers should be adopted, as well as the creation of courses, such as those dealing with the safety of vegetables and supplier development, to be offered to foodservices.

The art and learning patterns of knowing in nursing

Objective To identify the perception of the students about the use of art as a pedagogical strategy in learning the patterns of knowing in nursing; to identify the dimensions of each pattern valued in the analysis of pieces of art. Method Descriptive mixed study. Data collection used a questionnaire applied to 31 nursing students. Results In the analysis of the students’ discourse, it was explicit that empirical knowledge includes scientific knowledge, tradition and nature of care. The aesthetic knowledge implies expressiveness, subjectivity and sensitivity. Self-knowledge, experience, reflective attitude and relationships with others are the subcategories of personal knowledge and the moral and ethics support ethical knowledge. Conclusion It is possible to learn patterns of knowledge through art, especially the aesthetic, ethical and personal. It is necessary to investigate further pedagogical strategies that contribute to the learning patterns of nursing knowledge.