| 1 | Proximal sensor-enhanced soil mapping in complex soil-landscape areas of Brazil显示文摘Portable X-ray fluorescence(pXRF) spectrometry and magnetic susceptibility(MS) via magnetometer have been increasingly used with terrain variables for digital soil mapping. However, this methodology is still emerging in many countries with tropical soils. The objective of this study was to use proximal soil sensor data associated with terrain variables at varying spatial resolutions to predict soil classes using the Random Forest(RF) algorithm. The study was conducted on a 316-ha area featuring highly variable soil classes and complex soil-landscape relationships in Minas Gerais State, Brazil. The overall accuracy and Kappa index were evaluated using soils that were classified at 118 sites, with 90 being used for modeling and 28 for validation. Digital elevation models(DEMs) were created at 5-, 10-, 20-, and 30-m resolutions using contour lines from two sources. The resulting DEMs were processed to generate 12 terrain variables. Total Fe, Ti, and SiO_(2) contents were obtained using pXRF, with MS determined via a magnetometer. Soil class prediction was performed using the RF algorithm. The quality of the soil maps improved when using only the five most important covariates and combining proximal sensor data with terrain variables at different spatial resolutions. The finest spatial resolution did not always provide the most accurate maps. The high soil complexity in the area prevented highly accurate predictions. The most important variables influencing the soil mapping were MS, Fe, and Ti. Proximal sensor data associated with terrain information were successfully used to map Brazilian soils at variable spatial resolutions. | Sérgio H.G.SILVA David C.WEINDORF Wilson M.FARIA Leandro C.PINTO Michele D.MENEZES Luiz R.G.GUILHERME Nilton CURI | 2021 | Pedosphere2021，31，4： | 1 |
| 3 | 促进慢性阻塞性肺疾病哮喘患者自我监控空气质量的护理干预措施: 整合性综述显示文摘目的哮喘-慢性阻塞性肺疾病肺重叠症(Asthma-chronie obst ructive pulmonary disease overlap,A-CO)患者的生活质量较低,肺功能较差,病情经常加重。由于暴露于污染环境会加重其症状,增加发病率和病死率,环境管理对其至关重要。旨在通过系统性综述,寻找证据,以指导制订护理干预措施,促进ACO患者对空气质量的自我管理。方法2023年3月 ,系统检索CINAHL、Medline、Academie Search Complete .Scopus、WebofScience、Cochrane图书馆、乔安娜布里格斯研究所(JoannaBriggsInstitute,JBI)循证实践数据库,以及GoogleScholar。对纳人研究进行数据提取和综合,并对护理干预措施进行分类。采用JBI研究质量评估工具进行方法学质量评估。结果 共纳入5篇来自不同国家的研究。促进ACO患者自我监控空气质量的干预措施包括:警觉性干预措施(医务人员定期巡诊、进行症状评估),监测干预措施(监测室内外诱发因素) ,教育干预措施(空气质量警报、避免接触过敏原),以及相关政策的影响,如无烟政策和改善空气质量的综合战略。尽管这些研究报告了不同的干预措施,方法质量也存在差异,但这些干预措施显示了预防患者病情恶化、尽量减少急诊就诊和住院治疗的潜力。这些关键点可作为护理干预措施的关键组成部分。结论有必要采取全面措施,让护士参与促进患者自我监控空气质量的多学科团队.提高认识、制订和实施护理干预,从而使ACO患者受益。同时,需要进--步开展研究,以扩大证据基础并完善这些干预措施。 | Bruna F.Sebastiao Raquel M.Hortelao Sara S.Granadas Jose M.Faria Joana R.Pinto Helga Rafael Henriques | 2024 | International Journal of Nursing Sciences2024，11，1： | 0 |
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