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271.
Rubin Pedrazzo Alberto Trotta Francesco Hoti Gjylije Cesano Federico Zanetti Marco 《Environmental science and pollution research international》2022,29(1):251-263
Environmental Science and Pollution Research - Cyclodextrin nanosponges (CD-NS) are cross-linked cyclodextrin polymers characterized by a nanostructured three-dimensional network. CD-NSs in the... 相似文献
272.
273.
The mentoring literature has focused largely on outcomes associated with having been mentored. This study considered informational outcomes associated with being a mentor, viewing the protégé as a source of information for the mentor and vice versa. Survey data were collected across 17 organizations from 161 mentors and 140 protégés. Mentor characteristics and perceptions and characteristics of the relationship were hypothesized to be related to mentors' seeking information from their protégés. Hierarchical regression analyses indicated that perceived appropriateness of mentor information seeking, perceived protégé competence, vocational mentoring functions and protégé influence contributed significantly to the prediction of mentor information seeking among the mentor sample; hierarchical distance, perceived appropriateness and mentor self‐monitoring were significant predictors in the protégé sample. Future research directions are discussed. Copyright © 1999 John Wiley & Sons, Ltd. 相似文献
274.
Seurinck S Deschepper E Deboch B Verstraete W Siciliano S 《Environmental monitoring and assessment》2006,114(1-3):433-445
Microbial source tracking (MST) methods need to be rapid, inexpensive and accurate. Unfortunately, many MST methods provide a wealth of information that is difficult to interpret by the regulators who use this information to make decisions. This paper describes the use of classification tree analysis to interpret the results of a MST method based on fatty acid methyl ester (FAME) profiles of Escherichia coli isolates, and to present results in a format readily interpretable by water quality managers. Raw sewage E. coli isolates and animal E. coli isolates from cow, dog, gull, and horse were isolated and their FAME profiles collected. Correct classification rates determined with leaveone-out cross-validation resulted in an overall low correct classification rate of 61%. A higher overall correct classification rate of 85% was obtained when the animal isolates were pooled together and compared to the raw sewage isolates. Bootstrap aggregation or adaptive resampling and combining of the FAME profile data increased correct classification rates substantially. Other MST methods may be better suited to differentiate between different fecal sources but classification tree analysis has enabled us to distinguish raw sewage from animal E. coli isolates, which previously had not been possible with other multivariate methods such as principal component analysis and cluster analysis. 相似文献
275.
Lima Fernando Santos Scalize Paulo Sérgio Gabriel Ellen Flávia Moreira Gomes Raylane Pereira Gama Aline Rodrigues Demoliner Meriane Spilki Fernando Rosado Vieira José Daniel Gonçalves Carneiro Lilian Carla 《Food and environmental virology》2022,14(1):77-88
Food and Environmental Virology - Rural environments lack basic sanitation services. Facilities for obtaining water and disposing sewage are often under the initiative of each resident, who may not... 相似文献
276.
Thio Ellen Tan MeiXuen Li Liang Salman Muhammad Long Xingle Sun Huaping Zhu Bangzhu 《Environment, Development and Sustainability》2022,24(9):11226-11259
Environment, Development and Sustainability - Global climate change due to greenhouse gas emissions has observable impacts on environment. Among the GHG emissions, carbon dioxide is the primary... 相似文献