https://www.selleckchem.com/products/azd9291.html The proposed model can build a reliable expert intelligent system for predicting meteorological drought at multi-time scales and decision making for remedial schemes to cope with meteorological drought at the study stations and can help to maintain sustainable water resources management.This study draws on previous studies to develop the Social Networking Sites Use Multi-Motive Grid Questionnaire (SNSU-MMG) and test its reliability and validity. The results show that social networking sites use motivation includes four factors cognitive motivation, emotional motivation, leisure motivation and herding motivation. Confirmatory factor analysis, reliability and validity tests show that the questionnaire has good structural validity, internal consistency and split-half reliability. The SNSU-MMG can be used as a measurement tool for users' social networking sites use implicit motivation.Background Recent infectious disease outbreaks highlight the importance of competent professionals with expertise on public health preparedness and response at airports. The availability of a competency profile for this workforce supports efficient education and training. Although competency profiles for infectious disease control professionals are available, none addresses the complex airport environment. Therefore, the main aim of this study is to develop a competency profile for professionals involved in infectious disease preparedness and response at airports in order to stimulate and direct further education and training. Methods We developed the competency profile through the following steps 1) extraction of competencies from relevant literature, 2) assessment of the profile in a national RAND modified Delphi study with an interdisciplinary expert group (n = 9) and 3) assessment of the profile in an international RAND modified Delphi study with an airport infectious disease management panel of ten Europare desirable.The innovation of