Dean Simonsen (grambeef77)

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 a particular company benefits the whole industry when innovation technology transfers to others. Similarly, the development and innovation in internet companies influence the development and innovation of the industry. This investigation has applied a unique approach of meta-frontier analysis to estimate and analyze the innovation in internet companies in China. A unique dataset of Chinese internet companies from 2000 to 2017 has been utilized to estimate and compare the innovation over the period of study. The change in technology gap ratio (TGR) and a shift in production function have translated into innovation which was overlooked by previous studies. It is found that the production function of internet companies is moving upward in the presence of external factors such as smartphones invention, mobile internet, mobile payments, and artificial intelligence, etc. Consequently, a sudden increase in TGR is captured due to the innovation of some companies. Hence, the average TE of the industry falls caused by the increased distance of other companies form industry production function. However, the innovation advantage defused when other companies start imitating and the average TE elevates. A steady increase in the TGR index revealed that the continuous innovation-based growth of some companies lifting the production frontier upward. This provides the opportunity for other companies to imitate and provides continuous growth in the industry. Eflornithine manufacturer This study provides a novel methodological approach to measure innovation and also provide practical implication by empirical estimation of innovation in Chinese internet companies.Real-time reverse transcription PCR (qPCR) normalized to an internal reference gene (RG), is a frequently used method for quantifying gene expression changes in neuroscience. Although RG expression is assumed to be constant independent of physiological or experimental conditions, several studies have shown that commonly used RGs are not expressed stably. The use of unstabl