1This paper describes outcomes of the 2019 Cryo-EM Map-based Model Metrics Challenge 2 sponsored by EMDataResource (www.emdataresource.org). The goals of this challenge were (1) 3 to assess the quality of models that can be produced using current modeling software, (2) to 4 check the reproducibility of modeling results from different software developers and users, and 5(3) compare the performance of current metrics used for evaluation of models. The focus was on 6 near-atomic resolution maps with an innovative twist: three of four target maps formed a resolution 7 series (1.8 to 3.1 Å) from the same specimen and imaging experiment. Tools developed in 8 previous challenges were expanded for managing, visualizing and analyzing the 63 submitted 9 coordinate models, and several novel metrics were introduced. The results permit specific 10 recommendations to be made about validating near-atomic cryo-EM structures both in the context 11 of individual laboratory experiments and holdings of structure data archives such as the Protein 12 Data Bank. Our findings demonstrate the relatively high accuracy and reproducibility of cryo-EM 13 models derived from these benchmark maps by 13 participating teams, representing both widely 14 used and novel modeling approaches. We also evaluate the pros and cons of the commonly used 15 metrics to assess model quality and recommend the adoption of multiple scoring parameters to 16 provide full and objective annotation and assessment of the model, reflective of the observed 17 density in the cryo-EM map. 18

The Elliott Wave principle is a time-honored, oft-used method for predicting variations in the financial markets. It is based on the notion that human emotions drive financial decisions. In the fight against COVID-19, human emotions are similarly decisive, for instance in that they determine one’s willingness to be vaccinated, and/or to follow preventive measures including the wearing of masks, the application of social distancing protocols, and frequent handwashing. On this basis, we postulated that the Elliott Wave Principle may similarly be used to predict the future evolution of the COVID-19 pandemic. We demonstrated that this method reproduces the data pattern especially well for USA (daily new cases). Potential scenarios were then extrapolated, from the best-case corresponding to a rapid, full vaccination of the population, to the utterly disastrous case of slow vaccination, and poor adherence to preventive protocols.

Since the emergence of covid 19, online payment has replaced cash and other payment methods. People take it as the improvement of technology, but we usually ignore that online payment is not very suitable for every age group. For instance, the elderly. This report will analyze the rise of online payment and its adverse effects on the elderly.