Public Interest Score Factors Factors Input Score The average number of employees of the company during the financial year: The total third party liability of the company, at the financial year end (Full amount): Total turnover during the financial year (Full amount): ...
(2016) did not include these data in their calculation. Therefore, these data may not always provide helpful contextual information to assess a podcast’s success. Listen Score We also identified the Listen Score as a standardized measure of podcast success. A ListenScore (ListenNotes, ND) is ...
After calculation, nodes located in the HH quadrant (with both high values of Sim and ks) are highly influential nodes in the network, and they are identified as opinion leaders. The nodes located in the LH quadrant (the Sim is relatively low and the ks is relatively high) are focus ...
Sample size calculation We derived a minimum sample size estimate of 385 using a standard survey sample size calculation that incorporates population size (approximately 36.3 million in Canada), a confidence level of 95%, and a confidence interval (CI) of 5%. We planned to collect 1,000 respons...
If interest rates go up, bond prices come down, and vice versa. If you purchase a bond and later interest rates rise, you are locked into receiving a return that is less than what you would receive by buying a new bond at the higher interest rate. Thus, the price or market value ...
Therefore, this training provides greater ability to monitor thoughts, noticing the wandering mind, and redirecting it to the object of interest, usually called anchor [56]. Participants practice acceptance and acknowledge whatever is present, including negative and unwanted experiences, feelings, and ...
Additional file 11: Text S2.: A comparison of our FLAGS gene ranking system against another method, residual variation intolerance score (RVIS) that also built upon public genomic datasets and ranked importance of each gene’s association to human diseases. Agreements and disagreements between the ...
it is not sufficient for the data-driven discovery of novel thermoelectric materials because our interest is in the extrapolation that predicts the thermoelectric properties of unexplored material systems. In other words, we should evaluate the prediction capabilities of machine learning methods before usi...
Because issues related to strength of the evidence between case files are not of interest for current purposes, as indicated in Table 1, below we will only use the data that relate to the strong evidence versions of the aggravated assault (A), the simple assault (B), and the aggravated ...
The primary outcomes of interest are depression and anxiety. We will also assess psychosocial factors at work, work engagement, health-related quality of life, well-being, economic outcomes, physiological outcomes of health checkups, cortisol levels extracted from fingernails, and indices representing ...