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The rationale here is that it can take up to 23 years for pharmaceutical companies to see a profit on billion-dollar investments in new antibiotics; by guaranteeing payments for drugs that meet pre-specified criteria, return on investment would be realised sooner, and the company would not have to push for large volumes of sales – reducing the chances of early development of resistance.
This paper addresses the multi-objective portfolio selection model with fuzzy random returns for investors by studying three criteria: return, risk and liquidity.
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A search with CNV specific criteria returns a table of individual CNVs, whereas a search with demographic criteria returns a table of patients.
Of those who responded, 525 participants met these criteria, returned a letter of consent, and were randomised to the interventions.
Study candidates who fulfilled eligibility criteria returned to the research offices on a subsequent day (Visit 2).
The SPART criteria returned values significantly higher than those obtained using the IOTF reference values, except for girls in the 6 year age group (Table 3).
Subjects meeting these criteria returned for a medical history, physical examination, screening blood tests (chemistries and complete blood cell count), urinalysis, and electrocardiogram.
The first criterion returns a table that ranks the KEGG pathway based on the percentage of genes in an input dataset (out of the total in each pathway) and their enrichment/depletion probability (calculated by a two-tailed Fisher exact test).
Our approach is based on ranking all the combinations of strategy design (5184 strategies) and the disclosure of the momentum effect with two criteria (mean return and risk) controlling for momentum return probability distribution.
The researchers introduced two new criteria: real return on equity and the percent of after-tax return on sales.
have advocated for an external Central Advisory Body which acts in an advisory capacity to assemble a roster of genetic research findings which meet generally accepted criteria for return, allowing for greater consistency and efficiency to categorizing results appropriate for return.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com