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Using this strategy we created 76,600 datasets with complex gene-disease relationships, which we made publicly available.
Owing to this sampling strategy, we created the unique possibility to longitudinally study recorded health and primary healthcare use in association with determinants of the cohort members, as long as they are registered at a participating general practice.
Using these strategies, we create modified versions of the backfill and replication algorithms to include all three pro-active strategies to ascertain each of their effectiveness in the prevention of job failures during execution.
Also known as "heuristics," these rule-of-thumb strategies we create for ourselves such as not spending more than $15 on an item of baby clothing, or more than $50 on a pair of shoes can help simplify the many choices we make in a day.
Using pseudo-random strategies, we created two types of switching conditions (easy-to-difficult; difficult-to-easy) and relevant repeating conditions.
Aiming to adapt unutilized electronic concepts to the interrogation of signaling circuits in cells, we first took a bottom-up strategy whereby we created protein-based devices that perform negating Boolean logic operations such as NOT, NOR, NAND, and N-IMPLY.
After setting probabilities and costs under each diagnostic strategy, we then created a flexible modeling structure capable of generating epidemiological scenarios as a function of three variables, which the user specifies: HIV prevalence (assuming a global mean level of antiretroviral therapy coverage), TB incidence, and MDR-TB prevalence among new TB cases.
This uncertainty stimulates both negative and positive emotions and it also leads us to communication strategies in which we create "aging spaces" in which we can age more successfully.
Because some of what people are exposed to is so hard, we create strategies and structures around them to protect the worker, which means we can no longer get to the person we are trying to work with.
By infusing that same drive, perseverance and creativity as well as a touch of the latest technology into our own marketing and personalization strategies, we can create the change that's tantalizingly at our fingertips.
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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