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Successful progression from

Technology transfer is a critical step in ensuring project success. The client must recognize that each toller is different in regard to how they progress from the laboratory to a test run to production. The toller selection step should have revealed that each candidate company possessed different levels of skill, experience and management culture. [Pg.53]

This paper describes DuPont s very successful progress in the chemical recycling of nylon carpets by a patented ammonolysis process. Each stage of the process is described, from the collection of old and dirty used carpets, right through to the production of high-purity monomers. [Pg.72]

Suffice it to say that almost all operations on scale are possible if money and time are not issues of course, money rarely flows freely, and time is one of the major issues for developing drugs. Operations are almost always changed in progressing from the discovery route to scale-up. The best approach for rapid, successful scale-up is to scale down operations to the lab, and then develop processes that can be scaled up by mimicking conditions that will subsequently be encountered on scale. [Pg.15]

The timeline of sildenafil is interesting by itself. Most successful drugs do not require seven years to progress from the med chem synthesis to commercialization. Sildenafil, however, started as a candidate for treating angina. [Pg.347]

Fig. 7.3 Deterministic (a) and noisy (b) computer simulations of the time course of affective disorders showing the intervals between successive disease episodes (interval duration) as a function of a disease variable S and examples of episode generation from different disease states (figure modified after [2]). In deterministic simulations (a), there is a progression from steady state (S = 18) to subthreshold oscillations (S = 22) with immediate onset of periodic event generation at a certain value of S (slightly below S = 60). With further increase of S, the intervals between successive episodes are continuously... Fig. 7.3 Deterministic (a) and noisy (b) computer simulations of the time course of affective disorders showing the intervals between successive disease episodes (interval duration) as a function of a disease variable S and examples of episode generation from different disease states (figure modified after [2]). In deterministic simulations (a), there is a progression from steady state (S = 18) to subthreshold oscillations (S = 22) with immediate onset of periodic event generation at a certain value of S (slightly below S = 60). With further increase of S, the intervals between successive episodes are continuously...

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