Sentence examples for a well established data from inspiring English sources

From the vast pool of potential tools, the Varanus collection service uses collectd, a well established data collection daemon with an extensive plugin library, to obtain data from the OS and applications.

CD was more frequently found in females with a female/male ratio of 3.5 1, a figure that confirms well established data [ 19].

The primary benefit of using memory based look-up table (LUT) FSM is that well established data error correction methods can be applied to protect the FSM behavior, even in the event of single error events (SEE).

We used several well established data mining tools to analyze the microarray data.

Streamed data home monitoring, tele-health, handheld and sensor-based wireless are well established data sources for clinical data.

Continuous cyclic chemoprophylaxis with penicillin G is used in certain adults (following splenectomy, osteodural breach victims), but is not based on well established data [ 36].

This layered model maximises the skills and experience in data linkage across Australia and builds on the success of well established data linkage units in WA and NSW/ACT.

While the phIGFBP-1 presence in cervical secretion in predicting preterm labor is well established, data regarding its similar role in predicting term or post-term delivery are limited.

In summary, while adverse cardiometabolic effects of IP-TFA are well established, data from the present meta-regression analysis of existing randomised controlled trials indicate that R-TFA intake levels do not substantially influence the changes in the ratios of TC:HDL-C and LDL-C HDL-C in heaLDL-C HDL-C.

Despite the lack of well established data-based clinical investigations into the long-term administration of infliximab, a dermatology expert panel recently reached a consensus in this issue, explaining key decision points about long-term moderate-to-severe psoriasis management and long-term infliximab therapy.

Virtual Reference Feedback Tuning (VRFT) is a well established method for data-driven tuning of linear controllers.