Sentence examples for designed to be general from inspiring English sources

The methodology used for the characterization is designed to be general so that, applied in different contexts, it could make it possible to compare cyclability in different cities.

Although Low et al. in [16] pointed out that the influences of environmental and organisational factors on Cloud Computing adoption vary across different industry contexts, most of the frameworks are designed to be general and do not focus on specific sectors.

However, with newly emerging requirement to serve as a type of middleware services for high performance computing infrastructures such as grid and cloud computing, more and more workflow systems are designed to be general purpose to support workflow applications from many different domains.

The checklist was designed to be general so it can be applied to a wide variety of interventional procedures.

This method was developed for general population studies with exposure assessment designed to be more general than specific, and was conducted by three occupational exposure experts who rated all job codes by intensity.

The questions were designed to be as general and direct as possible in an effort to avoid misrepresentations.

However, DPSWR's definitions are designed to be sufficiently general as to support application in other ecosystem contexts.

We present an algorithm for jaw movement identification that is designed to be as general as possible; it requires no calibration and identifies jaw movements according to key features in the time domain that are defined in relative terms.

Some target file formats (e.g., FileFuzz); others target network protocols (e.g. Querub, TAOF); others are designed to be more general and besides file and network can also use custom I/O interfaces, such as RPC or SOAP (e.g., Peach, Fuzzled); and finally, custom fuzzers exist and specialize in one specific format or protocol (e.g., AxMan, Hamachi) [34].

The Flynet data system is designed to be a general system for storing, annotating, and visualizing in vivo DNA-protein interaction datasets.

Initially, this predictor was designed to be a general prognostic tool, developed in a mixed population of patients receiving chemotherapy and tamoxifen.