Sentence examples for model which recognises from inspiring English sources

While addressing the issue of field encroachment and land use pattern changes in the desert margin regions, the paper proposes to develop a model which recognises land use pattern changes as event-driven.

The basis for care in EYEP is an attachment-focused, trauma informed, primary-care model which recognises the significance of respectful, responsive relationships for every child's learning and development.

With the ChemicalTagger [29] system, we have built a natural language framework which recognises parts of speech and phrase.

This process will be facilitated by adopting a human rights framework which recognises both individual and collective rights.

20 Further support of the need to include family members as part of the 'patient unit' is provided by the Inter-professional Shared Decision Making (IP-SDM) model, 21 which recognises family members as key participants in the decision-making process.

The theoretical framework underpinning the study is the Social Ecological Model (SEM, ref. 39) which recognises that individuals' behaviour is affected by, and conversely impacts on, multiple levels of influence (intrapersonal, interpersonal, institutional, community and policy).

The intervention is modelled on social ecology theory, which recognises the role of the physical, social and cultural environment in health behaviour and emphasises the importance of multiple levels of human interaction, including that of groups and organisations.

In the in vitro HD11 cell infection model, mRNA expression levels of TLR3, which recognises dsRNA (IBDV is a dsRNA virus), were also upregulated.

Recently published work using comparative genomic hybridisation to investigate DCIS of the breast has prompted the proposal of a hypothetical model for the pathogenesis of DCIS, which recognises genetic lesions associated with particular morphological subtypes.

The framework is supported by open systems theory which recognises that context shapes implementation and program outcomes.

In this work, an optimisation-based approach is presented which recognises the switching to new parameters at a certain growth rate and thereby improves the quality of the model prediction for different time horizon lengths.