Incidentally, besides respondents that borrowed from mutually exclusive sources (i.e., formal, semi-formal, or informal), this survey also included those that borrowed from multiple sources.
CRT scholars debate about the law's ability to resolve social inequality (i.e., via formal equality).
A key moral is that the appearance of cluster structures is in large part forced by the compatibility between chiral and tensor structures on the category in question (i.e. by formal features of holomorphic-topological field theory).
The correctness of the POD process is assessed by, for example, checking convergence and stability of the iterative estimation process (i.e. formal errors of, and correlations between, estimated parameters), the observation fit and overlap analysis between consecutive orbit solutions.
We informed the participants that they could use a broad understanding of coercion (i.e. formal, informal and perceived coercion).
Such tests may be abstract (i.e. formal logical representations, simulations, or thought experiments); or concrete (empirical investigations).
The search engine can in principle reveal every aspect of the data in the database by searching for known database fields (i.e. formal parameters).
Further, our findings also offer the first empirical support of several additional dimensions of context relating to communication (i.e., formal interactions, informal interactions, and organizational slack-space) not previously reported that show promise as important to research use by pediatric healthcare professionals.
In low- and middle-income countries (LMICs), health care purchasing models traditionally comprise mixtures of direct or indirect input-based arrangements (i.e. salaries, commodities, capital investments) directly covered and managed by national governments, and direct output-based fee for service payments (i.e. formal and informal user fees) [ 4, 5].
In our current study, we extended these findings by showing that not only do these dimensions cluster around research use but also that they and additional dimensions of context (i.e., formal interactions, informal interactions, and organizational slack) are important predictors of nurses' instrumental and/or conceptual research use.
Examples of such technologies include ontologies (i.e. formal descriptions of the meaning of concepts), mappings among concepts/terms used in heterogeneous systems with the same meaning (semantic mapping), query languages, knowledge representation formalisms such as rules, as well as automatic inference mechanisms.
