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This study aimed to evaluate the integrated selection process for medicine introduced at UNSW in 2003 by determining the predictive validity of prior academic performance UAI, UMAT and interview, controlling for student gender, country of birth, educational background and rurality.
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Comparison of the first cohort admitted using the new integrated selection process (2003) with those previously admitted using the UAI alone (2002) showed no statistically different changes in socio-demographic characteristics.
Thus, the new integrated selection system opened up more than half of the previous places offered on the basis of UAI alone to applicants with a broader range of capabilities, attributes, and abilities, without major changes to socio-demographic characteristics.
As the interaction between solute, solvent and membrane material on the separation behaviour of the membrane is substantial, an integrated selection of membrane and solvent for a targeted rejection of a solute might lead to large improvements.
Results indicate promising validity for an integrated selection process introduced for the Medicine Program at UNSW, with UAI and interview predictive of learning outcomes.
The integrated core selection and mapping problem takes as input the application task graph, topology graph and a core library.
The integrated feature selection and classification algorithm is capable of identifying significant genes.
Further longitudinal research is proposed to monitor and improve the validity of the integrated student selection process.
The TSP family, mRMR, doublets [ 32], nonlinear integrated selection [ 33], binary matrix shuffling filter (BMSF) [ 34], and TSG all take interactions into consideration.
Although not predictive, UMAT may have other useful roles in an integrated selection process.
FunPat exploits functional annotations by performing for each functional term, e.g. a Gene Ontology term, an integrated selection-clustering analysis to select differentially expressed genes that share, besides annotation, a common dynamic expression profile.
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