This study aims to validate the Object-Oriented User Interface Customization(OOUIC)framework by employing Use Case Analysis(UCA)to facilitate the development of adaptive User Interfaces(UIs).The OOUIC framework advoca...This study aims to validate the Object-Oriented User Interface Customization(OOUIC)framework by employing Use Case Analysis(UCA)to facilitate the development of adaptive User Interfaces(UIs).The OOUIC framework advocates for User-Centered Design(UCD)methodologies,including UCA,to systematically identify intricate user requirements and construct adaptive UIs tailored to diverse user needs.To operationalize this approach,thirty users of Product Lifecycle Management(PLM)systems were interviewed across six distinct use cases.Interview transcripts were subjected to deductive content analysis to classify UI objects systematically.Subsequently,adaptive UIs were developed for each use case,and their complexity was quantitatively compared against the original system UIs.The results demonstrated a significant reduction in complexity across all adaptive UIs(Mean Difference,MD=0.11,t(5)=8.26,p<0.001),confirming their superior efficiency.The findings validate the OOUIC framework,demonstrating that UCD effectively captures complex requirements for adaptive UI development,while adaptive UIs mitigate interface complexity through object reduction and optimized layout design.Furthermore,UCA and deductive content analysis serve as robust methodologies for object categorization in adaptive UI design.Beyond eliminating redundant elements and prioritizing object grouping,designers can further reduce complexity by adjusting object dimensions and window sizing.This study underscores the efficacy of UCA in developing adaptive UIs and streamlining complex interfaces.Ultimately,UCD proves instrumental in gathering intricate requirements,while adaptive UIs enhance usability by minimizing object clutter and refining spatial organization.展开更多
In this paper, the eigen function expansions of displacements and stresses of bi-metal laminates with interface cracks are obtained. Furthermore, the stress intensity factors are determined by the variational method t...In this paper, the eigen function expansions of displacements and stresses of bi-metal laminates with interface cracks are obtained. Furthermore, the stress intensity factors are determined by the variational method to satisfy the boundary conditions and there are only line integrals in the variational equations due to the previous satisfaction of all basic equations. The computations show that this method of solution has the advantages of rapid convergency and time-saving. The results obtained by this method for homogeneous material agree with the known ones very well.展开更多
Background： Protein-protein interactions are essential to many biological processes. The binding site information of protein-protein complexes is extremely useful to obtain their structures from biochemical experimen...Background： Protein-protein interactions are essential to many biological processes. The binding site information of protein-protein complexes is extremely useful to obtain their structures from biochemical experiments. Geometric description of protein structures is the precondition of protein binding site prediction and protein-protein interaction analysis. The previous description of protein surface residues is incomplete, and little attention are paid to the implication of residue types for binding site prediction. Methods： Here, we found three new geometric features to characterize protein surface residues which are very effective for protein-protein interface residue prediction. The new features and several commonly used descriptors were employed to train millions of residue type-nonspecific or specific protein binding site predictors. Results： The amino acid type-specific predictors are superior to the models without distinction of amino acid types. The performances of the best predictors are much better than those of the sophisticated methods developed before. Conclusions： The results demonstrate that the geometric properties and amino acid types are very likely to determine if a protein surface residue would become an interface one when the protein binds to its partner.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.72301061).
文摘This study aims to validate the Object-Oriented User Interface Customization(OOUIC)framework by employing Use Case Analysis(UCA)to facilitate the development of adaptive User Interfaces(UIs).The OOUIC framework advocates for User-Centered Design(UCD)methodologies,including UCA,to systematically identify intricate user requirements and construct adaptive UIs tailored to diverse user needs.To operationalize this approach,thirty users of Product Lifecycle Management(PLM)systems were interviewed across six distinct use cases.Interview transcripts were subjected to deductive content analysis to classify UI objects systematically.Subsequently,adaptive UIs were developed for each use case,and their complexity was quantitatively compared against the original system UIs.The results demonstrated a significant reduction in complexity across all adaptive UIs(Mean Difference,MD=0.11,t(5)=8.26,p<0.001),confirming their superior efficiency.The findings validate the OOUIC framework,demonstrating that UCD effectively captures complex requirements for adaptive UI development,while adaptive UIs mitigate interface complexity through object reduction and optimized layout design.Furthermore,UCA and deductive content analysis serve as robust methodologies for object categorization in adaptive UI design.Beyond eliminating redundant elements and prioritizing object grouping,designers can further reduce complexity by adjusting object dimensions and window sizing.This study underscores the efficacy of UCA in developing adaptive UIs and streamlining complex interfaces.Ultimately,UCD proves instrumental in gathering intricate requirements,while adaptive UIs enhance usability by minimizing object clutter and refining spatial organization.
文摘In this paper, the eigen function expansions of displacements and stresses of bi-metal laminates with interface cracks are obtained. Furthermore, the stress intensity factors are determined by the variational method to satisfy the boundary conditions and there are only line integrals in the variational equations due to the previous satisfaction of all basic equations. The computations show that this method of solution has the advantages of rapid convergency and time-saving. The results obtained by this method for homogeneous material agree with the known ones very well.
文摘Background： Protein-protein interactions are essential to many biological processes. The binding site information of protein-protein complexes is extremely useful to obtain their structures from biochemical experiments. Geometric description of protein structures is the precondition of protein binding site prediction and protein-protein interaction analysis. The previous description of protein surface residues is incomplete, and little attention are paid to the implication of residue types for binding site prediction. Methods： Here, we found three new geometric features to characterize protein surface residues which are very effective for protein-protein interface residue prediction. The new features and several commonly used descriptors were employed to train millions of residue type-nonspecific or specific protein binding site predictors. Results： The amino acid type-specific predictors are superior to the models without distinction of amino acid types. The performances of the best predictors are much better than those of the sophisticated methods developed before. Conclusions： The results demonstrate that the geometric properties and amino acid types are very likely to determine if a protein surface residue would become an interface one when the protein binds to its partner.
