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The present paper investigates the computer based instruction and its effectiveness on achievement of students in mathematics. Computer based instruction enables the students to learn by self-evaluating and reflecting on their learning process. Mathematics achievement plays a very important role in the attainment of the ideal of harmonious development of a(More)
Mobile clients feature increasingly sophisticated wireless networking support that enables real-time information exchange with remote databases. Location-dependent queries, such as determining the proximity of stationary objects (e.g., restaurants and gas stations) are an important class of inquiries. We present a novel approach to support nearest neighbor(More)
Many increasingly prevalent diseases share a common risk factor: age. However, little is known about pharmaceutical interventions against aging, despite many genes and pathways shown to be important in the aging process and numerous studies demonstrating that genetic interventions can lead to a healthier aging phenotype. An important challenge is to assess(More)
We used the machine learning-based binding affinity prediction method RF-Score v.2 (Ballester et al. 2014) shown to have high prediction accuracy. This machine-learning scoring function was trained on the files from the PDBbind database (Wang et al. 2004), and requires structure-ligand complexes in that format. Since most complexes of interest are not in(More)
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