Hierarchically porous metal-organic frameworks (H-MOFs) with micro-, meso- and macropores have emerged as a popular class of crystalline materials that attracted extensive interests, they been studied in diverse applications, especially heterogeneous catalysis. The hierarchical structures enable sufficient diffusion accessibility to the active sites molecules permit encapsulation catalytic gues...

Protein secondary structure (SS) prediction is important for studying protein structure and function. When only the sequence (profile) information is used as input feature, currently the best predictors can obtain ~80% Q3 accuracy, which has not been improved in the past decade. Here we present DeepCNF (Deep Convolutional Neural Fields) for protein SS prediction. DeepCNF is a Deep Learning exte...

The present study examined the effects of cognitive impairment and functional limitation on depressive symptoms among older Korean American immigrants. The sample was drawn from a cross-sectional survey of 210 older Korean immigrants (aged 65 years or older) in Los Angeles County. Based on robust hierarchical regression, the study found that cognitive ability and functional status were signific...

Distributed, Web-based Microstructure Database for Brain Tissue. (May 2000) Wonryull Koh, B.S.; B.S., The University of Texas at Austin Chair of Advisory Committee: Dr. Bruce H. McCormick A finite element model of the cerebral cortex enables a structured visualization of its gross anatomy and provides access to the neuronal databases associated with each finite element of tissue. Partitioned by...

Fluid catalytic cracking (FCC) particles account for 40 to 45% of worldwide gasoline production. The hierarchical complex particle pore structure allows access of long-chain feedstock molecules into active catalyst domains where they are cracked into smaller, more valuable hydrocarbon products (for example, gasoline). In this process, metal deposition and intrusion is a major cause for irrevers...