The aditi deductive database system

Deductive databases generalize relational databases by providing support for recursive views and non-atomic data. Aditi is a deductive system based on the client-server model; it is inherently multi-user and capable of exploiting parallelism on shared-memory multiprocessors. The back-end uses relational technology for efficiency in the management of disk-based data and uses optimization algorithms especially developed for the bottom-up evaluation of logical queries involving recursion. The front-end interacts with the user in a logical language that has more expressive power than relational query languages. We present the structure of Aditi, discuss its components in some detail, and present performance figures.     

Structure-oriented rational design of chymotrypsin inhibitor models

Three peptides modelling a highly potent, 35-residue chymotrypsininhibitor (Schistocerca gregaria chymotrypsin inhibitor) weredesigned and synthesized by convergent peptide synthesis. Foreach model peptide, the inhibitory constant (K_i) on chymotrypsinand the solution structure were determined. In addition, moleculardynamics calculations were performed for all of them. Two modelscontaining approximately half of the parent inhibitor (17 of35 residues) were designed and subsequently found to have nosubstantial inhibitory activity (K_i values in the mM range).The third model composed of 24 amino acid residues proved tobe an effective (K_i 10^–7) inhibitor of bovine chymotrypsin.Both the solution structure properties determined by NMR spectroscopyand the dynamic behaviour of the latter model system are comparableto the native inhibitor. In contrast, the structure and dynamicsof the first two related model peptides show characteristicdifferences. We suggest that the conformation and flexibilityof the modelled protease inhibitor are crucial for its biologicalefficiency. Moreover, the structural and dynamic features ofthe binding loop (28–33) and those of the rest of themolecule appear to be interdependent. Most importantly, thesestructural characteristics can be rationally modified, at leastpartially, by peptide design. Received March 7, 2003; revised August 25, 2003; accepted August 26, 2003.     

Adenosine triphosphate (ATP) and other nucleotides stimulate the hydrolysis of phosphatidylethanolamine in intact fibroblasts

Addition of adenosine triphosphate (ATP) to [¹⁴C]ethanolamine-prelabeled NIH 3T3 fibroblasts resulted in rapid formation of [¹⁴C]ethanolamine from the prelabeled cellular phosphatidylethanolamine (PtdEtn) pool. After 2-min exposure, 10 μM ATP had near maximal effects on PtdEtn hydrolysis. Several other nucleotides, including UTP, ITP, and the stable ATP analog adenosine 5′-O-(3-thiotriphosphate) (ATPγS), also had stimulatory effects on PtdEtn hydrolysis with a potency comparable to that observed with ATP. The same nucleotides which acted on PtdEtn hydrolysis also had similar stimulatory effects on the hydrolysis of phosphatidylcholine (PtdCho) in [¹⁴C]choline-labeled cells. In isolated membranes, Mg²⁺ greatly enhanced the stimulatory effects of ATP and ATPγS, but not of other nucleotides, on the hydrolysis of PtdEtn and PtdCho. Results indicate that in isolated membranes, both ATP and ATPγS stimulate phospholipid hydrolysis by two different mechanisms, but in intact cells only one of these mechanisms appears to be responsive to externally added nucleotides.     

Determination of trace manganese and Ni in neem oil by ETA-AAS with emulsion sample introduction

An emulsion-based method was developed as an alternative for the introduction of oil-based samples into a graphite furnace to produce a more rapid, precise, and accurate method of analysis. The combination of emulsion sampling and electrothermal atomization for atomic absorption spectroscopy was developed and then applied to the determination of Ni and manganese in neem oil from Venezuela. The optimal concentration of neem oil in the emulsion was 30 and 4% for Ni and Mn, respectively, based on the metal concentration of the neem oil. The stability of the emulsion as a function of time was evaluated. The use of aqueous calibration solutions and the accuracy attained using this method make it attractive for the analysis of oil samples. The metal recovery was between 97 and 101%. Based on the emulsion method, the neem oil samples had 1.39 and 0.21 mg of Mn and Ni per kg of oil, respectively. The wet digestion method indicated a Mn and Ni concentration in the neem oil sample of 1.42 and 0.24 mg/kg, respectively.     

Parametric estimation of affine deformations of planar shapes

We consider the estimation of affine transformations aligning a known 2D shape and its distorted observation. The classical way to solve this registration problem is to find correspondences between the shapes and then compute the transformation parameters from these landmarks. Here we propose a novel approach where the exact transformation is obtained as the solution of a polynomial system of equations. The method has been tested on synthetic as well as on real images and its robustness in the presence of segmentation errors and additive geometric noise has also been demonstrated. We have successfully applied the method for the registration of hip prosthesis X-ray images. The advantage of the proposed solution is that it is fast, easy to implement, has linear time complexity, works without established correspondences and provides an exact solution regardless of the magnitude of transformation.     

An Analytical Method for Predicting the Performance of Parallel Image Processing Operations

This paper presents an analytical performance prediction model and methodology that can be used to predict the execution time, speedup, scalability and similar performance metrics of a large set of image processing operations running on a p-processor parallel system. The model which requires only a few parameters obtainable on a minimal system can help in the systematic design, evaluation and performance tuning of parallel image processing systems. Using the model one can reason about the performance of a parallel image processing system prior to implementation. The method can also support programmers in detecting critical parts of an implementation and system designers in predicting hardware performance and the effect of hardware parameter changes on performance. The execution of parallel image processing operations was studied and operations were arranged in three main problem classes based on data locality and the communication patterns of the algorithms. The core of the method is the derivation of the overhead function, as it is the overhead that determines the achievable speedup. The overheads were examined and modelled for each class. The use of the method is illustrated by four class-representative image processing algorithms: image-scalar addition, convolution, histogram calculation and the Fast Fourier Transform. The developed performance model has been validated on a 16-node parallel machine and it has been shown that the model is able to predict the parallel run-time and other performance metrics of parallel image processing operations accurately.     

Technology commercialization on campus: twentieth century frameworks and twenty-first century blind spots

This paper uses an interpretive analysis to exam past and present developments in knowledge commercialization and provide researchers, policy makers, and university leaders an alternative framework. The model is based on historical precedent, and current economic realities, for effectively commercializing knowledge in the entrepreneurial age. While traditional technology transfer focused on an organizational centric approach, we propose an individual centric model of technology commercialization from universities. The move from an organization centric model to an individual centric model will likely follow past eras of change and innovation in higher education. The challenge for regional and university leadership is clear. Find methods and models for unleashing the knowledge across campus to solve local and regional challenges.