An Extensible Meta-Model for Program Analysis

Software maintenance tools for program analysis and refactoring rely on a metamodel capturing the relevant properties of programs. However, what is considered relevant may change when the tools are extended with new analyses, refactorings, and new programming languages. This paper proposes a language independent metamodel and an architecture to construct instances thereof, which is extensible for new analyses, refactorings, and new front-ends of programming languages. Due to the loose coupling between analysis, refactoring, and front-end components, new components can be added independently and reuse existing ones. Two maintenance tools implementing the metamodel and the architecture, VIZZANALYZER and X-DEVELOP, serve as proof of concept.     

An Extensible Metamodel for Program Analysis (abstract only)

Software maintenance tools for program analysis and refactoring rely on a metamodel capturing the relevant properties of programs. However, what is considered relevant may change when the tools are extended with new analyses, refactorings, and new programming languages. This paper proposes a language independent metamodel and an architecture to construct instances thereof, which is extensible for new analyses, refactorings, and new front-ends of programming languages. Due to the loose coupling between analysis, refactoring, and front-end components, new components can be added independently and reuse existing ones. Two maintenance tools implementing the metamodel and the architecture, VlZZANALYZER and X-DEVELOP, serve as proof of concept.     

Diarylsulfonamides as selective, non-peptidic thrombin inhibitors

Based on the structures of aminopyridine thrombin inhibitors (1), a series of aminoalkyl- and guanidinoalkyl-substituted diarylsulfonamides were prepared. The most potent derivative, N-[3-(4-guanidinobutoxy)-5-methyl-phenyl]-benzenesulfonamide (6c) had Ki = 0.18 microM for thrombin and did not inhibit trypsin, plasmin, or factor Xa. Comparison of the X-ray structures of the thrombin/1b and the thrombin/6c complexes revealed important aspects which govern the binding of such diarylsulfonamides to thrombin.     

Iontophoresis from a micropipet into a porous medium depends on the ζ-potential of the medium

Iontophoresis uses electricity to deliver solutes into living tissue. Often, iontophoretic ejections from micropipets into brain tissue are confined to millisecond pulses for highly localized delivery, but longer pulses are common. As hippocampal tissue has a ζ-potential of approximately -22 mV, we hypothesized that, in the presence of the electric field resulting from the iontophoretic current, electroosmotic flow in the tissue would carry solutes considerably farther than diffusion alone. A steady state solution to this mass transport problem predicts a spherically symmetrical solute concentration profile with the characteristic distance of the profile depending on the ζ-potential of the medium, the current density at the tip, the tip size, and the solute electrophoretic mobility and diffusion coefficient. Of course, the ζ-potential of the tissue is defined by immobilized components of the extracellular matrix as well as cell-surface functional groups. As such, it cannot be changed at will. Therefore, the effect of the ζ-potential of the porous medium on ejections is examined using poly(acrylamide-co-acrylic acid) hydrogels with various magnitudes of ζ-potential, including that similar to hippocampal brain tissue. We demonstrated that nearly neutral fluorescent dextran (3 and 70 kD) solute penetration distance in the hydrogels and OHSCs depends on the magnitude of the applied current, solute properties, and, in the case of the hydrogels, the ζ-potential of the matrix. Steady state solute ejection profiles in gels and cultures of hippocampus can be predicted semiquantitatively.     

Rapid prototyping of an EEG-based brain-computer interface (BCI)

The electroencephalogram (EEG) is modified by motor imagery and can be used by patients with severe motor impairments (e.g., late stage of amyotrophic lateral sclerosis) to communicate with their environment. Such a direct connection between the brain and the computer is known as an EEG-based brain-computer interface (BCI). This paper describes a new type of BCI system that uses rapid prototyping to enable a fast transition of various types of parameter estimation and classification algorithms to real-time implementation and testing. Rapid prototyping is possible by using Matlab, Simulink, and the Real-Time Workshop. It is shown how to automate real-time experiments and perform the interplay between on-line experiments and offline analysis. The system is able to process multiple EEG channels on-line and operates under Windows 95 in real-time on a standard PC without an additional DSP board. The BCI can be controlled over the Internet, LAN or modem. This BCI was tested on 3 subjects whose task it was to imagine either left or right hand movement. A classification accuracy between 70% and 95% could be achieved with two EEG channels after some sessions with feedback using an adaptive autoregressive model and linear discriminant analysis     

Production of sequence specific polyclonal antibodies to human parathyroid hormone 1-37 by immunization with multiple antigenic peptides

To generate site-specific antibodies to the N-terminal bioactive fragment of the parathyroid hormone hPTH 1-37, multiple antigenic peptide systems (MAP) for immunization were used. Two 10 residue fragments and a 14 residue fragment derived from knowledge of the secondary structure of hPTH 1-37 were selected to be synthesized as MAPs. Each peptide (hPTH 1-10, hPTH 9-18, and hPTH 24-37) was synthesized directly onto a branching heptalysine core matrix by automated solid phase synthesis. The hPTH 1-10 and the hPTH 24-37 MAP were highly immunogenic in rabbits. Ten polyclonal antisera obtained from rabbits were characterized by epitope mapping. Antigenic determinants were found as follows: 1) Sera K1-K3 raised to MAP 1-10 showed a predominant binding sequence at hPTH 1-5. 2) Sera K4-K6 raised to MAP 8-18 preferentially bound to residues 9-14. 3) Immunizing with hPTH 24-37 MAP led to antisera characterized as follows: serum K7 recognized residues 24-37, the sequence used for immunization, sera K8, K9 and K10 bound to residues 24-37 and 26-34. In summary, the favoured regions as deduced from the secondary structure of hPTH 1-37 were covered by the produced antibodies.     

Youth privacy when educational records include psychological records.

The Family Educational Rights and Privacy Act of 1974 (FERPA; 20 U.S.C. § 1232g; 34 CFR Part 99) is an early and comprehensive federal statute protecting the privacy and release of educational records. FERPA provides parents or eligible students the right to restrict the release of educational records without their written approval; inspect any educational record; and request that the records be changed if the information is inaccurate, misleading, or violates the students’ privacy. When educational records include psychological records, FERPA rules will apply to psychological records as well, even though FERPA rules are sometimes misaligned with APA’s Ethical Principles of Psychologists and Code of Conduct. These conflicts can be prevented by responsible psychological practices that foster strong partnerships with parents on behalf of their children, respect parents’ and students’ right to be informed about the records that are kept on their behalf, and honor their rights to privacy for information that is immaterial to educational decisions. (PsycINFO Database Record (c) 2011 APA, all rights reserved)     

Increasing the efficiency of in-capillary electrophoretically mediated microanalysis reactions via rapid polarity switching

We report herein a new approach to enhance the sensitivity or speed of CE-based methods that involve in-line reactions. Rapid polarity switching (RPS) is used as a novel means for in-line mixing of two reactant solutions via rapid (1-5 s) and sequential switching of the applied potential field. By employing the RPS approach with a model chemical reaction, that between creatinine and alkaline picrate, significant enhancement in sensitivity (or a decrease in analysis time) is realized. Both increased convection and electrophoretic stacking of the ionic reagent appear to contribute to the rise in apparent reaction rate. When coupled with in-line chemistry of the Jaffe method for creatinine, the RPS methodology allows for 3-fold faster determination of creatinine in the concentration range needed for the analysis of clinical blood serum specimens. The new approach also allows the analysis to be performed without the need for the cumbersome and problematic enhanced sensitivity cell.