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Declarative simulation of dynamicals systems: the 812 programming language and its application to the simulation of genetic networks.

A major part of biological processes can be modeled as dynamical systems (DS), that is, as a time-varying state. In this article, we advocate a declarative approach for prototyping the simulation of DS. We introduce the concepts of collection, stream and fabric. A fabric is a multi-dimensional object that represents the successive values of a structured set of variables. A declarative programming language, called 8 1/2 has been developed to support the concept of fabrics. Several examples of working 8 1/2 programs are given to illustrate the relevance of the fabric data structure for simulation applications and to show how recursive fabric definitions can be easily used to model various biological phenomena in a natural way (a resolution of PDE, a simulation in artificial life, the Turing diffusion-reaction process and various examples of genetic networks). In the conclusion, we recapitulate several lessons we have learned from the 8 1/2 project.

Programming Languages↗

Evaluation of a language program for young autistic children.

This report presents retrospective data comparing an individualized language development program for preschool autistic children receiving language remediation (experimental subjects) with a group receiving the basic school curriculum only (control subjects). All findings favored the language remediation group, as indicated: (1) experimental subjects made significant gains in one year while the control group required two years; (2) after one year, experimental subjects surpassed controls on four measures; (3) only experimental subjects made significant gains in communicative speech, noteworthy because interpersonal interaction is so difficult for the autistic child; and (4) after two years, 58% of the experimental subjects, but only 14% of the controls, had mastered all seven skills. These results support the hypothesis that an individualized language remediation program facilitates the acquisition of prelinguistic and linguistic skills.

Autistic Disorder↗

Molecular dynamics simulation on a network of workstations using a machine-independent parallel programming language.

Molecular dynamics simulations investigate local and global motion in molecules. Several parallel computing approaches have been taken to attack the most computationally expensive phase of molecular simulations, the evaluation of long range interactions. This paper develops a straightforward but effective algorithm for molecular dynamics simulations using the machine-independent parallel programming language, Linda. The algorithm was run both on a shared memory parallel computer and on a network of high performance Unix workstations. Performance benchmarks were performed on both systems using two proteins. This algorithm offers a portable cost-effective alternative for molecular dynamics simulations. In view of the increasing numbers of networked workstations, this approach could help make molecular dynamics simulations more easily accessible to the research community.

Algorithms↗

A C-language program for the computation of power spectra on a laboratory microcomputer.

A computer program is described which performs power-spectral analyses on time-domain data. The program is written in the C language and incorporates an algorithm for the fast Fourier transform translated from BASIC into C. Sequential segments of time-domain data are accessed by the program, transformed to the frequency domain, and ensemble-averaged to generate smoothed spectra. Specific application of the program to the detection of high-frequency oscillations in the phrenic neurogram of the cat is addressed. Thus, 100 successive 512-point fast Fourier transforms were found to accurately reveal the relative strength (power) and frequency position (spectrum) of multiple peaks in this respiratory motor pathway. Because C language programs are very transportable, this program should run on machines other than our LSI 11/23, provided a C-compiler is available.

Animals↗

Spike-train acquisition, analysis and real-time experimental control using a graphical programming language (LabView).

A solution is described for the acquisition on a personal computer of standard pulses derived from neuronal discharge, measurement of neuronal discharge times, real-time control of stimulus delivery based on specified inter-pulse interval conditions in the neuronal spike train, and on-line display and analysis of the experimental data. The hardware consisted of an Apple Macintosh IIci computer and a plug-in card (National Instruments NB-MIO16) that supports A/D, D/A, digital I/O and timer functions. The software was written in the object-oriented graphical programming language LabView. Essential elements of the source code of the LabView program are presented and explained. The use of the system is demonstrated in an experiment in which the reflex responses to muscle stretch are assessed for a single motor unit in the human masseter muscle.

Action Potentials↗

Molecular dynamics simulation on a network of workstations using a machine-independent parallel programming language.

Molecular dynamics simulations investigate local and global motion in molecules. Several parallel computing approaches have been taken to attack the most computationally expensive phase of molecular simulations, the evaluation of long range interactions. This paper reviews these approaches and develops a straightforward but effective algorithm using the machine-independent parallel programming language, Linda. The algorithm was run both on a shared memory parallel computer and on a network of high performance Unix workstations. Performance benchmarks were performed on both systems using two proteins. This algorithm offers a portable cost-effective alternative for molecular dynamics simulations. In view of the increasing numbers of networked workstations, this approach could help make molecular dynamics simulations more easily accessible to the research community.

Algorithms↗

Computationally intensive econometrics using a distributed matrix-programming language.

This paper reviews the need for powerful computing facilities in econometrics, focusing on concrete problems which arise in financial economics and in macroeconomics. We argue that the profession is being held back by the lack of easy-to-use generic software which is able to exploit the availability of cheap clusters of distributed computers. Our response is to extend, in a number of directions, the well-known matrix-programming interpreted language Ox developed by the first author. We note three possible levels of extensions: (i) Ox with parallelization explicit in the Ox code; (ii) Ox with a parallelized run-time library; and (iii) Ox with a parallelized interpreter. This paper studies and implements the first case, emphasizing the need for deterministic computing in science. We give examples in the context of financial economics and time-series modelling.

Computer Communication Networks↗

Programming languages.

This article focuses on the strengths and shortcomings of application languages as they are used in general purpose computers, on the strategies for their use, and on how they impact laboratory and medical systems. The author describes the reason why we are where we are at the present stage of computer languages and suggests where we might expect to be in the foreseeable future.

Clinical Laboratory Information Systems↗

Academic success of integrated hearing-impaired pupils who had enrolled in the early written-oral language program.

Data on academic success were analyzed for 37 hearing-impaired pupils who had been trained by the Written-Oral Language Method before school age. Seventy-one percent of pupils whose average hearing level was less than 89 dB and 77% of pupils whose hearing was 90 to 120 dB succeeded academically. Degree of hearing impairment, speech intelligibility, and gender were not important to their success. Linguistic competence evaluated just before enrollment in a normal educational setting at 6 years of age was the only factor significant to their academic success. However, we propose that the investigation of other factors, IQ and age at the start of preschool training program, must be analyzed in more detail in the future.

Child Language↗