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At least 217 records · Page 12Linked to original sources

Radionuclide imaging.

Recent advances in nuclear cardiology have included the application of radionuclide imaging techniques to the detection of coronary artery disease. Exercise Thallium-201 myocardial imaging has proved a sensitive and specific test for the detection of significant coronary artery disease and allows differentiation between myocardial ischaemia and infarction. Other conditions affecting the myocardium may produce abnormal myocardial images but, with recognition of this and the variations seen in normal subjects, the diagnostic accuracy of Thallium-201 myocardial imaging compares favourably with exercise electrocardiography. The technique is particularly useful where the exercise electrocardiogram is non-diagnostic or equivocal. Preliminary results from application to screening asymptomatic subjects have been encouraging. Radionuclide ventriculography allows the assessment of global and regional left ventricular function. The development of new regional wall motion abnormalities during stress is a highly specific indicator of the presence of myocardial ischaemia, and combined with analysis of the left ventricular ejection fraction response to exercise provides a sensitive test for the detection of significant coronary artery disease. Probability theory allows consideration of the place of these techniques in the investigation of the individual with proven or suspected coronary artery disease.

Aerospace Medicine↗

Analysis of the occurrence of promoter-sites in DNA.

We show that the occurrence and homology score (1) of promoter-sites in DNA depends upon the base composition of the DNA. We used simple probability theory to calculate the mean homology score expected for all promoter-sites that had a specific match in the canonical hexamers. By using the square root of this mean score as a measure of significance, we objectively classify all promoter-sites which are reported. We tested the theoretical approach in two ways. First, we used the program (PROMSEARCH) to analyze approximately 150,000 base pairs of random sequence DNA with different base compositions and we found excellent agreement with the theoretical predictions. Our second test was the analysis of a number of sequences drawn from the GENBANK DNA sequence database. We have analyzed 20 bacterial and bacteriophage sequences, which consisted of at least one operon, for promoter-sites. We found no absolute preference for promoter-sites within noncoding regions. We show the results of analyzing the phages lambda, T7 and fd, and the E. coli lac operon. The major known promoters in these sequences were all found correctly. We discuss the question of the location of a number of minor promoter-sites and show how PROMSEARCH can be used to help identify the correct location of the promoter. This approach can be applied to the search for any DNA site and should allow greater objectivity when comparing DNA sequences for meaningful subsequences.

Bacteriophage lambda↗

Floods: some probabilistic and statistical approaches.

Some of the many statistical aspects of floods are discussed and some new results are given on a number of features. The probability theory of extreme values is briefly reviewed and its potential for applications outlined. The peaks-over-threshold method of estimation is compared with the direct use of annual maxima and some theoretical comparisons of efficiency are given. The effect of trend on the distribution of maxima is analysed in terms of a simple theoretical model distinguishing the effects of trend in mean level and of trend in dispersion. An empirical Bayes method for pooling information from a number of sources is described and illustrated, and related to the procedures recommended in the Flood estimation handbook. In the final section, a range of further issues is outlined.

Bayes Theorem↗

The role of soft computing in intelligent machines.

An intelligent machine relies on computational intelligence in generating its intelligent behaviour. This requires a knowledge system in which representation and processing of knowledge are central functions. Approximation is a 'soft' concept, and the capability to approximate for the purposes of comparison, pattern recognition, reasoning, and decision making is a manifestation of intelligence. This paper examines the use of soft computing in intelligent machines. Soft computing is an important branch of computational intelligence, where fuzzy logic, probability theory, neural networks, and genetic algorithms are synergistically used to mimic the reasoning and decision making of a human. This paper explores several important characteristics and capabilities of machines that exhibit intelligent behaviour. Approaches that are useful in the development of an intelligent machine are introduced. The paper presents a general structure for an intelligent machine, giving particular emphasis to its primary components, such as sensors, actuators, controllers, and the communication backbone, and their interaction. The role of soft computing within the overall system is discussed. Common techniques and approaches that will be useful in the development of an intelligent machine are introduced, and the main steps in the development of an intelligent machine for practical use are given. An industrial machine, which employs the concepts of soft computing in its operation, is presented, and one aspect of intelligent tuning, which is incorporated into the machine, is illustrated.

Algorithms↗

Detection of bovine leukemia virus proviral DNA in individual cells.

We have developed a method of analyzing individual cells to detect proviral DNA of the bovine leukemia virus (BLV) using flow cytometry and PCR. Individual cells of the BL3* cell line, which contain multiple integrated copies of the BLV provirus, and the uninfected cell line BL3(0), were sorted into wells of a 96-well plate. Following cell lysis, portions of the BLV envelope (ENV) and cellular prolactin (PRL) genes were amplified simultaneously using PCR. Viral and cellular products of first-round PCR were amplified separately in a second round of PCR using "heminested" primers. Separation of the PCR products by polyacrylamide gel electrophoresis yielded distinct fragments of the predicted sizes. The operational sensitivity of this method for the detection of virus was > 90% when testing single infected cells. In addition, we were able to reliably amplify DNA from a single BL3* cell among as many as 10(5) BL3(0) cells and established that the sensitivity for detecting a single infected cell among 20, 100, or 1000 uninfected cells was at least 90%. Estimates of low percentages of infected cells were obtained by applying probability theory to results of experiments conducted on wells containing more than one cell. Using these methods, B lymphocytes obtained from the peripheral blood of BLV-infected cattle were tested for proviral DNA. BLV ENV was identified in 76.9 +/- 4.9% of single B cells tested from a seropositive animal with persistent lymphocytosis (PL), but in only 0.033 +/- 0.009% of B cells from another seropositive cow without PL.(ABSTRACT TRUNCATED AT 250 WORDS)

Animals↗

Signal and background separation.

In many areas of research the measured spectra consist of a collection of "peaks"--the sought-for signals--which sit on top of an unknown background. The subtraction of the background in a spectrum has been the subject of many investigations and different techniques, varying from filtering to fitting polynomial functions, have been developed. These techniques yield results that are not always satisfactory and often even misleading. Based upon the rules of probability theory, we derive a formalism to separate the background from the signal part of a spectrum in a rigorous and self-consistent manner. We compare the results of the probabilistic approach to those obtained by two commonly used methods in an analysis of particle induced x-ray emission spectra.

Journal Article↗

Probabilistic approach to the Bak-Sneppen model.

We study here the Bak-Sneppen model, a prototype model for the study of self-organized criticality. In this model several species interact and undergo extinction with a power-law distribution of activity bursts. Species are defined through their "fitness" whose distribution in the system is uniform above a certain threshold. Run time statistics is introduced for the analysis of the dynamics in order to explain the peculiar properties of the model. This approach based on conditional probability theory, takes into account the correlations due to memory effects. In this way, we may compute analytically the value of the fitness threshold with the desired precision. This represents a substantial improvement with respect to the traditional mean field approach.

Journal Article↗

Flip dynamics in octagonal rhombus tiling sets.

We investigate the properties of classical single flip dynamics in sets of two-dimensional random rhombus tilings. Single flips are local moves involving three tiles which sample the tiling sets via Monte Carlo Markov chains. We determine the ergodic times of these dynamical systems (at infinite temperature): they grow with the system size N(T) like const.xN(2)(T)lnN(T); these dynamics are rapidly mixing. We use an inherent symmetry of tiling sets and a powerful tool from probability theory, the coupling technique. We also point out the interesting occurrence of Gumbel distributions.

Journal Article↗

Modeling surfactant adsorption on hydrophobic surfaces.

Surfactant adsorption on hydrophobic surfaces is of current interest in attempts to solubilize single-wall carbon nanotubes and to render quantum dots biocompatible. A coarse grained method is presented for incorporating a hydrophobic surface into existing liquid force fields by appealing to statistical mechanics and probability theory. The dimensionality problem which arises is overcome with an approximate treatment and the entire procedure is applied to aqueous n-alkyl poly(ethylene oxide) adsorbing onto a graphite surface. The simulations are in excellent agreement with atomic force microscopy data. The mechanism of micelle adsorption onto a partially coated surface is reported for the first time and has implications for the construction of nanotemplates.

Adsorption↗

An efficient molecular-replacement translation function based on the evaluation of direct-methods phase invariants.

Traditional molecular-replacement translation functions are based on direct- or reciprocal-space correlations between the observed diffraction amplitudes and the calculated amplitudes and phases of the symmetry-related molecular transforms of the search fragment as a function of the displacement vector. An alternative method that has been described is based on evaluating a list of phase invariants as a function of the position of the search model in the unit cell and seeking those regions which satisfy the expectation value of these invariants as predicted by probability theory. As originally formulated, this procedure required the iterative computation of the phases and the evaluation of the list of invariants as the search model was stepped over the grid points defining the asymmetric portion of the unit cell. A new computational procedure is described whereby the values of the invariants are expressed solely as a function of the displacement vector r as a Fourier series that can be evaluated by a standard fast Fourier transform (FFT) without having to compute and insert the values of the phases based on the search model at each grid point.

Crystallization↗

Ab initio phasing of a 4189-atom protein structure at 1.2 A resolution.

The phase problem remains a key rate-limiting step in the determination of macromolecular X-ray structures. Direct methods, applying probability theory to the native data set, can routinely solve structures of up to about 200 non-H atoms, although much larger structures have been solved given sufficiently high resolution data and the presence of heavy atoms. Here it is shown that maximum-likelihood refinement of free-atom models with ARP/wARP can solve ab initio a much larger metalloprotein structure than the largest so far solved by conventional direct methods. The protein, OppA, is not naturally associated with metal ions but was co-crystallized with uranium.

Bacterial Proteins↗

Probability modeling applied to CAD systems for mammography.

A practical model based on basic probability theory is developed to evaluate the operational and financial performance of mammography systems. The model is intended to be used by decision makers to evaluate overall sensitivity, overall specificity, positive and negative predictive values, and expected cost. As an illustration, computer aided detection (CAD) systems that support a radiologist's diagnosis are compared with standard mammography to determine conditions that would support their use. The model's input parameters include the operational performance of mammography (with and without CAD), the age of the patient, the cost of administering the mammogram and the expected costs associated with false positive and false negative outcomes. Sensitivity analyses are presented that show the CAD system projecting financial benefit over ranges of uncertainty associated with each model parameter.

Breast Neoplasms↗

Statistical potential for assessment and prediction of protein structures.

Protein structures in the Protein Data Bank provide a wealth of data about the interactions that determine the native states of proteins. Using the probability theory, we derive an atomic distance-dependent statistical potential from a sample of native structures that does not depend on any adjustable parameters (Discrete Optimized Protein Energy, or DOPE). DOPE is based on an improved reference state that corresponds to noninteracting atoms in a homogeneous sphere with the radius dependent on a sample native structure; it thus accounts for the finite and spherical shape of the native structures. The DOPE potential was extracted from a nonredundant set of 1472 crystallographic structures. We tested DOPE and five other scoring functions by the detection of the native state among six multiple target decoy sets, the correlation between the score and model error, and the identification of the most accurate non-native structure in the decoy set. For all decoy sets, DOPE is the best performing function in terms of all criteria, except for a tie in one criterion for one decoy set. To facilitate its use in various applications, such as model assessment, loop modeling, and fitting into cryo-electron microscopy mass density maps combined with comparative protein structure modeling, DOPE was incorporated into the modeling package MODELLER-8.

Computational Biology↗

Prediction of response to theophylline in chronic bronchitis.

In chronic bronchitis, intersubject variability in both theophylline pharmacokinetics and pharmacodynamics must be taken into account if the drug is to be used to its best advantage. Both kinds of variability can be integrated into a model which relates the steady state concentration of theophylline to simultaneously measured ventilatory response (most conveniently, the FVC). In a group of 56 patients with chronic bronchitis, the mean +/- s.d. linear response to increasing steady state concentrations of theophylline was 0.04 +/- 0.012 1 microgram-1 ml, starting from a mean +/- s.d. pretreatment FVC of 1.58 +/- 0.791. Using these population parameter values, with or without a pretreatment FVC and/or one steady state concentration -FVC observation, it was possible to predict the degree of response which would be achieved by a smaller group of 20 similar patients. These estimates were obtained using a mathematical procedure based on Bayesian Probability Theory and Maximum Likelihood Estimation. Estimates of the overall response in individual patients allowed prediction of the response at any steady state concentration. These estimates were unbiased and accurate enough for clinical use when they were based on a pretreatment FVC and/or one paired steady state concentration -FVC observation.

Aged↗

Computerized diagnosis: implications for clinical education.

The advent of the small computer as a basic clinical tool will have a significant impact on clinical practice and medical training. The application of probability theory to clinical diagnosis has led to the development of several practical diagnostic programs which run on small computers. Expert systems--interactive programs which function as 'electronic consultants'--have now been successfully developed for a number of clinical situations. Experience with two of these, INTERNIST/CADUCEUS and MYCIN, has provided insight into problems and prospects for expert systems in medicine. Less complex programs, particularly those employing clinical prediction rules, and expert system shells, seem well suited for clinical environments. Although computerized medical diagnosis holds great promise as an aid to clinicians, its success will largely be determined by the quality of the information that clinicians provide for analysis. A brief review of the status of bedside diagnosis reveals that data-gathering strategies and techniques must be better understood. In order to take full advantage of computer programs for diagnosis, basic diagnostic skills must be more heavily emphasized in clinical training.

Boston↗

Two items of evidence, no putative source: an inference problem in forensic intelligence.

Intelligence analysts commonly associate cases on the basis of similarities found in compared characteristics of scientific evidence. The present paper studies some of the inferential difficulties associated with such operations. An analysis is proposed that breaks down the reasoning process into inference to common source, and inference to case linkage. The former requires an approach to the difficulty associated with evaluating the similarities of items of evidence from different cases with no putative source being available. The latter requires consideration to be given to the relevance of evidence. Throughout the paper, probability theory is used to describe the nature of the proposed inferences. Graphical models are also introduced with the aim of providing further insight into the dependence and independence relationships assumed to hold among the various propositions considered. Notions from decision theory are used to discuss ways in which intelligence analysts may assist investigators in deciding whether or not cases should be considered as linked.

Bayes Theorem↗

Science and psychoanalysis.

A philosophical approach is suggested which regards scientific laws as based upon the structure of the universe but fully open-ended in that the structure does not determine what must occur but only what cannot occur. There are thus infinite future possibilities but nevertheless a firm orderly system which permits reliable expectations within the limits of the system while at the same time there is scope for free will in a real sense. Such a view admits the limitations of a falsification-of-hypotheses approach to research insofar as it depends upon the single-case basis of refutation. However it finds no problems with regard to a multivariate analysis of data assessed in terms of probability theory and considered in relation to its consistency with the total body of scientific theory, which it sees as having its basis in a 'thingness' concept that is both fundamental in our perceptual activity and acceptable as a basis for understanding the systematic orderliness of our mental experiences.

Cognition↗

The generation of resting membrane potentials in an inner ear hair cell system.

1. The macula sacculi in the mudpuppy is an inner ear sensory area accessible for intracellular recordings in vitro and in vivo. 2. The resting potentials recorded in vitro can be explained by the electrodiffusion theory assuming a uniform ionic selective in the membranes of the neuroepithelial cells. 3. The resting potentials recorded in vivo are significantly larger than predicted by the electrodiffusion theory, probably because of an electrogenic metabolic process present in the neuroepithelial cells. 4. An equivalent circuit is proposed to explain the resting electrogenesis in the neuroepithelial cells present in the sensory area.

Animals↗