Right ventricular myocardial responses to progressive exercise in young adult males.

Recent attention has been focused on possible unique features of the right ventricular response to exercise. This study investigated a) the responses of right ventricular cardiac dynamics and myocardial function to a standard bout of progressive cycle exercise in healthy young males, and b) the effect of level of aerobic fitness on these responses. 14 athletically-trained males (20.4±1.5 years) and 11 normally-active males (21.1±1.3 years) underwent a progressive upright cycle test to exhaustion with measurement of gas exchange variables and assessment of right ventricular stroke volume, systolic and diastolic myocardial velocities, and tricuspid inflow velocities by standard Doppler echocardiographic techniques at rest, submaximal and peak exercise. Stroke volume rose initially by approximately 27% in each group, followed by stable values to exhaustion. Values of maximal stroke index and maximal oxygen uptake were significantly greater in the trained group than the normally-active males (62±10 ml m(-2), 54.3±4.0 ml kg(-1) min(-1); 49±7 ml m(-2), 40.3±5.6 ml kg(-1) min(-1), respectively). No significant differences were observed in increases in systolic or diastolic myocardial velocities, peak pulmonary outflow velocity, systolic ejection rate, or tricuspid inflow velocity between the 2 groups. The magnitude of change of these variables was similar to those previously described for left ventricular responses to similar exercise. This study revealed no unique features of right ventricular functional responses to an acute exercise challenge in young males.

Endoscopic findings in Cowden syndrome.

Cowden syndrome is characterized by diffuse hamartomas involving the whole digestive tract. The gastrointestinal expression of the disease is inconstant, but hamartomatous polyposes are frequent. In a multicenter study we studied the endoscopic appearance of Cowden syndrome--as defined by fulfillment of international consortium criteria--in 10 patients. In 6 of the 10 patients the connection with Cowden syndrome was made retrospectively on the basis of the gastrointestinal endoscopic findings. All patients had upper and lower gastrointestinal tract involvement. Mean follow-up duration was 9.5 years (range: 2-26 years). Mean age was 37 years (range: 18-56 years). Polyps of the upper gastrointestinal tract were hamartomas, ganglioneuromas, lipomas, and adenomas. Diffuse glycogenic acanthosis was reported in nine patients. Besides the classical hamartomatous polyposis, diffuse macroscopic esophageal acanthosis and microscopic ganglioneuromatosis are other key findings associated with a diagnosis of Cowden syndrome. Physicians should be aware of these characteristics in order to diagnose Cowden syndrome early.

Superadditive effects of multiple lesions in a connectionist architecture: implications for the neuropsychology of optic aphasia.

Neuropsychological disorders have traditionally been understood in terms of a focal lesion to a single component of a cognitive architecture. Optic aphasia (OA) defies explanation in this way. In OA, naming of visual stimuli is impaired in the absence of general visual agnosia or anomia. OA has been explained by positing multiple semantic systems or multiple functional pathways to visual naming. M. J. Farah (1990) instead sketched a parsimonious account based on multiple lesions--to pathways mapping visual input to semantic and semantics to naming responses--and the assumption that the effects of the lesions are superadditive. The authors demonstrate superadditive effects of damage in a connectionist architecture and model other phenomena associated with OA. Multiple lesions with superadditivity provide a novel class of explanations for neuropsychological deficits that previously seemed to imply the existence of highly specialized processing components.

Types and tokens in visual letter perception.

Five experiments demonstrate that in briefly presented displays, subjects have difficulty distinguishing repeated instances of a letter or digit (multiple tokens of the same type). When subjects were asked to estimate the numerosity of a display, reports were lower for displays containing repeated letters, for example, DDDD, than for displays containing distinct letters, for example, NRVT. This homogeneity effect depends on the common visual form of adjacent letters. A distinct homogeneity effect, one that depends on the repetition of abstract letter identities, was also found: When subjects were asked to report the number of As and Es in a display, performance was poorer on displays containing two instances of a target letter, one appearing in uppercase and the other in lowercase, than on displays containing one of each target letter. This effect must be due to the repetition of identities, because visual form is not repeated in these mixed-case displays. Further experiments showed that this effect was not influenced by the context surrounding the target letters, and that it can be tied to limitations in attentional processing. The results are interpreted in terms of a model in which parallel encoding processes are capable of automatically analyzing information from several regions of the visual field simultaneously, but fail to accurately encode location information. The resulting representation is thus insufficient to distinguish one token from another because two tokens of a given type differ only in location. However, with serial attentional processing multiple tokens can be kept distinct, pointing to yet another limit on the ability to process visual information in parallel.

Letter migration in word perception.

These experiments demonstrate that the perception of two distinct words in a briefLy presented display can interact, causing perceptual migrations of letters from one word to the other. For example, when LINE and LACE are presented, subjects might report seeing LICE or LANE instead of LINE. Several properties of the letter migrations were revealed: (a) Migrations are more frequent when the words are separated by smaller physical distances; (b) a majority of the migrations are a result of letters being copied from one word to the other, not from the interchange of letters of the two words; (c) migrations to a word are less frequent when subjects focus attention on that word; and (d) migrations are far more frequent when the words share letters in common. This last result suggests that migrations are not caused by a loss of spatial information at the letter level, that is, by free-floating letters being wrongly combined. Rather, migrations occur because of structural limitations at a high level of the word-recognition process, perhaps during lexical activation. Implications for models of multiple-word perception are discussed.

Perceptual interactions in two-word displays: familiarity and similarity effects.

Previous studies have demonstrated the existence of perceptual interactions in the processing of two-word displays such as SAND LANE. When postcued to report one of the two words, subjects often make migration errors, in that the report of the specified word includes a letter of the other word (e.g., LAND or SANE instead of SAND). We find that migrations depend on the abstract, structural similarity of the strings, but not on the physical similarity; on whether the strings are words; and on whether the possible migration responses are words. We also rule out an interpretation of migration errors that attributes them to a guessing strategy. Our findings are interpreted in terms of models in which both strings simultaneously access high-level structural knowledge, that is, knowledge about what sequences of letters fit together to form familiar wholes.

Occlusion, symmetry, and object-based attention: reply to Saiki (2000).

J. Saiki (2000) argued that, because the stimuli used by M. Behrmann, R. S. Zemel, and M. C. Mozer (1998) were confounded by symmetry, conclusions about whether amodally completed objects can benefit from object-based attention are unwarranted. Here, the authors examine J. Saiki's claim further and expand on their view of the mechanisms underlying object-based attention, suggesting that perceptual organization is the process whereby features from a single object are selectively attended. In light of this, they claim that heuristics such as symmetry and collinearity play an important role in the facilitation of features from a single object. In support of this claim, they present data from a further experiment using displays that exploit common fate, another grouping heuristic, and show that, under these conditions, the hallmark of object-based attention, a single-object advantage, is obtained for the occluded (amodally completed) shapes.

Object-based attention and occlusion: evidence from normal participants and a computational model.

One way of perceptually organizing a complex visual scene is to attend selectively to information in a particular physical location. Another way of reducing the complexity in the input is to attend selectively to an individual object in the scene and to process its elements preferentially. This latter, object-based attention process was examined, and the predicted superiority for reporting features from 1 relative to 2 objects was replicated in a series of experiments. This object-based process was robust even under conditions of occlusion, although there were some boundary conditions on its operation. Finally, an account of the data is provided via simulations of the findings in a computational model. The claim is that object-based attention arises from a mechanisms that groups together those features based on internal representations developed over perceptual experience and then preferentially gates these features for later, selective processing.

Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry.

Competition in the wireless telecommunications industry is fierce. To maintain profitability, wireless carriers must control churn, which is the loss of subscribers who switch from one carrier to another.We explore techniques from statistical machine learning to predict churn and, based on these predictions, to determine what incentives should be offered to subscribers to improve retention and maximize profitability to the carrier. The techniques include logit regression, decision trees, neural networks, and boosting. Our experiments are based on a database of nearly 47,000 U.S. domestic subscribers and includes information about their usage, billing, credit, application, and complaint history. Our experiments show that under a wide variety of assumptions concerning the cost of intervention and the retention rate resulting from intervention, using predictive techniques to identify potential churners and offering incentives can yield significant savings to a carrier. We also show the importance of a data representation crafted by domain experts. Finally, we report on a real-world test of the techniques that validate our simulation experiments.

[Telephonic surveillance of pregnant women at risk of premature labor after hospitalization]. / Surveillance téléphonique des gestantes après hospitalisation pour menace d'accouchement prématuré.

Manual evaluation of uterine contractility through the abdominal wall performed twice a day for 1 hour and reported by telephone every other day keeps pregnant women at risk of premature labour in a state of continual attention. When the women are disciplined, the recommendations, prescriptions and encouragements they receive in return result in a statistically significant reduction in the number of premature deliveries. More generally, this new and relatively inexpensive method leads to substantial savings. Such were the results obtained by comparing the courses of 2 series of pregnancies after hospitalization for the indispensable intravenous tocolysis.

[DNA fingerprinting in paternity testing].

Laboratory tests used in cases of disputed paternity identify genetically determined gene products inherited in a dominant Mendelian fashion. Red blood cell groups, isoenzymes, serum proteins and the HLA system are the most commonly used systems in these tests. The application of DNA technology increases the scope of paternity tests and provides the court with extremely precise laboratory-based conclusions which approach near certainty.

On the interaction of selective attention and lexical knowledge: a connectionist account of neglect dyslexia.

Neglect dyslexia, a reading impairment acquired as a consequence of brain injury, is traditionally interpreted as a disturbance of selective attention. Patients with neglect dyslexia may ignore the left side of an open book, the beginning words of a line of text, or the beginning letters of a single word. These patients provide a rich but sometimes contradictory source of data regarding the locus of attentional selectivity. We have reconsidered the patient data within the framework of an existing connectionist model of word recognition and spatial attention. We show that the effects of damage to the model resemble the reading impairments observed in neglect dyslexia. In simulation experiments, we account for a broad spectrum of behaviors including the following: (1) when two noncontiguous stimuli are presented simultaneously, the contralesional stimulus is neglected (extinction); (2) explicit instructions to the patient can reduce the severity of neglect; (3) stimulus position in the visual field affects reading performance; (4) words are read much better than pronounceable nonwords; (5) the nature of error responses depends on the morphemic composition of the stimulus; and (6) extinction interacts with lexical knowledge (if two words are presented that form a compound, e.g., COW and BOY, the patient is more likely to report both than in a control condition, e.g., SUN and FLY). The convergence of findings from the neuropsychological research and the computational modeling sheds light on the role of attention in normal visuospatial processing, supporting a hybrid view of attentional selection that has properties of both early and late selection.

Template-based procedures for neural network interpretation.

Although neural networks often achieve impressive learning and generalization performance, their internal workings are typically all but impossible to decipher. This characteristic of the networks, their opacity, is one of the disadvantages of connectionism compared to more traditional, rule-oriented approaches to artificial intelligence. Without a thorough understanding of the network behavior, confidence in a system's results is lowered, and the transfer of learned knowledge to other processing systems - including humans - is precluded. Methods that address the opacity problem by casting network weights in symbolic terms are commonly referred to as rule extraction techniques. This work describes a principled approach to symbolic rule extraction from standard multilayer feedforward networks based on the notion of weight templates, parameterized regions of weight space corresponding to specific symbolic expressions. With an appropriate choice of representation, we show how template parameters may be efficiently identified and instantiated to yield the optimal match to the actual weights of a unit. Depending on the requirements of the application domain, the approach can accommodate n-ary disjunctions and conjunctions with O(k) complexity, simple n-of-m expressions with O(k(2)) complexity, or more general classes of recursive n-of-m expressions with O(k(L+2)) complexity, where k is the number of inputs to an unit and L the recursion level of the expression class. Compared to other approaches in the literature, our method of rule extraction offers benefits in simplicity, computational performance, and overall flexibility. Simulation results on a variety of problems demonstrate the application of our procedures as well as the strengths and the weaknesses of our general approach.

Localist attractor networks.

Attractor networks, which map an input space to a discrete output space, are useful for pattern completion--cleaning up noisy or missing input features. However, designing a net to have a given set of attractors is notoriously tricky; training procedures are CPU intensive and often produce spurious attractors and ill-conditioned attractor basins. These difficulties occur because each connection in the network participates in the encoding of multiple attractors. We describe an alternative formulation of attractor networks in which the encoding of knowledge is local, not distributed. Although localist attractor networks have similar dynamics to their distributed counterparts, they are much easier to work with and interpret. We propose a statistical formulation of localist attractor net dynamics, which yields a convergence proof and a mathematical interpretation of model parameters. We present simulation experiments that explore the behavior of localist attractor networks, showing that they yield few spurious attractors, and they readily exhibit two desirable properties of psychological and neurobiological models: priming (faster convergence to an attractor if the attractor has been recently visited) and gang effects (in which the presence of an attractor enhances the attractor basins of neighboring attractors).

Open multipliers in the soft x-ray region.

The Bendix magnetic multiplier M 306, and the Mullard channel multipliers B 400 A and B 200 B were operated in the wavelength range 1.5 A to 44 A Pulse height distributions, gain, and counting rate characteristics were investigated.

The end of the line for a brain-damaged model of unilateral neglect.

For more than a century, it has been known that damage to the right hemisphere of the brain can cause patients to be unaware of the contralesional side of space. This condition, known as unilateral neglect, represents a collection of clinically related spatial disorders characterized by the failure in free vision to respond, explore, or orient to stimuli predominantly located on the side of space opposite the damaged hemisphere. Recent studies using the simple task of line bisection, a conventional diagnostic test, have proven surprisingly revealing with respect to the spatial and attentional impairments involved in neglect. In line bisection, the patient is asked to mark the midpoint of a thin horizontal lie on a sheet of paper. Neglect patients generally transect far to the right of the center. Extensive studies of line bisection have been conducted, manipulating-among other factors-line length, orientation, and position. We have simulated the pattern of results using an existing computational model of visual perception and selective attention called MORSEL (Mozer, 1991). MORSEL has already been used to model data in a related disorder, neglect dyslexia (Mozer & Behrmann, 1990). In this earlier work, MORSEL was "lesioned" in accordance with the damage we suppose to have occurred in the brains of neglect patients. The same model and lesion can simulate the detailed pattern of performance on line bisection, including the following observations: (1) no consistent across-subject bias is found in normals; (2) transection displacements are proportional to line length in neglect patients; (3) variability of displacements is proportional to line length, in both normals and patients; (4) position of the lines with respect to the body or the page on which they are drawn has little effect; and (5) for lines drawn at different orientations, displacements are proportional to the cosine of the orientation angle. MORSEL fails to account for one observation: across patients, the variability of displacements for a particular line length is roughly proportional to mean displacement. Nonetheless, the overall fit of the model is sufficiently good that we believe MORSEL can be used as a diagnostic tool to characterize the specific nature of a patient's deficit, and thereby has potential down the line in therapy.