Personal Reflections on Some Early Work in Evolving Strategies in the Iterated Prisoner's Dilemma.

On the occasion of the 30-year anniversary of the Evolutionary Computation journal, I was invited by Professor Hart to offer some reflections on the article on evolving behaviors in the iterated prisoner's dilemma that I contributed to its first issue in 1993. It's an honor to do so. I would like to thank Professor Ken De Jong, the journal's first editor-in-chief, for his vision in creating the journal, and the editors who have followed and maintained that vision.

Agonist-specific desensitization of PGE-stimulated cAMP signaling due to upregulated phosphodiesterase expression in human lung fibroblasts.

Pulmonary fibrosis is characterized by fibroblasts persisting in an activated form, producing excessive fibrous material that destroys alveolar structure. The second messenger molecule cyclic 3',5'-adenosine monophosphate (cAMP) has antifibrotic properties, and prostaglandin E (PGE) can stimulate cAMP production through prostaglandin E (EP) and EP receptors. Although EP receptors are attractive therapeutic targets, the effects of long-term exposure to PGE have not been characterized.

Study of the effect of the herbal composition SR2004 on hemoglobin A1c, fasting blood glucose, and lipids in patients with type 2 diabetes mellitus.

Background: Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by raised blood glucose levels and peripheral insulin resistance. It is an increasingly prevalent global healthcare concern. Conventional treatment options are limited and in this context, there is renewed interest in evaluating the clinical and biological effects of traditional therapies.

Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review.

Clinical trials are time consuming, expensive, and often burdensome on patients. Clinical trials can fail for many reasons. This survey reviews many of these reasons and offers insights on opportunities for improving the likelihood of creating and executing successful clinical trials.

Ectoparasitic copepod infestation on a wild population of Neotropical catfish Bloch, 1794: Histological evidences of lesions on host.

We analyzed the infestation of the attached copepod species sp on a wild population of . The infestation and occurrence of attached copepods were related to body size, maturity and sex of host and the presence of lesions on fish skin were described. In 61 fish specimens (37 males and 24 females), total of 218 ectoparasitic copepods, including 204 mature and 14 immature stages were found.

Association between an ectoparasitic copepod (Caligus sp.) and the monogenean Udonella cf. caligorum Johnston 1835 on a catfish population.

We analysed the association between a monogenean (Udonella cf. caligorum Johnston 1835) and its copepod host (Caligus sp.) living on a wild population of Arius herzbergii Bloch, 1794 in a north-eastern coastal lagoon from Venezuela.

Relevance of Quality Measurement to Integrative Healthcare in the United States.

With the advent of new models for payment and delivery of healthcare services, the use of quality measures for continual improvement of clinical healthcare is now an integral feature of medical practice in the United States. However, quality measurement and quality improvement activities are not common practice among integrative health providers. This article discusses the import and application of quality measurement to the practice of integrative healthcare.

Incorporating Yoga Therapy into Primary Care: The Casey Health Institute.

Individuals seek complementary and alternative medicine (CAM) for a variety of health conditions, and yoga is a popular CAM modality. Over the past few decades, yoga has become incorporated into hundreds of healthcare facilities, most commonly in large university medical centers. While research has shown yoga to be effective in reducing symptoms and improving outcomes in chronic health conditions, most patients seek yoga therapy on their own, as few primary care practitioners have incorporated yoga therapy into their practices.

A Novel Route Controlling Begomovirus Resistance by the Messenger RNA Surveillance Factor Pelota.

Tomato yellow leaf curl virus (TYLCV) is a devastating disease of tomato (Solanum lycopersicum) that can be effectively controlled by the deployment of resistant cultivars. The TYLCV-resistant line TY172 carries a major recessive locus for TYLCV resistance, designated ty-5, on chromosome 4. In this study, the association between 27 polymorphic DNA markers, spanning the ty-5 locus, and the resistance characteristics of individual plants inoculated with TYLCV in 51 segregating recombinant populations were analyzed.

Simulating natural selection as a culling mechanism on finite populations with the hawk-dove game.

The behaviors of individuals and species are often explained in terms of evolutionary stable strategies (ESSs). The analysis of ESSs determines which, if any, combinations of behaviors cannot be invaded by alternative strategies. Two assumptions required to generate an ESS (i.

A step toward computer-assisted mammography using evolutionary programming and neural networks.

Artificial intelligence techniques can be used to provide a second opinion in medical settings. This may improve the sensitivity and specificity of diagnoses, as well as the cost effectiveness of the physician's effort. In the current study, evolutionary programming is used to train artificial neural networks to detect breast cancer using radiographic features and patient age.

Evolving neural networks to play checkers without relying on expert knowledge.

An experiment was conducted where neural networks compete for survival in an evolving population based on their ability to play checkers. More specifically, multilayer feedforward neural networks were used to evaluate alternative board positions and games were played using a minimax search strategy. At each generation, the extant neural networks were paired in competitions and selection was used to eliminate those that performed poorly relative to other networks.

A platform for evolving intelligently interactive adversaries.

Entertainment software developers face significant challenges in designing games with broad appeal. One of the challenges concerns creating nonplayer (computer-controlled) characters that can adapt their behavior in light of the current and prospective situation, possibly emulating human behaviors. This adaptation should be inherently novel, unrepeatable, yet within the bounds of realism.

Depression and substance use in a middle aged and older Puerto Rican population.

This study focuses on depression and substance use in Puerto Rican primary care patients, age 50 and older, recruited from five clinics in Hartford, CT (n = 303). One-third of the participants screened positive for depression using the Center for Epidemiologic Studies-Depression scale, and 16 percent either reported excessive alcohol use, prescription drug abuse, and/or illegal drug use in the past year. Correlates of depression include younger age, female gender, being separated or divorced, low perceived adequacy of income, poor health status, functional limitations, few emotional supports, and a history of an "ataque de nervios.

Discovery of RNA structural elements using evolutionary computation.

RNA molecules fold into characteristic secondary and tertiary structures that account for their diverse functional activities. Many of these RNA structures, or certain structural motifs within them, are thought to recur in multiple genes within a single organism or across the same gene in several organisms and provide a common regulatory mechanism. Search algorithms, such as RNAMotif, can be used to mine nucleotide sequence databases for these repeating motifs.

The incidence and influence of early traumatic life events in patients with panic disorder: a comparison with other psychiatric outpatients.

Early traumatic life events, including childhood physical and sexual abuse, has been associated with increased risk for panic disorder in adulthood. We examined the incidence and influence of early traumatic life events in outpatients with panic disorder (n = 101), compared to outpatients with other anxiety disorders (n = 58), major depression (n = 19), or chronic schizophrenia (n = 22). Data were obtained by means of Structured Clinical Interviews and self-report questionnaires.

Quantitative structure-activity relationships by evolved neural networks for the inhibition of dihydrofolate reductase by pyrimidines.

Evolutionary computation provides a useful method for training neural networks in the face of multiple local optima. This paper begins with a description of methods for quantitative structure activity relationships (QSAR). An overview of artificial neural networks for pattern recognition problems such as QSAR is presented and extended with the description of how evolutionary computation can be used to evolve neural networks.

Multiple-vector self-adaptation in evolutionary algorithms.

Self-adaptation is a common method for learning online control parameters in an evolutionary algorithm. In one common implementation, each individual in the population is represented as a pair of vectors (x, sigma), where x is the candidate solution to an optimization problem scored in terms of f(x), and sigma is the so-called strategy parameter vector that influences how offspring will be created from the individual. Experimental evidence suggests that the elements of sigma can sometimes become too small to explore the given response surface adequately.

Mammography utilization in a skilled nursing facility.

Objective: To examine mammography utilization and subsequent clinical decisions in a skilled nursing facility in women aged 75 years and older with no history of breast cancer.

Methods: This study was a retrospective medical chart review of 95 women living in a skilled nursing facility aged 75 years and older who did not have a history of breast cancer.

Results: One-hundred seventy-nine mammograms were performed on 95 patients with an average of 1.

Do evolutionary processes minimize expected losses?

Evolution by variation and natural selection is often viewed as an optimization process that favors those organisms which are best adapted to their environment. This leaves open the issue of how to measure adaptation and what criterion is implied for optimization. This problem has been framed and analysed mathematically under the assumption that individuals compete to minimize expected losses across a series of decisions (e.

[Alpha-amino adipic aciduria: a rare psychomotor syndrome].

A 3.5-year-old boy with developmental motor retardation, hypotonicity, and severe speech disturbance had alpha-amino adipic acid in his blood and very high levels in his urine. In only 20 cases has this catabolite of lysine and hydroxylysine been found in high concentrations in urine, due to enzymatic block.

Fitness distributions in evolutionary computation: motivation and examples in the continuous domain.

Evolutionary algorithms are, fundamentally, stochastic search procedures. Each next population is a probabilistic function of the current population. Various controls are available to adjust the probability mass function that is used to sample the space of candidate solutions at each generation.

Rapid automated molecular replacement by evolutionary search.

A new procedure for molecular replacement is presented in which an efficient six-dimensional search is carried out using an evolutionary optimization algorithm. In this procedure, a population of initially random molecular-replacement solutions is iteratively optimized with respect to the correlation coefficient between observed and calculated structure factors. The sensitivity and reliability of the method is enhanced by uniform sampling of the rotational-search space and the use of continuously variable rotational and translational parameters.

Evolving artificial neural networks for screening features from mammograms.

Disagreement or inconsistencies in mammographic interpretation motivates utilizing computerized pattern recognition algorithms to aid the assessment of radiographic features. We have studied the potential for using artificial neural networks (ANNs) to analyze interpreted radiographic features from film screen mammograms. Attention was given to 216 cases (mammogram series) that presented suspicious characteristics.