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Results for “Optimization”

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At least 19 recordsLinked to original sources

PubMed2006

Anatomy-based inverse optimization in high-dose-rate brachytherapy combined with hypofractionated external beam radiotherapy for localized prostate cancer: comparison of incidence of acute genitourinary toxicity between anatomy-based inverse optimization and geometric optimization.

PURPOSE: To evaluate the advantages of anatomy-based inverse optimization (IO) in planning high-dose-rate (HDR) brachytherapy. METHODS AND MATERIALS: A total of 114 patients who received HDR brachytherapy (9 Gy in two fractions) combined with hypofractionated external beam radiotherapy (EBRT) were analyzed. The dose distributions of HDR brachytherapy were optimized using geometric optimization (GO) in 70 patients and by anatomy-based IO in the remaining 44 patients. The correlation between the dose-volume histogram parameters, including the urethral dose and the incidence of acute genitourinary (GU) toxicity, was evaluated. RESULTS: The averaged values of the percentage of volume receiving 80-150% of the prescribed minimal peripheral dose (V(80)-V(150)) of the urethra generated by anatomy-based IO were significantly lower than the corresponding values generated by GO. Similarly, the averaged values of the minimal dose received by 5-50% of the target volume (D(5)-D(50)) obtained using anatomy-based IO were significantly lower than those obtained using GO. Regarding acute toxicity, Grade 2 or worse acute GU toxicity developed in 23% of all patients, but was significantly lower in patients for whom anatomy-based IO (16%) was used than in those for whom GO was used (37%), consistent with the reduced urethral dose (p <0.01). CONCLUSION: The results of this study suggest that anatomy-based IO is superior to GO for dose optimization in HDR brachytherapy for prostate cancer.

Aged↗

PubMed2005

Evaluation of anatomy-based dwell position and inverse optimization in high-dose-rate brachytherapy of prostate cancer: a dosimetric comparison to a conventional cylindrical dwell position, geometric optimization, and dose-point optimization.

BACKGROUND AND PURPOSE: To compare treatment planning methods in high-dose-rate (HDR) brachytherapy of prostate cancer. In particular, to assess quantitatively the dosimetric superiority, if any, of the anatomy-based dwell position (ABDP) and inverse optimization (IO) over the conventional cylindrical dwell position (CDP), geometric optimization (GO), and dose-point optimization (DO) in terms of the determination of dwell positions and dwell times. PATIENTS AND METHODS: Between September 2002 and April 2003, 10 cases of treatment-planning CT images were taken for external radiotherapy for prostate cancer. Treatment planning computer software and the CT data were used to create hypothetical HDR brachytherapy applicator needles, which were properly implanted in the prostate. Six different plans including IO with ABDP (IO(ABDP)), IO with CDP (IO(CDP)), GO with ABDP (GO(ABDP)), GO with CDP (GO(CDP)), DO with ABDP (DO(ABDP)), and DO with CDP (DO(CDP)) were made for each case, that is, 60 plans in total. All plans were normalized so that the D(95) should be equal to 100% of the prescribed dose. Dose-volume histograms from all 60 plans were analyzed, and multiple implant quality indices, including CI, EI, DNR, %V(R 75), %V(B 75), and %V(U 150) for each plan, were extracted and compared. Then, the best settings for IO(ABDP) regarding dwell position and dose limit were sought for. RESULTS: ABDP showed a statistically significantly lower EI (P<0.001), %V(R 75) (P=0.002), and %V(B 75) (P=0.015) than CDP. IO showed a statistically significantly lower %V(U 150) than GO (P=0.009), or than DO (P<0.001). Given a definition that a figure exceeding three-fold of the minimum figure of the index is clinically unacceptable, only in IO(ABDP) all index figures were clinically acceptable, while in the other five plans at least one index figure was unacceptable. CONCLUSIONS: In the CT-based treatment planning for prostate HDR brachytherapy, ABDP is useful to achieve a high conformity, which leads to a reduction of the doses to the bladder, rectum, and surrounding normal tissue. IO is useful to lower the urethral dose without sacrificing conformity. IO(ABDP) is recommended on the basis of the current study. However, this conclusion has been drawn from the idealized hypothetical settings, and some possibility remains that this conclusion is not always applicable to the real implants.

Brachytherapy↗

PubMed1995

Application of optimized pattern recognition units in EEG analysis: common optimization of preprocessing and weights of neural networks as well as structure optimization.

The main goal of this study is to demonstrate the possibility of training the Neural Network (multilayer perceptron) classifier and preprocessing units simultaneously, i.e., that properties of preprocessing are chosen automatically during the training phase. In the first realization step, adaptive recursive estimation of the power within a frequency band was used as a preprocessing unit. To improve the efficiency of special units, the power and momentary frequency estimation was replaced by methods that are based on adaptive Hilbert transformers. The strategy was developed to obtain optimized recognition units that can be efficiently integrated into strategies for monitoring the cerebral status of neonates. Therefore, applications (e.g., in neonatal EEG pattern recognition) will be shown. Additionally, a method of minimizing the error function was used, where this minimization is based on optimizing the network structure. The results of structure optimization in the field of EEG pattern recognition in epileptic patients can be demonstrated.

Algorithms↗

PubMed2026

Using the OPTIMAL Theory to Optimize Aerodynamics in Respiratory Training for Healthy Adults and Individuals With Parkinson's Disease.

BACKGROUND: The OPTIMAL (Optimizing Performance Through Intrinsic Motivation and Attention for Learning) theory is a motor learning framework proposing that optimizing intrinsic motivation enhances motor performance and learning. The theory identifies three key components-Enhanced Expectancies (EE), Autonomy Support (AS) and External Focus of Attention (EF)-which facilitate more efficient, goal-directed movement. These components have been shown to improve motor outcomes in limb-based tasks; however, their application to respiratory training, particularly in clinical contexts such as voice and swallowing therapy in patients with Parkinson's disease (pwPD), has not yet been systematically explored. AIMS: This study aimed to investigate whether implementing OPTIMAL theory strategies during a respiratory muscle strength training (RMST) task improves immediate respiratory motor performance in healthy adults and pwPD. Additionally, we aimed to examine the effects of these strategies on motivation and cognitive engagement. METHODS: This quasi-randomized, single-session trial included 47 participants: Healthy CONTROL (n = 17), Healthy OPTIMAL (n = 16) and PD OPTIMAL (n = 14). Healthy participants were quasi-randomly assigned to either intervention or control conditions, whereas pwPD completed the intervention only. All participants completed a single respiratory session that included baseline, practice and retention phases. Outcome measures included peak expiratory flow, cough peak expiratory flow, cognitive engagement (EEG-based Cognitive Engagement Index) and self-administered motivation questionnaire. OUTCOMES AND RESULTS: Exhalation force improved from baseline to retention in the Healthy OPTIMAL group (baseline: M = 296 L/min; retention: M = 338 L/min; p < 0.001) and the PD OPTIMAL group (baseline: M = 315 L/min; retention: M = 370 L/min; p < 0.0001), but not in the Healthy CONTROL group (p > 0.05). No significant changes in cough strength were observed in any group. No correlations were found between cognitive engagement and exhalation force or motivation scores. However, motivation increased more in the Healthy OPTIMAL group (Questionnaire 1: M = 57.2; Questionnaire 2: M = 60.7) and the PD OPTIMAL group (Questionnaire 1: M = 60.1; Questionnaire 2: M = 62.8) than in the Healthy CONTROL group (Questionnaire 1: M = 61.1; Questionnaire 2: M = 62.5). CONCLUSIONS AND IMPLICATIONS: Implementing the OPTIMAL theory enhances immediate respiratory motor performance in both healthy participants and pwPD. OPTIMAL theory has clinical value in voice and swallowing therapy, although further research is needed to establish long-term efficacy and clinical impact. WHAT THIS PAPER ADDS: What is already known on the subject Motivation is a critical factor in rehabilitation. The OPTIMAL theory has been shown to improve both motivation and motor performance in limb-based tasks. Its impact on respiratory training, however, has not been previously examined. What this paper adds to the existing knowledge This study shows that applying OPTIMAL strategies during a respiratory muscle strength training task significantly improved peak expiratory flow in both healthy adults and people with Parkinson's disease. What are the potential or clinical implications of this work? Integrating the OPTIMAL theory principles into respiratory therapy may enhance motor outcomes, supporting voice, swallowing and cough rehabilitation.

Humans↗

PubMed1992

A parameter optimization approach for the optimal control of large-scale musculoskeletal systems.

This paper describes a computational method for solving optimal control problems involving large-scale, nonlinear, dynamical systems. Central to the approach is the idea that any optimal control problem can be converted into a standard nonlinear programming problem by parameterizing each control history using a set of nodal points, which then become the variables in the resulting parameter optimization problem. A key feature of the method is that it dispenses with the need to solve the two-point, boundary-value problem derived from the necessary conditions of optimal control theory. Gradient-based methods for solving such problems do not always converge due to computational errors introduced by the highly nonlinear characteristics of the costate variables. Instead, by converting the optimal control problem into a parameter optimization problem, any number of well-developed and proven nonlinear programming algorithms can be used to compute the near-optimal control trajectories. The utility of the parameter optimization approach for solving general optimal control problems for human movement is demonstrated by applying it to a detailed optimal control model for maximum-height human jumping. The validity of the near-optimal control solution is established by comparing it to a solution of the two-point, boundary-value problem derived on the basis of a bang-bang optimal control algorithm. Quantitative comparisons between model and experiment further show that the parameter optimization solution reproduces the major features of a maximum-height, countermovement jump (i.e., trajectories of body-segmental displacements, vertical and fore-aft ground reaction forces, displacement, velocity, and acceleration of the whole-body center of mass, pattern of lower-extremity muscular activity, jump height, and total ground contact time).

Adult↗

PubMed2006

Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training.

BACKGROUND: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influenced by several "strategy parameters". Choosing reasonable parameter values for the PSO is crucial for its convergence behavior, and depends on the optimization task. We present a method for parameter meta-optimization based on PSO and its application to neural network training. The concept of the Optimized Particle Swarm Optimization (OPSO) is to optimize the free parameters of the PSO by having swarms within a swarm. We assessed the performance of the OPSO method on a set of five artificial fitness functions and compared it to the performance of two popular PSO implementations. RESULTS: Our results indicate that PSO performance can be improved if meta-optimized parameter sets are applied. In addition, we could improve optimization speed and quality on the other PSO methods in the majority of our experiments. We applied the OPSO method to neural network training with the aim to build a quantitative model for predicting blood-brain barrier permeation of small organic molecules. On average, training time decreased by a factor of four and two in comparison to the other PSO methods, respectively. By applying the OPSO method, a prediction model showing good correlation with training-, test- and validation data was obtained. CONCLUSION: Optimizing the free parameters of the PSO method can result in performance gain. The OPSO approach yields parameter combinations improving overall optimization performance. Its conceptual simplicity makes implementing the method a straightforward task.

Algorithms↗

PubMed2006

Slice profile optimization in arterial spin labeling using presaturation and optimized RF pulses.

OBJECTIVE: An important source of error in arterial spin labeling (ASL) is incomplete static tissue subtraction due to imperfect slice profiles. This effect can be reduced by saturating the spins in the imaging area prior to labeling. In this study, the use of optimized presaturation is compared with the use of optimized RF pulses for minimizing this error. MATERIALS AND METHODS: Different methods for optimizing presaturation were simulated by numerical solution of the Bloch equation. Presaturation was optimized by changing the number of presaturation pulses, their position in the pulse sequence and the area of the crusher gradients following each saturation pulse. It was also investigated whether the use of optimized presaturation could reduce the tag gap needed to ensure complete static tissue subtraction. Simulation results were verified using phantom and in vivo studies at 3T. RESULTS: In proximal inversion with control for off-resonance effects, optimized presaturation could reduce the necessary tag gap to 15% of the imaging slab for experiments using standard RF pulses, while c-FOCI RF pulses could reduce it to 11%. In flow-sensitive alternating inversion recovery, a single presaturation pulse could reduce the inversion width to 122% of the imaging slab and neither multiple presaturation pulses nor optimized RF pulses could reduce it further. CONCLUSION: Optimized presaturation can reduce the necessary inversion width to the same level as if using optimized RF pulses and can, therefore, be used to optimize ASL sensitivity. Furthermore, optimized presaturation can reduce the B(1)-dependent sensitivity in static tissue subtraction.

Adult↗

PubMed1997

Consequences of optimization in PDR brachytherapy--is a routine geometrical optimization recommendable?

PURPOSE: On the basis of clinical examples for interstitial volume implants and surface molds the benefit and disadvantage of optimization in pulsed dose rate (PDR) brachytherapy using a stepping source was investigated. Geometrically optimized PDR dose distributions were compared with nonoptimized ones as produced by Ir wires. METHODS AND MATERIALS: In 25 patients who were treated with a double-plane interstitial breast implant with flexible catheters the first smoothly surrounding isodose, the reference volume and the uniformity and quality index derived from natural dose-volume histograms (Anderson) were considered. The effect of geometrical optimization on surface molds, which were used to irradiate chest wall relapses from breast cancer, was investigated by analyzing the reference surface, dose profiles, and depth-dose curves of a source arrangement covering an area of 10 x 10 cm2. RESULTS: Only in 3 of 25 patients the dose distribution of the volume implant was worsened by geometrical volume optimization regarding the homogeneity or the first smoothly surrounding isodose. Predominantly geometrical volume optimization reduced underdosage at the edges of the implants and improved the dose uniformity. The reference volume was increased. The geometrical distance optimization of surface mold dose distributions resulted in an enhancement of the reference surface and an improvement of the dose homogeneity on the skin surface. CONCLUSIONS: Geometrical optimization substantially changes the dose distribution. Only in a minority of cases the dose distributions of volume implants were worsened by geometrical volume optimization. Nevertheless, a close look at the results has to be recommended, especially if an overdosage in the lateral regions of the dose distribution and a dose falloff near the middle catheters is observed. The enhancement of the reference volume by geometrical volume optimization must be considered when choosing the active lengths. In surface mold treatment planning geometrical distance optimization is necessary to achieve homogeneous dose distributions for irradiation fields of different size and shape.

Brachytherapy↗

PubMedDate not supplied

Genetic programming assisted stochastic optimization strategies for optimization of glucose to gluconic acid fermentation.

This article presents two hybrid strategies for the modeling and optimization of the glucose to gluconic acid batch bioprocess. In the hybrid approaches, first a novel artificial intelligence formalism, namely, genetic programming (GP), is used to develop a process model solely from the historic process input-output data. In the next step, the input space of the GP-based model, representing process operating conditions, is optimized using two stochastic optimization (SO) formalisms, viz., genetic algorithms (GAs) and simultaneous perturbation stochastic approximation (SPSA). These SO formalisms possess certain unique advantages over the commonly used gradient-based optimization techniques. The principal advantage of the GP-GA and GP-SPSA hybrid techniques is that process modeling and optimization can be performed exclusively from the process input-output data without invoking the detailed knowledge of the process phenomenology. The GP-GA and GP-SPSA techniques have been employed for modeling and optimization of the glucose to gluconic acid bioprocess, and the optimized process operating conditions obtained thereby have been compared with those obtained using two other hybrid modeling-optimization paradigms integrating artificial neural networks (ANNs) and GA/SPSA formalisms. Finally, the overall optimized operating conditions given by the GP-GA method, when verified experimentally resulted in a significant improvement in the gluconic acid yield. The hybrid strategies presented here are generic in nature and can be employed for modeling and optimization of a wide variety of batch and continuous bioprocesses.

Artificial Intelligence↗

PubMed1999

How optimal are computer-calculated optimal diets?

OBJECTIVE: This paper aims at clarifying the meaning of 'optimal diets'. DESIGN: Two different optimization approaches are considered. Both depart from people's actual diets which in general do not meet all their nutrient requirements. In the first case (non fuzzy approach) the actual diets are modified such that all nutrient intake recommendations are met and the resulting changes in the persons' food habits are as little as possible. In the second case (fuzzy approach) the actual diets are modified such that the persons' food habits undergo little change and the nutrient intake recommendations are met as well as possible. Both approaches are evaluated using data on the actual diets of three randomly chosen participants of the Bavarian Food Intake Survey. RESULTS: With both approaches feasible solutions can be found. The optimal diets computed with the non fuzzy approach satisfy all the persons' nutrient requirements, but make it necessary to change the persons' food habits considerably. When compared to the subjects' actual diets, the optimal diets computed with the fuzzy approach yield improvements for the intake of many nutrients, but in some cases deteriorations also occur (for example, concerning folate, calcium and iodine). So, the process and the results of the fuzzy approach are not 'Pareto efficient'. But it has the advantage that the corresponding optimal diets deviate from the actual diets by no more than about 3-5 kitchen units per day. CONCLUSIONS: The term 'optimal' does not have a general meaning. An 'optimal diet' does not necessarily meet all the nutrient requirements of a person. Optimality only depends on the respective conditions any optimization is based on.

Adult↗

PubMed2004

A general solution for optimal egg size during external fertilization, extended scope for intermediate optimal egg size and the introduction of Don Ottavio 'tango'.

Egg sizes of marine invertebrates vary greatly, both within and between species. Among the proposed causes of this are a trade-off between egg size, egg number and survival probability of offspring, and a selection pressure exerted by sperm limitation during external fertilization. Although larger eggs are indeed a larger target for sperm, producing larger eggs also implies making fewer of them. There has been discussion about whether sperm limitation can (theoretically) and does (in nature) select for larger egg size than under ad libitum sperm. In one specific model, based on a particular fertilization kinetics model and an empirically derived mortality function, the theoretical possibility of a negative shift in optimal egg size with sperm concentration was demonstrated. Here we present a generalized analytical model to explore the effects of survival and fertilization probabilities on optimal egg size. It is demonstrated that incorporating fertilization kinetics greatly increases the scope for intermediate optimal egg size, as opposed to eggs of minimal or maximal size. Second, we present a general analytical qualitative solution to the question whether optimal egg size depends on sperm concentration. It is shown that, under the condition that an intermediate optimal egg size exists, this qualitative outcome of the model (positive, negative or no relation between optimal egg size and sperm limitation) depends on the structure of the fertilization kinetics part of the model. Finally, we evaluate fertilization kinetics models with respect to the general solution, using two previously published kinetics models ('Don Giovanni' and 'Don Ottavio') and a novel alteration of one of them in which sperm concentration covaries with egg concentration (Don Ottavio 'tango'). For all three models the relationship between optimal egg size and sperm concentration is shown to be always negative. This paper thus shows how biologically realistic relationships between egg size on the one hand and survival and fertilization probability on the other hand predict optimal egg size to be intermediate, and that this optimum is in general expected to increase when sperm become more limiting.

Animals↗

PubMed2006

Sources of dietary fluoride intake in 6-7-year-old English children receiving optimally, sub-optimally, and non-fluoridated water.

OBJECTIVES: Due to increased consumption of pre-packaged drinks, tap water may no longer be the principal source of water intake and consequently fluoride intake. Little is known about the importance of solid foods as fluoride sources and how the relative contribution of foods/drinks to fluoride intake is affected by residing in fluoridated or non-fluoridated areas. This study investigated the relative contributions of different dietary sources to dietary fluoride intake and compared this in children residing in optimally artificially fluoridated, sub-optimally artificially fluoridated, and non-fluoridated areas. METHODS: Thirty-three healthy children aged 6 years were recruited from fluoridated and non-fluoridated communities and categorised into three groups based on fluoride content of home tap water: optimally fluoridated (< or =0.7 mgF/L), sub-optimally fluoridated (> or =0.3 to < or =0.7 mgF/L) and non-fluoridated (50.3 mgF/L) drinking water. A 3-day dietary diary collected dietary information. Samples of foods/drinks consumed were collected and analyzed for fluoride content. RESULTS: Drinks provided 59%, 55% and 32% of dietary fluoride intake in optimally, sub-optimally and non-fluoridated areas respectively. Tap water, fruit squashes and cordials (extremely sweet non-alcoholic fruit flavoured drink concentrates) prepared with tap water, as well as cooked rice, pasta and vegetables were important sources of fluoride in optimally and sub-optimally fluoridated areas. Carbonated soft drinks and bread were the most important contributors to dietary fluoride intake in the non-fluoridated area. CONCLUSION: The main contributory sources to dietary fluoride differ between fluoridated and non-fluoridated areas. Estimating total fluoride intake from levels of fluoride in tap water alone is unlikely to provide a reliable quantitative measure of intake. Studies monitoring dietary fluoride exposure should consider intake from all foods and drinks.

Beverages↗

PubMed1985

Differential immunostaining for substance P in Huntington's diseased and normal spinal cord: significance of serial (optimal, supra-optimal and end-point) dilutions of primary anti-serum in comparing biological specimens.

Using immunocytochemistry (ICC), the number of immunoreaction products (IRPs) visualized for the peptide substance P (SP) appears reduced within the human spinal cord (also substantia nigra) taken at autopsy from cases diagnosed with Huntington's disease (HD) compared with the non-HD cases (Vacca 1983). The reductions of SR-IRPs become apparent in the HD specimens when primary anti-SP serum is applied to the tissue sections at "supra-optimal" dilutions; that is, dilutions greater than the "optimal" dilutions which visualize maximal numbers of SP-IRPs and concomitantly give maximal staining intensity. Curiously, the application of "optimal" dilutions to the HD and non-HD specimens visualizes equivalent numbers of SP-IRPs; therefore, the qualitative and quantitative differences between the specimens become masked. Applying "supra-optimal" dilutions of the anti-SP serum unmasks the difference, and also reveals different end-points for the immunostain deposited in each type of specimen. In both the HD and non-HD specimens, two sizes of SP-IRPs could be identified, large (3 micron) and small (0.7 micron). Presumably they mark two different categories of axons defined by caliber (e.g., C-type and A gamma), or origin (e.g., sensory intrinsic, or supraspinal). Alternatively the large SP-IRPs label tangentially-cut or large axons and nerve terminals. In the present report, counts of the large and small SP-IRPs visualized in the HD and the non-HD specimens have been plotted against the serial dilutions (optimal, supra-optimal and end-point) of the primary anti-SP serum used for ICC. The graphs which result, describe a "titration curve" characteristic for the large SP-IRPs in each specimen.(ABSTRACT TRUNCATED AT 250 WORDS)

Dose-Response Relationship, Immunologic↗

PubMed2007

Modification and optimization of the united-residue (UNRES) potential energy function for canonical simulations. I. Temperature dependence of the effective energy function and tests of the optimization method with single training proteins.

We report the modification and parametrization of the united-residue (UNRES) force field for energy-based protein structure prediction and protein folding simulations. We tested the approach on three training proteins separately: 1E0L (beta), 1GAB (alpha), and 1E0G (alpha + beta). Heretofore, the UNRES force field had been designed and parametrized to locate native-like structures of proteins as global minima of their effective potential energy surfaces, which largely neglected the conformational entropy because decoys composed of only lowest-energy conformations were used to optimize the force field. Recently, we developed a mesoscopic dynamics procedure for UNRES and applied it with success to simulate protein folding pathways. However, the force field turned out to be largely biased toward -helical structures in canonical simulations because the conformational entropy had been neglected in the parametrization. We applied the hierarchical optimization method, developed in our earlier work, to optimize the force field; in this method, the conformational space of a training protein is divided into levels, each corresponding to a certain degree of native-likeness. The levels are ordered according to increasing native-likeness; level 0 corresponds to structures with no native-like elements, and the highest level corresponds to the fully native-like structures. The aim of optimization is to achieve the order of the free energies of levels, decreasing as their native-likeness increases. The procedure is iterative, and decoys of the training protein(s) generated with the energy function parameters of the preceding iteration are used to optimize the force field in a current iteration. We applied the multiplexing replica-exchange molecular dynamics (MREMD) method, recently implemented in UNRES, to generate decoys; with this modification, conformational entropy is taken into account. Moreover, we optimized the free-energy gaps between levels at temperatures corresponding to a predominance of folded or unfolded structures, as well as to structures at the putative folding-transition temperature, changing the sign of the gaps at the transition temperature. This enabled us to obtain force fields characterized by a single peak in the heat capacity at the transition temperature. Furthermore, we introduced temperature dependence to the UNRES force field; this is consistent with the fact that it is a free-energy and not a potential energy function. beta

Biophysics↗

PubMed1999

Optimism and adaptation to multiple sclerosis: what does optimism mean?

The aim of the present study was to determine the meaning of optimism by explicating the dimensions underlying the notion and their links to adjusting to MS. Seventy-three patients responded to optimism questionnaires (i.e., the LOT, Generalized Self-Efficacy Scale) and outcome questionnaires. In confirmatory factor analyses, the underlying dimensions of optimism were specified. Explanatory structural equation modeling was used to examine the relation of the dimensions of optimism to coping (CISS), depression (BDI), and impaired mobility range (SIP). Optimism was found to consist of three dimensions, namely, outcome expectancies, efficacy expectancies, and unrealistic thinking. Outcome and efficacy expectancies explained depression via emotion-oriented coping but did not explain impaired mobility range either directly or indirectly. Unrealistic thinking directly explained impaired mobility range. The present study can be seen as a first step in explicating the role of optimism in the management of chronic disease.

Adaptation, Psychological↗

PubMed1995

Prevalence of dental caries and dental fluorosis in areas with optimal and above-optimal water fluoride concentrations: a 10-year follow-up survey.

OBJECTIVES: This paper presents findings for dental caries and fluorosis from an October 1990 follow-up survey in Illinois and compares results with those obtained from two similar school-based examinations conducted in 1980 and 1985 within the same communities. METHODS: The seven study sites were grouped into four categories according to the approximate relation of their water fluoride concentration to the recommended optimal fluoride level for the area. Tests for differences in dental caries and dental fluorosis across the four water fluoride groupings and three examinations were conducted. RESULTS: DMFS scores for children who resided in communities with above-optimal water fluoride levels did not change significantly from 1980 through 1990. At the optimal water fluoride concentration, caries scores did not change substantially from 1980 to 1985; however, the mean DMFS score in 1990, 1.9, was significantly lower than caries levels observed during the two previous exams. In the optimally fluoridated area, the proportion of fluorosed tooth surfaces increased significantly from 1980 to 1985, but then declined by 1990 to the level observed in 1980 for both age groups. CONCLUSIONS: The results suggest that: (1) in the optimally fluoridated community, the apparent increase in the prevalence of dental fluorosis observed from 1980 to 1985 did not continue from 1985 to 1990; and (2) at above-optimal water fluoride concentrations, dental fluorosis either remained stable or demonstrated no sustained increase over the decade.

Adolescent↗

PubMed2004

Perceptual learning through optimization of attentional weighting: human versus optimal Bayesian learner.

Human performance in visual detection, discrimination, identification, and search tasks typically improves with practice. Psychophysical studies suggest that perceptual learning is mediated by an enhancement in the coding of the signal, and physiological studies suggest that it might be related to the plasticity in the weighting or selection of sensory units coding task relevant information (learning through attention optimization). We propose an experimental paradigm (optimal perceptual learning paradigm) to systematically study the dynamics of perceptual learning in humans by allowing comparisons to that of an optimal Bayesian algorithm and a number of suboptimal learning models. We measured improvement in human localization (eight-alternative forced-choice with feedback) performance of a target randomly sampled from four elongated Gaussian targets with different orientations and polarities and kept as a target for a block of four trials. The results suggest that the human perceptual learning can occur within a lapse of four trials (<1 min) but that human learning is slower and incomplete with respect to the optimal algorithm (23.3% reduction in human efficiency from the 1st-to-4th learning trials). The greatest improvement in human performance, occurring from the 1st-to-2nd learning trial, was also present in the optimal observer, and, thus reflects a property inherent to the visual task and not a property particular to the human perceptual learning mechanism. One notable source of human inefficiency is that, unlike the ideal observer, human learning relies more heavily on previous decisions than on the provided feedback, resulting in no human learning on trials following a previous incorrect localization decision. Finally, the proposed theory and paradigm provide a flexible framework for future studies to evaluate the optimality of human learning of other visual cues and/or sensory modalities.

Adult↗

PubMed1983

Prevalence of dental caries and dental fluorosis in areas with optimal and above-optimal water fluoride concentrations.

The prevalence of dental caries and dental fluorosis was assessed among 807 schoolchildren in four areas of Illinois where the respective water supplies contained natural fluoride at concentrations of 1, 2, 3, and 4 times the recommended optimal for the geographic area. Mean caries scores in all three above-optimal fluoride areas were significantly lower than in the optimal area. The prevalence of dental fluorosis was characteristically low in the optimal fluoride area. Substantial increases in fluorosis occurred in the above-optimal fluoride areas, with the condition being most pronounced in the 4-times optimal area.

Adolescent↗