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PubMed2001

A probabilistic union model with automatic order selection for noisy speech recognition.

A critical issue in exploiting the potential of the sub-band-based approach to robust speech recognition is the method of combining the sub-band observations, for selecting the bands unaffected by noise. A new method for this purpose, i.e., the probabilistic union model, was recently introduced. This model has been shown to be capable of dealing with band-limited corruption, requiring no knowledge about the band position and statistical distribution of the noise. A parameter within the model, which we call its order, gives the best results when it equals the number of noisy bands. Since this information may not be available in practice, in this paper we introduce an automatic algorithm for selecting the order, based on the state duration pattern generated by the hidden Markov model (HMM). The algorithm has been tested on the TIDIGITS database corrupted by various types of additive band-limited noise with unknown noisy bands. The results have shown that the union model equipped with the new algorithm can achieve a recognition performance similar to that achieved when the number of noisy bands is known. The results show a very significant improvement over the traditional full-band model, without requiring prior information on either the position or the number of noisy bands. The principle of the algorithm for selecting the order based on state duration may also be applied to other sub-band combination methods.

Algorithms↗

PubMed1990

A comparison of multivariable mathematical methods for predicting survival--III. Accuracy of predictions in generating and challenge sets.

This paper concludes a study of "performance variability" when four methods of multivariable analysis--multiple linear regression, discriminant function analysis, multiple logistic regression, and two arrangements of Cox's proportional hazards regression--were applied to the same stratified random samples of "generating sets" containing seven different statistical distributions of cogent biologic attributes in a composite staging system for a large cohort of patients with lung cancer. Each model developed from the generating sets was also applied for predictions in a previously sequestered "challenge set". Across the different generating sets, the multivariable methods showed good agreement with one another in the stepwise choice of first two powerful predictor variables, but not in the sequence of subsequent choices or in the standardized coefficients assigned to the same collection of "forced" variables. In concordance of predictions for individual patients in the generating sets, the overall proportions of disagreement for pairs of methods ranged from 0 to 28%, and kappa values ranged from 0.49 to 1.00. The accuracy of individual predictions showed relatively similar results when the different methods were applied to the same generating set. Across the generating sets, the different methods showed similar total results but substantial variations in predictions for alive and dead patients. When the models from the generating sets were applied for predictions in the challenge set, the results showed an analogous pattern: similar accuracy within models for overall and live/dead predictions, but substantial variations in live/dead predictions across models derived from different generating sources. The results showed that the multivariable methods often had good agreement with one another in predictions for groups but not for individual persons; and that no single method was superior to the others or to the composite staging system. We conclude that multivariable analytic methods may be most effective and consistent if used to find the few most powerful predictor variables, omitting the many other variables that may be "statistically significant" but less cogent. The powerful predictors may sometimes be best constructed, before the analysis begins, as composite variables containing appropriate unions or ordinal arrangements of elemental candidate variables.

Cohort Studies↗

PubMed2001

[Study on the epidemiological feature and control measure for rabies from 1990 to 2000 in Jiangsu province].

OBJECTIVE: To analyze the epidemiological feature of rabies and explore the risk factors in Jiangsu for the control of rabies. METHODS: Data on rabies in Jiangsu from Jan. 1990 to Sep. 2000, and on case studies as well as surveillance from 1998 to 2000, were collected. Circular distribution statistics and Chi-square test were used. RESULTS: The number of rabies had been decreasing since 1990 yearly, but increased in the last two years. The new cases of rabies tended to focus in the area of Nantong, Yanchen and Taizhou city. There were about 80% of cases in the above areas. Dogs were the main hosts (93.22%). Ninety-four point nine two percent of the persons were affected through dog bites with major wounded part as thoracic limbs (46.27%). Rates of severe bites, being wounded close to the central nervous system and more than 1 wound per cases were significantly higher than that in the population under surveillance. The antibody conversion rate was 86.28% after immunization in the surveillance population. The immunization rate was 58.20% among dogs. CONCLUSION: Severe deep bites, wounded part close to the central nervous system and more than 1 wound per case were the risk factors in patients with rabies. Maltreatment and low immunization rate were important risk factors as well.

Animals↗

PubMed2003

[Use of statistical process control charts in the epidemiological surveillance of nosocomial infections].

OBJECTIVE: To monitor occurrence trends and identify clusters of nosocomial infection (NI) using statistical process control (SPC) charts. METHODS: Between January 1998 and December 2000 nosocomial infection occurrence was evaluated in a cohort of 460 patients admitted to the Pediatric Intensive Care Unit of a university hospital, according to the concepts and criteria proposed by the National Nosocomial Infection Surveillance System of the Centers for Disease Control, in the United States. Graphs were plotted using Poisson statistical distribution, including four horizontal lines: center line (CL), upper warning limit (UWL) and upper control limit (UCL). The CL was the arithmetic mean NI rate calculated for the studied period; UWL and UCL were drawn at 2 and 3 standard deviations above average NI rates, respectively. Clusters were identified when NI rates remained above UCL. RESULTS: Mean NI incidence was 20 per 1,000 patient days. One urinary tract infection cluster was identified in July 2000, with an infection rate of 63 per 1,000 patient days, exceeding UCL and characterizing a period of epidemic. CONCLUSIONS: The use of SPC charts for controlling endemic levels of NI, through both global and site-specific evaluation, allowed for the identification of uncommon variations in NI rates, such as outbreaks and epidemics, and for their distinction from the natural variations observed in NI occurrence rates, without the need for calculations and hypothesis testing.

Adolescent↗

PubMedDate not supplied

Source separation in astrophysical maps using independent factor analysis.

A microwave sky map results from a combination of signals from various astrophysical sources, such as cosmic microwave background radiation, synchrotron radiation and galactic dust radiation. To derive information about these sources, one needs to separate them from the measured maps on different frequency channels. Our insufficient knowledge of the weights to be given to the individual signals at different frequencies makes this a difficult task. Recent work on the problem led to only limited success due to ignoring the noise and to the lack of a suitable statistical model for the sources. In this paper, we derive the statistical distribution of some source realizations, and check the appropriateness of a Gaussian mixture model for them. A source separation technique, namely, independent factor analysis, has been suggested recently in the literature for Gaussian mixture sources in the presence of noise. This technique employs a three layered neural network architecture which allows a simple, hierarchical treatment of the problem. We modify the algorithm proposed in the literature to accommodate for space-varying noise and test its performance on simulated astrophysical maps. We also compare the performances of an expectation-maximization and a simulated annealing learning algorithm in estimating the mixture matrix and the source model parameters. The problem with expectation-maximization is that it does not ensure global optimization, and thus the choice of the starting point is a critical task. Indeed, we did not succeed to reach good solutions for random initializations of the algorithm. Conversely, our experiments with simulated annealing yielded initialization-independent results. The mixing matrix and the means and coefficients in the source model were estimated with a good accuracy while some of the variances of the components in the mixture model were not estimated satisfactorily.

Astronomy↗

PubMed2002

Looking at the relationship between hemoglobin concentration and prevalent mobility difficulty in older women. Should the criteria currently used to define anemia in older people be reevaluated?

OBJECTIVES: The World Health Organization (WHO) and other currently used criteria for defining anemia in older women are mainly based on statistical distribution considerations. To explore their clinical appropriateness, we evaluated the relationship between hemoglobin (Hb) concentration, prevalent mobility difficulty, and the Summary Performance Score (SPS). DESIGN: Cross-sectional study. SETTING: Two population-based studies, the Women's Health and Aging Studies I and II, Baltimore, Maryland. PARTICIPANTS: Six hundred thirty-three community-dwelling women aged 70 to 80 with Hb levels obtained within 90 days from baseline assessment. MEASUREMENTS: Mobility difficulty (self-reported difficulty walking one-quarter of a mile or climbing 10 steps (primary outcome)). SPS, a performance-based summary measure of lower extremity function that combines the results of walking, chair stands, and balance tests (secondary outcome). RESULTS: Mobility difficulty prevalence was not constant within the WHO "normal" Hb range (12.0-16.0 g/dL). For example, a Hb of 13.5 g/dL was associated with a significantly lower mobility difficulty prevalence than a Hb of 12.0 g/dL (OR=0.68, 95% CI=0.47-0.93), even after adjustment for chronic diseases and other relevant health indicators. A consistent trend of improvement in performance-based scores with increasing Hb categories less than 12.0 g/dL, 12.0 to 13.0g/dL, and 13.0-14.0 g/dL was observed. CONCLUSION: Our findings raise two hypotheses: (1) Hb currently perceived as "mildly-low" and even "low-normal" might have an independent, adverse effect on mobility function, and (2) Hb of 12.0 g/dL might be a suboptimal criterion for defining anemia in older women. Formal testing of these hypotheses might prove relevant for anemia- and mobility disability-related clinical decision-making.

Aged↗

PubMed2006

An approach for developing a national estimate of waterborne disease due to drinking water and a national estimate model application.

In this paper, the US Environmental Protection Agency (EPA) presents an approach and a national estimate of drinking water related endemic acute gastrointestinal illness (AGI) that uses information from epidemiologic studies. There have been a limited number of epidemiologic studies that have measured waterborne disease occurrence in the United States. For this analysis, we assume that certain unknown incidence of AGI in each public drinking water system is due to drinking water and that a statistical distribution of the different incidence rates for the population served by each system can be estimated to inform a mean national estimate of AGI illness due to drinking water. Data from public water systems suggest that the incidence rate of AGI due to drinking water may vary by several orders of magnitude. In addition, data from epidemiologic studies show AGI incidence due to drinking water ranging from essentially none (or less than the study detection level) to a rate of 0.26 cases per person-year. Considering these two perspectives collectively, and associated uncertainties, EPA has developed an analytical approach and model for generating a national estimate of annual AGI illness due to drinking water. EPA developed a national estimate of waterborne disease to address, in part, the 1996 Safe Drinking Water Act Amendments. The national estimate uses best available science, but also recognizes gaps in the data to support some of the model assumptions and uncertainties in the estimate. Based on the model presented, EPA estimates a mean incidence of AGI attributable to drinking water of 0.06 cases per year (with a 95% credible interval of 0.02-0.12). The mean estimate represents approximately 8.5% of cases of AGI illness due to all causes among the population served by community water systems. The estimated incidence translates to 16.4 million cases/year among the same population. The estimate illustrates the potential usefulness and challenges of the approach, and provides a focus for discussions of data needs and future study designs. Areas of major uncertainty that currently limit the usefulness of the approach are discussed in the context of the estimate analysis.

Communicable Diseases↗

PubMedDate not supplied

Review of MR image segmentation techniques using pattern recognition.

This paper has reviewed, with somewhat variable coverage, the nine MR image segmentation techniques itemized in Table II. A wide array of approaches have been discussed; each has its merits and drawbacks. We have also given pointers to other approaches not discussed in depth in this review. The methods reviewed fall roughly into four model groups: c-means, maximum likelihood, neural networks, and k-nearest neighbor rules. Both supervised and unsupervised schemes require human intervention to obtain clinically useful results in MR segmentation. Unsupervised techniques require somewhat less interaction on a per patient/image basis. Maximum likelihood techniques have had some success, but are very susceptible to the choice of training region, which may need to be chosen slice by slice for even one patient. Generally, techniques that must assume an underlying statistical distribution of the data (such as LML and UML) do not appear promising, since tissue regions of interest do not usually obey the distributional tendencies of probability density functions. The most promising supervised techniques reviewed seem to be FF/NN methods that allow hidden layers to be configured as examples are presented to the system. An example of a self-configuring network, FF/CC, was also discussed. The relatively simple k-nearest neighbor rule algorithms (hard and fuzzy) have also shown promise in the supervised category. Unsupervised techniques based upon fuzzy c-means clustering algorithms have also shown great promise in MR image segmentation. Several unsupervised connectionist techniques have recently been experimented with on MR images of the brain and have provided promising initial results. A pixel-intensity-based edge detection algorithm has recently been used to provide promising segmentations of the brain. This is also an unsupervised technique, older versions of which have been susceptible to oversegmenting the image because of the lack of clear boundaries between tissue types or finding uninteresting boundaries between slightly different types of the same tissue. To conclude, we offer some remarks about improving MR segmentation techniques. The better unsupervised techniques are too slow. Improving speed via parallelization and optimization will improve their competitiveness with, e.g., the k-nn rule, which is the fastest technique covered in this review. Another area for development is dynamic cluster validity. Unsupervised methods need better ways to specify and adjust c, the number of tissue classes found by the algorithm. Initialization is a third important area of research. Many of the schemes listed in Table II are sensitive to good initialization, both in terms of the parameters of the design, as well as operator selection of training data.(ABSTRACT TRUNCATED AT 400 WORDS)

Algorithms↗

PubMed1988

Length of the styloid process of the temporal bone.

The length of 404 styloid processes of the temporal bone was measured on 246 macerated skulls from men and women aged between 26 and 93 years. The statistical distribution of the styloid processes in function of their length obviously shows the existence of two different groups. In the first one, the length is inferior or equal to 20 mm, while it is superior to this value in the second one. A length more than 30 mm that cannot be related with age is common (29%) despite its low clinical occurrence. To explain the existence of short and long styloid processes, a variable involvement of the different segments of the Reichert's cartilage during the morphogenesis is suggested.

Adult↗

PubMed1998

Expression of transforming growth factor beta isoforms in osteosarcoma variants: association of TGF beta 1 with high-grade osteosarcomas.

Studies on osteosarcoma cell lines point to the potential importance of transforming growth factor beta (TGF beta) as an autocrine factor which controls the growth of human osteosarcomas. To define further the role of TGF beta isoforms in these neoplasms, a series of 27 osteosarcomas was studied using immunohistochemical, mRNA in situ hybridization, and reverse transcriptase-polymerase chain reaction (RT-PCR) techniques. All 14 central high-grade osteosarcomas, two telangiectatic osteosarcomas, and one high-grade surface osteosarcoma showed cytoplasmic immunoreactivity for TGF beta 1, -2, and -3. The expression of TGF beta 1 was moderate or diffuse in 14 cases (82.3 per cent), while low expression was detected in only three cases (17.7 per cent). For TGF beta 2 and -3, only moderate or diffuse staining was observed. Low-grade parosteal and periosteal osteosarcomas showed low or undetectable levels of TGF beta 1, while TGF beta 2 and -3 were moderately or diffusely expressed. Finally, three dedifferentiated parosteal osteosarcomas were diffusely positive for TGF beta 1, -2, and -3 in the high-grade component, while in the low-grade component, available for analysis in two of these cases, TGF beta 1 was demonstrated in a few neoplastic cells, and TGF beta 2 and -3 maintained a diffuse distribution. Statistical analysis of these data showed that high-grade osteosarcomas had a significantly higher expression of TGF beta 1 than low-grade osteosarcomas, while levels of TGF beta 2 and -3 were comparable in the two groups (p < 0.001; p = 0.3; p = 0.3, respectively; Fisher's exact test). Similarly, mRNA levels of TGF beta 1 detected by in situ hybridization were significantly higher (p = 0.04, Fisher's exact test) in high-grade osteosarcoma variants, while no differences were found for TGF beta 2 and -3 mRNA (p = 1.0; p = 0.2, respectively; Fisher's exact test). In addition, mRNA analysis performed by RT-PCR in seven cases (five high-grade and two low-grade osteosarcomas) confirmed the presence of high levels of TGF beta 1 in high-grade osteosarcomas, while low-grade tumours had low or absent mRNA expression. In conclusion, this positive association suggests that TGF beta 1 may be involved in determining the aggressive clinical behaviour of high-grade osteosarcomas.

Bone Neoplasms↗

PubMedDate not supplied

Exploratory spatial analysis of birth defect rates in an urban population.

Are birth defect rates unusually high in particular urban localities? The answer requires that the birth defect rate for which 'significance' is claimed be adjusted for the variable population sizes of each area for which the rate is computed and for the spatial dependence of rates based on shared observations between neighboring areas. By address-matching birth and birth defect records to a digital road map, we are able to compute local birth defect rates at regular grid locations by dividing the number of birth defects that occurred in the geographical vicinity of a grid location by the total number of births in the same vicinity. We test for significance, at regular spatial intervals, against the null hypothesis that the observed rate at any locality could reasonably have arisen by chance alone, given the underlying geographical variation in births. Significance is determined by using Monte Carlo simulations, where each birth location has an identical probability of being a defect. From 1000 simulations, a statistical distribution of the birth defect rate for each grid location is determined. The proportion of the simulated birth defect rates that are less than the observed rate at any grid location is the probability that the observed rate is significant. These probabilities, portrayed as isarithmic maps, show areas that have significantly high birth defect rates. Our results show birth defect rates for the period 1983 to 1990 in Des Moines, Iowa, U.S.A.

Cluster Analysis↗

PubMed1997

Computer-based technique for cell aggregation analysis and cell aggregation in in vitro chondrogenesis.

No quantitative methods are currently available to measure different aggregation parameters in cell cultures. In this paper we describe a computer-based technique for the automatic and reliable analysis of cellular aggregates, starting from optical microscopy images of living cells grown in suspension. The method allows determination, on the same sample at different time intervals, of quantitative parameters, including aggregation percentage, average number of cells in aggregates, and aggregate size statistical distribution. To determine the number of cells in an aggregate starting from its two-dimensional microscopic profile, a model has been proposed and verified, using sphere packing theory. Algorithms have been tested on chondrocyte suspension cultures, where cell aggregation is a very early and critical event leading to cell differentiation. Using this technique for the analysis of chick embryo chondrocyte cultures, we observed that aggregate size and development kinetics depend on the culture conditions used. The method, with minor adaptations, is of potential use also in other cell systems to evaluate aggregation indexes or to study aggregation kinetics.

Animals↗

PubMed1997

Study of magnetic fields from power-frequency current on water lines.

The magnetic fields from power-frequency current flowing on water lines were investigated in a new approach that involved an area-wide survey in a small town. Magnetic fields were measured outside the residence under power cables and over water lines, and each residence was characterized as to whether it received water from a private well or the municipal water system. The magnetic field data revealed two statistical modes when they were related to water supply type. The data also showed that in the case of the high mode, the magnetic field remained constant along the line formed by power drop wires, at the back of the house, and the water hookup service, in front of the house, all the way to the street. The patterns are explained by the coincidence of measurement points and the presence of net current flowing on power mains, power drop conductors, residential plumbing, water service hookups, and water mains. These patterns, together with other characteristics of this magnetic field source, such as the gradual spatial fall-off of this field and the presence of a constant component in the time sequence, portray a magnetic field more uniform and constant in the residential environment than has been thought to exist. Such characteristics make up for the weakness of the source and make net current a significant source of exposure in the lives of individuals around the house, when human exposure to magnetic fields is assumed to be a cumulative effect over time. This, together with the bimodal statistical distribution of the residential magnetic field (related to water supply type), presents opportunities for retrospective epidemiological analysis. Water line type and its ability to conduct power-frequency current can be used as the historical marker for a bimodal exposure inference, as Wertheimer et al. have shown.

Data Collection↗

PubMed1984

The accuracy of self-reported regulatory data: the case of coal mine dust.

Coal-mine owners are required to measure miner exposures to respirable dust so that compliance with Federal health regulations can be monitored. This study analyzes the problem of possible underreporting of dust exposures. Using two statistical approaches, data for three mining occupations in 54 large underground coal mines during 1976-1978 are examined for evidence of underreporting. First, regression estimates compare dust concentrations reported by coal-mine owners with those reported by government health inspectors. Then, the statistical distribution of concentrations reported by coal-mine owners are examined for the size and nature of their deviation from log-normality. Both approaches suggest widespread underreporting.

Air Pollutants, Occupational↗

PubMed2003

Enhanced Li+ binding energies in alkylbenzene derivatives: the scorpion effect.

The gas-phase lithium cation basicities (LCBs; Gibbs free energy of binding) of ethyl-, n-butyl-, and n-heptylbenzene have been measured by Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry. The structures of the corresponding complexes and their relative stabilities were investigated through the use of B3LYP/6-311G(+)(3df,2p)//B3LYP/6-31G(d) density functional theory calculations. For n-butylbenzene and n-heptylbenzene, the most stable adducts correspond to pi complexes in which the alkyl chain coils toward the aromatic ring to favor its interaction with the metal cation. The extra stabilization provided by the flexible alkyl chain polarized by the charge on Li(+) is named the "scorpion effect". Conversely, these coiled conformations are among the least stable in the neutral system; they are not all stationary points on the potential-energy surface. The formation of complexes with a coiled alkyl chain leads to a significant enhancement of the Li(+) bonding energies (LBEs), which are approximately 20-30 kJ mol(-1) higher than those calculated for alkylbenzene pi complexes in which an uncoiled chain remains distant from the cation and thus minimizes the scorpion effect. This enhancement is less significant when LCBs are concerned, because the scorpion effect is entropically disfavored. There is very good agreement between the experimental Li(+) gas-phase basicities and the calculated values, provided that the statistical distribution of the conformers present in the gas phase is taken into account in this calculation.

Journal Article↗

PubMed2006

Complexes between lithium cation and diphenylalkanes in the gas phase: the pincer effect.

The gas-phase lithium cation basicities (LCB values, Gibbs free energies of binding) of alpha,omega-diphenylalkanes Ph-(CH(2))(n)-Ph (n=2, 3, or 7) and 1,1-diphenylethane Ph-CH(Me)-Ph were investigated by means of Fourier-transform ion cyclotron resonance (FTICR) mass spectrometry. Their structures, and those of the corresponding Li(+) complexes were optimized at the B3LYP/6-31G(d) level and their relative stabilities calculated at the B3LYP/6-311+G(3df,2p)//B3LYP/6-31G(d) level. Whereas the most stable conformers of the free diphenylalkanes were found to adopt a completely stretched aliphatic chain connecting the two benzene rings, the most stable Li(+) complexes correspond to conformers in which the alkali metal cation interacts simultaneously with both benzene rings through the folding of the aliphatic chain ("pincer effect"). This chelation brings about a significant enhancement of the Li(+) binding enthalpies (LBE values), which were calculated to be approximately 75 kJ mol(-1) higher than those evaluated for conventional (singly coordinated) pi complexes in which the metal cation interacts with only one of the benzene rings. The increase of the corresponding lithium cation basicities, however, (Gibbs free energies of Li(+) binding, LCB values) was calculated to be smaller by approximately 15 kJ mol(-1) as the pincer effect is entropically disfavored. The good agreement between the calculated LCB values, assuming a statistical distribution of the different conformers present in the gas phase, and the experimental LCB values measured by means of FTICR mass spectrometry are considered indirect evidence of the existence of the pincer effect.

Journal Article↗

PubMed2001

Third-party rights and risks: a forum on informed consent of persons affected by the study of human subjects--conditions, experiences, and concerns in a Nordic country.

In Denmark, health research using personal information can be conducted only with permission from a regional scientific ethical committee and the national Data Protection Office. There are no rules applying to the rights and risks of third parties. In this article, the implications for third-party rights and risks of the type and level of involvement of the subjects are discussed from a Danish point of view. Particular emphasis is put on the current conditions, experiences, and concerns with regard to use of already registered personal information, which in the Nordic countries offers unique opportunities for large-scale, longitudinal, population-based studies also involving third parties. These opportunities have recently been challenged by a European Community Directive, with which all member states must comply, requiring informed consent on every transaction of personal data, but through a political process, it was possible to obtain a series of amendments allowing the special register-based research to continue. Crucial arguments favoring the amendments were that no damage has been observed so far and that such research has no interest in the individual data, only in the statistical distributions and associations. Finally, the article suggests that the rights and risks of third parties might be considered on the basis of use: third-party information provided by the subject only as a source of such information distinct from use of the information as an integral part of the subjects' information about themselves and their lives.

Denmark↗

PubMed2005

Single chromophore spectroscopy of MEH-PPV: homing-in on the elementary emissive species in conjugated polymers.

Low-temperature, single-molecule spectroscopy can provide unparalleled access to the primary emissive species of conjugated polymers. We demonstrate this with the example of one of the most commonly studied polymers, poly(2-methoxy-5-(2'-ethylhexoxy)-1,4-phenylenevinylene), MEH-PPV, which is shown to exhibit sharp fluorescence signatures over one hundred times narrower than the ensemble. These unprecedented narrow emission features can be assigned to single chromophores on the polymer chain, which are selectively addressed by the narrow band excitation. As with organic dye systems, the emission from single chromophores is not static with time, but shows a substantial spectral fluctuation. We find that, for single chromophores, this spectral fluctuation always follows a universal Gaussian statistical distribution. High-resolution spectroscopy provides unique insight into low-energy vibrational modes in the polymer emission, which are generally inaccessible with conventional spectroscopic methods such as site-selective fluorescence or Raman spectroscopy. Interchromophoric coupling can also occur owing to the flexible nature of the polymer backbone. This leads to substantial spectral broadening and a loss of resolution in the vibronic progression. We observe reversible switching within one single molecule between narrow and broad emission, which directly correlates with a discrete switching in emission intensity. We conclude that one and the same single molecule can support aggregated and nonaggregated emission, that is, emission from isolated and aggregated chromophores in one single molecule, rather than the tendency for aggregate emission being intrinsic to the molecule.

Journal Article↗