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The structures of complexes between polyethylene imine and sodium dodecyl sulfate in D2O: a scattering study.

The association between a highly branched polyelectrolyte with ionizable groups, polyethylene imine (PEI), and an anionic surfactant, sodium dodecyl sulfate (SDS), has been investigated at two pH values, using small-angle neutron and light scattering. The scattering data allow us to obtain a detailed picture of the association structures formed. Small-angle neutron scattering (SANS) measurements in solutions containing highly charged PEI at low pH and low SDS concentrations indicate the presence of disklike aggregates. The aggregates change to a more complex three-dimensional structure with increasing surfactant concentration. One pronounced feature in the scattering curves is the presence of a Bragg-like peak at high q-values observed at a surfactant concentration of 4.2 mM and above. This scattering feature is attributed to the formation of a common well-ordered PEI/SDS structure, in analogue to what has been reported for other polyelectrolyte-surfactant systems. Precipitation occurred at the charge neutralization point, and X-ray diffraction measurements on the precipitate confirmed the existence of an ordered structure within the PEI/SDS aggregates, which was identified as a lamellar internal organization. Polyethylene imine has a low charge density in alkaline solutions. At pH 10.1 and under conditions where the surfactant was contrast matched, the SANS scattering curves showed only small changes with increasing surfactant concentration. This suggests that the polymer acts as a template onto which the surfactant molecules aggregate. Data from both static light scattering and SANS recorded under conditions where SDS and to a lower degree PEI contribute to the scattering were found to be consistent with a structure of stacked elliptic bilayers. These structures increased in size and became more compact as the surfactant concentration was increased up to the charge neutralization point.

Deuterium Oxide↗

Evaluation of monograph selection in a health sciences library.

This article reports on an evaluation of recent monograph selections in a small academic health sciences library. Actual use of each new book was determined from date-due slips. Data were analyzed by broad subject, discipline, and number of uses. The startling result was that more than 60% of recent selections had been used little or not at all. To determine factors affecting use, the author examined aggregate data, used intuition, and assessed the raw data in more detail. Recommendations made to management were approved and implemented. The study bolstered confidence that it is possible to select materials with the highest potential for use and to depend on remote access for other needed works. It is suggested that other health sciences libraries undertake such studies and question the need to strive for comprehensive collections.

Book Selection↗

Crossing the line from physical discipline to child abuse: how much is too much?

OBJECTIVE: The aim of this paper was to better differentiate physical discipline, corporal punishment, and physical child abuse based on samples drawn from the United States. METHODOLOGY: The American literature was examined to differentiate these three constructs, first on such dimensions as severity, intention, and child effects; and second on key contextual or environmental factors empirically associated with higher rates of violent behavior in families. Third, normative data on parental spanking frequencies were summarized to better operationalize patterns of physical discipline among abusive and nonabusive parents. RESULTS: Five articles that met selection criteria revealed that abusive parents spanked their children more often than did nonabusive parents. Aggregated data from nonabusive parents were used to compute a continuum or "normal range" of daily spanking frequencies from 0 to 5.73 (M = 2.5) times in 24 hours. CONCLUSION: While further research is needed to address spanking intensity, severity, and context, results of the research suggest that "relative exposure" to spanking may be an additional risk marker for abuse when considered with other known indicators or risk factors.

Child↗

Effects of image orientation on the comparability of pediatric brain volumes using three-dimensional MR data.

PURPOSE: The purpose of this study was to examine the comparability of morphometric measurements made on pediatric data sets collected at five scanner locations, each using variations on a 3D spoiled gradient-recalled echo (SPGR) pulse sequence. METHOD: Archived MR data from 60 typically developing children were collected and separated into seven groups based on the pulse sequence used. A highly automated image-processing procedure was used to segment the brain data into white tissue, gray tissue, and CSF compartments and into various neuroanatomic regions of interest. RESULTS: Volumetric comparisons between groups revealed differences in areas of the temporal and occipital lobes. These differences were observed when comparing data sets with different image orientations and appeared to be due to partial volume averaging (PVA) and susceptibility-induced geometric distortions. CONCLUSION: Our results indicate that slice selection and image resolution should be controlled in volumetric studies using aggregated data from multiple centers to minimize the effects of PVA and susceptibility-induced geometric distortions.

Adolescent↗

Health and GIS: toward spatial statistical analyses.

This study examined the extent to which health studies, mostly in public health and epidemiology, used geographical information systems (GIS). We identified a wide range of tools they used-ranging from geocoding through simple buffer/overlay functions to spatial query functions. However, studies tend to rely on tools outside of GIS for spatial statistical analyses. This may reflect a lack of spatial statistical tools that are suitable for health researchers whose data are rather geographically aggregated count data than continuous data. Implementation within GIS of spatial analytical tools suitable for aggregated data over a region will increase the use of GIS beyond simple GIS operations in health studies.

Geographic Information Systems↗

Statistical analysis of nitrogen balance data with reference to the lysine requirement in adults.

Statistical analysis of nitrogen balance data is an important approach to the estimation of human nutrient requirement. The usual procedure is to regress nitrogen (N) balance on intake and to define the requirement as intake that would produce zero balance. In the actual application of this methodology, there are a number of options, and in the present study we explore the sensitivity of the regression approach to those options. To put this problem into a realistic context, we examine the current controversy over the lysine requirements of healthy adults. From early N balance studies, investigators concluded that the mean requirement was generally less than 10 mg. kg(-1). d(-1), whereas based on recent (13)C-tracer and metabolic studies, we propose a tentative mean requirement of approximately 30 mg. kg(-1). d(-1). Jones et al. (1956) conducted careful N balance studies from which they derived an estimate of lysine requirement of less than about 8 mg. kg(-1). d(-1). We reanalyzed these data with different choices of modes of analysis, mathematical models, and different assumptions concerning the magnitude of miscellaneous N losses. We find that for these data the choice of a specific mathematical model has only a small effect on resultant estimates of requirement, while estimated requirements are very sensitive to amount of unmeasured losses that are assumed and how the model is applied (whether the aggregate data are fitted in one pass to a single model, or the data for each individual subject are fitted to that individual's unique model). Moreover, our reanalysis suggests that the population requirement for lysine is in the range of 17 to 36 mg. kg(-1). d(-1) and strongly supports a lysine requirement value of about 30 mg. kg(-1). d(-1). In general, our results indicate that whenever possible, N balance data should be analyzed using a square root model fitted to individual data and that the median of the individual requirements so derived be used as the estimate of population requirement. Moreover, clearly any statistical analyses of N balance data should include a sensitivity analysis to determine the influence of underlying assumptions. Finally, the finding that these estimates are highly dependent on the assumed amount of N miscellaneous losses recommends that further studies on these losses and of the factors that influence them are essential.

Adult↗

A novel and robust feature selection method with FDR control for omics-wide association analysis.

Omics-wide association analysis is a very important tool for medicine and human health study. However, the modern omics data sets collected often exhibit the high-dimensionality, unknown distribution response, unknown distribution features and unknown complex association relationships between the response and its explanatory features. Reliable association analysis results depend on an accurate modeling for such data sets. Most of the existing association analysis methods rely on the specific model assumptions and lack effective false discovery rate (FDR) control. To address these limitations, the paper firstly applies a single index model for omics data. The model shows robust performance in allowing the relationships between the response variable and linear combination of covariates to be connected by any unknown monotonic link function, and both the random error and the covariates can follow any unknown distribution. Then based on this model, the paper combines rank-based approach and symmetrized data aggregation approach to develop a novel and robust feature selection method for achieving fine-mapping of risk features while controlling the false positive rate of selection. The theoretical results support the proposed method and the analysis results of simulated data show the new method possesses effective and robust performance for all the scenarios. The new method is also used to analyze the two real datasets and identifies some risk features unreported by the existing finds.

Humans↗

The loglinear model as a tool for the analysis of demographic data.

The author discusses the use of loglinear models in demographic analysis, particularly with regard to the analysis of contingency tables. Their use is illustrated using data from the 1980 World Fertility Survey for Sudan to analyze the determinants of fifth-birth intervals. The results show "the ability of the technique to improve our understanding of the mechanism of fertility differentials using individual--instead of aggregate--data. It has shown how each variable affects the process when all other variables are held constant."

Africa↗

Psychosocial determinants of smoking in Swiss adolescents with special reference to school stress and social capital in schools.

OBJECTIVES: To identify the major psychosocial determinants of smoking in adolescents and the school influence on these determinants. METHODS: Cross-sectional questionnaire survey in 8th grade (age 14.8 years, n = 459) of 14 schools. Logistic regression with smoking as the dependent, and psychosocial indicators as independent variables. Total climate score for each school computed as the sum of scores of five school-related indicators. Linear regression analysis on aggregate data (school level), controlling for gender, ethnicity, and social class. RESULTS: Five out of 15 tested psychosocial indicators were identified as independent protective factors. The prevalence of smoking decreased steeply with an increasing number of protective factors. In the regression analysis on the aggregate level the mean number of protective factors per school and the prevalence of smoking were significantly related to the school climate score (R2 = 0.650, p < 0.001, and R2 = 0.456, p < 0.001). CONCLUSIONS: Provided a causal interpretation of the cross-sectional statistical associations is correct, efforts to improve the general climate in schools appear as a promising strategy to enhance individual protective factors. Longitudinal evaluative studies are needed to prove the effectiveness of such a strategy.

Adolescent↗

Spatial and temporal patterns in civil violence: Guatemala, 1977-1986.

Civil violence is a complex and often horrific phenomenon whose characteristics have varied by era, setting, and circumstance. Its objective analysis has rarely been feasible at spatial and temporal scales great enough and resolutions fine enough to reveal patterns useful in prevention, intervention, or adjudication. An extraordinary data set simultaneously meeting scale and resolution criteria was collected during conflict in Guatemala from 1977 through 1986. Reported here is its spatial-temporal analysis; reported as well is a putatively novel method for estimating power-law exponents from aggregate data. Analysis showed that the relationship between ethnic mix and killing was smooth yet highly nonlinear, that the temporal texture of killings was rough, and that the distribution of killing-event sizes was dichotomous, with nongenocidal and genocidal conflict periods displaying Zipf and non-Zipf distributions, respectively. These results add statistical support to claims that the Guatemalan military operated under at least two directives with respect to killing and that one of these effected a genocidal campaign against an indigenous people, the Mayans. Implications for group-behavioral modeling, conflict prevention, peace-keeping intervention, human-rights monitoring, and transitional justice are noted.

Journal Article↗

Generalized additive models for cancer mapping with incomplete covariates.

Maps depicting cancer incidence rates have become useful tools in public health research, giving valuable information about the spatial variation in rates of disease. Typically, these maps are generated using count data aggregated over areas such as counties or census blocks. However, with the proliferation of geographic information systems and related databases, it is becoming easier to obtain exact spatial locations for the cancer cases and suitable control subjects. The use of such point data allows us to adjust for individual-level covariates, such as age and smoking status, when estimating the spatial variation in disease risk. Unfortunately, such covariate information is often subject to missingness. We propose a method for mapping cancer risk when covariates are not completely observed. We model these data using a logistic generalized additive model. Estimates of the linear and non-linear effects are obtained using a mixed effects model representation. We develop an EM algorithm to account for missing data and the random effects. Since the expectation step involves an intractable integral, we estimate the E-step with a Laplace approximation. This framework provides a general method for handling missing covariate values when fitting generalized additive models. We illustrate our method through an analysis of cancer incidence data from Cape Cod, Massachusetts. These analyses demonstrate that standard complete-case methods can yield biased estimates of the spatial variation of cancer risk.

Algorithms↗

Uganda study found that death reduced HIV prevalence; did the public take home the wrong message?

Uganda has had a remarkable decline in HIV prevalence, and the question of what caused this decline is controversial. An intensive study of the Rakai region of Uganda from 1994 - 2003 found that much of the decreased prevalence resulted from death of people with HIV. But the incidence of new HIV infections was low throughout this study and did not change greatly, suggesting that the real cause of the success was a large reduction in new infections before the study began. The early data presented at the February 2005 Retroviruses conference also showed increasing use of condoms, and some backsliding on reducing the number of sexual partners. But neither change was big enough to greatly affect the incidence of new infections, at least in the aggregate data across the 50 villages studied. In summary, the big reduction in HIV prevalence occurred because of changes that happened before this study, not those measured within it. Therefore the new information does not contradict reduction in the number of sexual partners as a major cause of Uganda's success.

Adolescent↗

Intelligent management of epidemiologic data.

In the lifecycle of epidemiologic data three steps can be identified: production, interpretation and exploitation for decision. Computerized support can be precious, if not indispensable, at any of the three levels, therefore several epidemiologic data management systems were developed. In this paper we focus on intelligent management of epidemiologic data, where intelligence is needed in order to analyze trends or to compare observed with reference value and possibly detect abnormalities. After having outlined the problems involved in such a task, we show the features of ADAMS, a system realized to manage aggregated data and implemented in a personal computer environment.

Artificial Intelligence↗

Physical mechanisms for chemotactic pattern formation by bacteria.

This paper formulates a theory for chemotactic pattern formation by the bacteria Escherichia coli in the presence of excreted attractant. In a chemotactically neutral background, through chemoattractant signaling, the bacteria organize into swarm rings and aggregates. The analysis invokes only those physical processes that are both justifiable by known biochemistry and necessary and sufficient for swarm ring migration and aggregate formation. Swarm rings migrate in the absence of an external chemoattractant gradient. The ring motion is caused by the depletion of a substrate that is necessary to produce attractant. Several scaling laws are proposed and are demonstrated to be consistent with experimental data. Aggregate formation corresponds to finite time singularities in which the bacterial density diverges at a point. Instabilities of swarm rings leading to aggregate formation occur via a mechanism similar to aggregate formation itself: when the mass density of the swarm ring exceeds a threshold, the ring collapses cylindrically and then destabilizes into aggregates. This sequence of events is demonstrated both in the theoretical model and in the experiments.

Aspartic Acid↗

A logistic model of the seasonal migration decision for elderly households in Arizona and Minnesota.

While most previous studies of elderly migration have investigated permanent migration using Census data, this paper employs household (micro) data from statewide surveys conducted in Arizona and Minnesota to analyze seasonal migration as an economic decision. Estimation of logistic regression models for each state indicate income and age are important determinants, whereas these variables have not proven significant in previous studies based on aggregate data. The results lead to the conclusion that seasonal migration may be an integral part of a life cycle of elderly migration.

Aged↗

The generalized matching law in elite sport competition: football play calling as operant choice.

A mathematical model of operant choice, the generalized matching law was used to analyze play-calling data from the 2004 National Football League season. In all analyses, the relative ratio of passing to rushing plays was examined as a function of the relative ratio of reinforcement, defined as yards gained, from passing versus rushing. Different analyses focused on season-aggregate data for the league as a whole, game-by-game data for the league as a whole, and game-by-game data for individual teams. In all analyses except those for a few individual teams, the generalized matching law accounted for a majority of variance in play calling. The typical play-calling pattern reflected undermatching (suggesting imperfect sensitivity of play calling to yardage-gained reinforcers) and a bias for calling rushing plays. Bias was found to be a function of both the relative risk of turnovers and the relative variability in yards gained associated with passing versus rushing plays. The external validity of the matching analyses was supported by significant correlations between parameters of the generalized matching law and team success on offense and season winning percentage. These results illustrate the broad applicability of the generalized matching law to problems outside of the laboratory.

Choice Behavior↗

Neighbourhood low income, income inequality and health in Toronto.

OBJECTIVES: This study examines the association of neighbourhood low income and income inequality with individual health outcomes in Toronto, Canada's largest census metropolitan area. DATA SOURCES: The data are from the cross-sectional component of Statistics Canada's 1996/97 National Population Health Survey (NPHS) and the 1996 Census of Population. ANALYTICAL TECHNIQUES: Individual records for Toronto residents aged 12 or older who responded to the 1996/97 NPHS were augmented with aggregated data from the 1996 Census to provide information on the average socio-economic characteristics of the respondents' neighbourhoods. Hierarchical linear models were used to estimate the effect of low income and income inequality at the neighbourhood level on selected health outcomes. MAIN RESULTS: When individual low-income status and several other individual characteristics were taken into account, the neighbourhood low-income rate and income inequality were not associated with individuals' reported number of chronic conditions or distress. However, both low income and income inequality at the neighbourhood level remained significantly associated with poor self-perceived health.

Adolescent↗

Initial results for urban metal distributions in house dusts of Syracuse, New York, USA.

A program of house dust sample collection and analysis has begun in Syracuse, New York, USA, in order to determine the feasibility of a geography-based exposure assessment for urban metals. The sampling program, and the protocols it employs, is described for two different types of wipe media, Ghost Wipes and Whatman Filters. Preliminary results show that strong spatial patterns of floor dust loading (mg dust per square foot) can be observed for data aggregated at a spatial scale of about 1600 m (approximately 2.5 km2). Floor dust metal concentrations were similar to those found in other urban environments, with some regional variation. The median floor dust Pb concentration was approximately 108 mg x kg(-1) for this initial data set of approximately 264 sampled residential locations, and varied from 50 to 1100 mg Pb x kg(-1).

Air Pollution, Indoor↗