Studies of heavy metal sorption by Trenton Channel (Detroit River) sediments

Sediment resuspension plays a dominant physical role in downstream transport of sediment-bound, or in-place pollutants. During resuspension, however, numerous sorption reactions may alter contaminant phase distributions. Previous field resuspension studies on heavily contaminated sediments (Theis et al., 1988, J. Great Lakes Res. 14, 216) showed parallel trends in metal partitioning with pH and time for each of 7 metals (Cd, Co, Cr, Cu, Ni, Pb, Zn), when pH was < 7.5 during resuspension. To improve our ability to interpret follow-up laboratory partitioning experiments using sediments from the field sites, we conducted an evaluation of sediment sample storage as a potential factor leading to field-laboratory partitioning differences. Although metal sorption observed in the laboratory differed substantially from that observed in the field, sample storage effects, reported as holding time and changes in solid phase metal fractionation, gave minimal support for the hypothesis that sample storage caused the differences. It appears, rather, than our in vitro batch equilibrium systems incompletely replicated those attributes of a sediment-water system that are relevant to adsorption and desorption of heavy metals during a resuspension event. Accordingly, we conclude that a general improvement in the understanding of contaminant partitioning would result if future studies would assign greater importance to evaluating the effects of relevant physical phenomena on partitioning (e.g. particle interaction and shear stress), in addition to such widely studied chemical determinants as pH, time, and metal species.     

Global dynamics of a selection model for the growth of a population with genotypic fertility differences

A population growth model is considered for a one locus two allele problem with selection based entirely on fertility differences. A local stability analysis is carried out for the critical points — which include possible polymorphic states — of the resulting nonlinear differential equations. The methods of dynamical systems theory are applied to obtain limiting genotypic proportions for every initial state. Thus the results are global and there are no periodic solutions.Research for this paper was partially supported by the National Science and Engineering Research Council of Canada Grant NSERC A-8130Research for this paper was partially supported by the National Science and Engineering Research Council of Canada Grant NSERC A-4823Research supported by NSF Grant MCS 7901069. A portion of the work was carried out while the author was a Visiting Professor at the University of Utah, Salt Lake City, Utah     

Exploring the Relationship between the Engineering and Physical Sciences and the Health and Life Sciences by Advanced Bibliometric Methods

We investigate the extent to which advances in the health and life sciences (HLS) are dependent on research in the engineering and physical sciences (EPS), particularly physics, chemistry, mathematics, and engineering. The analysis combines two different bibliometric approaches. The first approach to analyze the ‘EPS-HLS interface’ is based on term map visualizations of HLS research fields. We consider 16 clinical fields and five life science fields. On the basis of expert judgment, EPS research in these fields is studied by identifying EPS-related terms in the term maps. In the second approach, a large-scale citation-based network analysis is applied to publications from all fields of science. We work with about 22,000 clusters of publications, each representing a topic in the scientific literature. Citation relations are used to identify topics at the EPS-HLS interface. The two approaches complement each other. The advantages of working with textual data compensate for the limitations of working with citation relations and the other way around. An important advantage of working with textual data is in the in-depth qualitative insights it provides. Working with citation relations, on the other hand, yields many relevant quantitative statistics. We find that EPS research contributes to HLS developments mainly in the following five ways: new materials and their properties; chemical methods for analysis and molecular synthesis; imaging of parts of the body as well as of biomaterial surfaces; medical engineering mainly related to imaging, radiation therapy, signal processing technology, and other medical instrumentation; mathematical and statistical methods for data analysis. In our analysis, about 10% of all EPS and HLS publications are classified as being at the EPS-HLS interface. This percentage has remained more or less constant during the past decade.     

Predator influence on the growth of a population with three genotypes

Summary A predator-prey system is proposed in which the prey species consists of three genotypes. It is shown that in the case of no predation, this system satisfies the Hardy-Weinberg principle. In the case where the genotype with the recessive gene has an advantage in its susceptibility to predation, it is shown that the other genotypes move toward extinction. Research for this paper was partially supported by the National Research Council of Canada Grant NRC A-4823, and was carried out while this author was visiting The University of Iowa.     

A medium for the selective isolation of Edwardsiella ictaluri

A selective medium, called Edwardsiella ictaluri medium (EIM), has been formulated for the isolation of Edwardsiella ictaluri. The medium inhibits the growth of most gram-negative bacteria, except Proteus sp., Serratia marcescens and some isolates of Aeromonas hydrophila and Yersinia ruckeri. The bacteria that grow on the EIM are easily differentiated from E. ictaluri based on colony morphology. The EIM inhibits gram-positive bacteria with the exception of enterococci. The addition of fungizone to EIM suppressed the growth of most fungi. The EIM allows the evaluation of environmental reservoirs, levels of contamination and carrier states of E. ictaluri.     

Decay-associated emission spectra and other spectral evidence for the physical intercalation of 7,8-dihydroxy-7,8-dihydrobenzo[a]pyrene into DNA

A benzo[a]pyrene derivative, 7,8-dihydroxy-7,8-dihydrobenzo[a]pyrene, forms physical complexes with DNA. The measured absorption spectrum of the hydrocarbon in the complex is shifted approximately 10 nm to the red and the fluorescence emission spectrum is red-shifted approximately 6 nm, characteristic of a physical intercalation complex. The decay-associated emission spectra of the hydrocarbon in the presence of DNA have been measured, thus providing a new technique to obtain information about the DNA binding sites. The decay-associated emission spectra of the free and bound hydrocarbons were obtained by deconvoluting the time-dependent emission at several wavelengths. Stern-Volmer plots with iodide and silver ions as quenchers suggest that at least one set of binding sites for the formation of a physical intercalation complex between the benzo[a]pyrene derivative and DNA is at guanine sites in the biopolymer.     

The effect of analgesic drugs on the instillation/abortion time of hypertonic saline induced mid-trimester abortion

Three drugs, a non-steroid anti-inflammatory drug sodium salicylate, an analgesic propoxyphene hydrochloride and an antipyretic-analgesic acetaminophen were administered orally to patients undergoing mid-trimester hypertonic saline induced abortion to determine analgesic potency and the effect on the instillation/abortion time interval (I/ATI). Sodium salicylate (structurally related to acetylsalicylic acid, aspirin) and propoxyphene hydrochloride did not prolong the I/ATI. Acetaminophen, reportedly free of anti-inflammatory activity, prolonged the I/ATI. Clinically, acetaminophen and propoxyphene appeared to provide better analgesia than sodium salicylate. The hypothesized relationship of the three drugs to suppression of prostaglandin biosynthesis is presented.     

Comparative microbial modules resource: generation and visualization of multi-species biclusters

The increasing abundance of large-scale, high-throughput datasets for many closely related organisms provides opportunities for comparative analysis via the simultaneous biclustering of datasets from multiple species. These analyses require a reformulation of how to organize multi-species datasets and visualize comparative genomics data analyses results. Recently, we developed a method, multi-species cMonkey, which integrates heterogeneous high-throughput datatypes from multiple species to identify conserved regulatory modules. Here we present an integrated data visualization system, built upon the Gaggle, enabling exploration of our method's results (available at http://meatwad.bio.nyu.edu/cmmr.html). The system can also be used to explore other comparative genomics datasets and outputs from other data analysis procedures - results from other multiple-species clustering programs or from independent clustering of different single-species datasets. We provide an example use of our system for two bacteria, Escherichia coli and Salmonella Typhimurium. We illustrate the use of our system by exploring conserved biclusters involved in nitrogen metabolism, uncovering a putative function for yjjI, a currently uncharacterized gene that we predict to be involved in nitrogen assimilation.