River Basin Export Reduction Optimization Support Tool; a tool to screen options for reducing nutrient loads while minimizing cost.

Excess loading of nitrogen and phosphorus to river networks causes environmental harm, but reducing loads from large river basins is difficult and expensive. We develop a new tool, the River Basin Export Reduction Optimization Support Tool (RBEROST) to identify least-cost combinations of management practices that will reduce nutrient loading to target levels in downstream and mid-network waterbodies. We demonstrate the utility of the tool in a case study in the Upper Connecticut River basin in New England, USA. The total project cost of optimized lowest-cost plans ranged from $18.0 million to $41.0 million per year over 15 years depending on user specifications. Plans include both point source and non-point source management practices, and most costs are associated with urban stormwater practices. Adding a 2% margin of safety to loading targets improved estimated probability of success from 37.5% to 99%. The large spatial scale of RBEROST, and the consideration of both point and non-point source contributions of nutrients, makes it well suited as an initial screening tool in watershed planning.

Real-time non-adiabatic dynamics in the one-dimensional Holstein model: Trajectory-based vs exact methods.

We benchmark a set of quantum-chemistry methods, including multitrajectory Ehrenfest, fewest-switches surface-hopping, and multiconfigurational-Ehrenfest dynamics, against exact quantum-many-body techniques by studying real-time dynamics in the Holstein model. This is a paradigmatic model in condensed matter theory incorporating a local coupling of electrons to Einstein phonons. For the two-site and three-site Holstein model, we discuss the exact and quantum-chemistry methods in terms of the Born-Huang formalism, covering different initial states, which either start on a single Born-Oppenheimer surface, or with the electron localized to a single site. For extended systems with up to 51 sites, we address both the physics of single Holstein polarons and the dynamics of charge-density waves at finite electron densities. For these extended systems, we compare the quantum-chemistry methods to exact dynamics obtained from time-dependent density matrix renormalization group calculations with local basis optimization (DMRG-LBO). We observe that the multitrajectory Ehrenfest method, in general, only captures the ultrashort time dynamics accurately. In contrast, the surface-hopping method with suitable corrections provides a much better description of the long-time behavior but struggles with the short-time description of coherences between different Born-Oppenheimer states. We show that the multiconfigurational Ehrenfest method yields a significant improvement over the multitrajectory Ehrenfest method and can be converged to the exact results in small systems with moderate computational efforts. We further observe that for extended systems, this convergence is slower with respect to the number of configurations. Our benchmark study demonstrates that DMRG-LBO is a useful tool for assessing the quality of the quantum-chemistry methods.

Colloid formation during waste form reaction: implications for nuclear waste disposal.

Insoluble plutonium- and americium-bearing colloidal particles formed during simulated weathering of a high-level nuclear waste glass. Nearly 100 percent of the total plutonium and americium in test ground water was concentrated in these submicrometer particles. These results indicate that models of actinide mobility and repository integrity, which assume complete solubility of actinides in ground water, underestimate the potential for radionuclide release into the environment. A colloid-trapping mechanism may be necessary for a waste repository to meet long-term performance specifications.

Personalized busulfan and treosulfan conditioning for pediatric stem cell transplantation: the role of pharmacogenetics and pharmacokinetics.

Busulfan- and treosulfan-based conditionings are the cornerstone of pediatric allogeneic hematopoietic stem cell transplantation (HSCT). Although both drugs are alkylating agents, their mechanisms of action, pharmacokinetics (PK) and toxicity profiles are different. Experience with busulfan in pediatric HSCT is broad and the knowledge on the pharmacodynamics (PD), PK and, to a lesser extent, pharmacogenetics (PG) has resulted in a more effective therapy. Treosulfan has only recently been introduced in pediatric HSCT and is considered a promising new therapy because of its beneficial toxicity profile. However, knowledge of the PK and PG of treosulfan is limited. In this review, we describe the pharmacology of both agents and discuss factors causing variability in PK in relation to therapeutic outcome in HSCT.

Effect of genetic polymorphisms in genes encoding GST isoenzymes on BU pharmacokinetics in adult patients undergoing hematopoietic SCT.

BU is used in conditioning regimens before hemopoietic SCT. High BU exposure is associated with toxicity, whereas low BU exposure leads to higher rates of therapy failure. The pharmacokinetics of BU show large interpatient variability, hypothesized to be caused by variability in BU metabolism. In this report, the effect of genetic polymorphisms in three gluthatione S-transferase genes involved in BU metabolism (hGSTA1), GSTM1 (deletion-mutation) and GSTP1 (313A/G) on the pharmacokinetics of BU in Caucasian adult patients was investigated. In all, 66 adult patients received BU as part of their conditioning regimen. After the first infusion, two serum samples were collected and measured using a HPLC assay. A one-compartment population model was used to estimate individual pharmacokinetic parameters. The genetic variants of the three glutathione S-transferase (GST) genes were determined by pyrosequencing and PCR. A reduction of 14% in BU clearance was seen for the GSTA1*B allele and an increase in BU exposure was found. No relationship was found between polymorphisms in GSTM1 and GSTP1 and BU pharmacokinetics. This study shows that an increasing number of copies of GSTA1*B allele results in a significant decrease of BU clearance.