Re-Purposing Groundwater Flow Models for Age Assessments: Important Characteristics.

Groundwater flow model construction is often time-consuming and costly, with development ideally focused on a specific purpose, such as quantifying well capture from water bodies or providing flow fields for simulating advective transport. As environmental challenges evolve, the incentive to re-purpose existing groundwater flow models may increase. However, few studies have evaluated which characteristics of groundwater flow models deserve greatest consideration when re-purposing models for groundwater age and advective transport simulations.

Breath analysis in gastrointestinal graft-versus-host disease after allogeneic hematopoietic cell transplantation.

Volatile organic compounds (VOCs) are generated during pathologic processes, and their assessment can be used to diagnose and monitor a variety of diseases. Given the role of the microbiome in graft-versus-host disease (GVHD), we hypothesized that microorganisms producing volatile metabolites may alter VOCs expelled in breath in patients with gastrointestinal (GI) GVHD. In this pilot study, exhaled breath samples were obtained from 19 patients with grade 2 to 4 acute GI GVHD, 10 patients with no GVHD at day 100, and 10 healthy control subjects; the samples were analyzed by using mass spectrometry.

Comparative Effectiveness of Busulfan and Fludarabine versus Fludarabine and 400 cGy Total Body Irradiation Conditioning Regimens for Acute Myeloid Leukemia/Myelodysplastic Syndrome.

Allogeneic hematopoietic cell transplantation conditioning regimen intensity has varied for patients with acute myeloid leukemia and myelodysplastic syndrome. A comparative effectiveness analysis was performed to assess outcomes of busulfan and fludarabine (BuFlu) versus those of fludarabine and 400 cGy total body irradiation (FluTBI) conditioning. Thirty-three subjects received BuFlu and 38 received FluTBI.

Scripting MODFLOW Model Development Using Python and FloPy.

Graphical user interfaces (GUIs) are commonly used to construct and postprocess numerical groundwater flow and transport models. Scripting model development with the programming language Python is presented here as an alternative approach. One advantage of Python is that there are many packages available to facilitate the model development process, including packages for plotting, array manipulation, optimization, and data analysis.