Publications by authors named "Jack Carlson"

2 Publications

  • Page 1 of 1

Massive Chondrolysis and Joint Destruction after Artificial Anterior Cruciate Ligament Repair.

Case Rep Orthop 2021 26;2021:6634935. Epub 2021 May 26.

Department of Orthopaedics, Bathurst Hospital, Bathurst, NSW 2795, Australia.

The Ligament Augmentation Reconstruction System (LARS) is an artificial ligament made of polyethylene terephthalate (PET) used for anterior cruciate ligament (ACL) reconstruction in Australia. Poor results with previous generations of synthetic grafts causing synovitis, graft failure, and premature osteoarthritis have encouraged the production of the newer LARS ligament with good results. We present a case of massive chondrolysis and joint destruction after LARS implantation requiring total knee replacement in a 23-year-old male. This case documents a rare and severe complication to the LARS ligament as caution for the implementation of this device in young athlete.
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http://dx.doi.org/10.1155/2021/6634935DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172314PMC
May 2021

IAEA Isotope-enabled coupled catchment-lake water balance model, IWBMIso: description and validation.

Isotopes Environ Health Stud 2016 Aug-Oct;52(4-5):427-42. Epub 2016 Mar 10.

b Department of Civil and Environmental Engineering , Colorado State University , Fort Collins , CO , USA.

The International Atomic Energy Agency (IAEA) Water Balance Model with Isotopes (IWBMIso) is a spatially distributed monthly water balance model that considers water fluxes and storages and their associated isotopic compositions. It is composed of a lake water balance model that is tightly coupled with a catchment water balance model. Measured isotope compositions of precipitation, rivers, lakes, and groundwater provide data that can be used to make an improved estimate of the magnitude of the fluxes among the model components. The model has been developed using the Object Modelling System (OMS). A variety of open source geographic information systems and web-based tools have been combined to provide user support for (1) basin delineation, characterization, and parameterization; (2) data pre-processing; (3) model calibration and application; and (4) visualization and analysis of model results. In regions where measured data are limited, the model can use freely available global data sets of climate, isotopic composition of precipitation, and soils and vegetation characteristics to create input data files and estimate spatially distributed model parameters. The OMS model engine and support functions, and the spatial and web-based tool set are integrated using the Colorado State University Environmental Risk Assessment and Management System (eRAMS) framework. The IWBMIso can be used to assess the spatial and temporal variability of annual and monthly water balance components for input to water planning and management.
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http://dx.doi.org/10.1080/10256016.2015.1113959DOI Listing
April 2017
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