The Metabolic Interactive Simulation Tool, MIST, is a software package, running under Microsoft Windows 3.1, which can be used for dynamic simulations, stoichiometric calculations and control analysis of metabolic pathways. The pathways can be of any complexity and are defined by the user in a simple, interactive way. The user-defined enzymatic rate equations can be compiled either by an external or an internal compiler. Simulations of pathways compiled by an external compiler run significantly faster, but since these compilers are commercial software, they are not distributed together with MIST. The simulations are performed by numerical integration of a set of ordinary differential equations. The integration can be done by either an explicit fourth-order Runge-Kutta algorithm or a semi-implicit third-order Runge-Kutta algorithm, both with adjustable step size. The second algorithm can be used if the set of differential equations is stiff. Vector-based drawing facilities are included in the program, with which results can be presented in graphs. Results of simulations, including graphics, can be stored in files. MIST is a very user-friendly, flexible and yet powerful program, with the mathematical details regarding models, simulations and calculations hidden from the user. This makes it suitable for scientists and students with limited computer experience.
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http://dx.doi.org/10.1093/bioinformatics/11.2.201 | DOI Listing |
Sensors (Basel)
August 2024
Department of Mechanical Engineering, Soongsil University, Seoul 06978, Republic of Korea.
This study presents a framework for enabling autonomous pick-place operations, addressing the need for efficiency in complex logistics environments using a direct multi-target teaching interface. First, tag and segmentation information were combined to recognize products in a complex warehouse, and a camera was installed on the rack to allow workers to remotely see the work environment, allowing workers to view the work environment in real time through a tablet. Workers can access the camera view showing the rack containing the target product through a swiping action and select the target product through direct teaching action.
View Article and Find Full Text PDFNanoscale Horiz
August 2024
Department of Mechanical Engineering, Iowa State University, Ames, Iowa 50011, USA.
Monitoring of pesticide concentration distribution across farm fields is crucial to ensure precise and efficient application while preventing overuse or untreated areas. Inspired by nature's wettability patterns, we developed a biomimetic fern leaf pesticide collection patch using laser-induced graphene (LIG) alongside an external electrochemical LIG biosensor. This "collect-and-sense" system allows for rapid pesticide spray monitoring in the farm field.
View Article and Find Full Text PDFClin Neuropsychol
September 2008
Department of Psychiatry, University of California, San Diego, CA, USA.
The construct of prospective memory (ProM), or "remembering to remember," is hypothesized to play a critical role in normal activities of daily living and has increasingly been the focus of clinical research over the past 10 years. However, the assessment of ProM as part of routine clinical care is presently hampered by the paucity of psychometrically sound, validated ProM tests available in the neuropsychological literature. The Memory for Intentions Screening Test (MIST; Raskin, 2004) is a user-friendly, comprehensive measure of ProM that demonstrates preliminary evidence of construct validity.
View Article and Find Full Text PDFJ Hosp Infect
October 2008
Department of Clinical Microbiology, Nottingham University Hospital NHS Trust, Queen's Medical Centre, Nottingham, UK.
Clostridium difficile causes serious healthcare-associated infections. Infection control is difficult, due in part to environmental contamination with C. difficile spores.
View Article and Find Full Text PDFNucleic Acids Res
January 2007
Joint Institute for Computational Sciences, The University of Tennessee-Oak Ridge National Laboratory, Oak Ridge, TN 37831-6173, USA.
Signal transduction pathways control most cellular activities in living cells ranging from regulation of gene expression to fine-tuning enzymatic activity and controlling motile behavior in response to extracellular and intracellular signals. Because of their extreme sequence variability and extensive domain shuffling, signal transduction proteins are difficult to identify, and their current annotation in most leading databases is often incomplete or erroneous. To overcome this problem, we have developed the microbial signal transduction (MiST) database (http://genomics.
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