The program offers you an opportunity to reduce your printer related expenses.
Alagus Print Admin makes statistics, analysis and reports for the printed pages by every user and printer. Set limits for the page count and print priority for every user or group of users. Create Rules for every single printer concerning whom, what and where is trying to print.
Use the Print Activity feature to monitor the daily, monthly or yearly number of the printed pages for a printer or a group of printers. You can search already printed documents by keyword from the title of the print jobs.
Using the Event viewer feature you can track all the events generated by your printers (like Unable to connect, Offline, Down, Paused etc.) See the total cost for the printed pages by defining the price for every different paper format (A4, A3, B4, etc).
Get an instant notification (popup message or/and e-mail) for every event that you have chosen. Use the unique options Save, Load, Copy, Paste, Pause, Resume, Restart and Cancel (just like in Windows) for manipulating the print jobs.
See the status of your printers by checking online the LCD display, tray status, detail printer information. You can remotely change the printer environments and even reset the printer.
You can quickly connect to a printer using Telnet and HTTP. On this basis, you can optimize the network printers utilization and reduce the inefficient expenses.
The program offers you an opportunity to reduce your printer related expenses.
Alagus Print Admin makes statistics, analysis and reports for the printed pages by every user and printer. Set limits for the page count and print priority for every user or group of users. Create Rules for every single printer concerning whom, what and where is trying to print.
Use the Print Activity feature to monitor the daily, monthly or yearly number of the printed pages for a printer or a group of printers. You can search already printed documents by keyword from the title of the print jobs.
Using the Event viewer feature you can track all the events generated by your printers (like Unable to connect, Offline, Down, Paused etc.) See the total cost for the printed pages by defining the price for every different paper format (A4, A3, B4, etc).
Get an instant notification (popup message or/and e-mail) for every event that you have chosen. Use the unique options Save, Load, Copy, Paste, Pause, Resume, Restart eea19f52d2
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Numap is designed to provide a unified platform for fast training, validation, and software of regression/approximation networks including the multilayer perceptron (MLP), functional link network, and piecewise linear network.
The SOM and K-Means clustering is also included. Fast pruning algorithms create and validate a nested sequence of different size networks, to facilitate structural risk minimization.
C source code for applying trained networks is provided, so users can use networks in their own applications. User-supplied txt-format training data files, containing rows of numbers, can be of any size. Example training data is also provided. Fast VB Graphics for network training error and cluster formation are included. Extensive help files are provided in the software.
Numap7 is highly automated and requires very few parameter choices by the user. This version runs significantly faster. Advanced features include network sizing and feature selection.
Training data can be compressed using the discrete Karhunen-Loeve’ transform (KLT). This basic version of Numap7 limits the MLP to 10 hidden units and limits the PLN to 10 clusters. Upgradable to commercial versions which lack these limitations.
The classification (decision making) version of this software, called Nuclass7, is also available. Numap7.0 was developed by the Image Processing and Neural Networks Lab of Univ. of Texas at Arlington, and by Neural Decision Lab LLC.
The goal of this study was to investigate the effect of the extracellular matrix (ECM) on both the electrical activity and the sensitivity of rat dorsal root ganglia (DRG) sensory neurons. Therefore, cultured DRG neurons were grown on poly-L-lysine (PLL) or Laminin. Since there is controversy about the effect of PLL on growth cone behavior and neurite outgrowth of neurons, Laminin was added to PLL-coated wells. DRG neurons were grown for 4 days in the presence of ECM and the following measurements were performed: 1) extracellular current recordings of voltage-gated sodium and potassium channels; 2) the number of action potentials generated by the presence of an orthodromic and an antidromic stimulus; and 3) the percentage of sensory neurons which showed an increase in action potential frequency in response to a 1 s, 1 nA depolarizing pulse. Axons grew better on Laminin than on PLL. Moreover, neurons grew faster when
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