Name | Modified | Size | Downloads / Week |
---|---|---|---|
Parent folder | |||
Equations.xlsx | 2015-10-12 | 8.0 kB | |
Totals: 1 Item | 8.0 kB | 0 |
/** * * FPF_predict v1.0 - Application implements models described by classical mathematical equation for in vitro deposition prediction based on characteristics of formulation and assay conditions. Copyright (C) 2014 Jakub Szlęk This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>. This file incorporates work covered by the following copyright and permission notice: Pacławski Adam, Szlęk Jakub, Lau Raymond, Jachowicz Renata, Mendyk Aleksander. Empirical Model Development. Authors Units of Origin: Department of Pharmaceutcial Technology and Biopharmaceutics, Jagiellonian University Medical College, Medyczna 9 st., 30-688 Kraków, e-mail: adam.paclawski@uj.edu.pl School of Chemical and Biomedical Engineering, College of Engineering Nanyang Technological University (NTU), 62 Nanyang Drive, Singapore 637459 Fine particle fraction (FPF) predictor based on equations developed with use of rgp package from R environment Author contact: via e-mail: j.szlek@uj.edu.pl via mail: Department of Pharmaceutical Technology and Biopharmaceutics, Faculty of Pharmacy, Jagiellonian University, Medical College, Cracow, Medyczna 9 St. 30-688 Cracow, Poland, MSc Jakub Szlęk RUNNING FPF_predict.jar To run the project from the command line, go to the dist folder and type the following: java -jar "FPF_predict.jar" * * **/