Search Results for "e-learning"

...Copyright (c) 2020 Yu-Pin Lin / 林裕彬 Department of Bioenvironmental Systems Engineering National Taiwan University No. 1, Sec. 4, Roosevelt Road Taipei 10617 Taiwan R.O.C. Office Phone: 886-2-33663467; Fax: 886-2-2368-6980 E-mail: yplin@ntu.edu.tw http://homepage.ntu.edu.tw/~yplin/Scales-Taiwan.htm The code can be found here: https://sourceforge.net/p/arcgis-nra-tool/code/ci/main/tree/ References: Lin YP, Schmeller DS, Ding TS, Wang YC, Lien WY, et al. (2020) A GIS-based policy support tool to determine national responsibilities and priorities for biodiversity conservation. ...

Fuzzy Ecospace Modelling (FEM) is an R-based program for quantifying and comparing functional disparity, using a fuzzy set theory-based machine learning approach. FEM clusters n-dimensional matrices of functional traits (ecospace matrices – here called the Training Matrix) into functional groups and converts them into fuzzy functional groups using fuzzy discriminant analysis (Lin and Chen 2004 – see main text for more information). Following this, FEM classifies the functional entities from a second matrix (the Test Matrix) into the groups made using the Training Matrix, generating fuzzy membership values for each unit in the Test Matrix. ...

The aim of the project is create a learning tools for students. If children become aware of consumption, perhaps they will be able to influence and affect a larger system of the school. Within smart energies, the goal of the monitoring system is the control and management, even remotely, ofconsumption and production of energy users are characterized by complex energy systems.

...R. (2011). Genome-scale dynamic modeling of the competition between Rhodoferax and Geobacter in anoxic subsurface environments. The ISME journal. Zhuang, K., Ma, E., Lovley, D. R., & Mahadevan, R. (2012). The design of long-term effective uranium bioremediation strategy using a community metabolic model. Biotechnology and Bioengineering.

DLESE (Digital Library for Earth System Education) is a community-supported digital library dedicated to the collection, enhancement, and distribution of materials that facilitate learning about the Earth. Sponsored by the US National Science Foundation.