Open Access. Powered by Scholars. Published by Universities.®

Forest Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Forest Sciences

Beryllium Biochemistry In A Forested Ecosystem, Stephen A. Norton, Charles Thomas Hess, Ivan J. Fernandez Sep 1999

Beryllium Biochemistry In A Forested Ecosystem, Stephen A. Norton, Charles Thomas Hess, Ivan J. Fernandez

University of Maine Office of Research Administration: Grant Reports

High rates of atmospheric deposition of beryllium are toxic biologically and are exacerbated by synergistic interaction with aluminum. The Czech Republic is experiencing growing problems, and similar consequences may well soon be experienced in Maine. An expert international research team would pursue parallel pilot studies into the biogeochemical controls on Be fate and transport by examining beryllium biogeochemistry in forested ecosystems. This project funds the work in Maine and travel for international collaboration; the Czechs are supporting the work in their country. The plan for the pilot study is to develop chemical time series for beryllium fluxes into, through, and …


Goali/Iucp: Prediction Of Wood Pulp K-Number With Neural Networks, Mohamad T. Musavi, Daniel Coughlin Jun 1999

Goali/Iucp: Prediction Of Wood Pulp K-Number With Neural Networks, Mohamad T. Musavi, Daniel Coughlin

University of Maine Office of Research Administration: Grant Reports

Lignin holds wood fibers together, and must be removed to produce high strength pulp for kraft paper. The Kappa- or K-number indicates the degree of lignin removal by a pulping process, and is probably the key variable for measuring quality in this process. A difficulty is that it is an off-line measurement. More importantly, there is usually a four hour process delay between when raw materials enter a pulping digester and when the K-number is measured. This makes modeling and control difficult. This Grant Opportunity for Academic Liaison with Industry project uses neural network models to predict K-number as a …