Shimadzu employees have volunteered to reforest an area in the Duisburg city forest (Germany) planting 1500 new trees and contributing to the long-lasting woodlands development.
Photo Credit: Shimadzu Europa GmbH
Shimadzu employees have volunteered to reforest an area in the Duisburg city forest (Germany) planting 1500 new trees and contributing to the long-lasting woodlands development.
The selected planting area was heavily thinned out and covered primarily with birch and bracken with a sandy soil. Shimadzu selected 1200 young European oak and 300 sweet chestnut, littleleaf linden, and hornbeam. These species fit the natural tree spectrum of the area and should grow well in the local environmental conditions. They are also particularly long-lived, so that future generations will be able to enjoy them. Furthermore, those particular tree species serve as a habitat for many rare and endangered animals, plants, and fungi species, which is an added conservation bonus.
The woodland where the trees were planted is part of the Duisburg Sechs-Seen-Platte (Six Lakes Region), a recreational area with a network of hiking trails of 18 km. The trees were approximately 1.50 m in size and were planted in a relatively dense formation, to enable the New Trees Mission to monitor which trees grow best in the first 20 to 30 years. The strategy mimics nature, which creates an incredibly large number of seedling offspring through natural seeding from the mother tree. Over the years only a few trees will remain and their number will continue to reduce further as they grow. The trees that prevail will be positioned in the best spot and flourish because their access to sunlight and other elemental advantages will be the strongest.
Social responsibility is one of Shimadzu’s established corporate principles and this event which engages in the local community, wider society, and the environment fulfils this principle.
For more information about Shimadzu, please visit: www.shimadzu.eu
AI and GenAI Applications to Help Optimize Purification and Yield of Antibodies From Plasma
October 31st 2024Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.
2024 EAS Awardees Showcase Innovative Research in Analytical Science
November 20th 2024Scientists from the Massachusetts Institute of Technology, the University of Washington, and other leading institutions took the stage at the Eastern Analytical Symposium to accept awards and share insights into their research.