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160. GwEEP - A comprehensive approach for genome-wide efficiency profiling of DNA modifying enzymes

161. Seven Paradoxes of Business Process Management in a Hyper-Connected World

168. A Modest Approach to Modelling and Checking Markov Automata

169. Human Practice. Digital Ecologies. Our Future. : 14. Internationale Tagung Wirtschaftsinformatik (WI 2019) : Tagungsband

171. Rejection-Based Simulation of Stochastic Spreading Processes on Complex Networks

172. Myogenic Cell Transplantation in Genetic and Acquired Diseases of Skeletal Muscle.

173. UNDERSTANDING SMART SERVICE SYSTEMS TRANSFORMATION--A SOCIO-TECHNICAL PERSPECTIVE.

174. Additional file 2: of EP3 (prostaglandin E2 receptor 3) expression is a prognostic factor for progression-free and overall survival in sporadic breast cancer

175. Additional file 1: of EP3 (prostaglandin E2 receptor 3) expression is a prognostic factor for progression-free and overall survival in sporadic breast cancer

178. Detecting temporal workarounds in business processes – A deep-learning-based method for analysing event log data

185. CONCEPTUALIZING THE IMPACT OF WORKAROUNDS -- AN ORGANIZATIONAL ROUTINES' PERSPECTIVE.

186. Synthesis of highly functionalized biaryls by condensation of 2-fluoro-1,3-bis(silyloxy) 1,3-dienes with 3-cyanochromones and subsequent domino 'retro-michael/aldol/fragmentation'

188. Linking three market models to project Russian and Ukrainian wheat markets till 2030

191. Strategy Elements for a Sustainable Bioenergy Policy Based on Scenarios and Systems Modeling: Germany as Example

192. Changes to EU Biofuel Policy- Turmoil on Feedstock Markets

193. Summary of Milestones 2030 : Elements and milestones for the development of a stable and sustainable bioenergy strategy

194. Meilensteine 2030: Elemente und Meilensteine für die Entwicklung einer tragfähigen und nachhaltigen Bioenergiestrategie : Endbericht zu FKZ 03KB065, FKZ 03MAP230

195. The Impact of Process Automation on Manufacturers' Long-Term Knowledge.

198. Bounding the equilibrium distribution of Markov population models

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