The Book of Psalms

The book of Psalms / critical edition of the Hebrew text printed in colors, with notes by J. Wellhausen; English translation of the notes by J.D. Prince.https://scholar.csl.edu/ebooks/1009/thumbnail.jp

Will autonomous vehicles make public transport obsolete?

Autonomous vehicles are often discussedas a desirable development in the future of transport with great potential improvements onemissions, congestion and safety. This raises the question whether autonomous vehiclescouldpotentiallymake a centralized public transport obsolete. Thethesis begins by discussing differentopinionsin the current literature regardingthe positive and negative impacts of autonomous vehicles on urban mobility. It continues bydeveloping fourscenarios for the future ofmobility. These are discussed in several expert interviews. In conclusion,public transport will potentially remainanimportant urban mobility mode and autonomous vehicles will supportratherthan replace it

Seed coat permeability in certain strains of crimson clover, Trifolium incarnatum L

The question was also raised as to methods by which the reseedong habits could be maintained in Dixie crimson clover. The need for further information as to the validity of such hard-seed requirements led to the initiation of the studies reported herein

Facing Current Quantification Challenges in Protein Microarrays

The proteome is highly variable and differs from cell to cell. The reasons are posttranslational modifications, splice variants, and polymorphisms. Techniques like next-generation sequencing can only give an inadequate picture of the protein status of a cell. Protein microarrays are able to track these changes on the level they occur: the proteomic level. Therefore, protein microarrays are powerful tools for relative protein quantification, to unveil new interaction partners and to track posttranslational modifications. This papers gives an overview on current protein microarray techniques and discusses recent advances in relative protein quantification

ArtPlanner: Robust Legged Robot Navigation in the Field

Due to the highly complex environment present during the DARPA Subterranean Challenge, all six funded teams relied on legged robots as part of their robotic team. Their unique locomotion skills of being able to step over obstacles require special considerations for navigation planning. In this work, we present and examine ArtPlanner, the navigation planner used by team CERBERUS during the Finals. It is based on a sampling-based method that determines valid poses with a reachability abstraction and uses learned foothold scores to restrict areas considered safe for stepping. The resulting planning graph is assigned learned motion costs by a neural network trained in simulation to minimize traversal time and limit the risk of failure. Our method achieves real-time performance with a bounded computation time. We present extensive experimental results gathered during the Finals event of the DARPA Subterranean Challenge, where this method contributed to team CERBERUS winning the competition. It powered navigation of four ANYmal quadrupeds for 90 minutes of autonomous operation without a single planning or locomotion failure

HYBRID DRIVE TRAINS FOR LIGHT AIRCRAFTS

In this paper, the concept of a hybrid drive train for light aircrafts is presented. The benefits of the drive train are discussed by the particular example of the transformation of a well-known Cessna 172 to a hybrid aircraft