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Peter Christiansen

Researcher at Aarhus University

Publications -  296
Citations -  10583

Peter Christiansen is an academic researcher from Aarhus University. The author has contributed to research in topics: Production (computer science) & Rapidity. The author has an hindex of 44, co-authored 291 publications receiving 9669 citations. Previous affiliations of Peter Christiansen include University of Copenhagen & Sdu.

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Λc+ production in pp and in p-Pb collisions at sNN=5.02 TeV

Shreyasi Acharya, +995 more
- 09 Nov 2021 - 
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Pulsatile Gonadotropin-Releasing Hormone Treatment of Men with Idiopathic Hypogonadotropic Hypogonadism

TL;DR: Pulsatile GnRH therapy is a well-tolerated and effective therapy for the induction of spermatogenesis in some men with idiopathic hypog onadotropic hypogonadism, and it appears that a significant fraction of them should be treated for a minimum of 1–2 years to maximize testicular growth and achieve sperMatogenesis.
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The Influence of Tool Texture on Friction and Lubrication in Strip Reduction Testing

TL;DR: In this paper, a strip reduction test was conducted with tools provided with shallow, longitudinal pockets oriented perpendicular to the sliding direction, and the experiments reveal that the distance between pockets should be larger than the pocket width, thereby creating a topography similar to flat table mountains to avoid mechanical interlocking in the valleys; otherwise, an increase in drawing load and pick-up on the tools are observed.
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Continuous Strip Reduction Test Simulating Tribological Conditions in Ironing

TL;DR: In this paper, a Strip Reduction Test (SRT) is proposed for industrial ironing processes that is capable of replicating the highly severe tribological conditions that are experienced during both the forward stroke and the backward retraction of the punch.
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Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation.

TL;DR: This paper presents a multi-modal obstacle and environment detection and recognition approach for process evaluation in agricultural fields that detects and maps static and dynamic obstacles globally, while providing process-relevant information along the traversed trajectory.