Publications by authors named "M Eich"

Article Synopsis
  • Photonic crystals (PhCs) are optical structures that manipulate light by creating a photonic band gap (PBG) through their dielectric properties, traditionally fixed and static.
  • Recent advancements target switchable PhCs, especially using vanadium dioxide (VO), which changes its state and optical properties near room temperature, allowing for a reversible adjustment of the PBG.
  • This research introduces a fabrication method for 3D switchable VO photonic crystals, demonstrating significant control over PBG at specific wavelengths in the near-infrared region, paving the way for versatile photonic devices that can adapt their functionalities.
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We present the rare case of a 51-year-old male diagnosed with a solitary fibrous tumor (SFT) of the prostate, along with a concurrent low-grade prostate adenocarcinoma (Gleason score 3 + 3, Grade Group 1). The diagnosis was confirmed by positive immunohistochemical markers, including CD34, BCL2, and STAT6, and molecular analysis showing a NAB2-STAT6 fusion. Following successful surgical management and the simultaneous diagnosis of a pulmonary relapse from a prior thyroid carcinoma, the patient remains under clinical surveillance.

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Observation of the decay.

Eur Phys J C Part Fields

October 2024

Using proton-proton collision data corresponding to an integrated luminosity of collected by the CMS experiment at , the decay is observed for the first time, with a statistical significance exceeding 5 standard deviations. The relative branching fraction, with respect to the decay, is measured to be , where the first uncertainty is statistical, the second is systematic, and the third is related to the uncertainties in and .

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A search for collective effects inside jets produced in proton-proton collisions is performed via correlation measurements of charged particles using the CMS detector at the CERN LHC. The analysis uses data collected at a center-of-mass energy of sqrt[s]=13  TeV, corresponding to an integrated luminosity of 138  fb^{-1}. Jets are reconstructed with the anti-k_{T} algorithm with a distance parameter of 0.

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Article Synopsis
  • Demand for computing power in major scientific experiments, like the CMS at CERN, is expected to significantly increase over the coming decades.
  • The implementation of coprocessors, particularly GPUs, in data processing workflows can enhance performance and efficiency, especially for machine learning tasks.
  • The Services for Optimized Network Inference on Coprocessors (SONIC) approach allows for improved use of coprocessors, demonstrating successful integration and acceleration of workflows across various environments without sacrificing throughput.
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