JEM-EUSO is a mission to study ultrahigh-energy cosmic rays (UHECRs) by measuring the fluorescence light from giant air showers at the altitude of the International Space Station. In the tilted mode, JEM-EUSO will become very sensitive to the Čerenkov light from the earth skimming tau neutrinos at the energy range of 10eV. In this paper we will discuss high-energy tau neutrinos from nearby gamm...

The Rockefeller University Press J. Exp. Med. Vol. 208 No. 12 2343-2347 www.jem.org/cgi/doi/10.1084/jem.20112295 As detailed in the Appreciation piece written by Carol Moberg, Ralph’s discovery and investigation of DCs constituted an enormous contribution to immunology. However, Ralph’s influence extended far beyond the strictly scientific. Below, some of Ralph’s closest colleagues and friends ...

This study presents the pattern of exposure to uranium and other occupational pollutants known to be potentially carcinogenic, mutagenic or toxic and used at the main uranium conversion plant in France. For different uranium compounds specified according to their solubility and purity, and 16 other categories of pollutants: chemicals, fibres, vapours, dust, and heat a time- and plant-specific j...

We present the results of a 500 ksec observation of the Perseus cluster with INTEGRAL, in the aim of investigating the possible diffuse non-thermal component detected in a previous Chandra observation. In the 3-20 keV band with the JEM-X instrument, we detect the source with high significance and resolve it spatially. Above 20 keV with IBIS/ISGRI, we find that the source is point-like, and the ...

The international publishing traditions are inspiring. And similarly, as New England Journal of Medicine (USA) and Postgraduate Medical (UK) welcomed the newly created Canadian Surgery in 1957 1958, we welcome launch a new companion publication—the Endodontic Microsurgery (JEM)4—in 2022. JEM is launched an annual fully open access online-only peer-reviewed journal. Four co-chief editors, which ...

Joint Energy-based Model (JEM) of [11] shows that a standard softmax classifier can be reinterpreted as an energy-based model (EBM) for the joint distribution \(p(\boldsymbol{x}, y)\); resulting optimized to improve calibration, robustness and out-of-distribution detection, while generating samples rivaling quality recent GAN-based approaches. However, JEM exploits is inherently discriminative ...