Exploring the Nuclear Chart via Precision Mass Spectrometry with the TITAN MR-TOF MS by Annabelle Czihaly, Soenke Beck, Julian Bergmann, Callum L. Brown, Thomas Brunner, Timo Dickel, Jens Dilling, Eleanor Dunling, Jake Flowerdew, Danny Fusco, Leigh Graham, Zach Hockenbery, Chris Izzo, Andrew Jacobs, Brian Kootte, Yang Lan, Stephan Malbrunot-Ettenauer, Fernando Maldonado Millán, Ali Mollaebrahimi, Erich Leistenschneider, Eleni Marina Lykiardopoulou, Ish Mukul, Stefan F. Paul, Wolfgang R. Plaß, Moritz Pascal Reiter, Christoph Scheidenberger, James L. Tracy, A. A. Kwiatkowski

“…With a relative precision of the order 10⁻⁷, we demonstrate why the TITAN MR-TOF MS is the tool of choice for precision mass surveys for nuclear structure and astrophysics. The capabilities of the device are showcased in this work, including new mass measurements of short-lived tin isotopes (^104–107Sn) approaching the proton dripline as well as ⁸⁹Zr, ⁹⁰Y, and ⁹¹Y. …”
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SP140L, an Evolutionarily Recent Member of the SP100 Family, Is an Autoantigen in Primary Biliary Cirrhosis by Mario Saare, Uku Hämarik, Rainis Venta, Marina Panarina, Chiara Zucchelli, Maire Pihlap, Anu Remm, Kai Kisand, Urve Toots, Kaidi Möll, Riina Salupere, Giovanna Musco, Raivo Uibo, Pärt Peterson

“…Subcellularly, SP140L colocalizes with SP100 and SP140 in nuclear structures that are devoid of SP110, PML, or p300 proteins. …”
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Instance-level semantic segmentation of nuclei based on multimodal structure encoding by Bo Guan, Guangdi Chu, Ziying Wang, Jianmin Li, Bo Yi

“…The framework effectively captures complex nuclear structures and global distribution features, leading to enhanced performance in histopathological image analysis. …”
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Extreme value analysis of meteorological parameters observed during the period 1994–2022 at Kakrapar Gujarat site by D. P. Nankar, Akhaya Kumar Patra, I. V. Saradhi, A. Vinod Kumar

“…Extreme meteorological parameters plays an important role, for the selection of any civil structure at nuclear site or to design important nuclear structures to withstand design basis values of meteorological extremes that are likely to occur during the lifetime of these structures. …”
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Integrated Bioinformatics Identifies FREM1 as a Diagnostic Gene Signature for Heart Failure by Chenyang Jiang, Weidong Jiang

“…Three machine learning methods assisted in determining the potential characteristic signals Fras1-related extracellular matrix 1 (FREM1) and meiosis-specific nuclear structural 1 (MNS1). Validation of external datasets confirms that FREM1 is a diagnostic gene signal for heart failure. …”
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