Kronstadt Identifi cation via Spatial Allusions of the Past by D. V. Basova

“…As a matter of fact, Kronstadt is a unique space: geographically situated on the watershed between Russia and Europe, it mostly preserves “internal” orientation — in other words, aimed at its insulation, than external. …”
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Giovanni Boldini e la partecipazione degli artisti francesi alla prima Biennale di Venezia by Leo Lecci

“…By means of several documents, mostly preserved in the Archives of the Biennale (ASAC), the essay Giovanni Boldini and the French artists’ participation in the first Venice Biennale focus on the role played by the Italian artist Giovanni Boldini, born in Ferrara but resident in Paris for over twenty years, in the selection of the artists for the French section of that exhibition. …”

Changes in chemical composition, volatile compound, and bioactive compounds retention in shallots (Allium ascalonicum L.) under different drying methods by Jiranan Ratseewo, Theeraphan Chumroenphat, Hua Li, Sirithon Siriamornpun

“…Eucalyptol was the predominant volatile component in fresh shallot and most preserved by freeze drying. The results underscore the significance of choosing suitable drying methods to preserve shallot bioactive compounds and antioxidant properties.…”
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Influence of resonant plasmonic nanoparticles on optically accessing the valley degree of freedom in 2D semiconductors by Tobias Bucher, Zlata Fedorova, Mostafa Abasifard, Rajeshkumar Mupparapu, Matthias J. Wurdack, Emad Najafidehaghani, Ziyang Gan, Heiko Knopf, Antony George, Falk Eilenberger, Thomas Pertsch, Andrey Turchanin, Isabelle Staude

“…Contrary to the simple intuition that a centrosymmetric nanoresonator mostly preserves the degree of circular polarization, our cryogenic experiments reveal significant depolarization of the photoluminescence scattered by the nanoparticle. …”
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Cross-Dataset Head-Related Transfer Function Harmonization Based on Perceptually Relevant Loss Function by Jiale Zhao, Dingding Yao, Junfeng Li

“…Experimental results based on eight datasets demonstrate that the proposed approach can effectively minimize distributional disparities between datasets while mostly preserving localization performance. The classification accuracy for harmonized HRTFs between different datasets is reduced to as low as 31%, indicating a significant reduction in cross-dataset discrepancies. …”
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