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We study the radio variability of galaxies with and without sources of hydroxyl (OH) megamaser radiation based on the continuum radio measurements conducted in 2019-2022 with the radio telescope RATAN-600 at frequencies of 2.3, 4.7, 8.2, and 11.2 GHz. Presumably, radio continuum emission significantly affects the megamaser radiation brightness, therefore, such a characteristic as the variability of radio emission is important for determining the OHM galaxies parameters. With additional data from the literature, the parameters of radio variability on a time scale up to 30 years were estimated. The median values of the variability index for 48 OHM galaxies are in the range $V_{S}=0.08$-$0.17$, and for 30 galaxies without OH emission they are $V_{S}=0.08$-$0.28$. For some individual galaxies in both samples, flux density variations reach 30-50%. These sources either are commonly associated with AGNs or reveal active star formation. Generally, the variability of luminous infrared galaxies with and without OH megamaser emission is moderate and of the same order of magnitude on long time scales. From estimating the spectral energy distribution parameters in a broad frequency range (from MHz to THz), we determined the spectral index below 50 GHz and the color temperatures of dust components for megamaser and control sample galaxies. At a level of $ρ, 15 pages, 10 Figures, and 6 Tables

Supplemental material, sj-docx-1-jdr-10.1177_00220345231151685 for Tertiary Lymphoid Structure Raises Survival and Immunotherapy in HPV− HNSCC by H. Li, S.-W. Zhu, J.-J. Zhou, D.-R. Chen, J. Liu, Z.-Z. Wu, W.-Y. Wang, M.-J. Zhang and Z.-J. Sun in Journal of Dental Research

In voice conversion, frame-level mean and variance normal- ization is typically used for fundamental frequency (F0) trans- formation, which is text-independent and requires no parallel training data. Some advanced methods transform pitch con- tours instead, but require either parallel training data or syllabic annotations. We propose a method which retains the simplic- ity and text-independence of the frame-level conversion while yielding high-quality conversion. We achieve these goals by (1) introducing a text-independent tri-frame alignment method, (2) including delta features of F0 into Gaussian mixture model (GMM) conversion and (3) reducing the well-known GMM oversmoothing effect by F0 histogram equalization. Our ob- jective and subjective experiments on the CMU Arctic corpus indicate improvements over both the mean/variance normaliza- tion and the baseline GMM conversion. Index Terms: Voice conversion, F0 transformation, GMM, his- togram equalization, text-independence