Vehicle Pose Estimation Method Based on Maximum Correntropy Square Root Unscented Kalman Filter by Shuyu Liu, Ying Guo

“…To improve the performance of the Square Root Unscented Kalman Filter SLAM (SRUKF-SLAM), this paper proposes the Maximum Correntropy Square Root Unscented Kalman Filter SLAM (MCSRUKF-SLAM) algorithm. The method first generates an estimate of the predicted state and covariance matrix through the Unscented Transform (UT), and then obtains the square root matrix of the covariance through Cholesky and QR decomposition to replace the original covariance, effectively preserving the positive definiteness of the covariance and improving the accuracy of the algorithm. …”
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Assessment of bone-implant interface image quality for in-vivo acetabular cup implants using photon-counting detector CT: Impact of tin pre-filtration by Ronald Booij, Pauline de Klerk, Erik Tesselaar, Mischa Woisetschläger, Anne Brandts, Mariëlle Olsthoorn, Jakob van Oldenrijk, Koen Bos, Jörg Schilcher, Edwin H.G. Oei

“…Purpose: To assess the image quality of the bone-implant interface of acetabular cup implants using photon-counting detector (PCD) CT with and without tin pre-filtration in a clinical setting. Methods and materials: Twenty-four patients underwent PCD-CT imaging of their total hip replacement (THR). …”
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Review of Post-registration Changes in the Life Cycle of Сholera Bivalent Chemical Vaccine (Review) by I. V. Shulgina, O. A. Lobovikova, O. A. Voloh, O. V. Gromova, A. K. Nikiforov, A. V. Komissarov, V. A. Demchenko, A. S. Fes’kova, S. S. Galetova, N. P. Mironova, V. I. Pavlova

“…The following changes related to the optimization of methods for controlling the limit content of impurities of substances used at different stages of antigen production. …”
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Patient-reported outcomes for menopause management interventions study: PROMMIS by Mukherjee Annice, Anne Armstrong, Lucy Whitaker, Jackie Maybin, Rebecca Reynolds, Paula Briggs

“…There is an unmet need in menopause management and clinical outcome data, and the case for menopause research and real-world data collection is now widely recognised.1–3 Therefore, there is a novel research opportunity to develop an innovative, secure online, real-world data collection platform (PROMMIS) to collect data on menopause management outcomes. Materials and methods: The SfE will host this real-world data registry, with unrestricted educational grant funding support. …”
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Sequential learning on a tensor network Born machine with trainable token embedding by Wanda Hou, Miao Li, Yi-Zhuang You

“…Empirical results on RNA data demonstrate that the proposed method significantly reduces negative log-likelihood compared to one-hot embeddings, with higher physical dimensions further enhancing single-site probabilities and multi-site correlations. …”
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