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NdB6O8(OH)5·H3BO3, triclinic, P 1‾ $\overline{1}$ (no. 2), a = 6.8304(7) Å, b = 7.2004(5) Å, c = 12.707(2) Å, α = 95.479(5)°, β = 98.652(6)°, γ = 101.758(5)°, V = 599.7(2) Å3, Z = 2, R gt(F) = 0.0378, wR ref(F 2) = 0.0826, T = 289(1) K.

Abstract Estimating time delays in event-based time-series is a crucial task in signal processing as it affects the data quality and is a prerequisite for many subsequent analyses. In particular, data acquired from wearable devices often suffer from a low timestamp precision or clock drift. Current state-of-the-art methods such as Pearson Cross-Correlation are sensitive to typical data quality issues, e.g. misdetected events, and Dynamic Time Warping is computationally expensive. To overcome these limitations, we propose Nearest Advocate, a novel event-based time delay estimation method for multi-sensor time-series data synchronisation. We evaluate its performance using three independent datasets acquired from wearable sensor systems, demonstrating its superior precision, particularly for short, noisy time-series with missing events. Additionally, we introduce a sparse variant that balances precision and runtime. Finally, we demonstrate how Nearest Advocate can be used to solve the problem of linear as well as non-linear clock drifts. Thus, Nearest Advocate offers a promising opportunity for time delay estimation and post-hoc synchronization for challenging datasets across various applications.

Summary: Background: Studies on DNA methylation following bariatric surgery have primarily focused on blood cells, while it is unclear to which extend it may reflect DNA methylation profiles in specific metabolically relevant organs such as adipose tissue. Here, we investigated whether adipose tissue depots specific methylation changes after bariatric surgery are mirrored in blood. Methods: Using Illumina 850K EPIC technology, we analysed genome-wide DNA methylation in paired blood, subcutaneous and omental visceral AT (SAT/OVAT) samples from nine individuals (N = 6 female) with severe obesity pre- and post-surgery. Findings: The numbers and effect sizes of differentially methylated regions (DMRs) post-bariatric surgery were more pronounced in AT (SAT: 12,865 DMRs from −11.5 to 10.8%; OVAT: 14,632 DMRs from −13.7 to 12.8%) than in blood (9267 DMRs from −8.8 to 7.7%). Cross-tissue DMRs implicated immune-related genes. Among them, 49 regions could be validated with similar methylation changes in blood from independent individuals. Fourteen DMRs correlated with differentially expressed genes in AT post bariatric surgery, including downregulation of PIK3AP1 in both SAT and OVAT. DNA methylation age acceleration was significantly higher in AT compared to blood, but remained unaffected after surgery. Interpretation: Concurrent methylation pattern changes in blood and AT, particularly in immune-related genes, suggest blood DNA methylation mirrors AT's inflammatory state post-bariatric surgery. Funding: The funding sources are listed in the Acknowledgments section.

NdB3.6O7, orthorhombic, Pmn21 (no. 31), a = 10.4169(4) Å, b = 4.4175(2) Å, c = 4.2566(2) Å, V = 195.88(2) Å3, Z = 2, R gt(F) = 0.0179, wR ref(F 2) = 0.0405, T = 153(1) K.

Introduction: Electronic Bluetooth scales (e-scales) may be useful for remote weight assessment. This study analyzed predictors of engagement with e-scales and feasibility for remote weight assessment. Method: Due to COVID-19 restrictions, participants (n = 150, 100% African American, 79% female, average age 48.2 ± 10.6 years) in an ongoing trial were invited to receive an e-scale. Participants had 1 month to complete a weigh-in. Email, text, and phone call reminders were sent. Data were analyzed using descriptive approaches and logistic regression. Results: Seventy-five participants (50% of sample) elected to receive an e-scale. Older participants (t = -2.01, p = 0.05) and a greater proportion of females (X[superscript 2] = 7.8, p < 0.01) signed up to receive an e-scale. An average of 2.6 ± 1.3 reminders was required. Most participants who received an e-scale completed a weigh-in (n = 70). Discussion: Half the sample elected to receive an e-scale. Strategies to increase willingness among men and younger adults to sign up to receive an e-scale are needed.

Dissipative phase transitions are characteristic features in open quantum systems. Key signatures are the dynamical switching between different states in the vicinity of the phase transition and the appearance of hysteresis. Here, we experimentally study dynamic sweeps across a first order dissipative phase transition in a multi-mode driven-dissipative system. In contrast to previous studies, we perform sweeps of the dissipation strength instead of the driving strength. We extract exponents for the scaling of the hysteresis area in dependence of the sweep time and study the $g^{(2)}(0)$ correlations, which show non-trivial behavior. By changing the temperature of the system we investigate the importance of coherently pumping the system. We compare our results to numerical calculations done for a single mode variant of the system, and find surprisingly good agreement. Furthermore, we identify and discuss the differences between a scan of the dissipation strength and a scan of the driving strength.

Abstract Circular RNAs (circRNAs) are a regulatory RNA class. While cancer-driving functions have been identified for single circRNAs, how they modulate gene expression in cancer is not well understood. We investigate circRNA expression in the pediatric malignancy, neuroblastoma, through deep whole-transcriptome sequencing in 104 primary neuroblastomas covering all risk groups. We demonstrate that MYCN amplification, which defines a subset of high-risk cases, causes globally suppressed circRNA biogenesis directly dependent on the DHX9 RNA helicase. We detect similar mechanisms in shaping circRNA expression in the pediatric cancer medulloblastoma implying a general MYCN effect. Comparisons to other cancers identify 25 circRNAs that are specifically upregulated in neuroblastoma, including circARID1A. Transcribed from the ARID1A tumor suppressor gene, circARID1A promotes cell growth and survival, mediated by direct interaction with the KHSRP RNA-binding protein. Our study highlights the importance of MYCN regulating circRNAs in cancer and identifies molecular mechanisms, which explain their contribution to neuroblastoma pathogenesis.