111 research outputs found
Bilinear noise subtraction at the GEO 600 observatory
We develop a scheme to subtract off bilinear noise from the gravitational wave strain data and demonstrate it at the GEO 600 observatory. Modulations caused by test mass misalignments on longitudinal control signals are observed to have a broadband effect on the mid-frequency detector sensitivity ranging from 50 Hz to 500 Hz. We estimate this bilinear coupling by making use of narrow-band signal injections that are already in place for noise projection purposes. A coherent bilinear signal is constructed by a two-stage system identification process where the involved couplings are approximated in terms of stable rational functions. The time-domain filtering efficiency is observed to depend upon the system identification process especially when the involved transfer functions cover a large dynamic range and have multiple resonant features. We improve upon the existing filter design techniques by employing a Bayesian adaptive directed search strategy that optimizes across the several key parameters that affect the accuracy of the estimated model. The resulting post-offline subtraction leads to a suppression of modulation side-bands around the calibration lines along with a broadband reduction of the mid-frequency noise floor. The filter coefficients are updated periodically to account for any non-stationarities that can arise within the coupling. The observed increase in the astrophysical range and a reduction in the occurrence of non-astrophysical transients suggest that the above method is a viable data cleaning technique for current and future gravitational wave observatories
First demonstration of 6 dB quantum noise reduction in a kilometer scale gravitational wave observatory
Photon shot noise, arising from the quantum-mechanical nature of the light,
currently limits the sensitivity of all the gravitational wave observatories at
frequencies above one kilohertz. We report a successful application of squeezed
vacuum states of light at the GEO\,600 observatory and demonstrate for the
first time a reduction of quantum noise up to dB in a
kilometer-scale interferometer. This is equivalent at high frequencies to
increasing the laser power circulating in the interferometer by a factor of
four. Achieving this milestone, a key goal for the upgrades of the advanced
detectors, required a better understanding of the noise sources and losses, and
implementation of robust control schemes to mitigate their contributions. In
particular, we address the optical losses from beam propagation, phase noise
from the squeezing ellipse, and backscattered light from the squeezed light
source. The expertise gained from this work carried out at GEO 600 provides
insight towards the implementation of 10 dB of squeezing envisioned for
third-generation gravitational wave detectors
Wie selektiv soll die Fischerei sein? Experten hinterfragen das Dogma, dass sich eine nachhaltige Fischerei auf lukrative Arten fokussieren und Beifang vermeiden soll
A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing
Single-cell RNA and ATAC sequencing technologies enable the examination of gene expression and chromatin accessibility in individual cells, providing insights into cellular phenotypes. In cancer research, it is important to consistently analyze these states within an evolutionary context on genetic clones. Here we present CONGAS+, a Bayesian model to map single-cell RNA and ATAC profiles onto the latent space of copy number clones. CONGAS+ clusters cells into tumour subclones with similar ploidy, rendering straightforward to compare their expression and chromatin profiles. The framework, implemented on GPU and tested on real and simulated data, scales to analyse seamlessly thousands of cells, demonstrating better performance than single-molecule models, and supporting new multi-omics assays. In prostate cancer, lymphoma and basal cell carcinoma, CONGAS+ successfully identifies complex subclonal architectures while providing a coherent mapping between ATAC and RNA, facilitating the study of genotype-phenotype maps and their connection to genomic instability
Exploring radiomic features of lateral cerebral ventricles in postmortem CT for postmortem interval estimation
The aim of this study is to investigate the potential of radiomic features extracted from postmortem computed tomography (PMCT) scans of the lateral cerebral ventricles (LCVs) to provide information on the time since death, or postmortem interval (PMI), a critical aspect of forensic medicine. Periodic PMCT scans, referred to as “sequential scans”, were obtained from twelve corpses with known times of death, ranging from 5.5 to 273 h postmortem. Radiomics features were then extracted from the LCVs, and a mixed-effect model, specifically designed for sequential data, was employed to assess the association between feature values and PMI. Four model variants were fitted to the data to identify the best functional form to explain the relationship between the variables. Significant associations were observed for features, the most significant being the median Hounsfield Units (HU) within the LCVs (p < 9.47 × 10−9), LCVs surface area (p < 4.69 × 10−6), L-major axis (p < 2.17 × 10−5), L-minor axis (p < 1.30 × 10−4), and HU entropy (p < 4.16 × 10−4). Our findings align with previous studies, supporting a logarithmic model for PMI-related changes in LCV volume and mean HU intensity value. This study highlights the potential of PMCT-based radiomics as source of complementary information that could be integrated into existing methods for PMI estimation. Our results support the application of a quantitative imaging approach in forensic investigations
Computational validation of clonal and subclonal copy number alterations from bulk tumor sequencing using CNAqc
Copy number alterations (CNAs) are among the most important genetic events in cancer, but their detection from sequencing data is challenging because of unknown sample purity, tumor ploidy, and general intra-tumor heterogeneity. Here, we present CNAqc, an evolution-inspired method to perform the computational validation of clonal and subclonal CNAs detected from bulk DNA sequencing. CNAqc is validated using single-cell data and simulations, is applied to over 4000 TCGA and PCAWG samples, and is incorporated into the validation process for the clinically accredited bioinformatics pipeline at Genomics England. CNAqc is designed to support automated quality control procedures for tumor somatic data validation
Postmortem findings of organ damage in novel psychoactive substances users: a comprehensive review
© 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).INTRODUCTION: Despite the rising number of NPS-related deaths, comprehensive data on their prevalence, identification, and associated organ damage remain scarce. MATERIALS AND METHODS: A literature search was conducted. Predefined inclusion and exclusion criteria were applied, resulting in the identification of 197 articles. RESULTS: We identified 446 cases of NPS-related deaths, involving a total of 176 different substances. Synthetic opioids were the most prevalent class (34%), followed by synthetic cannabinoids (22%) and cathinones (21%). Co-ingestion of NPS with other substances occurred in 77% of cases. Macroscopic findings varied across organs, with congestion and edema most observed in the brain (23%) and lung (56%), respectively. DISCUSSION: The existing literature lacks comprehensive descriptions of organs subjected to autopsy and histological examination in NPS-positive subjects. Despite this limitation, our findings underscore the prominence of lung pathology. Moreover, the prevalence of normal organs in cases of acute intoxication is a significant observation. We advocate for future research to provide more detailed insights to enhance our understanding of the multifaceted landscape of NPS-related deaths.Peer reviewe
ZICOSUL E A PARADIPLOMACIA NAS FRONTEIRAS DA AMÉRICA DO SUL
Criada em 1997, a ZICOSUL (Zona de Integração do Centro-Oeste da América do Sul) constitui uma iniciativa em prol do desenvolvimento regional do subcontinente sul-americano. Composta por governos regionais dos países da região, no Brasil cinco estados fazem parte da Organização. Passadas duas décadas do início da iniciativa a mesma é muito pouco conhecida e difundida na mídia. Nesse sentido, o presente artigo tem o objetivo de analisar a ZICOSUL no âmbito da paradiplomacia em zonas de fronteira do Centro Oeste da América do Sul, área chave para a integração regional do subcontinente. O artigo traz ainda uma análise da paradiplomacia desenvolvida no estado de Mato Grosso do Sul. Trata-se de uma pesquisa qualitativa, pautada em análise bibliográfica e documental, sob a ótica das Relações Internacionais e do Desenvolvimento Regional, enriquecida com cartografia temática elaborada pelos autores
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