ShinyTPs: Curate transformation products from text mining results

peer reviewedPlatform Presentation at SETAC Europe 2023, Dublin, 30 April - 4 May 2023 Presentation 3.12.T-02, EcoCen Room, 9:05 am Thursday 4 May

Социальная коммерция как один из видов онлайнового маркетинга

Материалы X Междунар. межвуз. науч.-техн. конф. студентов, магистрантов и аспирантов, Гомель, 29–30 апр. 2010 г

The Student Loan Bankruptcy Gap

Each year, a quarter of a million student loan debtors file for bankruptcy. Of those, fewer than three hundred discharge their educational debt. That is a success rate of just 0.1 percent. This chasm between success and failure is the titular “Student Loan Bankruptcy Gap,” and it is a phenomenon that is unprecedented in the law. Drawing upon an original dataset of nearly five hundred adversary proceedings, this Article examines three key facets of the Student Loan Bankruptcy Gap. First, it establishes the true breadth of the gap. Second, it explores why the gap has persisted for more than two decades and, in doing so, uncovers a creditor case-selection strategy designed to deter debtors from bringing legitimate claims. And third, it identifies solutions that have the potential to close the Student Loan Bankruptcy Gap and bring debt relief to millions of individuals

ShinyTPs: Curating Transformation Products from Text Mining Results.

peer reviewedTransformation product (TP) information is essential to accurately evaluate the hazards compounds pose to human health and the environment. However, information about TPs is often limited, and existing data is often not fully Findable, Accessible, Interoperable, and Reusable (FAIR). FAIRifying existing TP knowledge is a relatively easy path toward improving access to data for identification workflows and for machine-learning-based algorithms. ShinyTPs was developed to curate existing transformation information derived from text-mined data within the PubChem database. The application (available as an R package) visualizes the text-mined chemical names to facilitate the user validation of the automatically extracted reactions. ShinyTPs was applied to a case study using 436 tentatively identified compounds to prioritize TP retrieval. This resulted in the extraction of 645 reactions (associated with 496 compounds), of which 319 were not previously available in PubChem. The curated reactions were added to the PubChem Transformations library, which was used as a TP suspect list for identification of TPs using the open-source workflow patRoon. In total, 72 compounds from the library were tentatively identified, 18% of which were curated using ShinyTPs, showing that the app can help support TP identification in non-target analysis workflows.U-AGR-8049 - H2020 - ZeroPM (01/10/2021 - 30/09/2026) - SCHYMANSKI Emm

Dioxin2023 Plenary: Exploring Millions of PFAS with FAIR and Open Science

editorial reviewedPlenary presentation for Dioxin 2023 in Maastricht - Tuesday 12 September Exploring Millions of PFAS with FAIR and Open Science This presentation features a sound track created by Jamie Perera (slide 27) on "Our Chemical Past, Present and Future", which can be downloaded on Vimeo (video) or Soundcloud (sound only). Please leave feedback there if you enjoy it

Towards a Reliable and Rapid Automated Grading System in Facial Palsy Patients: Facial Palsy Surgery Meets Computer Science

Background: Reliable, time- and cost-effective, and clinician-friendly diagnostic tools are cornerstones in facial palsy (FP) patient management. Different automated FP grading systems have been developed but revealed persisting downsides such as insufficient accuracy and cost-intensive hardware. We aimed to overcome these barriers and programmed an automated grading system for FP patients utilizing the House and Brackmann scale (HBS). Methods: Image datasets of 86 patients seen at the Department of Plastic, Hand, and Reconstructive Surgery at the University Hospital Regensburg, Germany, between June 2017 and May 2021, were used to train the neural network and evaluate its accuracy. Nine facial poses per patient were analyzed by the algorithm. Results: The algorithm showed an accuracy of 100%. Oversampling did not result in altered outcomes, while the direct form displayed superior accuracy levels when compared to the modular classification form (n = 86; 100% vs. 99%). The Early Fusion technique was linked to improved accuracy outcomes in comparison to the Late Fusion and sequential method (n = 86; 100% vs. 96% vs. 97%). Conclusions: Our automated FP grading system combines high-level accuracy with cost- and time-effectiveness. Our algorithm may accelerate the grading process in FP patients and facilitate the FP surgeon’s workflow

Complement C4 Copy Number Variation is Linked to SSA/Ro and SSB/La Autoantibodies in Systemic Inflammatory Autoimmune Diseases

Objective Copy number variation of the C4 complement components, C4A and C4B, has been associated with systemic inflammatory autoimmune diseases. This study was undertaken to investigate whether C4 copy number variation is connected to the autoimmune repertoire in systemic lupus erythematosus (SLE), primary Sjögren's syndrome (SS), or myositis. Methods Using targeted DNA sequencing, we determined the copy number and genetic variants of C4 in 2,290 well-characterized Scandinavian patients with SLE, primary SS, or myositis and 1,251 healthy controls. Results A prominent relationship was observed between C4A copy number and the presence of SSA/SSB autoantibodies, which was shared between the 3 diseases. The strongest association was detected in patients with autoantibodies against both SSA and SSB and 0 C4A copies when compared to healthy controls (odds ratio [OR] 18.0 [95% confidence interval (95% CI) 10.2–33.3]), whereas a weaker association was seen in patients without SSA/SSB autoantibodies (OR 3.1 [95% CI 1.7–5.5]). The copy number of C4 correlated positively with C4 plasma levels. Further, a common loss-of-function variant in C4A leading to reduced plasma C4 was more prevalent in SLE patients with a low copy number of C4A. Functionally, we showed that absence of C4A reduced the individuals’ capacity to deposit C4b on immune complexes. Conclusion We show that a low C4A copy number is more strongly associated with the autoantibody repertoire than with the clinically defined disease entities. These findings may have implications for understanding the etiopathogenetic mechanisms of systemic inflammatory autoimmune diseases and for patient stratification when taking the genetic profile into account.publishedVersio