Our Work

This comprises the data and materials used for the study by Khan et al. 2026 (ongoing) entitled "Adverse drug withdrawal event signals in FAERS and Eudravigilance databases: a stratified dispropo…

This comprises the data and materials used for the study by Khan et al. 2026 (ongoing) entitled "Adverse drug withdrawal event signals in FAERS and Eudravigilance databases: a stratified disproportionality analysis study". # Explanation This repository contains the Stata, R scripts and supplementary data used for the disproportionality analysis of adverse drug withdrawal events (ADWEs) reported in the US Food and Drug Administration Adverse Event Reporting System (FDA-FAERS) and European Medicines Agency Eudravigilance (EMA-EV) databases. The scripts include:  # FDA-FAERS_Disprop_DataPrep (.do and .txt) "Scripts for merging datasets, deduplication, drug variable cleaning, and preparation of analysis datasets for disproportionality analysis." # FDA-FAERS_Stratified_Disproportionality (.R and .txt) "Scripts for drug-level, sex-stratified, age-stratified, time-period, intra-class (between drug classes), and inter-class (between drugs within drug classes) disproportionality analyses using FDA-FAERS data." # EMA-EV_Stratified_Disproportionality (.R and .txt) "Scripts for drug-level, sex-stratified, age-stratified, time-period, intra-class (between drug classes), and inter-class (between drugs within drug classes) disproportionality analyses using EMA-EV data." # The supplementary files included in this dataset are: *Supplementary file 1 (Tables S1.1–S1.4)*: Details of the different relevant PTs, non-relevant PTs, and key variables assessed in the FDA-FAERS and EMA-EudraVigilance database.*Supplementary Excel file 1.1*: FDA drug-class mapping.*Supplementary Excel file 1.2:* EMA drug-class mapping.*Supplementary file 2.1:* FDA drug-level disproportionality analysis.*Supplementary file 2.2:* EMA drug-level disproportionality analysis.*Supplementary file 3.1:* FDA results by interclass.*Supplementary file 3.2:* EMA results by interclass.*Supplementary file 4.1:* FDA results by intraclass.*Supplementary file 4.2:* EMA results by intraclass.*Supplementary file 5.1:* FDA results by age.*Supplementary file 5.2:* EMA results by age.*Supplementary file 6.1:* FDA results by sex.*Supplementary file 6.2:* EMA results by sex.*Supplementary file 7:* EMA results by country.*Supplementary file 8.1:* FDA results by time period.*Supplementary file 8.2:* EMA results by time period. # Related work The data preparation workflow and descriptive analyses supporting this work are available in the related Zenodo repository: https://doi.org/10.5281/zenodo.18155023 *Note:  These analysis scripts are part of Work Package 2 (Part 2) of the HORIZON EUROPE Marie Skłodowska-Curie Actions project "Harnessing Evidence on Adverse Drug Withdrawal Events following Deprescribing through the Pharmacovigilance System (HEAD-P)". # Project description The project description can be found here: https://cordis.europa.eu/project/id/101149577 # Project Aim The aim of HEAD-P is to establish the current evidence base on adverse drug withdrawal events (ADWEs) and explore how this can be enhanced via the pharmacovigilance system. This research project focus on the establishing the current extent of evidence for ADWEs following deprescribing from various sources, including published literature and pharmacovigilance spontaneous reporting systems, and evaluating how the generation of evidence on ADWEs can be fostered, to ultimately inform deprescribing decisions in practice. This research project involves innovative approaches, applying and combining existing and recent methods in new ways (evidence synthesis, data analysis and data mining, and qualitative approaches), comprehensively assessing pharmacovigilance reporting data across all drug classes and taking a multi-stakeholder and multi-faceted perspective to stimulate the generation of ADWE evidence. # Research Objectives and Work Packages *WP1/RO1*  To assess evidence on the rate of occurrence and characteristics of ADWEs. Registered Protocol: https://osf.io/fmy5t/overview *WP2/RO2* To analyse pharmacovigilance data in Europe and the United States of America to examine the reporting of adverse events relating to ADWEs of all drugs. Registered Protocol: https://osf.io/utcwb/overview *WP3/RO3* To identify all recommendations relating to monitoring, detection, and reporting of ADWEs included in guidance and review the content of these recommendations. Registered Protocol: https://osf.io/pbm83/overview *WP4/RO4* To investigate policymaker perspectives on the integration of ADWE reporting in the pharmacovigilance system. Registered Protocol: https://osf.io/r6jnv/overview Funding and disclaimer This research is funded by the European Union through the Marie Skłodowska-Curie Actions (MSCA) programme (Project acronym: HEAD-P; Project number: 101149577) https://cordis.europa.eu/project/id/101149577.  Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

This paper investigates the spectral properties and eigenvalues of a matrix consisting of integral operators. Matrix-valued integral operators arise naturally in functional analysis, mathematical phys…

This paper investigates the spectral properties and eigenvalues of a matrix consisting of integral operators. Matrix-valued integral operators arise naturally in functional analysis, mathematical physics, differential and integral equations, and related mathematical models. The main purpose of the study is to analyze the eigenvalue problem for a matrix of integral operators and to establish the conditions under which nontrivial eigenfunctions exist. Particular attention is paid to the structure of the operator matrix, the associated system of integral equations, and the compactness properties of its components.

Inputs used in the techno-economic analysis of several floating wind farms for the IDEA-IRL project. The excel sheet includes CapEx coefficients, installation, and operation and maintenance (O&M) …

Inputs used in the techno-economic analysis of several floating wind farms for the IDEA-IRL project. The excel sheet includes CapEx coefficients, installation, and operation and maintenance (O&M) assumptions.  The corresponding report (IDEA-IRL WP2 D2B) will be linked when published. More information about the project can be found at: https://www.marei.ie/project/idea-irl-integrated-design-floating-wind/, including all of the published deliverables from the project so far.

Introduction: Implant-associated infections after femur surgery are severe, and early diagnosis is challenging due to overlapping postoperative inflammation. While CRP and albumin are commonly used ma…

Introduction: Implant-associated infections after femur surgery are severe, and early diagnosis is challenging due to overlapping postoperative inflammation. While CRP and albumin are commonly used markers, their combined ratio may offer better insight into host reserve and inflammatory burden. This study aims to assess the preoperative albumin-to-C-reactive protein ratio for detecting early acute infection following femur implant insertion. Material and methods: This descriptive cross-sectional study at Shohada Hospital, Tabriz, enrolled 85 patients undergoing femoral implant surgery using convenience sampling. Preoperative data on demographics, comorbidities, surgical details, and laboratory markers (including serum albumin and CRP to calculate the Alb/CRP ratio) were collected to assess early acute postoperative infection. Results: Preoperative albumin-to-C-reactive protein ratio was significantly suppressed in infected patients compared with non-infected controls [median 0.22 (IQR:0.15-0.30) vs. 0.50 (IQR:0.36-0.68); p<0.001]. Receiver operating characteristic analysis established superior discriminatory performance for Alb/CRP (AUC=0.988; 95% CI:0.82-0.98; cutoff≤0.34; sensitivity 100.0%, specificity 95.6%). Multivariable logistic regression identified Alb/CRP≤0.34 as an independent predictor of early acute infection (aOR=9.10; 95% CI:3.20-25.80; p<0.001) alongside operative duration ≥ 120 minutes (aOR=2.45; p=0.028). Conclusion: Preoperative albumin-to-C-reactive protein ratio serves as an outstanding, independent biomarker for early acute infection risk stratification following femur implant placement.

U.S. Measles Data Repository duplicate. See https://github.com/CSSEGISandData/measles_data  Dataset licenced by Johns Hopkins University on behalf of the JHU Measles Tracking Team.

The state initiative for research data management (RDM) in Baden-Württemberg bwFDM [1] is advancing RDM support on the state level by implementing a new helpdesk system that will provide faster, …

The state initiative for research data management (RDM) in Baden-Württemberg bwFDM [1] is advancing RDM support on the state level by implementing a new helpdesk system that will provide faster, more efficient support for researchers and staff at research institutions in Baden-Württemberg. Furthermore, the RDM community in Baden-Württemberg shall be actively involved in this process. The bwFDM-Helpdesk aims primarily at academics and support staff working at research institutions that have no or insufficient in-house RDM support. Beyond that, the helpdesk is available to RDM support teams at universities who need assistance with questions beyond their own expertise or who seek state-level support for projects that align with the goals and objectives of Baden-Württemberg’s research data strategy and its implementation concept, both developed with bwFDM’s support. The helpdesk’s previous system for handling enquiries was email-based and any information collected for the responses was stored via text documents in the bwFDM cloud. However, this approach was not scalable and the knowledge was not stored in a sustainable or easily searchable manner. To mend these limitations, we implemented a ticket system and knowledge base. The active implementation into our workflow is currently an ongoing process. Both of these elements will enable us to cater to academics and support staff from research institutions in Baden-Württemberg in a more advanced form, allowing us to scale our support and making it more sustainable. In order to pool the existing expertise within the RDM community in Baden-Württemberg, we are establishing a pool of experts. A survey is currently underway across the state, inviting people to join this expert pool. For example, anyone with expertise in specific RDM subject areas can sign up, so that when enquiries relating to these areas arise, we can contact the relevant experts from the pool and thus efficiently access expert knowledge. Moreover, we are leveraging the joint support portal [2] for research-related state services in Baden-Württemberg, hosted and technically supported at Karlsruhe Institute of Technology (KIT), making use of its centralized helpdesk platform currently also used by services like bwHPC, bwSync&Share and bwCloud. This portal has been migrated to the open-source software Zammad, which is also used by the EOSC-helpdesk and several NFDI consortia (e.g., NFDI4Chem, NFDI4Objects, GHGA). As they are based on the same software, it may be possible to connect the different helpdesks via technical interfaces, if this proves to be worthwhile in the future. By utilizing the joint support portal, bwFDM can offer general RDM-related consultations as a state service, which facilitates collaborations with other research-related state services. Along these lines, tickets can easily be processed in a joint fashion. Furthermore, the system offers an integrated knowledge base that can be built up and utilised by all participating services. Additionally, the portal’s connection to bwIDM [3] means that future RDM support personnel at state level, such as data stewards at other research institutions or potential future stade-wide data stewards can be involved on a low-threshold basis.

Idealized, data-free model of how storage exchange between conduits and matrix blocks shapes tidal propagation in coastal aquifers, with closed-form bounds on the phase-attenuation ratio, a derived fr…

Idealized, data-free model of how storage exchange between conduits and matrix blocks shapes tidal propagation in coastal aquifers, with closed-form bounds on the phase-attenuation ratio, a derived fractional-order limit, and verified numerical solvers.