Supplementary Code S1 contains selected non-sensitive analysis runners, contracts, manifests, gate definitions, figure source, and aggregate outputs. The EXP-67/68 runners, contracts, and aggregate outputs are included but were not replayed or re-executed during this package build. For EXP-68, stage1_q.csv records only...
Purpose This paper aims to seek to develop a digital twin (DT)–based framework for identifying systemic delivery risk in construction projects through latent performance–loss states. Conventional monitoring approaches rely primarily on observable indicators such as productivity or schedule deviation, which often reveal...
Joas Serugga· Construction Innovation· 0 citations
Pancreatic cancer is associated with high morbidity and mortality. Gemcitabine plus nab-paclitaxel (GA), along with FOLFIRINOX and NALIRIFOX, is a standard first-line treatment for advanced/metastatic pancreatic ductal adenocarcinoma (mPDAC). However, the standard GA schedule (days 1, 8, and 15 of a 28-day cycle)...
C. Hoyek, C. Eslinger, Angelo Pirozzi et al.· BMC Cancer· 0 citations
This poster was presented on the TRA Workshop "Great Data, Great Science" at the University of Bonn on 06 October 2026. --- Agricultural research increasingly depends on the integration, standardization, and sustainable reuse of heterogeneous research data. Data are generated across disciplines such as agroecology, bre...
Lucia Vedder, Julian Schneider, Gabriel Schneider· Zenodo (CERN European Organi...· 0 citations
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This poster was presented on the TRA Workshop "Great Data, Great Science" at the University of Bonn on 06 October 2026. --- Agricultural research increasingly depends on the integration, standardization, and sustainable reuse of heterogeneous research data. Data are generated across disciplines such as agroecology, bre...
Lucia Vedder, Julian Schneider, Gabriel Schneider· Zenodo (CERN European Organi...· 0 citations
Version v4. Language edit (Rubriq) merged into the manuscript: commas, spelling variants and wording-neutral substitutions only; no change to results or claims. A computational study of a phenomenological model. No experiment was performed and the model is not calibrated to any conductor. Prepared for submission to Sup...
Leon Sandler· Zenodo (CERN European Organi...· 0 citations
Version v3. Adds a subsection on experimental validation using fission-reactor irradiation (Section 4.5), softens two statements of the abstract, and removes a reference to separate work. A computational study of a phenomenological model. No experiment was performed and the model is not calibrated to any conductor. Pre...
Leon Sandler· Zenodo (CERN European Organi...· 0 citations
This poster was presented on the TRA Workshop "Great Data, Great Science" at the University of Bonn on 06 October 2026. --- In computational biology, the availability and careful handling of high-quality digital data are essential for obtaining reliable and biologically meaningful results. In silico analyses depend on...
Lucia Vedder, Heiko Schoof· Zenodo (CERN European Organi...· 0 citations
Sustainable development requires robust analytical tools to address complex socio-ecological challenges. Statistics, data science, and computing are increasingly applied, yet the literature remains fragmented across disciplines. A systematic literature review was conducted following PRISMA guidelines. Scopus was search...
Nur Jannah Tuasikal, Fendi A. Taib, Ananda Muhammad Arbick et al.· F1000Research· 1 citation
In this paper, we study how to perform statistical inference for quantile temporal difference learning (QTD) in distributional reinforcement learning. Assuming access to a generative model, we first establish functional central limit theorems for both synchronous and asynchronous QTD, which show that the averaged itera...
The repetition count that works best for a small language model may not remain best at a larger scale. We study this effect in pretraining with a finite target corpus mixed with generic data at a fixed target fraction. On Wikipedia-derived data and Proof-Pile-2, the ranking of measured repetition counts changes with mo...
Modern protein representation models support tasks such as enzyme design and drug discovery, but their reliance on static data such as sequence and native structure limits their ability to capture the conformational dynamics that drive protein function. We investigate whether persistent homology (PH) can provide descri...
Dominik Geng, Florian Graf, Martin Uray et al.· 0 citations
A machine-learning approach called CheMeleon provides a practical way to develop new drugs or other molecules with much less detailed, expensive experimentation.
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
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