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Prodotti recenti

Digital justice and artificial intelligence

Sudden Disruptions of Large Language Model-Based Systems: Lessons Learned

In this article, we examine the technical challenges of restoring large language model-based systems after infrastructure-level outages, focusing on issues such as hardware–software compatibility, data transfer constraints, and the loss of optimizer and inference state.

Splenic FDG PET uptake and CT volume as prognostic biomarkers in diffuse large B cell lymphoma

Objectives: To evaluate whether baseline splenic ^18F-FDG PET uptake and CT-derived spleen volume predict early progression (≤ 36 months) and progression-free survival (PFS) in diffuse large B cell lymphoma (DLBCL), and whether they interact. Materials and methods: Retrospective cohort of adults with newly diagnosed DLBCL undergoing baseline ^18F-FDG PET/CT and CT. Splenic PET positivity was defined visually (uptake exceeding hepatic background); spleen volume was measured semi-automatic...

L-histidine in nontronite: stability under Martian-like UV irradiation to assist life detection on Mars

Detection of organic molecules on Mars is challenging due to a variety of degradation processes occurring at the Martian surface, including UV irradiation. Nevertheless, the NASA’s Curiosity rover found evidence of organic molecules in clays, suggesting that these minerals might be particularly suitable to preserve organics on Mars. In this work, the photostability of L-histidine adsorbed at different pHs on nontronite under Martian-like UV irradiation was investigated in order to assess the ...

Deep-learning based quantitative evaluation of postoperative atelectasis following right upper lobectomy

Existing methods of grading atelectasis are typically subjective and not scalable. We aimed to develop an automated, deep learning–based framework to quantify and grade postoperative atelectasis. We retrospectively included all patients who underwent RULobectomy from 2008 to 2023. We trained three nnU-Net v2 segmentation models for preoperative and postoperative lobes and airways with volumetric quantification of the right middle lobe (RML), right lower lobe (RLL), and total lung volume. Atel...

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