Machine Learning-Based Early Prediction of Lower Extremity Deep Vein Thrombosis in the ICU: A Multicenter Study. [PDF]
Li Y, Xu L, Chen Y.
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USe3 is introduced as an actinide van der Waals semiconductor that mirrors the quasi‐one‐dimensional physics of transition‐metal trichalcogenides. Polarization‐resolved Raman spectroscopy on exfoliated flakes maps strong in‐plane phonon anisotropy and strain‐tunable mode shifts.
Aljoscha Söll +17 more
wiley +1 more source
Kinase signaling in liver disease via clinical-trial-on-a-PamChip: A distinctive methodology for drug mechanisms and personalized medicine. [PDF]
Kipp ZA +5 more
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Melanin content directly controls fungal spore mechanical properties, with pigmented spores achieving rupture forces two orders of magnitude higher than hyaline spores. Environmental stress drives this quantity‐quality tradeoff; stressed species invest energy in melanin‐reinforced, mechanically superior thick‐walled, super‐hydrophobic spores, while ...
Atul Agrawal, Steven E. Naleway
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Comparative machine learning models for predicting the compressive strength of ultra-high-performance concrete. [PDF]
Nga NTT, Tuan NA, Tu NT, Dang HT.
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Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez +9 more
wiley +1 more source
An Interpretable MRI-Based Machine Learning Model for Preoperative Identification of the Vascular Dissemination Phenotype in Hepatocellular Carcinoma: A Dual-Center Study. [PDF]
Pan J +8 more
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A Global and Local SHAP-Driven Interpretable Framework for Early Hospital Admission Prediction With Machine Learning at Emergency Department Triage. [PDF]
Brown AE +3 more
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An interpretable machine learning model for predicting febrile seizures following enterovirus infection in children. [PDF]
Luo Y +5 more
europepmc +1 more source
Carbon halogen bond dissociation energy predictions through automated machine learning pipeline. [PDF]
Tajammal M +5 more
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