Results 201 to 210 of about 839,529 (283)

BMI is independently associated with ARDS, sepsis and multiorgan failure after major trauma-results of a high-volume retrospective observational cohort study. [PDF]

Scand J Trauma Resusc Emerg Med
Erdle B, Mangold J, Kalbhenn J, Diallo TD, Wagner FC, Maier J, Schmal H, Mühlenfeld N.   +7 more
europepmc   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

IN SITU: Evaluation of the feasibility and impacts of in situ simulation in emergency medicine, a mixed method study. [PDF]

Scand J Trauma Resusc Emerg Med
Truchot J, Raymond-Dufresne E, Boucher V, Malo C, Brassard É, Marcotte J, Martel G, Garneau C, Coté G, Émond M.   +9 more
europepmc   +1 more source

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Biological sex, but not obesity, independently predicts anatomical injury patterns in trauma bay patients: a multivariate retrospective analysis of 2,128 patients. [PDF]

Biol Sex Differ
Pietsch C, Erdle B, Klingler F, Wagner FC, Maier JP, Schmal H, Mühlenfeld N.   +6 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Predictors of prolonged observation in pregnant trauma patients in the emergency department. [PDF]

Ulus Travma Acil Cerrahi Derg
Taşkum İ, Bozkurt M, Çavdar MS, Sabak M, Bademkıran MH.   +4 more
europepmc   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Outcomes following non-operative management for severe liver trauma: a UK multicentre observational study. [PDF]

Scand J Trauma Resusc Emerg Med
Brooks A, Joyce D, Gouveia S, Burak M, LaValle A, Reilly JJ, Adiamah A, Diacon T, Blackburn L, Melia G, Kitchen S, Gaski IA, Gaarder C, Næss PA, Naumann DN.   +14 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source