Results 261 to 270 of about 220,793 (302)
Ischemic Colitis with Perforation Occurring 15 Months after Colorectal Cancer Surgery in a Patient with Severe Heart Failure: A Case Report. [PDF]
Machi R +16 more
europepmc +1 more source
A Standardized Framework for Elastomer Characterization in Soft Robotics
A unified framework addresses inconsistent elastomer property reporting which limits reproducibility and standardization in soft robotics. Systematic testing of ten elastomers (thermosetting, thermoplastic, and a covalent adaptable network) provides quasielastic mechanical properties, viscoelastic parameters, thermal stability, and processing ...
Ellen Roels +2 more
wiley +1 more source
Delayed Ureteral Obstruction Due to Intramural Endo-Endoscopic Gastrointestinal Anastomosis Staples Following Laparoscopic Sigmoid Resection: A Case Report. [PDF]
Madarasz Z +6 more
europepmc +1 more source
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source
Sigmoid gallbladder in a 38-year-old female with gallstone disease: a case report. [PDF]
Abagojam AH +3 more
europepmc +1 more source
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng +7 more
wiley +1 more source
Ambiguities in Sigmoid Volvulus Management: Developing a Framework for Optimal Management Strategies. [PDF]
Taggarsi M +4 more
europepmc +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Breast Cancer Data Analysis Using Supervised Machine Learning Algorithms. [PDF]
Kutal DH, Koseoglu BN.
europepmc +1 more source
A machine learning framework is developed for the inverse design of 4D‐printed active composite plates. It utilizes a forward model to predict shapes from patterns and an inverse model to suggest initial patterns for desired shapes. This framework integrates a genetic algorithm to refine the predicted patterns, ensuring higher accuracy in achieving ...
Teerapong Poltue +4 more
wiley +1 more source

