Results 91 to 100 of about 34,555 (299)
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley +1 more source
Community Reclamation: the Hybrid Building [PDF]
Reclamation of a city involves reusing abandoned buildings in conjunction with new construction. These negative spaces of disuse generated by a changing infrastructure are often overlooked or destroyed.
Maynard, Laura
core +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
Keberkesanan modul asas keusahawanan bercirikan strategi pembelajaran masteri terhadap pelajar Orang Asli [PDF]
Kajian ini adalah berbentuk eksperimen sebenar jenis ujian pra-pos yang bertujuan mengenal pasti keberkesanan modul asas keusahawanan yang bercirikan strategi pembelajaran masteri terhadap pencapaian dan tingkah laku keusahawanan pelajar Orang Asli.
Amiruddin, Mohd Hasril
core
A coupled mitral valve -- left ventricle model with fluid-structure interaction
Understanding the interaction between the valves and walls of the heart is important in assessing and subsequently treating heart dysfunction. With advancements in cardiac imaging, nonlinear mechanics and computational techniques, it is now possible to ...
Brown, André EX +11 more
core +3 more sources
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong +4 more
wiley +1 more source
Heart Rhythm Insights Into Structural Remodeling in Atrial Tissue: Timed Automata Approach
The heart rhythm of a person following heart transplantation (HTX) is assumed to display an intrinsic cardiac rhythm because it is significantly less influenced by the autonomic nervous system—the main source of heart rate variability in healthy people ...
Danuta Makowiec +3 more
doaj +1 more source
Respiratory Involvement in HIST1H1E‐Related Rahman Syndrome: A Case of Severe Mixed Apnea
ABSTRACT Rahman syndrome (HIST1H1E‐related neurodevelopmental syndrome, OMIM #617537) is a rare autosomal‐dominant condition caused by truncating variants in the C‐terminal domain of the HIST1H1E gene. It is characterized by macrocephaly, hypotonia, craniofacial anomalies, and multisystem anomalies.
Nada Barakat +4 more
wiley +1 more source
Clot Composition Profiling in Large Vessel Occlusion Stroke Via Radiomics
Objective Clot composition may offer insights into the mechanism of ischemic stroke. Radiomics, a noninvasive imaging technique, enables tissue characterization through radiomic features (RFs). We aimed to evaluate clot composition using radiomics on non‐contrast computed tomography (NCCT).
Andres Gudino +23 more
wiley +1 more source

