Presentation of Bilateral Optic Disc Coloboma-Morning Glory Syndrome in Mother and Son, with Retinitis Pigmentosa in the Father. [PDF]
İslambekov Y, Çakır B, Ateş K.
europepmc +1 more source
Double Optic Discs, Optic Disc Coloboma, and Pit: Spectrum of Hybrid Disc Anomalies in a Single Eye [PDF]
openaire +2 more sources
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Endoscopic transsphenoidal surgery for a somatotroph pituitary neuroendocrine tumor associated with an infraoptic course of the anterior cerebral artery: A case report. [PDF]
Numa K +12 more
europepmc +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Morning glory syndrome with retinal detachment and literature review-a case report. [PDF]
Ding Y, Zhang A.
europepmc +1 more source
How much material loss is concealed beneath a layer of corrosion products? This proof‐of‐concept study demonstrates how concealed volume loss is inferred from the optical appearance and as‐exposed surface topography of AZ31 corrosion imprints. By predicting postcleaning depth maps, a multimodal U‐Net model estimates hidden volume loss without chromic ...
Lars Dammann +8 more
wiley +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Clinical Spectrum of Neuro-Ophthalmic Disorders at a Thai Tertiary Referral Center: An 11-Year Retrospective Study. [PDF]
Srimanan W, Sawangsribanterng S.
europepmc +1 more source

