Automated stance detection in complex topics and small languages: The challenging case of immigration in polarizing news media.

Automated stance detection and related machine learning methods can provide useful insights for media monitoring and academic research. Many of these approaches require annotated training datasets, which limits their applicability for languages where these may not be readily available. This paper explores the applicability of large language models for automated stance detection in a challenging scenario, involving a morphologically complex, lower-resource language, and a socio-culturally complex topic, immigration.

Chronic Granulomatous Disease: an Updated Experience, with Emphasis on Newly Recognized Features.

Purpose: Chronic granulomatous disease (CGD) is an uncommon, inborn error of immunity. We updated our large, single-center US experience with CGD and describe some newly recognized features.

Methods: We retrospectively reviewed 26 patients seen from November 2013 to December 2019.

Ocular findings in pediatric turner syndrome.

Objective: Turner syndrome (TS) is associated with abnormalities across several organ systems, including the visual system. There is a relative paucity of literature describing ophthalmic manifestations of TS. We sought to investigate eye manifestations in our cross-sectional population of pediatric TS patients.

A case of blepharophimosis: Freeman Sheldon syndrome.

Purpose: Important implications exist for ophthalmologists when considering possible early surgical intervention for potential amblyogenic anatomical abnormalities. The authors discuss the risks and benefits from an ophthalmological perspective of different interventions and review the genetic testing that confirmed the diagnosis.

Observations: The authors describe the findings and management of an infant with Freeman Sheldon syndrome presenting with blepharophimosis of both eyelids resulting in inability to open both eyes during the first several days of life.