Multi-omic insights into molecular mechanism and therapeutic targets in spinocerebellar ataxia type 7.

Recent advances in molecular science have significantly enlightened our mechanistic understanding of spinocerebellar ataxia type 7. To further close remaining gaps, we performed a multi-omics analysis using SCA7 mice. Entire brain tissue samples were collected from 12-week-old mice, and RNA sequencing, methylation analysis, and proteomic analysis were performed.

A comprehensive study of quantum arithmetic circuits.

In recent decades, the field of quantum computing has experienced remarkable progress. This progress is marked by the superior performance of many quantum algorithms compared with their classical counterparts, with Shor's algorithm serving as a prominent illustration. Quantum arithmetic circuits, which are the fundamental building blocks in numerous quantum algorithms, have attracted much attention.

A novel machine learning model for screening the risk of obstructive sleep apnea using craniofacial photography with questionnaires.

Study Objectives: Undiagnosed or untreated moderate to severe obstructive sleep apnea (OSA) increases cardiovascular risks and mortality. Early and efficient detection is critical, given its high prevalence. We aimed to develop a practical and efficient approach for obstructive sleep apnea screening, using simple facial photography and sleep questionnaires.

Laparoscopic wedge resection of a descending duodenal gastrointestinal stromal tumor under endoscopic nasobiliary drainage guidance: A case report.

Introduction: Gastrointestinal stromal tumors (GIST), which occur anywhere in the gastrointestinal (GI) tract, typically occur in the stomach and small intestine but rarely in the duodenum. We present a case report wherein a descending duodenal GIST was treated with a limited, minimally invasive surgery after endoscopic nasobiliary drainage (ENBD) insertion.

Presentation Of Case: A 67-year-old woman visited our hospital with an incidentally discovered duodenal tumor.