Bibliometric analysis of published works in ocular trauma: a growing focus on open globe injury.

Purpose: The purpose of this study is to analyze the trends and characteristics of ocular trauma research published from 2000 to 2022 to delineate the trajectory of the field's research, provide information about the network of key contributors, and help determine future research strategies and direction.

Methods: Web of Science was queried for published works using a series of keywords relating to ocular trauma: "globe rupture", "ruptured globe", "globe injury", "ocular trauma", "intraocular foreign body", "eye trauma", "eye injury", and "traumatic endophthalmitis". All article information was compiled using the VOSviewer software.

Prognostic Value of Coronary Angiography-Derived Index of Microcirculatory Resistance in Patients With Intermediate Coronary Stenosis.

Background: The association between coronary microcirculation and clinical outcomes in patients with intermediate stenosis remains unclear.

Objectives: The aim of this study was to assess the prognostic significance of angiography-derived index of microcirculatory resistance (angio-IMR) in patients with intermediate coronary stenosis.

Methods: This post hoc analysis included 1,658 patients from the FLAVOUR (Fractional Flow Reserve and Intravascular Ultrasound for Clinical Outcomes in Patients with Intermediate Stenosis) trial, with angio-IMR measured in each vessel exhibiting intermediate stenosis.

Selective sensing of NH and NO on WSe monolayers based on defect concentration regulation.

Defect engineering is an important method to control material properties. In this paper, large-scale sampling density functional theory (DFT) was used to investigate the adsorption and sensing behavior of NH and NO on a WSe monolayer, with a focus on the effect of selenium vacancy concentration. The results demonstrate that selectivity is inhibited on a perfect monolayer due to the similar adsorption energy of the two gases, NH and NO, while selectivity can be obtained for both of them under different selenium vacancy concentrations (NH about 2-5.

Construction of a poor prognosis prediction and visualization system for intracranial aneurysm endovascular intervention treatment based on an improved machine learning model.

Objective: To evaluate the clinical utility of improved machine learning models in predicting poor prognosis following endovascular intervention for intracranial aneurysms and to develop a corresponding visualization system.

Methods: A total of 303 patients with intracranial aneurysms treated with endovascular intervention at four hospitals (FuShun County Zigong City People's Hospital, Nanchong Central Hospital, The Third People's Hospital of Yibin, The Sixth People's Hospital of Yibin) from January 2022 to September 2023 were selected. These patients were divided into a good prognosis group ( = 207) and a poor prognosis group ( = 96).