Downscaling of Non-Van der Waals Semimetallic WN with Resistivity Preservation.

The bulk phase of transition metal nitrides (TMNs) has long been a subject of extensive investigation due to their utility as coating materials, electrocatalysts, and diffusion barriers, attributed to their high conductivity and refractory properties. Downscaling TMNs into two-dimensional (2D) forms would provide valuable members to the existing 2D materials repertoire, with potential enhancements across various applications. Moreover, calculations have anticipated the emergence of uncommon physical phenomena in TMNs at the 2D limit.

Lightweight Deep Learning Model, ConvNeXt-U: An Improved U-Net Network for Extracting Cropland in Complex Landscapes from Gaofen-2 Images.

Extracting fragmented cropland is essential for effective cropland management and sustainable agricultural development. However, extracting fragmented cropland presents significant challenges due to its irregular and blurred boundaries, as well as the diversity in crop types and distribution. Deep learning methods are widely used for land cover classification.

A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma.

Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.

Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).

Efficacy of multi-color near-infrared fluorescence with indocyanine green: A new imaging strategy and its early experience in laparoscopic cholecystectomy.

Background: Near-infrared fluorescence imaging using intravenous indocyanine green (ICG) has a wide range of applications in multiple surgical scenarios. In laparoscopic cholecystectomy (LC), it facilitates intraoperative identification of the biliary system and reduces the risk of bile duct injury. However, the usual single color fluorescence imaging (SCFI) has limitations in manifesting the fluorescence signal of the target structure when its intensity is relatively low.

Type D Personality As a Risk Factor for 3-Year Cardiovascular Events in Patients With Coronary Artery Disease and Their Spouse: A Prospective Cohort Study.

Aims: Type D personality has been established as an independent psychological risk factor for adverse outcomes in coronary artery disease (CAD) patients. However, research on the association between Type D personality and cardiovascular events in couples is limited. This study investigated the correlation between Type D personality and cardiovascular outcomes among CAD patients and their spouses.