CT-Based radiomics nomogram of lung and mediastinal features to identify cardiovascular disease in chronic obstructive pulmonary disease: a multicenter study.

Rationale And Objectives: To investigate the performance of two diagnostic models based on CT-derived lung and mediastinum radiomics nomograms for identifying cardiovascular disease (CVD) in Chronic Obstructive Pulmonary Disease (COPD) patients.

Materials And Methods: Hospitalized participants with COPD were retrospectively recruited between September 2015 and April 2023. Clinical data and visual coronary artery calcium score (CACS) were collected.

Deep reinforcement learning based low energy consumption scheduling approach design for urban electric logistics vehicle networks.

The rapid increase in carbon emissions from the logistics transportation industry has underscored the urgent need for low-carbon logistics solutions. Electric logistics vehicles (ELVs) are increasingly being considered as replacements for traditional fuel-powered vehicles to reduce emissions in urban logistics. However, ELVs are typically limited by their battery capacity and load constraints.

Total laparoscopy-assisted total gastrectomy with Da Vinci robotic system conducted by robotic enhanced neurocomputing joint intelligence gastrointestinal surgery hub (RENJI-GISH): a preliminary clinical study and case report.

Background: On August 7, 2024, the inaugural total laparoscopy-assisted total gastrectomy with the Da Vinci robotic system was performed in the department of gastrointestinal surgery of Renji Hospital, Shanghai Jiaotong University School of Medicine. The procedure, conducted by RENJI-GISH, employed the use of a Da Vinci robot system in conjunction with the Vision Pro and SonoScape medical electronic endoscopy system. This phenomenon has not been documented in the field of gastric cancer surgery The objective of this study is to investigate the safety, feasibility, and surgical effect of the first total laparoscopy-assisted total gastrectomy with the Da Vinci robotic system, conducted by the Robotic Enhanced Neurocomputing Joint Intelligence Gastrointestinal Surgery Hub (RENJI-GISH).

Tissue-specific extracellular matrix for the larger-scaled expansion of spinal cord organoids.

Spinal cord organoids (SCOs) are in vitro models that faithfully recapitulate the basic tissue architecture and cell types of the spinal cord and play a crucial role in developmental studies, disease modeling, and drug screening. Physiological cues are required for proliferation and differentiation during SCO culture. However, commonly used basement membrane matrix products, such as Matrigel®, lack tissue-specific biophysical signals.

Enhanced and sustainable advanced nitrogen removal in mixotrophic systems using pyrite and solid carbon source.

Utilizing widespread minerals/solid wastes as electron donors for denitrification is conducive to sustainable wastewater treatment. The current denitrification technologies based on single pyrite/solid carbon sources have problems of limited removal efficiency or unstable carbon release. In this study, two continuous biofilters, pyrite-corncob mixotrophic system (R) and pyrite-polybutylene succinate mixotrophic system (R), were conducted and operated steadily for a long period (>326 d).