Research on the spatial-temporal distribution of three-dimensional carbon footprint in different urban agglomerations in China.

This study expands the original two-dimensional carbon footprint model into a three-dimensional model form. Introduce two indicators of carbon footprint depth (CF) and size (CF) to form a three-dimensional carbon footprint model (CF), which is used to respectively represent the occupation and consumption of natural capital reserves by human activities' carbon emissions. Based on the 3D carbon footprint model, this paper calculated the CF, CF, and CF for four different urban agglomerations of China (BTH, YRD, PRD, and CY) spanning from 2000 to 2017.

Preoperative Risk Assessment for Lumbar Fusion in Patients With Diabetes: Data-Driven Stratification of HbA1c and Same Day Glucose Levels that Predict 90-Day Complication Rates.

Study Designs: Retrospective Database Analysis.

Objectives: Pre-operative glycemic control in diabetic patients undergoing lumbar fusion (LF) is essential for evaluating complication risk. However, current thresholds for preoperative HbA1c and same-day-glucose (SDG) are either non-specific or have low predictive power.

Deep Learning Radiomics Nomogram Based on MRI for Differentiating between Borderline Ovarian Tumors and Stage I Ovarian Cancer: A Multicenter Study.

Rationale And Objectives: To develop and validate a deep learning radiomics nomogram (DLRN) based on T2-weighted MRI to distinguish between borderline ovarian tumors (BOTs) and stage I epithelial ovarian cancer (EOC) preoperatively.

Materials And Methods: This retrospective multicenter study enrolled 279 patients from three centers, divided into a training set (n = 207) and an external test set (n = 72). The intra- and peritumoral radiomics analysis was employed to develop a combined radiomics model.

Effectiveness and safety of acupuncture for melasma: A meta-analysis of randomized controlled trials.

Background: Treating melasma remains challenging. We conducted a meta-analysis to assess the effectiveness and safety of acupuncture as a treatment option.

Methods: We searched three English and four Chinese databases up to January 2, 2024.

DIKOApp: An AI-Based Diagnostic System for Knee Osteoarthritis.

The diagnosis of knee osteoarthritis is challenging due to its complex nature and various contributing factors. With the advancement of artificial intelligence (AI) technology, some computer vision-based methods have been developed to address this task. However, when applied in practice, these methods encounter numerous challenges.