Association of circulating adiponectin and leptin levels with the risk of diabetic peripheral neuropathy.

Background: Adipokines have been implicated in the pathogenesis of type 2 diabetes mellitus (T2DM) and related complications due to their roles in metabolic regulation and inflammation. However, the relationship between these adipokines and diabetic peripheral neuropathy (DPN) remains unclear.

Methods: A case-control study was performed with 198 patients with DPN and 205 T2DM patients without DPN from the Endocrinology Department at the Second Affiliated Hospital of Hainan Medical University.

Hotspots of nitrogen losses from anthropogenic sources in the Huang-Huai-Hai Basin, China.

Poor management of nitrogen (N) can lead to serious environmental problems, such as air and water pollution. The accurate identification of priority control areas and emission sources is critical for making effective decisions regarding sustainable N management. This study aimed to identify hotspots for N losses and quantitatively analyze the relative contributions of different emission sources in the Huang-Huai-Hai Basin at the county scale.

Superiority of Linear-Array EUS over MRCP in Diagnosing Pancreas Divisum: Evidence from a Multicenter Retrospective Study in Oriental Cohorts.

Background And Aims: Pancreas divisum (PD) is the most common developmental anatomic variant of pancreatic duct. The published data on the accuracy of the detection of pancreas divisum by linear-array endoscopic ultrasound (L-EUS) is limited. The current study aimed to assess the diagnostic accuracy of L-EUS compared with magnetic resonance cholangiopancreatography (MRCP) for identifying PD.

Delineation of intersegmental plane: application of blood flow blocking method in pulmonary segmentectomy.

Background: The Modified Inflation-Deflation Method (MIDM) is widely used in China in pulmonary segmentectomies. We optimized the procedure, which was named as Blood Flow Blocking Method (BFBM), also known as "No-Waiting Segmentectomy". This method has produced commendable clinical outcomes in segmentectomies.

Path planning and engineering problems of 3D UAV based on adaptive coati optimization algorithm.

In response to the challenges faced by the Coati Optimization Algorithm (COA), including imbalance between exploration and exploitation, slow convergence speed, susceptibility to local optima, and low convergence accuracy, this paper introduces an enhanced variant termed the Adaptive Coati Optimization Algorithm (ACOA). ACOA achieves a balanced exploration-exploitation trade-off through refined exploration strategies and developmental methodologies. It integrates chaos mapping to enhance randomness and global search capabilities and incorporates a dynamic antagonistic learning approach employing random protons to mitigate premature convergence, thereby enhancing algorithmic robustness.