Abstract Background Tumor-associated macrophages (TAMs) are the major component of tumor-infiltrating immune cells.Macrophages are broadly categorized as M1 or M2 types, and TAMs have been shown to express an M2-like phenotype.TAMs promote tumor progression and contribute to resistance to Riding Gaiters chemotherapies.Therefore, M2-like TAMs are po
Enhancing Medical Image Classification Through PSO-Optimized Dual Deterministic Approach and Robust Transfer Learning
Effective transfer learning, within medical image classification, is probably one of the most critical areas of research due to the associated complexities with the nature of medical images.These involve variations in the acquisition techniques of images, resolutions, modalities, and patient demographics.This study aims to develop a robust transfer
Time-frequency analysis of freqency-hopping signals based on sparse recovery
To overcome the common shortcomings shared by the existing methods: weak suppression noise interference and feeble performance Riding Gaiters of time-frequency concentration,a novel time-frequency analysis method based on sparse repre-sentation was developed,which could get clear and concentrate time-frequency representation.Firstly,the unconstrain
Functional Connectivity Density with Frequency-Dependent Changes in Patients with Diffuse Axonal Injury: A Resting-State Functional Magnetic Resonance Imaging Study
Guojin Xia,1,2 Zhenzhen Hu,3 Fuqing Zhou,1,2 Wenfeng Duan,1,2 Min Wang,1,2 Honghan Gong,1,2 Yulin He,1,2 Yanxing Guan4 1Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People’s Republic of China; 2Jiangxi Province Medical Imaging Research Institute, Jiangxi, People’s Republic of China; 3Department
A correlation study of music training, adult attachment, and personality traits using a large-sample questionnaire
IntroductionMusic training can provide benefits to psychological health and is strongly associated with adult attachment style and personality traits through bidirectional interactions.MethodsA large sample including 10,191 Chinese musicians and non-musicians completed the Relationship Questionnaire and Big-Five Personality Inventory.ResultsConnect