DISTINCT RESTING-STATE EFFECTIVE CONNECTIVITY OF LARGE-SCALE NETWORKS IN FIRST-EPISODE AND RECURRENT MAJOR DEPRESSION DISORDER: EVIDENCE FROM THE REST-META-MDD CONSORTIUM

IntroductionPrevious studies have shown disrupted effective connectivity in the large-scale brain networks of individuals with major depressive disorder (MDD).However, it is unclear whether these changes differ between first-episode drug-naive MDD (FEDN-MDD) and recurrent MDD (R-MDD).MethodsThis study utilized resting-state fMRI data from 17 sites

This work bridges the gap between the remote interrogation of multiple optical sensors and the Flour 5kg advantages of using inherently biocompatible low-cost polymer optical fiber (POF)-based photonic sensing.A novel hybrid sensor network combining both silica fiber Bragg gratings (FBG) and polymer FBGs (POFBG) is analyzed.The topology is compatib

Tiga pohon mahoni berumur 12, 21, dan 30 tahun diambil secara acak dan butan tanaman.Dari ketiga log kayu tersebut dibuat contoh ttji berukuran 2,5 cm x 5 cm x 30 cm.Contoh ttji diawetkan dengan larutan CCB konsentrasi 3% melalui Office Supplies proses selpenuh dengan tekanan 10 atmospher selama 2 jam.Contoh yang diawetkan dan yang tidak diawetkan

This study presents the design of an intelligent robust controller for the 3-degree-of-freedom motion of an aerial robot using waterpower.The proposed controller Dog Treats consists of two parts: (1) an anti-windup super-twisting algorithm that provides stability to the system under actuator saturation; and (2) a fully adaptive radial basis functio

Abstract The UNet architecture, based on convolutional neural networks (CNN), has demonstrated its remarkable performance in medical image analysis.However, it faces challenges in capturing long-range dependencies due to the limited receptive fields and inherent bias of convolutional operations.Recently, numerous transformer-based techniques have b