Numerous deep learning-based object detection methods have achieved excellent performance. However, the performance on small-size and positive negative sample imbalance problems is not satisfactory. We propose a multi-scale feature selective matching network (MFSMNet) to improve of alleviate problems. First, we construct semantic enhancement module (MSEM) compensate for information loss small-s...

Lactate levels are measurable by MRS and are related to neural activity. Therefore, it is of interest to accurately measure lactate levels in the basal ganglia networks. If sufficiently stable, lactate measurements may be used to investigate alterations in dopaminergic signalling in the striatum, facilitating the detection and diagnosis of metabolic deficits. The aim of this study is to provide...

changed under ambient condition for at least 40 h, time to which these measurements were carried out. To investigate the absorption behavior as a function of time, the absorption spectrum at 100 OC was taken at regular intervals over 40 h for poled/cured A204/DR1. An absorption peak at A, , = 508 nm existed before poling/curing. After poling/curing &shifta to 493 nm with a decrease of absorbanc...

This article refers to:RETRACTED ARTICLE: A fluorescent Zn(II)-organic framework for selective detection of Pb2+ and a protective effect in osteoarthritis treatment by reducing ROS accumulation apoptosis chondrocytes

A novel tyrosinase-based biosensor was developed for the detection of dopamine (DA). For increased selectivity, gold electrodes were previously modified with cobalt (II)-porphyrin (CoP) film with electrocatalytic activity, to act both as an electrochemical mediator and an enzyme support, upon which the enzyme tyrosinase (Tyr) was cross-linked. Differential pulse voltammetry was used for electro...

Abstract: A hybrid snake algorithm is presented in this paper. The procedure is based on combining a dynamic balloon force, a GVF force and a traditional gradient force. The balloon force is modified in order to increase the capture range and convergence speed of active contour in a dynamic way. Our interest is to give the balloon force a bigger preponderance at the early of procedure and a sma...

Objects for detection usually have distinct characteristics in different sub-regions and different aspect ratios. However, in prevalent two-stage object detection methods, Region-of-Interest (RoI) features are extracted by RoI pooling with little emphasis on these translation-variant feature components. We present feature selective networks to reform the feature representations of RoIs by explo...