Feature Selective Networks for Object Detection

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 exploiting their disparities among sub-regions and aspect ratios. Our network produces the sub-region attention bank and aspect ratio attention bank for the whole image. The RoI-based sub-region attention map and aspect ratio attention map are selectively pooled from the banks, and then used to refine the original RoI features for RoI classification. Equipped with a light-weight detection subnetwork, our network gets a consistent boost in detection performance based on general ConvNet backbones (ResNet-101, GoogLeNet and VGG-16). Without bells and whistles, our detectors equipped with ResNet-101 achieve more than 3% mAP improvement compared to counterparts on PASCAL VOC 2007, PASCAL VOC 2012 and MS COCO datasets

The Association of Parent-Child Communication With Internet Addiction in Left-Behind Children in China: A Cross-Sectional Study

Objective: Internet addiction has emerged as a growing concern worldwide. This study aimed to compare the prevalence of Internet addiction between left-behind children (LBC) and non-left-behind children (non-LBC), and explore the role of paternal and maternal parent-child communication on LBC. Methods: We conducted a cross-sectional survey in rural areas in Anhui, China. The complete data were available from 699 LBC and 740 non-LBC. Multivariable logistic regression was used to examine 1) whether LBC were more likely to develop Internet addiction, and 2) the association between parent-child communication and Internet addiction among LBC. Results: LBC had a higher likelihood to report Internet addiction when compared to non-LBC (OR = 2.03, 95%CI = 1.43–2.88, p \u3c 0.001). Among LBC, parent-child communication (both mother-child and father-child) was protective factor for children’s Internet addiction. The role of mother-child communication played well among male LBC. Conclusions: The lack of parental supervision may lead to Internet addiction. It is highly recommended for migrant parents to improve the quality of communication with their children. Also, gender-matching effects should be considered in the relationship between children’s behavior and parental factors

Catalytic Decomposition of Ozone by CuO/MnO2-Performance, Kinetics and Application Analysis

AbstractOzone as a major ambient gas pollutant needs to be removed for many indoor environments due to its adverse health effect. The objective of this study is to investigate the ozone removal performance of a Hopcalite catalyst CuO/MnO2 under different operation conditions. The effect of relative humidity (15-80%), temperature (30-160°C) and ozone concentration (200-2000ppb) was experimentally tested. Then the catalyst was coated on fiberglass media for application. The influence of preparation method was also investigated. Finally, the application analysis of such material is discussed for building environment control situation

Density functional theory study of mechanism of forming a spiro-Si-heterocyclic ring compound from Me2SiSi: and acetaldehyde

AbstractThe H2SiSi: and its derivatives (X2SiSi:, X=H, Me, F, Cl, Br, Ph, Ar…) is a new species. Its cycloaddition reaction is a new area for the study of silylene chemistry. The mechanism of the cycloaddition reaction between singlet Me2SiSi: and acetaldehyde has been investigated with the B3LYP/6-31G∗ method in article. From the potential energy profile, it could be predicted that the reaction has one dominant reaction pathway. The reaction rule presented is that the two reactants firstly form a four-membered Si-heterocyclic ring silylene through the [2+2] cycloaddition reaction. Because of the 3p unoccupied orbital of Si: atom in the four-membered Si-heterocyclic ring silylene and the π orbital of acetaldehyde forming a π→p donor–acceptor bond, the four-membered Si-heterocyclic ring silylene further combines with acetaldehyde to form an intermediate. Because the Si atom in intermediate happens sp3 hybridization after transition state, then, intermediate isomerizes to a spiro-Si-heterocyclic ring compound via a transition state

Fast equilibrium reconstruction by deep learning on EAST tokamak

A deep neural network is developed and trained on magnetic measurements (input) and EFIT poloidal magnetic flux (output) on the EAST tokamak. In optimizing the network architecture, we use automatic optimization in searching for the best hyperparameters, which helps the model generalize better. We compare the inner magnetic surfaces and last-closed-flux surfaces (LCFSs) with those from EFIT. We also calculated the normalized internal inductance, which is completely determined by the poloidal magnetic flux and can further reflect the accuracy of the prediction. The time evolution of the internal inductance in full discharges is compared with that provided by EFIT. All of the comparisons show good agreement, demonstrating the accuracy of the machine learning model, which has the high spatial resolution as the off-line EFIT while still meets the time constraint of real-time control