Henan Radio and Television University

Aiming at the problems of the existing single image super-resolution (SISR) reconstruction methods, such as insufficient feature utilization and weak ability to recover image high-frequency details, we propose a multi-scale feature feedback network (MFN) for SISR. First, multi-scale convolutional kernels are used to extract features of different dimensions in the image. Thus, the ability of the network to extract features of different scales early is improved. Then, we combine the dense network to design a group of multi-scale projection units to explore the correlation between high and low-resolution image features from multiple scales. Each group of projection units consists of a multi-scale up-sampling block and a multi-scale attention block (MAB). The MAB focuses on high-frequency features related to reconstructed image edges and textures. Finally, we used a constrained recurrent neural network to implement the feedback mechanism to improve the feature extraction capability of the network. Extensive experimental results demonstrate the effectiveness of our approach, which has advantages over other state-of-the-art SISR methods in terms of restoration quality and network complexity.

BackgroundEffective health management of people at high risk of stroke in China is challenging.AimTo explore and identify the experiences of health management among people at high risk of stroke in order to provide a foundation for a targeted health management strategy for this special group.DesignA qualitative, descriptive study based on interviews.MethodsSemistructured interviews were conducted with 31 people at high risk of stroke. The interviews were collated and analysed using Colaizzi’s seven‐step method.ResultsA total of 31 people at high risk of stroke were included, and the ages ranged from 40 to 86, with an average age of 60.71 (SD = 11.55). The experiences of health management were categorized into three themes. Theme 1: Facing many ongoing problems in health management, limited knowledge, lack of confidence and poor compliance. Theme 2: Accumulated some value experiences of coping with problems of health management, becoming active learners, promoting social interaction and enhancing self‐health management. Theme 3: Sensitivity to multiple influencing factors, the severity of disease and complexity of disease management, family income and economic burden and the value of social support.ConclusionsThis study explored the experiences of health management among people at high risk of stroke, and these findings are of great significance in the primary prevention of stroke.

With the vigorous development of social media, microblog and other social media have gained massive number of users. Hot events spread explosively, and the popularity prediction of microblog content has important research significance in politics, economy and people's livelihood. The existing models related to microblog popularity prediction adopts temporal sequence features or text features, which is relatively single, easily leads to the loss of useful information, and the prediction accuracy of the model is not high. Therefore, this paper designs a popularity prediction model TTMPP that combines temporal sequence features and text features. First, extracting the time series features based on the random point process model SEISMIC, and then the decision tree model lightGBM is used to predict the popularity of microblog based on temporal sequence features and text features. Finally, in the Sina Weibo data set, compared with a variety of typical popularity prediction models, experiments show that the model proposed in this paper has higher prediction accuracy.

The biological reduction of ferrous ethylenediaminetetraaceticacid (EDTA-FeII-NO and EDTA-FeIII) is an importantprocess in the integrated electrobiofilm reduction method, and ithas been regarded as a promising alternative method for removing NOx from industrial boiler flue gas. EDTA-FeII-NO and EDTA-FeIII are crucial substrates thatshould be biologically reduced at a high rate. However, they inhibitthe reduction processes of one another when these two substrates arepresented together, which might limit further promotion of the integratedmethod. In this study, an integrated electrobiofilm reduction systemwith high reduction rates of EDTA-FeII-NO and EDTA-FeIII was developed. The dynamic changes of microbial communitiesin the electrobiofilms were mainly investigated to analyze the changesduring the reduction of these two substrates under different conditions.The results showed that compared to the conventional chemical absorption-biologicalreduction system, the reduction system exhibited better performancein terms of resistance to substrate shock loading and high microbialdiversities. High-throughput sequencing analysis showed that Alicycliphilus, Enterobacteriaceae, and Raoultella were the dominant genera (>25% each) during the process of EDTA-FeII-NO reduction. Chryseobacterium had theability to endure the shock loading of EDTA-FeIII, andthe relative abundance of Chryseobacterium underabnormal operation conditions was up to 30.82%. Ochrobactrum was the main bacteria for reducing nitrate by electrons and therelative abundance still exhibited 16.11% under shock loading. Furthermore,higher microbial diversity and stable reactor operation were achievedwhen the concentrations of EDTA-FeII-NO and EDTA-FeIII approached the same value (9 mmol·L−1).

At present, the physical fitness measurement carried out by the school is an important way to detect the students’ physical health. How to use the students’ physical fitness scores to scientifically and reasonably evaluate the students’ physical fitness and health. This paper attempts to apply BP neural network to evaluate students’ physical health, use software to study and train the designed network, establish the corresponding neural network model, and use SOM neural network clustering to analyze the results of physical health. And realize the physical health evaluation of physical test results. Analysis of the results shows that the BP neural network can evaluate the physical health of the physical test results and show the quality of the students’ physical quality. By using BP neural network to evaluate physical health, the method is operable and has wide practicability, and provides the basis for the credibility of physical health.

Abstract. Black carbon (BC) aerosols emitted from natural and anthropogenic sources induce positive radiative forcing and global warming, which in turn significantly affect the Asian summer monsoon (ASM). However, many aspects of the BC effect on the ASM remain elusive and largely inconsistent among previous studies, which is strongly dependent on different low-level thermal feedbacks over the Asian continent and the surrounding ocean. This study examines the response of the ASM to BC forcing in comparison with the effect of doubled greenhouse gases (GHGs) by analyzing the Precipitation Driver Response Model Intercomparison Project (PDRMIP) simulations under an extremely high BC level (10 times modern global BC emissions or concentrations, labeled BC×10) from nine global climate models (GCMs). The results show that although BC and GHGs both enhance the ASM precipitation minus evaporation (P−E; a 13.6 % increase for BC forcing and 12.1 % for GHGs from the nine-model ensemble, respectively), there exists a much larger uncertainty in changes in ASM P−E induced by BC than by GHGs. The summer P−E is increased by 7.7 % to 15.3 % due to these two forcings over three subregions, including East Asian, South Asian and western North Pacific monsoon regions. Further analysis of moisture budget reveals distinct mechanisms controlling the increases in ASM P−E induced by BC and GHGs. The change in ASM P−E by BC is dominated by the dynamic effect due to the enhanced large-scale monsoon circulation, whereas the GHG-induced change is dominated by the thermodynamic effect through increasing atmospheric water vapor. Radiative forcing of BC significantly increases the upper-level atmospheric temperature over the Asian region to enhance the upper-level meridional land–sea thermal gradient (MLOTG), resulting in a northward shift of the upper-level subtropical westerly jet and an enhancement of the low-level monsoon circulation, whereas radiative forcing of GHGs significantly increases the tropical upper-level temperature, which reduces the upper-level MLOTG and suppresses the low-level monsoonal circulation. Hence, our results indicate a different mechanism of BC climate effects under the extremely high BC level: that BC forcing significantly enhances the upper-level atmospheric temperature over the Asian region, determining ASM changes, instead of low-level thermal feedbacks as indicated by previous studies.

In this study, according to the activity levels of volatile organic compounds (VOCs) sources and source profiles, a 2016-based inventory of the speciation emission of the VOCs was established and the ozone formation potential (OFP) were estimated in Zhengzhou. The results showed that the total VOCs emission in Zhengzhou in 2016 was 96215.3 t. The highest emission source was on-road mobile source (29.7%) followed by solvent use sources (28.1%). The species that contributed the highest emission was alkanes (29.8%) followed by aromatics (29.0%). The OFP in Zhengzhou in 2016 was 341291.0 t with the highest contributing source as on-road mobile (30.5%) followed by solvent use source (28.8%). Moreover, the light duty gasoline vehicle, use of interior wall coatings, vehicle surface coating, gas station loading and unloading, and manufacture of non-metallic mineral were the major secondary emission sources of OFP, which needed to be controlled for reducing ozone pollution in Zhengzhou. For VOCs species group, the higher contribution groups were aromatics (42.8%) and alkenes (38.9%). The sources that produced m/p-xylene, propylene, ethylene, and other species should be paid more attention.

Abstract. Black carbon (BC) aerosols emitted from natural and anthropogenic sources induce positive radiative forcing and global warming, which in turn significantly affect the Asian summer monsoon (ASM). However, many aspects of the BC effect on ASM remain elusive and largely inconsistent among previous studies, which is strongly dependent on different low-level thermal feedbacks over the Asian continent and the surrounding ocean. This study examines the response of ASM to BC forcing in comparison with the effect of doubled greenhouse gases (GHGs) by analyzing the Precipitation Driver Response Model Intercomparison Project (PDRMIP) simulations under an extreme high BC level (10 times modern global BC emissions or concentrations, labeled by BC × 10) from nine global climate models (GCMs). The results show that although BC and GHGs both enhance the ASM precipitation minus evaporation (P–E) (a 13.6 % increase for BC forcing and 12.1 % for GHGs from the nine-model ensemble, respectively), there exists a much larger uncertainty in changes in ASM P–E induced by BC than by GHGs. The summer P–E is increased by 7.7 % to 15.3 % due to these two forcings over three sub-regions including East Asian, South Asian, and western North Pacific monsoon regions. Further analysis of moisture budget reveals distinct mechanisms controlling the increases in ASM P–E induced by BC and GHGs. The change in ASM P–E by BC is dominated by the dynamic effect due to the enhanced large-scale monsoon circulation, whereas the GHG-induced change is dominated by the thermodynamic effect through increasing atmospheric water vapor. Radiative forcing of BC significantly increases the upper-level atmospheric temperature over the Asian region to enhance the upper-level meridional land-sea thermal gradient (MLOTG), resulting in a northward shift of the upper-level subtropical westerly jet and an enhancement of the low-level monsoon circulation; whereas radiative forcing of GHGs significantly increases the tropical upper-level temperature, which reduces the upper-level MLOTG and suppresses the low-level monsoonal circulation. Hence, our results indicate a different mechanism of BC climate effects under the extreme high BC level, that BC forcing significantly enhances the upper-level atmospheric temperature over the Asian region, determining ASM changes, instead of low-level thermal feedbacks as indicated by previous studies.

The construction schedule control of construction project is within the prescribed period of time to develop a scientific and reasonable plan, and when executed timely check construction progress, the knowledge of construction progress, and then analyzed the construction plan, timely correcting and deal with the deviation, and take effective solutions to promote the project smoothly.Construction engineering plays an important role in economic development, so it can guarantee the quality of construction.This paper analyzes the management of construction engineering construction progress control and control methods of construction engineering project, the aiming at the influence factors of construction engineering construction progress, the control and management measures are put forward for reference.

Abstract East Asian dust and its radiative feedbacks are analyzed by the use of the fourth version of the Community Atmosphere Model (CAM4) with a bulk aerosol model parameterization (BAM) for the dust size distribution (CAM4‐BAM). Two numerical experiments are conducted and intercompared: one with (Active) and one without (Passive) the radiative effects of dust aerosols. This CAM4‐BAM captures the main spatial distribution of the dust aerosol optical depth (AOD) and the dust surface concentrations over East Asia, with positive correlations with the local observational data on annual and seasonal means. A comparative analysis of the Active and Passive experiments reveals that consideration of the dust‐radiation interaction can significantly reduce dust emissions, loading, transport, and dry and wet depositions over East Asia, which is opposite to the enhanced dust cycle over North Africa. Further analysis of the contrasting dust‐radiation feedbacks between North Africa and East Asia shows that over North Africa, the dust radiative forcing significantly increases the surface temperature and 10 m wind speed, whereas it decreases the surface temperature and the surface wind speeds over East Asia. These contrasting radiative effects, in turn, result in distinct dust cycle changes over these two regions. Mechanistic analysis reveals that the radiative contrasts between East Asia and North Africa are mainly due to the differences in their regional surface albedo, dust vertical distribution, and size distribution.