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Depression is an important mental disease of global concern. Its complicated etiology and chronic clinical features make it difficult for users to be conscious of their own depression emotion and seriously threaten the patient’s life safety. With the development of e-commerce, intelligent recommender system has brought new opportunities to personalized health monitoring for the users with emotional distress. Therefore, this paper puts forward the emHealth system, which is an intelligent health recommendation system with depression prediction for emotion health. This paper explores the monitoring and improvement of users psychological and physiological conditions by pushing personalized therapy solutions to patients with emotional distress. Specifically, this paper first proposes the system architecture of emHealth. Then, we design personalized mobile phone Apps to collect emotional data of users with tendentious depressive mood, and find the five main external characteristics of depression by Pearson correlation analysis. We divide 1047 volunteers data into training set and test set, and construct prediction model of depression using decision tree and support vector machine algorithms. For the different external factors that lead to depression, we give personalized recommendation and intelligent decision-making solution, and push related emotional improvement suggestions to guide users behavior. Finally, a specific application scene is demonstrated where patient’s family member carry out psychological counseling for the patient, to verify the practicability and validity of the system. The beneficial effects of this system can meet the needs of the electronic market and can be promoted and popularized. [ABSTRACT FROM AUTHOR]

Rationale: Task-state and resting-state functional magnetic resonance imaging (fMRI) studies have revealed different brain responses in chronic cigarette smokers compared with healthy controls. However, little is known about the differences between chronic cigarette smokers and healthy subjects regarding the local synchronization of spontaneous brain activity in the resting state. Objectives: In this study, we used regional homogeneity (ReHo) analysis based on resting-state fMRI to investigate intrinsic brain activity in heavy smokers. Methods: Thirty-one heavy smokers and 33 healthy non-smokers were included in this study. ReHo was used to measure spontaneous brain activity, and whole-brain voxel-wise comparisons of ReHo were performed to detect brain regions with altered spontaneous brain activity between groups. Results: Compared with non-smokers, heavy smokers showed decreased ReHo primarily in brain regions associated with the default-mode, frontoparietal attention, and inhibitory control networks; heavy smokers showed increased ReHo predominately in regions related to motor planning. Conclusions: Our results suggest that heavy smokers may have altered spontaneous brain activity in some brain regions that are associated with higher cognitive networks. Moreover, our study improves the understanding of the effects of chronic cigarette smoking on spontaneous brain activity and the pathophysiological mechanisms of nicotine dependence. [ABSTRACT FROM AUTHOR]

Accurate measurements of the three-dimensional structure characteristics of urban buildings and their greenhouse effect are important for evaluating the impact of urbanization on the radiation energy budget and research on the urban heat island (UHI) effect. The decrease in evapotranspiration or the increase in sensible heat caused by urbanization is considered to be the main cause of the UHI effect, but little is known about the influence of the main factor "net radiant flux" of the urban surface heat balance. In this study, experimental observation and quantitative model simulation were used to find that with the increase of building surface area after urbanization, the direct solar radiation flux and net radiation flux on building surface areas changed significantly. In order to accurately quantify the relationship between the positive and negative effects, this study puts forward the equivalent calculation principle of "aggregation element", which is composed of a building's sunny face and its shadow face, and the algorithm of the contribution of the area to thermal effect. This research clarifies the greenhouse effect of a building with walls of glass windows. Research shows that when the difference between absorption rates of a concrete wall and grass is −0.21, the cooling effect is shown. In the case of concrete walls with glass windows, the difference between absorption rates of a building wall and grass is −0.11, which is also a cooling effect. The greenhouse effect value of a building with glass windows reduces the cooling effect value to 56% of the effect of a building with concrete walls. The simulation of changes in net radiant flux and flux density shows that the greenhouse effect of a 5-story building with windows yields 15.5% less cooling effect than one with concrete walls, and a 30-story building with windows reduces the cooling effect by 23.0%. The simulation results confirmed that the difference in the equivalent absorption rate of the aggregation element is the "director" of cooling and heating effects, and the area of the aggregation element is the "amplifier" of cooling and heating effects. At the same time, the simulation results prove the greenhouse effect of glass windows, which significantly reduces the cold effect of concrete wall buildings. The model reveals the real contribution of optimized urban design to mitigating UHI and building a comfortable environment where there is no atmospheric circulation. [ABSTRACT FROM AUTHOR]

The Yangtze River Economic Belt (YREB) is an important strategic area in China. However, frequent extreme precipitation events have caused great economic losses and human casualties in this region. In this article, we explore the spatial and temporal links between extreme precipitation events and Sunspot Number (SSN), El Niño Southern Oscillation (ENSO), Arctic Oscillation (AO) and Pacific Decadal Oscillation (PDO) in this important economic belt. According to the research findings, all of the extreme precipitation indices (EPIs) except for consecutive dry days (CDD) and consecutive wet days (CWD) showed an upward trend in the YREB over the 59 years. The spatial distributions of very wet days (R95p), extremely wet days (R99p), max 1-day precipitation amount (Rx1day) and max 5-day precipitation amount (Rx5day) had similar distribution patterns, showing decreasing trends from east to west. The EPIs generally had a 2–4-year band, suggesting stronger and more elusive changes. The wavelet coherence (WTC) spectra suggested that SSN, ENSO, AO, and PDO have different effects on extreme precipitation events during different time periods. Before 1985, the SSN, ENSO, AO, PDO and extreme precipitation events shared similar oscillation periods, but after 1985, their oscillation periods were no longer consistent with each other. In addition, solar activity and the AO mainly had negative correlations with extreme precipitation events, while the ENSO and PDO had predominantly positive correlations with the EPIs. This paper provides a reference for national economic strategic planning and natural resource management in the YREB. [ABSTRACT FROM AUTHOR]

The concentration of uranium in the rock sample was 35.0 μg/g, the concentration ratio of CO2 and O2 injected was 1:1, the autoclaves pressure was 0.02 MPa. The uranium leaching rate varied from 28.70 to 37.97%, and when the concentration of HCO3− is lower, the output rate of U is significantly increased as it increases, when its concentration exceeds the threshold value, U’s output concentration is no longer infinitely increased. Calcite and dolomite were saturated and precipitated during the leaching process due to the high initial pH; with the injection of CO2, calcite and dolomite remained near- or under-saturated and did not precipitate. [ABSTRACT FROM AUTHOR]

Arg-1Ym-1 M2-type macrophages play essential roles in the development of choroidal neovascularization (CNV). Thus, inhibition of M2-type macrophages may be effective in suppressing CNV. However, the potential mechanisms of macrophage polarization during development of CNV remain unclear. In this study, we report that microRNA-155 (miR-155) inhibited M2 polarization by targeting C/EBPβ in CNV model mice and in bone marrow-derived primary macrophages. Moreover, our data show that intravitreous injection of miR-155 mimics suppressed subretinal leakage and neovascularization. Therefore, we conclude that C/EBPβ plays a significant role in M2 macrophage polarization in CNV model, while miR-155 mimics could suppress CNV by inhibiting C/EBPβ activity and M2 macrophage polarization. [ABSTRACT FROM AUTHOR]