Using hydrochars as template, TiO2 photocatalysts were prepared by the sol-gel method. The samples were characterized with X-ray diffraction (XRD), Fourier infrared spectrum (FT-IR), scanning electron microscope (SEM) and BET specific surface area measurement. The photocatalytic activity was investigated by degradation of methyl orange (MO) as target pollutant in the solution. The results showed that HTC-TiO2 remained anatase type at high calcination temperature due to the higher thermal stability than TiO2. The TiO2 particles were almost uniformly dispersed on the surface of HTC. HTC-TiO2 had smaller crystal sizes, bigger specific surface area and the flake structure, which had the same structure character as the hydrochars micro-structure and was beneficial to improve the photocatalytic activity. The degradation rate of MO under 550 W iodine-tungsten lamp illumination for 2 hours was 40.6% in presence of HTC-TiO2 calcined at 450ºC, which increased by 1.5 times more than those in presence of TiO2 (16.2%).
In order to analyze arrhythmia, a noval practical method was proposed. Here the pRRx serials (x ranged from 1 to 100 ms) extracted from ECG data were taken as fundamental signals. There were obvious differences in distribution of the pRRx serials between 20 people with normal arrhythmia (group I) and 20 patients with arrhythmia (group II). By analyzing the linear indexes and nonlinear indexes of pRRx serials, the computed results show that there are significant statistical differences between the two groups. The linear indexes (AVRR, rMSSD, SDSD) are very different (P<0.001). The nonlinear indexes, from the entropy measures (Sdh, Sph, Spf) and the fractal dimension measures (Dsf, Dcf, Dvm, Drms), also maintain apparent differences (P<0.001). Therefore, the proposed pRRx-serial analysis can characterize the linearity and nonlinearity of the cardiac system to some extent, and can be effective in recognizing the arrhythmia and even heart-related diseases.
The authors systematically identify and classify land use functions based on the system theory, and then construct the multi-scale and multi-level evaluation index system of land use functions from three aspects of economy, society and ecology from the perspective of patch scale. A preliminary attempt is made to obtain and spatialize index data. The results show that land use functions has multiple levels and regional characteristics, corresponding classification and evaluation index system should be established according to different regional background and research scale. Land use functions are related to land use structures, and its evaluation scale is extended to the micro-scale, which is helpful to expand the scope and enrich content of the study of land use functions.
Based on Meta-analysis, the ecosystem service value regression models for cultivated land, forest land, pasture, garden land, waters and unused land were established respectively. In addition to time and value method, the geographical division and socio-economic factors (including population density and GDP per capita) were also incorporated into the models. The performance of model indicates that these factors play a significant role in explaining ecosystem service value change. Using value transfer approach, the authors valued ecosystem service of land use types in Beijing, Tianjin, and 11 cities in Hebei Province. The results show that land use types ranked by ecosystem service value are waters, forest land, pasture, garden land, cultivated land and unused land. The ecosystem service values per unit area of cultivated land, forest land, pasture, garden land and water area in Beijing and Tianjin are more than other areas. The research results on the one hand can enrich the methodology and technology of ecosystem service valuation, on the other hand provide scientific support for land use sustainable management in study area.
Highly purified semiconducting carbon nanotube (CNT) thin films and graphene are used to fabricate hybrid photodetector. The results indicate that the hot carriers generated in graphene can tunnel into bottom CNT film through nanometer thick silicon film when illuminated. As a result, electrons and holes are accumulated at separated side of the silicon layer, resulting in a modulation of the current in the CNT film transistor due to the photogating effect. The photodetector shows a responsivity of 83 mA/W for visible light (633 nm) and a good response within the near-infrared range. Such CNT film-graphene photodetector, taking advantages of both broadband absorption of graphene and small dark current of semiconducting CNTs, paves the way to future high performance infrared photodetectors.
For better understanding the global trend in wastewater resource recovery and reflecting major nation’s scientific capability and influences on the world’s science community in the field, a bibliometric analysis was conducted using the literatures in the Science Citation Index (SCI) database during the period 1995–2014. Results indicate that: 1) among all articles included by the SCI, water recovery from wastewaters account for the largest percentage with 72.0% of all related research fields. 2) The mainly involved subject areas are Environmental Sciences, Engineering Environmental, Water Resources, Engineering Chemical, Biotechnology Applied Microbiology, and so on. The number of the Environmental Sciences articles has the largest annual growth. 3) The topranked countries of both the total number of articles and the average impact factor are USA, Spain, and India. However, China has the fastest growth rate of publishing articles only. 4) Three research institute including University of California System, India Institute of Technology, and Consejo Superior De Investigaciones Cientificas are the most abundant research institutes in this field. The Chinese Academy of Sciences and Tsinghua University were the two toppest institutions in China that have advance its international influence in recent years.
This paper proposes a method to construct Bilingual Movie Knowledge Graph (BMKG). The authors first builds Bilingual Movie Ontology (BMO) through a semi-automatic way, and aligns each data source with it in order to ensure semantic consistency of heterogeneous data sources. For entity linking, the proposed method makes best use of the field characteristics and calculate entity similarity based on both Word2Vec and TFIDF models, which greatly improve entity linking. For entity matching, a similarity flooding based algorithm is proposed, which utilizes the intrinsic links between the movie data sources, addressing the problem of similarity computation between cross-lingual entities. The experiment results show that the entity matching precision is over 90% when the threshold is above 0.75. In addition, a movie knowledge graph sharing platform is also built to provide open data access and query interface.