160 research outputs found

    sj-docx-1-tan-10.1177_17562864231187194 – Supplemental material for Prevalence and risk factors of anxiety and depression in adult patients with epilepsy: a multicenter survey-based study

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    Supplemental material, sj-docx-1-tan-10.1177_17562864231187194 for Prevalence and risk factors of anxiety and depression in adult patients with epilepsy: a multicenter survey-based study by Wenyan Shi, Hanlin Sun, Wei Peng, Ziyi Chen, Qun Wang, Weihong Lin, Meiping Ding, Hongbin Sun, Xiangqing Wang, Tiancheng Wang, Xuefeng Wang, Yonghong Liu, Yangmei Chen, Guoxing Zhu, Dong Zhou and Jinmei Li in Therapeutic Advances in Neurological Disorders</p

    Toxicity of TiO2 nanoparticles to Escherichia coli: effects of particle size, crystal phase and water chemistry.

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    Controversial and inconsistent results on the eco-toxicity of TiO2 nanoparticles (NPs) are commonly found in recorded studies and more experimental works are therefore warranted to elucidate the nanotoxicity and its underlying precise mechanisms. Toxicities of five types of TiO2 NPs with different particle sizes (10∼50 nm) and crystal phases were investigated using Escherichia coli as a test organism. The effect of water chemistry on the nanotoxicity was also examined. The antibacterial effects of TiO2 NPs as revealed by dose-effect experiments decreased with increasing particle size and rutile content of the TiO2 NPs. More bacteria could survive at higher solution pH (5.0-10.0) and ionic strength (50-200 mg L(-1) NaCl) as affected by the anatase TiO2 NPs. The TiO2 NPs with anatase crystal structure and smaller particle size produced higher content of intracellular reactive oxygen species and malondialdehyde, in line with their greater antibacterial effect. Transmission electron microscopic observations showed the concentration buildup of the anatase TiO2 NPs especially those with smaller particle sizes on the cell surfaces, leading to membrane damage and internalization. These research results will shed new light on the understanding of ecological effects of TiO2 NPs

    Advances in Hyperspectral Data Exploitation

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    Using hyperspectral imaging (HSI) to exploit data has been found in a wide variety of applications. This reprint book only presents a small glimpse of it. Many other important applications using HSI which have emerged in data exploitation are not covered in this reprint book. For example, such applications may include water pollution and toxic waste in environmental monitoring, pesticide residual detection in food safety and inspection, plant and crop disease detection in agriculture, tumor detection and breast cancer detection in medical imaging, drug traffic in law enforcement, etc. Nevertheless, this reprint book provides many techniques which may find their ways in these applications as well

    Distributed Beamforming for Relay Assisted Multiuser Machine-to-Machine Networks

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    We consider signal transmission with the aid of multiple half-duplex single-antenna relay nodes using the amplify-and-forward (AF) strategy for a multiuser wireless machine-to-machine (M2M) communication system. In such a scenario, relay beamforming has been proved to be an effective way to improve system performance by employing spatial diversity gains. Early works have mostly focused on various centralized relay beamforming schemes based on global channel state information (CSI). Since global CSI is often unavailable due to geometric locations, power limitation, or other constraints of the relay nodes in M2M networks, our work aims to develop distributed algorithms that each relay node individually learns its own beamforming weights with local CSI. We propose two suboptimal relay beamforming schemes that only require local CSI to minimize mean square error (MSE) for all the users with nonorthogonal channels. For multiuser systems with orthogonal channels, we divide the optimization problem into multiple single user problems which then can be solved by each relay independently. Numerical simulations for the proposed algorithms are presented showing the performance of the proposed schemes is close to that of the optimal scheme with global CSI in terms of bit error rate (BER) criterion

    Variation and Influencing Factors of Cloud Characteristics over Qinghai Lake from 2006 to 2019

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    Clouds are an indispensable part of climate change, and the occurrence and development of clouds in the Qinghai Lake area (QHL) have great significance for the regional energy budget and precipitation system. To a certain extent, clouds will affect the water resources, agriculture, animal husbandry, and photovoltaic power industry in this region. In this study, we used CloudSat satellite data, combined with meteorological elements and atmospheric circulation, to analyze the cloud occurrence frequency and cloud water content in QHL. The results demonstrate that the frequency of cloud occurrences in QHL is 33% with a decreasing trend from 2006 to 2019. Altostratus and Nimbostratus are the main types of cloud systems in QHL. The cloud ice water content is 62.21 mg/m3 and the cloud liquid water content is 261.66 mg/m3. The highest value of the vertical cloud fraction occurs from March to June, at a height of 7&ndash;11 km in QHL. The height of the mixed-phase clouds is approximately 4&ndash;8 km and the ice clouds are above 8 km. The vertical distribution of ice particles is relatively dispersed, while the vertical distribution of liquid particles is relatively concentrated. The time and height of high particle effective radius and high particle concentration are consistent with the high value of cloud water content. The decrease in total cloud occurrence frequency in QHL is caused by the increase in temperature. This study helps to clarify the detailed structure of clouds and the distribution of cloud water resources, which has an important reference value for the study of climate change impact and the sustainable development of lake resources in QHL
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