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Fumed SiO2-H2SO4-PVA Gel Electrolyte CO Electrochemical Gas Sensor

Yuhang Zhang, Dongliang Cheng, Zicheng Wu, Feihu Li, Fang Fang, Zili Zhan
2020 Chemosensors  
The effects of fumed SiO2 and H2SO4 contents on the performance of the CO gas sensor were investigated.  ...  In this paper, the application of a new fumed SiO2 gel electrolyte was studied in electrochemical gas sensors.  ...  Figure 4 . 4 Effect of fumed SiO2 content on the gelling time. Figure 4 . 4 Effect of fumed SiO 2 content on the gelling time.  ... 
doi:10.3390/chemosensors8040109 fatcat:34ekz66rc5ak3hbsnw4cu372tm

Influence of Silica Fume Content on Performance of High - Performance Concrete

Heng-Yuan Zhang, Xue-Ying Liu, Dan-Feng Wei, R. Weerasinghe, C. Fang
2021 E3S Web of Conferences  
The optimal silica fume content of HPC(Highperformance concrete) is 3% to 6%.  ...  The influence of different silica fume content on the slump, expansion, compressive strength and flexural strength of high-performance concrete was studied.  ...  When the content of silica fume is more than 9%, the fluidity is lower than when the silica fume is not added.  ... 
doi:10.1051/e3sconf/202123703039 fatcat:vz43zk235ragnm37dtznovzfri

Acute Decrease in HDL Cholesterol Associated With Exposure to Welding Fumes

Mary Berlik Rice, Jenn Cavallari, Shona Fang, David Christiani
2011 Journal of Occupational and Environmental Medicine  
Changes in Lipid Levels Following Welding Fume Exposure The mean effects (95% CI) of welding fume exposure on lipid levels the following morning are shown in Table 2 .  ...  Forty-seven of these were collected before and after exposure to metal fume and airborne fine particulate matter through electric manual metal arc welding and metal inert gas welding on mild and stainless  ... 
doi:10.1097/jom.0b013e3182028d20 pmid:21187793 pmcid:PMC3074942 fatcat:f35eqidwfretpfpyfnwq77ctta

Effect of polycarboxylate superplasticizer on fluidity and rheology of cement slurry containing silica fume

Qingen Meng, Juan He, Congmi Cheng, Xiaofen Zhu, R. Weerasinghe, C. Fang
2021 E3S Web of Conferences  
The effect of polycarboxylate superplasticizer on the fluidity and rheology of cement - silica fume - water paste was investigated.  ...  fume-water paste.  ...  the fluidity and rheology of cement-silica fume-water system was grasped.  ... 
doi:10.1051/e3sconf/202123703008 fatcat:cpprz5fkr5glvourpj5no5fkce

Study on the influence of fly ash and silica fume with different dosage on concrete strength

Yin-Le Guo, Xue-Ying Liu, Yue-Ping Hu, R. Weerasinghe, C. Fang
2021 E3S Web of Conferences  
Commonly used mineral admixtures include fly ash(FA) and silica fume(SF).  ...  the fluidity and strength of concrete is better than that of fly ash, and the main influence of silica fume is on the increase in strength.  ...  Figure 6 shows the double mixing of 10% fly ash and 6% silica fume, 10% fly ash and 10% silica fume, 20% fly ash and 8% silica fume, 30% fly ash and 6% silica Powder, 30% fly ash and 10% silica fume concrete  ... 
doi:10.1051/e3sconf/202123703038 fatcat:klascncbpjayjodod53ak756zq

Toenail Metal Concentration as a Biomarker of Occupational Welding Fume Exposure

Rachel Grashow, Jinming Zhang, Shona C. Fang, Marc G. Weisskopf, David C. Christiani, Jennifer M. Cavallari
2013 Journal of Occupational and Environmental Hygiene  
We sought to determine the correlation between toenail metal concentrations and prior 12 month work activity in welders with variable, metal-rich, welding fume exposures.  ...  In a population with variable exposure, toenails may serve as useful biomarkers for occupational metal fume exposures to Mn, Pb and Cd during distinct periods over the year prior to sample collection.  ...  Furthermore, union contracts can vary from one day to one year, adding additional variability to metal fume exposures.  ... 
doi:10.1080/15459624.2013.875182 pmid:24372360 pmcid:PMC4019688 fatcat:pukwy35c6zh5fcscd2tdtpygke

Impact of cooking oil fume exposure and fume extractor use on lung cancer risk in non-smoking Han Chinese women

Tzu-Yu Chen, Yao-Hwei Fang, Hui-Ling Chen, Chin-Hao Chang, Hsin Huang, Yi-Song Chen, Kuo-Meng Liao, Hsiao-Yu Wu, Gee-Chen Chang, Ying-Huang Tsai, Chih-Liang Wang, Yuh-Min Chen (+6 others)
2020 Scientific Reports  
Two indices, "cooking time-years" and "fume extractor use ratio," were developed.  ...  The former was used to explore the relationship between cumulative exposure to cooking oil fumes and lung cancer; the latter was used to assess the impact of fume extractor use for different ratio-of-use  ...  Abbreviations: COF, cooking oil fume.  ... 
doi:10.1038/s41598-020-63656-7 pmid:32317677 pmcid:PMC7174336 fatcat:oxlmopucpva55bgds5wndtnyw4

High-quality nonparallel voice conversion based on cycle-consistent adversarial network [article]

Fuming Fang, Junichi Yamagishi, Isao Echizen, Jaime Lorenzo-Trueba
2018 arXiv   pre-print
Although voice conversion (VC) algorithms have achieved remarkable success along with the development of machine learning, superior performance is still difficult to achieve when using nonparallel data. In this paper, we propose using a cycle-consistent adversarial network (CycleGAN) for nonparallel data-based VC training. A CycleGAN is a generative adversarial network (GAN) originally developed for unpaired image-to-image translation. A subjective evaluation of inter-gender conversion
more » ... ted that the proposed method significantly outperformed a method based on the Merlin open source neural network speech synthesis system (a parallel VC system adapted for our setup) and a GAN-based parallel VC system. This is the first research to show that the performance of a nonparallel VC method can exceed that of state-of-the-art parallel VC methods.
arXiv:1804.00425v1 fatcat:kgw4ux5345hgtdzoq6axqaka5i

Synthesis of Si3N4 powder with tunable α/β-Si3N4 content from waste silica fume using carbothermal reduction nitridation

Haipeng Ji, Zhaohui Huang, Kai Chen, Wenjuan Li, Yuanfei Gao, Minghao Fang, Yan-gai Liu, Xiaowen Wu
2014 Powder Technology  
Fabrication of α-Si 3 N 4 /β-Si 3 N 4 from waste silica fume by CRN was achieved at temperatures as low as 1400°C.  ...  The effects of the carbon source, CRN temperature and raw materials ratio (Carbon-to-Silica fume) on phase assembly and micro-morphology of the products were investigated.  ...  an abundant reserve of silica fume.  ... 
doi:10.1016/j.powtec.2013.10.030 fatcat:4i2d2z4gq5bnpd72u2lmjmzuki

Exposure to cooking oil fumes and chronic bronchitis in nonsmoking women aged 40 years and over: a health-care based study

Huang-Chi Chen, Chia-Fang Wu, Inn-Wen Chong, Ming-Tsang Wu
2018 BMC Public Health  
fumes (COFs) on the development of non-malignant respiratory diseases in nonsmoking women.  ...  Exposure to cooking oil fumes and chronic bronchitis in nonsmoking women aged 40 years and over: a health-care based study Abstract Background: Little is known about the effect of exposure to cooking oil  ...  are available in the Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan, at https://envmed.kmu.edu.tw/index.php/en-GB/datarepository/168-exposure-to-cooking-oil-fumes-and-chronic-bronchitis-innonsmoking-women-aged  ... 
doi:10.1186/s12889-018-5146-x pmid:29439699 pmcid:PMC5812191 fatcat:hn5sttzqfvhtxpsetbeeb4zrfe

Mechanical Properties of Concrete Pipes with Pre-Existing Cracks

Zongyuan Zhang, Hongyuan Fang, Bin Li, and Fuming Wang
2020 Applied Sciences  
Concrete pipes are the most widely used municipal drainage pipes in China. When concrete pipes fall into years of disrepair, numerous problems appear. As one of the most common problems of concrete pipes, cracks impact on the deterioration of mechanical properties of pipes, which cannot be ignored. In the current work, normal concrete pipes and those with pre-existing cracks are tested on a full scale under an external compressive load. The effects of the length, depth, and location of cracks
more » ... the bearing capacity and mechanical properties of the concrete pipes are quantitatively analyzed. Based on the full-scale tests, three-dimensional finite element models of normal and cracked concrete pipes are developed, and the measured results are compared with the data of the finite element analysis. It is clear that the test measurements are in good agreement with the simulation results; the bearing capacity of a concrete pipe is inversely proportional to the length and depth of the crack, and the maximum circumferential strain of the pipe occurs at the location of the crack. The strain of the concrete pipe also reveals three stages of elasticity, plasticity, and failure as the external load rises. Finally, when the load series reaches the limit of the failure load of the concrete pipe with pre-existing cracks, the pipe breaks along the crack position.
doi:10.3390/app10041545 fatcat:3r6x4lfenfg5fbwyc56p5xds2i

A Method for Identifying Origin of Digital Images Using a Convolution Neural Network [article]

Rong Huang, Fuming Fang, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
2019 arXiv   pre-print
The rapid development of deep learning techniques has created new challenges in identifying the origin of digital images because generative adversarial networks and variational autoencoders can create plausible digital images whose contents are not present in natural scenes. In this paper, we consider the origin that can be broken down into three categories: natural photographic image (NPI), computer generated graphic (CGG), and deep network generated image (DGI). A method is presented for
more » ... tively identifying the origin of digital images that is based on a convolutional neural network (CNN) and uses a local-to-global framework to reduce training complexity. By feeding labeled data, the CNN is trained to predict the origin of local patches cropped from an image. The origin of the full-size image is then determined by majority voting. Unlike previous forensic methods, the CNN takes the raw pixels as input without the aid of "residual map". Experimental results revealed that not only the high-frequency components but also the middle-frequency ones contribute to origin identification. The proposed method achieved up to 95.21% identification accuracy and behaved robustly against several common post-processing operations including JPEG compression, scaling, geometric transformation, and contrast stretching. The quantitative results demonstrate that the proposed method is more effective than handcrafted feature-based methods.
arXiv:1911.00655v1 fatcat:aagsre5iazejzox7xqhxstprpi

Protection by Quercetin Against Cooking Oil Fumes-Induced DNA Damage in Human Lung Adenocarcinoma CL-3 Cells: Role of COX-2

Shwu-Yuann Lin, Shun-Jen Tsai, Lien-Hui Wang, Ming-Fang Wu, Huei Lee
2002 Nutrition and Cancer  
Epidemiological studies have shown that the incidence of lung cancer was associated with exposure to cooking oil fumes (COF) in nonsmoking Taiwanese women.  ...  Figure 1 . 1 Effect of quercetin on cytochrome P-450 1A1 (CYP1A1) mRNA levels induced by cooking oil fumes (COF) in CL-3 cells.  ...  Recently, acetaldehyde (a component of oil fumes) (31) enhanced DNA binding of NF-kB and activator protein-1 in Hep G2 cells (32) .  ... 
doi:10.1207/s15327914nc441_13 pmid:12672646 fatcat:hub2tahjbfbv7ksvswlrwaeyvy

Electrooculography-based continuous eye-writing recognition system for efficient assistive communication systems

Fuming Fang, Takahiro Shinozaki, Stefano Federici
2018 PLoS ONE  
(ZIP) Author Contributions Conceptualization: Fuming Fang, Takahiro Shinozaki. Data curation: Fuming Fang, Takahiro Shinozaki. Formal analysis: Fuming Fang, Takahiro Shinozaki.  ...  Investigation: Fuming Fang, Takahiro Shinozaki. Methodology: Fuming Fang, Takahiro Shinozaki. Fig 2.An example of a raw EOG signal and the corresponding processed signal.  ... 
doi:10.1371/journal.pone.0192684 pmid:29425248 pmcid:PMC5806888 fatcat:4pgo67ozubhlvgo6ttaxll3hpq

Security of Facial Forensics Models Against Adversarial Attacks [article]

Rong Huang, Fuming Fang, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen
2020 arXiv   pre-print
Deep neural networks (DNNs) have been used in digital forensics to identify fake facial images. We investigated several DNN-based forgery forensics models (FFMs) to examine whether they are secure against adversarial attacks. We experimentally demonstrated the existence of individual adversarial perturbations (IAPs) and universal adversarial perturbations (UAPs) that can lead a well-performed FFM to misbehave. Based on iterative procedure, gradient information is used to generate two kinds of
more » ... Ps that can be used to fabricate classification and segmentation outputs. In contrast, UAPs are generated on the basis of over-firing. We designed a new objective function that encourages neurons to over-fire, which makes UAP generation feasible even without using training data. Experiments demonstrated the transferability of UAPs across unseen datasets and unseen FFMs. Moreover, we conducted subjective assessment for imperceptibility of the adversarial perturbations, revealing that the crafted UAPs are visually negligible. These findings provide a baseline for evaluating the adversarial security of FFMs.
arXiv:1911.00660v2 fatcat:wju34mhrtjegblb2wv3kp4wtie
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