880 research outputs found

    Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge

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    Memes on the Internet are often harmless and sometimes amusing. However, by using certain types of images, text, or combinations of both, the seemingly harmless meme becomes a multimodal type of hate speech -- a hateful meme. The Hateful Memes Challenge is a first-of-its-kind competition which focuses on detecting hate speech in multimodal memes and it proposes a new data set containing 10,000+ new examples of multimodal content. We utilize VisualBERT -- which meant to be the BERT of vision and language -- that was trained multimodally on images and captions and apply Ensemble Learning. Our approach achieves 0.811 AUROC with an accuracy of 0.765 on the challenge test set and placed third out of 3,173 participants in the Hateful Memes Challenge.Comment: Presented at NeurIPS (2020

    Use of attenuated total reflectance—Fourier transform infrared (ATR-FTIR) spectroscopy in combination with multivariate methods for the rapid determination of the adulteration of grape, carob and mulberry PEKmez

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    Pekmez, a traditional Turkish food generally produced by concentration of fruit juices, is subjected to fraudulent activities like many other foodstuffs. This study reports the use of Fourier transform infrared spectroscopy (FTIR) in combination with chemometric methods for the detection of fraudulent addition of glucose syrup to traditional grape, carob and mulberry pekmez. FTIR spectra of samples were taken in mid-infrared (MIR) range of 400–4000 cm?1 using attenuated total reflectance (ATR) sample accessory. Partial least squares-discriminant analysis (PLS-DA) and PLS chemometric methods were built for qualitative and quantitative analysis of pekmez samples, respectively. PLS-DA models were successfully used for the discrimination of pure pekmez samples and the adulterated pekmez samples with glucose syrup. Sensitivity and specificity of 100%, and model efficiency of 100% were obtained in PLS-DA models for all pekmez groups. Detection of the adulteration ratio of pekmez samples was also accomplished using ATR-FTIR spectroscopy in combination with PLS. As a result, it was shown that ATR-FTIR spectroscopy along with chemometric methods had a great potential for determination of pekmez adulteration with glucose syrup. © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)

    Mathematical models for use in planning regional water resources and energy systems

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    Existing and projected energy facilities will, in the near future, place major demands on the country's water resources. These demands compete with many other uses of the resources, including municipal and industrial uses, navigation, irrigation, and water quality maintenance. The possible development of coal conversion facilities presents another potential water demand. Complex public sector problems such as: 1) the extent and development of coal conversion capacity, 2) interbasin transfer of water, 3) cooling technologies for large energy facilities, 4) diversion of Lake Michigan water, and 5) allowable withdrawal and consumptive uses of river water, all arise from the interlocking nature of the water resources-energy system. Although mathematical models cannot solve these problems directly, they can be useful in gaining insight into major issues associated with policy alternatives. With the aid of such models, quantitative trends such as costs and water development patterns associated with each decision alternative can be more readily identified. In this report, mathematical models are presented for use in planning a regional allocation of water for energy facilities as well as for other water uses. These models include components for the interrelated water and energy subsystems. The use of these models in conjunction with other existing models in order to provide a better picture of the overall system is discussed. Since the models use widely available computer codes, they are practical and easy to utilize. Example applications are presented, with a discussion of computational results.U.S. Geological SurveyU.S. Department of the InteriorOpe

    Effects of Harbor Shape on the Induced Sedimentation; L-Type Basin

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    Tsunamis in shallow water zones lead to sea water level rise and fall, strong currents, forces (drag, impact, uplift, etc.), morphological changes (erosion, deposition), dynamic water pressure, as well as resonant oscillations. As a result, ground materials under the tsunami motion move, and scour/erosion/deposition patterns can be observed in the region. Ports and harbors as enclosed basins are the main examples of coastal structures that usually encounter natural hazards with small or huge damaging scales. Morphological changes are one of the important phenomena in the basins under short and long wave attack. Tsunamis as long waves lead to sedimentation in the basins, and therefore, in this study, the relation to the current pattern is noticed to determine sedimentation modes. Accordingly, we present a methodology based on the computation of the instantaneous Rouse number to investigate the tsunami motion and to calculate the respective sedimentation. This study aims to investigate the effects of the incident wave period on an L-type harbor sedimentation with a flat bathymetry using a numerical tool, NAMI DANCE, which solves non-linear shallow water equations. The results showed that the corner points on the bending part of the basin are always the critical points where water surface elevation and current velocity amplify in the exterior and interior corners, respectively

    Anti-gout potential of selected Malaysian local fruits

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    This study aimed to investigate the in vitro xanthine oxidase (XO) inhibitory activity and phytochemical content of guava, water rose apple, Malay gooseberry, pineapple and ambarella. The xanthine oxidase inhibitory activity was measured spectrophotometrically at 295 nm. The phytochemical analysis tested were total phenolic, total flavonoid and total anthocyanin contents of each methanolic extract of the fruits. The highest amount of phenolic was found in ambarella (0.245 mg GAE/g) while guava had the highest amount of flavonoid (0.472 mg RE/g). Meanwhile, water rose apple had the highest anthocyanin content (5.001 mg c-3-gE/g). For the XO inhibitory activity, water rose apple displayed the lowest IC50 value (26.86 μg/mL), showing better anti-gout activity as compared to that of other fruit samples. Positive correlation between total phenolic content and XO inhibitory activity was also observed in this study. Further study on the isolation of bioactive compounds from the fruit samples that act as XO inhibitor is greatly needed in the future

    Simultaneous Lipid Production and Valorization of Crude Glycerol by Mixotrophic and Heterotrophic Cultivation of Arthrospira platensis

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    850-857This study investigates the possible use of crude glycerol as external carbon source for mixotrophic and heterotrophic cultivation of Arthrospira platensis for the purpose of producing lipid. Recently, biodiesel has become a remarkable biofuel while cyanobacterial lipid is an alternative feedstock for biodiesel production. In this study effect of carbon source concentration, trophic culture type on production of biomass, chlorophyll, protein, total carbohydrate and lipid were examined. In terms of total lipid content, the highest value was detected as 5.78 ± 0.21 mg/g cell with 10 mM crude glycerol in mixotrophic cultivation on 18th day. Higher specific growth rates were detected in mixotrophic cultures. The fatty acid composition was detected by gas chromatography. The produced lipid had the basic fatty acids for a quality biodiesel production — palmitic, stearic, oleic and linoleic acids. The biodiesel potential of produced lipid was investigated. The indicator of oxidative stability of the fuel, iodine value was in accordance with UNE-EN 14214. Cetane number and oxidative stability are related to productive combustion characteristics of fuel which comply with ASTM 6751 standards. These results show that the fatty acid composition of the produced lipid, from a waste material via economical fermentation, is suitable for a qualitative fuel production

    Simultaneous Lipid Production and Valorization of Crude Glycerol by Mixotrophic and Heterotrophic Cultivation of Arthrospira platensis

    Get PDF
    This study investigates the possible use of crude glycerol as external carbon source for mixotrophic and heterotrophic cultivation of Arthrospira platensis for the purpose of producing lipid. Recently, biodiesel has become a remarkable biofuel while cyanobacterial lipid is an alternative feedstock for biodiesel production. In this study effect of carbon source concentration, trophic culture type on production of biomass, chlorophyll, protein, total carbohydrate and lipid were examined. In terms of total lipid content, the highest value was detected as 5.78 ± 0.21 mg/g cell with 10 mM crude glycerol in mixotrophic cultivation on 18th day. Higher specific growth rates were detected in mixotrophic cultures. The fatty acid composition was detected by gas chromatography. The produced lipid had the basic fatty acids for a quality biodiesel production — palmitic, stearic, oleic and linoleic acids. The biodiesel potential of produced lipid was investigated. The indicator of oxidative stability of the fuel, iodine value was in accordance with UNE-EN 14214. Cetane number and oxidative stability are related to productive combustion characteristics of fuel which comply with ASTM 6751 standards. These results show that the fatty acid composition of the produced lipid, from a waste material via economical fermentation, is suitable for a qualitative fuel production

    Protective effect of thymoquinone on smoking-induced vascular damage: An experimental study in rats

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    Aim: To investigate the protective effect of thymoquinone on smoking-induced vascular damage in rats. Method: A total of 28 rats were allocated in this experimental study. Rats were equally divided in four groups; as control group (n=7) and study groups including only smoking group (n=7), smoking plus thymoquinone group (n=7) and smoking plus dexamethasone group (n=7). The animals in study groups were subjected to regular cigarette smoke exposure during 2 months, hereby smoking-induced vascular injury model was established in the animals. The thoracic aorta of the animals were surgically resected and then evaluated histopathologically. The prepared aortic tissue samples were analyzed under light microscope in terms of thickness of aortic wall, endothelial continuity and injury as well as degenerative alterations on the endothelium. Results: Mean aortic wall thicknesses were 77.8 and 114.5 μ in only smoking group and smoking plus thymoquinone group respectively, and this difference was statistically significant. In only smoking group partial endothelial damage and complete endothelial damage were observed in 2 and 4 animals respectively whereas in smoking plus thymoquinone group no endothelial damage and partial endothelial damage were observed in 2 and 4 animals respectively. When these groups were compared in terms of endothelial damage, the difference was detected to be statistically significant. Conclusion: Our study demonstrates that thymoquinone has a protective effect on rat endothelium and alleviates the smoking-induced vascular damage in rats

    Arteries get confused: an arch variation

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    We present a case of an arch anomaly in a 54-year-old female who was admitted to our hospital for magnetic resonance angiography (MRA) to evaluate her right-sided numbness. MRA revealed a truncus bicaroticus, right common carotid artery (CCA) originating right vertebral artery, right subclavian artery arising as the final branch of the descending aortic arch and arch originating left vertebral artery. The possible embryologic mechanism and clinical importance of this previously unreported variant are reviewed

    Database for CO2 separation performances of MOFs based on computational materials screening

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    Metal-organic frameworks (MOFs) are potential adsorbents for CO2 capture. Because thousands of MOFs exist, computational studies become very useful in identifying the top performing materials for target applications in a time-effective manner. In this study, molecular simulations were performed to screen the MOF database to identify the best materials for CO2 separation from flue gas (CO2/N-2) and landfill gas (CO2/CH4) under realistic operating conditions. We validated the accuracy of our computational approach by comparing the simulation results for the CO2 uptakes, CO2/N-2 and CO2/CH4 selectivities of various types of MOFs with the available experimental data. Binary CO2/N-2 and CO2/CH4 mixture adsorption data were then calculated for the entire MOF database. These data were then used to predict selectivity, working capacity, regenerability, and separation potential of MOFs. The top performing MOF adsorbents that can separate CO2/N-2 and CO2/CH4 with high performance were identified. Molecular simulations for the adsorption of a ternary CO2/N-2/CH4 mixture were performed for these top materials to provide a more realistic performance assessment of MOF adsorbents. The structure-performance analysis showed that MOFs with Delta Q(st)(0) > 30 kJ/mol, 3.8 angstrom 1 g/cm(3) are the best candidates for selective separation of CO2 from flue gas and landfill gas. This information will be very useful to design novel MOFs exhibiting high CO2 separation potentials. Finally, an online, freely accessible database https://cosmoserc.ku.edu.tr was established, for the first time in the literature, which reports all of the computed adsorbent metrics of 3816 MOFs for CO2/N-2, CO2/CH4, and CO2/N-2/CH4 separations in addition to various structural properties of MOFs.European Research Counci
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