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Review on the Usage of Deep Learning Models in Multi-modal Sentiment Analysis
Naga Durga Saile K,Venkatramaphanikumar S,Venkata Krishna Kishore K,Debnath Bhattacharyya 대한전자공학회 2020 IEIE Transactions on Smart Processing & Computing Vol.9 No.6
In recent years, Sentiment Analysis is reshaping the business operations of many organizations by monitoring their brand reputation on social media and acquiring insights from customer"s feedback. Sentiment Analysis is one of the classification tools that identifies and extracts the subjective information of a product. This subjective information can be stated in different ways, such as feedback, discussions, blogs, podcasts, and video logs. This type of information generated by the empowered customers is known as user-generated content, which is traditionally in the form of words. The analysis was performed on a huge number of words using Natural Language Processing (NLP), which is a Unimodal Sentiment Analysis. With the rapid growth in the usage of the Internet, social media turned out to be a platform to share the thoughts of the individuals. This caused researchers to migrate from the traditional Unimodal analysis to Multimodal Sentiment Analysis, which includes video, audio, and images. This approach leverages the use of emotion and content and helps identify the scope and polarity of an individual’s sentiment. With the latest deep learning algorithms, Multimodal Sentiment Analysis can solve the problem of sarcasm identification. Multi-Modal Sentiment Analysis generates more accurate results compared to Uni Modal Sentiment Analysis. Therefore, this study aimed to define Sentiment Analysis and review the approaches and techniques in Sentiment Analysis from conventional Unimodal to Multimodal. In addition, this paper discusses a Multimodal Sentiment Analysis architecture using a transformers attention net.
The effect of phosphate corrosion inhibitor on steel in synthetic concrete solutions
Sail, L.,Ghomari, F.,Khelidj, A.,Bezzar, A.,Benali, O. Techno-Press 2013 Advances in materials research Vol.2 No.3
The study of the corrosion inhibition of armatures made of steel conceived for reinforced concrete by sodium phosphate is the aim object of our experimental tests. Gravimetric and electrochemical measurements were carried in three different Mediums contaminated by chlorides (3% NaCl) with addition of increasing concentrations of sodium phosphate. Inhibitory efficiency reached 80% at an optimal concentration of $7,5{\times}10^{-3}M$, the results obtained using the gravimetric measurements are in good agreement with those obtained by electrochemical methods. However, the monitoring of the pH evolution after 24h shows in the three studied environments, that the pH decreases slightly at 24 hours from the initial pH at $t_0$, due to the presence of corrosion products which change the state of the final solution. Also, scanning electron microscopy revealed the existence of layers of apatite on the metal surface previously treated with the sodium phosphate which confirms the formation of a protective film around the surface of the metal.
VKORC1 and CYP2C9 Genotype Variations in Relation to Warfarin Dosing in Korean StrokePatients
Sea Mi Park,이종극,Sail Chun,Hae In Lee,Sun U. Kwon,Dong-Wha Kang,Jong S. Kim 대한뇌졸중학회 2013 Journal of stroke Vol.15 No.2
Background and Purpose Variant alleles of CYP2C9 and VKORC1 account for differences in anticoagulation response. We sought to establish a warfarin dosing formula for individualized target International Normalization Ratio of Prothrombin Times (INRs) using data from single nucleotide polymorphisms (SNPs) in VKORC1 and CYP2C9 in Korean patients. Methods Ischemic stroke patients displaying stable target INR for at least 3 months before enrollment were analyzed. Warfarin and vitamin K levels were measured to adjust for confounders. Phenotypes were defined using the ’warfarin response index’ (WRI) defined as INR divided by the daily maintenance warfarin dose. We tested SNPs in CYP2C9 (3 sites: 430C>T (rs1799853), 1075A>C (rs1057910), 1076T>C) and VKORC1 (14 sites: 381C>T, 861C>A (rs17880887), 2653G>C, 3673A>G, 5496G>T, 5808T>G (r17882154), 6009C>T, 6484T>C (rs9934438), 6853C>T (rs17886369), 7566T>C, 8767G>C, 8814T>C, 9041G>A (rs17880624),and 9071G>T) using a standard sequencing method. Multivariate linear regression analysis was applied to establish the formula for warfarin dosage. Results All 204 patients had excellent drug compliance. The mean INR was 2.22 (+0.56)and mean daily maintenance dose of warfarin was 3.92 mg (+1.54). Patients with low WRI were younger (P<0.001) with high body mass index (P=0.003), high prevalence of wildtype CYP2C9 polymorphism (1075A>C, P<0.001), and six heterozygote SNPs in VRORC1(P<0.001), which were tightly interlinked (381T>C, 3673G>A, 6484T>C, 6853C>G. 7566C>T, 9041G>A) (r2=1). Based on these data, a warfarin dosing formula was established. Conclusions WRI is influenced by age, body mass index and SNPs in VKORC1 and CYP2C9in Korean stroke patients. The obtained warfarin dosing formula may be clinically applicable.
Characteristic Analysis of Various Structural Shapes of Superconducting Field Coils
Ji Hyung Kim,SaIl Park,Thanh Dung Le,Kwang Lok Kim,Haigun Lee,Young-Sik Jo,Yong Soo Yoon,Ho Min Kim Institute of Electrical and Electronics Engineers 2015 IEEE transactions on applied superconductivity Vol.25 No.3
<P>Superconducting field coils consist of race-track-type double pancake (DP) coil modules fabricated using high-temperature superconducting (HTS) wire with high current density and zero resistance. The structural shape of race-track-type DP coils strongly influences the intensity and the shape of the magnetic flux density in the air-gap, which determines the generator electrical output and the superconducting field coil performance. Hence, the structural shape of a superconducting field coil is very important in designing a large-scale superconducting generator. We analyze the characteristics of a 10-MW-class HTS generator using 3-D finite-element analysis software to investigate the electromagnetic effects due to the structural-shape changes in the superconducting field coil.</P>
Kang, Dong-Wha,Yoo, Sung-Hee,Chun, Sail,Kwon, Kyum-Yil,Kwon, Sun U.,Koh, Jae-Young,Kim, Jong S. Ovid Technologies Wolters Kluwer -American Heart A 2009 Stroke Vol.40 No.5
<P>BACKGROUND AND PURPOSE: Early recurrent ischemic lesions (ERILs) on diffusion-weighted imaging after acute ischemic stroke have been suggested as a potential marker of early recurrent stroke. We hypothesized that biomarkers of inflammation or coagulation may be associated with the pathogenesis of ERILs and sought to investigate whether these biomarkers provide prognostic information on the risk of development of ERILs independently of clinical and imaging variables. METHODS: This prospective study enrolled 153 consecutive patients with acute ischemic stroke who underwent diffusion-weighted imaging within 24 hours and subsequently at 5 days after onset and whose plasma or serum for biomarkers (C-reactive protein, fibrinogen, d-dimer, tissue plasminogen activator, and plasminogen activator inhibitor-1) were collected within 24 hours of onset. Those receiving thrombolysis or interventional therapy were excluded. ERILs were defined as new ischemic lesions on 5-day diffusion-weighted imaging separate from the index stroke lesions, which were not accompanied by subsequent recanalization. RESULTS: ERILs were observed in 37 patients (24.2%). In univariate analysis, shorter time from onset to initial MRI (P=0.013), initial acute multiple infarcts (P<0.001), initial larger infarct volume (P=0.005), stroke subtype (P<0.001), elevated d-dimer (P=0.028), and anticoagulation after admission (P=0.001) were associated with ERILs. In multivariate analysis, initial acute multiple infarcts (OR, 16.60; 95% CI, 5.73 to 48.08), large artery atherosclerosis (OR, 4.62; 95% CI, 1.51 to 14.11), and log d-dimer (OR, 3.20; 95% CI, 1.14 to 9.00) remained independent predictors of ERILs. CONCLUSIONS: These data suggest that elevated d-dimer level reflecting increase of thrombin generation and fibrin turnover may be an independent factor predicting ERILs.</P>
Yong Wha Lee,Won Ki Min,Sail Chun,Woochang Lee,Yunhee Kim,Sung Hoon Chun,Hyosoon Park,신희봉,이유경 대한의학회 2008 Journal of Korean medical science Vol.23 No.1
Elevated intraocular pressure (IOP) is one of the major risk factors for glaucomatous visual field defects. Each individual systemic risk factor of coronary heart disease (CHD) is associated with elevated IOP, although no reports have argued for a correlation between the risk factors for CHD and IOP after a comprehensive or collective analysis. The National Cholesterol Education Program Adult Treatment Panel III presented the Framingham projection, which can predict the risk of CHD quantitatively. We investigated the association between IOP and the Framingham projection in 16,383 Korean subjects. The Framingham projection was applied using the indicated risk factors. The associations between the Framingham projection and IOP and the influences of the risk factors on the IOP were examined. The Framingham projection was correlated with the mean IOP in women (p<0.05). The relationship between IOP and systemic variables other than smoking was significant (p<0.05). The mean IOP was significantly higher in the high-risk CHD group than in the low-risk group based on the Framingham projection (p<0.05). Because an elevated IOP was associated with cardiovascular risk factors, subjects with a high CHD risk based on the Framingham projection need continuous monitoring for IOP to prevent glaucomatous visual field defects.