scholarly journals Joint Sentiment Part Topic Regression Model for Multimodal Analysis

Information ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 486
Author(s):  
Mengyao Li ◽  
Yonghua Zhu ◽  
Wenjing Gao ◽  
Meng Cao ◽  
Shaoxiu Wang
Keyword(s):  
Regression Model ◽  
Latent Dirichlet Allocation ◽  
Automatic Assessment ◽  
Complementary Information ◽  
Multimodal Analysis ◽  
Lack Of Information ◽  
Distribution Parameters ◽  
Multimodal Sentiment Analysis ◽  
The Relationship ◽  
Single Modality

The development of multimodal media compensates for the lack of information expression in a single modality and thus gradually becomes the main carrier of sentiment. In this situation, automatic assessment for sentiment information in multimodal contents is of increasing importance for many applications. To achieve this, we propose a joint sentiment part topic regression model (JSP) based on latent Dirichlet allocation (LDA), with a sentiment part, which effectively utilizes the complementary information between the modalities and strengthens the relationship between the sentiment layer and multimodal content. Specifically, a linear regression module is developed to share implicit variables between image–text pairs, so that one modality can predict the other. Moreover, a sentiment label layer is added to model the relationship between sentiment distribution parameters and multimodal contents. Experimental results on several datasets verify the feasibility of our proposed approach for multimodal sentiment analysis.

Using The Fully Modified M Method In Estimating The Effect Of Cultivated Area On Barley Production In Iraq For The Period 1970-2018

2020 ◽  
Vol 2020 (66) ◽  
pp. 101-110
Author(s):  
. Azhar Kadhim Jbarah ◽  
Prof Dr. Ahmed Shaker Mohammed
Keyword(s):  
Regression Model ◽  
Moving Average ◽  
Estimation Method ◽  
Estimation Methods ◽  
Autoregressive Moving Average ◽  
Moving Average Models ◽  
Error Terms ◽  
Relationship Of ◽  
The Relationship ◽  
Barley Crop

The research is concerned with estimating the effect of the cultivated area of barley crop on the production of that crop by estimating the regression model representing the relationship of these two variables. The results of the tests indicated that the time series of the response variable values is stationary and the series of values of the explanatory variable were nonstationary and that they were integrated of order one ( I(1) ), these tests also indicate that the random error terms are auto correlated and can be modeled according to the mixed autoregressive-moving average models ARMA(p,q), for these results we cannot use the classical estimation method to estimate our regression model, therefore, a fully modified M method was adopted, which is a robust estimation methods, The estimated results indicate a positive significant relation between the production of barley crop and cultivated area.

scholarly journals Systematic assessment of gene co-regulation within chromatin domains determines differentially active domains across human cancers

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Marie Zufferey ◽  
Yuanlong Liu ◽  
Daniele Tavernari ◽  
Marco Mina ◽  
Giovanni Ciriello
Keyword(s):  
Complementary Information ◽  
Chromatin Domains ◽  
Algorithmic Approach ◽  
Systematic Assessment ◽  
Regulatory Interactions ◽  
Human Cancers ◽  
Domain Boundaries ◽  
Gene Regulatory ◽  
Systematic Identification ◽  
The Relationship

Abstract Background Spatial interactions and insulation of chromatin regions are associated with transcriptional regulation. Domains of frequent chromatin contacts are proposed as functional units, favoring and delimiting gene regulatory interactions. However, contrasting evidence supports the association between chromatin domains and transcription. Result Here, we assess gene co-regulation in chromatin domains across multiple human cancers, which exhibit great transcriptional heterogeneity. Across all datasets, gene co-regulation is observed only within a small yet significant number of chromatin domains. We design an algorithmic approach to identify differentially active domains (DADo) between two conditions and show that these provide complementary information to differentially expressed genes. Domains comprising co-regulated genes are enriched in the less active B sub-compartments and for genes with similar function. Notably, differential activation of chromatin domains is not associated with major changes of domain boundaries, but rather with changes of sub-compartments and intra-domain contacts. Conclusion Overall, gene co-regulation is observed only in a minority of chromatin domains, whose systematic identification will help unravel the relationship between chromatin structure and transcription.

scholarly journals Correspondence Learning for Deep Multi-Modal Recognition and Fraud Detection

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 800
Author(s):  
Jongchan Park ◽  
Min-Hyun Kim ◽  
Dong-Geol Choi
Keyword(s):  
Deep Learning ◽  
Simple Technique ◽  
Detection Method ◽  
Fraud Detection ◽  
Complementary Information ◽  
Multiple Modalities ◽  
Vending Machines ◽  
Emotion Intensity ◽  
The Relationship ◽  
Extract Information

Deep learning-based methods have achieved good performance in various recognition benchmarks mostly by utilizing single modalities. As different modalities contain complementary information to each other, multi-modal based methods are proposed to implicitly utilize them. In this paper, we propose a simple technique, called correspondence learning (CL), which explicitly learns the relationship among multiple modalities. The multiple modalities in the data samples are randomly mixed among different samples. If the modalities are from the same sample (not mixed), then they have positive correspondence, and vice versa. CL is an auxiliary task for the model to predict the correspondence among modalities. The model is expected to extract information from each modality to check correspondence and achieve better representations in multi-modal recognition tasks. In this work, we first validate the proposed method in various multi-modal benchmarks including CMU Multimodal Opinion-Level Sentiment Intensity (CMU-MOSI) and CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) sentiment analysis datasets. In addition, we propose a fraud detection method using the learned correspondence among modalities. To validate this additional usage, we collect a multi-modal dataset for fraud detection using real-world samples for reverse vending machines.

The relationship between disability and suicide: prospective evidence from the Ten to Men cohort

2018 ◽  
Vol 41 (4) ◽  
pp. 707-713 ◽  
Author(s):  
Allison Milner ◽  
Anne-Marie Bollier ◽  
Eric Emerson ◽  
Anne Kavanagh
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
People With Disabilities ◽  
Cross Sectional ◽  
Longitudinal Cohort ◽  
The Past ◽  
The Relationship

Abstract Background People with disabilities often face a range of social and economic adversities. Evidence suggests that these disadvantages result in poorer mental health. Some research also indicates that people with disabilities are more likely experience thoughts about suicide than people without disability, although most of this research is based on small cross-sectional samples. Methods We explored the relationship between self-reported disability (measured at baseline) and likelihood of reporting thoughts of suicide (measured at follow up) using a large longitudinal cohort of Australian males. A logistic regression model was conducted with thoughts of suicide within the past 12 months (yes or no) as the outcome and disability as the exposure. The models adjusted for relevant confounders, including mental health using the SF-12 MCS, and excluded males who reported thoughts of suicide at baseline. Results After adjustment, there was a 1.48 (95% CI: 0.98–2.23, P = 0.063) increase in the odds of thoughts of suicide among men who also reported a disability. The size of association was similar to that of being unemployed. Conclusions Males reporting disability may also suffer from thoughts of suicide. We speculate that discrimination may be one explanation for the observed association. More research on this topic is needed.

scholarly journals Relative Influences of Review and Engagement Auditor Rotation on Audit Quality: Evidence from China

2021 ◽  
Vol 14 (1) ◽  
pp. 171-206
Author(s):  
Sang Ho Kim ◽  
Jianqun Xi
Keyword(s):  
Regression Model ◽  
Logit Model ◽  
Audit Quality ◽  
Discretionary Accruals ◽  
Shared Responsibility ◽  
First Year ◽  
Audit Firm ◽  
Auditor Rotation ◽  
Audit Partner Rotation ◽  
The Relationship

Manuscript type: Research paper Research aims: This study focuses on the effects of audit partner rotation on audit quality (AQ) in China. In particular, we examine the effects of review auditors (RAs) and engagement auditors (EAs) on AQ when they voluntarily and mandatorily rotate. Design/Methodology/Approach: The data in this study are retrieved from the Chinese Stock Market and Accounting Research (CSMAR) database. We develop an OLS regression model and logit model respectively to test the hypotheses developed. Finally, we have 13,856 firm-year observations collected for the first regression model, and 16,893 firm-year observations gathered for the second logit model from 2003 to 2015. Research findings: Findings show that RAs are more likely to behave opportunistically to retain clients by weighing up the benefits and costs of compromising audit quality in the first year after a rotation. The results imply that RAs may have an incentive to acquiesce the clients’ accounting irregularities in their first year of audit engagement when they are mandatorily rotated. However, we do not find this trend in terms of EAs’ rotation, suggesting that EAs are less affected by the auditor-client relationship compared to RAs. In addition, we find that RAs are less likely to issue modified audit opinions (MOPI) as the magnitude of negative discretionary accruals (DA) increases when they are voluntarily rotated. Theoretical contribution/Originality: Previous studies have investigated the relationship between mandatory audit partner rotation and audit quality. The results are mixed and inconclusive. Our study contributes to the extant literature by considering RAs’ opportunistic behaviour after mandatory rotation, which has not been explored in previous studies. In China, only a few studies have examined the relationship between mandatory audit partner rotation and audit quality. Our study is one of the first study focusing on the RA’s influence on AQ. Practitioner/Policy implication: The findings of our study can help Chinese authorities, listed firms and academics gain more understanding on whether mandatory audit partner rotation improves audit quality in practice. Since RAs have greater incentive to retain the existing client, we propose that RAs should bear more responsibility for the audit work, instead of the equally shared responsibility with EAs. Research limitation/Implications: Our study is subject to some limitations. First, our study adopts the performance-adjusted discretionary accruals as a proxy for audit quality. However, there can be a measurement error in estimating discretionary accruals. Second, we focus on the auditor rotation and exclude the case of audit firm rotation. Since the AQ can be affected by various factors, audit firm rotation can also affect AQ. Third, although we test the relative effects of RAs and EAs in audit work, we do not examine the effect of RAs’ characteristics such as their professional experience, educational background, and years of service. AQ can be affected by RAs’ characteristics.

scholarly journals Decrease in Serum Urate Level Is Associated With Loss of Visceral Fat in Male Gout Patients

2021 ◽  
Vol 12 ◽  
Author(s):  
Zijing Ran ◽  
Xiaomei Xue ◽  
Lin Han ◽  
Robert Terkeltaub ◽  
Tony R. Merriman ◽  
...  
Keyword(s):  
Regression Model ◽  
Visceral Fat ◽  
Multiple Linear Regression Model ◽  
Serum Urate ◽  
Multiple Regression Model ◽  
Final Visit ◽  
Visceral Fat Area ◽  
Serum Urate Level ◽  
Lowering Therapy ◽  
The Relationship

ObjectiveTo clarify the relationship between serum urate (SU) decrease and visceral fat area (VFA) reduction in patients with gout.MethodsWe retrospectively analyzed 237 male gout patients who had two sets of body composition and metabolic measurements within 6 months. Subjects included had all been treated with urate-lowering therapy (ULT) (febuxostat 20–80 mg/day or benzbromarone 25–50 mg/day, validated by the medical record). All patients were from the specialty gout clinic of The Affiliated Hospital of Qingdao University. The multiple linear regression model evaluated the relationship between change in SU [ΔSU, (baseline SU) – (final visit SU)] and change in VFA [ΔVFA, (baseline VFA) – (final visit VFA)].ResultsULT resulted in a mean (standard deviation) decrease in SU level (464.22 ± 110.21 μmol/L at baseline, 360.93 ± 91.66 μmol/L at the final visit, p <0.001) accompanied by a decrease in median (interquartile range) VFA [97.30 (81.15–118.55) at baseline, 90.90 (75.85–110.05) at the final visit, p < 0.001]. By multiple regression model, ΔSU was identified to be a significant determinant variable of decrease in VFA (beta, 0.302; p = 0.001).ConclusionsThe decrease in SU level is positively associated with reduced VFA. This finding provides a rationale for clinical trials to affirm whether ULT promotes loss of visceral fat in patients with gout.

scholarly journals Human Trafficking and Displacement in South Asia: An Econometric Analysis

2017 ◽  
Vol 65 (1) ◽  
pp. 73-76
Author(s):  
Tanjina Rahman ◽  
Md Israt Rayhan ◽  
Nayeem Sultana
Keyword(s):  
Regression Model ◽  
South Asia ◽  
Human Trafficking ◽  
Internal Displacement ◽  
Probit Regression ◽  
Safety Nets ◽  
Internally Displaced ◽  
Internally Displaced Person ◽  
Social Safety Nets ◽  
The Relationship

Human trafficking has received increased media and national attention. Despite concerted efforts to combat human trafficking, the trade in persons persists and in fact continues to grow. This paper describes the relationship and distinction between trafficking and ethnic fragmentation, conflict, internally displaced person by different measures of control. To explain the relationship between these factors, this study uses a Probit regression model. It appears that ethnic conflict leads the internal displacement of individuals from networks of family and community, and their access to economic and social safety nets. Dhaka Univ. J. Sci. 65(1): 73-76, 2017 (January)

scholarly journals Valuation of Government Bonds: the Exchange Rate Is an Important Aspect

2017 ◽  
Vol 65 (6) ◽  
pp. 1911-1916
Author(s):  
Blanka Francová
Keyword(s):  
Regression Model ◽  
Interest Rates ◽  
Arbitrage Pricing Theory ◽  
Arbitrage Pricing ◽  
Data Set ◽  
Government Bonds ◽  
Exchange Risk ◽  
Pricing Theory ◽  
Multi Linear Regression ◽  
The Relationship

Interest rates are currently very low in the countries. In these countries bonds are issued with low or negative yields. In this paper, I empirically investigate the factors that affect the price of bonds. I follow international arbitrage pricing theory to determine the relationship between factors and the price of bonds. The international arbitrage pricing theory applies a multi‑linear regression model. The regression model is used for emerging markets and developing markets separately. I have a unique data set of 46 countries. The main data are the monthly returns on government bonds in the period 2010–2015. Exchange risk influences the bond prices. Currency movements can bring further yield for investors.

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