Exposure to Information, Belief Integration, and Individual Responsiveness to Agenda Change

1984 ◽  
Vol 78 (2) ◽  
pp. 372-391 ◽  
Author(s):  
Michael MacKuen
Keyword(s):  
Multivariate Analysis ◽  
Public Choice ◽  
Social Motivation ◽  
Public Affairs ◽  
Political Interest ◽  
Component Model ◽  
Political Agenda ◽  
Two Component ◽  
Individual Responsiveness ◽  
The Impact

This article examines individual responsiveness to the media's changing political agenda during the years from 1964 to 1980. In the context of a dynamic model, the data indicate that responsiveness is positively associated with education, political interest, and a social motivation to attend to public affairs. A two-component model, in which heightened involvement increases individuals' exposure to information but also decreases their receptivity to the impact of the messages, is considered in a multivariate analysis. Although the results are only suggestive, the exposure function appears to operate for all three variables, whereas the inhibitions owing to the integration of previous information are evident only for political interest. Some speculations are offered about how these results may elaborate models of democratic public choice.

Multivariate analysis of data for the ionization of weak acids in water – dimethyl sulfoxide solvent mixtures

1981 ◽  
Vol 59 (15) ◽  
pp. 2350-2357 ◽  
Author(s):  
John T. Edward ◽  
Michael Sjöström ◽  
Svante Wold
Keyword(s):  
Multivariate Analysis ◽  
Function Theory ◽  
Component Model ◽  
Ionization Constants ◽  
Solvent Mixtures ◽  
Acidity Function ◽  
Weak Acids ◽  
Chemical Type ◽  
Two Component ◽  
Components Analysis

The ionization constants p(sKa) reported for 41 weak acids of varying chemical type in ten water–DMSO solvent mixtures have been analysed by the SIMCA version of principal components analysis. This shows the data to fit a two-component model. The significance of the results for acidity function theory is discussed.

The impact of adolescent parentification on family relationship and civic engagement

2020 ◽  
pp. 146801732095524
Author(s):  
Hsi-Sheng Wei ◽  
An-Ti Shih ◽  
Yi-Fu Chen ◽  
Jun Sung Hong
Keyword(s):  
High School Students ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Family Relationship ◽  
Two Dimensions ◽  
Public Affairs ◽  
Political Interest ◽  
Family Type ◽  
School Students ◽  
The Impact

Summary This study examined the relationships between parentification, family relationship, political interest, and civic beliefs using a large sample of Taiwanese adolescents. Data were collected from 1648 junior and senior high school students in Taichung City, Taiwan. Parentification was hypothesized to positively affect family relationship, which in turn influences adolescents’ political interest and civic beliefs. A series of structural equation models were constructed and tested. Implications of the findings for practice and policy-making are discussed. Findings Two dimensions of parentification, instrumental and emotional caregiving, were found to be positively associated with the parent–child relationship while perceived unfairness was negatively associated with the family relations. Family relationship was positively related to youth’s civic beliefs as well as their political interests. Potential gender, age (junior high/senior high), and family (living with/not with both parents) effects were examined through multi-group comparisons. The model was robust with minor differences between gender, age, and family type subgroups. Applications Social workers should recognize the developmental benefits of parentification and utilize such experiences when working with adolescents. With cultural sensitivity, a healthy inter-dependence between youth and parents can be appreciated as a source of strength, which facilitates young people’s civic responsibility and concern for public affairs beyond family.

scholarly journals Volatility Forecasting Based on Cyclical Two-Component Model: Evidence from Chinese Futures Markets and Sector Stocks

2020 ◽  
Vol 25 (3) ◽  
pp. 59
Author(s):  
Conghua Wen ◽  
Junwei Wei
Keyword(s):  
Futures Markets ◽  
Realized Volatility ◽  
Futures Market ◽  
Component Model ◽  
Type Model ◽  
Volatility Forecasting ◽  
Improved Method ◽  
Two Component ◽  
Model Evidence ◽  
The Impact

This article aims to study the schemes of forecasting the volatilities of Chinese futures markets and sector stocks. An improved method based on the cyclical two-component model (CTCM) introduced by Harris et al. in 2011 is provided. The performance of CTCM is compared with the benchmark model: Heterogeneous Autoregressive model of Realized Volatility type (HAR-RV type). The impact of open interest for futures market is included in HAR-RV type model. We employ 3 different evaluation rules to determine the most efficient models when the results of different evaluation rules are inconsistent. The empirical results show that CTCM is more accurate than HAR-RV type in both estimation and forecasting. The results also show that the realized range-based tripower volatility (RTV) is the most efficient estimator for both Chinese futures markets and sector stocks.

The impact of business tourism clustering on the regional economy's development: A Greater Moscow case study

2020 ◽  
Vol 18 (7) ◽  
pp. 1397-1414
Author(s):  
K.S. Golondarev
Keyword(s):  
Multivariate Analysis ◽  
The State ◽  
Investment Climate ◽  
Private Investors ◽  
The Impact

Subject. This article explores the issues of business tourism clustering in Greater Moscow. Objectives. The article intends to justify the need to create a business tourism cluster in Greater Moscow to improve the investment climate in the region. Methods. For the study, I used a multivariate analysis, forecasting, and extrapolation. Results. The article shows a certain relationship between the efficient functioning of the business tourism cluster and the economy's development. Conclusions and Relevance. Certain types of tourist clusters can serve as platforms for attracting investors and implementing marketing plans. The business tourism cluster is a link between buyers and sellers in various industries. The results of the study can be used to improve the effectiveness of the cluster initiative in business tourism, as well as find ways of cooperation between the State and private investors when creating the business tourism cluster in Greater Moscow.

Radiometric Chronology of Neh–nar Glacier, Kashmir

1982 ◽  
Vol 28 (98) ◽  
pp. 91-105 ◽  
Author(s):  
V. N. Nijampurkar ◽  
N. Bhandari ◽  
C. P. Vohra ◽  
V. Krishnan
Keyword(s):  
Average Rate ◽  
Component Model ◽  
Vertical Profiles ◽  
Kashmir Valley ◽  
Movement Rate ◽  
Accumulation Zone ◽  
Core Samples ◽  
Surface Samples ◽  
Two Component

AbstractSurface and core samples of Neh–nar Glacier in the Kashmir Valley have been analysed for the radionuclides 32Si. 210Pb, 40K, and 137Cs. The lateral and vertical profiles (at an altitude of about 4 140 m) reveal:(1)32Si activity decreasing slowly from the accumulation zone to 4 050 m altitude and then abruptly towards the snout.(2)Five zones of alternating high and low 210Pb activity in the surface samples.(3)An horizon at between 2 and 3 m depth containing 210Pb activity above natural levels. This horizon is also associated with 137Cs and a maximum in total ß activity.The ice samples have been dated on the basis of a simplified two–component model, the “fresh“contribution determined by 2l0Pb and the old component by 32Si. The following conclusions can be drawn from these observations:(1)The model age of the snout ice is c. 850 years.(2)The average rate of ice movement in the lower glacier is about 2 m/year, which compares well with the annual movement rate of 2.65 m/year observed since 1974.

Voting at the U.S. Constitutional Convention

2019 ◽  
pp. 780-796
Author(s):  
Keith L. Dougherty
Keyword(s):  
Public Choice ◽  
Constitutional Convention ◽  
The Public ◽  
Public Choice Perspective ◽  
The Impact ◽  
The U.S

This chapter describes how the public-choice perspective has provided new insights into the U.S. Constitutional Convention of 1787. It reviews articles on the impact of the rules of the Convention, attempts to infer delegate votes, and reviews how public choice has helped us understand the adoption of various clauses in the Constitution and studies of the Beard thesis.

scholarly journals Estimation of Galactic Model Parameters by Interval Method

1996 ◽  
Vol 169 ◽  
pp. 713-714
Author(s):  
S. A. Kutuzov
Keyword(s):  
Mutual Interaction ◽  
Component Model ◽  
Model Parameters ◽  
Interval Method ◽  
Two Component ◽  
The Galaxy ◽  
Galactic Model

The interval method of estimating model parameters (MPs) for the Galaxy was suggested earlier (Kutuzov 1988). Intervals are proposed to be used both for observational estimates of galactic parameters (GPs) and for the values of MPs. In this work we consider a model as a tool for studying mutual interaction of GPs. Two-component model is considered (Kutuzov, Ossipkov 1989). We have to estimate the array P of eight MPs.

scholarly journals Development of the Circular Bioeconomy: Drivers and Indicators

2021 ◽  
Vol 13 (1) ◽  
pp. 413
Author(s):  
Maximilian Kardung ◽  
Kutay Cingiz ◽  
Ortwin Costenoble ◽  
Roel Delahaye ◽  
Wim Heijman ◽  
...  
Keyword(s):  
Circular Economy ◽  
Food Production ◽  
Conceptual Analysis ◽  
Green Economy ◽  
Political Agenda ◽  
Analysis Framework ◽  
Stakeholder Consultation ◽  
Time Period ◽  
The Impact ◽  
The Eu

The EU’s 2018 Bioeconomy Strategy Update and the European Green Deal recently confirmed that the bioeconomy is high on the political agenda in Europe. Here, we propose a conceptual analysis framework for quantifying and analyzing the development of the EU bioeconomy. The bioeconomy has several related concepts (e.g., bio-based economy, green economy, and circular economy) and there are clear synergies between these concepts, especially between the bioeconomy and circular economy concepts. Analyzing the driving factors provides important information for monitoring activities. We first derive the scope of the bioeconomy framework in terms of bioeconomy sectors and products to be involved, the needed geographical coverage and resolution, and time period. Furthermore, we outline a set of indicators linked to the objectives of the EU’s bioeconomy strategy. In our framework, measuring developments will, in particular, focus on the bio-based sectors within the bioeconomy as biomass and food production is already monitored. The selected indicators commit to the EU Bioeconomy Strategy objectives and conform with findings from previous studies and stakeholder consultation. Additionally, several new indicators have been suggested and they are related to measuring the impact of changes in supply, demand drivers, resource availability, and policies on sustainability goals.

scholarly journals Assessment of the impact of an opioid-specific education series on rates of medication-assisted treatment for opioid use disorder in veterans

2020 ◽  
Author(s):  
Taylor Kirby ◽  
Robert Connell ◽  
Travis Linneman
Keyword(s):  
Multivariate Analysis ◽  
Hospital Admission ◽  
Intervention Group ◽  
Opioid Use Disorder ◽  
Control Group ◽  
Opioid Use ◽  
Motivation To Change ◽  
Heroin Use ◽  
Ed Visits ◽  
The Impact

Abstract Purpose The impact of a focused inpatient educational intervention on rates of medication-assisted therapy (MAT) for veterans with opioid use disorder (OUD) was evaluated. Methods A retrospective cohort analysis compared rates of MAT, along with rates of OUD-related emergency department (ED) visits and/or hospital admission within 1 year, between veterans with a diagnosis of OUD who completed inpatient rehabilitation prior to implementation of a series of group sessions designed to engage intrinsic motivation to change behavior surrounding opioid abuse and provide education about MAT (the control group) and those who completed rehabilitation after implementation of the education program (the intervention group). A post hoc, multivariate analysis was performed to evaluate possible predictors of MAT use and ED and/or hospital readmission, including completion of the opioid series, gender, age (>45 years), race, and specific prior substance(s) of abuse. Results One hundred fifty-eight patients were included: 95 in the control group and 63 in the intervention group. Rates of MAT were 25% (24 of 95 veterans) and 75% (47 of 63 veterans) in control and intervention groups, respectively (P < 0.01). Gender, completion of the opioid series, prior heroin use, and marijuana use met prespecified significance criteria for inclusion in multivariate regression modeling of association with MAT utilization, with participation in the opioid series (odds ratio [OR], 9.56; 95% confidence interval [CI], 4.36-20.96) and prior heroin use (OR, 3.26; 95% CI, 1.18-9.01) found to be significant predictors of MAT utilization on multivariate analysis. Opioid series participation and MAT use were independently associated with decreased rates of OUD-related ED visits and/or hospital admission (hazard ratios of 0.16 [95% CI, 0.06-0.44] and 0.32 [95% CI, 0.14-0.77], respectively) within 1 year after rehabilitation completion. Conclusion Focused OUD-related education in a substance abuse program for veterans with OUD increased rates of MAT and was associated with a decrease in OUD-related ED visits and/or hospital admission within 1 year.

scholarly journals Relative Frequency and Risk Factors of COVID-19 Related Headache in a Sample of Egyptian Population: A Hospital-Based Study

Pain Medicine ◽  
2021 ◽  
Author(s):  
Mona Hussein ◽  
Wael Fathy ◽  
Ragaey A Eid ◽  
Hoda M Abdel-Hamid ◽  
Ahmed Yehia ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Platelet Count ◽  
Relative Frequency ◽  
Clinical Laboratory ◽  
Primary Headache ◽  
Female Gender ◽  
Imaging Data ◽  
Laboratory Findings ◽  
Neutrophil Lymphocyte Ratio ◽  
The Impact

Abstract Objectives Headache is considered one of the most frequent neurological manifestations of coronavirus disease 2019 (COVID-19). This work aimed to identify the relative frequency of COVID-19-related headache and to clarify the impact of clinical, laboratory findings of COVID-19 infection on headache occurrence and its response to analgesics. Design Cross-sectional study. Setting Recovered COVID-19 patients. Subjects In total, 782 patients with a confirmed diagnosis of COVID-19 infection. Methods Clinical, laboratory, and imaging data were obtained from the hospital medical records. Regarding patients who developed COVID-19 related headache, a trained neurologist performed an analysis of headache and its response to analgesics. Results The relative frequency of COVID-19 related headache among our sample was 55.1% with 95% confidence interval (CI) (.516–.586) for the estimated population prevalence. Female gender, malignancy, primary headache, fever, dehydration, lower levels of hemoglobin and platelets and higher levels of neutrophil/lymphocyte ratio (NLR) and CRP were significantly associated with COVID-19 related headache. Multivariate analysis revealed that female gender, fever, dehydration, primary headache, high NLR, and decreased platelet count were independent predictors of headache occurrence. By evaluating headache response to analgesics, old age, diabetes, hypertension, primary headache, severe COVID-19, steroid intake, higher CRP and ferritin and lower hemoglobin levels were associated with poor response to analgesics. Multivariate analysis revealed that primary headache, steroids intake, moderate and severe COVID-19 were independent predictors of non-response to analgesics. Discussion Headache occurs in 55.1% of patients with COVID-19. Female gender, fever, dehydration, primary headache, high NLR, and decreased platelet count are considered independent predictors of COVID-19 related headache.

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