scholarly journals Quantitative Analysis of Comprehensive Influence of Music Network Based on Logistic Regression and Bidirectional Clustering

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Yi-Kun Zhao ◽  
Guo-Qing Wang ◽  
Xiao-Xiao Zhan ◽  
Peng-Hui Yang
Keyword(s):  
Logistic Regression ◽  
Quantitative Analysis ◽  
Comprehensive Evaluation ◽  
Dynamic Network ◽  
Measurement Model ◽  
Music Similarity ◽  
Pagerank Algorithm ◽  
Change Factors ◽  
Cluster Analysis Method ◽  
The Impact

This paper makes a quantitative analysis of the comprehensive influence of music networks. Firstly, 11 music features are selected from energy, popularity, and other aspects to build a comprehensive evaluation index of music influence, and the PageRank algorithm is used to quantify the music influence. Secondly, the multiobjective logistic regression is used to construct the music similarity measurement model and, combined with music influence and music similarity, to judge whether the influence of different musicians is the actual influence. Thirdly, the influence and similarity of the same music genre and different music genres are analyzed by using the two-way cluster analysis method. Finally, the lasso region is used for feature selection to obtain the change factors in the process of music evolution and analyze the dynamic changes in the process of music development. Therefore, this paper uses network science to build a dynamic network to analyze the similarity of music, the evolution process, and the impact of music on culture, which has certain research significance and practical value in the fields of music, history, social science, and practice.

Research on Ecological Integration of Mountain Highway Domain Ecosystems

2013 ◽  
Vol 726-731 ◽  
pp. 4109-4114
Author(s):  
Jin Song Shi ◽  
Bo Hu ◽  
Hou Cou Sun ◽  
Qin Tao Wang
Keyword(s):  
Theoretical Basis ◽  
Ecosystem Health ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Measurement Model ◽  
Comprehensive Evaluation Method ◽  
The Road ◽  
Ecological Protection ◽  
The Impact ◽  
Road Domain

This paper analyzed the impact of the mountain highway on road domain ecosystems, and defined the concept and content of the road domain ecosystem ecological integration and its relationship with ecosystem health. Based on PSR framework, the ecological integrated measurement model was built. By constructing various subsystems indicators, the road domain ecosystem ecological integration was quantified by using the comprehensive evaluation method. On this basis, this paper divided the ecological integration into four grades: poor, moderate, good and excellent. It provided a theoretical basis for the ecological protection and restoration of the mountain highway construction.

Study on Ecological Integration of Yichang to Badong Highway Domain Ecosystem

2013 ◽  
Vol 726-731 ◽  
pp. 4135-4141
Author(s):  
Jin Song Shi ◽  
Bo Hu ◽  
Hou Cai Sun ◽  
Qin Tao Wang
Keyword(s):  
Ecosystem Health ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Road Construction ◽  
Measurement Model ◽  
Comprehensive Evaluation Method ◽  
The Road ◽  
The Impact ◽  
Road Domain ◽  
Pressure State

This paper analyzed the concept and content of the road domain ecosystem ecological integration and its relationship with ecosystem health. Based on PSR framework, the ecological integrated measurement model was built, which divided the ecological integration into three subsystems, pressure, state and response. By constructing various subsystems indicators, the road domain ecosystem ecological integration was quantified by using the comprehensive evaluation method. On this basis, the ecological integration index was calculated along the highway at different distances of Yichang to Badong highway. The result shows that the road domain ecosystem ecological integration is relative to the distance on both sides of the highway. In the range of 0-5m, the ecological integration index is only 0.0408, which is gradually rising with distance increasing. To the range of 100-200m, the ecological integration index reaches 0.9343, which is close to the normal ecosystems level. This result is mainly related to the road construction disturbance. When it is closer to the road, the interference intensity is greater and the impact on the ecosystem is more obvious, which leads to the worse ecological integration. Conversely, the ecological integration is better.

scholarly journals A quantitative, longitudinal analysis of the impact of mathematics support in an Irish university

2018 ◽  
Vol 38 (4) ◽  
pp. 216-229 ◽  
Author(s):  
Maria Jacob ◽  
Eabhnat Ní Fhloinn
Keyword(s):  
Higher Education ◽  
Logistic Regression ◽  
Quantitative Analysis ◽  
Binary Logistic Regression ◽  
Mathematical Achievement ◽  
Exam Performance ◽  
The Past ◽  
Significant Difference ◽  
Number Of Visits ◽  
The Impact

Abstract Mathematics support has become embedded in a large number of higher education institutes in Ireland and UK in particular. Measuring the impact of such support is a challenging task, which can be attempted either qualitatively, through the use of surveys or focus groups, or quantitatively, looking at data such as number of visits and subsequent exam performance. Here, we consider a quantitative analysis of the impact of a mathematics support centre in an Irish university, based on data gathered over the past 12 years. A binary logistic regression was carried out which showed that, when prior mathematical achievement and module studied were kept constant, the odds of a student who attended mathematics support once passing their module were 1.63 times higher than for one who had never engaged with the service. The odds for those who attended 15 or more times were almost 14 times higher. This study also showed that there was a significant difference between those who never engaged with mathematics support and those who attended once, meaning that such cohorts should be considered differently, which has not traditionally been done in other studies conducted to this point.

Peranan Whistleblowing Dalam Meningkatkan Integriti Anggota Polis Diraja Malaysia (Pdrm): Kajian Ke Atas Kontinjen Perak

Sains Insani ◽  
2018 ◽  
Vol 2 (1) ◽  
pp. 17-27
Author(s):  
Megat Ayop Megat Arifin ◽  
Abd. Halim Ahmad
Keyword(s):  
Quantitative Analysis ◽  
Demographic Factors ◽  
Positive Perception ◽  
External Threats ◽  
Positive Practices ◽  
The Impact ◽  
The Relationship

Whitsleblowing is one of the positive practices in organizations that are able to raise the level of integrity among the members of an organization. However, the roles of whistleblowing also inevitably invites a response, especially among members of the organization itself. This is because such practices are viewed as one factor that may be detrimental to the organization in addition to revealing the reporter (whistleblower) to some external threats and intimidation of discrimination within the organization. This paper is an attempt to examine the relationship between perceptions of members of the Royal Malaysian Police (RMP) Contingent of Perak through the role of whistleblowing practices to increase the perception of the integrity of the members. Next, identify the purpose of the whistleblowing and its effect on the integrity of the members of the organization. This study used a descriptive quantitative analysis to identify patterns of relationship that exists between the perception of whistleblowing practices with perceptions of increased integrity based on three basic variables of demographic factors, response to whistleblowing and the impact of making the report. The results showed that members of the Perak’s police have a positive perception of whistleblowing practices which are seen to be done in improving the integrity of the members.Keywords: whistleblowing, perception, RMP members, culture, integrity, organization, influence. ABSTRAK: Whitsleblowing merupakan salah satu amalan positif dalam organisasi yang mampu untuk meningkatkan tahap integriti ahli-ahli dalam sesebuah organisasi. Namun begitu, amalan whistleblowing juga turut tidak dapat mengelak daripada mengundang pelbagai respon khususnya dalam kalangan ahli organisasi itu sendiri. Amalan sebegini turut dilihat sebagai salah satu faktor yang boleh memudaratkan organisasi di samping mendedahkan pelapor (whistleblower) kepada beberapa bentuk ancaman ugutan dari luar dan diskriminasi dalam organisasi. Kertas ini merupakan satu upaya untuk melihat perkaitan antara persepsi anggota Polis Diraja Malaysia (PDRM) Kontinjen Perak melalui peranan amalan whistleblowing terhadap persepsi peningkatan integriti anggota. Seterusnya, mengenalpasti maksud whistleblowing dan pengaruhnya terhadap tahap integriti anggota dalam organisasi. Kajian ini menggunakan analisis kuantitatif berbentuk deskriptif bagi mengenalpasti corak hubungan yang wujud antara persepsi terhadap amalan whistleblowing dengan persepsi terhadap peningkatan integriti berdasarkan tiga pembolehubah asas iaitu faktor demografi, tanggapan terhadap whistleblowing dan kesan daripada tindakan membuat laporan. Dapatan kajian menunjukkan bahawa anggota PDRM Perak mempunyai persepsi yang positif terhadap whistleblowing yang mana ianya dilihat perlu dilaksanakan dalam meningkatkan integriti anggota.Kata kunci: whistleblowing, persepsi, amalan, anggota PDRM, budaya, integriti, organisasi, pengaruh.  

The impact of SPY angiography on intraoperative decision making and outcomes for post-mastectomy reconstruction

2019 ◽  
pp. 1-5
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Skin Necrosis ◽  
Regression Models ◽  
Multivariable Analysis ◽  
P Value ◽  
Flap Necrosis ◽  
Single Institution ◽  
Logistic Regression Models ◽  
The Impact

Objective: While the use of intraoperative laser angiography (SPY) is increasing in mastectomy patients, its impact in the operating room to change the type of reconstruction performed has not been well described. The purpose of this study is to investigate whether SPY angiography influences post-mastectomy reconstruction decisions and outcomes. Methods and materials: A retrospective analysis of mastectomy patients with reconstruction at a single institution was performed from 2015-2017.All patients underwent intraoperative SPY after mastectomy but prior to reconstruction. SPY results were defined as ‘good’, ‘questionable’, ‘bad’, or ‘had skin excised’. Complications within 60 days of surgery were compared between those whose SPY results did not change the type of reconstruction done versus those who did. Preoperative and intraoperative variables were entered into multivariable logistic regression models if significant at the univariate level. A p-value <0.05 was considered significant. Results: 267 mastectomies were identified, 42 underwent a change in the type of planned reconstruction due to intraoperative SPY results. Of the 42 breasts that underwent a change in reconstruction, 6 had a ‘good’ SPY result, 10 ‘questionable’, 25 ‘bad’, and 2 ‘had areas excised’ (p<0.01). After multivariable analysis, predictors of skin necrosis included patients with ‘questionable’ SPY results (p<0.01, OR: 8.1, 95%CI: 2.06 – 32.2) and smokers (p<0.01, OR:5.7, 95%CI: 1.5 – 21.2). Predictors of any complication included a change in reconstruction (p<0.05, OR:4.5, 95%CI: 1.4-14.9) and ‘questionable’ SPY result (p<0.01, OR: 4.4, 95%CI: 1.6-14.9). Conclusion: SPY angiography results strongly influence intraoperative surgical decisions regarding the type of reconstruction performed. Patients most at risk for flap necrosis and complication post-mastectomy are those with questionable SPY results.

A STUDY OF THE IMPACT OF SPECIAL INTEREST GROUPS ON MAJOR TAX REFORM: AGRICULTURE AND THE 1913 INCOME TAX LAW

2008 ◽  
Vol 35 (2) ◽  
pp. 71-100 ◽  
Author(s):  
Douglas K. Barney ◽  
Tonya K. Flesher
Keyword(s):  
Quantitative Analysis ◽  
Income Tax ◽  
Income Taxes ◽  
Tax Law ◽  
Special Interest Groups ◽  
Congressional Debates ◽  
Farm Population ◽  
Income Tax Law ◽  
State Income ◽  
The Impact

Farmers have benefited from unique tax treatment since the beginning of the income tax law. This paper explores agricultural influences on the passage of the income tax in 1913, using both qualitative and quantitative analysis. The results show that agricultural interests were influential in the development and passage of tax/tariff laws. The percentage of congressmen with agricultural ties explains the strong affection for agriculture. Discussion in congressional debates and in agricultural journals was passionate and patriotic in support of equity for farmers. The quantitative analysis reveals that the percentage farm population was a significant predictor of passage of the 16th Amendment by the states and of adoption of state income taxes in the 20th century.

scholarly journals Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yahya Albalawi ◽  
Jim Buckley ◽  
Nikola S. Nikolov
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Comprehensive Evaluation ◽  
Classification Problem ◽  
Data Sets ◽  
Word Embeddings ◽  
Data Set ◽  
Lower Accuracy ◽  
Health Related ◽  
The Impact

AbstractThis paper presents a comprehensive evaluation of data pre-processing and word embedding techniques in the context of Arabic document classification in the domain of health-related communication on social media. We evaluate 26 text pre-processings applied to Arabic tweets within the process of training a classifier to identify health-related tweets. For this task we use the (traditional) machine learning classifiers KNN, SVM, Multinomial NB and Logistic Regression. Furthermore, we report experimental results with the deep learning architectures BLSTM and CNN for the same text classification problem. Since word embeddings are more typically used as the input layer in deep networks, in the deep learning experiments we evaluate several state-of-the-art pre-trained word embeddings with the same text pre-processing applied. To achieve these goals, we use two data sets: one for both training and testing, and another for testing the generality of our models only. Our results point to the conclusion that only four out of the 26 pre-processings improve the classification accuracy significantly. For the first data set of Arabic tweets, we found that Mazajak CBOW pre-trained word embeddings as the input to a BLSTM deep network led to the most accurate classifier with F1 score of 89.7%. For the second data set, Mazajak Skip-Gram pre-trained word embeddings as the input to BLSTM led to the most accurate model with F1 score of 75.2% and accuracy of 90.7% compared to F1 score of 90.8% achieved by Mazajak CBOW for the same architecture but with lower accuracy of 70.89%. Our results also show that the performance of the best of the traditional classifier we trained is comparable to the deep learning methods on the first dataset, but significantly worse on the second dataset.

scholarly journals Work absence and multimorbidity in Portugal: results from the 1st National Health Examination Survey

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Matos ◽  
C Matias Dias ◽  
A Félix
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Chronic Diseases ◽  
National Health ◽  
Logistic Regression Model ◽  
Health Examination ◽  
Work Absence ◽  
Health Examination Survey ◽  
Absence From Work ◽  
The Impact

Abstract Background Studies on the impact of patients with multimorbidity in the absence of work indicate that the number and type of chronic diseases may increase absenteeism and that the risk of absence from work is higher in people with two or more chronic diseases. This study analyzed the association between multimorbidity and greater frequency and duration of work absence in the portuguese population between the ages of 25 and 65 during 2015. Methods This is an epidemiological, observational, cross-sectional study with an analytical component that has its source of information from the 1st National Health Examination Survey. The study analyzed univariate, bivariate and multivariate variables under study. A multivariate logistic regression model was constructed. Results The prevalence of absenteeism was 55,1%. Education showed an association with absence of work (p = 0,0157), as well as professional activity (p = 0,0086). It wasn't possible to verify association between the presence of chronic diseases (p = 0,9358) or the presence of multimorbidity (p = 0,4309) with absence of work. The prevalence of multimorbidity was 31,8%. There was association between age (p &lt; 0,0001), education (p &lt; 0,001) and yield (p = 0,0009) and multimorbidity. There is no increase in the number of days of absence from work due to the increase in the number of chronic diseases. In the optimized logistic regression model the only variables that demonstrated association with the variable labor absence were age (p = 0,0391) and education (0,0089). Conclusions The scientific evidence generated will contribute to the current discussion on the need for the health and social security system to develop policies to patients with multimorbidity. Key messages The prevalence of absenteeism and multimorbidity in Portugal was respectively 55,1% and 31,8%. In the optimized model age and education demonstrated association with the variable labor absence.

scholarly journals Quantitative Analysis of Pyrazines and Their Perceptual Interactions in Soy Sauce Aroma Type Baijiu

Foods ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 441
Author(s):  
Yan Yan ◽  
Shuang Chen ◽  
Yao Nie ◽  
Yan Xu
Keyword(s):  
Mass Spectrometry ◽  
Quantitative Analysis ◽  
Ultra Performance Liquid Chromatography ◽  
Alcohol Solution ◽  
Soy Sauce ◽  
Tandem Mass ◽  
Odor Thresholds ◽  
Quantitative Results ◽  
Odor Activity Value ◽  
The Impact

Pyrazines are important compounds in soy sauce aroma type Baijiu (SSAB). In this work, a total of 16 pyrazines were analyzed using ultra-performance liquid chromatography coupled with tandem mass spectrometry (UPLC–MS/MS) in SSAB. The quantitative results showed that 2,3,5,6-tetramethylpyrazine, 2,6-dimethylpyrazine and 2,3,5-trimethylpyrazine were the three most concentrated pyrazines. The highest odor activity value (OAV) was determined for 2-ethyl-3,5-dimethylpyrazine. Quantitative analysis combined with descriptive sensory analysis revealed that sub-threshold pyrazines (2,3-dimethylpyrazine, 2,3-diethylpyrazine, 2,3-diethyl-5-methylpyrazine and 2-acetyl-3-methylpyrazine) are significantly correlated with the roasted aroma in SSAB. Our study focused on the impact of sub-threshold pyrazines on the perception of roasted aroma in SSAB. The effect of the sub-threshold pyrazines was detected by the addition of various pyrazines in SSAB samples, despite their sub-threshold concentrations. Furthermore, the presence of sub-threshold pyrazines in dilute alcohol solution resulted in a significant reduction in the odor thresholds of supra-threshold pyrazines. Sensory investigation indicated that pyrazines have a synergistic effect on the perception of roasted aroma. The results highlighted the contribution of some pyrazines to the roasted aroma in SSAB despite their sub-threshold concentrations.

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