Quantitative Analysis of Catch-Up Saccades During Sustained Pursuit

During visual tracking of a moving stimulus, primates orient their visual axis by combining two very different types of eye movements, smooth pursuit and saccades. The purpose of this paper was to investigate quantitatively the catch-up saccades occurring during sustained pursuit. We used a ramp-step-ramp paradigm to evoke catch-up saccades during sustained pursuit. In general, catch-up saccades followed the unexpected steps in position and velocity of the target. We observed catch-up saccades in the same direction as the smooth eye movement (forward saccades) as well as in the opposite direction (reverse saccades). We made a comparison of the main sequences of forward saccades, reverse saccades, and control saccades made to stationary targets. They were all three significantly different from each other and were fully compatible with the hypothesis that the smooth pursuit component is added to the saccadic component during catch-up saccades. A multiple linear regression analysis was performed on the saccadic component to find the parameters determining the amplitude of catch-up saccades. We found that both position error and retinal slip are taken into account in catch-up saccade programming to predict the future trajectory of the moving target. We also demonstrated that the saccadic system needs a minimum period of approximately 90 ms for taking into account changes in target trajectory. Finally, we reported a saturation (above 15°/s) in the contribution of retinal slip to the amplitude of catch-up saccades.

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PENGARUH ELEMEN GOOD GOVERNANCE TERHADAP TINGKAT KORUPSI DI ASIA TENGGARA

Jurnal Akuntansi dan Keuangan ◽

10.23960/jak.v25i1.242 ◽

2020 ◽

Vol 25 (1) ◽

pp. 96-114

Author(s):

Dinda Ayu Dizrisa ◽

Sudrajat Sudrajat ◽

Niken Kusumawardani

Keyword(s):

Rule Of Law ◽

Good Governance ◽

Linear Regression Analysis ◽

Political Stability ◽

Multiple Linear Regression Analysis ◽

Economic Problem ◽

Regulatory Quality ◽

The Government ◽

And Control ◽

Control Of Corruption

Corruption is a complex social, political and economic problem and occurs in every country with different levels. Corruption will complicate democracy and governance of a country. To overcome the problem of corruption, the government must implement good governance. This study aims to provide empirical evidence regarding the effect of elements of good governance on the level of corruption in Southeast Asia. Good governance variables are presented by six variables: voice and accountability, political stability and absence of violence / terrorism, government effectiveness, regulatory quality, rule of law and control of corruption. Meanwhile, the level of corruption is measured using the Corruption Perceptions Index (CPI). The research sample was selected using the purposive sampling method and produced a sample of 8 countries and the observation period was carried out in 2009-2018 or as many as 10 years, so the number of samples in this study were 80 samples. Corruption level data used in this study uses the Corruption Perceptions Index (Transparency International), while the good governance data used in this study uses the Worldwide Governance Indicators (World Bank). The research methodology used in this study is multiple linear regression analysis with the IBM SPSS Statistics 24 program. The results showed that the variable voice and accountability, political stability and absence of violence / terrorism, and rule of law had no effect on the level of corruption, whereas the government variable effectiveness, regulatory quality, and control of corruption affect the level of corruption.

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ANALISIS PENGARUH DANA ALOKASI UMUM (DAU) DAN PENDAPATAN ASLI DAERAH (PAD), TERHADAP PERTUMBUHAN EKONOMI DI KABUPATEN DELI SERDANG DENGAN BELANJA DAERAH SEBAGAI VARIABEL INTERVENING

At-tijaroh: Jurnal Ilmu Manajemen dan Bisnis Islam ◽

10.24952/tijaroh.v5i2.1888 ◽

2019 ◽

Vol 5 (2) ◽

pp. 247-260

Author(s):

Rahmat Daim Harahap ◽

Muhammad Ikhsan Harahap ◽

Meilya Evita Syari

Keyword(s):

Economic Growth ◽

Regression Analysis ◽

Linear Regression ◽

Quantitative Research ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Regional Income ◽

The Government ◽

And Control

The government hold significant role in the implementation of fiscal economy policy to achieve the main goal of development: high economic growth, decrease of unemployment, and control of inflation, income and expenditure that can be used in increasing economic growth. Regional incomes are locally-generated revenue, General Allocation Fund. Meanwhile, cost is regional expenditures. Thus, this study is aimed to determine the influence of the General Allocation Fund and Regional income on economic growth with the role of Regional Expenditure as an intervening variable. The study was located on Deli Serdang Regency. This is a quantitative research with multiple linear regression analysis by using SPSS. The result shows that General Allocation Fund and Regional income influence the economic growth, meanwhile regional expenditures mediates between General Allocation Fund and Regional income on economic growth.

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A Review of Customer Loyalty: An emperical study at CV Bintang Jaya Abadi

Indonesian Journal of Business Analytics ◽

10.54259/ijba.v1i2.68 ◽

2021 ◽

Vol 1 (2) ◽

pp. 161-182

Author(s):

Nora sari Liandy

Keyword(s):

Customer Satisfaction ◽

Product Quality ◽

Customer Loyalty ◽

Business Performance ◽

Sampling Method ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Customer Perception ◽

Data Measurement ◽

Different Types

The number of different types of businesses that are starting to emerge in Indonesia shows that business development is now accelerating. As a result of the recent increase in the number of enterprises, a lot of businesses will confront strong rivalry in every aspect of their operations in today's market. As a result, every company must be adept and compete fiercely when dealing with competition. However, the predominant problem that could effects the company sustain is through there product quality, customer perception of price as well as customer satisfaction which could effect the customer loyalty. In aim to learn more about this issue, this reseacrh is intended to investigate the effects of product quality, perception of price and customer satisfaction on customer loyalty at CV Bintang Jaya Abadi, Medan. By using a quantitative approach, the sampling method is done by using the Lemeshow formula. Thus, the samples that were taken are 96.04 = 100 respondents. In analyzing all the data, SPSS 25.0 was being conducted in this research and the data was collected by distributing online questionnaires, the data measurement used the 5-point Likert scale to measure all (19) indicators. Besides that, multiple linear regression analysis was utilized in this reseacrh. Based on the results of this reseacrh, it shows that the Product quality (X1) and Customer Loyalty (Y) variables have negative and no significant effect. However, Perception of Price (X2), Customer Satisfaction (X3) and Customer Loyalty (Y) variables have positive and significant effect. This indicates that enterprise should take this factors in implementing the decision or technique towards the business performance in order to achieve the maximum results aswell as to improve the company development.

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PENGARUH DIMENSI FRAUD DIAMOND DAN RELIGUISITAS TERHADAP PERILAKU KECURANGAN AKADEMIK MAHASISWA

Jurnal Akuntansi Trisakti ◽

10.25105/jat.v5i2.4857 ◽

2019 ◽

Vol 5 (2) ◽

pp. 269

Author(s):

Sistya Rahmawati ◽

Dini Susilawati

Keyword(s):

Regression Analysis ◽

Linear Regression Analysis ◽

Sampling Technique ◽

Multiple Linear Regression Analysis ◽

The Other ◽

Accounting Students ◽

Primary Data ◽

Academic Fraud ◽

And Control ◽

Accounting Student

This study aims to examine the factors that influence toward behavior of academic fraud by students accounting in the faculty of economics and business by using diamond fraud dimensions consisting of pressure, opportunity, rationalization, capabilities and level of religuisity.This study is using purposive convinience method, convience sanpling is a non-probability sampling technique where subjects are selected because of their convenient accessibility and proximity. Data used in this research is primary data by using questionnaire. The sample of this study is the accounting student of the faculty of economics and business of university in jakarta. This research uses multiple linear regression analysis at hypothesis testing. The result of this research shows that the opportunity, capability and level of religuisity have influence to the academic fraud behavior of the accounting students of the faculty of economics and business while the other variables such as pressure, rasionaliation and control variables have no influence on the behavior of academic fraud.

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Interaction Between Smooth Anticipation and Saccades During Ocular Orientation in Darkness

Journal of Neurophysiology ◽

10.1152/jn.00675.2002 ◽

2003 ◽

Vol 89 (3) ◽

pp. 1423-1433 ◽

Cited By ~ 26

Author(s):

Gunnar Blohm ◽

Marcus Missal ◽

Philippe Lefèvre

Keyword(s):

Eye Movements ◽

Smooth Pursuit ◽

Time Course ◽

Motor Command ◽

Visual Axis ◽

Anticipatory Eye Movements ◽

Saccade Programming ◽

The Moment ◽

Retinal Information ◽

Movement Integration

A saccade triggered during sustained smooth pursuit is programmed using retinal information about the relative position and velocity of the target with respect to the eye. Thus the smooth pursuit and saccadic systems are coordinated by using common retinal inputs. Yet, in the absence of retinal information about the relative motion of the eye with respect to the target, the question arises whether the smooth and saccadic systems are still able to be coordinated possibly by using extraretinal information to account for the saccadic and smooth eye movements. To address this question, we flashed a target during smooth anticipatory eye movements in darkness, and the subjects were asked to orient their visual axis to the remembered location of the flash. We observed multiple orientation saccades (typically 2–3) toward the memorized location of the flash. The first orienting saccade was programmed using only the position error at the moment of the flash, and the smooth eye movement was ignored. However, subsequent saccades executed in darkness compensated gradually for the smooth eye displacement (mean compensation ≅ 70%). This behavior revealed a 400-ms delay in the time course of orientation for the compensation of the ongoing smooth eye displacement. We conclude that extraretinal information about the smooth motor command is available to the saccadic system in the absence of visual input. There is a 400-ms delay for smooth movement integration, saccade programming and execution.

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Effect of Gamified Mobile Applications and the Role of Player Types on the Achievement of Students

Journal of Educational Computing Research ◽

10.1177/07356331211065679 ◽

2022 ◽

pp. 073563312110656

Author(s):

Feray Ugur-Erdogmus ◽

Recep Çakır

Keyword(s):

Undergraduate Students ◽

Design Research ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Mobile App ◽

Control Group ◽

Achievement Scores ◽

Control Group Design ◽

Significant Difference ◽

And Control

The purpose of this study was to examine a gamified mobile application’s effect on students’ achievement, and whether the player types of the students predicted their achievement scores. A “pretest-posttest control group design” research was conducted with 65 undergraduate students taking a compulsory online course. In the study, a gamified mobile app was developed by the researchers and then applied within an online History I course. The results of the study showed no significant difference between the achievement scores of the Experimental Group and Control Group students. However, multiple linear regression analysis results showed that the Experimental Group’s students’ achievement scores were significantly predicted by the player types they used and their mobile app performance. It is argued, therefore, that this result underlines the importance of player type in designing effective mobile gamification apps for the purpose of learning. Suggestions for further studies are also provided.

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Family Environment as Predictor of Adolescents’ Loneliness

European Psychiatry ◽

10.1016/j.eurpsy.2017.01.259 ◽

2017 ◽

Vol 41 (S1) ◽

pp. S82-S82

Author(s):

M. Balážová ◽

I. Gallová ◽

J. Praško ◽

M. Šlepecký ◽

A. Kotianová

Keyword(s):

Family Environment ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Cognitive Empathy ◽

Self Confidence ◽

Opposite Sex ◽

Empathy Scale ◽

Competing Interest ◽

Basic Empathy Scale ◽

And Control

IntroductionAt the present time, adolescents are in particular vulnerable to feelings of loneliness. They are gradually emancipating from their family and establish relationships with peers. Among the important predictors of loneliness belong genetic and personal variables and factors of social environment.Objectives and aimsTo examine predictors of adolescents’ loneliness which are located in family environment. To find out how empathy, emotional relationship and control by both of parents contribute to loneliness of adolescent boys and girls.MethodsWe examined 206 adolescents in the age from 10 to 18 years through Basic Empathy Scale, Parenting Style Scale and UCLA Loneliness Scale. Stepwise multiple linear regression analysis was used for data analysis.ResultsThe significant predictors of boys’ loneliness in family environment are emotional relationship of mother and affective empathy of father. The significant predictors of girls’ loneliness include emotional relationship and cognitive empathy of father. Parental control is not a significant predictor of adolescents’ loneliness.ConclusionAdolescents’ loneliness is largely influenced by factors of family environment. Our study highlights the role of emotional relationship provided by the opposite sex parent. Cold behavior of the opposite sex parent could reduce self-esteem and self-confidence of adolescents. Both could help them establish relationships with peers and people outside family, thus protecting them against loneliness. A significant predictor of boys’ and girls’ loneliness is also empathy of father. We recommend to make use of our findings in clinical practice with adolescents, in family therapy as well as in context of attachment.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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The effects of greenhouse gas emissions and governance factors on corporate socially responsibility disclosure

Corporate Ownership and Control ◽

10.22495/cocv12i2p8 ◽

2015 ◽

Vol 12 (2) ◽

pp. 92-106 ◽

Cited By ~ 5

Author(s):

Nikolaos Sariannidis ◽

George Konteos ◽

Grigoris Giannarakis

Keyword(s):

Greenhouse Gas ◽

Linear Regression Analysis ◽

Ghg Emissions ◽

Multiple Linear Regression Analysis ◽

The United States ◽

Different Types ◽

Dow Jones Sustainability Index ◽

Csr Disclosure ◽

The Impact ◽

The Relationship

This paper investigates the impact of a plausible set of determinants, namely, greenhouse gas (GHG) emissions, Dow Jones Sustainability Index (DJSI), anti-bribery policy, the industry’s profile and the company’s size on the extent of CSR disclosure in the United States (US). The Environmental, Social and Governance (ESG) disclosure score is used as a proxy for the extent of CSR disclosure calculated by Bloomberg, incorporating different - in terms of importance - disclosure items. The relationship between the extent of CSR disclosure and its determinants was examined using multiple linear regression analysis incorporating 133 companies listed in S&P Composite 1500 Index for the year 2011. The results illustrate that the company’s size, GHG emissions, DJSI and anti-bribery policy are significantly positively associated with the extent of CSR disclosure. In addition, there are significant differences among the industries’ profile concerning the extent of CSR disclosure. The results cannot be generalized because the sample is based on US listed companies for the year 2011. This study presents initial empirical data investigating different types of disclosures and determinants which extend the scope of previous studies

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Chemometric analysis of metal contents in different types of chocolates

Acta periodica technologica ◽

10.2298/apt1445129j ◽

2014 ◽

pp. 129-139 ◽

Cited By ~ 1

Author(s):

Lidija Jevric ◽

Sanja Podunavac-Kuzmanovic ◽

Jaroslava Svarc-Gajic ◽

Strahinja Kovacevic

Keyword(s):

Linear Regression Analysis ◽

Predictive Ability ◽

Multiple Linear Regression Analysis ◽

Chemometric Analysis ◽

High Agreement ◽

Metal Contents ◽

Different Types ◽

Validation Procedure ◽

Predicted Values

The relationships between the contents of various metals (Cu, Ni, Pb and Al) in 38 different milk chocolate samples were studied using a chemometric approach. The chemometric expressions were generated using a training set of 25 chocolate samples and the predictive ability of the resulting models was evaluated against a test set of 13 chocolate samples. The chemometric analysis was based on the application of multiple linear regression analysis (MLR). MLR was performed in order to select the significant models for predicting the metal contents. The MLR equations that represent the content of one metal as a function of the contents of other metals were established. High agreement between experimental and predicted values, obtained in the validation procedure, indicated the good quality of the models. It enables the researchers to establish reliable relationships between the contents of various metals which can be used for their prediction in different types of chocolate prior to their analysis. This can reduce the trial-and-error element and experimental costs in the production.

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Pengaruh Kompetensi, Komitmen Organisasional dan Employee Engagement Terhadap Kinerja Pegawai PDAM Tirta Khatulistiwa Pontianak

Jurnal Ekonomi Bisnis dan Kewirausahaan ◽

10.26418/jebik.v7i3.26875 ◽

2018 ◽

Vol 7 (3) ◽

pp. 202

Author(s):

Ahmad Shalahuddin

Keyword(s):

Organizational Commitment ◽

Linear Regression ◽

Multiple Linear Regression ◽

Employee Engagement ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Analysis Technique ◽

Production Distribution ◽

And Control ◽

Research Type

This study aims to analyze the models related to the influence of Competency, Organizational Commitment and Employee engagement on performance. This research is a survey research with an explanatory research type. The population in this study were employees of the Engineering Division, namely the Division of Production, Distribution and Control of Water Loss. The number of respondents was 60 employees using the proportionate random sampling method. The analysis technique used is Multiple Linear Regression. The results of multiple linear regression analysis show that competency is influential but not significant to performance. While both organizational commitment and employee engagement have a positive and significant effect on performance. Organizational commitment has the greatest influence on the performance of employees of PDAM Tirta Khatulistiwa Pontianak.

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