What Factors Affect Tax Avoidance? by Monica Yuly Carrie, Meinie Susanty

“…This sample selection uses the purposive sampling method with 186 research data and uses multiple linear regression for hypothesis testing. Findings: The findings of this study indicate that audit committee, company size, leverage, and profitability affect tax avoidance, while the other 5 variables, namely institutional ownership, independent commissioners, sales growth, capital intensity, and CSR disclosure, have no effect on tax avoidance. …”
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Electrostatic analysis of the charged surface in a solution via the finite element method: The Poisson-Boltzmann theory by Shaghayegh Nikzad, Houshyar Noshad

“…Moreover, it is concluded that the absolute value of the electrostatic field obtained from the nonlinear PBE subject to the boundary condition with a fixed charge differs from that of the linear PBE at fixed potential by an order of magnitude in the vicinity of the finite rod-like macromolecule. …”
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Political Connections, Board Gender Diversity, and Institutional Ownership on Tax Avoidance by Joseph Febian Pontoh, Siti Kustinah

“…Data analysis techniques using multiple linear regression analysis, correlation coefficient, coefficient of determination, t test, f test using SPSS 26 software. …”
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Peranan Regulasi Diri Terhadap Stres Akademik Santri Tahfidz Al-Qur’an by Fauzul Adim Ubaidillah, Nur Hasan, Muhammad Ghiyats Rasyid

“…The data analysis of this study used a simple linear regression test. The results showed a negative correlation between self-regulation and academic stress (β = -0.161; p < 0.01) of students of Tahfidz Al Qur'an. …”
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Computational methods and dynamical analysis for studying ( 1 + 1 ) $(1 + 1)$ dimensional functional equations of mixed integro-differential type by Amr M. S. Mahdy, Mohamed A. Abdou, Doaa S. Mohamed

“…Then, the Fibonacci collocation method is applied to transform the Fredholm functional integro-differential equations into a system of linear algebraic equations. The convergence analysis of the functional integro-differential equations is discussed. …”
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The Effect of Trap Design on the Scalability of Trapped-Ion Quantum Technologies by Le Minh Anh Nguyen, Brant Bowers, Sara Mouradian

“…We introduce a simple multi-wafer geometry comprising a ground plane above a surface trap and compare the performance of this trap to a surface trap and a multi-wafer trap that is a miniaturized version of a linear Paul trap. We compare the voltage and frequency requirements needed to reach a desired radial trap frequency and find that the two multi-wafer trap designs provide significant improvements in expected power dissipation over the surface trap design in large part due to increased harmonicity. …”
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Fatigue and Stress as a predictors of Burnout in Health Care Professionals by Germano Gabriel Lima Esteves, Ana Adelaide Martins Leão, Esther de Oliveira Alves

“…Descriptive statistics, Chi-squared distribution test, Pearson correlation coefficient, and Multiple Linear Regression were used. The results indicated the prevalence of a low BS profile (69.5%), followed by a deteriorated BS profile (20.6%). …”
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A Three-Dimensional Microwave Sparse Imaging Approach Using Higher-Order Basis Functions by Nebojsa Vojnovic, Lorenzo Crocco, Marija Nikolic Stevanovic

“…Moreover, we compare the obtained results with other state-of-the-art linear imaging techniques. Notably, thanks to the adopted dictionary, the proposed algorithm can yield accurate images of both convex and concave objects.…”
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Dampak Kekuatan Informasi Film Ngenest terhadap Penilaian Komunitas Stand Up Indonesia di Jakarta by Rustono Faradi Marta, Angelina Suryani

“…The result shows that information strength on NGENEST The Movie has significant relation towards social judgment. The result of linear regression has been indicated by equation Y = 3,037 + 0,365 X1, with the result of hypotheses testing stating that the variable of information strength on NGENEST The Movie has significant impact on social judgment, contributing to 17,9 %. …”
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PENGARUH PROMOSI, CITA RASA, DAN PERSEPSI HARGA TERHADAP KEPUTUSAN PEMBELIAN PRODUK MILKMO by Andrew Winscott Suherman, Charly Hongdiyanto

“…Pengambilan sampel dilakukan dengan metode simple random sampling, penelitian ini menggunakan penelitian kuantitatif dengan menggunakan analisis regresi linear berganda. Dalam pehitungan uji t dan uji F maka dapat disimpulkan bahwa kualitas produk dan persepsi harga sama-sama berpengaruh signifikan terhadap keputusan pembelian Milkmo. …”
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Pengaruh Good Corporate Governance dan Investment Opportunity Set terhadap Kebijakan Dividen by Kadek Apriada, Putu Riska Wulandari

“…The analysis technique used in this research is multiple linear regression. The results of this research show that managerial ownership, institutional ownership, audit committee, and investment opportunity set have a positive effect on dividend policy. …”
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Social Factors Influencing Healthcare Expenditures: A Machine Learning Perspective on Australia’s Fiscal Challenges by Wei Gu, Zhantian Zhang, Ou Liu

“…While traditional statistical methods struggle to capture complex data relationships, machine learning offers a more robust approach to handling intricate and non-linear data. This study employs machine learning techniques to investigate the key determinants of healthcare expenditures in Australia from 2011 to 2021. …”
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Understanding What Drives Youth Interest in Agribusiness Jobs: A Study from Dukuh Dempok Village by Muhammad Noval Rojabi, Muksin

“…The data analysis employed a quantitative descriptive method, specifically multiple linear regression tests using SPSS. Hypothesis testing was performed using the t-test and F-test. …”
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Exploiting the Internal Resonance for the Vibration Suppression of Beams via Piezoelectric Shunt Circuits by Khaled Al-Souqi, Samir Emam, Khaled Kadri

“…The results show that the proposed design effectively suppresses the linear and nonlinear vibrations of the beam. The proposed absorber is space-efficient and does not add mass to the primary system, and hence, it has the potential in systems where the weight matters, such as aerospace applications.…”
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Visions and Revisions: The Multiple Lives of Mina Loy’s Lunar Baedeker by Diane Drouin

“…However, the teleological and linear perspective on Loy’s Lunar Baedeker, leading from the original volume of Lunar Baedecker to the variation of Lunar Baedeker and Time-Tables, then to a final “last” version and finally to an ultimate “lost” version, should be reconsidered. …”
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The Associations between Economic, Social and Cultural Capital and Social Distance Towards Refugees: A Comparative Study of Emerging Adults in Greece and Poland by Bartłomiej Walczak, Iwona Jakubowska-Branicka, Nikolaos Lampas

“…While economic capital did not significantly predict social distance, hierarchical linear modeling revealed associations with social capital—particularly its bridging form—and inherited cultural capital. …”
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Pengaruh Pemasaran Konten dan Reputasi Kampus terhadap minat berkuliah di UC Makassar by Andi Muhammad Budiman, Antonius Giovanni Lirungan, Gilbert Alvaro, Jonathan Andrew Hartono, Vincent Ciuwanto, Cipta Canggih Perdana

“…Data analysis was carried out using multiple linear regression to test the relationship between content marketing variables, campus reputation, and interest in studying. …”
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Enhancing Value: The Impact of Environmental, Social, and Governance Disclosure on Indonesian Basic Materials Sector Companies by Amelia Putri Salma Difa, Anissa Yuniar Larasati

“…The data analysis techniques used in the study are classical assumption test analysis, multiple linear regression test, correlation test, determination test, t test and f test using IBM SPSS 26 software. …”
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Towards using smartphones as hyperspectral cameras by D. Reutsky, A. Pogadaev, D. Vladimirov, E. Ershov

“…To find optimal filters, two algorithms are proposed: one learns linear regression for SR and the other learns fully connected neural network. …”
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Polynomial eigenvalue decomposition for eigenvalues with unmajorised ground truth – Reconstructing analytic dinosaurs by Sebastian J. Schlecht, Stephan Weiss

“…Utilising an inverse partial DFT and a linear assignment algorithm, the proposed EigenBone method retrieves analytic eigenvalues efficiently and accurately. …”
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