Numerical Model of Cutting Tool Blade Wear by Shvets S. V., Machado J.

“…It turned out that the dependences of wear on the flank h3 on the main φ and the auxiliary φ1 angles in the plan are linear. With increasing angles φ, φ1, α, and α1 decreases the work Uh required to achieve given wear on the flank h3, and with increasing angles γ and λ, such work increases. …”
Get full text

Modelling of Green function in a rectangular room based upon the geometrical-filtration model by R. Marczuk, L. Majkut

“…For inhomogenous wave equation with function $δ(x-y)δ(t-τ) as excitation, Green's function corresponds to the impulse response of linear system described by this equation. This paper presents a Green function (impulse response) approximation method based on combined room acoustics model. …”
Get full text

Experimental method to predict avalanches based on neural networks by V. V. Zhdanov

“…Classification of winter precipitations into dangerous snowfalls and non‑dangerous ones was performed by two following ways: the linear discriminant function (canonical analysis) and artificial neural networks. …”
Get full text

Performance Comparison of Wavefront-Sensorless Adaptive Optics Systems by Using of the Focal Plane by Huizhen Yang, Zhen Zhang, Jian Wu

“…The first algorithm is designed through the linear relationship between the second moment of the aberration gradients and the masked far-field intensity distribution and the second is stochastic parallel gradient descent (SPGD), which is the most commonly used algorithm in wavefront-sensorless AO systems. …”
Get full text

Performance of weather research forecasting model for seasonal prediction of precipitation over Indonesian maritime continent

“…The modification includes adjusting the dynamic model parameters and settings to better reflect atmospheric conditions in the IMC region, applying bias correction techniques through a linear scaling method, aligning the monthly average of the model's output with observational data, and conducting statistical analysis in several areas within the IMC. …”
Get full text

Automated Dance Scoring Algorithm Using Alignment and Least Square Approximation with Fractional Power of Joint Features by Chen-Jhen Fan, Han-Hui Jeng, Bing-Ze Li, Jian-Jiun Ding

“…The least mean square error approximation is also applied to determine the linear combination coefficients of the features. The difference between the ground truth and the interpolated results from the regression line is minimized using the input features. …”
Get full text

The complex equation of education, job security, and corporate scale: an empirical analysis of South Korean youth by Seonkyung Choi, Keiichi Ogawa, Kazufumi Yugami

“…We examine the relationship among education, job security and corporate scale in South Korea, extending previous research focused on wages and using Linear Provability Model and the Conditional Expectation Correction Method to address potential endogeneity issues. …”
Get full text

The neurocognitive mechanism underlying math avoidance among math anxious people by Jie Liu, Zhifeng Li, Jiawang Yang, Hao He, Fang Cui

“…Using an approach-avoid conflict paradigm and both general linear mixed model and Hierarchical Drift Diffusion Model (HDDM) regression analyses, we found their avoidance behavior is primarily driven by heightened sensitivity to task difficulty, rather than reward sensitivity. …”
Get full text

Suppression Method for Smeared Spectrum Jamming Based on Lv’s Distribution Combined with Biorthogonal Fourier Transform by Zhenming Wen, Guohong Wang, Hongbo Yu

“…Smeared spectrum (SMSP) jamming is a deceptive jamming technique commonly used against linear frequency modulation (LFM) radar. This technique produces high-density false targets that resemble a comb shape after pulse compression processing, resulting in both deceiving and suppressing effects. …”
Get full text

A Nonlinear Method for Component Separation of Dam Effect Quantities Using Kernel Partial Least Squares and Pseudosamples by Wenzhong Yin, Erfeng Zhao, Chongshi Gu, Hao Huang, Yang Yang

“…The presented results indicate that it is more reliable than traditional multiple linear regression models.…”
Get full text

Robust Frequency Control of Microgrids: A Mixed H2/H∞ Virtual Inertia Emulation by Shahryar Maleki, Javad Nikoukar, Mohammad Hassan Tousifian

“…To cope with these challenges, by employing the proposed linear matrix inequality (LMI)-based mixed H2/H∞ robust method, an optimal robust controller aided for inertial support as well as fast frequency restoration is provided. …”
Get full text

The Influence of Organizational Culture and Work ethic on Employees' Performance at Mayangkara Group Company by Handoyo Mewahaini, Helena Sidharta

“…This research uses quantitative research method and data analysis uses multiple linear regression analysis by using SPSS 25 statistical tool. …”
Get full text

Uncovering gene and cellular signatures of immune checkpoint response via machine learning and single-cell RNA-seq by Asaf Pinhasi, Keren Yizhak

“…SHAP value analysis of these genes uncovered diverse gene-pair interactions with non-linear and context-dependent effects. Finally, we developed a reinforcement learning model to identify the most informative single cells for predictivity. …”
Get full text

Parking Demand Prediction Method of Urban Commercial-Office Complex Buildings Based on the MRA-BAS-BP Algorithm by Xiang Tang, Jianxiao Ma, Shun Zhou, Tianci Shan

“…As there are complicated linear and nonlinear relationships between parking demand and influencing factors, it is difficult to accurately predict parking demand using a single multiple regression analysis (MRA) model. …”
Get full text

The Influence of Traditional Market Revitalization on Traders' Income (Case Study of Morning Market Traders in Samarinda City) by Salsabila Salsabila, Dini Zulfiani

“…The sampling method used is the random sampling technique, the data collection technique used is a questionnaire and documentation, and the data analysis used is simple linear regression. The results of the study indicate that there is a moderate level of influence between the market revitalization variable and traders' income, the index results of which are at 0.40 - 0.599. …”
Get full text

Fingerprint of anthropogenic climate change detected in long-term western North American fire weather trends by Laura E. Queen, Sam Dean, Dáithí Stone, Piyush Jain, James Renwick, Nathanael Melia, Yukiko Imada

“…Considering the full spatiotemporal response to thermodynamic and dynamic climate change, we find that anthropogenic forcings have contributed 81–188% of the region’s observed increasing linear trend in fire weather over the last 50+ years. …”
Get full text

Hubungan Kedisiplinan, Lingkungan Kerja, dan Kompensasi Terhadap Prestasi Kerja Karyawan PG. Wonolangan Probolinggo by Mohammad Mirza Pratama, Wenny Dhamayanthi, Fredy Eka Ardhi Pratama

“…Teknik analisa yang digunakan pada penelitian ini adalah regresi linear berganda. Dari hasil pengujian dapat disimpulkan bahwa: (1) Secara serempak Kedisiplinan, Lingkungan Kerja dan Kompensasi berpengaruh terhadap Prestasi Kerja (2) Secara parsial Kompensasi berpengaruh secara signifikan terhadap Prestasi Kerja sedangkan Kedisiplinan dan Lingkungan Kerja tidak berpengaruh signifikan terhadap Prestasi Kerja (3) Variabel yang paling dominan mempengaruhi Prestasi Kerja adalah variabel Kompensasi. …”
Get full text

A Comparison of Algorithms for Finding an Efficient Theme Park Tour by Elizabeth L. Bouzarth, Richard J. Forrester, Kevin R. Hutson, Rahul Isaac, James Midkiff, Danny Rivers, Leonard J. Testa

“…In this paper, we present a mixed-integer linear programming formulation of the TSP-TS and describe a branch-and-cut algorithm based on this model. …”
Get full text

Identification and discrimination tasks in auditory and visual perception of linguistic and non-linguistic stimuli by Mercedes Amparo Muñeton Ayala, Claudia Fernanda Vasquez, Adelina Estevez

“…Results suggest that the tasks’ performance has a linear trend regardless of the stimuli and modality. …”
Get full text

Predicting and comparing transcription start sites in single cell populations. by Shiwei Fu, Wei Vivian Li

“…It employs a Binomial generalized linear mixed model to accurately and efficiently detect differential TSS usage. …”
Get full text