Dynamic response and damage character of road embankment under strong earthquake by Jian Wang, Qimin Li, Changwei Yang, Caizhi Zhou

“…When the peak ground acceleration of ground motion is small, peak ground acceleration amplification factors will linearly increase from the toe to the top of the slope; then, it will step into non-linear amplification; when the peak ground acceleration of ground motion is large enough, it will transform from amplification to attenuation. …”
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Enhancing english oral translation through cross-modal learning and synchronous optimization. by Yan Wang

“…The cross-information between modalities is explored, and linear transformation optimization is performed on the self-attention mechanism in Transformer to achieve context-awareness and understanding of oral-transcribed text. …”
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Does engagement in healthy ageing differ according to gender? Community-based cross-sectional study by Sevinç Sütlü, Nurvet Büyükyörük

“…Descriptive statistics, t-test, Anova test and Forward Linear Regression analysis were used to evaluate the data. …”
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Adversarial training with GatedTabTransformer and the GAN to predict re-employment factors of Korean male workers after an industrial accident by Haewon Byeon

“…Methods: We compared the performance of the proposed model against traditional machine learning techniques, including logistic regression, k-nearest neighbors, support vector machine, linear discriminant analysis, random forest, bagging, adaptive boosting and extreme gradient boosting on a dataset of 1383 male workers after an industrial accident. …”
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A avaliação da lei complementar n° 233/2005 em relação a exploração sustentável das florestas em Mato Grosso: sua eficácia nas políticas ambientais no Brasil by Alessandra Maria Filippin dos Passos Santos, Aumeri Carlos Bampi, Wylmor Constantino Tives Dalfovo

“…To analyze the behavior of deforestation in relation to the independent variables, a multiple linear regression model was used. The estimation resulted in a positive relationship between management and deforestation, demonstrating the feeling of false legality. …”
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Four new Planothidium species (Achnanthidiaceae, Bacillariophyceae) from the Karst region of Guizhou in China by Yun Li, Lin-Xin Lu, Hui-Wen Zhou, Pan Yu, John Patrick Kociolek, Wan-Ting Pang, Quan-Xi Wang, Qing-Min You

“…Planothidium pseudoreichardtii sp. nov. exhibits a broad sinus at the central area on the interior of the rapheless valve, linear shallow depressions and a unique enlarged areola at the end of the striae on the exterior rapheless valve. …”
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Rejuvenating the past: the significance of adaptive reuse for historical buildings in Kayutangan, Malang, Indonesia by Anthea Putri Yasmin, Herry Santosa, Jenny Ernawati

“…This study used a mean score test, factor analysis, and multiple linear regression to determine the public’s preference for the suitability of adaptively reused building design with its function and increasing activities. …”
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Trends in Presentation and Clinical Phenotyping of Febrile Thrombocytopenia at a Tertiary Care Center in Bengaluru, India by Madhu P. Raj, Vishwanath Krishnamurthy, Eilene Basu, B. N. Nikhith, Vidya Nittur, Viren Raheja

“…Leukopenia and monocytosis were observed to have a significant linear increasing trend in frequency over the years. …”
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Exploring the Influence of Intelligent Personal Assistants on Brand Perception and Purchase Intentions Across Generations of Greek Consumers for Technology Products by Georgios FARMAKIS, George SPAIS

“…Box plots identified outliers, and linear regression analysis showed that humanized naming positively affected IPA adherence, with parasocial interaction mediating. …”
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Anti-corrosion performance of PANI and POEA coatings applied into 13% Cr stainless steel at 3.5% NaCl solution with neutral pH by Nacer Mounir, Malha NAZEF, Zakaria BAKA, Hamid YOUSFI

“…The corrosion resistance performance of the ZP, PANI, and POEA coatings was evaluated through potentiodynamic polarization, electrical impedance spectroscopy, open circuit potential (OCP), and linear polarization resistance (LPR) measurements in a long-term exposure to a 3.5% NaCl solution at pH 6.5. …”
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Association mapping of genetic network for plant morphological traits in cotton by MEI Yongjun, YU Jiwen, XUE Angli, FAN Shuli, SONG Meizhen, PANG Chaoyou, PEI Wenfeng, YU Shuxun, ZHU Jun

“…The association mapping was conducted using mixed linear model approaches for analyzing full genetic model with genetic effects of additive, dominance, epistasis and their environment interaction. …”
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Predictors of breakfast consumption among Iranian students: applying social cognitive theory by Shadi Askari, Nooshin Salimi, Ehsan Bakhshi

“…Data were analyzed using descriptive statistical tests, chi-square test, linear regression and correlation analysis in SPSS software version 16. …”
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Probability Statistical Model for Measured Ground Motion Based on Generalized Extreme Value Distribution by FENG Pengfei, ZHOU Mi, LI Zhixuan, ZHU Guoqiang

“…The effectiveness of the maximum likelihood estimation method and the linear moment estimation method, commonly used for estimating parameters of the extreme value distribution model, is assessed using the proposed generalized extreme value distribution model. …”
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Steiner eccentricity: Predictions and applications by Xingfu Li, Zongbo Yang, Siyi Lin, Jialu Wang

“…To circumvent this challenge, we propose a supervised regression model based on linear Support Vector Machines (SVMs), leveraging graph energy and average eccentricity as pivotal features. …”
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Development and validation of the methods for determination of tenophovir in the blood plasma of rabbits by Yu. V. Medvedev, G. V. Ramenskaya, I. E. Shokhin, T. A. Yarushok, M. A. Sheveleva

“…The standard curve was linear over the range 0.23 μg/ml to 112,98 μg/ml of tenofovir in plasma. …”
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A multivariate time series prediction model based on the KAN network by Yunji Long, Xue Qin

“…KANMTS leverages the non-linear mapping capabilities of KAN to improve the capture of complex patterns and dependencies in multivariate time series while maintaining the computational simplicity of MLP. …”
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Determination of Appropriate Extraction Methods for Available Iron, Copper, Zinc and Manganese in Acid Soils by Abdulkadir Sürücü, Gulen Özyazıcı, Mehmet Arif Özyazıcı, Veli Uygur

“…Plant available soil Fe, Cu, Zn, and Mn concentrations were determined by using 14 different chemical and 2 biological methods. The linear correlation coefficients between available Fe, Cu, Zn, and Mn concentrations determined through the chemical methods and the biological indexes indicated that the best extraction methods for cationic microelements in acid soils are: “0.05 N HCl + 0.025 N H2SO4’’ for Fe, ‘’0.005 M DTPA+0.01M CaCl2+0.1 M TEA (pH=7.3)’’ for Cu and Zn, and ‘’0.01 M CaCl2’’ for Mn.…”
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Mind wandering in sensory cortices by Shao-Min Hung, Po-Jang Hsieh

“…During 10 h of scanning of each participant, over 200 mind wander episodes were labelled in each participant. With linear support vector machine classification on mind-wandering episodes with exclusive sensory content, we found that decoding accuracy in content-corresponding sensory cortices was significantly higher, indicating the neural bases of the phenomenology of mind-wandering. …”
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THE USE OF PENALIZED WEIGHTED LEAST SQUARE TO OVERCOME CORRELATIONS BETWEEN TWO RESPONSES by Anna Islamiyati, Anisa Anisa, Muhammad Zakir, Nasrah Sirajang, Ummi Sari, Fajar Affan, Muhammad Jayzul Usrah

“…Estimation results show that the estimated two-response non-parametric regression function with penalized spline is a linear estimation class in y response observation and depends on the knot point and smoothing parameter. …”
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Early forecasting of vegetation health index in the Srepok basin based on meteorological and hydrological drought indices by Huynh Cong Luc, Luong Van Viet

“…The study aimed to forecast early the vegetation health index (VHI) in the Srepok river basin and evaluate the contribution of drought indices to the forecast accuracy. Stepwise Multiple Linear Regression (SMLR) is used to build forecast models. …”
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