Membrane Assisted Simultaneous Extraction and Derivatization with Triphenylphosphine of Elemental Sulfur in Arabian Crude Samples by Gas Chromatography/Mass Spectrometry by Ibrahim Al-Zahrani, Munzir H. Aneel Mohammed, Chanbasha Basheer, Mohammad Nahid Siddiqui, Abdulrahman Al-Arfaj

“…Various experimental conditions of solvent bar microextraction (SBME) were optimized to achieve higher extraction. The linear range was established between 1 and 50 μg/mL, while a squared regression coefficient was found to be 0.9959 μg/mL. …”
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Association between gastric polyps and decreased bone mineral density in patients with chronic gastritis by Guotao Liu, Jianyuan Zhang

“…Osteopenia or osteoporosis was defined as decreased BMD. Linear regression analysis was employed to assess the relationship between BMD with gastric polyps. …”
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Análise da eficiência e produtividade dos tribunais regionais federais brasileiros: uma abordagem quantitativa com dados de 2023 by João Pedro Pereira Passos

“…Utilizando técnicas estatísticas como Análise de Variância, correlação de Spearman e regressão linear múltipla, os resultados indicam que a sobrecarga de casos novos afeta negativamente a eficiência dos tribunais. …”
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Lives Without a Last Stop Rural Migrant, Return Migration, and Practice of Multiple Place by Cenk Beyaz

“…This experience constitutes a close position to the value-oriented rationalism in Weber’s words; the decision making processes of an individual becomes possible by self-sacrifices made by the migrant between rationalism and irrationalism or beyond cost-benefit or linear and analytical rationalism foreseen by modernism. …”
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Tropical glacier reconstructions during the Last Glacial Maximum in Costa Rica by Adolfo Quesada-Román, Néstor Campos, Sebastián Granados-Bolaños

“…Additionally, a Generalized Linear Model (GLM) was performed to statistically analyze the paleoglacier volumes and ice thickness combined with ten land surface parameters (LSP). …”
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Adrenal venous sampling outcomes with and without mineralocorticoid receptor antagonists in primary aldosteronism by Sittikul Thipbumrung, Worapaka Manosroi

“…Outcomes included differences in LI, plasma renin activity (PRA) levels before AVS, and post-adrenalectomy outcomes. Linear regression analysis clustered by subtypes of PA was used to adjust for confounders. …”
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On a special case of synthesis of metal turning process control system by Victor P. Lapshin, Tatyana S Babenko, Veronika V Khristoforova

“…A fundamentally new mathematical model considering non-linear processes of the force changes is developed to simulate the system and allowance for the effect of the engine parameters. …”
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Constant Modulus Wideband MIMO Radar Waveform Design for Transmit Beampattern and Angular Waveform Synthesis by Hao Zheng, Xiaoxia Zhang, Shubin Wang, Junkun Yan

“…A linear frequency modulation (LFM) signal and its corresponding de-chirp operation are one of the basic methods for wideband radar signal processing, which can reduce the burden of the radar system sampling rate and is more suitable for large-bandwidth signal processing. …”
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A study protocol for a pragmatic pre-post trial to determine the feasibility and effectiveness of a novel co-designed service to support health and wellbeing of older carers of old... by Aislinn Lalor, Susan Slatyer, Elissa Burton, Christina Bryant, Déborah Oliveira, Anjali Khushu, Natasha Brusco, Natasha Layton, Den-Ching Angel Lee, Belinda Cash, Jacqueline Allen, Lisa Licciardi, Keith D Hill

“…The target sample size is 137 carers undertaking assessment and intervention over the 15 months data collection. Generalised linear regression will be used to compare pre- and post-continuous outcome measures. …”
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Assessment of soil fertility and nutrient distribution for enhanced soil health and field management through an innovative approach by Amir Bostani, Amin Mohebbi Tafreshi, Mohammad Hosein Bijeh Keshavarzi

“…In ArcGIS 10.8, the fuzzy linear membership function was used to standardize these maps within the range of 0–1. …”
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Using artificial intelligence methods for shear travel time prediction: A case study of Facha member, Sirte basin, Libya by Bahia Ben Ghawar, Moncef Zairi, Samir Bouaziz

“…In this study, cross-plots between the available measured shear travel time and compressional travel time from three oil wells were used, and three artificial intelligence tools (fuzzy logic, multiple linear regression and neural networks) were applied to predict the shear travel time of Facha member (Gir Formation, Lower Eocene) in Sirte Basin, Libya. …”
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Correlation Analysis of Macroscopic and Microscopic Parameters of Coal Measure Soil Based on Discrete Element Method by Hong Zhang, Wei Liao, Junbo Lin, Bang Zhang, Haoran Feng

“…Peak value of the deviatoric stress of test specimens increased with increasing friction coefficient, and before reaching the deviatoric stress peak value, the stress-strain relationship of the soil body basically presented a linear variation trend; the soil interparticle contact stiffness varied hyperbolically with the deviatoric stress peak value of test specimens, and the increasing contact stiffness ratio led to a gradual decrease of the deviatoric stress peak value but had only a small impact on the residual strength of test specimens; confining pressure was found to have remarkable influence on both the deviatoric stress peak value and the residual strength of test specimens; when the experimental confining pressure increased from 0.2 MPa to 1.2 MPa, the deviatoric stress peak value and the residual strength of test specimens increased by 2.14 times and 5.11 times, respectively. …”
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Comparative Study of the Effects of 1% Atropine on the Anterior Segment by Yue Zhou, Xiao Bo Huang, Qi Cai, Jun Jie Li, Yao Jia Xiong, Ye Xun Gong, Li Wei Lin, Yan Zhu, Zhi Min Sun

“…Anterior segment parameters were obtained by UBM before and after the instillation of 1% atropine. Univariate linear regression was performed to identify the variables contributing to the changes in the trabecular meshwork-iris angle (TIA). …”
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Comparative Study of Pathomorphological Changes in Animal Lung Tissue when Modeling Infection Caused by the SARS-CoV-2 Virus by A. V. Shipovalov, G. A. Kudrov, E. K. Ivleva, V. V. Omigov, O. V. P’yankov, O. S. Taranov

“…The experiments were carried out on linear and transgenic mice, Syrian hamsters, guinea pigs, ferrets and two types of primates: rhesus macaques and green monkey. …”
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The evolution of large gullies in association with long-term rainfall in the Tsitsa River Catchment, Eastern Cape, South Africa by Ryan Leigh Anderson, Jay le Roux, Kate Rowntree

“…The first phase (1950–2004) was mainly characterised by the linear lengthening of the gully systems. The second phase (2004–2020) is mainly characterised by the initiation and growth of side branches in the gullies, with greater increases in extent. …”
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Interactive Effects of Major Insect Pest of Watermelon on its Yield in Wukari, Nigeria by Emmanuel Okrikata, E. Oludele Ogunwolu, J. Itohan Otabor, A. Oyewole Ogunmola

“…The relationship between the dominant insect pests and fruit yield were determined by correlation (r) and linear regression (simple and multiple) analyses. …”
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Development of Remote-Controlled Self-Propelled Flax Windrow Turner by S. V. Solovyov, V. Yu. Romanenko, V. G. Chernikov

“…(Materials and methods) The study provides a theoretical basis for the conveyor's linear speed in relation to the rectilinear motion of the flax turner. …”
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Identification of fungal diseases in strawberry by analysis of hyperspectral images using machine learning methods by A. F. Cheshkova

“…Five machine learning methods were considered to differentiate between healthy and diseased leaf areas: Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Linear Discriminant Analysis (LDA), Partial Least Squares Discriminant Analysis (PLS-DA), and Random Forest (RF). …”
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A Hybrid Framework Integrating Traditional Models and Deep Learning for Multi-Scale Time Series Forecasting by Zihan Liu, Zijia Zhang, Weizhe Zhang

“…We design a dual-stage forecasting process, where a classical time series component first models transparent linear trends and seasonal patterns, and a deep neural network then learns complex nonlinear residuals and long-term contexts. …”
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A systematic literature review of aggregate production planning (APP): Social and economic perspectives by Wan Yee Leong, Kuan Yew Wong, Ali Anjomshoae

“…Findings: The outcome shows that most of the previous studies applied mixed-integer linear programming (MILP) methods in developing the APP models while stochastic and fuzzy methods are the most common approaches to deal with uncertainties. …”
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