Investigation of Liquid Oils Obtained by Thermo-Catalytic Degradation of Plastic Wastes in Energy Recovery by Mihaela Vlassa, Miuța Filip, Simion Beldean-Galea, Didier Thiébaut, Jerôme Vial, Ioan Petean

“…The most efficient technique for resolving the issue of plastic waste disposal is by converting the wastes into high-quality liquid oils through thermal and catalytic pyrolysis. …”
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A computerized tool for the kinematic limit analysis of 2D masonry structures failing on a tilting table by Yiwei Hua, Martina Buzzetti, Natalia Pingaro, Luis C.M. da Silva, Gabriele Milani

“…Additionally, the self-dual linear programming approach enables the evaluation of internal actions. …”
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Un indicateur global d’évaluation de la vulnérabilité écologique du milieu le long de grandes infrastructures linéaires : Pourquoi ? Comment ? by Émilie Lorant-Plantier

“…According to the legislation, natural habitat and biodiversity has to be considered for main linear infrastructure projects. Nevertheless, this requirement is often difficult to fulfill due to the inherent characteristics of these projects and the lack of efficient tools to evaluate ecological vulnerability. …”
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基于MATLAB的最大误差双圆弧逼近曲线的算法及实现 by 丁克会, 席平原

“…Joining optimization with linear search,the nodes are solved by programming in Matlab software. …”
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A Delicate Balance. Meritocracy and Participation in Sir Stafford Cripps by Damiano Lembo

“…The essay takes into account the delicate relationship between meritocratic principles and participatory instances within the socialist and democratic political conception of Stafford Cripps, not always coherent and linear. In his opinion, on the one hand, the skills of deserving ruling classes were a fundamental requirement of an efficient economic policy, useful for everyone; on the other hand, these skills had to be supported by the active participation of intellectual citizens who had to have the possibility to develop and express their abilities according to the logic of equal opportunities.…”
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CDFA: Calibrated deep feature aggregation for screening synergistic drug combinations by Xiaorui Kang, Xiaoyan Liu, Quan Zou, Quan Zou, Tiantian Li, Ximei Luo, Ximei Luo

“…This framework provides a robust computational tool for efficient and reliable drug combination screening.…”
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Vibration Control of Light Bridges Under Moving Loads Using Nonlinear Semi-Active Absorbers by Hamed Saber, Farhad S. Samani, Francesco Pellicano, Moslem Molaie, Antonio Zippo

“…A footbridge case study demonstrates significant vibration reductions using optimized nonlinear DVAs for lightweight bridges, showing broader frequency effectiveness than linear ones. The quadratic nonlinear DVA is the most efficient, achieving a 92% deflection reduction in the 1.5–2.5 Hz range, and under running and jumping reduces deflection by 42%.…”
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A Data-Driven Observer for Wind Farm Power Gain Potential: A Sparse Koopman Operator Approach by Yue Chen, Bingchen Wang, Kaiyue Zeng, Lifu Ding, Yingming Lin, Ying Chen, Qiuyu Lu

“…The approach is rooted in Koopman operator theory, which allows a linear representation of nonlinear dynamics. Specifically, a model is developed using an Input–Output Extended Dynamic Mode Decomposition framework combined with Sparse Identification (IOEDMDSINDy). …”
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Detection of Escherichia coli Using Bacteriophage T7 and Analysis of Excitation‑Emission Matrix Fluorescence Spectroscopy by Nicharee Wisuthiphaet, Huanle Zhang, Xin Liu, Nitin Nitin

“…These ML algorithms, including linear Support Vector Classifier (SVC) and Random Forest (RF), demonstrate high accuracy (>0.85) for detecting E. coli at 102 CFU/ml concentration within 6 h. …”
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Parametric Sensitivity of a PEM Electrolyzer Mathematical Model: Experimental Validation on a Single-Cell Test Bench by Pouya Beigzadeh Arough, Arianna Moranda, Ataollah Niyati, Ombretta Paladino

“…The most significant ones were estimated via non-linear least squares optimization to fine-tune the model. …”
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Separating the Location and Severity Effects in Frequency-Based Crack Detection Using the Dynamic Stiffness Matrix by Julian De Los Rios, Sinniah Ilanko, Yusuke Mochida, David Kennedy

“…This paper presents a mathematical proof of a linear determinantal relationship between the DSM of a skeletal frame when it is undamaged, cracked, and hinged at the crack location. …”
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Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data by Farhan Amir Fardush Sham, Ahmed El-Shafie, Wan Zurina Binti Wan Jaafar, S. Adarsh, Mohsen Sherif, Ali Najah Ahmed

“…The performance of several advanced machine learning models was assessed, with the Efficient Linear Support Vector Machine (ELSVM) showing the highest accuracy in daily rainfall forecasting, yielding an R² value of 0.3868, indicating its ability to effectively capture the variability in rainfall. …”
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Toward Automatic Detection of Pi2 Magnetic Pulsation Using Machine Learning by Mohamed S. Abdalzaher, Essam Ghamry, Khairul Adib Yusof, Mostafa Shaaban

“…A comprehensive analysis of various linear, ensemble, and non-linear ML models was conducted, employing hyperparameter optimization to identify the optimal model with high classification performance and minimal computational overhead during testing. …”
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Quantification and mapping of tyre wear emissions: from EU regional analysis to global projections by Yichen Sun, Jikke van Wijnen, Ad M.J. Ragas

“…While a simplified Ordinary Least Squares (OLS) model identified key linear drivers, a more advanced Random Forest (RF) model demonstrated significantly higher predictive accuracy (LOOCV R2 > 0.7 for major vehicle types), revealing the complex, non-linear nature of emission drivers. …”
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Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System. by Vessela Krasteva, Irena Jekova, Remo Leber, Ramun Schmid, Roger Abächerli

“…Stage 1 makes computationally-efficient classification of SVB-beats, using simple correlation threshold criterion for finding close match with a predominant normal (reference) beat template. …”
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Modeling and mapping under-nutrition among under-five children in Ethiopia: a Bayesian spatial analysis by Fekade Getabil Habtewold, Butte Gotu Arero

“…Four models were considered: Generalized Linear Model (GLM), Generalized Linear Mixed Models (GLMM), Intrinsic Conditional Autoregressive (ICAR), and Conditional Autoregressive Besag-York-Mollié (CAR BYM) with negative binomial distribution. …”
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IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition by George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris, Symeon Papadopoulos

“…To mitigate the speckle noise inherent in SAR images, we employ a denoising module based on a neural network approximation of Robust Principal Component Analysis (RPCA), leveraging a simple neural network for efficient noise reduction in SAR imagery. Moreover, a random projection layer improves the linear separability of features, and a variant of Linear Discriminant Analysis (LDA) decorrelates extracted class prototypes for better generalization. …”
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Sensitive Gold Nanostar-Based Adsorption Sensor for the Determination of Dexamethasone by Riccarda Thelma MacDonald, Keagan Pokpas, Emmanuel Iwuoha, Candice Cupido

“…Herein, a novel, highly efficient electrochemical adsorption method is introduced for detection of the potent anti-inflammatory synthetic corticosteroid, dexamethasone (DEX). …”
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Solid-contact ion-selective electrode for the determination of silver ions released from silver sulfadiazine in sodium hyaluronate formulations: evaluation of whiteness and greenne... by Manal Ibrahim, Nesrin K. Ramadan, Magda M. Ibrahim, Shereen A. Boltia

“…The slope, calculated from the linear portion of the calibration curve, was found to be 61.029 mV/decade, indicating near-Nernstian behavior. …”
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For Indirect Orthodontic Attachment Placement, Adding a Custom Composite Resin Base Is Not Beneficial: A Split-Mouth Randomized Clinical Trial by Mohamed S. Hassan, Fatma A. Abdelsayed, Amany H. Abdelghany, Zac Morse, Mai H. Aboulfotouh

“…Both techniques were efficient and reliable for indirect bonding.…”
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