Acclimation Time Enhances Adaptation of Heterotrophic Nitrifying-Aerobic Denitrifying Microflora to Linear Anionic Surfactant Stress by Huihui Han, Peizhen Chen, Wenjie Zhao, Shaopeng Li, Keyu Zhang

“…Linear anionic surfactants (LAS) pose significant stress to microbial denitrification in wastewater treatment. …”
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Enhancing linear switched reluctance motor performance through stator winding overhang leakage flux integration by Nisha Prasad, Mahipal Bukya

“…Abstract High-speed rail transit systems are smoothly finding their way into the mainstream of public transport systems worldwide. The linear motors form an integral part of these transit systems. …”
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Prediction on Deposition Distance of Aligned Nanofibers during Near field Electrospinning with Linear Array Multi-nozzle by ZHANG Jiarong, WANG Zhifeng, WANG Han, YAO Honghui, LIN Yaru, WU Peixuan, LIN Canran

“…Linear array multinozzle nearfield electrospinning (NFES) directwriting is an efficient method for preparing large area aligned nanofibers And controlling the charged jets accurate deposition is crucial concerns during multinozzle NFES directwriting process In order to effectively investigate it, the influence of various parameters on the deposition distance of aligned nanofibers is studied by needle spacing, needle length, applied voltage and electrodetocollector distance With deposition process of multinozzle NFES, the model of deposition distance with two and three needles is proposed In addition, the multinozzle model of deposition distance is also obtained by analogy method The theoretical model shows a good agreement with experiment result, and which can guide to directwrite micro/nano structure in effective way with reliable experimental data and theoretical guidance in future…”
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Interpretable fuzzy model reference adaptive controller for linear MIMO systems: MATLAB implementation and simulation toolkit by Krzysztof Wiktorowicz, Jacek Kluska

“…We present a MATLAB-based software package for designing and simulating an interpretable fuzzy model reference adaptive controller (FMRAC) for linear multi-input-multi-output (MIMO) systems with partially known dynamics. …”
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High Linearity and Symmetry Ferroelectric Artificial Neuromorphic Devices Based on Ultrathin Indium‐Tin‐Oxide Channels by Siwei Wang, Xuemeng Hu, Baifan Qian, Jiajie Yu, Zhenhai Li, Qingqing Sun, David Wei Zhang, Qingxuan Li, Lin Chen

“…Abstract Because of the limitations of the von Neumann structure and transistor size scaling, it is important to find new materials to build ultra‐thin artificial synapse devices. …”
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RESTRICTED MAXIMUM LIKELIHOOD ESTIMATION FOR MULTIVARIATE LINEAR MIXED MODEL IN ANALYZING PISA DATA FOR INDONESIAN STUDENTS by Vera Maya Santi, Khairil Anwar Notodiputro, Indahwati Indahwati, Bagus Sartono

“…Thus, it requires an appropriate statistical analysis method such as the multivariate mixed linear regression (MLMM) model. In this study, secondary data from the results of the 2018 PISA survey with Indonesian students as the smallest unit of observation were used as sample. …”
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All-Printed Thin-Film Transistor Based on Purified Single-Walled Carbon Nanotubes with Linear Response by Guiru Gu, Yunfeng Ling, Runyu Liu, Puminun Vasinajindakaw, Xuejun Lu, Carissa S. Jones, Wu-Sheng Shih, Vijaya Kayastha, Nick L. Downing, Xuliang Han, Harish Subbaraman, Dan Pham, Ray T. Chen, Maggie Yihong Chen, Urs Berger, Mike Renn

“…We report an all-printed thin-film transistor (TFT) on a polyimide substrate with linear transconductance response. The TFT is based on our purified single-walled carbon nanotube (SWCNT) solution that is primarily consists of semiconducting carbon nanotubes (CNTs) with low metal impurities. …”
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A Hybrid ARIMA-LSTM-XGBoost Model with Linear Regression Stacking for Transformer Oil Temperature Prediction by Xuemin Huang, Xiaoliang Zhuang, Fangyuan Tian, Zheng Niu, Yujie Chen, Qian Zhou, Chao Yuan

“…The predictions of these three models are combined through a linear-regression stacking approach, improving accuracy and simplifying the model structure. …”
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Integrated decision support system for optimizing time and cost trade offs in linear repetitive construction projects by Ahmed Gouda Mohamed, Ali Hassan Ali, Ahmed Adel Abdelhady

“…This study presents a structured, comparative analysis of GA and PSO within the LOB-based TCT framework, providing a replicable methodology for optimizing schedules in linear repetitive projects. …”
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Robust Resilient Adaptive Control of Aero-engine Based on Parametric Perturbation Model by MA Jing, CAO Du, MA Lili

Subjects: “…parameter perturbation structured model…”
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Development levels for time planning model ofroad constru ction at design stages by T. V. Bobrova, E. A. Pokalyukhina

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A Simple Algorithm for Finding a Non-negative Basic Solution of a System of Linear Algebraic Equations by Gleb D. Stepanov

“…This article describes an algorithm for obtaining a non-negative basic solution of a system of linear algebraic equations. This problem, which undoubtedly has an independent interest, in particular, is the most time-consuming part of the famous simplex method for solving linear programming problems.Unlike the artificial basis Orden’s method used in the classical simplex method, the proposed algorithm does not attract artificial variables and economically consumes computational resources.The algorithm consists of two stages, each of which is based on Gaussian exceptions. …”
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Generalized analysis of fractional Dullin-Gottwald-Holm equation: Soliton solutions and their applications in non-linear wave dynamics by Yousef Jawarneh, Ali H. Hakami, Abaker A. Hassaballa

“…To illustrate the solitons' complex structure and formation, we combine contour plots with 3D graphs. …”
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ASSESSING THE STATIC OF SOIL-STRUCTURE INTERACTION ON THE BEHAVIOR OF REINFORCED CONCRETE STRUCTURES: A MECHANO-FIABILISTIC APPROACH by KAMEL BEZIH, MOHAMED DJENANE, MOHAMED LAOUCHE

“…It clarifies the complex static non-linear effects that result from the interaction of the soil and the structure. …”
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Lumbar and pelvic CT image segmentation based on cross-scale feature fusion and linear self-attention mechanism by Chaofan Li, Liping Chen, Qiong Liu, Jinnan Teng

“…However, conventional CT imaging poses significant challenges due to the low contrast of sacral and bilateral hip tissues and the complex and highly similar intervertebral space structures within the lumbar spine. To address these challenges, we propose a general-purpose segmentation network that integrates a cross-scale feature fusion strategy with a linear self-attention mechanism. …”
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Linear model based on neighborhood ABS index for graph energy in benzenoid hydrocarbons and maximum index cactus graphs by Zheng-Qing Chu, Mohammed Yasin H, M. Suresh, Micheal Arockiaraj

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Sufficient Dilated LMI Conditions for 𝐻∞ Static Output Feedback Robust Stabilization of Linear Continuous-Time Systems by Kamel Dabboussi, Jalel Zrida

“…New sufficient dilated linear matrix inequality (LMI) conditions for the 𝐻∞ static output feedback control problem of linear continuous-time systems with no uncertainty are proposed. …”
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Constraints on timing and magnitude of early global expansion of the Moon from topographic features in linear gravity anomaly areas by Natsuki Sawada, Tomokatsu Morota, Shinsuke Kato, Yoshiaki Ishihara, Yoshihiro Hiramatsu

“…Abstract Gravity data obtained from the Gravity Recovery and Interior Laboratory have revealed linear gravity anomalies (LGAs) formed by the early global expansion of the Moon and subsequent magma intrusion. …”
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Load specific phase-field based structural optimization and experimental validation of sheet-based gyroid structures by Leonie Wallat, Michael Selzer, Marcus Seiler, Frank Poehler, Britta Nestler

“…The optimization is conducted within the linear-elastic range, aiming to maximize the stiffness of the structure while preserving its periodicity. …”
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Laboratory and numerical investigation of cutting tool performance using a new small-scale linear cutting machine by Hamid Chakeri, Amin Maleki, Hadi Shakeri, Mohammad Darbor, Hamid Mousapour

“…This study investigates the performance of cutting tools using a novel small-scale Linear Cutting Machine (LCM). To achieve this, a small-scale LCM was developed, and linear cutting tests were performed on nine rock specimens of varying geological origins. …”
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