Linear Codes over $\mathbb{Z}_{p}\mathcal{R}_{1} \mathcal{R}_{2}$ and their Applications by K. Chatouh

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A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects by Yanxi Xie, Yuewen Li, Zhijie Xia, Ruixia Yan, Dongqing Luan

“…Recently, hierarchical likelihood (h-likelihood) plays an important role in inferences for models having unobservable or unobserved random variables. This paper focuses linear models with random effects in the mean structure and proposes a penalized h-likelihood algorithm which incorporates variable selection procedures in the setting of mean modeling via h-likelihood. …”
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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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Design Optimization of Secondary Element of Single-Sided Linear Induction Motors Using a Genetic Algorithm by V. A. Prakht, V. V. Goman, A. S. Paramonov

“…The results of solving an optimization problem for two designs are presented, viz. a laboratory linear induction electric motor based on a three-phase SL-5-100 inductor and a traction single-sided linear induction electric motor of an urban transport system. …”
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Enhancing linear switched reluctance motor performance through stator winding overhang leakage flux integration by Nisha Prasad, Mahipal Bukya

“…Thus, the search for an efficient and cost-effective linear motor is inevitable. Linear Switched Reluctance Motors (LSRMs) are gaining the attention of many researchers due to their inherent advantages over other popular linear motors. …”
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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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Investigating the Impact of Accessibility on Internal Migration Flows in Italy Through the Calibration of Multiple Linear Regression Models by Antonio Basile, Mariano Gallo

“…The results show a non-negligible impact of certain accessibility variables on the migration phenomenon and suggest the need to work on the infrastructure front to rebalance the country’s demographic and socio-economic structure.…”
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Verifying the Performance of Multiple Linear Regression in Predicting the Indicator of Mass Accumulation of Waste. The Case of Lubelskie Voivodship by Tomasz Szul, Krzysztof Nęcka

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Localization Accuracy Improvement of a Visible Light Positioning System Based on the Linear Illumination of LED Sources by Nan Wu, Lihui Feng, Aiying Yang

“…Received signal strength (RSS) based visible light positioning method is easy to implement because it requires simple hardware structure. However, in practical scenarios, the actual channel gain does not follow the ideal channel model. …”
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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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PENGEMBANGAN LEMBAR KERJA MAHASISWA MODEL ADVANCED ORGANIZER PADA MATA KULIAH ALJABAR LINEAR ELEMENTER by Yosepha Patricia Wua Laja, Zulkaidah Nur Ahzan

“…The problem is that there is disequilibrium between old knowledge and new knowledge which makes mathematics education students difficult to study material on systems of linear equations in elementary linear algebra courses. …”
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GAN-Based Super-Resolution in Linear R-SAM Imaging for Enhanced Non-Destructive Semiconductor Measurement by Thi Thu Ha Vu, Tan Hung Vo, Trong Nhan Nguyen, Jaeyeop Choi, Le Hai Tran, Vu Hoang Minh Doan, Van Bang Nguyen, Wonjo Lee, Sudip Mondal, Junghwan Oh

“…The precise identification and non-destructive measurement of structural features and defects in semiconductor wafers are essential for ensuring process integrity and sustaining high yield in advanced manufacturing environments. …”
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Interpretable fuzzy model reference adaptive controller for linear MIMO systems: MATLAB implementation and simulation toolkit by Krzysztof Wiktorowicz, Jacek Kluska

“…This stability-driven design directly enforces a constrained, sector-bounded structure, resulting in a controller that is interpretable-by-design with a simple, transparent rule base for each input–output channel. …”
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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

“…This underlies the need for a more in-depth study of the factors that influence PISA data scores not only statistically qualitatively but also quantitatively which is still very rarely done. The data structure of the PISA survey results is complex, which involves multicollinearity, multivariate response variables, and random effects. …”
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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

“…Such bias-independent transconductance property is different from that of conventional metal-oxide-semiconductor field-effect transistors (MOSFETs) due to the special band structure and the one-dimensional (1D) quantum confined density of state (DOS) of CNTs. …”
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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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A system for assessing the functional state of blood flow in the skin surface layers by the speckle structure of multiply scattered optical radiation by N. D. Abramovich, S. K. Dick

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Resonant Wavelength Shift Detection System Based on a Gradient Grating Period Guided-Mode Resonance by Chih-Wei Chang, Shi-Ting Chen, Yi-Ming Lin, Cheng-Sheng Huang

“…A resonant wavelength detection system based on a gradient grating period guided-mode resonance (GGP-GMR) filter and a linear charge-coupled device is demonstrated. The GGP-GMR used in this work consists of a subwavelength grating structure with a grating period that varies from 250 to 550 nm in increments of 2 nm. …”
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Analytical finite-integral-transform and gradient-enhanced machine learning approach for thermoelastic analysis of FGM spherical structures with arbitrary properties by Palash Das, Dipayan Mondal, Md. Ashraful Islam, Md. Abdullah Al Mohotadi, Prokash Chandra Roy

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