Analysis of dynamic process models for aviation battery systems by S. I. Gavrilenkov

“…Based on MMPEP, a new voltage dynamics model has been developed specifically for lithium-ion aircraft batteries (LIABs), which take into account polarization processes, temperature changes and nonlinear effects. The model proposed in the paper is derived through numerical-analytical transformation of dynamic processes equations obtained by the method of mathematical prototyping of energy processes. …”
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PENGEMBANGAN PERANGKAT PEMBELAJARAN GENERATIF UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR MATEMATIS TINGKAT TINGGI SISWA SMP by La Moma, Hanisa Tamalene, Samad Rumalean

“…Learning with this model has succeeded in increasing student mathematics learning outcomes. The specific objective of this research is to develop generative learning tools to improve the high-level mathematical thinking skills of junior high school students. …”
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Investigation and Study of High Voltage Capacitor Bank Techniques for Voltage Drop Improvement in 22-kV Distribution Line by Surakit Thongsuk, Praikanok Lertwanitrot, Panapong Songsukthawan, Santipont Ananwattanaporn, Atthapol Ngaopitakkul, Suntiti Yoomak, Chaichan Pothisarn

“…The study is conducted using PSCAD software to simulate and evaluate the effectiveness of various capacitor bank allocation techniques in enhancing voltage drop in the distribution line. …”
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Reveal the mechanism of brain function with fluorescence microscopy at single-cell resolution: from neural decoding to encoding by Kangchen Li, Huanwei Liang, Jialing Qiu, Xulan Zhang, Bobo Cai, Depeng Wang, Diming Zhang, Bingzhi Lin, Haijun Han, Geng Yang, Zhijing Zhu

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Approach to optimizing charging infrastructure of autonomous trolleybuses for urban routes by М. Ya. Kovalyov, B. M. Rozin, I. A. Shaternik

“…The model is formulated as a mathematical programming problem with a quadratic objective function and linear constraints.Co n c l u s i o n. …”
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Model of adaptive information system for forecasting crop productivity by С. І. Мельник, О. І. Присяжнюк, Є. М. Стариченко, К. М. Мажуга, В. В. Бровкін, О. М. Мартинов, В. В. Маслечкін

“…A detailed analysis of conceptual approaches to the construction of mathematical agricultural models is carried out and the main advantages and disadvantages of modern analogues are established. …”
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Pengembangan Model Pembelajaran Matematika Berbasis Pepro Kreasi Di Madrasah Tsanawiyah by Mutmainah Mutmainah

“…In edition to using lesson matter book, as well as using assessment instrument.Development of instructional models followed the Dick & Carey model.this study result the design of instructional, learning resources book that we call Mardhi (mathematics magazine), and the user guide for teacher and student that .Formative test that involved expert testing, one-to-one, small group, and field test, were carried out and resulted in conceptual, procedural, and physical models for the development of viable and effective instructional mathematics models to be used in Al- Ishlahuddiny junior boarding high school. …”
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Enhancing Solid Oxide Fuel Cell Efficiency Through Advanced Model Identification Using Differential Evolutionary Mutation Fennec Fox Algorithm by Manish Kumar Singla, Jyoti Gupta, Ramesh Kumar, Pradeep Jangir, Mohamed Louzazni, Nimay Chandra Giri, Ahmed Jamal Abdullah Al-Gburi, E. I.-Sayed M. EI-Kenawy, Amal H. Alharbi

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Drying characteristics of thin layer hot air drying for preparation of ready-to-reconstitute protein enriched spongy snack (khaman) by Ulpa Patel, Navneet Kumar, Sawinder Kaur

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CAPAIAN LEVEL BERPIKIR REFLEKTIF MAHASISWA PROGRAM REMIDIAL PERKULIAHAN FISIKA MATEMATIKA 1 BERBASIS COGNITIVE APPRENTICESHIP INSTRUCTION by Ellianawati -, D Rusdiana, J Sabandar, A Rusli

“…Therefore, the more effective strategies applied in every syntax of CAI are required in order to improve the students’ level of reflective thinking.…”
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Integrating biomarkers for hemostatic disorders into computational models of blood clot formation: A systematic review by Mohamad Al Bannoud, Tiago Dias Martins, Silmara Aparecida de Lima Montalvão, Joyce Maria Annichino-Bizzacchi, Rubens Maciel Filho, Maria Regina Wolf Maciel

“…Eligibility criteria included mathematical models of thrombin generation, blood clotting, or fibrin formation under flow, incorporating at least one of these biomarkers. …”
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Foundations and Innovations in Data Fusion and Ensemble Learning for Effective Consensus by Ke-Lin Du, Rengong Zhang, Bingchun Jiang, Jie Zeng, Jiabin Lu

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Spatial Cluster Detection Under Dependent Random Environmental Effects by Walguen Oscar, Jean Vaillant

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Asymptotic Stability of a Rumor Spreading Model with Three Time Delays and Two Saturation Functions by Teng Sheng, Chunlong Fu, Xiaofan Yang, Yang Qin, Luxing Yang

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Volatility Spillover Effects Between Carbon Futures and Stock Markets: A DGC-t-MSV-BN Model by Jining Wang, Tian Man, Lei Wang

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The Impact of Digital Economy Development on Regional Income Gaps: A Perspective on Multidimensional Inequality Decomposition and Threshold Effects by Jing Ruan, Lu Zou, Ruiqi Liu, Hongyun Pan

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On the Nonlinear Forced Vibration of the Magnetostrictive Laminated Beam in a Complex Environment by Nicolae Herisanu, Bogdan Marinca, Vasile Marinca

“…The present study dealt with a comprehensive mathematical model to explore the nonlinear forced vibration of a magnetostrictive laminated beam. …”
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Failure Mode and Effects Analysis Integrated with Multi-Attribute Decision-Making Methods Under Uncertainty: A Systematic Literature Review by Aleksandar Aleksić, Danijela Tadić, Nikola Komatina, Snežana Nestić

“…Failure Mode and Effects Analysis (FMEA) is a proactive management technique widely used to improve the reliability of products and processes across various business sectors. …”
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Soret Effect on the Instability of Double-Diffusive Convection in a Saturated Vertical Brinkman Porous Layer of Oldroyd-B Fluid by Yuanzhen Ren, Yongjun Jian

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Enhancing Border Learning for Better Image Denoising by Xin Ge, Yu Zhu, Liping Qi, Yaoqi Hu, Jinqiu Sun, Yanning Zhang

“…However, zero padding introduces ring-like artifacts at the borders of output images, referred to as border effects, which negatively impact the network’s ability to learn effective features. …”
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