Frequency Stability Analysis Based on Full State Model in Autonomous-Synchronization Voltage Source Interfaced Power System by Zhenyao LI, Deqiang GAN, Moude LUAN, Guoqing HE

“…First, the frequency stability problem is transformed into a quadratic eigenvalue problem (QEP), which proves that the reduction of the system inertia will reduce the disturbance-rejection capability of the system frequency in the inertial response stage. Then, the parameters of the autonomous-synchronization voltage source model are compared with those of the synchronous machine model, and it is proved that the function of the governor is equivalent to increasing the system damping, which can reduce the steady-state error of the system frequency after being disturbed. …”
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Multiparametric MRI for assessment of early response to neoadjuvant sunitinib in renal cell carcinoma. by Stephan Ursprung, Andrew N Priest, Fulvio Zaccagna, Wendi Qian, Andrea Machin, Grant D Stewart, Anne Y Warren, Timothy Eisen, Sarah J Welsh, Ferdia A Gallagher, Tristan Barrett

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Mathematical modeling of mechatronic shuttles as automation objects for multilevel systems of intra-warehouse logistics by Ігор Невлюдов, Максим Вжеснєвський, Юрій Ромашов, Олена Чала

“…To illustrate the proposed approach, we consider the modeling of a typical mechatronic electric drive of machines used in automated storages and present the results of modeling processes in the electric drive. …”
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Classification of Petrographic Thin Section Images With Depthwise Separable Convolution and Dilated Convolution by Shaowei Pan, Xingxing Cheng, Wenjing Fan

“…Additionally, it significantly reduces the parameter count and computational load with only 15.9 million parameters and 1259 billion FLOPs, ensuring efficiency without sacrificing accuracy. …”
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Mathematical modeling of mechatronic shuttles as automation objects for multilevel systems of intra-warehouse logistics by Igor Nevliudov, Maksym Vzhesnievskyi, Yurii Romashov, Olena Chala

“…To illustrate the proposed approach, we consider the modeling of a typical mechatronic electric drive of machines used in automated storages and present the results of modeling processes in the electric drive. …”
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Cleaning of Indoor Air from Highly Dispersed Particles and Aerosols. by L. P. Pilinevich, M. V. Tumilovich, D. M. Rumiantsav, K. V. Hryb, A. G. Bunas

“…As a result of the theoretical and experimental studies, the parameters of the cleaning process and the design parameters of the electrostatic filter were determined, ensuring high process performance and the degree of purification.…”
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Stepped Confocal Microlens Array Fabricated by Femtosecond Laser by Jinchi Wu, Hao Wu, Zheli Lin, Honghao Zhang

“…Preliminary experimental analyses were carried out to determine the relationship between processing parameters and the resulting focal lengths. By precisely controlling these parameters, the fabricated stepped confocal microlens array successfully enabled confocal imaging, allowing for the simultaneous acquisition of diverse image data. …”
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Backscattering of Ultrasonic Waves as the Basis of the Method of Control of Structure and Physicо-Mechanical Properties of Cast Irons by A. R. Baev, N. V. Levkovich, E. P. Babuk, M. V. Asadchaya

“…As a result of the studies, a significant difference between the amplitude parameters of the AN structural noise obtained for samples with different shapes of graphite inclusions at 5 MHz was revealed for the first time. …”
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Artificial neural networks in predicting impaired bone metabolism in diabetes mellitus by S. S. Safarova

“…Machine learning was repeated until the error was minimized for all variables. …”
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The role of force and torque in friction stir welding: A detailed review by Mostafa Akbari, Milad Esfandiar, Amin Abdollahzadeh

“…This review explores methodologies for estimating these parameters—analytical, numerical, and experimental—and discusses measurement techniques, including direct and indirect methods. …”
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Using Artificial Neural Networks to Determine Wear of Composite Friction Material by A. V. Liashok, Yu. B. Popova

“…One of the most significant parameters characterizing  a sintered friction material is wear resistance. …”
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Bayesian Computation Methods for Inference in Stochastic Kinetic Models by Eugenia Koblents, Inés P. Mariño, Joaquín Míguez

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KRAS, NRAS, and BRAF mutation prevalence, clinicopathological association, and their application in a predictive model in Mexican patients with metastatic colorectal cancer: A retr... by Hector Eduardo Sanchez-Ibarra, Xianli Jiang, Elena Yareli Gallegos-Gonzalez, Adriana Carolina Cavazos-González, Yenho Chen, Faruck Morcos, Hugo Alberto Barrera-Saldaña

“…Further t-SNE analyses were made to 191 specimens to reveal patterns among patients with clinical parameters and KRAS mutational status. Then, directed by the results from classical statistical tests and t-SNE analysis, neural network models utilized entity embeddings to learn patterns and build predictive models using a minimal number of trainable parameters. …”
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Metasurface-enabled multifunctional single-frequency sensors without external power by Masaya Tashiro, Kosuke Ide, Kosei Asano, Satoshi Ishii, Yuta Sugiura, Akira Uchiyama, Hiroki Wakatsuchi

“…Moreover, we provide a method for predicting physical parameters via the machine learning-based approach of random forest regression. …”
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Microcirculation disorders and structural and functional left ventricular abnormalities in patients with type 1 diabetes complicated by ketoacidosis by N. V. Mukhа, A. V. Govorin, D. N. Zajtsev, A. P. Filev

“…Significant unidirectional changes in these parameters were revealed in comparison with the T1D patients without DKA.Conclusion. …”
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Eye-Tracking Algorithm for Early Glaucoma Detection: Analysis of Saccadic Eye Movements in Primary Open-Angle Glaucoma by Cansu Yuksel Elgin

“…Notably, preperimetric POAG patients showed significant abnormalities despite having normal visual fields based on standard perimetry. Our machine learning algorithm incorporating multiple saccadic parameters achieved an excellent discriminative ability between glaucomatous and healthy subjects (AUC = 0.92), with particularly strong performance for moderate POAG (AUC = 0.97) and good performance for preperimetric POAG (AUC = 0.87). …”
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Progress on the application of supercomputer brain simulation technology by SUN Zhe

“…Special emphasis is placed on how supercomputer brain simulation assists in virtual drug screening, optimizing deep brain stimulation parameters, and supporting digital twin approaches for personalized medicine. …”
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LightGBM-Based Human Action Recognition Using Sensors by Yinuo Liu, Ziwei Chen

“…Moreover, after searching for the model parameters using grid search, the prediction accuracy of LightGBM can be increased to 95.35%. …”
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An analytical examination of the performance assessment of CNN-LSTM architectures for state-of-health evaluation of lithium-ion batteries by Arun Jose, Sonam Shrivastava

“…Further validation was achieved by determining the battery parameters through a cost-effective hardware prototype. …”
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Diagnosis of Alzheimer Disease Using 2D MRI Slices by Convolutional Neural Network by Fanar E. K. Al-Khuzaie, Oguz Bayat, Adil D. Duru

“…In the literature, several image processing techniques, as well as machine learning strategies, were introduced for the diagnosis of the disease. …”
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