Experimentally Constrained Mechanistic and Data-Driven Models for Simulating NMDA Receptor Dynamics by Duy-Tan J. Pham, Jean-Marie C. Bouteiller

“…However, their dynamics are challenging to capture accurately due to their high complexity and non-linear behavior. <b>Methods</b>: This article presents the elaboration and calibration of experimentally constrained computational models of GluN1/GluN2A NMDA-R dynamics: (1) a nine-state kinetic model optimized to replicate experimental data and (2) a computationally efficient look-up table model capable of replicating the dynamics of the nine-state kinetic model with a highly reduced footprint. …”
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Short communication: Multiscale topographic complexity analysis with pyTopoComplexity by L. S.-H. Lai, L. S.-H. Lai, A. M. Booth, A. R. Duvall, E. Herzig, E. Herzig

“…<p>pyTopoComplexity is a Python package designed for efficient and customizable quantification of topographic complexity using four advanced methods: two-dimensional continuous wavelet transform analysis, fractal dimension estimation, rugosity index, and terrain position index calculations. …”
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Design and Experimental Validation of Stem-Clamping-and-Pull-Out-Type Pepper Plug Seedling-Picking Mechanism by Zhenhua Lin, Xiao Li, Hao Sun, Maile Zhou, Jianjun Yin, Jijia He, Daqing Yin

“…The specific methods and objectives include the following: (1) designing a differential non-circular gear system to replicate a manual picking trajectory accurately; (2) establishing a kinematic model and developing optimization software to determine the optimal parameter combination; (3) experimentally validating the mechanism’s performance through virtual simulations and bench tests. …”
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Forecasting Wind Farm Production in the Short, Medium, and Long Terms Using Various Machine Learning Algorithms by Gökhan Ekinci, Harun Kemal Ozturk

“…Five machine learning algorithms were employed—Artificial Neural Network (ANN), Random Forest (RF), Extreme Gradient Boosting (XGBoost), K-Nearest Neighbors Regression (KNN), and Multi-Layer Perceptron (MLP ANN)—utilizing both MinMax and Standard Scaling methods. Prediction performance was evaluated using Mean Absolute Error (MAE), Coefficient of Determination (R²), and Root Mean Square Error (RMSE) metrics. …”
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Circle Detection with Adaptive Parameterization: A Bottom-Up Approach by Lin Han, Yan Zhuang, Ke Chen, Yuhua Xie, Guoliang Liao, Guangfu Yin, Jiangli Lin

“…Notably, the framework maintains robust detection capability (Fscore = 85%) under extreme noise conditions (50% Gaussian noise contamination), maintaining superior performance relative to comparative methods. The adaptive parameterization strategy provides insights for developing vision systems that bridge computational efficiency with human perceptual robustness.…”
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Transient stability improvement of a transmission system through the application of an artificial neural network-based high-voltage direct current system by Chibuike Peter Ohanu, Uche C Ogbuefi, Emenike Ejiogu

“…The Newton–Raphson power flow method is employed to determine the base-case characteristics of the network. …”
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Analysis of Algorithms for Detecting Users’ Behavioral Models based on Sessions Data by Vitaly Zabiniako, Toms Rožkalns, Erika Nazaruka, Jurijs Kornienko

“…An unknown number and quality of potential behavioral models, non-efficient utilization of memory and processing units, and a large amount of data are the main difficulties developers could meet. …”
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Real-Time Release Testing of Herbal Extract Powder by Near-Infrared Spectroscopy considering the Uncertainty around Specification Limits by Guolin Shi, Bing Xu, Xin Wang, Zhong Xue, Xinyuan Shi, Yanjiang Qiao

“…Process analytical technology (PAT) is an attractive and efficient way for realizing RTRT. In this paper, near-infrared (NIR) determination of cryptotanshinone and tanshinoneIIA content in tanshinone extract powders was taken as the research object. …”
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Optimization procedure for conformance control by Konstantin M. Fedorov, Rodion M. Ganopolsky, Alexander Ya. Gilmanov, Alexander P. Shevelev

“…One of the most common methods to do this is to improve conformance by injecting suspension into the reservoir. …”
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System characteristics of the publishing process by Ю. О. Морщавка

“…The methodological basis of the paper is the complex of methods, including methods of scientific cognition, analysis and synthesis, systematization and scientific abstraction. …”
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The Impact of ESG Factors on Asset Returns: Empirical Research by O. V. Efimova, M. A. Volkov, D. A. Koroleva

“…The subject of the research is the assessment of Investment decision-making efficiency considering the sustainable development requirements. …”
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Utilization of Machine-Learning-Based model Hybridized with Meta-Heuristic Frameworks for estimation of Unconfined Compressive Strength by She Wang, Qi Zhang

“…After a great deal of effort and growing investment in time, the proper adoption of machine learning methods, especially the radial basis function (RBF), opens a route to promising alternatives against empirical methods for better real-time prediction of UCS. …”
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Legal Status of Doctoral Students and Scientific Consultants: Problems and Possible Solutions by S. M. Rukavishnikov

“…The set of measures proposed by the author is aimed at increasing the efficiency of the doctoral education institute, which is an important element of the state scientific certification system, the potential of which is currently not revealed and requires development.…”
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Reduction of Active Power Loss at 110/220 kV Node Substations Using Fuzzy Controller by Krysanov V.N., Burkovsky V.L., Danilov A.D.

“…Currently, the evaluation of real static characteristics of the load is determined generally by the following methods: computational, ana-lytical, passive and active experiments. …”
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Business Ecosystem Finance: Modern Agenda and Challenges by I. M. Stepnov, J. A. Kovalchuk

“…It is concluded that the development of financing instruments depends on three factors: 1) government policies to regulate the financial aspects of business ecosystems; 2) the efficiency of using the resources of ecosystem participants; 3) ecosystem interactions with supply chains. …”
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USAGE OF HIGH-QUALITY ENGINE OILS WITH EXTENDED REPLACEMENT INTERVALS: FEATURES OF THE EQUIPMENT OPERATION by N. Y. Machekhin, I. I. Shirlin, S. V. Pashukevich

“…The aim of the paper is to show the features of the equipment operation with significant intervals of the engine oils’ replacement in order to increase the efficiency of its usage. The paper presents data on the features of the equipment operation when using high-quality motor oils with extended replacement intervals.Materials and methods. …”
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Process organisation modelling for maintaining rail track geometry by A. A. Sevostyanov, D. V. Velichko

“…The study examines the problem of increasing the efficiency of maintaining rail track geometry.Materials and methods. …”
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Biochemical Oxygen Demand Prediction Based on Three-Dimensional Fluorescence Spectroscopy and Machine Learning by Xu Zhang, Yihao Zhang, Xuanyi Yang, Zhiyun Wang, Xianhua Liu

“…Biochemical oxygen demand (BOD) is an important indicator of the degree of organic pollution in water bodies. Traditional methods for BOD₅ determination, although widely used, are complicated and dependent on accurate chemical measurements of dissolved oxygen. …”
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ANALISIS NILAI TAMBAH DAN KEMAMPULABAAN TIGA AGROINDUSTRI VCO D1 KOTA BENGKULU by Musryadi Nabiu, Ellys Yuliarti, Esteria Manurung

“…Respondent  determination method  is by purposive,  sum samples  in this  research  are three  VCO agro industry.  …”
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Localization of Sensor Nodes in 3D Wireless Sensor Networks with a Single Anchor by an Improved Adaptive Artificial Bee Colony (iaABC) Algorithm by Dursun Ekmekci, Hüseyin Altınkaya

“…The method employs the Improved Adaptive Artificial Bee Colony (iaABC) algorithm, a model of the classical ABC algorithm. …”
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