Hyperspectral Image Change Detection Method Based on the Balanced Metric by Xintao Liang, Xinling Li, Qingyan Wang, Jiadong Qian, Yujing Wang

“…Change detection, as a popular research direction for dynamic monitoring of land cover change, usually uses hyperspectral remote-sensing images as data sources. Hyperspectral images have rich spatial–spectral information, but traditional change detection methods have limited ability to express the features of hyperspectral images, and it is difficult to identify the complex detailed features, semantic features, and spatial–temporal correlation features in two-phase hyperspectral images. …”
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Isolation methods of exosomes derived from dental stem cells by Paras Ahmad, Nathan Estrin, Nima Farshidfar, Yufeng Zhang, Richard J. Miron

“…This review synthesizes nearly 200 studies on dental stem cell-derived exosomes, highlighting their potential in treating a wide range of conditions, including periodontal diseases, cancer, neurodegenerative disorders, diabetes, and more. Optimized isolation methods offer a path forward for overcoming current limitations and advancing the clinical use of exosome-based therapies.…”
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Restoration of Hardware Function of Spectral Colorimeters Using Regularization Methods by M. A. Radjabova, B. I. Eshmatova, N. K. Babanazarova

“…Since the actual hardware function of the device usually differs from the Gaussian curve, the use of hardware functions in the form of analytical dependencies does not always give the desired result, and for experimental methods, special equipment with a quasi-monochromatic radiation source is required. …”
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An Aerodynamic Method for the Analysis of Isolated Horizontal-Axis Wind Turbines by Christian Masson, Idriss Ammara, Ion Paraschivoiu

“…The turbine is represented by a distribution of momentum sources. The resulting governing equations are solved using a Control-Volume Finite Element Method (CVFEM). …”
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Determination method for trace polycyclic aromatic hydrocarbons in paddy soils by HE Mingjiang, SHEN Haoran, ZHA Ting, YU Xiongsheng, LIU Xingmei

“…PAHs are mainly derived from incomplete combustion processes and pyrolysis of organic materials. The occurrence, source, transport and fate of PAHs in various environments have been reported extensively, while the determination method of PAHs varied in the past reports. …”
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Contemporary Biological Methods of Mine Reclamation in the Kemerovo Region – Kuzbass by Natalya V. Fotina, Vladislav P. Emelianenko, Ekaterina E. Vorob’eva, Nadezhda V. Burova, Elena V. Ostapova

“…Coal mining is the main source of anthropogenic impact on the landscapes of the Kemerovo Region – Kuzbass. …”
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Study on Heat Transfer Characteristics of CSNS Decoupled Posioned Hydrogen Moderator by ZHU Ling-bo, LU Yi-ping, TONG Jian-fei, LU You-lian, LIANG Tian-jiao

“…The flow field distribution and thermal properties of supercritical hydrogen are crucial factors affecting the quality of neutrons output from Chinese. Spallation Neutron Source (CSNS), which may contribute to the optimization design of Decoupled Poisoned Hydrogen Moderator (DPHM). …”
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Optimization planning of new rural multi-energy distribution network based on fuzzy algorithm by Huanhuan Ye, Qing Wang, Yongsheng Xian, Bo Wen, Yuange Li, Siwei Hou

“…Existing methods are difficult to cope with the volatility and uncertainty of energy sources, resulting in uneven load distribution, high energy loss and low system efficiency. …”
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ADAPTATION OF “DRIED BLOOD DROP” METHOD FOR THERAPEUTIC DRUG MONITORING by V. I. Petrov, I. S. Anikeev, T. E. Zayachnikova, A. V. Strygin, A. M. Dotsenko

“…However, to date, the implementation of TDM is associated with various difficulties, for the solution of which more convenient and less invasive methods for collecting biological material are being developed.The aim of the study was to develop protocols for the collection and storage of “dried blood spot” (DBS) samples, as well as protocols for the validation methods for the quantitative determination of drugs in whole blood, using this technology for subsequent therapeutic drug monitoring.Materials and methods. …”
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Multi-Time Scale Coordinated Optimization of Energy Systems Under Flexible Load Response by Jinfeng Gao, Daifeng Gao, Chun Xiao

“…To address these challenges, this study investigates multi-time scale collaborative optimization of energy systems based on flexible load response, utilizing a combination of qualitative and quantitative methods. …”
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Search direction optimization of power flow analysis based on physics-informed deep learning by Baoliang Li, Qiuwei Wu, Yongji Cao, Changgang Li

“…Power flow analysis is crucial for obtaining power system operation states and optimizing control measures. The increasing integration of renewable energy sources has resulted in a more complex power system, posing challenges to the computational efficiency and convergence of conventional power analysis methods. …”
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Auto regressive neural network-driven reliability optimization in base-isolated building design by John Thedy, Kuo-Wei Liao, Taeyong Kim

“…Trained on various ground motions and Nonlinear Time History Analysis (NLTHA) data, the ARNN produces full response histories, unlike prior methods focused solely on peak responses. A Single Degree of Freedom (SDOF) example demonstrates ARNN accuracy, and a four-story base-isolated building is used for a Reliability-Based Design Optimization (RBDO) case study. …”
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A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization by Yingjia Sun, Hongfeng Ren

“…Different from forward selection or linear optimization, which could have low efficiency for complicated problems with large sample size and multiple objectives, new methods and algorithms for NP-hard problems would be necessary to be investigated. …”
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The Application of Graph Neural Networks in Power Systems from Perspective of Perception-Prediction-Optimization by Zhuo LI, Yinzhe WANG, Lin YE, Yadi LUO, Xuri SONG, Zhenyu ZHANG

“…Conventional data analysis methods for Euclidean space often exhibit poor performance and low accuracy when representing the topological structures relationship with multi-source heterogeneous and irregular characteristics. …”
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Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…The integration of renewable energy systems into modern buildings is essential for enhancing energy efficiency, reducing carbon footprints, and advancing intelligent energy management. However, optimizing RES operations within building energy management systems introduces significant complexity, requiring advanced control strategies. …”
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Power quality assurance in the electrical network of the Syrian Arab Republic, using the active power filter by R. R. Nasyrov, R. Aljendy, T. Kherbek

“…The definition of the optimal capacitance of the AF dc link using the particle swarm method is given in order to minimize the total non- sinusoidal current and voltage in the studied electrical network.…”
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Chance-constrained optimal schedule of battery energy storage considering the uncertainties of renewable generation by Zhi Li, Dawei Xie, Haifeng Ye, Yujun Li, Jinzhong Li, Yichi Chen, Yue Yang

“…Since renewable energy generation has strong uncertainties and pure conventional unit dispatch schemes are limited by the unit-operating capacities, such scheduling is inapplicable for power systems with high proportions of renewable energy sources (RESs). We propose an optimal scheduling model for battery energy storage systems (BESSs) by considering the uncertainties of RESs. …”
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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

“…Experimental results also demonstrate that the proposed NiOA-DPRNNs framework gets the highest value of R2 (0.9736), lowest error rates and fitness values than other existing models and optimization methods. From the Wilcoxon and ANOVA analyses, one can approve the specificity and consistency of the findings. …”
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Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms by Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Nauman Ali Larik

“…Hyperparameter optimization using Bayesian methods enhances predictive performance. …”
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Revitalizing Astronomical Azimuth Determination: Integrating Modern Computing with Traditional Techniques by Luigi Barazzetti

“…This work aims to simplify these calculations by providing open-source Python scripts that automate the process. These scripts also simulate the achievable precision, allowing users to plan optimal observations in advance. …”
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