Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…The swarm intelligent optimization methods transform a complex problem of structural parameter identification into a constrained optimization problem. …”
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The Role of CoLab and GAITS in Enabling the RADx Tech Program by John M. Collins, Marshall R. Collins, Tamara McKenzie, Mark Marino

“…These teams collaborated in complex workflows that needed to be carefully monitored and tracked. …”
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Legal support for the use of natural therapeutic resources in sanatorium and resort treatment of the population by V. V. Kostytsky, V. D. Sydor, I. O. Kostytska

“…It has been established that natural therapeutic resources include mineral and thermal water, medical mud and ozokerite, sea and lake brine, sea water, natural objects and complexes with favorable climatic conditions. It has been substantiated that sanatorium and spa treatment is an important part that provides continuity and complexity of medical rehabilitation measures. …”
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Single-index logistic model for high-dimensional group testing data by Changfu Yang, Wenxin Zhou, Wenjun Xiong, Junjian Zhang, Juan Ding

“…Group testing is an efficient screening method that reduces the number of tests by pooling multiple samples, making it especially effective in low-prevalence settings. …”
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Saccharification of Lignocelluloses by Carbohydrate Active Enzymes of the White Rot Fungus Dichomitus squalens. by Johanna Rytioja, Kristiina Hildén, Susanna Mäkinen, Jari Vehmaanperä, Annele Hatakka, Miia R Mäkelä

“…White rot fungus Dichomitus squalens is an efficient lignocellulose degrading basidiomycete and a promising source for new plant cell wall polysaccharides depolymerizing enzymes. …”
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Global Sensitivity Analysis of High Speed Shaft Subsystem of a Wind Turbine Drive Train by Saeed Asadi, Viktor Berbyuk, Håkan Johansson

“…The conclusion from the current research provides informative beneficial data in terms of design and optimization of a drive train setup and also can provide better understanding of wind turbine drive train system dynamics with respect to different structural parameters, ultimately designing more efficient drive trains. Finally, the proposed global sensitivity analysis (GSA) methodology demonstrates the detectability of faults in different components.…”
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mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms by Barnabé, Christian, Sempéré, Guilhem, Manzanilla, Vincent, Millan, Joel Moo, Amblard-Rambert, Antoine, Waleckx, Etienne

“…It provides functions for various tasks such as dereplication, clustering, chimera detection, and taxonomic assignment. VSEARCH is thus very efficient in retrieving the overall diversity of a sample. …”
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SGF-SLAM: Semantic Gaussian Filtering SLAM for Urban Road Environments by Zhongliang Deng, Runmin Wang

“…This framework effectively suppresses dynamic objects by integrating feature point detection and semantic segmentation networks, filtering out Gaussian point clouds that degrade mapping quality, thus enhancing system performance in complex outdoor scenarios. …”
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Advances and applications of empirical mode decomposition and its variants in hydrology: A review by CHEN Yunfei, LIU Zuyu, LIU Xiuhua, HE Junqi, ZHENG Ce, MA Yandong

“…Hydrological series are influenced by climate change, ecological succession, and human activities, containing complex, multi-layered, and interactive information that reflects highly non-linear and non-stationary characteristics. …”
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Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies. by Mario Pannunzi, Thomas Nowotny

“…We find that NSIs improve mixture ratio detection and plume structure sensing and do so more efficiently than the traditionally considered mechanism of lateral inhibition in the antennal lobe. …”
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Underdetermined AOA Estimation Using Non-Uniform Sub-Connected Hybrid Beamforming Systems by Yu-Chen Liu, Hsuan-Jung Su, Yasuhiro Takano

“…To further enhance estimation efficiency, we modified the co-array least mean squares (co-array LMS) method by directly solving the least-squares problem to determine the filter weights. …”
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Automated Extraction of Pipe Geometry Using SAM for Mixed Reality Inspection Tasks by S. Einizinab, S. Einizinab, K. Khoshelham, K. Khoshelham, S. Winter, P. Christopher, P. Christopher

“…Accurate detection and measurement of building elements are essential for efficient automated inspection and quality assessment in construction. …”
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A Validation Tool (VaPCE) for Postcoordinated SNOMED CT Expressions: Development and Usability Study by Tessa Ohlsen, Viola Hofer, Josef Ingenerf

“… Abstract BackgroundThe digitalization of health care has increased the demand for efficient data exchange, emphasizing semantic interoperability. …”
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Emerging techniques for the trace elemental analysis of plants and food-based extracts: A comprehensive review by Hemant Rawat, Shahnawaz Ahmad Bhat, Daljeet Singh Dhanjal, Rajesh Singh, Yashika Gandhi, Sujeet K. Mishra, Vijay Kumar, Santosh K. Shakya, Ch Venkata Narasimhaji, Arjun Singh, Ravindra Singh, Rabinarayan Acharya

“…Integrating data analytics and machine learning in elucidating complex elementary datasets is explored, underscoring the potential for heightened accuracy and automation in trace elemental analysis. …”
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Integrating artificial intelligence with miniature mass spectrometry by Jiayi Wang, Lingyan Liu, Ting Jiang

“…These AI methods have not only improved the accuracy and efficiency of analysis but have also expanded the applications of miniature mass spectrometry to critical areas such as food safety, agricultural disease detection, and environmental monitoring. …”
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A survey of data-driven fault-diagnosis methods for large-scale industrial production processes by Qianxiang YU, Qing LI, Linlin LI, Yixuan WANG

“…Data-driven approaches avoid the dependence on precise modeling; thus, the research focus on fault diagnosis for industrial production processes has gradually shifted from mechanism-based to data-driven methods that integrate historical data, real-time data, and multisource information to enhance the accuracy and efficiency of the fault detection and identification approaches. …”
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Method for Determination of 55Fe in Radioactive Used Oil from Nuclear Power Plant by MA Lina1, 2, FAN Fuyou3, QIU Xiangping3, WANG Lusheng1, 2, DAI Xiongxin1, 2

“…By testing three commercially available scintillation cocktails, the acidic sample media containing 55Fe mixed with Ultima GoldTM LLT has the lowest detection limit and highest counting efficiency for LSC measurements of 55Fe. …”

3D-modeling Capabilities in Assessing Resectability of Pancreatic Head Tumors by A. S. Kudashkina, I. G. Kamyshanskaya, K. V. Pavelets, D. S. Rusanov, S. А. Kalyuzhnyy

“…Despite the successes of modern diagnostics and surgical treatment, the problem of early detection, staging of oncologic process and, as a consequence, combined treatment of pancreatic head cancer remains actual.Objective: increasing the accuracy of diagnostics and estimation of resectability of the pancreatic head cancer on the basis of the complex use of the radiation methods of investigation with pancreaticoduodenal zone 3D-reconstructions.Material and methods. …”
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An AI-Driven Particle Filter Technology for Battery System State Estimation and RUL Prediction by Mohamed Ahwiadi, Wilson Wang

“…The main contributions of the AI-PF technique are as follows: (1) A novel dynamic sample degeneracy detection method is proposed to provide real-time assessment of particle weights so as to promptly identify degeneracy and improve computational efficiency. (2) An adaptive crossover and mutation strategy is proposed to reallocate low-weight particles and maintain particle diversity to improve modeling and RUL forecasting accuracy. …”
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The Role of Artificial Intelligence in Medical Imaging: From Diagnosis to Ethical Frontiers by Nouf Abuhadi

“…Artificial intelligence in radiology provides significant potential for enhancing diagnostic precision, efficiency, and workflow. However, its incorporation into clinical practice faces several challenges.…”
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