Determination of Pyrethroids in Paris polyphylla Sample by High-Performance Liquid Chromatography Using Ultrasound-Assisted Magnetic Solid-Phase Extraction by Wei Zhang, Xin Zhao, Hengling Meng, Jin Yang, Xiang Wei, Yong Min

“…High recoveries of pyrethroids were obtained at a low MNPs concentration because sonication enhances the contact chances between magnetic nanoparticles and extractable analytes and promotes the extractability of the MSPE process. After the extraction, the adsorbent can be conveniently separated from the sample solution by an external magnet, and the adsorbed analytes were eluted from magnetic Fe3O4@CNT. …”
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Development and Validation of a Computer Vision-Based Tool for Automated 3D Dental Model Arch Prediction by Juan David Tamayo Quintero, Juan Bernardo Gómez Mendoza, Sonia Victoria Guevara Pérez

“…The tool demonstrated substantial accuracy, with the potential to significantly enhance orthodontic diagnostic and treatment planning processes. Future research could further refine this methodology by exploring advanced mathematical models and incorporating machine learning techniques to optimize the selection process.…”
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Approaches to Pharmaceutical Analysis of Modern Peptide and Oligonucleotide Products as Illustrated by a Small Interfering RNA-Based Novel Therapeutic for the Treatment of Bronchia... by L. M. Krasnykh, V. V. Smirnov, G. V. Ramenskaya, G. F. Vasilenko, I. P. Shilovsky, M. R. Haitov

“…This article presents approaches to the development of test methods for analysis of purity and identification testing of a small interfering RNA-based novel medicinal product, which will help standardise and control the quality of the production process.…”
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Design and analysis of intelligent service chain system for network security resource pool by Zenan WANG, Jiahao LI, Chaohong TAN, Dechang PI

“…The traditional network security architecture ensures network security by directing traffic through hardware based network security function devices.Since the architecture consists of fixed hardware devices, it leads to a single form of network security area deployment and poor scalability.Besides, the architecture cannot be flexibly adjusted when facing network security events, making it difficult to meet the security needs of future networks.The intelligent service chain system for network security resource pool was based on software-defined network and network function virtualization technologies, which can effectively solve the above problems.Network security functions of virtual form were added based on network function virtualization technology, combined with the existing hardware network elements to build a network security resource pool.In addition, the switching equipment connected to the network security elements can be flexibly controlled based on software-defined network technology.Then a dynamically adjustable network security service chain was built.Network security events were detected based on security log detection and a expert library consisting of security rules.This enabled dynamic and intelligent regulation of the service chain by means of centralized control in the face of network security events.The deployment process of the service chain was mathematically modeled and a heuristic algorithm was designed to realize the optimal deployment of the service chain.By building a prototype system and conducting experiments, the results show that the designed system can detect security events in seconds and automatically adjust the security service chain in minutes when facing security events, and the designed heuristic algorithm can reduce the occupation of virtual resources by 65%.The proposed system is expected to be applied to the network security area at the exit of the campus and data center network, simplifying the operation and maintenance of this area and improving the deployment flexibility of this area.…”
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Performance Comparison of Different Pre-Trained Deep Learning Models in Classifying Brain MRI Images by Onur Sevli

“…MRI provides easy detection of abnormalities in the brain with its high resolution. …”
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MicroRNA in Ophthalmology by A. F. Brovkina, G. A. Yarovaya, N. D. Tsybikova

“…The specific mechanisms of their participation in the pathological process are insufficiently known. MicroRNAs were the first to be studied in patients with spinal muscular atrophy and leukemia. …”
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Adenoid cystic carcinoma of the parotid gland in a 27-year-old female patient: a case report by Malisaba Posite Charles, Mihret Adane Woldemichael, Muhindo Kavuyiro Alpha, Elias Amare Hailu, Samrawit Seyoum Halake, Elizabeth Vargas Escalante, Eluzai Ndiwelubula, Kambale Makatsi Jonas, Nkakyekorera Tindoho Sebastiano, Biruk Abera Tumdedo, Henry Wabinga

“…It also highlights the significance of following various steps in the diagnostic process.…”
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AI-Driven Accounting and Sensing Applications for Investment Management by Foziljonov Ibrohimjon, Yuldashev Jahongir, Turgunov Jasurbek, Khujamurodov Askarjon, Rozhkova Elena

“…Advancements in algorithmic sensing on financial datasets are challenging traditional conceptions of risk assessment and portfolio diversification, and in the process, opening up windows of opportunity for redefining the analytical frameworks associated with investment management practices. …”
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Multifactor Algorithm for Test Case Selection and Ordering by Atulya Gupta, Rajendra Prasad Mahapatra

“…Moreover, evolutionary algorithms such as the genetic process often help in depleting test cases, together with a concurrent decrease in computational runtime. …”
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Incorporation of XAI and Deep Learning in Biomedical Imaging: A Review by Sushil K. Singh, Bal Virdee, Saurabh Aggarwal, Abhilash Maroju

“…These tools can enhance confidence in AI systems, accelerate the diagnostic process, and ensure compliance with legal requirements. …”
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Overestimation of Astrophysical Gamma-Ray Energies during Thunderstorms: Synergy of Galactic and Atmospheric Accelerators by A. Chilingarian, M. Zazyan

“…Thus, the overestimation of the energy of primary particles is not an exotic process but a consequence of already well-established physical phenomena. …”
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Synergistic Joint Model of Knowledge Graph and LLM for Enhancing XAI-Based Clinical Decision Support Systems by Chaelim Park, Hayoung Lee, Seonghee Lee, Okran Jeong

“…Despite the excellent generalization capabilities of large-scale language models (LLMs), their severe limitations, such as illusions, lack of domain-specific knowledge, and ambiguity in the reasoning process, challenge their direct application to clinical decision support systems (CDSSs). …”
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Discovery of potential ovarian cancer biomarkers using low molecular weight blood plasma proteome profiling by mass spectrometry by V. E. Shevchenko, N. E. Arnotskaya, E. V. Ogorodnikova, N. R. Pogosyan, A. N. Gritsay, K. I. Zhordania

“…The given approach included three basic components: pre-preparation of samples, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and bioinformatics software for mass spectral data process- ing. Opportunities and prospects of the developed approach for the detection of potential ovarian cancer markers were shown. …”
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DEVIANT BEHAVIOR OF STUDENTS IN THE SOCIAL AND PSYCHOLOGICAL ADAPTATION IN HIGHER EDUCATION by Elena Yu. Dvoinikova

“…The causality of the effects of information load of a destructive nature to the general state of mental stability of students and their emo-tional burnout are detected. The burnout syndrome in the context of detection of symptoms is described. …”
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Mixed gain detector configurations for time-resolved X-ray solution scattering by Morten Lunn Haubro, Joseph Pon, Philip Adam Hart, Kristoffer Haldrup, Tim Brandt van Driel

“…X-ray detection at X-ray free-electron lasers is challenging in part due to the XFEL's extremely short and intense X-ray pulses. …”
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Multi-information fusion welding defect identification combining neighborhood rough set and optimized SVM by Zhiqiang FENG, Xianping ZENG, Naiwen FANG, Daidi ZHAO, Quan LI, Jiutian LUO, Xin LI

“…A multi-information fusion welding defect recognition method is proposed by combining NRS with optimized SVM to address the “big data” generated during the multi-sensor information fusion welding process. A fast reduction algorithm based on NRS was constructed using feature importance as inspiration information, and the DOA was used to select the key parameters of SVM. …”
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UAV Mission Path Planning Based on Reinforcement Learning in Dynamic Environment by Gui Fu, Yang Gao, Liwen Liu, Mingye Yang, Xinyu Zhu

“…Thus, a more reasonable path can be given to realize the reconnaissance and detection of points of interest. MATLAB simulation experiments show that the algorithm can effectively detect targets in complex terrain composed of terrain restricted areas, and return to the designated end point to complete communication. …”
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High-efficient transgenic hairy roots induction in chicory: re-dawn of a traditional herb by Sara Kabirnataj, Ghorbanali Nematzadeh, Jafar Zolala, Ahmad Farhad Talebi

“…In conclusion, the whole process was successfully optimized as a pre-step to manipulate the chicory hairy root cells to improve the unique potential of secondary metabolite production.…”
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FCEEG: federated learning-based seizure diagnosis through electroencephalogram (EEG) analysis by Zheng You Lim, Ying Han Pang, Shih Yin Ooi, Sarmela Raja Sekaran, Yee Jian Chew

“…However, these AI models require centralized data processing, thereby raising privacy concerns. Thus, we propose FCEEG, a convolutional-based deep learning with federated learning (FL) to diagnose seizures with EEG signals while preserving data privacy. …”
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Clinical manifestation, course and treatment results of Coats disease in children by L. V. Kogoleva, M. S. Ivanova, E. N. Demchenko, T. V. Sudovskaya, Ju. A. Bobrovskaya, N. Sh. Kokoeva, A. A. Makarova

“…At the time of disease detection, the children’s age varied from 1 to 16 years. …”
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