The Fluorescent Sensing of BF₃ and Amines: A Dual Approach with Hydrazone Ligands by Haichao Ye, Liqin Liu, Dagang Shen, Chang Song, Huanhuan Wang

“…In this study, we present two types of fluorescent sensors, a hydrazone ligand (HL)-based fluorescent sensor for BF₃ detection and a novel sensor array using six boron difluoride (BF₂) hydrazone complexes (BFHs) for monitoring VOAs and BAs. …”
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Discrete Phase Shift IRS-Assisted Energy Harvesting in Cognitive Radio Networks With Spectrum Sensing by Lilian Chiru Kawala, Guoquan Li, Mihertie Habtamu Demeke, Junzhou Xiong, Hao Xiong, Hang Hu

“…These results highlight the transformative potential of IRS with discrete phase shifts in enhancing EH-CRN efficiency, particularly in improving energy harvesting and SU throughput under practical constraints.…”
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A Simple Blind Sampling Frequency Offset Estimation Scheme for Short-Reach DD-OFDM Systems by Hong Wen, Kang Geng, Qinghui Chen, Rui Deng, Ming Chen, Tiezhu Zong, Kunping Luo, Fengnian Liu

“…It can achieve high-precision SFO estimation while ensuring low computational complexity as well as high spectral efficiency. The experimental results show that the SFO estimation accuracy using the proposed scheme can be significantly reduced to as low as ±3 ppm when SFO ranges from −1000 ppm to +1000 ppm after 20-km standard single-mode fiber (SSMF) transmission. …”
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Comprehensive method for evaluating results of ultrasonic testing of parts and components of rolling stock when adjusting the sensitivity for different reflectors by A. N. KIREEV, V. V. BYKADOROV, M. A. KIREEVA

“…Diagnostics allows to increase the availability factor and the probability of uptime of the rolling stock, reduce the complexity and cost of periodic maintenance of its nodes. …”
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The Role and Forming of Internal Control Over the Economic Stability of Business Entities by A. N. Ryakhovskaya, M. V. Melnik

“…One of the major tasks of forming internal control and the audit of business entities in modern conditions is the timely detection of threats and risks of insolvency and the possibility of bankruptcy. …”
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Enhanced Rail Surface Defect Segmentation Using Polarization Imaging and Dual-Stream Feature Fusion by Yucheng Pan, Jiasi Chen, Peiwen Wu, Hongsheng Zhong, Zihao Deng, Daozong Sun

“…Rail surface defects pose significant risks to the operational efficiency and safety of industrial equipment. Traditional visual defect detection methods typically rely on high-quality RGB images; however, they struggle in low-light conditions due to small, low-contrast defects that blend into complex backgrounds. …”
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Fall recognition using a three stream spatio temporal GCN model with adaptive feature aggregation by Jungpil Shin, Abu Saleh Musa Miah, Rei Egawa, Koki Hirooka, Md. Al Mehedi Hasan, Yoichi Tomioka, Yong Seok Hwang

“…Additionally, the growing incidence of falls among the elderly, coupled with the urgent need to prevent suicide attempts resulting from medication overdose, underscores the critical importance of accurate and efficient methods of detecting a fall. This makes a computer-aided fall detection system necessary to save elderly people’s lives worldwide. …”
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Mathematical Model and Algorithm for Accurate Main Content Extraction From News Websites by Hamza Salem, Hadi Salloum, Manuel Mazzara

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Adaptive Multi-Scale Bayesian Framework for MFL Inspection of Steel Wire Ropes by Xiaoping Li, Yujie Sun, Xinyue Liu, Shaoxuan Zhang

“…Notably, our method showed superior performance in high-noise environments, reducing false positive rates while maintaining high detection sensitivity. While computational complexity in real-time processing remains a challenge, this study provides a robust solution for non-destructive testing of SWR, potentially improving inspection efficiency and defect localization accuracy. …”
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Unsupervised Cross-Domain Polarimetric Synthetic Aperture Radar (PolSAR) Change Monitoring Based on Limited-Label Transfer Learning and Vision Transformer by Xinyue Zhang, Rong Gui, Jun Hu, Jinghui Zhang, Lihuan Tan, Xixi Zhang

“…Accurate labels and supervised models are difficult to reuse between massive unlabeled time-series PolSAR data due to the complex distribution shifts caused by different imaging parameters, scene changes, and random noises. …”
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A Partitioned IRS-Aided Transmit SM Scheme for Wireless Communication by Liping Xiong, Yuyang Peng, Ming Yue, Haihong Wei, Runlong Ye, Fawaz AL-Hazemi, Mohammad Meraj Mirza

“…The theoretical analysis of average bit error rate (ABER) based on maximum likelihood (ML) detection and the computational complexity analysis are provided. …”
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Clinical Decision Support System for Liver Fibrosis Prediction in Hepatitis Patients: A Case Comparison of Two Soft Computing Techniques by Shaker El-Sappagh, Farman Ali, Amjad Ali, Abdeltawab Hendawi, Farid A. Badria, Doug Young Suh

“…The task of arriving at an accurate and timely diagnosis decision is always complex because of the dynamic, vagueness, and uncertainty associated with this disease. …”
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Risk-based approach to choosing the production asset management strategy for energy company by V. M. Levin, N. P. Guzhov, D. A. Boyarova

“…The tasks in this direction are quite relevant.PURPOSE: To develop a unified methodology that, from the general standpoint of a risk-based approach, would allow comparing two alternative strategies for managing the assets of an energy company "by periodicity, operating time" and "by technical condition", according to a set of key criteria for the effectiveness of M&R.METHODS: When solving problems, methods of forming and adjusting schedules for repairs of electrical equipment, calculating reliability and probabilities of failure in the power supply system of consumers, taking into account its circuit features, assessing the technical condition of equipment according to non-destructive testing and diagnostics, comparing the costs of maintaining and restoring reliability and damages from its violations were used.RESULTS: A risk-oriented methodology has been developed and verified, which makes it possible to evaluate and select the optimal equipment maintenance strategy for the energy company according to uniform efficiency criteria. …”
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Heat Resistance and Heat-and-Mass Transfer in Road Pavements by B. M. Khroustalev, . Liu Tingguo, V. D. Akeliev, . Li Zhongyu, H. Yu. Aliakseyeu, V. V. Zankаvich

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Application of Machine Learning Technologies for Managing Multifactor Threats in an Integrated Model of Cognitive Security Center at Defense Industry Enterprise by Pavel Panilov, Tatiana Tsibizova

“…The presented innovative model of the cognitive security center, based on machine learning technologies, represents a significant advancement in effectively managing multifactor threats in defense-industrial complex enterprises. This article provides a detailed examination of key elements of this model, including data analysis, anomaly detection, threat response, classification and optimization, as well as the notification system. …”
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Identifying the role of route choice behavior of motorcycle riders in microscopic simulation modeling under mixed traffic conditions by Siti Raudhatul Fadilah, Hiroaki Nishiuchi, An Minh Ngoc

“…The results demonstrate significant improvements in network efficiency when informed route selection behaviors are facilitated, particularly with comprehensive coverage across all road types. …”
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A new deep learning-based fast transcoding for internet of things applications by Jia Yang, Yonghong Peng, Linbo Qing, Yajuan Xue, Hong Yang

“…Abstract To achieve low-power video communication in Internet of Things, this study presents a new deep learning-based fast transcoding algorithm from distributed video coding (DVC) to high efficiency video coding (HEVC). The proposed method accelerates transcoding by minimizing HEVC encoding complexity. …”
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Automatic picking method for ground penetrating radar wave groups at rough coal-rock interfaces by Ying TIAN, Chunzhi LI, Shuo CHEN, Zihao WANG, Fuyan LYU, Qiang ZHANG, Meng HAN, Chengjun HU

“…Forward modeling and experimental results show that this method can accurately detect the position of rough coal-rock interfaces. …”
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Differential Evolution-Based End-Fire Realized Gain Optimization of Active and Parasitic Arrays by Rozita Konstantinou, Ihsan Kanbaz, Okan Yurduseven, Michail Matthaiou

“…The optimization process first maximizes the end-fire gain in the active array by selecting the optimal current excitation vector. For the parasitic arrays, the dipoles are reactively loaded based on the input impedances of the active dipoles, after which the optimization focuses on the inter-element distance to achieve a balance between the gain and the reflection efficiency. …”
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Features of assessing the investment attractiveness of high-tech projects by I. A. Mandych, A. V. Bykova, O. B. Gaiman

“…The general principles and approaches to methods of evaluating the efficiency were analyzed. A model of the priorities of high-tech projects was presented. …”
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