Micro-expression spotting based on multi-modal hierarchical semantic guided deep fusion and optical flow driven feature integration by Haolin Chang, Zhihua Xie, Fan Yang

“…Specifically, to obtain cross-modal complementary information, this scheme sequentially constructs a Multi-Scale Feature Extraction Module (MFEM) and a Multi-scale hierarchical Semantic-Guided Fusion Module (MSGFM). …”
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METRIC: Multiple preferences learning with refined item attributes for multimodal recommendation by Yunfei Zhao, Jie Guo, Longyu Wen, Letian Wang

“…Prior research typically utilizes multimodal data to construct item graphs, often overlooking the nuanced details within the data. …”
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Improved Variational Mode Decomposition Based on Scale Space Representation for Fault Diagnosis of Rolling Bearings by Baoxiang Wang, Guoqing Liu, Jihai Dai, Chuancang Ding

“…In concrete, the approach constructs a scale space by computing the inner product between the signal’s Fourier spectrum and a Gaussian function, and then identifies both the mode number and initial center frequencies through peak detection, ensuring more accurate and stable decomposition. …”
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An adaptive assessment method of power system transient stability considering PMU data loss by Binyu Ma, Jun Yang, Xiaotao Peng, Kezheng Jiang, Dan Liu, Kan Cao

“…The effect of the proposed method shows high accuracy and strong anti‐noise interference ability in case of data loss.…”
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Study on advanced aerogenerator with “rotor-in-socket” assembly type by Vladimir A Kostyukov, Mikhail Yu Medvedev, Andrey M. Maevskiy, Nikolay K. Poluyanovich, Vasily V. Savchenko

“…The obtained results show that the construction of the vortex-type turbine on the basis of the favourable interference concept of rotor and stator is promising. …”
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LEGAL ASPECTS OF INFORMATION POLICY IN THE MODERN SOCIETY: A COMPARATIVE ANALYSIS by A. V. Mal’ko, O. L. Soldatkina

“…In this fi eld, the UK experience is valuable, where the “Government as a platform” project is being implemented, and Germany, where the construction of «e-government» basically began with the  enhancement of the information culture of citizens and civil servants. …”
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Patent Analysis of the Electric Vehicle Battery Management Systems Based on the AHP and Entropy Weight Method by Dan Wan, Ling Peng, Hao Zhan

“…By integrating the analytic hierarchy process (AHP) and entropy weight method, a patent value evaluation model was constructed to identify key patents and assess their quality across four dimensions: technical, market, economic, and legal. …”
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A Dual-Functional and Efficient MOF-5@MWCNTs Electrochemical Sensing Device for the Measurement of Trace-Level Acetaminophenol and Dopamine by Jianxia Gu, Shuting Lang, Zhanbin Jin, Tingting Wei

“…The design and construction of dual-functional and high-efficiency electrochemical sensors are necessary for quantitative detection. …”
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YOLOv11-HRS: An Improved Model for Strawberry Ripeness Detection by Jianhua Liu, Jing Guo, Suxin Zhang

“…This model incorporates a hybrid channel–space attention mechanism to enhance its attention to key features and to reduce interference from complex backgrounds. Furthermore, the RepNCSPELAN4_L module is devised to enhance multi-scale target representation through contextual feature aggregation. …”
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A Distributed Magnetic Sensor Network: Vehicle Trajectory Tracking Based on Cellular Automaton by Xinpeng Yao, Yanli Sun, Mengfei Liu, Hua Wang, Zijian Wang, Wei Quan, Wen Rong

“…Experimental results show that while common errors include lane positioning, duplication, omission, and interference, these tend to counteract each other, resulting in a traffic volume detection accuracy of 99.6%. …”
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Building Fire Location Predictions Based on FDS and Hybrid Modelling by Yanxi Cao, Hongyan Ma, Shun Wang, Yingda Zhang

“…In addition, the model’s anti-interference performance was tested under various extreme conditions. …”
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River Surface Space–Time Image Velocimetry Based on Dual-Channel Residual Network by Ling Gao, Zhen Zhang, Lin Chen, Huabao Li

“…However, environmental interference often blurs weak tracer textures in STIs, limiting the accuracy of traditional MOT detection algorithms based on shallow features like images’ gray gradient. …”
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Design of Balanced Wide Gap No-Hit Zone Sequences with Optimal Auto-Correlation by Duehee Lee, Seho Lee, Jin-Ho Chung

“…This work introduces an algebraic construction that meets the full set of requirements in a single framework. …”
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Integrating 7-day D-dimer exposure into deep vein thrombosis risk prediction after gastrointestinal surgery by Shuwei Weng, Chen Ding, Die Hu, Likui Huang, Daoquan Peng

“…While D-dimer is a widely used biomarker for thrombosis, its postoperative specificity is limited due to inflammatory interference. This study introduces a novel cumulative metric—7-day D-dimer exposure (7dDDE)—to quantify perioperative coagulation burden. …”
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Syllable-, Bigram-, and Morphology-Driven Pseudoword Generation in Greek by Kosmas Kosmidis, Vassiliki Apostolouda, Anthi Revithiadou

“…Pseudowords are essential in (psycho)linguistic research, offering a way to study language without meaning interference. Various methods for creating pseudowords exist, but each has its limitations. …”
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Aberrant mitochondrial homeostasis at the crossroad of musculoskeletal ageing and non-small cell lung cancer. by Konstantinos Prokopidis, Panagiotis Giannos, Oliver C Witard, Daniel Peckham, Theocharis Ispoglou

“…Differentially expressed genes (DEGs) were used to construct protein-protein interaction networks and retrieve clustering gene modules. …”
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Traditional guidance mechanism based deep robust watermarking by Xuejing GUO, Yixiang FANG, Yi ZHAO, Tianzhu ZHANG, Wenchao ZENG, Junxiang WANG

“…With the development of network and multimedia technology, multimedia data has gradually become a key source of information for people, making digital media the primary battlefield for copyright protection and anti-counterfeit traceability.Digital watermarking techniques have been widely studied and recognized as important tools for copyright protection.However, the robustness of conventional digital watermarking methods is limited as sensitive digital media can easily be affected by noise and external interference during transmission.Then the existing powerful digital watermarking technology’s comprehensive resistance to all forms of attacks must be enhanced.Moreover, the conventional robust digital watermarking algorithm’s generalizability across a variety of image types is limited due to its embedding method.Deep learning has been widely used in the development of robust digital watermarking systems due to its self-learning abilities.However, current initialization techniques based on deep neural networks rely on random parameters and features, resulting in low-quality model generation, lengthy training times, and potential convergence issues.To address these challenges, a deep robust digital watermarking algorithm based on a traditional bootstrapping mechanism was proposed.It combined the benefits of both traditional digital watermarking techniques and deep neural networks, taking into account their learning abilities and robust characteristics.The algorithm used the classic robust digital watermarking algorithm to make watermarked photos, and the constructed feature guaranteed the resilience of traditional watermarked images.The final dense image was produced by fusing the conventionally watermarked image with the deep network using the U-Net structure.The testing results demonstrate that the technique can increase the stego image’s resistance to various attacks and provide superior visual quality compared to the conventional algorithm.…”
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Aware and unaware- stereotypes and gender scripts in family narratives in the process of education by Magda Karkowska

“…What is the significance of interference of messages from different environments (family, school, peer group) for the formation of a child's gender identity?…”
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Onboard LiDAR–Camera Deployment Optimization for Pavement Marking Distress Fusion Detection by Ciyun Lin, Wenjian Sun, Ganghao Sun, Bown Gong, Hongchao Liu

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Fiber Optics-Mechanics Coupling Sensor for High-Performance Hydrogen Detection by Xuhui Zhang, Xiaotong Li, Xinpu Zhang, Wei Peng

“…This proposed fiber hydrogen sensor is constructed by combining optics-mechanics coupling, specific adsorption of hydrogen to the surface of palladium (Pd), and Fabry-Pérot (F-P) interference mechanism; the optics-mechanics coupling is aroused by hydrogen-induced stress in the suspended Pd film, which functions as an F-P resonator mirror and a hydrogen-sensitive material. …”
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