CAPABILITIES OF APPLYING VISIBLE LIGHT RAYS IN THE SYSTEMS OF HIDDEN INFORMATION TRANSMITTING by I. V. Pyslar, V. V. Brailovsky, M. G. Rozhdestvenska, M. M. Ivanchuk

“…We have investigated perception of the human vision to visual light pulses which have different power and frequency. …”
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Performance Analysis of a 90mm Multi Launcher Missile System Integrated with Radar for Vital Object Air Defense Against High Speed and Stealth Aerial Threats by Nur Rachman Supadmana Muda

“…As part of the conceptual framework, library research was also conducted to review the theory, method of loiter control, and waypoint navigation system on drones, as well as previous studies related to the integration of light weapons on multirotor platforms. …”
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Macrophages in rosacea: pathogenesis and therapeutic potential by Xiaolin Wang, Huanyu Shi, Xueli Li, Yanyan Feng

“…This review aims to comprehensively analyze and discuss the functions of macrophages, their involvement in the pathogenesis of rosacea, and their potential as therapeutic targets.MethodA systematic literature search was conducted using keywords such as “rosacea” and “macrophage” in databases including PubMed and Web of Science, without restrictions on article type or publication date, to ensure a comprehensive retrieval of relevant studies. …”
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THE CONCEPT OF THE NATIONAL HERO «QUONAKH» IN PAINTING AND GRAPHICS DURING THE CHECHEN CRISIS (90S OF THE TWENTIETH CENTURY) by Zarema R. Khamzatova

“…The use of the historical-biographical method allows us to trace the influence of specific historical personalities on the process of creating a pictorial image. …”
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Integrating Reverse Cycle Strategy in Circular Business Model Innovation: A Case Study by Ahmad Fatih Fudhla, Budisantoso Wirjodirdjo, Moses Laksono Singgih

“…Empowering the qualitative method, the research utilises the Business Model Canvas (BMC) to visually articulate and analyse business operations, interactions, and the impact of the RCS's ten principles (10R). …”
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Nature of boson peak and associated heat capacity anomaly caused by structural and proton disorder in Ih and LDA Ices by Rodion V. Belosludov, Kirill V. Gets, Ravil K. Zhdanov, Yulia Y. Bozhko, Vladimir R. Belosludov

“…Abstract In this work, the nature of the boson peak associated with the interaction between acoustic and optical phonons is revealed in low-density amorphous LDA ice and hexagonal crystalline ice (I h ) using the lattice dynamics method within the SPC/Emod water model. The appearance of these vibrations is associated with proton disordering in ice I h and with both protons and oxygen atoms in LDA ice. …”
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Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification by Marcos Loaiza-Arias, Andrés Marino Álvarez-Meza, David Cárdenas-Peña, Álvaro Ángel Orozco-Gutierrez, German Castellanos-Dominguez

“…On the GIGAScience MI dataset, experiments show that shallow neural networks are good at classifying MI-EEG data, while the CAM-based method finds spatio-frequency patterns. Moreover, the QMIP-CCA framework successfully correlates physiological data with MI-EEG performance, offering an enhanced, interpretable solution for BCIs.…”
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An Integrated Lateral and Longitudinal Decision-Making Model for Autonomous Driving Based on Deep Reinforcement Learning by Jianxun Cui, Boyuan Zhao, Mingcheng Qu

“…In addition, this paper also uses the nonlinear kinematic bicycle model and two-point visual control model to realize the low-level control of both MDV and ADV. …”
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Comprehensive Style Transfer for Facial Images Using Enhanced Feature Attribution in Generative Adversarial Nets by Yongseon Yoo, Seonggyu Kim, Jong-Min Lee

“…We propose a novel framework that enhances style transfer by combining AdaIN with Gram matrices, leveraging the complementary strengths of both approaches. Our method introduces two key innovations for enhanced feature attribution: 1) dual Gram matrix-based loss functions (G1 and G2), which operate at different stages of the generation process to capture richer style information by establishing deeper correlations between feature maps, and 2) a balanced training objective that integrates perceptual loss with cycle-consistency loss to maintain content fidelity during style transfer. …”
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Acute Respiratory Distress Identification via Multi-Modality Using Deep Learning by Wajahat Nawaz, Kevin Albert, Philippe Jouvet, Rita Noumeir

“…We propose leveraging multi-modality data to address these limitations. Our method integrates color and depth data using deep convolutional neural networks with a late feature fusion scheme. …”
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Real‐time object detection for unmanned vehicles in Bangladesh: Dataset, implementation and evaluation by Muhammad Liakat Ali, Topu Biswas, Shahin Akter, Mohammed Farhan Jawad, Hadaate Ullah

“…A set of experimental evaluations demonstrate that the proposed method is effective and efficient in recognizing Bangladeshi vehicles. …”
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TRAINING OF THE FUTURE INTERPRETERS’ WORKING MEMORY by Antonina V. Prokopenko, Valeriia M. Rava

“…In particular, such tactics as the mnemonic method, categorization, generalization, comparison, description and creation of notes are presented. …”
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Detection of pesticide and their effects on silkworm, Bombyx mori L. (Lepidoptera: Bombycidae) by Satish Lokanath, Kusuma Lingaiah, G. Manjappa, Mahiba Helen, Dahira Beevi, S. Manthira Moorthy, G. R. Manjunath

“…We also studied the effect of pesticides on commercially available AChE, and the results found that Anthranilic diamides, pyrethroid and fungicides also inhibited AChE in time-dependent spectrophotometric analysis. Further, a rapid visual screening paper-strip method for semi-qualitative detection of pesticides on mulberry leaf and soil was standardized using AChE (1.25 µL of 1000 U/mL) and indoxyl acetate (10 µL of 10 mM) on Whatman filter paper 1. …”
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YOLOv10-LGDA: An Improved Algorithm for Defect Detection in Citrus Fruits Across Diverse Backgrounds by Lun Wang, Rong Ye, Youqing Chen, Tong Li

“…We propose an improved YOLOv10-based disease detection method that replaces the traditional convolutional layers in the Backbone network with LDConv to enhance feature extraction capabilities. …”
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Hierarchical cross attention achieves pixel precise landslide segmentation in submeter optical imagery by Wenjie Hu, Guangtong Sun, Xiangqiang Zeng, Bo Tong, Zihao Wang, Xinyue Wu, Ping Song

“…The proposed method may serve as a reference for future advancements in landslide segmentation and other remote sensing segmentation tasks.…”
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Evaluating Perceived Resilience of Urban Parks Through Perception–Behavior Feedback Mechanisms: A Hybrid Multi-Criteria Decision-Making Approach by Zhuoyao Deng, Qingkun Du, Bijun Lei, Wei Bi

“…Methodologically, the study utilizes the Fuzzy Delphi Method (FDM) to identify 17 core indicators, constructs a causal structure and weighting system using DEMATEL-based ANP (DANP), and further employs the VIKOR model to simulate public preferences in a multi-criteria decision-making process. …”
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INTERRELATION DEGREE OF SEVERITY PTERYGOPALATINE GANGLIONITIS WITH THE HYGIENIC CONDITION OF THE ORAL CAVITY by I.A. Kolisnyk

“…Polymorphism of its manifestations significantly complicates diagnosis and choice of the optimal method of treatment, due to topographic, anatomical and functional features of the structure of peripheral vegetative nervous system of the head. …”
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MFSM-Net: Multimodal Feature Fusion for the Semantic Segmentation of Urban-Scale Textured 3D Meshes by Xinjie Hao, Jiahui Wang, Wei Leng, Rongting Zhang, Guangyun Zhang

“…Experimental results demonstrate that the proposed method achieves competitive performance in city-scale textured 3D mesh semantic segmentation, validating the effectiveness and potential of the cross-modal fusion strategy.…”
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Statistical analysis of periodic MHD chemically radiative casson flow over an inclined cylinder with entropy optimization by Md. Yousuf Ali, Mizanur Rahman

“…We employ a statistical approach, amalgamating the robust 6th order Runge-Kutta (R-K) integration algorithm with the Nachtsheim-Swigert (N-S) shooting iteration method, subsequent to converting the governing equations into Ordinary Differential Equation (ODE) form. …”
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State Estimation for Quadruped Robots on Non-Stationary Terrain via Invariant Extended Kalman Filter and Disturbance Observer by Mingfei Wan, Daoguang Liu, Jun Wu, Li Li, Zhangjun Peng, Zhigui Liu

“…Experiments conducted with the Jueying Mini quadruped robot on various non-stationary terrains show that the enhanced InEKF method offers notable advantages over traditional filters in compensating for foot-end slippage and adapting to different terrains.…”
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