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  1. 3461

    Thermal tuning of nanocomposites for superior cadmium ion adsorption by Ehab A. Abdelrahman, Mohamed N. Goda, Abdalla M. Khedr, Fawaz A. Saad, Reem K. Shah

    Published 2025-07-01
    “…Kinetic modeling followed the pseudo-second-order model, while isotherm analysis fit the Langmuir-type isotherm, suggesting single-layer adsorption occurring uniformly across the adsorbent surface.…”
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  2. 3462

    Numerical simulation of snow deposition around structural snow fences by K. Yu. Litvintsev, A. A. Gavrilov, A. A. Dekterev, Yu. N. Zaharinsky, A. A. Minakov, S. A. Filimonov, K. A. Finnikov

    Published 2023-01-01
    “…As part of the solution of these problems, a software package has been developed aimed at numerical modeling of snow transport processes and implementing the snow protection measures. …”
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  3. 3463

    Brownian motion effects and thermophoresis on heat transmission mechanism of hybrid nano liquid flow over a stretched wedge surface by Sharanayya Swami, Suresh Biradar, Jagadish V Tawade, Vediyappan Govindan, Haewon Byeon, Busayamas Pimpunchat

    Published 2025-06-01
    “…The suction and injection of the fluid significantly impact the local heat transfer rates and boundary layer thickness. Additionally, the Buongiorno slip parameter reduces the rate of energy transfer while amplifying thermal distributions. …”
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  4. 3464

    GEOLOGICAL FACTORS INFLUENCE ON OILWELLS FLOODING AT SMALL FIELDS by R. A. Gasumov, E. R. Gasumov

    Published 2022-07-01
    “…In wells located inside oil-drainage line the source of water is the overlying aquifer thermal layer. The oil field is confined to a hydrodynamic trap that is it corresponds to the classical model. …”
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  5. 3465

    Detection of Adulteration in Food Using Recurrent Neural Network with Internet of Things by Vishwesh Nagamalla, B. Muthu Kumar, Neha Janu, Anusha Preetham, Syam Machinathu Parambil Gangadharan, Mejdal A. Alqahtani, Rajnish Ratna

    Published 2022-01-01
    “…An automated sensing system for the detection of synthetic milk, based on a microcontroller, has been created in order to reduce the reliance on specialised labour and to improve efficiency. In order to model the sensor, the dipole layer capacitance at the interface of the impedance sensor immersed in milk and the contaminated milk must be taken into account throughout the modelling process. …”
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  6. 3466

    Residual service stresses on tread of P65 rail by V. I. Sakalo, A. V. Sakalo

    Published 2025-06-01
    “…Considering the obtained residual stresses in the methods of modeling the processes of accumulation of rolling contact fatigue damage would allow to improve them and increase the accuracy of the obtained results.…”
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  7. 3467

    Functionalization of biochar using SDS/SAP nanomicelles enhanced its immobilization capacity for dyes and heavy metals in water by Kun Tian, Chunping Li, Huiming Liu, Lianchun Wang

    Published 2025-02-01
    “…The adsorption behavior of SDMBC for MB show that process was found to be spontaneous, propitious, endothermic, the adsorption isotherms fitted Freundlich models well, pseudo-second-order best describes kinetics adsorption, suggesting that the process is multi-layer chemical adsorption. …”
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  8. 3468

    INTERPRETATION OF COAL POTENTION USING GROUND PENETRATING RADAR (GPR) METHOD by Rohmatul Wahidah, Abdul Basid

    Published 2018-01-01
    “…Only in 2nd track contain little of coal. The Coal layers are appear in processing the results of data is thickness about 6 at the top. …”
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  9. 3469

    Integrating holographic counterparts for intelligent IoT consumer devices by M. Rajesh, M. Usha, Sathishkumar Veerappampalayam Easwaramoorthy

    Published 2025-07-01
    “…In order to overcome the shortcomings of conventional Internet of Things (IoT) systems, such as slow response times, lack of flexibility, and security flaws, this article introduces a new multi-layered HC-IoT design that integrates blockchain technology, artificial intelligence (AI), edge computing, and quantum-assisted processing. …”
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    Article
  10. 3470

    Mean Arteriolar Diameter Measured from Wide-Field Swept-Source OCT Angiography: A Highly Sensitive Indicator for Mean Arterial Pressure by Yuchen Li, Yuyao Qu, Hanze Zhang, Yue Bian, Langxuan Yuan, Jingbo Hu, Shengrui Xu, Xiayu Xu, PhD, Jianqin Lei, MD

    Published 2025-05-01
    “…Retinal arterioles and venules were manually segmented and distinguished from the disc margin to their capillary junctions in the superficial retinal layer. Image processing and calculations were performed using ImageJ. …”
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  11. 3471

    Study on flexural behavior of CO2 cured recycled coarse aggregate concrete steel bar trusses composite slab by Yueqing Gao, Sijie Shen, Ke Ye, Zeshen Li, Wei Wang, Jingyi Lu, Shaodan Hou, Yangyang Yin, Chaofeng Liang

    Published 2025-12-01
    “…The results indicated that: (1) The mechanical properties of RAC after carbonation were significantly improved, and the concrete prepared by the combined method of aggregate carbonation and overall specimen carbonation showed the highest strength. (2) The stress-strain constitutive models of RAC under different carbonation methods were built according to the experimental results. (3) The failure modes of the carbonated concrete SBTCSs were basically consistent and the precast layer and the cast-in-situ layer deformed coordinately during the loading process. (4) The SBTCS prepared by the combined method of aggregate carbonation and overall specimen carbonation showed the best bending performance, and the ultimate load bearing capacity increased by 16.2 % compared to the SBTCS made by non-carbonated RAC. (5) The load-displacement curves and damage contours of the SBTCSs obtained from the numerical analysis were in good agreement with the experimental results, and the maximum deviation between the simulated ultimate load and the experimental value was 8.8 %.…”
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  12. 3472

    A hybrid machine learning algorithm approach to predictive maintenance tasks: A comparison with machine learning algorithms by Jorge Paredes, Danilo Chávez, Ramiro Isa-Jara, Diego Vargas

    Published 2025-06-01
    “…The results indicate that the proposed hybrid approach increases accuracy by 15% compared to models that use a single supervised learning algorithm, such as support vector regression (SVR), multi-layer perceptron (MLP), convolutional neural networks (CNN), and long short-term memory (LSTM), and an increase in accuracy of 4% over other hybrid algorithms, such as convolutional neural networks and long short-term memory. …”
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  13. 3473

    Vertical distribution characteristics and source apportionment of nitrogen in the Longyangxia Reservoir in the upper reaches of the Yellow River. by Wei Wu, Yuhe Dong, Chen Li, Hang Chen, Lei Ren, Sheng Xu

    Published 2025-01-01
    “…The dynamics of nitrate in the bottom layer are influenced by nitrification processes and the release of nitrogen from sediment. …”
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  14. 3474

    Computing Continuum Simulator: A comprehensive framework for continuum architecture evaluation by Pablo Rodríguez, Sergio Laso, Javier Berrocal, Pablo Fernández, Antonio Ruiz-Cortés, Juan Manuel Murillo

    Published 2025-05-01
    “…Unlike traditional cloud models, Computing Continuum integrates resources across edge, fog, and cloud layers, bringing data processing closer to its source. …”
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  15. 3475

    Convolutional sparse coding network for sparse seismic time-frequency representation by Qiansheng Wei, Zishuai Li, Haonan Feng, Yueying Jiang, Yang Yang, Zhiguo Wang

    Published 2025-06-01
    “…Seismic time-frequency (TF) transforms are essential tools in reservoir interpretation and signal processing, particularly for characterizing frequency variations in non-stationary seismic data. …”
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  16. 3476

    Shuffle window transformer DeepLabV3+: a lightweight convolutional neural network and transformer based hybrid semantic segmentation network by Yane Li, Zhichao Chen, Hongxia Qi, Ming Fan, Lihua Li

    Published 2025-01-01
    “…Experimental results demonstrate that on three public datasets (PASCAL VOC 2012, Cityscapes, and CamVid), SWT-DeepLabV3+ exhibits outstanding segmentation performance under conditions of lower parameter count and computational cost, validating the model’s capability to achieve efficient processing while maintaining high accuracy.…”
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  17. 3477

    A brittle fracture criterion for PMMA V-notches tensile specimens based on a length-enriched eXtended Finite Element approach by E. Benvenuti, R. Tovo, P. Livieri

    Published 2013-04-01
    “…The main feature of the proposed approach is that the cracking process is not treated as a local process, but it is modeled by assuming that macro-cracks stem from the interaction of micro-cracks within a finite width process zone. …”
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  18. 3478

    Impact of infill pattern and infill density on mechanical properties of FDM 3D printed parts: a review by Abdellah El omari, Aissa Ouballouch, Mohammed Nassraoui

    Published 2024-01-01
    “… Fused Deposition Modeling (FDM) process is widely used for various applications as it offers many benefits. …”
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  19. 3479

    A brittle fracture criterion for PMMA V-notches tensile specimens based on a length-enriched eXtended Finite Element approach by E. Benvenuti, R. Tovo, P. Livieri

    Published 2013-04-01
    “…The main feature of the proposed approach is that the cracking process is not treated as a local process, but it is modeled by assuming that macro-cracks stem from the interaction of micro-cracks within a finite width process zone. …”
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    Article
  20. 3480

    Seismic Random Noise Attenuation Using DARE U-Net by Tara P. Banjade, Cong Zhou, Hui Chen, Hongxing Li, Juzhi Deng, Feng Zhou, Rajan Adhikari

    Published 2024-10-01
    “…Dense connections enhance the receptive field and ensure that information from different scales is considered during the denoising process. Our model implements local residual connections between layers within the encoder, which allows earlier layers to directly connect with deep layers. …”
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