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  1. 2761

    Effect of Nb/B addition on the flow behavior and mechanical properties of low-carbon steel using compact strip production by Ahmed Refaee, Eman El-Shenawy, Aly El Domiaty, Abdalla M. Abdalla, Reham Reda

    Published 2025-01-01
    “…The addition of B to Nb-bearing steel slightly refines the grain size of the as-rolled alloy, which in turn has a beneficial effect on its strength. …”
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    Article
  2. 2762

    The male germ unit association is independently regulated of GUM in Arabidopsis thaliana by Abdur Rauf, Anbang Wang, Yujia Li, Zhihao Lian, Shouxing Wei, Kashmala Jabbar, Muhammad Wisal, Ikramullah Khan, Muhammad Khalid, Jingyang Li

    Published 2024-07-01
    “…Abstract Cytoplasmic projections (CPs) formed by the generative and sperm cells link the male gametes with the vegetative cell (VC) nucleus, which are required to build the male germ unit (MGU) assemblage in the angiosperm pollen grain. As molecular and genetic controls underlying CP development and formation of the MGU are unknown, it was hypothesized that physical association between germ cells and the VC nucleus might be lost in germ unit malformed (gum) mutants or in those which either block generative cell (GC) division or that additionally prevent gamete differentiation. …”
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  3. 2763

    Phase stability and enhanced mechanical properties of nanocrystalline PVD CrCu coatings by Michael Burtscher, Christina Kainz, Paola Dorner, Simon Fellner, Velislava Terziyska, Markus Alfreider, Daniel Kiener

    Published 2025-03-01
    “…The current work investigates the possibility of strengthening grain boundaries by nanoprecipitates using a CrCu coating model system. …”
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  4. 2764

    PERSPECTIVES OF NANOPOWDERS APPLICATION FOR MANUFACTURING OF MODIFYING ALLOYING COMPOSITIONS by A. Kalinichenko, A. Slutsky, V. Sheinert, N. Zyk, V. Borodulya, О. Rabinovich

    Published 2015-04-01
    “…Application of nanomaterials for grain refining of metals and its allac is of great interest as it aimis achieveto higher physicalmechanical properties in finished parts. …”
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    Article
  5. 2765

    Development of a rapid detection technology system for noxious plants based on a novel isothermal amplification technique by Ting Zhang, Ting Zhang, Han Xu, Mengdi Liu, Wei Zhang

    Published 2025-01-01
    “…We targeted the seeds, leaves, and grain impurities of four major noxious weeds: Amaranthus palmeri, the A.tuberculatus complex, Rhaponticum repens, and Euphrosyne xanthiifolia, we designed and screened primers and probes suitable for this isothermal amplification method, determined their limit of detection, optimized the genomic DNA extraction methods, and verified the method. …”
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    Article
  6. 2766

    Blockchain sharding scheme based on generative AI and DRL: Applied to building internet of things by Jinlong Wang, Yixin Li, Yunting Wu, Wenhu Zheng, Shangzhuo Zhou, Xiaoyun Xiong

    Published 2024-01-01
    “…However, since the historical interaction characteristics do not accurately reflect the interaction details within specific fine-grained time periods, this leads to poor system performance. …”
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    Article
  7. 2767

    The formation and stripping mechanism of oxide film on stainless steel surfaces by Zhenqi Shen, Guangkai Wang, Fang Bao, Tianhao Liu, Yang Fei, Zhenni Xie, Yuxin Liang, Xincheng Wang

    Published 2024-06-01
    “…Furthermore, the stripping mechanism of oxide films on stainless steel surfaces was proposed, revealing the transition from a passivated state to an over-passivated state in nitric acid environments and leading to intergranular corrosion and potential grain detachment.…”
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    Article
  8. 2768

    AlgaeClass_Net: Optimizing Few-Shot Marine Microalgae Classification With Multi-Scale Feature Enhancement Network by Dan Liu, Guihong Yuan, Huachao Tan, Yanbo Jiang, Hai Bi, Yuan Cheng

    Published 2025-01-01
    “…In this paper, an AlgaeClass_Net algorithm that combines an improved multi-scale feature fusion with a feature enhancement module is proposed for the fine-grained features of microalgae. Furthermore, it utilizes a metric learning approach to classify few-shot microalgae by calculating the distances between the feature vectors of samples in the query set and the feature vectors of samples in the support set. …”
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    Article
  9. 2769

    WGAN-GP for Synthetic Retinal Image Generation: Enhancing Sensor-Based Medical Imaging for Classification Models by Héctor Anaya-Sánchez, Leopoldo Altamirano-Robles, Raquel Díaz-Hernández, Saúl Zapotecas-Martínez

    Published 2024-12-01
    “…We evaluated the method across multiple retinal image datasets, including Retinal-Lesions, Fine-Grained Annotated Diabetic Retinopathy (FGADR), Indian Diabetic Retinopathy Image Dataset (IDRiD), and the Kaggle Diabetic Retinopathy dataset. …”
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    Article
  10. 2770

    MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition by S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi

    Published 2025-02-01
    “…This problem often involves detecting objects with multiple attributes, necessitating sophisticated models capable of both high-level differentiation and fine-grained feature extraction. The integration of object detection and attribute recognition typically relies on approaches such as dual-stage networks, where accurate predictions depend on advanced feature extraction techniques, such as Region of Interest (RoI) pooling. …”
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    Article
  11. 2771

    SCREENING FOR MAIZE RESISTANT GENOTYPES AGAINST STALK BORERS’ (Sesamia calamistis Hampson) INFESTATION IN MINNA, NIGER STATE, NIGERIA by Idowu, G.A., Oyewale, R.O., Jiboh, B.S., Bolajoko, M.H., Ibrahim, H.M., Bello, A.K

    Published 2024-06-01
    “…MG-C and MG-A had the highest grain yields among the genotypes. Therefore, MG-H and MG-S were recommended as tolerant maize genotypes while MG-C and MG-S were also recommended as high yielding maize genotypes among other genotypes under study.…”
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  12. 2772

    A multigrained preference analysis method for product iterative design incorporating AI-generated review detection by Zhaojing Su, Mei Yang, Qingbo Zhai, Kaiyuan Guo, Yuexin Huang, Yangfan Cong

    Published 2025-01-01
    “…Subsequently, attribute-grained preference analysis is considered a text-filling problem and uses the text-infilling objective for domain-adaptive pretraining, facilitating knowledge transfer. …”
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  13. 2773

    Ion irradiation introduced high-density core-shell structured nanoprecipitates in FeCrNi by Yizhou Qian, Xiaolei Ma, Kangkang Wen, Siyu Chen, Yiheng Chen, Yugang Wang, Tongde Shen, Gang Sha, Chenxu Wang

    Published 2025-03-01
    “…This synthesis method overcomes traditional limitations posed by thermodynamic constraints and grain boundary (GB) agglomeration, providing a potential pathway for the precise tailoring of microstructures. …”
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    Article
  14. 2774

    Statistical Model for the Mechanical Properties of Al-Cu-Mg-Ag Alloys at High Temperatures by A. M. Al-Obaisi, E. A. El-Danaf, A. E. Ragab, M. S. Soliman, A. N. Alhazaa

    Published 2017-01-01
    “…The main concern in such alloys is to maintain mechanical properties during operation at high temperatures. Grain coarsening and instability of precipitates could be the main reasons behind mechanical strength deterioration in these applications. …”
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    Article
  15. 2775

    A deep learning method for differentiating safflower germplasm using optimal leaf structure features by Hoang Thien Van, Phuong Thuy Khuat, Trang Van, Thai Thanh Tuan, Yong Suk Chung

    Published 2025-03-01
    “…Traditional classification methods can be time-consuming and error prone, underscoring the need for fine-grained classification techniques. To address this, we introduce a novel comprehensive leaf database of safflower varieties that is meticulously curated by experts. …”
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    Article
  16. 2776

    Loss-Aware Histogram Binning and Principal Component Analysis for Customer Fleet Analytics by Kunxiong Ling, Jan Thiele, Thomas Setzer

    Published 2024-01-01
    “…We propose a method to estimate information loss when conducting histogram binning and principal component analysis (PCA) sequentially, as usually done in practice for fleet analytics. Coarser-grained histogram binning results in less data volume, fewer dimensions, but more information loss. …”
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    Article
  17. 2777

    Physics-Based SPICE-Compatible Compact Model of FLASH Memory With Poly-Si Channel for Computing-in-Memory Applications by Jung Rae Cho, Donghyun Ryu, Donguk Kim, Wonjung Kim, Yeonwoo Kim, Changwook Kim, Yoon Kim, Myounggon Kang, Jiyong Woo, Dae Hwan Kim

    Published 2025-01-01
    “…Moreover, considering recent FLASH memory fabrication processes, we found that grain boundaries in polycrystalline silicon channel materials can be involved in deteriorating gate controllability. …”
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    Article
  18. 2778

    Properties of Laminated Board Made from Kapok Wood at Different Sawing Pattern of Lamina and Core Layer Orientation by Muhammad Navis Rofii, Vendy Eko Prasetyo, Tomy Listyanto, Annisa Primaningtyas, Yustinus Suranto, Tibertius Agus Prayitno, Ragil Widyorini

    Published 2022-03-01
    “…Generally, laminated board from kapok wood with the parallel grain direction of the core layer resulted in higher static bending properties and bonding strength than the perpendicular one.…”
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  19. 2779

    UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors by Yi Xu, Zhigang Chen, Ming Zhao, Fengxiao Tang, Yangfan Li, Jiaqi Liu, Nei Kato

    Published 2025-01-01
    “…The tracking performance in dynamic contexts is still unreliable for ambient camera-based methods, despite their general ability to pinpoint pedestrians in video frames at fine-grained levels. Contrarily, ultra-wideband-based technology can continuously track pedestrians, but they are frequently susceptible to the effects of non-line-of-sight (NLOS) errors on the surrounding environment. …”
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    Article
  20. 2780

    Dynamic graph structure and spatio-temporal representations in wind power forecasting by Zang Peng, Dong Wenqi, Wang Jing, Fu Jianglong

    Published 2025-01-01
    “…Additionally, a dual-scale temporal graph learning (DTG) module is further proposed to explore the implicit spatio-temporal features at a fine-grained level using different skip connections from the constructed graph data. …”
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