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  15. 7595

    Current Status and Future Prospects of the SNO+ Experiment by S. Andringa, E. Arushanova, S. Asahi, M. Askins, D. J. Auty, A. R. Back, Z. Barnard, N. Barros, E. W. Beier, A. Bialek, S. D. Biller, E. Blucher, R. Bonventre, D. Braid, E. Caden, E. Callaghan, J. Caravaca, J. Carvalho, L. Cavalli, D. Chauhan, M. Chen, O. Chkvorets, K. Clark, B. Cleveland, I. T. Coulter, D. Cressy, X. Dai, C. Darrach, B. Davis-Purcell, R. Deen, M. M. Depatie, F. Descamps, F. Di Lodovico, N. Duhaime, F. Duncan, J. Dunger, E. Falk, N. Fatemighomi, R. Ford, P. Gorel, C. Grant, S. Grullon, E. Guillian, A. L. Hallin, D. Hallman, S. Hans, J. Hartnell, P. Harvey, M. Hedayatipour, W. J. Heintzelman, R. L. Helmer, B. Hreljac, J. Hu, T. Iida, C. M. Jackson, N. A. Jelley, C. Jillings, C. Jones, P. G. Jones, K. Kamdin, T. Kaptanoglu, J. Kaspar, P. Keener, P. Khaghani, L. Kippenbrock, J. R. Klein, R. Knapik, J. N. Kofron, L. L. Kormos, S. Korte, C. Kraus, C. B. Krauss, K. Labe, I. Lam, C. Lan, B. J. Land, S. Langrock, A. LaTorre, I. Lawson, G. M. Lefeuvre, E. J. Leming, J. Lidgard, X. Liu, Y. Liu, V. Lozza, S. Maguire, A. Maio, K. Majumdar, S. Manecki, J. Maneira, E. Marzec, A. Mastbaum, N. McCauley, A. B. McDonald, J. E. McMillan, P. Mekarski, C. Miller, Y. Mohan, E. Mony, M. J. Mottram, V. Novikov, H. M. O’Keeffe, E. O’Sullivan, G. D. Orebi Gann, M. J. Parnell, S. J. M. Peeters, T. Pershing, Z. Petriw, G. Prior, J. C. Prouty, S. Quirk, A. Reichold, A. Robertson, J. Rose, R. Rosero, P. M. Rost, J. Rumleskie, M. A. Schumaker, M. H. Schwendener, D. Scislowski, J. Secrest, M. Seddighin, L. Segui, S. Seibert, T. Shantz, T. M. Shokair, L. Sibley, J. R. Sinclair, K. Singh, P. Skensved, A. Sörensen, T. Sonley, R. Stainforth, M. Strait, M. I. Stringer, R. Svoboda, J. Tatar, L. Tian, N. Tolich, J. Tseng, H. W. C. Tseung, R. Van Berg, E. Vázquez-Jáuregui, C. Virtue, B. von Krosigk, J. M. G. Walker, M. Walker, O. Wasalski, J. Waterfield, R. F. White, J. R. Wilson, T. J. Winchester, A. Wright, M. Yeh, T. Zhao, K. Zuber

    Published 2016-01-01
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  16. 7596

    Effect and Mechanism of Action of Pushing Method on Rats with Skeletal Muscle Overuse Injury based on Wnt/β-catenin Signaling Pathway by DUAN Miaomiao, HUANG Bo, RUAN Lei, MU Pangpang, CHEN Yiming, PENG Liang

    Published 2024-01-01
    “…The balance beam test was used to assess the motor function of the rats after skeletal muscle injury at 24 h after the end of modeling and 24 h after the end of the intervention, respectively; hematoxylin-eosin staining (HE) method was used to observe the pathological changes of the gastrocnemius muscle; EM-1400 transmission electron microscope was used to observe the ultrastructure of the skeletal muscle fibers; and fluorescence PCR was used to detect the myogenic regulatory factor myogenic differentiation antigen (Myogenic differentiation antigen (MyoD), myogenin (MyoG) and paired box 7 (Pax7) mRNA transcript levels were detected by fluorescence quantitative PCR; MyoD, MyoG, Pax7, Wnt3a, Axin2 and β-catenin protein expression levels were detected by Western blot. …”
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  17. 7597

    The Effect of Corona Dormancy on the Physiological Stress and Main Nutritional Components in the Transport of Trachinotus ovatus During Survival by Siwei LIU, Jiamei ZHONG, Xiuping FAN, Xiaoming QIN, Jian SHEN, Wenqi XU

    Published 2025-02-01
    “…In this study, T. ovatus were placed in an electric shock box after 6 h of temporary rearing. The T. ovatus were shocked by pulsed DC currents. …”
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  18. 7598

    MSH-YOLOv8: Mushroom Small Object Detection Method with Scale Reconstruction and Fusion by YE Dapeng, JING Jun, ZHANG Zhide, LI Huihuang, WU Haoyu, XIE Limin

    Published 2024-09-01
    “…In the post-processing phase, dynamic resolution training, multi-scale testing, soft non-maximum suppression (Soft-NMS), and weighted boxes fusion (WBF) were applied to enhance the model's small object detection capabilities under varying scales.…”
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  19. 7599

    Grape Recognition and Localization Method Based on 3C-YOLOv8n and Depth Camera by LIU Chang, SUN Yu, YANG Jing, WANG Fengchao, CHEN Jin

    Published 2024-11-01
    “…The camera's depth sensor facilitated the acquisition of the three-dimensional point cloud of grapes, allowing for the calculation of the distance from the pixel point to the camera and the subsequent determination of the three-dimensional coordinates of the center of the target's bounding box in the camera coordinate system, thus achieving grape recognition and localization.…”
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  20. 7600

    Lightweight Daylily Grading and Detection Model Based on Improved YOLOv10 by JIN Xuemeng, LIANG Xiyin, DENG Pengfei

    Published 2024-09-01
    “…This design guided the anchor box regression along a more direct path, helping the model better fit the data and improve overall performance.…”
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