Showing 761 - 780 results of 962 for search 'while box testing', query time: 0.10s Refine Results
  1. 761

    Fluorescence by 5-aminolevulinic acid-induced protoporphyrin IX varies in tumor and normal tissues during robot-assisted partial nephrectomy for renal cell carcinoma by Takashi Matsuoka, Issei Suzuki, Ryosuke Suzuki, Arinobu Fukunaga, Yoichiro Tohi, Yoshio Sugino, Takuya Okada, Mutsushi Kawakita

    Published 2025-06-01
    “…In three cases, including this one, fluorescence was observed in both tumor and normal tissues ex vivo within a dark box. In the ex vivo analysis, two cases exhibited fluorescence in the tumor tissue without fluorescence in the normal tissue, while one exhibited the reverse. …”
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    EDTA tubes are suitable for insulin and C-peptide measurement in resource-limited settings and can be stored at room temperature for up to 24 hours. by Nathan Mubiru, Rogers Mukasa, Isaac Sekitoleko, Priscilla A Balungi, Ronald M Kakumba, Terry Ongaria, Hubert Nkabura, Moffat Nyirenda, Anxious J Niwaha, Wisdom P Nakanga

    Published 2025-01-01
    “…We investigated the mean % change from baseline of C-peptide and insulin in serum (plain tubes) vs plasma (K2EDTA tubes), centrifuged vs uncentrifuged, room vs cool box temperature on the stability of C-peptide and insulin up to 24 hours using Wilcoxon signed rank test. …”
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    Assessment and Knowledge of Long-Term Steroid Use and Its Related Cataract & Glaucoma Development Among Hail Residents by Algorinees RM, Alshammari BJ, Albalawi MA, Almozaini KH, Alharbi TF, Alshammari TA, Alghaslan MA, Almansour RN

    Published 2025-02-01
    “…Data analysis was done using SPSS version 26 based on descriptive statistics and relations using the Pearson X2 test and exact probability test.Results: The study surveyed young adults aged 18 years or more, with 51.8% being male. …”
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  6. 766

    Enhanced ensemble learning-based uncertainty and sensitivity analysis of ventilation rate in a novel radiative cooling building by Majid Mohsenpour, Mohsen Salimi, Atieh Kermani, Majid Amidpour

    Published 2025-01-01
    “…The analysis reveals that uncertainties have minimal impact in the reference building, while the test building demonstrates greater sensitivity during warmer months, emphasizing the importance of accounting for seasonal variations. …”
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  7. 767

    Effect of different tetra pack juices on microhardness of direct tooth colored-restorative materials by Nazish Fatima, Syed Yawar Ali Abidi, Fazal-Ur-Rehaman Qazi, Shahbaz Ahmed Jat

    Published 2013-01-01
    “…Statistical analysis included two-way ANOVA with repeated measurement and Tukey’s test. Results: Exposure to juices significantly reduced the hardness of both materials (p < 0.05), while deionized water did not affect the surface hardness of either material. …”
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    Investigation of the Effects of Different Plyometric Training Protocols on Punching Force and Muscle Performance in Male Boxers by Mehmet Söyler, Alper Cenk Gürkan, İdris Kayantaş, Serhat Aydın, Baykal Karataş, Meriç Eraslan, Musa Şahin, Hamza Küçük, Adela Badau, Dana Badau

    Published 2025-06-01
    “…Group 1, the Plyometric Stair Jump group, consisted of ten male boxers, while Group 2, the Plyometric Reaction Box Jump group, also included ten male boxers. …”
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  12. 772

    Gestational high-sucrose diet mediated vascular hyper-contractility in mesenteric arteries from offspring by Xinying Liu, Meng Liu, Chunxia Wang, Liting Duan, Qinggui Ren, Shuli Jiang, Jing Han, Hongwei Fu, Xiao Sun, Dongmei Man, Xueqin Feng

    Published 2025-03-01
    “…Wingless-related integration site (Wnt)/Ca2+ indicated by KEGG analysis was the essential pathway inducing vascular dysfunction in HS group. As a Wnt5a inhibitor, Box5 reduced MA tension induced by PE or 5-HT in HS group. …”
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    An explainable AI-based framework for predicting and optimizing blast-induced ground vibrations in surface mining by Charan Kumar Ala, Zefree Lazarus Mayaluri, Aman Kaushik, Nikhat Parveen, Surabhi Saxena, Abu Taha Zamani, Debendra Muduli

    Published 2025-09-01
    “…Unlike empirical equations that lack generalizability or black box ML models with limited transparency, the proposed approach embeds domain specific physical laws while leveraging data driven learning to improve both predictive accuracy and interpretability. …”
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