Showing 241 - 260 results of 2,073 for search 'P detection efficiency', query time: 0.16s Refine Results
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    The application of deep learning in early enamel demineralization detection by Ketai He, Rongxiu Zhang, Muchun Liang, Keyue Tian, Kaihui Luo, Ruoshi Chen, Jianpeng Ren, Jiajun Wang, Juan Li

    Published 2025-01-01
    “…With the the model’s assistance, the junior dentists’ average F1-scores improved significantly—from 0.713 and 0.689 to 0.897 and 0.949, respectively (p < 0.05). The model accurately segmented tooth surfaces and detected demineralized areas, allowing for precise detection of demineralized areas and monitoring of lesion progression. …”
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  3. 243

    Comparison of survey techniques on detection of northern flying squirrels by Corinne A. Diggins, L. Michelle Gilley, Christine A. Kelly, W. Mark Ford

    Published 2016-12-01
    “…Traditional methods, such as live capture, can be labor‐intensive, invasive, and produce low detection rates. Technological advances and new approaches provide opportunities to more effectively survey for species both in terms of accuracy and efficiency than previous methods. …”
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  4. 244

    Reliable and Sensitive Detection of Carbonylated Proteins by Oxime Blot by Filip Mikuli&amp;cacute;, Viktor Mer&amp;cacute;ep, Marcela Finek, Mladen Mer&amp;cacute;ep

    Published 2025-08-01
    “…The derivatization reaction reaches a plateau within 3 h. It ensures efficient and complete derivatization of carbonylated proteins, which are separated by SDS-PAGE without additional manipulation and detected with avidin-HRP and enhanced chemiluminescence (ECL) in western blotting. …”
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    Targeted Next-Generation Sequencing in Pneumonia: Applications in the Detection of Responsible Pathogens, Antimicrobial Resistance, and Virulence by Liu B, Bao Z, Chen W, Xi X, Ge X, Zhou J, Zheng X, Zhang P, Deng W, Ding R, Zhou M, Fang J

    Published 2025-01-01
    “…A total of 144 virulence genes were detected for four common pathogens. And patients with virulence genes detected were of higher proportions of severe pneumonia (95.0% vs 42.9%, P = 0.009), acute respiratory distress syndrome (55.0% vs 0%, P = 0.022), and neutrophils (82.3% vs 62.2%, P = 0.026) than those not.Conclusion: In patients with pneumonia, tNGS could detect the responsible pathogens, AMR genes, and virulence genes simultaneously, serving as an efficient and cost-effective tool for the diagnosis, treatment, and severity indication of pneumonia.Keywords: targeted next-generation sequencing, pneumonia, pathogen, antimicrobial resistance, virulence…”
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    Electrospun Nanofiber-Based Biosensors for Foodborne Bacteria Detection by Haoming Yang, Song Yan, Tianxi Yang

    Published 2024-09-01
    “…Consequently, it is crucial to develop accurate and efficient sensing platforms to detect foodborne bacteria in food products. …”
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    Objective and Subjective Evaluation of Online Error Correction during P300-Based Spelling by Perrin Margaux, Maby Emmanuel, Daligault Sébastien, Bertrand Olivier, Mattout Jérémie

    Published 2012-01-01
    “…Furthermore, the fine examination of interindividual differences in the efficiency of error correction and spelling clearly distinguished between two groups who differed according to individual specificity in ErrP detection. …”
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    AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features by Ruochen Zhang, Hyeung-Sik Choi, Dongwook Jung, Phan Huy Nam Anh, Sang-Ki Jeong, Zihao Zhu

    Published 2025-07-01
    “…Leveraging the DepthFusion Transformer (DFT) architecture, AuxDepthNet globally integrates visual and depth-sensitive features through depth-guided interactions, ensuring robust and efficient detection. Extensive experiments on the KITTI dataset show that AuxDepthNet achieves state-of-the-art performance, with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>P</mi></mrow><mrow><mn>3</mn><mi>D</mi></mrow></msub></mrow></semantics></math></inline-formula> scores of 24.72% (Easy), 18.63% (Moderate), and 15.31% (Hard), and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>A</mi><mi>P</mi></mrow><mrow><mi>B</mi><mi>E</mi><mi>V</mi></mrow></msub></mrow></semantics></math></inline-formula> scores of 34.11% (Easy), 25.18% (Moderate), and 21.90% (Hard) at an IoU threshold of 0.7.…”
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    What Is the Most Cost-Effective Breeding Program for Lactating Dairy Cows—Timed AI, Estrous Detection, or a Combination of Both? by Klibs N. Galvão, Gustavo M. Schuenemann, Eduardo S. Ribeiro, Jose Eduardo P. Santos

    Published 2014-09-01
    “…Ribeiro, and Jose Eduardo P. Santos, and published by the UF Department of Veterinary Medicine-Large Animal Clinical Sciences, May 2014. …”
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    What Is the Most Cost-Effective Breeding Program for Lactating Dairy Cows—Timed AI, Estrous Detection, or a Combination of Both? by Klibs N. Galvão, Gustavo M. Schuenemann, Eduardo S. Ribeiro, Jose Eduardo P. Santos

    Published 2014-09-01
    “…Ribeiro, and Jose Eduardo P. Santos, and published by the UF Department of Veterinary Medicine-Large Animal Clinical Sciences, May 2014. …”
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  18. 258

    Ultra-rapid analysis of p53 gene for lung cancer diagnosis within 60 s by Yang Yu, Yanguang Ding, Yu Sun, Jing Yang, Liangjie Feng, Chang Liu, Menglong Shu, Fengchao Wang, Jin Chen

    Published 2025-06-01
    “…In the current work, a lab-built high-speed capillary electrophoresis (HSCE) system coupled with an ultra-short identification microchannel (25 mm) and a facile-to-use space domain internal standard quantification method (SDIS) was employed for the high-efficient analysis of the typical lung-cancer tumor (p53 gene). …”
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