Showing 10,581 - 10,600 results of 13,067 for search 'testing ability', query time: 0.18s Refine Results
  1. 10581
  2. 10582

    A Speed-Invariant Template-Based Approach for Estimating Running Temporal Parameters Using Inertial Sensors by Rachele Rossanigo, Marco Caruso, Elena Dipalma, Cristine Agresta, Lucia Ventura, Franca Deriu, Andrea Manca, Taian M. Vieira, Valentina Camomilla, Andrea Cereatti

    Published 2025-01-01
    “…All the implemented methods were tested on 30 runners at different speeds ranging from jogging to sprinting (8 km/h, 10 km/h, 14 km/h, 19-30 km/h) on both treadmill and overground. …”
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  3. 10583

    Calibrating multiplex serology for Helicobacter pylori by Emmanuelle A. Dankwa, Martyn Plummer, Daniel Chapman, Rima Jeske, Julia Butt, Michael Hill, Tim Waterboer, Iona Y. Millwood, Ling Yang, Christiana Kartsonaki

    Published 2025-08-01
    “…Results All models showed high discriminative ability with at least 95% area under the curve (AUC) estimates on the training and test data. …”
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  4. 10584

    A High-Sensitivity, Bluetooth-Enabled PCB Biosensor for HER2 and CA15-3 Protein Detection in Saliva: A Rapid, Non-Invasive Approach to Breast Cancer Screening by Hsiao-Hsuan Wan, Chao-Ching Chiang, Fan Ren, Cheng-Tse Tsai, Yu-Siang Chou, Chun-Wei Chiu, Yu-Te Liao, Dan Neal, Coy D. Heldermon, Mateus G. Rocha, Josephine F. Esquivel-Upshaw

    Published 2025-06-01
    “…In this study, we present a biosensor integrated with a reusable printed circuit board (PCB) and functionalized glucose test strips designed for rapid and non-invasive HER2 detection in saliva. …”
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  5. 10585

    A web-based dynamic nomogram for predicting readmission in patients with heart failure with preserved ejection fraction by Yi Ji, Guodong Wang, Yue Hu, Xiaotong Wang, Wanling Wu, Yuanyuan Luo, Yanqing Pan, Jie Liu, Lei Li, Hong Zhu, Defeng Pan

    Published 2025-06-01
    “…The AUC-ROC of the training [0.801, 95% confidence interval (CI): 0.767–0.837] and the test datasets (0.773, 95% CI: 0.713–0.824) demonstrated that the model had good predictive ability for risk factors, the calibration plots demonstrated the excellent agreement. …”
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  6. 10586

    Feedback-Based Validation Learning by Chafik Boulealam, Hajar Filali, Jamal Riffi, Adnane Mohamed Mahraz, Hamid Tairi

    Published 2025-07-01
    “…These remarkable results underscore FBVL’s ability to optimize performance on established datasets and its capacity to minimize loss. …”
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  7. 10587
  8. 10588

    Evaluating the Accuracy of an Artificial Intelligence-Based Application for Diagnosing Temporomandibular Disorders by Haeseong Lee, Salma Awwad, Areeg Elmusrati, Chinmayee Patil, Sang Chung, Anette Vistoso, Amila Adili, Parish Sedghizadeh

    Published 2025-12-01
    “…This study evaluates the diagnostic accuracy of the AI-driven myTMJ© application (myTMJ©) by comparing its outputs to clinical diagnoses made by board-certified orofacial pain specialists at the Herman Ostrow School of Dentistry of USC. The app’s ability to identify the diagnosis most closely associated with a user’s chief complaint was assessed.Methods To test whether the observed accuracy of myTMJ differs from a hypothesized benchmark of 90%, a one-proportion z-test was conducted at a significance level of α = 0.05 (two-sided). …”
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  9. 10589

    GEOMAPLEARN 1.2: detecting structures from geological maps with machine learning – the case of geological folds by D. Oakley, D. Oakley, C. Loiselet, T. Coowar, T. Coowar, V. Labbe, J.-P. Callot

    Published 2025-02-01
    “…Both methods demonstrate the ability of machine learning to interpret folds on geological maps and have potential for further development targeting a wider range of structures and datasets.…”
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  10. 10590
  11. 10591
  12. 10592

    An exploration of distinguishing subjective cognitive decline and mild cognitive impairment based on resting-state prefrontal functional connectivity assessed by functional near-in... by Zhengping Pu, Zhengping Pu, Hongna Huang, Man Li, Hongyan Li, Xiaoyan Shen, Qingfeng Wu, Qin Ni, Yong Lin, Donghong Cui

    Published 2025-01-01
    “…FC strength and neuropsychological test scores were extracted as features to build classification and predictive models through machine learning. …”
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  13. 10593
  14. 10594

    Establishment and validation of a model for predicting the SSIGN score and prognosis of patients with clear cell renal cell carcinoma based on CT radiomic features and clinical ind... by ZHI Kaiyue, YANG Zhitao, ZHANG Shuo, ZHU He, WANG Yanmei, ZHAO Lianzi, WANG Ning, ZHAO Xia, LI Xianjun, CHENG Nan, WANG Yicong, CHEN Chengcheng, WANG Nan, NIE Pei

    Published 2025-06-01
    “…Results In the training set, this model had an AUC of 0.93 in predicting SSIGN score in ccRCC patients, while it had an AUC of 0.92 in the test set. The calibration curves showed that the combined model had high calibration ability for predicting SSIGN score in both the training set and the test set, and the DCA results showed that the combined model had a relatively high net clinical benefit in the test set. …”
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  15. 10595

    Detecting Postural Instability in Parkinson’s Disease From IMU-Based Objective Measures by Kendal Smith, Diego Torricelli, Miguel Gonzalez-Sanchez, Javier Ricardo Perez-Sanchez, Elisa Luque-Buzo, Francisco Grandas, Juan Miguel Marin, Jorge Andres Gomez-Garcia

    Published 2025-01-01
    “…This paper demonstrates the ability of certain IMU-derived features to distinguish between H&Y Stages II and III, presenting more straightforward and objective measurements compared to conventional pull test metrics. …”
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  16. 10596

    Anticancer activity of Ilex khasiana, a rare and endemic species of holly in Northeast India, against murine lymphoma by Charles Lalnunfela, Pawi Bawitlung Lalthanpuii, Hmar Tlawmte Lalremsanga, Zothansiama, Chhaihlo Lalmuansangi, Mary Zosangzuali, Nachimuthu Senthil Kumar, Tochhawng Lalhriatpuii, Kholhring Lalchhandama

    Published 2025-01-01
    “…An alkylated phenol, 2,6-di-tert-butylphenol, was the predominant compound. Acute toxicity test indicated that the plant extract was non-toxic even at the highest dosage tested, i.e., 2000 mg/kg body weight. …”
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  17. 10597
  18. 10598

    The New Phytocomplex AL0042 Extracted from Red Orange By-Products Inhibits the Minimal Hepatic Encephalopathy in Mice Induced by Thioacetamide by Loredana Vesci, Giulia Martinelli, Yongqiang Liu, Luca Tagliavento, Mario Dell’Agli, Yunfei Wu, Sara Soldi, Valeria Sagheddu, Stefano Piazza, Enrico Sangiovanni, Francesco Meneguzzo

    Published 2025-03-01
    “…At the end of the treatment, the rotarod test was conducted to evaluate motor ability, along with the evaluation of blood biochemical, liver, and brain parameters. …”
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  19. 10599

    Enhancing affordance perception in pre-service physical education teachers: effects of content knowledge, motor experience and visual experience programs by Mariëtte van Maarseveen, Jonas Leenhouts, Annemarie de Witte, Eline Flux, Hemke van Doorn, John van der Kamp, John van der Kamp

    Published 2025-07-01
    “…Participants were divided into three experimental groups (content knowledge, motor experience, visual experience) and one control group. Pre- and post-tests involved watching cricket scenarios to assess affordance perception, with gaze behavior tracked through eye-tracking technology.ResultsIn the post-test, participants demonstrated faster intervention times, reduced uncertainty, and a broader, more differentiated perception of affordances. …”
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  20. 10600

    Effects of blenderized watermelon consumption on satiety and postprandial glucose in overweight and obese adolescents by Caitlin Rasmussen, Martin Rosas, Jr., Isabella Gallardo, Anna J. Kwon, Hoa Luu, Changqi Liu, Shirin Hooshmand, Mark Kern, Mee Young Hong

    Published 2025-03-01
    “…Methods: In a randomized crossover design, 20 participants consumed 240 mL of either blenderized watermelon (WM) or an isocaloric sugar-sweetened beverage (SSB) on separate days. A triangle sensory test assessed participants' ability to distinguish between WM with and without rind, while acceptability assessments rated flavor, sweetness, and overall satisfaction using a seven-point hedonic scale. …”
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