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  1. 4341

    Non-invasive arterial input function estimation using an MRA atlas and machine learning by Rajat Vashistha, Hamed Moradi, Amanda Hammond, Kieran O’Brien, Axel Rominger, Hasan Sari, Kuangyu Shi, Viktor Vegh, David Reutens

    Published 2025-05-01
    “…Conclusion This study introduces a new approach for AIF estimation in dynamic PET using brain PET images, a probabilistic vascular atlas, and machine learning techniques. …”
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  2. 4342

    How do crate materials impact the winter transport of broilers? by Myunghwan Yu, Elijah Ogola Oketch, Nuwan Chamara Chathuranga, Shan Randima Nawarathne, Venuste Maniraguha, Bernadette Gerpacio. Sta. Cruz, Eunsoo Seo, Jeseok Lee, Jung Min Heo

    Published 2025-03-01
    “…Methods A total of 175 (35-day-old) Ross 308 male broilers with an average body weight of about 1,708±33.3 g (mean±standard error of the mean) were picked after 4 hours of feed withdrawal before transport. …”
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  3. 4343

    Adherence to chemotherapy and associated factors among adult patients with cancer in the Amhara region, Ethiopia, 2022 by Sewunet Ademe, Tariku Mohammed, Afework Edmealem, Belachew Tegegne, Bekalu Bewket, Atsedemariam Andualem, Abebaw Bires

    Published 2025-04-01
    “…The Hosmer Lemeshow test was used to confirm the model's appropriateness, and multi-collinearity was verified with a standard error. Results The proportion of good adherence in the Amhara region is 42.3% (95%CI [37.6–47.6]). …”
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  4. 4344

    Tablets Development Based on Clover Meadow Grass Phytosubstance Using Design of the Experiment Method and QdD Tools by A. N. Golubev, Th. I. Nguen, V. V. Sorokin, I. E. Kauhova

    Published 2020-08-01
    “…It is shown that the calculation error does not exceed 10 %, and the proposed optimization algorithm and the model derived from it can be successfully used to optimize the composition of tablets.…”
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  5. 4345

    The use of a novel toe–thumb pressure index for assessing arterial status in the lower limb. A reliability and validity study by Juliana Mazzeo, Helen A. Banwell, Peta E. Tehan, Grace Anderson, Kristin Graham

    Published 2024-12-01
    “…Thumb measures were significantly more comfortable than brachial measures (5 mm, p < 0.00). Conclusion Thumb systolic pressures are correlated with brachial systolic pressures, with reasonable intra‐rater reliability, however, correlation is only fair and measurement error wider than clinically acceptable. …”
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  6. 4346

    An objective test to assess upper limb functionality in patients with breast cancer-related lymphedema: investigation of the psychometric properties of the upper limb functional te... by Sukriye Cansu Gultekin, Ahmet Burak Cakir, Zeynep Gulsum Guc, Faruk Recep Ozalp, Merve Keskinkilic, Tugba Yavuzsen, Didem Karadibak

    Published 2025-05-01
    “…Results The ULIFT showed excellent test-retest reliability [ICC [95%] 0.92 (0.86–0.96)], a standard error of measurement of 3.91 s, and a minimum detectable change of 10.83 s. …”
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  7. 4347

    A new validated Lymphoedema-specific Patient Reported Outcome Measure (LYMPROM) for adults with Lymphoedema. by Melanie Thomas, Marie Gabe-Walters, Ioan Humphreys, Alan Watkins

    Published 2025-01-01
    “…Following COSMIN guidelines, validation study phases used anonymised routinely collected data to examine internal consistency, structural validity, construct validity (compared with the EQ5D-5L), measurement error, test-retest reliability and responsiveness.…”
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  8. 4348

    Evaluation of small vessel disease burden on MRI and stroke outcomes by Janet Nguyen, Nicholas Vo, Nicholas Vo, Peter D. Chang, Peter D. Chang, Chanon Chantaduly, Wengui Yu, Jennifer E. Soun, Jennifer E. Soun

    Published 2025-07-01
    “…The combined model also better predicted the following outcomes with lower mean absolute error (MAE): NIHSS MAE 5.16 (3.80–6.69), ICU days 1.26 (0.86–1.66), total length of stay 2.62 (2.08–3.17), and 90 day mRS 1.74 (1.39–2.12).ConclusionCombining an SVD score with clinical variables improved prediction of stroke outcomes when compared to either predictor alone, although the added value is modest and requires further validation. …”
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  9. 4349

    Machine learning-based prediction method for open-pit mining truck speed distribution in manned operation by Changyou XU, Gang CHEN, Qiuxia ZHANG, Bo WANG, Hongwang ZHANG, Hongrui LI, Weiwei QIN, Muyang LI

    Published 2025-06-01
    “…Among these models, the Random Forest-based model exhibited lower mean squared error and a higher coefficient of determination, outperforming the XGBoost-based model. …”
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  10. 4350

    Psychometric properties of the Chinese version of the Body Esteem Scale for Adolescents and Adults (BESAA) among adolescents by Danyang Luo, Aifei He, Qiaosong Wang, Lin Ye, Huixing Huang, Fangyi Liu, Jie Fu, Lijie Yang, Ning Yao, Kun Zhang

    Published 2025-06-01
    “…The model showed satisfactory goodness of fit in terms of both CFA and ESEM (χ2 = 172.071, df = 63, χ2/df = 2.73 (p < 0.001), Comparative fit index (CFI) = 0.972, Tucker-Lewis index (TLI) = 0.953, Root mean square error of approximation (RMSEA) = 0.050, and Standardized root mean residual (SRMR) = 0.024). …”
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  11. 4351

    Reliability and responsiveness of a tissue hardness meter and algometer for measuring tissue hardness and pressure pain threshold in upper trapezius myofascial trigger points by Soukmisai Somphithak, Uraiwan Chatchawan, Atipong Pimdee, Wiraphong Sucharit

    Published 2025-06-01
    “…Both distribution-based methods (mean difference, effect size (ES), standardized response mean (SRM), standard error of measurement (SEM), and minimal detectable change at 95% confidence (MDC95)) and anchor-based methods (minimal clinically important difference (MCID) and area under the curve (AUC)) were utilized in the analysis. …”
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  12. 4352

    Machine learning models predicting risk of revision or secondary knee injury after anterior cruciate ligament reconstruction demonstrate variable discriminatory and accuracy perfor... by Benjamin Blackman, Prushoth Vivekanantha, Rafay Mughal, Ayoosh Pareek, Anthony Bozzo, Kristian Samuelsson, Darren de SA

    Published 2025-01-01
    “…Four studies reported calibration error, with all four studies demonstrating significant miscalibration at either two or five-year follow-ups amongst 10 of 14 models assessed. …”
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  13. 4353

    Efficacy on pain and knee function of Kinesio taping among patients with patellofemoral pain syndrome: a systematic review and meta-analysis by Hailong Jiao, Meng Tao, Xianyou Cui

    Published 2025-04-01
    “…Conclusion Current evidence suggests that Kinesio taping reduces pain in patients with patellofemoral pain syndrome, but its effects on knee muscle strength, knee flexion range of motion, and knee proprioception need further investigation. …”
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  14. 4354

    Effcacy and toxicity of regorafenib compared to reintrodaction of chemotherapy in metastatic colon cancer: retrospective multicenter study by E. S. Kuzmina, M. Yu. Fedyanin, I. V. Reshetov, I. A. Pokataev, V. N. Galkin

    Published 2023-09-01
    “…To reach the 0.05 probability of type I error and the 80 % study power, 178 patients (89 in each group) should be included in the study. …”
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  15. 4355

    Examining the Effects of Intersectoral Uncertainty Transmission Using a Time-Varying Model by Hamidreza Hamidi, Mirfeiz Fallah Shams, Hosein Jahangirnia, Mojgan Safa

    Published 2024-12-01
    “…In this context, uncertainty indicators are calculated using GARCH models and then tested using the TVP-VAR approach, along with an analysis of variance of the generalized prediction error of total dynamic connectedness, as well as the directional dynamic connectedness of the indicator pairs.   …”
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  16. 4356

    Comorbidity in predicting surgical outcomes for gastric cancer by V. A. Suvorov, S. I. Panin, N. V. Kovalenko, V. V. Zhavoronkova, M. P. Postolov, S. E. Tolstopyatov, A. A. Panina, Sh. R. Suleymanov, E. Sh. Vezirov, I. A. Peshkurova

    Published 2023-09-01
    “…The area under the curve (AUC) was 0.921 ± 0.01 (95 % CI: 0,96–0,998), sensitivity – 71.9 %, specifcity – 99.8 %, diagnostic accuracy – 96.4 %. Conclusion. The inclusion of comorbidity in gastric cancer patients in the predictive concept makes it possible to improve the accuracy of prediction of postoperative complications of III–V grade according to Clavien-Dindo.…”
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  17. 4357

    Enhancing Arabic Language Education through Virtual Education: Validation of a Teaching Model in Iraqi Secondary Schools by Abbas Taher Allawi Gharabat, Nasrolah Ghashghaeizadeh, Jalal Shanta Jaber, Faranak Mosavi

    Published 2025-03-01
    “…The results of the CFA demonstrated acceptable factor loadings, all exceeding 0.3, with a chi-square/df ratio of 1.46, an Incremental Fit Index (IFI) of 0.90, a Comparative Fit Index (CFI) of 0.90, and a Root Mean Square Error of Approximation (RMSEA) of 0.0054, indicating a good model fit. …”
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  18. 4358

    Low-dose caffeine enhances cognitive processing but not physical performance in fatigued taekwondo athletes: a randomized crossover trial by Alisa Nana, Papatsorn Ramyarangsi, Luksika Jamwai, Poomwut Hiranphan, Vorasith Siripornpanich, Amornpan Ajjimaporn

    Published 2025-12-01
    “…No significant differences were observed in reaction time, accuracy, or error rate in the auditory oddball task or TSAT performance across conditions (p > 0.05). …”
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  19. 4359

    Artificial intelligence based surgical support for experimental laparoscopic Nissen fundoplication by Holger Till, Ciro Esposito, Chung Kwong Yeung, Dariusz Patkowski, Sameh Shehata, Steve Rothenberg, Georg Singer, Tristan Till

    Published 2025-05-01
    “…The individual image classifiers achieved an average F1-Score of 0.9738 ± 0.1699 when adjusted for the optimal Equal Error Rate (EER) as the decision boundary. A similar performance was observed using the multi-class classifier. …”
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  20. 4360

    The role of cognitive emotion regulation strategies in health related quality of life of breast cancer patients by Kovač Aleksandra, Tovilović Snežana, Bugarski-Ignjatović Vojislava, Popović-Petrović Svetlana, Tatić Milanka

    Published 2020-01-01
    “…Positive refocusing had positive effects both on physical [a = -0.83, b = 0.50, ab = - 0.42, standard error (SE) = 0.14; 95% confidence interval (CI) = 0.17 – 0.83] and emotional well-being (a = -0.83, b = 0.29, ab = 0.24, SE = 0.13; 95% CI = -0.01 – 0.58) of the patients. …”
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