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  1. 3201

    Machine learning algorithms to predict depression in older adults in China: a cross-sectional study by Yan Li Qing Song, Lin Chen, Haoqiang Liu, Yue Liu

    Published 2025-01-01
    “…Thereafter, the Shapely Additive exPlanations values were utilized for model interpretation on the bases of the prediction results' substantial contributions.ResultsThe range of the area under the curve (AUC) of each model's ROC curves was 0.648–0.738, with significant differences (P < 0.01). The DCA results indicate that within various probability thresholds, LightGBM's net benefit was the highest. …”
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  2. 3202

    Hybrid Feature Selection and Classifying Stages through Electrocardiogram (ECG) Signal for Heart Disease Prediction by Babu Kumar, Radhakrishnan Soundararajan, Kanimozhi Natesan, Roobini Maridhas Santhi

    Published 2023-12-01
    “…QRS waves, which are time intervals of binary data, can be determined using the suggested technique of determining the ECG signal’s time interval from R-peak levels to the next level using double squared differences in signals. This approach involves many rounds of data sorting for decreasing noise, thresholding an ECG difference signal by examining the time interval between QRS, and then comparing relative magnitudes to identify the area of interval processing to evaluate accuracy results. …”
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  3. 3203

    Constructing representative group networks from tractography: lessons from a dynamical approach by Eleanna Kritikaki, Matteo Mancini, Matteo Mancini, Diana Kyriazis, Natasha Sigala, Simon F. Farmer, Simon F. Farmer, Luc Berthouze

    Published 2024-11-01
    “…Human group connectome analysis relies on combining individual connectome data to construct a single representative network which can be used to describe brain organisation and identify differences between subject groups. Existing methods adopt different strategies to select the network structural features to be retained or optimised at group level. …”
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  4. 3204

    Impact of Molar Distalization with Clear Aligners on Periodontal Ligament Stress and Root Resorption Risk: A Systematic Review of 3D Finite Element Analysis Studies by Ava Nazeri, Jose A. Castillo, Arash Ghaffari-Rafi

    Published 2025-01-01
    “…To determine whether molar distalization with clear aligners exceeds the PDL stress thresholds for root resorption and to assess how different attachments and anchorage methods influence stress distribution. …”
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  5. 3205
  6. 3206

    Control of the intensity of effort. heart rate or rate of perceived effort by Rui Canário-Lemos, Victor Machado-Reis, Nuno Garrido, Tiago Rafael-Moreira, Rafael Peixoto, Bruno Nobre-Pinheiro, Gabriela Monteiro, José Vilaça-Alves

    Published 2023-06-01
    “… Objective: the goal of the present study was to compare the oxygen uptake between three experimental sessions of the Air Bike PRO® class, which the difference between sessions was the method used to control intensity of effort: SL) external load corresponds to ventilatory thresholds and 90% peak VO2; SRPE) rate perceived effort; SHR) heart rate. …”
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  7. 3207

    Systematic Review of Image Segmentation Programs in Craniomaxillofacial Surgery by Khawla Rasheed, Auns Al-Neami, Haider Abbas

    Published 2025-06-01
    “…Various image segmentation programs that use different techniques, including thresholding, edge-based methods, region-based methods and machine learning-based methods, were investigated. …”
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  8. 3208

    Multinational cost-effectiveness analysis of pembrolizumab combined with chemotherapy as first-line treatment for advanced biliary tract cancer by Yuxuan Xie, Yuxuan Xie, Quanyi Liu, Shanrui Xiao, Shanrui Xiao, Xia Li, Lin Qiu, Yun Gu

    Published 2025-08-01
    “…However, the cost-effectiveness of pembrolizumab combined with gemcitabine and cisplatin remains unclear across different healthcare systems. This study evaluates its international cost-effectiveness in four countries.MethodsA partitioned survival analysis model was developed using data from the KEYNOTE-966 trial to compare costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (ICER) of pembrolizumab plus gemcitabine and cisplatin versus gemcitabine and cisplatin alone, from the healthcare system perspective of China, Japan, the United States, and Switzerland. …”
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  9. 3209

    Transfer learning based hybrid feature learning framework for enhanced skin cancer diagnosis using deep feature integration by Maridu Bhargavi, Sivadi Balakrishna

    Published 2025-09-01
    “…However, current diagnostic methods lack feature representation and model generalization. …”
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  10. 3210

    TailTimer: A device for automating data collection in the rodent tail immersion assay. by Mallory E Udell, Jie Ni, Angel Garcia Martinez, Megan K Mulligan, Eva E Redei, Hao Chen

    Published 2021-01-01
    “…TailTimer also detected significant strain differences in baseline latency. These findings valorize TailTimer in its sensitivity and reliability for measuring thermal pain thresholds.…”
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  11. 3211

    Assessment of aortic and iliac artery calcification using CT-angiography in kidney transplant candidates by Ola Sobhy A. Elmeseiny, Simon Winther, Hanne Skou Jørgensen, My Svensson, Morten Bøttcher, Per Ivarsen, Gratien Andersen, Henrik Birn, Marie Bodilsen Nielsen

    Published 2025-05-01
    “…Vascular calcification was quantified using the Agatston method on non-contrast CT and applying individual Hounsfield Unit thresholds on CT-angiographies based on the radio density of the aortic lumen. …”
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  12. 3212

    Rapid identification and susceptibility testing of Candida spp. from positive blood cultures by combination of direct MALDI-TOF mass spectrometry and direct inoculation of Vitek 2. by Evgeny A Idelevich, Camilla M Grunewald, Jörg Wüllenweber, Karsten Becker

    Published 2014-01-01
    “…All VMEs were due to fluconazole or voriconazole. This direct method saved on average 23.5 h for identification and 15.1 h for AFST, compared to routine procedures. …”
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  13. 3213

    Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imaging by Yoshihiro Obata, Dilworth Y. Parkinson, Daniël M. Pelt, Claire Acevedo

    Published 2025-05-01
    “…To reduce this noise, the self-supervised deep learning method Noise2Inverse was used on low-dose SRµCT images where segmentation using traditional thresholding techniques was not possible. …”
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  14. 3214

    Investigation of bending angle algorithm and path planning for puncture needles in transjugular intrahepatic portosystemic shunt by Qinmei Liao, Bing Li, Xihao Hu, Xiaoyun Huang, Jiacheng Guo, Yuanzhong Zhu, Wenjing He

    Published 2025-05-01
    “…Abstract Purpose Design an algorithm to calculate the bending angle of the puncture needle for transjugular intrahepatic portosystemic shunt (TIPS) procedures and achieve three-dimensional visualized path planning. Materials and methods Based on enhanced CT images, a thresholding segmentation method was used to perform three-dimensional reconstruction of the hepatic vasculature, with the target puncture point selected by the interventional physician. …”
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  15. 3215

    Sub-National Targeting of Seasonal Malaria Chemoprevention in the Sahelian Countries of the Nouakchott Initiative. by Abdisalan Mohamed Noor, Eliud Kibuchi, Bernard Mitto, Drissa Coulibaly, Ogobara K Doumbo, Robert W Snow

    Published 2015-01-01
    “…Thresholds of seasonality, population and receptive risks were defined to delineate SMC suitable health districts and define the age range of children for targeting. …”
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  16. 3216

    q-Breathers in the diatomic β-Fermi–Pasta–Ulam–Tsingou chains by Lin Deng, Hang Yu, Zhigang Zhu, Weicheng Fu, Yisen Wang, Liang Huang

    Published 2025-01-01
    “…The expression reveals an inverse square relationship between instability thresholds and system size, as well as a quadratic dependence on the mass difference, both of which have been corroborated through extensive numerical simulations. …”
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  17. 3217

    Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network by Yifei Zhang, Gengxin Zhang, Dawei Wu, Qian Wang, Ebrahim Nadimi, Penghua Shi, Hongming Xu

    Published 2024-12-01
    “…The GA-BP neural network was selected for its ability to optimize neural network weights and thresholds, thereby improving model convergence and avoiding local minima, which are common challenges in complex, non-linear problems such as spray prediction. …”
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  18. 3218

    Mapping of Flood Impacts Caused by the September 2023 Storm Daniel in Thessaly’s Plain (Greece) with the Use of Remote Sensing Satellite Data by Triantafyllos Falaras, Anna Dosiou, Stamatina Tounta, Michalis Diakakis, Efthymios Lekkas, Issaak Parcharidis

    Published 2025-05-01
    “…To address this issue, the present study focuses on mapping flooded areas and analyzing the impacts of the 2023 Storm Daniel flood in the Thessaly region (Greece), utilizing Earth Observation and GIS methods. The study uses multiple Sentinel-1, Sentinel-2, and Landsat 8/9 satellite images based on backscatter histogram statistics thresholding for SAR and Modified Normalized Difference Water Index (MNDWI) for multispectral images to delineate the extent of flooded areas triggered by the 2023 Storm Daniel in Thessaly region (Greece). …”
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  19. 3219

    Posttraumatic stress disorder in disaster-exposed youth: examining diagnostic concordance and model fit using ICD-11 and DSM-5 criteria by BreAnne A. Danzi, Ellen A. Knowles, Rachel C. Bock

    Published 2025-01-01
    “…Conclusions Using the ITQ-CG and RI-5 to assess PTSD in youth, results showed higher PTSD diagnostic rates for ICD-11 than DSM-5; this contradicts prior findings (based off approximated ICD-11 criteria) and seems largely due to differences in symptom thresholds used by the two measures. …”
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  20. 3220

    Remaining Useful Life Prediction of Bearings via Semi-Supervised Transfer Learning Based on an Anti-Self-Healing Health Indicator by Jung-Woo Kim, Kyoung-Su Park

    Published 2025-06-01
    “…Features should gradually and consistently increase over time and capture sudden deterioration within normalized specific thresholds. However, recent studies have not addressed feature extraction methods that consider all of these aspects. …”
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