Structural validity and internal consistency of the Patient Centred Assessment Method in a primary care setting in a Japanese island area: a cross-sectional study by Masato Matsushima, Shuhei Yoshida, Rieko Mutai, Yoshifumi Sugiyama, Ryoko Horiguchi, Hisashi Yoshimoto

“…Confirmatory factor analysis found that the previously reported two-factor and three-factor structures did not show a good fit (root mean square error of approximation 0.18 and 0.16, comparative fit index 0.83 and 0.89 and standardised root mean square residual 0.14 and 0.11, respectively). …”
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High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms by Gabriela Nunes Lopes, Pedro I. N. Barbalho, Jose Carlos Melo Vieira, Denis V. Coury

“…Subsequently, these algorithms are evaluated and compared based on their error rates in locating HIFs. Finally, a new intelligent-based method for HIF location in DSs is proposed and extensively evaluated, including a comparison with existing approaches and a generalization analysis, which showed high successful rates and strong potential for practical application.…”
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Current status and influencing factors of pelvic floor muscle training adherence in rectal cancer patients with prophylactic ostomy by LIU Na, PI Hongying, GAO Na

“…Univariate analysis, correlation analysis, LASSO regression, and random forest importance ranking were applied to screen the variables, and multiple linear regression analysis was conducted to analyze the significant variables. …”
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An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines by Sema Nur Ipek, Nur Bekiroglu, Murat Taskiran

“…The visualization analysis confirmed the model’s strong predictive capability, as the error distribution is tightly clustered around zero, the estimated values align closely with the ideal line, and the real trends in efficiency and torque across various load conditions are accurately represented. …”
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The Reliability of a Novel Structured Testing Device for Single-breath Lung Carbon Monoxide Uptake: A Randomized Comparison Crossover Study by Shihua Yao, Tuping Fu, Kuiqing Lin, Zhongping Wu, Shubing Chen, Liping Zhong, Beilan Shen, Yanqing Xie, Jiaying An, Xudong Wang, Wenting Liu, Xinxin Yu, Jinping Zheng, Yi Gao

“…Simulator test results showed MeAir had a CO error range of -3.80% to -1.00% and CH4 error range of -0.50–1.00%, while MasterScreen had a CO error range of -2.53–0.00% and CH4 error range of -1.83% to -0.63%, indicating superior CO detection by MasterScreen and better CH4 detection by MeAir. …”
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Stress can be detected during emotion-evoking smartphone use: a pilot study using machine learning by Lydia Helene Rupp, Akash Kumar, Misha Sadeghi, Lena Schindler-Gmelch, Marie Keinert, Bjoern M. Eskofier, Bjoern M. Eskofier, Matthias Berking

“…XGBoost showed to be more reliable for prediction, with lower error for both training and test data.DiscussionThe findings provide further evidence that non-invasive video recordings can complement standard objective and subjective markers of stress.…”
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Explaining the Earnings Management Prediction Model Using the Hybrid of Machine Learning Methods by Hassan Hassani, Esfandiar Malekian Kallehbasti, Yahya Kamyabi

“…Also, to test the hypotheses, the criteria of average accuracy and type I and type ΙΙ errors were used. The results show that the performance of accrual-based earnings management forecasting methods based on the relief-based feature selection model is better than the feature selection model based on principal component analysis. …”
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The Effect of Digital Addiction Training on University Students’ Digital Addiction, Sleep Quality, and Orexin-A Levels: Randomized Controlled Trial by Zehra İncedal Sonkaya, Burak Yazgan

“…Upon completion of the training program, both the intervention and control groups underwent a post-test, and their orexin-A levels were remeasured. In the analysis of data, independent sample t-test, one-way analysis of covariance (ANCOVA), Spearman and Pearson’s correlation tests were used for correlation analyses. …”
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Research on fault monitoring of belt conveyor based on FBG sensor by Xinqiu FANG, Yang WU, Yang SONG, Ningning CHEN, Yulong FENG, Haotian FENG, Dexing HE, Fukang QIAO

“…This comprehensive study delves into the multi-sensor fault monitoring of belt conveyors utilizing Fiber Bragg Gratings (FBGs), examining aspects such as common fault analysis, the composition of integrated protection systems, the design and analysis of fiber-optic sensor arrays, and the design and material selection of core sensing elements.Firstly, to address the shortcomings of traditional monitoring methods, including the inability to quantify faults, inadequate real-time performance, and weak data fusion capabilities, an FBG-based integrated protection system for belt conveyors is proposed. …”
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Predictive value of conventional ultrasonography combined with three-dimensional speckle tracking imaging for maturation of autologous arteriovenous fistulas in hemodialysis patien... by YUAN Yuan, LUO Peng, FENG Xue

“…Internal validation was performed through 1 000 bootstrap resamples with calibration curve analysis. Model discrimination was quantified by the area under the receiver operating characteristic curve (AUC), while clinical utility was assessed via decision curve analysis (DCA). …”
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Modeling Factors Influencing Project Financing Risk by Gholamreza Sharafi, Kiamars Fathi Hafashjani, Faegh Ahmadi

“…This surpasses the critical t-value at the 5% error level, underscoring the statistically significant influence of financing methods on political risk. …”
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Combining UAV Remote Sensing with Ensemble Learning to Monitor Leaf Nitrogen Content in Custard Apple (<i>Annona squamosa</i> L.) by Xiangtai Jiang, Lutao Gao, Xingang Xu, Wenbiao Wu, Guijun Yang, Yang Meng, Haikuan Feng, Yafeng Li, Hanyu Xue, Tianen Chen

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Satellite-derived steric height in the Southern Ocean: trends, variability, and climate drivers by J. Cocks, J. Cocks, A. Silvano, A. C. Naveira Garabato, O. Dragomir, O. Dragomir, N. Schifano, A. E. Hogg, A. Marzocchi

“…We find good agreement north of 65° S, but there is increasing uncertainty towards the Antarctic continental shelf due to insufficient validation data, the leakage error, and anti-aliasing in GRACE. …”
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Associations between ambient particulate matter exposure and the prevalence of arthritis: Findings from the China Health and Retirement Longitudinal Study. by Yuntian Ye, Kuizhi Ma, Aifeng Liu

“…There is a lack of comprehensive analysis regarding the influence of various particulate pollutants and their key constituents on arthritis prevalence. …”
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A Forecasting Method for COVID-19 Epidemic Trends Using VMD and TSMixer-BiKSA Network by Yuhong Li, Guihong Bi, Taonan Tong, Shirui Li

“…Experimental results based on COVID-19 case data from Italy and the United States demonstrate that the proposed model significantly outperforms existing mainstream methods across various error metrics, achieving higher prediction accuracy and robustness.…”
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Obstacle avoidance algorithm based on sub-image segmentation and mapping point cloud space by Liya ZHANG, Chenxin LI, Bin LIU, Zhifang YANG

“…The experimental results show that when the side length of the sub-image is 10.0 mm, the maximum relative error is less than 1.53%, the convergence time of the algorithm is 1.243 s, and both the inversion accuracy of the obstacle outer diameter and the convergence speed meet the actual application requirements; the algorithm has a high accuracy rate and obstacle avoidance efficiency in static obstacle, dynamic obstacle and multi-robot obstacle avoidance environments, meets the needs of inspection robots for real-time environmental data collection and obstacle avoidance, and has a high practical application value.…”
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mHealth Engagement for Antiretroviral Medication Adherence Among People With HIV and Substance Use Disorders: Observational Study by Ranran Z Mi, Ellie Fan Yang, Alexander Tahk, Adati Tarfa, Lynne M Cotter, Linqi Lu, Sijia Yang, David H Gustafson Sr, Ryan Westergaard, Dhavan Shah

“…Using the weekly check-in record provided by participants as the unit of analysis (N=681), linear regression and structure equation models with cluster-robust SEs were used for analyses, controlling within-person autocorrelation and group-level error correlations. …”
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Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones by Debasish Roy, Bappa Das, Pooja Singh, Priyabrata Santra, Shovik Deb, Bimal Kumar Bhattacharya, Ajit Govind, Raghuveer Jatav, Deepak Sethi, Tridiv Ghosh, Joydeep Mukherjee, Vinay Kumar Sehgal, Prakash Kumar Jha, Sheshakumar Goroshi, P. V. Vara Prasad, Debashis Chakraborty

“…The calibration accuracy of the RF model was in better agreement with the coefficient of determination (R2), root mean square error (RMSE), and normalized RMSE (nRMSE) values ranging between 0.961–0.997, 0.103–0.439 K, and 0.034–0.143%, respectively, and lower values of standard errors for all three locations. …”
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MSAVI-Enhanced CASA Model for Estimating the Carbon Sink in Coastal Wetland Area: A Case Study of Shandong Province by Huaqiao Xing, Yuqing Zhang, Linye Zhu, Na Xu, Xin Lan

“…The proposed model was then used for carbon sink estimation and analysis of Shandong coastal area. The results indicate the following: First, the average NPP_MSAVI across Shandong coastal area was improved by 99.12 gC&#x00B7;m^&#x2212;2, 36.17&#x0025;, and 60.53 gC&#x00B7;m^&#x2212;2 in BIAS, relative bias, and root-mean-square error, respectively. …”
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IMPACT OF PREOPERATIVE STAGING OF PROSTATIC CANCER ON POSITIVE SURGICAL MARGIN INCIDENCE FOLLOWING RADICAL PROSTATECTOMY by V. L. Medvedev, V. V. Lysenko, L. G. Rosha, A. V. Medvedev, I. V. Mikhailov, A. I. Strelyaev, O. N. Ponkina

“…The interrelation between staging errors and frequency of PSM was studied. Outcomes Analysis For patients with locally-advanced PC the adequate staging according to TPFB was noted only in 18,7% cases. …”
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