Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture by Mo Zhang, Yong Ge, Jianghao Wang

“…This study aims to integrate infiltration processes into downscaling models to predict 1-km multi-layer soil moisture, while comparing performance of nonlinear and linear models, and evaluating RK improvements. …”
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A Cross-Sectional Study on Current Perioperative Pain Management and Nurses’ Pain Management Self-Efficacy in China’s Interventional Department by Zhang H, Meng Y, Xu X, Li Y, Li X, Hu H, Zheng L, Hu X

“…The cumulative score for the pain self-efficacy questionnaire among nurses in the intervention department was 63.95± 21.83. Multiple linear regression analysis revealed that variables such as the acquisition of pain knowledge, the frequency of pain training in the past two years, the ratio of evaluation tools employed for assessment, the prevalent utilization of multi-dimensional evaluation instruments, and professional course studies in academia were determinants influencing pain management self-efficacy.Conclusion: Perioperative pain management by interventional department nurses in China is unstandardized and lacks continuous education. …”
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Correlation between severity of knee joint osteoarthritis and alignment of patellofemoral and patellar height on radiographs by Zhenlei Yang, Mingjie Shen, Deshun Xie, Junzhe Zhang, Qingjun Wei, Yanjie Yin

“…Spearman correlation was used for patellofemoral alignment or morphology and the radiographic severity of lateral KOA. Multiple linear regression models were used for the association between LPTA, SA, TT-TG, and severity of KOA after accounting for demographic variables. …”
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Heartbeat information prediction based on transformer model using millimetre‐wave radar by Bojun Hu, Biao Jin, Hao Xue, Zhenkai Zhang, Zhaoyang Xu, Xiaohua Zhu

“…Finally, we employ the fully connected layer was employed in the linear decoder for regression and output the predicted results. …”
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The Relationship between Learning Motivation and Achievement among Rural Senior High School Graduates by Xuan Zhou, Yufei Zhong, Haitao Jiang

“…The questionnaire results showed that students were motivated by instrumental and integrative reasons, and they also experienced significant external social pressure. The multiple linear regression analysis and correlation coefficients revealed that the variables were strongly related to FL achievement. …”
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Comparing and Combining Artificial Intelligence and Spectral/Statistical Approaches for Elevating Prostate Cancer Assessment in a Biparametric MRI: A Pilot Study by Rulon Mayer, Yuan Yuan, Jayaram Udupa, Baris Turkbey, Peter Choyke, Dong Han, Haibo Lin, Charles B. Simone

“…Overall, DL/AI showed poorer performance relative to the spectral/statistical approaches from previous studies. Multi-variable regression fitted AI average blob size and SCR results at a level of R = 0.70 (0.000003), significantly higher than the results for the univariate regression fits for AI and spectral/statistical approaches alone. …”
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Investigating Health Implications and Prevalence of Malaria among Adults by Opeyemi Paul Oduwoye, Mufutau Akanmu Popoola, Segun Raphael Adebayo, Ayoola Rasheed Gbemisola

“…Home spraying showed an unexpected positive association (odds ratio = 1.711, p = 0.039). Multiple linear regression analysis indicated that socio-economic variables explained 42.5% of the variability in malaria incidence. …”
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Automated Pupillometry Value Differences Serve as a Prognostic Indicator Even When They are Within Normal Range by Sanjay V. Neerukonda, Nathan J. Schneider, Venkatesh Aiyagari, DaiWai M. Olson

“…NPi difference (the absolute difference between paired NPi readings from the left and right eye) is a relatively unexplored variable in AIP assessment. Aim. This study evaluates the association between Glasgow Coma Scale (GCS) scores and NPi differences between the left and right eyes, when the NPi is normal, in patients enrolled in a multi-center prospective database. …”
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Evaluation of the Factors Associated with AIDS Prevention Performance among Male Barbers Based on the Health Belief Model in Fasa by Ali Khani-Jeihouni, Saeed Ranjbari, Zahra Khiyali, Zahra Moradi, Mohammad Javad Motamedi

“…To analyze the data, linear regression was run in SPSS, version 18. Results: Our findings showed that among the participants, knowledge was good, perceived sensitivity was moderate, perceived severity was low, perceived benefits were high, perceived barriers were low, and practice was at a good level. …”
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Assessing oral Health-Related quality of life in women undergoing chemotherapy for breast Cancer in Karachi Pakistan by Asad Allana, Mohiba Ali Khowaja, Alijaan Inayat, Uzma Shamsi, Yasmin Rashid, Farhan Raza Khan, Shafquat Rozi

“…Data was analyzed using simple linear regression method. Results. Among these females, 119 were married, with a mean age of 47.64 ± 10.89 years. …”
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Factors influencing student’s transition from student to workforce in intensive care units by Leonie Olivier, Charlene Downing

“…Statistical analyses used IBM SPSS (version 25, IBM Corporation) to identify predictive relationships between practice readiness and identified variables through multi-linear regression. Qualitative data collected through purposive selection and semi-structured focus group discussions were transcribed, coded and analysed through domain analysis. …”
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The Impact of Subjective Factors on Self-Assessment of Health by the Region Population by I. A. Shevchuk, T. B. Melnikova

“…However, factors of high enough differentiation of values of health self-assessment by people of different regions have not been studied yet. With the help of multi-factor linear regression two stages of research were completed: for all regions and separately for groups of RF entities with dependent variables higher and lower than medial values. …”
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Inversion of In-situ Stress Field of Large Underground Cavern Group in Complex Geology Methods and Applications by Shufeng PEI, Dongsheng ZANG, Changxin SUN, Jianhua HE, Guoliang LI, Bingrui CHEN

“…Existing inversion methods are predominantly based on multiple linear regression or neural network approaches, which mainly consider factors such as gravity and tectonic movements that influence the in-situ stress field. …”
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Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning by ZHANG Hongrui, CAO Xin, JIANG Chao, ZU Anjun, XU Mingxiang

“…A comprehensive comparative analysis was conducted against multiple linear regression (MLR), ELM, gated recurrent unit (GRU), and convolutional-long short-term memory (C-LSTM) methods. …”
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Computationally Efficient Hybrid Downscaling of Surf Zone Hydrodynamics: Methodology and Evaluation by E. R. Echevarria, S. Contardo, B. Pérez‐Díaz, R. K. Hoeke, B. Leighton, C. Trenham, L. Cagigal, F. J. Méndez

“…Three machine learning approaches of increasing complexity are compared: a multi‐variate linear regression (LR), a Radial Basis Functions (RBF) interpolator and a Deep Neural Network (DNN). …”
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Long Term Predictability of Southern Ocean Surface Nutrients Using Explainable Neural Networks by Gian Giacomo Navarra, Curtis Deutsch, Antonios Mamalakis, Andrew Margolskee, Graeme MacGilchrist

“…The TCANN model was able to predict NO3− variability with a higher skill than persistence and the two regression methods indicating that non‐linearities present in the system become too high to predict inter‐annual variability with traditional regression methods. …”
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The Impact of Chinese Foreign Direct Investment on US Industry by Baghirzade Manaf, Deniss Djakons, Daria Bilokon

“…Stationarity was verified through the Augmented augmented Dickey-Fuller test and differencing where appropriate. Preliminary linear correlations were identified through Pearson correlation analysis, and ordinary least squares regression models were employed to quantify the direction and extent to which FDI had an impact on selected indicators. …”
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Determinants of Road Traffic Accidents Among Motorcycle Riders In Four Selected Sub-Counties, Kitui County, Kenya by Mutinda FK, Juma J, Muchiri J, Kariuki P

“…Frequency and percentage were used to examine descriptive data while the association between two or more variables of interest was examined using logistic forward linear regression. …”
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The Doctor-Patient Relationship Status and the Associated Factors in Older Adults from Tehran, Iran by Hamideh Esmaeili, Yadollah Abolfathi Momtaz, Marjan Haghi, Mahshid Foroughan

“…The results of multiple linear regression analysis showed that the doctor-patient relationship variable was significantly predicted by the patients’ educational level, recommendation of another doctor for choosing a doctor, and duration of visit. …”
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Determinants of change in children's sedentary time. by Andrew J Atkin, Kirsten Corder, Ulf Ekelund, Katrien Wijndaele, Simon J Griffin, Esther M F van Sluijs

“…Change in the proportion of registered time spent sedentary was used as the outcome variable in multi-level linear regression models, adjusted for age, sex, body mass index and baseline sedentary time. …”
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