Sensitivity analysis and optimization of heat transfer in the time-reliant magnetohydrodynamic bioconvective flow of radiative couple-stress hybrid nanofluid through a squeezing ch... by Seetalsmita Samal, Surender Ontela

“…The complex system of interrelated non-linear partial differential equations is converted into a set of ordinary differential equations using suitable transformations. …”
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A deep learning-assisted automatic measurement of tear meniscus height on ocular surface images and its application in myopia control by Weixiao Zhang, Hua Rong, Kaiwen Hei, Guihua Liu, Meinan He, Bei Du, Ruihua Wei, Yan Zhang

“…The AUC of the ROC curve was 0.935, and the R2 of the linear regression analysis was 0.92. The good performance and comprehensive validation of the model warrants its application to automatic TMH measurement in clinical trials of myopia control. …”
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Unraveling the Length of Hospital Stay for Patients with Urinary Tract Infections: Contributing Factors and Microbial Susceptibility by Deema Rahme, Hania Nakkash Chmaisse, Pascale Salameh

“…Statistical analyses, including descriptive statistics, bivariate tests (<i>t</i>-tests, ANOVA, and Pearson’s correlation), and multiple linear regression (significance: <i>p</i> ≤ 0.05), were performed using IBM SPSS^® 27. …”
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Empowering nurse leaders: readiness for AI integration and the perceived benefits of predictive analytics by Mohamed Hashem Kotp, Hossam Ali Ismail, Hassan Ahmed Awad Basyouny, Mohamed Ahmed Aly, Abdelaziz Hendy, Abdulqadir J. Nashwan, Ahmed Hendy, Aliaa Ezz Eldin Abd Elmoaty

“…Confirmatory Factor Analysis (CFA) was subsequently performed to validate the factor structure. Multiple linear regression analysis was conducted to identify significant predictors of AI readiness and perceived benefits. …”
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Key Concepts and Models of Strategic Innovation Management in Ukraine: Modern Approaches by Skrypnyk Svitlana V.

“…The research results demonstrate that traditional linear models of innovation management are losing their efficiency and are being replaced by more flexible approaches such as Agile, Lean Startup, and other iterative methods. …”
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Estimation of nitrogen uptake, biomass, and nitrogen concentration, in cover crop monocultures and mixtures from optical UAV images by Paolo Dal Lago, Nikolaos Vavlas, Lammert Kooistra, Gerlinde B. De Deyn

“…As the CC biomass is incorporated into the soil and decomposes, N is released for the following main crop. The efficiency of CC N uptake and release depends on CC quantity and quality, which can be enhanced in mixtures. …”
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Influence of internal heat source on penetrative convection in a dual-component hybrid nanofluid layer by Y.H. Gangadharaiah, Manjunatha N, M. Girinath Reddy, Maryam Ali Alghafli, Irshad Ayoob, Nabil Mlaiki

“…The system exhibits complex thermosolutal convection, influenced by double-diffusive effects, internal heat generation, and the distribution of nanoparticles. A linear stability analysis is performed using the single-term Galerkin method, which is applied to the governing equations derived under the Boussinesq approximation. …”
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Método estadístico factorial a dos niveles aplicado en los experimentos de explotación de los Simuladores. // Two levels factorial statistical method applied in experiments of Simu... by P. Moreno Quintana, J. Villar Cociña

“…The use of the factorial statistical method at two<br />levels allows the obtaining of a linear model with answer about efficiency or qualification based on the quantitative form of<br />use of diverse means of training and its combinations. …”
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Analytical Validation of MyProstateScore 2.0 by Jacob I. Meyers, Tabea M. Schatz, Cameron J. Seitz, Rachel Botbyl, Bradley S. Moore, Bill G. Crafts, John R. Kitchen, Spencer Heaton

“…<b>Results</b>: MPS2 analytes demonstrated high linearity (R² ≥ 0.975) across defined quantification ranges, with PCR efficiencies of 97–105%. …”
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Equation Built by Multiple Adaptive Regression Spline to Estimate Biological Age in Healthy Postmenopausal Women in Taiwan by Chun-Feng Chang, Ta-Wei Chu, Chi-Hao Liu, Sheng-Tang Wu, Chung-Chi Yang

“…MARS was applied, with the results compared to traditional multiple linear regression (MLR). The method with the smaller degree of estimation error was considered to be more accurate. …”
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Performance of Cassava under Lime, Fertilizer, and Legume Intercropping on Exhausted Land in Northern Zambia by Peter Kaluba, Sydney Mwamba, Dany Pascal Moualeu-Ngangue, Martin Chiona, Kalaluka Munyinda, Etti Winter, Hartmut Stützel, Benson H. Chishala

“…Periodic measurements of leaf area index (LAI), light interception, weather data, and yield components were recorded. A linear mixed model with year as a random factor was performed to assess the treatment effect of lime, fertilizer, and legume species intercropping on cassava growth characteristics, radiation-use efficiency (RUE), and selected yield components. …”
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Determination of 60 Food-Borne Stimulant Drug Residues in Animal-Derived Foods by Solid-Phase Extraction Purification and Ultra-High-Performance Liquid Chromatography-Quadrupole/Or... by Liangna He, Qiang Li, Junmei Ma, Meirong Cao, Lixin Fan, Xiaowei Ren, Guohua Shi, Yan Zhang

“…The results showed that the relative deviation of the exact mass of the 60 food-borne stimulants was less than 5.0 × 10−6, which had a good linear relationship in the corresponding concentration, and the correlation coefficient (R2) was greater than 0.9966. …”
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A Novel Transformer-Based Approach for Reliability Evaluation of Composite Systems With Renewables and Plug-in Hybrid Electric Vehicles by Chiranjeevi Yarramsetty, Tukaram Moger, Debashisha Jena, Veeranki Srinivasa Rao

“…To address these issues, this research presents an advanced mixed-integer linear programming (MILP)-based algorithm for optimizing EV charging. …”
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Novel Aggregation Framework for Electric Bus Fleet Scheduling by Maros Janovec, Milan Straka, Michal Kohani, Lubos Buzna

“…We present a mixed-integer linear problem formulation to assign vehicles to service trips and find a suitable charging schedule. …”
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Surface-Related Multiple Suppression Based on Field-Parameter-Guided Semi-Supervised Learning for Marine Data by Jiao Qi, Siyuan Cao, Zhiyong Wang, Yankai Xu, Qiqi Zhang

“…The effectiveness and efficiency of our proposed method are verified through two sets of synthetic data and one marine data example.…”
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Revisiting the Control Systems of Autonomous Vehicles in the Agricultural Sector: A Systematic Literature Review by Vinayambika S. Bhat, Yong Wang

“…These advancements suggest potential navigation and operational efficiency improvements, contributing towards sustainable development goals (SDGs) related to sustainable agriculture. …”
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Radar target detector based on banded sample autocovariance matrices by Chang Qu, Xiaoying Wang, Jing Chen, Junping Yin, Jiang Hu, Zhigen Gao

“…We model radar echo data within a coherent processing interval as stationary time series governed by linear random processes, enabling the application of a time series resampling approach to establish the autoregressive sieve bootstrap consistency of the banded sample autocovariance matrix (SACM) in the spectral norm. …”
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Physical function evaluation in volleyball training based on intelligent GRNN by Kaiyuan Dong, Borhannudin bin Abdullah, Hazizi bin Abu Saad, Chenxi Lu

“…Finally, combining the structure embedding mapping mechanism with a multi-scale linear compression framework, the reconstruction of high-dimensional physiological indicators and the elimination of redundant features are achieved, improving model deployment efficiency. …”
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Post-Quantum Cryptography Resilience in Telehealth Using Quantum Key Distribution by Don Roosan, Rubayat Khan, Saif Nirzhor, Fahmida Hai

“…Despite increased computational overhead, the DAG approach efficiently handled parallel transactions, indicating improved scalability compared to traditional linear blockchains. …”
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Serum Transcription Factor EB Levels in Relation to Poor Neurological Prognosis and Mediation Effect of Stroke-Associated Pneumonia in Acute Intracerebral Hemorrhage: Evidence from... by Wang K, Zhan G, Jiang Q, Jiang C, Zheng G, Tang Z

“…Serum TFEB levels were significantly inversely correlated with both NIHSS scores and hematoma volume; had a linear relationship with likelihoods of both SAP and poor prognosis (mRS scores 3– 6), were independent of ordinal mRS scores, SAP, and poor prognosis; and were efficiently predictive of SAP and poor prognosis with analogous areas under the receiver operating characteristic curve as NIHSS scores and hematoma volume. …”
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