The five-year survival of patients with various components of metabolic syndrome after Q-myocardial infarction by N. S. Mikhaylovska

“…To assess the reliability between groups non-parametric test Uyilkoksona-Hehana, F-Cox test, test-Cox Mantela have been used. …”
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Deep learning-based technique for investigating the behavior of MEMS systems with multiwalled carbon nanotubes and electrically actuated microbeams by Muhammad Amir, Jamshaid Ul Rahman, Ali Hasan Ali, Ali Raza, Zaid Ameen Abduljabbar, Husam A. Neamah

“…MWCNTs are promising for MEMS applications due to their significant thermal, mechanical, and electrical properties. …”
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Reliability of a German version of the Kansas City Cardiomyopathy Questionnaire (KCCQ) administered via telephone by Martha Schutzmeier, Viktoria Rücker, Jonas Widmann, Anna Grau, Caroline Morbach, John A. Spertus, Jürgen Deckert, Stefan Störk, Peter U. Heuschmann

“…For the between-method agreement, the intraclass correlation coefficient (ICC) was calculated using a non-parametric, rank-based approach. We analysed data from sixty-one HF patients. …”
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Online Trajectory Regeneration for Multirotors via a Proportional-Derivative Physics-Informed Neural Network by Mana Ghanifar, Amir Ali Nikkhah, Milad Kamzan, Mohammad Teshnehlab, Morteza Tayefi

“…The results confirm that PD-PINN enhances trajectory guidance accuracy, robustness, and computational efficiency in multirotor UAVs, making it well-suited for practical applications such as aerial mapping, environmental monitoring, and package delivery in complex and evolving conditions.…”
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Indistinguishable MHz-narrow heralded photon pairs from a whispering gallery resonator by Sheng-Hsuan Huang, Thomas Dirmeier, Golnoush Shafiee, Kaisa Laiho, Dmitry V. Strekalov, Andrea Aiello, Gerd Leuchs, Christoph Marquardt

“…The Hong–Ou–Mandel interference plays a vital role in many quantum optical applications where indistinguishability of two photons is important. …”
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Influence of Gait Speed on Inter-Joint Coordination in People with and Without Parkinson’s Disease by Patrick Ippersiel, Philippe C. Dixon, Elke Warmerdam, Robbin Romijnders, Walter Maetzler, Clint Hansen

“…Conclusions: These findings suggest that interventions addressing both joint excursion and motor adaptability may be important for improving gait function in individuals with Parkinson’s disease. Real-world applicability can be found in the potential of wearable sensors to become a valuable tool in routine clinical practice for both diagnosis and ongoing management. …”
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Subcortical and white matter alterations in canine ventriculomegaly: an observational volumetric and voxel-based-morphometry study by Tom Cornelius Cyriacks, Martin J. Schmidt, Eberhard Ludewig, Johannes Boltze, Robert Dahnke, Simone A. Fietz, Björn Nitzsche

“…Brain volumetry and voxel-based-morphometry (VBM) were conducted using automatic procedures employing the Statistical Parametric Mapping software and a canine brain atlas. …”
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A comparative study on trajectory tracking control methods for automated vehicles by Dequan Zeng, Shicong Pan, Yinquan Yu, Yiming Hu, Jinwen Yang, Peizhi Zhang, Lu Xiong, Giuseppe Carbone, Letian Gao

“…Subsequently, a lateral controller utilizing a linear parametric time-varying model predictive control (MPC) approach is proposed, and the constrained optimization problem is addressed using a quadratic programming (QP) solver. …”
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The correlation between malocclusions and morphofunctional aspects: analysis of patients aged from 7 to 12 years old by Regiane Almeida da Silva, Renato Morales Jóias, Erika Josgrilberg, Sigmar de Mello Rode, Luiz Renato Paranhos, Renata Pilli Joias

“…The data regarding the malocclusions and the related associations underwent parametric statistical tests for quantitative and qualitative analysis (ANOVA, Tukey test and Chi-square) considering the significance level at 5%. …”
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Analysis of Double‐Diffusive Transport and Entropy Generation in a Wavy Cylindrical Enclosure With Inner Heated Core: Effects of MHD and Radiation on Casson Cu─H2O Nanofluid by Mohammed Azeez Alomari, Ahmed M. Hassan, Abdalrahman Alajmi, Ameer K. Salho, Abdellatif M. Sadeq, Faris Alqurashi, Mujtaba A. Flayyih

“…These findings have practical applications in advanced heat exchanger design, thermal energy storage systems, electronic cooling technologies, and biomedical devices, where controlled heat and mass transfer of non‐Newtonian fluids is crucial.…”
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Enhancing laser surface texturing with driving training-based optimization: A metaheuristic approach by Ishwer Shivakoti, Sunny Diyaley, Partha Protim Das, Abhijit Bhowmik, A. Johnson Santhosh

“…Both single and multi-objective optimizations are conducted to determine optimal parametric settings. The study systematically examines the impression of these LBM process parameters on various responses. …”
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Prognostic machine learning models for thermophysical characteristics of nanodiamond-based nanolubricants for heat pump systems by Ammar M. Bahman, Emil Pradeep, Zafar Said, Prabhakar Sharma

“…Additionally, when the GPR-based model was extended up to 120°C, the parametric analysis confirmed the reliability and accuracy of thermal conductivity and viscosity within a relative error of 5%. …”
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Assessment of land use and land cover changes and their impact on land surface temperature in Greater Accra, Ghana by Dennis Ngminmaale Gyile, Austin Asare, Augustine Prosper Osei-Gyabaah, David Anaafo

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An analytical optimal calibration framework of bonded particle model for rock strength envelop modelling by Xiaoxiong Zhou, Hongyi Xu, Qiuming Gong, Yanan Ma, Weiqiang Xie

“…This paper developed an analytical-optimal calibration framework to automatically determine DEM bond strength parameters. Extensive parametric analysis was first conducted to obtain the relationships between DEM micro-parameters and macro strengths. …”
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THE EFFECT OF INQUIRY BASED LEARNING ON THE REASONING ABILITY OF GRADE VII STUDENTS ABOUT HEAT CONCEPT by N. A. C. Damawati, E. A. Juanda

“…Data were analyzed using descriptive statistics and statistical parametric t-test. Results of independet research shows that there are significant differences in reasoning abilities between the experimental class and control class. …”
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Enhanced automatic voltage regulation using an extended PIDA controller optimised by the snake algorithm by Nelson Dhanpal Chetty, Ravi Gandhi, Gulshan Sharma, Emre Çelik, Rajesh Kumar

“…These findings establish the SO-ePIDA framework as a robust, high-performance solution for real-world AVR applications.…”
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Attribution analysis of water-sediment variation under the influence of climate change and human activities in the Kuye River Basin by Jiankang ZHANG, Jiping WANG, Jiansheng SHI

“…The analysis method of slope change rate of cumulative quantity has good applicability and provides scientific basis for hydrological prediction and management in the Kuye River basin. …”
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A novel theta-shaped slotted patch antenna with a unique DGS for Sub-6 GHz 5G communication by Nafis Almas Nafi, Chowdhury Tasmia Israt, K.M. Ashikur Rahman, Niloy Dutta Anik, Aminur Rahman

“…A slotted theta-shaped patch antenna (TSPA) featuring a distinctive defected ground structure (DGS) is designed and presented for 5G (fifth-generation) Sub-6 GHz applications. The prototype is designed and fabricated using an affordable, widely available FR-4 (εr=4.3,tanδ=0.025) substrate and 1oz copper printed on both size. …”
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Experimental and numerical study of tubular steel columns with/without demountable bolted shear connectors embedded in the concrete by Sabry Fayed, Moataz Badawi, Mohamed Ghalla, Ehab A. Mlybari, Yahia Iskander, Saad A. Yehia

“…The FEM was also employed to conduct further parametric investigations. The results indicate that demountable shear studs significantly improve shear capacity, with specimens exhibiting a 217% higher peak load than those without studs. …”
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An Intelligent Regional Integrated Energy Dispatching Approach Considering Source-Load Uncertainty by Tianmeng Yuan, Yong Mu, Weibo Yin

“…To address the problem of insufficient consideration of source load uncertainty in traditional scheduling models, a two-layer optimization model is proposed that combines non-parametric density estimation and copula theory to improve the traditional source load uncertainty modeling method. …”
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