Two-Dimensional Probability Models for the Weighted Discretized Fréchet–Weibull Random Variable with Min–Max Operators: Mathematical Theory and Statistical Goodness-of-Fit Analysis... by Sofian T. Obeidat, Diksha Das, Mohamed S. Eliwa, Bhanita Das, Partha Jyoti Hazarika, Wael W. Mohammed

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Brain functional connectivity analysis of fMRI-based Alzheimer's disease data by Maitha S. Alarjani, Badar A. Almarri

“…The core of this framework discovers and analyzes functional connectivity among regions of interest (ROIs) of a human brain. …”
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Fiscal transfers and public health services in China: a macro–micro analysis by Xunhua Tu, Jie Yan, Yueyi Wang, Jing Zheng

“…IntroductionThis study innovatively integrates functional performance and systemic capacity dimensions to establish a comprehensive evaluation framework for public health services, addressing critical knowledge gaps in fiscal policy-health system interactions.MethodsUtilizing multi-source spatial panel data from 1,871 Chinese counties (2001-2020), we developed a novel assessment system combining structural equation modeling (SEM) and fuzzy comprehensive evaluation. …”
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Velocity-Based Curve Differential Repeated Sprinting Training: A Novel Approach to Shape Physical Performance in Young Basketball Players by Jorge Arede, Jack Wells, Mark Williams, Franc Garcia, Wolfgang Schöllhorn

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Modified GIC Estimation Using 3‐D Earth Conductivity by Anna Kelbert, Greg M. Lucas

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Influence of Emergent Vegetation Layout on Flow Pattern in a Rectangular Shallow Basin by Junnan LYU, Yuxuan JIANG, Zhidong YAO, Chen YE, Xufeng YAN

“…The hydrodynamics within a shallow basin dictate its efficiency in treatment, water exchange rate, and the ratio of stagnant water areas. …”
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SWRD–YOLO: A Lightweight Instance Segmentation Model for Estimating Rice Lodging Degree in UAV Remote Sensing Images with Real-Time Edge Deployment by Chunyou Guo, Feng Tan

“…Rice lodging severely affects crop growth, yield, and mechanized harvesting efficiency. The accurate detection and quantification of lodging areas are crucial for precision agriculture and timely field management. …”
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Reduction of hydrogen absorption into materials of membrane electrode assemblies in hydrogen generators by M. V. Lebedeva, A. V. Ragutkin, I. M. Sidorov, N. A. Yashtulov

“…The service life test results and performance of the designed variants of prototypes of membrane electrode assemblies with nanostructured electrodes based on reduced graphene oxide, preventing hydrogen absorption into functional materials and their degradation, demonstrated the creation of hydrogen generators with high energy efficiency shows potential.…”
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The Influence of Artificial Intelligence Tools on Learning Outcomes in Computer Programming: A Systematic Review and Meta-Analysis by Manal Alanazi, Ben Soh, Halima Samra, Alice Li

“…While AI tools enhance computer programming proficiency and efficiency, their effectiveness depends on factors such as tool functionality and course design. …”
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Enhancing Transpiration Estimates: A Novel Approach Using SIF Partitioning and the TL-LUE Model by Tewekel Melese Gemechu, Baozhang Chen, Huifang Zhang, Junjun Fang, Adil Dilawar

“…This study introduces a novel approach to enhance ET estimation by integrating SIF partitioning with Photosynthetically Active Radiation (PAR) and leaf area index (LAI) data, utilizing the TL-LUE model (Two-Leaf Light Use Efficiency). Partitioning SIF data into sunlit and shaded components allows for a more detailed representation of the canopy’s functional dynamics, significantly improving ET modelling. …”
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ESTIMATING AND ANALYZING THE FUNCTIONS OF THE IMPORTS OF STRATEGIC CROPS IN SOME DEVELOPING COUNTRIES FOR THE PERIOD (1980-2010) by Kays Ghazal, Mohammad Subhi Al-Mashhadani

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Sol–gel auto-combustion synthesis of a novel ternary magnetic-recyclable ZnFe2O4/ZnO/CeO2 nano-photocatalyst for highly efficient visible-light-induced degradation of organic conta... by Saba Roostaei, Hanieh Ansarinejad, Elmuez A. Dawi, Forat H. Alsultany, Salman Khalaf Issa, Mina Ahmadi-Kashani, Masoud Salavati-Niasari

“…Abstract The creation and design of highly efficient photocatalysts responsive to visible light are critically required to address pressing environmental challenges. …”
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Performance and variability analysis of ALD-grown wafer scale HfO2/Ta2O5-based memristive devices for neuromorphic computing by Sanjay Kumar, Sanjay Kumar, Deepika Yadav, Spyros Stathopoulos, Themis Prodromakis

“…Furthermore, the fabricated devices efficiently perform the synaptic functionalities in terms of potentiation (P) and depression (D), paired-pulse facilitation (PPF), and paired-pulse depression (PPD), with a least value of nonlinearity (NL) factor of 0.43 in synaptic response, which is close to the ideal value of NL in biological synapses. …”
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Approximate power flow solutions‐based forecasting‐aided state estimation for power distribution networks by Zhenyu Wang, Zhao Xu, Donglian Qi, Yunfeng Yan, Jianliang Zhang

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Variable thermal conductivity effects on MHD flow of non-Newtonian ternary hybrid nanofluid between rotating disks, A Cattaneo–Christov heat transfer analysis by Hussan Zeb, Kamal Shah, Manar Alqudah, Thabet Abdeljawad

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Nonparametric Estimation Method for the Distribution Function Using Various Types of Ranked Set Sampling by Ramy Ghareeb, Rikan AL khalidi

“…Also, when  is used to analyze  data, it takes advantage of the reduced variability within each ranked set, resulting in more precise and reliable regression function estimates. …”
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Gut Microbiome Diversity and Uric Acid in Serum and Urine by Cecilie Ness, Dmitri Svistounov, Marit D. Solbu, Natalia Petrenya, Neoma Boardman, Kirsti Ytrehus, Trond G. Jenssen, Andrew Holmes, Stephen J. Simpson, Svetlana N. Zykova

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A New Approach to Topology Optimization with Genetic Algorithm and Parameterization Level Set Function by Igor Pehnec, Damir Sedlar, Ivo Marinic-Kragic, Damir Vučina

“…Using the B-spline interpolation function, the number of variables describing the level set function was decreased, enabling the application of evolutionary methods (genetic algorithms) in the topology optimization process. …”
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A Penalized Orthogonal Kriging Method for Selecting a Global Trend by Xituo Zhang, Guoxing Gao, Jianxin Zhao, Xinmin Li

“…In this paper, we introduce a new method for combining orthogonal kriging with penalized variable selection. Furthermore, an efficient algorithm is given to select the correct mean function. …”
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P-GELU: A Novel Activation Function to Optimize Whisper for Darija Speech Translation by Maria Labied, Abdessamad Belangour, Mouad Banane

“…Activation functions play a critical role in optimizing deep learning models, directly influencing gradient flow, convergence stability, and overall translation accuracy. …”
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