On the Convergence of Normal and Curvature Calculations with the Height Function Method for Two-Phase Flow by Antonio Cervone, Sandro Manservisi, Jieyun Pan, Ruben Scardovelli, Stéphane Zaleski

“…The height function (HF) method on a Cartesian grid integrates the volume fractions of a column of cells across the interface. …”
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Thermomechanical analysis for the theoretical optimization of W/Cu monoblocks with functionally graded interlayer by Yi Li, Dahuan Zhu, Chunyu He, Zongxiao Guo, Yang Wang, Chuannan Xuan, Baoguo Wang, Junling Chen

“…The issue of interface bonding between the W armor and heat sink has been a limiting factor for the long-term stable operation and structural integrity of these monoblocks. Functionally graded materials (FGMs) are regarded as an effective approach to address severe local stress concentration at the bonding interface. …”
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Group and Phase Velocity of Love Waves Propagating in Elastic Functionally Graded Materials by Piotr KIEŁCZYŃSKI, Marek SZALEWSKI, Andrzej BALCERZAK, Krzysztof WIEJA

“…This paper presents a theoretical study of the propagation behaviour of surface Love waves in nonhomogeneous functionally graded elastic materials, which is a vital problem in acoustics. …”
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Leveraging core enzyme structures for microbiota targeted functional regulation: Urease as an example by Shengguo Zhao, Huiyue Zhong, Yue He, Xiaojiao Li, Li Zhu, Zhanbo Xiong, Xiaoyin Zhang, Nan Zheng, Diego P. Morgavi, Jiaqi Wang

“…Here, we present an innovative methodology that integrates core enzyme identification, protein structural characterization, regulator virtual screening, and functional validation to achieve precise microbiome functional regulation. …”
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Statistical Multiscore Functional Atlas Creation for Image-Guided Deep Brain Stimulation by Xiongbiao Luo, Zhuo Zeng, Song Zheng, Jianhui Chen, Pierre Jannin

“…Based on these steps, the statistical functional atlas is created by integrating anatomical information analysis with multiple clinical scores that postoperatively characterize stimulation efficacy (e.g., motor symptom) and adverse effect. …”
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Fungal Melanin in Plant Pathogens: Complex Biosynthesis Pathways and Diverse Biological Functions by Hui Jia, Ning Liu, Lu Zhang, Pan Li, Yanan Meng, Wei Yuan, Haixiao Li, Dezeng Tantai, Qing Qu, Zhiyan Cao, Jingao Dong

“…The complex biosynthesis pathways and diverse biological functions of fungal melanin highlight its significant theoretical and practical importance for elucidating pathogenic mechanisms and formulating scientific control strategies.…”
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REDD1 functions at the crossroads between the therapeutic and adverse effects of topical glucocorticoids by Gleb Baida, Pankaj Bhalla, Kirill Kirsanov, Ekaterina Lesovaya, Marianna Yakubovskaya, Kit Yuen, Shuchi Guo, Robert M Lavker, Ben Readhead, Joel T Dudley, Irina Budunova

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Age-related meningeal extracellular matrix remodeling compromises CNS lymphatic function by Kate Hitpass Romero, Taylor J. Stevenson, Leon C. D. Smyth, Ben Watkin, Samuel J.C. McCullough, Luca Vinnell, Amy M. Smith, Patrick Schweder, Jason A. Correia, Jonathan Kipnis, Mike Dragunow, Justin Rustenhoven

“…Here, we identify extracellular matrix (ECM) remodeling in the aged dura as a key driver of CSF clearance deficits, demonstrating that peri-lymphatic collagen accumulation disrupts lymphatic function. Exploring immune-derived factors contributing to this ECM remodeling, we identify transforming growth factor beta 1 (TGFβ1) as a major regulator using primary human dural fibroblasts. …”
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AI Functionalities in Cobot-Based Manufacturing for Performance Improvement in Quality Control Application by Madis Moor, Martinš Sarkans, Tavo Kangru, Tauno Otto, Jüri Riives

“…In the long run, AI and ML can add a layer (functionality) to make IoT devices more interactive and user-friendly. …”
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Advances in Nanohybrid Hydrogels for Wound Healing: From Functional Mechanisms to Translational Prospects by Yunfei Mo, Tao Zhou, Weichang Li, Yuqing Niu, Chialin Sheu

“…To address these limitations, nanohybrid hydrogels, composite systems that integrate functional nanomaterials into hydrogel matrices, have emerged as intelligent platforms for advanced wound care. …”
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THE ROLE OF EXECUTIVE FUNCTIONS AND EMOTIONAL REGULATION IN SUBSTANCE USE – A SYSTEMATIC REVIEW by Robert-Andrei LUNGA, Maria-Miana DINA, Cornelia RADA

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The relationship between executive functions and academic self-efficacy with ‎addiction to online games by masoud soltani nazarloo, mohammadagha delavarpour

“…Aims: This study aimed to investigate the relationship between executive functions and academic self-efficacy with online game addiction. …”
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Relation between executive functioning, sensory processing, and motor performance in children with autism by Rehab H Alsaedi

“…Notably, the model including the motor variable (measured using the BOT-2) was the best predictor of altered executive functioning in everyday and laboratory settings. Conclusions The findings of this study indicate the potential of multifaceted and clinically integrated training programs that target both sensory and motor abilities in children with autism to improve their executive functioning. …”
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Employment of a Radial Basis Function Model for Predicting the Heating Load of Construction by Yuxuan Dai

“…The innovative approaches presented in this research consist of integrating 2 advanced optimizers, namely an Improved Manta-Ray Foraging Optimizer (IMRFO) and a Population-based Vortex Search Algorithm (PVSA), with a Radial Basis Function (RBF). …”
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Scientific principles of the formation and functioning of agri-food systems under modern conditions by Varchenko O.

“…The AFS structure is analyzed based on institutional, reproductive functional and sectoral approaches. It is revealed that the use of a systemic approach in studying the AFS structure requires adherence to the following principles: integrity and unity; hierarchical construction; structuring, which allowed considering the AFS as a holistic set of elements, which is characterized by the orderliness of connections and relationships, as well as the presence of structured subsystems. …”
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Ryanodine Receptors in Islet Cell Function: Calcium Signaling, Hormone Secretion, and Diabetes by Md. Shahidul Islam

“…This review examines the role of RyRs in islet cell function, focusing on calcium signaling and hormone secretion, while addressing the ongoing debate regarding their significance due to their limited expression. …”
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Neutrosophic model for Analyzing the Effect of the Enterprise Resource Planning Functions on Business Processes by Samah Ibrahim Abdel aal, Mahmoud M. A. AbdEllatif

“…The ERP systems provide an integrated database with a single platform that supports various functional areas of the organization for improving the management of business processes. …”
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NeuAFG: Neural Network-Based Analog Function Generator for Inference in CIM by Pengcheng Feng, Yihao Chen, Jinke Yu, Zhelong Jiang, Junjia Su, Qian Zhou, Hao Yue, Zhigang Li, Haifang Jian, Huaxiang Lu, Wan'Ang Xiao, Gang Chen

“…However, conventional CIM accelerators suffer from high energy consumption due to frequent analog-to-digital (AD) and digital-to-analog (DA) signal conversions, especially when computing nonlinear activation functions (NAFs). This paper presents NeuAFG, a time-domain analog function generator designed to directly compute arbitrary NAFs in the analog domain. …”
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Removal of Metal Ions in Spin-on Hardmask Using Functionalized Porous Silica Adsorbents by Won Kim, Kiseok Lee, Hyosik Kim, Mingi Choi, Suk-Koo Hong, Ji Eun Lee

“…Isotherm analysis supported a monolayer chemical adsorption mechanism, suggesting the significance of surface functional groups in the adsorption process. These findings demonstrate the potential of functionalized mesoporous silica as a promising candidate for trace metal ion removal in semiconductor manufacturing, offering enhanced yield and improved process reliability.…”
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A multimodal functional structure-based graph neural network for fatigue detection by Dongrui Gao, Zhihong Zhou, Zongyao Peng, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

“…Recent studies have attempted to enhance detection performance through multimodal information fusion, yet they largely overlook the impact of functional connectivity among multimodal signals. To address this limitation, we propose a novel multimodal fatigue classification framework integrating electroencephalogram (EEG) and electrocardiogram (ECG) signals. …”
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