Neuroeducation: understanding neural dynamics in learning and teaching by K. Pradeep, Rajalakshmi Sulur Anbalagan, Asha Priya Thangavelu, S. Aswathy, V. G. Jisha, V. S. Vaisakhi

“…Neuroeducation, an emerging interdisciplinary field at the intersection of neuroscience and education, investigates into the complex processes underpinning learning which offering novel insights and methodologies. …”
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Classification of Prominent Cacao Pod Diseases Using Multi-Feature Visual Analysis and k-Nearest Neighbors Algorithm by Earl Clarence San Diego, Seph Gerald Rodrin, Edwin Arboleda

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Combining Style Transfer in a Frame with Random Rotation Using Convolutional Neural Networks by Mahdi Musa Semnani, Kourosh Kiani

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Predicting anxiety using Google and Youtube digital traces by Joshua Rochotte, Aniket Sanap, Vincent Silenzio, Vivek K. Singh

“…In this study, we explore how online behavior data from Google and YouTube can be used to infer anxiety levels in individuals. We collected and processed digital traces from nearly 100 participants over eight weeks and applied various machine learning techniques to extract features and build predictive models. …”
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A Multisource Retrospective Audit Method for Data Quality Optimization and Evaluation by Li Jiang, Hao Chen, Yueqi Ouyang, Canbing Li

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A multi-stage auditory model for binaural sound localization using the locally competitive algorithm by Evelyn E. Ware, Michael T. Roberts, Michael P. Flynn

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Investigating the Role of Code Smells in Preventive Maintenance by Junaid Ali Reshi, Satwinder Singh

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A Review of Photovoltaic Waste Management from a Sustainable Perspective by Abolfazl Babaei, Ali Nasr Esfahani

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Vibration-Based Fault Diagnosis of Commutator Motor by Adam Glowacz, Witold Glowacz

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Self-move and Other-move: Quantum Categorical Foundations of Japanese by Ryder Dale Walton

“… This work contributes toward the larger goal of creating a Quantum Natural Language Processing (QNLP) translation program. It contributes original diagrammatic representations of the Japanese language based on previous work on the English language. …”
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Comparing the Use of Scientific Software and Generative AI Art Tools: Exploratory research and future agenda by Francisco Queiroz

“…Still, both computational science and generative art, in their own ways, replace traditional ‘wet’ processes with abstract, dematerialised ones.  …”
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AI designed, mutation resistant broad neutralizing antibodies against multiple SARS-CoV-2 strains by Yue Kang, Kevin Jin, Lurong Pan

“…Abstract In this study, we developed a digital twin for SARS-CoV-2 by integrating diverse data and metadata with multiple data types and processing strategies, including machine learning, natural language processing, protein structural modeling, and protein sequence language modeling. …”
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Comparing the Use of Scientific Software and Generative AI Art Tools: Exploratory research and future agenda by Francisco Queiroz

“…Still, both computational science and generative art, in their own ways, replace traditional ‘wet’ processes with abstract, dematerialised ones.  …”
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Exploring the application of the microbial pigment violacein as a sustainable probe molecule for recycled paper-based SERS substrates by Alessia Tropea, Donatella Spadaro, Dario Giuffrida, Sebastiano Trusso, Daniele Giuffrida, Tania Maria Grazia Salerno, Julio Montanez, Lourdes Morales-Oyervides, Luigi Mondello, Luigi Mondello, Rosina Celeste Ponterio

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GVDF-RRT*: An Improved F-RRT* Path Planning Algorithm Based on Generalized Voronoi Diagram by Yitao Zhong, Xiaojing Zhu, Jianfang Huang, Yaokun Ye, Zhaoming Wang, Yuhuai Wang

“…Secondly, a node direct connection mechanism is established, which reduces the redundant computation and further reduces the initial time by hierarchical processing of creation nodes, while combined with the forward optimization mechanism to optimize the paths in iteration, effectively reducing the path cost. …”
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Reference Male Phantom for Internal Dosimetry-RMPID: Physical model in 3D-printing for whole-body counter calibration by Hirys Sales, Ester Andrade, Bruno Mendes

“…Additive manufacturing allows the physical reproduction of ICRP computational models with good geometric fidelity. This study aims to develop imaging manipulation techniques to generate stereolithography (STL) parts for the 3D printing a male physical phantom based on the Adult Male Reference Computational Phantom (RCP_AM) model provided in the ICRP 110 publication. …”
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Advanced Deep Learning Approaches in Detection Technologies for Comprehensive Breast Cancer Assessment Based on WSIs: A Systematic Literature Review by Qiaoyi Xu, Afzan Adam, Azizi Abdullah, Nurkhairul Bariyah

“…However, applying deep learning techniques to WSIs presents persistent challenges, including variability in image quality, limited availability of high-quality annotations, poor model interpretability, high computational demands, and suboptimal processing efficiency. …”
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A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials by Xiao Feng, Yuchen Lai, Xing Yang, Yongbin Yu, Fangling Li, Xiangxiang Wang, Jiacheng Liang, Jingye Cai, Shunze Cao

“…While numerous SNMs featuring diverse microstructural and topological designs have been engineered over the past decade, and each characterized by a distinct design domain, the existing design methodologies present inherent limitations. Although various computational strategies have been proposed, their implementation typically requires multi-stage processes and subjective parameter selection, exhibiting narrow applicability to specific SNM. …”
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Symmetric Cryptography With Shift 2^n-1, Hash Transformation, Optimization-Based Controller for Medical Image Infosecurity: Case Study in Mammographic Image by Pi-Yun Chen, Jian-Xing Wu, Chien-Ming Li, Chao-Lin Kuo, Neng-Sheng Pai, Chia-Hung Lin

“…As digital medical images can be transmitted by computer or telecommunication network, ensuring image infosecurity in public spaces is difficult. …”
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A Parameter Study of the Electromagnetic Signatures of an Analytical Mini-disk Model for Supermassive Black Hole Binary Systems by Kaitlyn Porter, Scott C. Noble, Eduardo M. Gutiérrez, Joaquín Pelle, Manuela Campanelli, Jeremy Schnittman, Bernard J. Kelly

“…The EM signatures depend on gas dynamics, orbital dynamics, and radiation processes. The gas dynamics are governed by general-relativistic magnetohydrodynamics (MHD) in a time-dependent spacetime. …”
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